DESC:TECHNICAL FIELD
The present disclosure generally relates to Heating Ventilation and Air Conditioning (HVAC) systems. More particularly, the present disclosure relates to a control system to control air discharge through the HVAC systems and a method thereof.

BACKGROUND
Heating, ventilation, and air conditioning (HVAC) systems are critical for maintaining comfortable and healthy indoor environments in residential, commercial, and industrial buildings. The HVAC systems regulate temperature, humidity, and air quality, ensuring that indoor spaces remain conducive to human occupation and use.
Traditional HVAC systems typically involve a combination of components such as air handlers, ductwork, vents, and thermostats to manage and distribute conditioned air throughout a building. While these systems are effective, they often face challenges related to the efficient and uniform distribution of air. Common issues include temperature inconsistencies such as cold spots or hot spots inside the buildings, uneven air flow, etc., which may result in discomfort for occupants and increased energy consumption.
Maintaining the comfort of an occupant in a building requires the HVAC system to be operated according to changing environmental conditions in the building. In typical systems, the occupants are required to make any desired changes to the environmental conditions themselves if they are not comfortable. Requiring occupants to make desired changes to the environmental conditions themselves may waste the occupants' time and energy. Further, maintaining occupant comfort may be expensive if not performed correctly.
In a few of the existing solutions, localized split units are used, but they suffer from similar issues, including the inability to achieve central control. Further, the existing solutions which are configured to improve air distribution are complex to install and adjust and may still struggle to achieve optimal air distribution across large or complex spaces. Further, there are existing systems which use sensors to gather and analyze environmental and energy data. The systems employ self-learning, distributed predictive control strategy to refine power management and comfort. However, the existing systems also fail to consider information in real-time and control the flow of discharged air accordingly. The existing systems may capture partial information and prediction of the output may be limited or inaccurate, which may affect optimization in energy consumption and comfort of the occupants present inside the buildings.
Thus, there is a need for a technical solution that overcomes the aforementioned problems of conventional control strategies.

SUMMARY
In view of the foregoing, a control system to control air discharge in a predefined area is disclosed. The control system is arranged to be communicatively coupled to one or more systems configured to discharge air into one or more predefined zones of the predefined area. The control system includes one or more sensing units configured to sense one or more parameters associated with the one or more predefined zones of the predefined area. The control system further includes processing circuitry coupled to the one or more sensing units. The processing circuitry is configured to generate one or more control inputs in response to the sensed one or more parameters. The processing circuitry is further configured to transmit the one or more control inputs to one or more components of at least one system of the one or more systems. The one or more control inputs, when executed, control the air discharge in the predefined area according to the sensed one or more parameters.
In some embodiments of the present disclosure, each sensing unit of the one or more sensing units comprises at least one of: one or more sensors and a scanner module communicatively coupled to the one or more sensors. The one or more sensors comprises a temperature sensor, air quality sensor, an imaging unit, and a humidity sensor. The one or more parameters comprise temperature, humidity, weather, time of day, presence of one or more occupants in the predefined area in real time, number of occupants in the predefined area, and manual input from at least one occupant. The manual input comprises one or more voice commands and one or more gesture commands, and an occupancy status in the predefined area in real time.
In some embodiments of the present disclosure, the scanner module is arranged to receive one or more inputs from at least one occupant by way of scanning of a scan code. The scan code comprising one of, a Quick Response (QR) code and a bar code. The scanner module is further arranged to initiate, in response to the one or more inputs, sensing of the one or more parameters in the predefined area through the one or more sensing units.
In some embodiments of the present disclosure, the scanner module is arranged to receive feedback data from at least one of: the one or more sensors and a scan code comprising a QR code or a bar code. The QR code or the bar code is coupled to a cloud service platform to receive, from at least one user, one or more inputs corresponding to required room conditions in the predefined area. The one or more inputs comprising at least one of temperature and humidity.
In some embodiments of the present disclosure, the feedback data comprises a weather pattern, a temperature value, presence of the one or more occupants in the predefined area, the one or more voice commands from the at least one occupant, the one or more gesture commands from the at least one occupant, and the time of day.
In some embodiments of the present disclosure, the processing circuitry is arranged to transmit the one or more control inputs to at least one manifold of the one or more components of the at least one system of the one or more systems arranged in at least one predefined zone in the predefined area. The one or more control inputs are executed by the at least one manifold in the at least one predefined zone to control the air discharge.
In some embodiments of the present disclosure, the processing circuitry is configured to predict one or more conditions, in response to feedback data, in the predefined area for a predefined interval of time. The one or more conditions are predicted by using Machine Learning (ML) model and one or more Artificial Intelligence (AI) techniques over the feedback data. The processing circuitry is further configured to generate the one or more control inputs in response to the predicted one or more conditions. The one or more conditions comprise weather pattern, a temperature value, presence of one or more persons in the predefined area, motions of occupants or users in the predefined area, presence of a particular occupant in the predefined area. The feedback data comprises one or more historical parameters, a gesture feedback from a user, a manual feedback from the user, and time of day. The gesture feedback comprises one of a clap gesture or hand wave gesture to switch on or switch off the at least one system of the one or more systems.
In some embodiments of the present disclosure, the control system further comprising an information processing apparatus coupled to the processing circuitry such that the information processing apparatus is configured to store historical data and third-party data. The processing circuitry is configured to generate the one or more control inputs based on the historical data and the third-party data.
In some aspects of the present disclosure, a method for controlling air discharge into one or more predefined zones of a predefined area is disclosed. The method includes a step of sensing, by one or more sensing units, one or more parameters associated with the one or more predefined zones in the predefined area. The method further includes a step of generating, through processing circuitry, one or more control inputs in response to the sensed one or more parameters. The method further includes a step of transmitting, through the processing circuitry, the one or more control inputs to one or more components of at least one system of the one or more systems arranged to discharge air into the one or more predefined zones. The one or more control inputs, when executed, control the air discharge in the predefined area according to the sensed one or more parameters.
In some embodiments of the present disclosure, the method further comprising a step of receiving, through a scanner module of each sensing unit of the one or more sensing units, one or more inputs from at least one occupant. The one or more inputs are received by way of scanning of a scan code. The scan code comprising one of, a Quick Response (QR) code and a bar code. The method further comprising a step of initiating, through the scanner module, sensing of, in response to the one or more inputs, the one or more parameters in the predefined area through the one or more sensing units. The method further comprising a step of receiving, through the scanner module, feedback data from at least one of: one or more sensors of each sensing unit of the one or more sensing units and the scan code coupled to a cloud service platform to receive, from at least one user, one or more inputs corresponding to required room conditions in the predefined area. The one or more inputs comprising at least one of temperature and humidity.
In some embodiments of the present disclosure, the feedback data comprises a weather pattern, a temperature value, the presence of one or more persons in the predefined area, the one or more voice commands from the at least one occupant, the one or more gesture commands from the at least one occupant, and the time of day.
In some embodiments of the present disclosure, the method further comprising a step of transmitting, the one or more control inputs to at least one manifold of the one or more components of the at least one system of the one or more systems arranged in at least one predefined zone in the predefined area. The one or more control inputs are executed by the at least one manifold in the at least one predefined zone to adjust the air discharge.
In some embodiments of the present disclosure, the method further comprising a step of predicting, through the processing circuitry, one or more conditions, in response to feedback data, in the predefined area for a predefined interval of time. The one or more conditions are predicted by using Machine Learning (ML) model and one or more Artificial Intelligence (AI) techniques over the feedback data. The processing circuitry is configured to generate the one or more control inputs in response to the predicted one or more conditions. The one or more conditions comprise weather pattern, a temperature value, presence of one or more persons in the predefined area, motions of occupants or users in the predefined area, presence of a particular occupant in the predefined area. The feedback data comprises one or more historical parameters, a gesture feedback from a user, a manual feedback from the user, and time of day, wherein the gesture feedback comprises one of a clap gesture or hand wave gesture to switch on or switch off the at least one system of the one or more systems.

