CN113095763A - Monitoring method, device, system and medium for in-transit commodity vehicle - Google Patents
Monitoring method, device, system and medium for in-transit commodity vehicle Download PDFInfo
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Abstract
The invention discloses a method, a device, a system and a medium for monitoring an in-transit commodity vehicle. The method comprises the following steps: acquiring logistics information of the in-transit commodity vehicle in real time, wherein the logistics information comprises in-transit commodity vehicle information, transport vehicle positions and in-transit commodity vehicle to store information; after the commodity vehicle in transit is remotely controlled to be normally electrified within a set time, first vehicle condition information of the commodity vehicle in transit which is normally electrified is obtained; when the commodity vehicle in transit is monitored to have abnormal power-on behavior, second vehicle condition information of the commodity vehicle in transit which is abnormally powered on is obtained; the abnormal power-on behavior is automatic power-on at a time other than the set time; and carrying out early warning judgment on the in-transit commodity vehicle based on the logistics information, the first vehicle condition information and the second vehicle condition information. By using the method, the position information of the in-transit vehicle can be effectively monitored, and the illegal behaviors of the in-transit vehicle can be monitored and early warned.
Description
Technical Field
The embodiment of the invention relates to the technical field of automobiles, in particular to a method, a device, a system and a medium for monitoring an in-transit commodity vehicle.
Background
The commodity vehicles manufactured by current automobile manufacturers need to be transported to a warehouse of a dealer through a logistics company through logistics vehicles, the manufacturers can realize the tracking management of the transportation process of the commodity vehicles by positioning the GPS positions of the logistics transportation vehicles for the commodity vehicles which are in transit and are out of the warehouse at present, and the method has the main problems that the monitoring of the commodity vehicles can be realized only indirectly through the position information of the logistics vehicles, and the position information of the commodity vehicles in transit cannot be directly mastered.
Therefore, how to monitor the commercial vehicles in transit in real time is a technical problem to be solved urgently at present.
Disclosure of Invention
The embodiment of the invention provides a method, a device, a system and a medium for monitoring in-transit commodity vehicles, which can effectively monitor the position information of in-transit vehicles and can monitor and early warn illegal behaviors of the in-transit vehicles.
In a first aspect, an embodiment of the present invention provides a method for monitoring an in-transit commercial vehicle, including:
acquiring logistics information of the in-transit commodity vehicle in real time, wherein the logistics information comprises in-transit commodity vehicle information, transport vehicle positions and in-transit commodity vehicle to store information;
after the commodity vehicle in transit is remotely controlled to be normally electrified within a set time, first vehicle condition information of the commodity vehicle in transit which is normally electrified is obtained;
when the commodity vehicle in transit is monitored to have abnormal power-on behavior, second vehicle condition information of the commodity vehicle in transit which is abnormally powered on is obtained; the abnormal power-on behavior is automatic power-on at a time other than the set time;
and carrying out early warning judgment on the in-transit commodity vehicle based on the logistics information, the first vehicle condition information and the second vehicle condition information.
In a second aspect, an embodiment of the present invention further provides a monitoring device for an in-transit commercial vehicle, including:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring logistics information of the commodity vehicles in transit in real time, and the logistics information comprises the commodity vehicle in transit information, the position of a transport vehicle and the information of the commodity vehicles in transit from a store;
the control module is used for remotely controlling the commodity vehicle in transit to be normally electrified within set time and then acquiring first vehicle condition information of the normally electrified commodity vehicle in transit;
the monitoring module is used for acquiring second vehicle condition information of the commodity vehicle which is abnormally electrified when the commodity vehicle in transit is monitored to have abnormal electrification behavior; the abnormal power-on behavior is automatic power-on at a time other than the set time;
and the judgment module is used for carrying out early warning judgment on the in-transit commodity vehicle based on the logistics information, the first vehicle condition information and the second vehicle condition information.
In a third aspect, an embodiment of the present invention further provides a monitoring system for an in-transit commercial vehicle, including:
the system comprises an early warning module and a data docking module; the early warning module is connected with the data docking module;
the data docking module is used for realizing data docking of the logistics supervision system background, the marketing system and the Internet of vehicles data background and acquiring logistics information and vehicle condition information of the commodity vehicles in transit in real time;
the early warning module is used for carrying out early warning judgment on the commodity vehicles in transit according to the vehicle condition information of the commodity vehicles in transit and the logistics information of the commodity vehicles in transit.
In a fourth aspect, the embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method for monitoring an in-transit commercial vehicle as provided in any of the embodiments of the present invention.
The embodiment of the invention provides a method, a device, a system and a medium for monitoring an in-transit commodity vehicle, which comprises the steps of firstly acquiring logistics information of the in-transit commodity vehicle in real time, wherein the logistics information comprises information of the in-transit commodity vehicle, the position of a transport vehicle and information of the in-transit commodity vehicle from a store; then remotely controlling the commodity vehicle in transit to be normally electrified within a set time, and acquiring first vehicle condition information of the commodity vehicle in transit which is normally electrified; then when the commodity vehicle in transit is monitored to have abnormal electrification behavior, second vehicle condition information of the commodity vehicle in transit which is electrified abnormally is obtained; the abnormal power-on behavior is automatic power-on at a time other than the set time; and finally, carrying out early warning judgment on the in-transit commodity vehicle based on the logistics information, the first vehicle condition information and the second vehicle condition information. By utilizing the technical scheme, the position information of the vehicle in transit can be effectively monitored, and the violation behaviors of the vehicle in transit can be monitored and early warned.
Drawings
Fig. 1 is a schematic flow chart of a monitoring method for an in-transit commercial vehicle according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for monitoring a commercial vehicle in transit according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a monitoring device for an in-transit commercial vehicle according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a monitoring system for an in-transit commercial vehicle according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of a monitoring system of an in-transit commercial vehicle according to a fifth embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and the embodiments of the present invention are illustrative only and are not intended to limit the scope of the present invention.
