A concrete electric pole flood disaster satellite image monitoring method and system

Abstract

The application discloses a kind of concrete electric pole flood disaster satellite image monitoring method and system, obtain mixed water level information, judge whether need to start measure concrete electric pole flood disaster measurement process;When need to start, obtain electric power geographic information map, judge whether concrete electric pole in electric power geographic information map is in water accumulation area in power supply station area;When concrete electric pole in power supply station area is in water accumulation area, calculate the area of power supply station area affected by flood disaster;According to satellite remote sensing imaging processing data, satellite monitoring time and the area of power supply station area affected by flood disaster, construct the neural network of measurement power supply station area disaster power outage range, neural network solution, output the prediction result of concrete electric pole in power supply station area submerged state.It realizes the function of all-weather real-time monitoring flood disaster power supply station area based on meteorological hydrological climate data, remote sensing satellite data, overcomes the problem of cloud obscuring satellite, effectively serves disaster prevention and mitigation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power disaster prevention and reduction, and in particular to a monitoring method and system for concrete power poles and their power supply areas in a power distribution network damaged by floods caused by heavy rainfall. BACKGROUND

[0002] The longitudinal stress reinforcement steel of the concrete pole is a common steel of the power distribution network overhead line support point. In the process of being attacked by natural disasters such as heavy rainfall, floods, and foundation settlement, the concrete poles of 10 kilovolt and 0.4 kilovolt medium and low voltage power distribution lines generally face the risks of tilting, pole falling, and pole breaking, and even evolve into large-scale power outages.

[0003] For extreme natural disasters, the main means of disaster prevention and disaster resistance is to improve the design standard of most lines, but it is only applicable to areas with small power grid scale and high power supply reliability requirements. In the face of a large-scale power distribution network, if the line design standard is also comprehensively and substantially improved, the economic cost will inevitably exceed the risk value of the loss. At the same time, after a large area of disaster damage occurs, the effectiveness and timeliness of the repair work directly affect the reliable power supply and social and economic development.

[0004] In the face of the situation that natural disasters such as floods of small and medium rivers, mountain torrents, and geological disasters induced by heavy rainfall are increasingly frequent and the power grid scale is increasingly expanding, it is extremely important to focus on extreme natural disasters and key areas of influence, strengthen monitoring, forecasting, and early warning, and build the first line of defense against disasters. In view of this, a satellite image monitoring method and system for concrete pole flood disaster is needed. SUMMARY

[0005] The embodiment of the present application provides a satellite image monitoring method and system for concrete pole flood disaster, so as to at least solve the technical problem of cloud and fog blocking satellite in the related art.

[0006] According to an aspect of the embodiment of the present application, a satellite image monitoring method for concrete pole flood disaster is provided, comprising:

[0007] Obtaining water level information and determining whether it is necessary to start the measurement process of the concrete pole flood disaster;

[0008] When the measurement process needs to be started, obtaining a power geographic information map and determining whether the power supply area of the concrete pole in the power geographic information map is in a water accumulation area;

[0009] When the power supply area of the concrete pole is in the water accumulation area, calculating the area of the power supply area affected by the flood disaster;

[0010] According to satellite remote sensing image processing data, satellite monitoring time and the area of the power supply station area affected by the flood disaster, a neural network for measuring the power supply station area outage range caused by disasters is constructed, and the neural network is used to solve and output the prediction result of the flooded state of the power supply station area where the concrete pole is located.

[0011] Optionally, the water level information includes real-time water level, guaranteed water level and warning water level information.

[0012] Optionally, the area of the power supply station area affected by the flood disaster is displayed in the form of a picture.

[0013] Optionally, the criterion condition for starting the measurement process of the concrete pole flood disaster is that the real-time water level reaches the warning water level.

[0014] Optionally, the area of the power supply station area affected by the flood disaster includes the individual area of the power supply station area affected by the flood disaster and the total area of each power supply station area.

[0015] Optionally, the neural network includes an input layer, a hidden layer and an output layer, and the neural network is a multi-input and multi-output type neural network.

[0016] The nodes of the input layer include real-time high-resolution image data and remote sensing data bands of the area where the concrete pole is located, remote sensing information calculation characteristic values, satellite remote sensing image monitoring time at the beginning of rainfall, satellite remote sensing image real-time monitoring time after rainfall, time when the water level of the river or lake reaches the warning water level, individual area of the power supply station area affected by the flood disaster and total area of each power supply station area.

[0017] The hidden layer is used to solve the state of the power supply station area where the concrete pole is located in the flood submergence from T1 time to T2 time and the corresponding corrected measurement value, and to solve the prediction result of the flooded dynamics and duration of the power supply station area where the concrete pole is located.

[0018] The output layer is used to output a display picture of the prediction result of the flooded dynamics and duration of the power supply station area.

[0019] Optionally, the state of the power supply station area where the concrete pole is located in the flood submergence includes three states of complete submergence, rising and recession, and the three states are respectively indicated and judged by whether it is turbid water, phytoplankton-containing water or pure water, and the turbid water, phytoplankton-containing water and pure water are judged by the nanometer spectral band interval of the remote sensing reflectance spectrum.

[0020] Optionally, the concrete pole flood disaster satellite image monitoring method and system is deployed and applied in a production command center of a provincial power grid.

[0021] According to another aspect of the embodiment of the application, a concrete pole flood disaster satellite image monitoring system is also provided.

[0022] Collecting layer, used for collecting water level information, collecting data from meteorological satellite remote sensing image processing, collecting power geographic information map and its graphic code, collecting concrete pole facility account information, and position information of each power supply area;

[0023] Data layer, used for storing data related to the prediction result of the flooded state of the power supply area;

[0024] Processing layer, used for determining whether to start the measurement process of the flood disaster of the concrete pole, when the measurement process needs to be started, obtaining the power geographic information map, and determining whether the power supply area where the concrete pole is located is in the water accumulation area, when the power supply area where the concrete pole is located is in the water accumulation area, calculating the area of the power supply area affected by the flood disaster, and calculating the area of the power supply area affected by the flood disaster, constructing a neural network for measuring the power supply area disaster power outage range according to the satellite remote sensing image processing data, the satellite monitoring time and the area of the power supply area affected by the flood disaster, and the neural network solving and outputting the prediction result of the flooded state of the power supply area where the concrete pole is located;

[0025] Application layer, used for displaying and transmitting the prediction result of the flooded state of the power supply area where the concrete pole is located.

