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CN115331462B - Intelligent fire control special service vehicle control method based on vehicle-road cooperation - Google Patents

Intelligent fire control special service vehicle control method based on vehicle-road cooperation
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CN115331462B
CN115331462BCN202210901310.5ACN202210901310ACN115331462BCN 115331462 BCN115331462 BCN 115331462BCN 202210901310 ACN202210901310 ACN 202210901310ACN 115331462 BCN115331462 BCN 115331462B
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path
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vehicle
special service
alarm
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CN115331462A (en
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肖炯恩
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GUANGZHOU SAIBAO LIANRUI INFORMATION TECHNOLOGY CO LTD
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GUANGZHOU SAIBAO LIANRUI INFORMATION TECHNOLOGY CO LTD
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Abstract

The invention relates to the technical field of special duty management and control, and discloses a smart fire control special duty vehicle control method based on vehicle-road cooperation, which comprises the following steps: s100, acquiring fire alarm information according to alarm information; s200, analyzing road conditions according to fire alarm information and generating a planned path; s300, starting a special duty vehicle to get out of duty according to the planned path; s400, confirming the intersection position of the special service vehicle at the road side; s500, the signal lamp of the next intersection of the special service vehicle is adjusted, fire information can be automatically obtained according to alarm information, then a planning path which can reach a destination most quickly is generated by combining analysis of road conditions, and the special service vehicle is started to get out.

