Dynamic emergency response repair system

Abstract

The invention discloses a dynamic emergency response repair system, which comprises a data acquisition monitoring unit, a data transmission unit, a data analysis processing unit, a dynamic scheduling unit and a data release unit, the data acquisition and monitoring unit acquires data of an affected area in real time, the data transmission unit transmits the data acquired by the data acquisition and monitoring unit to the data analysis and processing unit, and the dynamic scheduling unit selects a matched scheduling scheme according to a result of the data analysis and processing unit. The data publishing unit carries out real-time publishing on the condition of the affected area; the dynamic scheduling unit of the first-aid repair system reasonably utilizes the existing effective resources according to the feedback condition, and the data publishing unit publishes the condition of the affected area in real time, so that the first-aid repair work is quickly and efficiently completed.

Description

Technical Field

[0001] The invention relates to the technical field of emergency repair, and in particular to a dynamic emergency response repair system. Background Art

[0002] Natural disasters such as earthquakes, floods, and typhoons often result in casualties and property losses. Emergency repair work is crucial to quickly restore social order. Effective information updating and resource allocation can significantly improve the efficiency of emergency response and ensure the smooth completion of emergency repair tasks. Therefore, building a set of technical solutions that can update disaster impact information and emergency repair progress in real time to optimize emergency response strategies is a necessary condition for achieving rapid and efficient emergency repairs.

[0003] At present, there is no matching information update and resource allocation system to achieve efficient and effective emergency response when dealing with natural disasters. At the same time, due to the differences in disaster situations in different areas of the disaster area, if the allocation of personnel, materials and equipment is carried out according to conventional ideas, it will lead to uneven resource allocation and inefficient use of limited resources. Summary of the invention

[0004] In order to overcome the above problems, the purpose of the present invention is to provide a dynamic emergency response repair system, which includes a data acquisition and monitoring unit, a data transmission unit, a data analysis and processing unit, a dynamic scheduling unit, and a data publishing unit. The data acquisition and monitoring unit monitors the actual situation of the disaster area in real time, and transmits the data to the data analysis and processing unit through the data transmission unit. The dynamic scheduling unit selects a matching scheduling plan according to the result of the data analysis and processing unit. At the same time, the dynamic scheduling unit reasonably utilizes the existing effective resources according to the feedback. The data publishing unit publishes the situation of the disaster-stricken area in real time to achieve rapid and efficient completion of the repair work.

[0005] The technical solution adopted by the present invention is:

[0006] A dynamic emergency response repair system, comprising a data acquisition and monitoring unit, a data transmission unit, a data analysis and processing unit, a dynamic scheduling unit, and a data publishing unit;

[0007] The data acquisition and monitoring unit acquires data of the disaster-stricken area in real time, transmits the data acquired by the data acquisition and monitoring unit to the data analysis and processing unit through the data transmission unit, the dynamic scheduling unit selects a matching scheduling scheme according to the result of the data analysis and processing unit, and the data publishing unit publishes the situation of the disaster-stricken area in real time;

[0008] The scheduling process of the dynamic scheduling unit is as follows:

[0009] Step 1: Determine the priority of emergency repairs in the disaster-stricken area and use risk factors to represent them in the system;

[0010] Step 2: Match personnel, materials and equipment according to the priority of emergency repair;

[0011] Step 3: Determine whether the emergency repair plan currently in use meets the emergency repair needs based on the real-time data from the data acquisition and monitoring unit.

[0012] As a further description of the present invention, the data acquisition and monitoring units are installed in disaster-affected areas and important traffic areas, including sensor networks and drone networks;

[0013] The sensor network is composed of multiple types of sensors to obtain meteorological data and disaster characteristic data in the area in real time;

[0014] The drone network uses drones to patrol and obtain high-resolution image data.

[0015] As a further description of the present invention, the sensor network includes meteorological sensors, seismic sensors, and water level monitors.

