CN111696328A - Intelligent monitoring system for bus - Google Patents
Intelligent monitoring system for bus Download PDFInfo
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- CN111696328A CN111696328A CN202010591660.7A CN202010591660A CN111696328A CN 111696328 A CN111696328 A CN 111696328A CN 202010591660 A CN202010591660 A CN 202010591660A CN 111696328 A CN111696328 A CN 111696328A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B27/00—Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention belongs to the technical field of bus management, and particularly relates to an intelligent bus monitoring system which comprises an acquisition end, a control end and a server, wherein the acquisition end is connected with the control end; the acquisition end is used for acquiring real-time data of the vehicle; the control end is used for carrying out risk analysis according to the real-time data, giving an alarm when the analysis result shows that the risk exists, sending a help seeking signal to the server and sending the in-vehicle picture to the server; when the server receives the help seeking signal, the number of people to be rescued is confirmed according to the received images in the vehicle, the vehicles which are going to go through the fault location are sequenced according to the fault location, the running routes of the vehicles and the current locations of the vehicles, the vehicles which are going to go through the fault location are sequenced from near to far away from the fault location, a support signal is sent to the control end which is closest to the vehicles, the images in the vehicle are obtained, and the number of people to be rescued is confirmed according to the obtained images in the vehicle. By using the system, the problem that passengers are not timely rescued when the bus is in a remote position with a running position can be solved.
Description
Technical Field
The invention belongs to the technical field of bus management, and particularly relates to an intelligent bus monitoring system.
Background
The bus is the most important part of urban traffic and is one of the vehicles with the highest riding frequency. Most of the time, the number of passengers on the bus is large, and the safety of the bus is greatly valued.
In order to ensure the safety of passengers, intelligent bus systems have appeared. The bus risk analysis system comprises a collection end and a control end, wherein the collection end is used for collecting state data of a bus, the control end is used for carrying out risk analysis according to the collected state data, and when the analysis result is that a risk exists, an alarm is given out. When the alarm is sounded, the potential safety hazard exists in the vehicle, a bus driver can stop the vehicle as soon as possible, stop running before the vehicle is in an accident, and call a head office to dispatch maintenance personnel to overhaul the vehicle.
Through the mode, the situation that accidents happen due to the problems of the vehicle can be avoided as much as possible, and then the safety guarantee of passengers is improved. However, for some shifts, there are few vehicles that travel far along the route. If the vehicle is in a remote section, the passenger needs to wait for a long time to help the vehicle leave the remote section, and if the passenger has important backlog, the vehicle may be delayed and difficult to complete.
The prior art has the problem that passengers cannot help timely when the bus is out of order at a remote position.
Disclosure of Invention
The invention aims to provide an intelligent bus monitoring system, which solves the problem that passengers cannot help timely when a bus is in a remote position.
The basic scheme provided by the invention is as follows:
the intelligent bus monitoring system comprises an acquisition end, a control end and a server; the acquisition end and the control end are both arranged on the vehicle;
the acquisition end is used for acquiring real-time data of the vehicle, and the real-time data comprises positioning and in-vehicle pictures;
the control end is used for carrying out risk analysis according to the real-time data and giving an alarm when the analysis result shows that a risk exists; the control end is also used for sending real-time positioning to the server, and is also used for sending a help-seeking signal to the server and sending the in-vehicle picture to the server when a risk exists;
the server is internally stored with an electronic map and driving routes of all vehicles, and a remote area is divided on the electronic map; the server is used for receiving the pictures in the vehicle, positioning and seeking help signals; when the server receives the help seeking signal, if the corresponding fault location belongs to a remote area, the server confirms the number of people to be rescued according to the received in-vehicle pictures, sorts the vehicles to be driven with the fault location according to the fault location, the driving routes of the vehicles and the current locations of the vehicles from near to far, sends a support signal to the control end closest to the vehicles and acquires the in-vehicle pictures, confirms the number of rescued people according to the acquired in-vehicle pictures, and sends the support signal to the control end of the vehicle which is not sent with the support signal and closest to the rescued people and acquires the in-vehicle pictures when the number of rescued people is less than the number of people to be rescued until the accumulated number of rescued people is not less than the number of people to be rescued.
