CN-121972408-A - Multi-source-sensing sorting system auxiliary line-stacking device cooperative control method and system

CN121972408ACN 121972408 ACN121972408 ACN 121972408ACN-121972408-A

Abstract

The invention discloses a collaborative control method and a collaborative control system for auxiliary line-stack removing devices of a multi-source sensing sorting system, which relate to the field of logistics intelligent sorting, wherein the method comprises the steps of connecting a target auxiliary line-stack removing device, comprising a plurality of package transmission lines and stack removing units, acquiring a current transmission line speed and a package quantity sequence in unit time, and processing package quantity in unit time of the stack removing units; the method comprises the steps of obtaining the current inlet parcel backlog of a stack removing unit, configuring a parcel backlog predictor, inputting a plurality of transmission line speeds, a plurality of parcel volume sequences in unit time and a treatment parcel volume in unit time into the parcel backlog predictor to obtain an inlet parcel backlog prediction sequence, obtaining an optimized unit time treatment parcel volume according to the plurality of transmission line speeds, the plurality of parcel volume sequences in unit time and the inlet parcel backlog prediction sequence when the maximum backlog volume is greater than or equal to a preset backlog threshold, and configuring the stack removing unit. The problems of unmatched logistics sorting supply and demand, untimely response and low sorting efficiency are solved.

Inventors

LAI WENJIE
Li Zhenger
CHEN SHENGZE
GUO ZHIWEN

Assignees

广州艮业信息科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260130

Claims (8)

