A water facility management method and system based on GIS

Abstract

The present invention discloses a water facility management method and system based on GIS, which relates to the field of water management technology, including a geographic information module that collects geographic information data of terrain, water systems, and water facilities, and uploads it to a platform layer; an equipment information module that collects attributes and working data of each water facility, and uploads it to a platform layer; a monitoring module that monitors the water system data of each water system, and uploads it to a platform layer; the platform layer establishes corresponding water system risk thresholds based on the historical water system data of each water system, and establishes a water quantity correlation coefficient model and a water quality correlation coefficient model between water systems through correlation analysis; and the platform layer establishes corresponding working data risk thresholds based on the historical working data of each water facility. The present invention realizes the effective integration of geographic information data, equipment information data, and water system monitoring data by constructing a water facility management system based on GIS, significantly improving the level of refinement in water facility management.

Description

Technical Field

[0001] The present invention relates to the technical field of water management, and in particular to a water facility management method and system based on GIS. Background Art

[0002] With the continuous advancement of urban construction and industrial development, the scale of water infrastructure has gradually expanded, and the efficient use and safe management of water resources have become increasingly important. Modern water systems typically involve a variety of different types of facilities and equipment, such as pumps, valves, sluice gates, and sensors. These facilities are widely distributed across different areas of a city and play a vital role. How to scientifically manage and efficiently dispatch these devices to ensure water supply and drainage safety and environmental quality has become a key research direction in the field of water management.

[0003] Currently, GIS (Geographic Information System) technology is widely used in water facility management. GIS enables the effective integration and visualization of geographic information data such as topography, water systems, and facility layout, providing crucial information support for the daily monitoring and operation and maintenance of water facilities. However, there remains considerable room for exploration in further integrating GIS with water facility management to achieve more proactive and precise management.

[0004] After searching, a Chinese patent (publication number: CN117689283A) discloses a water system and water management method based on spatiotemporal GIS. The patent includes: a structure management subsystem, which is used to process water member information and generate multiple member association information based on the water member information to characterize the association relationship between two water member information; an information management subsystem, which is used to obtain original water data based on the water member information; a spatiotemporal GIS subsystem, which is used to generate multiple water dynamic sub-models based on the water member information and the original water data, and generate a water dynamic system model based on the multiple water dynamic sub-models; a business management subsystem, which is used to generate business change information based on the member association information, the water dynamic sub-model and the water dynamic system model, and distribute the business change information.

[0005] In the existing technology, due to the complexity and dynamic changes of the water system environment and facility operation status, the existing management system usually focuses on data collection and presentation. However, there is still room for further improvement in the use of historical data to predict the status of water equipment and accurately respond to water system changes. Therefore, the present invention proposes a GIS-based water facility management method and system. Summary of the Invention

[0006] The purpose of the present invention is to provide a water facility management method and system based on GIS to solve the problems mentioned in the above background technology.

[0007] The present invention can be implemented through the following technical solutions: a GIS-based water facility management system, comprising a platform layer, a data layer, an application layer (operation and maintenance management, equipment monitoring, early warning, and scheduling optimization), and a user layer (operation and maintenance personnel, management personnel, emergency response personnel, and scheduling personnel);

[0008] The data layer includes geographic information module, equipment information module and monitoring module;

[0009] The geographic information module is used to collect geographic information data of terrain, water systems and water facilities, and upload it to the platform layer to form corresponding visualization data and first-level visualization layers;

[0010] The equipment information module is used to collect the attributes and operating data of each water facility and upload them to the platform layer. The platform layer stores the attributes and operating data of each water facility in the secondary visualization layer of the corresponding water facility;

[0011] The monitoring module is used to monitor the water system data of each water system and upload it to the platform layer. The platform layer stores the water system data in the secondary visualization layer of the corresponding water system; the water system data includes water quality data and water quantity data;

[0012] The platform layer is based on the historical water system data of each water system, which includes historical water volume data and historical water quality data. Through correlation analysis, the water volume correlation coefficient model and water quality correlation coefficient model between water systems are established to establish the water volume influence coefficient between each water system. , water quality impact coefficient , Water volume affects delay coefficient and water quality affecting the delay coefficient ;

[0013] In addition, the platform layer establishes a water facility association module based on the historical working data of each water facility to associate the functions between each water facility, including:

[0014] Functional complementarity: Two or more water facilities work together to perform the same water supply and drainage task; for example, a pump and a valve work together to control flow.

