CN109922136A - Vehicle based on NB-IoT is by scratch alarm method - Google Patents
Vehicle based on NB-IoT is by scratch alarm method Download PDFInfo
- Publication number
- CN109922136A CN109922136A CN201910075598.3A CN201910075598A CN109922136A CN 109922136 A CN109922136 A CN 109922136A CN 201910075598 A CN201910075598 A CN 201910075598A CN 109922136 A CN109922136 A CN 109922136A
- Authority
- CN
- China
- Prior art keywords
- scratch
- vehicle
- data
- iot
- warning message
- 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
Landscapes
- Traffic Control Systems (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The present invention provides a kind of vehicle incident scratch alarm method based on NB-IoT, vehicle carried data collecting terminal is acquired by sensor and scratches amplitude data, cloud computing server will scratch amplitude data and is compared by model algorithm to obtain the position of scratch, type and degree, and client management server cluster issues warning message to mobile intelligent terminal.It solves in the prior art that rate of false alarm is high, fails to report the technical problems such as often, provide and more accurately scratch detection scheme.
Description
Technical field
It is scratched the invention belongs to parking alarm technique field more particularly to a kind of parking rear vehicle based on NB-IoT
The method alarmed simultaneously to car owner.
Background technique
After car owner's parking is left, vehicle is at any time it is possible that the phenomenon that being scraped, being drawn, causes damages to car owner.However,
Parking alarm scheme currently on the market, it is above-mentioned only for thering is the crash data of certain impact power to be acquired and alarm
The technical issues of scheme is that data discriminating fashion is single, scrapes for slight, draws and do not cope with processing method, Er Qieyi effectively
The case where appearance is reported by mistake, is failed to report, alarming not in time.
Summary of the invention
In order to solve the above technical problems, the present invention provides a kind of vehicle incident scratch alarm method based on NB-IoT.In order to
There is a basic understanding to some aspects of the embodiment of disclosure, simple summary is shown below.The summarized section is not
Extensive overview, nor to determine key/critical component or describe the protection scope of these embodiments.Its sole purpose is
Some concepts are presented with simple form, in this, as the preamble of following detailed description.
The present invention adopts the following technical scheme:
In some alternative embodiments, a kind of vehicle incident scratch alarm method based on NB-IoT is provided, comprising:
Vehicle carried data collecting terminal is acquired by compound sensor and scratches amplitude data, and judges the true and false of scratch event；
When the vehicle carried data collecting terminal determines that scratch event is effective, warning message is uploaded to customer account management service
Device cluster；
The client management server cluster is according to the vehicle of the device id Auto-matching current vehicle in the warning message
Type ID and the intelligent mobile terminal of binding, and the scratch amplitude data and vehicle ID are sent to cloud computing server；
The cloud computing server carries out the judgement of the data true and false by model algorithm, and the scratch amplitude data is passed through
The model algorithm is compared to obtain the position of scratch, type and degree；
When the cloud computing server determine data it is true when, by the position of the warning message and scratch, type and
Degree is issued to the mobile intelligent terminal with device id binding by the client management server cluster.
In some alternative embodiments, the vehicle carried data collecting terminal judges the process packet of the true and false of scratch event
It includes: if vehicle is kept in motion or vehicle interior someone or when pet, determining that scratch event is invalid.
In some alternative embodiments, the warning message includes: and scratches amplitude data, device id, vehicle location to sit
Mark scratches time of origin.
In some alternative embodiments, the vehicle based on NB-IoT is by scratch alarm method, further includes: described
Vehicle location coordinate in the warning message is compared mobile intelligent terminal with local terminal current position coordinates, judges whether
It is overlapped, if not being overlapped, shows position, type and the degree of the warning message and scratch.
The utility model has the advantages that the technical solution adopted in the present invention, solves rate of false alarm in the prior art brought by of the invention
Height fails to report the technical problems such as often, provides and more accurately scratch detection scheme.
For the above and related purposes, one or more embodiments include being particularly described below and in claim
In the feature that particularly points out.Certain illustrative aspects are described in detail in the following description and the annexed drawings, and its instruction is only
Some modes in the utilizable various modes of the principle of each embodiment.Other benefits and novel features will be under
The detailed description in face is considered in conjunction with the accompanying and becomes obvious, the disclosed embodiments be all such aspects to be included and they
Be equal.
Detailed description of the invention
Fig. 1 is that the present invention is based on the vehicles of NB-IoT by the schematic diagram for scratching alarm method；
Fig. 2 is that the present invention is based on the vehicles of NB-IoT by the flow diagram for scratching alarm method；
Fig. 3 is model algorithm schematic diagram of the present invention.
