CN116109224A

CN116109224A - Online accompanying method, equipment and storage medium based on logistics wind control platform

Info

Publication number: CN116109224A
Application number: CN202310388966.6A
Authority: CN
Inventors: 甘俊奇
Original assignee: Fujian Zhijian Zhiyi Information Technology Co ltd
Current assignee: Fujian Zhijian Zhiyi Information Technology Co ltd
Priority date: 2023-04-13
Filing date: 2023-04-13
Publication date: 2023-05-12
Anticipated expiration: 2043-04-13
Also published as: CN116109224B; CN116562745A

Abstract

The application relates to the technical field of logistics management and provides an online accompanying method, equipment and a storage medium based on a logistics wind control platform. An online accompanying method, comprising: dynamically maintaining online accompanying task information in a first page; responding to a processing request of the online accompanying task, and displaying real-time state data of the target vehicle and dangerous driving behaviors to be corrected in a second page; providing a real-time notification content submission dialog on a third page in response to the real-time notification request for the target vehicle; and responding to the notification submitting request, and issuing a real-time notification instruction to the target vehicle-mounted equipment, so that the target vehicle-mounted equipment outputs real-time notification content to a driver. The method can help to solve the problem of poor dangerous driving warning effect, and can respond to the notification submitting request submitted by the staff through the third page to issue a real-time notification instruction to the target vehicle-mounted equipment of the target vehicle, so that the vehicle can be remotely and online attended, and the dangerous driving warning effect can be improved.

Description

Online accompanying method, equipment and storage medium based on logistics wind control platform

Technical Field

The application relates to the technical field of logistics management, in particular to an online accompanying method, equipment and storage medium based on a logistics wind control platform.

Background

With the continuous development of information technology, the traditional logistics industry gradually realizes intellectualization, and a plurality of intelligent devices are introduced into the process of logistics management.

In the related art, by installing a driving support device, a driver state monitoring device, and the like on a freight vehicle, dangerous driving warning can be given to a driver during running of the vehicle.

However, during the running of the vehicle, the driver may intentionally or unintentionally ignore the warning information automatically output by the in-vehicle apparatus, which may cause a problem that the dangerous driving warning effect of the in-vehicle apparatus is not good.

Disclosure of Invention

In order to help to solve the problem of poor automatic dangerous driving warning effect of vehicle-mounted equipment, the application provides an online accompanying method, equipment and storage medium based on a logistics wind control platform.

In a first aspect, an online accompanying method based on a logistics wind control platform is provided, which is used in the logistics wind control platform, and adopts the following technical scheme:

an online accompanying method based on a logistics wind control platform is used in the logistics wind control platform, and the method comprises the following steps:

Dynamically maintaining online accompanying task information in a first page, wherein the online accompanying task information is used for indicating an online accompanying task to be processed;

responding to the processing request of the online accompanying task, displaying real-time state data of a target vehicle and dangerous driving behaviors to be corrected in a second page, wherein the target vehicle is an on-road vehicle pointed by the online accompanying task;

providing a real-time notification content submission dialog on a third page in response to a real-time notification request for the target vehicle;

and responding to the notification submitting request, selecting at least one target vehicle-mounted device on the target vehicle, and issuing a real-time notification instruction to the target vehicle-mounted device so that the target vehicle-mounted device outputs the real-time notification content to a driver.

By adopting the technical scheme, the logistics wind control platform displays the on-line accompanying task information of dynamic maintenance on the first page, so that a worker can acquire the current on-line accompanying task to be processed, and when the worker acquires one of the on-line accompanying tasks, the real-time state data of the target vehicle corresponding to the task and the dangerous driving behavior to be corrected are displayed through the second page, so that the worker can acquire the specific situation of the target vehicle, and can conveniently make relevant accompanying measures, for example, when the worker judges that the dangerous driving behavior still exists at present based on the real-time state data, the worker can select to remind the driver on the target vehicle in real time, or judge that the dangerous driving behavior is corrected by oneself at present, and then the accompanying can be directly ended. When a worker requests to send real-time notification to a target vehicle, the platform can display a third page to the worker, respond to the notification submission request submitted by the worker through the third page, and issue a real-time notification instruction to target vehicle-mounted equipment of the target vehicle to instruct the target vehicle-mounted equipment to output real-time notification content to a driver, so that the vehicle with dangerous driving risk can be subjected to remote on-line accompanying and nursing, the dangerous warning effect to the driver can be enhanced, behavior correction conditions can be obtained in real time, the worker can conveniently adjust notification modes or contents in time, and accompanying and nursing efficiency is improved.

Optionally, after the processing request responding to the online accompanying task, the method further includes:

responding to the accompany ending request, and collecting a first accompany result through a fourth page;

and generating a accompany report based on the first accompany result and the accompany process information.

By adopting the technical scheme, as the first accompanying result is collected through the fourth page in response to the accompanying ending request, and the accompanying report is generated based on the first accompanying result and the accompanying process information, the on-line accompanying process can be conveniently analyzed and summarized based on the accompanying report, and the on-line accompanying process can be optimized.

Optionally, the generating a accompany report based on the first accompany result and the accompany process information includes:

analyzing the information of the accompanying process to obtain a second accompanying result;

comparing the second accompanying result with the first accompanying result to obtain a comparison result, wherein the comparison result comprises evaluation information for indicating whether the first accompanying result is real or not;

and recording the comparison result in the accompanying report.

By adopting the technical scheme, in order to verify the authenticity of the first accompany result which is manually input, the platform directly analyzes and determines the second accompany result based on the accompany process information, and verifies the authenticity of the first accompany result based on the second accompany result, so that the online accompany work of the staff based on the content of the accompany report can be conveniently evaluated, and the management of the staff can be facilitated.

Optionally, the method further comprises:

responding to dangerous prompt information reported by vehicle-mounted equipment of a vehicle in transit, and determining whether to accompany the vehicle in transit;

and under the condition that the on-road vehicle is determined to be attended, displaying an on-line accompanying task corresponding to the on-road vehicle in the first page.

According to the technical scheme, the platform determines whether to accompany the on-road vehicles or not based on the dangerous prompt information reported by the vehicle-mounted equipment, and the to-be-attended vehicles with driving risks can be rapidly positioned from all the on-road vehicles.

Optionally, the determining whether to accompany the on-road vehicle includes:

acquiring target state data used by the vehicle-mounted equipment when determining the danger prompt information and related state data acquired by other vehicle-mounted equipment on the on-road vehicle in the same time period;

analyzing whether dangerous driving behaviors exist in the on-road vehicle based on the target state data, and verifying analysis results based on the related state data to determine whether dangerous driving behaviors exist in the on-road vehicle;

and based on the dangerous driving behavior, determining to accompany the on-road vehicle, and determining the dangerous driving behavior as the dangerous driving behavior to be corrected.

