County fire fighting and safety production evaluation system based on big data and simulation technology

Abstract

The invention provides a county fire control and safety production evaluation system based on big data and simulation technology. The system comprises a data collection and preprocessing module, a virtual environment construction module, an analogue simulation module, a data analysis and evaluation module, an output and feedback module, a result verification and optimization module and the like. The method aims at building a virtual environment by collecting material performance and environment information (such as house construction, ventilation conditions and weather over the years), simulating a real environment by using big data and a simulation technology, and evaluating fire fighting and safety production in a county region. And scientific risk assessment and improvement suggestions are provided for county managers.

Description

Technical Field

[0001] The present invention relates to the field of fire safety technology, and in particular to a county fire protection and production safety evaluation system based on big data and simulation technology. Background Art

[0002] With the rapid development of economy and the accelerated advancement of urbanization, fire protection and production safety work are facing greater and greater challenges. All kinds of enterprises, institutions, public places and residential areas need to strengthen fire protection and production safety management to ensure the safety of people's lives and property.

[0003] Nowadays, with the continuous development and integration of technologies such as big data, cloud computing, the Internet of Things, and artificial intelligence, these technologies can realize real-time data collection, processing, and analysis, and improve the intelligence and automation level of the system. With the continuous improvement of people's awareness of fire protection and production safety, as well as the continuous advancement and application promotion of science and technology, it is very necessary to promote sustained growth around the evaluation of county fire protection and production safety. Among them, in the fire safety assessment, the fire spread rate is an extremely important indicator, which has a very important impact on the development of fire protection work. However, the existing technology for estimating the fire spread rate is usually based on experience, and the accuracy is not high enough, which often affects the correct decision-making. Summary of the invention

[0004] In response to the deficiencies in the prior art, the present invention provides a county fire protection and production safety evaluation system based on big data and simulation technology. A virtual environment is constructed by collecting material properties and environmental information (such as building structure, ventilation conditions, weather conditions over the years, etc.). Big data and simulation technology are used to simulate the real environment to evaluate fire protection and production safety in the county. Through precise data analysis and model prediction, scientific risk assessment and improvement suggestions are provided to county managers.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A county fire protection and production safety evaluation system based on big data and simulation technology, including: The data collection and preprocessing module is used to collect the performance data of the main building materials in the county, house structure information, ventilation data and weather data over the years, and perform cleaning, denoising and standardization processing; The virtual environment construction module uses GIS technology and 3D modeling software to build a 3D model of the county based on the collected data and set environmental parameters and material properties; The simulation module includes fire simulation and safety production simulation. It uses fire dynamics model and other corresponding models, combined with data in the virtual environment, to simulate the occurrence and spread of fire and safety accidents and their impact on the surrounding environment and personnel. Data analysis and evaluation module: evaluates fire and production safety risks based on simulation results, generates comprehensive evaluation reports, and proposes improvement suggestions; The output and feedback module is used to output evaluation reports, receive user feedback, and optimize the system.

[0006] Preferably, the data collection and preprocessing module includes: Material performance data collection unit, used to collect key parameters such as combustion performance, fire resistance time, thermal conductivity, etc. of major building materials in the county; Environmental information data collection unit, including the collection of house structure, ventilation conditions, and weather data over the years; The data preprocessing unit is used to clean, denoise and standardize the collected data to ensure data quality and consistency.

[0007] Preferably, the virtual environment construction module includes: The three-dimensional modeling unit constructs a three-dimensional model of the county based on basic geographic information, building information, and environmental parameter data; Environmental parameter setting unit, which imports environmental parameters such as ventilation conditions and weather data into the model to simulate the real environment; Material property configuration unit, sets corresponding material performance parameters for different buildings in the model.

[0008] Preferably, the simulation module further comprises: Fire simulation unit, which uses fire dynamics model to simulate the occurrence and spread of fire; Safety production simulation unit, simulating different types of safety accidents and their impact on the surrounding environment and personnel; The parameter configuration unit configures the corresponding physical parameters, environmental parameters and personnel parameters for the simulation.

[0009] Preferably, the fire simulation unit is specifically used for: Using the fire dynamics model, combined with the building layout, material properties and ventilation conditions in the virtual environment, the fire occurrence, spread path, fire intensity changes and smoke diffusion processes are accurately simulated; Analyze key indicators such as fire spread speed, temperature distribution, personnel evacuation path and time, and provide a scientific basis for fire risk assessment.

