Intelligent control method and device for water supply and revenue

Abstract

The invention relates to an intelligent control method and device for water supply and revenue. The method comprises the following steps: acquiring water consumption distribution data corresponding to each water consumption detection point in an urban area and historical water consumption information of each user client, and calculating stage water consumption information corresponding to each user client through a water consumption algorithm; based on the historical water consumption information and the stage water consumption information of each user client, identifying water consumption abnormal information of each user client and water consumption trend information of the urban area, and generating a water consumption warning report of each user client; and generating water consumption charging information corresponding to each user client and new water consumption configuration information of the urban area, and finally generating a water supply revenue report of the urban area. By adopting the method, the management and control effect of the staff on urban water supply and revenue can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of big data and intelligent management and control, in particular to an intelligent management and control method and device for water supply revenue. BACKGROUND

[0002] In recent years, computer network communication technology has developed at a rapid pace, and information technology has been widely applied in various fields of social production and people's daily life, which not only greatly improves the efficiency of social production, but also effectively improves the quality of people's life. At present, the water supply companies in some rural areas of China still mainly use manual mode in the process of operation, that is, the entire process of meter reading and charging is mainly in a manual way. This way not only has a high error rate and is slow, but also has a complex management mode and low overall water charging management efficiency. Therefore, how to improve the efficiency of water supply revenue is the current research focus.

[0003] The traditional water supply marketing management mode increases the application of single machine version software, which can calculate the water consumption electronically, but the identification of urban water consumption is not comprehensive, and the accuracy of water consumption risk and urban water consumption change analysis is poor, thereby leading to poor control effect of water supply revenue. SUMMARY

[0004] Therefore, it is necessary to provide an intelligent management and control method and device for water supply revenue in view of the above technical problems.

[0005] In a first aspect, the present application provides an intelligent management and control method for water supply revenue, comprising: obtaining water distribution data corresponding to each water detection point in a city area and historical water consumption information of each user client, and based on the water distribution data corresponding to each water detection point, calculating stage water consumption information corresponding to each user client in the city area through a water consumption algorithm; based on the historical water consumption information of each user client and the stage water consumption information corresponding to each user client, identifying water anomaly information of each user client and water trend information of the city area, and generating a water warning report of each user client based on the water anomaly information of each user client; based on the water trend information of the city area and the stage water consumption information corresponding to each user client, generating water charging information corresponding to each user client and new water consumption configuration information of the city area, and based on the new water consumption configuration information of the city area and the water charging information corresponding to each user client, generating a water supply revenue report of the city area.

[0006] Optionally, the stage water consumption information corresponding to each user client of the urban area is calculated based on the water distribution data corresponding to each water detection point through a water consumption algorithm, including: The detection area identification information corresponding to each water detection point is identified, and the area water detection distribution information of each sub-target area of the urban area is identified based on the detection area identification information through an area detection map; For each sub-target area, the actual water distribution data of each user client of the sub-target area is calculated based on the area water detection distribution information of the sub-target area through an area water checking algorithm; The stage water consumption information corresponding to each user client is generated based on the actual water distribution data corresponding to each user client.

[0007] Optionally, the water anomaly information of each user client and the water trend information of the urban area are identified based on the historical water consumption information of each user client and the stage water consumption information corresponding to each user client, including: For each user client, the historical water feature information of the user client is identified based on the historical water consumption information of the user client, and the current water feature information of the user client is identified based on the stage water consumption information corresponding to the user client; The difference feature information of the user client is identified based on the historical water feature information and the current water feature information through a feature similarity identification strategy, and the water anomaly information corresponding to the user client is identified based on the difference feature information of the user client through a difference water analysis strategy; The water consumption distribution information of the user client is generated based on the historical water consumption information of the user client and the stage water consumption information corresponding to the user client, and the water trend information of the user client is identified based on the water consumption distribution information of the user client through a linear trend identification network.

[0008] Optionally, the water anomaly information of each user client is generated based on the water anomaly information of each user client, including: For each user client, the water anomaly type of the user client and the water anomaly feature of the user client are identified based on the water anomaly information corresponding to the user client; The water anomaly report of the user client is constructed based on the water anomaly type of the user client and the water anomaly feature of the user client through a warning information generation template.

[0009] Optionally, the water consumption trend information of the urban area and the stage water consumption information of each user client are used to generate water consumption charging information of each user client and new water consumption configuration information of the urban area, including: The water consumption charging information of each user client is calculated based on the stage water consumption information of each user client through a water consumption standard algorithm; The stage water distribution information of the urban area is generated based on the stage water consumption information of each user client, and the water consumption change distribution information of the urban area is predicted based on the water consumption trend information of the urban area and the stage water distribution information of the urban area; The new water consumption configuration information of the urban area is generated based on the water consumption change distribution information of the urban area through a water consumption configuration strategy.

