Smart Water Management Platform

Abstract

The present invention discloses a smart water management platform, which includes an auxiliary dispatching system, a geographic information system, a business charging system, a dispatching office system and a big data visualization intelligent decision-making analysis system. The present invention obtains and displays the real-time data of the monitoring points on the pipe network based on the auxiliary dispatching system through the geographic information system, and performs data monitoring in combination with the upper and lower limit warning values ​​corresponding to the real-time data of the monitoring points. The business charging system establishes the archive management information of the urban water supply users based on the auxiliary dispatching system, and the auxiliary dispatching system shares the water consumption information of the urban water supply users with the business charging system. The dispatching office system obtains the monitoring data of each monitoring point on the pipe network and the operating status of the water plant equipment corresponding to the monitoring point based on the auxiliary dispatching system, and then performs intelligent control on the operating status of the water plant equipment according to the preset dispatching scheme, so as to realize the integrated smart water management platform of sharing, co-construction, co-existence and co-knowledge, and meet the development needs of smart cities.

Description

Technical Field

[0001] The present invention relates to the technical field of water management, and in particular to a smart water management platform. Background Art

[0002] Smart water services are an important branch of smart cities and an inevitable trend in the development of the water industry. At present, the development of smart water services in my country is still in the stage of conceptual digestion and multi-faceted trials.

[0003] The water affairs data in a large area is very complex and huge. At the same time, the water affairs data is distributed in different sub-areas, including complex and diverse data forms such as real-time, non-real-time, valid and invalid. This has brought great difficulties to the design of the smart water affairs information platform; at the same time, since the current smart water affairs application is still in the exploratory stage, there are uncertain factors in data demand, which also puts forward higher requirements on the water affairs data model framework.

[0004] Therefore, how to effectively centralize and integrate the water affairs data of each sub-region and solve the large amount and complexity of water affairs data is an urgent problem to be solved. Summary of the invention

[0005] Based on this, the purpose of the present invention is to provide a smart water management platform that integrates traditional water conservancy with modern information technology to effectively improve the efficiency of water management.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is: a smart water management platform, which includes an auxiliary dispatching system, a geographic information system, a business charging system, a dispatching office system and a big data visualization intelligent decision-making analysis system. The geographic information system, the business charging system, the dispatching office system and the big data visualization intelligent decision-making analysis system are respectively connected to the auxiliary dispatching system. The auxiliary dispatching system includes an Internet of Things perception layer and a data acquisition layer. The Internet of Things perception layer is used to connect with external Internet of Things devices. The data acquisition layer communicates with the Internet of Things devices in real time through the Internet of Things perception layer, and is used to collect and / or upload device data information of the Internet of Things devices, and send the collected device data information of the Internet of Things devices to the geographic information system. The auxiliary dispatching system is used to share the management information system, business charging system, dispatching office system and big data visualization intelligent decision-making analysis system; the geographic information system is used to obtain and display the real-time data of the monitoring points on the pipe network based on the auxiliary dispatching system, and to monitor the data in combination with the upper and lower warning values ​​corresponding to the real-time data of the monitoring points; the business charging system is used to establish the file management information of the urban water supply users based on the auxiliary dispatching system, and the auxiliary dispatching system shares the water consumption information of the urban water supply users with the business charging system; the dispatching office system is used to obtain the monitoring data of each monitoring point on the pipe network and the operating status of the water plant equipment corresponding to the monitoring point based on the auxiliary dispatching system, and control the operating status of the water plant equipment according to the preset dispatching plan.

[0007] In one embodiment, when a pipe burst fault occurs in a main pipeline network, a method for obtaining a pipe burst point corresponding to the pipe burst fault in the main pipeline network by using a big data visualization intelligent decision analysis system includes the following steps:

[0008] Step S101: Obtain the first time point t at which the flow velocity corresponding to each monitoring point in the trunk pipe network changes 0 ; The change in flow rate refers to the first time point t 0 As the starting point, the water flow velocity changes within the preset time period △t and exceeds the flow velocity change threshold;

[0009] Step S102: Obtain the second time point t at which the flow velocity corresponding to each monitoring point in the trunk pipe network is stable a ,t b ,t c and the stable flow velocity v corresponding to each monitoring point in the trunk network a 、v b 、v c ; Flow rate stability refers to the flow rate change within the preset time period △t not exceeding the flow rate change threshold value starting from the second time point;

[0010] Step S103: Obtain the impact factor k corresponding to each monitoring point in the trunk pipeline network a , k b , kc , where the influencing factor is the external condition that affects the water flow velocity in the main pipe network, 0<k a ≤1,0<k b ≤1,0<k c ≤1;

[0011] Step S104: Obtain the distance s between each monitoring point in the trunk pipe network and the pipe burst point a 、s b 、s c ; Among them, s a =v a *(t a -t 0 )*k a ,s b =v b *(t b -t 0 )*k b ,s c =v c *(t c -t 0 )*k c .

