Claims:
WE CLAIM:
1. A system (100) for monitoring and analysis of a sewerage comprising:
a monitoring subsystem (110) coupled to the sewerage (115), wherein the monitoring subsystem (110) comprises:
a plurality of sensing means (120) configured to detect one or more parameters corresponding to the sewerage (115) by locating a manhole;
a processing subsystem (130) hosted on a server, wherein the processing subsystem (130) comprises:
an analysis subsystem (140) operatively coupled to the monitoring subsystem (110) and configured to analyse one or more sensed parameters by processing historical data using one or more data analysis techniques;
a prediction subsystem (150) operatively coupled to the analysis subsystem (140) and configured to predict a status of the sewerage (115) based on an analysed result by using one or more prediction techniques;
a notification subsystem (160) operatively coupled to the processing subsystem (130) and configured to notify a user about a real-time status of the sewerage (115).
2. The system (100) as claimed in claim 1, wherein the plurality of sensing means (120) comprises a lidar sensor, an ultrasonic sensor, a positioning system, an accelerometer, a motion sensor, a proximity sensor, a temperature sensor, a gas detection sensor or a humidity sensor.
3. The system (100) as claimed in claim 1, wherein the one or more parameters comprises an unauthorised access to the sewerage through the manhole, a connection of one or more pipes with the sewerage, open and close status of a manhole cover, one or more gases present within the sewerage, water-level of the sewerage, earth level of the sewerage in meters above sea-level (MSL)clogs in the sewerage, turbidity, flow rate, temperature and humidity.
4. The system (100) as claimed in claim 1, wherein the one or more prediction techniques comprises at least one of a linear regression technique, a logistic regression technique, a neural network technique, a support vector machine technique, a k-nearest neighbour technique, a decision tree technique, a random forest technique, and a gradient boosting technique.
5. The system (100) as claimed in claim 1, wherein the notification subsystem (160) is also configured to notify about maintenance requirement for the sewerage (115) based on the real-time status when deposition of the clog within the sewerage (115), the unauthorised connection of the one or more pipes or tampering of the sewerage (115) through the manhole by an external source are detected.
6. The system (100) as claimed in claim 1, wherein the notification subsystem further comprises an interactive dashboard configured to display the predicted status and the real-time status corresponding to the sewerage such as position and location of the manhole, water-level inside the sewerage, clogs within the sewerage or turbidity of the sewerage.
7. The system (100) as claimed in claim 1, further comprises a deployment subsystem configured to deploy a robot to clean the clogs within the sewerage (115) for maintenance based on the real-time status of the sewerage (115).
8. The system (100) as claimed in claim 1, wherein the plurality of sensing means (120) further comprises an image capturing device configured to visualize an internal conduit of the sewerage by capturing an image or a video in real-time.
9. The system (100) as claimed in claim 7, wherein the image capturing device comprises an optical device, a camera, a camcorder, a night vision camera, a thermal camera or an infrared camera.
10. A method (200) for monitoring and analysing a sewerage comprises:
detecting, by a plurality of sensing means of the monitoring subsystem, one or more parameters corresponding to the sewerage by locating a manhole (210);
analysing, by an analysis subsystem, one or more sensed parameters corresponding to the sewerage by processing historical data using one or more data analysis techniques (220);
predicting, by a prediction subsystem, a status of the sewerage based on an analysed result by using one or more prediction techniques (230); and
notifying, by a notification subsystem, a user about a real-time status of the sewerage (240).
11. The method (200) as claimed in claim 9, further comprising deploying, by a deployment subsystem, a robot for maintenance of the sewerage by cleaning clogs within the sewerage.
, Description:BACKGROUND
[0001] Embodiments of a present disclosure relates to a monitoring system of underground structures and more particularly to a system and a method for monitoring and analysis of a sewerage.
[0002] Municipalities have a sanitary sewer system to collect and transport waste matter or sewage from one or more drains, disposals and other sources within a community to a sewage treatment plant. Ideally, the waste matter or the sewage is transported through the sanitary sewer system without any spillage or leakage. An access to the sewer system from ground’s surface is provided through a manhole, which further extends down to sewer pipes. The manhole is essential for an ongoing inspection, maintenance, and renovation of the sewer system. The manhole is protected by a manhole cover to prevent an accidental or an unauthorised access to the manhole. The inspection of the manhole is required for obtaining valuable information about damage or repair of the sewer system for maintenance. Various systems are available which are used for monitoring condition of the sewerage through the manhole in order to have the sanitary sewer system in the community.
