CN-121599815-B - Dangerous chemical vehicle risk early warning method and system for road side unit

CN121599815BCN 121599815 BCN121599815 BCN 121599815BCN-121599815-B

Abstract

The application relates to the technical field of intelligent traffic safety, in particular to a dangerous chemical vehicle risk early warning method and system for a road side unit. The method comprises the steps of obtaining a multi-dimensional real-time sensing data set, constructing a five-dimensional comparison model of a vehicle-tank-goods-certificate-road of a current dangerous chemical vehicle based on the multi-dimensional real-time sensing data set to obtain a vehicle state characteristic information set, analyzing dynamic evolution information of illegal tank refitting, material inconsistency and abnormal waybill information based on the vehicle state characteristic information set to obtain a vehicle on-road running risk map, dynamically generating a hierarchical early warning plan facing a supervision platform based on the vehicle on-road running risk map, and outputting a dangerous chemical vehicle risk early warning log. The potential safety hazard in the process of transporting dangerous chemicals is practically reduced, and the influences of the problems of vehicle faults, cargo leakage and the like on the safety of personnel along the transportation line and the surrounding environment are reduced.

Inventors

CAI SI
WU YOU

Assignees

成都佳诚弘毅科技股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260128

Claims (8)

1. The dangerous chemical vehicle risk early warning method for the road side unit is characterized by comprising the following steps of: Acquiring a multi-dimensional real-time sensing data set, and constructing a five-dimensional comparison model of a vehicle-tank-goods-certificate-road of a current dangerous chemical vehicle based on the multi-dimensional real-time sensing data set to obtain a vehicle state characteristic information set; Based on the vehicle state characteristic information set, analyzing dynamic evolution information of illegal modification, material inconsistency and waybill information abnormality of the tank body to obtain a vehicle in-transit operation risk map; Dynamically generating a hierarchical early warning plan oriented to a supervision platform based on the in-transit running risk map of the vehicle, and outputting a risk early warning log of the dangerous chemical vehicle; the five-dimensional comparison model comprises: The five-dimensional comparison model is used for respectively establishing a mapping comparison relation between a standardized feature library of vehicle dimension information, tank dimension information, cargo dimension information, certificate dimension information and road dimension information and real-time perception data aiming at the current dangerous chemical vehicle; the comparison of the vehicle dimension information is used for verifying compliance of vehicle identity, vehicle type and verification loading information; the comparison of the dimension information of the tank body is used for verifying the consistency of the tank body identification, the volume, the design pressure and the material and the permission information; the comparison of the cargo dimension information is used for verifying the matching of the types and the quantity of dangerous chemicals specified by the freight bill, the allowable transportation range and the actual loading state; The comparison of the certificate dimension information is used for verifying the validity and compliance of drivers and escort personnel from the qualification certificates and the vehicle transportation license; the comparison of the road dimension information is used for verifying the coincidence of the real-time position, the running track, the limited area, the recommended route and the road traffic condition of the vehicle; based on the vehicle state characteristic information set, analyzing dynamic evolution information of illegal modification, inconsistent materials and abnormal waybill information of the tank body to obtain a vehicle on-the-way operation risk map, comprising: based on the tank dimension information and the road dimension information, combining the vehicle dimension information, analyzing coupling effect information of tank liquid shaking frequency and tank structure resonance characteristics of dangerous chemical vehicles in the roadside driving process; according to the coupling effect information, analyzing the dynamic fatigue influence of the liquid shaking load on the weak points of the welding line or the material of the potential illegal modification in the running process of the dangerous chemical vehicle; based on the dynamic fatigue influence, correlating the change of cargo properties in the cargo dimension information, and analyzing the risk amplification trend under the abnormal condition of the waybill information; And generating a vehicle in-transit operation risk map for identifying a risk evolution key node and a coupling path based on the dynamic fatigue influence and the risk amplification trend.
2. The method according to claim 1, wherein constructing a five-dimensional comparison model of a vehicle-tank-cargo-license-road of a current hazardous chemical vehicle based on the multi-dimensional real-time perception dataset, to obtain a vehicle state feature information set, comprises: The multi-dimensional real-time perception data set comprises vehicle running state, tank safety state, cargo compliance, certificate validity and road environment information; Based on the multi-dimensional real-time perception data set, according to dangerous chemical vehicle standard rule information, respectively and real-time comparing and logic independently of vehicle dimension information, tank dimension information, cargo dimension information, certificate dimension information and road dimension information, constructing the five-dimensional comparison model, and obtaining the vehicle state characteristic information set; the vehicle state characteristic information set is a comprehensive characteristic vector obtained by performing association fusion on the compared vehicle dimension information, the tank dimension information, the goods dimension information, the certificate dimension information and the road dimension information.
