CN112967007B - Dangerous chemical road transportation risk early warning management system and method - Google Patents

Dangerous chemical road transportation risk early warning management system and method Download PDF

Info

Publication number
CN112967007B
CN112967007B CN202110537174.1A CN202110537174A CN112967007B CN 112967007 B CN112967007 B CN 112967007B CN 202110537174 A CN202110537174 A CN 202110537174A CN 112967007 B CN112967007 B CN 112967007B
Authority
CN
China
Prior art keywords
information
transportation
vehicle
confirming
module
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110537174.1A
Other languages
Chinese (zh)
Other versions
CN112967007A (en
Inventor
宋建国
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shandong Dongyue Safety Technology Co ltd
Original Assignee
Shandong Dongyue Safety Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shandong Dongyue Safety Technology Co ltd filed Critical Shandong Dongyue Safety Technology Co ltd
Priority to CN202110537174.1A priority Critical patent/CN112967007B/en
Publication of CN112967007A publication Critical patent/CN112967007A/en
Application granted granted Critical
Publication of CN112967007B publication Critical patent/CN112967007B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • G06Q10/0832Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/047Optimisation of routes or paths, e.g. travelling salesman problem

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Quality & Reliability (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Development Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Game Theory and Decision Science (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention relates to the technical field of road transportation management and control, and particularly discloses a dangerous chemical road transportation risk early warning management system which comprises a center end, a road condition end and a vehicle end, wherein the center end is used for receiving a traffic request and sending a transportation information acquisition instruction, and the transportation information at least comprises a transportation purpose and cargo information; generating a path plan based on the transportation information, and sending the path plan to a vehicle end; and receiving the driver state information sent by the vehicle side, and confirming the processing measures based on the driver state information. The method comprises the steps of confirming a path plan through a center end, wherein the path plan is an optimal scheme, obtaining road condition information through the road condition end, confirming a problem vehicle based on the road condition information, obtaining driver state information in real time through a vehicle end, judging the driver state information through the center end, and finally confirming a corresponding measure; the method and the system can monitor the state of the driver in real time while ensuring objective conditions, and greatly avoid accidents caused by subjective factors.