Basic scheme theory of operation and beneficial effect:
when the bus runs, the acquisition end acquires real-time data (such as temperature, current, voltage and the like) of the bus, the control end analyzes risks of the bus according to the real-time data, and an alarm is given out when the analysis result shows that the risks exist. When the driver notices the alarm information sent by the control end, the driver can stop the vehicle and get off the vehicle as soon as possible, so as to prevent accidents caused by the problems of the vehicle.
Besides, when the analysis result shows that the risk exists, the control end also sends a help seeking signal to the server and sends the in-vehicle picture to the server. After the server receives the help seeking vehicle, if the corresponding fault location belongs to a remote area, it indicates that passengers on the fault vehicle need to be rescued. Therefore, the server can analyze the number of passengers to be supported in the vehicle based on the in-vehicle screen signal of the help-seeking vehicle. Then, the control end sorts the vehicles to be driven with the fault location according to the sequence from near to far away from the fault location according to the fault location (namely the location of the fault vehicle), the driving route of each vehicle and the current location of each vehicle, and the sequence of the other vehicles reaching the fault location can be known according to the sequence.
In general, even vehicles passing through the same place cannot be parked unless they are at their parking spots. People to be rescued see the vehicle passing by and cannot be rescued, and the complexity of the mood of the people to be rescued can be thought. With the present system, this situation can be avoided,
and then, the control end sends a support signal to the control end closest to the vehicle and acquires the in-vehicle picture of the vehicle, the number of rescued persons is confirmed according to the acquired in-vehicle picture, and when the number of rescued persons is less than the number of rescued persons, the situation that the passengers to be rescued cannot be rescued by the vehicle only sending the support signal currently is shown. Therefore, the server sends the support signal to the nearest vehicle control end which does not send the support signal and acquires the in-vehicle picture until the accumulated number of people capable of being rescued is not less than the number of people to be rescued. Therefore, when the bus goes wrong at a remote position, the bus can be ensured to rescue passengers on the bus in time.
Compared with the prior art, the bus rescue system has the advantages that the problem that passengers cannot rescue timely when the bus goes wrong at a remote position is solved.
Furthermore, an emergency plan library is prestored in the control end, and when the analysis result shows that a risk exists, the control end matches a corresponding plan according to the risk type.
Even if the driver does not have corresponding experience, the driver can simply deal with the situation according to the plan, and the problem of the vehicle is prevented from being serious.
And the server sends a maintenance signal to the management end when receiving the help seeking signal, wherein the maintenance signal comprises positioning.
By means of the arrangement, when the risk potential of the vehicle is guaranteed, the management end can timely know the situation, and send maintenance personnel to timely send maintenance clerks to the site to maintain the vehicle according to positioning.
Further, when the control end sends a help seeking signal to the server, the control end also sends a risk type; the service signal also includes a risk type.
The maintainer can know the risk type as early as possible, and can carry out corresponding preparation in advance according to the risk type.
Further, the server is also used for storing the help signals and the risk types and sorting and screening the risk types.
The management personnel of being convenient for make statistics of all kinds of risks, can provide accurate use feedback for vehicle manufacturer.
And further, the control end is also used for analyzing whether the running of the vehicle meets the running standard or not according to the collected data, and if not, sending out a standard prompt.
The system can play a certain role in monitoring the standard driving of the driver.
Further, the control end is also used for sending the standard prompt to the server, and the server is also used for storing the classification prompt.
Therefore, the management personnel can know whether the driver drives according to the driving standard or not.
Further, the standard reminding mode is voice.
