CN113344529A - Logistics resource scheduling method based on Internet of things and Internet of things system thereof - Google Patents
Logistics resource scheduling method based on Internet of things and Internet of things system thereof Download PDFInfo
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Abstract
The invention discloses a logistics resource scheduling method based on the Internet of things and an Internet of things system thereof in the logistics technology, which comprise a task query stage, a vehicle detection stage, a task allocation stage, a task determination stage and a task completion stage, wherein the S1 task query stage comprises the following steps: inquiring stock tasks, adding new task records and inquiring; s2, the vehicle detection stage comprises: newly-added vehicle record and detection, idle vehicle detection, task vehicle detection and task degree updating. The invention has the beneficial effects that: when the system is used in a logistics transportation system, logistics transportation resources can be allocated well, the information interaction of a driver, a control center and a client is completed while resource waste is avoided, and smooth completion of tasks is ensured.
Description
Technical Field
The invention relates to the technical field of logistics, in particular to a logistics resource scheduling method based on the Internet of things and an Internet of things system thereof.
Background
Logistics is a process of organically combining functions such as transportation, storage, loading, unloading, transportation, packaging, distribution, information processing and the like according to actual needs to meet user requirements in the process of physically flowing articles from a supply place to a receiving place.
With the continuous development of online shopping and land transportation networks, the requirements on the logistics transportation industry are higher and higher in actual life, and meanwhile, more employment opportunities are created. In actual life, most logistics companies receive tasks, distribute tasks and the like by manual work, so that information transmission time is prolonged, working efficiency is reduced, and a certain amount of logistics resources are wasted. Therefore, those skilled in the art provide a logistics resource scheduling method based on the internet of things and an internet of things system thereof to solve the problems set forth in the background art.
Disclosure of Invention
The invention aims to provide a logistics resource scheduling method based on the Internet of things and an Internet of things system thereof, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a logistics resource scheduling method based on the Internet of things and an Internet of things system thereof comprise a task query stage, a vehicle detection stage, a task allocation stage, a task determination stage and a task completion stage,
s1, the task inquiry stage comprises: inquiring stock tasks, adding new task records and inquiring;
s2, the vehicle detection stage comprises: newly adding vehicle record and detection, idle vehicle detection, task vehicle detection and task degree updating;
s3, the task allocation stage comprises: matching tasks according to task requirements, and screening the task matching degree of newly-added and idle vehicles and drivers;
s4, the task determining stage comprises: the matched task is issued to a driver terminal, and feedback is given after the driver confirms the task;
s5, the task completion stage comprises: and the driver starts according to the matched task, and each station gives task flow feedback to the control center through the terminal until the client terminal confirms that the task is completed, and the driver returns.
In the task query stage in S1, the system queries the stock emergency task first, then queries the newly added emergency task, and if there is no emergency task, queries the stock task and then queries the newly added task.
Preferably: and in the step S2, the vehicle detection preferentially detects the vehicle in the task, meanwhile, the task progress of the vehicle in the task is updated, then, the idle vehicle displayed in the system is inquired, and finally, the newly added vehicle on the day is detected.
Preferably: in the task allocation stage of the S3, emergency tasks are allocated preferentially, if the emergency tasks do not exist, stock tasks are allocated preferentially, new tasks are allocated, matching is performed according to task requirements, task distances and positions and situations of drivers and vehicles, drivers and vehicles closest to the starting point are matched preferentially, and the tasks are spread sequentially.
Preferably: in the task determining stage in the S4, the system issues the task and the requirement to the driver terminal, the driver gives feedback after inquiring the task route and the requirement, if the driver agrees to the task, the matched task is removed from the inventory task, if the driver disagrees with the task, the stage returns to the S3, and if the driver terminal does not answer within a certain time, the driver is acquiescent to reject the task.
Preferably: in the task completion stage of S5, the driver in the task needs to complete the current driving mileage and the task requirement on time, and simultaneously gives feedback to the control center through the terminal, and the control center simultaneously updates the task process until the task is completed, and the client determines that the driver returns.
Preferably: the system comprises a task receiving module, a screening module, a matching module, a task distribution module and a flow follow-up module, and is characterized in that: the task receiving module is responsible for receiving new tasks input from the outside and bringing the new tasks into the system inventory task, the screening module is responsible for screening emergency tasks and screening drivers and vehicles which cannot be subjected to task neutralization, the matching module is responsible for matching proper vehicles and drivers according to task requirements and emergency degrees, the task distributing module is responsible for issuing the matched tasks to a driver terminal and waiting for confirmation of the driver terminal, and the flow following module is responsible for following the tasks in progress, updating task progress and following inventory task time.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, the task receiving module receives, classifies and summarizes the newly added logistics tasks, the newly added tasks are summarized into the inventory tasks, then the screening module screens out the emergency tasks, the matching is preferentially completed, the timeliness of logistics transportation is increased, and meanwhile, the flow tracking module carries out full-line tracking on the whole logistics tasks, thereby ensuring the smooth completion of the tasks and facilitating the confirmation of the task progress of customers.
