CN117058781A - A vehicle accident recall system based on Internet of Things technology - Google Patents
A vehicle accident recall system based on Internet of Things technology Download PDFInfo
- Publication number
- CN117058781A CN117058781A CN202210490300.7A CN202210490300A CN117058781A CN 117058781 A CN117058781 A CN 117058781A CN 202210490300 A CN202210490300 A CN 202210490300A CN 117058781 A CN117058781 A CN 117058781A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- data
- collision
- fault
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/14—Session management
- H04L67/141—Setup of application sessions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Traffic Control Systems (AREA)
Abstract
本发明公开了一种基于物联网技术的车辆事故召回系统，包括：车辆故障感应系统，车辆故障感应系统用于实时识别车辆故障状态，输出故障信息原始数据；与车辆故障感应系统通讯连接的处理器，处理器用于对故障信息原始数据进行预处理，得到预处理故障信息数据；车辆通讯模块与云平台；车辆通讯模块用于将预处理故障信息数据上传至云平台；与云平台通讯连接的车主用户端；与云平台通讯连接的车厂用户端和/或4S店用户端；本方案能够及时提醒用户，避免肇事逃逸等情况，同时实现通过事故提醒，及时高效地将车辆事故信息发送给车厂或4S店系统，由店端提醒用户及时查看并方便召回店内维修，大大提高车辆的回店、回厂率。
The invention discloses a vehicle accident recall system based on Internet of Things technology, which includes: a vehicle fault induction system. The vehicle fault induction system is used to identify vehicle fault status in real time and output original data of fault information; and a process for communicating with the vehicle fault induction system. The processor is used to preprocess the original data of fault information to obtain preprocessed fault information data; the vehicle communication module and the cloud platform; the vehicle communication module is used to upload the preprocessed fault information data to the cloud platform; and is connected to the cloud platform for communication Car owner client; car manufacturer client and/or 4S store client that communicates with the cloud platform; this solution can promptly remind users to avoid hit-and-run situations, and at the same time, achieve timely and efficient transmission of vehicle accident information to the car manufacturer through accident reminders Or 4S store system, the store reminds users to check in time and facilitates recall to the store for repair, which greatly improves the return rate of vehicles to the store and factory.
Description
Technical Field
The application relates to the technical field of vehicle accident handling, in particular to a vehicle accident recall system based on the internet of things technology.
Background
In recent years, with the gradual increase of the automobile conservation amount in China, automobile traffic accidents are more and more, however, at present, after many automobile collision accidents occur, owners are difficult to find and feed back in real time, 4S shops and factories are also difficult to find faults in time and remind users, and customer experience is poor.
Therefore, how to prompt the user in time when the vehicle collides or prompt the user in time through a 4S shop and a vehicle factory to avoid the loss of the vehicle owner caused by escape of the accident causing person as much as possible becomes the problem to be solved urgently at present.
Disclosure of Invention
The application provides a vehicle accident recall system based on the internet of things technology, which can remind a user in time to avoid the loss of a vehicle owner caused by the conditions such as accident escape and the like as much as possible, and simultaneously can send the vehicle accident to a vehicle factory or a 4S shop system through accident reminding, remind the user at a shop end to check in time and facilitate recall of in-shop maintenance, and greatly improve the shop recall and factory recall rate of the vehicle.
In order to achieve the above object, the present application provides a vehicle accident recall system based on the internet of things technology, comprising: the vehicle fault induction system is used for identifying the vehicle fault state in real time and outputting fault information original data; the processor is in communication connection with the vehicle fault induction system and is used for preprocessing the fault information original data to obtain preprocessed fault information data; the vehicle communication module is in communication connection with the processor; the cloud platform is in communication connection with the vehicle communication module; the vehicle communication module is used for uploading the preprocessing fault information data to the cloud platform; the cloud platform performs preset analysis based on the preprocessing fault information data to obtain a fault analysis result; the vehicle owner user side is in communication connection with the cloud platform; the vehicle factory user end and/or the 4S shop user end are in communication connection with the cloud platform; and the cloud platform sends a fault analysis result to the vehicle owner user side and/or the vehicle factory user side and/or the 4S shop user side.
