A pump room intelligent security monitoring abnormality detection method, system and medium

Abstract

The present application provides a method, system and medium for detecting abnormalities in intelligent security monitoring of pump rooms. The method includes: monitoring the target water supply system and extracting pump room status characteristic data, processing to obtain the pump room status abnormality index, extracting equipment operation characteristic data, processing to obtain the equipment status abnormality index, monitoring the location and environmental condition information of the area where the target water supply system is located, and extracting the location environment characteristic data, processing to obtain the location environment interference coefficient, obtaining the structural state characteristic data of the pump room, processing to obtain the pump room structure abnormality index, processing according to the pump room status abnormality index, the equipment status abnormality index and the location environment interference coefficient, combined with the pump room structure abnormality index, obtaining the system abnormality index, and obtaining the pump room flooding risk level of the target water supply system and the corresponding preset response plan, thereby realizing the technology of abnormality detection of intelligent security monitoring of pump rooms.

Description

Technical Field

[0001] The present application relates to the field of intelligent security technology, and more specifically, to an abnormality detection method, system and medium for intelligent security monitoring of a pump room. Background Art

[0002] Pump rooms play a vital role in many fields such as water conservancy, water supply and drainage. However, due to various reasons such as water pump failure, drainage pipe blockage, heavy rain, etc., pump rooms may be flooded. Traditional monitoring methods often rely on manual inspections or simple water level sensors. Manual inspections have problems such as long time intervals and easy omissions. Ordinary water level sensors cannot accurately judge flooding trends and water level changes in complex environments, which can easily lead to flooding accidents that cannot be handled in time, causing serious damage to the equipment and the entire system.

[0003] Most existing monitoring methods rely solely on a certain type of sensor. For example, using only a water level sensor may lead to misjudgment or missed judgment due to sensor failure or installation location limitations. At the same time, considering only a single data source cannot fully and accurately assess the complex situation of pump room flooding, such as the comprehensive impact of water level rise speed, water flow direction and flow rate changes on flooding.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of the present application is to provide a method, system and medium for detecting abnormalities in intelligent security monitoring of pump rooms. The method can realize the technology of abnormality detection in pump rooms by monitoring the target water supply system and extracting the characteristic data of the pump room status, processing to obtain the abnormality index of the pump room status, extracting the characteristic data of the equipment operation, processing to obtain the abnormality index of the equipment status, monitoring the target water supply system and extracting the characteristic data of the location environment, processing to obtain the interference coefficient of the location environment, obtaining the structural state characteristic data of the pump room, processing to obtain the structural abnormality index of the pump room, and processing according to the abnormality index of the pump room status, the abnormality index of the equipment status and the interference coefficient of the location environment in combination with the structural abnormality index of the pump room to obtain the system abnormality index, and obtaining the flooding risk level of the pump room of the target water supply system and the corresponding preset response plan.

[0006] The present application also provides a pump room intelligent security monitoring abnormality detection method, comprising the following steps:

[0007] Monitor the operating status information of the pump room of the target water supply system, extract the pump room status characteristic data, and process to obtain the pump room status abnormality index;

[0008] Synchronously collecting equipment operation monitoring information of the target water supply system, extracting equipment operation characteristic data, and processing to obtain an equipment status abnormality index;

[0009] Monitor the location and environmental condition information of the area where the target water supply system is located, extract location environmental characteristic data, and process to obtain the location environmental interference coefficient;

[0010] Acquiring structural state characteristic data of the pump room, and processing to obtain a pump room structural abnormality index;

[0011] According to the pump room status abnormality index, the equipment status abnormality index and the location environment interference coefficient, combined with the pump room structure abnormality index, processing is performed to obtain the system abnormality index, and the pump room flooding risk level of the target water supply system and the corresponding preset response plan are obtained.

[0012] Optionally, in the pump room intelligent security monitoring anomaly detection method described in the present application, the operation status information of the pump room of the monitoring target water supply system, and extracting the pump room status characteristic data, and processing to obtain the pump room status anomaly index include:

[0013] Monitor the operating status information of the pump room of the target water supply system, including water level status information and flow status information;

[0014] Extracting water level state characteristic data according to the water level state information, including water level height data and water level rise rate data;

[0015] Extracting flow characteristic data according to the flow state information, including water inlet flow data and water outlet flow data;

[0016] The water level height data and the water level rising rate data are processed in combination with the water inlet flow data and the drainage flow data to obtain a pump room status abnormality index.

[0017] Optionally, in the pump room intelligent security monitoring anomaly detection method described in the present application, the synchronous acquisition of the equipment operation monitoring information of the target water supply system, the extraction of equipment operation characteristic data, and the processing to obtain the equipment status anomaly index include:

[0018] Synchronously collecting equipment operation monitoring information of the target water supply system, and extracting equipment operation characteristic data, including water pump state characteristic data and valve state characteristic data;

[0019] The water pump status characteristic data includes water pump current data, water pump voltage data, water pump speed data and water pump temperature data;

[0020] The valve status characteristic data includes water inlet valve opening data, drain valve opening data and check valve opening data;

[0021] The water pump state characteristic data and the valve state characteristic data are processed to obtain an equipment state abnormality index.

[0022] Optionally, in the pump room intelligent security monitoring anomaly detection method described in the present application, the monitoring of the location and environmental condition information of the area where the target water supply system is located, extracting the location environment characteristic data, and processing to obtain the location environment interference coefficient includes:

[0023] Monitor the location and environmental condition information of the area where the target water supply system is located, and extract location environmental characteristic data, including altitude data and precipitation data;

[0024] The location environment interference coefficient is obtained by processing the altitude data and the precipitation data.