It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present invention are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in the present invention are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that reference to "one or more" unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present invention are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
Example one
The method for monitoring the commodity vehicles in transit provided by the embodiment of the invention is based on the real-time updating of all information of the commodity vehicles in transit and the real-time updating of all information of the commodity vehicles in transit from stores, and meanwhile, the method for monitoring the commodity vehicles in transit is based on the internet of vehicles and the in-vehicle positioning technology. After the commodity vehicle in transit is powered on, vehicle information is reported by the vehicle-mounted intelligent terminal, and the method can analyze logic open content, data warehouse technology, data analysis and processing and structured time sequence data sequenced according to time and latitude based on the internet of vehicles big data.
Fig. 1 is a schematic flowchart of a method for monitoring an in-transit commercial vehicle according to an embodiment of the present invention, where the method is applicable to monitoring a commercial vehicle in a logistics transit, and the method can be executed by a monitoring device of the in-transit commercial vehicle, where the device can be implemented by software and/or hardware, and is generally integrated on a monitoring system of the in-transit commercial vehicle, and the monitoring system can be installed on a terminal device, where the terminal device includes, but is not limited to: cell phones and computer devices.
As shown in fig. 1, a monitoring method for a commercial vehicle in transit according to a first embodiment of the present invention includes the following steps:
and S110, acquiring logistics information of the goods vehicle in transit in real time, wherein the logistics information comprises the goods vehicle in transit information, the position of the transport vehicle and the goods vehicle-to-store information in transit.
In this embodiment, the in-transit commodity vehicle may be a commodity vehicle in transit for logistics transportation; the logistics information can be logistics information of the in-transit commodity vehicles, and the logistics company can update the logistics information to the marketing data system in real time, namely the logistics information can be obtained from the marketing system.
The in-transit commodity vehicle information can comprise an identification code and a vehicle type of the in-transit commodity vehicle, the identification code can be a vin code, and the in-transit commodity vehicle can be identified through the identification code. The transport vehicle position may be the position of a vehicle used to transport the commodity vehicle in transit; the in-transit commodity car-to-store information can be information representing whether the in-transit commodity car is transported to a physical store, the in-store information of the in-transit commodity car can be found in the physical store after the logistics information shows that the in-transit commodity car arrives at the store, and the in-store information can also comprise the time of the in-transit commodity car arriving at the store.
It should be noted that the logistics information may also include basic attribute information of the transportation vehicle, driver information, and time information. The basic attribute information may include a license plate number of the transport vehicle and a vehicle type of the transport vehicle, the driver information may include an age and a name of the driver, a contact telephone of the driver, and the like, and the time information may include a corresponding time when the transport vehicle arrives at a certain position.
In this embodiment, the manner of obtaining the logistics information is not limited, and for example, the manner of obtaining the logistics information may be obtained from the marketing data system in real time by calling a Restful interface.
And S120, after the commodity vehicle in transit is remotely controlled to be normally electrified within the set time, acquiring first vehicle condition information of the commodity vehicle in transit which is normally electrified.
The set time can be preset time, and for example, it can be preset to remotely awaken all goods vehicles in transit every half hour and control the goods vehicles in transit to be powered on. The normal power-on can be understood as that the goods vehicle in transit is powered on after receiving a power-on instruction, and the power-on instruction can be remotely sent to the goods vehicle in transit by a wireless gateway T-BOX device arranged in front of the vehicle end. The first vehicle condition information may be information representing vehicle conditions of the normally powered on commodity-in-transit vehicle, and the first vehicle condition information may include position information, time information, an engine state of the normally powered on commodity-in-transit vehicle, a vehicle speed of the normally powered on commodity-in-transit vehicle, a driving mileage of the normally powered on commodity-in-transit vehicle, a vehicle power state of the normally powered on commodity-in-transit vehicle, and the like.
In the embodiment, the T-BOX is arranged in front of the vehicle end of each on-road commodity vehicle through remote control so as to awaken the on-road commodity vehicle and control the on-road commodity vehicle to be normally powered on, and when the on-road commodity vehicle is normally powered on, the generated first vehicle condition information can be automatically uploaded to the TSP platform through the network, so that the first vehicle condition information can be obtained in the TSP platform, and the content is analyzed and developed based on the internet of vehicles big data analysis logic, the data ETL is completed, the analysis processing is carried out, and the first vehicle condition information is analyzed and applied after being sorted according to the time dimension.
It should be noted that the system can obtain the first vehicle condition information of the normally powered in-transit commodity vehicle by calling the Restful interface of the data lake vehicle state database.
In this embodiment, the in-transit commercial vehicle can be normally powered on through remote control, so that the position of the in-transit commercial vehicle which is normally powered on can be obtained in real time, and the in-transit commercial vehicle can be monitored.
S130, when the commodity vehicle in transit is monitored to have abnormal electrification behavior, acquiring second vehicle condition information of the commodity vehicle in transit which is electrified abnormally; the abnormal power-on behavior is automatic power-on at a time other than the set time.
The abnormal power-on behavior can be understood as a behavior that the commodity vehicle in transit is not automatically powered on in the logistics process within a preset time through remote control, and can also be understood as a behavior that the commodity vehicle in transit is automatically powered on in the logistics process. The second vehicle condition information may be information characterizing vehicle conditions of the abnormally powered commercial vehicle in transit, and the second vehicle condition information may include location information of the abnormally powered commercial vehicle in transit, time information, an engine state of the abnormally powered commercial vehicle in transit, a vehicle speed of the abnormally powered commercial vehicle in transit, a driving mileage of the abnormally powered commercial vehicle in transit, a vehicle power state of the abnormally powered commercial vehicle in transit, and the like.