[0010] Optionally, the new water consumption configuration information of the urban area and the water consumption charging information of each user client are used to generate a water supply revenue report of the urban area, including: The payment information of each user terminal is collected, and the payment revenue information of the urban area is generated based on the payment information of each user terminal and the water consumption charging information of each user terminal; The water market change information of the urban area is generated based on the new water consumption configuration information of the urban area and the water consumption change distribution information of the urban area; The payment revenue information of the urban area and the water market change information of the urban area are used as the water supply revenue report of the urban area.

[0011] In a second aspect, the present application further provides an intelligent management and control device for water supply revenue, including: An acquisition module is configured to acquire water distribution data of each water detection point in an urban area and historical water consumption information of each user client, and calculate stage water consumption information of each user client in the urban area based on the water distribution data of each water detection point through a water consumption algorithm; An identification module is configured to identify water anomaly information of each user client and water trend information of the urban area based on the historical water consumption information of each user client and the stage water consumption information of each user client, and generate a water warning report of each user client based on the water anomaly information of each user client; The generating module is configured to generate water consumption charging information corresponding to each of the user clients and new water consumption configuration information of the urban area based on the water consumption trend information of the urban area and the stage water consumption information corresponding to each of the user clients, and generate a water supply revenue report of the urban area based on the new water consumption configuration information of the urban area and the water consumption charging information corresponding to each of the user clients.

[0012] Optionally, the acquisition module is specifically configured to: identify detection area identifier information corresponding to each water detection point, and identify, based on the detection area identifier information, area water detection distribution information of each target sub-area of the urban area through an area detection map; for each target sub-area, calculate actual water consumption distribution data corresponding to each of the user clients of the target sub-area based on the area water detection distribution information of the target sub-area through an area water checking algorithm; generate stage water consumption information corresponding to each of the user clients based on the actual water consumption distribution data corresponding to each of the user clients.

[0013] Optionally, the identification module is specifically configured to: for each user client, identify historical water consumption feature information of the user client based on historical water consumption information of the user client, and identify current water consumption feature information of the user client based on the stage water consumption information corresponding to the user client; identify difference feature information of the user client based on the historical water consumption feature information and the current water consumption feature information through a feature similarity identification strategy, and identify water anomaly information corresponding to the user client based on the difference feature information of the user client through a difference water consumption analysis strategy; generate water consumption distribution information of the user client based on the historical water consumption information of the user client and the stage water consumption information corresponding to the user client, and identify water trend information of the user client through a linear trend identification network based on the water consumption distribution information of the user client.

[0014] Optionally, the identification module is specifically configured to: for each user client, identify a water anomaly type of the user client and water anomaly feature of the user client based on water anomaly information corresponding to the user client; construct a water anomaly warning report of the user client based on the water anomaly type of the user client and the water anomaly feature of the user client through a warning information generation template.

[0015] Optionally, the generating module is specifically configured to: based on the stage water consumption information corresponding to each of the user terminals, calculate water consumption charging information corresponding to each of the user terminals through a water consumption standard algorithm; based on the stage water consumption information corresponding to each of the user terminals, generate stage water distribution information of the urban area, and based on the water consumption trend information of the urban area and the stage water distribution information of the urban area, predict water consumption change distribution information of the urban area; based on the water consumption change distribution information of the urban area, generate new water consumption configuration information of the urban area through a water consumption configuration strategy.

[0016] Optionally, the generating module is specifically configured to: collect payment information of each of the user terminals, and based on the payment information of each of the user terminals and the water consumption charging information corresponding to each of the user terminals, generate payment revenue information of the urban area; based on the new water consumption configuration information of the urban area and the water consumption change distribution information of the urban area, generate water market change information of the urban area; use the payment revenue information of the urban area and the water market change information of the urban area as a water supply revenue report of the urban area.

[0017] In a third aspect, the present application provides a computer device. The computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the method of any one of the first aspect when executing the computer program.

[0018] In a fourth aspect, the present application provides a computer readable storage medium. The computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the method of any one of the first aspect.

[0019] In a fifth aspect, the present application provides a computer program product. The computer program product comprises a computer program, and the computer program is executed by a processor to implement the steps of the method of any one of the first aspect.

[0020] The intelligent management and control method and device for water supply revenue generation obtain the water distribution data corresponding to each water detection point in a city area and the historical water consumption information of each user client, calculate the stage water consumption information corresponding to each user client in the city area based on the water distribution data corresponding to each water detection point and through a water consumption algorithm, identify the water anomaly information of each user client and the water trend information of the city area based on the historical water consumption information of each user client and the stage water consumption information corresponding to each user client, generate a water warning report for each user client based on the water anomaly information of each user client, generate the water charging information corresponding to each user client and the new water consumption configuration information of the city area based on the water trend information of the city area and the stage water consumption information corresponding to each user client, and generate a water supply revenue generation report for the city area based on the new water consumption configuration information of the city area and the water charging information corresponding to each user client. According to the scheme, the water distribution data corresponding to different water detection points in different city areas (wherein the water detection point is the water flow detection information collected by a water flow detection point corresponding to a different range of a city) are combined to analyze the stage water consumption information of each user client, thereby improving the comprehensiveness and accuracy of the identification of the stage water consumption information of each user client. Then, the terminal identifies the water anomaly information of each user client and the water trend information. Therefore, the water warning report and the new water consumption configuration information of different user clients are intelligently generated, the problem of regional water supply deviation caused by abnormal water consumption in a city is avoided, and the water consumption management and control effect of a city area is improved. Then, the scheme can also generate a water supply revenue generation report for a city area, which facilitates the staff to comprehensively, fully and systematically understand and identify the water supply revenue generation situation of a city, thereby comprehensively improving the management and control effect of the staff on the water supply revenue generation of a city. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the drawings needed to be used in the description of the embodiments of the present application or the related art will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other related drawings can be obtained by those skilled in the art without any creative effort.