2. In the invention, the most preferable vehicle and task personnel are matched for each task through the matching module, the task requirement and the route are sent to the personnel terminal, after the personnel confirm the task, the task is fed back to the system, the task is established, each idle vehicle and personnel can be ensured to receive the task, and the waste of logistics resources is avoided.
When the system is used in a logistics transportation system, logistics transportation resources can be allocated well, the information interaction of a driver, a control center and a client is completed while resource waste is avoided, and smooth completion of tasks is ensured.
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FIG. 1 is a schematic view of the flow structure of the present invention;
FIG. 2 is a schematic diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, in the embodiment of the present invention, a logistics resource scheduling method based on the internet of things and an internet of things system thereof include a task query stage, a vehicle detection stage, a task allocation stage, a task determination stage, and a task completion stage,
s1, the task inquiry stage comprises: inquiring stock tasks, adding new task records and inquiring;
s2, the vehicle detection stage comprises: newly adding vehicle record and detection, idle vehicle detection, task vehicle detection and task degree updating;
s3, the task allocation stage comprises: matching tasks according to task requirements, and screening the task matching degree of newly-added and idle vehicles and drivers;
s4, the task determining stage comprises: the matched task is issued to a driver terminal, and feedback is given after the driver confirms the task;
s5, the task completion stage comprises: and the driver starts according to the matched task, and each station gives task flow feedback to the control center through the terminal until the client terminal confirms that the task is completed, and the driver returns.
In the task query stage in S1, the system queries the stock emergency task first, then queries the newly added emergency task, and if there is no emergency task, queries the stock task and then queries the newly added task.
And S2, detecting the vehicle in the task in priority, updating the task progress of the vehicle in the task, inquiring the idle vehicle displayed in the system, and finally detecting the newly added vehicle on the same day.
In the task distribution stage of S3, emergency tasks are preferentially distributed, if there is no emergency task, stock tasks are preferentially distributed, then newly added tasks are distributed, and matching is performed according to task requirements, task distances, positions and situations of drivers and vehicles, and drivers and vehicles closest to the starting point are preferentially matched and spread in sequence.
In the task determining stage in the S4, the system issues the task and the requirement to the driver terminal, the feedback is given after the driver inquires the task route and the requirement, if the driver agrees the task, the matched task is removed from the inventory task, if the driver disagrees the task, the step returns to the S3, and if the driver terminal does not answer within a certain time, the driver is acquiescent to reject the task.
In the task completion stage of S5, the driver in the task needs to complete the current driving mileage and the task requirement on time, and simultaneously gives feedback to the control center through the terminal, and the control center simultaneously updates the task process until the task is completed, and the client determines that the driver returns.
The system comprises a task receiving module, a screening module, a matching module, a task distribution module and a flow follow-up module, and is characterized in that: the task receiving module is responsible for receiving new tasks input from the outside and bringing the new tasks into the system inventory task, the screening module is responsible for screening emergency tasks and screening drivers and vehicles which cannot be subjected to task neutralization, the matching module is responsible for matching proper vehicles and drivers according to task requirements and emergency degrees, the task distributing module is responsible for issuing the matched tasks to a driver terminal, the process following module is responsible for following the tasks in progress after confirmation of the driver terminal, task progress is updated, and inventory task time is followed.
The working principle of the invention is as follows: when the system is used for scheduling the logistics resources, only the newly added tasks are input into the control center every day through the task receiving module, the control center classifies and summarizes the newly added tasks into the stock tasks, then the tasks are sorted according to the time consumption, the emergency degree and the like of the tasks, proper vehicles and personnel are screened according to the sorting, after the people select and screen, the control center issues the task to the personnel terminal, after the personnel check the task requirement, the task reward and the task route, if the task is received, then the information is fed back to the control center through the terminal, if the task is not accepted or no response is given for a long time, the control center returns to the screening module, after the refused personnel and the personnel in the task are eliminated, and (4) carrying out secondary screening on idle personnel, starting the task after the personnel receive the task, and feeding back the daily stroke to the control center strictly according to the task requirement until the client determines that the task is completed.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. A logistics resource scheduling method based on the Internet of things and an Internet of things system thereof comprise a task query stage, a vehicle detection stage, a task allocation stage, a task determination stage and a task completion stage, and are characterized in that:
s1, the task inquiry stage comprises: inquiring stock tasks, adding new task records and inquiring;
s2, the vehicle detection stage comprises: newly adding vehicle record and detection, idle vehicle detection, task vehicle detection and task degree updating;
s3, the task allocation stage comprises: matching tasks according to task requirements, and screening the task matching degree of newly-added and idle vehicles and drivers;
s4, the task determining stage comprises: the matched task is issued to a driver terminal, and feedback is given after the driver confirms the task;
s5, the task completion stage comprises: and the driver starts according to the matched task, and each station gives task flow feedback to the control center through the terminal until the client terminal confirms that the task is completed, and the driver returns.