In this embodiment, if the in-transit commodity vehicle automatically uploads vehicle data when not receiving the power-on instruction or the monitoring system of the in-transit commodity vehicle automatically acquires the vehicle data uploaded by the in-transit commodity vehicle when not sending the power-on instruction, it may be determined that the in-transit commodity vehicle has an abnormal power-on behavior, and the in-transit commodity vehicle with the abnormal power-on behavior is determined as the abnormally powered-on in-transit commodity vehicle.
The generated second vehicle condition information can be automatically uploaded to a content Service Provider (TSP) platform through a network after the commodity-on-road vehicle is abnormally powered on, the second vehicle condition information uploaded on the abnormally powered commodity-on-road vehicle can be further acquired in the TSP platform, and the second vehicle condition information is analyzed and applied after content, a data warehouse technology (ETL), analysis processing and time dimension sequencing are developed based on vehicle networking big data analysis logic.
It should be noted that the system may obtain the second vehicle condition information of the goods vehicle in transit, which is abnormally powered on, by calling the Restful interface of the data lake vehicle state database.
In this embodiment, the in-transit commodity vehicle powered on abnormally can be effectively monitored according to the second vehicle condition information, and whether the in-transit commodity vehicle powered on abnormally has an illegal behavior can be further judged.
S140, early warning judgment is carried out on the commodity vehicle in transit based on the logistics information, the first vehicle condition information and the second vehicle condition information.
In this embodiment, after the commodity vehicle in transit is remotely controlled to be normally powered on at a certain time in the logistics transportation process, it can be further determined whether the commodity vehicle in transit normally powered on has an illegal behavior. Specifically, the method for determining whether the in-transit commercial vehicle powered on normally has an illegal behavior may be: and confirming whether the normally powered-on goods vehicle in transit is positioned on a specified route or not according to the position information included in the first vehicle condition information, and whether the distance between the normally powered-on goods vehicle in transit and other normally powered-on goods vehicles in transit is within a set threshold value or not, and if the certain goods vehicle in transit is determined to have violation, controlling forced flameout, locking and the like of the goods vehicle in transit through the T-BOX equipment.
In this embodiment, if an abnormally powered-on commodity vehicle is monitored in the logistics transportation process, it may be determined whether the abnormally powered-on commodity vehicle is running on a specified route and whether the distance between the abnormally powered-on commodity vehicle and the transportation vehicle is within a predetermined distance range according to the position of the abnormally powered-on commodity vehicle included in the acquired second vehicle condition information.
Further, the early warning judgment is carried out on the commodity vehicle in transit based on the logistics information, the first vehicle condition information and the second vehicle condition information, and the method comprises the following steps: determining the in-transit commodity vehicles which do not arrive in the store according to the information of the arriving store and the information of the in-transit commodity vehicles; judging whether the in-transit commodity vehicle in the short store is an abnormally powered in-transit commodity vehicle or a normally powered logistics in-transit commodity; and carrying out early warning judgment on the in-transit commodity vehicle based on the judgment result, the position of the transport vehicle, the first vehicle condition information and the second vehicle condition information.
The in-transit commodity vehicle information can be uploaded to the system, and then the in-transit commodity vehicle information can be uploaded to the system. And then determining the commodity vehicles in transit which do not arrive at the store based on the information of the commodity vehicles in transit which arrive at the store, and further judging that the commodity vehicles in transit which do not arrive at the store are normally electrified logistics commodity vehicles or normally electrified logistics commodity vehicles by taking the acquired vehicle condition information as the first vehicle condition information or the second vehicle condition information.
Specifically, after determining the commodity vehicles in transit in the short-term store, monitoring whether the second vehicle condition information is automatically acquired, if the at least one second vehicle condition information is automatically acquired, it is indicated that at least one abnormally powered commodity vehicle exists in the commodity vehicles in transit in the short-term store, and then further determining whether the abnormally powered commodity vehicle has an illegal behavior according to the second vehicle condition information, that is, performing early warning judgment on the abnormally powered commodity vehicle in transit in the short-term store.
Specifically, after the in-transit commodity vehicle which does not arrive at the store is determined, the in-transit commodity vehicle which does not arrive at the store is remotely controlled to be normally powered on and first vehicle condition information is acquired, and whether the in-transit commodity vehicle which is normally powered on has an illegal behavior or not is determined according to the first vehicle condition information, that is, the in-transit commodity vehicle which is normally powered on and does not arrive at the store is subjected to early warning judgment.
Further, the second vehicle condition information includes a first engine state, a driving speed and a position of the abnormally powered on commodity vehicle, and if the on commodity vehicle is the abnormally powered on commodity vehicle, the on commodity vehicle is subjected to early warning judgment based on the judgment result, the position of the transport vehicle and the second vehicle condition information, including; if the first engine state is an off state, prompting and early warning are carried out; if the engine state is a starting state, performing low-level early warning; if the running speed exceeds a set speed threshold value, performing intermediate-level early warning; and if the running speed exceeds a set speed threshold value and the distance between the position of the abnormally electrified commodity vehicle and the position of the transport vehicle is greater than a first set distance threshold value, performing advanced early warning.
The first engine is an engine of the goods-in-transit vehicle that is abnormally powered on and is not in the store, the running speed is the current running speed of the goods-in-transit vehicle that is abnormally powered on, and it should be noted that the second vehicle condition information may further include time information, and the time information is time corresponding to the time when the goods-in-transit vehicle that is abnormally powered on is at the current position.
The set speed threshold may be a speed value preset in the system, and for example, the set speed threshold may be 10 km/h; the first set distance threshold may be a distance value preset in the system, and for example, the first set distance threshold may be 50 meters.
The prompt early warning can be prompt in the system; the low-level early warning can prompt marketing personnel to inquire the vehicle condition information of the commodity vehicle in transit in the system to confirm the specific position of the commodity vehicle in transit; the intermediate early warning can be that intermediate early warning prompt information is sent out in the system and sent to a designated administrator; the advanced early warning can be implemented by sending advanced early warning prompt information in the system and sending an alarm instruction to appointed administrator equipment control equipment to send an alarm buzzing through an alarm module in the system, and after an appointed administrator hears the alarm buzzing and receives the advanced early warning prompt information, the advanced early warning can be remotely controlled by confirming vehicle condition information and logistics information.