[0022] Figure 1 A flowchart of an intelligent management and control method for water supply revenue generation in an embodiment; Figure 2 A flowchart of an intelligent management and control method for water supply revenue generation in an embodiment; Figure 3A structural block diagram of an intelligent management and control device for water supply revenue in an embodiment; Figure 4 An internal structural diagram of a computer device in an embodiment. DETAILED DESCRIPTION

[0023] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0024] The intelligent management and control method for water supply revenue provided by the embodiment of the present application can be applied to the application environment of intelligent management and control of water supply revenue. The method can be applied to a terminal, a server, or a system including a terminal and a server, and is realized through the interaction of the terminal and the server. The terminal can be, but is not limited to, various personal computers, notebook computers, etc. The terminal analyzes the stage water consumption information of each user client by combining the water distribution data corresponding to different water detection points in different urban areas (wherein the water detection points are water flow detection information collected by water flow detection points corresponding to different ranges of the city), thereby improving the identification comprehensiveness and accuracy of the stage water consumption information of each user terminal. Then, the terminal identifies the water anomaly information and water trend information of each user client. Thus, the intelligent generation of water warning reports and new water consumption configuration information for different user clients avoids the problem of regional water supply deviation caused by abnormal urban water consumption, thereby improving the water consumption control effect of the urban area. The present scheme can also generate a water supply revenue report for the urban area, which facilitates the comprehensive, comprehensive and systematic understanding and identification of the city water supply revenue situation by the staff, thereby comprehensively improving the control effect of the staff on the city water supply revenue.

[0025] In an exemplary embodiment, as shown in Figure 1 An intelligent management and control method for water supply revenue is provided. Taking the application of the method to a terminal as an example, the method includes the following steps S101 to S103. Wherein: Step S101, obtaining the water distribution data corresponding to each water detection point in the urban area and the historical water consumption information of each user client, and based on the water distribution data corresponding to each water detection point, calculating the stage water consumption information corresponding to each user client in the urban area through a water consumption algorithm.

[0026] In this embodiment, the terminal receives the flow water quantity change information collected by each water consumption detection point in the urban area, obtains each water consumption detection data, and performs distribution sorting processing on the flow water quantity change information of each water consumption monitoring point in time sequence, to obtain the water consumption distribution data corresponding to each water consumption detection point. The terminal pre-sets a regional detection atlas of the urban area, and the regional detection atlas includes the regional range of the urban area that can be detected by different water consumption detection points. The regional ranges corresponding to different water consumption detection points can overlap, be adjacent, but not intersect, for example, the A water consumption detection point is the a street water supply point, the B water consumption detection point is the b community water supply point of a street, the C water consumption detection point is the c community water supply point of a street, the d water consumption detection point is the water supply point of b community d building of a street, and the e water consumption detection point is the water supply point of e house of b community d building of a street. Then, the terminal calculates the stage water consumption information corresponding to each user client of the urban area based on the water consumption distribution data corresponding to each water consumption detection point through a water consumption algorithm, wherein the water consumption algorithm is pre-set by the staff on the terminal, and is used to calculate the actual water consumption of each user client corresponding to the water consumption of different overlapping positions. The user client is a client applied by each household, each water consumption unit individual, or each minimum water independent metering user unit, for example, each family, each unit / enterprise / company, each unit building, or each village household, etc. The specific calculation process will be described in detail later.

[0027] In step S102, based on the historical water consumption information of each user client and the stage water consumption information corresponding to each user client, the water consumption abnormal information of each user client and the water consumption trend information of the urban area are identified, and the water consumption warning report of each user client is generated based on the water consumption abnormal information of each user client.

[0028] In this embodiment, the terminal identifies the water consumption abnormal information of each user client and the water consumption trend information of the urban area based on the historical water consumption information of each user client and the stage water consumption information corresponding to each user client, and generates the water consumption warning report of each user client based on the water consumption abnormal information of each user client. The water consumption abnormal information includes abnormal information corresponding to abnormal types such as excessively high water consumption, excessively fast water consumption growth, abnormally high water consumption frequency, or irregular water consumption. The water consumption warning report includes water waste warning to the user (for excessively high water consumption), water equipment abnormal warning (for excessively fast water consumption growth), and water pipeline theft warning (for abnormally high water consumption frequency). The water trend information is the water consumption change trend of each regional range of the urban area. The specific generation process will be described in detail later.

