CN116811758A - Vehicle safety monitoring system, method, equipment and medium based on wireless communication - Google Patents
Vehicle safety monitoring system, method, equipment and medium based on wireless communication Download PDFInfo
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Abstract
The system comprises a vehicle end, a cloud platform, a plurality of mobile terminals and a wireless communication module, wherein the wireless communication module is used for wireless communication connection among the vehicle end, the cloud platform and the plurality of mobile terminals; the vehicle end comprises an information acquisition module and a control module, wherein the information acquisition module is used for acquiring at least one of vehicle running information and driver state information, judging whether an abnormal event occurs to the vehicle or not according to the acquired information and generating state abnormal information; the cloud platform receives and analyzes the state abnormality information, classifies risk levels, and sends the state abnormality information to the mobile terminal; the control module controls the vehicle to change the running state according to the analysis result. The safety monitoring system can timely send abnormal conditions of the vehicle to the rest multiple mobile terminals.
Description
Technical Field
The present disclosure relates to the field of automotive technologies, and in particular, to a vehicle safety monitoring system based on wireless communication, a control method, a computer device, and a medium.
Background
With the rapid propulsion and realization of the development of the automobile industry, the power system, the brake system and the like of the automobile are well perfected at present, and an automobile owner can easily drive the automobile. Even if the conventional system fails, the system can be displayed and prompted on an instrument panel so as to be convenient for a vehicle owner to deal with in time. However, for other types of faults of the vehicle, such as faults of the intelligent function of the automobile, no complete detection and prompt system exists at present; moreover, the damage caused by the fault of the vehicle to other vehicles travelling simultaneously on the highway is not controllable for the vehicle owners.
Disclosure of Invention
To solve the problems in the prior art, embodiments herein provide a vehicle safety monitoring system, a control method, a computer device and a medium based on wireless communication, which are used for solving the problem of the influence of a faulty vehicle on other vehicles travelling simultaneously in the prior art.
The vehicle safety monitoring system based on wireless communication comprises a vehicle end, a cloud platform, a plurality of mobile terminals and a wireless communication module, wherein the wireless communication module is used for wireless communication connection among the vehicle end, the cloud platform and the mobile terminals;
the vehicle end comprises an information acquisition module and a control module, wherein the information acquisition module is used for acquiring at least one of vehicle running information and driver state information, judging whether an abnormal event occurs to the vehicle according to the acquired information and generating state abnormal information;
the cloud platform is used for receiving and analyzing the state abnormality information, classifying risk levels and sending the state abnormality information to a plurality of mobile terminals; the control module controls the vehicle to change the running state according to the analysis result.
Preferably, the control module controls the vehicle to change the driving state according to the analysis result includes:
and controlling the vehicle to run at a speed smaller than a preset vehicle speed according to the category of the state abnormality information, the two-to-one preset corresponding relation between the risk level of the state abnormality information and the alternative vehicle speed, wherein the preset vehicle speed is selected from the alternative vehicle speeds.
Preferably, the wireless communication module is configured to implement wireless communication connection among the vehicle end, the cloud platform and a plurality of the mobile terminals through a wireless network.
Preferably, the plurality of mobile terminals include at least one of a mobile phone, a tablet computer, and a second vehicle within an area formed by radiating a predetermined distance with reference to the vehicle.
Preferably, the area is a circular area formed by taking the vehicle as a center and having a radiation radius of 500 m.
Preferably, the abnormal event includes at least one of driver fatigue driving, abnormal vehicle distance, abnormal temperature in the vehicle, abrupt vehicle speed change, abrupt vehicle turning, abnormal engine operation state, and abnormal battery operation state.
Preferably, the information acquisition module comprises a driver state information acquisition module, wherein the driver state information acquisition module is used for acquiring eyeball action information of a driver, judging whether the driver is tired to drive according to the eyeball action information of the driver and generating a tired driving alarm signal.
Preferably, the driver's eye movement information includes blink frequency information and eye closure duration information.
Preferably, the information acquisition module comprises a vehicle operation information acquisition module, and the vehicle operation information acquisition module comprises at least one of a vehicle positioning device, a vehicle speed detection device, a vehicle distance detection device, a temperature detection device, an engine rotation speed detection device, a steering wheel angle detection device and a battery electric quantity detection device.