According to the technical scheme, the platform re-analyzes whether dangerous driving behaviors exist in the on-road vehicle or not based on the target state data, so that corresponding analysis results are obtained, and the analysis results are verified based on the relevant state data, so that whether dangerous driving behaviors exist in the on-road vehicle or not and specific behavior types are finally determined by means of stronger computing capacity and wider data base of the platform, and accuracy of the analysis results can be guaranteed. Thus, erroneous judgment due to failure of the in-vehicle apparatus can be avoided.

Optionally, the determining whether to accompany the on-road vehicle includes:

determining a hazard value of the in-transit vehicle based on the hazard prompt information;

determining whether the on-road vehicle meets a preset accompanying condition or not based on the dangerous value of the on-road vehicle;

and under the condition that the on-road vehicle meets the preset accompanying conditions, the on-road vehicle is determined to be accompanied, and the dangerous driving behavior indicated by the dangerous prompt information is determined to be the dangerous driving behavior to be corrected.

By adopting the technical scheme, the dangerous value of the on-road vehicle can be determined, and the on-road vehicle is determined to be the target vehicle under the condition that the dangerous value of the on-road vehicle meets the accompanying condition, so that the target vehicle can be determined based on the dangerous degree of the vehicle, and the accuracy of the determined target vehicle can be improved.

Optionally, the determining the hazard value of the in-transit vehicle based on the hazard prompt information includes:

determining an adjustment amplitude based on the weights of the dangerous driving behaviors and the weights corresponding to the vehicles in transit;

and updating the danger value of the in-transit vehicle based on the adjustment amplitude.

By adopting the technical scheme, the adjustment amplitude is determined based on the weight of dangerous driving behaviors and the weight corresponding to the on-road vehicle, and the dangerous value of the on-road vehicle is updated based on the adjustment amplitude, so that the determined dangerous value is matched with the real situation of the on-road vehicle, and the accuracy of the determined target vehicle can be improved.

Optionally, the determining whether the on-road vehicle meets a preset accompanying condition based on the risk value of the on-road vehicle includes:

sequencing all vehicles in transit in the logistics wind control platform according to the sequence of the dangerous values from big to small;

determining whether the rank of the in-transit vehicle is less than or equal to a preset ranking threshold;

and under the condition that the ranking of the in-transit vehicle is smaller than or equal to the preset ranking threshold value, determining that the in-transit vehicle meets the preset accompanying condition.

Through adopting above-mentioned technical scheme, can order according to the dangerous value to all vehicles in transit in the commodity circulation wind control platform based on the dangerous value to under the circumstances that the ordering of vehicles in transit is less than or equal to ranking threshold value, confirm that vehicles in transit satisfy the condition of accompanying in advance, so can be according to the accurate distribution on-line resource of accompanying and attending to of dangerous degree, thereby can improve the effect of accompanying and attending to on line.

In a second aspect, an electronic device is provided, which adopts the following technical scheme:

an electronic device, the electronic device comprising:

at least one processor;

a memory;

at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: executing any one of the online accompanying methods based on the logistics wind control platform provided in the first aspect.

In a third aspect, a computer readable storage medium is provided, and the following technical solutions are adopted:

a computer readable storage medium having a computer program stored thereon, which when executed in a computer causes the computer to perform any of the logistic wind control platform-based online accompanying methods provided in the first aspect.

In summary, the present application includes at least one of the following beneficial technical effects:

1. the automatic dangerous driving warning device can help to solve the problem that the automatic dangerous driving warning effect of the vehicle-mounted equipment is poor, and can assist a driver to correct driving behaviors as soon as possible by combining manual on-line accompanying.

2. The platform analyzes and verifies whether dangerous driving behaviors exist in the on-road vehicle again based on the target state data and the related state data to finally determine whether dangerous driving behaviors exist in the on-road vehicle and the specific behavior types, so that accuracy of analysis results can be ensured, and effectiveness of accompanying tasks is ensured.

Drawings

Fig. 1 is a schematic structural diagram of an online accompanying system according to an embodiment of the present application;

fig. 2 is a flowchart of an online accompanying method provided in an embodiment of the present application;

fig. 3 is a flowchart of a method for generating a career report according to an embodiment of the present application;

FIG. 4 is a flowchart of a method for determining a target vehicle according to an embodiment of the present application;

FIG. 5 is a flow chart of another method of determining a target vehicle provided by an embodiment of the present application;

FIG. 6 is a flow chart of yet another target vehicle determination method provided by an embodiment of the present application;

fig. 7 is a flowchart of an online accompanying task allocation method provided in an embodiment of the present application;

fig. 8 is a flowchart of an information reporting method provided in an embodiment of the present application;

fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to fig. 1 to 9 and the embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

An embodiment of the present application provides an online accompanying system, referring to fig. 1, the online accompanying system includes a vehicle-mounted device 110 and a server 120. The in-vehicle device 110 is communicatively connected to the server 120.

The in-vehicle device 110 is mounted on a freight vehicle for collecting vehicle state data of the vehicle. Specifically, the in-vehicle apparatus 110 includes an apparatus having a terminal autonomous analysis function, such as: adas (Advanced Driving Assistance System ) cameras, DMS (Driver Monitor System, driver monitoring system) cameras, etc., also include: devices having only data acquisition functions, such as: the Beidou positioning assembly, the oil consumption sensor, the load sensor and other devices are not limited to the type of the vehicle-mounted device.

In this embodiment, at least two vehicle-mounted devices 110 have an information broadcasting function, and may broadcast information autonomously or in response to an instruction of the server 120.

Optionally, the vehicle-mounted device 110 with the information broadcasting function includes a first vehicle-mounted device and a second vehicle-mounted device, where when the platform server 120 detects that the information broadcasting of the first vehicle-mounted device is turned off, the information broadcasting function of the second vehicle-mounted device is controlled to be unable to be turned off, so that the use experience of the driver is improved, and meanwhile, the driver can be ensured to receive the information broadcasted through the second vehicle-mounted device.

Referring to fig. 2, the online accompanying method based on the logistics wind control platform comprises the following steps:

Step 201, dynamically maintaining online accompanying task information in a first page.

The first page is used for displaying on-line accompanying task information in dynamic maintenance of the logistics wind control platform in real time.

The online accompanying task information comprises at least one online accompanying task to be processed, and specific display content can comprise identification information corresponding to the online accompanying task, including but not limited to license plate numbers, danger levels and the like. The online accompanying tasks are ranked according to the risk level, wherein the higher the risk level is, the higher the ranking is.