[0029] In step S103, based on the water consumption trend information of the urban area and the stage water consumption information corresponding to each user client, water consumption charging information corresponding to each user client and new water consumption configuration information of the urban area are generated, and based on the new water consumption configuration information of the urban area and the water consumption charging information corresponding to each user client, a water supply revenue report of the urban area is generated.

[0030] In this embodiment, the terminal generates water consumption charging information corresponding to each user client and new water consumption configuration information of the urban area based on the water consumption trend information of the urban area and the stage water consumption information corresponding to each user client, and generates a water supply revenue report of the urban area based on the new water consumption configuration information of the urban area and the water consumption charging information corresponding to each user client. The new water consumption configuration information is a new water supply range for different regional ranges. The specific generation process will be described in detail later.

[0031] Based on the above scheme, by combining the water consumption distribution data corresponding to different water detection points of different urban areas (wherein the water detection point is the water flow detection information collected by the water flow detection point corresponding to the different ranges of the city), the stage water consumption information of each user client is analyzed, which improves the comprehensiveness and accuracy of the identification of the stage water consumption information of each user client. Then, the terminal identifies the water consumption abnormal information and the water consumption trend information of each user client. Thus, the water warning report and the new water consumption configuration information of different user clients are intelligently generated, which avoids the problem of regional water supply deviation caused by abnormal water consumption of the city, thereby improving the water consumption control effect of the urban area. Then, the scheme can also generate a water supply revenue report of the urban area, which is convenient for the staff to comprehensively, comprehensively and systematically understand and identify the water supply revenue of the city, thereby comprehensively improving the control effect of the staff on the water supply revenue of the city.

[0032] Optionally, based on the water consumption distribution data corresponding to each water detection point, the stage water consumption information corresponding to each user client of the urban area is calculated by a water consumption algorithm, including: identifying the detection area identification information corresponding to each water detection point, and based on each detection area identification information, identifying the regional water detection distribution information of each sub-target area of the urban area through a regional detection map; for each sub-target area, based on the regional water detection distribution information of the sub-target area, the actual water consumption distribution data corresponding to each user client of the sub-target area is calculated through a regional water checking algorithm; based on the actual water consumption distribution data corresponding to each user client, the stage water consumption information corresponding to each user client is generated.

[0033] In this embodiment, the terminal identifies the detection area identifier information corresponding to each water detection point, and based on the detection area identifier information, identifies the regional water detection distribution information of each sub-target area of the city area through the area detection map. The detection area identifier information is the identifier information indicating the area range corresponding to each water detection point. In the area detection map, the inclusion relationship between the detection area identifier information is included. Each sub-target area is preset by the staff on the terminal, and is the minimum area range of the actual water distribution data of the user client, for example, the area range of a single building, the area range of a single community, or the area range of a single street, etc.

[0034] For each sub-target area, the terminal calculates the actual water distribution data corresponding to each user client of the sub-target area based on the regional water detection distribution information of the sub-target area through the regional water checking algorithm. Specifically, for example, the terminal calculates the accounting water distribution data of the 3rd floor based on the water distribution data of each household of the 3rd floor, and calculates the water distribution data difference value of the 3rd floor based on the water distribution data of the 3rd floor and the accounting water distribution data of the 3rd floor. The water distribution data difference value of the 3rd floor is divided by the number of all households of the 3rd floor to obtain the first sub-water distribution data difference value corresponding to each user client of the 3rd floor, and the water distribution data difference value of the 3rd floor is calculated in the same way. The water distribution data difference value of the whole building is calculated to obtain the second sub-water distribution data difference value corresponding to each user client. Finally, the terminal obtains the target water distribution data difference value corresponding to each user client by averaging the first sub-water distribution data difference value corresponding to each user client and the second sub-water distribution data difference value corresponding to each user client. Finally, the terminal sums up the water distribution data of each user client to obtain the actual water distribution data corresponding to each user client.

[0035] The terminal calculates the total water consumption corresponding to the current period based on the actual water distribution data corresponding to each user client to obtain the stage water consumption information corresponding to each user client. The current period is the time length preset by the staff on the terminal, for example, 1 month, 3 months, etc.

[0036] Based on the above scheme, the water distribution data difference value of different areas is calculated to obtain the actual water distribution data corresponding to each user client, which avoids the problem of abnormal water detection of a single water detection point leading to abnormal identification of the water consumption of the user client, and improves the identification accuracy of water detection and water control of the water point.