[0026] According to another aspect of the embodiment of the present application, a computer readable storage medium is also provided, which comprises a stored program, wherein the program controls the device where the computer readable storage medium is located to execute the concrete pole flood disaster satellite image monitoring method of any one of the above when the program is running.

[0027] According to another aspect of the embodiment of the present application, a processor is also provided, which is used for running a program, wherein the program executes the concrete pole flood disaster satellite image monitoring method of any one of the above when the program is running.

[0028] Compared with the prior art, the present application has the following beneficial effects:

[0029] In the embodiment of the present application, the method obtains water level information, and determines whether the measurement process of the concrete pole flood disaster needs to be started; when the measurement process needs to be started, the power geographic information map is obtained, and it is determined whether the concrete pole in the power supply area in the power geographic information map is in the water accumulation area; the area of the power supply area affected by the flood disaster is calculated; the neural network for measuring the power supply area disaster power outage range is constructed according to the satellite remote sensing imaging processed data, the satellite monitoring time and the area of the power supply area affected by the flood disaster; the neural network solves and outputs the prediction result of the flooded state of the power supply area where the concrete pole is located. The function of all-weather real-time monitoring of the flood disaster power supply area based on meteorological hydrological climate data and remote sensing satellite data is realized, the problem of satellite obstruction by clouds and fog is overcome, the measurement result of the flooding dynamic and duration of the power supply area has excellent accuracy, which helps the production command center to guide the emergency response work such as load transfer, facility reinforcement, repair and power supply, material allocation and the like, and greatly reduces the downtime duration of the user power supply and distribution facility. BRIEF DESCRIPTION OF DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the present application, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only one embodiment of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0031] Figure 1 is a flow chart of a concrete pole flood disaster satellite image monitoring method according to an embodiment of the present application;

[0032] Figure 2 is a schematic diagram of a power supply area flooded dynamic monitoring and duration measurement neural network according to an embodiment of the present application;

[0033] Figure 3 is a schematic diagram of a strong concrete pole flood disaster satellite image monitoring system according to an embodiment of the present application. DETAILED DESCRIPTION

[0034] It should be noted that the embodiments and features in the present application can be combined with each other without conflict. The present application will be described in detail below with reference to the drawings and in combination with the embodiments.

[0035] In order to better understand the technical scheme of the present application, the technical scheme in the embodiments of the present application will be clearly and completely described in the following with reference to the accompanying 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 the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present application.

[0036] It should be noted that the terms "first", "second", and the like in the description and claims of the present application and the above-mentioned accompanying drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to the process, method, product or device.

[0037] Embodiment 1

[0038] According to an embodiment of the present application, an embodiment of a concrete pole flood disaster satellite image monitoring method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in a different order.

[0039] As Figure 1 is a flowchart of a concrete pole flood disaster satellite image monitoring method according to an embodiment of the present application, as Figure 1 shown, the method comprises the following steps:

[0040] Step S10, obtaining water level information of the area where the concrete pole is located, and judging whether it is necessary to start the measurement process of measuring the flood disaster of the concrete pole.

[0041] As an optional embodiment, the area where the concrete pole is located refers to the water accumulation area near the river of the concrete pole, and the area takes the river around as the watershed, and the watershed includes the ridge line of the mountain ridge and the highland.

[0042] As an optional embodiment, the water level information of the area where the concrete pole is located is obtained from the flood operation forecasting subsystem of the provincial hydrological center. Specifically, the flood operation forecasting subsystem of the provincial hydrological center comes from 3.4 flood operation forecasting subsystem in SL 250-2000 "Hydrological Information Forecasting Specification".

[0043] As an optional embodiment, the water level information includes real-time water level, guaranteed water level and warning water level information.

[0044] Specifically, the warning water level refers to the water level of a river or lake that will cause danger to a flood control project or a protection area; and the guaranteed water level refers to the highest flood level that can guarantee the safe operation of the flood control project or the protection area.

[0045] As an optional embodiment, the criterion condition for starting the measurement process of the flood disaster of the concrete electric pole is that the real-time water level reaches the warning water level.

[0046] Step S20: When it is necessary to start the measurement process, the power geographic information map is acquired, and it is determined whether the power supply area where the concrete electric pole is located is in the boundary range of the adjacent river water accumulation area in the power geographic information map. When it is not necessary to start the measurement process, the process returns to step S10.

[0047] As an optional embodiment, the determination of whether the power supply area where the concrete electric pole is located is in the boundary range of the adjacent river water accumulation area in the power geographic information map includes: under the spatial correlation rule, W={1, 2, …, n} is a set of water level observation station coordinates participating in the measurement of the water level, P is a set of water level observation station coordinates in the area where the concrete electric pole is located (i.e., a subset of W), and A(P) is a real value function of a point coordinate on P. If the set (W, A) satisfies the following conditions, i.e., it is in the boundary range of the point coordinate clustering of the adjacent river water accumulation area:

[0048]

[0049] A(P1∪P2)≥A(P1)+A(P2)

[0050] At this time, (W, A) is referred to as the boundary range of the adjacent river water accumulation area, and A is a characteristic function on (W, A).

[0051] and in the above formula:

[0052] Among them, the water level observation station includes a river water level observation station, a lake outlet water level observation station and a river estuary tide water level observation station.

[0053] As an optional embodiment, the power geographic information map is acquired through a power geographic information system.

[0054] As an optional implementation, the location information of concrete power poles in the power geographic information system is retrieved and analyzed (the code for medium-voltage power poles in the system should be 3040210, and the code for low-voltage power poles should be 3040220). This information is then compared with the power supply area (boundary line) on the power geographic information map, and the boundary range of the adjacent river flooded area is compared (W, A). This allows for the determination and display of the individual area S of the power supply substation affected by the flood. i The total area S of each power supply substation n The power supply area system graphic is labeled with the code 7020004 in the system.

