Chemical storage tank area fire emergency drill intelligent evaluation system and evaluation method

Abstract

The invention relates to the technical field of emergency drill evaluation, in particular to a chemical storage tank area fire emergency drill intelligent evaluation system and evaluation method.The multi-source monitoring terminal is arranged in a preset key area of a chemical storage tank area and used for collecting multi-dimensional sensing data of a drill site; the data transmission network is connected with the multi-source monitoring terminal and is used for transmitting the multi-dimensional sensing data in real time; and the background processing center is connected with the data transmission network and is used for receiving and processing the multi-dimensional sensing data. The effectiveness of fire extinguishing operation is quantitatively evaluated through an intelligent algorithm, accurate data support is provided, and the evaluation accuracy is improved; a detailed evaluation report is automatically generated, the evaluation period is greatly shortened, and the timeliness is improved; advantages and deficiencies of drilling are clearly pointed out, targeted improvement suggestions are provided, and emergency plan optimization is assisted; the thermal imaging technology penetrates through the smoke to monitor the temperature, and the dangerous area identification and fire behavior judgment capability is improved.

Description

Technical Field

[0001] This invention relates to the field of emergency drill evaluation technology, specifically to an intelligent evaluation system and method for emergency drills in chemical storage tank areas. Background Technology

[0002] Chemical storage tank areas, as core areas of high-risk industries, store large quantities of flammable, explosive, toxic, and hazardous chemical raw materials, making their safety management crucial. To address potential fire accidents, regularly conducting fire emergency drills is essential for testing the feasibility of emergency plans and improving the practical capabilities of fire brigades.

[0003] Currently, in the field of safety assessment for chemical tank farms, existing technologies primarily focus on constructing static risk assessment index systems and calculating theoretical models. For example, Chinese patent CN104657810A discloses a method for assessing fire and explosion risks in petrochemical terminal tank farms. This technology establishes a multi-dimensional risk assessment index system encompassing hazardous materials, operational safety, personnel, environment, and management. It uses the analytic hierarchy process (AHP) to calculate risk weights and combines a pool fire hazard model (including formulas for combustion rate, flame height, and thermal radiation flux) to determine the theoretical risk value of hypothetical accidents, thereby classifying acceptable risk levels. While this type of technology provides a quantitative risk classification basis for the safety management of tank farms at the theoretical level, helping to prevent accidents, it mainly focuses on risk prediction and classification before accidents occur, making it difficult to monitor and assess the rapidly changing on-site situation during drills.

[0004] In actual fire emergency drills, traditional assessment methods still primarily rely on manual on-site observation and subjective judgment. Evaluators typically stand in a safe area, scoring firefighting tactics and team coordination based on visual observation and experience. However, this traditional method has significant technical limitations: First, the environment at fire drill sites is complex, with abundant smoke, flame radiation, and water mist, easily obstructing human vision and making it difficult to penetrate smoke to accurately capture abnormal temperature distributions around storage tanks, subtle changes in flame patterns, and real-time fluctuations in wind direction and speed. Second, for key tactical indicators in firefighting and rescue, such as whether the thickness and area of ​​foam coverage meet standards and whether the angle and distance of water cannon positions are within the optimal effectiveness range, manual assessment struggles to provide precise quantitative data support, leading to highly subjective and inaccurate assessment results. Finally, manual recording and post-event analysis are time-consuming and labor-intensive, resulting in long assessment report generation cycles that cannot meet the needs of rapid debriefing and timely revision of emergency plans. Summary of the Invention

[0005] To address the problems existing in the prior art, the present invention provides an intelligent assessment system and assessment method for emergency fire drills in chemical storage tank areas.

[0006] To achieve the above objectives, the technical solution of the present invention is as follows:

[0007] An intelligent assessment system for emergency fire drills in chemical storage tank areas includes multi-source monitoring terminals, a data transmission network, and a back-end processing center;

[0008] The multi-source monitoring terminal is set in a predetermined key area of ​​the chemical storage tank area and is used to collect multi-dimensional sensing data of the drill site. The multi-source monitoring terminal includes a visible light acquisition unit for capturing video stream data of the fire drill site from multiple angles, a thermal imaging monitoring unit for penetrating smoke to monitor the temperature distribution data of the site in real time and locate high-temperature hot spots, and a meteorological monitoring unit for collecting wind direction and wind speed data of the drill site in real time.