[0016] As a further description of the present invention, the first step of the emergency repair priority determination method in the scheduling process of the dynamic scheduling unit is: the location where important infrastructure is distributed is the first-level emergency repair area, the area where personnel gather is the second-level emergency repair area, and the area where personnel are dispersed is the third-level emergency repair area;

[0017] The second step is to match the priority of emergency repair with personnel, materials and equipment as follows: the first-level emergency repair area is given priority in allocating personnel, materials and equipment, the second-level emergency repair area is second, and the third-level emergency repair area is last.

[0018] As a further description of the present invention, the data acquisition and monitoring unit also includes a real-time feedback module and an information integration module.

[0019] The real-time feedback module is a channel for the public to provide feedback on the on-site situation, using hotlines and public account messages to encourage residents to report post-disaster situations;

[0020] The information integration module integrates the data of the sensor network, the drone network and the real-time feedback module, and at the same time connects to the information sharing platform established by the Meteorological Bureau, the Earthquake Bureau and the Environmental Monitoring Center, and combines historical data to ensure the accuracy and comprehensiveness of the data.

[0021] As a further description of the present invention, the data transmission module adopts 4G / 5G network technology to ensure that the collected data from the relevant equipment of the data acquisition and monitoring unit is transmitted to the command center in real time, thereby ensuring the timeliness of information updating.

[0022] As a further description of the present invention, the data analysis and processing unit uses big data technology to process real-time data, extract useful key feature information, and ensure that the information is quickly identified and can be used for trend analysis.

[0023] As a further description of the present invention, the data publishing unit publishes disaster area information, emergency repair progress, and resource allocation in real time, and pushes information using WeChat public accounts, text messages, and official websites.

[0024] As a further description of the present invention, the big data technology processing process includes data preprocessing, data analysis, model building, and pattern evaluation.

[0025] The data preprocessing includes data cleaning, data integration, data reduction and data transformation. The data cleaning removes noise and inconsistent data, the data integration merges data from different sources, and the data reduction and transformation are to reduce the amount of data while retaining its essential characteristics.

[0026] The data analysis is to conduct exploratory analysis on the data, understand the structure and pattern of the data, and use statistical methods and visualization tools to find trends and anomalies in the data, which can be done by drawing scatter plots and histograms;

[0027] The model building uses algorithms and models to extract information from data;

[0028] The pattern evaluation is to verify the correctness of the data mining results.

[0029] As a further description of the present invention, the data cleaning includes deleting duplicate data, processing missing values, and correcting erroneous data.

[0030] Deletion of duplicate data refers to identifying and deleting duplicate records in a data set to avoid deviations during analysis.

[0031] The missing value processing is to fill the missing data using the mean, median or mode, or to infer according to business logic;

[0032] The correction of erroneous data is to correct errors and inconsistencies in the data, which is achieved through data verification and rule definition.

[0033] Beneficial effects of the present invention:

[0034] The present invention provides a dynamic emergency response repair system, comprising a data acquisition and monitoring unit, a data transmission unit, a data analysis and processing unit, a dynamic scheduling unit, and a data publishing unit. The data acquisition and monitoring unit monitors the actual situation of the disaster area in real time, transmits the data to the data analysis and processing unit through the data transmission unit, the dynamic scheduling unit selects a matching scheduling scheme according to the result of the data analysis and processing unit, and the dynamic scheduling unit reasonably uses the existing effective resources according to the feedback situation. The data publishing unit publishes the situation of the disaster area in real time, so as to realize the rapid and efficient completion of the repair work.

[0035] The present invention provides a dynamic emergency response and repair system, wherein the data acquisition and monitoring unit is installed in the disaster-stricken area and the important traffic area, and comprises a sensor network, an unmanned aerial vehicle network, a real-time feedback module, and an information integration module. A reliable data collection framework is established through the sensor network, the unmanned aerial vehicle network, and the real-time feedback module to ensure the real-time update of disaster information and repair status, while ensuring the accuracy of the information, and providing strong support for decision-making.

