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CN-121998408-A - Intelligent evaluation system and evaluation method for fire emergency drilling in chemical tank farm

CN121998408ACN 121998408 ACN121998408 ACN 121998408ACN-121998408-A

Abstract

The invention relates to the technical field of emergency drilling evaluation, in particular to an intelligent evaluation system and an evaluation method for fire emergency drilling in a chemical tank farm, wherein a multi-source monitoring terminal is arranged in a preset key area of the chemical tank farm and is used for acquiring multidimensional sensing data of a drilling site; the data transmission network is connected with the multi-source monitoring terminal and used for transmitting the multi-dimensional sensing data in real time, and the background processing center is connected with the data transmission network and used for receiving and processing the multi-dimensional sensing data. The intelligent fire extinguishing system based on the intelligent algorithm quantitatively evaluates the effectiveness of fire extinguishing operation, provides accurate data support, improves evaluation accuracy, automatically generates a detailed evaluation report, greatly shortens evaluation period, improves timeliness, clearly indicates exercise advantages and defects, provides targeted improvement suggestions, assisted emergency plan optimization, and improves dangerous area identification and fire judgment capability by penetrating smoke monitoring temperature through a thermal imaging technology.

Inventors

  • LI YAWEN
  • ZHU RUIJIE
  • JIANG CHENGQI
  • WANG YONGBING
  • LIU YING
  • WANG KAIXING

Assignees

  • 金川集团股份有限公司
  • 金川集团化工新材料有限责任公司

Dates

Publication Date
20260508
Application Date
20251222

Claims (6)

  1. 1. The intelligent evaluation system for the fire emergency exercise in the chemical tank farm is characterized by comprising a multi-source monitoring terminal, a data transmission network and a background processing center; The multi-source monitoring terminal is arranged in a preset key area of the chemical tank farm and used for acquiring multi-dimensional perception data of the drilling site, and comprises a visible light acquisition unit, a thermal imaging monitoring unit and a meteorological monitoring unit, wherein the visible light acquisition unit is used for capturing video stream data of the fire drilling site from multiple angles, the thermal imaging monitoring unit is used for penetrating smoke to monitor site temperature distribution data in real time and locate a high-temperature point area, and the meteorological monitoring unit is used for acquiring wind direction and wind speed data of the drilling site in real time; 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; The background processing center is connected with the data transmission network and used for receiving and processing the multidimensional sensing data, the background processing center comprises a data fusion analysis module, an intelligent evaluation module and a report generation module, the data fusion analysis module utilizes a computer vision and image processing algorithm to conduct fusion analysis on the video stream data, the temperature distribution data and the wind direction and wind speed data, the intelligent evaluation module conducts quantization calculation on fire extinguishing tactics application, foam coverage effect and water gun array arrangement based on the result of fusion analysis and compares actual exercise progress with a pre-stored emergency plan reference model, and the report generation module generates an evaluation report containing problem analysis and improvement suggestions according to the result of quantization calculation and comparison.
  2. 2. The intelligent evaluation system for emergency drilling of fire disaster in the chemical tank farm according to claim 1 is characterized in that the quantitative calculation content of the intelligent evaluation module for fire extinguishing tactics comprises the steps of constructing a dynamic risk area model according to wind direction data collected by a meteorological monitoring unit and fire intensity distribution collected by a thermal imaging monitoring unit, identifying an actual attack route of a fire team through a visible light collecting unit, judging whether the actual attack route avoids a high risk area in the dynamic risk area model, and calculating a route safety score.
  3. 3. The intelligent evaluation system for emergency drilling of fire disaster in the chemical tank farm according to claim 1 is characterized in that the quantitative calculation content of the intelligent evaluation module for the foam coverage effect comprises the steps of extracting a foam coverage area from the video stream data by utilizing an image segmentation technology, analyzing the temperature drop rate of the foam coverage area by combining the temperature distribution data, and calculating the comprehensive effectiveness index of the foam coverage according to the area occupation ratio, the estimated thickness and the temperature drop rate of the foam coverage area.
  4. 4. The intelligent evaluation system for emergency drilling of fire disaster in the chemical tank farm according to claim 1 is characterized in that the quantitative calculation content of the intelligent evaluation module for the arrangement of the water gun array comprises the steps of identifying the track, the angle and the drop point position of water gun jet water flow, calculating the distance deviation between the water gun jet drop point and the high-temperature hot point area, evaluating the deviation degree of water jet affected by wind force by combining the wind speed data, and judging whether the current array position is the optimal shooting position or not.
  5. 5. The intelligent evaluation system for emergency drilling of fire disaster in the chemical tank farm according to claim 1 is characterized in that the emergency plan reference model comprises task targets, standard time nodes and resource allocation schemes of each stage, the intelligent evaluation module can also track drilling time progress in real time, compare the drilling time progress with the standard time nodes, calculate response speed deviation, count actual input combat effort and analyze matching degree of the actual input combat effort with the resource allocation schemes.
  6. 6. A method for intelligent assessment of fire emergency exercises in a chemical storage tank area based on the system according to any one of claims 1 to 5, characterized in that the method comprises the following steps: S1, synchronously starting a multi-source monitoring terminal when the exercise is started, and acquiring video stream, temperature distribution and meteorological data of an exercise site in real time through a visible light acquisition unit, a thermal imaging monitoring unit and an meteorological monitoring unit; S2, transmitting the acquired data to a background processing center in real time through a data transmission network; s3, the background processing center carries out pretreatment and feature extraction on the received data, and identifies flame contours, smoke diffusion paths and high-temperature areas; S4, quantitatively analyzing the foam coverage area, the water gun injection precision and the attack route safety based on the identification result, and comparing the foam coverage area, the water gun injection precision and the attack route safety with a preset emergency plan reference model in real time; and S5, after the drilling is finished, automatically summarizing the analysis result to generate an evaluation report containing the quantitative score and the improvement suggestion.

Description

Intelligent evaluation system and evaluation method for fire emergency drilling in chemical tank farm Technical Field The invention relates to the technical field of emergency drilling evaluation, in particular to an intelligent evaluation system and an evaluation method for fire emergency drilling in a chemical tank farm. Background The chemical tank farm is used as the core area of high-risk industry, stores a great amount of inflammable, explosive, toxic and harmful chemical raw materials, and is of great importance in safety management. In order to cope with possible fire accidents, the regular development of fire emergency exercises is a necessary means for checking the feasibility of emergency plans and improving the actual combat ability of firefighters. Currently, in the field of safety evaluation of chemical tank areas, the prior art focuses on static risk evaluation index system construction and calculation of theoretical models. For example, chinese patent CN104657810a discloses a fire explosion risk assessment method in petrochemical dock storage tank area, which uses a hierarchical analysis method to calculate risk weights by establishing a multi-dimensional risk assessment index system including dangerous goods, operation safety, personnel, environment, management and the like, and combines a pool fire hazard model (including a combustion rate, a flame height and a heat radiation flux formula) to determine theoretical risk values of assumed accidents, thereby classifying acceptable risk levels. Although the technology provides a quantitative risk grading basis for the safety management of the storage tank area in a theoretical level, and is beneficial to preventing accidents, the technology mainly focuses on risk prediction and grading before the accidents, and real-time monitoring and evaluation of the scene situation of transient and changeable in the drilling process are difficult. In an actual fire emergency drilling link, the traditional evaluation mode still mainly depends on manual field observation and subjective judgment. Drill evaluators typically stand in a safe area and score fire tactical, team coordination by eye and experience. However, the traditional method has the obvious technical limitations that firstly, the environment of a fire exercise site is complex, a large amount of dense smoke, flame radiation and water mist are accompanied, the manual sight is extremely easy to block, the abnormal temperature distribution around a storage tank, the fine change of flame morphology and the real-time fluctuation of wind direction and wind speed are difficult to penetrate through the smoke to accurately capture, secondly, for key tactical indexes of fire extinguishment and rescue, such as whether the thickness and area of foam coverage reach standards, the arrangement angle and distance of a water gun array are in an optimal efficiency range, the manual evaluation is difficult to provide accurate quantitative data support, so that the evaluation result is high in subjectivity and low in accuracy, and finally, the manual recording and post analysis are time-consuming and labor-consuming, the evaluation report generation period is long, and the requirements of quick disc multiplexing and timely correction of an emergency plan cannot be met. Disclosure of Invention Aiming at the problems in the prior art, the invention provides an intelligent evaluation system and an intelligent evaluation method for fire emergency drilling in a chemical tank farm. In order to achieve the above purpose, the technical scheme of the invention is as follows: an intelligent evaluation system for fire emergency drilling in a chemical tank farm comprises a multi-source monitoring terminal, a data transmission network and a background processing center; The multi-source monitoring terminal is arranged in a preset key area of the chemical tank farm and used for acquiring multi-dimensional perception data of the drilling site, and comprises a visible light acquisition unit, a thermal imaging monitoring unit and a meteorological monitoring unit, wherein the visible light acquisition unit is used for capturing video stream data of the fire drilling site from multiple angles, the thermal imaging monitoring unit is used for penetrating smoke to monitor site temperature distribution data in real time and locate a high-temperature point area, and the meteorological monitoring unit is used for acquiring wind direction and wind speed data of the drilling site in real time; 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; The background processing center is connected with the data transmission network and used for receiving and processing the multidimensional sensing data, the background processing center comprises a data fusion analysis module, an intelligent evaluation module and a report generation module,