The embodiments herein also provide a control method of the wireless communication-based vehicle safety monitoring system according to any of the above embodiments, the control method comprising,
the information acquisition module acquires at least one of vehicle running information and driver state information in real time, judges whether an abnormal event occurs to the vehicle according to the acquired information and generates state abnormal information;
the cloud platform is used for receiving and analyzing the state abnormality information, classifying risk levels and sending the state abnormality information to a plurality of mobile terminals; the control module of the vehicle controls the vehicle to change the running state according to the analysis result.
Preferably, the control module of the vehicle controls the vehicle to change the running state according to the analysis result includes: and controlling the vehicle to run at a speed smaller than a preset vehicle speed according to the category of the state abnormality information, the two-to-one preset corresponding relation between the risk level of the state abnormality information and the alternative vehicle speed, wherein the preset vehicle speed is selected from the alternative vehicle speeds.
Preferably, the information acquisition module includes a driver status information acquisition module, and the driver status information acquisition module is configured to acquire information of eye movements of a driver, and the control method further includes:
and the driver state information acquisition module judges the fatigue driving of the driver according to the eyeball action information of the driver, and generates a fatigue driving alarm signal to be sent to the control module.
Preferably, the control method further includes:
and prompting a driver after judging that the vehicle has an abnormal event according to the magnitude relation between the vehicle running information and the corresponding information preset threshold value.
Preferably, the information acquisition module comprises a vehicle operation information acquisition module, and the vehicle operation information acquisition module comprises at least one of a vehicle positioning device, a vehicle speed detection device, a vehicle distance detection device, a temperature detection device, an engine rotation speed detection device, a steering wheel angle detection device and a battery electric quantity detection device.
Preferably, the plurality of mobile terminals include at least one of a mobile phone, a tablet computer, and a second vehicle within an area formed by radiating a predetermined distance with reference to the vehicle.
Preferably, the control method further includes:
and the second vehicle at least keeps a preset interval distance with the vehicle according to the analysis result, wherein the preset interval distance is a distance value which is searched in a preset distance table and corresponds to both the category of the state abnormal information and the risk level of the state abnormal information.
Preferably, the cloud platform sends the state anomaly information to a plurality of mobile terminals in a cyclic sending mode.
Embodiments herein also provide a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the above method when executing the computer program.
Embodiments herein also provide a computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the above-described method.
With the embodiments herein, the following benefits may be achieved:
1. the vehicle safety monitoring system based on wireless communication can receive the state abnormality information of the vehicle and send the state abnormality information to a plurality of mobile terminals by utilizing the cloud platform, so that the mobile terminals can respond correspondingly according to the state abnormality information, and danger or accident occurrence is avoided; and the information acquisition module at the vehicle end is utilized to preliminarily judge whether the vehicle generates an abnormal event and generate state abnormal information, the cloud platform is further utilized to classify the state abnormal information and divide risk grades, and the control module controls the vehicle to change the running state according to the analysis result, so that the fault vehicle runs or stops at the adjusted vehicle speed (the adjusted vehicle speed is zero), and danger or accident occurrence is avoided more timely and accurately.
2. The mobile terminals comprise a second vehicle in an area formed by radiating a preset distance by taking the vehicle as a reference and at least one of a mobile phone and a tablet computer, so that the mobile phone, the tablet computer and other vehicles in the system can remotely and timely learn about the vehicle faults.
3. The second vehicle determines the abnormal type and the abnormal grade of the vehicle according to the abnormal state information, and at least maintains a preset interval distance with the vehicle according to a preset corresponding relation between the abnormal type of the vehicle, the abnormal grade of the vehicle and the alternative interval distance, wherein the preset interval distance is selected from the alternative interval distances. Therefore, other vehicles in the system, namely the second vehicle, can keep at least a preset distance with the second vehicle according to the state of the fault vehicle, so that the running safety of the vehicles on the road is ensured.
4. The information acquisition module comprises a driver state information acquisition module, wherein the driver state information acquisition module is used for acquiring eyeball action information of a driver, judging whether the driver is tired to drive according to the eyeball action information of the driver and generating a tired driving alarm signal. Therefore, by arranging the driver state information acquisition module, whether the driver is in fatigue driving or not can be monitored.
Drawings
In order to more clearly illustrate the embodiments herein or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments herein and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a block diagram illustrating a vehicle safety monitoring system based on wireless communication according to an embodiment of the present disclosure;
fig. 2 is a block diagram illustrating a computer device in an embodiment herein.
