CN113762734A - A method and system for risk assessment of dangerous chemicals vehicles on highways - Google Patents

A method and system for risk assessment of dangerous chemicals vehicles on highways Download PDF

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CN113762734A
CN113762734A CN202110943041.4A CN202110943041A CN113762734A CN 113762734 A CN113762734 A CN 113762734A CN 202110943041 A CN202110943041 A CN 202110943041A CN 113762734 A CN113762734 A CN 113762734A
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时磊
夏晶晶
陆建
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Huaiyin Institute of Technology
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Abstract

本发明公开了一种危化品车辆公路行驶风险评估方法及系统，首先建立危化品车辆公路运输风险评估体系，确定一级评估因子及其所属的二级评估因子；用专家评分法对各因子的危险度进行评分，建立二级评估因子的隶属度风险评判矩阵，并基于评判矩阵建立各级评估因子的风险权重模糊集，基于权重模糊集构建评价模糊集，得出危化品运输风险等级。本发明还公开一种使用上述方法进行危化品运输风险评估的系统，包括风险源信息提取模块、动态评估因素识别模块、数据预处理模块、权重计算模块和行驶风险评估模块。本发明的评估影响因子设置全面，且可根据实际情况添加二级评价因子，灵活性和普适性强，能对事故发生的征兆进行提前预警，降低事故发生的可能性。

Figure 202110943041

The invention discloses a road driving risk assessment method and system for hazardous chemicals vehicles. First, a risk assessment system for road transport of hazardous chemicals vehicles is established, and a primary assessment factor and its associated secondary assessment factor are determined; The risk degree of the factors is scored, the membership risk evaluation matrix of the second-level evaluation factors is established, and the risk weight fuzzy sets of the evaluation factors at all levels are established based on the evaluation matrix. grade. The invention also discloses a system for risk assessment of hazardous chemicals transportation by using the above method, including a risk source information extraction module, a dynamic assessment factor identification module, a data preprocessing module, a weight calculation module and a driving risk assessment module. The evaluation influence factor of the present invention is comprehensively set, and the secondary evaluation factor can be added according to the actual situation.

Figure 202110943041

Description

Dangerous chemical vehicle highway driving risk assessment method and system
Technical Field
The invention relates to a risk assessment method and a risk assessment system, in particular to a method and a system for assessing road driving risk of dangerous chemical vehicles.
Background
Dangerous chemicals as raw materials of daily necessities are often required to be transported in different places, and highways are the main transportation way of dangerous chemical vehicles. The dangerous chemical substance transport vehicle is different from a traditional transport vehicle in that a driver, a dangerous chemical substance vehicle and a road are main risk sources of danger, the consequences of accidents in the transportation process of the dangerous chemical substance vehicle are not considered, even the lives of people are threatened, and the risks existing in the transportation process of the dangerous chemical substance cannot be effectively evaluated and early warned in the prior art. The prior art often only makes the operating mode to a certain line of vehicle and early warning, and is not comprehensive enough, and traditional evaluation scheme only considers accident static factor, can not carry out real-time assessment to the risk in the dangerization article vehicle is traveling.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a dangerous chemical substance vehicle road driving risk assessment method capable of giving early warning for transport accidents.
The technical scheme is as follows: the method for evaluating the road driving risk of the dangerous chemical vehicle comprises the following steps:
(1) establishing a dangerous chemical vehicle road transportation risk assessment system by using an analytic hierarchy process, and determining primary assessment factors and secondary assessment factors under the primary assessment factors;
(2 construction of intermediate Risk set values v expressing evaluation resultskWherein k is 1, 2, 3; score value interval of [0, 1%](ii) a Grading the risk degree of each factor by using an expert grading method;
(3) establishing a second-level factor membership risk evaluation matrix;
(4) establishing a weight fuzzy set of a first-level assessment factor and a second-level assessment factor of dangerous chemical transportation based on an entropy weight method based on a membership degree risk evaluation matrix;
(5) and constructing an evaluation fuzzy set according to the weight fuzzy sets of the first-stage evaluation factors and the second-stage evaluation factors, and carrying out fuzzy evaluation on the two-stage influence factors step by step to obtain the transportation evaluation grade of the hazardous chemical substances.