[0036] The present invention provides a dynamic emergency response repair system. The dynamic scheduling unit adopts priority as the scheduling standard, and at the same time judges whether the currently invested repair plan meets the repair demand according to the real-time data of the data acquisition and monitoring unit, further optimizes the repair plan, improves the repair efficiency, ensures the completion of the task, ensures that the repair task is successfully completed according to the established time node, and reduces losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is an overall structural diagram of a dynamic emergency response repair system proposed by the present invention;

[0038] Figure 2 The present invention provides a scheduling flow chart of a dynamic scheduling unit of a dynamic emergency response repair system. DETAILED DESCRIPTION

[0039] The specific implementation of the present invention is described below in conjunction with the accompanying drawings and embodiments:

[0040] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the conditions under which the present invention can be implemented. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0041] At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" cited in this specification are only for the convenience of description and are not used to limit the scope of implementation of the present invention. Changes or adjustments to their relative relationships should be regarded as the scope of implementation of the present invention without substantially changing the technical content.

[0042] like Figure 1-2 As shown, it shows a specific embodiment of the present invention:

[0043] Example

[0044] The present invention discloses a dynamic emergency response repair system, comprising a data acquisition and monitoring unit, a data transmission unit, a data analysis and processing unit, a dynamic scheduling unit, and a data publishing unit;

[0045] The data acquisition and monitoring unit acquires data of the disaster-stricken area in real time, transmits the data acquired by the data acquisition and monitoring unit to the data analysis and processing unit through the data transmission unit, the dynamic scheduling unit selects a matching scheduling scheme according to the result of the data analysis and processing unit, and the data publishing unit publishes the situation of the disaster-stricken area in real time;

[0046] In this embodiment, Figure 1 As shown, the data acquisition and monitoring unit of the dynamic emergency repair system monitors the actual situation of the disaster area in real time to ensure the real-time update of the disaster area data, which is convenient for allocating resources in turn as a basis for judgment. The data acquisition and monitoring unit establishes efficient data collection to ensure the real-time update of disaster impact information and repair progress.

[0047] The data collected by the data collection unit is transmitted to the data analysis and processing unit through the data transmission unit to ensure timely data update.

[0048] The dynamic scheduling unit selects a matching scheduling plan according to the results of the data analysis and processing unit to achieve targeted emergency response in different disaster-stricken areas and different situations. At the same time, the dynamic scheduling unit rationally utilizes existing effective resources according to feedback, dynamically adjusts the configuration of emergency repair resources, and maximizes the utilization of existing resources.

[0049] The data release unit releases the situation in the disaster-stricken area in real time to achieve rapid and efficient completion of emergency repair work. The data release unit uses a special information release platform to update and release disaster information, emergency repair progress and resource allocation in real time, and pushes information through official websites, WeChat public accounts, text messages and other channels to ensure that the information covers all relevant parties.

[0050] The scheduling process of the dynamic scheduling unit is as follows:

[0051] Step 1: Determine the priority of emergency repairs in the disaster-stricken area and use risk factors to represent them in the system;

[0052] Step 2: Match personnel, materials and equipment according to the priority of emergency repair;

[0053] Step 3: Determine whether the emergency repair plan currently in use meets the emergency repair needs based on the real-time data from the data acquisition and monitoring unit.

[0054] Specifically, the first step of the emergency repair priority determination method in the scheduling process of the dynamic scheduling unit is: the location where important infrastructure is distributed is the first-level emergency repair area, the area where personnel gather is the second-level emergency repair area, and the area where personnel are dispersed is the third-level emergency repair area;

[0055] The second step is to match the priority of emergency repair with personnel, materials and equipment as follows: the first-level emergency repair area is given priority in allocating personnel, materials and equipment, the second-level emergency repair area is second, and the third-level emergency repair area is last.