Further, in the vehicle accident recall system based on the internet of things technology provided by the application,
the vehicle fault induction system includes:
the vehicle collision intensity sensing module is in communication connection with the processor and is used for acquiring original data of vehicle body collision;
the oil gas sensing module is in communication connection with the processor and is used for acquiring oil tank pressure data;
a smoke sensing module in communication with the processor for identifying whether the vehicle is on fire;
and the in-car camera module is in communication connection with the processor and is used for acquiring in-car image information.
Further, in the vehicle accident recall system based on the internet of things provided by the application, the vehicle collision strength sensing module comprises:
the pressure sensing module is used for collecting original collision data of the vehicle;
and the original collision data of the vehicle collected by the pressure sensing module is used as one of the data contents of the original data of the fault information.
Further, in the vehicle accident recall system based on the internet of things technology provided by the application, the original collision data of the vehicle is preprocessed in the processor to generate preprocessed collision data; the preprocessing collision data are transmitted to the cloud platform through the vehicle communication module; the cloud platform analyzes the preprocessed collision data to obtain an actual collision grade, and if the actual collision grade is more than or equal to a preset collision grade, a vehicle collision accident report is generated based on the preprocessed collision data; the vehicle collision accident report is one of the data contents of the fault analysis result;
the cloud platform is used for sending the vehicle collision accident report to the vehicle owner user side and/or the vehicle factory user side and/or the 4S shop user side.
Further, in the vehicle accident recall system based on the internet of things provided by the application, the pressure sensing module comprises: the piezoelectric film sensor is arranged around the vehicle body and at the position of the vehicle roof and is used for sensing deformation of the vehicle body and outputting the collision original data.
Further, in the vehicle accident recall system based on the internet of things provided by the application, the system further comprises: the vehicle position sensing system is in communication connection with the processor and is used for storing and recording vehicle positioning data in a first time period, wherein the first time period is a time preset value, and the vehicle positioning data exceeding the first time period is automatically erased;
a vehicle repair path pushing module connected with the vehicle position sensing system;
and after the processor receives the original collision data of the vehicle sent by the vehicle collision intensity sensing module, the processor controls the vehicle position sensing system to send the vehicle positioning data in the current first time period to the cloud platform.
Further, in the vehicle accident recall system based on the internet of things provided by the application, the system further comprises: the fault recall record statistics module is in communication connection with the background of the vehicle factory user side and/or the 4S shop user side; the fault recall statistics module is used for counting user data, positioning information data and risk number data in the fault analysis result.
Further, in the vehicle accident recall system based on the internet of things provided by the application, the system further comprises: and the timing maintenance reminding module is in communication connection with the background of the vehicle factory user side and/or the 4S shop user side and is used for sending periodic maintenance prompt information to the vehicle owner user side.
Further, in the vehicle accident recall system based on the internet of things provided by the application, the system further comprises: the maintenance material purchasing and calling module is in communication connection with the fault recall record counting module;
and the maintenance material purchase calling module outputs maintenance material purchase orders or calls orders based on the risk number data generated by the fault recall recording statistics module.
Further, in the vehicle accident recall system based on the internet of things provided by the application, the system further comprises: the vehicle maintenance prompting module is in communication connection with the vehicle owner user side;
the vehicle maintenance prompting module is in communication connection with the timing maintenance prompting module and is used for prompting a vehicle owner to carry out vehicle maintenance through one or more modes of text information, sound information and vibration information after receiving the periodical maintenance prompting information.
