CN110335441A - A kind of road transport vehicle drive behaviorist risk dynamic estimation system - Google Patents
A kind of road transport vehicle drive behaviorist risk dynamic estimation system Download PDFInfo
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- CN110335441A CN110335441A CN201910692506.6A CN201910692506A CN110335441A CN 110335441 A CN110335441 A CN 110335441A CN 201910692506 A CN201910692506 A CN 201910692506A CN 110335441 A CN110335441 A CN 110335441A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W2040/0818—Inactivity or incapacity of driver
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W2040/0818—Inactivity or incapacity of driver
- B60W2040/0827—Inactivity or incapacity of driver due to sleepiness
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W2040/0872—Driver physiology
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- General Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Automation & Control Theory (AREA)
- Mathematical Physics (AREA)
- Transportation (AREA)
- Traffic Control Systems (AREA)
Abstract
A kind of road transport vehicle drive behaviorist risk dynamic estimation system, pass through local data acquisition module, acquire the operating parameter of current vehicle, the location information of vehicle and driver parameter, it evaluates the driving risk of current vehicle and warning is provided, by cloud risk dynamic evaluation module according to the operating parameter of the current vehicle of acquisition, the current vehicle running region and destination region of the location information of vehicle and driver parameter and cloud data collecting module collected transfer the region and the current and future weather conditions information and traffic information in destination region carry out data fusion and related data formed Risk Evaluation Factors by algorithm and forms calculating conclusion, reach the function of transport dynamic risk intelligent evaluation and early warning, improve road hazard cargo transportation security management level.
Description
Technical field
Present invention relates particularly to road safety technology technical fields, and in particular to a kind of road transport vehicle drive behavior wind
Dangerous dynamic estimation system.
Background technique
In recent years, China's dangerous cargo year highway transport volume increased year by year.For example same flowing of vehicle transport dangerous goods
" bomb ", life security and property safety to the people cause potential danger.In recent years, a lot of dangerous goods have been recurred
Object transports special major accident, not only hinders the sound development of industry, people life property safety is seriously threatened, more to society
Stable and natural environment adversely affects.
Safety of China department and transportation department require that transport enterprise reinforces the supervision of Dangerous Goods Transport process dynamics, according to
Monitoring equipment is equipped with special monitor to transport dynamic parameter supervision.However existing monitoring is mostly manually to monitor, and is monitored simultaneously
Tens vehicles, working strength is larger, and some monitoring personnel work are half-hearted in addition, monitors help lacking Risk-warning auxiliary
Under, being easy to cause risk, there are loopholes.Therefore urgently study based on Internet of Things acquisition transport dynamic parameter, to risk in transit into
Row assessment in real time, intelligent early-warning technology.Summary of the invention
In order to solve technological deficiency of the existing technology, it is dynamic that the present invention provides a kind of road transport vehicle drive behaviorist risks
State evaluation system.