[0010] Preferably, the safety production simulation unit is specifically used for: For different types of safety accidents: such as chemical leakage, mechanical failure, electrical fire, etc., build corresponding accident models to simulate the accident process and its consequences; Analyze factors such as the scope of pollution to the surrounding environment, the degree of personal injury, and equipment damage caused by the accident, and evaluate the safety and potential risks of the production environment.

[0011] Preferably, the data analysis and evaluation module includes: Fire risk assessment unit, assesses the fire risk level of different areas.

[0012] Preferably, it also includes a result verification and optimization module for comparing and verifying the simulation results with the actual situation, and optimizing and adjusting the simulation model according to the verification results and expert opinions.

[0013] Compared with the prior art, the present invention has the following beneficial effects: The present invention constructs a virtual environment by collecting material properties and environmental information (such as building structure, ventilation conditions, weather conditions over the years, etc.), and uses big data and simulation technology to simulate the real environment to evaluate fire protection and production safety in the county; through precise data analysis and model prediction, it provides scientific risk assessment and improvement suggestions for county managers.

[0014] The present invention simulates fires and safety accidents in real environments, discovers potential risks in advance, improves early warning capabilities, and especially proposes an accurate calculation method for the speed of fire spread; according to the evaluation results, it rationally allocates firefighting and production safety resources to improve resource utilization efficiency. It provides county managers with a scientific decision-making basis and formulates effective risk prevention and control measures.

[0015] The present invention compares and verifies the simulation results with the actual situation, which can be achieved by comparing with historical fire cases, on-site investigation data or expert evaluation opinions. The verification results can help evaluate the accuracy and reliability of the simulation model, and optimize and adjust the simulation model according to the verification results and expert opinions, so as to improve the accuracy and practicality of the simulation through continuous optimization and adjustment. DETAILED DESCRIPTION

[0016] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be used for other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0017] Example: The present invention provides a county-level fire protection and production safety evaluation system based on big data and simulation technology, including a data collection and preprocessing module, a virtual environment construction module, a simulation module, a data analysis and evaluation module, an output and feedback module, a result verification and optimization module, etc. The data collection and preprocessing module is used to collect the performance data of the main building materials in the county, house structure information, ventilation data and weather data over the years, and perform cleaning, denoising and standardization processing; The virtual environment construction module uses GIS technology and 3D modeling software to build a 3D model of the county based on the collected data and set environmental parameters and material properties; The simulation module includes fire simulation and safety production simulation. It uses fire dynamics model and other corresponding models, combined with data in the virtual environment, to simulate the occurrence and spread of fire and safety accidents and their impact on the surrounding environment and personnel. Data analysis and evaluation module: evaluates fire and production safety risks based on simulation results, generates comprehensive evaluation reports, and proposes improvement suggestions; Output and feedback module, used to output evaluation reports, receive user feedback, and optimize the system; The result verification and optimization module is used to compare and verify the simulation results with the actual situation, and optimize and adjust the simulation model based on the verification results and expert opinions.

[0018] In a specific implementation of the present application, data collection and preprocessing mainly include a material performance data collection unit, an environmental information data collection unit, and a data preprocessing unit.

[0019] Specifically, the material performance data collection unit is used to collect key parameters such as combustion performance, fire resistance time, thermal conductivity coefficient, etc. of major building materials in the county.

[0020] The environmental information data collection unit collects basic geographic information data, building information data, environmental parameter data, historical data and statistical information. Basic geographic information data includes the county's geographical location, topography, water system distribution, transportation network, etc. These data are the basic framework for building a virtual environment; building information data collects detailed information on various types of buildings in the county, such as building types: residential, commercial, industrial, etc., structural materials, number of floors, height, floor area, usage status, etc. This information is crucial for simulating fire spread, personnel evacuation and other scenes; environmental parameter data includes meteorological data such as wind direction, wind speed, temperature, humidity, rainfall, and natural environment information such as vegetation coverage and water distribution. These data will affect the speed and direction of fire spread, as well as the difficulty of personnel evacuation; historical data and statistical information collect historical data such as fires and production safety accidents that have occurred in the county in the past, as well as related statistical information (such as accident type, frequency of occurrence, loss, etc.), which are helpful for analyzing potential risk points and formulating assumptions for simulation.