BRIEF DESCRIPTION OF DRAWINGS
The above and still further features and advantages of aspects of the present disclosure becomes apparent upon consideration of the following detailed description of aspects thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
FIG. 1A illustrates a schematic view of a control system and one or more systems, in accordance with an embodiment of the present disclosure;
FIG. 1B illustrates a block diagram of the control system of FIG. 1A, in accordance with an embodiment of the present disclosure;
FIG. 2 illustrates a block diagram of the processing circuitry of the control system of FIG. 1B, in accordance with an embodiment of the present disclosure;
FIG. 3 illustrates a flowchart of a method for controlling the air discharge into one or more predefined zones of a predefined area, in accordance with an embodiment of the present disclosure; and
FIG. 4 illustrates an example computing environment implementing the control system of FIG. 1B for controlling the air discharge, in accordance with an embodiment of the present disclosure.
To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures.
DETAILED DESCRIPTION
Various aspects of the present disclosure provide a control system to control air discharge and a method thereof. The following description provides specific details of certain aspects of the disclosure illustrated in the drawings to provide a thorough understanding of those aspects. It should be recognized, however, that the present disclosure can be reflected in additional aspects and the disclosure may be practiced without some of the details in the following description. The various aspects including the example aspects are now described more fully with reference to the accompanying drawings, in which the various aspects of the disclosure are shown. The disclosure may, however, be embodied in different forms and should not be construed as limited to the aspects set forth herein. Rather, these aspects are provided so that this disclosure is thorough and complete, and fully conveys the scope of the disclosure to those skilled in the art. The subject matter of example aspects, as disclosed herein, is described with specificity to meet statutory requirements. However, the description itself is not intended to limit the scope of this disclosure. Rather, the inventor/inventors have contemplated that the claimed subject matter might also be embodied in other ways, to include different features or combinations of features similar to the ones described in this document, in conjunction with other technologies. Generally, the various aspects including the example aspects relate to an apparatus, aerial vehicle, and system for handling payload.
As mentioned there remains a need to provide an efficient control strategy that facilitates to control Heating Ventilation and Air Conditioning (HVAC) systems. Accordingly, the present disclosure provides a control system to control air discharge in a predefined space and a method thereof. The control system of the present disclosure is designed to efficiently control the HVAC systems based on inputs provided by various occupants that are present in the predefined space. The control system of the present disclosure is further designed to efficiently control the HVAC systems based on environmental parameters associated with the predefined space that facilitates to provide a user-friendly environment for the occupants.
FIG. 1A illustrates a schematic view of a control system 100 and one or more systems 102a-102n, in accordance with an embodiment of the present disclosure. The control system 100 may be coupled to the one or more systems 102a-102n (hereinafter collectively referred to and designated as “the systems 102”). Each system of the one or more systems 102 may be a Heating Ventilation and Air Conditioning (HVAC) system. The control system 100 may be adapted to control each system of the one or more systems 102. Specifically, the control system 100 may be adapted to control one or more functions/operations of each system of the systems 102 that may facilitate to control air discharge into one or more predefined zones of a predefined area.
In some embodiments of the present disclosure, the control system 100 may be deployed within each system of the one or more systems 102. In such a scenario, the control system 100 may be an inherent or integral part of each system of the one or more systems 102.
FIG. 1B illustrates a block diagram of the control system 100 of FIG. 1A, in accordance with an embodiment of the present disclosure. The control system 100 may be configured to control air discharge in a predefined area. The control system 100 may be arranged to communicatively couple to the one or more systems 102a-102n (hereinafter collectively referred to and designated as “the systems 102”). Specifically, the control system 100 may be communicatively coupled to the one or more systems 102 through a communication bus 104. The communication bus 104 may be a wireless communication bus or a wired communication bus. The wireless communication bus may be enabled by way of a Bluetooth Low Energy (BLE) technology that may facilitate wireless communication between the control system 100 and the one or more systems 102. Embodiments of the present disclosure are intended to include and/or otherwise cover any type of the communication bus 104 that may facilitate communication between the control system 100 and the one or more systems 102. Each system of the one or more systems 102 may be air discharging units that may be configured to discharge air into one or more predefined zones of the predefined area. Preferably, each system of the one or more systems 102 may be a Heating Ventilation and Air Conditioning (HVAC) system.
The control system 100 may comprise one or more sensing units 106a-106n (hereinafter collectively referred to and designated as “the sensing units 106”), processing circuitry 108, and an information processing apparatus 109. The sensing units 106, the processing circuitry 108, and the information processing apparatus 109 may be communicatively coupled to each other. Specifically, the sensing unit 106, the processing circuitry 108, and the information processing apparatus 109 may be communicatively coupled to each other by way of a first communication channel 110. The first communication channel 110 may be a wired communication channel or a wireless communication channel. The wireless communication channel may be enabled by way of a Bluetooth Low Energy (BLE) technology that may facilitate wireless communication of information associated to the control system 100 between the sensing units 106, the processing circuitry 108, and the information processing apparatus 109. Embodiments of the present disclosure are intended to include and/or otherwise cover any type of the communication channel that may facilitate communication between the sensing units 106, the processing circuitry 108, and the information processing apparatus without deviating from the scope of the present disclosure.
