CN113554248A - Risk dynamic early warning assessment method and device for hazardous chemical substance transport vehicle - Google Patents
Risk dynamic early warning assessment method and device for hazardous chemical substance transport vehicle Download PDFInfo
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Abstract
The embodiment of the invention provides a risk dynamic early warning and assessment method and device for a dangerous chemical transport vehicle, belongs to the field of safety technical management, and solves the problem that the safety risk of the dangerous chemical transport vehicle cannot be measured in real time. The method comprises the following steps: through obtaining the dangerous chemicals type, the transportation volume that dangerous chemicals transport vehicle transported, the early warning data that the risk indicator corresponds in the vehicle risk early warning of dangerous chemicals transport vehicle and the regional environmental information that corresponds of traveling in real time, can assess in real time the real-time risk of dangerous chemicals transport vehicle has realized the dynamic management of enterprise to high risk vehicle. The embodiment of the invention is suitable for safety management of the hazardous chemical substance transport vehicle.
Description
Technical Field
The invention relates to the field of safety technical management, in particular to a method and a device for risk dynamic early warning and evaluation of a hazardous chemical transport vehicle.
Background
Dangerous chemicals (dangerous chemicals for short) are used as important chemical raw materials and play an irreplaceable role in the development of national economy and society. With the rapid development of economic and chemical industries in China, more and more dangerous chemicals are used in various fields, and the road transportation demand and the transportation volume of the dangerous chemicals are increased year by year. While the transportation volume of the hazardous chemical substances is increased year by year, major transportation accidents sometimes happen, and the road transportation safety management situation of the hazardous chemical substances is not optimistic.
Although hazardous chemical substance road transportation information monitoring platforms are successively built in the prior art and some logistics enterprises also build hazardous chemical substance road transportation information monitoring platforms, the monitoring platforms only can provide a large amount of monitoring data, and how to apply the monitoring data and how to implement an early warning mechanism are problems to be solved urgently at present.
Disclosure of Invention
The embodiment of the invention aims to provide a risk dynamic early warning and assessment method and device for a dangerous chemical transport vehicle, which solve the problem that the safety risk of the dangerous chemical transport vehicle cannot be measured in real time.
In order to achieve the above object, an embodiment of the present invention provides a method for dynamically early warning and evaluating a risk of a hazardous chemical substance transportation vehicle, where the method includes: acquiring the type and the transportation amount of the hazardous chemical substance transported by the hazardous chemical substance transport vehicle, early warning data corresponding to a risk index in vehicle risk early warning of the hazardous chemical substance transport vehicle and environmental information of a real-time driving area; determining a dangerous chemical risk index according to the dangerous chemical species, the transportation volume, a preset dangerous chemical risk grade and a preset transportation volume classification; determining an active safety prevention risk index according to the early warning data corresponding to the risk index and a preset weight; obtaining an environmental influence factor corresponding to the real-time driving area according to a preset map, the environmental information of the real-time driving area and a preset climate conversion relation; and evaluating the real-time risk of the hazardous chemical substance transport vehicle according to the hazardous chemical substance risk index, the active safety prevention risk index and the environmental influence factor.
Further, the determining the risk index of the hazardous chemical according to the type of the hazardous chemical, the transportation amount, the preset hazardous chemical risk level and the preset transportation amount classification comprises: determining a health hazard grade, a flammability grade, a chemical reaction activity grade and a special risk grade corresponding to the dangerous chemical variety according to the dangerous chemical variety and the preset dangerous chemical risk grade; determining a traffic risk grade according to the traffic and the preset traffic grade; according toObtaining the risk index of the dangerous chemical substance, wherein RI is the risk index of the dangerous chemical substance, FQFor the traffic risk class, NHIs the health hazard grade, NFIs said flammability class, NRTo the chemical reactivity class, NSThe special risk level.
Further, the early warning data includes historical early warning quantity and real-time early warning quantity, and determining the active safety prevention risk index according to the early warning data corresponding to the risk indicator and the preset weight includes: according toObtaining the active safety prevention risk index, wherein alpha is the active safety prevention risk index, and wiIs a preset weight, q, corresponding to the ith risk indicatoriNumber of real-time warnings, Q, corresponding to the ith risk indicatoriIs the ith risk indicatorAnd the corresponding historical early warning number, wherein n is the number of the risk indexes.
Further, the vehicle risk early warning comprises vehicle state early warning, driver driving behavior early warning and vehicle management early warning, and the method further comprises the following steps: and determining the preset weight corresponding to the risk index in the risk early warning of each type of vehicle through an analytic hierarchy process.
Further, the step of determining the preset weight corresponding to the risk indicator in the risk early warning of each type of vehicle by an analytic hierarchy process includes: acquiring a judgment matrix corresponding to the risk early warning of each type of vehicle, wherein the judgment matrix comprises importance ratio pair preset values among risk indexes of the risk early warning of vehicles belonging to the same type; according toObtaining a normalization result of elements in a judgment matrix corresponding to the a-th vehicle risk early warning, wherein WaijRisk indicator W for risk early warning of vehicles belonging to class aaiRelative to the risk indicator WajThe importance of (a) is compared to a preset value,is WaijN is the number of risk indexes of the a-th vehicle risk early warning; according toObtaining a risk index W belonging to the a-th vehicle risk early warningaiAnd corresponding preset weight.
Further, the obtaining of the environmental impact factor corresponding to the real-time driving area according to a preset map, the environmental information of the real-time driving area, and a preset climate change relationship includes: obtaining a driving area factor in the environment influence factors corresponding to the real-time driving area according to the preset map and the real-time driving area; and obtaining weather influence factors in the environment influence factors corresponding to the real-time driving area according to the real-time weather and a preset weather conversion relation.
Further, the obtaining of the driving area factor in the environmental impact factor corresponding to the real-time driving area according to the preset map and the real-time driving area includes: determining a road curvature coefficient, a road gradient coefficient, a lane coefficient, a special road section coefficient and a sensitive area influence coefficient corresponding to the real-time driving area according to the position of the real-time driving area in the preset map; and determining the product of the road curvature coefficient, the road gradient coefficient, the lane coefficient, the special road section coefficient and the sensitive area influence coefficient as a driving area factor in the environment influence factors corresponding to the real-time driving area.