[0025] Optionally, in the pump room intelligent security monitoring anomaly detection method described in the present application, the step of acquiring the structural state characteristic data of the pump room and processing to obtain the pump room structural anomaly index includes:

[0026] Acquiring structural status characteristic data of the pump room, including pump room wall humidity data and pump room leakage data;

[0027] The pump room wall humidity data and the pump room leakage data are processed to obtain a pump room structural abnormality index.

[0028] Optionally, in the pump room intelligent security monitoring anomaly detection method described in the present application, the pump room state anomaly index, the equipment state anomaly index and the location environment interference coefficient are processed in combination with the pump room structure anomaly index to obtain a system anomaly index, and the pump room flooding risk level of the target water supply system and the corresponding preset response plan are obtained, including:

[0029] According to the pump room state abnormality index, the equipment state abnormality index and the location environment interference coefficient, the pump room structure abnormality index is combined with the pump room structure abnormality index through a preset pump room flooding risk assessment model to obtain a system abnormality index;

[0030] Comparing the system abnormality index with a preset system abnormality threshold to obtain a comparison result;

[0031] Determining the flooding risk level of the pump room of the target water supply system according to the comparison result;

[0032] Obtain a corresponding preset response plan according to the pump room flooding risk level.

[0033] In a second aspect, the present application provides a pump room intelligent security monitoring anomaly detection system, the system comprising: a memory and a processor, the memory comprising a program of a pump room intelligent security monitoring anomaly detection method, the program of the pump room intelligent security monitoring anomaly detection method being executed by the processor to implement the following steps:

[0034] Monitor the operating status information of the pump room of the target water supply system, extract the pump room status characteristic data, and process to obtain the pump room status abnormality index;

[0035] Synchronously collecting equipment operation monitoring information of the target water supply system, extracting equipment operation characteristic data, and processing to obtain an equipment status abnormality index;

[0036] Monitor the location and environmental condition information of the area where the target water supply system is located, extract location environmental characteristic data, and process to obtain the location environmental interference coefficient;

[0037] Acquiring structural state characteristic data of the pump room, and processing to obtain a pump room structural abnormality index;

[0038] According to the pump room status abnormality index, the equipment status abnormality index and the location environment interference coefficient, combined with the pump room structure abnormality index, processing is performed to obtain the system abnormality index, and the pump room flooding risk level of the target water supply system and the corresponding preset response plan are obtained.

[0039] Optionally, in the pump room intelligent security monitoring anomaly detection system described in the present application, the operation status information of the pump room of the monitoring target water supply system, and extracting the pump room status characteristic data, and processing to obtain the pump room status anomaly index include:

[0040] Monitor the operating status information of the pump room of the target water supply system, including water level status information and flow status information;

[0041] Extracting water level state characteristic data according to the water level state information, including water level height data and water level rise rate data;

[0042] Extracting flow characteristic data according to the flow state information, including water inlet flow data and water outlet flow data;

[0043] The water level height data and the water level rising rate data are processed in combination with the water inlet flow data and the drainage flow data to obtain a pump room status abnormality index.

[0044] Optionally, in the pump room intelligent security monitoring anomaly detection system described in the present application, the synchronous collection of the equipment operation monitoring information of the target water supply system, the extraction of equipment operation characteristic data, and the processing to obtain the equipment state anomaly index include:

[0045] Synchronously collecting equipment operation monitoring information of the target water supply system, and extracting equipment operation characteristic data, including water pump state characteristic data and valve state characteristic data;

[0046] The water pump status characteristic data includes water pump current data, water pump voltage data, water pump speed data and water pump temperature data;

[0047] The valve status characteristic data includes water inlet valve opening data, drain valve opening data and check valve opening data;

[0048] The water pump state characteristic data and the valve state characteristic data are processed to obtain an equipment state abnormality index.

[0049] In the third aspect, the present application also provides a computer-readable storage medium, which stores a pump room intelligent security monitoring anomaly detection method program. When the pump room intelligent security monitoring anomaly detection method program is executed by a processor, the steps of the pump room intelligent security monitoring anomaly detection method as described in any one of the above items are implemented.

[0050] As can be seen from the above, the pump room intelligent security monitoring anomaly detection method, system and medium provided in the present application monitor the operating status information of the pump room of the target water supply system, extract the pump room status characteristic data, process to obtain the pump room status anomaly index, synchronously collect the equipment operation monitoring information of the target water supply system, and extract the equipment operation characteristic data, process to obtain the equipment status anomaly index, monitor the location and environmental condition information of the area where the target water supply system is located, and extract the location environment characteristic data, process to obtain the location environment interference coefficient, obtain the structural status characteristic data of the pump room, process to obtain the pump room structure anomaly index, according to the pump room status anomaly index, the equipment status anomaly index and the location environment interference coefficient, combined with the pump room structure anomaly index for processing, to obtain the system anomaly index, and obtain the pump room flooding risk level of the target water supply system and the corresponding preset response plan, thereby realizing the technology of pump room intelligent security monitoring anomaly detection.

