CN117557179A - Smart city distribution platform based on cluster intelligence - Google Patents
Smart city distribution platform based on cluster intelligence Download PDFInfo
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- CN117557179A CN117557179A CN202311547258.9A CN202311547258A CN117557179A CN 117557179 A CN117557179 A CN 117557179A CN 202311547258 A CN202311547258 A CN 202311547258A CN 117557179 A CN117557179 A CN 117557179A
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- 238000007726 management method Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 16
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- 230000009977 dual effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
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- G06Q30/0635—Processing of requisition or of purchase orders
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Abstract
The invention relates to the technical field of distribution platforms, in particular to a smart city distribution platform based on cluster intelligence, which comprises the following steps: receiving a customer order by a delivery order generation module, and collecting information of a picking point and a delivery point of a customer to generate a delivery order; inputting the order information into a rider screening module, screening proper riders according to the order information by the rider screening module, and pushing to complete dispatch; the order combination module is used for conveniently carrying out distribution management on the orders bound by each rider; the order list and the information are input into a route planning module, the order list is used for planning a proper delivery route, the delivery route time consumption and the fetching and getting-up time are integrated in a quantified mode by a dispatch quantity quantification module, and the upper limit is set to limit the time required by each rider to complete all orders. The invention has the advantages that: the distribution platform can optimize order distribution and route planning, reduce the time consumed by a rider in order selection and route planning, improve distribution efficiency and fully utilize distribution resources.
Description
Technical Field
The invention relates to the technical field of distribution platforms, in particular to a smart city distribution platform based on cluster intelligence.
Background
The distribution is a reduction of logistics or the whole movement of logistics in a certain small range, and the zero-order distribution is a distribution mode commonly used by common users in cities, and because the taking point and the distribution point of the zero-order distribution are not fixed, in the distribution, the distribution efficiency can be greatly improved by adopting a smart city distribution platform capable of fully utilizing distribution resources, and the utilization rate of the distribution resources is improved.
The transfer platform, the distribution system and the distribution method disclosed in the Chinese patent CN202011504466.7 are all completed between a building ceiling where a user is located and a building roof in the conveying process, and do not need to pass through a park where the user is located, so that the distribution route is simplified, the working environment of a distribution tool is simplified, and the distribution efficiency can be improved to a certain extent. Meanwhile, as the parking platform is arranged on the building platform of the user, the interference of the delivery tool to the user in the delivery process can be reduced, but the transfer platform, the delivery system and the delivery method mainly adopt the physical platform to deliver the articles, the delivery range is smaller, and the coordination effect on delivery resources in a larger range is poorer.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, provides a smart city distribution platform based on cluster intelligence, and effectively solves the defects of the prior art.
The aim of the invention is achieved by the following technical scheme:
a cluster intelligence-based smart city distribution platform comprising the steps of:
1) Receiving a customer order by a delivery order generation module, and collecting information of a picking point and a delivery point of a customer to generate a delivery order;
2) Inputting the order information into a rider screening module, screening proper riders according to the order information by the rider screening module, and pushing to complete dispatch;
3) The order combination module is used for conveniently carrying out distribution management on the orders bound by each rider;
4) Inputting the order list and the information into a route planning module, and planning a proper delivery route by the order list;
5) The delivery route time consumption and the fetching and getting time are integrated in a quantified mode through a delivery quantity quantification module, and an upper limit is set to limit the time required by each rider to complete all orders;
6) And carrying out distribution according to the order information.
Optionally, the rider screening module in the step 2) firstly screens out the rider close to the order picking point and the rider who is delivering and passing through the picking point along the way, the rider screening module pushes order information to the screened riders, the rider screening module calculates the overlap ratio of each rider delivering route and the order delivering route, and displays the overlap ratio of the order and the rider route in the push information, the rider judges whether to pick up an order according to the order information and the route overlap ratio information, and distributes the order to the rider who takes the order first, and the rider who takes the order first binds with the order to add the order list and starts delivering.