[0015] Control dependency: The control or status of one water utility depends on another water utility; for example, the start of a pump depends on the status of a valve;

[0016] Backup redundancy association: Two water facilities with the same function can serve as backup for each other; for example, two booster pumps can operate alternately;

[0017] Geographic proximity: Two water facilities are located in close proximity and affect the water system in the same area; for example, water quality sensors and drainage valves are located in the same area.

[0018] Risk linkage: An abnormality in one water facility may affect the normal operation of other water facilities; for example, an abnormal water level may cause an overload on downstream water pumps;

[0019] The platform layer establishes corresponding working data risk thresholds and water system risk thresholds based on the historical working data of each water facility and the historical water system data of each water system;

[0020] When the platform layer obtains real-time working data and real-time water system data, it compares them with the working data risk threshold and the water system risk threshold respectively;

[0021] If the real-time working data of a water facility exceeds the corresponding working data risk threshold, the platform layer will mark the corresponding water facility as abnormal;

[0022] If the real-time water system data is greater than the corresponding water system risk threshold, the platform layer calculates the upstream impact source of the water system and the downstream diffusion area of the water system based on the water quantity correlation coefficient model and the water quality correlation coefficient model. The platform layer also marks each water conservancy facility at the upstream impact source of the water system as suspicious and obtains each water conservancy facility in the downstream diffusion area of the water system.

[0023] The platform layer sends corresponding warning information to the application layer and user layer based on the abnormal or suspicious markings of water facilities.

[0024] A further technical improvement of the present invention is that the method for calculating the upstream impact source of the water system and the downstream diffusion area of the water system at the platform layer includes the following steps: S1. The platform layer reads the real-time water system data of each water system. When the real-time water system data of a water system is greater than the water system risk threshold, the water system is determined to be an abnormal water system;

[0025] Real-time water system data including water volume data , water quality data ; Water system risk thresholds include corresponding water quantity risk thresholds and water quality risk thresholds;

[0026] If water volume data Greater than water quantity risk threshold or water quality data If the value is greater than the water quality risk threshold, the water system is judged to be an abnormal water system;

[0027] S2, the platform layer retrieves the water volume influence coefficient from the water volume correlation coefficient model and water volume affect the delay coefficient , and retrieve the water quality impact coefficient from the water quality correlation coefficient model and water quality affecting the delay coefficient ;

[0028] S3, platform layer traces back upstream water system data to locate upstream impact sources, including

[0029] a1: Set the data backtracking time window ; , where To determine the detection time point when the water system is abnormal, is the preset maximum delay time;

[0030] a2. Historical water volume data for candidate upstream river system i , verify whether:

[0031] If the conditions are met, the platform layer will mark the water system as a suspected impact source;

[0032] Where, is the water volume influence coefficient; is the preset water volume error tolerance;

[0033] a3. At the same time, the water quality data of candidate upstream water system i Whether it meets:

[0034] If the conditions are met, the platform layer will mark the water system as a suspected impact source;

[0035] Where, is the water quality impact coefficient; is the preset water quality error tolerance;

[0036] a4. For candidate water system i that meets both conditions a2 and a3, the platform layer marks it as an upstream impact source and marks the water facilities covered by the water system as suspicious;

[0037] S4. The platform layer calculates the downstream diffusion path and diffusion time, including:

[0038] b1. The platform layer collects the water flow propagation velocity of the corresponding water system ;

[0039] b2. The platform layer obtains the duration of water quality anomalies for the same water quality problem from historical water system data. ;

[0040] S5. Calculate downstream diffusion distance at the platform layer and diffusion area A;

[0041] in, ;

[0042] ;Wherein, W is the average river width;

[0043] S6. The platform layer retrieves all water facilities in the diffusion area A based on geographic information data and includes them in the diffusion response list for early warning and scheduling.