The one or more sensing units 106 may be configured to sense one or more parameters associated with the one or more predefined zones of the predefined area. The one or more parameters may include temperature, humidity, weather, time of day, presence of one or more occupants in the predefined area in real time, number of occupants in the predefined area, and manual input from at least one occupant of the one or more occupants. In some embodiments of the present disclosure, the manual input may be provided by way of a user device from the at least one occupant of the one or more occupants. In some other embodiments of the present disclosure, the manual input may be provided by way of the user device from at least one user of the user device. The manual input may include one or more voice commands, one or more gesture commands, and an occupancy status in the predefined area in real time. The one or more gesture commands may include one of, a clap gesture and a hand wave gesture that may facilitate to one of, switch on and switch off the at least one system of the one or more systems 102. The user device may include one of, a Personal Digital Assistant (PDA) device, a tablet, a Personal Computer (PC), a laptop, and the like. Embodiments of the present disclosure are intended to include and/or otherwise cover any type of the user device, without deviating from the scope of the present disclosure.
Specifically, each sensing unit of the one or more sensing units 106 may include one or more sensors 112a-112n (hereinafter collectively referred to and designated as “the sensors 112”) and a scanner module 114. The scanner module 114 may be communicatively coupled to the sensors 112. The sensors 112 may include a temperature sensor, an air quality sensor, an imaging unit, and a humidity sensor. Embodiments of the present disclosure are intended to include and/or otherwise cover any type of the sensor, without deviating from the scope of the present disclosure. The temperature sensor may be configured to sense signals associated with temperature of the one or more predefined zones of the predefined area. In some embodiments of the present disclosure, the temperature sensor may be configured to sense signals associated with temperature variation in the one or more predefined zones of the predefined area. In some embodiments of the present disclosure, the temperature sensor (thermal camera) may be configured to sense signals associated with the presence of the one or more occupants in the predefined area and sense the temperature in the one or more predefined zones in real time by sensing the temperature variation in the one or more predefined zones. The air quality sensor may be configured to sense signals associated with quality of air in the one or more predefined zones of the predefined area. In some embodiments of the present disclosure, the quality of air may be determined based on the amount of Volatile Organic Compounds (VOCs) that may be present in the air. The air quality sensor may be configured to sense signals associated with the VOCs that may be present in the air in the one or more predefined zones of the predefined area. The imaging unit may be configured to capture a plurality of images of the one or more predefined zones of the predefined area. The plurality of images may represent the presence of the one or more occupants in the predefined area in real time, the number of occupants in the predefined area, and the like. Embodiments of the present disclosure are intended to include and/or otherwise cover any other type of data that may be represented by way of the imaging unit, without deviating from the scope of the present disclosure. The humidity sensor may be configured to sense signals associated with humidity that may be present in the air in the one or more predefined zones of the predefined area.
The scanner module 114 may be configured to receive one or more inputs from at least one occupant. Specifically, the scanner module 114 may be configured to facilitate scanning of a scan code to receive the one or more inputs from the at least one occupant. In other words, the at least one occupant may scan the scan code through the scanner module 114 to receive the one or more inputs from the at least one occupant. The scanner module 114 may be further configured to initiate sensing of the one or more parameters in the predefined area through the one or more sensing units 106. Specifically, the scanner module 114 may be configured to initiate, in response to the one or more inputs, sensing of the one or more parameters in the predefined area through the one or more sensing units 106. The scanner module 114 may be further configured to receive feedback data from the at least one of, the one or more sensors 112 and the scan code. The scan code may include a Quick-Response (QR) code or a bar code that may be coupled to a cloud service platform to receive, from the at least one user, one or more inputs corresponding to required room conditions in the predefined area. The one or more inputs may include at least one of, temperature and humidity. The feedback data may include a weather pattern, a temperature value, the presence of the one or more occupants in the predefined area, the one or more voice commands from the at least one occupant, the one or more gesture commands from the at least one occupant, and the time of day.
In some embodiments of the present disclosure, at least one zone of the one or more predefined zones may be equipped with the scan code. In other words, the scan code may be provided in the at least one zone of the one or more predefined zones. In some examples of the present disclosure, the scan code may be pasted at a suitable location (e.g. a wall) of the at least one zone of the one or more predefined zones. In some other examples of the present disclosure, the scan code may be digitally displayed or shown in the at least one zone of the one or more predefined zones.
The processing circuitry 108 may be communicatively coupled to the sensing units 106. Specifically, the processing circuitry 108 may be communicatively coupled to the sensing units 106 by way of the first communication channel 110. An appropriate circuitry of the processing circuitry 108 may be configured to execute one or more functionalities of the control system 100. For example, the processing circuitry 108 may be configured to generate one or more control inputs in response to the sensed one or more parameters. The processing circuitry 108 may be further configured to transmit the one or more control inputs to the one or more components of at least one system of the one or more systems 102. The one or more control inputs, when executed, may facilitate to control the air discharge in the predefined area according to the sensed one or more parameters. Preferably, the processing circuitry 108 may be configured to transmit the one or more control inputs to at least one manifold of the one or more components of the at least one system of the one or more systems 102 that may be arranged in at least one predefined zone in the predefined area. The one or more control inputs may be executed by the at least one manifold to control the air discharge in the at least one predefined zone. To control the air discharge in the at least one predefined zone, the at least one manifold may be actuated in response to the one or more control inputs. In other words, the one or more control inputs may facilitate actuation of the at least one manifold. The actuation of the at least one manifold may facilitate to change one of, a direction of air discharge in the one or more predefined zones, opening of the at least one manifold, flow rate of the air discharge in the one or more predefined zones, and the like.
