A method and system for analyzing spatial heterogeneity of power facilities flood disaster

Abstract

The application discloses a kind of electric power facilities flood disaster space heterogeneity analysis method and system, the method includes receiving to strong rainfall defense alarm, disaster early warning after flood disaster emergency response notice, start the process of electric power facilities flood disaster space heterogeneity analysis;According to the water level sensing monitoring information of the disaster power facility ontology obtained by processing, the individual area of the disaster power facility region and the total area of the disaster power facility region, construct the neural network of the damaged range of the disaster power facility region, and output the monitoring analysis result of the spatial heterogeneity of the disaster power facility region, i.e.The method and system of the application solve the spatial distribution index of the disaster power facility region, draw monitoring water level spatial distribution curve, crack the problem of describing flood disaster space heterogeneity, help electric power enterprise to guide to carry out emergency early warning, load transfer, flood control reinforcement, repair power, material allocation, and greatly reduce power equipment downtime and customer outage time.

Description

Technical Field

[0001] This invention relates to the field of power disaster prevention and mitigation technology, and in particular to a method and system for analyzing the spatial heterogeneity of power facilities affected by floods. Background Technology

[0002] Natural disasters such as heavy rainfall and floods severely impact power equipment and facilities, sometimes even leading to widespread power outages. Due to geographical location, climate conditions, and topography, current disaster prevention and mitigation models for protecting power equipment and facilities from flood damage need improvement in terms of early warning timeliness and accuracy. This not only affects command and decision-making but also poses risks to personnel operations and public safety hazards related to electricity. Furthermore, the effectiveness and timeliness of emergency power restoration efforts after large-scale disasters directly affect reliable power supply and socio-economic development.

[0003] Natural disasters such as torrential rains, flash floods, snowmelt floods, ice jam floods, dam-break floods, heavy rainfall, and typhoons have a significant impact on power grids. Therefore, strengthening monitoring, forecasting, and early warning systems to build a solid first line of defense against disasters is extremely important. The uneven spatial distribution of rainfall affects the timeliness and accuracy of flood warnings for power equipment and facilities. Existing technologies are unable to accurately assess the spatial distribution of rainfall, which has become a major challenge restricting the timeliness and accuracy of flood warnings.

[0004] Therefore, a method and system for analyzing the spatial heterogeneity of power facilities affected by floods is needed. Summary of the Invention

[0005] To address the aforementioned issues, a method for analyzing the spatial heterogeneity of power facilities affected by floods, an information system, and its neural network were deployed and applied at the provincial power grid company's production command center. This system aggregates data from heavy rainfall warnings and flood disaster emergency response notices (including emergency response levels, affected areas, cumulative rainfall, river levels, and reservoir levels) and flood risk maps issued by the Emergency Management Department website; liquid level sensor monitoring data from the power facilities themselves; power geographic information maps from the power geographic information system; and power facility ledger information from the power grid management platform. The system uses neural networks to analyze the spatial distribution of floodwaters, assess the spatial heterogeneity of affected power facility areas, and disseminate early warning information externally through the system's web server. The system has a simple structure, is easy to maintain, and has good scalability. Specific technical methods are as follows:

[0006] According to one aspect of the present invention, a method for analyzing the spatial heterogeneity of power facilities affected by floods is provided, comprising: after receiving a disaster warning such as a heavy rainfall defense alarm or a flood disaster emergency response notification, initiating a process for analyzing the spatial heterogeneity of power facilities affected by floods;

[0007] Input disaster warning information such as heavy rainfall defense warnings and flood disaster emergency response notices, assess whether the area will be affected by power facilities, and if the area is affected by power facilities, issue a warning notice and proceed to the next step;

[0008] Input a power geographic information map to obtain the boundary range of the power facility area that belongs to the waterlogged area, and calculate the individual area of ​​the affected power facility area and the total area of ​​the affected power facility area;

[0009] Input water level sensor monitoring information of the damaged power facilities;

[0010] Based on the water level sensing and monitoring information of the damaged power facilities, the individual area of ​​the damaged power facility area, and the total area of ​​the damaged power facility area, a neural network is constructed to measure the extent of damage to the power facility area caused by the disaster, and the monitoring and analysis results of the spatial heterogeneity of the damaged power facility area are output.

[0011] Optionally, the monitoring and analysis results include: water level information of the affected power facility area, flood impact level, flood spatial distribution index, and real-time mapping of individual area and total area.

[0012] Optionally, the water level information of the affected power facility area includes: the height of the water level monitoring surface in the affected power facility area, the average water level monitoring surface height, and the time of flooding.

[0013] Optionally, the disaster early warning information includes: emergency response for power facility areas, alarm content, and flood risk maps.

[0014] Optionally, the boundary range of the power facility area belonging to the waterlogged area can be obtained: under the spatial association rules, combined with the flood risk map, it can be determined whether the power facility area in the power geographic information map is located in the flood inundation area in the flood risk map. If it is, then the power facility area belongs to the boundary range of the waterlogged area.

[0015] Optionally, the average water level monitoring surface height in the disaster-affected power facility area. The expression is:

[0016]

[0017] In the above formula, E i The water level monitoring height for the power facility body, μ i The weights for the area of ​​different region types.

[0018] Optionally, the flood spatial distribution index Index, obtained by solving the neural network to measure the extent of damage to power facilities due to disasters, includes:

[0019] Based on the water level sensor monitoring information of the damaged power facilities, a spatial distribution curve of the monitored flood water level was plotted.

[0020] The distribution of the spatial distribution curve of the flood level is judged. If the flood level is uniformly distributed, the spatial distribution curve degenerates into a straight line OL, and the ordinate of point L is the average water level monitoring surface height of the disaster area. If the flood center of the flooded area is far away from the monitoring sampling point, the spatial distribution curve is above the straight line OL. Conversely, if the flood center of the flooded area is close to the monitoring sampling point, the spatial distribution curve is below the straight line OL.

[0021] The more tortuous the spatial distribution curve, the more uneven the spatial distribution of the monitored water level.

[0022] If the area between the spatial distribution curve and the straight line OL is A, and the spatial distribution curve is above the straight line OL, then A is positive; otherwise, A is negative. If the area of ​​the disaster-stricken area enclosed by the straight line OL, the horizontal axis, and the right frame is B, then the ratio of A to B reflects the degree of unevenness in the spatial distribution of the monitored water level.

[0023] Calculate the spatial distribution index of floodwater level based on A and B:

[0024]

[0025] In the above formula, m is the area under constant flow, E is the water level monitoring height, and f j E represents the area ratio of each water level to the area of ​​the affected power facility, j represents the sequence number of the power facility area where different water level sensors are located, and E represents the area ratio of each water level. i The water level monitoring height of the power facility body is denoted by , and i represents the serial number of different water level sensors.

[0026] According to another aspect of the present invention, a spatial heterogeneity analysis system for flood-affected power facilities is also provided, comprising: a data layer, which receives disaster warnings from heavy rainfall defense alerts and flood disaster emergency response notices, and initiates a process for analyzing the spatial heterogeneity of flood-affected power facilities; assesses whether the disaster warning information from heavy rainfall defense alerts and flood disaster emergency response notices affects the power facility area, and when the power facility area is affected, issues a warning notice and proceeds to the next step; receives a power geographic information map, obtains the boundary range of the power facility area belonging to the waterlogged area, and calculates the individual area of ​​the affected power facility area and the total area of ​​the affected power facility area; and receives water level sensing monitoring information of the affected power facility itself.

[0027] The business logic layer is used to construct a neural network to measure the extent of damage to the power facility area due to the disaster based on the water level sensing and monitoring information of the damaged power facility body, the individual area of ​​the damaged power facility area and the total area of ​​the damaged power facility area, and output the monitoring and analysis results of the damaged power facility area.