[0012] In one embodiment, the auxiliary scheduling system also includes a data monitoring layer, which includes a pipe network list monitoring module, a secondary water supply scheduling module, a water plant auxiliary scheduling module and a video monitoring module. The pipe network list monitoring module is used to display the real-time data of the monitoring points in the pipe network. The secondary water supply scheduling module is used to mark the real-time data collected by the data collection layer for each monitoring point on the water supply map based on the geographic information system. The water plant auxiliary scheduling module is used to obtain the real-time data and historical data of each functional component in each water plant according to the collected data of the data collection layer. The video monitoring module is used to obtain real-time video images of each monitoring point and display them on the display screen.

[0013] In one of the embodiments, the pipe network list monitoring module includes a marking unit and an alarm unit. The marking unit is used to compare the real-time data of each terminal device with the standard range of each terminal device, and to mark the display of the real-time data of each terminal device on the display screen as normal and the degree of abnormality; the alarm unit is used to display an alarm on the display screen in the form of a pop-up window when the real-time data of a terminal device exceeds the standard range corresponding to the terminal device.

[0014] In one embodiment, the secondary water supply scheduling module includes an abnormal prompt unit, which is used to compare the real-time data marked by the monitoring point with the preset threshold range corresponding to the monitoring point, and / or monitor the water pump power of each monitoring point. When the real-time data marked by the monitoring point exceeds the preset threshold range corresponding to the monitoring point and / or the power of all water pumps at the monitoring point is zero, the abnormality is displayed on the display screen in the form of a pop-up window.

[0015] In one of the embodiments, the geographic information system includes a monitoring point editing module, and the monitoring point editing module is used to add, move or delete monitoring points on the water supply map.

[0016] In one embodiment, the business charging system includes a user management module, a meter reading management module, a charging management module and an invoice management module. The user management module is used for user information query, new user registration, fee deduction, and user water meter replacement registration operations. The meter reading management module is used for water meter reading, review, query, and statistical operations on urban water supply users. The charging management module is used to count the water use information of urban water supply users and obtain the payment information status of urban water supply users; the invoice management module is used to manage invoices based on the payment information of urban water supply users obtained by the charging management module.

[0017] In one embodiment, the scheduling office system includes a plan management module and a pipeline flushing module. The plan management module is used to make a preset scheduling plan. The operator sends the preset scheduling plan to the control console, and then the control console controls the water pump operation status of each monitoring point according to the preset scheduling plan; the pipeline flushing module obtains the pipeline information to be flushed in the pipeline network according to the preset flushing pipeline information, and controls the water pump operation status corresponding to the pipeline to be flushed.

[0018] In one of the embodiments, the smart water management platform also includes an energy consumption management system, which is connected to the auxiliary scheduling system. The energy consumption management system is used to obtain the flow rate and water pump power consumption data of the monitoring point based on the auxiliary scheduling system, and perform efficiency evaluation on the pump station power consumption and water pump power consumption corresponding to the monitoring point, and obtain the energy consumption status information of the pump station and water pump corresponding to the monitoring point.

[0019] In one embodiment, the smart water management platform also includes a leakage management system, which is connected to the auxiliary scheduling system. The leakage management system is used to obtain flow data of the monitoring point based on the auxiliary scheduling system, and control the water pump status corresponding to the monitoring point using the scheduling office system based on the DMA metering method.

[0020] To summarize, the smart water management platform of the present invention obtains and displays the real-time data of the monitoring points on the pipe network based on the auxiliary dispatching system through the geographic information system, and performs data monitoring in combination with the upper and lower warning values ​​corresponding to the real-time data of the monitoring points. The business charging system establishes file management information of urban water supply users based on the auxiliary dispatching system, and the auxiliary dispatching system shares the water consumption information of urban water supply users with the business charging system. The dispatching office system obtains the monitoring data of each monitoring point on the pipe network and the operating status of the water plant equipment corresponding to the monitoring points based on the auxiliary dispatching system, and then performs intelligent control of the operating status of the water plant equipment according to the preset dispatching plan, thereby realizing an integrated smart water management platform of sharing, co-construction, co-existence and co-knowledge to meet the development needs of smart cities. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 The principle framework diagram of a smart water management platform of the present invention;

[0022] Figure 2 It is a principle framework diagram of the auxiliary dispatching system of the present invention;