Description

Dangerous chemical road transportation risk early warning management system and method
Technical Field
The invention relates to the technical field of road transportation management and control, in particular to a dangerous chemical road transportation risk early warning management system and method.
Background
Petroleum engineering is a very large engineering, is a collection of a plurality of engineering, eliminates the exploration work in the early stage, and in the actual oil production process, well drilling and well cementing are two very important steps, and the well drilling and well cementing can not be separated from drilling fluid, while the well drilling fluid preparation is mostly completed on site, so that a plurality of raw materials are needed, and the raw materials belong to hazardous chemicals, so that the problem of hazardous chemical transportation is involved in the petroleum engineering.
The main dangerous chemicals are eight categories, 1, explosive; 2. compressed gases and combustible gases, particularly including combustible gases, non-combustible gases and toxic-like gases; 3. the flammable liquid is specifically divided into low-flash-point flammable liquid, medium-flash-point flammable liquid and high-flash-point flammable liquid; 4. combustible solids, spontaneous combustion articles and wet combustible articles, and are particularly divided into combustible solids, spontaneous combustion articles and wet combustible articles; 5. oxidizing agents and organic peroxides, which are specifically classified into oxidizing agents and organic peroxides; 6. toxic and infectious agents; 7. radioactive substances, such dangerous chemicals are rare and not related in general; 8. the corrosive products are specifically classified into acidic corrosive products, alkaline corrosive products, and other corrosive products. Hazardous chemicals are chemical products used in many heavy industries, and therefore, the transportation process of hazardous chemicals is a very common process.
Conceivably, the hazardous chemical substance is a transport substance which has great harm to the environment, and the environmental protection problem must be emphasized in both the use process and the transport process, so that a plurality of safety management schemes also exist; however, most of the safety management schemes have large influence on the use process, but have small influence on the transportation process; in the actual transportation process, after loading the car according to the safety management scheme, if no accident occurs, the leakage of hazardous chemical substances hardly occurs, but once the accident occurs, no matter how good the safety management scheme is, the hazardous chemical substances are diffused in a small range if the safety management scheme is light, and the hazardous chemical substances are seriously harmful to human life, which are all undesirable.
For these accidents, the existing management and control method for workers is to check the machine equipment more carefully, check whether there is illegal operation or other indexes, the effect of these management and control methods is certain, but there are many dangerous chemical vehicles that have accidents, and objective reasons are eliminated, it can be thought that the main cause of these accidents is generally caused by drivers, such as the occurrence of the phenomenon of "road rage", and the potential safety hazard of this phenomenon can be thought out; the invention solves the problem that how to detect the state of a driver and better avoid accidents caused by subjective factors is a problem to be solved by the invention.
Disclosure of Invention
The invention aims to provide a dangerous chemical road transportation risk early warning management system and a dangerous chemical road transportation risk early warning management method, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a hazardous chemical substance road transport risk early warning management system, the system comprising: a center end, a road condition end and a vehicle end,
the central terminal is used for receiving the passing request and sending a transportation information acquisition instruction, wherein the transportation information at least comprises a transportation purpose and cargo information; generating a path plan based on the transportation information, and sending the path plan to a vehicle end; receiving driver state information sent by a vehicle end, and confirming a processing measure based on the driver state information;
the road condition end is used for acquiring road condition information and confirming the problem vehicle based on the road condition information; acquiring the license plate number of the problem vehicle, and sending a driver state information acquisition instruction to a vehicle end based on the license plate number;
the vehicle end: the system comprises a central terminal, a route planning module and a prompt message generation module, wherein the route planning module is used for receiving a route plan sent by the central terminal and generating the prompt message; acquiring driver state information in real time, wherein the driver state information at least comprises driver audio information; and receiving a driver state information acquisition instruction sent by a road condition end, and sending the driver state information to a central end.
As a further scheme of the invention: the center end specifically includes:
the system comprises a preparation unit, a control unit and a display unit, wherein the preparation unit is used for receiving a passing request and sending a transportation information acquisition instruction, and the transportation information at least comprises a transportation purpose and cargo information;
the route confirmation unit is used for generating a path plan based on the transportation information and sending the path plan to the vehicle end;
and the processing unit is used for receiving the driver state information sent by the vehicle end and confirming the processing measures based on the driver state information.
As a further scheme of the invention: the road condition end specifically comprises:
the problem vehicle confirming unit is used for acquiring road condition information and confirming the problem vehicle based on the road condition information;
and the instruction sending unit is used for obtaining the license plate number of the problem vehicle and sending a driver state information obtaining instruction to the vehicle end based on the license plate number.
As a further scheme of the invention: the vehicle end specifically includes:
the prompting unit is used for receiving the path plan sent by the central terminal and generating prompting information;
the state acquisition unit is used for acquiring driver state information in real time, wherein the driver state information at least comprises driver audio information;
and the instruction receiving unit is used for receiving the driver state information acquisition instruction sent by the road condition end and sending the driver state information to the center end.
A dangerous chemical road transportation risk early warning management method is applied to a center end and specifically comprises the following steps:
receiving a pass request, and sending a transportation information acquisition instruction, wherein the transportation information at least comprises a transportation destination and cargo information;
generating a path plan based on the transportation information, and sending the path plan to a vehicle end;
