CN107944797B - Transportation task monitoring method, device and system - Google Patents
Transportation task monitoring method, device and system Download PDFInfo
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Abstract
The invention discloses a monitoring method of a transportation task, which can be applied to the field of logistics transportation and comprises the following steps: acquiring the planned time for the transport vehicle to reach the next station when the transport vehicle executes the transport task; receiving position information returned by the transport vehicle; analyzing the road condition according to the position information to obtain the predicted time of the transport vehicle reaching the next station; performing error point prediction according to the planned time and the predicted time to obtain an error point prediction result; and controlling the transport vehicle to execute the transport task according to the error point prediction result. The invention also discloses a monitoring device and a monitoring system for the transportation task. According to the monitoring method, the monitoring device and the monitoring system for the transportation tasks, the problems that accurate point distribution is difficult to achieve effectively in a traditional logistics transportation task monitoring system and distribution efficiency is still low are solved, accurate point distribution can be achieved effectively, and distribution efficiency is improved greatly.
Description
Technical Field
The invention relates to the technical field of logistics transportation, in particular to a method, a device and a system for monitoring a transportation task.
Background
Along with the development of social production, diversified and high-requirement technical service requirements also appear. As an indispensable logistics service under a modern business system, people gradually perfect a logistics transportation system from various aspects in order to respond to service requirements of rapid, on-time, safe, flexible, low-cost and the like of transportation business in various fields of society. In the internet era, modern logistics transportation systems have been tightly combined with internet technology. In the face of a general logistics transportation task, a modern logistics transportation system of the internet technology is combined, a logistics monitoring system can be formed by a ground control center, the internet, a vehicle-mounted monitoring device and the like, and a manager of the ground control center collects logistics information and sends the logistics information to a client, so that the client can know the self freight transportation dynamic state within a certain time.
However, the traditional logistics transportation task monitoring method is difficult to effectively achieve accurate distribution, so that the distribution efficiency is still not high.
Disclosure of Invention
Based on the above analysis, it is necessary to provide a method, a device and a system for monitoring transportation tasks, aiming at the problem that the traditional logistics transportation task monitoring system is difficult to effectively achieve accurate delivery, so that the delivery efficiency is still not high.
A method of monitoring a transportation task, comprising the steps of:
acquiring the planned time for the transport vehicle to reach the next station when the transport vehicle executes the transport task;
receiving position information returned by the transport vehicle;
analyzing the road condition according to the position information to obtain the predicted time of the transport vehicle reaching the next station;
performing error point prediction according to the planned time and the predicted time to obtain an error point prediction result;
and controlling the transport vehicle to execute the transport task according to the error point prediction result.
A transportation task monitoring device, comprising:
the plan acquisition module is used for acquiring the plan time of the transport vehicle reaching the next station when the transport vehicle executes the transport task;
the position receiving module is used for receiving the position information returned by the transport vehicle;
the road condition analysis module is used for analyzing the road condition according to the position information and acquiring the predicted time of the transport vehicle reaching the next station;
the error point prediction module is used for carrying out error point prediction according to the planned time and the predicted time to obtain an error point prediction result;
and the execution control module is used for controlling the transport vehicle to execute the transport task according to the error point prediction result.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for monitoring a transport task as described above.
A monitoring system of a transportation task comprises a transportation vehicle and a transportation task monitoring server, wherein the transportation vehicle is in communication connection with the transportation task monitoring server; the transportation task monitoring server comprises a vehicle monitoring server and a road condition analysis server;
the transport vehicle is used for executing a transport task and returning position information to the transport task monitoring server;
the vehicle monitoring server is in communication connection with the transport vehicle and the road condition analysis server respectively; the vehicle monitoring server acquires the planned time for the transport vehicle to reach the next site when the transport vehicle executes the transport task and receives the position information returned by the transport vehicle, and then sends the position information to the road condition analysis server;
the road condition analysis server receives and analyzes the road condition according to the position information, obtains the predicted time of the transport vehicle reaching the next station and sends the predicted time to the vehicle monitoring server; and the vehicle monitoring server carries out error point prediction according to the planned time and the predicted time, and controls the transport vehicle to execute the transport task according to the error point prediction result after obtaining the error point prediction result.
According to the monitoring method and the monitoring device for the transportation task, when the transportation task is executed by the transportation vehicle, the planned time and the predicted time for reaching the next station are obtained, the error point prediction is carried out according to the obtained planned time and the predicted time to obtain the error point prediction result, and finally the transportation vehicle is monitored to execute the transportation task according to the error point prediction result, so that accurate point delivery can be effectively achieved, and the delivery efficiency is greatly improved. In addition, the monitoring system of the transportation task can greatly facilitate the transportation and management personnel and the driver to deal with the sudden delay condition in advance through the error point prediction of the vehicle, and the distribution efficiency is improved.