[0023] Figure 3 This is a principle framework diagram of the data monitoring layer of the present invention;

[0024] Figure 4 This is a principle framework diagram of the pipe network list monitoring module of the present invention;

[0025] Figure 5 This is a principle framework diagram of the secondary water supply scheduling module of the present invention;

[0026] Figure 6 It is the principle framework diagram of the geographic information system of the present invention;

[0027] Figure 7 This is a principle framework diagram of the business charging system of the present invention;

[0028] Figure 8 This is a principle framework diagram of another embodiment of the smart water management platform of the present invention;

[0029] Fig. 9 It is a display schematic diagram of the data monitoring layer of the present invention;

[0030] Fig.10 This is a schematic diagram of the principle of a pipe burst failure in the main pipeline network. DETAILED DESCRIPTION

[0031] In order to further understand the features, technical means, specific objectives and functions of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0032] like Figures 1 to 5As shown, a smart water management platform of the present invention includes an auxiliary dispatching system 100, a geographic information system 200, a business charging system 300, a dispatching office system 400 and a big data visualization intelligent decision-making analysis system 500. The geographic information system 200, the business charging system 300, the dispatching office system 400 and the big data visualization intelligent decision-making analysis system 500 are respectively connected to the auxiliary dispatching system 100. The auxiliary dispatching system 100 is the core of the smart water management platform and can be combined with the geographic information system 200, the business charging system 300, the dispatching office system 400 and the big data visualization intelligent decision-making analysis system 500 to realize the integration and modernization of the smart water management platform and meet the development needs of smart cities.

[0033] The auxiliary dispatching system 100 includes an IoT sensing layer 110, a data collection layer 120, a data processing layer 140, a data monitoring layer 130 and a data analysis and presentation layer 150. The IoT sensing layer 110 is used to connect with external IoT devices to facilitate the acquisition of device data information of IoT devices, wherein IoT devices include but are not limited to pressure gauges, flow meters, water quality measuring instruments, water plants, pumping stations, well groups, secondary water supply pumping stations, and field pumps, valves and other actuators, cameras, etc. in the pipeline network. The device information includes parameter data information of IoT devices and data information of IoT devices during operation; the data collection layer 120 communicates with IoT devices in real time through the IoT sensing layer 110, and is used to collect and / or upload device data information of IoT devices, and send the collected device data information of IoT devices to the geographic information system 200, the business charging system 300, the dispatching office system 400 and the big data visualization intelligent decision analysis system 50. 0 for sharing; specifically, the equipment data information includes the pressure, flow, water quality and other data of important nodes in the pipe network, the pressure, flow, water quality, electric energy, switch status, on-site video captured by the camera and other data of water plants, pump stations, well groups and secondary water supply pump stations, as well as the remote control data of on-site pumps, valves and other actuators; the data processing layer 140 is used to receive the collected data uploaded by the data acquisition layer 120 and analyze, process and publish it. The data processing layer 140 can save the relevant data to the database for the auxiliary dispatching system 100 to call at any time; the data monitoring layer 130 is used to monitor the data processed by the data processing layer 140 to obtain the working status of the entire auxiliary dispatching system 100 in real time; the data analysis and presentation layer 150 is used to facilitate the operator to control the auxiliary dispatching system 100 through the console and the display screen, wherein the display screen can display the working interface of the auxiliary dispatching system 100, such as Fig. 9 shown.

[0034] Among them, the data monitoring layer 130 includes a pipe network list monitoring module 131, a secondary water supply scheduling module 132, a water plant auxiliary scheduling module 133 and a video monitoring module 134. The pipe network list monitoring module 131 is used to display the real-time data of the monitoring points in the pipe network. Each monitoring point corresponds to a terminal device installed in the pipe network. The real-time data can be displayed in a detailed list or a flat list. Specifically, the pipe network list monitoring module 131 can classify and display various types of monitoring points, and the types of classified display include pressure, flow, water quality, etc.

[0035] The pipe network list monitoring module 131 includes a marking unit 1311, which is used to compare the real-time data of each terminal device with the standard range of each terminal device, and mark the normal and abnormal degree of the real-time data of each terminal device on the display screen. The normal mark can be set to green, and the abnormal degree mark can be set to common colors such as red and yellow, or it can be set to other colors as needed. Red indicates that the real-time data exceeds the standard range to a large extent, yellow indicates that the real-time data exceeds the standard range to a small extent, and green indicates that the real-time data is within the standard range.

[0036] The pipe network list monitoring module 131 also includes an alarm unit 1312, which is used to display an alarm on the display screen in the form of a pop-up window when the real-time data of a terminal device exceeds the standard range corresponding to the terminal device, so as to prompt that there is an abnormality in the real-time data of the terminal device.