The primary evaluation factor comprises a driver alpha1Dangerous chemical substance vehicle alpha2And road alpha3。
In the step (3), a primary evaluation factor alphaiMembership risk evaluation matrix corresponding to 1, 2, 3AiIs composed of
Figure BDA0003215609790000011
Wherein ω isijkJ is the membership degree of a secondary evaluation factor pair value interval, i is 1, 2, m; k is 1, 2, 3; the value is calculated as follows:
Figure BDA0003215609790000021
wherein a iss×nThe elements in the fuzzy set which are the secondary evaluation factors are obtained by expert scoring, and the value range is [0, 1%]S is the number of experts, and n is the number of secondary evaluation factors.
The step (4) comprises the following steps:
(41) the risk evaluation matrix AiLinear transformation is carried out to obtain a matrix Bi，BiA single element of
Figure BDA0003215609790000022
The expression is as follows:
Figure BDA0003215609790000023
(42) the entropy value Q of the factor is calculated as followsij：
Figure BDA0003215609790000024
Wherein K is Boltzmann constant;
(43) weight W to the second order evaluation factorijAnd evaluating, wherein the expression is as follows:
Figure BDA0003215609790000025
(44) establishing a second-order factor weight fuzzy set, wherein the expression is as follows:
Figure BDA0003215609790000026
wherein m, n and z represent the weight number of the secondary factor corresponding to each primary factor;
(45) constructing a first-level factor weight fuzzy set, wherein the expression is as follows:
U＝[U1 U2 U3]。
the step (5) comprises the following steps:
(51) first-level evaluation factor alpha is established based on dangerous chemical transportation fuzzy evaluation model1Corresponding secondary evaluation factors alphaijA primary fuzzy evaluation model, the expression of which is as follows:
Figure BDA0003215609790000031
wherein EiRepresenting the weight of each secondary factor under each primary influence factor, i is 1, 2 and 3;
(52) establishing an evaluation model of each secondary factor, wherein the expression is as follows:
Figure BDA0003215609790000032
(53) establishing each first-level influence factor evaluation model, wherein the expression is as follows:
Figure BDA0003215609790000033
wherein E1…；U1 U2 U3Represents the weighted value of each primary evaluation factor, and the sum of the weighted values is 1;
(54) calculating a risk assessment value of a dangerous chemical substance vehicle road transportation evaluation index, and grading a form risk level in a risk degree interval, wherein the risk assessment value is calculated according to the following formula:
Figure BDA0003215609790000034
the dangerous chemical substance vehicle highway form risk assessment system comprises the following modules:
the risk source information extraction module: the method comprises the steps of taking people, vehicles and roads as risk sources, carrying out risk evaluation by an expert evaluation method, storing accident information of each road section as an evaluation fuzzy numerical value of static factors influencing risk evaluation, wherein the static factors comprise dangerous chemical grade, road traffic volume and road curve and are added in real time according to annual accident information; after the running road section of the dangerous chemical substance vehicle is determined, accident information is extracted from a database to obtain the dangerous chemical substance vehicle alpha belonging to the primary evaluation factor2And road alpha3Fuzzy values of the secondary evaluation factor of (1);
the dynamic evaluation factor identification module: in the running process of the dangerous chemical substance vehicle, dynamic factors influencing risk assessment are identified to obtain a driver alpha belonging to a primary assessment factor1Dangerous chemical substance vehicle alpha2Fuzzy values of the secondary evaluation factor of (1);
a data preprocessing module: processing the obtained accident section information to construct a judgment matrix;
a weight calculation module: calculating the weight value of each hazard source by using the constructed evaluation matrix;
a driving risk evaluation module: identifying the risk degree of the comprehensive risk evaluation value, and determining the risk type;
and the modules are in communication connection.