Specifically, if the vehicle which does not arrive at the store is the goods vehicle in transit which is abnormally electrified, and the engine state of the goods vehicle in transit which is abnormally electrified is the off state, the vehicle is indicated to be abnormal, and prompt and early warning can be carried out; if the vehicle which does not arrive at the store is an in-transit commodity vehicle which is abnormally electrified and the engine state of the vehicle is a starting state, low-level early warning can be carried out; if the vehicle which does not arrive at the store is an in-transit commodity vehicle which is abnormally electrified, the engine state of the vehicle is a starting state, and the running speed exceeds a set speed threshold value, then middle-level early warning can be carried out; if the vehicle which does not arrive at the store is the goods vehicle in transit which is abnormally electrified, the engine state of the vehicle is the starting state, the running speed of the vehicle exceeds the set speed threshold value, and the distance between the position of the goods vehicle in transit which is abnormally electrified and the position of the transport vehicle at the same moment is larger than the first set threshold value, the advanced early warning is carried out.
Further, the first vehicle condition information includes the position and the second engine state of each goods vehicle in transit that is normally powered on, and if the determination result is that the goods vehicle in transit is a goods vehicle in transit that is normally powered on, the early warning determination is performed on the goods vehicle in transit based on the determination result, the transport vehicle position, and the first vehicle condition information, and the method includes: if the second engine state is the closed state, prompting and early warning are carried out; if the second engine state is an opening state, determining a first distance between every two goods vehicles in transit which are normally electrified according to the positions of the goods vehicles in transit which are normally electrified; determining the normally powered-on commodity vehicle on the way corresponding to the first distance exceeding a second set distance threshold value as an abnormal position commodity vehicle on the way; determining a second distance between the position of each goods vehicle in transit at the abnormal position and the position of the transport vehicle; determining the commodity vehicle on the way at the abnormal position corresponding to the second distance greater than the third set distance threshold value as the abnormal commodity vehicle on the way; and determining the early warning grade according to the second distance between the position of the abnormal in-transit commodity vehicle and the position of the transport vehicle.
The second engine is an engine of a commodity vehicle in transit which is normally powered on in a short store, and the first vehicle condition information may include a position of each commodity vehicle in transit which is normally powered on in a short store at the same time and an engine state of each commodity vehicle in transit which is normally powered on in a short store.
The first distance can be the distance between every two commodity vehicles in transit which are not in the store and are normally powered on at the same time; the second distance may be a distance between each in-transit commodity vehicle and the transport vehicle at the abnormal position at the same time; the second set distance threshold may be a distance value preset in the system; the third set distance threshold may be a distance value preset in the system. It should be noted that values of the first set distance threshold, the second set distance threshold, and the third set distance threshold may be set according to an actual situation, and are not limited herein.
Specifically, if the in-transit commodity vehicle which does not arrive at the store is the in-transit commodity vehicle which is normally powered on, and the engine state of the commodity vehicle is the off state, the system can prompt and early warn; if the in-transit commodity vehicle which does not arrive at the store is the in-transit commodity vehicle which is normally electrified, and the engine state of the commodity vehicle is in an open state, the distance between every two commodity vehicles can be calculated according to the position of the in-transit commodity vehicle which does not arrive at the store at the current moment and is normally electrified; determining at least two commodity vehicles corresponding to the distance exceeding a second set distance threshold value in the distances as commodity vehicles on the way at abnormal positions; calculating the distance between each abnormal position commodity vehicle in transit and the transport vehicle according to the position of each abnormal position commodity vehicle in transit and the position of the transport vehicle at the same time; determining at least one abnormal position commodity vehicle corresponding to the distance larger than the third set distance threshold value as an abnormal commodity vehicle on the way; and determining the early warning level according to the distance between the abnormal in-transit commodity vehicle and the transport vehicle at the same moment.
For example, the manner of determining the early warning level according to the second distance between the position of the abnormal in-transit commodity vehicle and the position of the transport vehicle may be: if the second distance is within the range of 5 meters to 50 meters, determining the early warning level as low-grade early warning; if the second distance is within the range of 50 meters to 100 meters, determining the early warning level as a medium early warning; and if the second distance is greater than 100 meters, determining the early warning level as high-grade early warning.
The embodiment of the invention provides a method for monitoring an in-transit commodity vehicle, which comprises the steps of firstly obtaining logistics information of the in-transit commodity vehicle in real time, wherein the logistics information comprises information of the in-transit commodity vehicle, the position of a transport vehicle and information of the in-transit commodity vehicle from a store; then remotely controlling the commodity vehicle in transit to be normally electrified within a set time, and acquiring first vehicle condition information of the commodity vehicle in transit which is normally electrified; then when the commodity vehicle in transit is monitored to have abnormal electrification behavior, second vehicle condition information of the commodity vehicle in transit which is electrified abnormally is obtained; the abnormal power-on behavior is automatic power-on at a time other than the set time; and finally, carrying out early warning judgment on the in-transit commodity vehicle based on the logistics information, the first vehicle condition information and the second vehicle condition information. By the aid of the method, the position of the in-transit commodity vehicle can be monitored after the in-transit commodity vehicle is normally powered on through remote control, and whether the in-transit commodity vehicle has illegal behaviors or not can be further judged according to the store arrival information and the vehicle condition information.
