Data-driven water use scene determination method and device, equipment and storage medium

Abstract

The invention discloses a data-driven water consumption scene determination method and device, equipment and a storage medium, and aims to realize intelligent identification and accurate service of a water consumption scene. Water consumption data of a user side are collected in a high-precision mode through the intelligent water meter, real-time transmission of the data is achieved through the Internet of Things technology, a mass database is formed, and the data are treated and analyzed. By constructing the multi-mode comprehensive water consumption scene model, the method can realize recognition and analysis of various water consumption scenes such as key user consumption sudden increase / sudden decrease early warning, fire-fighting water consumption abnormity recognition, residential water commercial detection and the like. The system carries out intelligent learning and continuous optimization of a scene based on artificial intelligence, and generates a water use early warning and prediction result in real time, thereby improving the scientificity of water supply management, reducing the waste of water resources, and assisting the development of intelligent water affairs. In addition, personalized services are provided for the user through the water consumption scene application platform, and scientific water management and user side accurate services are achieved.

Description

Technical Field

[0001] The present invention relates to the field of smart water technology, and in particular to a data-driven water use scenario determination method, device, equipment and storage medium. Background Art

[0002] With the introduction of Internet of Things technology into the water industry, with smart water meters and sensors as the hardware foundation, deep perception of the entire water system has been achieved, which has solved the problem of missing data on the user side to a certain extent, replaced manual meter reading and thus reduced costs. It has the functions of real-time data transmission and authenticity and reliability, thus promoting the construction of smart water and smart cities. At the same time, it has also accumulated a large amount of data assets. The use of big data technology to collect, integrate, analyze and apply data can provide decision-making support, optimized management, innovative services and other values ​​for the water industry, thus forming a new data economy model.

[0003] On the one hand, it has obvious advantages in controlling water supply network leakage, especially in the application of DMA zone leakage identification. Compared with model-driven, rapid data analysis can greatly shorten the identification time of leakage events without involving complex water supply network modeling.

[0004] On the other hand, for urban water supply scheduling and water resources planning, especially the application of the influencing mechanism of urban water use under the influence of complex environment, some abstract models and methods are proposed through big data, computing technology, machine learning and other means. The water use prediction model is driven and deep learning training is used to calculate the relative error of the predicted data, and the performance of the model is verified again, which reduces the difficulty of water use prediction and improves data accuracy.

[0005] On the other hand, with regard to abnormal water usage monitoring of household meters, abnormal water usage monitoring of large users, leakage monitoring in residential areas, and water volume monitoring of large-caliber water meters, we analyze user water usage abnormal information based on the data reported by smart water meters, establish communication channels with users, and notify users in a timely manner to minimize water resource waste and user losses.

[0006] With the development of artificial intelligence and other related technologies, high-precision measurement of smart water meters can be achieved. In the water industry, how to fully integrate with big data, especially massive data, find one or more methods and tools to determine water use scenarios, and intelligently analyze and achieve full coverage of user-side water use scenario applications, including from perception to communication to storage to platform to scenario application portraits, etc., to achieve scientific water management and precise user services. Summary of the invention

[0007] The present invention aims to provide a method and device that can comprehensively collect and analyze user water use data and accurately identify a variety of water use scenarios. Through high-precision data collection by smart water meters, data transmission by Internet of Things technology, and data management and analysis by big data platforms, a multimodal comprehensive water use scenario model is constructed to achieve comprehensive monitoring and intelligent analysis of user water use, provide accurate early warning and management suggestions, thereby improving the utilization efficiency of water resources, reducing waste, and achieving scientific water management and precise user services.

[0008] The present invention solves the following technical problems existing in the prior art:

[0009] Insufficient analysis of the spatiotemporal regularities and characteristics of water use data: Comprehensively collect user water use data through smart water meters, build a high-quality data indicator system through data governance, explore the inherent laws and spatial evolution characteristics of water use data in different scenarios, and realize intelligent analysis of water use behavior.

[0010] Leakage events are not identified in a timely manner: Through a multimodal comprehensive water use scenario model, combined with intelligent learning and continuous training, leakage events in the water supply network can be quickly identified, and timely warnings for abnormal water use behavior can be achieved.

[0011] Single water use scenario application: Construct a variety of water use scenario determination methods, including scenarios of sudden increase / decrease in key user usage, key user quota water use warning scenarios, fire water use warning scenarios, vacant user scenarios, suspected group user scenarios, caring user scenarios, residential water commercial use scenarios, and water-saving leading user scenarios, etc. Through self-service adaptation of multi-scenario applications, the needs of different users and application scenarios are met.

