A method and system for identifying and evaluating the resilience of national land space planning

Abstract

The present invention proposes a method and system for identifying and evaluating the resilience of land space planning, which belongs to the field of information extraction technology. The method includes: constructing a land space resilience database through a data acquisition device, and the land space resilience database includes daily detection data and / or historical detection data; determining geological disaster information at a first time point based on daily detection data and / or historical detection data; determining at least one key prevention area information based on the geological disaster information at the first time point; determining a prevention and control order based on at least one key prevention area information and the corresponding geological disaster information, and the prevention and control order corresponds to the key prevention area at the first time point. By comprehensively considering these data types, a more comprehensive assessment of the various types of geological disasters that may occur in the current area and its surrounding areas can be made, thereby effectively conducting disaster monitoring, early warning and risk management, and improving the resilience of land space planning.

Description

Technical Field

[0001] The present invention relates to the technical field of information extraction, and in particular to a method and system for identifying and evaluating the resilience of national land space planning. Background Art

[0002] In recent years, geological disasters have occurred frequently, posing a severe challenge to the security and sustainable development of the national space. Geological disasters such as earthquakes, landslides, and mud-rock flows pose a serious threat to human society and economic activities. Traditional disaster monitoring and early warning methods often rely on single monitoring data, which cannot comprehensively assess the overall resilience of the national space and lack the comprehensive prevention and response capabilities for complex disaster events. It is possible to quickly and accurately identify potential geological disaster risks and formulate corresponding prevention and control measures to enhance the resilience and disaster management capabilities of the national space.

[0003] Therefore, we hope to provide a method and system for identifying and evaluating the resilience of national land space planning, which can increase the accuracy of disaster prediction capabilities, formulate corresponding prevention and control measures, make prevention and control plans in advance, reduce the losses caused by disasters, improve the ability to resist and adapt to disasters, and increase the resilience of national land space planning. Summary of the invention

[0004] The present invention provides a method for identifying and evaluating the resilience of national space planning, which increases the accuracy of disaster prediction, makes prevention and control plans in advance, reduces the losses caused by disasters, improves the resistance and adaptability to disasters, and increases the resilience of national space planning. The method includes: constructing a national space resilience database through a data acquisition device, the national space resilience database includes daily detection data and / or historical detection data; determining geological disaster information at a first time point based on the daily detection data and / or historical detection data; determining at least one key prevention area information based on the geological disaster information at the first time point; determining a prevention and control order based on the at least one key prevention area information and the corresponding geological disaster information, the prevention and control order corresponds to the key prevention area at the first time point.

[0005] One of the embodiments of the present specification provides a land space planning resilience identification and evaluation system, the system comprising: a database acquisition module, used to construct a land space resilience database through a data acquisition device, the land space resilience database comprising daily detection data and / or historical detection data; a disaster information determination module, used to determine geological disaster information at a first time point based on the daily detection data and / or historical detection data; a prevention area information acquisition module, used to determine at least one key prevention area information based on the geological disaster information at the first time point; a prevention and control order determination module, used to determine a prevention and control order based on the at least one key prevention area information and the corresponding geological disaster information, the prevention and control order corresponding to the key prevention area at the first time point.

[0006] One of the embodiments of the present specification provides a device for identifying and evaluating the resilience of national land space planning, the device comprising at least one processor and at least one memory; the at least one memory is used to store computer instructions; the at least one processor is used to execute at least part of the computer instructions to implement a method for identifying and evaluating the resilience of national land space planning.

[0007] One of the embodiments of this specification provides a computer-readable storage medium, which stores computer instructions. When the computer instructions are executed by a processor, a method for identifying and evaluating the resilience of national land space planning is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0009] Figure 1 It is a schematic diagram of an application scenario of a national land space planning resilience identification and evaluation system according to some embodiments of this specification;

[0010] Figure 2 It is a schematic diagram of a module of a national land space planning resilience identification and evaluation system according to some embodiments of this specification;

[0011] Figure 3 is an exemplary flow chart of a method for identifying and evaluating the resilience of national space planning according to some embodiments of this specification;

[0012] Figure 4 is an exemplary flow chart for determining prevention and treatment orders according to some embodiments of the present specification. DETAILED DESCRIPTION

[0013] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of this specification. For ordinary technicians in this field, this specification can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0014] It should be understood that the "system", "device", "unit" and / or "module" used herein are a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

[0015] As shown in this specification and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular and may also include the plural. Generally speaking, the terms "comprise" and "include" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0016] Flowcharts are used in this specification to illustrate the operations performed by the system according to the embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed precisely in order. Instead, the steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0017] Figure 1 It is a schematic diagram of an application scenario of a national land space planning resilience identification and evaluation system according to some embodiments of this specification.