Further, the obtaining of the weather influence factor in the environmental influence factors corresponding to the real-time driving area according to the real-time weather and a preset weather conversion relationship includes: and finding the weather influence factor corresponding to the real-time weather in the preset weather conversion relation.
Further, the assessing the real-time risk of the hazardous chemical substance transport vehicle according to the hazardous chemical substance risk index, the active safety prevention risk index and the environmental impact factor comprises: and obtaining a real-time risk index corresponding to the real-time risk of the hazardous chemical substance transport vehicle according to R ═ (RI + alpha) × h, wherein R is the real-time risk index, RI is the hazardous chemical substance risk index, alpha is the active safety prevention risk index, h is the environmental impact factor, h ═ d ═ c, d is the driving area factor, and c is the meteorological impact factor.
Further, the assessing the real-time risk of the hazardous chemical transport vehicle comprises: determining a risk grade corresponding to the real-time risk index according to a risk index range corresponding to a preset risk grade; and when the risk level is higher than a grade threshold value, prompting a user to which the hazardous chemical substance transport vehicle belongs.
Correspondingly, the embodiment of the invention also provides a risk dynamic early warning and evaluating device of the hazardous chemical substance transport vehicle, which comprises: the acquiring unit is used for acquiring the type and the transportation amount of the hazardous chemical substance transported by the hazardous chemical substance transport vehicle, early warning data corresponding to a risk index in vehicle risk early warning of the hazardous chemical substance transport vehicle and environmental information of a real-time driving area; the hazardous chemical substance risk determining unit is used for determining a hazardous chemical substance risk index according to the hazardous chemical substance type, the transportation volume, a preset hazardous chemical substance risk grade and a preset transportation volume grade; the active safety prevention risk determining unit is used for determining an active safety prevention risk index according to the early warning data corresponding to the risk index and the preset weight; the environment influence determining unit is used for obtaining an environment influence factor corresponding to the real-time driving area according to a preset map, the environment information of the real-time driving area and a preset climate conversion relation; and the evaluation unit is used for evaluating the real-time risk of the hazardous chemical substance transport vehicle according to the hazardous chemical substance risk index, the active safety prevention risk index and the environmental influence factor.
Further, the dangerous chemical risk determining unit is further configured to determine a health hazard level, a flammability level, a chemical reactivity level and a special risk level corresponding to the dangerous chemical variety according to the dangerous chemical variety and the preset dangerous chemical risk level; determining a traffic risk grade according to the traffic and the preset traffic grade; according toObtaining the risk index of the dangerous chemical substance, wherein RI is the risk index of the dangerous chemical substance, FQFor the traffic risk class, NHIs the health hazard grade, NFIs said flammability class, NRTo the chemical reactivity class, NSThe special risk level.
Further, the early warning data comprises historical early warning quantity and real-time early warning quantity, and the active safety prevention risk determination unit is further used for determining the risk according toObtaining the active safety prevention risk index,wherein α is the active safety prevention risk index, wiIs a preset weight, q, corresponding to the ith risk indicatoriNumber of real-time warnings, Q, corresponding to the ith risk indicatoriAnd the number of the historical early warning corresponding to the ith risk index is n, and the number of the risk indexes is n.
Further, the vehicle risk early warning includes vehicle state early warning, navigating mate driving behavior early warning and vehicle management early warning, the device still includes: and the weight determining unit is used for determining the preset weight corresponding to the risk index in the risk early warning of each type of vehicle through an analytic hierarchy process.
Further, the weight determining unit is further configured to obtain a judgment matrix corresponding to each type of vehicle risk early warning, where the judgment matrix includes preset values of importance ratio between risk indicators of the same type of vehicle risk early warning; according toObtaining a normalization result of elements in a judgment matrix corresponding to the a-th vehicle risk early warning, wherein WaijRisk indicator W for risk early warning of vehicles belonging to class aaiRelative to the risk indicator WajThe importance of (a) is compared to a preset value,is WaijN is the number of risk indexes of the a-th vehicle risk early warning; according toObtaining a risk index W belonging to the a-th vehicle risk early warningaiAnd corresponding preset weight.
Further, the environment information includes real-time weather corresponding to the real-time driving area, and the environment influence determining unit is further configured to obtain a driving area factor in the environment influence factors corresponding to the real-time driving area according to the preset map and the real-time driving area; and obtaining weather influence factors in the environment influence factors corresponding to the real-time driving area according to the real-time weather and a preset weather conversion relation.
Further, the environment influence determining unit is further configured to determine a road curvature coefficient, a road gradient coefficient, a lane coefficient, a special road section coefficient and a sensitive area influence coefficient corresponding to the real-time driving area according to the position of the real-time driving area on the preset map; and determining the product of the road curvature coefficient, the road gradient coefficient, the lane coefficient, the special road section coefficient and the sensitive area influence coefficient as a driving area factor in the environment influence factors corresponding to the real-time driving area.
Further, the environmental impact determining unit is further configured to find a weather impact factor corresponding to the real-time weather in the preset weather conversion relationship.
Further, the evaluation unit is further configured to obtain a real-time risk index corresponding to the real-time risk of the hazardous chemical substance transportation vehicle according to R ═ (RI + α) × h, where R is the real-time risk index, RI is the hazardous chemical substance risk index, α is the active safety prevention risk index, and h is the environmental impact factor, where h ═ d ×, c is the driving area factor, and c is the meteorological impact factor.
Further, the evaluation unit is further configured to determine a risk level corresponding to the real-time risk index according to a risk index range corresponding to a preset risk level; and when the risk level is higher than a grade threshold value, prompting a user to which the hazardous chemical substance transport vehicle belongs.
Accordingly, the embodiment of the present invention further provides a machine-readable storage medium, where the machine-readable storage medium has instructions stored thereon, and the instructions are configured to cause a machine to execute the risk dynamic early warning assessment method for a hazardous chemical substance transportation vehicle as described above.