[0055] Step S30: When the power supply area is within the boundary of a nearby river flood area, calculate the area affected by the flood disaster; otherwise, return to step S10.

[0056] As an optional embodiment, the calculated area of ​​the power supply substation affected by floods is displayed in the form of an image.

[0057] As an optional embodiment, the calculation of the area of ​​the power supply substation affected by flooding includes the individual area of ​​the power supply substation affected by flooding and the total area of ​​all power supply substations.

[0058] Specifically, the total area S of all power supply substations affected by the floods is... n It is the individual area S of all n power supply stations affected by the flood. i The sum, expressed as:

[0059]

[0060] In the above formula, i is the number of the station area, i is 1, 2, 3...

[0061] Step S40: Based on the satellite remote sensing imaging data, satellite monitoring time, and the area of ​​the power supply area affected by the flood disaster, construct a neural network to measure the power outage range of the power supply area due to the disaster. The neural network solves and outputs the prediction results of the flooded state of the power supply area where the concrete pole is located.

[0062] Specifically, for the power supply area where the concrete poles are located, a neural network is constructed to measure the power outage range caused by the disaster, based on processed satellite remote sensing imaging data, satellite monitoring time, and flood warning time. The dynamic D-value of the submerged power supply area where the concrete poles are located is then calculated and output. j Monitoring results, duration of flooding (T) over Prediction results.

[0063] As an optional embodiment, such as Figure 2As shown, the neural network comprises an input layer, a hidden layer and an output layer, and the neural network is a multi-input and multi-output type neural network,

[0064] The node x of the input layer comprises real-time high-precision image data of a region where the concrete pole is located, remote sensing data bands N of the region, a remote sensing information calculation characteristic value v, a time T1 of satellite remote sensing image monitoring at the beginning of rainfall, a time T2 of satellite remote sensing image real-time monitoring after rainfall, a time T3 of a river or lake water level reaching an alarm water level, and a single area S of a power supply station affected by a flood disaster i and a total area S of each power supply station n ;

[0065] The hidden layer is used to solve a judgment from the time T1 to the time T2, a state of the power supply station where the concrete pole is located being flooded and a corresponding correction measurement R ij , a flooded dynamic D j of the power supply station where the concrete pole is located, a time length T over and a prediction result

[0066] Specifically, the correction measurement R ij is:

[0067]

[0068] In the above formula, N refers to a remote sensing data band, v i refers to a remote sensing information calculation characteristic value of the station at the time T i , v ij refers to a remote sensing information calculation characteristic value of the station at the time T2, the remote sensing information calculation characteristic values v i and v ij refer to texture features and histogram features. The texture features refer to autocorrelation coefficients, inertia, energy, entropy and local uniformity of a gray level co-occurrence matrix; the histogram features refer to histogram distribution, mean value, variance, skewness, kurtosis, energy and entropy. Specifically, if the value of R ij is in a given interval, it indicates that the power supply station is in a certain flooded dynamic D j , otherwise, no change occurs. w i refers to a weight of the i-th band characteristic value, j refers to a serial number (1, 2, 3) representing three dynamics (rising of flood, complete flooding and recession) of the power supply station where the concrete pole is located changing from not being flooded by flood to being flooded by flood; for different states of characteristic values, i refers to a total cloud cover amount of the sky in the station from no cloud and fog to complete shielding, which is recorded as 0, 1, 2, …, 10; and the weights w i are recorded as 1.0, 0.9, 0.8, …, 0 in turn.

[0069] wherein an expression of the flooded dynamic D j is:

[0070]

[0071] In the above formula, R1 is flood rise, R2 is complete submergence, and R3 is retreat.

[0072] Preferably, the implicit layer determines that the power supply area where the concrete pole is located is in a flood submergence state, including three states of complete submergence, rise, and retreat, and the three states are respectively indicated and determined by whether it is turbid water, phytoplankton-containing water, or pure water, and the turbid water, phytoplankton-containing water, and pure water are determined by the nanometer spectral band interval of the remote sensing reflectance spectrum.

[0073] Preferably, the basis for determining turbid water is that the remote sensing reflectance spectrum R1 is stable in the 430-480 nanometer spectral band interval, and it is considered that the flood is in a complete submergence dynamic at this time.

[0074] Preferably, the basis for determining phytoplankton-containing water is that the remote sensing reflectance spectrum R2 is stable in the 550 nanometer spectral band, and it is considered that the flood is in a rise dynamic at this time.

[0075] Preferably, the basis for determining pure water is that the remote sensing reflectance spectrum R3 is stable in the 750-760 nanometer spectral band interval, and it is considered that the flood is in a retreat dynamic at this time.

[0076] As an optional embodiment, the implicit layer measures the length T of time when the power supply area where the concrete pole is located is submerged over which is composed of the submerged time length and the remaining submerged time length, and the calculation formula is as follows:

[0077] T over = (T2-T3) + 24w j

[0078] In the above formula, T2 refers to the time when the satellite remote sensing image is monitored in real time after the rainfall, T3 refers to the time when the water level of the river or lake reaches the warning water level, and w j refers to the weight of the remaining submerged time length of the flood in different dynamics, wherein the w j of the complete submergence dynamic is 0.5, the w j of the rise dynamic is 0.75, and the w j of the retreat dynamic is 0.25.

[0079] The output layer is used to output the submerged dynamic D j and the length T overThe display map of the prediction result, and the real-time mapping of the individual area Si and the total area Sn of each power supply area affected by the flood disaster, and the satellite image monitoring of the flood disaster of the concrete pole according to the provisions of QX / T549 Meteorological Disaster Warning Information Website Transmission Specification.

[0080] As an optional embodiment, in the prediction result, the dynamic D of the power supply area where the concrete pole is located being submerged is represented j The color system format in the picture element is shown in Table 1.

[0081] Table 1 Color system format in the submerged dynamic picture element

[0082]

[0083] The duration T of the power supply area where the concrete pole is located being submerged is represented over The color system format in the picture element is shown in Table 2.

