CN108229882B - Income prediction system for logistics company - Google Patents
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Abstract
The invention relates to the technical field of enterprise management, in particular to a income prediction system for a logistics company, which comprises a background server and a plurality of vehicle-mounted acquisition terminals, wherein the background server is in wireless communication with the vehicle-mounted acquisition terminals, each vehicle-mounted acquisition terminal comprises a load detection module, a state module, a control module and a storage module, the background server comprises a prediction module and a processing module, and the load detection module is used for detecting load information of a vehicle on a logistics transportation route and sending the load information to the control module; the control module is used for acquiring load information and matching the load of the control module with the state information in the state module; the estimation module is used for comparing the estimated income of the processing module with an income threshold value. The method and the device can estimate the income according to the detected no-load condition of the return journey of the vehicle, and improve the accuracy of the income estimation.
Description
Technical Field
The invention relates to the technical field of enterprise management, in particular to a revenue estimation system for a logistics company.
Background
The transportation logistics is to send the object to the destination according to the requirement, and then the vehicle returns to the logistics company to finish the transportation of the object. If the vehicle does not receive new delivery goods at the destination of the delivery object, the vehicle returns to the logistics company in an idle way, and the travel of the vehicle causes economic loss to the logistics company when the vehicle returns in an idle way.
After the logistics company plans a new logistics route according to a transportation route in recent years, the logistics company estimates the income of the planned new logistics route, and therefore the reasonability of the planned logistics route is evaluated. At present, logistics companies estimate the income by maximizing benefits, that is, part of losses in the transportation process are not considered, for example, when a vehicle returns without load, the transportation process of the vehicle without load is free of income, when the number of times of the vehicle without load is too many, the loss of the logistics companies is increased, the accuracy of income estimation is reduced, and great risks are brought to the logistics companies.
Disclosure of Invention
The invention aims to provide a income prediction system for logistics companies, which is used for carrying out income prediction according to detected no-load conditions of vehicle return.
The income pre-estimation system for the logistics company comprises a background server and a plurality of vehicle-mounted acquisition terminals, wherein the background server is in wireless communication with the vehicle-mounted acquisition terminals, each vehicle-mounted acquisition terminal comprises a load detection module, a state module, a control module and a storage module, and the background server comprises a pre-estimation module and a processing module;
the load detection module is used for detecting the load information of the vehicle on the logistics transportation route and sending the load information to the control module;
the state module is used for adding state information to each return transportation route of the vehicle according to the load of the vehicle, and the state information comprises full-load information and no-load information;
the control module is used for acquiring load information of the load detection module in the route according to preset route information, the control module matches corresponding state information of the route in the state module according to the load information, and when the state information is no-load information, the control module sends the state information and the route information to the background server;
the storage module is used for storing historical transportation routes and corresponding state information of the vehicles;
the prediction module is used for comparing the prediction income of the processing module with an income threshold value and sending a warning signal to the processing module when the prediction income is smaller than the income threshold value;
the processing module is used for counting the control times of the state information, estimating the income of the bill according to each acquired transportation route and the corresponding state information of the transportation route, subtracting the loss corresponding to the idle times from the sum of the estimated income of the bill to obtain the estimated income, sending the estimated income to the estimation module for comparison by the processing module, and giving an early warning by the processing module when receiving the warning signal.
The working principle and the beneficial effects of the scheme are as follows: when the vehicle is in logistics transportation, if the vehicle returns after reaching a destination, the logistics company has economic loss, so when the logistics company makes a plan of a transportation route, the logistics company can estimate economic benefits brought by the transportation route.
When the logistics company carries out income prediction, the processing module obtains the predicted income of each route according to the transportation route and the corresponding state thereof, for example, the processing module is preset with the historical transportation unit price of each logistics route, the transportation unit price from A place to B place is X yuan, the transportation unit price from B place to A place is Y yuan, the no-load loss from B place to A place is Z yuan, the no-load frequency is N times, when the income prediction is carried out, the processing module multiplies the historical transportation unit price of each route by the transportation frequency when the A place and the B place are fully loaded and sums up, then subtracts the no-load frequency by the no-load loss to finally obtain the predicted income of each route, the prediction module compares the predicted income, the income threshold value is the income value corresponding to the number of times set according to the planning of the logistics company, when the predicted income is less than the income threshold value, the prediction module sends a warning signal to the processing module, the processing module carries out early warning according to the warning signal, so as to remind the logistics company that the plan of the transportation route can not reach the expected economic benefit.