Optionally, dynamically maintaining the online accompanying task information in the first page includes: after a target vehicle to be attended is determined, generating a corresponding online accompanying task, and displaying the corresponding online accompanying task in a first page in sequence; in the event that the online companion task is picked up, the online companion task is removed from the first page.

The target vehicle refers to an on-road vehicle pointed by an on-line accompanying task, and the on-road vehicle refers to a vehicle in transit and comprises a vehicle currently executing a logistics waybill.

The target vehicle is determined based on danger prompt information actively reported by vehicle-mounted equipment installed on each on-road vehicle.

The danger prompt information is: the warning information corresponding to the dangerous driving behavior comprises the type of the dangerous driving behavior and the occurrence time. Specifically, dangerous driving behavior includes: overspeed, track deviation, lane deviation, fatigue driving, double-hand separation from steering wheel, too small a vehicle distance, forward collision and other behaviors which may influence driving safety, the embodiment does not limit the types of dangerous driving behaviors.

For example, the Adas camera can analyze and judge whether dangerous driving behaviors exist based on real-time data collected by the Adas camera, when dangerous driving behaviors exist, such as too close distance between vehicles, the Adas camera can not only actively send a voice prompt for paying attention to the driver, but also report dangerous prompt information indicating overspeed of the vehicle to the logistics wind control platform, and further, the Adas camera can synchronize target state data to the logistics wind control platform, wherein the target state data are collected data used by the Adas camera when determining the dangerous prompt information.

In one example, dynamically maintaining online companion task information in the first page further comprises: and responding to the dangerous prompt information sent by the vehicle-mounted equipment of the target vehicle, and updating information corresponding to the online accompanying task based on the dangerous prompt information. It can be understood that the driving state of the on-road vehicle is likely to change at any time, that is, the vehicle-mounted equipment on the target vehicle may report new danger prompt information at any time, at this time, the logistics wind control platform needs to determine whether to adjust the on-line accompanying task information in the first page based on the new danger prompt information, so that the real-time dynamic update of the on-line accompanying task information can be realized.

Specifically, updating the online companion task information includes: and updating the corresponding risk level, display mode (such as display color), sequencing and the like of the online accompanying task.

Optionally, in the first page, each online accompanying task corresponds to a task selection control, and when a worker triggers the task selection control, the front end of the logistics wind control platform generates a processing request of the selected online accompanying task, and step 202 is executed.

Step 202, in response to a processing request of the online accompanying task, displaying real-time state data of the target vehicle and dangerous driving behaviors to be corrected in a second page.

The second page is used for outputting information corresponding to the target vehicle, so that a worker can know the current state of the target vehicle and dangerous driving behaviors to be corrected, and starts to execute an online accompanying task.

The real-time state data of the target vehicle is collected by each vehicle-mounted device in real time. In an example, the real-time status data includes in-vehicle video information, location information, vehicle speed, fuel consumption, etc., and the specific type of the real-time status data depends on data that can be collected by the in-vehicle apparatus mounted on the target vehicle.

In one implementation, the target vehicle is provided with a DMS camera, and the real-time status data of the target vehicle includes the in-vehicle driver monitoring video and the dangerous driving behavior information reported by the DMS camera in real time. Based on the method, a worker can know the driving state of the driver through the real-time monitoring video, so as to judge whether to correct and remind the driving behavior, and know the improvement condition after correction and reminding through the video.

For example, the second page displays a real-time monitoring video of the cab sent by the DMS camera, and displays information of dangerous driving behavior to be corrected as "fatigue driving", and correspondingly, the second page also displays a video picture according to which the DMS camera determines "fatigue driving" behavior, so that a worker can determine a specific historical behavior of "fatigue driving" by looking at the video picture, such as frequent yawning, and then, in combination with the real-time monitoring video, determine whether the behavior still exists and whether other behaviors indicating "fatigue driving" occur, and based on the fact, determine whether to remind the driver in real time to assist in behavior correction.

Furthermore, the second page also displays historical driving data including continuous driving duration, vehicle speed, midway parking information and the like, so that the staff can also assist in judging whether to remind the driver to take a rest in time based on the historical driving data.

In an example, if the staff determines that the driver needs to be reminded of taking a rest as soon as possible based on the real-time monitoring video and the historical driving data, the staff may request to the logistic wind control platform to acquire a rest place; in response to the request, the logistic wind control platform can plan a driving route based on the current position of the target vehicle and the position of the nearest rest point, and send the driving route to the vehicle-mounted navigation device, and meanwhile send prompt information for forced rest to the driver.

A notification request control is provided in the second page that when triggered by the staff member requests a real-time notification to be sent to the target vehicle and step 203 is performed.

In response to the real-time notification request for the target vehicle, a real-time notification content submission dialog is provided on a third page, step 203.

The third page is used for the staff to submit notification content.

Optionally, the notification content submission dialog provides a recommended session selection field and a custom field. Therefore, the staff can select the recommended telephone edit notification content in the recommended telephone selection column, and also can input the notification content through the custom column, so that the staff can conveniently select a proper mode to input the notification content.

In implementation, the recommended call in the recommended call selection field may be extracted from the historical accompanying records of the same type of dangerous driving behavior to be corrected, or may also be extracted from the historical accompanying report corresponding to the target vehicle, or may also be preset by a staff member, and the determining manner of the recommended call is not limited in this embodiment.

In an example, the logistic wind control platform records each accompanying process, the recorded contents include dangerous driving behaviors to be corrected, accompanying notification contents, accompanying effects and the like, and through periodically analyzing the recorded contents, efficient accompanying notification contents aiming at a certain dangerous driving behavior can be obtained respectively, namely, the most effective accompanying notification contents are screened out based on the accompanying effects and used as recommended words for staff to select, so that accompanying efficiency is improved. The recommended speaking operation can be used for direct sending and can also support re-editing, so that a worker can adjust notification content in a targeted manner according to real-time accompanying conditions, and the driver is prevented from automatically ignoring repeated notification content. Furthermore, in a accompanying process, if the staff chooses to send the same recommended conversation beyond the threshold, the platform can actively remind the staff to replace the conversation in a popup window mode so as to promote the accompanying effect.

Optionally, a notification submission control is provided in the third page, and the staff member requests to submit the notification by triggering the notification submission control, executing step 204.

Step 204, responding to the notification submitting request, selecting at least one target vehicle-mounted device on the target vehicle, and issuing a real-time notification instruction to the target vehicle-mounted device, so that the target vehicle-mounted device outputs real-time notification content to a driver.

The notification output modes corresponding to different vehicle-mounted devices are the same or different.

