Early warning and emergency response management system for geological disasters

Abstract

The invention discloses a geological disaster early warning emergency response management system, and belongs to the technical field of geological disasters, and the system comprises a data collection module which is used for collecting geological condition real-time data based on the Internet of Things; the data processing module is used for processing the geological condition real-time data based on the Internet of Things and determining geological condition feature data; the risk assessment module is used for performing risk assessment on the geological condition characteristic data and determining a geological disaster risk assessment result; and the emergency management module is used for carrying out early warning and emergency response management on geological disasters. The problems that the geological disaster response efficiency is low, the geological disaster early warning emergency response management effect is poor and the life and property safety of people cannot be guaranteed due to the fact that real-time monitoring and early warning emergency response management cannot be carried out on geological disasters in the prior art are solved. According to the invention, real-time monitoring and early warning emergency response management can be carried out on geological disasters, the geological disaster response efficiency is improved, the geological disaster early warning emergency response management effect is good, and the life and property safety of people can be fully guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of geological disaster technology, in particular to a geological disaster early warning emergency response management system. Background Art

[0002] With the influence of climate change and human activities, the frequency and severity of geological disasters are increasing; geological disasters refer to geological actions or phenomena formed under the influence of natural or human factors, which cause losses to human life and property and damage to the environment; the distribution and change patterns of geological disasters in time and space are both subject to the natural environment and related to human activities, and are often the result of the interaction between humans and nature.

[0003] The Chinese patent with publication number CN106097662A discloses a geological disaster monitoring device, including: a reference box, a monitoring box, a baffle, a fixed column, and a buffer spring. The monitoring box and the fixed column are fixed on the slope of the monitored mountain. A pulley is provided on the lower surface of the monitoring box, and a wheel block group is provided at the lower end of the pulley. The wheel block group includes: M blocks, and the heat dissipation structure includes: a heat dissipation fan, an air collecting hood, an exhaust main pipe, a diverter valve, N exhaust branch pipes, and N air needles. The equipment is reasonably designed, the monitoring box is protected, and it is not easily damaged by falling rocks. The monitoring box is easy to recover when a geological disaster occurs; however, the patent has the following defects: The existing system is unable to conduct real-time monitoring and early warning emergency response management of geological disasters, resulting in inefficient response to geological disasters, poor geological disaster early warning emergency response management, and inability to fully protect the safety of people’s lives and property. Summary of the invention

[0004] The purpose of the present invention is to provide a geological disaster early warning emergency response management system, which can carry out real-time monitoring and early warning emergency response management of geological disasters, improve the efficiency of geological disaster response, make the geological disaster early warning emergency response management effect good, fully protect people's lives and property safety, and solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: Geological disaster early warning emergency response management system, including: Data acquisition module, used to collect geological displacement, strain, vibration, electromagnetic, topographic, meteorological and surface water conditions based on sensors, and determine real-time geological data based on the Internet of Things; A data processing module is used to process the real-time data of geological conditions based on the Internet of Things and determine the characteristic data of geological conditions based on the Internet of Things; The risk assessment module is used to conduct risk assessment on geological condition characteristic data based on the Internet of Things and determine the results of geological disaster risk assessment; The emergency management module is used to formulate geological disaster early warning emergency response management plans and conduct early warning emergency response management for geological disasters.

[0006] Preferably, the data acquisition module further includes: Displacement monitoring unit, used to monitor geological displacement; Real-time monitoring of geological fractures and structural changes based on sensors, and collection of geological displacement data; Strain monitoring unit, used to monitor geological strain conditions; Real-time monitoring of geological rock strain based on sensors to collect geological strain data; Vibration monitoring unit, used to monitor geological vibrations; Real-time monitoring of geological vibration conditions based on sensors to collect geological vibration data; Electromagnetic monitoring unit, used to monitor geological electromagnetic conditions; Real-time monitoring of geological electromagnetic conditions based on sensors and collection of geological electromagnetic data; Terrain monitoring unit, used to monitor geological and topographic conditions; Real-time monitoring of geological and topographic conditions based on sensors, and collection of geological and topographic data; Meteorological monitoring unit, used to monitor geological and meteorological conditions; Real-time monitoring of geological and meteorological conditions based on sensors, and collection of geological and meteorological data; Surface water monitoring unit, used to monitor geological surface water conditions; Real-time monitoring of geological surface water conditions based on sensors, and collection of geological surface water data; Among them, real-time data of geological conditions based on the Internet of Things are determined based on geological displacement data, geological strain data, geological vibration data, geological electromagnetic data, geological topographic data, geological meteorological data and geological surface water data.

[0007] Preferably, the data processing module includes: Data cleaning unit, used to clean the real-time data of geological conditions based on the Internet of Things; Obtain real-time data on geological conditions based on the Internet of Things; Clean and process the real-time geological data based on the Internet of Things, including: Conduct consistency checks on real-time data of geological conditions based on IoT; According to the data consistency requirements, check whether the real-time geological data based on the Internet of Things contains inconsistent data that is useless for geological disaster early warning emergency response management, and remove the inconsistent data in the real-time geological data based on the Internet of Things; Check invalid and missing values ​​for real-time geological data based on the Internet of Things; According to the requirements of data validity and integrity, check whether the real-time geological data based on the Internet of Things contains invalid values ​​and missing values ​​that are useless for geological disaster early warning emergency response management, and remove the invalid values ​​and missing values ​​in the real-time geological data based on the Internet of Things; Identify the real-time data of geological conditions based on IoT that are useful for geological hazard early warning and emergency response management.