The load detection module directly obtains the load of the vehicle through the gravity sensor arranged at the bottom of the container when detecting the load of the vehicle, for example, the load of the vehicle in a transportation route is no load when the weight of the vehicle is the self weight of the vehicle, and the load of the vehicle in a transportation route is full load when the weight of the vehicle is larger than the self weight of the vehicle, so that the no-load condition is considered when the income of the logistics company is estimated, the loss caused by no load is reduced, the accuracy of the logistics company when estimating the planned logistics route is improved, and the plan of the logistics route is more accurate.
Further, the vehicle-mounted acquisition terminal further comprises a timing module, the timing module sends an end signal to the control module after timing is finished, and the control module sends the transportation route and the corresponding state information in the storage module to the background server according to the end signal.
The freight line of the logistics company cannot be the transportation of a short line generally, and the time for completing one transportation may reach several days, so that the relatively complete logistics information can be acquired only by acquiring for a long time, the timing module sends an end signal to the control module at regular time, for example, the timing module can send the end signal once every four months, the control module sends the acquired transportation line and the corresponding state information to the background server at regular time, the amount of the acquired information is large, the acquired information is more complete, and the accuracy of income estimation through the acquired information analysis is improved.
The background server further comprises a collecting terminal at the freight port, the background server further comprises a statistical module, the statistical module is further used for calculating the idle times of the timing time period of the timing module, the processing module compares the idle times with a time threshold, and when the idle times are larger than the time threshold, the processing module sends a collecting signal to the collecting terminal.
The method comprises the steps of counting the idle load times in a period of time, when the idle load times are too large, sending a collecting signal to a collecting terminal of each freight port at a return starting place with more idle load times by a processing module, and collecting freight information of the place by the collecting terminal, so that the reason of more idle load times is analyzed, and the influence on income caused by the idle load is completely known.
Further, the collecting terminal comprises a transceiver module and a shooting module, the transceiver module is used for communicating with the background server, the shooting module is used for collecting logistics flow information at a return starting freight port with the idle times larger than a time threshold, and the logistics flow information collected by the collecting terminal is sent to the background server through the transceiver module.
The logistics flow information of each freight port at the starting place of the no-load return is collected, the logistics flow information can be the traffic flow of other logistics companies which deliver goods from the freight ports, meanwhile, the license plate in the image information obtained by the shooting module is identified for carrying out traffic flow statistics, and the staff of the background server judges the no-load situation from the logistics flow information, if the goods receiving place is not suitable, the resource distribution is unreasonable, and the no-load situation caused by the fact that the goods receiving transfer place of the logistics company is not suitable is prevented.
Further, the vehicle-mounted acquisition terminal further comprises a driving information acquisition module, and the control module controls the driving information acquisition module to acquire the voice image information of the driver according to the load information.
The method comprises the steps of collecting voice image information of a driver when a vehicle returns to a no-load state, acquiring whether the driver has a tendency or behavior of refusing logistics business from the voice image information, for example, acquiring keywords 'no-go' and 'no-pull' from the voice information, checking whether the no-load return condition is caused by the driver, and avoiding misjudging the transportation route as less transportation business.
Further, the background server further comprises a consumption level module, and the consumption level module is used for acquiring economic information of a return journey starting place of the transportation route.
When the return no-load times of a certain place are found to be large, the economic information of the return starting place is obtained, and the consumption level information is obtained from the economic information, so that the return no-load caused by unreasonable delivery price is avoided, and the misjudgment is reduced.
Drawings
Fig. 1 is a schematic block diagram of an embodiment of the revenue estimation system for logistics companies according to the present invention.
Detailed Description
The following is a more detailed description of the present invention with reference to specific embodiments.
A income prediction system for logistics companies, as shown in figure 1, includes backend server and a plurality of on-vehicle collection terminal, and a plurality of on-vehicle collection terminal set up respectively on the vehicle of different transport routes, and backend server and on-vehicle collection terminal improve 3G mobile communication network and carry out wireless communication.
The vehicle-mounted acquisition terminal comprises a load detection module, a state module, a control module, a storage module, a timing module and a driving information acquisition module, and the background server comprises an estimation module, a processing module, a statistic module and a consumption level module.