and receiving the driver state information sent by the vehicle side, and confirming the processing measures based on the driver state information.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of confirming a path plan through a center end, wherein the path plan is an optimal scheme, obtaining road condition information through the road condition end, confirming a problem vehicle based on the road condition information, obtaining driver state information in real time through a vehicle end, judging the driver state information through the center end, and finally confirming a corresponding measure; the method and the system can monitor the state of the driver in real time while ensuring objective conditions, and greatly avoid accidents caused by subjective factors.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is an architecture diagram of a dangerous chemical road transportation risk early warning management system.
Fig. 2 is a structural diagram of a central end composition of a hazardous chemical substance road transportation risk early warning management system.
Fig. 3 is a configuration diagram of a route confirmation unit in the center terminal.
Fig. 4 is a structural diagram of the total division planning module in the route confirmation unit.
Fig. 5 is a configuration diagram of a processing unit in the center.
Fig. 6 is a structural diagram of a road condition end in the dangerous chemical road transportation risk early warning management system.
Fig. 7 is a configuration diagram of a problem vehicle determination unit in the road side.
Fig. 8 is a composition structure diagram of a vehicle end in the hazardous chemical substance road transportation risk early warning management system.
Fig. 9 is a flow chart of a risk early warning management method for road transportation of hazardous chemical substances.
Fig. 10 is a sub-flow block diagram of a dangerous chemical road transportation risk early warning management method.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Fig. 1 shows an architecture diagram of a hazardous chemical substance road transportation risk early warning management system, where the system architecture includes a central end, a network, road condition ends and vehicle ends, and the road condition ends and the vehicle ends transmit data to each other through the network, where the road condition end sends a driver status information acquisition instruction to one of the vehicle ends, but not sends instructions to all the vehicle ends, and what is meant for the data transmission to each other is that the vehicle ends can generate a feedback signal after receiving the instruction and transmit the feedback signal to the road condition ends; the vehicle end and the center end mutually transmit data through a network, the center end sends a path plan to the vehicle end, and the vehicle end sends driver state information to the center end, and of course, the vehicle end and the center end can also mutually transmit feedback signals, which is not described herein; it is worth mentioning that data interaction also exists between the road condition end and the center end, the route acquisition unit of the center end can send a road condition information acquisition instruction to the road condition end when working, and correspondingly, the road condition end sends the road condition information to the center end; the network may be a medium for providing a communication link, and is mainly a wireless communication link, which is not limited further.
The vehicle end can be hardware or software. When the vehicle end is hardware, the vehicle end can be various electronic devices with a communication function, and in addition, the vehicle end at least has an audio information acquisition function, including but not limited to a sound recorder, a camera with a sound recording function, a microprocessor with a sound recording function, and the like. When the terminal is software, the terminal can be installed in the electronic device, and the electronic device is generally installed in a cab, but does not necessarily need the cab, and only needs to implement functions, and is not particularly limited.
The road condition end can be hardware or software. When the road condition end is hardware, the road condition end can be various electronic devices with communication functions, including but not limited to a velometer and a camera. When the terminal is software, the terminal can be installed in the electronic equipment. It may be implemented as multiple pieces of software or software modules, or as a single piece of software or software module. And is not particularly limited herein. In the prior art, most of devices with the functions on roads are not devices which are difficult to obtain.
It should be noted that the data processing method of the internet of things provided by the embodiment of the present disclosure is generally executed by a central end, and the central end may be hardware or software. When the central end is hardware, the distributed central end cluster formed by a plurality of central ends can be realized, and the distributed central end cluster can also be realized as a single central end. When the central terminal is software, the central terminal may be implemented as a plurality of software or software modules, or may be implemented as a single software or software module, which is not limited herein.
It should be understood that the number of center ends, road ends, and vehicle ends in fig. 1 is merely illustrative. There may be any number of center ends, road ends, and vehicle ends, as desired for implementation.
Example 1
Fig. 2 shows a structural diagram of a central end 10 of the hazardous chemical substance road transportation risk early warning management system, where the central end 10 specifically includes:
the system comprises a preparation unit 101, a control unit and a display unit, wherein the preparation unit 101 is used for receiving a passing request and sending a transportation information acquisition instruction, and the transportation information at least comprises transportation destination and cargo information;
the preparation unit is a preparation working stage before the transportation of the hazardous chemical substances, the transportation purpose and the cargo information are definitely determined in the transportation process of the hazardous chemical substances, the classification standard of the cargo information can be classified by adopting eight traditional categories, and the cargo information can be subdivided on the basis at the moment, which is not detailed, and the cargo information can be used for calculating the subsequent number of similar vehicles; it is worth mentioning that the license plate number of the vehicle is the most effective identification code of the vehicle, the application in the whole system is also throughout, which is summarized by a sentence, and the relationship between the vehicle end and the license plate number is one-to-one; in the process of acquiring the transportation information of the vehicle end, a corresponding license plate number is also acquired, and the transportation information is managed based on the license plate number, wherein the management can be to establish a database and perform data management through a common database operation mode.
A route confirmation unit 102, configured to generate a route plan based on the transportation information, and send the route plan to a vehicle end;
and generating a path plan by the transportation information, and sending the path plan to the vehicle end based on the license plate number, wherein the detailed generation process is described in detail below.