The technical scheme is adopted: the method has the advantages that the primarily adapted riders are screened at the distance between the picking points and the delivery path of the picking points, so that the riders receiving the orders can be more matched with the order information, the delivery efficiency of the riders is improved, delivery sources are saved, the line overlap ratio with the orders is calculated according to the delivery route of each rider, the riders can intuitively judge whether the orders are suitable for the current delivery route of the riders, when receiving new order information, the riders can save the time for planning the order route and comparing the order route with the delivery route of the riders, the judgment time required by the order receiving of the riders is shorter, the delivery efficiency of the riders is improved, the order receiving time of order delivery is also improved, and the delivery resource utilization rate of the platform is improved.
Optionally, the order combination module in the step 3) gathers the orders bound by each rider, sorts the orders according to the remaining delivery time to generate a list, and plans a delivery route according to the orders.
The technical scheme is adopted: through displaying the order information assembly list on the mobile equipment of each rider, the rider can reasonably plan the distribution time and distribution mode according to the summarized information, and the overtime or missing condition caused by the fact that the order is not too much in the distribution process is reduced.
Optionally, the route planning module in step 4 performs route planning of multiple combinations on orders in the rider order list, the route planning module screens the specified planned route, the route planning module screens the planned route of which all orders are not distributed overtime, calculates time spent for screening out the order distribution, and selects a route planning scheme with the shortest distribution duration to recommend to the rider.
The technical scheme is adopted: the distribution tasks of the order list are combined and planned through the computer, whether overtime and the route duration are used as a double screening scheme, the distribution route which can avoid overtime of order distribution and has higher distribution efficiency is screened out, the time of planning the route by a rider is saved, and the distribution efficiency of the rider is improved.
Optionally, the order sending quantity quantization module in step 5) performs quantization processing on the optimal route time consumption at the planning place, and calculates the total distribution time consumption by converting the time consumption of each time of taking and loading in the distribution route into the time consumption of taking and loading in the distribution route, wherein the order sending quantity quantization module sets the upper limit of the total time consumption of a single rider binding order for a rider, when the total time consumption of the binding order of the rider exceeds the upper limit, the order pushing function is closed, when the total time consumption of the binding order of the rider does not exceed the upper limit, the order is normally pushed, and after the new order is bound, the order is returned to the order combining module for recombination.
The technical scheme is adopted: the method comprises the steps of quantifying the distance, taking objects and going up the gate in the delivery process of a rider, calculating the total consumption required by the rider to complete the order of an order list, limiting the upper limit of the time consumption of the order of the rider, enabling the order in the rider to complete delivery within a set time, avoiding the condition that the scoring of a delivery platform is influenced due to the fact that part of orders are not completed on time due to too much taking of the order by the rider, and avoiding the condition that the delivery pressure of the rider is too large and potential safety hazards exist due to the fact that traffic rules are not complied with, so that the delivery platform can optimize the order distribution and route planning, reduce the time consumed by the rider in selecting the order and planning the route, improve the delivery efficiency and fully utilize delivery resources.
The invention has the following advantages:
1. according to the intelligent city distribution platform based on the cluster intelligence, the primarily adapted riders are screened at the distance between the taking points and the delivery path of the taking points, so that the riders receiving the orders can be more matched with the order information, the delivery efficiency of the riders is improved, the delivery source is saved, the line coincidence degree with the orders is calculated according to the delivery route of each rider, the riders can intuitively judge whether the orders are suitable for the current delivery route of the riders, when the riders receive new order information, the time for planning the order route and comparing the order route with the self delivery route can be saved, the judgment time required by the riders for receiving the orders is shorter, the delivery efficiency of the riders is improved, the order receiving time of the order delivery is also improved, and the delivery resource utilization rate of the platform is improved.