[ reference numerals description ]
100. A vehicle safety monitoring system;
101. a vehicle end;
102. a cloud platform;
103. a control module;
104. an information acquisition module;
105. a wireless communication module;
1402. a computer device;
1404. a processor;
1406. a memory;
1408. a driving mechanism;
1410. an input/output interface;
1412. an input device;
1414. an output device;
1416. a presentation device;
1418. a graphical user interface;
1420. a network interface;
1422. a communication link;
1424. a communication bus.
Detailed Description
The following description of the embodiments of the present disclosure will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the disclosure. All other embodiments, based on the embodiments herein, which a person of ordinary skill in the art would obtain without undue burden, are within the scope of protection herein.
As shown in fig. 1, a vehicle safety monitoring system 100 based on wireless communication according to a preferred embodiment of the present disclosure includes a vehicle end 101, a cloud platform 102, a plurality of mobile terminals, and a wireless communication module 105, where the wireless communication module 105 is used for wireless communication connection between the vehicle end 101, the cloud platform 102, and the plurality of mobile terminals;
the vehicle end 101 comprises an information acquisition module 104 and a control module 103, wherein the information acquisition module 104 is used for acquiring at least one of vehicle running information and driver state information, judging whether an abnormal event occurs to the vehicle according to the acquired information and generating state abnormal information;
the cloud platform 102 is configured to receive and analyze the state anomaly information, classify risk levels, and send the state anomaly information to a plurality of mobile terminals; the control module 103 controls the vehicle to change the running state according to the analysis result.
Specifically, the control module 103 controlling the vehicle to change the running state according to the analysis result includes:
and controlling the vehicle to run at a speed smaller than a preset vehicle speed according to the category of the state abnormality information, the two-to-one preset corresponding relation between the risk level of the state abnormality information and the candidate vehicle speed, wherein the preset vehicle speed is selected from the candidate vehicle speeds.
It is understood that the categories of status anomaly information may include temperature anomalies, stress anomalies, distance (distance) anomalies, and so forth. The risk level of the state abnormality information may be understood as a higher risk level at a higher temperature, a higher risk level at a higher stress (torque may also be referred to) and a higher risk level at a closer distance.
In one embodiment, taking a temperature anomaly as an example, if the current battery temperature anomaly is detected, the cloud platform 102 determines a preset temperature level range corresponding to the current battery temperature, and further determines a preset vehicle speed according to a preset relationship between the temperature anomaly type, the preset temperature level range in which the current temperature falls, and the candidate vehicle speed, wherein the preset vehicle speed is selected from the candidate vehicle speeds.
Specifically, a two-to-one preset relationship between the category of the state abnormality information, the risk level of the state abnormality information, and the candidate vehicle speed may be established with reference to the following table 1.
TABLE 1
As can be seen from table 1, if the current battery temperature is 55 ℃, and the corresponding risk level is level D, the control module 103 controls the vehicle to travel at a speed of less than 40 km/h. It will of course be appreciated that if the current battery temperature is above 80 c, the vehicle may be controlled to stop directly, i.e. the preset speed is 0km/h.
In some embodiments, the plurality of mobile terminals may include at least one of a cellular phone, a tablet computer, and a second vehicle within an area formed by radiating a predetermined distance with respect to the vehicle.
Specifically, the region may be a circular region formed by taking the vehicle as a center and having a radiation radius of 500 m. It can be understood that after the vehicle fails, other vehicles in the circular area formed by the radius of 500m with the failed vehicle as the center of the circle can receive the prompt information of the failure of the vehicle and specific failure information through the cloud platform 102.
Therefore, the safety monitoring system can detect the running states of the vehicle and the driver in real time by utilizing the information acquisition module 104 to acquire various types of information related to the vehicle, and avoid accidents in time; the cloud platform 102 is utilized, so that abnormal conditions of the vehicle can be timely sent to the other multiple mobile terminals in the system, a fault vehicle and each mobile terminal can respond timely, and accidents are avoided; and the vehicle-end information acquisition module 104 is utilized to preliminarily judge whether the vehicle has an abnormal event and generate state abnormal information, the cloud platform 102 is further utilized to classify the state abnormal information and divide risk grades, and the control module 103 controls the vehicle to change the running state according to the analysis result, so that the fault vehicle runs or stops at the adjusted speed (the adjusted speed is zero), and danger or accident is avoided more timely and accurately.