[0008] Preferably, the data processing module further includes: A data conversion unit, used to convert the cleaned real-time data of geological conditions based on the Internet of Things; Obtain real-time data of geological conditions based on the Internet of Things that are useful for geological disaster early warning and emergency response management after cleaning; Convert and process real-time geological data based on the Internet of Things that is useful for geological disaster early warning and emergency response management; Unify the formats of real-time geological data based on the Internet of Things that are useful for geological disaster early warning and emergency response management, eliminate the dimensional differences between real-time geological data based on the Internet of Things that are useful for geological disaster early warning and emergency response management, and determine standardized real-time geological data based on the Internet of Things; A feature extraction unit, used for extracting features from the converted real-time data of geological conditions based on the Internet of Things; Obtain standardized IoT-based real-time data on geological conditions; Feature extraction of standardized IoT-based real-time geological data; Features that can reflect geological disaster warning emergency response management are extracted from standardized real-time geological condition data based on the Internet of Things, and geological condition characteristic data based on the Internet of Things are determined.

[0009] Preferably, the risk assessment module includes: Standard storage unit, used to store standard data of geological conditions; According to the geological disaster early warning emergency response management needs, the geological condition standard data is pre-set and stored for backup; An index calling unit, used for indexing and calling geological condition standard data; According to the geological disaster early warning emergency response management requirements, the stored geological condition standard data is indexed and the indexed geological condition standard data is called; A risk assessment unit, used to conduct risk assessment on geological condition characteristic data based on the Internet of Things; Obtain geological condition characteristic data based on the Internet of Things; Based on the standard geological condition data, a comparative analysis is conducted on the geological condition characteristic data to assess the geological hazard risk situation and determine the geological hazard risk assessment results.

[0010] Preferably, based on the geological condition standard data, the geological condition characteristic data is compared and analyzed, including: When the geological condition characteristic data is within the range of geological condition standard data, the geological disaster risk assessment result is that the geological disaster risk is low and there is no need for early warning emergency response management of geological disasters; When the geological condition characteristic data is not within the range of geological condition standard data, the geological hazard risk assessment result is that the geological hazard risk is high, and early warning emergency response management of geological hazards is required.

[0011] Preferably, the emergency management module includes: The plan formulation unit is used to formulate geological disaster early warning emergency response management plans; Obtain geological hazard risk assessment results; When the risk of geological disasters is high and early warning emergency response management is needed for geological disasters, the geological condition characteristic data is analyzed to determine the reasons for the high risk of geological disasters, and based on the reasons for the high risk of geological disasters, a geological disaster early warning emergency response management plan is formulated; Emergency management unit, used for early warning emergency response management of geological disasters; Obtain geological disaster early warning emergency response management plan; Carry out early warning and emergency response management of geological disasters based on the geological disaster early warning and emergency response management plan.

[0012] Preferably, early warning emergency response management for geological disasters includes: Early warning response management: push geological disaster risk assessment results and early warning information to management departments and personnel, conduct timely and accurate early warning response, and remind management departments and personnel to pay attention to geological disaster risks; Emergency plan management: formulate corresponding emergency plans according to the geological disaster risk situation, and manage and update the plans to adapt to the changing geomorphic conditions and geological disaster risks; Emergency rescue command and dispatch: When a geological disaster occurs, through the visual monitoring system and command and dispatch platform, coordinate various departments and rescue teams to carry out emergency rescue work and reduce disaster losses.

[0013] Preferably, the data acquisition module further includes: Data classification unit for: Based on the management terminal, the management requirements for the real-time geological data based on the Internet of Things are obtained, and the management requirements are analyzed to determine the classification standards for the real-time geological data based on the Internet of Things; Analyze the real-time geological data based on the Internet of Things based on a deep neural network, obtain the target semantics of the real-time geological data based on the Internet of Things, and extract the key features of the real-time geological data based on the Internet of Things based on the target semantics; A decision tree is constructed based on the classification criteria and key features, and the real-time geological condition data based on the Internet of Things is classified and processed based on the decision tree to obtain a multi-category real-time geological condition data set based on the Internet of Things; Data storage unit for: Based on multiple categories of real-time geological data sets based on the Internet of Things, the preset storage space is divided into regions, the storage nodes corresponding to each category of real-time geological data sets based on the Internet of Things are obtained, and a data topic is allocated to each storage node; Determine the resource allocation amount for each storage node based on the number of storage nodes and the processing amount of each storage node for the corresponding category of the IoT-based geological condition real-time data set, and allocate resources to each storage node based on the resource allocation amount to build a distributed storage mechanism; Based on the distributed storage mechanism, multiple categories of IoT-based real-time geological data sets are stored in corresponding storage nodes according to data topics; Data management unit for: Performing state traversal on the real-time geological condition data based on the Internet of Things in each storage node, and generating a state curve of the real-time geological condition data based on the Internet of Things in each storage node based on the state traversal result; At the same time, the real-time data of geological conditions based on the Internet of Things in each storage node is updated based on the storage order, and the status curve is synchronously updated based on the update result; Generate a state representation diagram of the data in each storage node based on the synchronous update result, and synchronously store the state representation diagram in the storage node; Determine the space address of each storage node in the preset storage space based on the synchronization storage result, and generate a local index of each storage node based on the space address and the data subject of each storage node; Build a distributed search engine, configure the background running data of the distributed search engine based on the local index, and associate the configured distributed search engine with each storage node in the preset storage space.

