Emergency management system based on digital resources

Abstract

The invention relates to an emergency management system based on digital resources, and relates to the technical field of information, and the emergency management system comprises a digital resource integration module which is used for collecting and arranging severe weather information of an area over the years; and the communication facility monitoring module is used for acquiring operation state information and monitoring image information of the communication facility in real time. Through the digital resource integration module, the system can automatically collect and integrate the over-the-year severe weather information of the area from the network, and perform preprocessing and summarization, so that the information integration efficiency is improved, the comprehensiveness and accuracy of the information are ensured, and the system is suitable for popularization and application. The system provides a solid data basis for subsequent risk assessment and emergency plan making, realizes efficient and comprehensive information integration and emergency response, automatically collects and integrates severe weather information, and performs real-time early warning when the risk exceeds the standard so as to reduce severe weather loss and ensure smooth communication and public safety.

Description

Technical Field

[0001] The invention relates to the field of information technology, and in particular to an emergency management system based on digital resources. Background Art

[0002] With the rapid development of information technology, the application of digital resources in emergency management is becoming more and more extensive. However, when facing emergencies such as severe weather, traditional emergency management systems often have problems such as untimely information integration, inadequate monitoring of communication facilities, inaccurate risk assessment, and slow formulation of emergency plans. These problems seriously affect the efficiency and effectiveness of emergency response and pose a potential threat to the safety of people's lives and property. Traditional systems usually rely on manual collection and collation of severe weather information, which is inefficient and easy to miss important information. In addition, the information formats of different sources are different, making it difficult to achieve effective integration and analysis. Traditional systems often lack real-time communication facility monitoring capabilities and cannot promptly detect and handle communication failures and abnormal traffic fluctuations, thus affecting the timely delivery of emergency information. In this regard, we propose an emergency management system based on digital resources. Summary of the invention

[0003] The present invention aims at the technical problems existing in the prior art and provides an emergency management system based on digital resources.

[0004] The technical solution of the present invention to solve the above technical problems is as follows: Based on a digital resource emergency management system, the emergency management system includes:

[0005] Digital resource integration module, which is used to collect and organize the severe weather information of the region over the years;

[0006] The communication facility monitoring module is used to obtain the operation status information of the communication facility and monitor the image information in real time;

[0007] A risk assessment module, the risk assessment module is electrically connected to the digital resource integration module and the communication facility monitoring module, and the risk assessment module performs risk assessment based on severe weather information of previous years, weather information of the current season, and the operating status of communication facilities;

[0008] An emergency information output module is electrically connected to the risk assessment module and is used to formulate an emergency plan based on the results of the risk assessment.

[0009] Preferably, the digital resource integration module includes:

[0010] A text information integration unit, which is used to collect text information about severe weather in the area from the network;

[0011] An image and audio information integration unit, which is used to collect image information, video information and audio information about severe weather in the area from the network and convert them into text information;

[0012] The information collection and processing unit is used to collect and pre-process the information of the text information integration unit and the image and audio information integration unit.

[0013] Preferably, the communication facility monitoring module includes:

[0014] A communication facility operation monitoring unit, which is used to monitor the real-time operation status of the communication facility;

[0015] A communication facility monitoring unit, which is used to obtain image information of communication facilities and their surroundings and monitor the communication facilities in real time;

[0016] A remote monitoring center unit is electrically connected to the communication facility operation monitoring unit and the communication facility monitoring unit, and is used to remotely monitor the operation status of the communication facilities in the area.

[0017] Preferably, the risk assessment module includes:

[0018] Data analysis and mining unit, which is used to analyze and process the information transmitted by the digital resource integration module and the communication facility monitoring module;

[0019] The risk assessment model unit is used to construct a risk assessment model based on the data analysis results to evaluate the emergency risk index of the current communication facilities in the area.

[0020] Preferably, the emergency information output module includes:

[0021] A risk assessment result receiving unit, the risk assessment result receiving unit is used to receive the output result from the risk assessment module;

[0022] The emergency plan matching and generation unit is used to automatically match the preset emergency plan template according to the received risk assessment results and adjust and improve the emergency plan content according to the actual situation;

[0023] Multi-channel output unit, the multi-channel output unit is used to output emergency plan information through multiple channels and convey it to relevant personnel and institutions.