The processing unit 103 is used for receiving the driver state information sent by the vehicle end and confirming a processing measure based on the driver state information;
the purpose of the processing unit is to determine the processing means, which are determined on the basis of driver status information transmitted from the vehicle, wherein the driver status is described in detail, and when dangerous chemicals are transported, the driver is generally not tired and less likely to drink because he is responsible for him, but on the contrary, because of the relative fullness, the driver tends to be more irritable, on the one hand, is confident in his own skill and feels that other vehicles influence his operating speed, on the other hand, wants to complete tasks as soon as possible and get away from danger, and the combination of the two makes it extremely easy for the driver to enter a "road irritability" state, and in the "road irritability" state, it is certain that sensitive words are not available, especially in the case of foul words, and once the driver is detected to be in this state, some processing is necessary, such as sending a warning tone through the vehicle, even directly intercepting for custody; some people may think that this way limits personal freedom, but in the course of dangerous chemical transport, in case of an accident, it may even deprive the driver of his lives, while in contrast a short time limiting personal freedom is feasible in this particular work.
Fig. 3 shows a structural diagram of the route confirmation unit 102 in the central terminal 10, where the route confirmation unit 102 specifically includes:
the pre-scheme generation module 1021 is used for acquiring the transportation information, reading the transportation purpose in the transportation information and generating a passing scheme based on the transportation purpose;
the generation of the pre-solution is a very common sort algorithm, and mathematically, this is a simple permutation and combination problem, that is, how many solutions arrive under the condition of knowing the starting point, the ending point and the transfer station, which is the simplest problem in both mathematical and computer technology applications, and is not described in detail here, but it should be noted that the total solution number can be limited to reduce the amount of calculation, but it is very easy to calculate all solution numbers with the function of the existing computer.
The load amount calculation module 1022 is configured to send a road condition information acquisition instruction to a road condition end, and calculate load amounts of different passing schemes based on the road condition information;
the load calculation module is used for sending a road condition information acquisition instruction to the road condition end, and the instruction sending means directly acquiring information without judgment of the road condition end; from the above, it can be known that the traffic scenario is a set of multiple road segments, the number of vehicles on different road segments is easy to obtain, and calculating the load amount of different traffic scenarios is to perform a summation operation for vehicles on different road segments, and the road segments in different traffic scenarios are necessarily different, so how many traffic scenarios have how many load amounts, but the load amounts of different traffic scenarios may be the same, and details are not described here.
The vehicle number confirming module 1023 is used for reading the cargo information in the transportation information and sequentially confirming the number of similar vehicles in the passing scheme based on the cargo information;
the vehicle number confirming module is used for confirming the number of similar vehicles, the meaning of the number of similar vehicles is not the same as the vehicle logo or the size of the vehicle is the same, but the transported goods belong to the same type, namely the obtaining meaning of the goods information, if the goods information is failed to obtain in the preparation unit, the vehicle number confirming module is in a failure state; after confirming the passing scheme, each vehicle becomes the passing scheme influencing the next vehicle, which influences the load number in the passing scheme and the number of the vehicles of the same type. It is worth mentioning that if it is the first vehicle, then all traffic scenarios are the same, with no difference.
The total score planning module 1024 is used for calculating the total score of the passing scheme based on the load capacity and the number of the similar vehicles and confirming the path planning based on the total score;
the total score planning module is actually a calculation module, variables are load capacity and the number of similar vehicles, total scores of passing schemes are generated by the two variables through a special corresponding relation, and the optimal passing scheme, namely the path planning, can be confirmed by comparing the sizes of the total scores; of course, there are many corresponding relationships, for example: the total score = alpha, the number of similar vehicles/the number of loads, and the alpha is a correction coefficient; the scheme is the simplest scheme, the explanation of the scheme is simple, the total score of the passing scheme is in direct proportion to the number of similar vehicles and in inverse proportion to the number of loads, namely, under the condition that the number of the loads is the same, the more the number of the similar vehicles is, the better the passing scheme is, and under the condition that the number of the similar vehicles is the same, the lower the load is, the better the passing scheme is; the purpose of the correction factor is to bring the total score within a certain range.
Fig. 4 is a block diagram showing the components of the total score planning module in the route confirmation unit 102, and the following is a more excellent algorithm, namely, a detailed description of the total score planning module; the total score planning module 1024 specifically includes:
a first sorting module 10241, configured to identify a highest score and a difference, and generate a base score group based on the highest score and the difference, wherein the element values in the base score group are sorted in a descending order;
the first sequencing module is to generate a score group, the generation process is to confirm a highest score, and the values are sequentially reduced based on the highest score, the reduced value is the above-mentioned difference, it is worth mentioning that the working process of the first sequencing module is only an algorithm, is not a complete program, and details are not detailed, and finally, a score group with sequentially reduced values is generated.
A mapping establishing module 10242, configured to arrange the passing schemes in ascending order based on the load amount, and establish mapping between the basic score group and the passing schemes; wherein, the highest score corresponds to the first passing scheme;