In one example, a real-time notification mode may be specified in the notification submission request, and at this time, when the real-time notification instruction is issued to the target vehicle-mounted device, an execution mode (such as a broadcast and/or text display) of the real-time notification instruction may be specified based on the real-time notification mode specified in the submission request, so that a staff member may transmit notification content to a driver in a desired manner.

In other examples, the staff may send the instruction directly by voice broadcast, at which time the staff may accompany the driver by remote shouting.

Further, the information acquisition component of the vehicle-mounted device further comprises a microphone, and at the moment, a driver and a worker can perform bidirectional interaction through voice.

Optionally, the target vehicle-mounted device may be specified in the notification submitting request, or may be automatically determined by the logistics wind control platform, and the determining manner of the target vehicle-mounted device is not limited in this embodiment.

In one example, the logistical air control platform automatically selects at least one target on-board device on a target vehicle, comprising: the target in-vehicle device is determined based on the type of notification. The types of the vehicle-mounted devices corresponding to the different notification types are preset.

In another example, the logistical air control platform automatically selects at least one target vehicle-mounted device on the target vehicle, comprising: determining dangerous driving behavior types aimed at by real-time notification; determining whether the type is a duplicate reminder; and under the condition that the type is determined to be repeated reminding, selecting at least one vehicle-mounted device which can be used for information broadcasting from the vehicle-mounted devices which are not selected before, and determining the vehicle-mounted device as the target vehicle-mounted device. Therefore, the problem that the driver cannot receive the issued instruction when the driver artificially closes a certain vehicle-mounted device can be avoided.

Optionally, determining the dangerous driving behavior type for which the real-time notification is directed includes: and carrying out text analysis on the content of the real-time notification to obtain the dangerous driving behavior type aimed at by the real-time notification.

In one example, the in-vehicle device includes a first in-vehicle device and a second in-vehicle device, and the second in-vehicle device is determined to be the target in-vehicle device this time when the target in-vehicle device determined last time is the first in-vehicle device.

Optionally, the target vehicle-mounted device is different from the vehicle-mounted device that uploads the danger prompt information, for example: and when the danger prompt information is sent by the first vehicle-mounted device, determining the second vehicle-mounted device as a target device.

The implementation principle of the online accompanying method based on the logistics wind control platform provided by the embodiment comprises the following steps: the platform dynamically maintains the on-line accompanying task information and displays the on-line accompanying task information through a first page so as to ensure the real-time update of the on-line accompanying task information; displaying real-time state data of the target vehicle and dangerous driving behaviors to be corrected through the second page, so that a worker can check the real condition of the target vehicle, confirm accompanying measures, and check accompanying effects through the second page after corresponding accompanying measures are taken, so as to determine whether to take corresponding measures again; responding to a notification submission request submitted by a worker through a third page, and issuing a real-time notification instruction to target vehicle-mounted equipment of a target vehicle, so that the target vehicle-mounted equipment can output real-time notification content to a driver, and therefore, the vehicle with dangerous driving risk can be remotely and online attended, and the driver is assisted to correct driving behaviors as soon as possible by combining manual online attended.

Based on the above technical solution, optionally, referring to fig. 3, after the step 202, in response to a processing request of an online accompanying task, the method further includes:

step 301, in response to the request for end of the accompanying, collecting the first accompanying result through the fourth page.

The fourth page is used for the staff to submit the first accompanying result.

Specifically, the first accompanying result is used for indicating an online accompanying effect, for example: corrected, frequently-studied, etc., the content is filled by staff according to the actual accompanying situation.

Optionally, an end request control is provided in the second page, and the staff member requests to end the accompanying task by triggering the control, so as to execute step 301.

Optionally, the manner of collecting the first accompanying result through the fourth page may be that the accompanying result input by the worker is received through the fourth page, or the accompanying result may be determined by the selection operation of the preset accompanying result displayed on the fourth page by the receiving worker, which is not limited in this embodiment.

Step 302, generating a career report based on the first career result and the career process information analysis.

The accompanying report comprises dangerous driving behavior, accompanying time, accompanying results and other information.

The accompanying time includes an accompanying start time and an accompanying end time.

The accompanying start time is the time of receiving a selection instruction of an online accompanying task, and the accompanying end time is the time of receiving an accompanying end instruction.

The accompanying process information comprises dangerous prompt information corresponding to the target vehicle received in the accompanying process, and real-time notification content sent to the target vehicle by staff in the accompanying process. Further, the information of the accompanying process may further include vehicle state data of the target vehicle acquired during the accompanying process.

Optionally, generating the accompanying report based on the first accompanying result and the accompanying process information includes:

firstly, analyzing information of a accompany process to obtain a second accompany result; the analysis process includes determining whether dangerous driving behavior to be corrected is corrected based on dangerous prompt information reported by the vehicle-mounted equipment in the accompanying process, if the behavior to be corrected is overspeed driving, determining that the second accompanying result is uncorrected if the dangerous prompt information which is reported by the vehicle-mounted equipment in real time and indicates overspeed driving is received by the platform in a preset time before accompanying is finished or in a preset time after the last notification content is sent.

And then, comparing the second accompanying result with the first accompanying result to obtain a comparison result, wherein the comparison result comprises evaluation information for indicating whether the first accompanying result is real or not. In an example, if the second accompanying result is uncorrected and the first accompanying result is corrected, the marker is abnormal in comparison result.

And finally, recording the comparison result in the accompanying report. Simultaneously, the first accompanying result and the second accompanying result can be synchronously recorded into the accompanying report.

In the technical scheme, in order to verify the authenticity of the first accompanying result input manually, the platform directly analyzes and determines the second accompanying result based on the information of the accompanying process, and verifies the authenticity of the first accompanying result based on the second accompanying result, so that the on-line accompanying work of the staff based on the content of the accompanying report can be conveniently evaluated, the management of the staff can be facilitated, and meanwhile, the accuracy based on the accompanying report data can be improved, so that the accuracy of the secondary analysis result based on the report data is ensured, and the determination of the recommended speaking operation is ensured.

Further, the accompanying process information further includes an instruction issued by a worker to the vehicle-mounted device in the accompanying process, and at this time, the accompanying process information is analyzed to obtain a second accompanying result, and the method further includes: under the condition that the driver is determined to not correct dangerous driving behaviors to be corrected, determining whether notification content in an instruction issued by a worker to the vehicle-mounted equipment in the accompanying process is matched with the dangerous driving behaviors to be corrected or not; if the two types of information are matched, determining that the driver does not change frequently; if the two images are not matched, abnormality of the accompanying process is determined.