Specific embodiment
The following description and drawings fully show specific embodiments of the present invention, to enable those skilled in the art to
Practice them.Other embodiments may include structure, logic, it is electrical, process and other change.Embodiment
Only represent possible variation.Unless explicitly requested, otherwise individual components and functionality is optional, and the sequence operated can be with
Variation.The part of some embodiments and feature can be included in or replace part and the feature of other embodiments.This hair
The range of bright embodiment includes equivalent obtained by the entire scope of claims and all of claims
Object.
As illustrated in fig. 1 and 2, in some illustrative embodiments, a kind of vehicle incident scratch report based on NB-IoT is provided
Alarm method, comprising:
101: vehicle carried data collecting terminal induction to vehicle is scratched, and vehicle carried data collecting terminal is adopted by compound sensor
Collection scratches amplitude data.
Compound sensor includes but is not limited to the multiple sensors combination such as sound, vibration, infrared, microwave.Specifically, multiple
Close sensor can include: G-sensor, pyroscan, microphone, GPS module etc..
G-sensor: it is tested by a large amount of scratch carried out on vehicle different location, by the sensitivity tune of G-sensor
Whole to reasonable range, to collect the data such as the power for scratching produced amplitude, scratch position.
Pyroscan and microphone: in probe vehicles whether someone or pet.
GPS module: to obtain vehicle position data.
102: after vehicle carried data collecting terminal induction to vehicle is scratched, vehicle carried data collecting terminal passes through composite sensing
The data of device acquisition, tentatively judge the true and false of scratch event.Deterministic process is completed by the MCU of vehicle carried data collecting terminal, to sentence
The authenticity of disconnected data.
Tentatively judge that the detailed process of the true and false of scratch event includes:
If vehicle is kept in motion or vehicle interior someone or when pet, determine that scratch event is invalid, i.e. scratch thing
Part is not true.
Under static state due to vehicle, and when interior nobody or pet, if scratching at this time, it is not due to vehicle
Caused by main operation, that is, it can determine that scratch event is effective.If vehicle is kept in motion or vehicle interior someone or when pet,
If scratching at this time, cause to scratch for the operation of car owner, that is, can determine that scratch event is invalid.Preliminary judgement can filter
Except a part of false alarm, the occupancy of analysis resource is reduced, and makes that process is more accurate, optimization.
103: warning message is uploaded to client management server cluster by vehicle carried data collecting terminal.
Warning message includes: to scratch amplitude data, device id, vehicle location coordinate, scratch time of origin.
Vehicle carried data collecting terminal calls NB-IoT communication module group, by protenchyma combined network communication technology by the alarm signal
Breath is uploaded to client management server cluster.Using emerging NB-IoT mechanics of communication, replace it is existing using 23 4G so that after
Continuous 5G mobile communication mode, have low-power consumption, efficiently, bandwidth resources occupy less, use cost it is low, while can also provide very
The many advantages such as comprehensive indoor cellular data connection covering.
104: client management server cluster is according to the vehicle ID of the device id Auto-matching current vehicle in warning message
And the intelligent mobile terminal of binding, specifically, the APP on intelligent mobile terminal can be matched.
Client management server cluster simultaneously will scratch amplitude data and vehicle ID and be sent to cloud computing server.According to different
Vehicle carries out distinctive analytical calculation, so that calculated result is more accurate.
105: cloud computing server carries out the judgement of the data true and false by model algorithm and is then walked if it is determined that data are effective
Rapid 106, if it is determined that data invalid, then terminate process.Cloud computing server will scratch amplitude data to be compared by model algorithm
It is right, such as discovery upload scratch amplitude data meet with the amplitude data in model, then determine that data are effective, i.e., data when it is true
's.
106: cloud computing server will scratch amplitude data and is compared by model algorithm to obtain the position of scratch, class
Type and degree.Cloud computing server passes through amplitude data is scratched in model algorithm and the algorithm model database pre-established
Data are compared, and when these segmentation symbols match, corresponding can identify position, type and the degree of scratch.
107: when cloud computing server determines that data are true, by the position of warning message and scratch, type and degree
The mobile intelligent terminal with device id binding is issued to by client management server cluster.Specifically, can be by warning message
And position, type and the degree of scratch are issued on the APP bound with device id by client management server cluster, APP
It is installed on mobile intelligent terminal.
Mobile intelligent terminal is one or more of mobile phone, tablet computer, computer.
108: after mobile intelligent terminal receives warning message, the vehicle location coordinate in warning message being worked as with local terminal
Front position coordinate is compared, and judges whether to be overlapped, if not being overlapped, carries out step 109；If being overlapped, this scratch is determined
Be car owner's Motor Car Institute extremely, then ignore this warning message.
109: the position of mobile intelligent terminal display alarm information and scratch, type and degree.Specifically, can lead to
The APP pop-up warning message being installed on mobile intelligent terminal is crossed, and shows position, type and the degree of scratch.
The invention also includes: establish model algorithm.
The process for establishing model algorithm includes:
S1: independent contact is established for each vehicle and scratches database, and maintenance is updated to data.
Single model data field includes: vehicle ID, damage position, damaged condition.
The collection process of analogue data includes: to acquire data by the vibrating data collection device of placement inside the vehicle,
Each division region of vehicle carries out simulation and scratches test, to damage the amplitude of vehicle paint as sample collection standard, for damaging journey
Scale makes grade.The data in contact scratch database can be updated according to test in real time, i.e., data be safeguarded, protected
Demonstrate,prove the accuracy of algorithm.
The division region of vehicle is seven, respectively vehicle it is left front, right before, it is left, right in, it is left back, right after and top.
S2: independent environmental factor database is established for each vehicle, as each vehicle is established independent untouchable
Database is scratched, and is constantly subject to perfect.
The collection process of analogue data includes: that vehicle is passed through the vibration of placement inside the vehicle as in actual environment
Data collector acquires the amplitude data that environmental factor causes damage to vehicle.
Environmental factor include: blow, rain, noise, earthquake, large-sized object pass through, such as vehicle.
S3: empirical algorithms database is established.Collecting method is to obtain user to be directed to single by mobile intelligent terminal
The error logging uploaded is reported by mistake, to constantly improve model algorithm.Specifically, can be by the APP on mobile intelligent terminal
Data are passed, with sophisticated model algorithm.
It is compared as shown in figure 3, cloud computing server will scratch amplitude data by model algorithm to obtain scratch
The process of position, type and degree is that input first scratches amplitude data and vehicle ID, according to vehicle ID, searches adaptation
Algorithm model database；Judge to scratch whether amplitude data scratches with the data fit in environmental factor database if meeting
Be as caused by environmental factor, ignore this scratch amplitude data, if not meeting, judge scratch amplitude data whether with contact
Property the data fit that scratches in database export alarming determining data if meeting, then by under client management server cluster
Send out position, type and the degree of warning message and scratch.
It should also be appreciated by one skilled in the art that various illustrative logical boxs, mould in conjunction with the embodiments herein description
Electronic hardware, computer software or combinations thereof may be implemented into block, circuit and algorithm steps.In order to clearly demonstrate hardware and
Interchangeability between software surrounds its function to various illustrative components, frame, module, circuit and step above and carries out
It is generally described.Hardware is implemented as this function and is also implemented as software, depends on specific application and to entire
The design constraint that system is applied.Those skilled in the art can be directed to each specific application, be realized in a manner of flexible
Described function, still, this realization decision should not be construed as a departure from the scope of protection of this disclosure.
Claims (4)
1. the vehicle based on NB-IoT is by scratch alarm method characterized by comprising
Vehicle carried data collecting terminal is acquired by compound sensor and scratches amplitude data, and judges the true and false of scratch event；
When the vehicle carried data collecting terminal determines that scratch event is effective, warning message is uploaded to client management server collection
Group；
The client management server cluster is according to the vehicle ID of the device id Auto-matching current vehicle in the warning message
And the intelligent mobile terminal of binding, and the scratch amplitude data and vehicle ID are sent to cloud computing server；
The cloud computing server carries out the judgement of the data true and false by model algorithm, and by the scratch amplitude data described in
Model algorithm is compared to obtain the position of scratch, type and degree；
When the cloud computing server determines that data are true, by the position of the warning message and scratch, type and degree
The mobile intelligent terminal with device id binding is issued to by the client management server cluster.
2. the vehicle according to claim 1 based on NB-IoT is by scratch alarm method, which is characterized in that the Vehicular data
The process for judging the true and false of scratch event according to acquisition terminal includes:
If vehicle is kept in motion or vehicle interior someone or when pet, determine that scratch event is invalid.
3. the vehicle according to claim 2 based on NB-IoT is by scratch alarm method, which is characterized in that the alarm signal
Breath includes: to scratch amplitude data, device id, vehicle location coordinate, scratch time of origin.