the mapping establishing module is internally provided with components for realizing the sorting function, the sorting function aims at arranging the traffic schemes in an ascending order based on the load quantity, and then establishing mapping between the basic component groups and the traffic schemes, namely, assigning values to each traffic scheme; it is worth mentioning that the relevance between the first sequencing module and the mapping establishing module is very strong, the number of the score group items generated by the first sequencing module is certainly not less than the number of the passing schemes, but the number of the passing schemes is often indefinite, so that the highest score and the highest score in the first sequencing module are changed along with the change of the score, namely, the highest score and the highest score are changed based on the number of the passing schemes, generally, the highest score is unchanged, and the change of the score is more; in addition, in another case, the load of the traffic scenario sets is the same, and their base scores are also the same, which are all specific operations on the base score sets, and belong to the content of programming, which is not the content related to the present invention, and are not described in detail herein.
An additional score calculation module 10243, configured to read the number of similar vehicles in the traffic plan, determine the maximum number of similar vehicles and the minimum number of similar vehicles, generate a correction coefficient based on the maximum number of similar vehicles and the minimum number of similar vehicles, and generate an additional score based on the correction coefficient;
the number of similar vehicles is a second variable, a range is determined based on the maximum number of similar vehicles and the minimum number of similar vehicles, the range is corrected, for example, if the maximum number of similar vehicles is 1000 and the minimum number of similar vehicles is 560, the correction coefficient can be 0.1, the correction coefficient is directly multiplied by the number of different vehicles, the obtained result is directly used as an additional score, and the generated additional score is 56-100 scores and accords with a common scoring system of people; of course, the purpose of the above correction coefficient is to limit the additional score to within 100, which are all examples and are not limiting.
An optimal solution confirmation module 10244, configured to calculate total points of different passing solutions based on the base points and the additional points, and confirm an optimal solution based on the total points;
the basic score and the additional score generate the total score in many ways, simple summation is enough, and the process of determining the optimal scheme based on the total score is simple and judging and inquiring the corresponding passing scheme based on the score.
Fig. 5 is a structural diagram of a processing unit 103 in the central terminal 10, where the processing unit 103 specifically includes:
the waveform generation module 1031 is configured to receive an audio file sent by a vehicle end, decompress the audio file, and generate a pure waveform file;
once the waveform generation module is used, it shows that the vehicle has confirmed the problem, the vehicle end will acquire the audio file and send it to the central end, and after the central end receives the audio file sent by the vehicle end, the first step is decompression, because the audio files for transmission are compressed, the decompression process is a necessary process.
The voice confirmation module 1032 is used for confirming the amplitude threshold value based on the waveform file, intercepting a high-amplitude waveform based on the amplitude threshold value and generating a sub-waveform file; framing the sub-waveform file to generate a plurality of sections of voice;
the core of the voice confirmation module is to intercept a high-amplitude waveform based on an amplitude threshold, which is slightly different from the traditional voice recognition, the traditional voice recognition is to silence and intercept only a silent section in the process, but the vehicle end always moves along with the vehicle and has great noise, and in addition, daily flat speaking sound does not include information to be acquired by the invention, so the information acquisition mode of the module is to intercept the high-amplitude waveform based on the amplitude threshold, and the threshold is a preset value and can be changed; in general terms, the purpose of the module is to capture the high decibel level of visceral words of an abusive person.
A feature extraction module 1033, configured to perform pure acoustic feature extraction on the multiple segments of speech, generate a feature matrix, and determine text information based on the feature matrix;
the purpose of the feature extraction module is to perform acoustic feature extraction and generate a feature matrix, convert speech into a calculable quantity, and validate text information based on the feature matrix.
A sensitive word detection module 1034 for establishing a connection channel with a sensitive word library, acquiring the number of sensitive words in the text information based on the sensitive word library, and confirming a processing measure based on the number of sensitive words;
the sensitive word detection module has a working flow that the text information is traversed sequentially, certainly, the text information is required to be traversed word by word, a connecting channel with a sensitive word stock is established, the sensitive word stock is traversed on the basis of each word, whether the word is a sensitive word is confirmed, and if the word is a sensitive word, counting is carried out; in summary, the sensitive word detection module is a dual cycle module.
Fig. 6 is a structural diagram of a road condition end 11 in the dangerous chemical road transportation risk early warning management system, where the road condition end 11 specifically includes:
a problem vehicle confirming unit 111, configured to acquire road condition information and confirm a problem vehicle based on the road condition information;
and acquiring road condition information, and judging the road condition information, so that vehicles with problems can be screened out, and detailed details can be provided in the specific screening process.
The instruction sending unit 112 is configured to obtain a license plate number of the vehicle in question, and send a driver state information obtaining instruction to a vehicle end based on the license plate number;
after a problem vehicle is confirmed, the license plate number of the problem vehicle is obtained in the first step, then the vehicle end is located through the license plate number of the vehicle, and a driver state information obtaining instruction is sent.
Fig. 7 is a structural diagram of a problem vehicle determination unit 111 in the road end 11, where the problem vehicle determination unit 111 specifically includes:
the acceleration calculation module 1111 is used for acquiring the speed of the vehicle at intervals and calculating the acceleration of the vehicle based on the speed of the vehicle;
the acceleration calculation module is used for acquiring the vehicle speed at intervals, and various ways are available for realizing the function, such as arranging vehicle detectors at intervals to acquire the vehicle speed at different positions, and of course, the vehicle speed can be confirmed based on pictures by taking pictures, and calculating the acceleration is a very simple process under the condition that the vehicle speed is known; of course, the existing velocimeters can measure acceleration directly, and it is also feasible to calculate the average acceleration based on the accelerations at different positions, it is worth mentioning that these algorithms are somewhat different, and the difference in obtaining the vehicle speed at intervals is that the separation distance can be adjusted, which also becomes an influencing factor.