[0014] Preferably, the emergency management module includes: A program reading unit is used to read the geological disaster early warning emergency response management plan and determine the management steps for the geological disaster early warning emergency response management; The simulation unit is used to obtain the benchmark management result value corresponding to each management step, and at the same time, simulate the geological disaster early warning emergency response management plan in the computer to obtain the simulation result value corresponding to each management step; Computing unit for: Calculate the pass rate of the geological disaster early warning emergency response management plan based on the benchmark management result value and the simulation result value; ; in, Indicates the pass rate of geological disaster early warning emergency response management plan; Indicates the number of management steps in the geological disaster early warning emergency response management plan; Indicates the serial number value of the management step of the geological disaster early warning emergency response management plan; Indicates The benchmark management result value of each management step; Indicates The simulation result value of each management step; represents the logarithmic function with base e; represents the computer simulation impact factor, and its value range is (0.01, 0.02); Qualification determination unit, used for: Obtain the preset pass rate threshold, and make a pass determination on the geological disaster early warning emergency response management plan according to the following formula; ; in, represents the target ratio; Indicates the pass rate threshold; when When the geological disaster early warning emergency response management plan is qualified; when If the geological disaster early warning emergency response management plan is found to be unqualified; A storage unit is used to store the current geological disaster early warning emergency response management plan and the currently collected geological condition characteristic data when the geological disaster early warning emergency response management plan is determined to be qualified; The alarm unit is used to determine the wrong management steps of the geological disaster early warning emergency response management plan when it is determined that the geological disaster early warning emergency response management plan is unqualified, and send an alarm message to the user terminal.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention collects geological displacement, strain, vibration, electromagnetic, topographic, meteorological and surface water conditions through sensors, determines real-time geological condition data based on the Internet of Things, processes the real-time geological condition data based on the Internet of Things, determines geological condition characteristic data based on the Internet of Things, compares and analyzes the geological condition characteristic data based on geological condition standard data, evaluates the geological disaster risk situation, determines the geological disaster risk assessment result, and formulates a geological disaster early warning emergency response management plan to carry out early warning emergency response management of geological disasters. It can carry out real-time monitoring and early warning emergency response management of geological disasters, improve the efficiency of geological disaster response, and make the geological disaster early warning emergency response management effect good. To a certain extent, it can fully protect the safety of people's lives and property.

[0016] 2. By analyzing the management needs of the real-time geological data based on the Internet of Things obtained by the management terminal, the classification standards of the real-time geological data based on the Internet of Things are accurately and effectively determined. At the same time, the real-time geological data based on the Internet of Things is analyzed to accurately and effectively determine the key features of the real-time geological data based on the Internet of Things, so as to realize accurate and reliable classification and processing of the real-time geological data based on the Internet of Things according to the classification standards and key features. Secondly, the preset storage space is divided into storage nodes, and a distributed storage mechanism is constructed according to the division results to realize reliable storage of the multi-category real-time geological data based on the Internet of Things in the corresponding storage nodes. Finally, the state of the real-time geological data based on the Internet of Things in each storage node is traversed according to the storage results, and the state curve corresponding to the real-time geological data based on the Internet of Things is generated, so that the management terminal can accurately and effectively understand the state changes of the real-time geological data based on the Internet of Things in each storage node. At the same time, a distributed search engine is constructed and associated with each storage node, so that the management terminal can quickly and effectively locate and access the data to be retrieved when retrieving data, which provides convenience and guarantee for the management of geological disaster early warning emergency response.

[0017] 3. By reading the geological disaster warning emergency response management plan, the management steps of the geological disaster warning emergency response management can be effectively determined; by determining the benchmark management result value corresponding to each management step and the simulation result value corresponding to each management step when the geological disaster warning emergency response management plan is simulated in the computer, the qualified rate of the geological disaster warning emergency response management plan can be effectively calculated, and the geological disaster warning emergency response management plan can be effectively split, so as to achieve the detailed and accurate analysis of the geological disaster warning emergency response management plan, and ensure that the calculated qualified rate is more effective. By obtaining the qualified rate threshold and calculating the target ratio, the qualified judgment of the geological disaster warning emergency response management plan is effectively realized, and the timely grasp of the dynamics of the geological disaster warning emergency response management plan is further guaranteed. When the geological disaster warning emergency response management plan is unqualified, an alarm message is sent to the user terminal, which is conducive to timely grasping the status of the geological disaster warning emergency response management plan, thereby achieving timely adjustment, ensuring the effective implementation of the geological disaster warning emergency response management plan, and improving the efficiency of geological disaster warning emergency response management. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a module structure diagram of the geological disaster early warning emergency response management system of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] In order to solve the existing problems of being unable to conduct real-time monitoring and early warning emergency response management of geological disasters, resulting in low efficiency in geological disaster response, poor geological disaster early warning emergency response management, and inability to fully protect the safety of people's lives and property, please refer to Figure 1 , this embodiment provides the following technical solutions: The geological disaster early warning emergency response management system includes: data acquisition module, data processing module, risk assessment module and emergency management module.

[0021] It should be noted that the geological displacement, strain, vibration, electromagnetic, topography, meteorology and surface water conditions are collected through the data acquisition module to determine the real-time data of geological conditions based on the Internet of Things; the real-time data of geological conditions based on the Internet of Things are processed through the data processing module to determine the characteristic data of geological conditions based on the Internet of Things; the risk assessment module is used to conduct risk assessment on the characteristic data of geological conditions based on the Internet of Things to determine the results of geological disaster risk assessment; the emergency management module is used to formulate a geological disaster early warning emergency response management plan, and early warning emergency response management is carried out for geological disasters. Real-time monitoring and early warning emergency response management of geological disasters can be carried out, the efficiency of geological disaster response can be improved, and the early warning emergency response management of geological disasters can be effective. To a certain extent, the safety of people's lives and property can be fully protected.