[0051] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 A flow chart of a method for detecting abnormalities in intelligent security monitoring of a pump room provided in an embodiment of the present application;

[0054] Figure 2 A flow chart of obtaining a pump room status abnormality index in a method for detecting abnormalities in a pump room intelligent security monitoring provided in an embodiment of the present application;

[0055] Figure 3 A flow chart of obtaining an abnormality index of a device status in a method for detecting abnormalities in an intelligent security monitoring system for a pump room provided in an embodiment of the present application;

[0056] Figure 4 A flow chart of obtaining the location environment interference coefficient of the pump room intelligent security monitoring anomaly detection method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0058] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0059] Please refer to Figure 1 , Figure 1 Flow chart of the pump room intelligent security monitoring abnormality detection method in some embodiments of the present application. The pump room intelligent security monitoring abnormality detection method is used in terminal devices, such as computers, mobile phone terminals, etc. The pump room intelligent security monitoring abnormality detection method includes the following steps:

[0060] S11, monitoring the operation status information of the pump room of the target water supply system, extracting the pump room status characteristic data, and processing to obtain the pump room status abnormality index;

[0061] S12, synchronously collecting equipment operation monitoring information of the target water supply system, extracting equipment operation characteristic data, and processing to obtain equipment status abnormality index;

[0062] S13, monitoring the location and environmental condition information of the area where the target water supply system is located, extracting location environmental characteristic data, and processing to obtain the location environmental interference coefficient;

[0063] S14, acquiring structural state characteristic data of the pump room, and processing to obtain a pump room structural abnormality index;

[0064] S15. According to the pump room state abnormality index, the equipment state abnormality index and the location environment interference coefficient, combined with the pump room structure abnormality index, a system abnormality index is obtained, and the pump room flooding risk level of the target water supply system and the corresponding preset response plan are obtained.

[0065] It should be noted that pump rooms play a vital role in many fields such as water conservancy, water supply and drainage. However, due to various reasons such as water pump failure, drainage pipe blockage, heavy rain, etc., pump rooms may be flooded. Traditional monitoring methods often rely on manual inspections or simple water level sensors. Manual inspections have problems such as long time intervals and easy omissions. Ordinary water level sensors cannot accurately judge flooding trends and water level changes in complex environments, which can easily lead to flooding accidents that cannot be handled in time, causing serious damage to equipment and the entire system. Most of the existing monitoring methods rely on a single sensor. For example, using only a water level sensor may lead to misjudgment or omission due to sensor failure or installation location limitations. At the same time, considering only a single data source cannot fully and accurately evaluate the complex situation of pump room flooding, such as the comprehensive impact of water level rise speed, water flow direction and flow rate changes on flooding. Therefore, it is necessary to find a new pump room. The technology of intelligent security monitoring of pump room flooding risk, in this embodiment, first monitors the operating status information of the pump room of the target water supply system, extracts the pump room status characteristic data, processes to obtain the pump room status abnormality index, synchronously collects the equipment operation monitoring information of the target water supply system, extracts the equipment operation characteristic data, processes to obtain the equipment status abnormality index, monitors the location and environmental condition information of the area where the target water supply system is located, extracts the location environment characteristic data, processes to obtain the location environment interference coefficient, obtains the structural status characteristic data of the pump room, processes to obtain the pump room structure abnormality index, according to the pump room status abnormality index, the equipment status abnormality index and the location environment interference coefficient, combined with the pump room structure abnormality index, processes to obtain the system abnormality index, and obtains the pump room flooding risk level of the target water supply system and the corresponding preset response plan, thereby realizing the technology of intelligent security monitoring abnormality detection of pump rooms.

[0066] Please refer to Figure 2 , Figure 2 The present invention is a flowchart of obtaining a pump room state abnormality index of a pump room intelligent security monitoring abnormality detection method in some embodiments of the present invention. According to an embodiment of the present invention, the operation state information of the pump room of the monitoring target water supply system, and the pump room state characteristic data are extracted, and the pump room state abnormality index is obtained by processing, including:

[0067] S21, monitoring the operation status information of the pump room of the target water supply system, including water level status information and flow status information;

[0068] S22, extracting water level state characteristic data according to the water level state information, including water level height data and water level rise rate data;

[0069] S23, extracting flow characteristic data according to the flow state information, including water inlet flow data and water outlet flow data;

[0070] S24. Processing the water level height data and the water level rising rate data in combination with the water inlet flow data and the drainage flow data to obtain a pump room status abnormality index.

[0071] It should be noted that in order to predict the risk of pump room flooding in advance, timely and accurate monitoring of the water level height, water level change rate, inflow flow and drainage flow data of the pump room is crucial. Therefore, the pump room status abnormality index is obtained by processing the above data, and the potential risk of pump room flooding can be understood through this index;

[0072] The calculation formula of the pump room status abnormality index is:

[0073] ;

[0074] in, is the abnormality index of the pump room status, , They are respectively the inlet flow data and the outlet flow data. , They are respectively the inlet flow data and the outlet flow data. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0075] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of obtaining the device status abnormality index of the pump room intelligent security monitoring abnormality detection method in some embodiments of the present application. According to the embodiment of the present invention, the synchronous collection of the equipment operation monitoring information of the target water supply system, and the extraction of the equipment operation characteristic data, and the processing to obtain the equipment status abnormality index include:

[0076] S31, synchronously collecting equipment operation monitoring information of the target water supply system, and extracting equipment operation characteristic data, including water pump state characteristic data and valve state characteristic data;

[0077] S32, the water pump state characteristic data includes water pump current data, water pump voltage data, water pump speed data and water pump temperature data;

[0078] S33, the valve status characteristic data includes water inlet valve opening data, drain valve opening data and check valve opening data;

[0079] S34, processing is performed according to the water pump state characteristic data and the valve state characteristic data to obtain an equipment state abnormality index.