[0028] The presentation layer is used to display the monitoring and analysis results and related basic data of the affected power facility area.

[0029] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform the spatial heterogeneity analysis method for flood-affected power facilities as described above.

[0030] According to another aspect of the present invention, a processor is also provided, the processor being used to run a program, wherein the program, when running, executes the spatial heterogeneity analysis method for flood-affected power facilities as described in any of the preceding embodiments.

[0031] Compared with existing technologies, the present invention has the following advantages:

[0032] This invention provides a system and method for analyzing the spatial heterogeneity of power facilities affected by floods, including a method for solving the water level monitoring height in the affected power facility area (a solution model for water level monitoring height, degree, and time in the affected power equipment facility area) and a monitoring system for the inundation characteristics of the area where the power equipment facilities are located (data layer, business logic layer, and presentation layer).

[0033] This method and system creatively solve the problem of describing the spatial heterogeneity of flood-affected areas by solving the spatial distribution index of the affected power facility area and plotting the spatial distribution curve of the monitored water level. Its spatial distribution index and curves have excellent timeliness and accuracy in identifying the flood center of the inundated area, helping power companies guide emergency early warning, load transfer, flood control reinforcement, emergency power restoration, material allocation, customer service, grid planning, and power construction, while significantly reducing power equipment downtime and user power outage time.

[0034] By leveraging the water level monitoring data of power equipment and facilities distributed in flood-prone areas that power grid companies have already attempted to collect, and by providing early warnings of the flood risks and evolution trends faced by power equipment and facilities, this study investigates the application of emergency command and decision-making methods for power restoration and emergency response, thereby enabling data-driven power equipment and facilities to achieve enhanced perception, command and decision-making, and emergency response capabilities. Attached Figure Description

[0035] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only one embodiment of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a flowchart of a method for analyzing the spatial heterogeneity of power facilities affected by floods according to an embodiment of the present invention;

[0037] Figure 2 This is a schematic diagram of the structure of a neural network for measuring the extent of damage to power facilities due to disasters according to an embodiment of the present invention.

[0038] Figure 3 This is a schematic diagram of a system for analyzing the spatial heterogeneity of high-voltage power facilities affected by floods, according to an embodiment of the present invention.

[0039] Figure 4 This is a curve showing the spatial distribution of floodwater levels in power facilities according to an embodiment of the present invention. Detailed Implementation

[0040] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0041] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0042] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0043] Example 1

[0044] According to an embodiment of the present invention, an embodiment of a method for analyzing the spatial heterogeneity of power facilities affected by floods is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0045] like Figure 1 This is a flowchart of a method for analyzing the spatial heterogeneity of power facilities affected by floods according to an embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps:

[0046] S10. After receiving a disaster warning such as a heavy rainfall defense alert or a flood disaster emergency response notification, initiate the process of analyzing the spatial heterogeneity of power facilities affected by floods.

[0047] As an optional implementation, disaster warnings are received from the website of the Emergency Management Department, including heavy rainfall defense alerts and flood disaster emergency response notices, through the power grid company's production command center.

[0048] S20. Input disaster warning information such as heavy rainfall defense warning and flood disaster emergency response notice, determine whether it will affect the area of ​​power facilities, and if it will affect the area of ​​power facilities, issue a warning notice and proceed to the next step;

[0049] Specifically, the disaster warning information input includes: emergency response, warning content, and flood risk map for power facility areas. The flood risk map is a map that reflects the spatial distribution of flood risk factors.

[0050] As an optional implementation, the disaster warning information in the heavy rainfall defense warning and flood disaster emergency response notification includes: emergency response level, affected area, rainfall, river water level and reservoir water level.

[0051] Rainfall refers to the depth (in millimeters) of rain that falls from the sky to the ground and accumulates on a horizontal surface without evaporation, infiltration, or runoff. Specifically, it includes: regional rainfall (in millimeters), maximum local rainfall (in millimeters), and maximum hourly rainfall (in millimeters). Rainfall levels are categorized into seven levels: trace rainfall, light rain, moderate rain, heavy rain, torrential rain, extremely heavy rain, and exceptionally heavy rain.

[0052] River water conditions refer to the changes in river water level and flow over time.

[0053] Reservoir water conditions refer to the changes in water level, capacity, and flow rate of a reservoir over time.

[0054] As an optional implementation, the early warning notification includes the emergency response level of the power facility. The emergency response level of the power facility is divided into four levels: Level I, Level II, Level III, and Level IV, specifically:

[0055] A Level I emergency response is triggered when a severe basin-wide flood or a large-scale, extremely severe flood may occur; or when hydrological departments forecast a major river to experience a flood event that occurs once every 50 years or more; or when two or more major rivers simultaneously experience floods that occur once every 20 years or more; or when important tributaries of several major rivers experience floods that occur once every 50 years or more; or when the water levels in more than 10 key flood control cities (counties) are close to the guaranteed water level.

[0056] A Level II emergency response is triggered when the meteorological department issues a red alert for heavy rain, indicating the possibility of widespread severe flooding or a relatively large-scale extremely severe flood; or when the district hydrological department forecasts a major river experiencing a flood event that occurs once every 20 years or more, or two or more major rivers simultaneously experiencing floods that occur once every 10 years or more, or several major tributaries of major rivers experiencing floods that occur once every 20 years or more; or when the water levels in five or more key flood control cities (counties) are close to the guaranteed water level.

[0057] A Level III emergency response is triggered when the meteorological department issues an orange rainstorm warning, indicating the possibility of widespread severe flooding; or when the hydrological department forecasts a major river experiencing a flood event with a return period of 10 to 20 years, or several major tributaries of major rivers experiencing floods with a return period of more than 10 years; or when the water levels in three or more key flood control cities (counties) are close to the guaranteed water level.

[0058] A Level IV emergency response is triggered when the meteorological department issues a blue or yellow rainstorm warning, indicating the possibility of localized severe flooding; or when the hydrological department forecasts a major river experiencing a flood event that occurs once every 5 to 10 years, or several major tributaries of major rivers experiencing floods that occur once every 5 years or more; or when the water levels in one or two key flood control cities (counties) are close to the guaranteed water level.

[0059] Floods include: rainstorm floods, flash floods, snowmelt floods, ice jam floods, and dam break floods.

[0060] The above-mentioned emergency response levels are based on the "Guangxi Zhuang Autonomous Region Flood Disaster Emergency Plan" in the "Guangxi Emergency Plan for Typhoon, Flood and Drought Disaster Prevention". This classification of emergency response levels makes the present invention more universal and practical, and facilitates the promotion and application of the patented technology.

[0061] S30. Input the power geographic information map, obtain the boundary range of the power facility area belonging to the waterlogged area, and calculate the individual area S of the affected power facility area.i and the total area S of the affected power facilities n .

[0062] As an optional embodiment, the power geographic information map is derived from a power geographic information system.

[0063] As an optional embodiment, the power facility area is the area where the power facilities are located, including: power plants, transmission corridors, substations, and power supply areas. Equipment within the power facility area includes: generators, transformers, reactors, circuit breakers, current transformers, voltage transformers, disconnect switches, surge arresters, coupled capacitors, wave traps, overhead lines, cable lines, combined electrical appliances, and busbars.

[0064] As an optional embodiment, the area of ​​power facilities belonging to the waterlogged area refers to the waterlogged area that is visually reflected in the flood risk map (the grid with a water depth greater than 0.15 meters).