2. The logistics resource scheduling method based on the internet of things and the internet of things system thereof as claimed in claim 1, wherein: in the task query stage in S1, the system queries the stock emergency task first, then queries the newly added emergency task, and if there is no emergency task, queries the stock task and then queries the newly added task.
3. The logistics resource scheduling method based on the internet of things and the internet of things system thereof as claimed in claim 1, wherein: and in the step S2, the vehicle detection preferentially detects the vehicle in the task, meanwhile, the task progress of the vehicle in the task is updated, then, the idle vehicle displayed in the system is inquired, and finally, the newly added vehicle on the day is detected.
4. The logistics resource scheduling method based on the internet of things and the internet of things system thereof as claimed in claim 1, wherein: in the task allocation stage of the S3, emergency tasks are allocated preferentially, if the emergency tasks do not exist, stock tasks are allocated preferentially, new tasks are allocated, matching is performed according to task requirements, task distances and positions and situations of drivers and vehicles, drivers and vehicles closest to the starting point are matched preferentially, and the tasks are spread sequentially.
5. The logistics resource scheduling method based on the internet of things and the internet of things system thereof as claimed in claim 1, wherein: in the task determining stage in the S4, the system issues the task and the requirement to the driver terminal, the driver gives feedback after inquiring the task route and the requirement, if the driver agrees to the task, the matched task is removed from the inventory task, if the driver disagrees with the task, the stage returns to the S3, and if the driver terminal does not answer within a certain time, the driver is acquiescent to reject the task.
6. The logistics resource scheduling method based on the internet of things and the internet of things system thereof as claimed in claim 1, wherein: in the task completion stage of S5, the driver in the task needs to complete the current driving mileage and the task requirement on time, and simultaneously gives feedback to the control center through the terminal, and the control center simultaneously updates the task process until the task is completed, and the client determines that the driver returns.
7. The logistics resource scheduling method based on the internet of things and the internet of things system thereof as claimed in claim 1, wherein the system comprises a task receiving module, a screening module, a matching module, a task allocation module and a flow follow-up module, and is characterized in that: the task receiving module is responsible for receiving new tasks input from the outside and bringing the new tasks into the system inventory task, the screening module is responsible for screening emergency tasks and screening drivers and vehicles which cannot be subjected to task neutralization, the matching module is responsible for matching proper vehicles and drivers according to task requirements and emergency degrees, the task distributing module is responsible for issuing the matched tasks to a driver terminal and waiting for confirmation of the driver terminal, and the flow following module is responsible for following the tasks in progress, updating task progress and following inventory task time.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020028112A (en) * | 2000-10-07 | 2002-04-16 | 남궁석 | Physical distribution delivering service server system and service method thereof using internet |
| CN105894184A (en) * | 2016-03-30 | 2016-08-24 | 杭州米阳科技有限公司 | Combined logistics scheduling method, platform and system |
| CN109670684A (en) * | 2018-12-03 | 2019-04-23 | 北京顺丰同城科技有限公司 | The dispatching method and electronic equipment of goods stock based on time window |
| CN110728480A (en) * | 2019-10-16 | 2020-01-24 | 广州宝钢南方贸易有限公司 | Transportation scheduling device based on mobile positioning |
| CN111539676A (en) * | 2020-05-12 | 2020-08-14 | 香港理工大学 | Network entity logistics system suitable for cross-border electronic commerce |
| CN111738570A (en) * | 2020-06-05 | 2020-10-02 | 苏州华易通物流有限公司 | Logistics management system based on internet |
| CN112434980A (en) * | 2020-12-17 | 2021-03-02 | 深圳航天智慧城市系统技术研究院有限公司 | Efficient automatic dispatching method and system for public service vehicles |
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- 2021-06-09 CN CN202110640912.5A patent/CN113344529A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020028112A (en) * | 2000-10-07 | 2002-04-16 | 남궁석 | Physical distribution delivering service server system and service method thereof using internet |
| CN105894184A (en) * | 2016-03-30 | 2016-08-24 | 杭州米阳科技有限公司 | Combined logistics scheduling method, platform and system |
| CN109670684A (en) * | 2018-12-03 | 2019-04-23 | 北京顺丰同城科技有限公司 | The dispatching method and electronic equipment of goods stock based on time window |
| CN110728480A (en) * | 2019-10-16 | 2020-01-24 | 广州宝钢南方贸易有限公司 | Transportation scheduling device based on mobile positioning |
| CN111539676A (en) * | 2020-05-12 | 2020-08-14 | 香港理工大学 | Network entity logistics system suitable for cross-border electronic commerce |
| CN111738570A (en) * | 2020-06-05 | 2020-10-02 | 苏州华易通物流有限公司 | Logistics management system based on internet |
| CN112434980A (en) * | 2020-12-17 | 2021-03-02 | 深圳航天智慧城市系统技术研究院有限公司 | Efficient automatic dispatching method and system for public service vehicles |
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