The technical solution that the present invention uses is: a kind of road transport vehicle drive behaviorist risk dynamic estimation system,
It is characterized in that, the risk dynamic estimation system includes data acquisition module, data transmission module, risk dynamic evaluation mould
Block, pre-warning signal processing module, as a result output module and alarm module, the data acquisition module include that local data is adopted
Collect module and cloud data acquisition module, the risk dynamic evaluation module includes local risk dynamic evaluation module and cloud
Risk dynamic evaluation module；
Local data acquisition module: the operating parameter of current vehicle, the location information of vehicle and driver parameter are acquired, through number
Local risk dynamic evaluation module and cloud risk dynamic evaluation module are transmitted to according to transmission module；
Cloud data acquisition module: the region and destination region are transferred according to current vehicle running region and destination region
Current and future weather conditions information and traffic information are to cloud risk dynamic evaluation module；
Data transmission module: receive local data acquisition module acquisition data and be transferred to local risk dynamic evaluation module and
Cloud risk dynamic evaluation module；
Local risk dynamic evaluation module: the operating parameter of the current vehicle transmitted through data transmission module, vehicle are received
Location information and driver parameter, according to engine speed, turning angle of steering wheel, section in current vehicle current operating parameter
Air valve angle, indicating brake action sensor information；Driver fatigue state and driver's driving mood in driver parameter, vehicle
In location information transportational process hypervelocity, time-out and not by link travel overall merit assess risk in transit, and judge whether be more than
Risk acceptability, if it exceeds then being issued warning signal to alarm module；
Cloud risk dynamic evaluation module: the operating parameter of the current vehicle transmitted through data transmission module, vehicle are received
Location information and driver parameter, receive cloud data collecting module collected current vehicle running region and purpose area
The current and future weather conditions information and traffic information in the region and destination region are transferred in domain, according to above- mentioned information and ginseng
Number, transfers the quantized value of different parameters corresponding accident probability and damage sequence, is transported by risk assessment database model logic
It calculates, calculates the risk in transit of collection process, and the accumulative risk in transit for obtaining entire transportational process or the risk in transit in certain section；
The risk in transit for certain transportation route that risk evaluation module assessment is set according to waybill module, and judge whether to be more than that risk can connect
It is spent, if it exceeds being issued warning signal to alarm module；
Pre-warning signal processing module: the Risk-warning of local risk dynamic evaluation module and cloud risk dynamic evaluation module is received
Signal is simultaneously issued warning signal to alarm module；
As a result output module: output shows local risk dynamic evaluation module and cloud risk dynamic evaluation module risk assessment knot
Fruit；
Alarm module: it receives the pre-warning signal that pre-warning signal processing module issues and carries out warning reminding.
The local data acquisition module include acquire vehicle geographical location and speed parameter vehicle localization module,
Engine speed, error code are acquired, turning angle of steering wheel, throttle valve angle, indicating brake action, tire pressure are acquired by sensor
With the vehicle operating parameters acquisition module of temperature parameter, the driver of driver fatigue state and driver's mood for identification
Parameter acquisition unit.
Driver parameter's acquisition unit includes image collecting device and identification module.
The alarm module includes interior buzzer alarm, vehicle body warning lamp and the mobile phone for sending workshop information warning
APP。
The beneficial effects of the present invention are: the present invention provides a kind of road transport vehicle drive behaviorist risk dynamic evaluation system
System, by local data acquisition module, acquires the operating parameter of current vehicle, the location information of vehicle and driver parameter,
The driving risk for evaluating current vehicle simultaneously provides warning, by cloud risk dynamic evaluation module according to the current vehicle of acquisition
The current vehicle of operating parameter, the location information of vehicle and driver parameter and cloud data collecting module collected travels area
The region is transferred in domain and destination region and the current and future weather conditions information and traffic information in destination region carry out
Related data is simultaneously formed Risk Evaluation Factors by algorithm and forms calculating conclusion by data fusion, reaches transport dynamic risk intelligence
The function with early warning can be assessed, road hazard cargo transportation security management level is improved.
Detailed description of the invention
Fig. 1 is risk dynamic estimation system Structure and Process schematic diagram of the present invention.
Wherein 1- data acquisition module, 2- data transmission module, 3- risk dynamic evaluation module, 4- pre-warning signal handle mould
Block, 5- result output module, 6- alarm module, 11- local data acquisition module, the cloud 12- data acquisition module, 31- are local
Risk dynamic evaluation module, the cloud 32- risk dynamic evaluation module, 61- car buzzer alarm, 62- vehicle body warning lamp, 63-
Cell phone application, 111- vehicle localization module, 112- vehicle operating parameters acquisition module, 113- driver parameter's acquisition unit, 114-
Image collecting device, 115- identification module.