The application provides a vehicle accident recall system based on the internet of things technology, which specifically comprises the following steps: the vehicle fault induction system is used for identifying the vehicle fault state in real time and outputting fault information original data; the processor is in communication connection with the vehicle fault induction system and is used for preprocessing the fault information original data to obtain preprocessed fault information data; the vehicle communication module is in communication connection with the processor; the cloud platform is in communication connection with the vehicle communication module; the vehicle communication module is used for uploading the preprocessing fault information data to the cloud platform; the cloud platform performs preset analysis based on the preprocessing fault information data to obtain a fault analysis result; the vehicle owner user side is in communication connection with the cloud platform; the vehicle factory user end and/or the 4S shop user end are in communication connection with the cloud platform; the cloud platform sends fault analysis results to the owner user side and/or the factory user side and/or the 4S shop user side, and compared with the prior art, the scheme provided by the application can remind the user in time to avoid the loss of the owner caused by the accident escape and other conditions, meanwhile, the cloud platform can send the vehicle accident to the factory or the 4S shop system through accident reminding, and the shop side reminds the user to check in time and bring convenience to the repair in the store, so that the store return and the factory return rate of the vehicle are greatly improved.
Drawings
For a clearer description of an embodiment of the application or of a technical solution in the prior art, the drawings that are needed in the description of the embodiment or of the prior art will be briefly described, it being obvious that the drawings in the description below are only embodiments of the application, and that other drawings can be obtained, without inventive effort, by a person skilled in the art from the drawings provided:
FIG. 1 is a schematic diagram of a vehicle accident recall system based on the Internet of things technology of the present application;
fig. 2 is a schematic diagram of the principle of the vehicle failure damage determination according to the present application.
Detailed Description
In order that the application may be readily understood, a more complete description of the application will be rendered by reference to the appended drawings. Exemplary embodiments of the present application are illustrated in the accompanying drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
The technical scheme related by the embodiment of the application has the general idea that: after the collision of the vehicle is detected, the collision time, the collision place, the collision position, the collision degree and the damage direction are processed into the vehicle collision accident report, and the vehicle collision accident report is sent to the background of an insurance company reported by the vehicle, so that the insurance report and the damage assessment flow are optimized.
In order to better understand the above technical solutions, the following detailed description will be made with reference to the accompanying drawings and specific embodiments, and it should be understood that specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, and not limit the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
Referring to fig. 1 and 2, in an embodiment of the present application, a vehicle accident recall system based on the internet of things technology includes: the vehicle fault induction system 1 is used for identifying the vehicle fault state in real time and outputting fault information original data; the processor 2 is in communication connection with the vehicle fault induction system 1, and the processor 2 is used for preprocessing the fault information original data to obtain preprocessed fault information data; a vehicle communication module 14 in communication with the processor 2; the cloud platform 3 is in communication connection with the vehicle communication module 14; the vehicle communication module 14 is used for uploading the preprocessing fault information data to the cloud platform 3; the cloud platform 3 performs preset analysis based on the preprocessing fault information data to obtain a fault analysis result; the vehicle owner user terminal 4 is in communication connection with the cloud platform 3; the vehicle factory user side 5 and/or the 4S shop user side 6 are in communication connection with the cloud platform 3; compared with the prior art, the scheme of the application can remind the user in time to avoid the loss of the vehicle owner caused by the escape of the accident and the like, and simultaneously can realize that the vehicle accident is sent to the vehicle factory or 4S shop system through accident reminding, and the shop side reminds the user to check in time and conveniently recall the in-shop maintenance, thereby greatly improving the shop returning and factory returning rate of the vehicle.
Specifically, in the embodiment of the present application, the vehicle fault induction system 1 includes: the vehicle collision intensity sensing module 101 is in communication connection with the processor 2 and is used for acquiring the original data of the collision of the vehicle body; the oil gas sensing module 102 is in communication connection with the processor 2 and is used for acquiring oil tank pressure data; a smoke sensing module 103 in communication with the processor 2 for identifying whether the vehicle is on fire; and the in-vehicle camera module 104 is in communication connection with the processor 2 and is used for acquiring in-vehicle image information.