[0080] It should be noted that, on the other hand, if the equipment fails or is in an abnormal situation, it may also bring the risk of flooding in the pump room. Therefore, the equipment operation monitoring information of the target water supply system is collected, and the equipment operation characteristic data, including the water pump state characteristic data and the valve state characteristic data, are extracted. The water pump state characteristic data includes the water pump current, water pump voltage, water pump speed and water pump temperature data, and the valve state characteristic data includes the water inlet valve opening, the drain valve opening and the check valve opening data. The above data are processed to obtain the equipment state abnormality index. If the equipment is found to be abnormal, further inspection is required to ensure the safety of the pump room.

[0081] The calculation formula of the device status abnormality index is:

[0082] ;

[0083] in, is the equipment status abnormality index, , , , They are water pump current data, water pump voltage data, water pump speed data, and water pump temperature data. , , They are the water inlet valve opening data, the drain valve opening data, and the check valve opening data. , , , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0084] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of obtaining the location environment interference coefficient of the pump room intelligent security monitoring abnormality detection method in some embodiments of the present application. According to an embodiment of the present invention, the location and environmental condition information of the area where the target water supply system is located is monitored, and the location environment characteristic data is extracted, and the location environment interference coefficient is obtained by processing, including:

[0085] S41, monitoring the location and environmental condition information of the area where the target water supply system is located, and extracting location environmental characteristic data, including altitude data and precipitation data;

[0086] S42: Process the altitude data and precipitation data to obtain a location environment interference coefficient.

[0087] It should be noted that if the pump house is located in a low-lying area and the surrounding water level (such as the water level of nearby rivers and lakes) rises, or there is heavy rain, the pump house may be flooded. Therefore, the location environment characteristic data of the area where the target water supply system is located, including altitude data and precipitation data, is extracted and processed to obtain the location environment interference coefficient;

[0088] The calculation formula of the location environment interference coefficient is:

[0089] ;

[0090] in, is the location environment interference coefficient, , They are altitude data and precipitation data respectively. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0091] According to an embodiment of the present invention, the step of acquiring the structural state characteristic data of the pump room and processing to obtain the pump room structural abnormality index includes:

[0092] Acquiring structural status characteristic data of the pump room, including pump room wall humidity data and pump room leakage data;

[0093] The pump room wall humidity data and the pump room leakage data are processed to obtain a pump room structural abnormality index.

[0094] It should be noted that water leakage may occur in the walls, floors and other structures of the pump room. By installing humidity sensors or water leakage detection cables on the walls and floors, it is possible to detect whether there is water penetration, and to obtain the pump room structure abnormality index based on the collected data on the humidity of the pump room walls and the leakage of the pump room;

[0095] The calculation formula of the pump room structure abnormality index is:

[0096] ;

[0097] in, is the pump room structure abnormality index, , They are the humidity data of the pump room wall and the leakage data of the pump room. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0098] According to an embodiment of the present invention, the pump room state abnormality index, the equipment state abnormality index and the location environment interference coefficient are processed in combination with the pump room structure abnormality index to obtain a system abnormality index, and obtain the pump room flooding risk level of the target water supply system and the corresponding preset response plan, including:

[0099] According to the pump room state abnormality index, the equipment state abnormality index and the location environment interference coefficient, the pump room structure abnormality index is combined with the pump room structure abnormality index through a preset pump room flooding risk assessment model to obtain a system abnormality index;

[0100] Comparing the system abnormality index with a preset system abnormality threshold to obtain a comparison result;

[0101] Determining the flooding risk level of the pump room of the target water supply system according to the comparison result;

[0102] Obtain a corresponding preset response plan according to the pump room flooding risk level.

[0103] It should be noted that the pump room state abnormality index, equipment state abnormality index and location environment interference coefficient obtained by processing are combined with the pump room structure abnormality index through the calculation formula of the preset pump room flooding risk assessment model to obtain the system abnormality index, and then the pump room flooding risk level is determined according to the index and the corresponding preset response plan is obtained;

[0104] The calculation formula of the system abnormality index is:

[0105] ;

[0106] in, is the system abnormality index, , , , They are the detection capability index, the detection result characteristic index, and the detection environment interference coefficient. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0107] According to an embodiment of the present invention, it also includes:

[0108] Collect abnormal detection result information of intelligent security monitoring, and extract statistical data of flood risk report of the pump room, including flood risk report underreporting rate data and flood risk report false alarm rate data;

[0109] Processing the flood risk report underreporting rate data and the flood risk report false alarm rate data to obtain a flood risk assessment accuracy index;

[0110] Comparing the flood risk assessment accuracy index with a preset flood risk assessment accuracy threshold to obtain a threshold comparison result;

[0111] If the threshold comparison result is not within the preset range, it indicates that the initial flood risk reporting threshold is unreasonable and needs to be adjusted accordingly;

[0112] The calculation formula of the flood risk assessment accuracy index is:

[0113] ;

[0114] in, is the flood risk assessment accuracy index, , They are respectively the flood risk report underreporting rate data and the flood risk report false alarm rate data. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0115] It should be noted that whether the judgment of the flooding risk of the pump room is accurate has a lot to do with whether the preset flooding risk reporting threshold is reasonable. If the threshold is set too high or too low, the accuracy of the risk assessment will be reduced. Therefore, the flooding risk report data of the pump room over the past period of time, including the flooding risk report underreporting rate data and the flooding risk report false alarm rate data, are counted and then processed to obtain the flooding risk assessment accuracy index, and then the reasonableness of the preset flooding risk reporting threshold is judged based on the index.