Through the technical scheme, the safety risk assessment system has the advantages that the organic combination of the characteristics of the hazardous chemical substances, the vehicle state early warning, the driver driving behavior early warning, the vehicle management early warning and the environmental influence factors is realized, the problem that the safety risk of the hazardous chemical substance transport vehicle cannot be measured in real time is solved, the real-time risk of the hazardous chemical substance transport vehicle can be assessed in real time, so that the safety management basis is provided for enterprises to which the vehicles belong, the potential safety hazard is eliminated in time, and the transportation safety of the hazardous chemical substances is ensured.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
fig. 1 is a schematic flow chart of a risk dynamic early warning and assessment method for a hazardous chemical substance transport vehicle according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a judgment matrix corresponding to the vehicle risk early warning a provided in the embodiment of the present invention;
fig. 3 is a schematic structural diagram of a risk dynamic early warning and evaluating device of a hazardous chemical substance transport vehicle according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of another risk dynamic warning and assessment device for a hazardous chemical substance transportation vehicle according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
The index system for vehicle risk early warning of the hazardous chemical substance transport vehicle can be mainly divided into four major factors of human, machine, ring and management. In constructing the above-mentioned index system, the following principles need to be considered:
(1) principle of scientificity
The index system can objectively reflect main factors influencing the risk of the dangerous chemical substance transport vehicle, and the mutual internal relation, essential characteristics and regularity of the main factors, and objectively reflect the actual situation of the dangerous chemical substance transport vehicle in the transport process. The establishment of the indexes is based on scientific, reasonable and practical conditions.
(2) Principle of systematics
The risk early warning of the dangerous chemical substance transport vehicle is a complex system relating to multiple aspects, so that the established index system can sufficiently reflect the overall condition of the dangerous chemical substance transport vehicle and reflect factors of various aspects of the dangerous chemical substance transport risk.
(3) Principle of combining quantitative analysis and qualitative analysis
Because the transportation of the hazardous chemical substances has the technical and managerial properties, the principle of combining qualitative indexes and quantitative indexes is adopted when the multi-dimensional and multi-index comprehensive early warning is carried out on the hazardous chemical substance transportation vehicle.
(4) Representative principles
In order to comprehensively describe the risk characteristics of the dangerous chemical substance transport vehicle, a representative index with the largest content information is selected. Moreover, the constructed risk early warning index system of the dangerous chemical transport vehicle is simple, clear and layered, and reflects the safety state of the dangerous chemical transport vehicle by using few indexes as far as possible.
(5) Principle of dynamics
The risk of the dangerous chemical substance transport vehicle has dynamic variability, and the importance of influencing the risk factors of the dangerous chemical substance transport vehicle is also in continuous variation, so that the selected index can accurately reflect the dynamic variation, and the risk of the dangerous chemical substance transport vehicle is monitored and early warned timely.
Based on the principle, an early warning index system of the hazardous chemical substance transport vehicle is established: the method comprises 6 primary indexes, namely dangerous chemical medium state early warning, vehicle state early warning, driver driving behavior early warning, environmental condition early warning, meteorological condition early warning and vehicle management early warning. Each primary index also comprises a secondary index, which is as follows:
1) the dangerous chemical substance medium state early warning comprises a health hazard grade, a flammability grade, a chemical reaction activity grade, a special danger grade and a transportation risk grade of the dangerous chemical substance.
2) The vehicle state early warning comprises overspeed, curve overtaking, off-line warning, parking overtime warning, line deviation warning, front collision warning, left lane deviation, right lane deviation, separation monitoring, too close distance, emergency braking and emergency acceleration.
3) The early warning of the driving behavior of the driver comprises lens shielding, overtime driving, eye closing, yawning, distraction driving, smoking, mobile phone playing or receiving and playing and sunglasses wearing.
4) The environmental condition warning includes road conditions such as road camber coefficients, road grade coefficients, lane coefficients, road section specific coefficients, and sensitive area influence coefficients.
5) The weather condition early warning includes good weather, rain and fog weather and ice and snow weather.
6) The vehicle management early warning comprises a driver qualification certificate, a vehicle tank body inspection report, a vehicle road transportation certificate and a safety valve verification certificate.
In the embodiment of the invention, based on the characteristics of the hazardous chemical substances and the risk influence factors of the transportation process, the risk of the hazardous chemical substance transportation vehicle is quantitatively calculated according to the real-time risk index and/or risk grade of the hazardous chemical substance transportation vehicle. The determination of the real-time risk index and/or risk grade of the hazardous chemical substance transportation vehicle comprises four parts of the hazardous chemical substance risk index, the active safety prevention risk index, the environmental influence factor and the meteorological influence factor. The embodiments of the present invention will be described in detail below.
Example one
Fig. 1 is a schematic flow chart of a risk dynamic early warning and assessment method for a hazardous chemical substance transport vehicle according to an embodiment of the present invention. As shown in fig. 1, the method is applied to a server platform, and based on existing active safety devices, such as an in-vehicle camera, an out-vehicle camera, various sensors, and the like, a vehicle positioning technology, a network technology, and a geographic information technology, data required for determining a real-time risk of a hazardous chemical substance transportation vehicle is acquired, and the method includes the following steps:
101, acquiring the type and the transportation amount of the hazardous chemical substance transported by the hazardous chemical substance transport vehicle, early warning data corresponding to a risk index in vehicle risk early warning of the hazardous chemical substance transport vehicle and environmental information of a real-time driving area;
102, determining a risk index of the hazardous chemical according to the type of the hazardous chemical, the transportation volume, a preset hazardous chemical danger level and a preset transportation volume classification;
103, determining an active safety prevention risk index according to the early warning data corresponding to the risk index and a preset weight;
104, obtaining an environmental influence factor corresponding to the real-time driving area according to a preset map, the environmental information of the real-time driving area and a preset climate conversion relation;
and 105, evaluating the real-time risk of the hazardous chemical substance transport vehicle according to the hazardous chemical substance risk index, the active safety prevention risk index and the environmental influence factor.