[0022] In this embodiment, the data acquisition module further includes: Displacement monitoring unit, used to monitor geological displacement; Real-time monitoring of geological fractures and structural changes based on sensors, and collection of geological displacement data; Strain monitoring unit, used to monitor geological strain conditions; Real-time monitoring of geological rock strain based on sensors to collect geological strain data; Vibration monitoring unit, used to monitor geological vibrations; Real-time monitoring of geological vibration conditions based on sensors to collect geological vibration data; Electromagnetic monitoring unit, used to monitor geological electromagnetic conditions; Real-time monitoring of geological electromagnetic conditions based on sensors and collection of geological electromagnetic data; Terrain monitoring unit, used to monitor geological and topographic conditions; Real-time monitoring of geological and topographic conditions based on sensors, and collection of geological and topographic data; It should be noted that terrain monitoring includes monitoring of parameters such as elevation, slope, and profile line; Meteorological monitoring unit, used to monitor geological and meteorological conditions; Real-time monitoring of geological and meteorological conditions based on sensors, and collection of geological and meteorological data; It should be noted that meteorological monitoring includes monitoring of parameters such as rainfall, temperature, and air pressure; Surface water monitoring unit, used to monitor geological surface water conditions; Real-time monitoring of geological surface water conditions based on sensors, and collection of geological surface water data; It should be noted that surface water monitoring includes monitoring of parameters such as precipitation, flow rate, and water quality; Among them, real-time data of geological conditions based on the Internet of Things are determined based on geological displacement data, geological strain data, geological vibration data, geological electromagnetic data, geological topographic data, geological meteorological data and geological surface water data.

[0023] In this embodiment, the data processing module includes: Data cleaning unit, used to clean the real-time data of geological conditions based on the Internet of Things; Obtain real-time data on geological conditions based on the Internet of Things; Clean and process the real-time geological data based on the Internet of Things, including: Conduct consistency checks on real-time data of geological conditions based on IoT; According to the data consistency requirements, check whether the real-time geological data based on the Internet of Things contains inconsistent data that is useless for geological disaster early warning emergency response management, and remove the inconsistent data in the real-time geological data based on the Internet of Things; Check invalid and missing values ​​for real-time geological data based on the Internet of Things; According to the requirements of data validity and integrity, check whether the real-time geological data based on the Internet of Things contains invalid values ​​and missing values ​​that are useless for geological disaster early warning emergency response management, and remove the invalid values ​​and missing values ​​in the real-time geological data based on the Internet of Things; Identify the real-time data of geological conditions based on IoT that are useful for geological hazard early warning and emergency response management.

[0024] It should be noted that data cleaning refers to the process of processing and organizing raw data to improve the quality and usability of the data.

[0025] Among them, the consistency check is to check whether the data meets the requirements based on the reasonable value range and mutual relationship of each parameter, and to find data that exceeds the normal range, is logically unreasonable or contradictory; for example, a variable measured by a 1-7 scale has a value of 0, and a negative number appears in the weight, which should be regarded as exceeding the normal value range; computer software such as SPSS, SAS and Excel can automatically identify each variable value that exceeds the range according to the defined value range; logically inconsistent answers may appear in various forms: for example, many respondents said that they drove to work, but reported that they did not have a car; or the respondents reported that they were heavy buyers and users of a certain brand, but at the same time gave a very low score on the familiarity scale; when inconsistencies are found, the questionnaire number, record number, variable name, error category, etc. should be listed to facilitate further verification and correction.

[0026] Therefore, by cleaning the real-time geological condition data based on the Internet of Things, inconsistent data, invalid values ​​and missing values ​​that are useless for geological disaster warning emergency response management in the real-time geological condition data based on the Internet of Things can be removed, and the real-time geological condition data based on the Internet of Things that are useful for geological disaster warning emergency response management can be determined, which can improve the subsequent processing accuracy and efficiency of the real-time geological condition data based on the Internet of Things.

[0027] In this embodiment, the data processing module further includes: A data conversion unit, used to convert the cleaned real-time data of geological conditions based on the Internet of Things; Obtain real-time data of geological conditions based on the Internet of Things that are useful for geological disaster early warning and emergency response management after cleaning; Convert and process real-time geological data based on the Internet of Things that is useful for geological disaster early warning and emergency response management; Unify the formats of real-time geological data based on the Internet of Things that are useful for geological disaster early warning and emergency response management, eliminate the dimensional differences between real-time geological data based on the Internet of Things that are useful for geological disaster early warning and emergency response management, and determine standardized real-time geological data based on the Internet of Things; A feature extraction unit, used for extracting features from the converted real-time data of geological conditions based on the Internet of Things; Obtain standardized IoT-based real-time data on geological conditions; Feature extraction of standardized IoT-based real-time geological data; Features that can reflect geological disaster warning emergency response management are extracted from standardized real-time geological condition data based on the Internet of Things, and geological condition characteristic data based on the Internet of Things are determined.

[0028] It should be noted that by converting and extracting features of real-time geological condition data based on the Internet of Things, characteristic data of geological conditions based on the Internet of Things can be determined, which is convenient for subsequent risk assessment of the characteristic data of geological conditions.

[0029] In this embodiment, the risk assessment module includes: Standard storage unit, used to store standard data of geological conditions; According to the geological disaster early warning emergency response management needs, the geological condition standard data is pre-set and stored for backup; An index calling unit, used for indexing and calling geological condition standard data; According to the geological disaster early warning emergency response management requirements, the stored geological condition standard data is indexed and the indexed geological condition standard data is called; A risk assessment unit, used to conduct risk assessment on geological condition characteristic data based on the Internet of Things; Obtain geological condition characteristic data based on the Internet of Things; Based on the standard geological condition data, a comparative analysis is conducted on the geological condition characteristic data to assess the geological hazard risk situation and determine the geological hazard risk assessment results.