Description

Intelligent fire control special service vehicle control method based on vehicle-road cooperation
Technical Field
The invention relates to the technical field of special service management and control, in particular to an intelligent fire control special service vehicle control method based on vehicle-road cooperation.
Background
The special duty vehicles, as the name implies, are special duty vehicles, including armed escort guards, security technologies, security special duty vehicles, fire-fighting vehicles and other vehicles, and are used for executing tasks with special requirements, so that the special duty vehicles generally have severe requirements on working efficiency and response speed.
At present, since the traffic flow in the city is large and the fluctuation of the smoothness is also large, under the circumstances of different time periods and the same path, the time for the special service vehicle to reach the target place can be greatly changed, which is not acceptable for the special service vehicle for executing the task.
At present, traffic signal control is the most common traffic management form of urban road intersections, and the traditional traffic signal control method is timing control, namely, traffic signals of the road intersections are operated according to a timing scheme preset by a system. Along with the increase of the number of urban motor vehicles, the traffic flow complexity of the road intersection is improved, and in order to improve the traffic capacity and traffic efficiency of the road intersection, an intelligent traffic signal control system is gradually applied to traffic management of the urban road intersection. The intelligent traffic signal control system mainly detects the traffic flow of each lane in real time by burying automatic detection equipment on the road intersection, namely the inlet and outlet pavement of the intersection, and then optimizes and adjusts the timing of the intersection signal lamp on line according to the size of the traffic flow so as to adapt to the change of the current traffic flow, wherein the traffic flow is the traffic flow formed by continuous running of automobiles on the road, and the traffic flow also comprises the traffic flow and the traffic flow formed by other vehicles in a broad sense.
Therefore, the traffic signal can be regulated and controlled by monitoring the traffic flow, and the time for the special service vehicle to reach the target place is maintained in a reasonable range as much as possible. However, once the traffic flow is excessive, in the case of traffic jams, merely regulating the traffic signal has not been satisfactory.
Disclosure of Invention
The invention aims to provide an intelligent fire control special service vehicle control method based on vehicle-road cooperation, which solves the following technical problems:
how to provide a control method and a control system capable of improving the duty efficiency of the fire-fighting special duty vehicle.
The aim of the invention can be achieved by the following technical scheme:
a control method of intelligent fire control special service vehicles based on vehicle-road cooperation comprises the following steps:
s100, acquiring fire alarm information according to alarm information;
s200, analyzing road conditions according to the fire alarm information and generating a planned path;
s300, starting a special service vehicle to get out of service according to the planned path;
s400, confirming the intersection position of the special service vehicle at the road side;
s500, signal lamps at the next intersection of the special service vehicle are adjusted.
According to the technical scheme, fire alarm information can be automatically acquired according to the alarm information, then, after a planning path which can reach a destination most quickly is generated by combining with the analysis of road conditions, the attendance of the special service vehicle is started, when the position of the intersection is confirmed, the position of the special service vehicle can be confirmed, so that a signal lamp of the next intersection can be adjusted according to the planning path, the special service vehicle does not need to wait for a red lamp to directly pass through when passing through the next intersection, and the attendance efficiency of the special service vehicle is improved.
As a further scheme of the invention: the step S100 includes:
step S101, collecting alarm telephone voice containing the alarm information;
step S102, extracting alarm keywords in the alarm telephone voice by using a natural semantic extraction technology;
and step S103, generating the fire alarm information according to the alarm keywords.
According to the technical scheme, because the general alarm telephone voice is a dialogue between the answering person and the alarm person, the answering person can reiterate and strengthen the description of the alarm person, so that the alarm keywords in the answering person can be extracted by using a natural semantic extraction technology, and then fire alarm information in a standard format is generated according to the alarm keywords, so that the recognition and task allocation are convenient.
As a further scheme of the invention: the alarm keywords comprise alarm places, alarm reasons, alarm time and alarm levels;
step S200 includes the steps of:
step S201, searching n fire stations provided with the special service vehicles, which are closest to the police situation site;
step S202, calculating the time required for the nth fire station to reach the alert location through the simulation path; the simulation path is the shortest path and the most unobstructed path of the fire station from the police situation site;
and step S203, combining the shortest path and the unobstructed path to generate the planned path.
According to the technical scheme, n can be set to be 3, one fire station is taken as an example, the shortest path and the most unobstructed path of the fire station reaching the alert place are calculated, the shortest path and the most unobstructed path are combined to obtain the planned path, the specific situations of the planned paths corresponding to the 3 fire stations are compared, and one optimal path is selected as the planned path.
As a further scheme of the invention: the step S203 includes:
acquiring a road section congestion parameter Pm, a straight traffic flow parameter Qm, a turning traffic flow parameter Tm and a road section length score Lm of each road section in all paths from the fire station to the alert location; wherein m is a road section label;
the congestion score Tm for road segment m is calculated,wherein a is a coefficient related to the congestion length of the road section, and b and c are coefficients related to the traffic flow of the straight-going vehicle and the traffic flow of the turning vehicle respectively;
and calculating a path congestion score Tn and a road section length and path length score Ln, and obtaining a comprehensive score Zn.
