Closed management system and method for hazardous chemical vehicles in chemical industry park

Abstract

The invention belongs to the technical field of chemical safety management, and particularly discloses a closed management system and method for hazardous chemical vehicles in a chemical industrial park, and the system comprises a positioning and tracking module integrated with a GPS / Beidou dual-mode positioning unit and a wireless communication unit, obtains the position information of the hazardous chemical vehicles in real time, transmits the data to a management platform through the wireless communication unit, and carries out the management of the hazardous chemical vehicles. Managers can master vehicle dynamic states at any time; the risk assessment module is integrated with a multi-source sub-module, and performs real-time assessment on the safety risk of the hazardous chemical vehicles in the park by comprehensively analyzing meteorological data, vehicle information and dynamic states of personnel in the park; the gathering early-warning module integrates vehicle reservation information, vehicle real-time positioning data and a geographic information system, when it is detected that vehicles are gathered in a specific area, the system will immediately trigger an early-warning mechanism, early-warning information is sent to a manager in time through the wireless communication unit, dredging measures can be taken quickly, and the management efficiency is improved. And potential safety accidents are effectively prevented.

Description

Technical Field

[0001] This invention relates to the field of chemical safety management technology, specifically to a closed-loop management system and method for hazardous chemical vehicles in chemical industrial parks. Background Technology

[0002] Chemical industrial parks are critical areas for the production, storage, and distribution of hazardous chemicals, making their safety management paramount. The high-frequency movement of hazardous chemical transport vehicles within these parks constitutes a significant dynamic risk source. Under closed-loop management, vehicles often need to wait in designated areas or along roadsides due to company operational processes, leading to prolonged clustering of multiple vehicles in confined spaces. This not only causes congestion but also creates localized "mobile hazardous chemical warehouses," greatly increasing the risk of fire, explosions, leaks, and chain reactions, seriously threatening the overall safety of the park.

[0003] Currently, the management of hazardous chemical vehicles in chemical industrial parks relies on manual labor and decentralized systems, which have systemic defects: First, the lack of reservation and total volume control mechanisms leads to disorderly vehicle entry and peak-hour congestion, resulting in a lack of proactive risk control; second, process supervision is weak, lacking real-time positioning and dynamic statistics, making it impossible to accurately grasp vehicle distribution and intervene in diversion; third, risk warnings only target single-vehicle violations, lacking identification and warning for macro-high-risk scenarios such as multiple vehicle gatherings; finally, the various system modules are fragmented, failing to form an integrated closed loop of "reservation-monitoring-control-early warning," resulting in low management efficiency and potential safety hazards.

[0004] In summary, the current management methods for hazardous chemical vehicles in chemical industrial parks are significantly inadequate in terms of systematicness, foresight, real-time performance, and intelligence, making it difficult to effectively address the major safety risks posed by vehicles entering the park in an unregulated manner and congregating within the park. Summary of the Invention

[0005] The purpose of this invention is to provide a closed-loop management system and method for hazardous chemical vehicles in chemical industrial parks, in order to solve the problems of the current management of hazardous chemical vehicles in chemical industrial parks lacking reservation and total quantity control mechanisms, weak process supervision, and lacking multi-vehicle identification and early warning capabilities, making it difficult to effectively deal with the major safety risks caused by vehicles entering the park in a disorderly manner and crowding together in the park.

[0006] To achieve the above objectives, the basic solution provided by this invention is: a closed-loop management system for hazardous chemical vehicles in a chemical industrial park, including a positioning and tracking module, a risk assessment module, and a clustering early warning module, the specific details of which are as follows: The positioning and tracking module integrates a GPS / BeiDou dual-mode positioning unit and a wireless communication unit to obtain the location information of hazardous chemical vehicles in real time, and transmits the data to the management platform through the wireless communication unit to ensure that managers can keep track of the vehicle's dynamics at any time. The risk assessment module integrates the meteorological condition risk sub-module, the hazardous chemical vehicle information risk sub-module, and the on-site personnel dynamic risk sub-module. By comprehensively analyzing meteorological data, vehicle information, and on-site personnel dynamics, it conducts real-time assessment of the safety risks of hazardous chemical vehicles within the park, providing managers with a scientific and reasonable basis for decision-making. The crowding warning module integrates vehicle reservation information, real-time vehicle location data, and geographic information system to build a full-time, full-area monitoring network for the behavior of hazardous chemical transport vehicles in public areas within the park. When a clustering phenomenon of vehicles is detected in a specific area, the system will immediately trigger the warning mechanism and send the warning information to the management personnel in a timely manner through the wireless communication unit so that diversion measures can be taken quickly and potential safety accidents can be effectively prevented.