[0116] According to an embodiment of the present invention, it also includes:

[0117] Monitor the drainage status information within a preset time period after the pump room is flooded, and extract water level drop characteristic data, drainage flow characteristic data, and fault alarm characteristic data;

[0118] The water level drop characteristic data includes water level drop speed data and time data for reaching a safe water level;

[0119] The drainage flow characteristic data includes inlet and outlet flow difference data;

[0120] The fault alarm characteristic data includes alarm frequency data and alarm response time data;

[0121] Processing the water level drop characteristic data, the drainage flow characteristic data and the fault alarm characteristic data to obtain a drainage responsiveness index;

[0122] Comparing the drainage responsiveness index with a preset drainage responsiveness threshold to obtain a threshold comparison result;

[0123] Determine the drainage emergency response capability of the water supply system according to the threshold comparison result and make corresponding adjustments;

[0124] The calculation formula of the drainage responsiveness index is:

[0125] ;

[0126] in, is the drainage responsiveness index, , They are the data of water level drop speed and the time to reach safe water level. is the inlet and outlet flow difference data, , They are alarm frequency data and alarm response time data. , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0127] It should be noted that if the pump room has been flooded, the drainage capacity of the system is crucial. If the system can alarm and drain water in time, the losses caused by the flooding can be minimized. Therefore, the drainage status information within a preset time period after the pump room is flooded is monitored, and the water level drop characteristic data, drainage flow characteristic data and fault alarm characteristic data are extracted. Among them, the water level drop characteristic data includes the water level drop speed and the time to reach the safe water level, the drainage flow characteristic data includes the inlet and outlet flow difference data, and the fault alarm characteristic data includes the alarm frequency and alarm response time data. Then, the above data is processed to obtain the drainage responsiveness index, and the drainage emergency response capability is judged accordingly. If the capability does not meet the requirements, the corresponding drainage system needs to be adjusted.

[0128] In a second aspect, the present invention further discloses a pump room intelligent security monitoring anomaly detection system, comprising a memory and a processor, wherein the memory comprises a pump room intelligent security monitoring anomaly detection method program, and when the pump room intelligent security monitoring anomaly detection method program is executed by the processor, the following steps are implemented:

[0129] Monitor the operating status information of the pump room of the target water supply system, extract the pump room status characteristic data, and process to obtain the pump room status abnormality index;

[0130] Synchronously collecting equipment operation monitoring information of the target water supply system, extracting equipment operation characteristic data, and processing to obtain an equipment status abnormality index;

[0131] Monitor the location and environmental condition information of the area where the target water supply system is located, extract location environmental characteristic data, and process to obtain the location environmental interference coefficient;

[0132] Acquiring structural state characteristic data of the pump room, and processing to obtain a pump room structural abnormality index;

[0133] According to the pump room status abnormality index, the equipment status abnormality index and the location environment interference coefficient, combined with the pump room structure abnormality index, processing is performed to obtain the system abnormality index, and the pump room flooding risk level of the target water supply system and the corresponding preset response plan are obtained.

[0134] It should be noted that pump rooms play a vital role in many fields such as water conservancy, water supply and drainage. However, due to various reasons such as water pump failure, drainage pipe blockage, heavy rain, etc., pump rooms may be flooded. Traditional monitoring methods often rely on manual inspections or simple water level sensors. Manual inspections have problems such as long time intervals and easy omissions. Ordinary water level sensors cannot accurately judge flooding trends and water level changes in complex environments, which can easily lead to flooding accidents that cannot be handled in time, causing serious damage to equipment and the entire system. Most of the existing monitoring methods rely on a single sensor. For example, using only a water level sensor may lead to misjudgment or omission due to sensor failure or installation location limitations. At the same time, considering only a single data source cannot fully and accurately evaluate the complex situation of pump room flooding, such as the comprehensive impact of water level rise speed, water flow direction and flow rate changes on flooding. Therefore, it is necessary to find a new pump room. The technology of intelligent security monitoring of pump room flooding risk, in this embodiment, first monitors the operating status information of the pump room of the target water supply system, extracts the pump room status characteristic data, processes to obtain the pump room status abnormality index, synchronously collects the equipment operation monitoring information of the target water supply system, extracts the equipment operation characteristic data, processes to obtain the equipment status abnormality index, monitors the location and environmental condition information of the area where the target water supply system is located, extracts the location environment characteristic data, processes to obtain the location environment interference coefficient, obtains the structural status characteristic data of the pump room, processes to obtain the pump room structure abnormality index, according to the pump room status abnormality index, the equipment status abnormality index and the location environment interference coefficient, combined with the pump room structure abnormality index, processes to obtain the system abnormality index, and obtains the pump room flooding risk level of the target water supply system and the corresponding preset response plan, thereby realizing the technology of intelligent security monitoring abnormality detection of pump rooms.

[0135] According to an embodiment of the present invention, the operation status information of the pump room of the target water supply system is monitored, and the pump room status characteristic data is extracted, and the pump room status abnormality index is obtained by processing, including:

[0136] Monitor the operating status information of the pump room of the target water supply system, including water level status information and flow status information;

[0137] Extracting water level state characteristic data according to the water level state information, including water level height data and water level rise rate data;

[0138] Extracting flow characteristic data according to the flow state information, including water inlet flow data and water outlet flow data;

[0139] The water level height data and the water level rising rate data are processed in combination with the water inlet flow data and the drainage flow data to obtain a pump room status abnormality index.