[0021] The data preprocessing unit is used to clean, denoise and standardize the collected data to ensure data quality and consistency.

[0022] In a specific implementation of the present application, the virtual environment construction module includes a three-dimensional modeling unit, an environment parameter setting unit, and a material property configuration unit.

[0023] Specifically, the 3D modeling unit uses GIS technology and 3D modeling software to establish terrain modeling, building modeling, and environmental element modeling.

[0024] Terrain modeling constructs a three-dimensional terrain model of the county based on basic geographic information data; this includes digital representations of terrain features such as hills, rivers, and lakes.

[0025] Building modeling conducts precise three-dimensional modeling of buildings within the county based on building information data; this includes details such as the building's exterior shape, internal structure, door and window locations, etc. The actual size and proportional relationship of the building needs to be considered during the modeling process to ensure the accuracy of the simulation.

[0026] Environmental element modeling adds environmental elements such as vegetation, roads, bridges, and public facilities to the virtual environment; these elements not only increase the realism of the virtual environment, but may also affect processes such as fire spread and personnel evacuation.

[0027] Specifically, the environmental parameter setting unit configures corresponding parameters for each element in the virtual environment based on the collected environmental parameter data and historical statistical data; these parameters include the combustion performance of materials, thermal conductivity, personnel evacuation speed, ventilation conditions, weather data, etc., which will directly affect the results of the simulation.

[0028] Specifically, the material property configuration unit sets corresponding material performance parameters for different buildings in the model.

[0029] Select a suitable simulation engine (such as FDS, PyroSim, etc. for fire simulation, or other professional software for safe production simulation) and integrate it with the virtual environment. The simulation engine will simulate processes such as fire spread, personnel evacuation, and safety accidents based on the configured parameters and data of the virtual environment.

[0030] In a specific embodiment of the present application, the simulation includes a fire dynamics model and a safe production simulation model, wherein the fire model adopts a fire dynamics model (such as FDS, PyroSim, etc.) combined with the building layout, material properties, ventilation conditions, etc. in the virtual environment to simulate the occurrence and spread of fire; the safe production simulation targets different types of industrial production environments, simulates possible safety accidents (such as chemical leaks, mechanical failures, etc.), and evaluates their impact on the surrounding environment and personnel.

[0031] Furthermore, the fire spread rate in the fire dynamics model simulation is estimated as follows:

[0032] For the basic heat conduction part: Among them, is the fire spread rate, is the thermal conductivity of the material, q is the heat release rate of the fire source, is the material density, c is the material specific heat capacity, ΔT is the temperature difference between the fire source and the environment; is the wind speed influencing factor: where Vw is the wind speed, β is the wind direction angle, the angle between the wind direction and the flame propagation direction, and V0 is the reference flame propagation speed under windless conditions; is the slope influence factor, where θ is the flame propagation slope angle, θ0 is the calibration parameter of the slope influence; ψ is the obstacle and other environmental correction factor, which is set according to information such as building density, material distribution, and vegetation humidity; α is the adjustment coefficient, which is determined by fitting historical data based on the comprehensive material combustion efficiency and environmental impact.

[0033] Furthermore, the evacuation time of personnel in the fire dynamics model simulation is estimated as follows:

[0034] in, is the personnel evacuation time (unit: s), is the evacuation distance (unit: m), is the evacuation speed (unit: m / s, usually estimated based on crowd density and urgency), is the reaction time (unit: s, i.e. the time from perception to the start of action).

[0035] Furthermore, during the simulation process, the simulation parameter configuration includes physical parameters, environmental parameters, personnel parameters, etc.; Physical parameters: Configure parameters related to physical processes such as fire spread, heat transfer, and smoke diffusion, such as the thermal conductivity of the material, combustion rate, and smoke generation.

[0036] Environmental parameters: Set meteorological conditions (such as wind direction, wind speed, temperature, humidity, etc.) and terrain conditions (such as slope, obstacles, etc.) to simulate the impact of the actual environment on fire or production safety accidents.

[0037] Personnel parameters: configure the basic attributes of personnel (such as age, gender, physical condition, etc.) and behavioral characteristics (such as reaction time, movement speed, decision-making ability, etc.) to simulate the evacuation behavior of different groups of people in emergency situations.