The dynamic evaluation factor recognition module comprises an eyeball motion recognition device for judging whether the driver is tired or not, a gps receiving device for receiving real-time weather change and vehicle running tracks and various vehicle-mounted sensors, and fuzzy numerical values are defined as v when fatigue driving or weather change and illegal driving occur1。
The vehicle-mounted sensor is used for monitoring dangerizationThe risk of the vehicle is determined as v when the dangerous chemical vehicle is judged to be dangerous1。
Has the advantages that: compared with the prior art, the invention has the following remarkable advantages: the evaluation influence factors are set comprehensively, secondary evaluation factors are reserved, secondary evaluation factors can be added according to actual conditions, the evaluation model is high in flexibility and universality, early warning can be performed on the signs of dangerous chemical accidents, and the possibility of accidents is reduced. Compared with the traditional technical scheme only considering the static evaluation factor, the method and the system consider the dynamic evaluation factor at the same time, can carry out risk evaluation in real time during the running process of the hazardous chemical substance vehicle, and improve the safety of the hazardous chemical substance transportation process.
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FIG. 1 is a diagram of a risk assessment system for hazardous chemical transportation according to the present invention;
fig. 2 is a schematic structural diagram of a risk assessment system for hazardous chemical transportation according to the present invention.
Detailed Description
The technical scheme of the invention is further explained by combining the attached drawings.
The system for risk assessment of transportation of hazardous chemical substances is shown in fig. 1, and the assessment method comprises the following steps:
(1) acquiring accident information of road sections, establishing a dangerous chemical vehicle road transportation risk assessment system by using an analytic hierarchy process, and determining primary assessment factors and secondary assessment factors belonging to the primary assessment factors.
The primary evaluation factor includes the driver α1Dangerous chemical substance vehicle alpha2And road alpha3Belonging to the driver alpha1The secondary evaluation factors of (1) comprise fatigue driving, misoperation and illegal driving; belonging to dangerous chemical vehicle alpha2The secondary evaluation factors comprise dangerous chemical grade, poor braking and mechanical partsLoss; belonging to road alpha3The secondary evaluation factors comprise road traffic volume, weather change and road section information; in order to enhance the flexibility of the system, the secondary evaluation factors arranged under each primary evaluation factor can be increased or decreased according to actual requirements.
(2) Analyzing the identified accident information of the road sections, namely the accident occurrence quantity and the economic loss caused by the accident occurrence quantity, grading the risk degree of the accident information by combining an expert grading method, and constructing a risk set v for expressing the evaluation resultkAnd determining the intermediate value, wherein k is 1, 2 and 3, and the score value interval is [0, 1]As shown in the following table:
TABLE 1 Risk identification intervals
Status rating Value interval Median value
v1 Danger of [0.4，1] 0.7
v2 Is safer [0.2，0.4 0.3
v3 Secure [0，0.2 0.1
(3) Establishing a membership degree risk evaluation matrix of the secondary evaluation factor;
the single element in the fuzzy set of each secondary evaluation factor is denoted as as×nThe value is obtained by expert scoring, and the value interval is [0, 1 ]]S is the number of experts, and n is the number of secondary evaluation factors;
calculating the membership degree of each secondary evaluation factor pair value interval, wherein j is 1, 2, m; k is 1, 2, 3; as shown in the following formula:
Figure BDA0003215609790000051
from this, a primary evaluation factor alpha was constructediMembership risk evaluation matrix a corresponding to 1, 2, 3iIs composed of
Figure BDA0003215609790000052
(4) Establishing a weight fuzzy set of a first-level assessment factor and a second-level assessment factor of dangerous chemical transportation based on an entropy weight method based on a membership degree risk evaluation matrix, and specifically comprising the following steps:
(41) the risk evaluation matrix AiLinear transformation is carried out to obtain a matrix Bi，BiA single element of
Figure BDA0003215609790000057
The expression is as follows:
Figure BDA0003215609790000053
(42) the entropy value Q of the factor is calculated as followsij：