[0007] The working principle of this invention lies in the fact that the system achieves closed-loop management through the coordinated operation of three major modules. The positioning and tracking module, acting as the system's "sensors," utilizes GPS / BeiDou dual-mode positioning and wireless communication technology to collect and transmit the precise location of vehicles in real time, providing a dynamic data foundation for the entire system. The risk assessment module, acting as the system's "brain," integrates multi-source data such as meteorological data, vehicle attributes, and park personnel heat maps, and performs real-time fusion analysis through a built-in algorithm model to dynamically calculate the comprehensive safety risk value of individual vehicles and areas. The crowding warning module, acting as the system's "early warning sentinel," continuously scans public areas of the park based on reservation information, real-time positioning, and electronic maps, using spatiotemporal algorithms to intelligently identify risky behavior patterns such as unconventional vehicle gatherings, and immediately triggers an alarm once a preset threshold is reached.

[0008] The beneficial effects of this invention are as follows: the system realizes the transformation from static filing to dynamic perception, and from passive response to proactive prevention; through real-time monitoring and intelligent analysis of all time domains and all elements, it greatly improves the accuracy and timeliness of risk identification, enabling managers to anticipate risk trends and make scientific decisions; at the same time, the efficient clustering early warning mechanism can effectively prevent chain accidents that may be caused by disorderly vehicle gathering, significantly improve the overall safety management capabilities and emergency response speed of the park, and fundamentally strengthen the safety defense line.

[0009] Option 2, a closed-loop management method for hazardous chemical vehicles in a chemical industrial park, includes the following steps: S1: Visiting vehicles fill in the license plate number, type of hazardous chemicals, entry time, and visiting company information in the mini-program, submit the reservation application, and generate a reservation voucher after review and approval by the park management personnel; S2: Upon arrival of the vehicle, the visitor will receive a positioning card based on the reservation voucher and bind it to the vehicle. The positioning card will then be activated and upload its initial location to the system. S3: After a vehicle enters the park, the positioning card collects the vehicle's location data in real time and uploads it to the system backend; S4: The system combines real-time weather data, vehicle reservation information, and the distribution of people in the park to construct a comprehensive risk index, and dynamically calculates and recommends the maximum number of hazardous chemical transport vehicles allowed in the park based on this index. S5: Based on the real-time vehicle location information uploaded by the positioning card and the calculated maximum number of vehicles allowed in the park, determine whether there is a clustering of vehicles in the area. If the number of vehicles parked in a certain area reaches the limit, the system will trigger a clustering alarm and notify the management personnel and drivers through a pop-up window on the central control screen and SMS. If no clustering of vehicles is detected, no alarm will be triggered. S6: After the system detects that the vehicles have left the area, the crowding status will be automatically lifted and the alarm will be automatically terminated. S7: When a visiting vehicle needs to leave the park, the system automatically verifies the consistency between the license plate number and the positioning card code. If they match, the positioning card is retrieved and the vehicle information is unbound. If they do not match, the vehicle is prohibited from leaving the park.

[0010] Option 3 is the preferred option of Option 2. In step S3, the positioning accuracy of the positioning card is ≤3m and the upload frequency is ≤5s / time.

[0011] Option 4, which is an optimal choice of Option 2, involves constructing a risk index based on the meteorological conditions risk submodule, the hazardous materials vehicle information risk submodule, and the dynamic risk submodule of personnel in the park in step S4. The specific implementation method is as follows: Meteorological conditions: a: Real-time access to authoritative meteorological data, including but not limited to wind speed, wind direction, precipitation, humidity, visibility, and severe weather warnings; b: The system identifies high and low risk meteorological conditions, classifying "sunny, windless, and high visibility" as low-risk conditions and "strong winds, heavy rain, low visibility, and severe weather warnings" as high-risk conditions, and assigns corresponding meteorological risk coefficients to different meteorological conditions; Hazardous materials vehicle information: a: Classify hazardous materials according to their inherent risk levels based on national standards and assign risk weights; b: Collect information on the type, quantity, weight, physicochemical properties, and hazard level of the hazardous materials carried by the vehicles; c: Assess the potential risk synergy effect of the current reserved vehicle combination within the park, based on the actual area of ​​the park, functional zone division, and distribution of sensitive targets; d: Output the risk coefficient of the reserved vehicle combination and reflect the static and potential dynamic risks of the hazardous materials planned to enter the park.

[0012] Personnel dynamics in the park: a: Real-time acquisition of the number and distribution area information of personnel in the park through the personnel positioning system in the park; b: Setting a basic risk value based on the general number of personnel in the park, dividing different risk area levels according to the population density of different areas, and calculating the dynamic risk coefficient of personnel in the park in combination with the number of personnel. Comprehensive Risk Index Construction: The system integrates the risk coefficients of the three sub-modules based on configurable weights W1, W2, and W3, where W1 + W2 + W3 = 1. According to the formula: "Comprehensive Risk Index = W1 * Meteorological Risk Coefficient + W2 * Vehicle Combination Risk Coefficient + W3 * Dynamic Risk Coefficient of Personnel in the Park", the comprehensive risk index is obtained, which serves as the basis for dynamically calculating and recommending the maximum number of hazardous chemical transport vehicles allowed in the park.

