CN116823122B

CN116823122B - Agricultural and sideline product warehouse management method and system

Info

Publication number: CN116823122B
Application number: CN202311081889.6A
Authority: CN
Inventors: 张小轲; 陈远福; 晏杰; 李红; 周才香; 汤和文; 江资慧
Original assignee: Changsha Sanzhi Agricultural Technology Co ltd
Current assignee: Changsha Sanzhi Agricultural Technology Co ltd
Priority date: 2023-08-26
Filing date: 2023-08-26
Publication date: 2023-12-08
Anticipated expiration: 2043-08-26
Also published as: CN116823122A

Abstract

The invention relates to the technical field of agricultural and sideline product management, in particular to a method and a system for agricultural and sideline product warehouse management. The method comprises the following steps: performing target management warehouse data screening and collection on management warehouse data to generate real-time warehouse agricultural and sideline product data; data filling of communication matrix nodes is carried out by utilizing real-time warehouse agricultural and sideline product data, and a warehouse communication matrix is generated; dividing a replenishment node and a node to be replenished of the warehouse communication matrix into a replenishment node and a node to be replenished of the warehouse communication matrix, and respectively generating the replenishment node and the node to be replenished; and carrying out agricultural and sideline product management and distribution according to the priority inventory replenishment data and the priority inventory to-be-replenished data, and generating an agricultural and sideline product management and distribution priority scheme. And acquiring and optimizing the coordinate route of the agricultural and sideline product management allocation priority according to the agricultural and sideline product management allocation priority scheme, and generating intelligent trolley optimized route data. The invention realizes more accurate warehouse management and distribution of agricultural and sideline products.

Description

Agricultural and sideline product warehouse management method and system

Technical Field

The invention relates to the technical field of agricultural and sideline product management, in particular to a method and a system for agricultural and sideline product warehouse management.

Background

The agricultural and sideline product warehouse management method is important in ensuring effective storage, preservation and distribution of agricultural products and byproducts so as to meet the increasing grain and life demands of people. The scientific and reasonable warehouse management method can effectively reduce loss and waste, improve the resource utilization efficiency and ensure the stability of agricultural product supply. By controlling the storage environment, adopting proper storage facilities and packaging, and implementing strict quality monitoring and inventory management, the problems of insect damage, mildew and the like can be prevented, and the original nutritional value and market competitiveness of agricultural products can be maintained. However, the conventional agricultural and sideline product warehouse management method cannot reasonably distribute agricultural and sideline products in a warehouse, and needs to monitor whether the agricultural and sideline products in the warehouse are missing or not in real time to distribute, so that the problems of emergency requirements and the like exist, and the distribution planning and the distribution path also need to be manually allocated, which is too tedious and wastes manpower resources.

Disclosure of Invention

Based on the above, the invention provides a warehouse management method and system for agricultural and sideline products, so as to solve at least one of the above technical problems.

In order to achieve the above purpose, the agricultural and sideline product warehouse management method comprises the following steps:

Step S1: acquiring management warehouse data of agricultural and sideline products; performing target management warehouse data screening on management warehouse data according to preset target management warehouse data information to generate target management warehouse data; the method comprises the steps of collecting warehouse agricultural and sideline product data of target management warehouse data in real time, and generating real-time warehouse agricultural and sideline product data;

step S2: establishing a communication matrix architecture of the agricultural and sideline warehouse by using network transmission equipment and a network transmission protocol, and filling data of communication matrix nodes by using data of agricultural and sideline products of the real-time warehouse to generate a warehouse communication matrix;

step S3: dividing a replenishment node and a node to be replenished of the warehouse communication matrix into a replenishment node and a node to be replenished of the warehouse communication matrix, and respectively generating the replenishment node and the node to be replenished;

step S4: inventory replenishment data calculation and sequencing are carried out on the replenishment nodes, and priority inventory replenishment data are generated; the node to be replenished is subjected to inventory replenishment data calculation and sequencing to generate priority inventory replenishment data; according to the priority inventory replenishment data and the priority inventory to-be-replenished data, agricultural and sideline product management and allocation are carried out, and an agricultural and sideline product management and allocation priority scheme is generated;

step S5: and acquiring and optimizing coordinate routes of the agricultural and sideline product management allocation priorities according to the agricultural and sideline product management allocation priority scheme, generating intelligent trolley optimized route data, and transmitting the intelligent trolley optimized route data to a terminal for agricultural and sideline product warehouse management.