Through the technical scheme, the congestion condition of each road section in the path and the straight or turning traffic flow condition are considered, the overall length condition of the path is considered, the congestion condition is more serious, the congestion score is higher, the path length is longer, the score of the corresponding path length is higher, the evaluation analysis is carried out on the current path to obtain the comprehensive score, the current path is used as the basis for selecting the optimal planning path, the planning path can be selected more accurately, and the advancing efficiency of the special service vehicle is improved to the greatest extent.
As a further scheme of the invention: the method for calculating the path congestion score Tn and the path length score Ln and obtaining the comprehensive score Zn comprises the following steps:
the calculation formula of the path congestion score Tn is as follows: tn= (tmax+tnx/r)/2;
tmax is the congestion score of the road section with the highest congestion degree, tnx is the sum of the congestion scores of all other road sections except the road section with the highest congestion degree in the path, and r is the number of all other road sections except the road section with the highest congestion degree;
the path length score Ln is obtained through the comparison result of the path length and a preset comparison table;
wherein zn= fTn + kLn, f > k; and selecting the path with the lowest comprehensive score Zn as the planning path.
Through the technical scheme, the consideration weight of the road section with the highest congestion degree is improved, and the consideration weight of the overall congestion condition of the path is improved, so that the waste of the traffic light signal adjusting function can be avoided, congestion can occur due to overlarge accident or traffic flow under the condition of the green light, and the traffic efficiency of special service vehicles is further ensured.
As a further scheme of the invention: the step S400 includes:
s401, monitoring whether the special service vehicle is in place at an intersection in real time;
s402, if the special service vehicle is monitored to reach the designated position, updating traffic light information of the next intersection in real time, and pushing the traffic light information to the special service vehicle.
Through the technical scheme, the position of the special service vehicle can be accurately determined, and errors cannot be generated because the position of the designated position is determined, so that accurate adjustment and switching of traffic light information can be facilitated.
As a further scheme of the invention: the step S500 includes:
estimating the remaining time of the special service vehicle reaching the next intersection;
and switching the green light traffic state after the corresponding traffic light information of the next intersection arrives at the remaining time according to the planned path.
Through the technical scheme, the special service vehicle can reach a request place by one green light.
As a further scheme of the invention: an intelligent fire and defense special service vehicle control system based on vehicle-road cooperation, comprising:
the alarm condition acquisition module is used for acquiring fire alarm information according to the alarm information;
the road condition analysis module is used for carrying out road condition analysis according to the fire alarm information;
the path planning module is used for generating a planned path according to the fire information and the road condition analysis result;
the attendance command platform is used for starting the attendance of the special duty vehicle according to the planned path;
the positioning module is used for positioning the special service vehicle;
the OBU communication module is arranged on the special service vehicle and is used for sending out a specified signal;
the road side RSU module is arranged at the road side position and used for establishing a communication data exchange relation with the OBU communication module according to the specified signal;
and the traffic control module is used for adjusting the signal lamp of the next intersection of the special service vehicle.
The invention has the beneficial effects that:
(1) The fire alarm information can be automatically acquired according to the alarm information, then a planning path which can reach a destination most quickly is generated by combining the analysis of road conditions, the attendance of the special duty vehicle is started, and when the position of the intersection is confirmed, the position of the special duty vehicle can be confirmed, so that the signal lamp of the next intersection can be adjusted according to the planning path, the special duty vehicle does not need to wait for the red lamp to directly pass when passing through the next intersection, and the attendance efficiency of the special duty vehicle is improved;
(2) Because the general alarm telephone voice is a dialogue between an answering person and an alarm person, the answering person can reiterate and strengthen the description of the alarm person, so that the natural semantic extraction technology can be utilized to extract alarm keywords in the conversation, and then fire information in a standard format is generated according to the alarm keywords, thereby facilitating identification and task allocation;
(3) The method has the advantages that the congestion condition of each road section in the path and the situation of straight running or turning traffic flow are considered, the overall length condition of the path is considered, the congestion condition is more serious, the congestion score is higher, the path length is longer, the score of the corresponding path length is higher, the current path is evaluated and analyzed to obtain the comprehensive score, the next time is used as the basis for selecting the optimal planning path, the planning path can be more accurately selected, and the travelling efficiency of special service vehicles is improved to the greatest extent.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a specific implementation of the intelligent fire prevention special service vehicle control method in the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention relates to a smart fire control special service vehicle control method based on vehicle-road cooperation, which comprises the following steps:
s100, acquiring fire alarm information according to alarm information; the fire information is the alarm information in fig. 1;
s200, analyzing road conditions according to the fire alarm information and generating a planned path;
s300, starting a special service vehicle to get out of service according to the planned path;
s400, confirming the intersection position of the special service vehicle at the road side;
s500, signal lamps at the next intersection of the special service vehicle are adjusted.
According to the technical scheme, fire alarm information can be automatically acquired according to the alarm information, then, after a planning path which can reach a destination most quickly is generated by combining with the analysis of road conditions, the attendance of the special service vehicle is started, when the position of the intersection is confirmed, the position of the special service vehicle can be confirmed, so that a signal lamp of the next intersection can be adjusted according to the planning path, the special service vehicle does not need to wait for a red lamp to directly pass through when passing through the next intersection, and the attendance efficiency of the special service vehicle is improved.