[0037] Optionally, based on the historical water consumption information of each user client and the stage water consumption information corresponding to each user client, the water consumption anomaly information of each user client and the water consumption trend information of the urban area are identified, including: for each user client, based on the historical water consumption information of the user client, the historical water consumption feature information of the user client is identified, and based on the stage water consumption information corresponding to the user client, the current water consumption feature information of the user client is identified; based on the historical water consumption feature information and the current water consumption feature information, the difference feature information of the user client is identified through a feature similarity identification strategy, and based on the difference feature information of the user client, the water consumption anomaly information corresponding to the user client is identified through a difference water consumption analysis strategy; based on the historical water consumption information of the user client and the stage water consumption information corresponding to the user client, the water consumption distribution information of the user client is generated, and based on the water consumption distribution information of the user client, the water consumption trend information of the user client is identified through a linear trend identification network.

[0038] In this embodiment, the terminal identifies, for each user client, the historical water consumption feature information of the user client based on the historical water consumption information of the user client, and identifies the current water consumption feature information of the user client based on the stage water consumption information corresponding to the user client. The water consumption feature information identified is obtained by performing linear feature identification on the sub-information of the water consumption information based on an artificial neural network of a linear feature identification technology, and the water consumption feature information includes water consumption range features, water consumption change amount features, water consumption change rate features, water consumption distribution features, etc.

[0039] The terminal identifies the difference feature information of the user client based on the historical water consumption feature information and the current water consumption feature information through a feature similarity identification strategy, and identifies the water consumption anomaly information corresponding to the user client based on the difference feature information of the user client through a difference water consumption analysis strategy. The feature similarity identification strategy can be, but is not limited to, a strategy of performing similarity calculation by a cosine similarity algorithm. The difference water consumption analysis strategy includes different feature ranges corresponding to different water consumption anomaly information. The terminal identifies the water consumption anomaly information corresponding to the user client through range adaptation.

[0040] The terminal generates the water consumption distribution information of the user client based on the historical water consumption information of the user client and the stage water consumption information corresponding to the user client, and identifies the water consumption trend information of the user client through a linear trend identification network based on the water consumption distribution information of the user client. The linear trend identification network is a convolutional neural network based on a linear identification algorithm.

[0041] Based on the above scheme, the water use abnormal information is identified by feature recognition, and the identification accuracy and efficiency of the water use abnormal information are improved.

[0042] Optionally, based on the water use abnormal information of each user client, a water use warning report of each user client is generated, including: for each user client, based on the water use abnormal information corresponding to the user client, identifying the water use abnormal type of the user client and the water use abnormal feature of the user client; based on the water use abnormal type of the user client and the water use abnormal feature of the user client, constructing the water use warning report of the user client through a warning information generation template.

[0043] In this embodiment, the terminal identifies the water use abnormal type of each user client and the water use abnormal feature of the user client based on the water use abnormal information corresponding to the user client. The water use abnormal feature is the target difference feature information corresponding to the water use abnormal type in the difference feature information.

[0044] The terminal constructs the water use warning report of the user client based on the water use abnormal type of the user client and the water use abnormal feature of the user client through a warning information generation template. Different water use abnormal types correspond to different warning information generation templates. The terminal identifies the abnormal warning information corresponding to the water use abnormal feature through a feature warning database preset in the terminal based on the water use abnormal feature of the user client, and then fills the abnormal warning information into the warning information generation template to obtain the target difference feature information corresponding to the water use abnormal type. The feature warning database includes the water use abnormal feature range corresponding to different abnormal warning information, and the terminal identifies the abnormal warning information corresponding to the water use abnormal feature through range adaptation.

[0045] Based on the above scheme, the abnormal warning information is generated through different water use abnormal features, which improves the warning effect of user warning for different users, and the adaptability and warning adaptability of the abnormal warning information.

[0046] Optionally, based on the water use trend information of the urban area and the stage water consumption information corresponding to each user client, the water use charging information corresponding to each user client and the new water consumption configuration information of the urban area are generated, including: based on the stage water consumption information corresponding to each user client, the water use charging information corresponding to each user client is calculated through a water consumption standard algorithm; based on the stage water consumption information corresponding to each user client, the stage water distribution information of the urban area is generated, and based on the water use trend information of the urban area and the stage water distribution information of the urban area, the water consumption change distribution information of the urban area is predicted; based on the water consumption change distribution information of the urban area, the new water consumption configuration information of the urban area is generated through a water consumption configuration strategy.

[0047] In this embodiment, the terminal calculates the water charge information for each user client based on the staged water consumption information corresponding to each user client using a standard water consumption algorithm. The terminal then generates staged water consumption distribution information for the city area based on the staged water consumption information corresponding to each user client. Furthermore, based on the water consumption trend information for the city area and the staged water consumption distribution information for the city area, the terminal predicts water consumption change distribution information for the city area. The water consumption change distribution information for the city area is the sub-water consumption trend information within the water consumption trend information, starting from the current moment and extending into the future.

[0048] Finally, the terminal generates new water consumption information for the city area based on the distribution of water usage changes within the city area and a water consumption allocation strategy. This water consumption allocation strategy is a formula that calculates the water consumption allocation range based on different water consumption information (a strategy preset by the staff in the terminal).