[0009] The data transmission network is connected to the multi-source monitoring terminal and is used to transmit the multi-dimensional sensing data in real time;

[0010] The back-end processing center is connected to the data transmission network and is used to receive and process the multi-dimensional sensing data. The back-end processing center includes a data fusion analysis module, an intelligent evaluation module, and a report generation module. The data fusion analysis module uses computer vision and image processing algorithms to perform fusion analysis on the video stream data, the temperature distribution data, and the wind direction and wind speed data. Based on the results of the fusion analysis, the intelligent evaluation module performs quantitative calculations on the application of fire extinguishing tactics, the effectiveness of foam coverage, and the deployment of water cannon positions, and compares the actual progress of the exercise with a pre-stored emergency plan benchmark model. The report generation module generates an evaluation report containing problem analysis and improvement suggestions based on the results of the quantitative calculation and comparison.

[0011] Furthermore, the intelligent assessment module's quantitative calculations for firefighting tactics include: constructing a dynamic risk area model based on wind direction data collected by the meteorological monitoring unit and fire intensity distribution collected by the thermal imaging monitoring unit; identifying the actual attack route of the fire brigade through the visible light acquisition unit; determining whether the actual attack route avoids high-risk areas in the dynamic risk area model; and calculating the route safety score.

[0012] Furthermore, the intelligent evaluation module's quantitative calculation of the foam coverage effect includes: extracting the foam coverage area from the video stream data using image segmentation technology; analyzing the temperature drop rate of the foam coverage area in conjunction with the temperature distribution data; and calculating the comprehensive effectiveness index of the foam coverage based on the area ratio of the foam coverage area, the estimated thickness, and the temperature drop rate.

[0013] Furthermore, the intelligent evaluation module's quantitative calculations for the water gun position layout include: identifying the trajectory, angle, and landing point of the water jet; calculating the distance deviation between the water jet landing point and the high-temperature hotspot area; and, in conjunction with the wind speed data, evaluating the deviation of the water jet spray due to wind force, and determining whether the current position is the optimal firing position.

[0014] Furthermore, the emergency response plan benchmark model includes task objectives, standard time nodes, and resource allocation schemes for each stage; the intelligent evaluation module can also track the progress of the exercise in real time, compare it with the standard time nodes, calculate the response speed deviation, and statistically analyze the actual combat forces deployed and their matching degree with the resource allocation scheme.

[0015] This invention also includes the following technical solutions:

[0016] A smart assessment method for emergency fire drills in chemical storage tank areas based on the above system, the method comprising the following steps:

[0017] S1: At the start of the exercise, the multi-source monitoring terminal is activated simultaneously to collect video streams, temperature distribution and meteorological data of the exercise site in real time through the visible light acquisition unit, thermal imaging monitoring unit and meteorological monitoring unit.

[0018] S2: The collected data is transmitted to the back-end processing center in real time via the data transmission network;

[0019] S3: The back-end processing center preprocesses and extracts features from the received data to identify flame outlines, smoke diffusion paths, and high-temperature areas;

[0020] S4: Based on the identification results, quantitatively analyze the foam coverage area, water gun spray accuracy, and attack route safety, and compare them in real time with the preset emergency plan benchmark model;

[0021] S5: After the exercise, the results are automatically summarized and analyzed to generate an evaluation report that includes quantitative scores and improvement suggestions.

[0022] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0023] This invention provides an intelligent evaluation system and method for emergency fire drills in chemical storage tank areas. It uses intelligent algorithms to quantify the effectiveness of firefighting operations, providing precise data support and improving evaluation accuracy. It automatically generates detailed evaluation reports, significantly shortening the evaluation cycle and improving timeliness. It clearly identifies the strengths and weaknesses of the drills and proposes targeted improvement suggestions, aiding in the optimization of emergency plans. Thermal imaging technology penetrates smoke to monitor temperature, enhancing the ability to identify hazardous areas and assess fire intensity. The evaluation cycle is shortened from several days using traditional manual methods to automatic generation after the drill. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this invention clearer, the invention is further described in detail below through specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0025] An intelligent assessment system for emergency fire drills in chemical storage tank areas includes multi-source monitoring terminals, a data transmission network, and a back-end processing center;

[0026] The multi-source monitoring terminal is set up in the preset key areas of the chemical storage tank area to collect multi-dimensional sensing data of the drill site. The multi-source monitoring terminal includes a visible light acquisition unit for capturing video stream data of the fire drill site from multiple angles, a thermal imaging monitoring unit for penetrating smoke to monitor the temperature distribution data of the site in real time and locate high temperature hotspots, and a meteorological monitoring unit for collecting wind direction and wind speed data of the drill site in real time.