Optionally, determining whether the notification content matches the dangerous driving behavior to be corrected includes: carrying out semantic analysis on the notification content; and when the notification content contains semantics corresponding to the dangerous driving behavior to be corrected, determining that the notification content is matched with the dangerous driving behavior to be corrected. Such as: and when the dangerous driving behavior to be corrected is overspeed, determining that the notification content is matched with the dangerous driving behavior when the notification content contains the semantic of deceleration.

In one example, the accompanying process information includes danger prompt information corresponding to the target vehicle received in the accompanying process; at this time, a accompany report is generated based on the accompany time and the accompany process information, the accompany process information is analyzed, and a second accompany result is obtained, including: and comparing the dangerous prompt information corresponding to the target vehicle received in the accompanying process with the dangerous prompt information corresponding to the target vehicle received in the target time after the accompanying process is finished, so as to obtain a second accompanying result.

According to the technical scheme, the second accompanying result can be determined by combining the dangerous prompt information corresponding to the target vehicle received in the target time after the accompanying is finished, so that the accuracy of the determined second accompanying result can be improved, and the accuracy of the generated accompanying report can be improved.

In addition, by comparing analysis before and after the accompanying, reference can be provided for optimizing the accompanying work, such as: when a worker issues an instruction aiming at a dangerous driving behavior, the worker can refer to the notification content with good accompany result in the history accompany report, so that the online accompany effect can be improved.

Optionally, the target duration is determined based on the accompanying duration, and the longer the accompanying duration, the longer the target duration. The target duration can be matched with the accompanying duration, so that the second accompanying result can be conveniently determined by combining the dangerous prompt information corresponding to the target vehicle received in the target duration after the accompanying is finished.

In actual implementation, the target duration may also be preset (for example, five minutes), and the setting manner of the target duration is not limited in this embodiment.

Further, the information of the accompanying process includes vehicle state data of the target vehicle in the accompanying process, and at this time, the second accompanying result can be determined by combining the vehicle state data of the target vehicle in the target time period after the accompanying is finished.

In actual implementation, the second accompanying result may be determined based on other information in the accompanying process, and the method for determining the second accompanying result is not limited in this embodiment.

In other examples, the second companion outcome may also be determined in conjunction with vehicle state data for a target time period prior to the onset of the companion, such as: the second accompanying result is determined based on the vehicle state data of the target duration after the accompanying is finished and the vehicle state data of the target duration before the accompanying is started, so that the accuracy of the second accompanying result obtained through analysis can be further improved, and the determination mode of the second accompanying result is not limited in the embodiment.

According to the technical scheme, the first accompanying result is collected through the fourth page in response to the accompanying ending request, and the accompanying report is generated based on the first accompanying result and the accompanying process information, so that the online accompanying process can be conveniently analyzed and summarized based on the accompanying report, and the online accompanying process can be optimized.

Based on the above technical solution, referring to fig. 4, optionally, the online accompanying method provided in this embodiment further includes the following steps:

in step 401, it is determined whether to accompany the on-road vehicle in response to the danger prompt information reported by the on-vehicle device of the on-road vehicle.

Optionally, the manner of determining whether to accompany the on-road vehicle may be automatically determined by the logistic wind control platform, or may also be manually determined by a staff, or may also be determined by a combination of the automatic determination by the logistic wind control platform and the manual determination by the staff.

In one example, determining a condition for a vehicle in transit to accompany includes: the method for determining whether to accompany the in-transit vehicle is not limited in the embodiment, and the corresponding hazard level of the dangerous driving behavior to be corrected is high, the same dangerous driving behavior continuously appears in the in-transit vehicle and/or the number of accumulated dangerous prompt messages exceeds a preset prompt frequency threshold value in a preset accumulated time length (such as ten minutes) of the in-transit vehicle.

And step 402, displaying an online accompanying task corresponding to the on-road vehicle in a first page under the condition that the on-road vehicle is confirmed to accompany.

And under the condition that the on-road vehicle is not accompanied, the on-line accompanying task corresponding to the on-road vehicle is not displayed in the first page.

Optionally, under the condition that the on-road vehicle is not accompanied, the vehicle state information corresponding to the dangerous driving prompt information is recorded, so that the accuracy of the dangerous prompt information can be checked conveniently afterwards.

According to the technical scheme, under the condition that the dangerous prompt information reported by the vehicle-mounted equipment of the on-road vehicle is received, whether the on-road vehicle is accompanied is determined, and under the condition that the on-road vehicle is accompanied is determined, the on-line accompanying task corresponding to the on-road vehicle is displayed in the first page, so that the vehicle for on-line accompanying can be determined according to the actual situation, and further the on-line accompanying efficiency can be improved.

Based on the above technical solution, optionally, in the above step 401, the method for determining whether to accompany the on-road vehicle includes the following steps:

first, referring to fig. 5, determining whether to accompany an in-transit vehicle includes the steps of:

step 501, acquiring target state data used by the vehicle-mounted device when determining the danger prompt information and related state data acquired by other vehicle-mounted devices on the vehicle in the same time period.

The related state data comprise data which can be used for assisting in judging whether dangerous driving behaviors indicated by the dangerous prompt information actually occur or not, and preferably, the data are acquired by other vehicle-mounted equipment, so that data verification of different dimensions can be realized, and the accuracy of a judging result is improved.

Step 502, analyzing whether dangerous driving behaviors exist in the on-road vehicle based on the target state data, and verifying the analysis result based on the relevant state data to determine whether dangerous driving behaviors exist in the on-road vehicle. The platform re-analyzes whether dangerous driving behaviors exist in the on-road vehicle based on the target state data, obtains a corresponding analysis result, and verifies the analysis result based on the related state data, so that whether dangerous driving behaviors exist in the on-road vehicle and specific behavior types are finally determined by means of stronger computing capacity and wider data base of the platform, and accuracy of the analysis result can be guaranteed.

For example, dangerous driving behaviors indicated by dangerous prompt information reported by an Adas camera include overspeed driving, a platform acquires target state data used by the Adas camera when lane departure is determined, including but not limited to video data, vehicle speed monitoring data and the like, and simultaneously can acquire fuel consumption records in a corresponding time period from a fuel consumption sensor, the platform can firstly analyze based on the video data and the vehicle speed monitoring data to determine whether overspeed and other dangerous driving behaviors exist, such as lane departure and the like, and perform auxiliary verification based on the fuel consumption data to determine whether overspeed driving exists, in an example, if the platform determines that overspeed driving behaviors exist based on the target state data and the fuel consumption data change condition is matched with the vehicle driving speed change condition, the overspeed driving in an analysis result can be determined to be real, namely vehicle-mounted equipment is normal; and if overspeed running does not exist in the platform analysis result, determining that the vehicle-mounted equipment is abnormal.