[0024] Preferably, the data analysis and mining unit performs data analysis in the following manner:

[0025] Based on the pre-processed digital resource integration module information data, features related to the probability of occurrence of severe weather affecting communication facilities are extracted;

[0026] Define the probability of severe weather occurrence as the target variable, and define the characteristics related to the probability of severe weather occurrence that affects communication facilities as independent variables;

[0027] A prediction model is constructed based on the linear regression algorithm to fit the independent variables with the target variables. The calculation formula of the model is:

[0028] y=β0+β1x1+β2x2+…+βnxn

[0029] Where y represents the probability of occurrence of severe weather, x1, x2,…, xn represent the characteristics related to the probability of occurrence of severe weather affecting communication facilities, β0, β1,… represent model parameters;

[0030] Divide the information data into a training set and a test set, use the training set data to train the prediction model, and use the test set data to verify it;

[0031] Use the trained prediction model to predict the weather information in the area and obtain the probability of severe weather occurring.

[0032] Preferably, the method for the risk assessment model unit to assess the emergency risk index is:

[0033] Obtain historical severe weather information that affects communication facilities and the probability of occurrence, obtain weather information for the current season, and obtain information on the operating status of communication facilities;

[0034] Calculate the emergency risk index based on the acquired historical severe weather information affecting communication facilities and the probability of occurrence, the weather information of the current season and the operating status information of communication facilities;

[0035] The calculation formula of the emergency risk index is:

[0036]

[0037] In the formula, S represents the emergency risk index, n represents the total number of risk factors, Q i represents the i-th risk factor Q, W i represents the weight W of the i-th risk factor.

[0038] Preferably, the emergency plan matching and generation unit stores emergency plan templates for various severe weather and inclement weather. The content framework in the template includes the establishment of emergency command organization, responsibilities of the emergency work group, response procedures, disposal measures, post-processing and investigation and evaluation. The template is matched according to emergency risk factors, and the emergency level refers to the emergency risk index.

[0039] Preferably, the emergency plan matching and generating unit generates emergency resource allocation and scheduling instructions according to the emergency plan requirements by inputting currently available emergency resource information and combining the operation status of the communication facilities.

[0040] Preferably, when the emergency risk index exceeds a preset threshold, disaster warning information will be automatically sent to relevant personnel and institutions.

[0041] The beneficial effect of the present invention is that through the digital resource integration module, the system can automatically collect and integrate the severe weather information of the area over the years from the network, and perform preprocessing and aggregation. This method not only improves the efficiency of information integration, but also ensures the comprehensiveness and accuracy of the information, and provides a solid data foundation for subsequent risk assessment and emergency plan formulation. The communication facility monitoring module can obtain the operation status information and monitoring image information of the communication facilities in real time, and realize all-round monitoring of key facilities such as communication base stations and optical cable lines by integrating a variety of sensors and monitoring equipment. Real-time monitoring helps to timely discover and deal with communication failures and abnormal traffic fluctuations, ensure the timely transmission of emergency information and the stable operation of the communication network, and realize efficient and comprehensive information integration and emergency response. It automatically collects and integrates severe weather information, monitors the status of communication facilities in real time, accurately assesses risks based on multi-dimensional data, quickly generates and optimizes emergency plans, and immediately warns when risks exceed the standard, so as to reduce severe weather losses and ensure smooth communication and public safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is the module structure diagram of this emergency management system;

[0043] Figure 2 This is the structure diagram of the digital resource integration module;

[0044] Figure 3 This is the structure diagram of the communication facility monitoring module;

[0045] Figure 4 This is the structure diagram of the risk assessment module;

[0046] Figure 5 This is the structural diagram of the emergency information output module. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0048] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "plurality" means two or more, unless otherwise clearly and specifically defined.

[0049] In the description of the present application, the term "for example" is used to mean "used as an example, illustration or description". Any embodiment described as "for example" in the present application is not necessarily to be construed as being more preferred or advantageous than other embodiments. In order to enable any technician in the field to implement and use the present invention, the following description is given. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid unnecessary details that make the description of the present invention obscure. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present application.

[0050] The embodiment of the present application provides a digital resource-based emergency management system, the emergency management system comprising:

[0051] Digital resource integration module: The digital resource integration module is used to collect and organize the severe weather information of the region over the years, including but not limited to the historical records, impact range, losses and effectiveness feedback of response measures of various severe weather such as floods, earthquakes, typhoons and droughts;

[0052] Communication facility monitoring module: The communication facility monitoring module is used to obtain the operation status information and monitoring image information of communication facilities in real time, capture and transmit the operation status information and high-definition monitoring images of infrastructure such as communication base stations, optical cable lines, and transmission equipment in real time, and automatically identify potential problems such as communication failures and abnormal traffic fluctuations;

[0053] A risk assessment module, the risk assessment module is electrically connected to the digital resource integration module and the communication facility monitoring module, and the risk assessment module performs risk assessment based on severe weather information of previous years, weather information of the current season, and the operating status of communication facilities;

[0054] The emergency information output module is electrically connected to the risk assessment module. The emergency information output module is used to formulate emergency plans based on the results of risk assessment. The module also provides an emergency drill function. By simulating the emergency response process in real scenarios, the effectiveness and operability of the plan are tested, providing a basis for continuous improvement and optimization of the emergency management system.