[0084] Table 2 Color system format in the submerged duration picture element

[0085]

[0086]

[0087] In the above embodiments, the satellite image-based concrete pole heavy rainfall type flood disaster monitoring method and its neural network can be deployed and applied in the production command center of the provincial power grid, the water level information published by the flood operation forecasting system of the provincial hydrological center is collected, the high-resolution and high-precision image data published by the ground system data processing center of the meteorological satellite user station is collected, the power geographical information map in the power geographical information system is collected, the concrete pole facility account information in the power grid management platform is collected, the device coordinate information of the concrete pole, the high-resolution and high-precision image, and the meteorological forecast information of the area where the concrete pole is located are analyzed through the neural network, the flood disaster loss of the user concrete pole is measured, and the warning information is published to the outside through the website server of the system. The system has simple structure, convenient maintenance, and good expansibility.

[0088] On the one hand, the remote sensing series satellites have gradually formed a network service platform, which can observe and image the earth in real time, has the advantages of wide monitoring range, low cost, and fast response, and can provide data support for production command, rescue and disaster relief, disaster verification, and power restoration. On the other hand, by establishing a scientific system to associate the three types of information of distribution network equipment, meteorology and geography, the extreme disaster situation of the distribution line can be evaluated in time, and the practical rescue and disaster relief work plan can be implemented, which can effectively improve the ability of the distribution network to resist natural disasters and reduce the disaster loss.

[0089] Embodiment 2

[0090] According to another aspect of the embodiment of the present application, there is also provided a concrete electric pole flood disaster satellite image monitoring system, which applies the concrete electric pole flood disaster satellite image monitoring method, is used for carrying the flood disaster satellite image monitoring and measurement method, constructs a monitoring and measurement system for strong rainfall induced flood and covers the flooded dynamic and time length of each concrete electric pole of the provincial power grid in the power supply area, the software quality of the system meets the regulations of GB / T 16260.1 "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", GB / T 16260.4 "Software Engineering Product Quality Part 4: Measurement of Usage Quality", and the prediction system comprises an acquisition layer, a data layer, a processing layer and an application layer. The prediction system is described in detail below.

[0091] The acquisition layer is used for collecting water level information (including real-time water level, guaranteed water level and warning water level information) published by a local provincial hydrological center flood operation forecast system through a front-end acquisition server, collecting satellite remote sensing imaging processed data published by a meteorological satellite user station ground system data processing center, collecting electric power geographic information maps and graphic codes from an electric power geographic information system of an electric power enterprise, and collecting concrete electric pole facility account information and power supply area location information from an electric power grid management platform of the electric power enterprise.

[0092] The water level information data from the hydrological center refers to the provisions of GB / T 50138 "Water Level Observation Standard", and the data exchange between the collection layer and the flood operation forecasting system refers to the relevant provisions of SL / Z 388 "Real-time Water Regime Exchange Protocol". The image data from the meteorological satellite user station refers to the provisions of GB / T 36300 "Remote Sensing Satellite Quick Vision Data Format Specification", and the data exchange between the collection layer and the meteorological satellite user station refers to the relevant provisions of GB / T 38025 "Remote Sensing Satellite Ground System Interface Specification". The device spatial geographic attribute information processing and information exchange code from the power geographic information system refers to the provisions of DL / T 397 "Power Geographic Information System Graphic Symbol Classification and Code", and the data exchange between the collection 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 of the collection layer and the flood operation forecasting system, the meteorological satellite user station, and the power geographic information system meet the relevant provisions of Q / CSG 1204012 "Communication Network Production Application Interface Technical Specification". At the same time, the pre-collection server is located in a secure access area, which can meet the network security requirements for accessing data using public communication networks (excluding the Internet), wireless communication networks (GPRS, CDMA, 230MHz, WLAN, etc.).

[0093] Preferably, data exchange refers to data transmission, reception, interpretation, and analysis.

[0094] Preferably, the satellite remote sensing imaging processed data refers to imaging processed data with a full-color resolution of up to 0.5 meters and a spliced width of up to 60 kilometers.

[0095] The data layer is used to store data related to the prediction results of the flooded state of the power supply station area.

[0096] Specifically, the data layer includes a database server (real-time library) and a database server (relational library) for storing data related to the flooded dynamic monitoring results and the flooded duration measurement results of the power supply station area. The relational library is used to store the water level observation site coordinate set, the water level station coordinate set in the concrete pole area, the water level observation site coordinate set, the water level station coordinate set in the concrete pole area, the device spatial geographic attribute information processing and information exchange code, the concrete pole facility account information, the location information of each power supply station area, and the satellite remote sensing imaging processed data. The real-time library is used to store real-time water level, guaranteed water level, and warning water level data, as well as satellite monitoring time and flood warning time.

[0097] The processing layer determines whether a measurement process of the concrete electric pole flood disaster needs to be started, and when the measurement process needs to be started, acquires a power geographic information map of a power geographic information system, and determines whether a power supply area where the concrete electric pole is located is in a boundary range of a nearby river water accumulation area; when the power supply area is in the boundary range of the nearby river water accumulation area, the area of the power supply area affected by the flood disaster is calculated; a neural network for measuring the power supply area disaster power outage range is constructed according to satellite remote sensing imaging processed data, a satellite monitoring time and the area of the power supply area affected by the flood disaster, and the neural network solves and outputs a prediction result of a flooded state of the power supply area where the concrete electric pole is located.

[0098] The application layer is used for displaying and transmitting the prediction result of the flooded state of the power supply area where the concrete electric pole is located.

[0099] Specifically, the application layer outputs and displays a real-time mapping of the flood inundated power supply area range, and is used for publishing the power supply area flooded dynamic D j monitoring results, a flooded duration Tover prediction result and a real-time mapping of the corresponding power supply area.

[0100] Preferably, the front-end collection server, the application server, the database server and the website server are deployed in a data center machine room of a provincial power grid production command center.

[0101] Preferably, the application server is an NF5270M52U rack server configured with 4 10-core Xeon-silver series CPUs.