Among them, the smoke sensing module 103 is preferably provided in the vehicle, the front trunk and the rear trunk for detecting whether the vehicle is on fire.
Specifically, in the embodiment of the present application, the vehicle collision strength sensing module 101 includes: the pressure sensing module is used for collecting original collision data of the vehicle; and the original collision data of the vehicle collected by the pressure sensing module is used as one of the data contents of the original data of the fault information.
Specifically, in the embodiment of the present application, the vehicle raw collision data is preprocessed in the processor 2 to generate preprocessed collision data; the pre-processed collision data is transmitted to the cloud platform 3 through the vehicle communication module 14; the cloud platform 3 analyzes the preprocessed collision data to obtain an actual collision grade, and if the actual collision grade is more than or equal to a preset collision grade, a vehicle collision accident report is generated based on the preprocessed collision data; the vehicle collision accident report is one of the data contents of the fault analysis result;
the cloud platform 3 is configured to send the vehicle collision accident report to the vehicle owner user side 4 and/or the vehicle factory user side 5 and/or the 4S shop user side 6.
Specifically, in an embodiment of the present application, the pressure sensing module includes: the piezoelectric film sensor is arranged around the vehicle body and at the position of the vehicle roof and is used for sensing deformation of the vehicle body and outputting the collision original data. More specifically, in the embodiment of the application, the piezoelectric film sensor is arranged on the vehicle at one or more of front and rear bumpers, front and rear side blade plates and vehicle doors of the vehicle.
Specifically, in the embodiment of the present application, the method further includes: the vehicle position sensing system 7 is in communication connection with the processor 2 and is used for storing and recording vehicle positioning data in a first time period, wherein the first time period is a time preset value, and the vehicle positioning data exceeding the first time period is automatically erased;
a vehicle maintenance path pushing module 8 connected to the vehicle position sensing system 7;
after the processor 2 receives the original collision data of the vehicle sent by the vehicle collision intensity sensing module 101, the processor 2 controls the vehicle position sensing system 7 to send the vehicle positioning data in the current first time period to the cloud platform 3.
Specifically, in the embodiment of the present application, the method further includes: the fault recall record statistics module 9 is in communication connection with the background of the vehicle factory user side 5 and/or the 4S shop user side 6; the fault recall statistics module 9 is used for counting user data, positioning information data and risk number data.
Specifically, in the embodiment of the present application, the method further includes: the timing maintenance reminding module 10 is in communication connection with the background of the vehicle factory user side 5 and/or the 4S shop user side 6, and the timing maintenance reminding module 10 is used for sending periodic maintenance prompt information to the vehicle owner user side 4.
Specifically, in the embodiment of the present application, the method further includes: a maintenance material purchasing and calling module 15 in communication connection with the fault recall statistics module 9;
the maintenance material purchase calling module outputs maintenance material purchase orders or calls orders based on the risk number data generated by the fault recall counting module 9.
Specifically, in the embodiment of the present application, the method further includes: the vehicle maintenance prompting module 11 is in communication connection with the vehicle owner user side 4;
the vehicle maintenance prompting module 11 is in communication connection with the timing maintenance prompting module 10, and is configured to prompt the vehicle owner to perform vehicle maintenance through one or more of text information, sound information and vibration information after receiving the periodic maintenance prompting information.
The cloud platform 3 analyzes the preprocessed collision data, and the obtaining of the actual collision grade specifically includes the following steps: presetting original length data L of a vehicle shell before collision; acquiring deformation length data delta L of a vehicle shell after collision; obtaining the actual deformation degree epsilon according to the formula (1):
wherein L is the original length of the vehicle shell before collision, and DeltaL is the deformation length of the vehicle shell after collision;
if 0< epsilon <4, then the collision grade is noted as D1;
if 4 is less than or equal to epsilon <8, recording the collision grade as D2;
if 8 is less than or equal to epsilon <12, recording the collision grade as D3;
if 12 is less than or equal to epsilon <16, recording the collision grade as D4;
if 16 is less than or equal to epsilon <20, recording the collision grade as D5;
if 20 is less than or equal to epsilon <23, recording the collision grade as D6;
if epsilon is more than or equal to 23, marking the collision grade as D7 and marking damage.