[0140] It should be noted that in order to predict the risk of pump room flooding in advance, timely and accurate monitoring of the water level height, water level change rate, inflow flow and drainage flow data of the pump room is crucial. Therefore, the pump room status abnormality index is obtained by processing the above data, and the potential risk of pump room flooding can be understood through this index;

[0141] The calculation formula of the pump room status abnormality index is:

[0142] ;

[0143] in, is the abnormality index of the pump room status, , They are respectively the inlet flow data and the outlet flow data. , They are respectively the inlet flow data and the outlet flow data. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0144] According to an embodiment of the present invention, synchronously collecting the equipment operation monitoring information of the target water supply system, extracting the equipment operation characteristic data, and processing to obtain the equipment state abnormality index includes:

[0145] Synchronously collecting equipment operation monitoring information of the target water supply system, and extracting equipment operation characteristic data, including water pump state characteristic data and valve state characteristic data;

[0146] The water pump status characteristic data includes water pump current data, water pump voltage data, water pump speed data and water pump temperature data;

[0147] The valve status characteristic data includes water inlet valve opening data, drain valve opening data and check valve opening data;

[0148] The water pump state characteristic data and the valve state characteristic data are processed to obtain an equipment state abnormality index.

[0149] It should be noted that, on the other hand, if the equipment fails or is in an abnormal situation, it may also bring the risk of flooding in the pump room. Therefore, the equipment operation monitoring information of the target water supply system is collected, and the equipment operation characteristic data, including the water pump state characteristic data and the valve state characteristic data, are extracted. The water pump state characteristic data includes the water pump current, water pump voltage, water pump speed and water pump temperature data, and the valve state characteristic data includes the water inlet valve opening, the drain valve opening and the check valve opening data. The above data are processed to obtain the equipment state abnormality index. If the equipment is found to be abnormal, further inspection is required to ensure the safety of the pump room.

[0150] The calculation formula of the device status abnormality index is:

[0151] ;

[0152] in, is the equipment status abnormality index, , , , They are water pump current data, water pump voltage data, water pump speed data, and water pump temperature data. , , They are the water inlet valve opening data, the drain valve opening data, and the check valve opening data. , , , , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0153] According to an embodiment of the present invention, the monitoring of the location and environmental condition information of the area where the target water supply system is located, extracting location environmental characteristic data, and processing to obtain the location environmental interference coefficient includes:

[0154] Monitor the location and environmental condition information of the area where the target water supply system is located, and extract location environmental characteristic data, including altitude data and precipitation data;

[0155] The location environment interference coefficient is obtained by processing the altitude data and the precipitation data.

[0156] It should be noted that if the pump house is located in a low-lying area and the surrounding water level (such as the water level of nearby rivers and lakes) rises, or there is heavy rain, the pump house may be flooded. Therefore, the location environment characteristic data of the area where the target water supply system is located, including altitude data and precipitation data, is extracted and processed to obtain the location environment interference coefficient;

[0157] The calculation formula of the location environment interference coefficient is:

[0158] ;

[0159] in, is the location environment interference coefficient, , They are altitude data and precipitation data respectively. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0160] According to an embodiment of the present invention, the step of acquiring the structural state characteristic data of the pump room and processing to obtain the pump room structural abnormality index includes:

[0161] Acquiring structural status characteristic data of the pump room, including pump room wall humidity data and pump room leakage data;

[0162] The pump room wall humidity data and the pump room leakage data are processed to obtain a pump room structural abnormality index.

[0163] It should be noted that water leakage may occur in the walls, floors and other structures of the pump room. By installing humidity sensors or water leakage detection cables on the walls and floors, it is possible to detect whether there is water penetration, and to obtain the pump room structure abnormality index based on the collected data on the humidity of the pump room walls and the leakage of the pump room;

[0164] The calculation formula of the pump room structure abnormality index is:

[0165] ;

[0166] in, is the pump room structure abnormality index, , They are the humidity data of the pump room wall and the leakage data of the pump room. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0167] According to an embodiment of the present invention, the pump room state abnormality index, the equipment state abnormality index and the location environment interference coefficient are processed in combination with the pump room structure abnormality index to obtain a system abnormality index, and obtain the pump room flooding risk level of the target water supply system and the corresponding preset response plan, including:

[0168] According to the pump room state abnormality index, the equipment state abnormality index and the location environment interference coefficient, the pump room structure abnormality index is combined with the pump room structure abnormality index through a preset pump room flooding risk assessment model to obtain a system abnormality index;

[0169] Comparing the system abnormality index with a preset system abnormality threshold to obtain a comparison result;

[0170] Determining the flooding risk level of the pump room of the target water supply system according to the comparison result;

[0171] Obtain a corresponding preset response plan according to the pump room flooding risk level.

[0172] It should be noted that the pump room state abnormality index, equipment state abnormality index and location environment interference coefficient obtained by processing are combined with the pump room structure abnormality index through the calculation formula of the preset pump room flooding risk assessment model to obtain the system abnormality index, and then the pump room flooding risk level is determined according to the index and the corresponding preset response plan is obtained;

[0173] The calculation formula of the system abnormality index is:

[0174] ;

[0175] in, is the system abnormality index, , , , They are the detection capability index, the detection result characteristic index, and the detection environment interference coefficient. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0176] According to an embodiment of the present invention, it also includes:

[0177] Collect abnormal detection result information of intelligent security monitoring, and extract statistical data of flood risk report of the pump room, including flood risk report underreporting rate data and flood risk report false alarm rate data;

[0178] Processing the flood risk report underreporting rate data and the flood risk report false alarm rate data to obtain a flood risk assessment accuracy index;

[0179] Comparing the flood risk assessment accuracy index with a preset flood risk assessment accuracy threshold to obtain a threshold comparison result;