In some exemplary embodiments of the present disclosure, the control system 100 may be configured to control three systems of the one or more systems 102. Specifically, the control system 100 may be configured to control at least one manifold of each system of the three systems. The control system 100 may be configured to generate the one or more control inputs that may facilitate to control the at least one manifold of each system of the three systems. The control system 100 may be configured to transmit the one or more control inputs to the at least one manifold of each system of the three systems. The one or more control inputs may be executed by the at least one manifold of each system of the three systems. The at least one manifold of each system of the three systems, upon execution of the one or more control inputs, control the air discharge in the respective predefined zone of the one or more predefined zones. To control the air discharge in the respective predefined zone, the at least one manifold of corresponding system of the three systems may be actuated in response to the one or more control inputs. In some embodiments of the present disclosure, the three systems of the one or more systems 102 may have a single manifold or duct. In such a scenario, the control system 100 may be configured to control the single manifold or the duct in response to the one or more control inputs. Although, the present example is related to controlling the three systems of the one or more systems 102, however it will be apparent to a person skilled in the art that the scope of the present disclosure is not limited to it. In various other embodiments of the present disclosure, the control system 100 may be configured to control any number of systems of the one or more systems 102 without deviating from the scope of the present disclosure. In such a scenario, the control system 100 may control each system of the one or more systems 102 in a manner similar to controlling the three systems of the one or more systems 102.
The processing circuitry 108 may be configured to predict one or more conditions, in response to the feedback data, in the predefined area for a predefined interval of time. Specifically, the processing circuitry 108 may be configured to predict the one or more conditions by using Machine Learning (ML) model and one or more Artificial Intelligence (AI) techniques over the feedback data. The processing circuitry 108 may be further configured to generate the one or more control inputs in response to the predicted one or more conditions. The one or more conditions may include weather pattern, a temperature value, presence of one or more persons in the predefined area, motions of occupants or users in the predefined area, presence of a particular occupant in the predefined area. The feedback data may include one or more historical parameters, a gesture feedback from the at least one user, a manual feedback from the at least one user, and time of day. The gesture feedback may include one of, a clap gesture or a hand wave gesture to switch on or switch off the at least one system of the one or more systems 102.
In some embodiments of the present disclosure, the processing circuitry 108 may be configured to use the ML model that may be one of, a linear regression model, a random forest model, or an XG boost model. Embodiments of the present disclosure are intended to include and/or otherwise cover any type of the ML model that may be used by the processing circuitry 108, without deviating from the scope of the present disclosure.
The information processing apparatus 109 may be communicatively coupled to the processing circuitry 108. Specifically, the information processing apparatus 109 may be communicatively coupled to the processing circuitry 108 by way of the first communication channel 110. The information processing apparatus 109 may include a database 116. The database 116 may be configured to store one of, historical data and third-party data. The third-party data may be received from one or more third-party vendors. Specifically, the database 116 may include a plurality of repositories. Each repository of the plurality of repositories may be a storage space or configuration that may be defined within the database 116 such that the storage space or configuration may be configured to store any kind of data, preferably, digital data. The plurality of repositories may include a historical repository 116a and a third-party repository 116b. The historical repository 116a may be configured to store the historical data and the third-party repository 116b may be configured to store the third-party data. The processing circuitry 108 may be further configured to generate the one or more control inputs based on the historical data and the third-party data. The historical data may be data that may be obtained over a predetermined period of time. The historical data may include data associated with the sensed one or more parameters, the one or more control inputs, the feedback data, the actuation of the at least one manifold, controlling of the air discharge in the predefined area that may be obtained over the predetermined period of time. The third-party data may include data that may be obtained from one or more third-party vendors. The one or more third-party vendors may include weather forecasting facilities and the like. Embodiments of the present disclosure are intended to include and/or otherwise cover any type of third-party vendor from which the third-party data may be received, without deviating from the scope of the present disclosure.
In some embodiments of the present disclosure, to train the ML model, the processing circuitry 108 may require the feedback data and the historical data. In other words, the feedback data and the historical data may be fed to train the ML model that may be employed by the processing circuitry 108 to predict the one or more conditions.
FIG. 2 illustrates a block diagram of the processing circuitry 108 of the control system 100 of FIG. 1B, in accordance with an embodiment of the present disclosure. The processing circuitry 108 may include a plurality of engines that may be configured to facilitate execution of one or more functionalities of the processing circuitry 108. Each engine of the plurality of engines may be a set of instructions that, upon execution, may facilitate to execute one or more functionalities of the processing circuitry 108.
The processing circuitry 108 may include a data exchange engine 202, a control input generation engine 204, a transmission engine 206, a condition prediction engine 208, and a second communication channel 210. The data exchange engine 202, the control input generation engine 204, the transmission engine 206, and the condition prediction engine 208 may be communicatively coupled with each other. Specifically, the data exchange engine 202, the control input generation engine 204, the transmission engine 206, and the condition prediction engine 208 may be communicatively coupled to each other by way of the second communication channel 210.
The second communication channel 210 may facilitate exchange or transfer of information associated with the control system 100 and the processing circuitry 108 among the plurality of engines. For example, the second communication channel 210 may facilitate exchange or transfer of the information among the data exchange engine 202, the control input generation engine 204, the transmission engine 206, and the condition prediction engine 208. The second communication channel 210 may be a wired communication channel or a wireless communication channel. The wireless communication channel may be enabled by way of a Bluetooth Low Energy (BLE) technology that may facilitate wireless communication of the information associated with the processing circuitry 108 between the plurality of engines. Embodiments of the present disclosure are intended to include and/or otherwise cover any type of the communication channel that may facilitate communication between the data exchange engine 202, the control input generation engine 204, the transmission engine 206, and the condition prediction engine 208.