As a further scheme of the invention: the step S100 includes:
step S101, collecting alarm telephone voice containing the alarm information;
step S102, extracting alarm keywords in the alarm telephone voice by using a natural semantic extraction technology;
and step S103, generating the fire alarm information according to the alarm keywords.
According to the technical scheme, because the general alarm telephone voice is a dialogue between the answering person and the alarm person, the answering person can reiterate and strengthen the description of the alarm person, so that the alarm keywords in the answering person can be extracted by using a natural semantic extraction technology, and then fire alarm information in a standard format is generated according to the alarm keywords, so that the recognition and task allocation are convenient.
As a further scheme of the invention: the alarm keywords comprise alarm places, alarm reasons, alarm time and alarm levels;
step S200 includes the steps of:
step S201, searching n fire stations provided with the special service vehicles, which are closest to the police situation site;
step S202, calculating the time required for the nth fire station to reach the alert location through the simulation path; the simulation path is the shortest path and the most unobstructed path of the fire station from the police situation site;
and step S203, combining the shortest path and the unobstructed path to generate the planned path.
According to the technical scheme, n can be set to be 3, one fire station is taken as an example, the shortest path and the most unobstructed path of the fire station reaching the alert place are calculated, the shortest path and the most unobstructed path are combined to obtain the planned path, the specific situations of the planned paths corresponding to the 3 fire stations are compared, and one optimal path is selected as the planned path.
As a further scheme of the invention: the step S203 includes:
acquiring a road section congestion parameter Pm, a straight traffic flow parameter Qm, a turning traffic flow parameter Tm and a road section length score Lm of each road section in all paths from the fire station to the alert location; wherein m is a road section label;
the congestion score Tm for road segment m is calculated,wherein a is a coefficient related to the congestion length of the road section, and b and c are coefficients related to the traffic flow of the straight-going vehicle and the traffic flow of the turning vehicle respectively;
and calculating a path congestion score Tn and a road section length and path length score Ln, and obtaining a comprehensive score Zn.
Through the technical scheme, the congestion condition of each road section in the path and the straight or turning traffic flow condition are considered, the overall length condition of the path is considered, the congestion condition is more serious, the congestion score is higher, the path length is longer, the score of the corresponding path length is higher, the evaluation analysis is carried out on the current path to obtain the comprehensive score, the current path is used as the basis for selecting the optimal planning path, the planning path can be selected more accurately, and the advancing efficiency of the special service vehicle is improved to the greatest extent.
As a further scheme of the invention: the method for calculating the path congestion score Tn and the path length score Ln and obtaining the comprehensive score Zn comprises the following steps:
the calculation formula of the path congestion score Tn is as follows: tn= (tmax+tnx/r)/2;
tmax is the congestion score of the road section with the highest congestion degree, tnx is the sum of the congestion scores of all other road sections except the road section with the highest congestion degree in the path, and r is the number of all other road sections except the road section with the highest congestion degree;
the path length score Ln is obtained through the comparison result of the path length and a preset comparison table;
wherein zn= fTn + kLn, f > k; and selecting the path with the lowest comprehensive score Zn as the planning path.
Through the technical scheme, the consideration weight of the road section with the highest congestion degree is improved, and the consideration weight of the overall congestion condition of the path is improved, so that the waste of the traffic light signal adjusting function can be avoided, congestion can occur due to overlarge accident or traffic flow under the condition of the green light, and the traffic efficiency of special service vehicles is further ensured.
As a further scheme of the invention: the step S400 includes:
s401, monitoring whether the special service vehicle is in place at an intersection in real time;
s402, if the special service vehicle is monitored to reach the designated position, updating traffic light information of the next intersection in real time, and pushing the traffic light information to the special service vehicle.
Through the technical scheme, the position of the special service vehicle can be accurately determined, and errors cannot be generated because the position of the designated position is determined, so that accurate adjustment and switching of traffic light information can be facilitated.
As a further scheme of the invention: the step S500 includes:
estimating the remaining time of the special service vehicle reaching the next intersection;
and switching the green light traffic state after the corresponding traffic light information of the next intersection arrives at the remaining time according to the planned path.
Through the technical scheme, the special service vehicle can reach a request place by one green light.
As a further scheme of the invention: an intelligent fire and defense special service vehicle control system based on vehicle-road cooperation, comprising:
the alarm condition acquisition module is used for acquiring fire alarm information according to the alarm information;
the road condition analysis module is used for carrying out road condition analysis according to the fire alarm information;
the path planning module is used for generating a planned path according to the fire information and the road condition analysis result;
the attendance command platform is used for starting the attendance of the special duty vehicle according to the planned path;
the positioning module is used for positioning the special service vehicle;
the OBU communication module is arranged on the special service vehicle and is used for sending out a specified signal;
the road side RSU module is arranged at the road side position and used for establishing a communication data exchange relation with the OBU communication module according to the specified signal;
and the traffic control module is used for adjusting the signal lamp of the next intersection of the special service vehicle.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.