[0102] Preferably, the database server and the website server are both NF5180M51U rack servers configured with 2 8-core Xeon E7 V4 series CPUs.

[0103] Preferably, the application layer acquires the power supply area flooded dynamic D j monitoring results and the flooded duration Tover prediction result, and can output a display graph of the concrete electric pole flood disaster satellite image monitoring in real time within 60 seconds.

[0104] Embodiment 3

[0105] According to another aspect of the embodiment of the present application, a concrete electric pole flood disaster satellite image monitoring system is also provided, Figure 3 is a schematic diagram of the concrete electric pole flood disaster satellite image monitoring system according to the embodiment of the present application, like Figure 3As shown, the system comprises a front-end acquisition server, a database server, an application server, a website server, an engineer station, an operator station, an intranet switch, an extranet switch, a firewall, which are connected with each other through optical fibers and are deployed in a provincial power grid production command center.

[0106] The extranet switch and the firewall are deployed in a communication room of the provincial power grid production command center, and are used for exchanging and scanning data and instructions between the provincial hydrological center flood operation forecasting system and the local provincial power grid production command center.

[0107] The front-end acquisition server, the application server and the website server are one set, and the database server is two sets, which are all deployed in a data center room of the provincial power grid production command center.

[0108] The front-end acquisition server, the website server and the database server of the concrete pole area flood disaster monitoring system are all NF5280M5 2U rack servers, which are configured with two 8-core Xeon E7 V4 series CPUs, support super-threading, have a cache of not less than 25 megabytes, and have an original main frequency of not less than 1.9 gigahertz; the memory is configured as DDR4 type memory of not less than 128 gigabytes, and the total number of maximum memory slots is not less than 64; the hard disk is configured as four 600 gigabyte, 12000 revolutions per minute serial attached SCSI hard disks; and the network card is provided with eight independent 10 / 100 / 1000M-BaseT Ethernet ports.

[0109] The front-end acquisition server bears the acquisition layer, is one set, and is deployed in a data center room of the provincial power grid production command center, and its data exchange, custom protocol, deployment architecture, data transmission security specification and protection mechanism should comply with the provisions of Q / CSG1210017 “Intranet and extranet data security exchange platform technical specification”, Q / CSG 1210007 “Data transmission security standard” and Q / CSG1204009 “Electric power monitoring system security protection technical specification”, and collects the water level information (the allowable error of water level amplitude ≤10 meters is within ±1 centimeter) published by the provincial hydrological center flood operation forecasting system and the real-time resolution high-precision image data (the data transmission channel error rate is ≤1×10 -6, data update interval of 15 minutes / time of imaging processing data), and provide data services for database servers (relational database), database servers (real-time database); Through the internal network switch to collect power geographic information system in the intermediate library server of power geographic information map (including medium voltage pole graphics with code 3040210 and low voltage pole graphics with code 3040220), and provide data services for database servers (relational database). Through the firewall to scan the exchanged data and instructions, close the abnormal port, and prevent intrusion. The water level information is collected from the provincial hydrological center flood operation forecasting system, and the format of the station, time, water level and other element fields and identifiers conforms to the provisions of SLT 591 "Historical Flood Database Table Structure and Identifier".

[0110] The database server carries the data layer, including 1 relational database data server and 1 real-time database data server, which are deployed in the data center room of the provincial power grid production command center, used to store relevant data required for the flooded dynamic monitoring results and the flooded duration measurement results of the power supply area; its data exchange, customization protocol, data transmission security specification, and protection mechanism should comply with the provisions of GB / T 20273 "Database Management System Safety Technical Requirements" and Q / CSG 1210007 "Data Transmission Safety Standard", and its relational database is used to store the power geographic information map in the intermediate library server of the power geographic information system and the concrete pole facility account information of the power grid management platform; the real-time database is used to store the water level information (the allowable error is within ±1 centimeter when the water level amplitude is ≤10 meters) published by the provincial hydrological center flood operation forecasting system and the real-time resolution high-precision image data (imaging processing data) published by the meteorological satellite user station ground system data processing center, and provides data services for the application server through the internal network switch. The imaging processing data is derived from the sun synchronous orbit optical satellite panchromatic multispectral camera.

[0111] The website server carries the application layer, with a quantity of 1 set, deployed in the data center room of the provincial power grid production command center, and its access control measures should comply with the provisions of Q / CSG 1204009 "Electric Power Monitoring System Safety Protection Technical Specification", and the map and graphics related elements of the early warning service graphics should comply with the provisions of QX / T 481 "Meteorological Risk Early Warning Service Graphics Induced by Heavy Rainfall, Small River Floods, Mountain Torrents and Geological Disasters", and the output about the flooded dynamic D j , the flooded duration T over The area of each affected power supply area S i and the total area of the affected power supply area S nThe illustration of the measurement map requires the provisions of SL / T 483 "Flood Risk Map Compilation Guidelines", and the flood disaster data monitoring service is provided for the relevant personnel of power production command decision-making and emergency response at all levels through the intranet switch. When the user accesses the website server of the flood disaster monitoring system in the area where the concrete electric pole is located, the access verification requirements of the system for the user shall comply with the provisions of GB / T 20272 "Technical Requirements for Operating System Security".

[0112] The application server carries the processing layer, the number is 1 set, which is deployed in the data center machine room of the provincial power grid production command center. The server belongs to NF5270M52U rack type, which is configured with 4 10-core Xeon-silver series CPUs, supports hyper-threading, cache is not less than 20 megabytes, and original frequency is not less than 2.0 gigahertz; the memory is configured as not less than 128 gigabytes of DDR4 type memory, and the total number of maximum memory slots is not less than 64; the hard disk is configured as 2 pieces of 600 gigabyte, 12000 revolutions per minute serial connection SCSI hard disk.