[0018] In some embodiments, in the application scenario 100 of the national land space planning resilience identification and evaluation system, the analysis results of the file to be analyzed can be obtained by implementing the methods and / or processes disclosed in this specification.

[0019] like Figure 1 As shown, the application scenario 100 of the land space planning resilience identification and evaluation system involved in the embodiment of this specification may include a processor 110, a user terminal 120, a storage device 130, a network 140 and a volcano 150.

[0020] In some embodiments, the processor 110 may process information and / or data related to the application scenario 100 of the land space planning resilience identification and evaluation system to perform one or more functions described in this application. For example, the processor 110 may determine the geological disaster information at the first time point based on daily detection data and / or historical detection data. In some embodiments, the processor 110 may include one or more processing engines (e.g., a single-chip processing engine or a multi-chip processing engine). By way of example only, the processor 110 may include a central processing unit (CPU), an application specific integrated circuit (ASIC), an application specific instruction processor (ASIP), a graphics processor (GPU), a physical processor (PPU), a digital signal processor (DSP), a field programmable gate array (FPGA), an editable logic circuit (PLD), a controller, a microcontroller unit, a reduced instruction set computer (RISC), a microprocessor, etc., or any combination thereof.

[0021] The user terminal 120 can provide a channel for human-computer interaction. In some embodiments, the user terminal 120 can be a mobile device, a tablet computer, a laptop computer, a desktop computer, or any combination thereof, and other devices with input and / or output functions. In some embodiments, the user can view prevention and control orders, geological disaster information, etc. through the user terminal 120.

[0022] The storage device 130 can be used to store data and / or instructions related to the application scenario 100 of the national land space planning resilience identification and evaluation system. In some embodiments, the storage device 130 can store data and / or information obtained from the processor 110, the user terminal 120, etc. For example, the storage device 130 can store a national land space resilience database, etc. In some embodiments, the storage device 130 may include one or more storage components, each of which may be an independent device or part of other devices. In some embodiments, the storage device 130 may be set in the processor 110. In some embodiments, the storage device 130 may include a random access memory (RAM), a read-only memory (ROM), a large-capacity memory, a removable memory, a volatile read-write memory, etc., or any combination thereof. Exemplarily, the large-capacity storage may include a magnetic disk, an optical disk, a solid-state disk, etc. In some embodiments, the storage device 130 may be implemented on a cloud platform.

[0023] The network 140 may include any suitable network that can facilitate the information and / or data exchange of the components in the application scenario 100 of the national land space planning resilience identification and evaluation system. In some embodiments, one or more components (e.g., processor 110, storage device 130, etc.) in the application scenario 100 of the national land space planning resilience identification and evaluation system may exchange information and / or data through the network 140. In some embodiments, the network 140 may be any one or more of a wired network or a wireless network. For example, the network 140 may include a cable network, an optical fiber network, a telecommunications network, the Internet, a local area network (LAN), a wide area network (WAN), a wireless local area network (WLAN), a metropolitan area network (MAN), a public switched telephone network (PSTN), a Bluetooth network, a ZigBee network (ZigBee), a near field communication (NFC), an in-device bus, an in-device line, a cable connection, or any combination thereof. The network connection between the various parts may be in one of the above-mentioned ways or in multiple ways. In some embodiments, the network may be a point-to-point, shared, centralized, or other topological structure or a combination of multiple topological structures.

[0024] In this specification, the volcano 150 is described as a type of geological disaster. The volcano 150 may include a data acquisition device 151, which is used to acquire daily detection data.

[0025] It should be noted that the application scenario 100 of the land space planning resilience identification and evaluation system is provided for illustrative purposes only and is not intended to limit the scope of the present application. For those of ordinary skill in the art, various modifications or changes can be made according to the description of this specification. For example, the application scenario 100 of the land space planning resilience identification and evaluation system can implement similar or different functions on other devices. However, these changes and modifications will not deviate from the scope of the present application.

[0026] Figure 2 It is a module diagram of the national land space planning resilience identification and evaluation system shown in some embodiments of this specification.

[0027] like Figure 2 As shown, the national land space planning resilience identification and evaluation system 200 may include a database acquisition module 210, a disaster information determination module 220, a prevention zone information acquisition module 230 and a prevention and control order determination module 240.

[0028] In some embodiments, the database acquisition module 210 is used to build a national land space resilience database through a data acquisition device, and the national land space resilience database includes daily detection data and / or historical detection data.