3. The method according to claim 2, wherein the process of constructing the coupling effect information comprises: based on the road dimension information and the tank dimension information, and combining the cargo dimension information, analyzing the liquid sloshing frequency in the tank excited by the running road condition and the vehicle movement to obtain the dynamic liquid sloshing frequency; based on the dynamic liquid shaking frequency, analyzing dominant vibration forms and natural frequencies of a tank structure in a frequency band corresponding to the dynamic liquid shaking frequency by combining the vehicle dimension information to obtain tank vibration characteristics; And analyzing a load-structure energy transfer and amplification mechanism caused by the shaking frequency between the dynamic liquid shaking frequency and the tank body vibration characteristic based on the dynamic liquid shaking frequency to obtain the coupling effect information.
4. A method according to claim 3, wherein the dynamic fatigue effect building process comprises: Based on the coupling effect information, analyzing periodic alternating stress characteristics born by a welding line area or a material weak point of potential illegal modification on the tank body under the actions of the energy transfer and the amplification mechanism between a load and a structure caused by shaking frequency by combining with the tank body dimension information; Analyzing a sequential accumulation process of microscopic damage caused by the alternating stress to the welding seam area or the material weak point in the continuous running process of the dangerous chemical vehicle based on the periodic alternating stress characteristics; And analyzing the evolution rule that the load resistance of the local structure of the tank body decreases along with the increase of the running time or mileage based on the microscopic damage successive accumulation process, so as to obtain the dynamic fatigue influence.
5. The method of claim 4, wherein the risk amplification trend building process comprises: based on the evolution rule, according to the change of the cargo viscosity in the cargo dimension information, analyzing the differential amplification effect of different cargo viscosities on the periodic alternating stress characteristic to obtain a viscosity-stress correlation characteristic; Based on the viscosity-stress correlation characteristics, analyzing a nonlinear acceleration mechanism of the microscopic damage successive accumulation process when the actual loading information of the dangerous chemical vehicle goods is inconsistent with the declaration information, and obtaining abnormal-damage coupling information; And analyzing a risk evolution path of the tank structure reaching a critical failure state faster due to the nonlinear acceleration mechanism under the same driving condition based on the abnormal-damage coupling information to obtain the risk amplification trend.
6. The method of claim 5, wherein the vehicle in-transit run risk map construction process includes: Analyzing and positioning the moment of transition from a stable state to a failure state in the evolution law according to the evolution law of the tank structure strength decrease revealed by the dynamic fatigue influence, and obtaining a risk evolution key node representing a risk mutation starting point; Analyzing the influence of the nonlinear acceleration mechanism on duration time of different stages in the evolution rule and the resulting change of conduction paths among different risk nodes according to the nonlinear acceleration mechanism revealed by the risk amplification trend, so as to obtain dynamic coupling paths among the risk nodes; Based on the risk evolution key nodes, combining the dynamic coupling paths, carrying out space-time superposition on time information representing the starting point of the risk mutation and path information reflecting the risk conduction relation, and generating the vehicle on-road running risk map for dynamically describing the whole process of risk from origin and conduction to final evolution.
7. The method of claim 6, wherein dynamically generating a hierarchical early warning plan for a supervisory platform based on the in-transit run risk profile of the vehicle and outputting a hazardous chemical vehicle risk early warning log comprises: Based on the risk evolution key nodes, analyzing the severity and evolution urgency of the tank body structural damage or the waybill abnormality risk represented by each risk evolution key node at the current moment to obtain risk grade information; Based on the risk level information, combining the dynamic coupling paths, analyzing the possibility and influence range of conducting risks of different levels to adjacent risk evolution key nodes or final failure states along the dynamic coupling paths, and obtaining early warning types to be triggered; Based on the early warning type, a preset treatment rule base is dynamically matched, a hierarchical early warning plan comprising risk positioning, treatment suggestions and response aging requirements is generated, and a dangerous chemical vehicle risk early warning log integrating the risk level information, the early warning type and plan details is output.
8. A hazardous chemical vehicle risk pre-warning system for a roadside unit, applied to the method of any one of claims 1 to 7, comprising: The state characteristic module is used for acquiring a multi-dimensional real-time sensing data set, and constructing a five-dimensional comparison model of a vehicle-tank-goods-certificate-road of the current dangerous chemical vehicle based on the multi-dimensional real-time sensing data set to obtain a vehicle state characteristic information set; The running risk module is used for analyzing the dynamic evolution information of illegal modification, material inconsistency and ticket information abnormality of the tank body based on the vehicle state characteristic information set to obtain a vehicle running risk map; And the risk early warning module is used for dynamically generating a hierarchical early warning plan facing the supervision platform based on the in-transit running risk map of the vehicle and outputting a risk early warning log of the dangerous chemical vehicle.