[0065] As an optional implementation, the boundary range of the power facility area belonging to the waterlogged area is obtained: under spatial association rules, combined with the flood risk map, the power facility area A(C) in the power geographic information map is analyzed. u C v Is it located in flood-prone area B (C) on the flood risk map? x C y If the area is within the boundary of the flooded area, then the power facility area is within the boundary of the flooded area, and the expression is:

[0066]

[0067] As an optional embodiment, the total area S of the affected power facility area n S is the individual area of ​​all n affected power facility areas. i The expression is:

[0068]

[0069] S40. Input the water level sensor monitoring information of the damaged power facility.

[0070] As an optional embodiment, the water level sensing monitoring information includes water level height and water level monitoring time. The water level sensing monitoring information comes from the monitoring data of the liquid level sensor on the power facility itself.

[0071] A liquid level sensor is a sensor that calculates the height of a liquid (including water level) by measuring the pressure at the location of its sensing element within the liquid medium. Liquid level sensors include: piezoresistive liquid level sensors, capacitive liquid level sensors, inductive liquid level sensors, and strain gauge liquid level sensors. Liquid level sensors have three output methods: analog output, digital output, and hybrid analog-digital output. Analog output refers to an output signal that is either a DC current or a DC voltage signal; digital output refers to an output signal that is a digital signal; and hybrid output refers to an output signal that is both analog and modulated with a digital signal.

[0072] S50. Based on the water level sensing and monitoring information of the damaged power facilities, the individual area of ​​the damaged power facility area and the total area of ​​the damaged power facility area, construct a neural network to measure the extent of damage to the power facility area caused by the disaster, and output the monitoring and analysis results of the spatial heterogeneity of the damaged power facility area.

[0073] As an optional implementation, the monitoring and analysis results include: water level information of the affected power facility area, flood impact level, flood spatial distribution index, and real-time mapping of individual areas and total areas. The water level information of the affected power facility area includes: the height of the water level monitoring surface in the affected power facility area. Average water level monitoring surface height And the moment of submersion T j .

[0074] As an optional embodiment, such as Figure 2 This is a schematic diagram of the structure of a neural network for measuring the extent of damage to power facilities due to disasters according to an embodiment of the present invention, such as... Figure 2 As shown, the constructed neural network for measuring the extent of damage to power facilities due to disasters includes an input layer, a hidden layer, and an output layer. The entire network belongs to the multi-input, multi-output type neural network.

[0075] As an optional embodiment, the input layer node x includes: emergency response notices for flood disasters and heavy rainfall defense warnings issued by the Emergency Management Department website; liquid level sensing information of the power facilities themselves; and the individual area S of the affected power facilities areas of power plants, transmission corridors, substations, and power distribution areas. i and the total area S of the affected power facilities n .

[0076] As an optional embodiment, the concealed layer utilizes the water level monitoring height E of the power facility body. i Determine the height of the water level monitoring surface in the affected power facility area.

[0077] Specifically, for n monitoring sampling points within the affected power facility area, the water level monitoring surface height of the affected power facility area is calculated using the corresponding power geographic information map (including graphic code) in the power geographic information system and the liquid level sensor monitoring information of the power facility.

[0078]

[0079] In the above formula, E i E is the water level monitoring height for the power facility itself. i (i = 1, ..., n), μ i This refers to the weight of the area of ​​different region types, μ i (i = 1, ..., n); the weight coefficient ranges from 7 to 10 for the power plant area, from 1 to 5 for the transmission corridor area, from 8 to 10 for the substation area, and from 2 to 7 for the power supply area.

[0080] The power facility areas and graphic codes in the power geographic information map are as follows: power plant 1000000, transmission corridor 3010000, substation 2000000, and power supply area 6030000.

[0081] As an optional embodiment, the hidden layer also utilizes the water level monitoring height E of the power facility body. i Water level monitoring time T j Calculate the average water level monitoring surface height when determining the water level surface in each affected power facility area.

[0082] Specifically, based on the monitoring time of water level in the disaster-stricken area of ​​the power geographic information map raster, isostatic lines are drawn to obtain m isostatic time surfaces. The area within each isostatic time surface is counted, and the proportion of one isostatic time surface to the area of ​​the power facility area is set as r. i，j Where i represents the serial number of different water level sensors, j represents the serial number of the power facility area where different water level sensors are located, and the area ratio of each water level surface relative to the affected power facility area is f, arranged from most recent to furthest from the monitoring time. j (j = 1, ..., m):

[0083]

[0084] The average height of the water level monitoring surface at each water level is:

[0085]

[0086] As an optional embodiment, the hidden layer can also utilize the water level monitoring surface height of the affected power facility area. Average water level monitoring surface height At the water level monitoring time T, calculate the spatial distribution index (Index) of the affected power facility area.

[0087] Specifically, the neural network solution for measuring the extent of disaster-related damage to power facilities yields the flood spatial distribution index, which includes:

[0088] S501. Draw the spatial distribution curve of the monitored flood level based on the water level sensor monitoring information of the damaged power facility;

[0089] Specifically, according to the monitoring time of water level from small to large, the relative surface area f at the same water level is used. j The cumulative value is on the x-axis, and the average water level monitoring surface height is used as the corresponding water level monitoring surface height. The cumulative values ​​are used as the ordinate to plot the spatial distribution curve of the monitored floodwater level;

[0090] S502. Determine the distribution of the spatial distribution curve of floodwater level. If the floodwater level is uniformly distributed, the spatial distribution curve degenerates into a straight line OL, and the ordinate of point L is the average water level monitoring surface height of the disaster area. If the flood center of the flooded area is far away from the monitoring sampling point, the spatial distribution curve is above the straight line OL. Conversely, if the flood center of the flooded area is close to the monitoring sampling point, the spatial distribution curve is below the straight line OL.

[0091] Among them, the more tortuous the spatial distribution curve, the more uneven the spatial distribution of the monitored water level;

[0092] S503. If the area between the spatial distribution curve and the straight line OL is A, and the spatial distribution curve is above the straight line OL, then A is positive; otherwise, A is negative. The area of ​​the disaster-stricken area enclosed by the straight line OL, the horizontal axis, and the right frame is B. The ratio of A to B reflects the degree of unevenness in the spatial distribution of the monitored water level.

[0093] S504. Calculate the spatial distribution index of floodwater level based on A and B:

[0094]

[0095] In the above formula, m is the area under constant flow, E is the water level monitoring height, and f j E represents the area ratio of each water level to the area of ​​the affected power facility, j represents the sequence number of the power facility area where different water level sensors are located, and E represents the area ratio of each water level. i The water level monitoring height of the power facility body is denoted by , and i represents the serial number of different water level sensors.

[0096] S504. Based on the definition of the spatial distribution index of the disaster-stricken power facility area and the calculation formula of step S504, the range of Index is (-1, 1). Index = 0 indicates that the spatial distribution of flood level in the area is uniform; Index ∈ (-1, 0) indicates that the flood center is located close to the monitoring sampling point; Index ∈ (0, 1) indicates that the flood center is located far from the monitoring sampling point. The larger the absolute value of Index, the more uneven the spatial distribution of flood level due to rainfall.

[0097] As an optional implementation, the hidden layer can solve for the flood impact level of the power facility disaster area according to the corresponding flood control standard.

[0098] Specifically, compare the average water level monitoring surface height in the area where the power facilities are located. The local flood control standards (recurrence period (years)) reached were used to determine five levels of flood impact on the power facilities affected by the disaster. The comparison standards are shown in Table 1.

[0099] Table 1. Flood Impact Levels in Power Facility Affected Areas

[0100]

[0101] As an optional embodiment, when the average water level monitoring surface height When the corresponding Level IV flood control standard is reached, the water level monitoring time T is the time T at which the affected power facility area is submerged. j .