The method comprises the steps of obtaining the type and the transportation amount of the dangerous chemicals when the dangerous chemicals transported by a dangerous chemical transport vehicle are determined, and determining the risk index of the dangerous chemicals according to the type of the dangerous chemicals, the transportation amount, the preset dangerous chemical danger level and the preset transportation amount classification. In addition, the early warning data corresponding to the risk indicators in the vehicle risk early warning of the hazardous chemical substance transport vehicle can comprise historical early warning quantity and real-time early warning quantity. For the real-time early warning quantity, the quantity can be obtained based on the existing active safety equipment (such as an in-vehicle camera, an out-vehicle camera, various sensors and the like). The environmental information of the real-time driving area can comprise real-time weather corresponding to the real-time driving area, the position of the real-time driving area can be checked in real time by using a geographic information technology in addition to a vehicle positioning technology, and the real-time weather corresponding to the real-time driving area can be checked in real time by using a network technology.
In step 102, the determined risk index of the hazardous chemical substance comprises two parts, wherein one part is a risk level of the hazardous chemical substance, and the risk index is determined by a health hazard level, a flammability level, a chemical reactivity level and a special risk level corresponding to the hazardous chemical substance class; another part is the traffic risk rating.
And determining a health hazard grade, a flammability grade, a chemical reaction activity grade and a special risk grade corresponding to the dangerous chemical variety according to the dangerous chemical variety and the preset dangerous chemical risk grade. The predetermined dangerous chemical risk grades can be seen in tables 1 to 4 below.
Wherein the health hazard grade is NHAs can be determined from table 1 below. Wherein, the health hazard is classified into 4, 3 and 2 grades by adopting NFPA (National Fire Protection Association) standard, and the 1 and 0 health grades are classified by adopting NPCA (National Paint and Coating Association) standard.
TABLE 1
Therein, flammability class NFAs can be determined from table 2 below. Flammability of transportation hazardous chemicals is the basis of classification, and whether flammable or not is an intrinsic property, depending on the form and condition of the cargo.
TABLE 2
Wherein, the chemical reaction activity grade is NRAs can be determined from table 3 below. Wherein the value of the reactivity grade of the transport hazardous chemical material, mixture or compound can be determined according to the instability degree of the substance under the ambient temperature condition.
Therein, a special risk level NSAs can be determined from table 4 below. The special danger of hazardous chemicals mainly refers to the reactivity or oxidation property when meeting water, and special attention is paid in the transportation process.
TABLE 3
TABLE 4
Grade | Description of the invention |
2 | Belongs to the class of oxidizing agents, is very susceptible to oxidation, removes hydrogen from other graves, or absorbs negative electrons |
2 | Can react with water and quickly release energy |
4 | Oxidants, which react violently in contact with water |
For traffic risk class FQThe traffic risk level may be determined based on the traffic and the preset traffic classification. The pre-set traffic classification can be seen in table 5 below.
TABLE 5
And determining the health hazard grade, the flammability grade, the chemical reactivity grade, the special risk grade and the transportation risk grade corresponding to the dangerous chemical variety according to the dangerous chemical variety, the transportation amount and the tables 1 to 5. And then obtaining the risk index RI of the dangerous chemicals according to the following formula (1).
Wherein, FQIs a stand forTraffic risk class, NHIs the health hazard grade, NFIs said flammability class, NRTo the chemical reactivity class, NSThe special risk level.
In step 103, the determined active safety prevention risk index is determined by the number of warnings of each risk indicator in the vehicle state warning, the driver driving behavior warning, and the vehicle management warning. The early warning quantity of each risk index in the vehicle state early warning and the driver driving behavior early warning can be acquired based on the existing active safety equipment (such as an in-vehicle camera, an out-vehicle camera, various sensors and the like).
Wherein the active safety prevention risk index α is obtained according to the following formula (2).
Wherein, wiIs a preset weight, q, corresponding to the ith risk indicatoriNumber of real-time warnings, Q, corresponding to the ith risk indicatoriThe number of the historical early warning indexes is the number corresponding to the ith risk index, n is the number of the risk indexes, and the number is the total number of the risk indexes in vehicle state early warning, driver driving behavior early warning and vehicle management early warning. In addition, the historical early warning number may be the early warning number of the corresponding risk indicator in the historical data within a set time period, for example, the monthly early warning number of the previous month of the risk indicator.
For the preset weight corresponding to each risk index, the vehicle state early warning, the driver driving behavior early warning and the vehicle management early warning can be determined through an analytic hierarchy process, and the preset weight corresponding to each risk index in the three types of vehicle risk early warnings is determined.
Firstly, constructing judgment matrixes corresponding to each type of vehicle risk early warning, namely constructing judgment matrixes corresponding to vehicle state early warning, driver driving behavior early warning and vehicle management early warning respectively. Wherein the judgment matrix packetIncluding importance ratio versus preset value between risk indicators of risk early warning of vehicles belonging to the same class. And determining the importance degree (namely the risk degree) of each factor (risk index) in each type of vehicle risk early warning by adopting an expert scoring method, dividing the risk degree into five grades, and constructing the judgment matrix after determining the risk grade of the risk index in each type of vehicle risk early warning. Taking a judgment matrix corresponding to a certain type of vehicle risk early warning as an example, as shown in fig. 2, it indicates that the risk index B is relative to the vehicle risk early warning aiRelative to risk indicator BjRelative importance of. In addition, the judgment matrix shown in fig. 2 has the following properties:
the importance comparison preset values in the judgment matrix corresponding to the risk early warning of the three types of vehicles can be shown in table 6.