[0044] A further technical improvement of the present invention is that the method for obtaining the candidate upstream water system i comprises:

[0045] Q1. The platform layer generates a water system topology map for each water system based on the geographic information data of the geographic information module, which is used to describe the flow direction, connection relationship, and flow path between each water system;

[0046] Q2. The platform layer locates the location of the abnormal water system through the water system topology map and marks it as ;

[0047] Q3. Retrieve all the water system topology maps that meet the requirements. Water system , and recorded as: ;in, The meaning is Located in an abnormal water system in the water system topology upstream;

[0048] Q4. Passing the maximum delay time and the average water velocity of the abnormal water system , calculate the maximum influence distance , ;

[0049] The platform layer is in the water system topology map, and is screened at the maximum impact distance range and meet the water flow path to reach river system, forming an effective set of candidate upstream river systems ;

[0050] Among them, the candidate upstream water system i∈ ,and .

[0051] The further technical improvement of the present invention is that the platform layer ranks the importance, abnormality and risk level of each water facility in the diffusion response list based on its function, and calculates the ranking score of each water facility in the diffusion response list through a formula , the formula used is:

[0052] Where, is the abnormality mark level of the water facility g (normal = 0, suspicious mark = 1, abnormal mark = 2); is the importance level of the water facility g, which is obtained based on the user's pre-setting; is the spatial distance from the water facility g to the abnormality occurrence point (including abnormal water system and abnormal water facilities); 、 and is the corresponding weighting coefficient, which is obtained through experiments or historical experience;

[0053] Platform layer based on ranking score , for each water facility in the diffusion response list:

[0054] Hierarchical response: Emergency dispatch is carried out one by one or in batches according to the ranking results, from high to low, with priority given to the closure, maintenance, isolation or emergency disposal of high-risk facilities;

[0055] Optimizing the allocation of operation and maintenance resources: Determine the inspection and maintenance routes and priorities of operation and maintenance personnel based on the ranking to ensure efficient use of operation and maintenance resources and rapid response to emergencies;

[0056] Optimize the priority of water facility risk monitoring: prioritize real-time monitoring of high-ranking water facilities, and dynamically adjust the monitoring frequency and intensity;

[0057] Accurately push external warning information: Based on the ranking results of water facilities and the severity of the impact, warning information is accurately formulated and sent, so that users and emergency personnel around high-risk water facilities receive clearer prompts and disposal plans.

[0058] A further technical improvement of the present invention is that the platform layer collects statistics on the warning information of each water facility and establishes a water facility warning information statistics table, which includes:

[0059] Waterworks facility g number;

[0060] Number of warning messages ;

[0061] Level weight score of each warning information ,The grade weight score is based on the grade of each warning information;

[0062] The platform layer scores each water facility based on the water facility warning information statistics table, using the following formula: Where, is the total score of historical warning information of water facility i; Score the level weight of the j-th warning information of water facility g;

[0063] The platform layer maps the total score of historical warning information of each water facility to the water system where it is located to obtain the comprehensive risk score of each water system. The formula is: Where, is the set of all water facilities corresponding to the k-th water system; is the total score of historical warning information of water facility g; For water system Comprehensive risk score;

[0064] The platform layer will comprehensively score the risk Mapping to a water system topology map, and conducting spatial cluster analysis, propagation path analysis, and high-risk facility location to quickly identify weak links and high-risk areas in the water system, clearly identify high-risk facilities, and clarify the investment direction and priority of facility maintenance and renewal;

[0065] Among them, spatial cluster analysis is used to identify the geographically concentrated areas of high-risk water systems;

[0066] The transmission path analysis is based on the direction of water flow, analyzing the risk level correlation between the upstream and downstream water systems of high-risk water systems, and identifying possible risk diffusion paths;

[0067] High-risk facility positioning is used to identify key facilities in water systems with high risk levels and clarify the priority of risk management.