[0113] The flood inundation power supply area range neural network constructed by using neural network is deployed through the application server, the real-time resolution high-precision image data and its remote sensing data band N, remote sensing information calculation characteristic value v of the concrete electric pole area at a specific time t, the moment T1 of satellite remote sensing image monitoring at the beginning of rainfall, the moment T2 of satellite remote sensing image real-time monitoring after rainfall, the moment T3 when the water level of river or lake reaches the warning water level, and the individual area S of the power supply area affected by flood disaster i and the total area S n of each power supply area are input in the input layer; the flood disaster submerged dynamic D j monitoring result, the submerged duration T over prediction result of the concrete electric pole in the power supply area are measured in real time in the hidden layer; the measurement map about the submerged dynamic D j , the submerged duration T over , the individual area S i of each affected power supply area and the total area S n of the affected power supply area are output in the output layer; and the data service is provided for the website server through the switch.

[0114] The number of intranet switches is 1 set, which is deployed in the communication machine room of the provincial power grid production command center. The physical interface, protocol, interconnection and compatibility requirements of the intranet switch shall comply with the provisions of Q / CSG1204016.3 "Part 3: Technical Requirements for Data Network Equipment", which is used to connect the database server, application server, website server, engineer station, operator station, external network switch and firewall through the power comprehensive data network composed of optical fibers.

[0115] The number of outer network switches is one set, which is deployed in the communication room of the provincial power grid production command center, and is configured with 24 10 / 100 / 1000 megabyte adaptive electrical ports, the switching capacity is not less than 150 megabits per second, the two and three layer packet forwarding capacity is not less than 95 megabits per second, the concurrent flow statistics number is not less than 400,000, the data message forwarding delay is less than 1 millisecond, and the LDP MD5, VRRP MD5, NTP MD5 encryption authentication is supported.

[0116] The physical interface, protocol, interconnection and compatibility requirements of the inner network switch and the outer network switch shall comply with the provisions of Q / CSG1204016.3 "Part 3: Technical Requirements for Data Network Equipment", and the data exchange and instruction analysis of the outer network switch shall comply with the relevant provisions of SL / Z 388 "Real-time Water Exchange Protocol". The inner network switch and the outer network switch are used to connect the database server, application server, website server, engineer station, operator station and inner network switch through the power comprehensive data network composed of optical fibers.

[0117] The number of firewalls is one set, which is deployed in the communication room of the provincial power grid production command center, and the firewall has access control function and logical isolation function.

[0118] The number of engineer stations is one, which is deployed in the monitoring room of the provincial power grid production command center, and a double-channel workstation of ThinkStation P920 series is selected.

[0119] The configuration principle and technical requirements of the engineer station shall comply with the requirements of Q / CSG 1203005 "Technical Guidelines for Electric Power Secondary Equipment" on computer monitoring system, and the engineer station is used to provide services for system administrators to maintain the flood disaster monitoring system of concrete electric poles in the area.

[0120] The number of operator stations is one, which is deployed in the monitoring room of the provincial power grid production command center, and a workstation of ThinkStation K series is selected.

[0121] The configuration principle and technical requirements of the operator station shall comply with the requirements of Q / CSG 1203005 "Technical Guidelines for Electric Power Secondary Equipment" on computer monitoring system, and the operator station is used to provide services for system administrators and on-duty personnel to carry out flood disaster emergency and early warning of power supply area disaster damage degree.

[0122] The physical interface, protocol, interconnection and compatibility requirements of the intranet switch and the concrete pole area flood disaster monitoring system database server, pre-acquisition server, application server, website server, engineer station, operator station, extranet switch shall comply with the provisions of Q / CSG 1204016.3 "Data Network Technical Specification Part 3: Data Network Equipment Technical Requirements", and the configuration, setting, partition requirements of the database server, pre-acquisition server, application server, website server, engineer station, operator station, intranet switch, extranet switch, firewall shall comply with the provisions of Q / CSG 212001 "Electric Power Monitoring System Security Protection Management Method", Q / CSG 1204009 "Electric Power Monitoring System Security Protection Technical Specification". The main performance indicators of the concrete pole area 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", Q / CSG 1204016.3 "Data Network Technical Specification Part 3: Data Network Equipment Technical Requirements". The safety function requirements of the concrete pole area flood disaster monitoring system shall comply with the provisions of GB / T 20271 "Information Security Technology Information System General Safety Technical Requirements".

[0123] In the specific installation and deployment process of the concrete pole area flood disaster monitoring system, first, the pre-acquisition server, database server (relational database), database server (real-time database), application server, website server are deployed in the screen cabinet in the provincial power grid production command center data center machine room, and there is only one set of each type of equipment. Secondly, the intranet switch, extranet switch, firewall are deployed in the screen cabinet in the provincial power grid production command center communication room, and there is only one set of each type of equipment, and after identity authentication and data encryption, the water level information (including real-time water level, guaranteed water level, warning water level information) of the local provincial hydrological center flood operation forecasting system, the real-time resolution high-precision image data (composed of several fast vision data frames, including frame header information, auxiliary data and fast vision image data) of the meteorological satellite user station ground system data processing center, the electric power geographic information map (including vector data, grid data, image data and additional information) of the electric power geographic information system, and the concrete pole facility account information of the power grid management platform are collected remotely through the extranet switch and firewall. Thirdly, the engineer station and operator station are deployed in the monitoring room of the provincial power grid production command center, there is only one set of engineer station and two sets of operator station, and they are used to remotely monitor the flood disaster satellite image monitoring data and maintain the concrete pole area flood disaster monitoring system.