And obtaining the actual collision grade according to the actual deformation degree epsilon.
Specifically, in the embodiment of the present application, the preset value of the preset collision level is D4.
The working implementation principle of the piezoelectric film sensor is as follows: when a piezoelectric polyvinylidene fluoride PVDF polymer film, i.e. a piezoelectric film, is stretched or bent, an electric signal is generated between the upper and lower electrode surfaces of the film, and in proportion to the deformation of the stretching or bending, a general piezoelectric material is sensitive to pressure, but for the piezoelectric film, a very large stress is generated in the transverse direction when a very small force is applied in the longitudinal direction, and if the same force is applied to a large area of the film, the generated stress is very small, so that the piezoelectric film is very sensitive to dynamic stress, and in general, the sensitivity of PVDF with a thickness of 28 μm is typically 10 to 15 mV/microstrain, and the piezoelectric film has an advantage of detecting different levels of prestress.
More specifically, with the gradual increase of the automobile conservation amount in China and the development of the vehicle technology, the vehicle is not just a driving tool, the requirements of people on the vehicle are not only concentrated on the driving, the science and technology sense and the experience sense are all targets pursued by current consumers, with the gradual increase of the automobile conservation amount in China, the occurrence of automobile traffic accidents is also increased, after the current vehicle accidents happen, a plurality of related information conditions cannot be found and fed back in time, and for 4S shops or factories, the accident conditions of the vehicle can be found and fed back in real time, so that good experience can be brought to users, the store return rate and the factory return rate of the vehicle can be greatly improved, and the vehicle is convenient to track.
The technical scheme of the embodiment of the application is that under the condition that a user normally parks a vehicle, if a collision accident occurs, the user can be timely reminded, the loss of the vehicle owner caused by the accident escape and other conditions is avoided, the system can send the vehicle accident to a vehicle factory or a 4S shop system through accident reminding, the user is timely reminded to check by a shop end, the nearest or most suitable maintenance point nearby in the shop can be recalled, the shop return rate and the factory return rate of the vehicle are greatly improved, and the vehicle is convenient to track.
In addition, the scheme related to the embodiment of the application further comprises the following steps: and the voice module 12 is connected with the processor 2 and is used for realizing voice interaction between passengers and the vehicle-mounted terminal, so that the injury condition of the passengers can be conveniently judged.
In addition, the scheme related to the embodiment of the application further comprises the following steps: and an off-vehicle camera module 13 connected to the processor 2.
In the description provided herein, numerous specific details are set forth, however, it is to be understood that embodiments of the application may be practiced without these specific details, and in some instances well-known methods, structures, and techniques have not been shown in detail in order not to obscure the understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the application, various features of the application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed application requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all of the features disclosed in this specification, including any accompanying claims, abstract and drawings, and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification, including the accompanying claims, abstract, and drawings, may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.
Claims (10)
1. A vehicle accident recall system based on the internet of things technology is characterized by comprising:
the vehicle fault induction system is used for identifying the vehicle fault state in real time and outputting fault information original data;
the processor is in communication connection with the vehicle fault induction system and is used for preprocessing the fault information original data to obtain preprocessed fault information data;
the vehicle communication module is in communication connection with the processor;
the cloud platform is in communication connection with the vehicle communication module;
the vehicle communication module is used for uploading the preprocessing fault information data to the cloud platform;
the cloud platform performs preset analysis based on the preprocessing fault information data to obtain a fault analysis result;
the vehicle owner user side is in communication connection with the cloud platform;
the vehicle factory user end and/or the 4S shop user end are in communication connection with the cloud platform;
and the cloud platform sends a fault analysis result to the vehicle owner user side and/or the vehicle factory user side and/or the 4S shop user side.