[0013] Option 5, which is the preferred option of Option 2, involves the following system judgment logic for cluster alarms in step S5: a: The system automatically retrieves reservation data and extracts the "hazardous chemical number" and "hazardous chemical name" information; b: The system automatically matches the chemical's category, risk level, vapor density, and emergency response requirements based on the built-in "Hazardous Chemicals Risk Knowledge Graph". c: Based on the matched risk attributes, the corresponding set of aggregation judgment parameters is automatically invoked; d: Based on the real-time location data of hazardous chemical transport vehicles, for vehicles that belong to the current trigger judgment rule, dynamically identify the cluster of vehicles formed in space with each vehicle as the center and R as the radius; e: Continuously monitor the duration of the identified cluster of vehicles and set a time threshold based on the actual situation. When the same cluster of vehicles remains in a clustered state for a longer period than the threshold, the system considers it to constitute a valid "risk clustering event". f: When a group of vehicles are transporting multiple different hazardous chemicals, the park management personnel will determine the risk level of the types of hazardous chemicals transported by the grouped vehicles and associate them with a pre-set, independent grouping judgment rule library. g: If the system detects a hazardous chemical with a risk level significantly higher than other categories, it will automatically upgrade the judgment rule corresponding to the highest risk category to the initial benchmark for the overall monitoring of the current area. h: Once any single category aggregation rule is fully satisfied, the system will immediately trigger a comprehensive aggregation alarm.

[0014] Option 6, which is an optimal choice of Option 5, uses parallel computing to determine the aggregation rules. It simultaneously runs the independent aggregation determination rules for all hazardous chemicals in the area. Each rule is a logical criterion containing the following three key dimensions: the minimum number of vehicles of the same type, the maximum allowable distance between vehicles, and the shortest time that the aggregation state must be maintained. Only when the above three conditions are met simultaneously for a certain type of hazardous chemical is it considered to have triggered the independent alarm condition for that type of hazardous chemical. Attached Figure Description

[0015] Figure 1 This is a system framework diagram of a closed-loop management system and method for hazardous chemical vehicles in a chemical industrial park, as described in this invention. Figure 2 This is a flowchart illustrating a closed-loop management system and method for hazardous chemical vehicles in a chemical industrial park, as per the present invention. Detailed Implementation

[0016] The present invention will be further described in detail below through specific embodiments: Example 1 like Figure 1 As shown: A closed-loop management system for hazardous chemical vehicles in a chemical industrial park includes a location tracking module, a risk assessment module, and a clustering early warning module. Specific details are as follows: The positioning and tracking module integrates a GPS / BeiDou dual-mode positioning unit and a wireless communication unit to obtain the location information of hazardous chemical vehicles in real time, and transmits the data to the management platform through the wireless communication unit to ensure that managers can keep track of the vehicle's dynamics at any time. The risk assessment module integrates the meteorological condition risk sub-module, the hazardous chemical vehicle information risk sub-module, and the on-site personnel dynamic risk sub-module. By comprehensively analyzing meteorological data, vehicle information, and on-site personnel dynamics, it conducts real-time assessment of the safety risks of hazardous chemical vehicles within the park, providing managers with a scientific and reasonable basis for decision-making. The crowding warning module integrates vehicle reservation information, real-time vehicle location data, and geographic information system to build a full-time, full-area monitoring network for the behavior of hazardous chemical transport vehicles in public areas within the park. When a clustering phenomenon of vehicles is detected in a specific area, the system will immediately trigger the warning mechanism and send the warning information to the management personnel in a timely manner through the wireless communication unit so that diversion measures can be taken quickly and potential safety accidents can be effectively prevented.

[0017] The implementation method of this embodiment is as follows: First, all hazardous chemical vehicles entering the park should be equipped with or compatible with standard-compliant intelligent vehicle terminals. The terminals should integrate GPS+Beidou dual-mode high-precision positioning units, 4G / 5G wireless communication units, and have reliable power supply and explosion-proof certification to ensure stable and high-speed wireless communication network coverage throughout the park for real-time data transmission between vehicles and the management platform. Servers, storage devices, and network security devices should be deployed to provide an operating environment for the management platform.

[0018] Next, the location tracking module, risk assessment module, and clustering early warning module were developed in sequence.

[0019] 1. Location Tracking Module: Develop a data receiving service to parse and process location data from vehicle terminals in real time. Implement functions such as real-time vehicle location display, historical trajectory playback, and electronic fence setting on a GIS map. Design a vehicle information database to bind information such as license plate, company, type of transported goods, and hazard level.