[0029] In some embodiments, the disaster information determination module 220 is used to determine the geological disaster information at a first time point based on daily detection data and / or historical detection data.

[0030] In some embodiments, the prevention area information acquisition module 230 is used to determine at least one key prevention area information based on the geological disaster information at the first time point.

[0031] In some embodiments, the prevention and control command determination module 240 is used to determine a prevention and control command based on at least one key prevention area information and corresponding geological disaster information, and the prevention and control command corresponds to the key prevention area at the first time point.

[0032] In some embodiments, the prevention and control command determination module 240 is further used for: a template determination module, used to determine a command template based on at least one key prevention area and geological disaster information, the command template including at least one blank item and a filled item; a historical prevention method determination module, used to obtain at least one first historical prevention method based on the national land space resilience database; at least one blank information determination module, used to obtain at least one blank information corresponding to at least one blank item based on at least one first historical prevention method; an effect determination module, used to determine an effect value based on at least one blank item and at least one blank information, and determine the prevention and control command based on the effect value.

[0033] In some embodiments, the system is also used for a maintenance command determination module, including: a maintenance data acquisition module, used to acquire historical maintenance data of a data acquisition device from a national land space resilience database; a rate determination module, used to determine the contamination rate of the data acquisition device based on the historical maintenance data; a current cleanliness determination module, used to determine the current cleanliness of the data acquisition device at a current time point based on the contamination rate; a comparison module, used to determine a maintenance command based on the current cleanliness and a cleanliness threshold.

[0034] In some embodiments, the current cleanliness determination module includes: a difference determination module, which is used to determine the time interval between two adjacent maintenances and the cleanliness difference based on the maintenance time points in the historical maintenance records; a contamination rate module, which is used to determine the contamination rate. The contamination rate can be calculated by the following formula: ,in, is the dirtiness rate, is the time interval between two adjacent maintenances, For The change in cleanliness of the data acquisition device corresponding to two adjacent maintenances under normal circumstances (not during geological disasters); an average determination module, used to obtain an average dirtiness rate by calculating the average dirtiness rate of at least two adjacent time points; a current module, used to determine the current cleanliness based on the average dirtiness rate and the time interval between the current time point and the last maintenance time point.

[0035] It should be understood that Figure 2 The system and its modules shown can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware.

[0036] It should be noted that the above description of the system and its modules is only for convenience of description and does not limit this specification to the scope of the embodiments. It is understandable that, after understanding the principle of the system, those skilled in the art may arbitrarily combine the modules or form a subsystem connected to other modules without deviating from this principle. Such variations are all within the scope of protection of this specification.

[0037] Figure 3 is an exemplary flow chart of a method for identifying and evaluating the resilience of national space planning according to some embodiments of this specification. In some embodiments, process 300 may be executed by processor 110. Process 300 may include the following steps:

[0038] Step 310, constructing a national land space resilience database through a data acquisition device, and the national land space resilience database includes daily detection data and / or historical detection data.

[0039] The National Land Space Resilience Database is an important tool for managing and analyzing national land space related data, and is used to evaluate and improve the resistance and adaptability of the national land space system to various natural and man-made disasters. The National Land Space Resilience Database can include at least one sub-database, each of which corresponds to a national land space. Including geological databases, meteorological databases, hydrological databases, etc. In the following description, only the geological database is used as an example, and the description of other databases is based on the geological database as a reference.

[0040] The geological database may include daily detection data and / or historical detection data related to at least one type of geological disaster. The types of geological disasters may include, but are not limited to, earthquakes, landslides, debris flows, volcanoes, geological deformations, etc. The geological database may include earthquake detection databases, landslide detection databases, debris flow detection databases, volcano detection databases, geological deformation databases, and other types. The data in the geological database may be acquired through at least one data acquisition device. Earthquake detection data may be acquired through seismographs and accelerometers, landslides and debris flows may be acquired through inclinometers, displacement meters, and groundwater level monitors, volcano monitoring instruments may be acquired through geothermometers, gas analyzers, and temperature detection instruments, and geological deformation detection data may be acquired through GPS and radar interferometers. In some embodiments, the data in the geological database may include at least one of geomorphic data, locations, historical geological disasters, corresponding historical times, and historical prevention and control methods, and social evaluations of corresponding historical prevention and control methods. Historical prevention and control methods may refer to coping methods for corresponding historical geological disasters.