Because the driver needs to observe the road when driving, the form of pronunciation can let the driver notice oneself and not standardize the operation under the prerequisite that does not disturb the driver and drive.
Further, the control end is an ECU.
Most automobiles are provided with the ECU, and the arrangement does not need to be provided with an additional control unit, so that the cost can be saved.
Furthermore, the acquisition end comprises a temperature sensor, a humidity sensor, a camera, a current sensor, a voltage sensor, a pressure sensor, an acceleration sensor and a vehicle-mounted GPS locator.
In this way, the driving state of the automobile can be comprehensively monitored.
Drawings
Fig. 1 is a schematic diagram of a first embodiment of the intelligent bus monitoring system of the invention.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, the intelligent bus monitoring system comprises an acquisition end, a control end, a server and a management end; the acquisition end and the control end are both installed on the vehicle.
In this embodiment, the acquisition end includes temperature sensor, humidity transducer, camera, current sensor, voltage sensor, pressure sensor, acceleration sensor and on-vehicle GPS locater. The running state of the automobile can be comprehensively monitored through the acquisition end. The control end is an ECU. Most automobiles are provided with the ECU, and the arrangement does not need to be provided with an additional control unit, so that the cost can be saved. The server is a Tencent cloud server. The management end is a smart phone loaded with a corresponding APP.
The acquisition end is used for acquiring real-time data of the vehicle, and the real-time data comprises positioning and in-vehicle pictures.
An emergency plan library is prestored in the control end; the control end is used for carrying out risk analysis according to the real-time data and giving an alarm when the analysis result shows that a risk exists; and when the analysis result shows that the risk exists, the control end matches a corresponding plan according to the risk type. The control end is also used for sending real-time positioning to the server, and is also used for sending a help signal to the server when a risk exists, and sending the in-vehicle picture and the risk type to the server.
The server is internally stored with an electronic map and driving routes of all vehicles, and a remote area is divided on the electronic map; the server is used for receiving the pictures in the vehicle, positioning and seeking help signals; when the server receives the help seeking signal, if the corresponding fault location belongs to a remote area, the server confirms the number of people to be rescued according to the received in-vehicle pictures, sorts the vehicles to be driven with the fault location according to the fault location, the driving routes of the vehicles and the current locations of the vehicles from near to far, sends a support signal to the control end closest to the vehicles and acquires the in-vehicle pictures, confirms the number of rescued people according to the acquired in-vehicle pictures, and sends the support signal to the control end of the vehicle which is not sent with the support signal and closest to the rescued people and acquires the in-vehicle pictures when the number of rescued people is less than the number of people to be rescued until the accumulated number of rescued people is not less than the number of people to be rescued.
The server is also used for storing the help signals and the risk types and sorting and screening the risk types.
The system is used for storing the help signal and the risk types and sorting and screening the risk types.
And the server sends a maintenance signal to the management terminal when receiving the help seeking signal, wherein the maintenance signal comprises positioning and risk types.
The specific implementation process is as follows:
when the bus runs, the acquisition end acquires real-time data (such as temperature, current, voltage and the like) of the bus, the control end analyzes risks of the bus according to the real-time data, and an alarm is given out when the analysis result shows that the risks exist. When the driver notices the alarm information sent by the control end, the driver can stop the vehicle and get off the vehicle as soon as possible, so as to prevent accidents caused by the problems of the vehicle.
And when the analysis result shows that the risk exists, the control end matches a corresponding plan according to the risk type. Thus, even if the driver does not have corresponding experience, the driver can simply deal with the situation according to the plan, and the problem of the vehicle is prevented from being serious.
Besides, when the analysis result shows that the risk exists, the control end also sends a help seeking signal to the server and sends the in-vehicle picture to the server. After the server receives the help seeking vehicle, if the corresponding fault location belongs to a remote area, it indicates that passengers on the fault vehicle need to be rescued. Therefore, the server can analyze the number of passengers to be supported in the vehicle based on the in-vehicle screen signal of the help-seeking vehicle. Then, the control end sorts the vehicles to be driven with the fault location according to the sequence from near to far away from the fault location according to the fault location (namely the location of the fault vehicle), the driving route of each vehicle and the current location of each vehicle, and the sequence of the other vehicles reaching the fault location can be known according to the sequence.