Example two
Fig. 2 is an exemplary flowchart of a method for monitoring an in-transit commercial vehicle according to the second embodiment of the present invention, and the second embodiment of the present invention provides a specific real-time manner of the method for monitoring an in-transit commercial vehicle according to the first embodiment of the present invention. As shown in fig. 2, a specific implementation flow of the monitoring method for the in-transit commercial vehicle provided by the second embodiment of the present invention is as follows:
acquiring logistics information which is updated to a marketing data system in real time by a logistics company, wherein the logistics information mainly comprises transport vehicle information, driver information, on-road commodity vehicle information, transport vehicle position information and time information; the method comprises the steps of acquiring commodity vehicle-to-store information uploaded to a system in transit in real time after logistics transportation to a store, wherein the store-to-store information mainly comprises commodity vehicle-in-transit information and store-to-store time, and information data can be acquired from a marketing data system in real time by calling a Restful interface.
After the real-time logistics information is acquired, vehicle data are acquired by calling a Restful interface of a data lake vehicle state database, an in-transit commodity vehicle which is abnormally electrified can be detected according to the vehicle data, second vehicle condition information is acquired, the in-transit vehicle is remotely awakened through a vehicle end front-mounted T-BOX device within set time, the vehicle is remotely controlled to be normally electrified, and first vehicle condition information is acquired; whether the commodity vehicle on the way deviates from the set running route in the logistics transportation process can be determined according to the first vehicle condition information and the second vehicle condition information, if the commodity vehicle on the way deviates from the set running route and the distance between the commodity vehicle on the way and other commodity vehicles on the way transported in the same batch exceeds a threshold value is determined, the vehicle can be controlled to be forcibly flamed out, locked and the like through the T-BOX device, the commodity vehicle on the way with serious abnormal conditions can be remotely controlled under the condition of relative safety after manual judgment, and property loss is avoided.
The commodity car information on the way that will acquire in real time and second vehicle condition information and logistics information matches, when detecting commodity car information on the way and upload, need match with commodity circulation to shop information, determine the commodity car on the way that has not arrived the shop, carry out the early warning of different grades according to particular case again, main early warning logic is: if the commodity vehicle in transit is detected to be normally powered on or abnormally powered on and the engine is detected to be in a closed state in the vehicle condition information, prompting can be carried out in the logistics supervision system, if the commodity vehicle in transit with abnormal power on is detected and the engine of the commodity vehicle in transit with abnormal power on is detected to be started, low-level early warning is promoted, if the vehicle speed of the commodity vehicle in transit with abnormal power on is further detected to exceed a threshold value, medium-level early warning is carried out, and if the distance between the commodity vehicle in transit with abnormal power on and a transport vehicle is subsequently detected to exceed a distance threshold value, high-level early warning is carried out.
The early warning judgment of the goods vehicles in transit which are normally electrified mainly comprises the steps of calculating the distance between every two goods vehicles in transit, if vehicles with the distance exceeding a preset distance threshold exist, further calculating the distance between the vehicles and the transport vehicle, identifying the goods vehicles in transit with the distance exceeding the threshold, simultaneously acquiring the arrival information of the goods vehicles in transit in real time, if the arrival information of the vehicles is not detected, judging that the vehicles at the moment belong to an abnormal transfer state, and carrying out early warning of different levels according to the distance between the vehicles and the transport vehicle.
The monitoring method for the commodity vehicle in transit provided by the embodiment of the invention can wake up and power up the commodity vehicle in transit by the vehicle-mounted front T-BOX device, thereby achieving the effect of monitoring the vehicle condition information of the commodity vehicle in transit. In addition, vehicle data can be uploaded to a data lake through a TSP platform by the vehicle-mounted intelligent terminal, and vehicle condition information can be directly acquired through an interface calling mode after the data is cached by Redis.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a monitoring device for an in-transit commercial vehicle according to a third embodiment of the present invention, which can be applied to monitoring a commercial vehicle in a logistics transit, wherein the device can be implemented by software and/or hardware and is generally integrated on a monitoring system of the in-transit commercial vehicle.
As shown in fig. 3, the apparatus includes: an acquisition module 310, a control module 320, a monitoring module 330, and a determination module 340.
The acquisition module 310 is configured to acquire logistics information of the in-transit commodity vehicle in real time, where the logistics information includes information of the in-transit commodity vehicle, a location of a transport vehicle, and information of the in-transit commodity vehicle arriving at a store;
the control module 320 is used for remotely controlling the commodity vehicle in transit to be normally powered on within a set time, and then acquiring first vehicle condition information of the normally powered commodity vehicle in transit;
the monitoring module 330 is configured to, when it is monitored that the in-transit commercial vehicle has an abnormal power-on behavior, obtain second vehicle condition information of the in-transit commercial vehicle which is powered on abnormally; the abnormal power-on behavior is automatic power-on at a time other than the set time;
a judging module 340, configured to perform an early warning judgment on the in-transit commercial vehicle based on the logistics information, the first vehicle condition information, and the second vehicle condition information
In the embodiment, the device firstly obtains the logistics information of the goods vehicle in transit in real time through the obtaining module 310, wherein the logistics information comprises the goods vehicle in transit information, the position of the transport vehicle and the goods vehicle in transit to store information; then, the control module 320 remotely controls the commodity vehicle in transit to be normally electrified within a set time, and then first vehicle condition information of the normally electrified commodity vehicle in transit is acquired; then, when the monitoring module 330 monitors that the goods vehicle in transit has abnormal power-on behavior, second vehicle condition information of the goods vehicle in transit which is powered on abnormally is obtained; the abnormal power-on behavior is automatic power-on at a time other than the set time; and finally, performing early warning judgment on the in-transit commodity vehicle through a judgment module 340 based on the logistics information, the first vehicle condition information and the second vehicle condition information.
The embodiment provides a monitoring device of commodity car in transit, can effectively monitor the positional information of vehicle in transit to can monitor and early warning the violation that vehicle in transit exists.
Further, the determining module 340 is further configured to: determining the in-transit commodity vehicles which do not arrive in the store according to the information of the arriving store and the information of the in-transit commodity vehicles; judging whether the in-transit commodity vehicle in the short store is an abnormally powered in-transit commodity vehicle or a normally powered logistics in-transit commodity; and carrying out early warning judgment on the in-transit commodity vehicle based on the judgment result, the position of the transport vehicle, the first vehicle condition information and the second vehicle condition information.
