Intelligent scheduling system based on logistics monitoring analysis

Abstract

The invention discloses an intelligent scheduling system based on logistics monitoring analysis. The intelligent scheduling system comprises a data acquisition module for acquiring volume information and quality information of a to-be-performed logistics task amount; the task analysis module is used for acquiring the daily driving distance of the AGV and the daily completed logistics task amount; according to the volume information and the mass information of the to-be-performed logistics task amount, determining the type and the number of the to-be-scheduled AGVs, and generating to-be-called AGV information; and the monitoring analysis module is used for acquiring the information of the to-be-called AGV, determining the cargo transportation stability of the to-be-called AGV in logistics, and determining a scheduling sequence. In the AGV scheduling system, a data acquisition module acquires data information and sends the data information to a task analysis module, the task analysis module processes the data information acquired by the data acquisition module and generates calling information, and a monitoring analysis module analyzes AGV operation information, verifies the calling information generated by the task analysis module and determines a scheduling sequence.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics, and in particular to an intelligent scheduling system based on logistics monitoring and analysis. Background Art

[0002] AGV is an unmanned transport vehicle that can travel along a specified guide path and has safety protection and various transfer functions.

[0003] In the logistics industry, AGV can be used for operations such as sorting, handling, and loading of goods; AGV is mostly used for the transportation of standard express parcels.

[0004] The inability to standardize express delivery, the different volumes and qualities of express delivery, and the different packaging forms have restricted the development of AGV. Some solutions have emerged on the market, which have facilitated the transportation of AGV by developing standard packaging boxes and loading express delivery into them.

[0005] However, since the express is placed in the packaging box, the AGV will cause the express to shake during the movement, resulting in the packaging box being unable to be transported stably.

[0006] Therefore, it is necessary to provide a new technical solution to overcome the above-mentioned defects. Summary of the invention

[0007] The purpose of the present invention is to provide an intelligent scheduling system based on logistics monitoring and analysis that can effectively solve the above technical problems.

[0008] In order to achieve the purpose of the present invention, the following technical scheme is adopted:

[0009] Intelligent dispatching system based on logistics monitoring and analysis, including:

[0010] Data collection module: collects the daily driving distance of each AGV and the amount of logistics tasks completed per day, and collects the volume information and quality information of the logistics tasks to be carried out;

[0011] Task analysis module: obtain the daily driving distance of AGV and the daily logistics task volume; determine the type and quantity of AGVs to be dispatched based on the volume and quality information of the logistics tasks to be performed, and generate the information of AGVs to be called;

[0012] Monitoring and analysis module: obtain the information of the AGV to be called, determine the stability of the AGV to be called in transporting goods in logistics, and determine the scheduling order.

[0013] Further: The specific steps of collecting the volume information and quality information of the remaining logistics task volume are as follows:

[0014] Step X1: Scan the logistics code at the terminal to call up the quality information of the logistics; the palletizing robot grabs the items and places them in the packaging box, and records them in the memory;

[0015] Step X2: The logistics camera obtains the subpackaging box number and records it in the memory;

[0016] Step X3: The processor calls the information in the memory and matches the information to obtain the number of sub-packaging boxes, the type of sub-packaging boxes and the quality of each sub-packaging box.

[0017] Further: AGVs with different loads are matched according to the mass of the packaging box, and then AGVs of different models are matched according to the type of the packaging box to generate the AGV information to be called.

[0018] Further: The specific steps to determine the stability of the AGV to be called in transporting goods in logistics are:

[0019] Step S1: extracting the video clip of AGV operation shot by the surveillance camera;

[0020] Step S2: Determine the stability factor of the AGV;

[0021] Step S3: Sort the AGVs according to the stability factor, and call them in descending order of the stability factor to determine the scheduling order.

[0022] Further: the stability factor of the AGV is input into the threshold center and compared with the preset threshold. If it is greater than the preset threshold, it is stable and can be called.