[0003] Conventionally, the system for monitoring the sewerage includes locating the manhole by using a global positioning system (GPS) and detecting condition of the sewerage such as shape and size of the manhole, damage within or outside the manhole, or condition of lateral pipe connections within the manhole. However, the system is incapable of predicting a real-time status of the sewerage by identifying one or more materials and quantity of the one or more materials present within the sewerage. Also, such system is inefficient in detecting any tampering of the manhole cover by an access of the user. Moreover, such system requires manual intervention for one or more maintenance services of the sewerage.
[0004] Hence, there is a need for an improved system and a method for monitoring and analysis of the sewerage to address the aforementioned issues.
BRIEF DESCRIPTION
[0005] In accordance with an embodiment of the present disclosure, a system for monitoring and analysis of a sewerage is disclosed. The system includes a monitoring subsystem coupled to the sewerage. The monitoring subsystem includes a plurality of sensing means configured to detect one or more parameters corresponding to the sewerage by locating a manhole. The system also includes a processing subsystem hosted on a server. The processing subsystem includes an analysis subsystem operatively coupled to the monitoring subsystem and configured to analyse one or more sensed parameters by processing historical data using one or more data analysis techniques. The processing subsystem also includes a prediction subsystem operatively coupled to the analysis subsystem and configured to predict a status of the sewerage based on an analysed result by using one or more prediction techniques. The system also includes a notification subsystem operatively coupled to the processing subsystem and configured to notify a user about a real-time status of the sewerage.
[0006] In accordance with another embodiment of the present disclosure, a method for monitoring and analysing a sewerage is disclosed. The method includes detecting, by a plurality of sensing means of the monitoring subsystem, one or more parameters corresponding to the sewerage by locating a manhole. The method also includes analysing, by an analysis subsystem, one or more sensed parameters corresponding to the sewerage by processing historical data using one or more data analysis techniques. The method also includes predicting, by a prediction subsystem, a status of the sewerage based on an analysed result by using one or more prediction techniques. The method also includes notifying, by a notification subsystem, a user about a real-time status of the sewerage.
[0007] To further clarify the advantages and features of the present disclosure, a more particular description of the disclosure will follow by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the disclosure and are therefore not to be considered limiting in scope. The disclosure will be described and explained with additional specificity and detail with the appended figures.
BRIEF DESCRIPTION OF THE DRAWINGS
The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:
[0008] FIG. 1 is a block diagram of a system for monitoring and analysing a sewerage in accordance with an embodiment of the present disclosure;
[0009] FIG. 2 is a flow chart representing the steps involved in a method for monitoring and analysing a sewerage in accordance with the embodiment of the present disclosure.
[0010] Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.
DETAILED DESCRIPTION
[0011] For the purpose of promoting an understanding of the principles of the disclosure, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Such alterations and further modifications in the illustrated system, and such further applications of the principles of the disclosure as would normally occur to those skilled in the art are to be construed as being within the scope of the present disclosure.
[0012] The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more devices or sub-systems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other devices, sub-systems, elements, structures, components, additional devices, additional sub-systems, additional elements, additional structures or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.
[0013] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. The system, methods, and examples provided herein are only illustrative and not intended to be limiting.
[0014] In the following specification and the claims, reference will be made to a number of terms, which shall be defined to have the following meanings. The singular forms “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise.
[0015] Embodiments of the present disclosure relate to a system for multimedia-based learning. The system includes a monitoring subsystem coupled to the sewerage. The monitoring subsystem includes a plurality of sensing means configured to detect one or more parameters corresponding to the sewerage by locating a manhole. The system also includes a processing subsystem hosted on a server. The processing subsystem includes an analysis subsystem operatively coupled to the monitoring subsystem and configured to analyse one or more sensed parameters by processing historical data using one or more data analysis techniques. The processing subsystem also includes a prediction subsystem operatively coupled to the analysis subsystem and configured to predict a status of the sewerage based on an analysed result by using one or more prediction techniques. The system also includes a notification subsystem operatively coupled to the processing subsystem and configured to notify a user about a real-time status of the sewerage.
[0016] FIG. 1 is a block diagram of a system (100) for monitoring and analysing a sewerage in accordance with an embodiment of the present disclosure. The system (100) includes a monitoring subsystem (110) coupled to the sewerage (115). The monitoring subsystem (110) includes a plurality of sensing means (120) configured to detect one or more parameters corresponding to the sewerage (115) by locating a manhole. In one embodiment, the plurality of sensing means (120) may include a lidar sensor to detect total depth of the sewerage by hitting bottom surface of the manhole through illumination of a laser light. In such embodiment, the lidar sensor also detects water level and earth level of the sewerage in meters above sea level (MSL). In some embodiment, the plurality of sensing means (120) may also include an ultrasonic sensor to detect level of water inside the sewerage.