TABLE 6
Importance ratio to preset value | Means of |
1 | Compared with two factors, the two factors have equal importance |
3 | Two factors are compared, one being slightly more important than the other |
5 | Comparison of the two factors, one being significantly more important than the other |
7 | Two factorsBy comparison, one is of greater importance than the other |
9 | By comparison of two factors, one being extremely important than the other |
2、4、6、8 | Comparing the two factors, and taking the median value when the two adjacent degrees are in between |
Referring to table 6 and the manner shown in fig. 2, a judgment matrix corresponding to each type of vehicle risk early warning can be constructed, for the three types of vehicle risk early warnings, three judgment matrices corresponding to the three types of vehicle risk early warnings can be obtained, and the preset weight corresponding to the risk index in each type of vehicle risk early warning is obtained through the following manner:
according toObtaining a normalization result of elements in a judgment matrix corresponding to the a-th vehicle risk early warning, wherein WaijRisk indicator W for risk early warning of vehicles belonging to class aaiRelative to the risk indicator WajThe importance of (a) is compared to a preset value,is WaijAnd n is the number of risk indexes of the a-th vehicle risk early warning. Then, according toObtaining a risk index W belonging to the a-th vehicle risk early warningaiAnd corresponding preset weight.
In order to verify the accuracy and credibility of the obtained preset weight, the consistency of the evaluation result of the judgment matrix corresponding to each type of vehicle risk early warning is checked before the active safety prevention risk index is calculated. For this purpose, randomization is appliedConsistency ratio CRAnd (5) a test method. According to the calculation formula CRAnd (2) setting the consistency check index CI as (lambda max-n)/(n-1), wherein n is the order of the judgment matrix, and lambda max is the maximum characteristic root of the judgment matrix. RI is introduced as an average random consistency index, and RI values corresponding to 1-9 order judgment matrixes are respectively 0,0, 0.58, 0.90, 1.12, 1.24, 1.32, 1.41 and 1.45. The RI values of the 1 st and 2 nd order decision matrices are 0, which indicates only the form, and the 1 st and 2 nd order decision matrices always have consistency. When n is>2 hours, the consistency check can be performed with CRTo verify. When C is presentR<At 0.1, we consider the decision matrix examined to have satisfactory consistency. If it is CR>At 0.1, it indicates that the consistency check fails, and the judgment matrix that fails the consistency check needs to be adjusted and recalculated, for example, the importance ratio in the adjustment judgment matrix is adjusted to a preset value. And then recalculating the preset weight, and then checking the consistency of the judgment matrix until the consistency of the judgment matrix passes the check.
And (3) uniformly managing the preset weights corresponding to the risk indexes in the three types of vehicle risk early warnings, substituting the preset weights into the formula (2), and when substituting the formula (2), not distinguishing which type of vehicle risk early warning the risk indexes corresponding to the preset weights belong to.
In step 104, when a driving area factor in the environmental impact factors corresponding to the real-time driving area is obtained according to the preset map and the real-time driving area, the driving area factor includes the influence of the road state and the influence of the sensitive area, and the road curvature coefficient di1, the road gradient coefficient di2, the lane coefficient di3, the special road section coefficient di4, and the sensitive area impact coefficient Fd corresponding to the real-time driving area may be determined according to the position of the real-time driving area on the preset map based on the vehicle positioning technology and the map geographic information technology. The following table 7 shows the determination criteria of the road curvature coefficient di1, the road gradient coefficient di2, the lane coefficient di3 and the special link coefficient di 4.
The sensitive area influence coefficient Fd depends on an area range which takes the vehicle as a circle center and takes the distance threshold value as a radius, and people dense areas, ecological lakes and rivers in different areas in the area range are identified. The determination of the influence coefficient of the sensitive area is shown in table 8. And when the sensitive area exists in the area range with the radius of less than 500 meters by taking the vehicle as the center of a circle, the influence coefficient of the sensitive area is 4, and the like.
TABLE 7
TABLE 8
Coefficient of performance | Distance threshold/m |
4 | <500 |
3 | 500-1500 |
2 | 1501-5000 |
1 | 5001-10000 |
0 | >10000 |
And after obtaining the road curvature coefficient, the road gradient coefficient, the lane coefficient, the special road section coefficient and the sensitive area influence coefficient, obtaining a driving area factor d in the environment influence factors corresponding to the real-time driving area according to d-di 1 di2 di3 di4 Fh.
In step 104, when weather influence factors in the environment influence factors corresponding to the real-time driving area are obtained according to the real-time weather and a preset weather conversion relationship, severe weather conditions such as heavy rain, heavy fog, ice and snow may cause road slip, poor sight and the like to cause traffic accidents, high-temperature weather easily has a great influence on dangerous goods storage and transportation conditions, and weather influence factors are determined by predicting good weather, rain and fog weather and ice and snow weather. Specifically, in the preset weather conversion relationship, as shown in table 9 below, the weather influence factor c corresponding to the real-time weather is found.
TABLE 9
Real-time weather | Weather influencing factor |
Good weather | 1.0 |
Weather of rain and fog | 1.5 |
Weather of ice and snow | 2.5 |
Through the above step 102-.
According to the embodiment of the invention, the organic combination of the characteristics of the hazardous chemical substances, the vehicle state early warning, the driver driving behavior early warning, the vehicle management early warning, the environmental influence factors and the weather influence factors is realized, the real-time risk of the hazardous chemical substance transport vehicle can be evaluated in real time, so that the safety management basis is provided for the enterprises to which the vehicle belongs, the potential safety hazard is eliminated in time, and the transport safety of the hazardous chemical substances is ensured.