2. According to the intelligent city distribution platform based on the cluster intelligence, the order information assembly list is displayed on the mobile equipment of each rider, the riders can reasonably plan distribution time and distribution modes according to the summarized information, overtime or missing delivery caused by the fact that orders are not too much in the distribution process is reduced, a distribution task of the order list is subjected to combined planning through a computer, whether overtime and route duration are used as a double screening scheme, distribution routes which can avoid overtime of order distribution and have quick distribution efficiency are screened out, the time of the route planning of the riders is saved, and the distribution efficiency of the riders is improved.
3. According to the intelligent city distribution platform based on the cluster intelligence, the total consumption required by the order of the order list is calculated by quantifying the distance, the object taking and the entrance of the rider in the distribution process of the rider, and the time-consuming upper limit of the order of the rider is limited, so that the order in the rider can be distributed within a specified time, the situation that the scoring of the distribution platform is influenced due to the fact that part of orders are not completed on time due to too many orders taken by the rider is avoided, the situation that the distribution pressure of the rider is too high and potential safety hazards exist due to the fact that traffic rules are not observed is avoided, the distribution platform can optimize the distribution of the order and the route planning, the time consumed by the rider in selecting the order and planning the route is reduced, the distribution efficiency is improved, and distribution resources are fully utilized.
Drawings
FIG. 1 is a schematic diagram of the system operation of the present invention;
FIG. 2 is a system schematic of a rider screening module of the present invention;
FIG. 3 is a system diagram of an order combining module according to the present invention;
FIG. 4 is a system diagram of a route planning module according to the present invention;
fig. 5 is a system schematic diagram of the dispatch quantifying module according to the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
As shown in fig. 1 to 5, a smart city distribution platform based on cluster intelligence includes the following steps:
1) Receiving a customer order by a delivery order generation module, and collecting information of a picking point and a delivery point of a customer to generate a delivery order;
2) Inputting the order information into a rider screening module, screening proper riders according to the order information by the rider screening module, and pushing to complete dispatch;
3) The order combination module is used for conveniently carrying out distribution management on the orders bound by each rider;
4) Inputting the order list and the information into a route planning module, and planning a proper delivery route by the order list;
5) The delivery route time consumption and the fetching and getting time are integrated in a quantified mode through a delivery quantity quantification module, and an upper limit is set to limit the time required by each rider to complete all orders;
6) And carrying out distribution according to the order information.
Example 1: the rider screening module in the step 2) firstly screens out riders close to the order taking point and riders which are distributed and pass through the taking point along the way, the rider screening module pushes order information to the screened riders, the rider screening module calculates the overlap ratio of each rider's on-distribution route and the order distribution route, the overlap ratio of the order and the rider's route is displayed in the push information, the rider judges whether to take a bill according to the order information and the route overlap ratio information, the order is distributed to the first order taking rider, the first order taking rider and the order are bound to be added into an order list and the distribution is started, the method has the advantages that the primarily adapted riders are screened at the distance between the picking points and the delivery path of the picking points, so that the riders receiving the orders can be more matched with the order information, the delivery efficiency of the riders is improved, delivery sources are saved, the line overlap ratio with the orders is calculated according to the delivery route of each rider, the riders can intuitively judge whether the orders are suitable for the current delivery route of the riders, when receiving new order information, the riders can save the time for planning the order route and comparing the order route with the delivery route of the riders, the judgment time required by the order receiving of the riders is shorter, the delivery efficiency of the riders is improved, the order receiving time of order delivery is also improved, and the delivery resource utilization rate of the platform is improved.
Example 2: the order combination module in the step 3) gathers the orders bound by each rider, orders are ordered according to the residual delivery time to generate a list, delivery routes are planned according to the orders, the order information assembly list is displayed on the mobile equipment of each rider, and the riders can reasonably plan the delivery time and the delivery mode according to the summarized information, so that overtime or missed delivery caused by the fact that the orders cannot be taken over in the delivery process is reduced.