1. The method for cooperatively controlling the auxiliary line-stacking device of the multi-source sensing sorting system is characterized by comprising the following steps of: Connecting a target auxiliary line-stacking removing device, wherein the target auxiliary line-stacking removing device comprises a plurality of package transmission lines and a stacking removing unit, and acquiring current transmission line speeds and package quantity sequences in unit time of the package transmission lines and current package quantity processing in unit time of the stacking removing unit; Acquiring the current inlet parcel backlog of the stacking unit, configuring a parcel backlog predictor based on the current inlet parcel backlog, and inputting a plurality of transmission line speeds, a plurality of unit-time parcel quantity sequences and unit-time processing parcel quantities into the parcel backlog predictor to acquire an inlet parcel backlog prediction sequence; And when the maximum backlog amount in the inlet parcel backlog prediction sequence is greater than or equal to a preset backlog threshold value, acquiring and optimizing the unit time processing parcel amount according to the transmission line speeds, the unit time parcel amount sequences and the inlet parcel backlog prediction sequence, and configuring the stack removing unit.
2. The method according to claim 1, wherein the method further comprises: Obtaining the maximum unit time treatment parcel volume of the stacking unit; When the stack removing unit operates with the maximum unit time package handling quantity, if the maximum backlog quantity in the inlet package backlog prediction sequence is still greater than or equal to a preset backlog threshold value, the transmission line speeds are adjusted and optimized to obtain optimized transmission line speeds, and the package transmission lines are configured.
3. The method of claim 1, wherein obtaining a current line speed and a sequence of parcel volumes for a plurality of parcel transmission lines comprises: acquiring current transmission line speeds of the plurality of package transmission lines through speed sensors deployed on the plurality of package transmission lines; Acquiring the entering time and the quantity of the packages entering each package transmission line in real time through industrial cameras deployed at the inlets of the package transmission lines; Acquiring length parameters of each package transmission line, and calculating the estimated transmission time length of packages from the inlets of each package transmission line to the stacking unit by combining the current transmission line speed of each package transmission line; Setting a predicted time window, and determining the predicted arrival time of each package to the stacking unit based on the entering time and the predicted transmission time; And screening packages with the predicted arrival time within the predicted time window, and counting according to preset unit time intervals to generate the unit time package quantity sequence corresponding to each package transmission line.
4. The method of claim 1, wherein the step of constructing the parcel backlog predictor comprises: Collecting a historical parcel transmission record of the target auxiliary line-stacking device, and establishing a sample multi-transmission line speed set, a sample multi-unit time parcel volume sequence set, a sample unit time processing parcel volume set and a sample backlog change sequence set according to the historical parcel transmission record; taking the sample multi-transmission line speed set, the sample multi-unit time parcel sequence set and the sample unit time processing parcel set as inputs, taking the sample backlog change sequence set as a label, and training to generate an initial backlog predictor; Establishing a data integration layer, wherein the data integration layer is used for performing superposition operation on the output of the initial backlog predictor and the inlet parcel backlog; and integrating the initial backlog predictor and the data integration layer to generate the parcel backlog predictor.
5. The method of claim 1, wherein obtaining an optimized process parcel per unit time based on the plurality of transmission line speeds, the plurality of parcel per unit time sequences, and the inlet parcel backlog prediction sequence, comprises: Acquiring a unit time processing parcel volume interval of the stacking unit; And optimizing the current unit time package handling quantity according to the transmission line speeds and the unit time package quantity sequences by taking the unit time package handling quantity interval as a constraint to obtain an optimized unit time package handling quantity.
6. The method of claim 5, wherein optimizing the current volume of packages processed per unit time based on the plurality of transmission line speeds and the plurality of sequences of volumes of packages processed per unit time with the volume of packages processed per unit time interval as a constraint, comprises: Setting a processing amount searching range, wherein the lower limit of the processing amount searching range is the current processing amount of the package in unit time, and the upper limit of the processing amount searching range is the maximum processing amount of the package in unit time in a processing amount interval of the package in unit time; Calculating the average value of the upper limit and the lower limit of the processing amount searching range to be used as the test processing amount; Inputting the transmission line speeds, the wrapping quantity sequences in unit time and the test processing quantity into the wrapping backlog predictor to obtain a first updated inlet wrapping backlog sequence; if the maximum backlog amount in the first updating inlet parcel backlog sequence is greater than or equal to the preset backlog threshold value, updating the lower limit of the processing amount searching range to be the test processing amount; If the maximum backlog amount in the first updating inlet parcel backlog sequence is smaller than the preset backlog threshold value, updating the upper limit of the processing amount searching range to be the test processing amount; and performing iteration until a minimum test throughput which enables the maximum backlog amount in the first updating inlet parcel backlog sequence to be smaller than the preset backlog threshold value is found, and taking the minimum test throughput as the optimized parcel throughput processed in unit time.
7. The method of claim 2, wherein performing adjustment optimization on the plurality of transmission line speeds to obtain a plurality of optimized transmission line speeds comprises: Acquiring a transmission speed adjusting range of each package transmission line; Setting a speed adjustment step length, and uniformly reducing the speed adjustment step length for the current transmission line speeds of the plurality of package transmission lines to obtain the adjustment transmission line speeds of the package transmission lines; Acquiring a second updated inlet parcel backlog sequence based on the adjusted transmission line speed of each parcel transmission line; Judging whether the maximum backlog amount in the second updating inlet parcel backlog sequence is smaller than the preset backlog threshold value or not; If the maximum backlog amount in the second updating inlet wrapping backlog sequence is still greater than or equal to the preset backlog threshold value and the transmission line speed is regulated to not reach the lower limit of the transmission speed regulation range, continuing to uniformly reduce the transmission line speed according to the speed regulation step length; and performing iteration until the maximum backlog amount in the second updating inlet wrapping backlog sequence is smaller than the preset backlog threshold value, and taking the corresponding adjusted transmission line speeds as the plurality of optimized transmission line speeds.
8. A multisource perceived sorting system auxiliary line-stacking device cooperative control system for implementing the method of any one of claims 1-7, the system comprising: The data acquisition module is used for connecting a target auxiliary line-stacking removing device, the target auxiliary line-stacking removing device comprises a plurality of package transmission lines and a stacking removing unit, and acquiring current transmission line speeds and package quantity sequences in unit time of the package transmission lines and current package quantity processing in unit time of the stacking removing unit; The inlet parcel backlog prediction module is used for acquiring the current inlet parcel backlog of the stacking unit, configuring a parcel backlog predictor based on the current inlet parcel backlog, inputting a plurality of transmission line speeds, a plurality of parcel volume sequences in unit time and a parcel volume processing in unit time into the parcel backlog predictor, and acquiring an inlet parcel backlog prediction sequence; and the stack removing unit configuration module is used for acquiring and optimizing the unit time processing parcel quantity according to the transmission line speeds, the unit time parcel quantity sequences and the inlet parcel stack predicting sequence when the maximum backlog quantity in the inlet parcel stack predicting sequence is greater than or equal to a preset backlog threshold value, and configuring the stack removing unit.