In some embodiments, the wireless communication module 105 is configured to implement wireless communication connections between the vehicle end 101, the cloud platform 102, and the plurality of mobile terminals over a wireless network.
In particular, the wireless network may include an in-vehicle wireless local area network device and a mobile network device.
More specifically, the wireless communication module 105 may be configured to perform signal transceiving and processing with a vehicle-mounted wireless local area network device, a mobile network device, receive an instruction of the vehicle end 101 or the cloud platform 102, feed back a signal to the vehicle end 101 or the cloud platform 102, and the like. Further, the wireless communication module 105 may also manage USIM card and/or SIM card, and establish a connection with the cloud platform 102 through the 2G/3G/4G network to achieve communication. Optionally, the wireless communication module 105 may also establish a connection with the cloud platform 102 through a 2G/3G/4G network and the Internet. Preferably, the wireless communication module 105 may establish a connection with the cloud platform 102 or the vehicle end 101 through a protocol (which may be customized based on the needs of the user), a 2G/3G/4G network, and the Internet (Internet).
The vehicle-mounted wireless local area network device can be used for covering a wireless network on a vehicle and receiving and transmitting wireless network signals. Specifically, a vehicle Wi-Fi signal can be provided, and a smart phone or other terminals and the like can realize wireless internet surfing through the vehicle Wi-Fi signal.
The mobile network device can be used for identifying a USIM/SIM card, connecting with a 2G/3G/4G network on a vehicle, receiving and transmitting mobile network signals, and exchanging data (for example, cloud platform 102) between the vehicle end 101 and an external network through a wireless connection mode. Further, other mobile networks, such as 4G-LTE, 5G networks, etc., may also be included.
In some embodiments, the abnormal event includes at least one of driver fatigue driving, vehicle distance abnormality, in-vehicle temperature abnormality, vehicle abrupt shift, vehicle abrupt turn, engine operating state abnormality, battery operating state abnormality. It will be appreciated that in the event of any of the above-described anomalies occurring on the vehicle, the cloud platform 102 of the wireless communication-based vehicle safety monitoring system 100 immediately transmits status anomaly information to a plurality of mobile terminals within the system.
In some embodiments, the information collection module 104 may include a driver status information collection module, where the driver status information collection module is configured to collect eyeball motion information of a driver, determine whether the driver is tired to drive according to the eyeball motion information of the driver, and generate a tired driving alarm signal, and the control module 103 is configured to receive the tired driving alarm signal and control the prompt module to send prompt information to remind the driver.
Further, the driver's eye movement information includes blink frequency information and eye closure duration information.
In the running process of the vehicle, the driver can cause frequent blinking or long-time eye closing behaviors due to fatigue, so that the fatigue degree of the driver can be effectively detected based on the driving time and by detecting the blinking or the eye closing behaviors through image recognition.
In some embodiments, the information collection module 104 may include a vehicle operation information collection module including at least one of a vehicle positioning device, a vehicle speed detection device, a vehicle distance detection device, a temperature detection device, an engine speed detection device, a steering wheel angle detection device, a battery level detection device.
Specifically, the vehicle positioning device is configured to collect the position coordinates of the vehicle in real time, and send the collected position coordinates to the control module 103. The vehicle speed detection device is a speed sensor, and is configured to detect a vehicle speed of the vehicle in real time, and send the detected vehicle speed to the control module 103. The vehicle distance detection device comprises a plurality of distance sensors, wherein the plurality of distance sensors are respectively positioned on the periphery of the vehicle and are used for detecting the distances between the front, the rear, the left and the right of the vehicle and other vehicles, and each detected distance is sent to the control module 103. The temperature detection device is a temperature sensor for detecting the temperature in the vehicle or the operating temperature of various important automobile parts, such as an engine, a battery and the like.
Embodiments herein also provide a control method of the wireless communication-based vehicle safety monitoring system 100 according to any of the above embodiments, the control method comprising,
the information acquisition module 104 acquires at least one of vehicle operation information and driver status information in real time,
the vehicle end 101 judges whether the vehicle has an abnormal event or not according to the information acquired by the information acquisition module 104 and generates state abnormal information;
the cloud platform 102 is configured to receive and analyze the state anomaly information, classify risk levels, and send the state anomaly information to a plurality of mobile terminals; the control module 103 of the vehicle controls the vehicle to change the running state according to the analysis result.
Therefore, the abnormal condition of the vehicle can be timely sent to the rest of the mobile terminals in the system, the fault vehicle and each mobile terminal can respond timely, and accidents are avoided.