[0180] If the threshold comparison result is not within the preset range, it indicates that the initial flood risk reporting threshold is unreasonable and needs to be adjusted accordingly;

[0181] The calculation formula of the flood risk assessment accuracy index is:

[0182] ;

[0183] in, is the flood risk assessment accuracy index, , They are respectively the flood risk report underreporting rate data and the flood risk report false alarm rate data. , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0184] It should be noted that whether the judgment of the flooding risk of the pump room is accurate has a lot to do with whether the preset flooding risk reporting threshold is reasonable. If the threshold is set too high or too low, the accuracy of the risk assessment will be reduced. Therefore, the flooding risk report data of the pump room over the past period of time, including the flooding risk report underreporting rate data and the flooding risk report false alarm rate data, are counted and then processed to obtain the flooding risk assessment accuracy index, and then the reasonableness of the preset flooding risk reporting threshold is judged based on the index.

[0185] According to an embodiment of the present invention, it also includes:

[0186] Monitor the drainage status information within a preset time period after the pump room is flooded, and extract water level drop characteristic data, drainage flow characteristic data, and fault alarm characteristic data;

[0187] The water level drop characteristic data includes water level drop speed data and time data for reaching a safe water level;

[0188] The drainage flow characteristic data includes inlet and outlet flow difference data;

[0189] The fault alarm characteristic data includes alarm frequency data and alarm response time data;

[0190] Processing the water level drop characteristic data, the drainage flow characteristic data and the fault alarm characteristic data to obtain a drainage responsiveness index;

[0191] Comparing the drainage responsiveness index with a preset drainage responsiveness threshold to obtain a threshold comparison result;

[0192] Determine the drainage emergency response capability of the water supply system according to the threshold comparison result and make corresponding adjustments;

[0193] The calculation formula of the drainage responsiveness index is:

[0194] ;

[0195] in, is the drainage responsiveness index, , They are the data of water level drop speed and the time to reach safe water level. is the inlet and outlet flow difference data, , They are alarm frequency data and alarm response time data. , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset security monitoring database).

[0196] It should be noted that if the pump room has been flooded, the drainage capacity of the system is crucial. If the system can alarm and drain water in time, the losses caused by the flooding can be minimized. Therefore, the drainage status information within a preset time period after the pump room is flooded is monitored, and the water level drop characteristic data, drainage flow characteristic data and fault alarm characteristic data are extracted. Among them, the water level drop characteristic data includes the water level drop speed and the time to reach the safe water level, the drainage flow characteristic data includes the inlet and outlet flow difference data, and the fault alarm characteristic data includes the alarm frequency and alarm response time data. Then, the above data is processed to obtain the drainage responsiveness index, and the drainage emergency response capability is judged accordingly. If the capability does not meet the requirements, the corresponding drainage system needs to be adjusted.

[0197] A third aspect of the present invention provides a readable storage medium, which stores a pump room intelligent security monitoring anomaly detection method program. When the pump room intelligent security monitoring anomaly detection method program is executed by a processor, the steps of the pump room intelligent security monitoring anomaly detection method as described in any one of the above items are implemented.

[0198] The pump room intelligent security monitoring anomaly detection method, system and medium disclosed in the present invention monitor the operating status information of the pump room of the target water supply system, extract the pump room status characteristic data, process to obtain the pump room status anomaly index, synchronously collect the equipment operation monitoring information of the target water supply system, extract the equipment operation characteristic data, process to obtain the equipment status anomaly index, monitor the location and environmental condition information of the area where the target water supply system is located, extract the location environment characteristic data, process to obtain the location environment interference coefficient, obtain the structural status characteristic data of the pump room, process to obtain the pump room structure anomaly index, according to the pump room status anomaly index, the equipment status anomaly index and the location environment interference coefficient, combined with the pump room structure anomaly index, process to obtain the system anomaly index, and obtain the pump room flooding risk level of the target water supply system and the corresponding preset response plan, thereby realizing the technology of pump room intelligent security monitoring anomaly detection.

[0199] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0200] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0201] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0202] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0203] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for detecting abnormalities in intelligent security monitoring of a pump room, characterized in that: The following steps are involved: Monitor the operating status information of the pump room of the target water supply system, extract the pump room status characteristic data, and process to obtain the pump room status abnormality index; Synchronously collecting equipment operation monitoring information of the target water supply system, extracting equipment operation characteristic data, and processing to obtain an equipment status abnormality index; Monitor the location and environmental condition information of the area where the target water supply system is located, extract location environmental characteristic data, and process to obtain the location environmental interference coefficient; Acquiring structural state characteristic data of the pump room, and processing to obtain a pump room structural abnormality index; According to the pump room state abnormality index, the equipment state abnormality index and the location environment interference coefficient, combined with the pump room structure abnormality index, a system abnormality index is obtained, and the pump room flooding risk level of the target water supply system and the corresponding preset response plan are obtained; The step of acquiring the structural state characteristic data of the pump room and processing to obtain the pump room structural abnormality index comprises: Acquiring structural status characteristic data of the pump room, including pump room wall humidity data and pump room leakage data; Processing the pump room wall humidity data and the pump room leakage data to obtain a pump room structural abnormality index; The method of processing the pump room state abnormality index, the equipment state abnormality index and the location environment interference coefficient in combination with the pump room structure abnormality index to obtain a system abnormality index, and obtaining the pump room flooding risk level of the target water supply system and a corresponding preset response plan includes: According to the pump room state abnormality index, the equipment state abnormality index and the location environment interference coefficient, the pump room structure abnormality index is combined with the pump room structure abnormality index through a preset pump room flooding risk assessment model to obtain a system abnormality index; Comparing the system abnormality index with a preset system abnormality threshold to obtain a comparison result; Determining the flooding risk level of the pump room of the target water supply system according to the comparison result; Obtain a corresponding preset response plan according to the pump room flooding risk level.