[0037] The secondary water supply scheduling module 132 is used to mark the real-time data collected by the data collection layer 120 for each monitoring point on the water supply map based on the geographic information system 200. The real-time data includes the water level of the clear water tank of each pump station, the power of the water pump, the switch of the water pump, the flow of the water pump, the pump station outlet pressure and flow and other data. The operator can control the water supply scheduling of each pump station through the console according to the marked data of each monitoring point on the water supply map to achieve the management and operation effect of smart water affairs; the water supply map can be set using map software including Baidu Map, Amap, Google Map, etc.

[0038] The secondary water supply scheduling module 132 includes an abnormal prompt unit 1321, which is used to compare the real-time data marked by the monitoring point with the preset threshold range corresponding to the monitoring point, and / or monitor the water pump power of each monitoring point. When the real-time data marked by the monitoring point exceeds the preset threshold range corresponding to the monitoring point and / or the power of all water pumps at the monitoring point is zero, the abnormality is displayed on the display screen in the form of a pop-up window to prompt that there is an abnormality in the real-time data marked by the monitoring point and / or the water pump power.

[0039] The secondary water supply scheduling module 132 also includes a voice prompt unit 1322, which is used to prompt the operator of the abnormal status of the monitoring point through voice broadcast when the abnormal prompt unit 1321 displays the abnormality on the display screen in the form of a pop-up window. The content sequence of the voice broadcast can be set to [water plant / pump station name + alarm type]. The alarm type can be divided into two types: the real-time data marked at the monitoring point exceeds the preset threshold range corresponding to the monitoring point, and the power of all water pumps at the monitoring point is zero.

[0040] The water plant auxiliary scheduling module 133 is used to obtain the real-time data and historical data of each functional component in each water plant according to the collected data of the data acquisition layer 120, wherein the data types collected by the data acquisition layer 120 for each functional component in the water plant include the cumulative flow of inlet water, chlorine dioxide concentration, pH value of the clean water tank, sludge pump status, backwash status, clean water tank level, recovery tank level, filter tank level, driving status, alkali addition flow, alum addition amount, cumulative outlet flow, etc. The real-time data and historical data of the data types collected by the data acquisition layer 120 for each functional component in the water plant can be displayed on the display screen through a data list or a data curve chart. The operator can control the water supply scheduling of each water plant through the console according to the real-time data and historical data of each functional component in each water plant, so as to achieve the management and operation effect of smart water affairs.

[0041] The video monitoring module 134 is used to obtain real-time video images of each monitoring point and display them on the display screen. The number of windows of the real-time video images corresponding to the monitoring points displayed on the display screen by the video monitoring module 134 can be 1*1, 2*2, 3*3, 4*4, 5*5, and 6*6. The operator can obtain important information such as the camera IP, port, channel number, camera name, and serial number corresponding to each monitoring point through the window information of the real-time video image corresponding to the monitoring point. Among them, the camera name refers to the location of the water plant where the monitoring point is located, and the camera serial number refers to the sorting number corresponding to the camera existing at the monitoring point.

[0042] like Figure 6 As shown, the geographic information system 200 is used to obtain and display the real-time data of the monitoring points on the pipe network based on the auxiliary dispatching system 100, and to monitor the data in combination with the upper and lower warning values ​​corresponding to the real-time data of the monitoring points, so as to achieve the purpose of real-time warning, and then to achieve the purpose of discovering faults, dispatching and repairing faults in the first time; the geographic information system 200 displays the pipe network structure of the water management platform and the real-time monitoring data of the Internet of Things equipment, and then cooperates with the pipe network layer to more vividly and conveniently display the data in real time, alarm abnormalities, and dispatch management.

[0043] Specifically, the geographic information system 200 includes a monitoring point editing module 210, which is used to add, move or delete monitoring points on the water supply map; specifically, the monitoring point editing module 210 compares the site information on the water supply map with the site information in the database, obtains the site information that exists in the database but does not exist on the water supply map, that is, the monitoring point information, and then inputs the monitoring point information corresponding to the site to the corresponding position on the water supply map according to the coordinate values ​​of each site information; when it is necessary to move the site position on the water supply map, the coordinate information corresponding to the site is modified to achieve the movement of the site position, so as to improve the accuracy of the monitoring point data on the water supply map; the monitoring point deletion module compares the site information on the water supply map with the site information in the database, obtains the site information that exists in the database but does not exist on the water supply map, that is, the monitoring point information, and then deletes the monitoring point information corresponding to the site from the corresponding position on the water supply map according to the coordinate values ​​of each site information.