2. The vehicle accident recall system based on the technology of the Internet of things according to claim 1, wherein,
the vehicle fault induction system includes:
the vehicle collision intensity sensing module is in communication connection with the processor and is used for acquiring original data of vehicle body collision;
the oil gas sensing module is in communication connection with the processor and is used for acquiring oil tank pressure data;
a smoke sensing module in communication with the processor for identifying whether the vehicle is on fire;
and the in-car camera module is in communication connection with the processor and is used for acquiring in-car image information.
3. The internet of things-based vehicle accident recall system of claim 2, wherein the vehicle collision intensity sensing module comprises:
the pressure sensing module is used for collecting original collision data of the vehicle;
and the original collision data of the vehicle collected by the pressure sensing module is used as one of the data contents of the original data of the fault information.
4. The internet of things-based vehicle accident recall system of claim 3 wherein the raw crash data of the vehicle is preprocessed in the processor to generate preprocessed crash data; the preprocessing collision data are transmitted to the cloud platform through the vehicle communication module; the cloud platform analyzes the preprocessed collision data and outputs an actual collision grade, and if the actual collision grade is more than or equal to a preset collision grade, a vehicle collision accident report is generated based on the preprocessed collision data; the vehicle collision accident report is one of the data contents of the fault analysis result;
the cloud platform is used for sending the vehicle collision accident report to the vehicle owner user side and/or the vehicle factory user side and/or the 4S shop user side.
5. The internet of things-based vehicle accident recall system of claim 4, wherein the pressure sensing module comprises: the piezoelectric film sensor is arranged around the vehicle body and at the position of the vehicle roof and is used for sensing deformation of the vehicle body and outputting the collision original data.
6. The internet of things-based vehicle accident recall system of claim 5, further comprising: the vehicle position sensing system is in communication connection with the processor and is used for storing and recording vehicle positioning data in a first time period;
the first time period is a time preset value, and vehicle positioning data exceeding the first time period is automatically erased;
a vehicle repair path pushing module connected with the vehicle position sensing system;
and after the processor receives the original collision data of the vehicle sent by the vehicle collision intensity sensing module, the processor controls the vehicle position sensing system to send the vehicle positioning data in the current first time period to the cloud platform.
7. The internet of things-based vehicle accident recall system of any one of claims 1 to 6, further comprising: and the fault recall record statistics module is in communication connection with the background of the vehicle factory user side and/or the 4S shop user side.
8. The internet of things-based vehicle accident recall system of claim 7, further comprising: and the timing maintenance reminding module is in communication connection with the background of the vehicle factory user side and/or the 4S shop user side and is used for sending periodic maintenance prompt information to the vehicle owner user side.
9. The internet of things-based vehicle accident recall system of claim 8, further comprising: the maintenance material purchasing and calling module is in communication connection with the fault recall record counting module;
and the maintenance material purchase calling module outputs maintenance material purchase orders or calls orders based on the risk number data generated by the fault recall recording statistics module.