Example two
After the real-time risk index corresponding to the real-time risk of the hazardous chemical substance transport vehicle is obtained in the first embodiment, the risk level corresponding to the real-time risk index can be determined according to the risk index range corresponding to the preset risk level. Since the risk index is approximately normally distributed, the confidence interval method can be used to perform value domain segmentation of five preset risk levels of low risk, general risk, middle risk, higher risk and high risk on the risk index, for example, segmentation of the risk index according to confidence intervals [0,0.2 ], [0.2,0.4 ], [0.4,0.6 ], [0.6,0.8 ] and [0.8,1.0] with confidence degrees of 0.8(1-0.2) and 0.4(1-0.6), respectively corresponding to five preset risk levels of low risk, general risk, middle risk, higher risk and high risk. And after the real-time risk index corresponding to the real-time risk is obtained, determining the risk level corresponding to the real-time risk index from the risk index range corresponding to the preset risk level in the confidence interval. Then, judge whether the risk level is higher than the level threshold, if be higher than, then indicate the user that the dangerization article haulage vehicle belongs to, for example, indicate that the risk level of this vehicle of the enterprise that the dangerization article vehicle belongs to is higher, should in time eliminate hidden danger, eliminate the dangerization article transportation accident at the sprouting stage, ensure dangerization article transportation safety.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a risk dynamic early warning and evaluating device for a hazardous chemical substance transport vehicle according to an embodiment of the present invention. As shown in fig. 3, the apparatus is applied to a server platform, and the apparatus 30 includes: the acquiring unit 31 is configured to acquire the type and the transportation amount of the hazardous chemical substance transported by the hazardous chemical substance transport vehicle, early warning data corresponding to a risk indicator in vehicle risk early warning of the hazardous chemical substance transport vehicle, and environmental information of a real-time driving area; a hazardous chemical substance risk determining unit 32, configured to determine a hazardous chemical substance risk index according to the hazardous chemical substance type, the transportation volume, a preset hazardous chemical substance risk level, and a preset transportation volume classification; the active safety prevention risk determining unit 33 is configured to determine an active safety prevention risk index according to the early warning data corresponding to the risk indicator and the preset weight; the environment influence determining unit 34 is configured to obtain an environment influence factor corresponding to the real-time driving area according to a preset map, the environment information of the real-time driving area, and a preset climate change relationship; and the evaluation unit 35 is used for evaluating the real-time risk of the hazardous chemical substance transport vehicle according to the hazardous chemical substance risk index, the active safety prevention risk index and the environmental influence factor.
Further, the dangerous chemical risk determining unit is further configured to determine a health hazard level, a flammability level, a chemical reactivity level and a special risk level corresponding to the dangerous chemical variety according to the dangerous chemical variety and the preset dangerous chemical risk level; determining a traffic risk grade according to the traffic and the preset traffic grade; according toObtaining the risk index of the dangerous chemical substance, wherein RI is the risk index of the dangerous chemical substance, FQFor the traffic risk class, NHIs the health hazard grade, NFIs said flammability class, NRTo the chemical reactivity class, NSThe special risk level.
Further, the early warning data comprises historical early warning quantity and real-time early warning quantity, and the active safety prevention risk determination unit is further used for determining the risk according toObtaining the active safety prevention risk index,wherein α is the active safety prevention risk index, wiIs a preset weight, q, corresponding to the ith risk indicatoriNumber of real-time warnings, Q, corresponding to the ith risk indicatoriAnd the number of the historical early warning corresponding to the ith risk index is n, and the number of the risk indexes is n.
Further, the vehicle risk early warning includes vehicle state early warning, driver's driving behavior early warning and vehicle management early warning, as shown in fig. 4, the device still includes: and the weight determining unit 36 is configured to determine a preset weight corresponding to the risk indicator in each type of vehicle risk early warning through an analytic hierarchy process.
Further, the weight determining unit is further configured to obtain a judgment matrix corresponding to each type of vehicle risk early warning, where the judgment matrix includes preset values of importance ratio between risk indicators of the same type of vehicle risk early warning; according toObtaining a normalization result of elements in a judgment matrix corresponding to the a-th vehicle risk early warning, wherein WaijRisk indicator W for risk early warning of vehicles belonging to class aaiRelative to the risk indicator WajThe importance of (a) is compared to a preset value,is WaijN is the number of risk indexes of the a-th vehicle risk early warning; according toObtaining a risk index W belonging to the a-th vehicle risk early warningaiAnd corresponding preset weight.
Further, the environment information includes real-time weather corresponding to the real-time driving area, and the environment influence determining unit is further configured to obtain a driving area factor in the environment influence factors corresponding to the real-time driving area according to the preset map and the real-time driving area; and obtaining weather influence factors in the environment influence factors corresponding to the real-time driving area according to the real-time weather and a preset weather conversion relation.
Further, the environment influence determining unit is further configured to determine a road curvature coefficient, a road gradient coefficient, a lane coefficient, a special road section coefficient and a sensitive area influence coefficient corresponding to the real-time driving area according to the position of the real-time driving area on the preset map; and determining the product of the road curvature coefficient, the road gradient coefficient, the lane coefficient, the special road section coefficient and the sensitive area influence coefficient as a driving area factor in the environment influence factors corresponding to the real-time driving area.
Further, the environmental impact determining unit is further configured to find a weather impact factor corresponding to the real-time weather in the preset weather conversion relationship.
Further, the evaluation unit is further configured to obtain a real-time risk index corresponding to the real-time risk of the hazardous chemical substance transportation vehicle according to R ═ (RI + α) × h, where R is the real-time risk index, RI is the hazardous chemical substance risk index, α is the active safety prevention risk index, and h is the environmental impact factor, where h ═ d ×, c is the driving area factor, and c is the meteorological impact factor.
Further, the evaluation unit is further configured to determine a risk level corresponding to the real-time risk index according to a risk index range corresponding to a preset risk level; and when the risk level is higher than a grade threshold value, prompting a user to which the hazardous chemical substance transport vehicle belongs.
According to the embodiment of the invention, by acquiring the type and the transportation amount of the hazardous chemical substance transported by the hazardous chemical substance transport vehicle, the historical early warning number and the real-time early warning number corresponding to the risk index in the vehicle risk early warning of the hazardous chemical substance transport vehicle, the real-time traveling area and the real-time weather corresponding to the real-time traveling area, the real-time risk of the hazardous chemical substance transport vehicle can be evaluated in real time, and the dynamic management of enterprises on high-risk vehicles is realized.
The specific implementation process of the device participates in the implementation process of the risk dynamic early warning and assessment method of the dangerous chemical transport vehicle.