In some embodiments, the information collection module 104 may include a driver status information collection module for collecting driver eye movement information, and the control method further includes:
the driver state information acquisition module judges the fatigue driving of the driver according to the eyeball action information of the driver, and then generates a fatigue driving alarm signal and sends the fatigue driving alarm signal to the control module 103.
Therefore, traffic accidents caused by fatigue driving of the driver can be avoided as much as possible.
In some embodiments, the control method may further include:
and prompting a driver after judging that the vehicle has an abnormal event according to the magnitude relation between the vehicle running information and the corresponding information preset threshold value.
Specifically, the information collecting module 104 includes a vehicle operation information collecting module, and the vehicle operation information collecting module includes at least one of a vehicle positioning device, a vehicle speed detecting device, a vehicle distance detecting device, a temperature detecting device, an engine speed detecting device, a steering wheel angle detecting device, and a battery power detecting device.
Therefore, in some embodiments, if the control module 103 of the vehicle end 101 determines that the distance between the vehicle and other vehicles is smaller than a preset value, or the vehicle speed exceeds a preset value, or the temperature exceeds a preset value, or the engine speed exceeds a preset value, or the battery power is lower than a preset value, the control module may send a corresponding prompt message to the driver, or control the vehicle to slow down or stop directly.
It will be understood, of course, that the preset values of the various types of information described above may be set by those skilled in the art according to actual experience or needs. The specific thresholds for the various types of information are not limited herein.
In some embodiments, the control method may further include:
the second vehicle keeps at least a preset interval distance with the vehicle according to the analysis result, wherein the preset interval distance is a distance value (alternative interval distance in table 2) corresponding to both the category of the state anomaly information and the risk level of the state anomaly information, which are found in a preset distance table.
From the above description of the vehicle safety monitoring system 100 based on wireless communication, it can be understood that, after the vehicle fails, other vehicles (i.e., the second vehicle) in a circular area formed by taking the failed vehicle as a center and having a radius of 500m can receive the notification of the failure of the vehicle and specific failure information through the cloud platform 102.
Specifically, in a state where the vehicle is set to run at a medium speed (a vehicle speed of 50 km/h), a two-to-one preset relationship between the category of state abnormality information (taking an electric vehicle battery temperature abnormality as an example), the risk level of the state abnormality information, and the alternative interval distance may be established in advance with reference to table 2 below.
TABLE 2
As shown in table 2, if the temperature detection device detects that the battery temperature of the electric vehicle is 55 ℃, the temperature signal is sent to the control module 103, the control module 103 sends the temperature information to the cloud platform 102, and the cloud platform 102 can determine that the electric vehicle has a temperature anomaly event and determine a risk level (level D) according to the preset relationship in table 2. Further, the cloud platform 102 receives the state anomaly information through a wireless transmission manner and wirelessly transmits the analyzed state anomaly information to other mobile terminals in the system, for example, other vehicles (which can be understood as a second vehicle) in a circular area formed by taking the fault vehicle as a center and having a radius of 500m, so that the second vehicle maintains a preset interval distance of at least 55 m.
It will be appreciated that in the case where the above table is a table of the temperature abnormality of the rechargeable battery of the electric vehicle and the alternative interval distance, which is established in advance, in the case where the vehicle speed is 50 km/h. Further, a table of the temperature abnormality of the rechargeable battery of the electric vehicle and the alternative interval distance at each vehicle speed may be established more.
Further, a two-to-one preset relationship table between other status anomaly information categories (such as vehicle speed anomaly), risk levels and alternative spacing distances may also be established. Those skilled in the art can set the setting according to actual needs, and this is not limited herein.
In some embodiments, the cloud platform 102 preferably transmits the state anomaly information to a plurality of mobile terminals in a round robin manner. For example, the cloud platform 102 sends the state anomaly information to each mobile terminal every 30s, so that a driver or other vehicles can be timely reminded to perform corresponding risk avoidance processing.