[0023] Further: when determining the stability factor of the AGV, first perform grayscale conversion on the collected images to improve the image quality and the accuracy of feature extraction; use a contour extraction algorithm to identify the position of the packaging box in the image; determine the feature points of the packaging box, and track the position changes of the goods in the image through the ORB algorithm; calculate the position coordinates of the goods in the image, use the Kalman filter to fit the movement trajectory of the packaging box, and determine the distance the packaging box moves. The stability factor is K, G is the weight of the packaging box, H is the distance from the axis of the front wheel of the AGV to the ground, h is the height from the packaging box to the AGV, and W is the distance the packaging box moves, K=(G×(Hh)) / (W×L).

[0024] Compared with the prior art, the present invention has the following beneficial effects: in the intelligent scheduling system based on logistics monitoring and analysis, the data acquisition module collects data information and sends it to the task analysis module. The task analysis module processes the data information collected by the data acquisition module and generates call information. The monitoring and analysis module analyzes the AGV operation information and verifies the call information generated by the task analysis module. It gives priority to calling AGVs with better stability and tries not to call AGVs with poor stability, thereby determining the scheduling order. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0026] Figure 1 It is a flow chart of the intelligent dispatching system based on logistics monitoring and analysis of the present invention. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are partial embodiments of the present invention, rather than all embodiments.

[0028] like Figure 1 As shown, the intelligent scheduling system based on logistics monitoring and analysis of the present invention includes: a data acquisition module, a task analysis module and a monitoring and analysis module; the data acquisition module is electrically connected to the task analysis module, the task analysis module is electrically connected to the monitoring and analysis module, the data acquisition module collects data information and sends it to the task analysis module, the task analysis module processes the data information collected by the data acquisition module and generates calling information, the monitoring and analysis module analyzes the AGV operation information, verifies the calling information generated by the task analysis module, gives priority to calling AGVs with better stability, and tries not to call AGVs with poor stability, thereby determining the scheduling order.

[0029] The data acquisition module collects the daily driving distance and daily completed logistics tasks of each AGV, determines the stability of AGV operation based on the daily driving distance and daily completed logistics tasks of each AGV, so as to eliminate AGVs with unstable operation, and collects the volume information and quality information of the logistics tasks to be performed; the task analysis module obtains the daily driving distance and daily completed logistics tasks of the AGV; determines the type and quantity of AGVs that need to be dispatched based on the volume information and quality information of the logistics tasks to be performed, generates the information of AGVs to be called, divides the AGVs into heavy AGVs and light AGVs as needed, and determines the required quantity of each AGV; the monitoring and analysis module obtains the information of AGVs to be called, determines the stability of the AGVs to be called in transporting goods in logistics, and determines the scheduling order.

[0030] The specific steps for collecting volume information and quality information of the remaining logistics task volume are as follows:

[0031] Step X1: Scan the logistics code at the terminal to call up the quality information of the logistics; the palletizing robot grabs the items and places them in the packaging box, and records them in the memory;

[0032] Step X2: The logistics camera obtains the subpackaging box number and records it in the memory;

[0033] Step X3: The processor calls the information in the memory and matches the information to obtain the number of sub-packaging boxes, the type of sub-packaging boxes and the quality of each sub-packaging box.

[0034] Match AGVs with different load capacities according to the mass of the packaging boxes, and then match AGVs of different models according to the types of packaging boxes to generate the AGV information to be called.

[0035] What needs to be explained in detail here is that after the logistics are received, the relevant personnel will weigh the logistics information and then generate a logistics code. Therefore, the quality information of the logistics can be directly called by scanning the logistics code at the terminal; the palletizing robot grabs the items and places them in the packing box, and records the quality of the items in the memory; the logistics camera obtains the packing box number, and at the same time the logistics camera confirms whether the packing box is full; the processor calls the information in the memory and matches the packing box number with the quality, and divides the packing box into light-loaded packing boxes and heavy-loaded packing boxes according to the artificially set standards. The loading mass of light-loaded packing boxes and heavy-loaded packing boxes is different, and different types of AGVs can be used for transportation.

[0036] The specific steps to determine the stability of the AGV to be called in transporting goods in logistics are:

[0037] Step S1: extracting the video clip of AGV operation shot by the surveillance camera;

[0038] Step S2: Determine the stability factor of the AGV;

[0039] Step S3: Sort the AGVs according to the stability factor, and call them in descending order of the stability factor to determine the scheduling order.