[0068] The present invention also discloses a water facility management method based on GIS, which includes:

[0069] Step 1: Data collection: collect geographic information data of terrain, water system and water facilities, and form the corresponding first-level visualization layer; collect the attributes and working data of each water facility, and form the corresponding second-level visualization layer; at the same time, collect water volume data and water quality data of the water system, and form the corresponding second-level visualization layer of the water system;

[0070] Step 2: Model construction, based on the historical water volume data and historical water quality data of each water system, establish the water volume correlation coefficient model and the water quality correlation coefficient model to obtain the water volume impact coefficient , water quality impact coefficient , Water volume affects delay coefficient and water quality affecting the delay coefficient ;

[0071] Step 3: Establish functional relationships between water facilities based on their historical operating data;

[0072] Step 4: The platform layer establishes corresponding working data risk thresholds and water system risk thresholds based on the historical working data of each water facility and the historical water system data of each water system;

[0073] Step 5: The platform layer obtains real-time working data of water facilities and real-time water system data, and compares them with the corresponding working data risk threshold and water system risk threshold respectively;

[0074] If the real-time working data of a water facility exceeds the working data risk threshold, the water facility will be marked as abnormal;

[0075] If the real-time water system data exceeds the water system risk threshold, the upstream impact source and downstream diffusion area of the water system are calculated based on the water quantity correlation coefficient model and the water quality correlation coefficient model. The water facilities in the impact source area are marked as suspicious, and all water facilities within the diffusion area are obtained.

[0076] Step 6: Based on the abnormal or suspicious markings of the water facilities, generate warning information of corresponding levels and send it to the application layer and user layer.

[0077] Compared with the prior art, the present invention has the following beneficial effects:

[0078] By constructing a GIS-based water facility management system, the present invention achieves the effective integration of geographic information data, equipment information data, and water system monitoring data, significantly improving the refinement of water facility management. In addition, by introducing a water quantity and water quality correlation coefficient model, the ability to predict and quickly respond to abnormal events in the water system is significantly improved. In addition, the model-based abnormal source tracing and diffusion prediction method can quickly locate the source of the abnormal event and clarify the potential downstream diffusion area, providing effective decision-making support for operation and maintenance managers and realizing timely control and processing of abnormalities.

[0079] Furthermore, the proposed water facility functional association module, risk tagging mechanism, and hierarchical warning response scheduling strategy effectively enhance the water system's ability to respond to sudden risks. By leveraging functional complementarity, control dependencies, backup redundancy, geographic proximity, and risk linkage between facilities, the coordinated management of water facilities and the water system's environmental status can be achieved, significantly reducing the risk of losses caused by sudden water events and improving the safety and stability of urban water systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0081] Figure 1 This is a system block diagram of the present invention. DETAILED DESCRIPTION

[0082] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0083] See also Figure 1As shown, the present invention provides a GIS-based water facility management system, including a platform layer, a data layer, an application layer (operation and maintenance management, equipment monitoring, early warning, and scheduling optimization), and a user layer (operation and maintenance personnel, management personnel, emergency response personnel, and scheduling personnel).

[0084] The data layer includes geographic information module, equipment information module and monitoring module;

[0085] The geographic information module is used to collect geographic information data of terrain, water systems and water facilities, and upload it to the platform layer to form corresponding visualization data and first-level visualization layers;

[0086] The equipment information module is used to collect the attributes and operating data of each water facility and upload them to the platform layer. The platform layer stores the attributes and operating data of each water facility in the secondary visualization layer of the corresponding water facility;

[0087] Among them, the attributes of water facilities include equipment number, equipment type, model specification, installation time, service life, maintenance records, etc.

[0088] Working data includes operating status, flow data, pressure status, water quality parameters, environmental parameters, communication status, operating time, etc.