[0012] Technical Solution

[0013] The present invention proposes a data-driven water use scenario determination method, device, equipment and storage medium. The technical solution includes the following specific steps and modules:

[0014] Data collection and transmission:

[0015] The smart water meter collects the user's water consumption data with high precision, including flow, pressure and other parameters. The collection interval is 5 minutes to ensure the real-time and accuracy of water consumption data.

[0016] The collected data is transmitted to the IoT collection platform via wireless communication media, and the TCP / IP protocol is used to achieve reliable data transmission.

[0017] Data storage and management:

[0018] The IoT collection platform performs preliminary management and analysis on the collected data, and stores the data in the database server, forming a massive raw data repository.

[0019] Data governance is carried out on the stored data, including data cleaning, stratification, classification and other processing steps, to eliminate invalid data, build high-quality business data, and explore the inherent laws of water use data in different scenarios through the establishment of an indicator system.

[0020] Water use scenario model construction:

[0021] Based on high-quality business data, a multimodal comprehensive water use scenario model is constructed. The model includes multiple scenario determination methods and tools for identifying and analyzing different water use scenarios.

[0022] Method for determining scenarios where usage of key users increases or decreases suddenly: By performing month-on-month and year-on-year analysis on hourly usage data, when usage exceeds the configured parameters, it is determined to be a scenario where usage increases or decreases suddenly.

[0023] Method for determining fire water use warning scenarios: By obtaining fire water use application information and checking it against actual water use conditions, abnormal fire water use behavior or leakage can be identified.

[0024] Method for determining water-saving leading user scenarios: Taking the community as the unit, rank and evaluate according to historical water use data and user water-saving behavior to determine the leading water-saving users.

[0025] Data analysis and application:

[0026] Through the water use analysis module, situation analysis module and alarm analysis module, in-depth analysis of business data is carried out to analyze trends such as daily difference, time difference, year-on-year, month-on-month and change rate of water use, quickly identify abnormal situations and generate alarms.

[0027] Build a multimodal comprehensive water use scenario application platform to provide water use scenario applications for key users, residential users and community users, and form a diversified water use scenario portrait.

[0028] With the help of artificial intelligence technology, water use scenario models are intelligently learned and continuously optimized to improve the accuracy of scene recognition and early warning, and ultimately achieve intelligent management of water use scenarios.

[0029] Multi-scenario applications and user services:

[0030] The water use scenario application platform and the smart water meter online monitoring system exchange data in real time and synchronize business functions through the interface service system.

[0031] The system can provide users with accurate water management suggestions based on the analysis results of water use scenarios, including water-saving reminders, abnormal water use warnings, fire water monitoring, etc.

[0032] For community users, the system provides functions such as water usage inquiry and payment bill inquiry to help water companies provide precise services to community users.

[0033] Beneficial Effects

[0034] The present invention has the following beneficial effects:

[0035] High-precision data collection and intelligent management: Through smart water meters, high-precision water usage data on the user side is fully perceived, and combined with data management methods, a high-quality data indicator system is built to provide a data foundation for scientific water management and precise services.

[0036] Accurate identification and intelligent analysis of multiple scenarios: Build a multimodal comprehensive water use scenario model, self-adapt to multiple scenario applications, and achieve timely warning and prediction of water use scenarios through intelligent learning and continuous training, thereby improving the scientificity and efficiency of water use management.

[0037] Prioritize water conservation and reduce water waste: Through multi-scenario determination methods and real-time early warning, the system can quickly respond to leakage events and abnormal water use behaviors, prioritize water conservation, reduce water waste, and promote the development of smart water services and smart cities.

[0038] Precision user services: The system provides users with personalized management services based on water use data analysis, including water-saving leading user assessment, fire water warning, and residential water commercial use identification, etc., to meet the needs of different users and improve user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 A schematic diagram of the flow of the smart water meter online monitoring system platform according to an embodiment of the present invention;

[0041] Figure 2 This is a schematic diagram of the water use scenario application platform process according to an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0043] It should be noted that the references to "one embodiment", "an embodiment", "an exemplary embodiment", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0044] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending, at least in part, on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0045] 1. System structure overview

[0046] The present invention provides a data-driven water use scenario determination system, which mainly includes the following components: smart water meter, communication medium, Internet of Things collection platform, database service, smart water meter online monitoring system, interface service system and water use scenario application platform. The system realizes the collection, management, analysis and scenario application of global water use data through Internet of Things technology and artificial intelligence algorithm, comprehensively covers the water use needs of different users, and promotes the scientific management of water resources.