[0124] In the specific monitoring and estimation process of the satellite image monitoring system for the flood disaster of the concrete pole area, first of all, the provincial hydrological center starts the flood forecasting process according to the provisions of SL 250 "Hydrological Information Forecasting Specification", and observes the water regime information of the concrete pole area near the river according to the provisions of GB / T50138 "Water Level Observation Standard". The water regime information data transmission frame structure should contain data such as observation station number, water level, and alarm water level, as well as characteristic symbols representing parameter attributes, and also includes an extension part for indicating measurement time, communication route, and check code. Secondly, the provincial power grid production command center technicians start the emergency response level and its plan according to the general requirements and provisions of SL 250 "Hydrological Information Forecasting Specification" for flood forecasting, and start the flood inundation power supply area range prediction process. Thirdly, search and judge the concrete pole (the code of medium-voltage pole graphics searched in the system should be 3040210, and the code of low-voltage pole graphics searched in the system should be 3040220) in the electric power geographic information system; and under the spatial correlation rule, according to the spatial geographic attribute information, judge whether the power supply area is within the boundary range of the nearby river water accumulation area, mark the power supply area graphic code as 7020004 in the monitoring system, and then obtain and display the individual area S i of the power supply area affected by the flood disaster a . Then, according to the data of the meteorological satellite user station (derived from the satellite-borne synthetic aperture radar collected by the data processing center information system), the flood disaster monitoring system of the concrete pole area outputs the concrete pole area display map (total map) after the flood disaster, publishes the inundated dynamic D j and duration T over measurements of the corresponding power supply area according to the provisions of QX / T 549 "Meteorological Disaster Warning Information Website Transmission Specification", and monitors and judges the development and change of the flood disaster in real time. Finally, the provincial and regional production command center technicians make technical decision suggestions for flood disaster power outage user repair according to the operation control principles and targets specified in DL / T1883 "Distribution Network Operation Control Technical Guidelines", Q / CSG 1205003 "Medium and Low Voltage Distribution Operation Management Standard", and Q / CSG 430043 "Emergency Disposal Post-Evaluation Business Guidance", and the relevant power supply bureau technicians deal with it. If necessary, measures such as disaster adjustment of operation mode and disaster post-addition of flood and waterlogging reinforcement can also be taken.

[0125] The main implementation contents in the specific disposal process are as follows:

[0126] The provincial power grid, prefecture power grid enterprise production command center faces the user power supply and distribution facilities (referring to the electrical equipment and power facilities used between the user property boundary point and the power load, including concrete poles, overhead lines, cables, transformers and their auxiliary electrical equipment and facilities) that exist in strong rainfall induced flood disasters, based on the spatial geographic attribute information of concrete poles in the power supply area, the water level information released by the flood operation forecasting system and the real-time high resolution image data of satellite remote sensing, the flooded dynamic D j , the length T over measure result, proposes emergency disposal measures and sends warning notice to power supply bureau technicians. The power grid enterprise production department of the power supply area where the concrete pole is located adopts the principle of "water rises and electricity stops, water retreats and electricity recovers", according to the flooded dynamic D j , takes emergency power-off measures to ensure the safety of electricity use; according to the flooded time T over , takes equipment repair measures to support flood relief; the supply chain department compares the concrete pole facility account information of the power grid management platform, and according to the disaster damage, allocates emergency rescue materials such as tapered poles and equal diameter poles of different reinforcement methods (reinforced concrete poles, prestressed concrete poles, partial prestressed concrete poles) to support repair.

[0127] During this process, the power supply branch and power supply station of the power supply bureau judge the user power supply and distribution facilities in the continuous power-off state (that is, the power-off duration is greater than 3 minutes), and combined with the waterlogging risk distribution map and their operation experience, the distribution facilities affected by waterlogging and water immersion are fully investigated and disposed. Mainly for the flooded dynamic D j , the length T over measure result, the decision-making suggestions for the repair of each area in order are proposed. For the power supply area belonging to the power user asset, the relevant power supply bureau technicians are warned by the notice and guided or assisted to carry out emergency disposal measures according to the relevant provisions of GB / T 37136 "Power User Power Supply and Distribution Facilities Operation and Maintenance Specification". The power supply bureau provides technical support for the repair of users, mainly referring to low-voltage users receiving 380 volts / 220 volts, medium-voltage users receiving 10 (6, 20) kilovolts, and high-voltage users receiving 35 kilovolts and above. After the heavy rainfall, assist the power supply bureau technicians to solve the average number of power-off users and the average power-off time of power-off users. Among them, the average number of power-off users refers to the average number of users per power-off during the statistical period, denoted as (household / time); the average power-off time of power-off users refers to the average power-off time of power-off users during the statistical period, denoted as (hours / household).

[0128] After the flood, the provincial power grid production command center technicians use the engineer station to select no less than 20 distribution line tower and other equipment obvious target point (detection point) coordinates on the power geographic information map, and compare with the same name target point (detection point) coordinates on the flooded dynamic, time length remote sensing image plan, calculate the measurement error of the concrete pole area flood disaster monitoring system, to constantly iterate and upgrade the monitoring system. The calculation formula is as follows:

[0129]

[0130] In the formula, m s Refers to the point error (mm), Δu, Δv refers to the detection point coordinate difference (mm), y refers to the number of detection points (pieces), and no less than 20.

[0131] In addition, the concrete pole area flood disaster monitoring and early warning system for heavy rainfall can provide planning, management, decision information display and output for power distribution network flood disaster warning, prevention and other aspects.

[0132] Practice shows that the establishment of heavy rainfall flood disaster monitoring and early warning system, the exploration of the use of satellite and other means to actively improve the disaster monitoring capacity and disaster reconnaissance analysis capacity, to provide technical support for the power distribution network flood prevention "before the disaster, after the disaster", is an important content of the construction of safe, reliable, green, efficient and intelligent modern power grid. Therefore, it is necessary to use advanced algorithms and systems in the power production command center to dynamically analyze the concrete pole flood disaster loss, and to seize the opportunity of disaster response through accurate disaster assessment, and to provide technical support for flood control and disaster reduction work.

[0133] In an embodiment of the present application, a computer readable storage medium is provided, the computer readable storage medium comprising a stored program, wherein the program controls the device where the computer readable storage medium is located to execute the concrete pole flood disaster satellite image monitoring method according to any one of the above embodiments when the program is running.

[0134] Optionally, in the present embodiment, the above-mentioned computer readable storage medium can be located in any one of the computer terminals in the computer terminal group in the computer network, or in any one of the mobile terminals in the mobile terminal group, and the above-mentioned computer readable storage medium comprises a stored program.