Description

Dangerous chemical vehicle risk early warning method and system for road side unit Technical Field The application relates to the technical field of intelligent traffic safety, in particular to a dangerous chemical vehicle risk early warning method and system for a road side unit. Background In the dangerous chemical road transportation supervision process, factors such as vehicle state, tank safety, cargo compliance, freight bill authenticity, driving road condition and the like affect the dynamic change of transportation risk together, have key effects on road traffic safety and emergency prevention and control, and the existing road side monitoring mode is dependent on risk judgment of single dimension or static data, for example, threshold early warning is carried out only on independent indexes such as vehicle speed, tank pressure or certificate validity period. However, in actual running of a vehicle, the risk state is influenced by coupling action of multidimensional factors such as vehicles, tanks, cargoes, certificates, roads and the like, and different vehicle types, cargo attributes and risk evolution paths of tank structures exist, the existing single-dimensional monitoring mode is difficult to adapt to dynamic risk change under the synergistic effect of the multiple factors, so that the composite risk caused by illegal modification of the tank, abnormal freight bill information and coupling of running road conditions cannot be timely identified, further, the situations of risk early warning lag, untimely intervention response and the like occur, the probability of occurrence of road transportation safety accidents is increased, and potential threat is formed to public safety. Disclosure of Invention The application provides a dangerous chemical vehicle risk early warning method and system for a road side unit, which are used for solving the problems. The application provides a dangerous chemical vehicle risk early warning method for a road side unit, which comprises the steps of obtaining a multi-dimensional real-time sensing data set, constructing a five-dimensional comparison model of a vehicle-tank-cargo-evidence-road of a current dangerous chemical vehicle based on the multi-dimensional real-time sensing data set to obtain a vehicle state characteristic information set, analyzing dynamic evolution information of illegal modification of a tank body, material inconsistency and abnormal freight bill information based on the vehicle state characteristic information set to obtain a vehicle on-road running risk map, dynamically generating a classified early warning plan facing a supervision platform based on the vehicle on-road running risk map, and outputting a dangerous chemical vehicle risk early warning log. Through the technical scheme, the five-dimensional comparison model is constructed by utilizing the multi-dimensional real-time sensing data, risks such as illegal modification of the tank body are accurately identified, a risk map is generated by means of dynamic evolution analysis, and then a grading early warning plan is formulated in a targeted manner, so that the problems of difficult risk identification, early warning hysteresis and the like in the existing supervision are effectively solved, the risk identification accuracy and early warning prospective are improved, the supervision resource allocation is optimized, the intelligent and refined level of the dangerous chemical transportation safety supervision is enhanced, the safety accident risk is greatly reduced, the potential safety hazard in the transportation process of dangerous chemicals is practically reduced, and the influence of the problems such as vehicle faults, goods leakage and the like on the safety and the surrounding environment of personnel along the transportation line is reduced. The multi-dimensional real-time perception data set comprises vehicle running state, tank safety state, cargo compliance, certificate validity and road environment information, wherein based on the multi-dimensional real-time perception data set, independent comparison logic of vehicle dimension information, tank dimension information, cargo dimension information, certificate dimension information and road dimension information is respectively constructed in real time according to dangerous chemical vehicle standard rule information, the five-dimensional comparison model is constructed, and the vehicle state characteristic information set is obtained, namely, the vehicle state characteristic information set is a comprehensive characteristic vector obtained after the vehicle dimension information, the tank dimension information, the cargo dimension information, the certificate dimension information and the road dimension information are subjected to correlation fusion. The five-dimensional comparison model is used for respectively establishing mapping comparison relations between standardized feature libraries of the vehicle dimension i