[0102] As an optional embodiment, the output layer is used to output the average water level monitoring surface height of each affected power facility area in real time. Submerged moment T j A chart showing the impact level of flooding and the spatial distribution index of flood water levels.

[0103] As an optional embodiment, in order to reflect the flood inundation range of different magnitudes, the color system format in the flood impact level image elements of the affected power facility area is shown in Table 2.

[0104] Table 1 Color system formats in image elements

[0105]

[0106] As an optional implementation, the output results include the average water level monitoring surface height for each affected power facility area. Submerged moment T j The analysis results of monitoring and analysis, the flood impact level, the spatial distribution index of flood water level, and the individual area S of each power facility affected by the flood disaster. iTotal area S n Real-time mapping is generated, and the real-time monitoring and analysis results of flood levels in power facilities are displayed in accordance with the provisions of QX / T549 "Specifications for the Dissemination of Meteorological Disaster Early Warning Information Websites".

[0107] Example 2

[0108] According to another aspect of the present invention, a spatial heterogeneity analysis system for power facility flood disasters is also provided. This system supports the analysis method for spatial heterogeneity analysis of power facility flood disasters and constructs a monitoring system covering power facilities belonging to provincial, municipal, and county-level power grids, as well as the average water level monitoring surface height and water level monitoring time in the affected power facility areas. The software quality of the system conforms to the requirements of GB / T16260.1 "Software Engineering Product Quality Part 1: Quality Model", GB / T 16260.2 "Software Engineering Product Quality Part 2: Internal Quality", GB / T 16260.3 "Software Engineering Product Quality Part 3: External Quality", and GB / T 16260.4 "Software Engineering Product Quality Part 4: Measurement of Usage Quality". The system hierarchy of the spatial heterogeneity analysis method for power facility flood disasters includes a data layer, a business logic layer, and a presentation layer.

[0109] As an optional embodiment, the data layer is used to receive disaster warnings such as heavy rainfall defense alerts and flood disaster emergency response notices issued by the Emergency Management Department website, and initiate the spatial heterogeneity analysis process for flood-affected power facilities; to assess whether it is necessary to activate the emergency response level for power facilities based on the disaster warning information from the heavy rainfall defense alerts and flood disaster emergency response notices, and to issue warning notices; and to receive power geographic information maps from the power geographic information system, obtain the boundary range of the power facility area belonging to the waterlogged area, and calculate the individual area S of the affected power facility area. i and the total area S of the affected power facilities n ; Receive water level monitoring information from the damaged power facilities;

[0110] Specifically, the data layer is used to collect information on heavy rainfall prevention warnings and flood disaster emergency response notices (including emergency response level, affected area, cumulative rainfall, river water level, and reservoir water level) and flood risk maps issued by the local emergency management department website through the front-end acquisition server, as well as liquid level sensing and monitoring information (liquid level height data and liquid level monitoring time) of the power facilities themselves. The data sourced from the Emergency Management Department, including heavy rainfall warnings and flood disaster emergency response notifications (including emergency response level, affected area, cumulative rainfall, river water level, and reservoir water level), conforms to the provisions of GB / T 50138 "Water Level Observation Standard". Data exchange between the data layer and the Emergency Management Department website conforms to the relevant provisions of SL / Z 388 "Real-time Water Information Exchange Protocol". The flat networking architecture, data transmission link protocol, and communication protocol between the data layer and the liquid level sensors on the power facilities comply with the relevant provisions of SL / T 812.1 "Water Conservancy Monitoring Data Transmission Protocol Part 1: General Rules". Furthermore, the interface specifications between the data layer and the Emergency Management Department website and the liquid level sensors on the power facilities comply with the relevant provisions of Q / CSG 1204012 "Technical Specification for Communication Network Production Application Interface". Simultaneously, the front-end data acquisition server is located in a secure access zone, which meets the network security requirements for data access when using public communication networks (excluding the Internet) and wireless communication networks (GPRS, CDMA, 230MHz, WLAN, etc.).

[0111] Optionally, data exchange refers to the transmission, reception, interpretation, and parsing of data.

[0112] Optionally, a flattened network architecture refers to a flood disaster monitoring system where the data layer directly receives, stores, processes, publishes, and queries monitoring data from the liquid level sensors on the power facility itself.

[0113] Optionally, the data layer isolation gateway can handle data from the Emergency Management Department website and liquid level sensors with a throughput of more than 600 megabits per second and a system latency of less than 100 milliseconds.

[0114] It is also used to collect power geographic information maps and their graphic codes from the power geographic information system of the power grid enterprise through the data acquisition server, and to collect power facility ledger information, location information of each disaster-stricken power facility area, and flood control standard information from the power grid management platform of the power grid enterprise. Among them, the processing and information exchange codes of equipment spatial geographic attribute information from the power geographic information system refer to the provisions of DL / T 397 "Classification and Code of Graphic Symbols for Power Geographic Information System", and the data exchange between the data layer and the power geographic information system refers to the provisions of GB / T 17798 "Geospatial Data Exchange Format"; at the same time, the interface specifications between the data layer and the power geographic information system and the power grid management platform comply with the relevant provisions of Q / CSG 1204012 "Technical Specification for Interface of Production Application of Communication Network".

[0115] The data layer is also used to remotely debug and maintain the liquid level sensors of the power facility body by guiding the server.

[0116] The data layer also includes a real-time database server and a relational database server, used to store data related to the monitoring and analysis results of water level height, degree, and time in the affected power facility areas. The relational database stores power geographic information maps and their graphic codes from the power geographic information system, flood risk maps, and power facility ledger information, location information of each affected power facility area, and flood control standard information from the power grid management platform. The real-time database stores heavy rainfall defense warnings, flood disaster emergency response notifications, and water level sensor monitoring information from the power facilities themselves.

[0117] As an optional embodiment, the business logic layer is used to construct a neural network to measure the extent of damage to the power facility area due to the disaster based on the water level sensing and monitoring information of the damaged power facility itself, the individual area of ​​the damaged power facility area and the total area of ​​the damaged power facility area, and output the monitoring and analysis results of the damaged power facility area.

[0118] Specifically, the business logic layer deploys a neural network on the application server to solve for the flood water level monitoring and analysis results of power facilities. It takes as input the water level sensor monitoring information of the affected power facility's location and the power facility itself within the water level monitoring time T, and calculates the real-time water level monitoring surface height of the affected power facility area. Average water level monitoring surface height Submerged moment T j The monitoring and analysis results of flood impact level and flood water level spatial distribution index are provided; and the individual area S of each flood-affected power facility area corresponding to the marked water level monitoring height and time is output in real time. i The total area of ​​the affected power facilities is S n The display image.

[0119] As an optional implementation, the presentation layer is used to display the monitoring and analysis results and related basic data of the affected power facility area.

[0120] Specifically, the presentation layer outputs a real-time map showing the extent of flood-inundated power facilities; and it is used to publish the real-time water level monitoring elevation of the affected power facility areas to technical personnel in production technology, safety supervision, dispatching and operation, marketing, supply chain, scientific research, power grid planning, and power infrastructure departments within the power grid company via a web server. Average water level monitoring surface height Submerged moment T jThe monitoring and analysis results of flood impact level and flood water level spatial distribution index, as well as real-time monitoring maps of the corresponding flood-affected power facilities areas, provide technical personnel with basic data for judging whether flood water levels are evenly distributed and the location of the flood center.

[0121] Preferably, the front-end acquisition server, the boot server, the data acquisition server, the boot server, the application server, the database server, and the web server are deployed in the data center computer room of the provincial power grid company's production command center.