[0017] In another embodiment, the sensing means (120) may also include a positioning system to locate the manhole. In such embodiment, the positioning system may include a satellite-based positioning system, a cellular network-based positioning system and an internet-based positioning system. In some embodiment, the satellite-based positioning system may include, but not limited to, a GLONASS, a Galileo, a COMPASS or a GNSS. In one embodiment, the sensing means may include an accelerometer to detect change in gravity.
[0018] In some embodiment, the plurality of sensing means (120) may include a motion sensor to detect physical movement of the system coupled with the sewerage within an environment. In one embodiment, the plurality of sensing means (120) may also include a proximity sensor to detect presence of a nearby object to the sewerage without any physical contact. In some embodiment, the plurality of sensing means (120) may also include a temperature sensor to measure temperature inside the manhole of the sewerage. In one embodiment, the plurality of sensing means (120) may also include a gas detection sensor to detect presence of a harmful or a flammable gas within the manhole of the sewerage. In some embodiment, the plurality of sensing means (120) may also include a humidity sensor to measure moisture content inside the sewerage.
[0019] In some embodiment, the plurality of sensing means (120) may detect one or more parameters such as an unauthorised access to the sewerage (115) through the manhole, a connection of one or more pipes within the sewerage through the manhole, open and close status of a manhole cover, one or more gases present within the sewerage, water-level of the sewerage, clogs in the sewerage, turbidity, flow rate, temperature and humidity.
[0020] The system (100) also includes a processing subsystem (130) hosted on a server. In one embodiment, the server may be a remote server. In such embodiment, the remote server may be a cloud-based server. The processing subsystem (130) includes an analysis subsystem (140) operatively coupled to the monitoring subsystem (110) and configured to analyse one or more sensed parameters by processing historical data using one or more data analysis techniques. In one embodiment, the one or more data analysis techniques may include at least one of a regression analysis technique, a hypothesis testing technique, a Monte Carlo simulation technique, a content analysis technique or a narrative analysis technique.
[0021] The processing subsystem (130) also includes a prediction subsystem (150) operatively coupled to the analysis subsystem (140) and configured to predict a status of the sewerage (115) based on an analysed result by using one or more prediction techniques. In one embodiment, the one or more prediction techniques may include, but not limited to, at least one of a linear regression technique, a logistic regression technique, a neural network technique, a support vector machine technique, a k-nearest neighbour technique, a decision tree technique, a random forest technique, and a gradient boosting technique.
[0022] The system (100) also includes a notification subsystem (160) operatively coupled to the processing subsystem (130) and configured to notify a user about a real-time status of the sewerage (115). In some embodiment, the notification subsystem (160) notifies for maintenance requirement for the sewerage (115) based on the real-time status when deposition of the clog within the manhole of the sewerage (115), the unauthorised connection of the one or more pipes within the sewerage, overflow of water in the sewerage, fire hazard in the sewerage or tampering of the sewerage (115) through the manhole by an external source are detected.
[0023] The notification subsystem (160) notifies about the real-time status of the sewerage (115) through an interactive dashboard, wherein the interactive dashboard displays location and position of the manhole, water-level inside the sewerage, clogs within the sewerage or the turbidity. In some embodiment, the notification subsystem may notify the real-time status of the sewerage to alert the user in one or more forms such as a short message service (SMS), an email, an alarm or a multimedia message. In another embodiment, the interactive dashboard also displays future possibilities or status of the sewerage, predicted by the one or more prediction techniques. The notification subsystem (160) utilizes one or more means of communication to notify the users. In one embodiment, the one or more means of the communication may include a wireless means of communication. In another embodiment, the one or more means of communication may include a wired means of communication.
[0024] In a specific embodiment, the system (100) further includes a deployment subsystem (not shown in FIG. 1) configured to deploy a semi-automated robot to clean the clogs within the sewerage for maintenance based on the real-time status of the sewerage. In another embodiment, the system (100) may further include an automated robot to clean the clogs within the sewerage (115) for the maintenance based on the notification received about the real-time status of the sewerage (115).