Specific embodiment
Now in conjunction with Fig. 1, invention is further explained, a kind of road transport vehicle drive behaviorist risk dynamic evaluation
System, the risk dynamic estimation system include data acquisition module 1, data transmission module 2, risk dynamic evaluation module 3,
Pre-warning signal processing module 4, as a result output module 5 and alarm module 6, the data acquisition module 1 include local data
Acquisition module 11 and cloud data acquisition module 12, the risk dynamic evaluation module 3 include local risk dynamic evaluation mould
Block 31 and cloud risk dynamic evaluation module 32, operating parameter of the local risk dynamic evaluation module 31 to current vehicle, vehicle
Location information and driver parameter assess, and given a warning prompting；Cloud risk dynamic evaluation module 32
Systematic analysis technique is carried out according to the data that local data acquisition module 11 and cloud data acquisition module 12 acquire, and is issued
Warning is reminded.
Local data acquisition module: acquiring the operating parameter of current vehicle, the location information of vehicle and driver parameter,
Local risk dynamic evaluation module and cloud risk dynamic evaluation module are transmitted to through data transmission module；
Cloud data acquisition module: the region and destination region are transferred according to current vehicle running region and destination region
Current and future weather conditions information and traffic information are to cloud risk dynamic evaluation module；
Data transmission module: receive local data acquisition module acquisition data and be transferred to local risk dynamic evaluation module and
Cloud risk dynamic evaluation module；
Local risk dynamic evaluation module: the operating parameter of the current vehicle transmitted through data transmission module, vehicle are received
Location information and driver parameter, according to engine speed, turning angle of steering wheel, section in current vehicle current operating parameter
Air valve angle, indicating brake action sensor information；Driver fatigue state and driver's driving mood in driver parameter, vehicle
In location information transportational process hypervelocity, time-out and not by link travel overall merit assess risk in transit, and judge whether be more than
Risk acceptability, if it exceeds then being issued warning signal to alarm module；
Cloud risk dynamic evaluation module: the operating parameter of the current vehicle transmitted through data transmission module, vehicle are received
Location information and driver parameter, receive cloud data collecting module collected current vehicle running region and purpose area
The current and future weather conditions information and traffic information in the region and destination region are transferred in domain, according to above- mentioned information and ginseng
Number, transfers the quantized value of different parameters corresponding accident probability and damage sequence, is transported by risk assessment database model logic
It calculates, calculates the risk in transit of collection process, and the accumulative risk in transit for obtaining entire transportational process or the risk in transit in certain section；
The risk in transit for certain transportation route that risk evaluation module assessment is set according to waybill module, and judge whether to be more than that risk can connect
It is spent, if it exceeds being issued warning signal to alarm module；
Pre-warning signal processing module: the Risk-warning of local risk dynamic evaluation module and cloud risk dynamic evaluation module is received
Signal is simultaneously issued warning signal to alarm module；
As a result output module: output shows local risk dynamic evaluation module and cloud risk dynamic evaluation module risk assessment knot
Fruit；
Alarm module: it receives the pre-warning signal that pre-warning signal processing module issues and carries out warning reminding.
The local data acquisition module includes the geographical location for acquiring vehicle and the vehicle localization module of speed parameter
111, engine speed, error code are acquired, turning angle of steering wheel, throttle valve angle, indicating brake action, tire are acquired by sensor
The vehicle operating parameters acquisition module 112 of pressure and temperature parameter, driver fatigue state and driver's mood for identification
Driver parameter's acquisition unit 113.
Driver parameter's acquisition unit includes image collecting device 114 and identification module 115, and identification driver is tired
Labor state and driver's mood.
The alarm module includes interior buzzer alarm 61, vehicle body warning lamp 62 and the hand for sending workshop information warning
Machine APP63 by interior buzzer alarm 61, vehicle body warning lamp 62 and sends the cell phone application 63 of workshop information warning to vehicle
The risk of transport sounds a warning.
In the description of the present invention, it should be noted that term " center ", " longitudinal direction ", " transverse direction ", "upper", "lower",
The orientation or positional relationship of the instructions such as "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom" "inner", "outside" is
It is based on the orientation or positional relationship shown in the drawings, is merely for convenience of description of the present invention and simplification of the description, rather than instruction or dark
Show that signified device or element must have a particular orientation, be constructed and operated in a specific orientation, therefore should not be understood as pair
Limitation of the invention.In addition, term " first ", " second " are used for description purposes only, it is not understood to indicate or imply opposite
Importance.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood at this with concrete condition
Concrete meaning in invention.In addition, in the description of the present invention, unless otherwise indicated, the meaning of " plurality " is two or two
More than.