[0122] Preferably, the front-end acquisition server, the boot server, and the data acquisition server are NF5270M5 2U rack servers each equipped with four 8-core Xeon E7 V4 series CPUs.

[0123] Preferably, the application server is an NF5270M52U rack server equipped with four 10-core Xeon Silver series CPUs.

[0124] Preferably, both the database server and the web server are NF5180M5 1U rack servers equipped with two 8-core Xeon E7 V4 series CPUs.

[0125] Preferably, the latency for user login and access to the presentation layer web server is no more than 2 seconds.

[0126] Preferably, the presentation layer acquires the real-time water level monitoring surface height of the affected power facility area. Average water level monitoring surface height Submerged moment T j After monitoring and analyzing the flood impact level and the flood water level spatial distribution index, a display map of the flood water level monitoring of power facilities can be output in real time within 60 seconds.

[0127] This invention is not limited to the specific embodiments described above. The above are merely preferred embodiments of this invention and are not intended to limit the invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

[0128] Example 3

[0129] According to another aspect of the present invention, a more specific system for analyzing the spatial heterogeneity of power facility flood damage is also provided. Figure 3 This is a schematic diagram of a power facility flood disaster spatial heterogeneity analysis system according to an embodiment of the present invention, such as... Figure 3As shown, the flood disaster monitoring system includes a liquid level sensor, a front-end data acquisition server, a guidance server, a data acquisition server, a guidance server, a real-time database server, a relational database server, an application server, a web server, an engineer's workstation, an operator's workstation, an internal network switch, an external network switch, and a firewall. The liquid level sensor is deployed at the power facility to be monitored and is connected to the front-end data acquisition server via a wireless communication network; the remaining devices are interconnected through a comprehensive power data network and deployed at the provincial power grid company's production command center.

[0130] The level sensor is deployed on-site to monitor the water level E of the power facility. i The water level monitoring time T. Liquid level sensors include piezoresistive liquid level sensors, capacitive liquid level sensors, inductive liquid level sensors, and strain gauge liquid level sensors. The output methods are divided into three types: analog output, digital output, and analog and digital hybrid output. Their basic parameters, requirements, test methods, and inspection rules comply with the relevant provisions of JB / T 12598 "Submersible Liquid Level Sensors".

[0131] The external network switch and firewall are deployed in the communication room of the provincial power grid company's production command center. They are used to exchange and scan data and instructions with the local emergency management department's website. The data exchange and parsing comply with the relevant provisions of SL / Z 388 "Real-time Water Information Exchange Protocol".

[0132] The number of front-end acquisition server, guide server, data acquisition server, guide server, real-time database server, relational database server, application server, and web server is one set each, and they are deployed in the data center computer room of the provincial power grid company's production command center.

[0133] The front-end acquisition server, boot server, and data acquisition server of the spatial heterogeneity analysis system for flood-affected power facilities are all NF5280M5 2U rack-mount servers, equipped with four 8-core Xeon E7 V4 series CPUs, supporting hyper-threading, with a cache of no less than 25 megabytes and a native clock speed of no less than 1.9 GHz; the memory configuration is no less than 128 gigabytes of DDR4 memory, with a maximum total number of memory slots of no less than 64; the hard drive configuration is four 600 gigabyte, 12,000 RPM serial-connected SCSI hard drives; the network card is equipped with eight independent 10 / 100 / 1000M-BaseT Ethernet ports;

[0134] The web server and database server of the spatial heterogeneity analysis system for flood-affected power facilities are both NF5280M5 2U rack servers, equipped with two 8-core Xeon E7 V4 series CPUs, supporting hyper-threading, with a cache of no less than 25 megabytes and a native clock speed of no less than 1.9 GHz; the memory configuration is no less than 128 gigabytes of DDR4 memory, with a maximum total number of memory slots of no less than 64; the hard drive configuration is four 600 gigabyte, 12,000 RPM serial-connected SCSI hard drives; the network card is equipped with eight independent 10 / 100 / 1000M-BaseT Ethernet ports.

[0135] One front-end data acquisition server, located in the data center of the provincial power grid company's production command center, carries the data layer. Its data exchange, customized protocols, deployment architecture, data transmission security specifications, and protection mechanisms must comply with the provisions of Q / CSG 1210017 "Technical Specifications for Internal and External Network Data Security Exchange Platform," Q / CSG1210007 "Data Transmission Security Standards," and Q / CSG 1204009 "Technical Specifications for Security Protection of Power Monitoring Systems." It collects information from the Emergency Management Department's website regarding heavy rainfall warnings, flood disaster emergency response notices (including emergency response levels, affected areas, cumulative rainfall, river water levels, and reservoir water levels), and flood risk maps, as well as water level monitoring heights (E) of the power facilities collected by level sensors. i The system monitors water levels at time T and provides data services to relational database servers and real-time database servers. The front-end data acquisition server scans the exchanged data and instructions through a firewall, closes abnormal ports to prevent intrusion, and collects heavy rainfall defense warnings, flood disaster emergency response notices (including emergency response level, affected area, cumulative rainfall, river water level, reservoir water level) and flood risk maps from the website of the Emergency Management Department. The format of its time, affected area, rainfall and other element fields and identifiers all comply with the provisions of SL / T 591 "Historical Major Flood Database Table Structure and Identifiers".

[0136] The front-end boot server carries the data layer, with one set deployed in the data center of the provincial power grid company's production command center. Its data exchange, customized protocols, deployment architecture, data transmission security specifications, and protection mechanisms should comply with the provisions of Q / CSG 1210017 "Technical Specifications for Internal and External Network Data Security Exchange Platform", Q / CSG1210007 "Data Transmission Security Standards", and Q / CSG 1204009 "Technical Specifications for Security Protection of Power Monitoring Systems". It also remotely debugs and maintains the liquid level sensors of the power facilities through the external network switch.

[0137] The data acquisition server, which carries the data layer, consists of one set and is deployed in the data center of the provincial power grid company's production command center. Its data exchange, customized protocols, deployment architecture, data transmission security specifications, and protection mechanisms should comply with the provisions of Q / CSG 1210017 "Technical Specifications for Internal and External Network Data Security Exchange Platform", Q / CSG1210007 "Data Transmission Security Standards", and Q / CSG 1204009 "Technical Specifications for Security Protection of Power Monitoring Systems". It collects power geographic information maps (including power plants with code 1000000, transmission corridors with code 3010000, substations with code 2000000, and power supply areas with code 6030000) from the power geographic information system intermediate database server through the internal network switch, as well as relevant information on power facilities (including ledger information, location information of each disaster-stricken power facility area, and flood control standard information) from the power grid management platform, and provides data services to the relational database server.

[0138] The database server, which carries the data layer, includes one real-time database server and one relational database server. Deployed in the data center of the provincial power grid company's production command center, it stores the water level monitoring results and related data required for the analysis of water level monitoring height and time in areas affected by disasters. Its data exchange, customized protocols, data transmission security specifications, and protection mechanisms should comply with GB / T 20273 "Security Technical Requirements for Database Management Systems" and Q / CSG 1210007 "Data Transmission Security Standards." The relational database server stores flood risk maps published on the website of the Emergency Management Department, power geographic information maps in the intermediate database server of the power geographic information system, relevant information about power facilities in the power grid management platform, and flood control emergency response levels. The real-time database server stores flood disaster emergency response notices and heavy rainfall defense warnings published on the website of the Emergency Management Department, water level sensor monitoring data of the power facilities themselves, flood impact levels, and flood water level spatial distribution index, and provides data services to the application server through an internal network switch.