[0056] In this embodiment, Figure 2 As shown, the emergency repair priority of the dynamic dispatching unit is determined according to the distribution of important facilities in the disaster-stricken area. For example, the hospital in the disaster-stricken area is an important area for treating the wounded in the disaster area, the substation is an electric energy transmission unit, and the transportation hub is an important channel for the entry and exit of rescue materials and personnel. The normal operation of these areas is very important for the disaster area and has the highest priority. Personnel, materials and equipment should be allocated first. The population density in the area where people gather is large, and there will be more trapped people. Under the condition of ensuring normal operation, the area where people gather is used as the second-level emergency repair area, which can ensure the smooth operation of the trapped people and get effective rescue. The area where people are dispersed is used as the third-level emergency repair area, and a certain number of personnel are allocated to carry out rescue work, which can not only ensure that the people to be rescued are effectively rescued, but also avoid the waste caused by excessive investment of resources.

[0057] In this embodiment, the third step in the specific dynamic scheduling process determines whether the current emergency repair plan meets the emergency repair needs based on the real-time data of the data acquisition and monitoring unit, and adjusts and optimizes the emergency repair plan in a timely manner according to the feedback of real-time information to ensure efficient and flexible resource allocation, improve emergency repair efficiency, and ensure task completion.

[0058] Specifically, the data acquisition and monitoring units are installed in disaster-affected areas and important traffic areas, including sensor networks and drone networks;

[0059] The sensor network is composed of multiple types of sensors to obtain meteorological data and disaster characteristic data in the area in real time;

[0060] The drone network uses drones to patrol and obtain high-resolution image data.

[0061] Specifically, the sensor network includes meteorological sensors, seismic sensors, and water level monitors.

[0062] In this embodiment, the sensor network is composed of multiple types of sensors, which can collect specific parameters of the disaster-stricken area in real time, select the influence of severe weather that has a greater impact on the disaster situation in the disaster-stricken area, and use meteorological sensors to obtain data information such as wind speed and precipitation. The real-time data is integrated with the parameters of the Meteorological Bureau and combined with historical data to judge the meteorological trend, and take corresponding measures to ensure the smooth implementation of emergency repair work;

[0063] Use seismic sensors to monitor aftershocks in earthquake-affected areas, actively respond to aftershocks, and ensure that emergency rescue operations are completed smoothly;

[0064] Use water level monitors to monitor water levels in key areas to avoid flood disasters caused by rapid water level rises. When water levels are found to be rising too quickly, take timely measures and notify relevant personnel to evacuate.

[0065] Specifically, the data acquisition and monitoring unit also includes a real-time feedback module and an information integration module.

[0066] The real-time feedback module is a channel for the public to provide feedback on the on-site situation, using hotlines and public account messages to encourage residents to report post-disaster situations;

[0067] The information integration module integrates the data of the sensor network, the drone network and the real-time feedback module, and at the same time connects to the information sharing platform established by the Meteorological Bureau, the Earthquake Bureau and the Environmental Monitoring Center, and combines historical data to ensure the accuracy and comprehensiveness of the data.

[0068] In this embodiment, a reliable data collection framework is established through sensor networks, drone networks, and real-time feedback modules to ensure real-time updates of disaster information and emergency repair situations, while ensuring the accuracy of the information, providing strong support for decision-making.

[0069] In this embodiment, the sensor network collects relevant parameter information, and the drone network collects image information of the disaster-stricken area. The parameter information is combined with the image information to accurately determine the specific conditions of the disaster-stricken area. The specific conditions of the real-time feedback module are inspected and analyzed to further ensure the accuracy of the information and provide a basis for the allocation of emergency repair resources.

[0070] Specifically, the data transmission module adopts 4G / 5G network technology to ensure that the collected data from the relevant equipment of the data collection and monitoring unit is transmitted to the command center in real time, ensuring the timeliness of information updating.

[0071] In this embodiment, the data transmission module is used for data transmission, providing a strong transmission channel for the normal operation of the system, and adopts 4G / 5G network technology for transmission. Due to its wide distribution range and high transmission efficiency, it can meet the data transmission needs of almost all disaster-stricken areas. At the same time, it is low-cost and suitable for data transmission in disaster-stricken areas.

[0072] Specifically, the data analysis and processing unit uses big data technology to process real-time data, extract useful key feature information, and ensure that the information is quickly identified and can be used for trend analysis.