[0041] Daily detection data can refer to data collected in real time or regularly to monitor the status of a specific location or region. In a geological database, daily detection data and historical detection data can come from various data acquisition devices, such as seismometers, accelerometers, inclinometers, displacement meters, etc. Historical detection data can be data collected in the past time period, which can be used to analyze and understand the long-term changes and trends in a specific location or region.

[0042] In some embodiments, the national space resilience database may also include maintenance data of at least one data acquisition device.

[0043] Step 320, determining geological disaster information at a first time point based on daily detection data and / or historical detection data.

[0044] The geological disaster information may be information related to a possible geological disaster. The geological disaster information may include at least one of the location, landform, time, type, severity of the disaster, and corresponding risk value of at least one possible geological disaster. The first time point may refer to a future time point.

[0045] Disaster severity can be used to describe the extent and impact of geological disasters on life, property and the environment. Disaster severity is usually related to the scale, intensity and losses caused by the disaster. Severity can include level 1, level 2, level 3, etc. The higher the level, the higher the severity.

[0046] The geological hazard risk value is used to measure the possibility of geological hazards occurring in a certain area or specific location.

[0047] In some embodiments, the geological disaster information corresponding to the first time point can be determined by the similarity of the current daily detection data and / or the historical detection data. In some embodiments, the corresponding historical disaster information is determined in the national land space resilience database based on the historical detection data, wherein the historical disaster information can refer to the historical detection data of a period of time before the occurrence of the historical geological disaster and the corresponding historical geological disaster landform, time, type, and severity.

[0048] In some embodiments, a time window may be determined, including determining the length of the time window. In some embodiments, a real-time change rate of at least one daily detection data is determined based on the time window, and a real-time change rate sequence is determined based on the real-time change rate, and the real-time change rate sequence and the historical change rate sequence are compared by comparing the similarity between the real-time change rate sequence and the historical change rate sequence with the historical detection data in the historical disaster information.

[0049] In some embodiments, the similarity between the current daily detection data and the historical detection data can be determined by the Euclidean distance formula (1). The current daily detection data and the historical disaster information are arranged, and the Euclidean distance between the current daily detection data and the historical disaster information is calculated.

[0050]

[0051] Where D is the similarity, (X_i) and (Y_i) represent the (i)th eigenvalue in the current daily detection data and historical disaster information, respectively, and (n) is the number of eigenvalues. The eigenvalues ​​can correspond to the data acquisition device. The smaller the distance, the higher the similarity.

[0052] In some embodiments, the historical disaster information corresponding to the highest similarity can be used as the geological disaster information at the first time point. In some embodiments, the first time point can be determined based on the difference between the time point corresponding to the historical detection data and the historical time point when the historical disaster occurred, as well as the time point of the current daily detection data. For example, the first time point is determined by adding the difference between the time point of the current detection data and the above historical time point. Among them, in this embodiment, the historical detection data corresponds to the detection data of a period of time before the historical disaster occurred. In some embodiments, the risk value of the geological disaster at the first time point can be determined based on the first corresponding relationship between the similarity and the risk value. The first corresponding relationship and the similarity threshold can be manually determined.

[0053] In some embodiments, before determining the similarity, it is necessary to determine a feature value used to determine the similarity.

[0054] In some embodiments, for a specific high-risk area for geological disasters, the type of geological disaster is determined based on the high-risk area for geological disasters, and the type of data (feature value) to be compared is determined based on the type of geological disasters, and the data for comparison is determined from daily detection data and historical disaster information based on the data type, thereby narrowing the data comparison range for determining similarity. The data type can correspond to the corresponding data acquisition device and the specific type of geological disaster.

[0055] In some embodiments, the characteristic value can also be determined based on the correlation between different types of geological disasters (i.e., the probability of at least two geological disasters occurring together). Since different types of geological disasters may have mutual influence, common influencing factors or shared prediction data, based on the correlation between different types of geological disasters, the data types corresponding to potential geological disasters in specific geological disaster-prone areas can also be used as characteristic values. The correlation between different types of geological disasters can be determined artificially.

[0056] If the current area corresponds to a type of geological disaster, based on the geomorphic data of the current area, at least one similar landform is determined from the national land space resilience database, and the geological disaster corresponding to at least one similar landform that is different from the geological disaster in the current area is used as other potential geological disaster types in the current area. The data types corresponding to the potential geological disaster types and the geological disaster types corresponding to the current area are used as characteristic values, and daily detection data is determined based on the characteristic data.

[0057] In some embodiments, other potential geological disaster types can be determined based on the geomorphic data of the current area and the probability of the current geological disaster occurring together with other geological disasters. The probability of the occurrence together can be obtained based on other historical data.