[0030] In this embodiment, based on the geological condition standard data, the geological condition characteristic data is compared and analyzed, including: When the geological condition characteristic data is within the range of geological condition standard data, the geological disaster risk assessment result is that the geological disaster risk is low and there is no need for early warning emergency response management of geological disasters; When the geological condition characteristic data is not within the range of geological condition standard data, the geological hazard risk assessment result is that the geological hazard risk is high, and early warning emergency response management of geological hazards is required.

[0031] Specifically, based on the geological condition standard data, the geological condition characteristic data was compared and analyzed, among which the geological disaster risk assessment results are shown in Table 1: Comparative analysis of geological condition characteristic data based on geological condition standard data Geological Hazard Risk Assessment Results The geological condition characteristic data is within the scope of the geological condition standard data The risk of geological disasters is low, and there is no need for early warning emergency response management of geological disasters The geological condition characteristic data is not within the scope of the geological condition standard data The risk of geological disasters is high, and early warning and emergency response management of geological disasters is needed Therefore, based on the standard geological condition data, a comparative analysis of the geological condition characteristic data is carried out to evaluate the geological disaster risk situation and determine the geological disaster risk assessment results, which is convenient for subsequent early warning and emergency response management of geological disasters.

[0032] In this embodiment, the emergency management module includes: The plan formulation unit is used to formulate geological disaster early warning emergency response management plans; Obtain geological hazard risk assessment results; When the risk of geological disasters is high and early warning emergency response management is needed for geological disasters, the geological condition characteristic data is analyzed to determine the reasons for the high risk of geological disasters, and based on the reasons for the high risk of geological disasters, a geological disaster early warning emergency response management plan is formulated; Emergency management unit, used for early warning emergency response management of geological disasters; Obtain geological disaster early warning emergency response management plan; Carry out early warning and emergency response management of geological disasters based on the geological disaster early warning and emergency response management plan.

[0033] In this embodiment, early warning emergency response management for geological disasters includes: Early warning response management: push geological disaster risk assessment results and early warning information to management departments and personnel, conduct timely and accurate early warning response, and remind management departments and personnel to pay attention to geological disaster risks; Emergency plan management: formulate corresponding emergency plans according to the geological disaster risk situation, and manage and update the plans to adapt to the changing geomorphic conditions and geological disaster risks; Emergency rescue command and dispatch: When a geological disaster occurs, through the visual monitoring system and command and dispatch platform, coordinate various departments and rescue teams to carry out emergency rescue work and reduce disaster losses.

[0034] Among them, the data and results of the geological disaster early warning emergency response management system will be shared to provide support for government decision-making and disaster prevention and mitigation research, and promote the development and application of geological disaster early warning technology.

[0035] This embodiment provides a geological disaster early warning emergency response management system, a data acquisition module, and further includes: Data classification unit for: Based on the management terminal, the management requirements for the real-time geological data based on the Internet of Things are obtained, and the management requirements are analyzed to determine the classification standards for the real-time geological data based on the Internet of Things; Analyze the real-time geological data based on the Internet of Things based on a deep neural network, obtain the target semantics of the real-time geological data based on the Internet of Things, and extract the key features of the real-time geological data based on the Internet of Things based on the target semantics; A decision tree is constructed based on the classification criteria and key features, and the real-time geological condition data based on the Internet of Things is classified and processed based on the decision tree to obtain a multi-category real-time geological condition data set based on the Internet of Things; Data storage unit for: Based on multiple categories of real-time geological data sets based on the Internet of Things, the preset storage space is divided into regions, the storage nodes corresponding to each category of real-time geological data sets based on the Internet of Things are obtained, and a data topic is allocated to each storage node; Determine the resource allocation amount for each storage node based on the number of storage nodes and the processing amount of each storage node for the corresponding category of the IoT-based geological condition real-time data set, and allocate resources to each storage node based on the resource allocation amount to build a distributed storage mechanism; Based on the distributed storage mechanism, multiple categories of IoT-based real-time geological data sets are stored in corresponding storage nodes according to data topics; Data management unit for: Performing state traversal on the real-time geological condition data based on the Internet of Things in each storage node, and generating a state curve of the real-time geological condition data based on the Internet of Things in each storage node based on the state traversal result; At the same time, the real-time data of geological conditions based on the Internet of Things in each storage node is updated based on the storage order, and the status curve is synchronously updated based on the update result; Generate a state representation diagram of the data in each storage node based on the synchronous update result, and synchronously store the state representation diagram in the storage node; Determine the space address of each storage node in the preset storage space based on the synchronization storage result, and generate a local index of each storage node based on the space address and the data subject of each storage node; Build a distributed search engine, configure the background running data of the distributed search engine based on the local index, and associate the configured distributed search engine with each storage node in the preset storage space.

[0036] In this embodiment, the management demand may be the purpose of the geological disaster early warning emergency response management and the business to be performed by the management terminal through the real-time geological condition data based on the Internet of Things.

[0037] In this embodiment, the classification standard may be specific conditions and formats for classifying real-time geological condition data based on the Internet of Things, for example, data related to vibration may be classified into one category.

[0038] In this embodiment, the deep neural network is pre-trained and used to determine the semantics of real-time data of geological conditions based on the Internet of Things.

[0039] In this embodiment, the target semantics may be specific core content corresponding to real-time geological data based on the Internet of Things.

[0040] In this embodiment, the key feature may be a data segment that can distinguish the type and meaning of the real-time geological condition data based on the Internet of Things.