[0089] The monitoring module is used to monitor the water system data of each water system and upload it to the platform layer. The platform layer stores the water system data in the secondary visualization layer of the corresponding water system; the water system data includes water quality data and water quantity data;

[0090] The platform layer is based on the historical water system data of each water system, which includes historical water volume data and historical water quality data. Through correlation analysis, the water volume correlation coefficient model and water quality correlation coefficient model between water systems are established to establish the water volume influence coefficient between each water system. , water quality impact coefficient , Water volume affects delay coefficient and water quality affecting the delay coefficient ;

[0091] Among them, the water quantity correlation coefficient model and the water quality correlation coefficient model include linear or nonlinear regression models, time series models, and hydrodynamic simulation models. The model parameters are trained and continuously optimized through historical monitoring data to meet actual application needs;

[0092] In addition, the platform layer establishes a water facility association module based on the historical working data of each water facility to associate the functions between each water facility, including:

[0093] Functional complementarity: Two or more water facilities work together to perform the same water supply and drainage task; for example, a pump and a valve work together to control flow.

[0094] Control dependency: The control or status of one water utility depends on another water utility; for example, the start of a pump depends on the status of a valve;

[0095] Backup redundancy association: Two water facilities with the same function can serve as backup for each other; for example, two booster pumps can operate alternately;

[0096] Geographic proximity: Two water facilities are located in close proximity and affect the water system in the same area; for example, water quality sensors and drainage valves are located in the same area.

[0097] Risk linkage: An abnormality in one water facility may affect the normal operation of other water facilities; for example, an abnormal water level may cause an overload on downstream water pumps;

[0098] The platform layer establishes corresponding working data risk thresholds and water system risk thresholds based on the historical working data of each water facility and the historical water system data of each water system;

[0099] When the platform layer obtains real-time working data and real-time water system data, it compares them with the working data risk threshold and the water system risk threshold respectively;

[0100] If the real-time working data of a water facility exceeds the corresponding working data risk threshold, the platform layer will mark the corresponding water facility as abnormal;

[0101] If the real-time water system data is greater than the corresponding water system risk threshold, the platform layer calculates the upstream impact source of the water system and the downstream diffusion area of the water system based on the water quantity correlation coefficient model and the water quality correlation coefficient model. The platform layer also marks each water conservancy facility at the upstream impact source of the water system as suspicious and obtains each water conservancy facility in the downstream diffusion area of the water system.

[0102] The platform layer calculates the upstream impact source of the water system and the downstream diffusion area of the water system, comprising the following steps: S1, the platform layer reads the real-time water system data of each water system, and when the real-time water system data of a water system is greater than the water system risk threshold, the water system is determined to be an abnormal water system;

[0103] Real-time water system data including water volume data , water quality data ; Water system risk thresholds include corresponding water quantity risk thresholds and water quality risk thresholds;

[0104] If water volume data Greater than water quantity risk threshold or water quality data If the value is greater than the water quality risk threshold, the water system is judged to be an abnormal water system;

[0105] S2, the platform layer retrieves the water volume influence coefficient from the water volume correlation coefficient model and water volume affect the delay coefficient , and retrieve the water quality impact coefficient from the water quality correlation coefficient model and water quality affecting the delay coefficient ;

[0106] S3, platform layer traces back upstream water system data to locate upstream impact sources, including

[0107] a1: Set the data backtracking time window ; , where To determine the detection time point when the water system is abnormal, is the preset maximum delay time;

[0108] a2. Historical water volume data for candidate upstream river system i , verify whether:

[0109] If the conditions are met, the platform layer will mark the water system as a suspected impact source;

[0110] Where, is the water volume influence coefficient; is the preset water volume error tolerance;

[0111] a3. At the same time, the water quality data of candidate upstream water system i Whether it meets:

[0112] If the conditions are met, the platform layer will mark the water system as a suspected impact source;

[0113] Where, is the water quality impact coefficient; is the preset water quality error tolerance;

[0114] a4. For candidate water system i that meets both conditions a2 and a3, the platform layer marks it as an upstream impact source and marks the water facilities covered by the water system as suspicious;

[0115] S4. The platform layer calculates the downstream diffusion path and diffusion time, including:

[0116] b1. The platform layer collects the water flow propagation velocity of the corresponding water system , in this embodiment, it can be obtained by setting corresponding sensors in the water system for measurement;

[0117] b2. The platform layer obtains the duration of water quality anomalies for the same water quality problem from historical water system data. ;

[0118] S5. Calculate downstream diffusion distance at the platform layer and diffusion area A;

[0119] in, ;

[0120] ;Wherein, W is the average river width;

[0121] S6. The platform layer retrieves all water facilities in the diffusion area A based on geographic information data and includes them in the diffusion response list for early warning and scheduling.