[0139] The application server, which carries the business logic layer, consists of one set and is deployed in the data center of the provincial power grid company's production command center. The server is an NF5270M5 2U rackmount server, equipped with four 10-core Xeon Silver series CPUs, supporting Hyper-Threading, with a cache of no less than 20 megabytes and a native clock speed of no less than 2.0 GHz; the memory configuration is no less than 128 gigabytes of DDR4 memory, with a maximum total number of memory slots of no less than 64; the hard drive configuration is two 600 gigabyte, 12,000 RPM serial-connected SCSI hard drives.

[0140] This neural network is used to deploy on an application server to solve for the situation of flooded power facilities. The input layer takes into account, at specific times, the flood disaster emergency response notices and heavy rainfall warnings issued by the Emergency Management Department, the liquid level sensor information of the power facilities themselves, and the individual area S of the power facilities affected by the flood. i and the total area S of all power facilities n Real-time water level monitoring surface height within the affected power facility area is calculated in the hidden layer. Average water level monitoring surface height Submerged moment T j The system outputs the spatial distribution index of floodwater level and derives the flood impact level based on the flood control standards for power facilities in GB 50201 "Flood Control Standard"; the output layer outputs the height of the real-time water level monitoring surface. Average water level monitoring surface height Submerged moment T j The system generates maps showing the flood impact level, the flood water level spatial distribution index, and the real-time monitoring and analysis results of the flood water level of the corresponding power facilities. It also provides data services to the web server via a switch to assess whether the flood water level is evenly distributed and the location of the flood center.

[0141] The web server, housing the presentation layer, consists of one set deployed in the data center of the provincial power grid company's production command center. Its access technology measures should comply with Q / CSG 1204009 "Technical Specifications for Security Protection of Power Monitoring Systems," and its management measures should comply with Q / CSG 212001 "Management Measures for Security Protection of Power Monitoring Systems." The maps and display diagrams in its early warning service graphics should comply with QX / T481 "Early Warning Service Graphics for Meteorological Risks of Floods, Flash Floods, and Geological Disasters Induced by Heavy Rainfall" and DL / T397 "Classification and Code of Graphic Symbols for Power Geographic Information Systems." Its output should include the individual area S of each affected power facility. i and total area S n The requirements for the illustration and layout of the display map shall comply with the provisions of SL / T 483 "Guidelines for the Compilation of Flood Risk Maps". The system shall provide flood disaster data monitoring services to personnel at all levels of power production command and decision-making and emergency response through the intranet switch. When users access the Web server of the flood disaster monitoring system in the area where the disaster-stricken power facilities are located, the system's access verification requirements for users shall comply with the provisions of GB / T20272 "Operating System Security Technical Requirements".

[0142] One set of internal network switches is deployed in the communication room of the provincial power grid company's production command center. The physical interfaces, protocols, interconnection, and compatibility requirements of the internal network switches shall comply with the provisions of Q / CSG1204016.3 "Part 3: Technical Requirements for Data Network Equipment". It is used to connect data acquisition servers, boot servers, relational database data servers, application servers, web servers, engineer stations, operator stations, external network switches, and firewalls through a power integrated data network composed of optical fibers.

[0143] One external network switch is deployed in the communication room of the provincial power grid company's production command center. It is equipped with 24 10 / 100 / 1000 Mbps adaptive Ethernet ports, a switching capacity of no less than 150 Mbps, a Layer 2 and Layer 3 packet forwarding capacity of no less than 95 Mbps, a concurrent flow count of no less than 400,000 packets, a data packet forwarding latency of less than 1 millisecond, and supports LDP MD5, VRRP MD5, and NTP MD5 encryption authentication. The external network switch is used to connect to the front-end server and real-time database data server via a power integrated data network composed of optical fibers.

[0144] One firewall is deployed in the communication room of the provincial power grid company's production command center. The firewall has access control and logical isolation functions.

[0145] One engineering workstation is deployed in the monitoring room of the provincial power grid company's production command center. It is a ThinkStation P920 series dual-path workstation.

[0146] The configuration principles and technical requirements of the engineering station should comply with the requirements of Q / CSG 1203005 "Technical Guidelines for Secondary Power Equipment" regarding computer monitoring systems, and should be used to provide services for system administrators to maintain the flood disaster monitoring system.

[0147] The operator station consists of one unit, which is deployed in the monitoring room of the provincial power grid company's production command center. The ThinkStation K series workstation is selected.

[0148] The configuration principles and technical requirements of the engineering station and operator station should comply with the requirements of Q / CSG 1203005 "Technical Guidelines for Secondary Power Equipment" regarding computer monitoring systems, and should be used to provide system administrators and on-duty personnel with technical services regarding load transfer, flood control reinforcement, emergency power restoration, material allocation, customer service, and early warning of disaster severity.

[0149] The physical interfaces, protocols, interconnection, and compatibility requirements of the internal network switches and the flood disaster monitoring system's database server, front-end acquisition server, boot server, data acquisition server, boot server, application server, web server, engineer station, operator station, and external network switches should comply with the provisions of Q / CSG1204016.3 "Part 3: Technical Requirements for Data Network Equipment". The configuration, settings, and partitioning requirements of liquid level sensors, real-time database servers, relational database servers, front-end acquisition servers, boot servers, data acquisition servers, boot servers, application servers, web servers, engineer stations, operator stations, internal network switches, external network switches, and firewalls should preferably comply with the provisions of Q / CSG 212001 "Administrative Measures for Security Protection of Power Monitoring Systems" and Q / CSG 1204009 "Technical Specifications for Security Protection of Power Monitoring Systems". The main performance indicators of the flood disaster monitoring system shall comply with the provisions of GB / T 16260.2 "Software Engineering Product Quality Part 2: Internal Quality", GB / T 16260.3 "Software Engineering Product Quality Part 3: External Quality", and Q / CSG 1204016.3 "Data Network Technical Specifications Part 3: Technical Requirements for Data Network Equipment". The security function requirements of the flood disaster monitoring system shall comply with the provisions of GB / T 20271 "Information Security Technology: General Security Technical Requirements for Information Systems".

[0150] In the specific installation and deployment process of the flood disaster monitoring system, firstly, level sensors are deployed at the power facility site. Secondly, front-end acquisition servers, guidance servers, data acquisition servers, guidance servers, relational database servers, real-time database servers, application servers, and web servers are deployed in cabinets within the data center of the provincial power grid company's production command center; there is only one set of each type of equipment. Thirdly, internal network switches, external network switches, and firewalls are deployed in cabinets within the communication equipment room of the provincial power grid company's production command center; there is only one set of each type of equipment. After identity authentication and data encryption, the system remotely collects flood disaster emergency response notices and heavy rainfall defense warnings from the local emergency management department's website, as well as level sensor information from the power facilities themselves, through the external network switches and firewalls. It also collects power geographic information maps from the power geographic information system and relevant information about power facilities from the power grid management platform through the external network switches. Finally, the engineer station and operator station are deployed in the monitoring room of the provincial power grid company's production command center. There is one and only one engineer station and two operator stations. They are used to remotely monitor the monitoring and analysis results of power facilities affected by floods, and to determine whether the flood level is evenly distributed and the location of the flood center.