Example four
Accordingly, the embodiment of the present invention further provides a machine-readable storage medium, where the machine-readable storage medium has instructions stored thereon, and the instructions are used for causing a machine to execute the risk dynamic early warning assessment method for a hazardous chemical substance transportation vehicle as described in the first to second embodiments.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (21)
1. A risk dynamic early warning assessment method for a hazardous chemical substance transport vehicle is characterized by comprising the following steps:
acquiring the type and the transportation amount of the hazardous chemical substance transported by the hazardous chemical substance transport vehicle, early warning data corresponding to a risk index in vehicle risk early warning of the hazardous chemical substance transport vehicle and environmental information of a real-time driving area;
determining a dangerous chemical risk index according to the dangerous chemical species, the transportation volume, a preset dangerous chemical risk grade and a preset transportation volume classification;
determining an active safety prevention risk index according to the early warning data corresponding to the risk index and a preset weight;
obtaining an environmental influence factor corresponding to the real-time driving area according to a preset map, the environmental information of the real-time driving area and a preset climate conversion relation;
and evaluating the real-time risk of the hazardous chemical substance transport vehicle according to the hazardous chemical substance risk index, the active safety prevention risk index and the environmental influence factor.
2. The method for dynamic early warning and assessment of risk of a hazardous chemical substance transportation vehicle according to claim 1, wherein the determining of the risk index of the hazardous chemical substance according to the type of the hazardous chemical substance, the transportation amount, a preset hazardous chemical substance risk level and a preset transportation amount classification comprises:
determining a health hazard grade, a flammability grade, a chemical reaction activity grade and a special risk grade corresponding to the dangerous chemical variety according to the dangerous chemical variety and the preset dangerous chemical risk grade;
determining a traffic risk grade according to the traffic and the preset traffic grade;
according toObtaining the risk index of the dangerous chemical substance, wherein RI is the risk index of the dangerous chemical substance, FQFor the traffic risk class, NHIs the health hazard grade, NFIs said flammability class, NRIs the chemical reactionGrade of reactivity, NSThe special risk level.
3. The method for dynamically pre-warning and evaluating the risk of the hazardous chemical substance transport vehicle according to claim 1, wherein the pre-warning data comprises historical pre-warning quantity and real-time pre-warning quantity, and the determining the active safety prevention risk index according to the pre-warning data corresponding to the risk indicator and the preset weight comprises:
according toObtaining the active safety prevention risk index, wherein alpha is the active safety prevention risk index, and wiIs a preset weight, q, corresponding to the ith risk indicatoriNumber of real-time warnings, Q, corresponding to the ith risk indicatoriAnd the number of the historical early warning corresponding to the ith risk index is n, and the number of the risk indexes is n.
4. The method for dynamically pre-warning and assessing the risk of the hazardous chemical substance transportation vehicle according to claim 1 or 3, wherein the vehicle risk pre-warning comprises vehicle state pre-warning, driver driving behavior pre-warning and vehicle management pre-warning, and the method further comprises:
and determining the preset weight corresponding to the risk index in the risk early warning of each type of vehicle through an analytic hierarchy process.
5. The method for dynamically pre-warning and assessing the risk of the hazardous chemical substance transportation vehicle according to claim 4, wherein the determining the preset weight corresponding to the risk indicator in the risk pre-warning of each type of vehicle through an analytic hierarchy process comprises:
acquiring a judgment matrix corresponding to the risk early warning of each type of vehicle, wherein the judgment matrix comprises importance ratio pair preset values among risk indexes of the risk early warning of vehicles belonging to the same type;
according toObtaining a normalization result of elements in a judgment matrix corresponding to the a-th vehicle risk early warning, wherein WaijRisk indicator W for risk early warning of vehicles belonging to class aaiRelative to the risk indicator WajThe importance of (a) is compared to a preset value,is WaijN is the number of risk indexes of the a-th vehicle risk early warning;
6. The method for dynamically early warning and evaluating the risk of the hazardous chemical substance transportation vehicle according to claim 1, wherein the environmental information comprises real-time weather corresponding to the real-time driving area, and the obtaining of the environmental impact factor corresponding to the real-time driving area according to a preset map, the environmental information of the real-time driving area and a preset climate transformation relation comprises:
obtaining a driving area factor in the environment influence factors corresponding to the real-time driving area according to the preset map and the real-time driving area;
and obtaining weather influence factors in the environment influence factors corresponding to the real-time driving area according to the real-time weather and a preset weather conversion relation.
7. The method for dynamically pre-warning and evaluating the risk of the hazardous chemical substance transportation vehicle according to claim 6, wherein the step of obtaining the driving area factor of the environmental impact factors corresponding to the real-time driving area according to the preset map and the real-time driving area comprises:
determining a road curvature coefficient, a road gradient coefficient, a lane coefficient, a special road section coefficient and a sensitive area influence coefficient corresponding to the real-time driving area according to the position of the real-time driving area in the preset map;
and determining the product of the road curvature coefficient, the road gradient coefficient, the lane coefficient, the special road section coefficient and the sensitive area influence coefficient as a driving area factor in the environment influence factors corresponding to the real-time driving area.
8. The method for dynamically early warning and evaluating the risk of the hazardous chemical substance transportation vehicle according to claim 6, wherein the obtaining of the weather influence factor in the environmental influence factors corresponding to the real-time driving area according to the real-time weather and a preset climate transformation relationship comprises:
and finding the weather influence factor corresponding to the real-time weather in the preset weather conversion relation.
9. The method for dynamic early warning and assessment of risk of a hazardous chemical substance transportation vehicle according to claim 6, wherein the assessment of real-time risk of the hazardous chemical substance transportation vehicle according to the hazardous chemical substance risk index, the active safety prevention risk index and the environmental impact factor comprises:
and obtaining a real-time risk index corresponding to the real-time risk of the hazardous chemical substance transport vehicle according to R ═ (RI + alpha) × h, wherein R is the real-time risk index, RI is the hazardous chemical substance risk index, alpha is the active safety prevention risk index, h is the environmental impact factor, h ═ d ═ c, d is the driving area factor, and c is the meteorological impact factor.