[0055] Furthermore, the digital resource integration module includes:

[0056] Text information integration unit: The text information integration unit is used to collect text information about severe weather in the area from the Internet. The information includes severe weather type, occurrence time, location, impact range, casualties, rescue progress, etc. The unit also has intelligent screening and deduplication functions, which can automatically filter out duplicate or irrelevant information to ensure the quality and accuracy of the collected data. In order to improve the efficiency of information processing, the unit also integrates natural language processing technology to perform pre-processing work such as word segmentation, part-of-speech tagging, and named entity recognition on the collected text, laying the foundation for subsequent data analysis and risk assessment;

[0057] An image and audio information integration unit is used to collect image information, video information and audio information about severe weather in the area from the network, and convert them into text information using image recognition, voice recognition and conversion technology;

[0058] The information collection and processing unit is used to collect and pre-process the information of the text information integration unit and the image and audio information integration unit. The unit adopts a high-performance data storage system to ensure the safe storage and fast access of massive data.

[0059] Furthermore, the communication facility monitoring module includes:

[0060] Communication facility operation monitoring unit, which is used to monitor the real-time operation status of communication facilities. The unit integrates a variety of sensors and monitoring equipment, including current sensors, voltage monitors, temperature detectors, and signal strength meters, to achieve real-time operation status monitoring of key communication facilities such as communication base stations, optical cable lines, switches, and routers. These sensors can continuously collect the operation parameters of the facilities, current and voltage stability, equipment temperature, signal transmission quality, etc., and transmit the data in real time to the data processing center for analysis. The unit also has an abnormality detection function, which can automatically identify and report any operation status that deviates from the normal range so that timely measures can be taken;

[0061] The communication facility monitoring unit is used to obtain image information of communication facilities and their surroundings, monitor communication facilities in real time, and deploy high-definition cameras to cover key areas of communication facilities and important locations around them. It can capture and transmit image information around the clock, including the appearance of facilities, surrounding environment, and personnel activities. It supports video playback and remote viewing functions, providing strong support for accident investigation and emergency response.

[0062] A remote monitoring center unit is electrically connected to the communication facility operation monitoring unit and the communication facility monitoring unit. The remote monitoring center unit is used to remotely monitor the operation status of the communication facilities in the area. The remote monitoring center unit adopts visualization technology to intuitively display the collected data and information in the form of charts, maps, videos, etc. on the monitoring screen. The monitoring personnel can view the operation status and monitoring screen of the communication facilities in real time through the center unit to quickly understand the health status of the communication network in the area.

[0063] Furthermore, the risk assessment module includes:

[0064] Data analysis and mining unit: The data analysis and mining unit is used to analyze and process the information transmitted by the digital resource integration module and the communication facility monitoring module, build a prediction model through an algorithm, and predict severe weather by combining the historical severe weather data of the area and the weather information of the current season;

[0065] The risk assessment model unit is used to construct a risk assessment model based on the data analysis results, evaluate the emergency risk index of the current communication facilities in the area, and design a risk assessment indicator system based on the knowledge and experience of experts in the field, combined with historical severe weather cases and communication facility failure data. The risk index is usually expressed in numerical form, reflecting the vulnerability and potential losses of communication facilities when facing emergencies such as severe weather.

[0066] Furthermore, the emergency information output module includes:

[0067] The risk assessment result receiving unit is a bridge between the emergency information output module and the risk assessment module. The risk assessment result receiving unit is used to receive the output results from the risk assessment module. The unit has a high degree of real-time and accuracy, and can ensure that after the risk assessment model completes the calculation and generates the results, it will be captured and transmitted to the subsequent processing link as soon as possible;

[0068] The emergency plan matching and generation unit is used to automatically match the preset emergency plan template according to the received risk assessment results and adjust and improve the emergency plan content according to the actual situation. In the process of emergency plan matching, the unit will first search and match in the preset emergency plan template library according to the key indicators in the risk assessment results. After finding the plan template that best suits the current situation, the unit will use it as the basic framework and further adjust and improve it according to the actual situation;

[0069] Multi-channel output unit: The multi-channel output unit is used to output emergency plan information through multiple channels and convey it to relevant personnel and institutions. The multi-channel output unit will select appropriate output channels and methods based on the different characteristics and needs of the recipients.