[0041] In this embodiment, the decision tree is a specific scheme or strategy for classifying real-time geological condition data based on the Internet of Things.

[0042] In this embodiment, the preset storage space is known in advance and is used to store different categories of real-time geological condition data based on the Internet of Things.

[0043] In this embodiment, the storage node may be a spatial area finally determined in a preset storage space for storing each category of real-time geological condition data based on the Internet of Things.

[0044] In this embodiment, the data subject may be the type of data that can be stored corresponding to each storage node.

[0045] In this embodiment, the resource allocation amount may be the amount of system resources required during operation to determine when each storage node can effectively store real-time geological condition data based on the Internet of Things, such as the CPU allocation amount.

[0046] In this embodiment, the distributed storage mechanism may be a solution for simultaneously performing data storage management on storage nodes.

[0047] In this embodiment, the state curve may be a curve obtained by visually displaying the value change or value change trend of the real-time data of geological conditions based on the Internet of Things in each storage node.

[0048] In this embodiment, the state representation diagram can be the result obtained by synchronously updating the state curve according to the real-time state of the real-time geological condition data based on the Internet of Things in the storage node, and is a chart used to represent the state of the real-time geological condition data based on the Internet of Things.

[0049] In this embodiment, the local index may be a label that can quickly locate each storage node.

[0050] In this embodiment, the distributed search engine may be a tool for retrieving and locating real-time geological data based on the Internet of Things in different storage nodes.

[0051] The working principle and beneficial effects of the above technical solution are: by analyzing the management needs of the real-time geological data based on the Internet of Things obtained by the management terminal, the classification standards of the real-time geological data based on the Internet of Things are accurately and effectively determined. At the same time, the real-time geological data based on the Internet of Things is analyzed to accurately and effectively determine the key features of the real-time geological data based on the Internet of Things, thereby realizing accurate and reliable classification and processing of the real-time geological data based on the Internet of Things according to the classification standards and key features. Secondly, the preset storage space is divided into storage nodes, and a distributed storage mechanism is constructed according to the division results, so as to realize the classification of multiple categories based on The real-time geological data of the Internet of Things is reliably stored in the corresponding storage nodes. Finally, the status of the real-time geological data based on the Internet of Things in each storage node is traversed according to the storage results, and the status curve corresponding to the real-time geological data based on the Internet of Things is generated, so that the management terminal can accurately and effectively understand the status changes of the real-time geological data based on the Internet of Things in each storage node. At the same time, a distributed search engine is constructed and associated with each storage node, so that the management terminal can quickly and effectively locate and access the data to be retrieved when retrieving data, which provides convenience and guarantee for geological disaster warning emergency response management.

[0052] This embodiment provides a geological disaster early warning emergency response management system, the emergency management module includes: A program reading unit is used to read the geological disaster early warning emergency response management plan and determine the management steps for the geological disaster early warning emergency response management; The simulation unit is used to obtain the benchmark management result value corresponding to each management step, and at the same time, simulate the geological disaster early warning emergency response management plan in the computer to obtain the simulation result value corresponding to each management step; Computing unit for: Calculate the pass rate of the geological disaster early warning emergency response management plan based on the benchmark management result value and the simulation result value; ; in, Indicates the pass rate of geological disaster early warning emergency response management plan; Indicates the number of management steps in the geological disaster early warning emergency response management plan; Indicates the serial number value of the management step of the geological disaster early warning emergency response management plan; Indicates The benchmark management result value of each management step; Indicates The simulation result value of each management step; represents the logarithmic function with base e; represents the computer simulation impact factor, and its value range is (0.01, 0.02); Qualification determination unit, used for: Obtain the preset pass rate threshold, and make a pass determination on the geological disaster early warning emergency response management plan according to the following formula; ; in, represents the target ratio; Indicates the pass rate threshold; when When the geological disaster early warning emergency response management plan is qualified; when If the geological disaster early warning emergency response management plan is found to be unqualified; A storage unit is used to store the current geological disaster early warning emergency response management plan and the currently collected geological condition characteristic data when the geological disaster early warning emergency response management plan is determined to be qualified; The alarm unit is used to determine the wrong management steps of the geological disaster early warning emergency response management plan when it is determined that the geological disaster early warning emergency response management plan is unqualified, and send an alarm message to the user terminal.

[0053] In this embodiment, the benchmark management result value can be known in advance based on the management steps, wherein the benchmark management result value and the simulation result value are parameter values ​​obtained after the geological disaster warning emergency response management based on the geological disaster warning emergency response management plan.

[0054] In this embodiment, the computer simulation impact factor may be set in advance, and the error impact coefficient is determined after multiple simulation experiments are performed on the computer.

[0055] In this embodiment, the pass rate threshold may be set in advance and used as a criterion for measuring whether the geological disaster early warning emergency response management plan is qualified.

[0056] In this embodiment, when the geological disaster warning emergency response management plan is determined to be unqualified, the error management steps of the geological disaster warning emergency response management plan are determined. The error management value can be located according to the output error during computer simulation, and the corresponding management steps are determined as error management steps according to the positioning results.

[0057] In this embodiment, the alarm information can be an error prompt sent to the user terminal (such as a mobile phone, tablet, and computer, etc.), so that the status of the geological disaster early warning emergency response management plan can be grasped in time, thereby realizing timely adjustment.