10. The method for dynamically pre-warning and assessing the risk of the hazardous chemical substance transportation vehicle according to claim 9, wherein the assessing the real-time risk of the hazardous chemical substance transportation vehicle comprises:
determining a risk grade corresponding to the real-time risk index according to a risk index range corresponding to a preset risk grade;
and when the risk level is higher than a grade threshold value, prompting a user to which the hazardous chemical substance transport vehicle belongs.
11. A dynamic risk early warning and assessment device for hazardous chemical substance transport vehicles is characterized by comprising:
the acquiring unit is used for acquiring the type and the transportation amount of the hazardous chemical substance transported by the hazardous chemical substance transport vehicle, early warning data corresponding to a risk index in vehicle risk early warning of the hazardous chemical substance transport vehicle and environmental information of a real-time driving area;
the hazardous chemical substance risk determining unit is used for determining a hazardous chemical substance risk index according to the hazardous chemical substance type, the transportation volume, a preset hazardous chemical substance risk grade and a preset transportation volume grade;
the active safety prevention risk determining unit is used for determining an active safety prevention risk index according to the early warning data corresponding to the risk index and the preset weight;
the environment influence determining unit is used for obtaining an environment influence factor corresponding to the real-time driving area according to a preset map, the environment information of the real-time driving area and a preset climate conversion relation;
and the evaluation unit is used for evaluating the real-time risk of the hazardous chemical substance transport vehicle according to the hazardous chemical substance risk index, the active safety prevention risk index and the environmental influence factor.
12. The device for dynamically pre-warning and evaluating the risk of the hazardous chemical substance transportation vehicle according to claim 11, wherein the hazardous chemical substance risk determining unit is further configured to determine a health hazard level, a flammability level, a chemical reactivity level, and a special risk level corresponding to the hazardous chemical substance class according to the hazardous chemical substance class and the preset hazardous chemical substance risk level; determining a traffic risk grade according to the traffic and the preset traffic grade; according toObtaining the risk index of the dangerous chemicalWherein RI is the risk index of the dangerous chemical substance, FQFor the traffic risk class, NHIs the health hazard grade, NFIs said flammability class, NRTo the chemical reactivity class, NSThe special risk level.
13. The dynamic risk early warning assessment device for dangerous chemical transportation vehicles according to claim 11, wherein the early warning data comprises historical early warning quantity and real-time early warning quantity, and the active safety prevention risk determination unit is further configured to determine the risk according toObtaining the active safety prevention risk index, wherein alpha is the active safety prevention risk index, and wiIs a preset weight, q, corresponding to the ith risk indicatoriNumber of real-time warnings, Q, corresponding to the ith risk indicatoriAnd the number of the historical early warning corresponding to the ith risk index is n, and the number of the risk indexes is n.
14. The device for dynamically assessing risk of hazardous chemical substance transportation vehicles according to claim 11 or 13, wherein the vehicle risk warning includes vehicle state warning, driver driving behavior warning, and vehicle management warning, and the device further comprises:
and the weight determining unit is used for determining the preset weight corresponding to the risk index in the risk early warning of each type of vehicle through an analytic hierarchy process.
15. The device for dynamically estimating the risk early warning of the hazardous chemical substance transportation vehicle according to claim 14, wherein the weight determining unit is further configured to obtain a judgment matrix corresponding to the risk early warning of each type of vehicle, where the judgment matrix includes preset values of importance ratio among risk indicators of risk early warnings belonging to the same type of vehicle; according toObtaining a normalization result of elements in a judgment matrix corresponding to the a-th vehicle risk early warning, wherein WaijRisk indicator W for risk early warning of vehicles belonging to class aaiRelative to the risk indicator WajThe importance of (a) is compared to a preset value,is WaijN is the number of risk indexes of the a-th vehicle risk early warning; according toObtaining a risk index W belonging to the a-th vehicle risk early warningaiAnd corresponding preset weight.
16. The device for dynamically early warning and evaluating the risk of the hazardous chemical substance transportation vehicle according to claim 11, wherein the environmental information includes real-time weather corresponding to the real-time driving area, and the environmental impact determination unit is further configured to obtain a driving area factor among the environmental impact factors corresponding to the real-time driving area according to the preset map and the real-time driving area; and obtaining weather influence factors in the environment influence factors corresponding to the real-time driving area according to the real-time weather and a preset weather conversion relation.
17. The device for dynamically pre-warning and evaluating the risk of the hazardous chemical substance transportation vehicle according to claim 16, wherein the environmental impact determining unit is further configured to determine a road curvature coefficient, a road gradient coefficient, a lane coefficient, a special road section coefficient and a sensitive area impact coefficient corresponding to the real-time driving area according to a position of the real-time driving area on the preset map; and determining the product of the road curvature coefficient, the road gradient coefficient, the lane coefficient, the special road section coefficient and the sensitive area influence coefficient as a driving area factor in the environment influence factors corresponding to the real-time driving area.
18. The device for dynamically pre-warning and assessing the risk of a hazardous chemical substance transportation vehicle according to claim 16, wherein the environmental impact determination unit is further configured to find the weather influence factor corresponding to the real-time weather in the preset weather conversion relationship.
19. The device according to claim 16, wherein the evaluation unit is further configured to obtain a real-time risk index corresponding to the real-time risk of the hazardous chemical substance transportation vehicle according to R ═ (RI + α) × h, where R is the real-time risk index, RI is the hazardous chemical substance risk index, α is the active safety prevention risk index, and h is the environmental impact factor, where h ═ d · c, d is the driving area factor, and c is the meteorological impact factor.
20. The device for dynamically pre-warning and evaluating the risk of the hazardous chemical substance transportation vehicle according to claim 19, wherein the evaluation unit is further configured to determine a risk level corresponding to the real-time risk index according to a risk index range corresponding to a preset risk level; and when the risk level is higher than a grade threshold value, prompting a user to which the hazardous chemical substance transport vehicle belongs.
21. A machine-readable storage medium having stored thereon instructions for causing a machine to execute the method for risk dynamic warning assessment of hazardous chemical substance transport vehicles of any one of claims 1-10.
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