[0020] 2. Risk Assessment Module: The meteorological conditions risk submodule integrates real-time wind speed, wind direction, temperature, humidity, and rainfall data from the local meteorological bureau or park meteorological station, setting risk thresholds. The vehicle information risk submodule constructs a risk rating model based on information from the vehicle's hazardous materials safety data sheet, load capacity, and vehicle condition. The on-site personnel dynamic risk submodule integrates data from the park's personnel positioning system or key area video surveillance information, analyzes densely populated areas, and assesses the cross-risk between vehicle routes and personnel activities. An algorithm model is built to perform real-time comprehensive analysis of the above multi-source data, dynamically calculating the risk index for each vehicle or specific area, and displaying the results visually on the platform.

[0021] 3. Crowding Warning Module: Integrates vehicle reservation information with real-time location data, develops spatial analysis algorithms based on GIS, and monitors the distribution density and dwell time of vehicles in public areas such as road intersections, queuing areas, and parking lots in real time. Defines quantitative standards for "crowding". Once triggered, the system automatically generates a warning and sends the warning information to relevant management personnel in real time through platform pop-ups, audio and visual prompts, SMS / APP push notifications, etc.

[0022] Finally, the three modules are integrated into a unified management platform to achieve data sharing and linkage. It also integrates with the park's access control and emergency systems to enable vehicle reservation verification, automatic release, and auxiliary traffic management during warnings. Management personnel can monitor vehicle dynamics at any time through the platform's large screen or mobile terminal, receive and handle various warnings, forming a closed-loop management system of "monitoring-warning-handling-feedback." Vehicle operation data, risk events, and warning records are regularly archived for post-event tracing, responsibility determination, and data analysis to optimize park traffic planning and safety management systems. Hardware terminals, communication networks, and software platforms are regularly maintained, and system functions are upgraded according to technological advancements and changing needs.

[0023] Example 2 like Figure 2 The following is a method for closed-loop management of hazardous chemical vehicles in a chemical industrial park, comprising the following steps: S1: Visiting vehicles fill in the license plate number, type of hazardous chemicals, entry time, and visiting company information in the mini-program, submit the reservation application, and generate a reservation voucher after review and approval by the park management personnel; S2: Upon arrival of the vehicle, the visitor will receive a positioning card based on the reservation voucher and bind it to the vehicle. The positioning card will then be activated and upload its initial location to the system. S3: After a vehicle enters the park, the positioning card collects the vehicle's location data in real time and uploads it to the system backend. The positioning accuracy of the positioning card is ≤3m and the upload frequency is ≤5s / time. S4: The system combines real-time weather data, vehicle reservation information, and park personnel distribution to construct a comprehensive risk index. Based on this index, it dynamically calculates and recommends the maximum number of hazardous chemical transport vehicles allowed in the park. The specific method for constructing the risk index is as follows: Meteorological conditions: a: Real-time access to authoritative meteorological data, including but not limited to wind speed, wind direction, precipitation, humidity, visibility, and severe weather warnings; b: The system identifies high and low risk meteorological conditions, classifying "sunny, windless, and high visibility" as low-risk conditions and "strong winds, heavy rain, low visibility, and severe weather warnings" as high-risk conditions, and assigns corresponding meteorological risk coefficients to different meteorological conditions; Hazardous materials vehicle information: a: Classify hazardous materials according to their inherent risk levels based on national standards and assign risk weights; b: Collect information on the type, quantity, weight, physicochemical properties, and hazard level of the hazardous materials carried by the vehicles; c: Assess the potential risk synergy effect of the current reserved vehicle combination within the park, based on the actual area of ​​the park, functional zone division, and distribution of sensitive targets; d: Output the risk coefficient of the reserved vehicle combination and reflect the static and potential dynamic risks of the hazardous materials planned to enter the park. Personnel dynamics in the park: a: Real-time acquisition of the number and distribution area information of personnel in the park through the personnel positioning system in the park; b: Setting a basic risk value based on the general number of personnel in the park, dividing different risk area levels according to the population density of different areas, and calculating the dynamic risk coefficient of personnel in the park in combination with the number of personnel. Construction of comprehensive risk index: The system integrates the risk coefficients of the three sub-modules according to the configurable weights W1, W2, and W3, where W1+W2+W3=1. According to the formula: "Comprehensive risk index = W1*meteorological risk coefficient + W2*vehicle combination risk coefficient + W3*dynamic risk coefficient of personnel in the park", the comprehensive risk index is obtained, which serves as the basis for dynamically calculating and recommending the maximum number of hazardous chemical transport vehicles allowed in the park. S5: Based on the real-time vehicle location information uploaded by the positioning card and the calculated maximum number of vehicles allowed in the park, determine whether there is a clustering of vehicles in the area. If the number of vehicles parked in a certain area reaches the limit, the system triggers a clustering alarm and notifies the management personnel and drivers via a pop-up window on the central control screen and SMS. If no clustering is detected, no alarm is triggered. The system's logic for determining the clustering alarm is as follows: a: The system automatically retrieves reservation data and extracts the "hazardous chemical number" and "hazardous chemical name" information; b: The system automatically matches the chemical's category, risk level, vapor density, and emergency response requirements based on the built-in "Hazardous Chemicals Risk Knowledge Graph". c: Based on the matched risk attributes, the corresponding set of aggregation judgment parameters is automatically invoked; d: Based on the real-time location data of hazardous chemical transport vehicles, for vehicles that belong to the current trigger judgment rule, dynamically identify the cluster of vehicles formed in space with each vehicle as the center and R as the radius; e: Continuously monitor the duration of the identified cluster of vehicles and set a time threshold based on the actual situation. When the same cluster of vehicles remains in a clustered state for a longer period than the threshold, the system considers it to constitute a valid "risk clustering event". f: When a group of vehicles are transporting multiple different hazardous chemicals, the park management personnel will determine the risk level of the types of hazardous chemicals transported by the grouped vehicles and associate them with a pre-set, independent grouping judgment rule library. g: If the system detects a hazardous chemical with a risk level significantly higher than other categories, it will automatically upgrade the judgment rule corresponding to the highest risk category to the initial benchmark for the overall monitoring of the current area. The system uses parallel computing to judge the aggregation rules, and simultaneously runs the independent aggregation judgment rules for all hazardous chemicals in the area. Each rule is a logical criterion containing the following three key dimensions: the minimum number of vehicles of the same category, the maximum allowable distance between vehicles, and the shortest time that the aggregation state must be maintained. Only when the above three conditions are met simultaneously for a certain category is it considered that the independent alarm condition for that category has been triggered. h: Once any single category aggregation rule is fully satisfied, the system will immediately trigger a comprehensive aggregation alarm; S6: After the system detects that the vehicles have left the area, the crowding status will be automatically lifted and the alarm will be automatically terminated. S7: When a visiting vehicle needs to leave the park, the system automatically verifies the consistency between the license plate number and the positioning card code. If they match, the positioning card is retrieved and the vehicle information is unbound. If they do not match, the vehicle is prohibited from leaving the park.