[0040] Input the stability factor of the AGV into the threshold center and compare it with the preset threshold. If it is greater than the preset threshold, it is stable and can be called. If the K value is greater than the preset threshold, it means that the AGV's stabilizing moment is greater than the overturning moment, and the AGV is in a stable state. If the K value is equal to the preset threshold, it means that the AGV's stabilizing moment is equal to the overturning moment, and the AGV is in a critical state of overturning. If the K value is less than the preset threshold, it means that the AGV's stabilizing moment is less than the overturning moment, and the AGV is at risk of overturning.

[0041] When determining the stability factor of AGV, first perform grayscale conversion on the collected images to improve image quality and the accuracy of feature extraction; use a contour extraction algorithm to identify the position of the packaging box in the image; determine the feature points of the packaging box, and track the position changes of the goods in the image through the ORB algorithm; calculate the position coordinates of the goods in the image, use the Kalman filter to fit the movement trajectory of the packaging box, and determine the distance the packaging box moves. The stability factor is K, G is the weight of the packaging box, H is the distance from the AGV front wheel axis to the ground, h is the height from the packaging box to the AGV, and W is the distance the packaging box moves. According to the overturning formula, it can be obtained that: K = (G×(Hh)) / (W×L).

[0042] It should be understood that those skilled in the art can make improvements or changes based on the above description, and all these improvements and changes should fall within the scope of protection of the appended claims of the present invention.

Claims

1. Intelligent dispatching system based on logistics monitoring and analysis, characterized by: include: Data collection module: collects the daily driving distance of each AGV and the amount of logistics tasks completed per day, and collects the volume information and quality information of the logistics tasks to be carried out; Task analysis module: obtain the daily driving distance of AGV and the daily logistics task volume; determine the type and quantity of AGVs to be dispatched based on the volume and quality information of the logistics tasks to be performed, and generate the information of AGVs to be called; Monitoring and analysis module: obtain the information of the AGV to be called, determine the stability of the AGV to be called in transporting goods in logistics, and determine the scheduling order.

2. The intelligent dispatching system based on logistics monitoring and analysis as claimed in claim 1, characterized in that: The specific steps for collecting volume information and quality information of the remaining logistics task volume are as follows: Step X1: Scan the logistics code at the terminal to call up the quality information of the logistics; the palletizing robot grabs the items and places them in the packaging box, and records them in the memory; Step X2: The logistics camera obtains the subpackaging box number and records it in the memory; Step X3: The processor calls the information in the memory and matches the information to obtain the number of sub-packaging boxes, the type of sub-packaging boxes and the quality of each sub-packaging box.

3. The intelligent dispatching system based on logistics monitoring and analysis as claimed in claim 2, characterized in that: Match AGVs with different load capacities according to the mass of the packaging boxes, and then match AGVs of different models according to the types of packaging boxes to generate the AGV information to be called.

4. The intelligent dispatching system based on logistics monitoring and analysis as claimed in claim 3, characterized in that: The specific steps to determine the stability of the AGV to be called in transporting goods in logistics are: Step S1: extracting the video clip of AGV operation shot by the surveillance camera; Step S2: Determine the stability factor of the AGV; Step S3: Sort the AGVs according to the stability factor, and call them in descending order of the stability factor to determine the scheduling order.

5. The intelligent dispatching system based on logistics monitoring and analysis as claimed in claim 4, characterized in that: Input the stability factor of the AGV into the threshold center and compare it with the preset threshold. If it is greater than the preset threshold, it is stable and can be called.

6. The intelligent dispatching system based on logistics monitoring and analysis as claimed in claim 4, characterized in that: When determining the stability factor of AGV, first perform grayscale conversion on the collected images to improve image quality and the accuracy of feature extraction; use a contour extraction algorithm to identify the position of the packaging box in the image; determine the feature points of the packaging box, and track the position changes of the goods in the image through the ORB algorithm; calculate the position coordinates of the goods in the image, use the Kalman filter to fit the movement trajectory of the packaging box, and determine the distance the packaging box moves. The stability factor is K, G is the weight of the packaging box, H is the distance from the AGV front wheel axis to the ground, h is the height from the packaging box to the AGV, and W is the distance the packaging box moves, K = (G × (Hh)) / (W × L).

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