Example 3: the route planning module in the step 4 carries out route planning of various combinations on orders in the order list of the rider, the route planning module screens a designated planning route, the route planning module screens a planning route of which all orders are not overtime in delivery, time spent for completing delivery of the screened orders is calculated, a route planning scheme with the shortest delivery time length is selected to be recommended to the rider, the delivery tasks of the order list are combined and planned by a computer, whether overtime and route time length are taken as dual screening schemes, and a delivery route which can avoid overtime of delivery of the orders and has higher delivery efficiency is screened, so that the time of the route planning of the rider is saved, and the delivery efficiency of the rider is improved.
Example 4: the method comprises the steps that in step 5), an order sending quantity quantification module quantifies optimal route time consumption at a planning position, proper time consumption is calculated by each time of taking and upper door ring sections in a delivery route, total delivery time consumption is calculated by adding taking time consumption and upper door time consumption in the delivery route, an upper limit of total time consumption of a single rider binding order is set for a rider, an order pushing function is closed when the total time consumption of the binding order of the rider exceeds the upper limit, orders are normally pushed and returned to an order combination module after new orders are bound, and the total time consumption required by the order list of the rider is calculated by quantifying the route, the taking time and the upper door in the delivery process of the rider, and then the upper limit of the order time consumption of the rider is limited, so that the order in the rider can be delivered in a set time, the situation that the order of the rider is not regularly delivered to influence a grading platform due to excessive order taking of the rider is avoided, the situation that the traffic rules exist due to excessive pressure of the rider is avoided, the fact that the order is not regularly delivered is fully is avoided, and the delivery efficiency of the delivery route is fully distributed, and the delivery resource is fully utilized, and the delivery time is fully planned, and the delivery resource is fully distributed.
The working principle of the invention is as follows:
s1, calculating total consumption required by a rider to complete an order of an order list, and limiting the upper limit of time consumption of the order of the rider, so that the order in the rider can be distributed within a specified time, the situation that the score of a distribution platform is influenced due to the fact that part of orders are not completed on time due to too many orders taken by the rider is avoided, and the situation that the distribution pressure of the rider is too high and potential safety hazards exist due to the fact that traffic rules are not complied with is avoided;
s2, the distribution platform can optimize order distribution and route planning, reduces time consumed by a rider in order selection and route planning, improves distribution efficiency, and fully utilizes distribution resources.
Compared with the prior art, the invention has the following beneficial effects compared with the prior art:
1. according to the intelligent city distribution platform based on the cluster intelligence, the primarily adapted riders are screened at the distance between the taking points and the delivery path of the taking points, so that the riders receiving the orders can be more matched with the order information, the delivery efficiency of the riders is improved, the delivery source is saved, the line coincidence degree with the orders is calculated according to the delivery route of each rider, the riders can intuitively judge whether the orders are suitable for the current delivery route of the riders, when the riders receive new order information, the time for planning the order route and comparing the order route with the self delivery route can be saved, the judgment time required by the riders for receiving the orders is shorter, the delivery efficiency of the riders is improved, the order receiving time of the order delivery is also improved, and the delivery resource utilization rate of the platform is improved.
2. According to the intelligent city distribution platform based on the cluster intelligence, the order information assembly list is displayed on the mobile equipment of each rider, the riders can reasonably plan distribution time and distribution modes according to the summarized information, overtime or missing delivery caused by the fact that orders are not too much in the distribution process is reduced, a distribution task of the order list is subjected to combined planning through a computer, whether overtime and route duration are used as a double screening scheme, distribution routes which can avoid overtime of order distribution and have quick distribution efficiency are screened out, the time of the route planning of the riders is saved, and the distribution efficiency of the riders is improved.