[0049] Based on the above scheme, by combining water consumption trend forecasts, new water consumption configuration information for urban areas is generated, thereby improving the control effect of urban water consumption.

[0050] Optionally, based on the new water consumption configuration information of the urban area and the water usage charge information corresponding to each user client, a water supply revenue report for the urban area is generated, including: collecting the payment information of each user terminal, and generating the payment revenue information of the urban area based on the payment information of each user terminal and the water usage charge information corresponding to each user terminal; generating the water use market change information of the urban area based on the new water consumption configuration information of the urban area and the water use change distribution information of the urban area; using the payment revenue information of the urban area and the water use market change information of the urban area as the water supply revenue report of the urban area.

[0051] In this embodiment, the terminal collects payment information from each user terminal and generates payment revenue information for the city area based on the payment information and the corresponding water usage charge information for each user terminal. The payment revenue information is a summary of payment timeliness rates, payment amounts, and overdue payment information for different areas.

[0052] Based on the new water consumption configuration information for the urban area and the water consumption change distribution information for the urban area, the terminal generates water market change information for the urban area. The water market change information includes information on changes in areas with high water consumption, information on changes in areas with low water consumption, information on distribution of areas with high water consumption change frequency, and information on distribution of areas with stable and balanced water consumption.

[0053] Finally, the terminal generates the water supply revenue report of the city area based on the payment revenue information of the city area and the water market change information of the city area.

[0054] Based on the above scheme, the water supply revenue report is generated from two aspects of payment revenue and water consumption duration change, thereby improving the information comprehensiveness of the water supply revenue report.

[0055] The present application also provides an intelligent control example of water supply revenue, as shown in FIG. 2, and the specific processing process includes the following steps: In step S201, the water distribution data corresponding to each water detection point in the city area and the historical water consumption information of each user client are obtained.

[0056] In step S202, the detection area identification information corresponding to each water detection point is identified, and based on the detection area identification information, the area water detection distribution information of each target area in the city area is identified through the area detection map.

[0057] In step S203, for each target area, the actual water distribution data corresponding to each user client in the target area is calculated based on the area water detection distribution information of the target area through the area water checking algorithm.

[0058] In step S204, the stage water consumption information corresponding to each user client is generated based on the actual water distribution data corresponding to each user client.

[0059] In step S205, for each user client, the historical water feature information of the user client is identified based on the historical water consumption information of the user client, and the current water feature information of the user client is identified based on the stage water consumption information corresponding to the user client.

[0060] In step S206, the difference feature information of the user client is identified based on the historical water feature information and the current water feature information through the feature similarity identification strategy, and the water anomaly information corresponding to the user client is identified based on the difference feature information of the user client through the difference water analysis strategy.

[0061] In step S207, the water consumption distribution information of the user client is generated based on the historical water consumption information of the user client and the stage water consumption information corresponding to the user client, and the water trend information of the user client is identified based on the water consumption distribution information of the user client through the linear trend identification network.

[0062] In step S208, for each user client, the water anomaly type of the user client and the water anomaly feature of the user client are identified based on the water anomaly information corresponding to the user client.

[0063] Step S209, based on the water use abnormal type of the user client and the water use abnormal feature of the user client, constructing a water use warning report of the user client through a warning information generation template.

[0064] Step S210, based on the stage water use information corresponding to each user client, calculating water use charge information corresponding to each user client through a water use amount standard algorithm.

[0065] Step S211, generating stage water use distribution information of the urban area based on the stage water use information corresponding to each user client, and predicting water use change amount distribution information of the urban area based on the water use trend information of the urban area and the stage water use distribution information of the urban area.

[0066] Step S212, generating new water use amount configuration information of the urban area through a water use amount configuration strategy based on the water use change amount distribution information of the urban area.

[0067] Step S213, collecting payment information of each user terminal, and generating payment revenue information of the urban area based on the payment information of each user terminal and the water use charge information corresponding to each user terminal.

[0068] Step S214, generating water use market change information of the urban area based on the new water use amount configuration information of the urban area and the water use change amount distribution information of the urban area.

[0069] Step S215, taking the payment revenue information of the urban area and the water use market change information of the urban area as a water supply revenue report of the urban area.

[0070] It should be understood that, although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless explicitly stated herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or steps or stages in other steps.

[0071] Based on the same inventive concept, the embodiments of the present application also provide a water supply revenue intelligent management and control device for implementing the water supply revenue intelligent management and control method described above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more water supply revenue intelligent management and control device embodiments provided below can refer to the limitations of the water supply revenue intelligent management and control method described above, which will not be described here.

[0072] In one exemplary embodiment, as shown in Figure 3 A water supply revenue intelligent management and control device is provided, comprising: an acquisition module 310, an identification module 320, and a generation module 330, wherein: The acquisition module 310 is configured to acquire water distribution data corresponding to each water detection point in a city area and historical water consumption information of each user client, and calculate stage water consumption information corresponding to each user client in the city area based on the water distribution data corresponding to each water detection point and through a water consumption algorithm. The identification module 320 is configured to identify water anomaly information of each user client and water trend information of the city area based on the historical water consumption information of each user client and the stage water consumption information corresponding to each user client, and generate a water warning report of each user client based on the water anomaly information of each user client. The generation module 330 is configured to generate water charging information corresponding to each user client and new water consumption configuration information of the city area based on the water trend information of the city area and the stage water consumption information corresponding to each user client, and generate a water supply revenue report of the city area based on the new water consumption configuration information of the city area and the water charging information corresponding to each user client.

[0073] Optionally, the acquisition module 301 is specifically configured to: Identify detection area identification information corresponding to each water detection point, and identify regional water detection distribution information of each target sub-area of the city area based on the detection area identification information. For each target sub-area, calculate actual water distribution data corresponding to each user client in the target sub-area based on the regional water detection distribution information of the target sub-area through a regional water checking algorithm. Generate stage water consumption information corresponding to each user client based on the actual water distribution data corresponding to each user client.

[0074] Optionally, the identification module 320 is specifically configured to: For each user client, historical water consumption feature information of the user client is identified based on historical water consumption information of the user client, and current water consumption feature information of the user client is identified based on stage water consumption information corresponding to the user client; Based on the historical water consumption feature information and the current water consumption feature information, difference feature information of the user client is identified through a feature similarity identification strategy, and water anomaly information corresponding to the user client is identified through a difference water consumption analysis strategy based on the difference feature information of the user client; Based on the historical water consumption information of the user client and the stage water consumption information corresponding to the user client, water consumption distribution information of the user client is generated, and water consumption trend information of the user client is identified through a linear trend identification network based on the water consumption distribution information of the user client.

[0075] Optionally, the identification module 320 is specifically configured to: For each user client, water anomaly types of the user client and water anomaly features of the user client are identified based on water anomaly information corresponding to the user client. Based on the water anomaly types of the user client and the water anomaly features of the user client, a water warning report of the user client is constructed through a warning information generation template.

[0076] Optionally, the generation module 330 is specifically configured to: Based on stage water consumption information corresponding to each user client, water consumption charging information corresponding to each user client is calculated through a water consumption amount standard algorithm; Based on the stage water consumption information corresponding to each user client, stage water distribution information of the urban area is generated, and water change amount distribution information of the urban area is predicted based on water trend information of the urban area and the stage water distribution information of the urban area; Based on the water change amount distribution information of the urban area, new water amount configuration information of the urban area is generated through a water consumption amount configuration strategy.

[0077] Optionally, the generation module 330 is specifically configured to: Payment information of each user terminal is collected, and payment revenue information of the urban area is generated based on the payment information of each user terminal and water consumption charging information corresponding to each user terminal; Based on the new water amount configuration information of the urban area and the water change amount distribution information of the urban area, water market change information of the urban area is generated; The payment revenue information of the urban area and the water market change information of the urban area are taken as the water supply revenue report of the urban area.

[0078] The modules in the intelligent management and control device for water supply revenue can be implemented by software, hardware, or a combination thereof. The modules can be embedded in or independent of the processor in the computer device in hardware form, or stored in the memory in the computer device in software form, so that the processor can call and execute the operations corresponding to the modules.

[0079] In an exemplary embodiment, a computer device, which can be a terminal, has an internal structure as shown in Figure 4 The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to perform wired or wireless communication with external terminals. The wireless communication can be achieved through WIFI, mobile cellular network, Near Field Communication (NFC), or other technologies. The computer program is executed by the processor to implement an intelligent management and control method for water supply revenue. The display unit of the computer device is configured to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball, or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0080] Those skilled in the art can understand that Figure 4 The structure shown in the above description is only a block diagram of part of the structure related to the scheme of the present application, and does not limit the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0081] In an exemplary embodiment, a computer device is provided, comprising a memory and a processor, the memory has a computer program stored therein, and the processor implements the steps corresponding to the intelligent management and control method of water supply revenue when executing the computer program.

[0082] In an embodiment, a computer readable storage medium is provided, having a computer program stored thereon, and the computer program implements the steps corresponding to the intelligent management and control method of water supply revenue when executed by a processor.

[0083] In an embodiment, a computer program product is provided, comprising a computer program, and the computer program implements the steps corresponding to the intelligent management and control method of water supply revenue when executed by a processor.

[0084] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations.

[0085] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., without being limited thereto.

[0086] The technical features of the above embodiments can be combined in any manner. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not exist contradictions, they should be considered as the scope of the present application.

[0087] The above-described embodiments are merely illustrative of several embodiments of the present application, and the description is relatively specific and detailed, but should not be understood as a limitation on the scope of the patent. It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of the present application. Therefore, the scope of protection of the present application should be subject to the appended claims.