[0047] 2. Water use scenario determination process

[0048] The system collects users' water consumption data with high precision through smart water meters, and transmits the data to the smart water meter online monitoring system in a timely manner through the communication network. The online monitoring system includes water consumption analysis module, situation analysis module, alarm analysis module and work order management module, etc. These modules realize the functions of water consumption data storage, management, data cleaning, analysis, alarm generation and work order processing.

[0049] Smart water meters collect water usage data points every 5 minutes, including flow, pressure and other information. Data is transmitted to the smart water meter online monitoring system through the IoT collection platform and stored in the data center. The water usage analysis module cleans and processes the data, removes invalid data through stratification and classification, and forms high-quality business data. The situation analysis module obtains trend data such as daily difference, time difference, year-on-year, month-on-month and change rate of water usage. The alarm analysis module is used to quickly identify data anomalies and generate alarm work orders. The work order management module realizes closed-loop dispatching, processing and analysis management.

[0050] Through the interface service system, the monitoring platform and the water use scenario application platform realize real-time data interaction. The water use scenario application platform manages the basic data, builds a high-quality data indicator system, and uses artificial intelligence technology for intelligent learning and training to form a multi-modal comprehensive water use scenario model, providing precise support for water use applications in different scenarios.

[0051] 3. Scenario Application Method

[0052] The system realizes the following main application scenarios through a multimodal comprehensive water use scenario model:

[0053] Scenarios of sudden increase / decrease in usage of key users: Perform month-on-month and year-on-year analysis on hourly usage data to determine whether the user's water usage has suddenly increased or decreased. If it exceeds the configured parameters, it is determined to be this scenario.

[0054] Water quota warning scenario for key users: Calculate the quarterly quota balance based on historical usage data, and generate a warning if water consumption exceeds the warning limit.

[0055] Fire water warning scenario: Analyze fire water application and actual water use data to determine whether it is abnormal fire water use or leakage.

[0056] Vacant user scenario: Determine if the user has not used water or has low water usage, and identify possible house vacancy or water leakage.

[0057] Suspected group user scenario: Analyze the basic water consumption of the residents and combine factors such as changes in the number of water users to determine whether there is group water use or water leakage.

[0058] Commercial use scenarios for residential water: Obtain long-term water use trends of residential households, analyze them in combination with water use hyperparameters, and identify suspected commercial use situations.

[0059] Water-saving leading user scenario: Taking the community as the unit, the user's water-saving performance is evaluated through historical water use data, per capita water consumption, use of water-saving equipment and other multi-dimensional bonus items, and gold, silver and bronze medal scenario recognition is given.

[0060] 4. Data governance and AI learning

[0061] In order to achieve refined management and scientific water use, the system governs the collected data, builds a data indicator system, and deeply explores the inherent laws and spatial evolution characteristics of the data. By analyzing the water use scenarios of key users, residential users, and community users, a variety of scenario determination methods are constructed to accurately form water use scenario portraits, and with the help of artificial intelligence technology, continuous intelligent learning and training are carried out, ultimately achieving the prediction and foresight of water use scenarios and real-time warning to reduce water resource waste.

[0062] The present invention provides a data-driven water use scenario determination method, device, equipment and storage medium, which mainly apply the Internet of Things technology, collect water use data information with high precision and intensively through smart water meters, build a smart water meter online monitoring system platform, realize data visualization display, and at the same time perform data governance on the storage data center data, build a data indicator system, explore the inherent laws and spatial evolution characteristics of water use data in different scenarios, classify and establish a variety of scenario determination methods, aggregate various scenario determination methods and tools, accurately portray water use scenarios, form a multimodal comprehensive water use scenario model, build a water use scenario application platform, and through self-service adaptation of multi-scenario applications, use artificial intelligence technology to continuously carry out intelligent learning and training, and have instantiated the timely early warning and forecasting of water use scenarios, and predictive prediction, so as to achieve water conservation priority and reduce water resource waste.