[0073] Specifically, the big data technology processing process includes data preprocessing, data analysis, model building, and model evaluation.

[0074] In this embodiment, the data analysis and processing unit processes the collected data information using four steps: data preprocessing, data analysis, model building, and pattern evaluation.

[0075] The data preprocessing includes data cleaning, data integration, data reduction and data transformation. The data cleaning removes noise and inconsistent data, the data integration merges data from different sources, and the data reduction and transformation are to reduce the amount of data while retaining its essential characteristics.

[0076] In this embodiment, this step combines different types of data to ensure data integrity and retain key feature information for trend prediction.

[0077] The data analysis is to conduct exploratory analysis on the data, understand the structure and pattern of the data, and use statistical methods and visualization tools to find trends and anomalies in the data, which can be done by drawing scatter plots and histograms;

[0078] In this embodiment, by performing data analysis through statistical methods and visualization tools, the development trend of the data can be intuitively seen, and certain judgments can be made on the future situation of the area where emergency repairs are being carried out. When unsatisfactory situations are found, the emergency repair plan can be adjusted in time to ensure the smooth progress of the emergency repair work and the high-quality completion of the emergency repair task.

[0079] The model building uses algorithms and models to extract information from data;

[0080] In this embodiment, an existing algorithm model is used to extract relevant information.

[0081] The pattern evaluation is to verify the correctness of the data mining results.

[0082] In this embodiment, the final result of the data processing is verified through the pattern evaluation step to ensure accuracy.

[0083] Specifically, the data cleaning includes deleting duplicate data, processing missing values, and correcting erroneous data.

[0084] Deletion of duplicate data refers to identifying and deleting duplicate records in a data set to avoid deviations during analysis.

[0085] The missing value processing is to fill the missing data using the mean, median or mode, or to infer according to business logic;

[0086] The correction of erroneous data is to correct errors and inconsistencies in the data, which is achieved through data verification and rule definition.

[0087] In this embodiment, due to objective problems in the data collection process, data duplication, accuracy, and errors may occur. For specific erroneous data, corresponding data cleaning methods are used to process them, so that the integrity of the entire data is retained, which is also convenient for subsequent processing.

[0088] Specifically, the data publishing unit publishes disaster area information, emergency repair progress, and resource allocation in real time, and pushes information through WeChat public accounts, text messages, and official websites.

[0089] In general, the dynamic emergency response repair system transmits data to the data analysis and processing unit through the data transmission unit. The dynamic scheduling unit selects a matching scheduling plan based on the results of the data analysis and processing unit. At the same time, the dynamic scheduling unit reasonably uses the existing effective resources based on the feedback. The data publishing unit publishes the situation of the disaster-stricken area in real time to achieve rapid and efficient completion of the repair work. A reliable data collection framework is established through the sensor network, drone network, and real-time feedback module to ensure the real-time update of disaster information and repair conditions, while ensuring the accuracy of information, providing strong support for decision-making. The dynamic scheduling unit uses priority as the scheduling standard, and at the same time determines whether the currently invested repair plan meets the repair needs based on the real-time data of the data acquisition and monitoring unit, further optimizes the repair plan, improves the repair efficiency, ensures the completion of the task, and ensures that the repair task is successfully completed according to the established time node to reduce losses.

[0090] The preferred embodiments of the present invention are described in detail above in conjunction with the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of ordinary technicians in this field without departing from the purpose of the present invention.

[0091] Many other changes and modifications may be made without departing from the concept and scope of the present invention.It should be understood that the present invention is not limited to the specific embodiments, and the scope of the present invention is defined by the appended claims.