Figure BDA0003215609790000054
Wherein K is Boltzmann constant;
(43) weight W to the second order evaluation factorijAnd evaluating, wherein the expression is as follows:
Figure BDA0003215609790000055
(44) establishing a second-order factor weight fuzzy set, wherein the expression is as follows:
Figure BDA0003215609790000056
wherein m, n and z represent the weight number of the secondary factor corresponding to each primary factor;
(45) constructing a first-level factor weight fuzzy set, wherein the expression is as follows:
U＝[U1 U2 U3]。
(5) an evaluation fuzzy set is constructed according to the weight fuzzy sets of the first-stage evaluation factors and the second-stage evaluation factors, the two-stage influence factors are subjected to fuzzy evaluation step by step, and the transportation evaluation grade of the hazardous chemical substances is obtained, and the method specifically comprises the following steps:
(51) first-level evaluation factor alpha is established based on dangerous chemical transportation fuzzy evaluation model1Corresponding secondary evaluation factors alphaijA primary fuzzy evaluation model, the expression of which is as follows:
Figure BDA0003215609790000061
wherein EiRepresenting the weight of each secondary factor under each primary influence factor, i is 1, 2 and 3;
(52) establishing an evaluation model of each secondary factor, wherein the expression is as follows:
Figure BDA0003215609790000062
(53) establishing each first-level influence factor evaluation model, wherein the expression is as follows:
Figure BDA0003215609790000063
wherein E1…；U1 U2 U3Represents the weighted value of each primary evaluation factor, and the sum of the weighted values is 1;
(54) calculating a risk assessment value of a dangerous chemical substance vehicle road transportation evaluation index, and grading a form risk level in a risk degree interval, wherein the risk assessment value is calculated according to the following formula:
Figure BDA0003215609790000064
as shown in fig. 2, the system for assessing the road driving risk of dangerous chemical vehicles according to the present invention includes the following modules:
the risk source information extraction module: the method comprises the steps of taking people, vehicles and roads as risk sources, carrying out risk evaluation by an expert evaluation method, storing accident information of each road section as an evaluation fuzzy numerical value of static factors influencing risk evaluation, wherein the static factors comprise dangerous chemical grade, road traffic volume and road curve and are added in real time according to annual accident information; after the running road section of the dangerous chemical substance vehicle is determined, accident information is extracted from a database to obtain the dangerous chemical substance vehicle alpha belonging to the primary evaluation factor2And road alpha3Fuzzy values of the secondary evaluation factor of (1);
the dynamic evaluation factor identification module: in the running process of the dangerous chemical substance vehicle, dynamic factors influencing risk assessment are identified to obtain a driver alpha belonging to a primary assessment factor1Dangerous chemical substance vehicle alpha2Fuzzy values of the secondary evaluation factor of (1);
a data preprocessing module: processing the obtained accident section information to construct a judgment matrix;
a weight calculation module: calculating the weight value of each hazard source by using the constructed evaluation matrix;
a driving risk evaluation module: identifying the risk degree of the comprehensive risk evaluation value, and determining the risk type;
and the modules are in communication connection.
The dynamic evaluation factor recognition module comprises an eyeball motion recognition device for judging whether the driver is tired or not, a gps receiving device for receiving real-time weather change and vehicle running track and various vehicle-mounted sensors, and fuzzy numerical values are defined as v when fatigue driving or weather change and illegal driving occur1。
The vehicle-mounted sensor is used for monitoring the risk of the dangerous chemical substance vehicle during running and comprises a liquid level sensor for judging whether the dangerous chemical substance is leaked, a tire pressure sensor for judging whether a tire is decompressed or not and a steering wheel corner sensor for judging whether steering is smooth or not, the sensors convert measured data into electric signals and transmit the electric signals to a system through a vehicle-mounted can bus, and fuzzy numerical values are defined as v when the dangerous chemical substance vehicle is judged to be dangerous1。
The parts not described in detail in this embodiment can be implemented by conventional techniques, and thus will not be described in detail.