Notably, the analysis results after platform verification may include: the method comprises the steps of no dangerous driving behavior, dangerous driving behavior indicated by dangerous prompt information, and dangerous driving behavior which is inconsistent with the dangerous driving behavior indicated by the dangerous prompt information.

The corresponding processing modes are different for different analysis results.

In an example, if the analysis result indicates that dangerous driving behaviors do not exist, the platform can choose not to accompany the on-road vehicle and record abnormality of vehicle-mounted equipment reporting dangerous prompt information; if the analysis result shows that dangerous driving behaviors indicated by the dangerous prompt information exist, the platform can confirm to accompany the on-road vehicle; if the analysis result shows that dangerous driving behaviors exist but are inconsistent with the dangerous driving behaviors indicated by the dangerous prompt information, the platform can determine to accompany the on-road vehicle and record the abnormality of the vehicle-mounted equipment reporting the dangerous prompt information. When the abnormal record times of the vehicle-mounted equipment exceeds a preset threshold, the platform can alarm the vehicle-mounted equipment to prompt a worker to overhaul the vehicle-mounted equipment.

Step 503, based on the dangerous driving behavior, it is determined to accompany the in-transit vehicle, and it is determined that the dangerous driving behavior is to be corrected.

Second, referring to fig. 6, determining whether to accompany the in-transit vehicle, comprises the steps of:

step 601, determining a hazard value of the in-transit vehicle based on the hazard prompt information.

In one example, determining whether to accompany the in-transit vehicle includes: determining a hazard value for the in-transit vehicle based on the hazard cue information, comprising: determining an adjustment amplitude based on the weight of the dangerous driving behavior indicated by the dangerous prompt information and the weight corresponding to the on-road vehicle; the hazard value of the in-transit vehicle is updated based on the adjustment amplitude.

Wherein, the weight corresponding to dangerous driving behavior is preset. Such as: the greater the degree of risk of dangerous driving behavior, the greater the weighting of dangerous driving behavior.

The weights of the on-road vehicles may be determined based on the type of waybill being performed by the on-road vehicle, such as: the weight corresponding to the freight list of the dangerous goods is larger than that of the ordinary goods, or can be set based on the type of the vehicle, for example: the greater the rated load capacity of the vehicle, the greater the weight corresponding to the vehicle, and the present embodiment does not limit the manner in which the weight of the on-road vehicle is determined.

The dangerous value of each vehicle in the logistics wind control platform is maintained by the logistics wind control platform. The calculation time of the dangerous value of the vehicle may be before the preset calculation time, or may be the start execution time of the waybill, and the embodiment does not limit the calculation time of the dangerous value of the vehicle.

According to the technical scheme, the adjustment amplitude is determined based on the weight of the dangerous driving behavior and the weight corresponding to the on-road vehicle, and the dangerous value of the on-road vehicle is updated based on the adjustment amplitude, so that the determined dangerous value is matched with the real situation of the on-road vehicle, and the accuracy of the determined target vehicle can be improved.

In addition, because the dangerous value of the in-transit vehicle is calculated in an accumulated way, the dangerous value can reflect the dangerous degree of the target vehicle in a period of time, and therefore the accuracy of the determined target vehicle can be further improved.

In actual implementation, the risk value of the in-transit vehicle may also be calculated based on other means, such as: the adjustment amplitude is directly calculated based on the weight of the dangerous driving behavior to be corrected and the weight corresponding to the on-road vehicle, and the calculation mode of the dangerous value corresponding to the on-road vehicle is not limited in the embodiment.

Step 602, determining whether the on-road vehicle meets a preset accompanying condition based on the risk value of the on-road vehicle.

In one example, the preset cosupport condition is that the hazard value rank of the vehicle is less than or equal to a preset ranking threshold, when determining whether the on-road vehicle meets the preset cosupport condition based on the hazard value of the on-road vehicle, comprising: sequencing all vehicles in transit in the logistics wind control platform according to the sequence from the big dangerous value to the small dangerous value; determining whether the rank of the in-transit vehicle is less than or equal to a preset ranking threshold; and under the condition that the ranking of the on-road vehicles is smaller than or equal to a preset ranking threshold value, determining that the on-road vehicles meet preset accompanying conditions.

Because all on-road vehicles in the logistics wind control platform can be ordered according to the dangerous value, and under the condition that the ordering of the on-road vehicles is smaller than or equal to the ranking threshold value, the on-road vehicles are determined to meet the preset accompanying condition, on-line accompanying resources can be accurately distributed according to the dangerous degree, and accordingly the effect of on-line accompanying can be improved.

Alternatively, the preset ranking threshold may be dynamically adjusted based on the number of online and idle staff members, such as: the more workers that are online and idle, the greater the preset ranking threshold. So can be convenient for make full use of online resource carries out online accompanying to the driver.

In actual implementation, other preset accompanying conditions may be set, for example: the preset accompanying condition is that the dangerous value of the vehicle is larger than or equal to the preset dangerous threshold value, and the embodiment does not limit the content of the preset accompanying condition.

And step 603, under the condition that the on-road vehicle meets the preset accompanying condition, the on-road vehicle is determined to accompany, and the dangerous driving behavior indicated by the dangerous prompt information is determined to be the dangerous driving behavior to be corrected.

And under the condition that the on-road vehicle does not meet the preset accompanying condition, determining that the on-road vehicle is not accompanied.

According to the technical scheme, the dangerous value of the on-road vehicle is determined, and the on-road vehicle is determined to be the target vehicle under the condition that the dangerous value of the on-road vehicle meets the accompanying condition, so that the target vehicle can be determined based on the dangerous degree of the vehicle, and the accuracy of the determined target vehicle can be improved.

In actual implementation, the two schemes may be combined or otherwise used to determine whether to accompany the on-road vehicle, and the embodiment does not limit the manner of determining whether to accompany the on-road vehicle.

Optionally, referring to fig. 7, in step 201, dynamically maintaining online accompanying task information in the first page includes the following steps:

step 701, determining a target staff member from the online staff members.

Wherein, online staff means: currently, workers who are receptive to online companion tasks.

Alternatively, the number of the target workers may be one, or may be two or more, and the number of the target workers is not limited in this embodiment.

In one example, determining the target staff member from the online staff members includes: and determining the target staff from the online staff based on the dangerous value of the target vehicle corresponding to the online accompanying task.

Wherein, dangerous value processing ranges corresponding to different staff are preset.

The method for determining the dangerous value of the target vehicle corresponding to the on-line accompanying task is the same as the method for determining the dangerous value of the on-road vehicle based on the dangerous prompt information in the above step 601, and this embodiment is not described herein again.