[0122] Furthermore, the method for obtaining the candidate upstream water system i includes:

[0123] Q1. The platform layer generates a water system topology map for each water system based on the geographic information data of the geographic information module, which is used to describe the flow direction, connection relationship, and flow path between each water system;

[0124] Q2. The platform layer locates the location of the abnormal water system through the water system topology map and marks it as ;

[0125] Q3. Retrieve all the water system topology maps that meet the requirements. Water system , and recorded as: ;

[0126] Q4. Passing the maximum delay time and the average water velocity of the abnormal water system , calculate the maximum influence distance , ;

[0127] The platform layer is in the water system topology map, and is screened at the maximum impact distance range and meet the water flow path to reach river system, forming an effective set of candidate upstream river systems ;

[0128] Among them, the candidate upstream water system i∈ ,and .

[0129] The platform layer ranks the importance, abnormality and risk level of each water facility based on its function in the diffusion response list, and calculates the ranking score of each water facility in the diffusion response list through a formula , the formula used is:

[0130] Where, is the abnormality mark level of the water facility g (normal = 0, suspicious mark = 1, abnormal mark = 2); is the importance level of the water facility g, which is obtained based on the user's pre-setting; is the spatial distance from the water facility g to the abnormality occurrence point (including abnormal water system and abnormal water facilities); 、 and is the corresponding weighting coefficient, which is obtained through experiments or historical experience;

[0131] Platform layer based on ranking score , for each water facility in the diffusion response list:

[0132] Hierarchical response: Emergency dispatch is carried out one by one or in batches according to the ranking results, from high to low, with priority given to the closure, maintenance, isolation or emergency disposal of high-risk facilities;

[0133] Optimizing the allocation of operation and maintenance resources: Determine the inspection and maintenance routes and priorities of operation and maintenance personnel based on the ranking to ensure efficient use of operation and maintenance resources and rapid response to emergencies;

[0134] Optimize the priority of water facility risk monitoring: prioritize real-time monitoring of high-ranking water facilities, and dynamically adjust the monitoring frequency and intensity;

[0135] Accurately push external warning information: Based on the ranking results of water facilities and the severity of the impact, warning information is accurately formulated and sent, so that users and emergency personnel around high-risk water facilities receive clearer prompts and disposal plans.

[0136] The platform layer sends corresponding warning information to the application layer and user layer based on the abnormal or suspicious markings of water facilities.

[0137] In this embodiment, the warning information is set to three levels, as shown in Table 1 below:

[0138] Table 1

[0139] Warning level Trigger Conditions Warning content Dispatch response level Level 1 warning Water facilities were suspiciously marked Reminder: There may be an abnormality, please pay attention Submit platform-level monitoring and dispatch user-level inspection tasks Level 2 warning Water facilities are abnormally marked Display device has abnormal risk Dispatching maintenance tasks to user layers and pre-scheduling related water facilities Level 3 warning Water facilities are marked as suspicious and abnormal at the same time, or multiple water facilities in the same area are marked as abnormal. Abnormal risks may affect water safety Dispatching maintenance tasks to user layers and activating associated water facilities

[0140] The platform layer collects statistics on the warning information of each water facility and establishes a statistical table of water facility warning information, which includes:

[0141] Waterworks facility g number;

[0142] Number of warning messages ;

[0143] Level weight score of each warning information The level weight score is based on the level of each warning information. In this embodiment, the value of the first-level warning is 1, the value of the second-level warning is 2, and the value of the third-level warning is 3;

[0144] The platform layer scores each water facility based on the water facility warning information statistics table, using the following formula: Where, is the total score of historical warning information of water facility i; Score the level weight of the j-th warning information of water facility g;