A risk level generation module 1112, configured to determine a vehicle acceleration threshold, determine magnitudes of the acceleration and the acceleration threshold, generate an out-of-line frequency based on a determination result, and generate a vehicle risk level based on the out-of-line frequency;
under normal operating mode, that is, under the condition that the vehicle distance is far away, the acceleration can not change greatly, but if the phenomenon of following the vehicle appears, the acceleration fluctuation appears, the frequency of the acceleration fluctuation often represents that the annoyance degree of the vehicle owner is in direct proportion, when the acceleration changes, the vehicle owner accelerates or decelerates, which actually influences the mind state of the driver very much, but in the transportation process of dangerous chemicals, the bad mind state is easy to have accidents, and is certain to be stopped, and the dangerous grade aims to form a buffer zone, that is, under the condition that the slight fluctuation appears, measures are not necessarily taken.
The distance judgment module 1113 is used for acquiring the front-rear distance of the vehicle based on the danger level of the vehicle, judging the size of the front-rear distance of the vehicle and confirming the vehicle with the problem based on the judgment result;
for vehicles with high danger levels, the front-rear distance of the vehicle needs to be detected, specific detection modes are multiple, even a distance measuring and calculating function can be moved to a vehicle end, a vehicle front-rear distance obtaining instruction is directly sent, whether the vehicle is a problem vehicle is determined again according to the size of the front-rear distance of the vehicle, and the condition is a secondary judgment condition to prevent misjudgment, because measures are taken, a manager and a driver do not want to do the matter.
Fig. 8 shows a composition structure diagram of a vehicle end 12 in a hazardous chemical substance road transportation risk early warning management system, where the vehicle end 12 specifically includes:
the prompting unit 121 is configured to receive the path plan sent by the central end and generate prompting information;
the vehicle end and the vehicle are integrated, the path planning sent by the center end is received, the prompt information is generated, and the driver is informed of the prompt information, so that the navigation with more detailed functions can be understood.
A state obtaining unit 122, configured to obtain driver state information in real time, where the driver state information at least includes driver audio information;
the vehicle end is generally arranged in a cab and used for acquiring driver state information in real time, wherein the driver state information at least comprises driver audio information; in fact, the function is not necessarily limited to audio information acquisition, but other information, such as video information, can be acquired to observe the driver state more accurately, but a mode based on the audio acquisition state is detailed in the present invention.
The instruction receiving unit 123 is configured to receive a driver state information acquisition instruction sent by a road condition end, and send the driver state information to a central end;
the instruction receiving unit is a common input/output module, but the directions are different, on one hand, the instruction receiving unit receives the instruction sent by the road condition end, and on the other hand, the instruction receiving unit sends the driver state information to the center end.
Example 2
Fig. 9 shows a flow diagram of a risk early warning management method for road transportation of hazardous chemical substances, and in an embodiment of the present invention, a risk early warning management method for road transportation of hazardous chemical substances is provided, where the method is applied to a central end, and the method specifically includes:
step S1: receiving a pass request, and sending a transportation information acquisition instruction, wherein the transportation information at least comprises a transportation destination and cargo information;
the step S1 is completed by the preparation unit 101;
step S2: generating a path plan based on the transportation information, and sending the path plan to a vehicle end;
said step S2 is completed by the route confirmation unit 102;
step S3: receiving driver state information sent by a vehicle end, and confirming a processing measure based on the driver state information;
said step S3 is performed by the processing unit 103.
Fig. 10 shows a sub-flow block diagram of the dangerous chemical road transportation risk early warning management method, which details the step S2, where the specific steps of generating a path plan based on the transportation information and sending the path plan to the vehicle end include:
step S21: acquiring transportation information, reading a transportation purpose in the transportation information, and generating a passing scheme based on the transportation purpose;
the step S21 is completed by the pre-solution generation module 1021.
Step S22: sending a road condition information acquisition instruction to a road condition end, and calculating the load capacity of different passing schemes based on the road condition information;
the step S22 is completed by the load amount calculation module 1022.
Step S23: reading cargo information in the transportation information, and sequentially confirming the number of similar vehicles in the passing scheme based on the cargo information;
the step S23 is completed by the vehicle number confirmation module 1023.
Step S24: calculating the total score of the passing scheme based on the load capacity and the number of the similar vehicles, and confirming the path planning based on the total score;
the step S24 is completed by the total score planning module 1024.
The functions that the above-mentioned danger chemical substance road transportation risk early warning management system can realize are all accomplished by computer equipment, computer equipment includes one or more processors and one or more storages, store at least one program code in one or more storages, program code is loaded and executed by one or more processors in order to realize the function of danger chemical substance road transportation risk early warning management system.
The processor fetches instructions and analyzes the instructions one by one from the memory, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection device is arranged outside the Memory.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
Those skilled in the art will appreciate that the above description of the service device is merely exemplary and not limiting of the terminal device, and may include more or less components than those described, or combine certain components, or different components, such as may include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth-state display system (e.g., product information acquisition templates corresponding to different product types, product information that needs to be issued by different product providers, etc.), and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used by a processor to implement the functions of the embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that, in this document, 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 like elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (6)