[0135] Optionally, the device where the computer readable storage medium is located controls the computer readable storage medium to execute the following functions when the program is running: obtaining water level information of an area where the concrete pole is located, and determining whether a measurement process of measuring flood disaster of the concrete pole needs to be started; when the measurement process needs to be started, obtaining a power geographic information map, and determining whether a power supply area where the concrete pole is located in the power geographic information map is within a boundary range of a nearby river water accumulation area; when being within the boundary range of the nearby river water accumulation area, calculating an area of a power supply area affected by the flood disaster; constructing a neural network for measuring a power supply area disaster outage range according to satellite remote sensing imaging processed data, a satellite monitoring time and the area of the power supply area affected by the flood disaster, and the neural network solves and outputs a prediction result of a flooded state of the power supply area where the concrete pole is located.

[0136] Embodiment 5

[0137] According to another aspect of the embodiments of the present application, a processor for running a program is further provided, wherein the program is used to execute the concrete pole flood disaster satellite image monitoring method in any one of the above embodiments when the program is running.

[0138] The embodiments of the present application provide a device including a processor, a memory and a program stored in the memory and capable of running on the processor, and the processor implements the steps of the concrete pole flood disaster satellite image monitoring method when executing the program.

[0139] The above-mentioned serial numbers of the embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0140] In the above-mentioned embodiments of the present application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0141] In the several embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. Of course, the system embodiments described above are only illustrative, and for example, the division of units can be a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed units can be through some interfaces, and the indirect coupling or communication connection between the units or modules can be in electrical or other forms.

[0142] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on multiple units. According to actual needs, part or all of the units can be selected to achieve the purpose of the present embodiment scheme.

[0143] In addition, each function unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software function unit.

[0144] If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, essentially or the part that contributes to the prior art, or all or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the methods of the present application. The foregoing storage medium includes various media that can store program codes, such as a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, etc.

[0145] The above is only the preferred embodiment of the present application, and it should be pointed out that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should also be considered as the protection scope of the present application.

Claims

1. A method for monitoring a flood-affected satellite image of a concrete pole, characterized in that, The method comprises the following steps: acquiring water level information and determining whether a measurement process for measuring the flood disaster of the concrete pole needs to be started; when the measurement process needs to be started, acquiring the power geographic information map and determining whether the power supply area where the concrete pole is located is in the water accumulation area in the power geographic information map; when the power supply area where the concrete pole is located is in the water accumulation area, calculating the area of the power supply area affected by the flood disaster; constructing a neural network for measuring the power supply area affected by the disaster and stopping the power supply range according to the satellite remote sensing imaging processed data, the satellite monitoring time and the area of the power supply area affected by the flood disaster, solving and outputting the prediction result of the flooded state of the power supply area where the concrete pole is located by the neural network; the neural network comprises an input layer, a hidden layer and an output layer, and the neural network is a multi-input and multi-output type neural network, The nodes of the input layer include: real-time high-resolution image data and remote sensing data bands of the area where the concrete pole is located, remote sensing information calculation characteristic values, the time of satellite remote sensing image monitoring at the beginning of rainfall T 1 , the time of satellite remote sensing image real-time monitoring after rainfall T 2 , the time when the water level of a river or a lake reaches an alarm water level, the individual area of a power supply station affected by a flood disaster and the total area of each power supply station; The hidden layer is used for solving the judgment T 1 At the moment T 2 At the moment, the power supply area where the concrete pole is located is in a flooded state and the corresponding corrected measured value; solve the flooded dynamic and time length prediction result of the power supply area where the concrete pole is located; the output layer is used for outputting the display graph of the prediction result of the flooded dynamic and duration of the power supply area in real time.

2. The method of monitoring flood damage to concrete poles from satellite images according to claim 1, characterized in that, The water level information comprises real-time water level, guaranteed water level and warning water level information.

3. The method of claim 1, wherein the method is characterized by, The method further comprises displaying the calculated area of the power supply area affected by the flood disaster in the form of a picture.

4. The method for monitoring the flood damage of a concrete pole using a satellite image according to claim 1, characterized in that, The criterion condition for starting the measurement process for measuring the flood disaster of the concrete pole is that the real-time water level reaches the warning water level.

5. The method for monitoring the flood damage of the concrete pole by using satellite images according to claim 1, wherein, The calculation of the area of the power supply area affected by the flood disaster comprises the individual area of the power supply area affected by the flood disaster and the total area of each power supply area.

6. The method for monitoring the flood damage of a concrete pole using satellite images according to claim 1, characterized in that, The state of the power supply area where the concrete pole is located in the flood inundation comprises three states of complete inundation, rising and recession, which are respectively indicated and determined by whether it is turbid water, phytoplankton-containing water or pure water, and the turbid water, phytoplankton-containing water and pure water are determined by the nanometer spectral band interval of the remote sensing reflectivity spectrum.

7. A concrete electric pole flood disaster satellite image monitoring system, characterized by, The method according to any one of claims 1-6 comprises the following steps: a collection layer is used for collecting water level information, collecting satellite remote sensing imaging processed data, collecting power geographic information map and its graphic code, collecting concrete pole facility account information and location information of each power supply area; a data layer is used for storing data related to the prediction result of the flooded state of the power supply area; a processing layer is used for determining whether the measurement process for measuring the flood disaster of the concrete pole needs to be started, acquiring the power geographic information map when the measurement process needs to be started, determining whether the power supply area where the concrete pole is located is in the water accumulation area in the power geographic information map, calculating the area of the power supply area affected by the flood disaster when the power supply area where the concrete pole is located is in the water accumulation area, calculating the area of the power supply area affected by the flood disaster, constructing a neural network for measuring the power supply area affected by the disaster and stopping the power supply range according to the satellite remote sensing imaging processed data, the satellite monitoring time and the area of the power supply area affected by the flood disaster, solving and outputting the prediction result of the flooded state of the power supply area where the concrete pole is located by the neural network; an application layer is used for displaying and transmitting the prediction result of the flooded state of the power supply area where the concrete pole is located.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium comprises a stored program, wherein the program controls the device where the computer readable storage medium is located to execute the concrete pole flood disaster satellite image monitoring method according to any one of claims 1-6 when the program is running.

9. A processor, comprising: The processor is configured to run a program, and the program is configured to execute the method for monitoring the satellite image of the concrete electric pole affected by flood according to any one of claims 1 to 6 when running.

Images