The load detection module is used for detecting load information of the vehicle on the logistics transportation route and sending the load information to the control module, the load information is obtained through a gravity sensor arranged at the bottom of a container of the vehicle, and when the gravity sensor detects weight, the load detection module sends the load information to the control module.
Route information is preset in the control module, for example, a driving route of the vehicle can be acquired through GPS positioning, and the route information can be from the A place to the B place or from the B place to the A place, so that the driving and returning of the vehicle are represented.
The state module is used for adding state information to each return transportation route of the vehicle according to the load of the vehicle, wherein the state information comprises full-load information and no-load information, for example, when the gravity sensor detects the weight, the state information is the full-load information, and when the gravity sensor does not detect the weight, the state information is the no-load information.
The control module is used for acquiring load information of the load detection module in the route according to preset route information, the control module matches corresponding state information of the route in the state module according to the load information, and when the state information is no-load information, the control module sends the state information and the route information to the background server.
The storage module is used for storing historical transportation routes of the vehicle and corresponding state information, for example, when the vehicle is detected to be unloaded on one route, the information stored by the storage module is 'B to A ground, unloaded'.
The timing module sends an end signal to the control module after timing is finished, the control module sends the transportation route and the corresponding state information in the storage module to the background server according to the end signal, for example, a 3G communication unit can be arranged in the control module, and various information is sent to the background server through the 3G communication unit.
The driving information acquisition module is used for acquiring voice image information of a driver according to the control of the control module, and the control module controls the driving information acquisition module to acquire the voice image information according to the load information.
The estimation module is used for comparing the estimated income of the processing module with an income threshold, the estimation module sends a warning signal to the processing module when the estimated income is smaller than the income threshold, the income threshold can be set as the expected income of the logistics company, for example, the expected income of the logistics company in a certain year is X ten thousand yuan, and the income threshold can be set as X.
The processing module is used for counting the control times of the state information, estimating the income of the bill according to each acquired transportation route and the corresponding state information of the transportation route, subtracting the loss corresponding to the idle times from the sum of the estimated income of the bill to obtain the estimated income, sending the estimated income to the estimation module for comparison by the processing module, and giving an early warning by the processing module when receiving the warning signal.
The statistical module is used for calculating the idle load times of the timing time period of the timing module, the statistical module automatically counts and adds one when recognizing a piece of information with 'idle load', the processing module compares the idle load times with a time threshold, and when the idle load times are larger than the time threshold, the processing module sends a collection signal to the collection terminal.
The consumption level module is used for acquiring economic information of a return starting place of the transportation route, for example, for economic information of different places, acquiring information of average consumption level in the economic information, and allowing a logistics company to consider pricing information of different places when estimating and receiving, so as to avoid too high pricing and too many idle times.
The method comprises the steps that a collecting terminal is arranged at a return empty initial freight transportation port and comprises a transceiving module and a shooting module, the transceiving module is used for communicating with a background server, the shooting module is used for collecting logistics flow information of the return initial freight transportation port with empty times larger than a time threshold value, for example, license plate numbers of vehicles with other logistics company names are shot, in-out information of the vehicles with other logistics company names is used as logistics flow information, and the logistics flow information collected by the collecting terminal is sent to the background server through the transceiving module.
Claims (5)
1. The income pre-estimation system for the logistics company comprises a background server and a plurality of vehicle-mounted acquisition terminals, wherein the background server is in wireless communication with the vehicle-mounted acquisition terminals, each vehicle-mounted acquisition terminal comprises a load detection module, a state module, a control module and a storage module, and the background server comprises a pre-estimation module and a processing module;
the load detection module is used for detecting the load information of the vehicle on the logistics transportation route and sending the load information to the control module;
the state module is used for adding state information to each transportation route of the vehicle according to the vehicle load information, and the state information comprises full load information and no load information;
the control module is used for acquiring load information of the load detection module in the route according to preset route information, matching the state information corresponding to the transportation route in the state module according to the load information, and sending the state information and the route information to the background server when the state information is no-load information;
the storage module is used for storing historical transportation routes and corresponding state information of the vehicles;
the processing module estimates the income of each transportation route according to the acquired historical transportation unit price of each transportation route multiplied by the transportation times when the transportation route is fully loaded, subtracts the loss corresponding to the no-load times from the income of each transportation route to obtain the estimated income of each transportation route, sends the estimated income to the estimation module for comparison, and warns when receiving the warning signal sent by the estimation module;
the prediction module is used for comparing the prediction income of the processing module with an income threshold value and sending a warning signal to the processing module when the prediction income is smaller than the income threshold value;
the background server further comprises a consumption level module, and when the return no-load times are larger than a time threshold value, the consumption level module is used for acquiring economic information of a return starting place of the transportation route.