Claims

1. A dynamic emergency response repair system, characterized in that: It includes data collection and monitoring unit, data transmission unit, data analysis and processing unit, dynamic scheduling unit and data publishing unit; The data acquisition and monitoring unit acquires data of the disaster-stricken area in real time, transmits the data acquired by the data acquisition and monitoring unit to the data analysis and processing unit through the data transmission unit, the dynamic scheduling unit selects a matching scheduling scheme according to the result of the data analysis and processing unit, and the data publishing unit publishes the situation of the disaster-stricken area in real time; The scheduling process of the dynamic scheduling unit is as follows: Step 1: Determine the priority of emergency repairs in the disaster-stricken area and use risk factors to represent them in the system; Step 2: Match personnel, materials and equipment according to the priority of emergency repair; Step 3: Determine whether the emergency repair plan currently in use meets the emergency repair needs based on the real-time data from the data acquisition and monitoring unit.

2. A dynamic emergency response repair system according to claim 1, characterized in that: The data acquisition and monitoring units are installed in disaster-affected areas and important traffic areas, including sensor networks and drone networks; The sensor network is composed of multiple types of sensors to obtain meteorological data and disaster characteristic data in the area in real time; The drone network uses drones to patrol and obtain high-resolution image data.

3. A dynamic emergency response repair system according to claim 2, characterized in that: The sensor network includes meteorological sensors, seismic sensors, and water level monitors.

4. A dynamic emergency response repair system according to claim 1, characterized in that: The first step of the emergency repair priority determination method in the dispatching process of the dynamic dispatching unit is: the location where important infrastructure is distributed is the first-level emergency repair area, the area where personnel gather is the second-level emergency repair area, and the area where personnel are dispersed is the third-level emergency repair area; The second step is to match the priority of emergency repair with personnel, materials and equipment as follows: the first-level emergency repair area is given priority in allocating personnel, materials and equipment, the second-level emergency repair area is second, and the third-level emergency repair area is last.

5. A dynamic emergency response repair system according to claim 2, characterized in that: The data acquisition and monitoring unit also includes a real-time feedback module and an information integration module. The real-time feedback module is a channel for the public to provide feedback on the on-site situation, using hotlines and public account messages to encourage residents to report post-disaster situations; The information integration module integrates the data of the sensor network, the drone network and the real-time feedback module, and at the same time connects to the information sharing platform established by the Meteorological Bureau, the Earthquake Bureau and the Environmental Monitoring Center, and combines historical data to ensure the accuracy and comprehensiveness of the data.

6. A dynamic emergency response repair system according to claim 1, characterized in that: The data transmission module adopts 4G / 5G network technology to ensure that the collected data from the relevant equipment of the data acquisition and monitoring unit is transmitted to the command center in real time, ensuring the timeliness of information updating.

7. A dynamic emergency response repair system according to claim 1, characterized in that: The data analysis and processing unit uses big data technology to process real-time data and extract useful key feature information to ensure that the information is quickly identified and can be used for trend analysis.

8. A dynamic emergency response repair system according to claim 1, characterized in that: The data publishing unit publishes disaster area information, emergency repair progress, and resource allocation in real time, and pushes information using WeChat public accounts, text messages, and official websites.

9. A dynamic emergency response repair system according to claim 7, characterized in that: The big data technology processing process includes data preprocessing, data analysis, model building, and model evaluation. The data preprocessing includes data cleaning, data integration, data reduction and data transformation. The data cleaning removes noise and inconsistent data, the data integration merges data from different sources, and the data reduction and transformation are to reduce the amount of data while retaining its essential characteristics. The data analysis is to conduct exploratory analysis on the data, understand the structure and pattern of the data, and use statistical methods and visualization tools to find trends and anomalies in the data, which can be done by drawing scatter plots and histograms; The model building uses algorithms and models to extract information from data; The pattern evaluation is to verify the correctness of the data mining results.

10. A dynamic emergency response repair system according to claim 9, characterized in that: The data cleaning includes deleting duplicate data, processing missing values, and correcting erroneous data. Deletion of duplicate data refers to identifying and deleting duplicate records in a data set to avoid deviations during analysis. The missing value processing is to fill the missing data using the mean, median or mode, or to infer according to business logic; The correction of erroneous data is to correct errors and inconsistencies in the data, which is achieved through data verification and rule definition.

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