Claims (7)

1.一种危化品车辆公路行驶风险评估方法，其特征在于，所述方法包括如下步骤：1. a method for assessing the risk of dangerous chemicals vehicle road driving, is characterized in that, described method comprises the steps: (1)用层次分析法建立危化品车辆公路运输风险评估体系，确定一级评估因子以及各一级评估因子下的二级评估因子；(1) Use the AHP to establish a risk assessment system for road transport of hazardous chemicals vehicles, and determine the first-level assessment factors and the second-level assessment factors under each first-level assessment factor; (2构建表述评价结果的风险集中间值vk，其中k＝1，2，3；评分取值区间为[0，1]；用专家评分法对各个因子危险度进行评分；(2) Construct the median value v k of the risk concentration expressing the evaluation result, where k=1, 2, 3; the scoring interval is [0, 1]; use the expert scoring method to score the risk of each factor; (3)建立二级因子隶属度风险评判矩阵；(3) Establish a risk evaluation matrix of secondary factor membership degree; (4)基于隶属度风险评判矩阵建立基于熵权法的危化品运输一级评估因子和二级评估因子的权重模糊集；(4) Based on the risk evaluation matrix of membership degree, establish the weight fuzzy set of the first-level evaluation factor and the second-level evaluation factor of hazardous chemicals transportation based on the entropy weight method; (5)根据一级评估因子和二级评估因子的权重模糊集构建评价模糊集，对两级影响因子进行逐级模糊评价，得出危化品运输评估等级。(5) Construct the evaluation fuzzy set according to the weight fuzzy set of the first-level evaluation factor and the second-level evaluation factor, and carry out the level-by-level fuzzy evaluation of the two-level impact factors to obtain the evaluation level of hazardous chemicals transportation. 2.根据权利要求1所述的危化品车辆公路行驶风险评估方法，其特征在于，所述一级评估因子包括驾驶员α1、危化品车辆α2和公路α3。2 . The road driving risk assessment method for hazardous chemical vehicles according to claim 1 , wherein the first-level evaluation factors include driver α 1 , hazardous chemical vehicle α 2 and highway α 3 . 3 . 3.根据权利要求2所述的危化品车辆公路行驶风险评估方法，其特征在于，所述步骤(3)中，一级评估因子αi，i＝1，2，3所对应的隶属度风险评判矩阵Ai为3 . The method for assessing the road driving risk of hazardous chemicals vehicles according to claim 2 , wherein, in the step (3), the first-level assessment factors α i , i=1, 2, and the corresponding membership degrees of 3. 4 . The risk evaluation matrix A i is
Figure FDA0003215609780000011
Figure FDA0003215609780000011
 其中ωijk为二级评估因子对取值区间的隶属度，j＝1，2，…，m；k＝1，2，3；其值按下式计算：where ω ijk is the membership degree of the secondary evaluation factor to the value interval, j=1, 2, ..., m; k=1, 2, 3; its value is calculated as follows:
Figure FDA0003215609780000012
Figure FDA0003215609780000012
 其中as×n为二级评估因子的模糊集中的元素由专家评分得出，且其取值区间为[0，1]，s为专家数，n为二级评估因子的个数。Among them, a s×n is the element in the fuzzy set of secondary evaluation factors, which is obtained by expert scoring, and its value interval is [0, 1], s is the number of experts, and n is the number of secondary evaluation factors. 4.根据权利要求3所述的危化品车辆公路行驶风险评估方法，其特征在于，所述步骤(4)包括如下步骤：4. The road driving risk assessment method for hazardous chemicals vehicles according to claim 3, wherein the step (4) comprises the following steps: (41)将风险评判矩阵Ai进行线性变换得到矩阵Bi，Bi中单个元素为
Figure FDA0003215609780000013
其表达式如下：(41) Perform a linear transformation on the risk evaluation matrix A i to obtain a matrix B i , and a single element in B i is
Figure FDA0003215609780000013
Its expression is as follows:
Figure FDA0003215609780000014