[0058] For example, in a certain landslide-prone area, although mudslides have not yet occurred, in other areas, landslides are often accompanied by mudslides, especially when the rainfall intensity is high and the terrain is tortuous. Therefore, for this landslide-prone area, the daily detection data of landslides and mudslides can be considered as relevant data types.

[0059] By increasing the types of relevant data as daily detection data, it can help establish a comprehensive geological disaster early warning system, warn of possible disasters in advance, help local governments and residents take timely preventive measures, reduce losses caused by disasters, and increase the resilience of national land space planning. Through correlation analysis based on geological disasters, relevant geological disaster information and daily detection data can be effectively selected and utilized to improve the understanding and management capabilities of geological disaster risks. By comprehensively considering these types of data, a more comprehensive assessment of the various types of geological disasters that may occur in the current region and its surrounding areas can be made, so as to effectively carry out disaster monitoring, early warning and risk management, and improve the resilience of national land space planning.

[0060] Step 330: determine at least one key prevention area information based on the geological disaster information at the first time point.

[0061] The key prevention area information may refer to information related to an area where the risk value exceeds a risk threshold. The risk threshold may include at least one type, which may be determined according to the type of geological disaster.

[0062] Step 340: determine a prevention and control order based on at least one key prevention area information and corresponding geological disaster information, and the prevention and control order corresponds to the key prevention area at the first time point.

[0063] In some embodiments, the prevention and control order corresponds to the type and severity of the geological disaster. For example, if the type of geological disaster predicted in the key prevention area information is earthquake and the severity is level 3, at least one historical prevention and control method of historical geological disasters is determined as the current prevention and control order based on the disaster information national land space resilience database.

[0064] Through some embodiments of this specification, early warning of possible geological disasters can be provided, and effective preventive measures can be taken to reduce the losses caused by disasters and enhance the resilience of the national space.

[0065] Figure 4 400 is an exemplary flow chart of determining a prevention and control command according to some embodiments of this specification. In some embodiments, process 400 may be executed by processor 110. Process 400 may include the following steps:

[0066] Step 410, determining a command template based on geological disaster information of at least one key prevention area, the command template including at least one blank item and a filled item.

[0067] The command template may refer to a model of a prevention and control command. Filled items may include information on the corresponding key prevention areas and predicted geological disaster information. For example, filled items may include geomorphic information on key prevention areas. Blank items are used to fill in the current key prevention area information with response strategies for geological disasters at the first point in time. Blank items may include manual field testing, strengthening manual monitoring frequency, emergency evacuation, professional rescue standby, information sending, and guiding the public to learn about evacuation knowledge.

[0068] Step 420, obtain at least one first historical prevention and control method based on the national land space resilience database.

[0069] In some embodiments, at least one first historical disaster information is determined from the historical disaster information in the national land space resilience database, and a corresponding first historical prevention method is determined based on the at least one first historical disaster information. The first historical disaster information can be determined by comparing the predicted geological disaster information at the first time point with the corresponding landform information in the national land space resilience database.

[0070] Step 430: acquiring at least one blank information corresponding to at least one blank item based on at least one first historical prevention method.

[0071] Blank information may indicate information corresponding to a blank item. Blank information may be content about a prevention and control order used to fill in a blank item. Blank information may refer to different response strategies set for different disaster severity levels.

[0072] In some embodiments, information is extracted from at least one first historical prevention method according to blank information in sequence, for example, by determining blank information corresponding to the blank information through pathon, natural language, etc. For example, extraction is performed based on manual field detection, and if there is no manual field detection in the corresponding first historical prevention method, the corresponding position "No" can be filled in the blank information "Manual Field Detection".

[0073] At least one blank information is determined based on the blank items in at least one first historical prevention method, and the at least one blank information is classified according to the blank items. For example, in the blank item, "equipped with professional rescue on standby" may correspond to at least one blank information, and each blank information is information about "equipped with professional rescue on standby" extracted from at least one historical prevention method.

[0074] Step 440: determine an effect value based on at least one blank item and at least one blank information, and determine a prevention and treatment order based on the effect value.

[0075] The effect value can refer to the prevention and control effect of geological disasters in key prevention areas.

[0076] In some embodiments, a blank information command template may be randomly selected from the classified blank information in sequence until all positions corresponding to the blank items of the command template are filled in, thereby obtaining a candidate prevention and control command.

[0077] The effect model can be used to determine a predicted effect score.

[0078] The effect model can be a machine learning model, such as a neural network, etc. The input of the effect model is blank information, blank items, command templates and corresponding geological disaster information, and the output is a prediction effect score.