Drawings
FIG. 1 is a flow chart of a method for monitoring a transportation task in accordance with one embodiment of the present invention;
FIG. 2 is a flow chart of a method for monitoring a transportation task according to another embodiment of the present invention;
fig. 3 is a flow chart of road condition analysis according to an alternative embodiment of the present invention;
fig. 4 is a flow chart of road condition analysis according to another alternative embodiment of the present invention;
FIG. 5 is a flow chart of a point of error prediction according to an alternative embodiment of the present invention;
FIG. 6 is an alternative exemplary flow chart of a point of error prediction in one embodiment of the present invention;
FIG. 7 is a flow chart illustrating control of an alternative delivery vehicle in accordance with an embodiment of the present invention;
FIG. 8 is an alternative exemplary flow chart of transportation task monitoring in one embodiment of the present invention;
FIG. 9 is a block diagram of a monitoring device for a transportation task in accordance with one embodiment of the present invention;
FIG. 10 is a block diagram of a monitoring system for a transportation task in accordance with one embodiment of the present invention;
fig. 11 is a diagram of a monitoring system for a transportation task according to another embodiment of the present invention.
Detailed Description
The following describes in detail specific embodiments of the transportation task monitoring method, apparatus, and system according to the present invention with reference to the accompanying drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
The logistics transportation is an important ring of social production, and with the change of social industrial structures, the demand of efficient logistics transportation is continuously strengthened. In the modern logistics transportation technology, the established logistics transportation system is a necessary link for logistics monitoring in the actual operation process, and transportation managers can master the execution condition of logistics transportation tasks, update the logistics transportation tasks at regular time and feed back logistics dynamics through monitoring. In actual operation of a traditional logistics transportation system, a complete transportation task monitoring system is generally used, so that a logistics transportation task is monitored in a whole process. However, the traditional transportation task monitoring method has many links of human participation and cannot effectively achieve accurate point distribution. Moreover, for one of the types of logistics transportation that is most emphatically standardized for point distribution: JIT (just in time) delivery, namely, sending proper products to a site specified by a customer in an accurate amount at a time specified by the customer; the traditional logistics monitoring method is more difficult to guarantee the quasi-point distribution.
Based on the defect that the traditional logistics transportation task monitoring method cannot effectively guarantee the quasi-point distribution, the transportation task monitoring method is provided. Referring to fig. 1, a method for monitoring a transportation task according to an embodiment of the present invention includes the following steps:
and S12, acquiring the planned time for the transport vehicle to reach the next station when the transport vehicle executes the transport task.
The transportation vehicle may be a cargo vehicle for performing a logistics transportation task, and is responsible for transporting the cargo to a receiving site designated by the customer. The transportation task may be specific transportation contents for sending the goods from the originating site to the receiving site specified by the customer during the logistics transportation, and may specifically include contents such as corresponding logistics order number information, goods information, delivery time, delivery site or customer information, and the like. Each transportation task typically corresponds to a logistics order of one or more customers; the transportation task can also be specially established for a client, for example, some manufacturers who frequently purchase raw materials often bring large logistics orders, and in order to ensure that the production plan of the manufacturers is not affected, the logistics transportation department generally arranges a special transportation task.
The next station can be a next destination for delivering goods when the transport vehicle executes the transport task and leaves the station for completing the last delivery; if the transportation task is only the originating site and the terminating site, then the next site may also be the terminating site of the transportation task. Usually, there is more than one delivery station for the transportation task, and the transportation vehicle will pass through each delivery station when performing the transportation task until the delivery of the final station is completed. The planned time may be a time that is pre-planned for the transportation task and requires the transportation vehicle to arrive at the next delivery site. The scheduling time is usually preset according to the requirements of the client. The scheduled time may comprise a scheduled arrival time from the originating site to each of the delivery sites.
Specifically, the transportation task monitoring system may obtain in advance a scheduled time for the transportation vehicle to reach the next station when performing the current transportation task. For example, the planning time is acquired by receiving and storing planning information previously entered by a manager; the desired planning time may also be obtained from a number of servers that store the planning time corresponding to the current transportation task.
And S14, receiving the position information returned by the transport vehicle.
The transport vehicle can contain a terminal with a position information receiving and sending function, such as a vehicle data recorder, a mobile phone or other equipment capable of realizing GPS and Beidou navigation positioning, so that the transport vehicle can send own position information to the transport task monitoring system in real time. The location information may be a real-time location at which the transportation vehicle is performing the transportation task.
Specifically, the transportation task monitoring system receives real-time position information sent back by the transportation vehicle in real time when the transportation vehicle executes a transportation task, so that the real-time position of the transportation vehicle at the current time point can be recorded.
And S16, analyzing the road condition according to the position information, and acquiring the predicted time of the transport vehicle reaching the next station.
The road condition analysis can be analysis of the unobstructed condition of the transportation route according to the position information returned by the transportation vehicle, so that the average running speed of the transportation vehicle on the transportation route can be known, and the expected time of the transportation vehicle reaching the next station can be calculated according to the distance between the transportation vehicle and the next station and the average running speed.
Specifically, after the transportation task monitoring system obtains the real-time position of the transportation vehicle, the transportation task monitoring system analyzes the road condition according to the position information, and therefore the estimated time required for the transportation vehicle to reach the next station when the transportation vehicle runs on the transportation route according to the current road condition is obtained.