[0063] like Figure 1 As shown in the figure, the smart water meter online monitoring system platform process:

[0064] The smart water meter 1 collects water consumption data information with high precision and densely, including flow rate, pressure, etc., stores a data point every 5 minutes, and transmits it directly to the smart water meter online monitoring system 4 through the TCP / IP mode by the wireless communication medium 2. The IoT collection system 5 manages, analyzes, interacts and stores the data to form the source data and stores it in the storage data center. The water consumption analysis module 6 obtains the source data of the storage data center, removes invalid data and forms high-quality business data through stratification, classification and business analysis. The business data is deduced through the alarm analysis module 7 to quickly identify data anomalies and form alarm work orders. At the same time, the business data is sent to the The situation analysis module 10 obtains trend curves such as daily difference, time difference, year-on-year, month-on-month and change rate of water consumption, and forms alarm work orders, inspection (check) work orders, meter reading work orders and meter replacement work orders, etc. The work order management module 11 performs closed-loop management of the entire work order including real-time dispatching, receiving, handling, reviewing, canceling and completing, as well as statistical analysis and query of work orders. Combined with the meter management module 8, the smart water meter is managed throughout its life cycle from installation, operation, maintenance, and destruction. The operation process and results of the above modules, as well as metadata and business data, are then electronically retained by the report management module 11 in the form of various summary and detailed reports.

[0065] The interface service system 4 realizes the real-time interaction of source data and business data as well as the real-time interaction of business functions between the data storage center of the smart water meter online monitoring system platform and the data storage center of the water use scenario application platform.

[0066] like Figure 2 As shown in the figure, the water use scenario application platform process:

[0067] The interface service system 1 obtains the basic data and high-quality business data of the storage data center of the smart water meter online monitoring system platform in real time, and stores them in the storage data center of the water use scenario application system 2 for storage and management in a timely manner. The data center data is then governed by data to build a high-quality data indicator system and stored in the storage data center. By mining the inherent laws and spatial evolution characteristics of water use data in different scenarios, a multimodal comprehensive water use scenario model module 3 is constructed to achieve accurate water use scenario portraits. The multimodal comprehensive water use scenario model module 3 is an aggregated water use scenario determination method and tool, including (1) a method for determining a sudden increase / decrease scenario for key users. When the hourly usage data exceeds the configuration parameters on a month-on-month and year-on-year basis, it is judged as a sudden increase / decrease scenario. ; (2) Method for determining the quota water use warning scenario for key users: first determine the average monthly quota usage for this quarter, then calculate the quota surplus for this quarter by accumulating the monthly usage of the previous months of this quarter and comparing it with the quarterly quota, and finally determine the over-and-under warning scenario; (3) Method for determining the fire water use warning scenario: first obtain the fire water use application information, including location and time, etc., then obtain the actual fire water use interval trend, verify and check the normal fire water use scenario, and the rest are abnormal fire water use scenarios or fire water leakage scenarios; (4) Method for determining the vacant user scenario: first obtain the user's normal water use interval trend as the basis, and then determine that there is no water use or zero water use or low water use for a continuous period exceeding the configuration parameters, then determine it as a suspected house vacancy or water leakage scenario; (5 ) The method for determining the suspected group user scenario is to first obtain the basic daily water volume used by the household to form an interval trend, then obtain the number of households greater than the configuration parameters, then obtain the household water consumption for one year to form an interval trend, and finally, if the change in the number of water users confirmed on a monthly basis is greater than the configuration parameters, it is judged as a suspected group or water leakage scenario; (6) The method for determining the caring user scenario; (7) The method for determining the residential water commercial scenario is to first obtain the interval trend of the residential household water consumption for one year, then obtain the starting point of the over-water use time according to the over-water use parameters, and then compare the water consumption after the starting point with the previous period. If both exceed the range, it is judged as a suspected residential water commercial or pipe modification scenario; (8) The method for determining the water-saving leading user scenario is to take the community as the unit, first target the residential water consumption, and then compare the residential water consumption with the previous period. One year's (historical) water use data is ranked per capita, and basic points are given according to the bit range. Bonus points are set based on the user's mastery of water-saving knowledge, the user's efficiency in using water-saving equipment, the user's active participation in water-saving publicity, and the user's participation in government, tap water, and environmental construction-related water-saving publicity. The final bonus point value is obtained according to the predetermined parameter ratio of the bonus point level. Finally, the users are ranked in order from large to small according to the total score to determine the gold, silver, and bronze medal scenarios for water-saving leaders. Through self-service adaptation of multi-scenario applications and continuous intelligent learning and training with the help of artificial intelligence technology, timely early warning, forecasting, and prediction of water use scenarios have been instantiated to prioritize water conservation and reduce waste of water resources.