3. According to the intelligent city distribution platform based on the cluster intelligence, the total consumption required by the order of the order list is calculated by quantifying the distance, the object taking and the entrance of the rider in the distribution process of the rider, and the time-consuming upper limit of the order of the rider is limited, so that the order in the rider can be distributed within a specified time, the situation that the scoring of the distribution platform is influenced due to the fact that part of orders are not completed on time due to too many orders taken by the rider is avoided, the situation that the distribution pressure of the rider is too high and potential safety hazards exist due to the fact that traffic rules are not observed is avoided, the distribution platform can optimize the distribution of the order and the route planning, the time consumed by the rider in selecting the order and planning the route is reduced, the distribution efficiency is improved, and distribution resources are fully utilized.
Claims (5)
1. A smart city distribution platform based on cluster intelligence is characterized by comprising the following steps:
1) Receiving a customer order by a delivery order generation module, and collecting information of a picking point and a delivery point of a customer to generate a delivery order;
2) Inputting the order information into a rider screening module, screening proper riders according to the order information by the rider screening module, and pushing to complete dispatch;
3) The order combination module is used for conveniently carrying out distribution management on the orders bound by each rider;
4) Inputting the order list and the information into a route planning module, and planning a proper delivery route by the order list;
5) The delivery route time consumption and the fetching and getting time are integrated in a quantified mode through a delivery quantity quantification module, and an upper limit is set to limit the time required by each rider to complete all orders;
6) And carrying out distribution according to the order information.
2. The intelligent cluster-based smart city distribution platform of claim 1 wherein: the method comprises the steps that a rider screening module in the step 2) firstly screens out riders close to an order taking point and riders which are distributed and pass through the taking point along the way, the rider screening module pushes order information to the screened riders, the rider screening module calculates the coincidence degree of each rider in-distribution route and the order distribution route, the coincidence degree of the order and the rider route is displayed in push information, the rider judges whether to take a order according to the order information and the route coincidence degree information, the order is distributed to a first order taking rider, and the first order taking rider and the order are bound to be added into an order list and distributed.
3. The intelligent cluster-based smart city distribution platform of claim 2 wherein: and 3) the order combination module in the step is used for summarizing the orders bound by each rider, ordering the orders according to the residual delivery time to generate a list, and planning a delivery route according to the orders.
4. A cluster-intelligence-based smart city distribution platform in accordance with claim 3, wherein: and (3) the route planning module in the step (4) performs route planning of various combinations on orders in the rider order list, screens the appointed planned route, screens out planned routes of which all orders are not overtime in delivery, calculates the time spent for screening out the order delivery, and selects a route planning scheme with the shortest delivery duration to recommend to the rider.
5. The intelligent cluster-based smart city distribution platform of claim 4 wherein: the order sending quantity quantization module in the step 5) carries out quantization processing on the optimal route time consumption of the planning place, and converts each time of fetching and going up the door ring section in the delivery route into proper time consumption, the delivery route time consumption adds the time consumption of fetching and going up the door to calculate the total delivery time consumption, the order sending quantity quantization module sets the total time consumption upper limit of a single rider binding order for a rider, the order pushing function is closed when the total time consumption of the binding order of the rider exceeds the upper limit, and the order is normally pushed when the total time consumption of the binding order of the rider does not exceed the upper limit, and the order is returned to the order combination module for recombination after the new order is bound.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311547258.9A CN117557179A (en) | 2023-11-20 | 2023-11-20 | Smart city distribution platform based on cluster intelligence |
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| CN202311547258.9A CN117557179A (en) | 2023-11-20 | 2023-11-20 | Smart city distribution platform based on cluster intelligence |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118246838A (en) * | 2024-02-28 | 2024-06-25 | 大白鲸信息科技(浙江)有限公司 | Snack food same-city distribution management system based on e-commerce platform |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118246838A (en) * | 2024-02-28 | 2024-06-25 | 大白鲸信息科技(浙江)有限公司 | Snack food same-city distribution management system based on e-commerce platform |
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