[0058] The working principle and beneficial effects of the above technical solution are: by reading the geological disaster warning emergency response management plan, the management steps of the geological disaster warning emergency response management are effectively determined; by determining the benchmark management result value corresponding to each management step and the simulation result value corresponding to each management step when the geological disaster warning emergency response management plan is simulated in a computer, the qualified rate of the geological disaster warning emergency response management plan is effectively calculated, and the geological disaster warning emergency response management plan is effectively split, so as to achieve the detailed and accurate level of analysis of the geological disaster warning emergency response management plan, and ensure that the calculated qualified rate is more effective. By obtaining the qualified rate threshold and calculating the target ratio, the qualified judgment of the geological disaster warning emergency response management plan is effectively realized, and the timely grasp of the dynamics of the geological disaster warning emergency response management plan is further guaranteed. When the geological disaster warning emergency response management plan is unqualified, an alarm message is sent to the user terminal, which is conducive to timely grasping the status of the geological disaster warning emergency response management plan, thereby achieving timely adjustment, ensuring the effective implementation of the geological disaster warning emergency response management plan, and improving the efficiency of geological disaster warning emergency response management.

[0059] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0060] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Geological disaster early warning emergency response management system, characterized by: include: Data acquisition module, used to collect geological displacement, strain, vibration, electromagnetic, topographic, meteorological and surface water conditions based on sensors, and determine real-time geological data based on the Internet of Things; A data processing module is used to process the real-time data of geological conditions based on the Internet of Things and determine the characteristic data of geological conditions based on the Internet of Things; The risk assessment module is used to conduct risk assessment on geological condition characteristic data based on the Internet of Things and determine the results of geological disaster risk assessment; The emergency management module is used to formulate geological disaster early warning emergency response management plans and conduct early warning emergency response management for geological disasters.

2. The geological disaster early warning emergency response management system according to claim 1 is characterized in that: The data acquisition module further includes: Displacement monitoring unit, used to monitor geological displacement; Real-time monitoring of geological fractures and structural changes based on sensors, and collection of geological displacement data; Strain monitoring unit, used to monitor geological strain conditions; Real-time monitoring of geological rock strain based on sensors to collect geological strain data; Vibration monitoring unit, used to monitor geological vibrations; Real-time monitoring of geological vibration conditions based on sensors to collect geological vibration data; Electromagnetic monitoring unit, used to monitor geological electromagnetic conditions; Real-time monitoring of geological electromagnetic conditions based on sensors and collection of geological electromagnetic data; Terrain monitoring unit, used to monitor geological and topographic conditions; Real-time monitoring of geological and topographic conditions based on sensors, and collection of geological and topographic data; Meteorological monitoring unit, used to monitor geological and meteorological conditions; Real-time monitoring of geological and meteorological conditions based on sensors, and collection of geological and meteorological data; Surface water monitoring unit, used to monitor geological surface water conditions; Real-time monitoring of geological surface water conditions based on sensors, and collection of geological surface water data; Among them, real-time data of geological conditions based on the Internet of Things are determined based on geological displacement data, geological strain data, geological vibration data, geological electromagnetic data, geological topographic data, geological meteorological data and geological surface water data.

3. The geological disaster early warning emergency response management system according to claim 2 is characterized in that: The data processing module comprises: Data cleaning unit, used to clean the real-time data of geological conditions based on the Internet of Things; Obtain real-time data on geological conditions based on the Internet of Things; Clean and process the real-time geological data based on the Internet of Things, including: Conduct consistency checks on real-time data of geological conditions based on IoT; According to the data consistency requirements, check whether the real-time geological data based on the Internet of Things contains inconsistent data that is useless for geological disaster early warning emergency response management, and remove the inconsistent data in the real-time geological data based on the Internet of Things; Check invalid and missing values ​​for real-time geological data based on the Internet of Things; According to the requirements of data validity and integrity, check whether the real-time geological data based on the Internet of Things contains invalid values ​​and missing values ​​that are useless for geological disaster early warning emergency response management, and remove the invalid values ​​and missing values ​​in the real-time geological data based on the Internet of Things; Identify the real-time data of geological conditions based on IoT that are useful for geological hazard early warning and emergency response management.

4. The geological disaster early warning emergency response management system according to claim 3 is characterized in that: The data processing module further includes: A data conversion unit, used to convert the cleaned real-time data of geological conditions based on the Internet of Things; Obtain real-time data of geological conditions based on the Internet of Things that are useful for geological disaster early warning and emergency response management after cleaning; Convert and process real-time geological data based on the Internet of Things that is useful for geological disaster early warning and emergency response management; Unify the formats of real-time geological data based on the Internet of Things that are useful for geological disaster early warning and emergency response management, eliminate the dimensional differences between real-time geological data based on the Internet of Things that are useful for geological disaster early warning and emergency response management, and determine standardized real-time geological data based on the Internet of Things; A feature extraction unit, used for extracting features from the converted real-time data of geological conditions based on the Internet of Things; Obtain standardized IoT-based real-time data on geological conditions; Feature extraction of standardized IoT-based real-time geological data; Features that can reflect geological disaster warning emergency response management are extracted from standardized real-time geological condition data based on the Internet of Things, and geological condition characteristic data based on the Internet of Things are determined.

5. The geological disaster early warning emergency response management system according to claim 4 is characterized in that: The risk assessment module comprises: Standard storage unit, used to store standard data of geological conditions; According to the geological disaster early warning emergency response management needs, the geological condition standard data is pre-set and stored for backup; An index calling unit, used for indexing and calling geological condition standard data; According to the geological disaster early warning emergency response management requirements, the stored geological condition standard data is indexed and the indexed geological condition standard data is called; A risk assessment unit, used to conduct risk assessment on geological condition characteristic data based on the Internet of Things; Obtain geological condition characteristic data based on the Internet of Things; Based on the standard geological condition data, a comparative analysis is conducted on the geological condition characteristic data to assess the geological hazard risk situation and determine the geological hazard risk assessment results.