[0025] In a preferred embodiment, the plurality of sensing means (120) may further include an image capturing device configured to visualise an internal conduit of the sewerage (115) by capturing an image or a video in the real-time. In such embodiment, the image capturing device may include an optical device, a camera, a camcorder, a night vision camera, a thermal camera or an infrared camera.
[0026] FIG. 2 is a flow chart representing the steps involved in a method (200) for monitoring and analysing a sewerage in accordance with the embodiment of the present disclosure. The method (200) includes detecting, by a plurality of sensing means of the monitoring subsystem, one or more parameters corresponding to the sewerage by locating a manhole in step 210. In one embodiment, detecting by the plurality of sensing means the one or more parameters corresponding to the sewerage may include detection by the plurality of sensing means such as a lidar sensor, an ultrasonic sensor, a positioning system, an accelerometer, a motion sensor, a proximity sensor, a temperature sensor, a gas detection sensor or a humidity sensor. In such embodiment, detecting of total depth of the sewerage or earth level of the sewerage by hitting bottom surface of the sewerage may include the detection by using the lidar sensor.
[0027] In some embodiment, the detection of level of water inside the manhole of the sewerage may include the detection by using the ultrasonic sensor. In one embodiment, locating the sewerage may include the locating by using the positioning system. In another embodiment, the detection of a physical movement of the system coupled with the sewerage within an environment may include the detection by using the motion sensor. In one embodiment, the detection of presence of a nearby object to the sewerage without any physical contact may include the detection by using the proximity sensor. In some embodiment, the detection of temperature inside the sewerage may include the detection by using a temperature sensor. In a particular embodiment, the detection of the presence of a harmful or an inflammable gas inside the sewerage may include the detection by using a gas sensor. In some embodiment, the detection of the moisture inside the sewerage may include the detection by using a moisture sensor.
[0028] In one embodiment, the detection of the one or more parameters corresponding to the sewerage may include the detection of an unauthorised access to the sewerage through the manhole, a connection of one or more pipes with the sewerage, open and close status of a manhole cover, one or more gases present within the sewerage, water-level of the sewerage, clogs in the sewerage, turbidity due to deposition of solid components within the sewerage, flow rate of sewage water inside the sewerage, temperature and humidity.
[0029] The method (200) also includes analysing, by an analysis subsystem, one or more sensed parameters corresponding to the sewerage by processing historical data using one or more data analysis techniques in step 220. In one embodiment, analysing the one or more sensed parameters corresponding to the sewerage by processing the historical data using the one or more sensed parameters may include analysing by using at least one of a regression analysis technique, a hypothesis testing technique, a Monte Carlo simulation technique, a content analysis technique or a narrative analysis technique.
[0030] The method (200) also includes predicting, by a prediction subsystem, a status of the sewerage based on an analysed result by using one or more prediction techniques in step 230. In some embodiment, predicting the status of the sewerage based on the analysed result may include analysing by using the one or prediction techniques such as at least one of a linear regression technique, a logistic regression technique, a neural network technique, a support vector machine technique, a k-nearest neighbour technique, a decision tree technique, a random forest technique, and a gradient boosting technique.
[0031] The method (200) also includes notifying, by a notification subsystem, a user about a real-time status of the sewerage in step 240. In one embodiment, notifying the user about the real-time status of the sewerage may include displaying in an interactive dashboard about the real-time status of the sewerage such as deposition of the clog within the sewerage, the unauthorised connection of the one or more pipes with the sewerage, fire hazard in the sewage infrastructure or tampering of the sewerage through the manhole by an external source. In such embodiment, notifying a maintenance worker may include displaying the notification in the interactive dashboard about maintenance requirement for the sewerage.
[0032] In a specific embodiment, the method further includes deploying, by a deployment subsystem, an automated robot for maintenance of the sewerage by cleaning clogs within the sewerage. In another embodiment, the method further includes deploying, by the deployment subsystem, a semi-automated robot for maintenance of the sewerage by cleaning clogs within the sewerage.
[0033] Various embodiments of the present disclosure enables remote monitoring and analysis of the one or more parameters corresponding to the sewerage through the plurality of sensing means.
[0034] Moreover, the present disclosed system enables predicting the status for future of the sewerage, by analysing one or more sensed parameters through the one or more data analysis techniques and the machine learning approach.
[0035] Furthermore, the present disclosed system is an interactive system as the system enables notifying the user as well as maintenance workers about the predicted status of the sewerage through an interactive dashboard.
[0036] It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the disclosure and are not intended to be restrictive thereof.
[0037] While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.
[0038] The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, the order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.