Embodiments of the present description also provide a computer device. As shown in fig. 2, in some embodiments of the present description, the computer device 1402 may include one or more processors 1404, such as one or more Central Processing Units (CPUs) or Graphics Processors (GPUs), each of which may implement one or more hardware threads. The computer device 1402 may also include any memory 1406 for storing any kind of information, such as code, settings, data, etc., in a specific embodiment, a computer program on the memory 1406 and executable on the processor 1404, which when executed by the processor 1404, can execute instructions of the appliance control method according to any of the embodiments described above. For example, and without limitation, memory 1406 may include any one or more of the following combinations: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any memory may store information using any technique. Further, any memory may provide volatile or non-volatile retention of information. Further, any memory may represent fixed or removable components of computer device 1402. In one case, the computer device 1402 can perform any of the operations of the associated instructions when the processor 1404 executes the associated instructions stored in any memory or combination of memories. The computer device 1402 also includes one or more drive mechanisms 1408, such as a hard disk drive mechanism, an optical disk drive mechanism, and the like, for interacting with any memory.
Computer device 1402 may also include an input/output interface 1410 (I/O) for receiving various inputs (via an input device 1412) and for providing various outputs (via an output device 1414). One particular output mechanism may include a presentation device 1416 and an associated graphical user interface 1418 (GUI). In other embodiments, input/output interface 1410 (I/O), input device 1412, and output device 1414 may not be included as just one computer device in a network. Computer device 1402 may also include one or more network interfaces 1420 for exchanging data with other devices via one or more communication links 1422. One or more communication buses 1424 couple together the above-described components.
The communication link 1422 may be implemented in any manner, for example, through a local area network, a wide area network (e.g., the internet), a point-to-point connection, etc., or any combination thereof. Communication link 1422 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers, etc., governed by any protocol or combination of protocols.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to some embodiments of the specification. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processor to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processor, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processor to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processor to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computer device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash memory (flashRAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computer device. Computer-readable media, as defined in the specification, does not include transitory computer-readable media (transshipment) such as modulated data signals and carrier waves.
It will be appreciated by those skilled in the art that embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the present specification embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description embodiments may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present embodiments may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The embodiments of the specification may also be practiced in distributed computing environments where tasks are performed by remote processors that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
It should also be understood that, in the embodiments of the present specification, the term "and/or" is merely one association relationship describing the association object, meaning that three relationships may exist. For example, a and/or B may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, as relevant to see a section of the description of method embodiments. In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the embodiments of the present specification. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (19)
1. The vehicle safety monitoring system based on wireless communication is characterized by comprising a vehicle end, a cloud platform, a plurality of mobile terminals and a wireless communication module, wherein the wireless communication module is used for wireless communication connection among the vehicle end, the cloud platform and the mobile terminals;
the vehicle end comprises an information acquisition module and a control module, wherein the information acquisition module is used for acquiring at least one of vehicle running information and driver state information, judging whether an abnormal event occurs to the vehicle according to the acquired information and generating state abnormal information;
the cloud platform is used for receiving and analyzing the state abnormality information, classifying risk levels and sending the state abnormality information to a plurality of mobile terminals; the control module controls the vehicle to change the running state according to the analysis result.
2. The wireless communication-based vehicle safety monitoring system according to claim 1, wherein the control module controlling the vehicle to change the running state according to the analysis result comprises:
and controlling the vehicle to run at a speed smaller than a preset vehicle speed according to the category of the state abnormality information, the two-to-one preset corresponding relation between the risk level of the state abnormality information and the alternative vehicle speed, wherein the preset vehicle speed is selected from the alternative vehicle speeds.
3. The wireless communication-based vehicle safety monitoring system of claim 1, wherein the wireless communication module is configured to implement wireless communication connections between the vehicle end, the cloud platform, and a plurality of the mobile terminals over a wireless network.
4. The wireless communication-based vehicle safety monitoring system according to claim 1, wherein the plurality of mobile terminals includes at least one of a cellular phone, a tablet computer, and a second vehicle within an area formed by radiating a predetermined distance with reference to the vehicle.
5. The wireless communication-based vehicle safety monitoring system according to claim 4, wherein the area is a circular area formed by a radius of 500m centered on the vehicle.
6. The wireless communication based vehicle safety monitoring system of claim 1, wherein the abnormal event comprises at least one of driver fatigue driving, vehicle distance abnormality, in-vehicle temperature abnormality, vehicle abrupt shift, vehicle abrupt turn, engine operating state abnormality, battery operating state abnormality.
7. The wireless communication-based vehicle safety monitoring system according to claim 1, wherein the information acquisition module comprises a driver status information acquisition module for acquiring driver eye movement information and judging whether a driver is tired to drive and generating a tired driving warning signal according to the driver eye movement information.