And S18, performing error point prediction according to the planned time and the predicted time to obtain the error point prediction result.
Wherein the error point prediction may be to determine whether the error point will occur when the transportation vehicle arrives at the next station according to a comparison between the planned time and the predicted time. The result of the error point prediction may be that the transportation vehicle arrives at the next station later than the scheduled time, that the transportation vehicle arrives at the next station earlier than the scheduled time, or that the transportation vehicle arrives at the next station at a point in time specified by the scheduled time.
Specifically, after obtaining the planned time and the predicted time for the transportation vehicle to reach the next station, the transportation task monitoring system performs the error point prediction, so as to predict the predicted time for the transportation vehicle to reach the next station according to the current route condition in real time.
And S20, controlling the transport vehicle to execute the transport task according to the error point prediction result.
Specifically, the transportation task monitoring system performs corresponding control on the transportation vehicle after obtaining the result of the error point prediction, for example, the result of the error point prediction obtained by the transportation task monitoring system is as follows: and if the transport vehicle is wrong when reaching the next station, sending the newly planned transport route to the transport vehicle, so that the transport vehicle can drive to the next station according to the newly planned route in time, and ensuring that the transport vehicle can reach the next station according to the planned time standard point. For another example, the results of the point of error prediction obtained by the transportation task monitoring system are: and the transport vehicle can reach the next station according to the scheduled time, and then the punctuation prompt message is sent to the transport vehicle so that the transport vehicle continues to move to the next station according to the current driving state. For another example, the results of the point error prediction obtained by the transportation task monitoring system are: if the transport vehicle will arrive at the next station in advance, an advance arrival prompt message can be sent to the transport vehicle so that the transport vehicle can adjust the speed and other states, and therefore the aim point can be guaranteed to arrive at the next station. The next station may be any delivery station except the originating station, and it is understood that the steps of the monitoring method according to the embodiment of the present invention are repeatedly executed in the whole process of the transportation task until the transportation task is performed at the scheduled point.
By acquiring the planned time for the transport vehicle to reach the next station and the position information returned by the transport vehicle in real time when the transport vehicle executes the transport task, the error point prediction is carried out before the transport vehicle reaches the next station, and the transport vehicle is correspondingly controlled according to the error point prediction result, so that the transport vehicle is ensured to reach the next station at the alignment point. The monitoring method of the transportation task of the embodiment of the invention can effectively realize the quasi-point distribution; the error point prediction result obtained by the transportation task monitoring system can also be convenient for the transportation management personnel to deal with the emergency situation that the transportation vehicle will have error points due to various reasons in advance according to the error point prediction result, the transportation task monitoring system sends related information to the transportation vehicle in real time, and a driver can also adjust the driving state and the route according to the error point situation, so that the accuracy point distribution efficiency is further improved.
In one embodiment, the transportation task monitoring method can monitor a plurality of transportation tasks executed simultaneously through a unified transportation task monitoring system, so that multi-task unified monitoring can be realized, and the monitoring efficiency and the overall distribution efficiency are greatly improved. The monitoring method of the transportation task of the embodiment of the invention carries out error point prediction by a unified transportation task monitoring system, can greatly reduce the number of monitoring personnel and simultaneously avoids possible omission of manual judgment.
Referring to fig. 2, in another embodiment, the method for monitoring a transportation task according to an embodiment of the present invention may further include:
and S22, obtaining order information and station information corresponding to the transportation task.
The order information may be detailed information included in a logistics order automatically generated by the order management system after the customer puts forward a demand for logistics transportation, and may include, for example, logistics order number information, cargo information, delivery time, delivery site, transportation vehicle information, or customer information. Generally, a transportation task corresponds to one or more physical distribution orders, that is, the order information is determined by the physical distribution orders included in the transportation task. The site information may be one or more delivery destinations for delivering goods during the transportation task, which are usually sorted from near to far according to the distance relationship with the originating site, and the transportation vehicle may start from the originating site, go to the nearest site for delivery, and then go to the next farther site until the farthest site, i.e., the terminating site, is completed. The transport vehicles may also start delivery from the farthest station after the originating station, and then to the nearest station, i.e., the final station of the far-to-near delivery mode. The station information usually corresponds to at least one transport route, i.e. a travel route of the transport vehicle for carrying out the transport task, and the individual delivery stations are individual stop nodes of the transport vehicle on the travel route.
Specifically, the transportation task monitoring system may obtain order information and site information corresponding to the transportation task, so that the error point prediction and control steps may be repeatedly performed in the whole transportation task execution period, and it is ensured that each site can effectively implement quasi-point delivery.
S24, sending order information, site information and monitoring information to the display terminal; the monitoring information comprises planning time, position information, predicted time and a result of error point prediction.
It can be understood that the display terminal may be a general monitoring display, or may be a tiled wall display system, as long as it can receive the information output by the transportation task monitoring system and display it according to a certain rule.