[0044] In one embodiment, the geographic information system 200 also includes a monitoring point search module 220, which stores data information of each monitoring point on the water supply map. The operator can use the monitoring point search module 220 to obtain data information of the monitoring point to be searched through search conditions, wherein the search conditions may be the monitoring point name, type, site type, etc.

[0045] In one embodiment, the geographic information system 200 also includes a monitoring point display module 230, which is used to display the data information of the monitoring point on the water supply map, wherein the data information of the monitoring point includes the data symbol corresponding to the monitoring point and the real-time data of the monitoring point, and the data symbol corresponding to the monitoring point can be set in advance.

[0046] The business charging system 300 is used to establish file management information of urban water supply users based on the auxiliary scheduling system 100, and the auxiliary scheduling system 100 then shares the water consumption information of urban water supply users with the business charging system 300; wherein, the file management information of urban water supply users includes meter management, meter reading, tiered billing, charging, bank collection, deduction, online banking, mobile banking payment, bill printing, financial statistics, report query and analysis, etc. Through the above-mentioned file management information in conjunction with online payment methods such as WeChat and Alipay, it brings great convenience and good operating experience to urban water supply users, realizes the integration and modernization requirements of the smart water management platform, and meets the development needs of smart cities.

[0047] The auxiliary dispatching system 100 sends the water consumption information of the urban water supply users to the business charging system 300, and the business charging system 300 settles the water charges of the urban water supply users according to the current water price. This is a known technology and need not be elaborated here.

[0048] like Figure 7 As shown, in one embodiment, the business charging system 300 includes a user management module 310, a meter reading management module 320, a charging management module 330 and an invoice management module 340. The user management module 310 is used for operations such as user information query, new user registration, fee deduction, and user water meter replacement registration. The meter reading management module 320 is used for water meter reading, review, query, and statistics of urban water supply users. The charging management module 330 is used to count the water use information of urban water supply users and obtain the payment information status of urban water supply users, such as arrears, prepayment, and other payment information status; the invoice management module 340 is used to manage invoices based on the payment information of urban water supply users obtained by the charging management module 330.

[0049] The dispatching office system 400 is used to obtain the monitoring data of each monitoring point on the pipeline network and the operating status of the water plant equipment corresponding to the monitoring point based on the auxiliary dispatching system 100, and then intelligently control the operating status of water plant equipment such as pumps and valves according to the preset dispatching plan, to realize an integrated smart water management platform of sharing, co-construction, co-existence and co-knowledge, and meet the development needs of smart cities.

[0050] Specifically, the scheduling office system 400 includes a scheme management module, which is used to make a preset scheduling scheme. The operator sends the preset scheduling scheme to the console, and the console controls the operation status of the water pumps at each monitoring point according to the preset scheduling scheme, thereby meeting the water supply needs of users.

[0051] The dispatching office system 400 also includes a pipeline flushing module, which obtains pipeline information to be flushed in the pipeline network according to preset flushing pipeline information, and controls the operating status of the water pump corresponding to the pipeline to be flushed, thereby realizing the cleaning operation of the pipeline, realizing the integration and modernization of the smart water management platform, and meeting the development needs of the smart city.

[0052] The big data visualization intelligent decision-making analysis system 500 analyzes and summarizes the equipment data information of the Internet of Things devices through the pipeline water conservancy analysis model, water quality model algorithm and ETL data extraction algorithm, thereby providing a large amount of data support for the big data special analysis function of the big data visualization intelligent decision-making analysis system, making data viewing more efficient, data analysis more intelligent, and data management simpler, thereby cooperating with the auxiliary scheduling system 100, the geographic information system 200, the business charging system 300, and the scheduling office system 400 to realize an integrated smart water management platform of sharing, co-construction, symbiosis, and co-knowledge to meet the development needs of smart cities; among them, the pipeline water conservancy analysis model, water quality model algorithm and ETL data extraction algorithm are known technologies and need not be elaborated here.