And then, the control end sends a support signal to the control end closest to the vehicle and acquires the in-vehicle picture of the vehicle, the number of rescued persons is confirmed according to the acquired in-vehicle picture, and when the number of rescued persons is less than the number of rescued persons, the situation that the passengers to be rescued cannot be rescued by the vehicle only sending the support signal currently is shown. Therefore, the server sends the support signal to the nearest vehicle control end which does not send the support signal and acquires the in-vehicle picture until the accumulated number of people capable of being rescued is not less than the number of people to be rescued. Therefore, when the bus goes wrong at a remote position, the bus can be ensured to rescue passengers on the bus in time.
When the server receives the help seeking signal, the server also sends a maintenance signal to the management terminal, and the maintenance signal comprises positioning and risk types. By means of the arrangement, when the risk potential of the vehicle is guaranteed, the management end can timely know the situation, and send maintenance personnel to timely send maintenance clerks to the site to maintain the vehicle according to positioning. Besides, the maintainers can also know the risk types as early as possible, and can carry out corresponding preparation in advance according to the risk types.
The server is also used for storing the help signals and the risk types and sorting and screening the risk types.
The management personnel of being convenient for make statistics of all kinds of risks, can provide accurate use feedback for vehicle manufacturer.
Compared with the prior art, the bus rescue system has the advantages that the problem that passengers cannot rescue timely when the bus goes wrong at a remote position is solved.
Example two
Compared with the first embodiment, the difference is that in the first embodiment, the control end is further configured to analyze whether the driving of the vehicle meets the driving standard according to the collected data, and if not, send out a standard prompt, specifically, the prompt mode is voice. Thus, the method can play a certain role in monitoring the standard driving of the driver.
The control end is further used for sending the standard prompt to the server, and the server is further used for storing the classification prompt. Therefore, the management personnel can know whether the driver drives according to the driving standard or not.
EXAMPLE III
Different from the first embodiment, in the present embodiment:
the server is prestored with departure points of vehicles on each route and station residence time of each station. The server is also used for calculating the time required by the rescue vehicle to arrive according to the coordinates of the fault vehicle, the coordinates of the rescue vehicle, the driving route of the rescue vehicle and the station stay time; the server is also used for calculating the time required for sending the empty vehicle rescue according to the location of the fault vehicle and the departure point of the fault vehicle.
When the proportion that the rescue vehicle arrives later than the empty vehicle is larger than X and the number of people that can be rescued by the rescue vehicle arriving later than the empty vehicle is larger than Y of the number of people to be rescued, the server sends a signal for re-dispatching the vehicle to the management terminal and sends a signal for stopping the assistance to the rescue vehicle arriving later than the empty vehicle.
The values of X and Y can be set by those skilled in the art according to personal experience, and in this embodiment, X is 1/3 and Y is 2/5.
By using the system, after the server sends the rescue signal to the rescue vehicle, the time required by the rescue vehicle to arrive can be calculated by combining the coordinates of the fault vehicle, the coordinates of the rescue vehicle, the driving route of the rescue vehicle and the station stay time. Due to different stops, due to different terrains and different bus line numbers, the stop time of the buses at the stops can be different. By the aid of the method, the arrival time of each rescue vehicle can be calculated accurately.
In addition, the server calculates the time required for sending the empty vehicle rescue according to the location of the fault vehicle and the departure point of the fault vehicle. When the ratio that the rescue vehicle arrives later than the empty vehicle is larger than X, and the number of people that the rescue vehicle can rescue later than the empty vehicle is larger than Y of the number of people to be rescued. The rescue efficiency of the rescue vehicle is very low, and the rescue vehicle is far inferior to an empty vehicle which is directly sent to the same route as the fault vehicle for rescue. And the empty vehicles on the same route with the fault vehicles are directly dispatched for rescue, and people to be rescued can be directly sent to the original destination.