Claims (5)

CN202210901310.5A2022-07-282022-07-28Intelligent fire control special service vehicle control method based on vehicle-road cooperationActiveCN115331462B (en)

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CN116030635B (en)*2023-03-222023-06-30山东工程职业技术大学Intelligent network communication decision module for intelligent fire engine

Citations (11)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN105788330A (en)*2016-04-292016-07-20百度在线网络技术(北京)有限公司Real-time road-condition early warning method of unmanned vehicle and apparatus thereof
CN107146429A (en)*2017-07-032017-09-08辽宁科技大学 A Traffic Light Control Method Based on Image and GPS Information Fusion
CN107680378A (en)*2017-11-072018-02-09中车株洲电力机车有限公司A kind of accident surveying method, system, equipment and computer-readable storage medium
CN107730933A (en)*2017-09-112018-02-23广州市高科通信技术股份有限公司A kind of special duty's traffic management method, electronic equipment, storage medium, system
WO2018072354A1 (en)*2016-10-202018-04-26深圳市元征科技股份有限公司Lane guide method and device
CN111429735A (en)*2020-03-262020-07-17中国联合网络通信集团有限公司Motor vehicle signal lamp control method and device and computer readable storage medium
CN211124382U (en)*2020-06-162020-07-28南昌金科交通科技股份有限公司Remote traffic special duty real-time control system integrating Bluetooth and ultrahigh frequency communication
JP2020129327A (en)*2019-02-122020-08-27オムロン株式会社Sensing and controlling device, signal control system, sensing and controlling method, and sensing and controlling program
CN113784079A (en)*2021-11-102021-12-10佛山市消防救援支队Fire-fighting visual alarm system and method
WO2022099643A1 (en)*2020-11-132022-05-19金序能Method for alleviating traffic congestion
CN114582114A (en)*2022-02-182022-06-03广州华生信息科技有限公司Fire-fighting vehicle priority passing system based on Internet of things, control method, computer-readable storage medium and terminal

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN105788330A (en)*2016-04-292016-07-20百度在线网络技术(北京)有限公司Real-time road-condition early warning method of unmanned vehicle and apparatus thereof
WO2018072354A1 (en)*2016-10-202018-04-26深圳市元征科技股份有限公司Lane guide method and device
CN107146429A (en)*2017-07-032017-09-08辽宁科技大学 A Traffic Light Control Method Based on Image and GPS Information Fusion
CN107730933A (en)*2017-09-112018-02-23广州市高科通信技术股份有限公司A kind of special duty's traffic management method, electronic equipment, storage medium, system
CN107680378A (en)*2017-11-072018-02-09中车株洲电力机车有限公司A kind of accident surveying method, system, equipment and computer-readable storage medium
JP2020129327A (en)*2019-02-122020-08-27オムロン株式会社Sensing and controlling device, signal control system, sensing and controlling method, and sensing and controlling program
CN111429735A (en)*2020-03-262020-07-17中国联合网络通信集团有限公司Motor vehicle signal lamp control method and device and computer readable storage medium
CN211124382U (en)*2020-06-162020-07-28南昌金科交通科技股份有限公司Remote traffic special duty real-time control system integrating Bluetooth and ultrahigh frequency communication
WO2022099643A1 (en)*2020-11-132022-05-19金序能Method for alleviating traffic congestion
CN113784079A (en)*2021-11-102021-12-10佛山市消防救援支队Fire-fighting visual alarm system and method
CN114582114A (en)*2022-02-182022-06-03广州华生信息科技有限公司Fire-fighting vehicle priority passing system based on Internet of things, control method, computer-readable storage medium and terminal

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