[0053] Specifically, Fig.10 As shown, taking the failure of the trunk pipeline in the pipeline network as an example, a first pressure flowmeter is set at one end of the trunk pipeline, which is recorded as monitoring point A; a third pressure flowmeter is set at the other end of the trunk pipeline, which is recorded as monitoring point C; a branch pipe is set between monitoring point A and monitoring point B in the trunk pipeline, which is recorded as monitoring point B; when a pipe burst occurs in the trunk pipeline, a method for obtaining a pipe burst point corresponding to the pipe burst in the trunk pipeline by using a big data visualization intelligent decision analysis system includes the following steps:

[0054] Step S101: Obtain the first time point t at which the flow velocity corresponding to each monitoring point in the trunk pipe network changes 0 ; Multiple pressure flow meters are preset at intervals on the main pipeline network to monitor the pressure value and flow rate value corresponding to each monitoring point on the main pipeline network; when a pipe burst occurs in the main pipeline network, the pressure data corresponding to the monitoring point A near the water inlet on the side of the pipe burst point will drop significantly, thereby significantly increasing the flow rate data corresponding to the monitoring point A near the water inlet on the side of the pipe burst point; at the same time, the pressure value and flow rate value corresponding to the monitoring point B or the monitoring point C far from the water inlet on the other side of the pipe burst point will drop significantly, so the time when the flow rate changes at the monitoring point A or the monitoring point B / C is defined as t 0 In this embodiment, the change in flow rate refers to the first time point t 0 is the starting point, and the water flow velocity change exceeds the flow velocity change threshold within the preset time period △t.

[0055] Step S102: Obtain the second time point t at which the flow velocity corresponding to each monitoring point in the trunk pipe network is stable a ,t b ,t c and the stable flow velocity v corresponding to each monitoring point in the trunk network a 、v b 、v cIn this embodiment, the flow rate stability refers to the flow rate change of the water flow within the preset time period △t not exceeding the flow rate change threshold value starting from the second time point; the stable flow rate v corresponding to each monitoring point in the trunk network a 、v b 、v c It refers to the water flow velocity monitored at each monitoring point before a pipe burst occurs in the main pipeline network. This is the known data monitored by each monitoring point and there is no need to elaborate on it here.

[0056] Step S103: Obtain the impact factor k corresponding to each monitoring point in the trunk pipeline network a , k b , k c , where the influencing factors are the external conditions that affect the water flow rate in the main pipe network, such as pressure conditions, pipe material, number of valves, etc., 0<k a ≤1,0<k b ≤1,0<k c ≤1.

[0057] Step S104: Obtain the distance s between each monitoring point in the trunk pipe network and the pipe burst point a 、s b 、s c , thereby achieving accurate positioning of the burst point; among them, s a =v a *(t a -t 0 )*k a ,s b =v b *(t b -t 0 )*k b ,s c =v c *(t c -t 0 )*k c ,Since the positions of each monitoring point in the trunk pipeline network are pre-set known positions, after obtaining the specific distance between the burst point and each monitoring point in the trunk pipeline network, the specific location of the burst point can be effectively known.

[0058] In one embodiment, the method of step S103 specifically includes the following steps:

[0059] Step S1031: Establish a database to obtain the estimated distance s corresponding to each monitoring point on the main pipeline network from the burst point a '=v a *(t a -t 0 )*k a ,s b '=v b*(t b -t 0 )*k b ,s c '=v c *(t c -t 0 )*k c The actual distance s between each monitoring point of the main pipeline network and the burst point a ”、s b ”、s c "; Among them, the actual distances corresponding to the pipe burst points from each monitoring point of the trunk pipe network are obtained through actual on-site measurement;

[0060] Step S1032: determine whether the estimated distances from each monitoring point on the main pipeline network to the burst point are equal to the actual distances. If so, the influence factors k corresponding to each monitoring point on the main pipeline network are a , k b , k c are all 1, the impact factor has little effect on the calculation of the distance between each monitoring point on the trunk pipeline network and the burst point; if not, the impact factor k corresponding to each monitoring point on the trunk pipeline network a , k b , k c Satisfy k respectively a =s a ” / s a ', k b =s b ” / s b ', k c =s c ” / s c '.

[0061] like Figure 8 As shown, in one embodiment, the smart water management platform also includes an energy consumption management system 600, and the energy consumption management system 600 is connected to the auxiliary scheduling system 100. The energy consumption management system 600 is used to obtain the flow rate and water pump power consumption data of the monitoring point based on the auxiliary scheduling system 100, and perform efficiency evaluation on the pump station power consumption and water pump power consumption corresponding to the monitoring point, and obtain the energy consumption status information of the pump station and water pump corresponding to the monitoring point, so as to realize the integration and modernization of the smart water management platform and meet the development needs of smart cities.

[0062] In one embodiment, the smart water management platform also includes a pipe network inspection system 700, which is connected to the auxiliary dispatching system 100. The pipe network inspection system 700 implements the management and operation of valve equipment, water meter box equipment, pipeline equipment, and fire hydrant equipment at each monitoring point through inspectors, and sends the management and operation information to the auxiliary dispatching system 100 for storage, thereby realizing the integration and modernization of the smart water management platform and meeting the development needs of smart cities.