Specifically, the transportation task monitoring system may synchronize the order information, the site information, and the monitoring information to the display terminal in the process of monitoring the execution of the transportation task. So, can the concrete process that the transport vehicle carried out the transportation task by visual display, make things convenient for fortune pipe personnel in time to see the real-time situation when transport vehicle carried out the transportation task, when the delivery will take place the mistake point, can assist transport task monitoring system control transport vehicle, perhaps increase extra scheduling operation, further ensure the delivery and aim at some.
Referring to fig. 3, in another embodiment, the step S16 may specifically include the following steps:
s162, acquiring historical information of a transport vehicle or real-time traffic information of a region where a transport task is located; the historical information comprises historical information of the transport vehicle passing through the previous station to the next station, and the traffic information comprises real-time road condition information updated by the traffic monitoring server, road network information provided by the map server and real-time road condition information.
It is understood that the historical information may be recorded data of the transportation vehicles passing through the transportation route between the same two stations during the last transportation task, and the recorded data is generally synchronously stored by a transportation task monitoring system or a special data acquisition server along the transportation task execution process so as to be called at any time. The previous station may refer to a previous station with respect to the next station, that is, a station where the transport vehicle completed the last delivery. The history information generally includes the average speed per hour of the same type of transportation vehicle passing through the same link between the two stops when the transportation vehicle has performed the transportation task in the past, and the road condition information between the two stops. The area where the transportation task is located may be a location range corresponding to the current location information returned by the transportation vehicle, for example, an area with a radius of 5km or 1km with the transportation vehicle as a center. The real-time traffic information may include traffic information of the transportation route, such as congestion of the road, and traffic congestion caused by collapse of the road. The road network information may be information of a plurality of selectable routes for the transportation vehicle to reach the next station.
Generally, a traffic monitoring server may be a server used by a traffic police department to issue road traffic information in real time, and the server may obtain real-time road condition information. The map server may be a server used by a map service provider to provide map information, and may be, for example, an operation server of google maps, an operation server of Baidu maps, or an operation server of Gade maps. Road network information and real-time road condition information can be obtained through a map server
Specifically, the transportation task monitoring system acquires the position information of the transportation vehicle, and simultaneously can be networked or call a special data acquisition server according to the real-time position of the transportation vehicle, so as to acquire historical information of a road section or real-time traffic information of an area where the transportation task is located between an upper station and a lower station corresponding to the position of the transportation vehicle, and facilitate subsequent road condition analysis operation. If there is no history information of the transport vehicle that performs the current transportation task, the history information may be replaced with the average speed per hour of the transport vehicle of that type on a similar road segment or a preset speed per hour.
And S164, analyzing the road condition according to the historical information or the traffic information, and acquiring the predicted time of the transport vehicle reaching the next station.
Specifically, the transportation task monitoring system may obtain historical information of a road section or real-time traffic information of an area where the transportation task is located, between an upper station and a lower station corresponding to the position information, when the position information of the transportation vehicle is obtained. And calculating the expected time required for the transport vehicle to reach the next station according to historical information, such as the historical average speed per hour of the transport vehicle, and the distance from the transport vehicle to the next station corresponding to the position information. The traffic jam or the routing route can be analyzed according to the real-time traffic information, and the expected time required for the transport vehicle to reach the next station according to the actual speed of the transport vehicle or the average speed of all vehicles on the transport route is predicted. And road condition analysis can be carried out according to historical information and real-time traffic information, and the expected time required for the transport vehicle to reach the next station is predicted.
The steps of the embodiment can accurately obtain the predicted time of the transport vehicle reaching the next station in real time. The road condition of the transport vehicle at the current position can be effectively obtained through the Internet or historical data, so that the passing condition of the transport vehicle from the front to the next station is analyzed, and the required predicted time is obtained.
Referring to fig. 4, in another embodiment, the step S16 may further include the following steps:
and S166, generating an offset threshold value of the route from the previous station to the next station according to the historical information.
The offset threshold may be an average width range value of a road segment between a previous station and a next station corresponding to the current position information, which is passed by the transport vehicle last time in the history information, that is, a width range value deviating from a center line of the road when the transport vehicle travels on the road. Typically, the haul route may be plotted on a map as a curve having a width that is typically provided by a map service provider through image measurements taken by a satellite. Therefore, the transportation task monitoring system can preset an offset threshold value on the route from the previous station to the next station according to the historical information, and the transportation vehicle is represented to be in a normal running state when running within the offset threshold value range. Similarly, a width range can be preset for each station by a similar method so as to accurately obtain the time for the transport vehicle to enter and exit the station; for example, the time when the transport vehicle starts to enter the area corresponding to the preset width range is the inbound time, and the time when the transport vehicle starts to leave the area corresponding to the preset width range is the outbound time.
And S168, generating a route deviation value of the transport vehicle according to the position information.
The route deviation value may be a real-time width range value deviating from a road center line during the driving process of the transport vehicle on the road when the transport vehicle executes the transport task.
And S169, if the route deviation value is larger than the deviation threshold value, sending a route deviation alarm.
Specifically, the transportation task monitoring system compares the size between the route deviation value of the transportation vehicle and the deviation threshold value in real time in the process of obtaining the predicted time of the transportation vehicle reaching the next station, and if the route deviation value is larger than the deviation threshold value, the transportation vehicle deviates from the transportation route, and then a route deviation alarm is sent out. Therefore, the system can remind the pipe transportation personnel or the driver of the transport vehicle in real time so as to correct the driving route in time and avoid the delay caused by the deviation of the route.