The data exchange engine 202 may be configured to facilitate the processing circuitry 108 to exchange information/data associated with the control system 100. Specifically, the data exchange engine 202 may be configured to facilitate the processing circuitry 108 to exchange the information/data associated with the control system 100 among various engines of the processing circuitry 108 through the second communication channel 210.
The control input generation engine 204 may be configured to facilitate the processing circuitry 108 to generate the one or more control inputs. Specifically, the control input generation engine 204 may be configured to facilitate the processing circuitry 108 to generate the one or more control inputs in response to the sensed one or more parameters. The control input generation engine 204 may be further configured to facilitate the processing circuitry 108 to generate the one or more control inputs based on the historical data and the third-party data.
The transmission engine 206 may be configured to facilitate the processing circuitry 108 to transmit the one or more control inputs. Specifically, the transmission engine 206 may be configured to facilitate the processing circuitry 108 to transmit the one or more control inputs to the one or more components of the at least one system of the one or more systems 102. The one or more control inputs, when executed, may facilitate to control the air discharge in the predefined area according to the sensed one or more parameters. Preferably, the transmission engine 206 may be configured to facilitate the processing circuitry 108 to transmit the one or more control inputs to at least one manifold of the one or more components of the at least one system of the one or more systems 102 that may be arranged in the at least one predefined zone in the predefined area. The one or more control inputs may be executed by the at least one manifold to control the air discharge in the at least one predefined zone.
The condition prediction engine 208 may be configured to facilitate the processing circuitry 108 to predict the one or more conditions. Specifically, the condition prediction engine 208 may be configured to facilitate the processing circuitry 108 to predict the one or more conditions in the predefined area for the predefined interval of time. The condition prediction engine 208 may be configured to facilitate the processing circuitry 108 to predict the one or more conditions in response to the feedback data. The condition prediction engine 208 may be further configured to facilitate the processing circuitry 108 to employ the ML model and the one or more AI techniques over the feedback data to predict the one or more conditions. Once the one or more conditions are predicted, the control input generation engine 204 may be further configured to facilitate the processing circuitry 108 to generate the one or more control inputs in response to the predicted one or more conditions.
FIG. 3 illustrates a flowchart of a method 300 for controlling the air discharge into the one or more predefined zones of the predefined area, in accordance with an embodiment of the present disclosure. The method 300 may include following steps for controlling the air discharge into the one or more predefined zones of the predefined area.
At step 302, the control system 100 may be configured to sense the one or more parameters associated with the one or more predefined zones in the predefined area. Specifically, the control system 100, by way of the one or more sensing units 106a-106n, may be configured to sense the one or more parameters associated with the one or more predefined zones in the predefined area.
At step 304, the control system 100 may be configured to generate the one or more control inputs in response to the sense one or more parameters. Specifically, the control system 100, by way of the processing circuitry 108, may be configured to generate the one or more control inputs in response to the sensed one or more parameters.
At step 306, the control system 100 may be configured to transmit the one or more control inputs to the one or more components of at least one system of the one or more systems 102 that may be arranged to discharge the air into the one or more predefined zones. Specifically, the control system 100, by way of the processing circuitry 108, may be configured to transmit the one or more control input to the one or more components of the at least one system of the one or more systems 102 that may be arranged to discharge the air in the one or more predefined zones. The one or more control inputs when executed, may facilitate to control the air discharge in the predefined area according to the sensed one or more parameters. In some preferred embodiments of the present disclosure, the control system 100 may be configured to transmit the one or more control inputs to the at least one manifold of the one or more components of the at least one system of the one or more systems 102. Specifically, the control system 100 may be configured to transmit the one or more control inputs to the at least one manifold of the one or more components of the at least one system of the one or more systems 102 that may be arranged in the at least one predefined zone in the predefined area. The one or more control inputs may be executed by the at least one manifold in the at least one predefined zone to adjust the air discharge therein.
At step 308, the control system 100 may be configured to receive the one or more inputs from the at least one occupant. Specifically, the control system 100, by way of the scanner module 114 of each sensing unit of the one or more sensing units 106, may be configured to receive the one or more inputs from the at least one occupant. Specifically, the one or more inputs may be received by way of scanning of the scan code. The scan code may include one of, a Quick Response (QR) code and a bar code.
At step 310, the control system 100 may be configured to initiate sensing of the one or more parameters in the predefined area through the one or more sensing units 106. Specifically, the control system 100, by way of the scanner module 114, may be configured to initiate sensing, in response to the one or more inputs, the one or more parameters in the predefined area through the one or more sensing units 106.
At step 312, the control system 100 may be configured to receive the feedback data from the at least one of: the one or more sensors 112 of each sensing unit of the one or more sensing units 106 and the scan code. Specifically, the control system 100, by way of the scanner module 114, may be configured to receive the feedback data from the at least one of: the one or more sensors 112 of each sensing unit of the one or more sensing units 106 and the scan code. The scan code may be coupled to the cloud service platform to receive the one or more inputs from the at least one user such that the one or more inputs corresponds to required room conditions in the predefined area. In some preferred embodiments of the present disclosure, the one or more inputs may include at least one of, the temperature and the humidity. Embodiments of the present disclosure are intended to include and/or otherwise cover any type of the one or more inputs, without deviating from the scope of the present disclosure.