Claims

1. An intelligent management and control method for water supply revenue, characterized in that: The method comprises: Obtaining water consumption distribution data corresponding to each water consumption detection point in the urban area and historical water consumption information of each user client, and calculating the stage water consumption information corresponding to each user client in the urban area based on the water consumption distribution data corresponding to each water consumption detection point using a water consumption algorithm; Based on the historical water consumption information of each user client and the stage water consumption information corresponding to each user client, identifying abnormal water consumption information of each user client and water consumption trend information of the urban area, and generating a water use warning report for each user client based on the abnormal water consumption information of each user client; Based on the water consumption trend information of the urban area and the stage water consumption information corresponding to each of the user clients, the water consumption charge information corresponding to each of the user clients and the new water consumption configuration information of the urban area are generated, and based on the new water consumption configuration information of the urban area and the water consumption charge information corresponding to each of the user clients, a water supply revenue report for the urban area is generated.

2. The method according to claim 1, characterized in that The step of calculating the stage water consumption information corresponding to each user client in the urban area based on the water consumption distribution data corresponding to each water consumption detection point by using a water consumption algorithm includes: Identify detection area identification information corresponding to each water use detection point, and based on each detection area identification information, identify regional water use detection distribution information of each sub-target area of ​​the urban area through a regional detection map; For each sub-target area, based on the regional water consumption detection distribution information of the sub-target area, the actual water consumption distribution data corresponding to each user client in the sub-target area is calculated by a regional water consumption verification algorithm; Based on the actual water consumption distribution data corresponding to each of the user clients, the stage water consumption information corresponding to each of the user clients is generated.

3. The method according to claim 1, characterized in that The identifying of abnormal water usage information of each user client and water usage trend information of the urban area based on the historical water usage information of each user client and the stage water usage information corresponding to each user client includes: For each user client, based on the historical water consumption information of the user client, identify the historical water consumption characteristic information of the user client, and based on the stage water consumption information corresponding to the user client, identify the current water consumption characteristic information of the user client; Based on the historical water usage characteristic information and the current water usage characteristic information, identifying the difference characteristic information of the user client through a feature similarity recognition strategy, and based on the difference characteristic information of the user client, identifying the water usage anomaly information corresponding to the user client through a difference water usage analysis strategy; Based on the historical water consumption information of the user client and the stage water consumption information corresponding to the user client, the water consumption distribution information of the user client is generated, and based on the water consumption distribution information of the user client, the water consumption trend information of the user client is identified through a linear trend recognition network.

4. The method according to claim 3, characterized in that The generating of a water usage warning report for each user client based on the water usage anomaly information of each user client includes: For each user client, based on the water usage anomaly information corresponding to the user client, identifying the water usage anomaly type and water usage anomaly characteristics of the user client; Based on the abnormal water usage type of the user client and the abnormal water usage characteristics of the user client, a water usage warning report of the user client is constructed by generating a template through warning information.

5. The method according to claim 1, wherein The generating of water charge information corresponding to each user client and new water consumption configuration information of the urban area based on the water consumption trend information of the urban area and the stage water consumption information corresponding to each user client includes: Based on the stage water consumption information corresponding to each user client, calculate the water charge information corresponding to each user client through a water consumption standard algorithm; Based on the stage water consumption information corresponding to each of the user clients, generating stage water consumption distribution information of the urban area, and based on the water consumption trend information of the urban area and the stage water consumption distribution information of the urban area, predicting the water consumption change distribution information of the urban area; Based on the water consumption change distribution information of the urban area, new water consumption configuration information of the urban area is generated through a water consumption configuration strategy.

6. The method according to claim 1, characterized in that The generating of a water supply revenue report for the urban area based on the new water consumption configuration information of the urban area and the water charge information corresponding to each of the user clients includes: Collecting payment information of each user terminal, and generating payment revenue information of the urban area based on the payment information of each user terminal and water usage charge information corresponding to each user terminal; generating water market change information for the urban area based on the new water consumption configuration information for the urban area and the water consumption change distribution information for the urban area; The payment revenue information of the urban area and the water use market change information of the urban area are used as the water supply revenue report of the urban area.

7. An intelligent control device for water supply revenue, characterized in that: The device comprises: An acquisition module is configured to obtain water consumption distribution data corresponding to each water consumption detection point in an urban area and historical water consumption information of each user client, and calculate the stage water consumption information corresponding to each user client in the urban area based on the water consumption distribution data corresponding to each water consumption detection point using a water consumption algorithm; an identification module configured to identify abnormal water usage information of each user client and water usage trend information of the urban area based on the historical water usage information of each user client and the stage water usage information corresponding to each user client, and generate a water usage warning report for each user client based on the abnormal water usage information of each user client; A generation module is used to generate water charge information corresponding to each user client and new water consumption configuration information of the urban area based on the water consumption trend information of the urban area and the stage water consumption information corresponding to each user client, and generate a water supply revenue report for the urban area based on the new water consumption configuration information of the urban area and the water charge information corresponding to each user client.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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