8. The wireless communication-based vehicle safety monitoring system according to claim 7, wherein the driver eye movement information includes blink frequency information and eye closure duration information.
9. The wireless communication-based vehicle safety monitoring system of claim 1, wherein the information acquisition module comprises a vehicle operation information acquisition module comprising at least one of a vehicle positioning device, a vehicle speed detection device, a vehicle distance detection device, a temperature detection device, an engine speed detection device, a steering wheel angle detection device, and a battery power detection device.
10. A control method of a vehicle safety monitoring system based on wireless communication according to any one of the preceding claims 1-9, characterized by comprising,
the information acquisition module acquires at least one of vehicle running information and driver state information in real time, judges whether an abnormal event occurs to the vehicle according to the acquired information and generates state abnormal information;
the cloud platform is used for receiving and analyzing the state abnormality information, classifying risk levels and sending the state abnormality information to a plurality of mobile terminals; the control module of the vehicle controls the vehicle to change the running state according to the analysis result.
11. The control method according to claim 10, wherein the control module of the vehicle controlling the vehicle to change the running state according to the analysis result includes: and controlling the vehicle to run at a speed smaller than a preset vehicle speed according to the category of the state abnormality information, the two-to-one preset corresponding relation between the risk level of the state abnormality information and the alternative vehicle speed, wherein the preset vehicle speed is selected from the alternative vehicle speeds.
12. The control method according to claim 10, wherein the information collection module includes a driver state information collection module for collecting driver eyeball movement information, the control method further comprising:
and the driver state information acquisition module judges the fatigue driving of the driver according to the eyeball action information of the driver, and generates a fatigue driving alarm signal to be sent to the control module.
13. The control method according to claim 10, characterized in that the control method further comprises:
and prompting a driver after judging that the vehicle has an abnormal event according to the magnitude relation between the vehicle running information and the corresponding information preset threshold value.
14. The control method of claim 13, wherein the information acquisition module comprises a vehicle operation information acquisition module comprising at least one of a vehicle positioning device, a vehicle speed detection device, a vehicle distance detection device, a temperature detection device, an engine speed detection device, a steering wheel angle detection device, and a battery level detection device.
15. The control method according to claim 10, wherein the plurality of mobile terminals include at least one of a cellular phone, a tablet pc, and a second vehicle within an area formed by radiating a predetermined distance with reference to the vehicle.
16. The control method according to claim 15, characterized by further comprising:
and the second vehicle at least keeps a preset interval distance with the vehicle according to the analysis result, wherein the preset interval distance is a distance value which is searched in a preset distance table and corresponds to both the category of the state abnormal information and the risk level of the state abnormal information.
17. The control method according to claim 10, wherein the cloud platform transmits the state anomaly information to a plurality of mobile terminals in a round robin transmission manner.
18. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of the preceding claims 10-17 when executing the computer program.
19. A computer readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the method of any of the preceding claims 10-17.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310609260.8A CN116811758A (en) | 2023-05-26 | 2023-05-26 | Vehicle safety monitoring system, method, equipment and medium based on wireless communication |
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| CN202310609260.8A CN116811758A (en) | 2023-05-26 | 2023-05-26 | Vehicle safety monitoring system, method, equipment and medium based on wireless communication |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117155737A (en) * | 2023-10-30 | 2023-12-01 | 泉州市搏浪科技集团有限公司 | Vehicle data acquisition and analysis system based on CAN bus |
| CN117351592A (en) * | 2023-11-20 | 2024-01-05 | 镁佳(武汉)科技有限公司 | Vehicle abnormal state judging method and device, complex event processing engine and medium |
| CN117155737B (en) * | 2023-10-30 | 2024-06-04 | 泉州市搏浪科技集团有限公司 | Vehicle data acquisition and analysis system based on CAN bus |
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2023
- 2023-05-26 CN CN202310609260.8A patent/CN116811758A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117155737A (en) * | 2023-10-30 | 2023-12-01 | 泉州市搏浪科技集团有限公司 | Vehicle data acquisition and analysis system based on CAN bus |
| CN117155737B (en) * | 2023-10-30 | 2024-06-04 | 泉州市搏浪科技集团有限公司 | Vehicle data acquisition and analysis system based on CAN bus |
| CN117351592A (en) * | 2023-11-20 | 2024-01-05 | 镁佳(武汉)科技有限公司 | Vehicle abnormal state judging method and device, complex event processing engine and medium |
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