1. A dangerous chemical road transportation risk early warning management system is characterized by comprising a center end, a road condition end and a vehicle end,
the central terminal is used for receiving the passing request and sending a transportation information acquisition instruction, wherein the transportation information at least comprises a transportation purpose and cargo information; generating a path plan based on the transportation information, and sending the path plan to a vehicle end; receiving driver state information sent by a vehicle end, and confirming a processing measure based on the driver state information;
the road condition end is used for acquiring road condition information and confirming the problem vehicle based on the road condition information; acquiring the license plate number of the problem vehicle, and sending a driver state information acquisition instruction to a vehicle end based on the license plate number;
the vehicle end: the system comprises a central terminal, a route planning module and a prompt message generation module, wherein the route planning module is used for receiving a route plan sent by the central terminal and generating the prompt message; acquiring driver state information in real time, wherein the driver state information at least comprises driver audio information; receiving a driver state information acquisition instruction sent by a road condition end, and sending the driver state information to a central end;
the central terminal at least comprises a processing unit, and the processing unit specifically comprises:
the waveform generation module is used for receiving an audio file sent by a vehicle end, decompressing the audio file and generating a pure waveform file;
the voice confirmation module is used for confirming an amplitude threshold value based on the waveform file, intercepting a high-amplitude waveform based on the amplitude threshold value and generating a sub-waveform file; framing the sub-waveform file to generate a plurality of sections of voice;
the feature extraction module is used for extracting pure acoustic features of the multiple sections of voice to generate a feature matrix and confirming text information based on the feature matrix;
and the sensitive word detection module is used for establishing a connection channel with a sensitive word library, acquiring the number of sensitive words in the text information based on the sensitive word library and confirming the processing measures based on the number of sensitive words.
2. The system for managing risk early warning of hazardous chemical substance road transportation according to claim 1, wherein the route confirmation unit specifically comprises:
the system comprises a pre-scheme generation module, a traffic scheme generation module and a traffic scheme generation module, wherein the pre-scheme generation module is used for acquiring transportation information, reading a transportation purpose in the transportation information and generating a traffic scheme based on the transportation purpose;
the load quantity calculation module is used for sending a road condition information acquisition instruction to a road condition end and calculating the load quantities of different passing schemes based on the road condition information;
the vehicle number confirming module is used for reading the cargo information in the transportation information and sequentially confirming the number of similar vehicles in the passing scheme based on the cargo information;
and the total score planning module is used for calculating the total score of the passing scheme based on the load capacity and the number of the similar vehicles and confirming the path planning based on the total score.
3. The system for early warning and managing risk of road transportation of hazardous chemical substances according to claim 2, wherein the total distribution planning module specifically comprises:
the first sorting module is used for confirming the highest score and the difference, generating a basic score group based on the highest score and the difference, and sorting the element values in the basic score group in a descending order;
the mapping establishing module is used for arranging the passing schemes in an ascending order based on the load quantity and establishing mapping between the basic score groups and the passing schemes; wherein, the highest score corresponds to the first passing scheme;
the additional score calculation module is used for reading the number of similar vehicles in the passing scheme, confirming the maximum number of similar vehicles and the minimum number of similar vehicles, generating a correction coefficient based on the maximum number of similar vehicles and the minimum number of similar vehicles, and generating an additional score based on the correction coefficient;
and the optimal scheme confirmation module is used for calculating total scores of different passing schemes based on the basic score group and the additional scores and confirming the optimal scheme based on the total scores.
4. The system for managing risk early warning of road transportation of hazardous chemical substances according to claim 1, wherein the problem vehicle confirming unit specifically comprises:
the acceleration calculation module is used for acquiring the speed of the vehicle at intervals and calculating the acceleration of the vehicle based on the speed of the vehicle;
the danger level generation module is used for confirming a vehicle acceleration threshold value, judging the magnitude of the acceleration and the acceleration threshold value, generating line crossing frequency based on a judgment result, and generating a vehicle danger level based on the line crossing frequency;
and the distance judgment module is used for acquiring the front-rear distance of the vehicle based on the danger level of the vehicle, judging the size of the front-rear distance of the vehicle and confirming the problem vehicle based on the judgment result.
5. A risk early warning management method for road transportation of hazardous chemical substances, which is applied to the risk early warning management system for road transportation of hazardous chemical substances according to any one of claims 1 to 4, and specifically comprises:
receiving a pass request, and sending a transportation information acquisition instruction, wherein the transportation information at least comprises a transportation destination and cargo information;
generating a path plan based on the transportation information, and sending the path plan to a vehicle end;
and receiving the driver state information sent by the vehicle side, and confirming the processing measures based on the driver state information.
6. The method for managing risk early warning of road transportation of hazardous chemical substances according to claim 5, wherein the specific steps of generating a path plan based on the transportation information and sending the path plan to a vehicle end include:
acquiring transportation information, reading a transportation purpose in the transportation information, and generating a passing scheme based on the transportation purpose;
sending a road condition information acquisition instruction to a road condition end, and calculating the load capacity of different passing schemes based on the road condition information;
reading cargo information in the transportation information, and sequentially confirming the number of similar vehicles in the passing scheme based on the cargo information;
and calculating the total score of the passing scheme based on the load capacity and the number of the similar vehicles, and confirming the path planning based on the total score.
CN202110537174.1A 2021-05-18 2021-05-18 Dangerous chemical road transportation risk early warning management system and method Active CN112967007B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110537174.1A CN112967007B (en) 2021-05-18 2021-05-18 Dangerous chemical road transportation risk early warning management system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110537174.1A CN112967007B (en) 2021-05-18 2021-05-18 Dangerous chemical road transportation risk early warning management system and method