Therefore, at the moment, the server sends a re-dispatching signal to the management terminal, and after receiving the re-dispatching signal, the manager can dispatch the empty vehicles on the same route with the fault vehicles for rescue. Meanwhile, the server also sends a stopping support signal to the rescue vehicles arriving later than the empty vehicles, and the vehicles can normally run. In addition, these vehicles can continue to function as potential rescue vehicles if other accidents occur.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. Bus intelligent monitoring system, its characterized in that: the system comprises an acquisition end, a control end and a server; the acquisition end and the control end are both arranged on the vehicle;
the acquisition end is used for acquiring real-time data of the vehicle, and the real-time data comprises positioning and in-vehicle pictures;
the control end is used for carrying out risk analysis according to the real-time data and giving an alarm when the analysis result shows that a risk exists; the control end is also used for sending real-time positioning to the server, and is also used for sending a help-seeking signal to the server and sending the in-vehicle picture to the server when a risk exists;
the server is internally stored with an electronic map and driving routes of all vehicles, and a remote area is divided on the electronic map; the server is used for receiving the pictures in the vehicle, positioning and seeking help signals; when the server receives the help seeking signal, if the corresponding fault location belongs to a remote area, the server confirms the number of people to be rescued according to the received in-vehicle pictures, sorts the vehicles to be driven with the fault location according to the fault location, the driving routes of the vehicles and the current locations of the vehicles from near to far, sends a support signal to the control end closest to the vehicles and acquires the in-vehicle pictures, confirms the number of rescued people according to the acquired in-vehicle pictures, and sends the support signal to the control end of the vehicle which is not sent with the support signal and closest to the rescued people and acquires the in-vehicle pictures when the number of rescued people is less than the number of people to be rescued until the accumulated number of rescued people is not less than the number of people to be rescued.
2. The intelligent bus monitoring system according to claim 1, wherein: an emergency plan library is prestored in the control end, and when the analysis result shows that a risk exists, the control end matches a corresponding plan according to the risk type.
3. The intelligent bus monitoring system according to claim 1, wherein: the system further comprises a management end, the server sends maintenance signals to the management end when receiving the help seeking signals, and the maintenance signals comprise positioning.
4. The intelligent bus monitoring system according to claim 3, wherein: when the control end sends a help seeking signal to the server, the control end also sends a risk type; the service signal also includes a risk type.
5. The intelligent bus monitoring system according to claim 4, wherein: the server is also used for storing the help signals and the risk types and sorting and screening the risk types.
6. The intelligent bus monitoring system according to claim 5, wherein: the control end is also used for analyzing whether the running of the vehicle meets the running standard or not according to the collected data, and if not, the control end sends out a standard prompt.
7. The intelligent bus monitoring system according to claim 6, wherein: the control end is further used for sending the standard prompt to the server, and the server is further used for storing the classification prompt.
8. The intelligent bus monitoring system according to claim 6, wherein: the mode of the standard reminding is voice.
9. The intelligent bus monitoring system according to claim 1, wherein: the control end is an ECU.
10. The intelligent bus monitoring system according to claim 1, wherein: the acquisition end comprises a temperature sensor, a humidity sensor, a camera, a current sensor, a voltage sensor, a pressure sensor, an acceleration sensor and a vehicle-mounted GPS locator.
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| CN113781282A (en) * | 2021-09-08 | 2021-12-10 | 上海伯镭智能科技有限公司 | Mine car data intercommunication method and device based on Internet of vehicles |
| CN114241624A (en) * | 2021-11-15 | 2022-03-25 | 深圳云胜创科技有限公司 | Intelligent management system and management method for bus shelter |
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