In some embodiments of the present disclosure, the feedback data may include a weather pattern, a temperature value, the presence of one or more persons in the predefined area, the one or more voice commands from the at least one occupant, the one or more gesture commands from the at least one occupant, and the time of day. Embodiments of the present disclosure are intended to include and/or otherwise cover any type of data as the feedback data, without deviating from the scope of the present disclosure. The one or more gesture commands may include one of, the clap gesture or the hand wave gesture that may facilitate to one of, switch on or switch off the at least one system of the one or more systems 102. Embodiments of the present disclosure are intended to include and/or otherwise cover any type of gesture commands, without deviating from the scope of the present disclosure.
At step 314, the control system 100 may be configured to predict the one or more conditions in the predefined area for the predefined interval of time. Specifically, the control system 100, by way of the processing circuitry 108, may be configured to predict the one or more conditions in the predefined area for the predefined interval of time. The processing circuitry 108 may be configured to predict the one or more conditions in response to the feedback data. The processing circuitry 108 may be configured to predict the one or more conditions by using the Machine Learning (ML) model and the one or more Artificial Intelligence (AI) techniques over the feedback data. The processing circuitry 108 may be configured to generate the one or more control inputs in response to the predicted one or more conditions. In some embodiments of the present disclosure, the one or more conditions may include weather pattern, a temperature value, presence of one or more persons in the predefined area, motions of occupants or users in the predefined area, and presence of a particular occupant in the predefined area. Embodiments of the present disclosure are intended to include and/or otherwise cover any type of the one or more conditions, without deviating from the scope of the present disclosure. In some embodiments of the present disclosure, the feedback data may include the one or more historical parameters, the gesture feedback from the user, the manual feedback from the user, and time of day. The gesture feedback may include one of, the clap gesture or the hand wave gesture that may facilitate to switch on or switch off the at least one system of the one or more systems 102.
FIG. 4 illustrates an example computing environment 400 implementing the control system 100, as shown in FIG. 1B for controlling air discharge in the predefined area. As depicted in FIG. 4, the computing environment 400 comprises at least one data processing unit 406 that is equipped with a control module 402 and an Arithmetic Logic Unit, ALU 404, a plurality of networking devices 408 and a plurality Input output, I/O devices 410, a memory 412, a storage 414. The data processing module 406 may be responsible for implementing the control system 100, as shown in FIG. 1B. For example, the data processing unit 406 in some embodiments be equivalent to the processing circuitry 108 of the control system 100 described above in conjunction with FIG. 1B. The data processing unit 406 is capable of executing software instructions stored in memory 412. The data processing unit 406 receives commands from the control module 402 in order to perform its processing. Further, any logical and arithmetic operations involved in the execution of the instructions are computed with the help of the ALU 404.
The computer program is loadable into the data processing unit 406, which may, for example, be comprised in the control system 100 of FIG. 1B. When loaded into the data processing unit 406, the computer program may be stored in the memory 412 associated with or comprised in the data processing unit 406. According to some embodiments, the computer program may, when loaded into and run by the data processing module 406, cause execution of method steps according to, for example, any of the methods illustrated in FIG. 3, or otherwise described herein.
The overall computing environment 400 may be composed of multiple homogeneous and/or heterogeneous cores, multiple CPUs of different kinds, special media and other accelerators. Further, the plurality of data processing unit 406 may be located on a single chip or over multiple chips.
The algorithm comprises instructions and codes required for the implementation are stored in either the memory 412 or the storage 414 or both. At the time of execution, the instructions may be fetched from the corresponding memory 412 and/or storage 414, and executed by the data processing unit 406.
In case of any hardware implementations various networking devices 408 or external I/O devices 410 may be connected to the computing environment to support the implementation through the networking devices 408 and the I/O devices 410.
The embodiments disclosed herein can be implemented through at least one software program running on at least one hardware device and performing network management functions to control the elements. The elements shown in FIG. 4 include blocks which can be at least one of a hardware device, or a combination of hardware device and software module.
The embodiments disclosed herein can be implemented through at least one software program running on at least one hardware device and performing network management functions to control the elements. The elements shown in FIG. 4 include blocks which can be at least one of a hardware device, or a combination of hardware device and software module.
The foregoing discussion of the present disclosure has been presented for purposes of illustration and description. It is not intended to limit the present disclosure to the form or forms disclosed herein. In the foregoing Detailed Description, for example, various features of the present disclosure are grouped together in one or more aspects, configurations, or aspects for the purpose of streamlining the disclosure. The features of the aspects, configurations, or aspects may be combined in alternate aspects, configurations, or aspects other than those discussed above. This method of disclosure is not to be interpreted as reflecting an intention the present disclosure requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed aspect, configuration, or aspect. Thus, the following claims are hereby incorporated into this Detailed Description, with each claim standing on its own as a separate aspect of the present disclosure.
,CLAIMS:1. A control system (100) to control air discharge in a predefined area, the control system (100) is arranged to be communicatively coupled to one or more systems (102a-102n) configured to discharge air into one or more predefined zones of the predefined area, the control system (100) comprising:
one or more sensing units (106a-106n) configured to sense one or more parameters associated with the one or more predefined zones of the predefined area;
processing circuitry (108) coupled to the one or more sensing units (106a-106n), and is configured to:
generate one or more control inputs in response to the sensed one or more parameters; and
transmit the one or more control inputs to one or more components of at least one system of the one or more systems (102a-102n), wherein the one or more control inputs, when executed, control the air discharge in the predefined area according to the sensed one or more parameters.