[0063] In one embodiment, the smart water management platform also includes a leakage management system 800, which is connected to the auxiliary scheduling system 100. The leakage management system 800 is used to obtain the flow data of the monitoring point based on the auxiliary scheduling system 100, and based on the DMA metering method, use the scheduling office system 400 to control the water pump status corresponding to the monitoring point, so as to achieve the effect of effective scheduling and control of the water pump pressure of the predetermined pipeline network, and then timely monitor and manage the leakage status of the pipeline network, realize the integration and modernization of the smart water management platform, and meet the development needs of smart cities.

[0064] When the present invention is used, the data collection layer 120 of the auxiliary dispatching system 100 provides the collected data to the geographic information system 200, the business charging system 300, the dispatching office system 400, the intelligent analysis system 500, the energy consumption management system 600, the pipe network inspection system 700 and the leakage management system 800, and displays each system on the display screen. The operator can control the auxiliary dispatching system 100, the geographic information system 200, the business charging system 300, the dispatching office system 400, the intelligent analysis system 500, the energy consumption management system 600, the pipe network inspection system 700 and the leakage management system 800 through the console. The data information of each monitoring point is obtained, wherein the geographic information system 200 obtains the real-time data of the monitoring points on the pipe network based on the auxiliary dispatching system 100 and displays it, the business charging system 300 establishes the file management information of the urban water supply users based on the auxiliary dispatching system 100, the auxiliary dispatching system 100 sends the water consumption information of the urban water supply users to the business charging system 300, and the dispatching office system 400 obtains the water pump operation status of each monitoring point based on the auxiliary dispatching system 100, and controls the water pump operation status of the monitoring point according to the preset dispatching plan, so as to realize the integration and modernization of the smart water management platform and meet the development needs of smart cities.

[0065] In summary, the smart water management platform of the present invention connects the auxiliary dispatching system 100 with the geographic information system 200, the business charging system 300, the dispatching office system 400 and the big data visualization intelligent decision-making analysis system 500 respectively. The geographic information system 200 obtains and displays the real-time data of the monitoring points on the pipe network based on the auxiliary dispatching system 100, and performs data monitoring in combination with the upper and lower limit warning values ​​corresponding to the real-time data of the monitoring points. The business charging system 300 establishes file management information of urban water supply users based on the auxiliary dispatching system 100. The auxiliary dispatching system 100 shares the water consumption information of urban water supply users with the business charging system 300. The dispatching office system 400 obtains the monitoring data of each monitoring point on the pipe network and the operating status of the water plant equipment corresponding to the monitoring point based on the auxiliary dispatching system 100, and then intelligently controls the operating status of water plant equipment such as pumps and valves according to the preset dispatching plan, thereby realizing an integrated smart water management platform of sharing, co-construction, symbiosis and co-knowledge to meet the development needs of smart cities.

[0066] The above-described embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the present invention. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the attached claims.

Claims

1. A smart water management platform, characterized by: It includes an auxiliary dispatching system, a geographic information system, a business charging system, a dispatching office system and a big data visualization intelligent decision-making analysis system. The geographic information system, the business charging system, the dispatching office system and the big data visualization intelligent decision-making analysis system are respectively connected to the auxiliary dispatching system. The auxiliary dispatching system includes an Internet of Things perception layer and a data acquisition layer. The Internet of Things perception layer is used to connect with external Internet of Things devices. The data acquisition layer communicates with the Internet of Things devices in real time through the Internet of Things perception layer, and is used to collect and / or upload device data information of the Internet of Things devices, and send the collected device data information of the Internet of Things devices to the geographic information system, the business charging system, the dispatching office system and the big data visualization intelligent decision-making analysis system. The system and the big data visualization intelligent decision-making analysis system are shared; the geographic information system is used to obtain and display the real-time data of the monitoring points on the pipe network based on the auxiliary dispatching system, and to monitor the data in combination with the upper and lower limit warning values ​​corresponding to the real-time data of the monitoring points; the business charging system is used to establish the archive management information of the urban water supply users based on the auxiliary dispatching system, and the auxiliary dispatching system shares the water consumption information of the urban water supply users with the business charging system; the dispatching office system is used to obtain the monitoring data of each monitoring point on the pipe network and the operating status of the water plant equipment corresponding to the monitoring point based on the auxiliary dispatching system, and control the operating status of the water plant equipment according to the preset dispatching plan; Among them, when a pipe burst fault occurs in the main pipeline network, a method for obtaining a pipe burst point corresponding to the pipe burst fault in the main pipeline network by using a big data visualization intelligent decision analysis system includes the following steps: Step S101, obtaining the first time point t0 at which the flow velocity corresponding to each monitoring point in the trunk pipe network changes; the flow velocity change refers to the change of the water flow velocity exceeding the flow velocity change threshold within a preset time period △t with the first time point t0 as the starting point; Step S102: Obtain the second time point t at which the flow velocity corresponding to each monitoring point in the trunk pipe network is stable a ,t b ,t c and the stable flow velocity v corresponding to each monitoring point in the trunk network a 、v b 、v c ; Flow rate stability refers to the flow rate change within the preset time period △t not exceeding the flow rate change threshold value starting from the second time point; Step S103: Obtain the impact factor k corresponding to each monitoring point in the trunk pipeline network a , k b , k c , where the influencing factor is the external condition that affects the water flow velocity in the main pipe network, 0<k a ≤1,0<k b ≤1,0<k c ≤1; Step S104: Obtain the distance s between each monitoring point in the trunk pipe network and the pipe burst point a 、s b 、s c ; Among them, s a =v a *(t a -t0)*k a ,s b =v b *(t b -t0)*k b ,s c =v c *(t c -t0)*k c .