[0068] The key user water usage scenario application module 4 displays in real time the confirmed user information of sudden increase and decrease in water volume, the consumption trend curve and the water use characteristics; displays in real time the confirmed quota water use warning and the reminder of the next water use quota; displays in real time the confirmed fire water use warning and water use application status.

[0069] The residential user water use scenario application module 5 displays the confirmed vacant user information and usage trend curve in real time; displays the confirmed suspected group user information and usage trend curve in real time; displays the confirmed caring user information and usage trend curve in real time; displays the confirmed residential water commercial user information and usage trend curve in real time; displays the confirmed water-saving leading user ranking information in real time.

[0070] The community water use scenario application module 6 displays in real time the water use scenario applications of residential users within the jurisdiction (covering the display content of the residential user water use scenario application module 5), notices and announcements, as well as business functions such as water use situation inquiry and payment bill inquiry, so as to facilitate the tap water to provide precise services to the community.

[0071] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0072] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A data-driven water use scenario determination method, characterized in that: The method comprises the following steps: S1. Use smart water meters to collect water usage data on the user side with high precision, including flow and pressure parameters; S2. Using a communication medium to transmit the water use data in real time to an Internet of Things collection platform for management, analysis and storage, to form a massive data storage database; S3. Conduct data governance for the collected data, build a high-quality data indicator system, and explore the inherent laws and spatial evolution characteristics of water use data in different scenarios; S4. Classify and establish water use scenarios for different users, including scenarios of sudden increase / decrease in usage for key users, water quota warning scenarios for key users, water warning scenarios for fire protection, vacant user scenarios, suspected group user scenarios, caring user scenarios, residential water commercial scenarios, and water-saving leading user scenarios; S5. Based on the water use scenario determination method, a multimodal comprehensive water use scenario model is constructed to achieve timely early warning, forecasting and prediction of water use scenarios and reduce water resource waste.

2. The method according to claim 1, characterized in that The water consumption data is collected by the smart water meter at 5-minute intervals, and the data is transmitted to the Internet of Things collection system through the TCP / IP mode.

3. The method according to claim 1, characterized in that The data governance includes the following steps: S1. Layer and classify the data, and eliminate invalid data to form high-quality business data; S2. Use business data to build an indicator system for various water use scenarios; S3. Explore the trend characteristics and spatial evolution patterns of users’ water use behaviors through intelligent analysis.

4. The method according to claim 1, characterized in that The multimodal comprehensive water use scenario model includes the following functional modules: The module for determining the sudden increase or decrease in usage of key users determines whether there is a sudden increase or decrease by analyzing the month-on-month and year-on-year comparison of hourly usage data. The fire water warning scenario module verifies the fire water application information and actual water use data to determine whether there is abnormal fire water use or leakage; The water-saving leading user scenario module gives additional points based on water usage data and user water-saving behavior to determine whether the user is a water-saving leading user.

5. A data-driven water use scenario determination device, characterized in that: The device comprises: Smart water meters are used to collect users’ water consumption data with high precision; A communication module, used to transmit the water use data to an Internet of Things collection platform; Database, used to store collected water use data and managed high-quality business data; The water use scenario determination module is used to analyze the collected data, establish a multimodal comprehensive water use scenario model and perform scenario applications.

6. The device according to claim 5, characterized in that The smart water meter has the capability of collecting multiple parameters such as flow rate and pressure, and transmits data via a wireless communication medium.

7. The device according to claim 5, characterized in that The water use scenario determination module includes: Data governance unit, used to clean and process the collected data; Scenario analysis unit, used to mine the patterns of water use data in different scenarios; The early warning unit is used to warn of abnormal situations in water usage scenarios.

8. A data-driven water usage scenario determination device, characterized in that: The device comprises the apparatus according to any one of claims 5 to 7, and a display module connected to the apparatus, wherein the display module is used to display analysis results and warning information of water use scenarios in real time.

9. A computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the method according to any one of claims 1 to 4 when executed by a computer.

10. The computer-readable storage medium of claim 9, wherein: The computer program further includes a user interface module for interacting with a user, for displaying water use scenario analysis and early warning results, and for providing suggestions for water use management.

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