2. The control system (100) as claimed in claim 1, wherein each sensing unit of the one or more sensing units (106a-106n) comprises at least one of:
one or more sensors (112a-112n) and a scanner module (114) communicatively coupled to the one or more sensors (112a-112n);
wherein the one or more sensors (112a-112n) comprises a temperature sensor, air quality sensor, an imaging unit, and a humidity sensor; and
wherein the one or more parameters comprises temperature, humidity, weather, time of day, presence of one or more occupants in the predefined area in real time, number of occupants in the predefined area, and manual input from at least one occupant, wherein the manual input comprises one or more voice commands and one or more gesture commands, and an occupancy status in the predefined area in real time.

3. The control system (100) as claimed in claim 2, wherein the scanner module (114) is arranged to:
receive one or more inputs from at least one occupant by way of scanning of a scan code, wherein the scan code comprising one of, a Quick Response (QR) code and a bar code; and
initiate, in response to the one or more inputs, sensing of the one or more parameters in the predefined area through the one or more sensing units (106a-106n).

4. The control system (100) as claimed in claim 2, wherein the scanner module (114) is arranged to receive feedback data from at least one of: the one or more sensors (112a-112n) and a scan code comprising a QR code or a bar code coupled to a cloud service platform to receive, from at least one user, one or more inputs corresponding to required room conditions in the predefined area, wherein the one or more inputs comprising at least one of temperature and humidity.