[0151] As a member unit of the Emergency Management Department, upon receiving heavy rainfall warnings and flood disaster emergency response notices issued by local emergency management departments, the power grid company, facing potential disasters such as torrential rains, flash floods, snowmelt floods, ice jam floods, and dam-break floods, and in accordance with the requirements of the emergency plan for typhoon, flood, and drought disaster prevention, initiated a process for analyzing the spatial heterogeneity of power facilities affected by floods. It ensured power supply to disaster-stricken areas within its jurisdiction, prioritized emergency power supply for flood control and disaster relief, strictly implemented the annual flood season control and operation plan for large reservoirs (hydropower stations) issued by the Emergency Management Department, and cooperated with hydropower stations in flood control and safety scheduling. In the specific monitoring and early warning process of the power facility flood water level monitoring system, the Emergency Management Department first initiated the flood forecasting process according to the provisions of SL 250 "Hydrological Information Forecasting Specification" and observed water information according to the provisions of GB / T 50138 "Water Level Observation Standard". Secondly, technical personnel from the provincial power grid company's production command center, referring to the general requirements and regulations of the "Emergency Plan for Typhoon, Flood and Drought Disaster Prevention," activated the emergency response level and its plan, initiating the process of predicting the extent of flood-inundated power facilities. Thirdly, they retrieved and analyzed power facilities from the power geographic information map in the power geographic information system; and, under spatial association rules, determined whether the affected power facility area was within the boundary of the flooded area based on spatial geographic attribute information. In the flood disaster monitoring system, the graphic code for the affected power facility area was marked as 7020004, thereby obtaining and displaying the individual area S of the power facilities affected by the flood disaster. i The total area S of all power facilities n Then, the flood disaster monitoring system calculates the real-time water level height in the affected power facility area based on information from the liquid level sensors on the power facilities themselves. Average water level monitoring surface height Submerged moment T j Based on the monitoring and analysis results of flood impact level and flood water level spatial distribution index, the real-time water level monitoring surface height of the corresponding affected power facility area is released in accordance with the provisions of QX / T 549 "Specifications for the Dissemination of Meteorological Disaster Early Warning Information Website". Average water level monitoring surface height Submerged moment T jThe monitoring and analysis results of flood impact level and flood water level spatial distribution index are used to monitor and assess the development and changes of the flood in real time, and output a map (general map) showing the area where power facilities are affected by the flood. Finally, technical personnel from the provincial and municipal production command centers, in accordance with the operation control principles and objectives stipulated in DL / T 1883 "Technical Guidelines for Distribution Network Operation Control", Q / CSG 1205003 "Standards for Operation Management of Medium and Low Voltage Distribution", and Q / CSG430043 "Business Guidance for Post-Emergency Response Assessment", propose technical decision-making suggestions for power restoration for users affected by flood power outages. These suggestions are then handled by technical personnel from relevant power supply bureaus. If necessary, measures such as adjusting operation modes during the disaster, restoring power after the disaster, and adding flood prevention and drainage reinforcement can also be taken.

[0152] The main implementation details in the specific handling process are as follows:

[0153] In one exemplary implementation, the provincial power grid enterprise's production command center, in conjunction with its production technology department, calculates the real-time water level monitoring surface height in the flood-affected power facility area based on the spatial geographic attribute information of the distribution facilities within the affected power facility area, the heavy rainfall prevention warnings issued by the website, the flood disaster emergency response notification information (including emergency response level, affected area, cumulative rainfall, river water level, reservoir water level), the flood risk map, and the liquid level sensor monitoring information of the power facility itself. Average water level monitoring surface height Submerged moment T j Based on the monitoring and analysis results of flood impact level and flood water level spatial distribution index, suggestions are made for emergency response measures such as emergency repair and power restoration.

[0154] In one exemplary implementation, the provincial power grid enterprise's production command center, in conjunction with the safety supervision department, upon receiving a heavy rainfall prevention warning or flood disaster emergency response notice issued by the local emergency management department, compares the flood impact level of the power facilities affected by the flood disaster with the individual area S. i and the total area S of all power facilities n Assess whether the floodwater level is evenly distributed in the area where the power facilities are located and the location of the flood center, and issue early warning notices regarding Level I to IV emergency responses to the relevant municipal power supply bureaus; and based on the time T of the flooding... j Collect and understand the disaster situation in a timely manner.

[0155] In one exemplary implementation, the provincial power grid enterprise's production command center, in conjunction with the power dispatching department, guides the power grid enterprise's production department in the area where the power facilities are located to operate according to the principle of "power off when water rises, power back when water recedes," based on the real-time water level monitoring surface height. A separate area S facing power facilities affected by flood disaster i and the total area S of all power facilities n Emergency power outages were implemented to support flood control and disaster relief efforts; based on water level monitoring time T, the flood center and flood evolution trend were predicted, and load transfer measures were taken, and based on the time of inundation T... j The timing of power outages guides the restoration of power, ensuring the safe and stable operation of the power system.

[0156] In one exemplary implementation, the production command center of a prefecture-level city power grid enterprise, in conjunction with its marketing department, utilizes a power facility flood level monitoring system to guide the power supply branches and substations under the prefecture-level city power supply bureau in assessing user power distribution facilities in areas affected by flooding. These facilities are expected to experience continuous power outages (i.e., outages lasting longer than 3 minutes). Based on the flood risk distribution map and operational experience, a comprehensive investigation and handling of distribution facilities affected by flooding and waterlogging is organized. This primarily focuses on the real-time water level monitoring surface height in the area where the power facilities are located. Submerged moment T j Based on the flood impact level and monitoring analysis results, the system proposes relevant decision-making suggestions regarding the order of emergency power restoration in each transformer substation area, and releases the progress of emergency power restoration to power users to alleviate public anxiety. For affected power facilities that belong to power users, relevant power supply bureau technicians will issue early warning notices and provide guidance or assistance in carrying out emergency response measures in accordance with the relevant provisions of GB / T37136 "Code for Operation and Maintenance of Power Supply and Distribution Facilities for Power Users". The power supply bureau provides technical support for emergency power restoration to users, mainly referring to low-voltage users receiving power at 380V / 220V, medium-voltage users receiving power at 10 (6, 20) kV, and high-voltage users receiving power at 35 kV and above. After heavy rainfall, the power facility flood level monitoring system will also assist power supply bureau technicians in calculating the average number of users without power and the average outage time for each user. The average number of users experiencing power outages refers to the average number of users experiencing each power outage during the statistical period, denoted as (users / outage); the average outage time per user refers to the average outage time per user during the statistical period, denoted as (hours / user).

[0157] In one exemplary implementation, the provincial power grid company's production command center, in conjunction with the supply chain department, focuses on the average water level monitoring surface height in the area where the power facilities are located, targeting the region affected by flooding. Submerged moment T jThe authorities assessed whether the floodwaters were evenly distributed and the location of the flood center. They also compared the information with the power facility register on the power grid management platform and allocated different distribution transformers (oil-immersed and dry-type), overhead distribution line fittings, concrete poles, and other emergency relief supplies according to the extent of the damage to support the emergency power restoration efforts.

[0158] In one exemplary implementation, after a flood, technical and research personnel at the provincial power grid company's production command center use engineering workstations to select the coordinates of no fewer than 20 prominent target points (detection points) on a power geographic information map, including distribution line towers, 20 transmission line sections, and other equipment. These coordinates are then compared with the coordinates of the corresponding target points (detection points) on a remote sensing image of the water level monitoring height in the affected power facility area. The measurement error of the flood disaster monitoring system in the affected power facility area is calculated to continuously iterate and improve the monitoring system. The calculation formula is as follows:

[0159]

[0160] In the formula, m s Δu and Δv both refer to the difference in coordinates of the detection points (millimeters), and y refers to the number of detection points (units), which shall not be less than 20.

[0161] In one exemplary implementation, the provincial power grid enterprise's production command center, in conjunction with the power grid planning department, sorts out the water level monitoring surface height levels of the areas where power facilities are located under each round of flood disasters, and adjusts the flood control standards according to the return period reached in the area, providing decision-making information for planning, renovation, and reinforcement of power facilities for flood prevention and control.