Publications (2)

Publication Number Publication Date
CN112967007A CN112967007A (en) 2021-06-15
CN112967007B true CN112967007B (en) 2021-07-20

Family

ID=76279737

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110537174.1A Active CN112967007B (en) 2021-05-18 2021-05-18 Dangerous chemical road transportation risk early warning management system and method

Country Status (1)

Country Link
CN (1) CN112967007B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113284343B (en) * 2021-07-22 2021-10-01 江西交通职业技术学院 Traffic monitoring system and method based on intelligent traffic Internet of things
CN113850484A (en) * 2021-09-10 2021-12-28 武汉中极氢能源发展有限公司 Method and device for processing hydrogen data, storage medium and processor

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019246246A1 (en) * 2018-06-20 2019-12-26 Cavh Llc Connected automated vehicle highway systems and methods related to heavy vehicles
CN108629965A (en) * 2018-06-28 2018-10-09 安康学院 A kind of traffic safety control system based on Internet of Things
CN110033615B (en) * 2019-03-22 2020-09-01 山西省交通科学研究院有限公司 Road dangerous cargo transportation dynamic risk assessment method based on Internet of things
CN110751381A (en) * 2019-09-30 2020-02-04 东南大学 Road rage vehicle risk assessment and prevention and control method
CN111179551A (en) * 2019-12-17 2020-05-19 西安工程大学 Real-time monitoring method for dangerous chemical transport driver
CN211181056U (en) * 2020-03-13 2020-08-04 山东航天九通车联网有限公司 Intelligent human-vehicle road early warning system
CN111605556B (en) * 2020-06-05 2022-06-07 吉林大学 Road rage prevention recognition and control system
CN111898934A (en) * 2020-06-17 2020-11-06 东营市东电网络科技有限公司 Hazardous chemical substance road transportation informatization safety supervision system
CN213123276U (en) * 2020-09-15 2021-05-04 山西省交通科技研发有限公司 Dangerous chemical vehicle in-out tunnel early warning and precaution system
CN112435465A (en) * 2020-10-23 2021-03-02 贾雨欣 Key vehicle management system and method
CN112419723A (en) * 2020-11-19 2021-02-26 重庆同枥信息技术有限公司 Safety supervision method and equipment for hazardous chemical substance transport vehicle based on traffic prediction
CN112370037B (en) * 2020-11-24 2022-10-14 惠州华阳通用电子有限公司 Safe driving method and system based on emotion recognition

Also Published As

Publication number Publication date
CN112967007A (en) 2021-06-15

Similar Documents

Publication Publication Date Title
CN112967007B (en) Dangerous chemical road transportation risk early warning management system and method
KR960015310A (en) System and method for determining whether a software package complies with packaging rules and requirements
CN112069251A (en) Vehicle-to-vehicle sensor data sharing
CN111144485B (en) Vehicle accident judging method and system based on xgboost classification algorithm
CN101551836B (en) Code audit method and device
CN115796728A (en) Port dangerous cargo safety traceability management system
CN114490910A (en) Map generation method and device, electronic equipment and storage medium
Costescu Keeping the autonomous vehicles accountable: Legal and Logic Analysis on Traffic Code
Gasparri Risks and opportunities of RegTech and SupTech developments
US7647287B1 (en) Suggesting a relationship for a node pair based upon shared connections versus total connections
CN114593800B (en) Bridge dynamic load identification method and device, electronic equipment and storage medium
CN115080827A (en) Sensitive data processing method and device
CN115384536A (en) Evaluation method, device, equipment and medium for driving assistance system controller
CN114282862A (en) Repeated freight order processing method and device, electronic equipment and storage medium
CN111368694B (en) Bayonet checking method and electronic equipment
KR20230116543A (en) Method and system for monitoring route of vehicles in waste management services
TW202219789A (en) Data processing method, device, apparatus and medium
KR102300777B1 (en) Waste treatment system
CN114577385A (en) Bridge dynamic load identification method and device
CN112948423A (en) Ship data query method and device and ship notarization system
KR20210156502A (en) Cargo transportation status management system and method
CN116233903B (en) Communication abnormality detection method, device and medium for V2X device
CN110553681A (en) method and apparatus for monitoring discharge of waste, and computer-readable storage medium
Rahman et al. Global reach of conceptual models used in ageism and dementia studies: a scoping review
CN116703622B (en) Vehicle damage identification method and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant