Claims:1. A computer implemented system 100 for gathering, analysing and transmitting parameters associated with a milk collection apparatus obtained from sensing means 105, said system 100 comprises:
a processor 201;
an input/output 202 interface;
an artificial intelligence sub-system;
a memory 203 further comprising;
one or more modules 204 further comprising;
a data handling module 205;
a data collecting module 206; and
a data analysis module 207;
an artificial intelligence module 208; and
a data 209 further comprising;
a repository 210; and
other data 211;
a network 101;
one or more server(s);
characterized in that the parameters of milk associated with the milk collection apparatus obtained from sensing means during milk collection which are collected in a required format to compose a collected data which is further analysed by the system 100 to compose an analysed data and sent to a server over the network 101.

2. A computer implemented system of claim 1, wherein the artificial intelligence sub system extracts data from the analysed data to generate a forecast report for perishability, logistics and lender intelligence.

3. A computer implemented system as claimed in claim 1 wherein the analysed data is employed by the artificial intelligence sub-system for the transport logistics of the milk depending upon the quality, quantity or perishability.

4. A computer implemented system as claimed in claim 1 wherein the system is enabled to generate an individual milk lender intelligence report comprising lender’s past history, transaction, quality of the milk, variation in milk supply, cattle information and personal information.

5. A computer implemented system as claimed in claim 1 wherein the parameters of the milk for the purpose of collection comprise of temperature, boiling point, freezing point, fat content, Solid Non Fat content, protein content, enzymes, carbohydrates or water content.

6. A computer implemented system as claimed in claim 1 wherein the data collection module enables the system 100 to collect the parameters of the milk in a required format.

7. A computer implemented system wherein the system is enabled to generate a data packet which can be printed to a paper receipt or sent in the form of an information by employing short message service (SMS) over Global System for Mobile communication (GSM) network to the particular milk lender’s cell phone based on the milk parameters received from the sensing means which comprises amount to be given to a milk lender for his/her respective milk.

8. A computer implemented method for gathering, analysing and transmitting parameters associated with a milk collection apparatus obtained from sensing means during milk collection which are collected in a required format to compose a collected data which is further analysed by the system and an artificial intelligence sub-system to compose an analysed data and sent to a server over the communication network 101.

9. A computer implemented method as claimed in claim 8 wherein the artificial intelligence sub system extracts data from the analysed data to generate a forecast report for perishability, logistics and lender intelligence.

10. A computer implemented method as claimed in claim 8 wherein the analysed data is employed by the artificial intelligence sub-system for the transport logistics of the milk depending upon the quality, quantity or perishability.

11. A computer implemented method as claimed in claim 8 wherein the system is enabled to generate an individual milk lender intelligence report comprising lender’s past history, personal information, transaction, quality of milk, variation in milk supply.
12. A computer implemented method as claimed in claim 8 wherein the parameters of the milk for the purpose of collection comprise of temperature, boiling point, freezing point, fat content, Solid Non Fat content, protein content, enzymes, carbohydrates or water content.

13. A computer implemented method as claimed in claim 8 wherein the data collection module enables the system to collect the parameters of milk in a required format.

14. A computer implemented method as claimed in claim 8 wherein the system is enabled to generate a data packet which can be printed to a paper receipt or sent in the form of an information by employing short message service (SMS) over Global System for Mobile communication (GSM) network to the particular milk lender’s cell phone based on the milk parameters received from the sensing means which comprises amount to be given to a milk lender for his/her respective milk.

15. A computer implemented system for transmitting a composed collected data or analysed data over a communication network 101 through one or more server(s) which is connectively coupled to;
one or more milk collecting apparatus comprising one or more sensing means and
one or more monitoring means;
characterized in that one or more server(s) are enabled to transmit and exchange collected data or analysed data between one or more milk collecting apparatus and one or more monitoring means.

16. A non-transitory computer memory storing instructions that when executed by a processor 201 cause the processor 201 to collect milk data in synchronous with analysis and collection of milk by employing a series of modules 204characterized in that the data is collected automatically in a required format when the milk is collected and the obtained one or more first set of analysed data of the collected milk is further analysed to represent a second analysed data over a network 101 which is connectively coupled to one or more servers.

Dated this 21st day of June 2017
, Description:FORM 2

THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENT RULES, 2003

COMPLETE SPECIFICATION

(See Section 10 and Rule 13)

Title of invention:
A SYSTEM AND METHOD FOR MILK DATA COLLECTION, ANALYSIS AND FORECASTING

APPLICANT:

WHITE GOLD TECHNOLOGIES LLP
A limited liability Partnership entity having address as
36, 4th floor, Nirmal Niwas No.2, 79/81,
Gowalia tank road, Mumbai city 400036,
Maharashta, India

The following specification particularly describes the invention and the manner in which it is to be performed.

CROSS-REFERENCE TO RELATED APPLICATIONS AND PRIORITY

The present application does not claim priority from any patent application.

TECHNICAL FIELD

The present invention relates to the field of data collection and its analysis by using a cloud computing system. More particularly, the invention relates to system and method for real time collection of data and synchronising it to one or more servers by cloud computing and executing analysis of the data by implementation of one or more modules.

BACKGROUND

Data collection is the process of gathering and measuring information on targeted variables in an established systematic format, which then enables one to answer relevant questions and evaluate outcomes. The collected data is effective when it is well parsed, in another way if the collected data is represented in a systematic format then only the collected data can be converted into useful information otherwise the collected data without a systematic fashion is only collection of uncategorised variables and constants.

The collection of data in a required format may be performed in ways comprising manual drafting or with the help of categorised library of modules wherein the inputs are given by the user to convert it into machine readable formats. Manual drafting of the collected data is cumbersome and may result the formatting of the collected data unmaintained. On the other hand, formatting of collected data using categorised library of modules can ease this tedious work because the user may need to collect the data first and then enters the inputs as required by the modules which are in the pre-formatted fashion. In the latter case, the modules are so developed that it prompts the user to input the specific data comprising variables and constants which is then used to compose the data in the required format. There is no any real-time automatic formatting of collected data based on the event performed.

Data analysis is the process of evaluating data using analytical and logical reasoning to examine each component of the data provided. Data from various sources is gathered, reviewed, and then analysed to form some sort of finding or conclusion. There are a variety of specific data analysis method, some of which include data mining, text analytics, business intelligence, and data visualizations. In fact, no business or work can survive without analysing available data or collected data. Analysis of data may help in taking decision.

Data collection and its analysis is utmost important in industries or warehouse which have business in the field of perishable goods, especially dairy industries where it has to deal their mainstream product as milk which is a perishable product. If automatic collection of milk collection data in terms of quantity, farmer credentials, timing, and quality (with respect to milk parameters comprising Solid Non-Fat, Fats, proteins and the like) may be composed using an apparatus then real time analysis of the milk is possible to get a fore view for the administrative department to take decision for their next step.

Officials in the dairy industry do not instantly get the detailed milk data for monitoring after the milk is collected. The collected milk and its quality data has to be analysed first by the authority for quality control monitoring. This type of monitoring is inconvenient as quick decision may not be taken to use or reject selective milk lot for processing based on its parameters because milk is perishable and it may get spoiled before it is set for processing.

Milk may be collected through distributed sub-centres which are connected by a main regional centre and finally transported to the respective dairy. It is not possible for the higher officials to attend all centres and monitor the milk collection. A portal or internet based network using cloud architecture may help them to analyse the collected milk parameters in real time and monitor the milk collection remotely.

In addition to the data collection and analysis the present invention may also develop an artificial intelligence for conducting post analysis processes. The embedded artificial intelligence may use the system-processed milk data for further forecasting of the milk collection chain health, status of milk, the logistics and the like.

The present invention may solve the long-standing problems or limitations but not limited to the above mentioned in the field of collection of milk and its data followed by its analysis.

SUMMARY

Before the present systems and methods are described, it is to be understood that this application is not limited to the particular systems, and methodologies described, as there can be multiple possible embodiments which are not expressly illustrated in the present disclosure. It is also to be understood that the terminology used in the description is for the purpose of describing the particular versions or embodiments only, and is not intended to limit the scope of the present application. This summary is not intended to identify essential features of the claimed subject matter nor is it intended for use in detecting or limiting the scope of the claimed subject matter.

In an embodiment, a computer implemented system for gathering, analysing and transmitting parameters associated with the milk collection apparatus obtained from sensing means, said system comprises: a processor; an input/output interface; an artificial sub-system; a memory further comprising; one or more modules further comprising; a data handling module; a user interface module; and a data collection module; a data analysis module; and a data. The data further comprising a repository; and other data; a communication network; one or more server(s). The invention is such that the parameters of milk associated with the milk collection apparatus obtained from sensing means during milk collection which are collected in a required format to compose a collected data which is further analysed by the system to compose an analysed data and sent to a server over the communication network.

In an embodiment, a computer implemented method for gathering, analysing and transmitting parameters associated with the milk collection apparatus obtained from sensing means during milk collection which are collected in a required format to compose a collected data which is further analysed by the system and an artificial intelligence sub-system to compose an analysed data and sent to a server over the communication network.

In an embodiment, a non-transitory computer memory storing instructions that when executed by a processor cause the processor to collect milk data in synchronous with analysis and collection of milk by employing a series of modules characterized in that the data is collected automatically in a required format when the milk is collected and obtained one or more first set of analysed data of the collected milk is further analysed to represent a second analysed data over a network which is connectively coupled to one or more servers.
BRIEF DESCRIPTION OF DRAWINGS

Figure 1 illustrates the system along with its network in accordance with an embodiment of the present subject matter.

Figure 2 illustrates a representation of a computer implemented system with a user device for the collecting and analysing the milk data and further forecasting in accordance with an embodiment of the present subject matter.

Figure 3 illustrates a best method for performing the invention, in accordance with an embodiment of the present subject matter.

DETAILED DESCRIPTION

The present subject matter may relate to a system and method of automatic collection of data and executing its analysis with the help of one or more module(s) combined together. More particularly, the system may be enabled to collect automatically the data of the collected milk.

Various embodiments or examples may be implemented in numerous ways, including as a system, a process, a method, an apparatus, a user interface, or a series of program instructions on a non-transitory computer readable medium such as a computer readable storage medium or a computer network where the program instructions are sent over optical, electronic, or wireless communication links. In general, operations of disclosed processes may be performed in an arbitrary order, unless otherwise provided in the claims.

A detailed description of one or more examples is provided below along with accompanying figures. The detailed description is provided in connection with such examples, but is not limited to any particular example. The scope is limited only by the claims and numerous alternatives, modifications, and equivalents are encompassed. Numerous specific details are set forth in the following description in order to provide a thorough understanding. These details are provided for the purpose of example and the described techniques may be practiced according to the claims without some or all of these specific details. For clarity, technical material that is known in the technical fields related to the examples has not been described in detail to avoid unnecessarily obscuring the description.

The present invention may be a computer implemented system and method which may enable a milk collecting means to collect milk data related with respect to particulars comprising weight, fat content, Solid Non Fat (SNF), protein content, enzymes content, volume, weight, temperature, freezing point and the like. Furthermore, the system may be enabled to analyse the collected data into comprehensible format which is then sent to remote servers for further reference.

For the purpose of this invention ‘milk collecting means’ may be an apparatus, machine or device comprising collecting means and analysing means which may assist in collection and analysis of milk. Furthermore, the analysing means may comprise sensing means for sensing various parameters of the milk further comprising Fat, SNF, protein and the like.

For the purpose of this invention ‘sensing means’ may be a device or machine for sensing the parameters of the milk which may be incorporated in the milk collecting means. The sensing means may be one or more sensors comprising weight sensor, heat sensor, temperature sensor, light sensor, piezoelectric sensor, ultrasonic sensor, infrared sensor, colour sensor and the like.

For the purpose of this invention “data packet” may be a formatted unit of data carried by a wireless network. Data packet may be used in Internet Protocol (IP) transmissions for data that navigates the Web, and in other kinds of networks.

For the purpose of this invention “communication means” may comprise electronic modes or mediums for communication further comprising GPRS (General Packet Radio Services), SMS (Short Messaging Services), MMS (Multi-media Messaging Services), Bluetooth, broadband cables, Wi-Fi, Li-fi and the like. By employing the communication means a network may be established between the user device, first server and second server.

Referring to Figure 1, the system 100 along with its network 101 is represented and further illustrated in accordance with an embodiment of the present subject matter. The system comprises the milk collecting means 102, a server 103, a monitoring means 104, a network 101 and miscellaneous auxiliary devices. The milk collecting means may further comprise sensing means 105, storage tank 106, sampling tank 107, user device 108, display means 109. The collection of milk may be executed by the milk collecting means which may be in a remote area like a village, a collection centre in a city or place designated by the collecting dairy authority. The milk collecting means 102 may also be integrated with a transport vehicle in case the milk is to be collected at many points in a distributed region. The collection of data may be performed simultaneously when the milk is being collected. The system 100 may be enabled to share data from the sensing means 105 to its memory to obtain the collected data of the milk.

In an implementation, the system 100 may collect and analyse the data comprising the parameters of the milk in an adaptive format which may be executed by the system 100 and the said analysed data is sent to a server which is connectively coupled to the milk collecting means 102 and the monitoring means 104. The analysed data may contain the milk parameters of each sample given by the milk lender and the total integrated parameters of the milk collected in the storage tank 106. The system 100 may have a provision to calculate the parameters of milk present in the main storage tank 106 where all the collected milk is stored. The milk present in the storage tank 106 may be a mixture of all the milk given by the milk lenders and therefore it is necessary to know the integrated parameters of the milk. The system 100 may check the parameters of the milk in the storage tank 106 either by integrating each parameter of milk provider by the respective lender or by simply testing the milk collected in the storage tank.
The server may be configured to share the analysed result between the milk collecting means 102 and the monitoring means 104 over a network 101. The communication channel of the network 101 may comprise General Packet Radio Service (GPRS), Local Area Network (LAN), Metropolitan Area Network (MAN), Wide Area Network, Wireless Network, inter network and the like. The monitoring means 104 may comprise devices or machines capable of accepting the analysed data in a machine readable format and capable of displaying the analysed data through display means 109. The monitoring means 104 may comprise a mobile, a computer, a smart watch and the like.
The system 100 may also use an embedded system or developing an artificial intelligence which may forecast the future with respect to the perishability, lender intelligence report, logistics support and other conditions where decision is to be taken by observing the respective parameters. The forecast may be made by the input of some previous data and some fundamental data comprising the conditions for the spoiling of milk, referring real time traffic for logistics support.
Referring to figure 2, a representation of a computer implemented system in a user device 108 which may be incorporated in the milk collecting apparatus for collecting and analysing the milk data and further forecasting is illustrated in accordance with an embodiment of the present subject matter. In one embodiment, the user device 108 may include at least one processor 201, an input/output 202 (I/O) interface, and a memory 203. The processor 201 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, state machines, logic circuitries, and/or any devices that manipulate signals based on operational instructions. Among other capabilities, the processor 201 is configured to fetch and execute computer-readable instructions stored in the memory 203.
The I/O interface may include a variety of software and hardware interfaces, for example, a web interface, a graphical user interface, and the like. The I/O interface may allow the user device 108 to interact with a user directly or through the user device 108s. Further, the I/O interface may enable the user device 108 to communicate with other computing devices, such as web server and external data server 101s (not shown). The I/O interface can facilitate multiple communications within a wide variety of networks and protocol types, including wired networks, for example, LAN, cable, etc., and wireless networks, such as WLAN, cellular, or satellite. The I/O interface may include one or more ports for connecting a number of devices to one another or to another server.
The memory 203 may include any computer-readable medium known in the art including, for example, volatile memory, such as static random access memory (SRAM) and dynamic random access memory (DRAM), and/or non-volatile memory, such as read only memory (ROM), erasable programmable ROM, flash memories, hard disks, optical disks, and magnetic tapes. The memory 203 may include modules 204 and data.
The modules 204 include routines, programs, objects, components, data structures, etc., which perform particular tasks, functions or implement particular abstract data types. In one implementation, the modules 204 may include a data handling module 205, a data collecting module 206, a data analysing module 207, an artificial intelligence module 208 and other modules not shown in figure. The other modules may include programs or coded instructions that supplement applications and functions of the user device 108.
The data 209, amongst other things, serves as a repository 210 for storing data processed, received, and generated by one or more of the modules. The data may also include a repository 210, and other data 211. In one embodiment, the repository may be configured to store information provided by the user. Further, the other data may include data generated as a result of the execution of one or more modules 204 in the other module.
Referring to figure 3, a best method for performing the invention is illustrated in accordance with an embodiment of the present subject matter. At step 301, initially the lender may be recognised by a RFID (Radio Frequency Identification Device) sensing means which may help the system 100 to recall the details of the lender. The milk to be collected is tested by sampling from a sampling tank and fed to an analyser. At step 302, the analysis of milk is executed by considering the parameters such as Fat content, Solid Non Fat content, water content, protein content and the like. At step 303, simultaneously the system 100 auto-collects the milk parameters from the analyser to its memory 203 in a required format by initiating data collecting module and analyses it with the help of milk analysing module. At 305, the system 100 may immediately perform the analysis as per analysing factors as described and uploaded by the dairy authority. At 306 The milk parameters of the total milk present in the storage tank may be recognised by either integrating all the sample parameters or the second way may be sampling of milk from the storage tank and testing it with the help of analysing means and sharing the results with the system memory 203. At 304, the system 100 may share the real time collection, the real time analysis, and the real time total analysis with the monitoring means over a network 101.
At step 307, in an embodiment, the analysed data may be used by the artificial intelligence sub-system for:
Lender intelligence report: All of the previous transactions of each milk lender may be compared and represented in graphs or smart charts which may depict trends in the parameters of the milk being supplied. The system may also alert the degradation in the quality of the milk received from the lender whose cattle’s health may be in disorder. Due to the embedded artificial intelligence, the system may also forecast the upcoming parameters of the milk by using previous history.
Milk perishability report: Milk is a perishable product and it may spoil over a certain amount of time due to factors comprising weather, water content, milk temperature and the like. The system may use its artificial intelligence to forecast when the collected milk may get spoiled and also may provide an information when the milk lot should be taken for processing.
Transport logistics report: In most of the cases, milk may be transported from the remote areas to the processing plant, the system may forecast or calculate the convenient time for the transport to reach the processing plant. This system may give an automatic time target for the workers to send the milk to the plant within specified time limit.
In an embodiment, a computer implemented system wherein the system 100 may be enabled to generate a data to be printed on a paper receipt or for sending a data packet by employing short message service (SMS) over Global System for Mobile communication (GSM) network to the particular milk lender’s cell phone based on the milk parameters received from the sensing means which may comprise amount to be given to a milk lender for his/her respective milk. The data packet may be sent through other communication means comprising General Purpose Radio Service, Bluetooth, Wi-Fi and the like.
The embodiments, examples and alternatives of the preceding paragraphs, the claims, or the following description and drawings, including any of their various aspects or respective individual features, may be taken independently or in any combination. Features described in connection with one embodiment are applicable to all embodiments, unless such features are incompatible.