[0070] Furthermore, the data analysis and mining unit performs data analysis in the following manner:

[0071] Based on the pre-processed digital resource integration module information data, features related to the probability of occurrence of severe weather affecting communication facilities are extracted;

[0072] Specific methods for feature extraction include, but are not limited to, for text information, using natural language processing technology to perform word segmentation, part-of-speech tagging, named entity recognition, etc., to extract keywords and phrases related to the type, time, location, historical records, etc. of severe weather; for picture and video information, using image recognition technology to extract features of the severe weather scene, such as flood water level, fire size, degree of building damage, etc. These features can often indirectly reflect the impact of severe weather on communication facilities; for time series data, time series analysis methods are used to identify the periodicity and seasonality of severe weather, as well as changes in the vulnerability of communication facilities in different time periods.

[0073] Define the probability of severe weather occurrence as the target variable, and define the characteristics related to the probability of severe weather occurrence that affects communication facilities as independent variables;

[0074] A prediction model is constructed based on the linear regression algorithm to fit the independent variables with the target variables. The calculation formula of the model is:

[0075] y=β0+β1x1+β2x2+…+βnxn

[0076] Where y represents the probability of occurrence of severe weather, x1, x2,…, xn represent the characteristics related to the probability of occurrence of severe weather affecting communication facilities, β0, β1,… represent model parameters;

[0077] Divide the information data into a training set and a test set, use the training set data to train the prediction model, and use the test set data to verify it;

[0078] Use the trained prediction model to predict the weather information in the area and obtain the probability of severe weather occurring.

[0079] Furthermore, the method for the risk assessment model unit to assess the emergency risk index is:

[0080] Obtain historical severe weather information that affects communication facilities and the probability of occurrence, obtain weather information for the current season, and obtain information on the operating status of communication facilities;

[0081] Calculate the emergency risk index based on the acquired historical severe weather information affecting communication facilities and the probability of occurrence, the weather information of the current season and the operating status information of communication facilities;

[0082] The calculation formula of the emergency risk index is:

[0083]

[0084] In the formula, S represents the emergency risk index, n represents the total number of risk factors, Q i represents the i-th risk factor Q, W i represents the weight W of the i-th risk factor.

[0085] Furthermore, the emergency plan matching and generation unit stores emergency plan templates for various severe weather and bad weather. The content framework in the template includes the setting of emergency command organization, responsibilities of emergency working group, response procedures, disposal measures, post-processing and investigation and evaluation. The template is matched according to emergency risk factors, and the emergency level refers to the emergency risk index. The links involved include:

[0086] Risk identification and assessment: receive the emergency risk index and risk assessment report output by the risk assessment module in real time, analyze the risk type, impact scope, severity and other information in the report, and determine potential emergency needs;

[0087] Template screening and matching: based on risk type and emergency needs, select qualified emergency plan templates in the emergency plan template library, and prioritize and further match the selected templates considering the emergency level and actual situation;

[0088] Plan adjustment and generation: make necessary adjustments and improvements to the selected plan template to adapt to the current emergency situation. According to the actual situation, add or delete parts, adjust the response procedures and disposal measures, and finally generate an emergency plan that meets the current emergency needs for relevant personnel to implement.

[0089] Furthermore, the emergency plan matching and generation unit generates emergency resource allocation and dispatching instructions based on the emergency plan requirements by inputting the currently available emergency resource information, including human, material, financial and information technology resources, and performing a detailed status assessment of each resource, including quantity, location and integrity, combined with the operating status of communication facilities;

[0090] Furthermore, when the emergency risk index exceeds the preset threshold, disaster warning information will be automatically sent to relevant personnel and institutions;

[0091] During the emergency plan formulation stage, the expert team will set the warning threshold of the emergency risk index after comprehensive assessment based on historical data, severe weather characteristics, the importance and vulnerability of communication facilities and other factors. This threshold is intended to balance the risks of false alarms and missed alarms, ensuring that warnings are issued when they are really needed, while avoiding unnecessary panic and waste of resources. In addition, the warning threshold will be dynamically adjusted as needed with technological advances, environmental changes, and updates to the status of communication facilities. The system will regularly evaluate and optimize the threshold settings to ensure that they are always highly consistent with actual conditions.