Because the target staff can be determined based on the dangerous value of the target vehicle, the accurate matching of the staff and the online accompanying task is realized based on the dangerous value, thereby being beneficial to reasonably distributing online accompanying resources and improving the accompanying efficiency.

Optionally, the dangerous value processing range corresponding to the staff is determined based on the historical accompanying report corresponding to the staff. Such as: the history accompanying report indicates that the accompanying efficiency of the staff is high, and the accompanying result is good, and then the dangerous value processing range corresponding to the high dangerous value is distributed for the staff. Therefore, the method can be helpful for reasonably determining the corresponding dangerous value processing range of the staff and improving the matching degree of the dangerous value processing range and the staff.

In actual implementation, the dangerous value processing range corresponding to the staff can also be determined by combining other information, such as: the dangerous value processing range is determined by combining the information of the working personnel such as the post grade, the working age and the like, and the dangerous value processing range corresponding to the working personnel is not limited by the mode of determining the dangerous value processing range.

Optionally, the dangerous value interval is divided into more than two continuous preset processing ranges, the dangerous value processing range corresponding to the staff includes a recommended processing range, the recommended processing range is one of the preset processing ranges, at this time, the target staff is determined from the online staff based on the dangerous value of the target vehicle corresponding to the online accompanying task, including: determining a target preset processing range corresponding to a dangerous value of a target vehicle; determining whether the online staff has staff with the recommended processing range identical to the target preset processing range; if the target preset processing range exists, determining the staff with the recommended processing range being the same as the target preset processing range as the target staff; if the target preset processing range is not included, the staff with the processing range including the target preset processing range is determined to be the target staff.

The preset processing range is obtained by dividing a dangerous value interval in advance.

The dangerous value processing range corresponding to the staff is composed of at least one preset processing range.

Recommended processing range means: and in the dangerous value processing range corresponding to the staff, the dangerous value is the highest preset processing range. Specifically, in the case that the dangerous value processing range corresponding to the staff member is formed by a preset processing range, the preset processing range is the recommended processing range corresponding to the staff member; when the dangerous value processing range corresponding to the staff member is formed by more than two preset processing ranges, the preset processing range with the highest dangerous value in the preset processing ranges corresponding to the staff member is the optimal processing range corresponding to the staff member.

In the above technical scheme, under the condition that the staff with the recommended processing range being the same as the target preset processing range exists in the online staff, the staff with the recommended processing range being the same as the target preset processing range is determined to be the target staff, so that the staff can be preferentially matched based on the recommended processing range, on-line accompanying resources can be further distributed, and accompanying efficiency is improved.

In another example, determining the target staff member from the online staff members includes: and determining a target staff based on the type of dangerous driving behavior to be corrected corresponding to the online accompanying task.

The dangerous driving behavior processing type corresponding to the staff is preset. Specifically, the dangerous driving behavior processing types corresponding to the staff may be one or more than two, which is not limited in this embodiment.

Because the target staff can be determined based on the type of dangerous driving behaviors to be corrected corresponding to the online accompanying task, the accurate matching of the staff and the online accompanying task can be realized based on the type of dangerous driving behaviors, thereby being beneficial to reasonably distributing online accompanying resources and improving accompanying efficiency.

Optionally, the dangerous driving behavior processing type corresponding to the staff is determined based on the historical accompanying report corresponding to the staff. Such as: based on the history accompanying report, analyzing the accompanying efficiency and accompanying results of the staff on various dangerous driving behaviors, and determining the type with high accompanying efficiency and good accompanying result as the dangerous driving behavior processing type corresponding to the staff. Therefore, the method can be helpful for reasonably setting the corresponding dangerous value processing range of the staff and improving the matching degree of the dangerous value processing range and the staff.

In actual implementation, the dangerous driving behavior processing type corresponding to the staff can also be determined by combining other information, such as: by combining professional background of the staff and information such as working years to determine, the method for determining the dangerous driving behavior processing type corresponding to the staff is not limited in the embodiment.

In other examples, the degree of matching of the worker with the target vehicle may be determined in combination with the risk value of the target vehicle and the risk value processing range of the worker, and the present embodiment is not limited to the manner of determining the degree of matching of the worker with the target vehicle.

In actual implementation, the target staff member may also be determined based on other means, such as: the staff with the least tasks to be attended on line is determined as the target staff, and the determination mode of the target staff is not limited in the embodiment.

Step 702, pushing an online accompanying task to a target staff member for the target staff member to operate.

Optionally, pushing the online accompanying task to the target staff for the target staff to operate, including: and adding an online accompanying task to a first page corresponding to the target staff.

The first pages corresponding to different staff members are the same or different, so that online accompanying tasks can be conveniently distributed to the staff members based on the different first pages.

In one example, the number of target staff members includes more than two, pushing online companion tasks to the target staff members, including: and simultaneously pushing the online accompanying tasks to all target staff. Therefore, the response speed of the staff to the online accompanying task can be improved, and the efficiency of online accompanying can be improved.

Accordingly, in step 202, in response to the processing request for the online accompanying task, the method further includes: canceling the target online accompanying task pushed to the target staff can help ensure that the online accompanying task is only processed by one target staff.

Specifically, canceling the target online accompanying task pushed to the target person includes: and removing the target online accompanying task from the first page corresponding to all the target staff.

In another example, the target staff member is determined based on a degree of matching of the staff member with the target vehicle, at which time an online companion task is pushed to the target staff member, comprising: and pushing the online accompanying task and the tasks which can be processed by the target staff in other online accompanying tasks to be processed of the target vehicle to the target staff. Thus, the method can be helpful for carrying out centralized and unified processing on the on-line accompanying tasks of the vehicle.

In actual implementation, the online accompanying task may be pushed to the target staff in other manners, and the embodiment is not limited to the manner in which the online accompanying task is pushed to the staff.

According to the technical scheme, the target staff can be determined from the online staff, and the online accompanying task is pushed to the target staff for the operation of the staff, so that the targeted processing of the online accompanying task can be facilitated, and the efficiency of online accompanying can be improved.

Based on the above technical solution, referring to fig. 8, optionally, step 204, after issuing the instruction to the vehicle-mounted device in response to the operation of the target staff, further includes the following steps:

step 801, it is determined whether notification administrator conditions are satisfied.

In one example, determining whether notification administrator conditions are met includes: carrying out semantic analysis on an instruction issued to the vehicle-mounted equipment; whether the notification manager condition is satisfied is determined based on the semantic analysis result.

Optionally, in the case that the instruction includes text, the issued text may be directly subjected to semantic analysis; in the case that the instruction includes a voice, the content recognition may be performed on the issued voice, and then the result of the content recognition is subjected to semantic analysis, which is not limited in this embodiment.