[0024] The implementation method of this embodiment is as follows: Vehicles must submit a detailed reservation application for park entry in advance through a designated WeChat mini-program. This application must include the vehicle's license plate number, the type of hazardous chemicals being transported, the planned entry time, and information about the company / loading / unloading unit being visited. After submission, the application will be reviewed by park management personnel. Once approved, the system will automatically generate an electronic reservation voucher, which serves as the vehicle's entry permit. Upon arrival at the park entrance, the driver presents the reservation voucher. After verification by gate management personnel, a location card will be issued to the vehicle. The system will then bind the location card's code to the vehicle and its reservation information. Once bound, the location card will activate and upload its initial location information, signifying the vehicle's official entry into the park's closed management area.

[0025] While vehicles are driving and operating within the park, their onboard GPS tags continuously collect geographical location data with a high precision of ≤3m and a high frequency of 5s / time. This data is then transmitted in real-time to the system backend via a wireless network, enabling the management platform to track the precise trajectory and parking location of each hazardous materials transport vehicle in real time. Simultaneously, the system backend performs a dynamic risk assessment, with a risk coefficient ranging from 0 to 1; a higher value indicates a higher risk.

[0026] (1) Meteorological risk calculation: The system integrates real-time data from authoritative meteorological departments to obtain key indicators such as wind speed, precipitation, and visibility. The calculation process adopts a hierarchical quantification and weighted summation method, and sets a risk level and corresponding score for each indicator: Wind speed: <5 (0 points), 5-6 (1 point), 7-8 (2 points), ≥9 (3 points); Visibility: >1km (0 points), 500m-1km (1 point), <500m (2 points); Disaster warning: No warning (0 points), blue / yellow warning (1 point), orange warning (2 points), red warning (3 points).

[0027] Real-time data is mapped to scores for various indicators: current wind speed 7 (2 points), visibility 800 meters (1 point), yellow alert issued (1 point), no precipitation (0 points), normal humidity (0 points). Weights are assigned to each indicator: wind speed 0.3, alert weight 0.4, visibility weight 0.2, others 0.1. The weighted total score is calculated as: 2*0.3 + 1*0.4 + 1*0.2 + 0*0.1 = 1.2. This total score is then divided by the theoretical maximum score of 3 points and normalized to obtain the current meteorological risk coefficient: 1.2 / 3 = 0.4.