2. The smart water management platform according to claim 1, characterized in that: The auxiliary scheduling system also includes a data monitoring layer, which includes a pipe network list monitoring module, a secondary water supply scheduling module, a water plant auxiliary scheduling module and a video monitoring module. The pipe network list monitoring module is used to display the real-time data of the monitoring points in the pipe network. The secondary water supply scheduling module is used to mark the real-time data collected by the data acquisition layer for each monitoring point on the water supply map based on the geographic information system. The water plant auxiliary scheduling module is used to obtain the real-time data and historical data of each functional component in each water plant according to the collected data of the data acquisition layer. The video monitoring module is used to obtain the real-time video image of each monitoring point and display it on the display screen.

3. The smart water management platform according to claim 2, characterized in that: The pipeline network list monitoring module includes a marking unit and an alarm unit. The marking unit is used to compare the real-time data of each terminal device with the standard range of each terminal device, and to mark the normal and abnormal degree of the real-time data of each terminal device on the display screen; the alarm unit is used to display an alarm on the display screen in the form of a pop-up window when the real-time data of a terminal device exceeds the standard range corresponding to the terminal device.

4. The smart water management platform according to claim 2, characterized in that: The secondary water supply scheduling module includes an abnormal prompt unit, which is used to compare the real-time data marked by the monitoring point with the preset threshold range corresponding to the monitoring point, and / or monitor the water pump power of each monitoring point. When the real-time data marked by the monitoring point exceeds the preset threshold range corresponding to the monitoring point and / or the power of all water pumps at the monitoring point is zero, the abnormality is displayed on the display screen in the form of a pop-up window.

5. The smart water management platform according to claim 1, characterized in that: The geographic information system comprises a monitoring point editing module, and the monitoring point editing module is used to add, move or delete monitoring points on the water supply map.

6. The smart water management platform according to claim 1, characterized in that: The business charging system includes a user management module, a meter reading management module, a charging management module and an invoice management module. The user management module is used for user information query, new user registration, fee deduction, and user water meter replacement registration operations. The meter reading management module is used for water meter reading, review, query, and statistical operations on urban water supply users. The charging management module is used to count the water use information of urban water supply users and obtain the payment information status of urban water supply users; the invoice management module is used to manage invoices based on the payment information of urban water supply users obtained by the charging management module.

7. The smart water management platform according to claim 1, characterized in that: The scheduling office system includes a scheme management module and a pipeline flushing module. The scheme management module is used to make a preset scheduling scheme. The operator sends the preset scheduling scheme to the console, and then the console controls the water pump operation status of each monitoring point according to the preset scheduling scheme; the pipeline flushing module obtains the pipeline information to be flushed in the pipeline network according to the preset flushing pipeline information, and controls the water pump operation status corresponding to the pipeline to be flushed.

8. The smart water management platform according to claim 1, characterized in that: The smart water management platform also includes an energy consumption management system, which is connected to the auxiliary scheduling system. The energy consumption management system is used to obtain the flow rate and water pump power consumption data of the monitoring point based on the auxiliary scheduling system, and to perform efficiency evaluation on the pump station power consumption and water pump power consumption corresponding to the monitoring point, and obtain the energy consumption status information of the pump station and water pump corresponding to the monitoring point.

9. The smart water management platform according to claim 1, characterized in that: The smart water management platform also includes a leakage management system, which is connected to the auxiliary scheduling system. The leakage management system is used to obtain flow data of the monitoring point based on the auxiliary scheduling system, and control the water pump status corresponding to the monitoring point using the scheduling office system based on the DMA metering method.

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