[0027] The data transmission network is connected to the multi-source monitoring terminal for real-time transmission of multi-dimensional sensing data;

[0028] The back-end processing center is connected to the data transmission network to receive and process multi-dimensional sensing data. The back-end processing center includes a data fusion analysis module, an intelligent assessment module, and a report generation module. The data fusion analysis module uses computer vision and image processing algorithms to fuse and analyze video stream data, temperature distribution data, and wind direction and speed data. Based on the results of the fusion analysis, the intelligent assessment module quantifies the application of firefighting tactics, the effectiveness of foam coverage, and the deployment of water cannon positions, and compares the actual progress of the exercise with a pre-stored emergency response plan benchmark model. The report generation module generates an assessment report containing problem analysis and improvement suggestions based on the results of the quantitative calculations and comparisons.

[0029] In one embodiment of the present invention, the intelligent assessment module's quantitative calculation of firefighting tactics includes: constructing a dynamic risk area model based on wind direction data collected by the meteorological monitoring unit and fire intensity distribution collected by the thermal imaging monitoring unit; identifying the actual attack route of the fire brigade through the visible light acquisition unit; determining whether the actual attack route avoids the high-risk area in the dynamic risk area model, and calculating the route safety score.

[0030] In one embodiment of the present invention, the intelligent evaluation module's quantitative calculation of the foam coverage effect includes: extracting the foam coverage area from video stream data using image segmentation technology; analyzing the temperature drop rate of the foam coverage area by combining temperature distribution data; and calculating the comprehensive effectiveness index of the foam coverage based on the area ratio of the foam coverage area, the estimated thickness, and the temperature drop rate.

[0031] In one embodiment of the present invention, the intelligent evaluation module performs quantitative calculations on the water gun position layout, including: identifying the trajectory, angle, and landing point of the water jet; calculating the distance deviation between the water jet landing point and the high-temperature hot spot area; and, in conjunction with wind speed data, evaluating the deviation of the water jet spray due to wind force, and determining whether the current position is the optimal firing position.

[0032] In one embodiment of the present invention, the emergency response plan benchmark model includes the task objectives, standard time nodes, and resource allocation schemes for each stage; the intelligent evaluation module can also track the time progress of the exercise in real time, compare it with the standard time nodes, calculate the response speed deviation, and statistically analyze the actual combat forces deployed and their matching degree with the resource allocation scheme.

[0033] This invention also includes the following technical solutions:

[0034] A smart assessment method for emergency fire drills in chemical storage tank areas based on the above system, the method includes the following steps:

[0035] S1: At the start of the exercise, the multi-source monitoring terminal is activated simultaneously to collect video streams, temperature distribution and meteorological data of the exercise site in real time through the visible light acquisition unit, thermal imaging monitoring unit and meteorological monitoring unit.

[0036] S2: The collected data is transmitted to the back-end processing center in real time via the data transmission network;

[0037] S3: The back-end processing center preprocesses and extracts features from the received data to identify flame outlines, smoke diffusion paths, and high-temperature areas;

[0038] S4: Based on the identification results, quantitatively analyze the foam coverage area, water gun spray accuracy, and attack route safety, and compare them in real time with the preset emergency plan benchmark model;

[0039] S5: After the exercise, the results are automatically summarized and analyzed to generate an evaluation report that includes quantitative scores and improvement suggestions.

[0040] This invention provides an intelligent evaluation system and method for emergency fire drills in chemical storage tank areas. It uses intelligent algorithms to quantify the effectiveness of firefighting operations, providing precise data support and improving evaluation accuracy. It automatically generates detailed evaluation reports, significantly shortening the evaluation cycle and improving timeliness. It clearly identifies the strengths and weaknesses of the drills and proposes targeted improvement suggestions, aiding in the optimization of emergency plans. Thermal imaging technology penetrates smoke to monitor temperature, enhancing the ability to identify hazardous areas and assess fire intensity. The evaluation cycle is shortened from several days using traditional manual methods to automatic generation after the drill.

[0041] The foregoing descriptions have outlined some exemplary embodiments of the present invention. It is understood that these embodiments are merely illustrative and do not constitute a limitation on the scope of protection of the present invention. Features in these embodiments can be rearranged in suitable ways, and the resulting solutions remain within the scope of protection claimed by the present invention. All other embodiments obtained by those skilled in the art based on the foregoing embodiments without inventive effort, i.e., all modifications, equivalent substitutions, and improvements made within the spirit and principles of this application, fall within the scope of protection claimed by the present invention.