2. The pump room intelligent security monitoring abnormality detection method according to claim 1 is characterized in that: The monitoring of the operating status information of the pump room of the target water supply system, extracting the pump room status characteristic data, and processing to obtain the pump room status abnormality index includes: Monitor the operating status information of the pump room of the target water supply system, including water level status information and flow status information; Extracting water level state characteristic data according to the water level state information, including water level height data and water level rise rate data; Extracting flow characteristic data according to the flow state information, including water inlet flow data and water outlet flow data; The water level height data and the water level rising rate data are processed in combination with the water inlet flow data and the drainage flow data to obtain a pump room status abnormality index.

3. The pump room intelligent security monitoring abnormality detection method according to claim 2 is characterized in that: The synchronously collecting the equipment operation monitoring information of the target water supply system, extracting the equipment operation characteristic data, and processing to obtain the equipment state abnormality index includes: Synchronously collecting equipment operation monitoring information of the target water supply system, and extracting equipment operation characteristic data, including water pump state characteristic data and valve state characteristic data; The water pump status characteristic data includes water pump current data, water pump voltage data, water pump speed data and water pump temperature data; The valve status characteristic data includes water inlet valve opening data, drain valve opening data and check valve opening data; The water pump state characteristic data and the valve state characteristic data are processed to obtain an equipment state abnormality index.

4. The pump room intelligent security monitoring abnormality detection method according to claim 3 is characterized in that: The monitoring of the location and environmental condition information of the area where the target water supply system is located, extracting location environmental characteristic data, and processing to obtain the location environmental interference coefficient includes: Monitor the location and environmental condition information of the area where the target water supply system is located, and extract location environmental characteristic data, including altitude data and precipitation data; The location environment interference coefficient is obtained by processing the altitude data and the precipitation data.

5. A pump room intelligent security monitoring anomaly detection system, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a pump room intelligent security monitoring abnormality detection method, and when the program of the pump room intelligent security monitoring abnormality detection method is executed by the processor, the following steps are implemented: Monitor the operating status information of the pump room of the target water supply system, extract the pump room status characteristic data, and process to obtain the pump room status abnormality index; Synchronously collecting equipment operation monitoring information of the target water supply system, extracting equipment operation characteristic data, and processing to obtain an equipment status abnormality index; Monitor the location and environmental condition information of the area where the target water supply system is located, extract location environmental characteristic data, and process to obtain the location environmental interference coefficient; Acquiring structural state characteristic data of the pump room, and processing to obtain a pump room structural abnormality index; According to the pump room state abnormality index, the equipment state abnormality index and the location environment interference coefficient, combined with the pump room structure abnormality index, a system abnormality index is obtained, and the pump room flooding risk level of the target water supply system and the corresponding preset response plan are obtained; The step of acquiring the structural state characteristic data of the pump room and processing to obtain the pump room structural abnormality index comprises: Acquiring structural status characteristic data of the pump room, including pump room wall humidity data and pump room leakage data; Processing the pump room wall humidity data and the pump room leakage data to obtain a pump room structural abnormality index; The method of processing the pump room state abnormality index, the equipment state abnormality index and the location environment interference coefficient in combination with the pump room structure abnormality index to obtain a system abnormality index, and obtaining the pump room flooding risk level of the target water supply system and a corresponding preset response plan includes: According to the pump room state abnormality index, the equipment state abnormality index and the location environment interference coefficient, the pump room structure abnormality index is combined with the pump room structure abnormality index through a preset pump room flooding risk assessment model to obtain a system abnormality index; Comparing the system abnormality index with a preset system abnormality threshold to obtain a comparison result; Determining the flooding risk level of the pump room of the target water supply system according to the comparison result; Obtain a corresponding preset response plan according to the pump room flooding risk level.

6. The pump room intelligent security monitoring abnormality detection system according to claim 5 is characterized in that: The monitoring of the operating status information of the pump room of the target water supply system, extracting the pump room status characteristic data, and processing to obtain the pump room status abnormality index includes: Monitor the operating status information of the pump room of the target water supply system, including water level status information and flow status information; Extracting water level state characteristic data according to the water level state information, including water level height data and water level rise rate data; Extracting flow characteristic data according to the flow state information, including water inlet flow data and water outlet flow data; The water level height data and the water level rising rate data are processed in combination with the water inlet flow data and the drainage flow data to obtain a pump room status abnormality index.

7. The pump room intelligent security monitoring abnormality detection system according to claim 6 is characterized in that: The synchronously collecting the equipment operation monitoring information of the target water supply system, extracting the equipment operation characteristic data, and processing to obtain the equipment state abnormality index includes: Synchronously collecting equipment operation monitoring information of the target water supply system, and extracting equipment operation characteristic data, including water pump state characteristic data and valve state characteristic data; The water pump status characteristic data includes water pump current data, water pump voltage data, water pump speed data and water pump temperature data; The valve status characteristic data includes water inlet valve opening data, drain valve opening data and check valve opening data; The water pump state characteristic data and the valve state characteristic data are processed to obtain an equipment state abnormality index.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a pump room intelligent security monitoring anomaly detection method program. When the pump room intelligent security monitoring anomaly detection method program is executed by a processor, the steps of the pump room intelligent security monitoring anomaly detection method as described in any one of claims 1 to 4 are implemented.

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