6. The geological disaster early warning emergency response management system according to claim 5 is characterized in that: Based on the geological condition standard data, the geological condition characteristic data is compared and analyzed, including: When the geological condition characteristic data is within the range of geological condition standard data, the geological disaster risk assessment result is that the geological disaster risk is low and there is no need for early warning emergency response management of geological disasters; When the geological condition characteristic data is not within the range of geological condition standard data, the geological hazard risk assessment result is that the geological hazard risk is high, and early warning emergency response management of geological hazards is required.

7. The geological disaster early warning emergency response management system according to claim 6 is characterized in that: The emergency management module comprises: The plan formulation unit is used to formulate geological disaster early warning emergency response management plans; Obtain geological hazard risk assessment results; When the risk of geological disasters is high and early warning emergency response management is needed for geological disasters, the geological condition characteristic data is analyzed to determine the reasons for the high risk of geological disasters, and based on the reasons for the high risk of geological disasters, a geological disaster early warning emergency response management plan is formulated; Emergency management unit, used for early warning emergency response management of geological disasters; Obtain geological disaster early warning emergency response management plan; Carry out early warning and emergency response management of geological disasters based on the geological disaster early warning and emergency response management plan.

8. The geological disaster early warning emergency response management system according to claim 7, characterized in that: Early warning and emergency response management for geological disasters, including: Push geological disaster risk assessment results and early warning information to management departments and personnel, conduct timely and accurate early warning responses, and remind management departments and personnel to pay attention to geological disaster risks; According to the geological disaster risk situation, formulate corresponding emergency plans, manage and update the plans to adapt to the changing geomorphic conditions and geological disaster risks; When a geological disaster occurs, various departments and rescue teams are coordinated to carry out emergency rescue work through a visual monitoring system and command and dispatch platform.

9. The geological disaster early warning emergency response management system according to claim 1, characterized in that: The data acquisition module also includes: Data classification unit for: Based on the management terminal, the management requirements for the real-time geological data based on the Internet of Things are obtained, and the management requirements are analyzed to determine the classification standards for the real-time geological data based on the Internet of Things; Analyze the real-time geological data based on the Internet of Things based on a deep neural network, obtain the target semantics of the real-time geological data based on the Internet of Things, and extract the key features of the real-time geological data based on the Internet of Things based on the target semantics; A decision tree is constructed based on the classification criteria and key features, and the real-time geological condition data based on the Internet of Things is classified and processed based on the decision tree to obtain a multi-category real-time geological condition data set based on the Internet of Things; Data storage unit for: Based on multiple categories of real-time geological data sets based on the Internet of Things, the preset storage space is divided into regions, the storage nodes corresponding to each category of real-time geological data sets based on the Internet of Things are obtained, and a data topic is allocated to each storage node; Determine the resource allocation amount for each storage node based on the number of storage nodes and the processing amount of each storage node for the corresponding category of the IoT-based geological condition real-time data set, and allocate resources to each storage node based on the resource allocation amount to build a distributed storage mechanism; Based on the distributed storage mechanism, multiple categories of IoT-based real-time geological data sets are stored in corresponding storage nodes according to data topics; Data management unit for: Performing state traversal on the real-time geological condition data based on the Internet of Things in each storage node, and generating a state curve of the real-time geological condition data based on the Internet of Things in each storage node based on the state traversal result; At the same time, the real-time data of geological conditions based on the Internet of Things in each storage node is updated based on the storage order, and the status curve is synchronously updated based on the update result; Generate a state representation diagram of the data in each storage node based on the synchronous update result, and synchronously store the state representation diagram in the storage node; Determine the space address of each storage node in the preset storage space based on the synchronization storage result, and generate a local index of each storage node based on the space address and the data subject of each storage node; Build a distributed search engine, configure the background running data of the distributed search engine based on the local index, and associate the configured distributed search engine with each storage node in the preset storage space.

10. The geological disaster early warning emergency response management system according to claim 1, characterized in that: Emergency management module, including: A program reading unit is used to read the geological disaster early warning emergency response management plan and determine the management steps for the geological disaster early warning emergency response management; The simulation unit is used to obtain the benchmark management result value corresponding to each management step, and at the same time, simulate the geological disaster early warning emergency response management plan in the computer to obtain the simulation result value corresponding to each management step; Computing unit for: Calculate the pass rate of the geological disaster early warning emergency response management plan based on the benchmark management result value and the simulation result value; ； in, Indicates the pass rate of geological disaster early warning emergency response management plan; Indicates the number of management steps in the geological disaster early warning emergency response management plan; Indicates the serial number value of the management step of the geological disaster early warning emergency response management plan; Indicates The benchmark management result value of each management step; Indicates The simulation result value of each management step; represents the logarithmic function with base e; represents the computer simulation impact factor, and its value range is (0.01, 0.02); Qualification determination unit, used for: Obtain the preset pass rate threshold, and make a pass determination on the geological disaster early warning emergency response management plan according to the following formula; ； in, represents the target ratio; Indicates the pass rate threshold; when When the geological disaster early warning emergency response management plan is qualified; when If the geological disaster early warning emergency response management plan is found to be unqualified; A storage unit is used to store the current geological disaster early warning emergency response management plan and the currently collected geological condition characteristic data when the geological disaster early warning emergency response management plan is determined to be qualified; The alarm unit is used to determine the wrong management steps of the geological disaster early warning emergency response management plan when it is determined that the geological disaster early warning emergency response management plan is unqualified, and send an alarm message to the user terminal.

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