In one embodiment, if the route deviation value is greater than the deviation threshold value, a route deviation prompting message or a route correction scheme can be sent to the transport vehicle, so that the driving route can be corrected more effectively.
Referring to fig. 5, in an embodiment, the step S18 may specifically include the following steps:
and S182, comparing the planned time with the predicted time to obtain the remaining time.
Specifically, the transportation task monitoring system may compare the obtained planned time with the estimated time in a difference manner to obtain a time difference value, i.e., remaining time.
And S184, comparing the residual time with a preset time threshold value to obtain a result of error point prediction.
Specifically, the transportation task monitoring system may obtain a result of the error point prediction by comparing the obtained remaining time with a preset time threshold. The preset time threshold may be a preset error allowable time. For example, the preset time threshold may be as early as five minutes or as late as one minute, or may be zero minutes, i.e., the quasi-point is reached. Taking the example that the preset time threshold is as early as five minutes, if the remaining time is one minute, the transportation vehicle can arrive at the correct point, that is, the error point prediction result is that the error point does not occur. If the remaining time is ten minutes, the transportation vehicle will arrive five minutes later, and the error point prediction result is that the error point occurs. If the remaining time is negative ten minutes, i.e. the planned time is less than the expected time, the transport vehicle will arrive 5 minutes earlier, and the result of the mispoint prediction is that no mispoint will occur. Therefore, the result of the error point prediction can be accurately and quickly obtained. The scheduled time may be compared with the estimated time by other comparison methods as long as the arrival of the transportation vehicle at an early point, an arrival at a later point or an arrival at an earlier point can be distinguished.
In one embodiment, the step of predicting the error point may be a flow shown in fig. 6. When the transportation task monitoring system carries out error point prediction, if the transportation vehicle is judged to pass through at least one distribution station, the outbound time of the transportation vehicle passing through the last station is obtained, otherwise, the time of the transportation vehicle departing from the starting station is taken. And then comparing the obtained outbound time with the planned time to obtain the remaining time, and judging whether the transport vehicle can finish the remaining distance to the next station in the remaining time. If not, the error point prediction is carried out to obtain the result of the error point prediction. And if so, judging whether delay occurs on the transportation route going to the next station, wherein the delay can be caused by the fact that the vehicle deviates the transportation route, traffic jam in front of the transportation route, delay when the last station departs, weather influence or road collapse. If not, setting timing to judge again, for example, judging again after three minutes whether delay occurs. If so, judging whether the delay time caused by the delay is within the allowable error time, and if so, carrying out error point prediction to obtain the result of error point prediction. If not, re-planning a route according to the position information or the real-time traffic information to send to the transport vehicle, enabling the transport vehicle to bypass the road section which can be delayed, further returning to the step of judging whether the transport vehicle passes through the delivery station, and performing the error point prediction judgment process again.
The error point prediction judgment process in the embodiment can continuously perform error point prediction before the transport vehicle arrives at the next station, so that the problem that whether error points of the transport vehicle can occur or not cannot be predicted in time is avoided.
Referring to fig. 7, in an embodiment, the step S20 may specifically include the following steps:
and S202, if the error point prediction result is the error point of the transport vehicle, generating a plan change instruction.
The plan change instruction may be generated by the mission monitoring system according to the acquired historical information or real-time traffic information when the mission monitoring system predicts that the transit vehicle will have a wrong point, so as to initiate a plan change request.
Specifically, the transportation task monitoring system can start a control flow corresponding to the error point by initiating a plan change request.
And S204, generating emergency scheduling information according to the plan change instruction.
The emergency scheduling information may be emergency scheduling information for handling a wrong point, and may include, for example, a transportation route change, a transportation vehicle change, or an addition of a transportation vehicle.
Specifically, the transportation task monitoring system generates a plan change instruction so as to generate emergency scheduling information according to the transportation task, historical information or real-time traffic information after initiating a plan change request, so as to cope with error points. The emergency dispatch information may generally be generated based on the alternate route that is not subject to delay and that has the shortest route, except for the current route. For example, when it is determined that a delay occurs when delivery is performed according to a current route, the task output monitoring system sorts all alternative routes that can go from a previous route to a next route according to station information, historical information or real-time traffic information of a transportation task in an order that the probability of occurrence of the delay is lowest and the route is shortest, and extracts the alternative route with the lowest probability of the delay and the shortest route to generate emergency scheduling information. If the transportation task is continuously executed according to the emergency scheduling information and the time delay of the alternative route is judged again, the generation process of the emergency scheduling information can be repeated to obtain the next emergency scheduling information. The emergency dispatch information may also provide a solution for replacing a transportation vehicle, based on the transportation task and the reason for the error point, so as to arrange a spare vehicle to take over the transportation vehicle that cannot arrive at the next station on the spot to continue performing the transportation task. Therefore, a replacement plan can be provided in time, and the transport vehicle can arrive at the next station at an accurate point.