Further, the second vehicle condition information includes a first engine state, a driving speed and a position of the abnormally powered on commodity vehicle, and if the on commodity vehicle is the abnormally powered on commodity vehicle, the on commodity vehicle is subjected to early warning judgment based on the judgment result, the position of the transport vehicle and the second vehicle condition information, including; if the first engine state is an off state, prompting and early warning are carried out; if the engine state is a starting state, performing low-level early warning; if the running speed exceeds a set speed threshold value, performing intermediate-level early warning; and if the running speed exceeds a set speed threshold value and the distance between the position of the abnormally electrified commodity vehicle and the position of the transport vehicle is greater than a first set distance threshold value, performing advanced early warning.
Further, the first vehicle condition information includes the position and the second engine state of each goods vehicle in transit that is normally powered on, and if the determination result is that the goods vehicle in transit is a goods vehicle in transit that is normally powered on, the early warning determination is performed on the goods vehicle in transit based on the determination result, the transport vehicle position, and the first vehicle condition information, and the method includes: if the second engine state is the closed state, prompting and early warning are carried out; if the second engine state is an opening state, determining a first distance between every two goods vehicles in transit which are normally electrified according to the positions of the goods vehicles in transit which are normally electrified; determining the normally powered-on commodity vehicle on the way corresponding to the first distance exceeding a second set distance threshold value as an abnormal position commodity vehicle on the way; determining a second distance between the position of each goods vehicle in transit at the abnormal position and the position of the transport vehicle; determining the commodity vehicle on the way at the abnormal position corresponding to the second distance greater than the third set distance threshold value as the abnormal commodity vehicle on the way; and determining the early warning grade according to the second distance between the position of the abnormal in-transit commodity vehicle and the position of the transport vehicle.
Furthermore, the device remotely controls the commodity vehicle in transit to be normally powered on through a wireless gateway T-BOX device arranged in front of the vehicle end.
Further, the first vehicle condition information and the second vehicle condition information are obtained by calling a Restful interface of a data lake vehicle condition database.
The monitoring device of the in-transit commodity vehicle can execute the monitoring method of the in-transit commodity vehicle provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 4 is a schematic structural diagram of a monitoring system for an in-transit commercial vehicle according to a fourth embodiment of the present invention, as shown in fig. 4, the system includes an early warning module 410 and a data docking module 420, and the early warning module 410 is connected to the data docking module 420;
the data docking module 410 is used for realizing data docking of the logistics supervision system background, the marketing system and the internet of vehicles data background, and acquiring logistics information and vehicle condition information of the commodity vehicles in transit in real time; the early warning module 420 is configured to perform early warning judgment on the in-transit commodity vehicle according to the vehicle condition information of the in-transit commodity vehicle and the logistics information of the in-transit commodity vehicle.
After the vehicle condition information is uploaded to the TSP platform through the vehicle-mounted intelligent terminal, data entering the lake needs to be completed through log collection, real-time data processing technology and the like, then data analysis, data cleaning, data processing and the like are performed, a vehicle state database is established in a Redis cache mode, latest uploaded vehicle condition data of the commodity vehicles in transit are reserved, Restful interface development work is completed finally, and the vehicle condition information is acquired in the system in an interface calling mode.
Further, the early warning module 420 is specifically configured to monitor vehicle condition information of the in-transit commodity vehicle during the logistics transportation, determine the position of the in-transit commodity vehicle, and perform early warning according to the distance between every two in-transit commodity vehicles.
Further, the early warning module 420 is further configured to determine an in-transit commodity vehicle that is not in the store according to the information of the in-transit commodity vehicle and the information of the in-transit commodity vehicle; judging whether the in-transit commodity vehicle which does not arrive at the store is an abnormally electrified in-transit commodity vehicle or a normally electrified logistics in-transit commodity; and carrying out early warning judgment on the in-transit commodity vehicle based on the judgment result, the position of the transport vehicle, the first vehicle condition information and the second vehicle condition information.
In this embodiment, after determining the commodity vehicles in transit in the short-term store, monitoring whether the second vehicle condition information is automatically acquired, and if the at least one second vehicle condition information is automatically acquired, it is indicated that at least one abnormally powered commodity vehicle exists in the commodity vehicles in transit in the short-term store, and then determining whether the abnormally powered commodity vehicle has an illegal behavior according to the second vehicle condition information, that is, performing early warning judgment on the abnormally powered commodity vehicle in transit in the short-term store.
Specifically, the second vehicle condition information includes the state of the first engine, the running speed and the position of the abnormally powered on commodity vehicle, and if the on commodity vehicle is the abnormally powered on commodity vehicle, the on commodity vehicle is subjected to early warning judgment based on the judgment result, the position of the transport vehicle and the second vehicle condition information, wherein the early warning judgment comprises the steps of; if the first engine state is the closing state, prompting and early warning are carried out; if the engine state is a starting state, performing low-level early warning; if the running speed exceeds a set speed threshold value, performing intermediate-level early warning; and if the running speed exceeds a set speed threshold value and the distance between the position of the abnormally electrified commodity vehicle and the position of the transport vehicle is greater than a first set distance threshold value, performing advanced early warning.
In this embodiment, after determining the commodity vehicle in transit which has not arrived at the store, the commodity vehicle in transit which has not arrived at the store is remotely controlled to be normally powered on and acquire the first vehicle condition information, and whether the normal powered-on commodity vehicle in transit has an illegal behavior or not is determined according to the first vehicle condition information, that is, the early warning judgment is performed on the commodity vehicle in transit which has not arrived at the store and is normally powered on.
Specifically, the first vehicle condition information includes the position and the second engine state of each goods vehicle in transit that normally powers on, and the judgement result is that goods vehicle in transit is the goods vehicle in transit that normally powers on, then carries out the early warning judgement based on judgement result, transport vechicle position, first vehicle condition information to goods vehicle in transit, include: if the second engine state is the closed state, prompting and early warning are carried out; if the second engine state is an opening state, determining a first distance between every two normally electrified goods vehicles in transit according to the positions of the normally electrified goods vehicles in transit; determining the normally powered-on commodity vehicle on the way corresponding to the first distance exceeding the second set distance threshold value as the commodity vehicle on the way at the abnormal position; determining a second distance between the location of each anomaly location commodity vehicle in transit and the transporter location; determining the commodity vehicle on the way at the abnormal position corresponding to the second distance greater than the third set distance threshold value as the abnormal commodity vehicle on the way; and determining the early warning grade according to the second distance between the position of the abnormal in-transit commodity vehicle and the position of the transport vehicle.
The monitoring system for the commodity vehicles on the way, provided by the fourth embodiment of the invention, is firstly used for realizing data docking of the logistics supervision system background, the marketing system and the internet of vehicles data background through the data docking module 410, acquiring logistics information and vehicle condition information of the commodity vehicles on the way in real time, and then used for carrying out early warning judgment on the commodity vehicles on the way through the early warning module 420 according to the vehicle condition information of the commodity vehicles on the way and the logistics information of the commodity vehicles on the way. The monitoring system of the in-transit commodity vehicle can effectively monitor the position information of the in-transit vehicle and can monitor and early warn the violation of the in-transit vehicle.
EXAMPLE five
Fig. 5 is a schematic structural diagram of a monitoring system for an in-transit commercial vehicle according to a fifth embodiment of the present invention, and as shown in fig. 5, the system includes: the system comprises a data docking module 510, an early warning module 520, a logistics management service module 530 and an alarm module 540, wherein the early warning module 520 is respectively connected with the data docking module 510, the logistics management service module 530 and the alarm module 540;
the logistics management service module 530 is configured to generate evaluation data of a logistics company based on the early warning data obtained by the early warning judgment; the alarm module 540 is configured to alarm according to the early warning data obtained by the early warning determination.
Further, the logistics management service module 530 is specifically configured to count the whole logistics transportation and abnormal conditions of the dealer based on the early warning data obtained by the early warning judgment, sort the logistics companies based on the statistical results, and perform comprehensive evaluation on the logistics companies.
Further, the alarm module 540 is specifically configured to send an alarm instruction to the designated administrator device control device to send an alarm buzzer if the early warning data obtained after the early warning judgment is a high-level early warning, and when the designated administrator hears the alarm buzzer and receives the high-level early warning prompt information, the designated administrator can remotely control the in-transit commodity vehicle performing the high-level early warning by confirming vehicle condition information and logistics information.
EXAMPLE six
An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, the program, when executed by a processor, is configured to perform a method for monitoring a commercial vehicle in transit, the method including:
acquiring logistics information of the in-transit commodity vehicle in real time, wherein the logistics information comprises in-transit commodity vehicle information, transport vehicle positions and in-transit commodity vehicle to store information;
after the commodity vehicle in transit is remotely controlled to be normally electrified within a set time, first vehicle condition information of the commodity vehicle in transit which is normally electrified is obtained;
when the commodity vehicle in transit is monitored to have abnormal power-on behavior, second vehicle condition information of the commodity vehicle in transit which is abnormally powered on is obtained; the abnormal power-on behavior is automatic power-on at a time other than the set time;
and carrying out early warning judgment on the in-transit commodity vehicle based on the logistics information, the first vehicle condition information and the second vehicle condition information.
Optionally, the program, when executed by the processor, may be further configured to perform a method for monitoring a commercial vehicle in transit according to any of the embodiments of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read Only Memory (ROM), an Erasable Programmable Read Only Memory (EPROM), a flash Memory, an optical fiber, a portable CD-ROM, an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. A computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take a variety of forms, including, but not limited to: an electromagnetic signal, an optical signal, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for monitoring an in-transit commodity vehicle, comprising:
acquiring logistics information of the in-transit commodity vehicle in real time, wherein the logistics information comprises in-transit commodity vehicle information, transport vehicle positions and in-transit commodity vehicle to store information;
after the commodity vehicle in transit is remotely controlled to be normally electrified within a set time, first vehicle condition information of the commodity vehicle in transit which is normally electrified is obtained;
when the commodity vehicle in transit is monitored to have abnormal power-on behavior, second vehicle condition information of the commodity vehicle in transit which is abnormally powered on is obtained; the abnormal power-on behavior is automatic power-on at a time other than the set time;
and carrying out early warning judgment on the in-transit commodity vehicle based on the logistics information, the first vehicle condition information and the second vehicle condition information.
2. The method of claim 1, wherein performing an early warning determination for the in-transit commodity vehicle based on the logistics information, first vehicle condition information, and second vehicle condition information comprises:
determining the in-transit commodity vehicles which do not arrive in the store according to the information of the arriving store and the information of the in-transit commodity vehicles;
judging whether the in-transit commodity vehicle in the short store is an abnormally powered in-transit commodity vehicle or a normally powered logistics in-transit commodity;
and carrying out early warning judgment on the in-transit commodity vehicle based on the judgment result, the position of the transport vehicle, the first vehicle condition information and the second vehicle condition information.
3. The method of claim 2, wherein the second vehicle condition information comprises a first engine state, a driving speed and a position of the goods vehicle in transit which is abnormally powered on, and if the goods vehicle in transit is the goods vehicle in transit which is abnormally powered on, the goods vehicle in transit is subjected to early warning judgment based on the judgment result, the position of the transport vehicle and the second vehicle condition information, and the method comprises the following steps of;
if the first engine state is an off state, prompting and early warning are carried out;
if the engine state is a starting state, performing low-level early warning;
if the running speed exceeds a set speed threshold value, performing intermediate-level early warning;
and if the running speed exceeds a set speed threshold value and the distance between the position of the abnormally electrified commodity vehicle and the position of the transport vehicle is greater than a first set distance threshold value, performing advanced early warning.
4. The method of claim 2, wherein the first vehicle condition information comprises a position of each goods vehicle in transit that is normally powered on and a second engine state, and if the goods vehicle in transit is a goods vehicle in transit that is normally powered on as a result of the determination, the performing the early warning determination on the goods vehicle in transit based on the result of the determination, the position of the transportation vehicle, and the first vehicle condition information comprises:
if the second engine state is the closed state, prompting and early warning are carried out;
if the second engine state is an opening state, determining a first distance between every two goods vehicles in transit which are normally electrified according to the positions of the goods vehicles in transit which are normally electrified;
determining the normally powered-on commodity vehicle on the way corresponding to the first distance exceeding a second set distance threshold value as an abnormal position commodity vehicle on the way;
determining a second distance between the position of each goods vehicle in transit at the abnormal position and the position of the transport vehicle;
determining the commodity vehicle on the way at the abnormal position corresponding to the second distance greater than the third set distance threshold value as the abnormal commodity vehicle on the way;
and determining the early warning grade according to the second distance between the position of the abnormal in-transit commodity vehicle and the position of the transport vehicle.
5. The method as claimed in claim 1, wherein the commodity vehicle in transit is powered up remotely by means of a vehicle-end front-mounted wireless gateway T-BOX device.
6. The method of claim 1, wherein the first and second vehicle condition information are obtained by calling a Restful interface of a data lake vehicle condition database.
7. A monitoring device for in-transit merchandisers, comprising:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring logistics information of the commodity vehicles in transit in real time, and the logistics information comprises the commodity vehicle in transit information, the position of a transport vehicle and the information of the commodity vehicles in transit from a store;
the control module is used for remotely controlling the commodity vehicle in transit to be normally electrified within set time and then acquiring first vehicle condition information of the normally electrified commodity vehicle in transit;
the monitoring module is used for acquiring second vehicle condition information of the commodity vehicle which is abnormally electrified when the commodity vehicle in transit is monitored to have abnormal electrification behavior; the abnormal power-on behavior is automatic power-on at a time other than the set time;
and the judgment module is used for carrying out early warning judgment on the in-transit commodity vehicle based on the logistics information, the first vehicle condition information and the second vehicle condition information.
8. A monitoring system for in-transit merchandisers, comprising: the system comprises an early warning module and a data docking module; the early warning module is connected with the data docking module;
the data docking module is used for realizing data docking of the logistics supervision system background, the marketing system and the Internet of vehicles data background and acquiring logistics information and vehicle condition information of the commodity vehicles in transit in real time;
the early warning module is used for carrying out early warning judgment on the commodity vehicles in transit according to the vehicle condition information of the commodity vehicles in transit and the logistics information of the commodity vehicles in transit.
9. The system of claim 8, further comprising: the system comprises a logistics management service module and an alarm module, wherein the logistics management module and the alarm module are respectively connected with the early warning module;
the logistics management service module is used for generating logistics company evaluation data based on the early warning data obtained by the early warning judgment;
and the alarm module is used for alarming according to the early warning data obtained by the early warning judgment.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a method of monitoring a commercial vehicle in transit as claimed in any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115002152A (en) * | 2022-05-16 | 2022-09-02 | 中国第一汽车股份有限公司 | Commodity vehicle in-transit transportation monitoring method based on vehicle remote control function |
| CN115567775A (en) * | 2022-11-24 | 2023-01-03 | 北京步甲科技有限公司 | Commodity car monitored control system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101320442A (en) * | 2007-06-05 | 2008-12-10 | 上海博拉软件有限公司 | Method for implementing real-time cargo tracing and monitoring based on logistics management platform |
| CN106204402A (en) * | 2016-09-23 | 2016-12-07 | 浙江万里学院 | Physical state method for real-time monitoring based on cloud platform |
| CN109711768A (en) * | 2018-12-04 | 2019-05-03 | 国能新能源汽车有限责任公司 | The automobile-used stream tube control system of commodity, method and information data processing terminal |
| CN112668971A (en) * | 2020-12-30 | 2021-04-16 | 车主邦（北京）科技有限公司 | Transportation early warning information processing method and device |
-
2021
- 2021-04-28 CN CN202110469590.2A patent/CN113095763B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101320442A (en) * | 2007-06-05 | 2008-12-10 | 上海博拉软件有限公司 | Method for implementing real-time cargo tracing and monitoring based on logistics management platform |
| CN106204402A (en) * | 2016-09-23 | 2016-12-07 | 浙江万里学院 | Physical state method for real-time monitoring based on cloud platform |
| CN109711768A (en) * | 2018-12-04 | 2019-05-03 | 国能新能源汽车有限责任公司 | The automobile-used stream tube control system of commodity, method and information data processing terminal |
| CN112668971A (en) * | 2020-12-30 | 2021-04-16 | 车主邦（北京）科技有限公司 | Transportation early warning information processing method and device |
Non-Patent Citations (3)
| Title |
|---|
| MAXIMILIAN SCHIFFER等: ""Integrated planning for electric commercial vehicle fleets: A case study for retail mid-haul logistics networks"", 《EUROPEAN JOURNAL OF OPERATIONAL RESEARCH》 * |
| 向先文 等: ""基于全过程可视化建设的汽车物流优化研究"", 《物流技术与应用》 * |
| 田帅辉 等: ""基于GPS的汽车物流全程可视化***设计与实现"", 《现代科学仪器》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115002152A (en) * | 2022-05-16 | 2022-09-02 | 中国第一汽车股份有限公司 | Commodity vehicle in-transit transportation monitoring method based on vehicle remote control function |
| CN115567775A (en) * | 2022-11-24 | 2023-01-03 | 北京步甲科技有限公司 | Commodity car monitored control system |
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