Figure FDA0003215609780000014
 (42)按下式计算因子的熵值Qij：(42) Calculate the entropy value Q ij of the factor as follows:
Figure FDA0003215609780000021
Figure FDA0003215609780000021
 其中，K为玻尔兹曼常数；where K is the Boltzmann constant; (43)对二级评估因子的权重Wij赋值，表达式如下：(43) The weight W ij of the secondary evaluation factor is assigned, and the expression is as follows:
Figure FDA0003215609780000022
Figure FDA0003215609780000022
 (44)建立二级因子权重模糊集，其表达式如下：(44) Establish a second-level factor weight fuzzy set whose expression is as follows:
Figure FDA0003215609780000023
Figure FDA0003215609780000023
 其中m，n，z代表各个一级因子所对应的二级因子权重值个数；Where m, n, z represent the number of secondary factor weight values corresponding to each primary factor; (45)构建一级因子权重模糊集，表达式如下：(45) Construct the first-level factor weight fuzzy set, the expression is as follows: U＝[U1 U2 U3]。U=[U 1 U 2 U 3 ]. 5.根据权利要求4所述的危化品车辆公路行驶风险评估方法，其特征在于，所述步骤(5)包括如下步骤：5. The road driving risk assessment method for hazardous chemicals vehicles according to claim 4, wherein the step (5) comprises the following steps: (51)基于危化品运输模糊评估模型建立一级评价因子α1对应的各个二级评价因子αij初级模糊评价模型，其表达式如下：(51) Establish a primary fuzzy evaluation model for each secondary evaluation factor α ij corresponding to the primary evaluation factor α 1 based on the fuzzy evaluation model for the transportation of hazardous chemicals, and its expression is as follows:
Figure FDA0003215609780000024
Figure FDA0003215609780000024
 其中Ei代表各一级影响因子下各个二级因子所占权重，i＝1，2，3；Among them, E i represents the weight of each secondary factor under each primary impact factor, i=1, 2, 3; (52)建立各个二级因子的评价模型，表达式如下：(52) Establish the evaluation model of each secondary factor, the expression is as follows:
Figure FDA0003215609780000025
Figure FDA0003215609780000025
 (53)建立各个一级影响因子评价模型，表达式如下：(53) Establish each first-level impact factor evaluation model, the expression is as follows:
Figure FDA0003215609780000026
Figure FDA0003215609780000026
 其中E1…；U1 U2 U3表示各个一级评价因子权重值，其和为1；Among them, E 1 ...; U 1 U 2 U 3 represents the weight value of each first-level evaluation factor, and its sum is 1; (54)计算危化品车辆公路运输评价指标的风险评估值，并风险度区间进行形式危险等级的评级，其中，风险评估值按下式计算：(54) Calculate the risk assessment value of the road transport evaluation index of hazardous chemicals vehicles, and carry out the rating of the formal hazard level in the risk degree interval, wherein the risk assessment value is calculated as follows:
Figure FDA0003215609780000031
Figure FDA0003215609780000031
 6.一种使用如权利要求1-5所述方法进行危化品车辆公路行驶风险评估的系统，其特征在于，所述系统包括如下模块：6. A system for conducting risk assessment of hazardous chemicals vehicles on highways using the method according to claims 1-5, wherein the system comprises the following modules: 风险源信息提取模块：以人、车、路为风险源，用专家评分法进行风险评价，存储各个路段的事故信息，作为影响风险评估的静态因素的评价模糊数值，所述静态因素包括危化品等级、道路交通量、道路弯道并根据每年事故信息实时添加；确定危化品车辆行使的路段之后，在数据库中提取出事故信息，获得隶属于一级评估因子危化品车辆α2和公路α3的二级评估因子的模糊数值；Risk source information extraction module: take people, vehicles and roads as risk sources, use expert scoring method for risk evaluation, store accident information of each road section, and use it as the evaluation fuzzy value of static factors that affect risk evaluation. The static factors include risk factors grade, road traffic volume, and