And S206, sending emergency scheduling information to the transport vehicle, and controlling the transport vehicle to execute a transport task.
Specifically, the transportation task monitoring system provides a countermeasure of plan change after predicting that the transportation vehicle will have a fault point, namely, generates emergency scheduling information and sends the emergency scheduling information to the transportation vehicle, so that the transportation vehicle changes a route from the previous station to the next station in advance according to the emergency scheduling information, bypasses a road section where the fault point will occur or a standby vehicle which is replaced before the previous docking, and the standby vehicle replaces the original transportation vehicle to continue to execute the current transportation task according to the emergency scheduling information. Therefore, delivery error points can be dealt with as early as possible, and the accurate point delivery efficiency is improved.
Referring to fig. 8, in another embodiment, the specific process of generating the emergency scheduling information according to the schedule change instruction to control the transportation vehicle to perform the transportation task may be, for example, the following flow:
and when judging that the transport vehicle is possibly subjected to error points or damaged midway, the transport task monitoring system generates a plan change instruction to initiate a plan change process. The haul task monitoring system determines whether a dispatch task for the haul vehicle has already begun. If not, namely the transport vehicle does not leave the current station and moves to the next station, updating corresponding scheduling task information in the system; the scheduling task may be a scheduling task that is configured in advance for a process in which the transport vehicle leaves the previous station and moves to the next station, and is used for controlling the transport vehicle to move to the next station on time. The scheduling task information is, for example, the model number, the number, and the transportation route of the transportation vehicle. If the current monitoring task is the current monitoring task, namely the transport vehicle leaves the previous station and moves to the next station, the reason for plan change and the vehicle information are recorded. The reason for the planned change may be, for example, congestion ahead of the transportation route or damage to the vehicle. The vehicle information may be the model and number of the transportation vehicles described above. And further judging whether the point can not be accurately reached so as to carry out final confirmation. And if so, reporting prompt information to an upper computer, wherein the upper computer is a management terminal for a transportation and management person to check the monitoring process in real time, such as a monitoring computer connected with a transportation task monitoring system. The prompt message can be a short message for notifying the wrong point or a warning for the wrong point. The prompt information is reported, so that the operation and management personnel can conveniently carry out manual scheduling in advance according to the error point reasons.
If not, the transport vehicle will have error point, but can achieve quasi-point arrival through emergency dispatching. The emergency scheduling information is generated based on the transportation task, the history information, or the real-time traffic information. And sending the emergency scheduling information to the transport vehicle so that the transport vehicle can continue to execute the transport task according to the emergency scheduling information. Therefore, when the transportation task monitoring system judges that the transportation vehicle is possibly subjected to error points or damaged midway, the operation flow of plan change is provided, the transportation vehicle is controlled to execute the transportation task through emergency scheduling, and the situation that the next station cannot be accurately reached due to the fact that the transportation vehicle continues to deliver according to the transportation route where the error points will occur is avoided.
Referring to fig. 9, in an embodiment, a transportation task monitoring device 100 is provided, which includes a plan obtaining module 10, a location receiving module 11, a road condition analyzing module 12, a point error predicting module 13, and an execution control module 14. And the plan acquisition module 10 is used for acquiring the planned time for the transport vehicle to reach the next station when the transport vehicle executes the transport task. And the position receiving module 11 is used for receiving the position information returned by the transport vehicle. And the road condition analysis module 12 is configured to perform road condition analysis according to the position information, and obtain a predicted time when the transport vehicle arrives at the next station. And the error point prediction module 13 is configured to perform error point prediction according to the planned time and the predicted time to obtain an error point prediction result. And the execution control module 14 is used for controlling the transport vehicle to execute the transport task according to the error point prediction result.
The transportation task monitoring device 100 of the embodiment of the invention realizes the error point prediction and controls the transportation vehicle to execute the transportation task according to the result of the error point prediction through the cooperation among the road condition analysis module 12, the error point prediction module 13 and the execution control module 14, thus effectively realizing the accurate point distribution; the error point prediction result obtained by the transportation task monitoring system can also be convenient for the transportation management personnel to deal with the emergency situation that the transportation vehicle will have error points due to various reasons in advance according to the error point prediction result, the transportation task monitoring system sends related information to the transportation vehicle in real time, so that a driver can adjust the driving state and the route according to the error point situation, and the accuracy point distribution efficiency is further improved.
In one embodiment, a computer device is also provided, which may be a general purpose computer or a special purpose computer. The computer device includes a memory and a processor. The memory has stored thereon a computer program operable on the processor. When the processor executes the computer program on the memory, the following steps are executed: acquiring the planned time for the transport vehicle to reach the next station when the transport vehicle executes the transport task; receiving position information returned by the transport vehicle; analyzing the road condition according to the position information to obtain the predicted time of the transport vehicle reaching the next station; performing error point prediction according to the planned time and the predicted time to obtain an error point prediction result; and controlling the transport vehicle to execute the transport task according to the error point prediction result.
In another embodiment, the computer device provided in the previous paragraph may further perform the steps of the method for monitoring a transportation task in the above embodiment when the processor executes the computer program on the memory.