[0092] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0093] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0094] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. Based on digital resource emergency management system, it is characterized by: The emergency management system includes: Digital resource integration module, which is used to collect and organize the severe weather information of the region over the years; The communication facility monitoring module is used to obtain the operation status information of the communication facility and monitor the image information in real time; A risk assessment module, the risk assessment module is electrically connected to the digital resource integration module and the communication facility monitoring module, and the risk assessment module performs risk assessment based on severe weather information of previous years, weather information of the current season, and the operating status of communication facilities; An emergency information output module is electrically connected to the risk assessment module and is used to formulate an emergency plan based on the results of the risk assessment.

2. The digital resource-based emergency management system according to claim 1, characterized in that: The digital resource integration module includes: A text information integration unit, which is used to collect text information about severe weather in the area from the network; An image and audio information integration unit, which is used to collect image information, video information and audio information about severe weather in the area from the network and convert them into text information; The information collection and processing unit is used to collect and pre-process the information of the text information integration unit and the image and audio information integration unit.

3. The digital resource-based emergency management system according to claim 1, characterized in that: The communication facility monitoring module includes: A communication facility operation monitoring unit, which is used to monitor the real-time operation status of the communication facility; A communication facility monitoring unit, which is used to obtain image information of communication facilities and their surroundings and monitor the communication facilities in real time; A remote monitoring center unit is electrically connected to the communication facility operation monitoring unit and the communication facility monitoring unit, and is used to remotely monitor the operation status of the communication facilities in the area.

4. The digital resource-based emergency management system according to claim 1, characterized in that: The risk assessment modules include: Data analysis and mining unit, which is used to analyze and process the information transmitted by the digital resource integration module and the communication facility monitoring module; The risk assessment model unit is used to construct a risk assessment model based on the data analysis results to evaluate the emergency risk index of the current communication facilities in the area.

5. The digital resource-based emergency management system according to claim 1, characterized in that: The emergency information output module includes: A risk assessment result receiving unit, the risk assessment result receiving unit is used to receive the output result from the risk assessment module; The emergency plan matching and generation unit is used to automatically match the preset emergency plan template according to the received risk assessment results and adjust and improve the emergency plan content according to the actual situation; Multi-channel output unit, the multi-channel output unit is used to output emergency plan information through multiple channels and convey it to relevant personnel and institutions.

6. The digital resource-based emergency management system according to claim 4, characterized in that: The data analysis and mining unit performs data analysis in the following ways: Based on the pre-processed digital resource integration module information data, features related to the probability of occurrence of severe weather affecting communication facilities are extracted; Define the probability of severe weather occurrence as the target variable, and define the characteristics related to the probability of severe weather occurrence that affects communication facilities as independent variables; A prediction model is constructed based on the linear regression algorithm to fit the independent variables with the target variables. The calculation formula of the model is: y=β0+β1x1+β2x2+…+βnxn Where y represents the probability of occurrence of severe weather, x1, x2,…, xn represent the characteristics related to the probability of occurrence of severe weather affecting communication facilities, β0, β1,… represent model parameters; Divide the information data into a training set and a test set, use the training set data to train the prediction model, and use the test set data to verify it; Use the trained prediction model to predict the weather information in the area and obtain the probability of severe weather occurring.

7. The digital resource-based emergency management system according to claim 4, characterized in that: The method for the risk assessment model unit to assess the emergency risk index is: Obtain historical severe weather information that affects communication facilities and the probability of occurrence, obtain weather information for the current season, and obtain information on the operating status of communication facilities; Calculate the emergency risk index based on the acquired historical severe weather information affecting communication facilities and the probability of occurrence, the weather information of the current season and the operating status information of communication facilities; The calculation formula of the emergency risk index is: In the formula, S represents the emergency risk index, n represents the total number of risk factors, Q i represents the i-th risk factor Q, W i represents the weight W of the i-th risk factor.

8. The digital resource-based emergency management system according to claim 5, characterized in that: The emergency plan matching and generation unit stores emergency plan templates for various severe and adverse weather conditions. The content framework of the template includes the establishment of emergency command organization, responsibilities of the emergency work group, response procedures, disposal measures, post-processing and investigation and evaluation. The template is matched according to emergency risk factors, and the emergency level refers to the emergency risk index.

9. The digital resource-based emergency management system according to claim 1, characterized in that: The emergency plan matching and generation unit generates emergency resource allocation and scheduling instructions based on the emergency plan requirements by inputting the currently available emergency resource information and combining the operating status of the communication facilities.

10. The digital resource-based emergency management system according to claim 1, characterized in that: When the emergency risk index exceeds the preset threshold, disaster warning information will be automatically sent to relevant personnel and institutions.

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