10. The internet of things-based vehicle accident recall system of claim 9, further comprising: the vehicle maintenance prompting module is in communication connection with the vehicle owner user side;
the vehicle maintenance prompting module is in communication connection with the timing maintenance prompting module and is used for prompting a vehicle owner to carry out vehicle maintenance through one or more modes of text information, sound information and vibration information after receiving the periodical maintenance prompting information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210490300.7A CN117058781A (en) | 2022-05-05 | 2022-05-05 | A vehicle accident recall system based on Internet of Things technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210490300.7A CN117058781A (en) | 2022-05-05 | 2022-05-05 | A vehicle accident recall system based on Internet of Things technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117058781A true CN117058781A (en) | 2023-11-14 |
Family
ID=88657764
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210490300.7A Pending CN117058781A (en) | 2022-05-05 | 2022-05-05 | A vehicle accident recall system based on Internet of Things technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117058781A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103903388A (en) * | 2014-03-21 | 2014-07-02 | 佛山市天地行科技有限公司 | Car collision handling method |
| US8799034B1 (en) * | 2013-03-08 | 2014-08-05 | Allstate University Company | Automated accident detection, fault attribution, and claims processing |
| CN105096630A (en) * | 2015-08-19 | 2015-11-25 | 天津市中环电子计算机有限公司 | Internet of things-based vehicle information monitoring system and method |
| CN109359329A (en) * | 2018-09-03 | 2019-02-19 | 江苏大学 | An intelligent monitoring platform and method for vehicle collision accidents based on the Internet of Vehicles |
| CN111311044A (en) * | 2019-11-22 | 2020-06-19 | 宝能汽车有限公司 | A kind of vehicle damage assessment method and system thereof |
-
2022
- 2022-05-05 CN CN202210490300.7A patent/CN117058781A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8799034B1 (en) * | 2013-03-08 | 2014-08-05 | Allstate University Company | Automated accident detection, fault attribution, and claims processing |
| CN103903388A (en) * | 2014-03-21 | 2014-07-02 | 佛山市天地行科技有限公司 | Car collision handling method |
| CN105096630A (en) * | 2015-08-19 | 2015-11-25 | 天津市中环电子计算机有限公司 | Internet of things-based vehicle information monitoring system and method |
| CN109359329A (en) * | 2018-09-03 | 2019-02-19 | 江苏大学 | An intelligent monitoring platform and method for vehicle collision accidents based on the Internet of Vehicles |
| CN111311044A (en) * | 2019-11-22 | 2020-06-19 | 宝能汽车有限公司 | A kind of vehicle damage assessment method and system thereof |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11068995B1 (en) | Methods of reconstructing an accident scene using telematics data | |
| US11138570B1 (en) | System, method, and computer-readable medium for comparing automatically determined crash information to historical collision data to detect fraud | |
| US10540833B1 (en) | Determining and assessing post-accident vehicle damage | |
| US20150006023A1 (en) | System and method for determination of vheicle accident information | |
| US10817951B1 (en) | System and method for facilitating transportation of a vehicle involved in a crash | |
| CN102568056B (en) | The method of process vehicle crash data | |
| US9508200B1 (en) | System and method for using a specialty vehicle data identifier to facilitate treatment of a vehicle damaged in a crash | |
| CN107833312A (en) | Driving dangerousness coefficient appraisal procedure and device based on multi-modal information | |
| US20150149218A1 (en) | Detection System for Analyzing Crash Events and Methods of the Same | |
| JP6601942B2 (en) | OBE, VEHICLE SYSTEM, OBE CONTROL METHOD, OBE CONTROL PROGRAM | |
| JP6568693B2 (en) | In-vehicle system, smart device, smart device control method, and smart device control program | |
| CN111210100A (en) | Evaluation system, evaluation method, and storage medium | |
| CN114834474A (en) | Active safety auxiliary driving system based on real-time state monitoring of driver | |
| US20210335060A1 (en) | System and method for processing a reliability report associated with a vehicle | |
| CN103983301A (en) | Vehicle inspection method, system and device | |
| CN105270175A (en) | Speed limiting method and vehicle-mounted system for intelligent automobile | |
| CN106920293A (en) | Automatic recording and analyzing method for vehicle accident | |
| CN112311821A (en) | A traffic accident rescue method, device and vehicle | |
| CN111260481A (en) | Information processing system, program and control method | |
| JP2015191525A (en) | vehicle maintenance system | |
| CN115689774A (en) | Method and system for optimizing a vehicle event process | |
| US11804082B2 (en) | Automated deep learning based on customer driven noise diagnostic assist | |
| DE102020111050A1 (en) | System and method for occupant safety in a vehicle | |
| JP2017219956A (en) | A used car assessment support system that promotes the optimization of used car assessment based on information recorded in the vehicle-mounted fault diagnosis device | |
| CN117058781A (en) | A vehicle accident recall system based on Internet of Things technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |