CN108665710A - Logistics monitoring method and system based on internet of things - Google Patents
Logistics monitoring method and system based on internet of things Download PDFInfo
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- CN108665710A CN108665710A CN201710209371.4A CN201710209371A CN108665710A CN 108665710 A CN108665710 A CN 108665710A CN 201710209371 A CN201710209371 A CN 201710209371A CN 108665710 A CN108665710 A CN 108665710A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/02—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
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Abstract
The logistics monitoring method and system based on Internet of Things that the invention discloses a kind of；This method includes：The load-carrying that vehicle detection subsystem treats the haulage vehicle to set out measures, and carries out mandate of setting out to haulage vehicle accordingly；Vehicle photographic subsystem shoots the shelf of haulage vehicle while haulage vehicle obtains mandate and sets out, and to obtain original image, and is shot to shelf according to default shooting rule after haulage vehicle sets out, to obtain intermediate image；Wireless transmission subsystem obtains the original image, intermediate image from vehicle photographic subsystem, and is sent to monitoring center subsystem；Monitoring center subsystem compares the original image and intermediate image that receive, and according to comparing result to determine whether the load-carrying of haulage vehicle is abnormal.Whether the load-carrying that the present invention can be quickly detected from haulage vehicle by simple mode is abnormal.
Description
Technical field
The present invention relates to a kind of logistics security monitoring technologies, more specifically, it relates to a kind of logistics based on Internet of Things
Monitoring method and system.
Background technology
In the modern society of 21 century, safety also becomes most important problem in every profession and trade, to relevant peace
Full property requires also higher and higher.Especially for transportation, many investigation show in current automobile use environment,
In addition to worrying that vehicle is stolen, also worry occur overloading and road being caused to damage in logistics or the transportational process of passenger traffic, or even go out
The case where existing safety accident.
Such as the Chinese patent that notification number is CN103115662B, disclose a kind of sensing suitable for overload of vehicle monitoring
Device is related to sensing device.If sensing main body, installation connecting element and signal monitoring circuit；Sensing main body sets guide sleeve, support outside
Shell, guide post, power transmission spring, force snesor and zeroing cover board；Guide sleeve is slidably matched with support housing, and guide sleeve front end is exposed
Support housing, guide post are set in support housing, and guide post rear end is slidably matched with support housing, and power transmission spring front, which is located at, leads
Into set, guide post is entangled at power transmission spring rear portion, and force snesor is set in support housing, force snesor be located at guide post rear end and
It returns to zero between cover board, force snesor is connected with guide post, and zeroing cover board is connected with support housing rear end；It senses main body and is set to installation
On connector, installation connecting element is connect with external car bottom；The force snesor of signal monitoring circuit input terminal and sensing main body
Output end connects；The controller input terminal relay sensor signal output end of signal monitoring circuit, controller output end connect display
Device input terminal.
In another example notification number is the Chinese patent of CN1069762, disclose a kind of weighing of load and vehicle monitor automatically it is comprehensive
Close instrument, belong to motor vehicle safe drive device, it can accurately show practical load-carrying, and can limit overload travel, road conditions not
Motor vehicle chassis technology situation and tilting of car body angle can also be monitored in the case of good.The device is sensed by preceding hydraulic displacement
Device, rear hydraulic displacement sensor, vacuum master cylinder, electrical control gear, instrument show observation circuit composition.Structure of the invention letter
It is single, conveniently, it is practical, it is highly reliable, there is higher accuracy and sensitivity, Repeatability is good, and service life is long.It can answer extensively
For various freight trucks and passenger carrying vehicle.
The load-carrying detection method for being directed to lorry or car disclosed by above two patents, is required in lorry or car
It is upper that some complicated mechanical structures and electric device are installed to realize the measurement of weight data, it bothers in the extreme.
Invention content
In view of the deficienciess of the prior art, first of the present invention is designed to provide a kind of logistics based on Internet of Things
Whether monitoring method, the load-carrying that haulage vehicle can be quickly detected from by simple mode are abnormal.
To achieve the above object, the present invention provides following technical solutions：
A kind of logistics monitoring method based on Internet of Things, including：
The load-carrying that vehicle detection subsystem treats the haulage vehicle to set out measures, and set out awarding to haulage vehicle accordingly
Power；
Vehicle photographic subsystem shoots the shelf of haulage vehicle, while haulage vehicle obtains mandate and sets out to obtain
Original image is taken, and shelf are shot according to default shooting rule after haulage vehicle sets out, to obtain intermediate image；
Wireless transmission subsystem obtains the original image, intermediate image from vehicle photographic subsystem, and is sent to monitoring center
Subsystem；
Monitoring center subsystem compares the original image and intermediate image that receive, and is transported according to comparing result with determining
Whether the load-carrying of defeated vehicle is abnormal.
Preferably, the default shooting rule is determined by following steps：
Time difference data library is established, it includes 60 groups of time-difference parameter queues, each group of time-difference parameter queue includes n time-difference parameter
Δ T1~Δ Tn；
Determine the first photo opporunity Tc for obtaining original image；
Number of seconds word Ts is obtained from first photo opporunity Tc；
One group of time-difference parameter queue is transferred from time difference data library according to number of seconds word Ts；
First photo opporunity Tc and n time-difference parameter Δ T1~Δ Tn are separately summed, the intermediate photo opporunity TM1 of acquisition n~
TMn。
Preferably, the default shooting rule is determined by following steps：
Vehicle photographic subsystem is connected to the control system of haulage vehicle to obtain car speed by CAN bus, and is detecting
The shelf of haulage vehicle are continuously shot when stopping to haulage vehicle, to obtain intermediate image；Wherein, be continuously shot when
Between interval be less than 10S.
Preferably, the vehicle photographic subsystem shoots the shelf of transport vehicle with different visual angles, to obtain not
With the original image at visual angle.
Preferably, include by the method that original image and intermediate image compare：
Identify the initial profile of cargo in original image；
Calculate the area S0 of the initial profile；
Identify the intermediate profile of cargo in intermediate image；
Calculate the area Sx of the intermediate profile；
Calculate the difference DELTA S of the area S0 of initial profile, the area Sx of intermediate profile.
Second object of the present invention is to provide a kind of physical distribution monitoring system based on Internet of Things, passes through simple mode
Whether the load-carrying that haulage vehicle can be quickly detected from is abnormal.
To achieve the above object, the present invention provides following technical solutions：
A kind of physical distribution monitoring system based on Internet of Things, including：
Vehicle detection subsystem is configured in before haulage vehicle sets out, is measured to the load-carrying of haulage vehicle, and according to
This carries out mandate of setting out to haulage vehicle；
Vehicle photographic subsystem is configured in when haulage vehicle is authorized to set out and claps the shelf of haulage vehicle
It takes the photograph, to obtain original image；And shelf are shot according to preset filming frequency after haulage vehicle sets out, to obtain
Intermediate image；
It is wirelessly transferred subsystem, is electrically connected with vehicle photographic subsystem, for the original image, intermediate image to be transmitted to prison
Control center subsystem；
Monitoring center subsystem, is configurable for the original image that will be received and intermediate image compares, and according to right
Than result to determine whether the load-carrying of haulage vehicle is abnormal.
Compared with prior art, it is an advantage of the invention that：1, mounting structure is simple, without pacifying in the suspended structure of vehicle
Mounting mechanism structurally and electrically structure；2, the load-carrying of haulage vehicle is monitored using image analysis technology, accuracy and reliable
Property is higher；3, shooting time being calculated by rational algorithm, method of determination is more novel, and one side rule is not easy to be grasped,
Prevent related personnel using shooting gap to load cargo without authorization, on the other hand can also reduce the data volume of photographed data, it is excellent
Whole system is changed.
Description of the drawings
Fig. 1 is the system module figure of physical distribution monitoring system in embodiment 1；
Fig. 2 is the operating diagram of vehicle detection subsystem in embodiment 1；
Fig. 3 is the module map of vehicle photographic subsystem in embodiment 1；
Fig. 4 A are the schematic diagram for the haulage vehicle for having compartment in embodiment 1；
Fig. 4 B are the schematic diagram of the haulage vehicle without compartment in embodiment 1；
Fig. 5 is the module map of wireless transmission subsystem in embodiment 1；
Fig. 6 is the module map of monitoring center subsystem in embodiment 1；
Fig. 7 is the flow chart of logistics monitoring method in embodiment 2.
Reference numeral：100, vehicle detection subsystem；110, intelligent controller；120, RF Reader；130, display；
140, weighing unit；200, vehicle photographic subsystem；210, controller is shot；220, camera；300, it is wirelessly transferred subsystem；
310, data reception module；320, data processing module；330, data transmission blocks；400, monitoring center subsystem；410, net
Network communication module；420, monitoring host computer module；421, data storage cell；422, image comparison unit；510, haulage vehicle；
520, haulage vehicle；600, cargo；700, base station.
Specific implementation mode
With reference to embodiment and attached drawing, the present invention is described in further detail, but embodiments of the present invention are not
It is only limitted to this.
Embodiment 1：
The present embodiment is intended to provide a kind of physical distribution monitoring system based on Internet of Things, image processing techniques is utilized, and combine
Data transmission of internet of things technology, realization monitor the load condition of haulage vehicle in real time.
Referring to Fig.1, which includes mainly vehicle detection subsystem 100, vehicle photographic subsystem 200, wireless transmission
400 4 parts of system 300 and monitoring center subsystem.
With reference to Fig. 2, vehicle detection subsystem 100 includes smart electronics weighbridge, the load-carrying for treating the haulage vehicle that sets out
It is detected.It is mounted on RFID tag on each haulage vehicle, which contains the vehicle letter of the haulage vehicle
Breath, including empty-weight, load weight, seating capacity etc..Smart electronics weighbridge includes weighing unit 140 and intelligent controller 110,
Intelligent controller 110 is configured with display 130 and RF Reader 120, when haulage vehicle drives on weighing unit 140, claims
Weight platform 140 is by data transfer to intelligent controller 110, on the one hand, measurement data is shown in this and shown by intelligent controller 110
Show on device 130, on the other hand, intelligent controller 110 controls on the haulage vehicle that RF Reader 120 identifies on weighing unit 140
RFID tag, to read out the information of vehicles of the haulage vehicle, and by measurement data and the load weight read
It is compared, specifically, after measurement data subtracts empty-weight, if more than load weight, then it represents that the haulage vehicle overloads, no
It does not overload then.
With reference to Fig. 3, vehicle photographic subsystem 200 is installed on haulage vehicle comprising at least one camera 220 is clapped
Controller 210 is taken the photograph, camera 220 is electrically connected with shooting controller 210, is shot with being controlled by shooting controller 210, and
Photographed data is transmitted to shooting controller 210.Shooting controller 210 is also electrically connected with above-mentioned intelligent controller 110, works as intelligence
When energy controller 110 judges that haulage vehicle does not overload, then an authorized order is sent to shooting controller 210；Shoot controller
After 210 receive control instruction, camera 220 is immediately controlled and takes pictures.
Camera 220 is installed on by holder on haulage vehicle, and shooting controller 210 is mountable in driver's cabin.Currently,
There are two types of haulage vehicles, and one kind is to have loading space（See Fig. 4 A）, one kind is no loading space（See Fig. 4 B）.
It therefore, can be by camera for there is the haulage vehicle 510 of loading space 511 when installing camera 220 with reference to Fig. 4 A
220 are installed on inside loading space 511, for example, top four corner with reference to Fig. 4 B, for the haulage vehicle 520 of not loading space,
Camera 220 can be installed on to the top of headstock, the camera lens of camera 220 is towards shelf.
In turn, either there is the haulage vehicle of loading space, still do not have the haulage vehicle of loading space, camera 220220 can be right
Cargo 600600 on shelf is shot.
With reference to Fig. 5, wireless transmission subsystem 300 includes data reception module 310, data processing module 320 and data hair
Send module 330；Wherein, data reception module 310 is electrically connected with above-mentioned shooting controller 210, to control and receive bat from shooting
Take the photograph data；Data processing module 320 is made of processor, is used to obtain photographed data from data reception module 310, and carry out
After corresponding data packing processing, transmission data sending module 330；Data transmission blocks 330 using GPRS module, 3G module,
4G moulds one kind in the block, for the photographed data through packing to be remotely sent to monitoring center subsystem 400.Specifically, data
Photographed data is sent to base station 700 by sending module 330, and photographed data is sent to by internet by base station 700 again
Monitoring center subsystem 400.
With reference to Fig. 6, monitoring center subsystem 400 includes monitoring host computer module 420 and network communication module, wherein network
Communication module is used to receive photographed data by internet, and is transmitted to monitoring host computer module 420；Monitoring host computer module
420 include data storage cell 421, image comparison unit 422, wherein data storage cell 421 is used for from network communication module
It receives photographed data and stores, image comparison unit 422 is configured with image analysis algorithm, for being obtained from data storage cell 421
Photographed data is taken, and carries out image comparison analysis.
Embodiment 2：
Based on the physical distribution monitoring system in embodiment 1, the present embodiment also provides a kind of logistics monitoring method based on Internet of Things, ginseng
According to Fig. 6, this method includes：
The load-carrying that S10, vehicle detection subsystem 100 treat the haulage vehicle to set out measures, and accordingly to haulage vehicle into
Capable mandate of setting out.
With reference to Fig. 2, haulage vehicle to be set out, which sails to, carries out weight detecting on weighing unit 140, when haulage vehicle drives to
When on weighing unit 140, weighing unit 140 is by data transfer to intelligent controller 110, on the one hand, intelligent controller 110 will be surveyed
Amount data are shown on the display 130, and on the other hand, intelligent controller 110 controls RF Reader 120 and identifies weighing unit
The RFID tag on haulage vehicle on 140, to read out the information of vehicles of the haulage vehicle, and by measurement data and institute
The load weight read is compared, specifically, after measurement data subtracts empty-weight, if more than load weight, then it represents that
The haulage vehicle overloads, and does not otherwise overload.When not overloading, then gives the haulage vehicle and set out mandate.
Here mandate of setting out, a kind of understanding can be labor managements, i.e., after weight detecting passes through, artificially let pass；
It can be that intelligent entrance guard is arranged in exit that another kind, which understands, and when haulage vehicle does not overload, intelligent controller 110 is to intelligent door
Prohibit and send an instruction, after intelligent entrance guard receives instruction, opens gate, give and let pass.
S20, vehicle photographic subsystem 200 haulage vehicle obtain authorize set out while, to the shelf of haulage vehicle into
Row shooting to obtain original image, and shoots shelf according to default shooting rule after haulage vehicle sets out, to obtain
Take intermediate image.
With reference to Fig. 3, when intelligent controller 110 judges that haulage vehicle does not overload, then one is sent to shooting controller 210
Authorized order；After shooting controller 210 receives control instruction, camera 220 is immediately controlled and takes pictures.The shooting number obtained at this time
According to for original image.
In this step, there are two types of modes for the default shooting rule, specific as follows：
Mode one：
A1, time difference data library is established（The time difference data library is configured in shooting controller 210）, it includes 60 groups of time-difference parameter teams
Row, each group of time-difference parameter queue include n time-difference parameter Δ T1~Δ Tn；
A2, the first photo opporunity Tc for obtaining original image is determined；
A3, number of seconds word Ts is obtained from first photo opporunity Tc；
A4, one group of time-difference parameter queue is transferred from time difference data library according to number of seconds word Ts；
A5, first photo opporunity Tc and n time-difference parameter Δ T1~Δ Tn are separately summed, obtain n intermediate photo opporunity TM1
~TMn.
In turn, shooting controller 210 is shot according to the intermediate photo opporunity TM1~TMn, control camera 220, with
Obtain intermediate image.
Mode two：
Vehicle photographic subsystem 200 is connected to the control system of haulage vehicle to obtain car speed by CAN bus, and is examining
It measures when haulage vehicle stops and the shelf of haulage vehicle is continuously shot, to obtain intermediate image；Wherein, it is continuously shot
Time interval is less than 10S.
In turn, when haulage vehicle stops when driving, which then controls camera 220 and is shot, to obtain
Take intermediate image.
S30, wireless transmission subsystem obtain the original image, intermediate image from vehicle photographic subsystem 200, and send
To monitoring center subsystem 400.
With reference to Fig. 5, which is transmitted to monitoring center subsystem 400 via wireless transmission subsystem.
S40, monitoring center subsystem 400 compare the original image and intermediate image that receive, and according to comparison
As a result to determine whether the load-carrying of haulage vehicle is abnormal.
With reference to Fig. 4 A, Fig. 6, network communication module 410 receives original image and intermediate image by internet, should
Original image is stored in always in data storage cell 421；When receiving intermediate image, image comparison is calculated based on image analysis
Method compares original image and intermediate image.
In this step, include by the method that original image and intermediate image compare：
The initial profile of cargo 600 in C1, identification original image；
C2, the area S0 for calculating the initial profile；
The intermediate profile of cargo 600 in C3, identification intermediate image；
C4, the area Sx for calculating the intermediate profile；
C5, calculate the area S0 of initial profile, intermediate profile area Sx difference DELTA S.
In turn, when Δ S is more than preset value, indicate that the stacking shape of original cargo 600 is changed, and then can sentence
It is abnormal to break as the load-carrying of the haulage vehicle；Otherwise it is normal.
Claims (6)
1. a kind of logistics monitoring method based on Internet of Things, characterized in that including：
The load-carrying that vehicle detection subsystem (100) treats the haulage vehicle to set out measures, and is carried out accordingly to haulage vehicle
It sets out mandate；
Vehicle photographic subsystem (200) shoots the shelf of haulage vehicle while haulage vehicle obtains mandate and sets out,
To obtain original image, and shelf are shot according to default shooting rule after haulage vehicle sets out, to obtain centre
Image；
Wireless transmission subsystem obtains the original image, intermediate image from vehicle photographic subsystem (200), and is sent to monitoring
Center subsystem (400)；
Monitoring center subsystem (400) compares the original image and intermediate image that receive, and according to comparing result with
Determine whether the load-carrying of haulage vehicle is abnormal.
2. the logistics monitoring method according to claim 1 based on Internet of Things, characterized in that the default shooting rule by
Following steps determine：
Time difference data library is established, it includes 60 groups of time-difference parameter queues, each group of time-difference parameter queue includes n time-difference parameter
Δ T1~Δ Tn；
Determine the first photo opporunity Tc for obtaining original image；
Number of seconds word Ts is obtained from first photo opporunity Tc；
One group of time-difference parameter queue is transferred from time difference data library according to number of seconds word Ts；
First photo opporunity Tc and n time-difference parameter Δ T1~Δ Tn are separately summed, the intermediate photo opporunity TM1 of acquisition n~
TMn。
3. the logistics monitoring method according to claim 1 based on Internet of Things, characterized in that the default shooting rule by
Following steps determine：
Vehicle photographic subsystem (200) by CAN bus is connected to the control system of haulage vehicle to obtain car speed, and
It detects and the shelf of haulage vehicle is continuously shot when haulage vehicle stops, to obtain intermediate image；Wherein, it is continuously shot
Time interval be less than 10S.
4. according to the logistics monitoring method described in claim 1 based on Internet of Things, characterized in that the vehicle photographic subsystem
(200) shelf of transport vehicle are shot with different visual angles, to obtain the original image of different visual angles.
5. according to the logistics monitoring method described in claim 1 based on Internet of Things, characterized in that by original image and intermediate image
The method compared includes：
Identify the initial profile of cargo (600) in original image；
Calculate the area S0 of the initial profile；
Identify the intermediate profile of cargo (600) in intermediate image；
Calculate the area Sx of the intermediate profile；
Calculate the difference DELTA S of the area S0 of initial profile, the area Sx of intermediate profile.
6. a kind of physical distribution monitoring system based on Internet of Things, characterized in that including：
Vehicle detection subsystem (100) is configured in before haulage vehicle sets out, is surveyed to the load-carrying of haulage vehicle
Amount, and mandate of setting out is carried out to haulage vehicle accordingly；
Vehicle photographic subsystem (200), be configured in haulage vehicle be authorized to shelf when setting out to haulage vehicle into
Row shooting, to obtain original image；And shelf are shot according to preset filming frequency after haulage vehicle sets out, with
Obtain intermediate image；
It is wirelessly transferred subsystem (300), is electrically connected with vehicle photographic subsystem (200), is used for the original image, middle graph
As being transmitted to monitoring center subsystem (400)；
Monitoring center subsystem (400), is configurable for the original image that will be received and intermediate image compares, and root
According to comparing result to determine whether the load-carrying of haulage vehicle is abnormal.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710209371.4A CN108665710A (en) | 2017-03-31 | 2017-03-31 | Logistics monitoring method and system based on internet of things |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710209371.4A CN108665710A (en) | 2017-03-31 | 2017-03-31 | Logistics monitoring method and system based on internet of things |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110514276A (en) * | 2019-08-19 | 2019-11-29 | 杭州智诚惠通科技有限公司 | A method of the verification non-at-scene overrun testing data of vehicle |
| CN111798510A (en) * | 2020-06-24 | 2020-10-20 | 南京智鹤电子科技有限公司 | Traffic identification method and device for construction material transport vehicle and electronic equipment |
| CN113362012A (en) * | 2021-07-02 | 2021-09-07 | 柒久园艺科技(北京)有限公司 | Logistics distribution state monitoring system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103869789A (en) * | 2014-03-26 | 2014-06-18 | 卢大伟 | Transported cargo quality monitoring method and system based on internet of things |
| CN104282153A (en) * | 2013-06-08 | 2015-01-14 | 无锡北斗星通信息科技有限公司 | Intelligent recognition device for illegal operation automobile |
| CN104915650A (en) * | 2015-06-05 | 2015-09-16 | 福建天晴数码有限公司 | Vehicle cargo-carrying state identification method and device |
| KR101564381B1 (en) * | 2014-09-01 | 2015-11-02 | 주식회사에스에이티 | System for controlling overloaded vehicle using axle-load weighting machine |
| CN105405239A (en) * | 2015-11-13 | 2016-03-16 | 合肥安奎思成套设备有限公司 | On-line security monitoring method for freight |
| CN205594881U (en) * | 2016-05-16 | 2016-09-21 | 杭州智诚惠通科技有限公司 | Super non -at -scene law enforcement system is controlled to highway |
| CN106331516A (en) * | 2016-09-21 | 2017-01-11 | 绍兴文理学院 | System and method for realizing logistics monitoring based on wireless sensor network |
-
2017
- 2017-03-31 CN CN201710209371.4A patent/CN108665710A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104282153A (en) * | 2013-06-08 | 2015-01-14 | 无锡北斗星通信息科技有限公司 | Intelligent recognition device for illegal operation automobile |
| CN103869789A (en) * | 2014-03-26 | 2014-06-18 | 卢大伟 | Transported cargo quality monitoring method and system based on internet of things |
| KR101564381B1 (en) * | 2014-09-01 | 2015-11-02 | 주식회사에스에이티 | System for controlling overloaded vehicle using axle-load weighting machine |
| CN104915650A (en) * | 2015-06-05 | 2015-09-16 | 福建天晴数码有限公司 | Vehicle cargo-carrying state identification method and device |
| CN105405239A (en) * | 2015-11-13 | 2016-03-16 | 合肥安奎思成套设备有限公司 | On-line security monitoring method for freight |
| CN205594881U (en) * | 2016-05-16 | 2016-09-21 | 杭州智诚惠通科技有限公司 | Super non -at -scene law enforcement system is controlled to highway |
| CN106331516A (en) * | 2016-09-21 | 2017-01-11 | 绍兴文理学院 | System and method for realizing logistics monitoring based on wireless sensor network |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110514276A (en) * | 2019-08-19 | 2019-11-29 | 杭州智诚惠通科技有限公司 | A method of the verification non-at-scene overrun testing data of vehicle |
| CN111798510A (en) * | 2020-06-24 | 2020-10-20 | 南京智鹤电子科技有限公司 | Traffic identification method and device for construction material transport vehicle and electronic equipment |
| CN113362012A (en) * | 2021-07-02 | 2021-09-07 | 柒久园艺科技(北京)有限公司 | Logistics distribution state monitoring system |
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Application publication date: 20181016 |