5. The control system (100) as claimed in claim 4, wherein the feedback data comprises a weather pattern, a temperature value, presence of the one or more occupants in the predefined area, the one or more voice commands from the at least one occupant, the one or more gesture commands from the at least one occupant, and the time of day.

6. The control system (100) as claimed in claim 1, wherein the processing circuitry (108) is arranged to:
transmit the one or more control inputs to at least one manifold of the one or more components of the at least one system of the one or more systems (102a-102n) arranged in at least one predefined zone in the predefined area, wherein the one or more control inputs are executed by the at least one manifold in the at least one predefined zone to control the air discharge.

7. The control system (100) as claimed in claim 1, wherein the processing circuitry (108) is configured to:
predict one or more conditions, in response to feedback data, in the predefined area for a predefined interval of time, wherein the one or more conditions are predicted by using Machine Learning (ML) model and one or more Artificial Intelligence (AI) techniques over the feedback data;
generate the one or more control inputs in response to the predicted one or more conditions;
wherein the one or more conditions comprise weather pattern, a temperature value, presence of one or more persons in the predefined area, motions of occupants or users in the predefined area, presence of a particular occupant in the predefined area, wherein the feedback data comprises one or more historical parameters, a gesture feedback from a user, a manual feedback from the user, and time of day.

8. The control system (100) as claimed in claim 1, comprising an information processing apparatus (109) coupled to the processing circuitry (108) such that the information processing apparatus (109) is configured to store historical data and third-party data, wherein the processing circuitry (108) is configured to generate the one or more control inputs based on the historical data and the third-party data.

9. A method (300) for controlling air discharge into one or more predefined zones of a predefined area, the method (300) comprising:
sensing (302), by one or more sensing units (106a-106n), one or more parameters associated with the one or more predefined zones in the predefined area;
generating (304), through processing circuitry (108), one or more control inputs in response to the sensed one or more parameters; and
transmitting (306), through the processing circuitry (108), the one or more control inputs to one or more components of at least one system of the one or more systems (102a-102n) arranged to discharge air into the one or more predefined zones, wherein the one or more control inputs, when executed, control the air discharge in the predefined area according to the sensed one or more parameters.

10. The method (300) as claimed in claim 9, comprising:
receiving (308), through a scanner module (114) of each sensing unit of the one or more sensing units (106a-106n), one or more inputs from at least one occupant, wherein the one or more inputs are received by way of scanning of a scan code, wherein the scan code comprising one of, a Quick Response (QR) code and a bar code;
initiating (310), through the scanner module (114), sensing of, in response to the one or more inputs, the one or more parameters in the predefined area through the one or more sensing units (106a-106n); and
receiving (312), through the scanner module (114), feedback data from at least one of: one or more sensors (112a-112n) of each sensing unit of the one or more sensing units (106a-106n) and the scan code coupled to a cloud service platform to receive, from at least one user, one or more inputs corresponding to required room conditions in the predefined area, wherein the one or more inputs comprising at least one of temperature and humidity.

11. The method (300) as claimed in claim 10, wherein the feedback data comprises a weather pattern, a temperature value, the presence of one or more persons in the predefined area, the one or more voice commands from the at least one occupant, the one or more gesture commands from the at least one occupant, and the time of day.

12. The method (300) as claimed in claim 9, comprising:
transmitting, the one or more control inputs to at least one manifold of the one or more components of the at least one system of the one or more systems (102a-102n) arranged in at least one predefined zone in the predefined area, wherein the one or more control inputs are executed by the at least one manifold in the at least one predefined zone to adjust the air discharge.

13. The method (300) as claimed in claim 9, further comprising:
predicting (314), through the processing circuitry (108), one or more conditions, in response to feedback data, in the predefined area for a predefined interval of time, wherein the one or more conditions are predicted by using Machine Learning (ML) model and one or more Artificial Intelligence (AI) techniques over the feedback data, wherein the processing circuitry (108) is configured to generate the one or more control inputs in response to the predicted one or more conditions;
wherein the one or more conditions comprise weather pattern, a temperature value, presence of one or more persons in the predefined area, motions of occupants or users in the predefined area, presence of a particular occupant in the predefined area,
wherein the feedback data comprises one or more historical parameters, a gesture feedback from a user, a manual feedback from the user, and time of day.