In one example, notifying the administrator conditions includes: the instruction issued by the target staff to the driver contains a preset meaning.

Wherein the preset meaning is preset. In one example, the preset meaning is used to reflect that the driving risk is high, such as: severe overspeed, immediate deceleration, rapid wakefulness, etc.

In another example, notifying the administrator condition includes: the instructions issued to the same dangerous behavior reach a threshold number of times. Such as: the issued plurality of instructions each include a meaning of "slow down".

The frequency threshold is preset according to actual needs. Because the demands of different organizations on online accompanying may be different, different times thresholds can be set for different organizations, and when vehicles of a certain organization are judged, the times threshold corresponding to the organization is used, so that the demands of different organizations can be met.

Other notification manager conditions may also be set at the time of actual implementation, such as: the accompanying time length reaches the preset accompanying time length, etc., and the specific content of the condition of the notification manager is not limited in this embodiment.

Step 802, in the case that the notification administrator condition is satisfied, prompting the target staff to notify the administrator.

In one example, prompting the target staff member to notify the administrator includes: sending confirmation prompt information to a target worker; and responding to the confirmation information of the target staff to the determined prompt information, and automatically notifying an administrator of an organization to which the target vehicle belongs.

Optionally, the confirmation prompt information includes a reason for the notification, a content of the notification, and an object of the notification.

Correspondingly, the confirmation information is made based on the content of the confirmation prompt information, and the target staff can modify the content of the confirmation prompt information and then feed back to the logistics wind control platform.

Therefore, under the condition that the target staff confirms, the risk notification to the organization administrator can be automatically realized based on the logistics wind control platform, so that the organization administrator can manage the behavior of the target vehicle in time, and the efficiency of on-line accompanying can be further improved.

Alternatively, the automatic notification may be a text notification, such as: the short message notification may be a voice notification, for example: the mode of automatic notification is not limited to the mode of telephone notification.

In another example, prompting the target staff member to notify the administrator includes: and sending notification prompt information and a notification interface to the target staff, so that the target staff can notify an administrator of an organization to which the target vehicle belongs through the communication interface.

Optionally, the notification prompt information includes a reason for the notification, a notification session, and an object of the notification, and the communication interface includes an online chat interface and/or a voice call interface.

Correspondingly, the target staff can be contacted with an administrator of an organization to which the target vehicle belongs through a communication interface provided by the logistics wind control platform.

Therefore, the target staff can be conveniently prompted to directly communicate with the manager, the manager can conveniently timely and effectively assist the target staff to accompany the driver, and further the efficiency of online accompanying can be improved.

Optionally, the logistic wind control platform may send confirmation prompt information and notification prompt information to the target staff at the same time, at this time, the target staff may select the notification mode by self and perform corresponding operation, or may send confirmation prompt information to the target staff first, and send notification prompt information to the target staff under the condition that the automatic notification effect is not good, so as to prompt the staff to perform manual notification.

In actual implementation, the target staff may be prompted to notify the administrator by other means, and the present embodiment is not limited to the manner in which the target staff is prompted to notify the administrator.

According to the technical scheme, whether the notification manager condition is met or not can be determined after the instruction is issued to the vehicle-mounted equipment, and the staff is prompted to notify the manager under the condition that the notification manager condition is met, so that dangerous driving behaviors of a driver can be corrected in time, and the efficiency of online accompanying is improved.

It should be noted that, the dividing of the first page, the second page, the third page and the fourth page is only to distinguish different display contents, and in actual implementation, the first page, the second page, the third page and the fourth page may be implemented based on different web pages or may be implemented based on different display controls in the same web page.

In an example, the electronic device is the server 120 of the online accompanying system, and in actual implementation, the electronic device may be implemented as other devices, which is not limited by the type of the electronic device. As shown in fig. 9, the electronic device 900 shown in fig. 9 includes: a processor 901 and a memory 903. The processor 901 is coupled to a memory 903, such as via a bus 902. Optionally, the electronic device 900 may also include a transceiver 904. It should be noted that, in practical applications, the transceiver 904 is not limited to one, and the structure of the electronic device 900 is not limited to the embodiments of the present application.

The processor 901 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application SpecificIntegrated Circuit ) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. The processor 901 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of DSP and microprocessor, etc.

Bus 902 may include a path to transfer information between the components. Bus 902 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (ExtendedIndustry Standard Architecture ) bus, or the like. The bus 902 may be classified as an address bus, a data bus, or the like. For ease of illustration, only one thick line is shown in fig. 9, but not only one bus or one type of bus.

The Memory 903 may be, but is not limited to, ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, EEPROM (Electrically ErasableProgrammable Read Only Memory ), magnetic disk storage or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

The memory 903 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 901. The processor 901 is configured to execute application code stored in the memory 903 to implement what is shown in the foregoing method embodiments.

Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, PDAs (personal digital assistants), PADs (tablet computers), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. And may also be a server, etc. The electronic device shown in fig. 9 is only an example, and should not impose any limitation on the functions and scope of use of the embodiments of the present application.

The embodiment of the application also provides a computer readable storage medium, and the computer readable storage medium stores a computer program, when the computer program is executed in a computer, the computer is caused to execute the online accompanying method based on the logistics wind control platform provided by the embodiment.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein.

The foregoing is only a partial embodiment of the present application and it should be noted that, for a person skilled in the art, several improvements and modifications can be made without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims

1. The online accompanying method based on the logistics wind control platform is characterized by being used in the logistics wind control platform, and comprises the following steps:

2. The method of claim 1, wherein after the processing request in response to the online companion task, further comprising:

3. The method of claim 2, wherein the generating a companion report based on the first companion result and companion process information comprises:

and recording the comparison result in the accompanying report.

4. The method according to claim 1, wherein the method further comprises:

5. The method of claim 4, wherein the determining whether to accompany the in-transit vehicle comprises:

6. The method of claim 4, wherein the determining whether to accompany the in-transit vehicle comprises:

7. The method of claim 6, wherein the determining the hazard value of the in-transit vehicle based on the hazard cue information comprises:

8. The method of claim 6, wherein the determining whether the on-road vehicle satisfies a preset accompanying condition based on the hazard value of the on-road vehicle comprises:

9. An electronic device, characterized in that the electronic device comprises:

at least one processor;

a memory;

at least one application program, wherein the at least one application program is stored in the memory and configured to be executed by the at least one processor, the at least one application program configured to: performing the logistic wind control platform-based on-line accompanying method of any one of claims 1 to 8.

10. A computer readable storage medium having a computer program stored thereon, characterized in that the computer program, when executed in a computer, causes the computer to perform the logistic wind control platform based on-line accompanying method according to any one of claims 1 to 8.