Claims

1. An intelligent assessment system for emergency fire drills in chemical storage tank areas, characterized in that, This includes multi-source monitoring terminals, data transmission networks, and a back-end processing center; The multi-source monitoring terminal is set in a predetermined key area of ​​the chemical storage tank area and is used to collect multi-dimensional sensing data of the drill site. The multi-source monitoring terminal includes a visible light acquisition unit for capturing video stream data of the fire drill site from multiple angles, a thermal imaging monitoring unit for penetrating smoke to monitor the temperature distribution data of the site in real time and locate high-temperature hot spots, and a meteorological monitoring unit for collecting wind direction and wind speed data of the drill site in real time. The data transmission network is connected to the multi-source monitoring terminal and is used to transmit the multi-dimensional sensing data in real time; The back-end processing center is connected to the data transmission network and is used to receive and process the multi-dimensional sensing data. The back-end processing center includes a data fusion analysis module, an intelligent evaluation module, and a report generation module. The data fusion analysis module uses computer vision and image processing algorithms to perform fusion analysis on the video stream data, the temperature distribution data, and the wind direction and wind speed data. Based on the results of the fusion analysis, the intelligent evaluation module performs quantitative calculations on the application of fire extinguishing tactics, the effectiveness of foam coverage, and the deployment of water cannon positions, and compares the actual progress of the exercise with a pre-stored emergency plan benchmark model. The report generation module generates an evaluation report containing problem analysis and improvement suggestions based on the results of the quantitative calculation and comparison.

2. The intelligent assessment system for emergency fire drills in chemical storage tank areas according to claim 1, characterized in that, The intelligent assessment module's quantitative calculations for firefighting tactics include: constructing a dynamic risk area model based on wind direction data collected by the meteorological monitoring unit and fire intensity distribution collected by the thermal imaging monitoring unit; identifying the actual attack route of the fire brigade through the visible light acquisition unit; determining whether the actual attack route avoids high-risk areas in the dynamic risk area model; and calculating the route safety score.

3. The intelligent assessment system for emergency fire drills in chemical storage tank areas according to claim 1, characterized in that, The intelligent evaluation module's quantitative calculation of the foam coverage effect includes: extracting the foam coverage area from the video stream data using image segmentation technology; analyzing the temperature drop rate of the foam coverage area based on the temperature distribution data; and calculating the comprehensive effectiveness index of the foam coverage based on the area ratio of the foam coverage area, the estimated thickness, and the temperature drop rate.

4. The intelligent assessment system for emergency fire drills in chemical storage tank areas according to claim 1, characterized in that, The intelligent evaluation module performs the following quantitative calculations on the water gun position layout: identifying the trajectory, angle, and landing point of the water jet; calculating the distance deviation between the water jet landing point and the high-temperature hot spot area; and, in conjunction with the wind speed data, evaluating the deviation of the water jet spray due to wind force, and determining whether the current position is the optimal firing position.

5. The intelligent assessment system for emergency fire drills in chemical storage tank areas according to claim 1, characterized in that, The emergency response plan baseline model includes the task objectives, standard time nodes, and resource allocation schemes for each stage; the intelligent evaluation module can also track the progress of the exercise in real time, compare it with the standard time nodes, calculate the response speed deviation, and statistically analyze the matching degree between the actual combat forces deployed and the resource allocation scheme.

6. A smart evaluation method for emergency fire drills in chemical storage tank areas based on the system described in any one of claims 1 to 5, characterized in that, The method includes the following steps: S1: At the start of the exercise, the multi-source monitoring terminal is activated simultaneously to collect video streams, temperature distribution and meteorological data of the exercise site in real time through the visible light acquisition unit, thermal imaging monitoring unit and meteorological monitoring unit. S2: The collected data is transmitted to the back-end processing center in real time via the data transmission network; S3: The back-end processing center preprocesses and extracts features from the received data to identify flame outlines, smoke diffusion paths, and high-temperature areas; S4: Based on the identification results, quantitatively analyze the foam coverage area, water gun spray accuracy, and attack route safety, and compare them in real time with the preset emergency plan benchmark model; S5: After the exercise, the results are automatically summarized and analyzed to generate an evaluation report that includes quantitative scores and improvement suggestions.