Every technical staff's notice: of the invention although the present invention is described according to above-mentioned specific embodiment
Invention thought be not limited in the invention, any repacking with inventive concept will all be included in this patent protection of the patent right
In range.
The above is only a preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-mentioned implementation
Example, all technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
Those of ordinary skill for, several improvements and modifications without departing from the principles of the present invention, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (4)
1. a kind of road transport vehicle drive behaviorist risk dynamic estimation system, which is characterized in that the risk dynamic evaluation
System includes data acquisition module (1), data transmission module (2), risk dynamic evaluation module (3), pre-warning signal processing module
(4), as a result output module (5) and alarm module (6), the data acquisition module (1) include local data acquisition module
(11) with cloud data acquisition module (12), the risk dynamic evaluation module (3) includes local risk dynamic evaluation module
(31) and cloud risk dynamic evaluation module (32)；
Local data acquisition module: the operating parameter of current vehicle, the location information of vehicle and driver parameter are acquired, through number
Local risk dynamic evaluation module and cloud risk dynamic evaluation module are transmitted to according to transmission module；
Cloud data acquisition module: the region and destination region are transferred according to current vehicle running region and destination region
Current and future weather conditions information and traffic information are to cloud risk dynamic evaluation module；
Data transmission module: receive local data acquisition module acquisition data and be transferred to local risk dynamic evaluation module and
Cloud risk dynamic evaluation module；
Local risk dynamic evaluation module: the operating parameter of the current vehicle transmitted through data transmission module, vehicle are received
Location information and driver parameter, according to engine speed, turning angle of steering wheel, section in current vehicle current operating parameter
Air valve angle, indicating brake action sensor information；Driver fatigue state and driver's driving mood in driver parameter, vehicle
In location information transportational process hypervelocity, time-out and not by link travel overall merit assess risk in transit, and judge whether be more than
Risk acceptability, if it exceeds then being issued warning signal to alarm module；
Cloud risk dynamic evaluation module: the operating parameter of the current vehicle transmitted through data transmission module, vehicle are received
Location information and driver parameter, receive cloud data collecting module collected current vehicle running region and purpose area
The current and future weather conditions information and traffic information in the region and destination region are transferred in domain, according to above- mentioned information and ginseng
Number, transfers the quantized value of different parameters corresponding accident probability and damage sequence, is transported by risk assessment database model logic
It calculates, calculates the risk in transit of collection process, and the accumulative risk in transit for obtaining entire transportational process or the risk in transit in certain section；
The risk in transit for certain transportation route that risk evaluation module assessment is set according to waybill module, and judge whether to be more than that risk can connect
It is spent, if it exceeds being issued warning signal to alarm module；
Pre-warning signal processing module: the Risk-warning of local risk dynamic evaluation module and cloud risk dynamic evaluation module is received
Signal is simultaneously issued warning signal to alarm module；
As a result output module: output shows local risk dynamic evaluation module and cloud risk dynamic evaluation module risk assessment knot
Fruit；
Alarm module: it receives the pre-warning signal that pre-warning signal processing module issues and carries out warning reminding.
2. a kind of road transport vehicle drive behaviorist risk dynamic estimation system according to claim 1, which is characterized in that
The local data acquisition module includes the geographical location for acquiring vehicle and the vehicle localization module (111) of speed parameter, is adopted
Collect engine speed, error code, by sensor acquire turning angle of steering wheel, throttle valve angle, indicating brake action, tire pressure and
The vehicle operating parameters acquisition module (112) of temperature parameter, driver fatigue state for identification and driver's mood are driven
The person's of sailing parameter acquisition unit (113).