[0038] In the specific implementation manner of the present application, the production safety simulation unit is specifically used to construct corresponding accident models for different types of safety accidents (such as chemical leakage, mechanical failure, electrical fire, etc.), simulate the accident process and its consequences; analyze factors such as the scope of pollution of the surrounding environment, the degree of personal injury, and equipment damage caused by the accident, and evaluate the safety and potential risks of the production environment.

[0039] Specifically, model construction: According to the actual situation of the industrial production environment, a simulation model is constructed, including equipment model, process flow model, personnel activity model, etc.; relevant parameters are configured in the model, such as equipment failure rate, material reaction conditions, probability of personnel operation errors, etc.

[0040] Simulation process: simulate possible safety accident scenarios, such as chemical leakage, mechanical failure, electrical fire, etc.; analyze the impact of the accident on the surrounding environment and personnel, including the diffusion range of toxic gases, the degree of personal injury, equipment damage, etc.

[0041] In this application, a chemical leakage accident is simulated, involving a basic data input module, a leakage process simulation module, a hazard assessment module and an emergency response simulation module.

[0042] Chemical property data are input in the basic data input module, including the name of the chemical, CAS number, physical state (solid, liquid, gas), density, viscosity, boiling point, flash point, explosion limit, toxicity level, water solubility, soil adsorption, etc.; environmental condition data are input, including the geographical location, topography, meteorological conditions (wind direction, wind speed, temperature, humidity, atmospheric pressure), soil type and vegetation coverage of the leakage site; leakage source information is input, including the type, size, rupture form, leakage rate, leakage duration, etc. of the leakage container.

[0043] The leakage process simulation module uses the leakage dynamics model to simulate the leakage process according to the leakage source information, and calculates the leakage rate, total leakage and leakage duration; the liquid / gas flow model is used for liquid chemicals to consider the influence of gravity, terrain slope, surface roughness and other factors on liquid flow; for gaseous chemicals, the gas diffusion model (such as Gaussian model, Lagrangian model, etc.) is used to simulate the gas diffusion path and concentration distribution. The hazard assessment module conducts toxicity assessment, explosion risk assessment and environmental impact assessment; specifically, the immediate and long-term effects on personnel health are assessed based on the toxicity level and exposure concentration of the chemical; for flammable and explosive chemicals, the possibility of forming a combustible mixture and the explosion risk after the leakage are assessed; and the potential impact of leaked chemicals on soil, water, air and ecosystems is analyzed.

[0044] The emergency response simulation module includes personnel evacuation simulation and emergency measures effect prediction. Specifically, it simulates the personnel evacuation path and time based on the chemical diffusion model and toxicity assessment results to provide guidance for emergency evacuation; it simulates the implementation effects of different emergency measures (such as plugging, dilution, neutralization, collection, etc.) to evaluate its ability to control leakage accidents.

[0045] Among them, the estimation method of production safety risk index is:

[0046] set up is the production safety risk index (dimensionless), For the The probability of a safety incident occurring (dimensionless, usually based on historical data and expert assessment), is the possible severity of the accident (dimensionless, also based on expert evaluation or standardized scoring), and assumes that A possible safety incident.

[0047] In the specific implementation manner of the present application, data analysis and evaluation include fire risk assessment, production safety assessment and comprehensive assessment report. The fire risk assessment is to evaluate the fire risk level of different areas based on the fire simulation results, including the fire spread speed, smoke diffusion range, difficulty of personnel evacuation, etc.; the production safety assessment evaluates the safety of the production environment and identifies potential safety hazards by analyzing the safety accident simulation results; the comprehensive assessment report combines the fire and production safety assessment results to generate a comprehensive assessment report and put forward targeted improvement suggestions.