In one embodiment, a computer readable storage medium is also provided, the computer readable storage medium storing a computer program that, when executed by a processor, causes the processor to perform the steps of: acquiring the planned time for the transport vehicle to reach the next station when the transport vehicle executes the transport task; receiving position information returned by the transport vehicle; analyzing the road condition according to the position information to obtain the predicted time of the transport vehicle reaching the next station; performing error point prediction according to the planned time and the predicted time to obtain an error point prediction result; and controlling the transport vehicle to execute the transport task according to the error point prediction result.
In another embodiment, the computer program on the computer readable storage medium of the preceding paragraph, when executed by the processor, further causes the processor to perform the steps of the method for monitoring a transportation task of the above embodiment.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware associated with computer program instructions, and the programs may be stored in a computer readable storage medium and sold or used as a stand-alone product. The program, when executed, may perform all or a portion of the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Referring to fig. 10, in another embodiment, a transportation task monitoring system 200 is further provided, which includes a transportation vehicle 21 and a transportation task monitoring server 20. The transport vehicle 21 is connected to the transport task monitoring server 20 in a communication manner. The transportation task monitoring server 20 includes a vehicle monitoring server 202 and a traffic analysis server 204. The transportation vehicle 21 is used to perform transportation tasks and return location information to the transportation task monitoring server 20.
The vehicle monitoring server 202 is respectively connected with the transport vehicle 21 and the road condition analysis server 204 in communication. The vehicle monitoring server 202 obtains the scheduled time for the transport vehicle 21 to reach the next site when executing the transport task and receives the position information returned by the transport vehicle 21, and then sends the position information to the traffic analysis server 204. The traffic analysis server 204 receives and analyzes the traffic information according to the location information, obtains the estimated time for the transportation vehicle 21 to arrive at the next station, and sends the estimated time to the vehicle monitoring server 202. The vehicle monitoring server 202 performs the error point prediction according to the planned time and the predicted time, and controls the transportation vehicle 21 to execute the transportation task according to the error point prediction result after obtaining the error point prediction result.
In the transportation task monitoring system 200 according to the embodiment of the present invention, the transportation task monitoring server 20 obtains the planned time and the predicted time for the transportation vehicle 21 to reach the next station when executing the transportation task, and performs the error point prediction according to the obtained planned time and the predicted time to obtain the error point prediction result. The transportation task monitoring server 20 finally monitors the transportation vehicle 21 to execute the transportation task according to the error point prediction result. Therefore, accurate point distribution can be effectively realized, and distribution efficiency is greatly improved. In addition, the system can also greatly facilitate the pipe transportation personnel and drivers to deal with the sudden delay condition in advance, and improve the distribution efficiency.
In another embodiment, the transportation task monitoring system 200 may include a plurality of transportation vehicles 21, so that the performance of a plurality of transportation tasks may be monitored simultaneously, improving the monitoring efficiency and the distribution efficiency.
In another embodiment, the task input monitoring server 20 may include at least one vehicle monitoring server 202 and at least one road condition analysis server 204, so that the monitoring efficiency can be improved by cooperation of multiple sets of servers.
In another embodiment, the vehicle monitoring server 202 and the traffic analysis server 204 may be entity servers or cloud servers, so that the entity servers or the cloud servers may be flexibly selected according to the requirements of the actual transportation task, and the monitoring processing speed is increased. The entity server may be a computer having the monitoring function.
Referring to fig. 11, in another embodiment, the monitoring system 200 for transportation tasks further includes a display terminal 22. The display terminal 22 is communicatively connected to the vehicle monitoring server 202. The display terminal 22 is configured to receive and display order information, site information, and monitoring information corresponding to the transportation task; the monitoring information comprises planning time, position information, predicted time and a result of error point prediction.
Specifically, the display terminal 22 may be a display with data transceiving and converting functions, such as a general computer monitor, a flat panel television, or a tiled wall display system. After receiving the order information, the site information and the monitoring information corresponding to the transportation task sent by the vehicle monitoring server 202, the display terminal 22 displays the order information, the site information and the monitoring information according to a preset rule, so that the transportation and management personnel can see the specific execution condition of the transportation task at any time, and can also directly display information corresponding to route deviation alarm and information corresponding to error point alarm on a screen. For example, the screen of the display terminal 22 displays the license plate number of the transportation vehicle, the order number of the transportation task, and information such as the delivery stations arranged from near to far from the origin station, the real-time position of the transportation vehicle, the station-entering and station-exiting time of the transportation vehicle passing through each station, the station-staying time, and the error point alarm mark, in correspondence with each transportation vehicle and the transportation task executed by the transportation vehicle, with a time scale as a background. Thus, through the display terminal 22, the transportation and management personnel can quickly and intuitively see the position of the transportation vehicle and the execution condition of the transportation task, so that the emergency situation in the execution process of the transportation task can be conveniently dealt with as early as possible, and the efficiency of accurate point distribution is improved.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for monitoring a transportation task, comprising the steps of:
acquiring the planned time for a transport vehicle to reach the next station when the transport vehicle executes a transport task, wherein the planned time is the planned time which is required for the transport vehicle to reach the next station;
receiving position information returned by the transport vehicle;
analyzing the road condition according to the position information to obtain the predicted time of the transport vehicle reaching the next station;
performing error point prediction according to the planned time and the predicted time to obtain an error point prediction result;
controlling the transport vehicle to execute the transport task according to the error point prediction result;
if the error point prediction result is the error point of the transport vehicle, generating a plan change instruction;
generating emergency scheduling information according to the plan change instruction;
and sending the emergency scheduling information to the transport vehicle, and controlling the transport vehicle to execute the transport task according to the emergency scheduling information.