The invention ensures that the comprehensive information basis is obtained by obtaining the management warehouse data of agricultural and sideline products. The management warehouse data can be screened according to the preset target management warehouse data information, so that the information related to the current management target can be effectively extracted from the mass data, the complexity of information processing is reduced, key data can be focused through screening, and the accuracy of subsequent analysis and decision making is optimized. The method has the advantages that the target management warehouse data are collected in real time, the real-time warehouse agricultural and sideline product data are generated, timeliness and accuracy of management information are guaranteed, more accurate support is provided for subsequent decision making, and erroneous decisions based on outdated information are avoided. By establishing the communication matrix architecture, the efficient communication of information between nodes is realized, so that synchronous update and real-time sharing of data in a warehouse are promoted, and delay and error of information transmission are reduced. The node data of the communication matrix is filled, so that the communication matrix is more representative and practical, a more accurate basis is provided for subsequent decision and operation, the communication architecture among nodes in the warehouse is optimized, the data transmission efficiency and accuracy are improved, and a foundation is laid for more efficient warehouse management of agricultural and sideline products. Through the division of the replenishment nodes and the nodes to be replenished, the subdivision and individuation of inventory management are realized, the inventory of the key nodes is ensured to be always at a reasonable level, meanwhile, excessive allocation of resources is avoided, the hierarchical management strategy is beneficial to optimizing the configuration and replenishment planning of the inventory, so that the efficiency and the flexibility of warehouse operation are improved, a finer inventory management strategy is provided, the actual demands are better met, and excessive or insufficient inventory phenomena are avoided. By means of calculation and sequencing of the data, the inventory replenishment and the priority order to be replenished are defined, reasonable allocation and optimal utilization of resources are guaranteed, generation of priority inventory replenishment data ensures that the inventory of key nodes can be timely replenished to meet emergency demands, generation of priority inventory replenishment data provides priori basis for resource planning, possible shortage conditions in the future are prevented, and after the priority data are integrated, the generated management allocation priority scheme enables agricultural and sideline products to be managed and allocated in a warehouse more orderly, and effectiveness and operability of the inventory are further improved. Through the planning of intelligent trolley route data for intelligent trolley can visit each node according to best order, thereby reduced distance of travel and time, improved the efficiency of operation in the warehouse, optimized route can also alleviate the inside jam condition of warehouse, reduced the operation risk, thereby ensured warehouse management's security and stability, with intelligent trolley optimized route data transmission to the terminal after, can realize remote monitoring and management, provide more accurate guidance for the real-time warehouse management of agricultural and sideline products. Therefore, the agricultural and sideline product warehouse management method of the invention automatically and reasonably distributes the agricultural and sideline products of the warehouse, does not need to monitor whether the agricultural and sideline products of the warehouse are missing or not in real time to distribute, effectively solves the problems of emergency requirements and the like of the agricultural and sideline products of the warehouse, accurately distributes planning and distribution paths, and simplifies operation and saves manpower resources.

Preferably, step S1 comprises the steps of:

step S11: acquiring management warehouse data of agricultural and sideline products;

step S12: performing target management warehouse data screening on management warehouse data according to preset target management warehouse data information to generate target management warehouse data;

step S13: the method comprises the steps of extracting monitoring management node data of agricultural and sideline products according to target management warehouse data, and generating monitoring node data of the target management warehouse data;

step S14: and carrying out real-time acquisition on the warehouse agricultural and sideline product data of the target management warehouse data by using the sensor to generate real-time warehouse agricultural and sideline product data.

The invention acquires the management warehouse data of agricultural and sideline products and ensures that comprehensive warehouse information is acquired. And performing target screening on management warehouse data according to preset target management warehouse data information, and concentrating the data on information related to the current management target, so that the complexity of data processing is reduced, and the effectiveness of the data is improved. Based on the screened target management warehouse data, the monitoring management node data of the agricultural and sideline products is extracted, the monitoring node data of the target management warehouse data is generated, the data is further refined from the warehouse data with a larger range, and the data is focused on the nodes needing to be monitored, so that the follow-up monitoring and data acquisition are more accurate. By utilizing the sensor to collect the monitoring node data in real time, the data of agricultural and sideline products of the real-time warehouse are generated, the collected data is real information at the current moment, interference of outdated information is avoided, and more accurate support is provided for subsequent decisions.

Preferably, step S2 comprises the steps of:

step S21: establishing a communication matrix architecture of the agricultural and sideline warehouse by using network transmission equipment and a network transmission protocol, and generating a warehouse communication matrix architecture;

step S22: and filling data of communication matrix nodes in the warehouse communication matrix architecture by utilizing the real-time warehouse agricultural and sideline product data to generate a warehouse communication matrix.