3. a kind of road transport vehicle drive behaviorist risk dynamic estimation system according to claim 2, which is characterized in that
Driver parameter's acquisition unit includes image collecting device (114) and identification module (115).
4. a kind of road transport vehicle drive behaviorist risk dynamic estimation system according to claim 1, which is characterized in that
The alarm module includes interior buzzer alarm (61), vehicle body warning lamp (62) and the mobile phone for sending workshop information warning
APP(63).
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910692506.6A CN110335441A (en) | 2019-07-30 | 2019-07-30 | A kind of road transport vehicle drive behaviorist risk dynamic estimation system |
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| CN201910692506.6A CN110335441A (en) | 2019-07-30 | 2019-07-30 | A kind of road transport vehicle drive behaviorist risk dynamic estimation system |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111845765A (en) * | 2020-08-28 | 2020-10-30 | 陕西科技大学 | Method and platform for monitoring driver standard driving of vehicle operation and maintenance enterprise |
| CN112099508A (en) * | 2020-09-22 | 2020-12-18 | 北京百度网讯科技有限公司 | Data management method and device for automatic driving vehicle |
| CN112418400A (en) * | 2020-11-20 | 2021-02-26 | 江苏驭道数据科技有限公司 | Vehicle driving safety risk assessment method and system |
| CN112613406A (en) * | 2020-12-24 | 2021-04-06 | 吉林大学 | Commercial vehicle multi-dimensional operation evaluation method based on big data |
| CN113470344A (en) * | 2020-03-31 | 2021-10-01 | 北京慧行实达科技有限公司 | Cloud recognition early warning network system for dynamic supervision of road transport vehicles |
| TWI796034B (en) * | 2021-12-07 | 2023-03-11 | 南臺學校財團法人南臺科技大學 | System for issuing warnings according to risk score of vehicle driving |
| CN116258431A (en) * | 2023-05-15 | 2023-06-13 | 成都运荔枝科技有限公司 | Cold chain transportation safety remote monitoring system based on internet |
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| CN110033614A (en) * | 2019-03-22 | 2019-07-19 | 山西省交通科学研究院有限公司 | A kind of road hazard cargo transport dynamic risk early warning system based on technology of Internet of things |
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| CN109872554A (en) * | 2019-03-22 | 2019-06-11 | 山西省交通科学研究院有限公司 | A kind of expressway fog zone promotes the bus or train route early warning system of traffic safety |
| CN110033614A (en) * | 2019-03-22 | 2019-07-19 | 山西省交通科学研究院有限公司 | A kind of road hazard cargo transport dynamic risk early warning system based on technology of Internet of things |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113470344A (en) * | 2020-03-31 | 2021-10-01 | 北京慧行实达科技有限公司 | Cloud recognition early warning network system for dynamic supervision of road transport vehicles |
| CN111845765A (en) * | 2020-08-28 | 2020-10-30 | 陕西科技大学 | Method and platform for monitoring driver standard driving of vehicle operation and maintenance enterprise |
| CN112099508A (en) * | 2020-09-22 | 2020-12-18 | 北京百度网讯科技有限公司 | Data management method and device for automatic driving vehicle |
| CN112418400A (en) * | 2020-11-20 | 2021-02-26 | 江苏驭道数据科技有限公司 | Vehicle driving safety risk assessment method and system |
| CN112613406A (en) * | 2020-12-24 | 2021-04-06 | 吉林大学 | Commercial vehicle multi-dimensional operation evaluation method based on big data |
| TWI796034B (en) * | 2021-12-07 | 2023-03-11 | 南臺學校財團法人南臺科技大學 | System for issuing warnings according to risk score of vehicle driving |
| CN116258431A (en) * | 2023-05-15 | 2023-06-13 | 成都运荔枝科技有限公司 | Cold chain transportation safety remote monitoring system based on internet |
| CN116258431B (en) * | 2023-05-15 | 2023-09-19 | 成都运荔枝科技有限公司 | Cold chain transportation safety remote monitoring system based on internet |
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