4. the vehicle according to claim 3 based on NB-IoT is by scratch alarm method, which is characterized in that further include:
Vehicle location coordinate in the warning message is compared the mobile intelligent terminal with local terminal current position coordinates,
Judge whether to be overlapped, if not being overlapped, shows position, type and the degree of the warning message and scratch.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910075598.3A CN109922136A (en) | 2019-01-25 | 2019-01-25 | Vehicle based on NB-IoT is by scratch alarm method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910075598.3A CN109922136A (en) | 2019-01-25 | 2019-01-25 | Vehicle based on NB-IoT is by scratch alarm method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109922136A true CN109922136A (en) | 2019-06-21 |
Family
ID=66960752
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910075598.3A Pending CN109922136A (en) | 2019-01-25 | 2019-01-25 | Vehicle based on NB-IoT is by scratch alarm method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109922136A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203432728U (en) * | 2013-07-12 | 2014-02-12 | 上海仪电电子股份有限公司 | Vehicle surface pressure detection system |
| CN104280174A (en) * | 2013-07-12 | 2015-01-14 | 上海仪电电子股份有限公司 | Vehicle surface pressure detection system and method |
| CN205468778U (en) * | 2016-01-29 | 2016-08-17 | 大连楼兰科技股份有限公司 | Vehicle mar detection alarm device |
| KR20180090086A (en) * | 2017-02-02 | 2018-08-10 | 한국과학기술원 | Apparatus and method for notifying scratch of vehicle |
| US20180240194A1 (en) * | 2017-02-23 | 2018-08-23 | International Business Machines Corporation | Visual analytics based vehicle insurance anti-fraud detection |
-
2019
- 2019-01-25 CN CN201910075598.3A patent/CN109922136A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203432728U (en) * | 2013-07-12 | 2014-02-12 | 上海仪电电子股份有限公司 | Vehicle surface pressure detection system |
| CN104280174A (en) * | 2013-07-12 | 2015-01-14 | 上海仪电电子股份有限公司 | Vehicle surface pressure detection system and method |
| CN205468778U (en) * | 2016-01-29 | 2016-08-17 | 大连楼兰科技股份有限公司 | Vehicle mar detection alarm device |
| KR20180090086A (en) * | 2017-02-02 | 2018-08-10 | 한국과학기술원 | Apparatus and method for notifying scratch of vehicle |
| US20180240194A1 (en) * | 2017-02-23 | 2018-08-23 | International Business Machines Corporation | Visual analytics based vehicle insurance anti-fraud detection |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102622798B (en) | Passenger flow statistical analysis system | |
| CN105512720B (en) | A kind of public transit vehicle passenger flow statistics method and system | |
| CN103886741B (en) | A kind of public transportation management system based on Intelligent bus card and method | |
| CN110390262A (en) | Video analysis method, apparatus, server and storage medium | |
| CN109285376A (en) | A kind of bus passenger flow statistical analysis system based on deep learning | |
| CN102722984B (en) | Real-time road condition monitoring method | |
| CN107845259A (en) | Public transport operation situation real-time feedback system and public transport real-time running data processing method | |
| CN102708689B (en) | Real-time traffic monitoring system | |
| CN101465059B (en) | Early-warning system for inspecting and judging urban road traffic safety situation | |
| CN109993138A (en) | A kind of car plate detection and recognition methods and device | |
| WO2014201895A1 (en) | System and method for predicting arrival time of vehicle | |
| CN107564292B (en) | Passenger waiting time rule estimation method based on site WiFi and vehicle-mounted mobile terminal | |
| CN109784254A (en) | A kind of method, apparatus and electronic equipment of rule-breaking vehicle event detection | |
| CN102024323A (en) | Method for extracting vehicle queue length based on floating vehicle data | |
| CN107071716B (en) | Water environment monitoring system and method based on TD-LTE private network | |
| CN109993964A (en) | Intelligent traffic management systems based on Hadoop technology | |
| CN109212541A (en) | High-precision vehicle detecting system based on vehicle perpendicular type feature and laser radar | |
| CN113361825A (en) | Early warning method and system for trampling accident | |
| CN110849411A (en) | Internet of vehicles server, vehicle and vehicle condition evaluation method based on driving oil consumption data | |
| CN109544907A (en) | A kind of vehicle count method, device | |
| CN111806516A (en) | Health management device and method for intelligent train monitoring and operation and maintenance | |
| CN104050319A (en) | Method for realtime online verification of complex traffic control algorithm | |
| CN110213720A (en) | Unexpected prevention method in mobile phone use process based on user behavior analysis | |
| CN113570867A (en) | Urban traffic state prediction method, device, equipment and readable storage medium | |
| CN109677324A (en) | Parked vehicle collision alarm method based on NB-IoT 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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200213 Address after: Room 303, floor 3, building 2, yard 3, ximapo North Street, Shunyi District, Beijing 101300 Applicant after: Beidou intercity (Beijing) Technology Co., Ltd Address before: 100102 Beijing Chaoyang District Wangjing Dongyuan District 4 Building 13-4 to 33 Floors 101, 6 Floors 6A9035 Applicant before: Nanjing Beidou Intercity Online Information Co., Ltd. Beijing Branch |
|
| TA01 | Transfer of patent application right | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190621 |
|
| RJ01 | Rejection of invention patent application after publication |