[0028] (2) Calculation of vehicle combination risk coefficient: Based on standards such as the "List of Dangerous Goods", an inherent risk benchmark score (Ri) is set for each class of hazardous chemicals, ranging from 1 to 10; the benchmark score is adjusted according to the vehicle load capacity, based on the formula: Individual vehicle risk value = Ri * log 10 (Load capacity +1) The vehicle is a tanker truck carrying 15 tons of flammable liquid (Ri=6), so its individual risk value is calculated as: 6*log 10 (15+1)≈6*1.204=7.22.

[0029] On the GIS map, unloading areas, tank areas, pipe corridor intersections, and energy stations are designated as "sensitive areas," with a risk impact radius of R=300 meters. The system scans in real time, identifying all hazardous chemical vehicles within a 300-meter radius of the center of each sensitive area as a "temporary risk unit." Then, a "cluster risk multiplier" is introduced to calculate the risk value, based on the formula: Regional cumulative risk value = (sum of individual risk values ​​of all vehicles in the region) * [1 + 0.2 * (number of clustered vehicles - 1)] Here, 0.2 is the clustering effect coefficient, which means that for every additional vehicle clustered together, the overall risk increases by 20%.

[0030] Within a 300-meter radius of a tank storage area, three vehicles are clustered: vehicle A carries flammable liquid with an individual risk value of 7.22, vehicle B carries toxic substances with an individual risk value of 8.50, and vehicle C carries corrosive substances with an individual risk value of 4.00. Therefore, the cumulative risk value of this area is (7.22 + 8.50 + 4.00) * [1 + 0.2 * (3 - 1)] = 27.61. Summing the "regional cumulative risk values" calculated for all sensitive areas within the park yields a total global vehicle risk value of 1250. A very high risk threshold of 2000, derived from the park's maximum design safety capacity, is set for this total value. Then, the vehicle combination risk coefficient is calculated using the formula: Vehicle portfolio risk coefficient = min(a,b) = min(total global vehicle risk / extremely high risk threshold,1) = min(1250 / 2000,1) = 0.625 (3) Calculation of dynamic risk coefficient for personnel in the park: The park is divided into areas with different risk levels and assigned a basic risk value (Bi): core production unit area (Bi=0.8), general loading and unloading area (Bi=0.5), main road (Bi=0.3), and office area (Bi=0.1). The real-time number of people (Ni) and the maximum allowable number of people (Mi) in each area are obtained. The risk contribution value is calculated by area according to the formula: Contribution value = Bi * (Ni / Mi) The sum of the contribution values ​​of all regions is 2.1, and the sum of the basic risk values ​​of the entire park is 5. Dividing this sum by the sum of the basic risk values ​​of the entire park and normalizing it, we get the dynamic risk coefficient of the personnel in the park: 2.1 / 5 = 0.42.

[0031] (4) Synchronous adjustment of the integrated risk index and capacity control: Substitute the meteorological risk coefficient of 0.40, the vehicle combination risk coefficient of 0.625, the dynamic risk coefficient of on-site personnel of 0.42, and the weights W1:0.4, W2:0.4, and W3:0.2 into the integrated risk index formula: The overall risk index = 0.4 * 0.40 + 0.4 * 0.625 + 0.2 * 0.42 = 0.16 + 0.25 + 0.084 = 0.494 If the preset maximum allowed number of vehicles in the park is N_base=20, then the current recommended maximum number of vehicles allowed is: N_base * (1 - Comprehensive Risk Index) = 20 * (1 - 0.494) = 10.12 ≈ 10 vehicles Through the specific calculations described above, the system can clearly determine that, under a comprehensive risk index of 0.494, the total number of hazardous chemical vehicles in the park should be dynamically controlled to below 10 in real time. This result will serve as a hard constraint and will be automatically fed back to the park entry review system. If the number of reserved or parked vehicles approaches this threshold, the system will automatically trigger an alert and restrict new high-risk vehicles from entering the park, thereby achieving data-driven and precisely quantified risk capacity management.

[0032] Based on the aforementioned real-time location data and dynamic vehicle capacity, the system's core clustering early warning module began operation. At this time, there were actually 8 vehicles in the park, and the global status bar on the monitoring screen displayed a capacity indicator of "8 / 10". At 10:20, the system detected through location data that 4 hazardous chemical transport vehicles were moving at low speed and stopping successively within a 30-meter radius on the road near the A-3 tank area. The system immediately initiated the judgment process: the system performed dynamic clustering analysis centered on these 4 vehicles, confirming that they formed a stable spatial cluster. Then, through the "Hazardous Chemicals Risk Knowledge Graph", it automatically associated the reservation information and identified that these 4 vehicles were all transporting "flammable liquids". At this time, the system automatically retrieved the clustering judgment rule for "flammable liquids": "≥3 vehicles of the same type, distance between them <50 meters, and duration >5 minutes". After real-time comparison, the current number of clustered vehicles was 4, the maximum distance between them was 35 meters, and both met the rule conditions. The system began continuous timed monitoring. At 10:25, the aggregation state had lasted for 5 minutes, fully triggering the independent alarm conditions for "flammable liquids." The system immediately determined it to be a high-risk aggregation event and triggered alarms from multiple dimensions: (1) Since the number of vehicles in the park has reached 8 and a gathering has occurred, the system judges that the overall risk has increased and immediately locks the vehicle entry reservation review channels at entrances 1 and 2 of the park to prevent new vehicles from entering. A global alarm with a red flashing "High-risk gathering warning | Park entry channel locked" appears at the top of the management platform.

[0033] (2) A pop-up window on the central control room displays the location of the incident, “East side road of A-3 tank area”, the license plate numbers of the four vehicles involved, their respective companies, the names of the hazardous chemicals and key information of the hazardous chemical safety data sheet, and automatically generates suggested evacuation routes, guiding two of the vehicles to wait in the backup buffer zone 300 meters away.

[0034] (3) The safety supervisor and the nearest inspector's smart inspection APP simultaneously receive push notifications and voice prompts, and mark the event point on the map.

[0035] (4) The mobile phones of the four drivers involved received the same warning text message at 10:26: "[Park Safety Alert] There is a gathering of vehicles in your A-3 area. Please follow the dispatch immediately and evacuate safely."

[0036] At 10:32, two of the vehicles left to the backup buffer zone via the recommended route, and the cluster dispersed. The system monitored the area in real time and found that the vehicle density had returned to normal, and no new clusters formed for one minute. The clustering alarm was then automatically deactivated.

[0037] At 10:50, one of the vehicles involved, which had completed loading and unloading, arrived at the exit. The gate system automatically recognized the license plate and compared it with the information on the vehicle's GPS tracking card; the verification was successful. The system completed the verification, and the vehicle counter in the park updated from "8" to "7" in real time. After the management personnel retrieved the GPS tracking card, the vehicle was allowed to pass. As the number of vehicles in the park dropped to 7, below the threshold of 10, and with no other alarms, the system automatically unlocked the entrance channel at 10:52, resumed reservation verification, and allowed the next reserved vehicle to enter, thus dynamically releasing the "risk capacity."

[0038] The above descriptions are merely embodiments of the present invention, and common knowledge regarding specific structures and characteristics is not elaborated upon here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the structure of the present invention, and these should also be considered within the scope of protection of the present invention. These modifications and improvements will not affect the effectiveness of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A closed-loop management system for hazardous chemical vehicles in a chemical industrial park, characterized in that, It includes a location tracking module, a risk assessment module, and a clustering early warning module, the details of which are as follows: The positioning and tracking module integrates a GPS / BeiDou dual-mode positioning unit and a wireless communication unit to obtain the location information of hazardous chemical vehicles in real time, and transmits the data to the management platform through the wireless communication unit to ensure that managers can keep track of the vehicle's dynamics at any time. The risk assessment module integrates the meteorological condition risk sub-module, the hazardous chemical vehicle information risk sub-module, and the on-site personnel dynamic risk sub-module. By comprehensively analyzing meteorological data, vehicle information, and on-site personnel dynamics, it conducts real-time assessment of the safety risks of hazardous chemical vehicles within the park, providing managers with a scientific and reasonable basis for decision-making. The crowding warning module integrates vehicle reservation information, real-time vehicle location data, and geographic information system to build a full-time, full-area monitoring network for the behavior of hazardous chemical transport vehicles in public areas within the park. When a clustering phenomenon of vehicles is detected in a specific area, the system will immediately trigger the warning mechanism and send the warning information to the management personnel in a timely manner through the wireless communication unit so that diversion measures can be taken quickly and potential safety accidents can be effectively prevented.

2. A method for closed-loop management of hazardous chemical vehicles in a chemical industrial park, characterized in that, Includes the following steps: S1: Visiting vehicles fill in the license plate number, type of hazardous chemicals, entry time, and visiting company information in the mini-program, submit the reservation application, and generate a reservation voucher after review and approval by the park management personnel; S2: Upon arrival of the vehicle, the visitor will receive a positioning card based on the reservation voucher and bind it to the vehicle. The positioning card will then be activated and upload its initial location to the system. S3: After a vehicle enters the park, the positioning card collects the vehicle's location data in real time and uploads it to the system backend; S4: The system combines real-time weather data, vehicle reservation information, and the distribution of people in the park to construct a comprehensive risk index, and dynamically calculates and recommends the maximum number of hazardous chemical transport vehicles allowed in the park based on this index. S5: Based on the real-time vehicle location information uploaded by the positioning card and the calculated maximum number of vehicles allowed in the park, determine whether there is a clustering of vehicles in the area. If the number of vehicles parked in a certain area reaches the limit, the system will trigger a clustering alarm and notify the management personnel and drivers through a pop-up window on the central control screen and SMS. If no clustering of vehicles is detected, no alarm will be triggered. S6: After the system detects that the vehicles have left the area, the crowding status will be automatically lifted and the alarm will be automatically terminated. S7: When a visiting vehicle needs to leave the park, the system automatically verifies the consistency between the license plate number and the positioning card code. If they match, the positioning card is retrieved and the vehicle information is unbound. If they do not match, the vehicle is prohibited from leaving the park.