road curves are added in real time according to the annual accident information; after determining the road section where the hazardous chemical vehicles are used, the accident information is extracted from the database, and the α 2 and α 2 and Fuzzy numerical value of the secondary evaluation factor of highway α3; 动态评估因素识别模块：在危化品车辆行使过程中，对影响风险评估的动态因素进行识别，获得隶属于一级评估因子驾驶员α1、危化品车辆α2的二级评估因子的模糊数值；Dynamic evaluation factor identification module: In the process of hazardous chemical vehicles running, the dynamic factors affecting risk evaluation are identified, and the fuzzy second-level evaluation factors belonging to the first-level evaluation factor driver α 1 and the hazardous chemical vehicle α 2 are obtained. value; 数据预处理模块：将获得事故段信息进行加工处理，构建评判矩阵；Data preprocessing module: process the obtained accident segment information to construct a judgment matrix; 权重计算模块：利用构建的评判矩阵求出各个危险源的权重数值；Weight calculation module: use the constructed evaluation matrix to calculate the weight value of each hazard source; 行驶风险评估模块：对风险综合评价值进行风险度识别，确定风险种类；Driving risk assessment module: identify the risk degree of the comprehensive risk assessment value and determine the type of risk; 所述各模块之间通讯连接。Communication connection between the modules. 7.根据权利要求6所述的危化品车辆公路行驶风险评估系统，其特征在于，所述动态评估因素识别模块包括用于判别驾驶员是否疲劳驾驶的眼球运动识别装置和用于接收实时天气变化和车辆运行轨迹的gps接收装置以及各车载传感器，当出现疲劳驾驶或天气变化以及违规行使时将模糊数值定义为v1。7 . The highway driving risk assessment system for hazardous chemicals vehicles according to claim 6 , wherein the dynamic assessment factor identification module comprises an eye movement identification device for judging whether the driver is driving fatigued and for receiving real-time weather conditions. 8 . The gps receiver of the change and vehicle running track and various on-board sensors define the fuzzy value as v 1 when there is fatigue driving or weather changes and illegal driving. 所述车载传感器用于监测危化品车辆行使中自身的风险，包括用于判断危化品是否泄露的液位传感器、用于判断轮胎是否失压的胎压传感器、判断转向是否平顺的方向盘转角传感器，上述传感器将测得数据转变为电信号通过车载can总线传输至系统，当判断危化品车辆自身存在危险时将模糊数值定义为v1。The vehicle-mounted sensor is used to monitor the risk of the hazardous chemicals vehicle itself, including a liquid level sensor for judging whether the hazardous chemical is leaking, a tire pressure sensor for judging whether the tire is depressurized, and a steering wheel angle for judging whether the steering is smooth. The above sensors convert the measured data into electrical signals and transmit them to the system through the on-board can bus. When judging that the dangerous chemical vehicle itself is in danger, the fuzzy value is defined as v 1 .
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CN115225402A (en) * 2022-07-26 2022-10-21 华能山东发电有限公司 New energy information security risk management system and method based on ISMS model
CN115796601A (en) * 2022-12-29 2023-03-14 无锡晶安智慧科技有限公司 Dangerous chemical enterprise safety risk level evaluation method
CN116631186A (en) * 2023-05-19 2023-08-22 东南大学 Highway traffic accident risk assessment method and system based on dangerous driving event data
CN116631186B (en) * 2023-05-19 2024-05-28 东南大学 Highway traffic accident risk assessment method and system based on dangerous driving event data
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