2. The method for monitoring a transportation task according to claim 1, wherein the step of analyzing the road condition according to the location information and obtaining the predicted time of the transportation vehicle to reach the next station comprises:
acquiring historical information of the transport vehicle or real-time traffic information of an area where the transport task is located; the historical information comprises historical information of the transport vehicle from a previous station to a next station, and the traffic information comprises real-time road condition information updated by a traffic monitoring server, road network information provided by a map server and real-time road condition information;
and analyzing the road condition according to the historical information or the traffic information, and acquiring the predicted time of the transport vehicle reaching the next station.
3. The method for monitoring a transportation task according to claim 2, wherein the step of analyzing the road condition according to the location information and obtaining the predicted time of the transportation vehicle to reach the next station further comprises:
generating an offset threshold value of a route from a previous station to a next station according to the historical information;
generating a route offset value of the transport vehicle according to the position information;
and if the route deviation value is larger than the deviation threshold value, sending a route deviation alarm.
4. The method for monitoring a transportation task of claim 1, wherein the step of predicting a point of error based on the planned time and the projected time comprises:
comparing the planned time with the predicted time to obtain the remaining time;
and comparing the residual time with a preset time threshold value to obtain the result of the error point prediction.
5. The method for monitoring a transportation task of claim 1, wherein the step of controlling the transportation vehicle to perform the transportation task according to a result of the error point prediction further comprises:
and if the result of the error point prediction is that the transport vehicle can reach the next station according to the planned time, sending punctuation prompt information to the transport vehicle.
6. The method for monitoring a transportation task of claim 1, further comprising the steps of:
acquiring order information and site information corresponding to the transportation task;
sending the order information, the site information and the monitoring information to a display terminal; wherein the monitoring information includes the scheduled time, the location information, the estimated time, and a result of the false point prediction.
7. A transportation task monitoring device, comprising:
the system comprises a plan acquisition module, a plan acquisition module and a data processing module, wherein the plan acquisition module is used for acquiring the plan time of a transport vehicle reaching the next station when the transport vehicle executes a transport task, and the plan time is the planned time which is required for the transport vehicle to reach the next station;
the position receiving module is used for receiving the position information returned by the transport vehicle;
the road condition analysis module is used for analyzing the road condition according to the position information and acquiring the predicted time of the transport vehicle reaching the next station;
the error point prediction module is used for carrying out error point prediction according to the planned time and the predicted time to obtain an error point prediction result;
the execution control module is used for controlling the transport vehicle to execute the transport task according to the error point prediction result;
if the error point prediction result is the error point of the transport vehicle, generating a plan change instruction;
generating emergency scheduling information according to the plan change instruction;
and sending the emergency scheduling information to the transport vehicle, and controlling the transport vehicle to execute the transport task according to the emergency scheduling information.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for monitoring a transport task of any one of claims 1 to 6.
9. The monitoring system of the transportation task is characterized by comprising a transportation vehicle and a transportation task monitoring server, wherein the transportation vehicle is in communication connection with the transportation task monitoring server; the transportation task monitoring server comprises a vehicle monitoring server and a road condition analysis server;
the transport vehicle is used for executing a transport task and returning position information to the transport task monitoring server;
the vehicle monitoring server is in communication connection with the transport vehicle and the road condition analysis server respectively; the vehicle monitoring server acquires the planned time for the transport vehicle to reach the next station when the transport vehicle executes the transport task and receives the position information returned by the transport vehicle, and then sends the position information to the road condition analysis server, wherein the planned time is the planned time which is required for the transport vehicle to reach the next station;
the road condition analysis server receives and analyzes the road condition according to the position information, obtains the predicted time of the transport vehicle reaching the next station and sends the predicted time to the vehicle monitoring server; the vehicle monitoring server carries out error point prediction according to the planned time and the predicted time, and controls the transport vehicle to execute the transport task according to the error point prediction result after obtaining the error point prediction result;
if the error point prediction result is the error point of the transport vehicle, generating a plan change instruction;
generating emergency scheduling information according to the plan change instruction;
and sending the emergency scheduling information to the transport vehicle, and controlling the transport vehicle to execute the transport task according to the emergency scheduling information.
10. The transportation task monitoring system of claim 9, further comprising a display terminal communicatively coupled to the vehicle monitoring server;
the display terminal is used for receiving and displaying the order information, the site information and the monitoring information corresponding to the transportation task; wherein the monitoring information includes the scheduled time, the location information, the estimated time, and a result of the false point prediction.
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