2. The revenue estimation system for logistics companies as set forth in claim 1, wherein: the vehicle-mounted acquisition terminal further comprises a timing module, the timing module sends an end signal to the control module after timing is finished, and the control module sends the transportation route and the corresponding state information in the storage module to the background server according to the end signal.
3. The revenue estimation system for the logistics company of claim 2, wherein: the background server further comprises a collecting terminal at the freight port, the background server further comprises a statistical module, the statistical module is further used for calculating the idle times of the timing time period of the timing module, the processing module compares the idle times with a time threshold, and when the idle times are larger than the time threshold, the processing module sends a collecting signal to the collecting terminal.
4. The revenue estimation system for logistics companies as set forth in claim 3, wherein: the collecting terminal comprises a transceiving module and a shooting module, the transceiving module is used for communicating with the background server, the shooting module is used for collecting logistics flow information of a return starting freight port with the idle frequency larger than a frequency threshold, and the logistics flow information collected by the collecting terminal is sent to the background server through the transceiving module.
5. The revenue estimation system for logistics companies as set forth in claim 3, wherein: the vehicle-mounted acquisition terminal further comprises a driving information acquisition module, and the control module controls the driving information acquisition module to acquire the voice image information of the driver according to the load information.
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| CN108960939A (en) * | 2018-08-15 | 2018-12-07 | 中国农业银行股份有限公司 | It is a kind of based on deep learning to public client's revenue decline prediction technique and device |
| CN111382907B (en) * | 2020-03-10 | 2024-06-14 | 上海东普信息科技有限公司 | Method, system, computer device and storage medium for planning vehicle line |
| CN113470410B (en) * | 2021-06-29 | 2022-11-08 | 山东旗帜信息有限公司 | Drainage cargo allocation method and system for expressway |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101840638A (en) * | 2010-05-13 | 2010-09-22 | 杭州普乐科技有限公司 | Traffic signal controller and traffic signal control method |
| CN101859416A (en) * | 2010-06-25 | 2010-10-13 | 冀中能源峰峰集团有限公司 | Method and system for monitoring budget cost of coal enterprises |
| CN103577925A (en) * | 2013-07-26 | 2014-02-12 | 江苏辉源供应链管理有限公司 | Logistics intelligent settlement system |
| CN104460477A (en) * | 2014-11-07 | 2015-03-25 | 武汉英思工程科技股份有限公司 | Detection system and method for loading conditions and transportation times of self-discharging truck |
| CN105590346A (en) * | 2016-02-18 | 2016-05-18 | 华南理工大学 | Tolling highway network traffic information acquisition and induction system based on path identification system |
| CN106203700A (en) * | 2016-07-11 | 2016-12-07 | 中联物流（中国）有限公司 | The logistics transportation scheme of logistic management system determines method and system |
-
2017
- 2017-12-27 CN CN201711451006.0A patent/CN108229882B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101840638A (en) * | 2010-05-13 | 2010-09-22 | 杭州普乐科技有限公司 | Traffic signal controller and traffic signal control method |
| CN101859416A (en) * | 2010-06-25 | 2010-10-13 | 冀中能源峰峰集团有限公司 | Method and system for monitoring budget cost of coal enterprises |
| CN103577925A (en) * | 2013-07-26 | 2014-02-12 | 江苏辉源供应链管理有限公司 | Logistics intelligent settlement system |
| CN104460477A (en) * | 2014-11-07 | 2015-03-25 | 武汉英思工程科技股份有限公司 | Detection system and method for loading conditions and transportation times of self-discharging truck |
| CN105590346A (en) * | 2016-02-18 | 2016-05-18 | 华南理工大学 | Tolling highway network traffic information acquisition and induction system based on path identification system |
| CN106203700A (en) * | 2016-07-11 | 2016-12-07 | 中联物流（中国）有限公司 | The logistics transportation scheme of logistic management system determines method and system |
Non-Patent Citations (1)
| Title |
|---|
| "作业成本法在快递行业的应用浅析——以顺丰公司为例"";张海燕;《物流商论》;20151231;第93-95页 * |
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