[0048] Those skilled in the art should understand that the embodiments of the present invention shown in the above description are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

Claims

1. A county fire protection and production safety evaluation system based on big data and simulation technology, characterized by: include, The data collection and preprocessing module is used to collect the performance data of the main building materials in the county, house structure information, ventilation data and weather data over the years, and perform cleaning, denoising and standardization processing; The virtual environment construction module uses GIS technology and 3D modeling software to build a 3D model of the county based on the collected data and set environmental parameters and material properties; The simulation module includes fire simulation and safety production simulation. It uses fire dynamics model and other corresponding models, combined with data in the virtual environment, to simulate the occurrence and spread of fire and safety accidents and their impact on the surrounding environment and personnel. Data analysis and evaluation module: evaluates fire and production safety risks based on simulation results, generates comprehensive evaluation reports, and proposes improvement suggestions; Output and feedback module, used to output evaluation reports, receive user feedback, and optimize the system; The fire spread speed estimation method in the fire dynamics model simulation is as follows: ； For the basic heat conduction part: Among them, is the fire spread rate, is the thermal conductivity of the material, q is the heat release rate of the fire source, is the material density, c is the material specific heat capacity, ΔT is the temperature difference between the fire source and the environment; is the wind speed influencing factor: where Vw is the wind speed, β is the wind direction angle, the angle between the wind direction and the flame propagation direction, and V0 is the reference flame propagation speed under windless conditions; is the slope influence factor, where θ is the flame propagation slope angle, θ0 is the calibration parameter of the slope influence; ψ is the obstacle and other environmental correction factor, which is set according to information such as building density, material distribution, and vegetation humidity; α is the adjustment coefficient, which is determined by fitting historical data based on the comprehensive material combustion efficiency and environmental impact.

2. According to claim 1, a county fire protection and production safety evaluation system based on big data and simulation technology is characterized by: The data collection and preprocessing module includes: Material performance data collection unit, used to collect key parameters of combustion performance, fire resistance time, and thermal conductivity of major building materials in the county; Environmental information data collection unit, including the collection of house structure, ventilation conditions, and weather data over the years; The data preprocessing unit is used to clean, denoise and standardize the collected data to ensure data quality and consistency.

3. According to claim 2, a county fire protection and production safety evaluation system based on big data and simulation technology is characterized by: The virtual environment building module includes: The three-dimensional modeling unit constructs a three-dimensional model of the county based on basic geographic information, building information, and environmental parameter data; Environmental parameter setting unit, which imports ventilation conditions, weather data and environmental parameters into the model to simulate the real environment; Material property configuration unit, sets corresponding material performance parameters for different buildings in the model.

4. According to claim 1, a county fire protection and production safety evaluation system based on big data and simulation technology is characterized by: The simulation module further comprises: Fire simulation unit, which uses fire dynamics model to simulate the occurrence and spread of fire; Safety production simulation unit, simulating different types of safety accidents and their impact on the surrounding environment and personnel; The parameter configuration unit configures the corresponding physical parameters, environmental parameters and personnel parameters for the simulation.

5. According to claim 4, a county fire protection and production safety evaluation system based on big data and simulation technology is characterized by: The fire simulation unit is specifically used for: Using the fire dynamics model, combined with the building layout, material properties and ventilation conditions in the virtual environment, the fire occurrence, spread path, fire intensity changes and smoke diffusion processes are accurately simulated; Analyze key indicators such as fire spread speed, temperature distribution, personnel evacuation path and time, and provide a scientific basis for fire risk assessment.

6. According to claim 4, a county fire protection and production safety evaluation system based on big data and simulation technology is characterized by: The method for estimating the evacuation time of personnel in the fire dynamics model simulation is: in, Evacuation time for personnel, is the evacuation distance, is the evacuation speed, usually estimated based on crowd density and urgency), Reaction time is the time from perception to initiation of action.

7. According to claim 4, a county fire protection and production safety evaluation system based on big data and simulation technology is characterized by: The safety production simulation unit is specifically used for: For different types of safety accidents (such as chemical leakage, mechanical failure, electrical fire, etc.), build corresponding accident models to simulate the accident process and its consequences; Analyze factors such as the scope of pollution to the surrounding environment, the degree of personal injury, and equipment damage caused by the accident, and evaluate the safety and potential risks of the production environment.

8. According to claim 1, a county fire protection and production safety evaluation system based on big data and simulation technology is characterized by: The data analysis and evaluation module includes: Fire risk assessment unit, assesses the fire risk level of different areas.

9. The county fire protection and production safety evaluation system based on big data and simulation technology according to claim 1 is characterized by: It also includes a result verification and optimization module, which is used to compare and verify the simulation results with the actual situation, and optimize and adjust the simulation model based on the verification results and expert opinions.

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