Description

Multi-source-sensing sorting system auxiliary line-stacking device cooperative control method and system Technical Field The invention relates to the field of intelligent logistics sorting, in particular to a cooperative control method and system for auxiliary lines and stacking removing devices of a multi-source sensing sorting system. Background In modern logistics sorting systems, the logistics facilities for sorting cargoes by adopting an assembly line automatic operation mode are composed of a control device, a sorting device, a conveying device and a sorting crossing, and the cargoes are rapidly sorted through bar code identification. In the prior art, the traditional passive response mode is used for adjustment, the historical data is not utilized for demand analysis, so that supply and demand mismatch between auxiliary line conveying and parcel flow is caused, the backlog response is not timely in sorting, the sorting efficiency is low, and equipment loss and energy waste are caused. Therefore, it is urgently needed to provide a collaborative control method and a collaborative control system for auxiliary lines and a stacking removing device of a multi-source sensing sorting system, so as to realize intelligent and accurate matching of feeding and stacking removing rhythms. Disclosure of Invention The application provides a cooperative control method and a cooperative control system for auxiliary line-stacking removing devices of a multi-source sensing sorting system, and aims to solve the problems of mismatching of supply and demand between auxiliary line conveying and parcel flow, untimely sorting backlog response and low sorting efficiency in the prior art. In view of the above problems, the application provides a method and a system for collaborative control of auxiliary line-stacking device of a multi-source sensing sorting system. In a first aspect, the application provides a multi-source-aware cooperative control method for auxiliary lines and a stacking device of a sorting system, which comprises the following steps: Connecting a target auxiliary line-stacking removing device, wherein the target auxiliary line-stacking removing device comprises a plurality of package transmission lines and a stacking removing unit, and acquiring current transmission line speeds and package quantity sequences in unit time of the package transmission lines and current package quantity processing in unit time of the stacking removing unit; Acquiring the current inlet parcel backlog of the stacking unit, configuring a parcel backlog predictor based on the current inlet parcel backlog, and inputting a plurality of transmission line speeds, a plurality of unit-time parcel quantity sequences and unit-time processing parcel quantities into the parcel backlog predictor to acquire an inlet parcel backlog prediction sequence; And when the maximum backlog amount in the inlet parcel backlog prediction sequence is greater than or equal to a preset backlog threshold value, acquiring and optimizing the unit time processing parcel amount according to the transmission line speeds, the unit time parcel amount sequences and the inlet parcel backlog prediction sequence, and configuring the stack removing unit. In a second aspect, the present application provides a multisource-aware sorting system auxiliary line-stacking apparatus cooperative control system, comprising: The data acquisition module is used for connecting a target auxiliary line-stacking removing device, the target auxiliary line-stacking removing device comprises a plurality of package transmission lines and a stacking removing unit, and acquiring current transmission line speeds and package quantity sequences in unit time of the package transmission lines and current package quantity processing in unit time of the stacking removing unit; The inlet parcel backlog prediction module is used for acquiring the current inlet parcel backlog of the stacking unit, configuring a parcel backlog predictor based on the current inlet parcel backlog, inputting a plurality of transmission line speeds, a plurality of parcel volume sequences in unit time and a parcel volume processing in unit time into the parcel backlog predictor, and acquiring an inlet parcel backlog prediction sequence; and the stack removing unit configuration module is used for acquiring and optimizing the unit time processing parcel quantity according to the transmission line speeds, the unit time parcel quantity sequences and the inlet parcel stack predicting sequence when the maximum backlog quantity in the inlet parcel stack predicting sequence is greater than or equal to a preset backlog threshold value, and configuring the stack removing unit. One or more technical schemes provided by the application have at least the following technical effects or advantages: According to the method and the system for collaborative control of the auxiliary line-stacking removing device of the multi-source sensing sorti