[0145] The platform layer maps the total score of historical warning information of each water facility to the water system where it is located to obtain the comprehensive risk score of each water system. The formula is: Where, is the set of all water facilities corresponding to the k-th water system; is the total score of historical warning information of water facility i; For water system Comprehensive risk score;

[0146] The platform layer will comprehensively score the risk Mapping to a water system topology map, and conducting spatial cluster analysis, propagation path analysis, and high-risk facility location to quickly identify weak links and high-risk areas in the water system, clearly identify high-risk facilities, and clarify the investment direction and priority of facility maintenance and renewal;

[0147] Among them, spatial cluster analysis is used to identify the geographically concentrated areas of high-risk water systems;

[0148] The transmission path analysis is based on the direction of water flow, analyzing the risk level correlation between the upstream and downstream water systems of high-risk water systems, and identifying possible risk diffusion paths;

[0149] High-risk facility positioning is used to identify key facilities in water systems with high risk levels and clarify the priority of risk management.

[0150] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as a preferred embodiment as above, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to equivalent embodiments using the technical contents disclosed above without departing from the scope of the technical solution of the present invention. However, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A GIS-based water facility management system, characterized in that: Includes platform layer, data layer, application layer and user layer; The data layer includes geographic information module, equipment information module and monitoring module; The geographic information module collects geographic information data of terrain, water systems and water facilities, and uploads it to the platform layer; The equipment information module collects the attributes and working data of each water facility and uploads them to the platform layer; The monitoring module monitors the water system data of each water system and uploads it to the platform layer; the water system data includes water quality data and water quantity data; The platform layer establishes corresponding water system risk thresholds based on historical water system data of each water system, and establishes water quantity correlation coefficient models and water quality correlation coefficient models between water systems through correlation analysis; At the same time, the platform layer establishes corresponding work data risk thresholds based on the historical work data of each water facility, and establishes a water facility association module to associate the functions of each water facility; When the platform layer obtains real-time working data and real-time water system data, it compares them with the working data risk threshold and the water system risk threshold respectively; If the real-time working data exceeds the corresponding working data risk threshold, the platform layer will mark the corresponding water facility as abnormal; If the real-time water system data is greater than the corresponding water system risk threshold, the platform layer calculates the upstream impact source of the water system and the downstream diffusion area of the water system. The platform layer also marks each water conservancy facility at the upstream impact source of the water system as suspicious, and simultaneously obtains each water conservancy facility in the downstream diffusion area of the water system. The platform layer sends corresponding warning information to the application layer and user layer based on the abnormal or suspicious marking of water facilities; The water volume correlation coefficient model includes the water volume influence coefficient and water volume affect the delay coefficient ; The water quality correlation coefficient model includes the water quality influence coefficient and water quality affecting the delay coefficient ; The platform layer method for calculating the impact source of the upstream river system and the diffusion area of the downstream river system includes the following steps: S1. The platform layer reads the real-time water system data of each water system. When the real-time water system data of a water system is greater than the water system risk threshold, the water system is determined to be an abnormal water system; Real-time water system data including water volume data , water quality data ; Water system risk thresholds include corresponding water quantity risk thresholds and water quality risk thresholds; If water volume data Greater than water quantity risk threshold or water quality data If it is greater than the water quality risk threshold, the water system is judged to be an abnormal water system; S2, the platform layer retrieves the water volume influence coefficient from the water volume correlation coefficient model and water volume affect the delay coefficient , and retrieve the water quality impact coefficient from the water quality correlation coefficient model and water quality affecting the delay coefficient ; S3, the platform layer screens candidate upstream water system i and traces back the upstream water system data. If the upstream water system data meets the error conditions, the upstream impact source is located; S4. The platform layer collects the water flow propagation velocity of the corresponding water system , and obtain the abnormal duration of water quality for the same water quality problem from historical water system data ; S5. Calculate downstream diffusion distance at the platform layer and diffusion area A; in, ; ;Wherein, W is the average river width; S6. Based on geographic information data, the platform layer retrieves all water facilities in the diffusion area A and includes them in the diffusion response list.