[0162] In one exemplary implementation, after a flood, the provincial power grid company's production command center, in conjunction with the power grid infrastructure department, describes the uniformity of the spatial distribution of floodwater levels based on the spatial distribution index of the affected power facility areas. The slope between any two points on the curve of the spatial distribution of water levels monitored by power facilities represents the floodwater level of that sub-interval; therefore, the interval with the largest slope is the location of the flood center. (Technical personnel should refer to the embodiment.) Figure 4 It can be seen that the flood center of the real curve is located far from the monitoring sampling point, while the rainfall center of the dashed curve is located close to the monitoring sampling point. Therefore, appropriate flood control reinforcement materials should be selected and corresponding modification measures should be taken during the construction of power facilities.

[0163] In one exemplary implementation, after a flood, technical personnel at the provincial power grid company's production command center assess whether monitoring sampling points are sufficient and their locations are appropriate based on the flood center of the submerged area, propose plans for adding or adjusting liquid level sensors, and remotely debug and maintain the liquid level sensors on the power facilities themselves by guiding the server.

[0164] Example 4

[0165] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, the device where the computer-readable storage medium is located executes any of the above-described methods for analyzing the spatial heterogeneity of power facility flood disasters.

[0166] Optionally, in this embodiment, the computer-readable storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals, and the computer-readable storage medium includes a stored program.

[0167] Optionally, during program execution, the device containing the computer-readable storage medium may perform the following functions: upon receiving a disaster warning such as a heavy rainfall defense alert or a flood disaster emergency response notification, initiate a process for analyzing the spatial heterogeneity of power facility flood damage; input the disaster warning information from the heavy rainfall defense alert or the flood disaster emergency response notification, determine whether the power facility area is affected, and if the power facility area is affected, issue a warning notification and proceed to the next step; input a power geographic information map, obtain the boundary range of the power facility area belonging to the waterlogged area, and calculate the individual area of ​​the affected power facility area and the total area of ​​the affected power facility area; input the water level sensor monitoring information of the affected power facility body; based on the water level sensor monitoring information of the affected power facility body, the individual area of ​​the affected power facility area, and the total area of ​​the affected power facility area, construct a neural network to measure the extent of damage to the power facility area caused by the disaster, and output the monitoring and analysis results of the affected power facility area.

[0168] Example 5

[0169] According to another aspect of the present invention, a processor is also provided for running a program, wherein the program executes the above-described method for analyzing the spatial heterogeneity of power facility flood damage.

[0170] This invention provides a device that includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps of a method for analyzing the spatial heterogeneity of power facility flood damage.

[0171] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0172] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0173] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The system embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces, and the indirect coupling or communication connection of units or modules may be electrical or other forms. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0174] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0175] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0176] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for analyzing the spatial heterogeneity of power facilities affected by floods, characterized in that, include: After receiving a disaster warning such as a heavy rainfall defense alert or a flood disaster emergency response notification, the process of analyzing the spatial heterogeneity of power facilities affected by floods is initiated. Input disaster warning information such as heavy rainfall defense warnings and flood disaster emergency response notices, assess whether the area will be affected by power facilities, and if the area is affected by power facilities, issue a warning notice and proceed to the next step; Input a power geographic information map to obtain the boundary range of the power facility area that belongs to the waterlogged area, and calculate the individual area of ​​the affected power facility area and the total area of ​​the affected power facility area; Input water level sensor monitoring information of the damaged power facilities; Based on the water level sensing and monitoring information of the damaged power facility body, the individual area of ​​the damaged power facility area and the total area of ​​the damaged power facility area, a neural network is constructed to measure the extent of damage to the power facility area due to the disaster, and the monitoring and analysis results of the spatial heterogeneity of the damaged power facility area are output. The monitoring and analysis results include: water level information in the affected power facility area, flood impact level, and flood spatial distribution index. Index And real-time mapping of individual areas and total area; The spatial distribution index of floods is obtained by solving a neural network to measure the extent of disaster damage to power facilities. Index include: Based on the water level sensor monitoring information of the damaged power facilities, a spatial distribution curve of the monitored flood water level was plotted. The distribution of the spatial distribution curve of the flood level is judged. If the flood level is uniformly distributed, the spatial distribution curve degenerates into a straight line OL, and the ordinate of point L is the average water level monitoring surface height of the disaster area. If the flood center of the flooded area is far away from the monitoring sampling point, the spatial distribution curve is above the straight line OL. Conversely, if the flood center of the flooded area is close to the monitoring sampling point, the spatial distribution curve is below the straight line OL. The more tortuous the spatial distribution curve, the more uneven the spatial distribution of the monitored water level. If the area between the spatial distribution curve and the straight line OL is A, and the spatial distribution curve is above the straight line OL, then A is positive; otherwise, A is negative. If the area of ​​the disaster-stricken area enclosed by the straight line OL, the horizontal axis, and the right frame is B, then the ratio of A to B reflects the degree of unevenness in the spatial distribution of the monitored water level. Calculate the spatial distribution index of floodwater level based on A and B. Index : In the above formula, m For the area under constant flow, E For water level monitoring height, f j This represents the area ratio of the surface at each water level to the area of ​​the affected power facilities. j These are the area numbers of the power facilities where different water level sensors are located. E i The water level monitoring height for the power facility itself. i These are the serial numbers of different water level sensors.

2. The method for analyzing the spatial heterogeneity of power facilities affected by floods according to claim 1, characterized in that, The water level information of the affected power facility area includes: the height of the water level monitoring surface in the affected power facility area, the average water level monitoring surface height, and the time of flooding.

3. The method for analyzing the spatial heterogeneity of power facilities affected by floods according to claim 1, characterized in that, The disaster early warning information includes: emergency response for power facility areas, alarm content, and flood risk maps.

4. The method for analyzing the spatial heterogeneity of power facilities affected by floods according to claim 1, characterized in that, To determine the boundary range of a power facility area within a flooded area: Under spatial association rules, and in conjunction with a flood risk map, determine whether the power facility area in the power geographic information map is located within a flood-prone area in the flood risk map. If so, the power facility area is within the boundary range of a flooded area.

5. The method for analyzing the spatial heterogeneity of power facilities affected by floods according to claim 1, characterized in that, Average water level monitoring surface height in the disaster-stricken power facility area The expression is: In the above formula, E i The water level monitoring height for the power facility itself. μ i The weights for the area of ​​different region types.

6. A system for analyzing the spatial heterogeneity of power facilities affected by floods, characterized in that, The method described in any one of claims 1-5 includes: The data layer receives disaster warnings from heavy rainfall defense alerts and flood disaster emergency response notices, and initiates a process for analyzing the spatial heterogeneity of power facilities affected by floods; it receives disaster warning information from heavy rainfall defense alerts and flood disaster emergency response notices, assesses whether the power facility area is affected, and if so, issues a warning notice and proceeds to the next step; it receives power geographic information maps, obtains the boundary range of the power facility area belonging to the waterlogged area, and calculates the individual area of ​​the affected power facility area and the total area of ​​the affected power facility area; it also receives water level sensor monitoring information of the affected power facilities themselves. The business logic layer is used to construct a neural network to measure the extent of damage to the power facility area due to the disaster based on the water level sensing and monitoring information of the damaged power facility body, the individual area of ​​the damaged power facility area and the total area of ​​the damaged power facility area, and output the monitoring and analysis results of the damaged power facility area. The presentation layer is used to display the monitoring and analysis results and related basic data of the affected power facility area.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the spatial heterogeneity analysis method for flood-affected power facilities as described in any one of claims 1 to 5.

8. A processor, characterized in that, The processor is used to run a program, wherein the program executes the spatial heterogeneity analysis method for flood-affected power facilities as described in any one of claims 1 to 5.

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