[0079] The effect model may include a candidate control order generation layer and a score generation layer. The candidate control order generation layer is used to generate the candidate control order in step 440. The effect model is used to score based on the candidate control order. In some embodiments, the effect model can be obtained through training based on the first sample data and the first label, and the training process includes: the first sample data includes historical blank items, historical blank information, historical filled items extracted from at least one historical geological disaster information, and the effect score of the corresponding historical control method, and the effect score can be a score based on social evaluation, which is used to characterize the effectiveness of the historical control method. For example, the effect score can be determined based on the reduced loss value corresponding to the historical control method, or it can be determined by public feedback, for example, the scoring of public feedback on historical control methods on the government information mobile phone platform. For another example, based on relevant reports and public evaluations, 100 evaluations are collected, 90 positive ratings, and the effect score can be determined by 90%. The higher the effect score, the greater the effect of the historical control method.

[0080] In some embodiments, the candidate control order with the highest predicted effect score is used as the final control order.

[0081] By evaluating the effectiveness of candidate prevention and control orders as a method for identifying and evaluating the resilience of national land space planning, the ability to respond to predicted geological disasters can be improved and losses can be further reduced.

[0082] Since data acquisition devices are often located in areas with high frequency of geological disasters, the cleanliness of the data acquisition devices will affect the accuracy of daily detection data. When daily detection data deviates, it is necessary to further determine whether it is caused by a failure of the data acquisition device or a geological disaster. In some embodiments, it is possible to analyze whether there are signs of equipment damage or performance degradation based on the historical maintenance data of the data acquisition device and the daily detection data to determine the maintenance order and further determine whether the deviation is caused by a failure of the data acquisition device itself.

[0083] The accuracy of current daily test data can be determined in the following ways:

[0084] When it is determined based on daily detection data that a geological disaster may occur, it is necessary to further determine a maintenance order. In some embodiments, the maintenance order is determined by:

[0085] The historical maintenance data of the data acquisition device is obtained from the national space resilience database, the dirtiness rate of the data acquisition device is determined based on the historical maintenance data, the current cleanliness of the data acquisition device at the current time point is determined based on the dirtiness rate, and further, the maintenance command is determined based on the current cleanliness and the cleanliness threshold. When the cleanliness is lower than the cleanliness threshold, maintenance is performed.

[0086] Historical maintenance records may include the time of maintenance, details of parts replaced, and historical cleanliness.

[0087] The historical cleanliness of the data acquisition device can refer to the cleanliness of the data acquisition device at each maintenance. For example, the cleanliness is determined by the image data of the data acquisition device obtained by the maintenance personnel through the camera equipment at each maintenance, and the dirty area and color depth in the image data. The higher the cleanliness, the cleaner the data acquisition device.

[0088] In some embodiments, historical troubleshooting data is collected:

[0089] Based on the data in the historical maintenance records, the cleanliness of the device and the corresponding time point are used to calculate the dirt increment (corresponding cleanliness difference):

[0090] Determine the time interval and cleanliness difference between two adjacent maintenances based on the maintenance time points in the historical maintenance records:

[0091] The fouling rate can be calculated using the following formula (2):

[0092] in, is the dirtiness rate, is the time interval between two adjacent maintenances, For The change in cleanliness of the data acquisition device corresponding to two adjacent maintenance operations under normal circumstances (not during geological disasters).

[0093] The average fouling rate is obtained by calculating the average fouling rate of at least two adjacent time points.

[0094] In some embodiments, a method for determining the current cleanliness based on the average soiling rate may include:

[0095] The current cleanliness is determined based on the average dirtiness rate and the time interval between the current time point and the last inspection time point. Assuming the time interval since the last inspection, the cleanliness change at the current moment can be calculated, and the current cleanliness is determined based on the cleanliness of the last inspection.

[0096] By determining the cleanliness at the current time point, it is possible to determine whether the deviation in daily inspection data is caused by the dirtiness of the data acquisition device. If it can be determined early that the deviation in daily inspection data is caused by the data acquisition device, the accuracy of prevention and control orders can be improved and waste of resources can be reduced.

[0097] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or any other beneficial effects that may be obtained.

[0098] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of this specification. Although not explicitly stated here, those skilled in the art may make various modifications, improvements and corrections to this specification. Such modifications, improvements and corrections are suggested in this specification, so such modifications, improvements and corrections still belong to the spirit and scope of the exemplary embodiments of this specification.

[0099] At the same time, this specification uses specific words to describe the embodiments of this specification. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures or characteristics in one or more embodiments of this specification can be appropriately combined.