3. The closed-loop management method for hazardous chemical vehicles in a chemical industrial park according to claim 2, characterized in that, In step S3, the positioning accuracy of the positioning card is ≤3m, and the upload frequency is ≤5s / time.

4. The closed-loop management method for hazardous chemical vehicles in a chemical industrial park according to claim 2, characterized in that, In step S4, a risk index is constructed based on the meteorological condition risk submodule, the hazardous chemical vehicle information risk submodule, and the on-site personnel dynamic risk submodule. The specific implementation method is as follows: Meteorological conditions: a: Real-time access to authoritative meteorological data, including but not limited to wind speed, wind direction, precipitation, humidity, visibility, and severe weather warnings; b: The system identifies high and low risk meteorological conditions, classifying "sunny, windless, and high visibility" as low-risk conditions and "strong winds, heavy rain, low visibility, and severe weather warnings" as high-risk conditions, and assigns corresponding meteorological risk coefficients to different meteorological conditions; Hazardous materials vehicle information: a: Classify hazardous materials according to their inherent risk levels based on national standards and assign risk weights; b: Collect information on the type, quantity, weight, physicochemical properties, and hazard level of the hazardous materials carried by the vehicles; c: Assess the potential risk synergy effect of the current reserved vehicle combination within the park, based on the actual area of ​​the park, functional zone division, and distribution of sensitive targets; d: Output the risk coefficient of the reserved vehicle combination and reflect the static and potential dynamic risks of the hazardous materials planned to enter the park. Personnel dynamics in the park: a: Real-time acquisition of the number and distribution area information of personnel in the park through the personnel positioning system in the park; b: Setting a basic risk value based on the general number of personnel in the park, dividing different risk area levels according to the population density of different areas, and calculating the dynamic risk coefficient of personnel in the park in combination with the number of personnel. Comprehensive Risk Index Construction: The system integrates the risk coefficients of three sub-modules based on configurable weights W1, W2, and W3, where W1 + W2 + W3 = 1. According to the formula: "Comprehensive Risk Index = W1 * Meteorological Risk Coefficient + W2 * Vehicle Combination Risk Coefficient + W3 * Dynamic Risk Coefficient of Personnel in the Park", the comprehensive risk index is obtained, which serves as the basis for dynamically calculating and recommending the maximum number of hazardous chemical transport vehicles allowed in the park.

5. A closed-loop management method for hazardous chemical vehicles in a chemical industrial park according to claim 2, characterized in that, In step S5, the system judgment logic for cluster alarms is as follows: a: The system automatically retrieves reservation data and extracts the "hazardous chemical number" and "hazardous chemical name" information; b: The system automatically matches the chemical's category, risk level, vapor density, and emergency response requirements based on the built-in "Hazardous Chemicals Risk Knowledge Graph". c: Based on the matched risk attributes, the corresponding set of aggregation judgment parameters is automatically invoked; d: Based on the real-time location data of hazardous chemical transport vehicles, for vehicles that belong to the current trigger judgment rule, dynamically identify the cluster of vehicles formed in space with each vehicle as the center and R as the radius; e: Continuously monitor the duration of the identified cluster of vehicles and set a time threshold based on the actual situation. When the same cluster of vehicles remains in a clustered state for a longer period than the threshold, the system considers it to constitute a valid "risk clustering event". f: When a group of vehicles are transporting multiple different hazardous chemicals, the park management personnel will determine the risk level of the types of hazardous chemicals transported by the grouped vehicles and associate them with a pre-set, independent grouping judgment rule library. g: If the system detects a hazardous chemical with a risk level significantly higher than other categories, it will automatically upgrade the judgment rule corresponding to the highest risk category to the initial benchmark for the overall monitoring of the current area. h: Once any single category aggregation rule is fully satisfied, the system will immediately trigger a comprehensive aggregation alarm.

6. A closed-loop management method for hazardous chemical vehicles in a chemical industrial park according to claim 5, characterized in that, The system uses parallel computing to determine the aggregation rules, and simultaneously runs the independent aggregation determination rules for all hazardous chemicals in the area. Each rule is a logical criterion containing the following three key dimensions: the minimum number of vehicles of the same type, the maximum allowable distance between vehicles, and the shortest time that the aggregation state must be maintained. Only when the above three conditions are met simultaneously for a certain type of hazardous chemical is it considered to have triggered the independent alarm condition for that type of hazardous chemical.

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