2. A GIS-based water facility management system according to claim 1, characterized in that: The functional associations between water facilities in the water facilities association module include: functional complementary association, control dependency association, standby redundancy association, geographical proximity association and risk linkage association.

3. The GIS-based water facility management system according to claim 1, characterized in that: The specific steps of S3 include: a1: Set the data backtracking time window ; , where To determine the detection time point when the water system is abnormal, is the preset maximum delay time; a2. Historical water volume data for candidate upstream river system i , verify whether: If the conditions are met, the platform layer will mark the water system as a suspected impact source; Where, is the water volume influence coefficient; is the preset water volume error tolerance; a3. At the same time, the water quality data of candidate upstream water system i Whether it meets: If the conditions are met, the platform layer will mark the water system as a suspected impact source; Where, is the water quality impact coefficient; is the preset water quality error tolerance; a4. For candidate water system i that meets conditions a2 and a3 at the same time, the platform layer marks it as an upstream impact source and marks the water facilities covered by the water system as suspicious.

4. The GIS-based water facility management system according to claim 3, characterized in that: The method for obtaining the candidate upstream river system i includes: Q1. The platform layer generates the water system topology map of each water system based on the geographic information data of the geographic information module; Q2. The platform layer locates the location of the abnormal water system through the water system topology map and marks it as ; Q3. Retrieve all the water system topology maps that meet the requirements. Water system , and recorded as: ； Q4. Passing the maximum delay time and the average water velocity of the abnormal water system , calculate the maximum influence distance , ; The platform layer is in the water system topology map, and is screened at the maximum impact distance range and meet the water flow path to reach river system, forming an effective set of candidate upstream river systems ; Among them, the candidate upstream water system i∈ ,and .

5. The GIS-based water facility management system according to claim 1, characterized in that: The platform layer calculates the ranking score of each water facility in the diffusion response list based on the function of each water facility in the diffusion response list through a formula , and sort them using the following formula: Where, is the abnormality mark level of water facility i; is the importance level of water facility i; is the spatial distance from water facility i to the abnormality occurrence point; 、 and is the corresponding weighting coefficient.

6. The GIS-based water facility management system according to claim 1, characterized in that: The platform layer collects statistics on the warning information of each water facility and establishes a statistical table of water facility warning information, which includes the water facility number i, the number of warning information, and the level weight score of each warning information ; And the platform layer obtains the total score of historical warning information of each water facility based on the water facility warning information statistics table , the formula used is: ; The platform layer maps the total score of historical warning information of each water facility to the water system where it is located to obtain the comprehensive risk score of each water system , the formula is: Where, is the set of all water facilities corresponding to the k-th water system; The platform layer will comprehensively score the risk Map to the water system topology map.

7. A water facility management method based on GIS, characterized in that: The method adopts the water facility management system described in any one of claims 1 to 6, and the management method comprises the following steps: Step 1: The platform layer collects geographic information data of terrain, water systems, and water facilities, as well as the attributes and operating data of each water facility; Step 2: Based on the historical water volume data and historical water quality data of each water system, establish the water volume correlation coefficient model and the water quality correlation coefficient model, and obtain the water volume impact coefficient , water quality impact coefficient , Water volume affects delay coefficient and water quality affecting the delay coefficient ; Step 3: Establish functional relationships between water facilities based on their historical operating data; Step 4: The platform layer establishes corresponding working data risk thresholds and water system risk thresholds based on the historical working data of each water facility and the historical water system data of each water system; Step 5: The platform layer obtains real-time working data of water facilities and real-time water system data, and compares them with the corresponding working data risk threshold and water system risk threshold respectively; If the real-time working data of a water facility exceeds the working data risk threshold, the water facility will be marked as abnormal; If the real-time water system data exceeds the water system risk threshold, the upstream impact source and downstream diffusion area of the water system are calculated based on the water quantity correlation coefficient model and the water quality correlation coefficient model. The water facilities in the impact source area are marked as suspicious, and all water facilities within the diffusion area are obtained. Step 6: Based on the abnormal or suspicious markings of the water facilities, generate warning information of corresponding levels and send it to the application layer and user layer.

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