[0100] In addition, unless explicitly stated in the claims, the order of the processing elements and sequences described in this specification, the use of alphanumeric characters, or the use of other names are not intended to limit the order of the processes and methods of this specification. Although the above disclosure discusses some embodiments currently considered useful through various examples, it should be understood that such details are only for illustrative purposes, and the attached claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that are consistent with the essence and scope of the embodiments of this specification. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only by software solutions, such as installing the described system on an existing server or mobile device.

[0101] Similarly, it should be noted that in order to simplify the description disclosed in this specification and thus help understand one or more embodiments, in the above description of the embodiments of this specification, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the features required by the subject matter of this specification are more than the features mentioned in the claims. In fact, the features of the embodiments are less than all the features of the single embodiment disclosed above.

[0102] In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may change according to the required features of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining the digits. Although the numerical domains and parameters used to confirm the breadth of the range in some embodiments of this specification are approximate values, in specific embodiments, the setting of such numerical values ​​is as accurate as possible within the feasible range.

[0103] Each patent, patent application, patent application publication, and other materials, such as articles, books, specifications, publications, documents, etc., cited in this specification is hereby incorporated by reference in its entirety. Except for application history documents that are inconsistent with or conflicting with the contents of this specification, documents that limit the broadest scope of the claims of this specification (currently or later attached to this specification) are also excluded. It should be noted that if the descriptions, definitions, and / or use of terms in the materials attached to this specification are inconsistent or conflicting with the contents described in this specification, the descriptions, definitions, and / or use of terms in this specification shall prevail.

[0104] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. A method for identifying and evaluating the resilience of national land space planning, characterized in that: The method comprises: A national land space resilience database is constructed by a data acquisition device, wherein the national land space resilience database includes daily detection data and historical detection data, wherein the daily detection data refers to data collected in real time or regularly and is used to monitor the status of a specific location or region, and the historical detection data refers to data collected in a past time period, wherein corresponding historical disaster information is determined based on the historical detection data, and the historical disaster information refers to historical detection data for a period of time before a historical geological disaster occurred and the corresponding historical geological disaster landform, time, type, and severity; Determine geological disaster information at a first time point based on the daily detection data and the historical detection data, the geological disaster information including at least one of the location, landform, time, type, severity of the disaster and a corresponding risk value of at least one possible geological disaster, the first time point refers to a future time point; Determine at least one key prevention area information based on the geological disaster information at the first time point; Determine a prevention and control order based on at least one of the key prevention area information and the corresponding geological disaster information, wherein the prevention and control order corresponds to the key prevention area at the first time point; Determining the geological disaster information at the first time point includes: Determine the length of the time window; Determine a real-time rate of change of at least one daily detection data based on the time window; determining a real-time change rate sequence based on the real-time change rate; By comparing the similarity between the real-time change rate sequence and the historical change rate sequence with the historical detection data in the historical disaster information and the historical change rate sequence, the historical disaster information corresponding to the highest similarity is used as the geological disaster information at the first time point; Determining the first time point includes: Determine the first time point based on the difference between the time point corresponding to the historical detection data and the historical time point when the historical disaster occurred, and the time point of the current daily detection data; For the data acquisition device, when deviations occur in the daily detection data, it is determined whether the deviation is caused by a failure of the data acquisition device or a geological disaster. Based on the historical maintenance data of the data acquisition device and the daily detection data, it is analyzed whether there are signs of equipment damage or performance degradation to determine the maintenance command.

2. The method according to claim 1, characterized in that The determination of prevention and control orders includes: Determine a command template based on the at least one key prevention area and the geological disaster information, wherein the command template includes at least one blank item and a filled item; Acquire at least one first historical prevention and control method based on the national land space resilience database; Acquire at least one blank information corresponding to the at least one blank item based on the at least one first historical prevention method; An effect value is determined based on the at least one blank item and the at least one blank information, and the prevention and control command is determined based on the effect value, wherein the effect value refers to the prevention and control effect of the geological disasters in the key prevention area.

3. The method according to claim 1, characterized in that The determining of the maintenance command comprises: Acquire historical maintenance data of a data acquisition device from the national space resilience database; determining a fouling rate of the data acquisition device based on the historical maintenance data; Determining a current cleanliness level of the data acquisition device at a current point in time based on the contamination rate; The maintenance command is determined based on the current cleanliness level and a cleanliness level threshold.

4. The method according to claim 3, characterized in that Determining the current cleanliness of the data acquisition device at the current time point includes: Determine the time interval and cleanliness difference between two adjacent maintenances based on the maintenance time points in the historical maintenance records: The fouling rate is calculated by the following formula: in, is the fouling rate, is the time interval between two adjacent maintenances, For The change in cleanliness of the data acquisition device corresponding to the maintenance during two consecutive non-geological disaster periods; The average soiling rate is obtained by calculating the average soiling rate of at least two adjacent time points; The current cleanliness is determined based on the average dirtiness rate and the time interval between the current time point and the last maintenance time point.

5. A national land space planning resilience identification and evaluation system, characterized in that: The system comprises: A database acquisition module, used for constructing a national space resilience database through a data acquisition device, wherein the national space resilience database includes daily detection data and historical detection data, wherein the daily detection data refers to data collected in real time or regularly and used to monitor the status of a specific location or region, and the historical detection data refers to data collected in a past time period, wherein corresponding historical disaster information is determined based on the historical detection data, and the historical disaster information refers to historical detection data of a period of time before a historical geological disaster occurred and the corresponding historical geological disaster landform, time, type, and severity; A disaster information determination module, for determining geological disaster information at a first time point based on the daily detection data and the historical detection data, the geological disaster information including at least one of the location, landform, time, type, severity of the disaster and a corresponding risk value of at least one possible geological disaster, the first time point being a future time point; A prevention area information acquisition module, used to determine at least one key prevention area information based on the geological disaster information at the first time point; A prevention and control order determination module, used to determine a prevention and control order based on the at least one key prevention area information and the corresponding geological disaster information, wherein the prevention and control order corresponds to the key prevention area at the first time point; The disaster information determination module is used for: Determine the length of the time window; Determine a real-time rate of change of at least one daily detection data based on the time window; determining a real-time change rate sequence based on the real-time change rate; By comparing the similarity between the real-time change rate sequence and the historical change rate sequence with the historical detection data in the historical disaster information and the historical change rate sequence, the historical disaster information corresponding to the highest similarity is used as the geological disaster information at the first time point; The disaster information determination module is also used for: The first time point is determined based on the difference between the time point corresponding to the historical detection data and the historical time point of the historical disaster, as well as the time point of the current daily detection data. The maintenance order determination module determines whether the deviation is caused by a failure of the data acquisition device or a geological disaster when a deviation occurs in the daily inspection data. It analyzes whether there are signs of equipment damage or performance degradation based on the historical maintenance data of the data acquisition device and the daily inspection data to determine the maintenance order.

6. The system according to claim 5, characterized in that The prevention and control order determination module is further used for: A template determination module, used to determine a command template based on at least one of the key prevention areas and the geological disaster information, wherein the command template includes at least one blank item and a filled item; A historical prevention method determination module, used for obtaining at least one first historical prevention method based on the national land space resilience database; at least one blank information determination module, configured to obtain at least one blank information corresponding to the at least one blank item based on the at least one first historical prevention method; The effect determination module is used to determine the effect value based on the at least one blank item and the at least one blank information, and determine the prevention and control command based on the effect value, wherein the effect value refers to the prevention and control effect of geological disasters in key prevention areas.

7. The system according to claim 5, characterized in that The maintenance command determination module comprises: A maintenance data acquisition module, used to acquire historical maintenance data of a data acquisition device from the national land space resilience database; a rate determination module, for determining a fouling rate of the data acquisition device based on the historical maintenance data; A current cleanliness determination module, used to determine the current cleanliness of the data acquisition device at a current time point based on the dirtiness rate; A comparison module is used to determine the maintenance command based on the current cleanliness and the cleanliness threshold.

8. The system according to claim 7, characterized in that The current cleanliness determination module comprises: The difference determination module is used to determine the time interval and cleanliness difference between two adjacent maintenances based on the maintenance time points in the historical maintenance records: The fouling rate module is used to determine the fouling rate, which is calculated by the following formula: in, is the fouling rate, is the time interval between two adjacent maintenances, For The change in cleanliness of the data acquisition device corresponding to the maintenance during two consecutive non-geological disaster periods; An average determination module, used to obtain an average soiling rate by calculating the average soiling rate of at least two adjacent time points; The current module is used to determine the current cleanliness based on the average dirtiness rate and the time interval between the current time point and the last maintenance time point.

9. A device for identifying and evaluating the resilience of national land space planning, characterized in that: The apparatus comprises at least one processor and at least one memory; The at least one memory is used to store computer instructions; The at least one processor is configured to execute at least part of the computer instructions to implement the method according to any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: The storage medium stores computer instructions, which implement the method according to any one of claims 1 to 4 when executed by a processor.

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