The invention establishes the communication matrix architecture of the agricultural and sideline warehouse by utilizing the network transmission equipment and the network transmission protocol, realizes the connection and communication between the nodes in different warehouses, provides an efficient basis for the subsequent data exchange and sharing, and can promote the rapid transmission and real-time sharing of information between the nodes in the warehouses by establishing the communication matrix architecture, thereby improving the cooperative work and response speed. The data of the communication matrix nodes are filled in the warehouse communication matrix architecture by utilizing the real-time warehouse agricultural and sideline product data, so that a warehouse communication matrix is generated, the matrix fuses the actual warehouse data, the node data in the communication matrix is more accurate and real, and a more representative basis can be provided for data exchange and information transmission between the nodes by combining the real-time data with the communication matrix.

Preferably, step S3 comprises the steps of:

step S31: calculating the inventory safety value of the agricultural and sideline products of the warehouse by utilizing the inventory safety value algorithm of the agricultural and sideline products of the warehouse to the target management warehouse data, and generating the inventory safety value of the agricultural and sideline products of the warehouse;

step S32: monitoring the agricultural and sideline product inventory of the warehouse communication matrix nodes in real time, and when the real-time warehouse agricultural and sideline product data of the warehouse communication matrix is not smaller than the warehouse agricultural and sideline product inventory safety value, marking the nodes of the warehouse communication matrix corresponding to the real-time warehouse agricultural and sideline product data with replenishment nodes to generate replenishment nodes of the warehouse communication matrix;

step S33: and carrying out real-time monitoring on the agricultural and sideline product inventory of the warehouse communication matrix nodes on the warehouse communication matrix, and when the real-time warehouse agricultural and sideline product data of the warehouse communication matrix is smaller than the warehouse agricultural and sideline product inventory safety value, marking the nodes of the warehouse communication matrix corresponding to the real-time warehouse agricultural and sideline product data with nodes to be replenished, so as to generate the nodes to be replenished of the warehouse communication matrix.

According to the invention, the stock safety value of the warehouse agricultural and sideline products is calculated on the target management warehouse data by utilizing the warehouse agricultural and sideline products stock safety value algorithm, the stock threshold value of each node is determined by the algorithm according to the actual condition of the target management warehouse data, the stock is ensured not to drop to a dangerous level, and the normal operation of the warehouse and the stability of the stock are ensured. And (3) carrying out real-time monitoring on the agricultural and sideline product inventory on the warehouse communication matrix, marking a replenishment node and a node to be replenished according to comparison of real-time data and an inventory safety value, wherein the replenishment node refers to a node with the real-time inventory not smaller than the inventory safety value, the node to be replenished refers to a node with the real-time inventory smaller than the inventory safety value, and the nodes in the warehouse are classified into different categories according to actual demands through the marking process, so that a foundation is provided for a subsequent inventory replenishment strategy.

Preferably, the warehouse farm and sideline product inventory safety value algorithm in step S31 is as follows:

；

in the method, in the process of the invention,expressed as warehouse agricultural and sideline product inventory safety value, < >>Expressed as the number of agricultural by-products species,/-, and>expressed as the end time of the warehouse agricultural and sideline product inventory period of analysis, +.>Expressed as the start time of the warehouse agricultural and sideline product inventory period of analysis, +.>An initial inventory security value expressed as agricultural and sideline product category,/->Denoted as +.>Historical stock data of agricultural and sideline products +.>The current time, expressed as analysis warehouse agricultural and sideline products inventory time period,/, is->Denoted as +.>The demand of agricultural and sideline products +.>Denoted as +.>Current stock quantity of agricultural by-products, < ->Denoted as +.>Subsequent consumption rate of agricultural by-products, < ->Denoted as +.>Consumption rate of agricultural and sideline products +.>An anomaly adjustment value expressed as a warehouse farm and sideline product inventory safety value.

The invention utilizes a warehouse agricultural and sideline product inventory safety value algorithm which comprehensively considers the types and the quantity of agricultural and sideline productsAnalyzing the end time of warehouse farm and sideline products inventory period +.>Analyzing the start time of warehouse agricultural and sideline product inventory period +.>Initial inventory safety value for farm and sideline product category +. >First->Historical inventory data of agricultural and sideline products +.>Analyzing the current time of warehouse farm and sideline product inventory period +.>First->The demand of agricultural and sideline products>First->Current stock of agricultural by-products +.>First->Subsequent consumption rate of agricultural by-products +.>First->Consumption rate of agricultural and sideline products>And interactions between functions to form a functional relationship:

that is to say,the functional relation is used for determining whether the warehouse needs to be supplemented with the agricultural and sideline products by calculating the safety value of the agricultural and sideline products in the warehouse. Considering that the types and the numbers of different agricultural and sideline products have different characteristics and requirements, the algorithm introduces the types and the number parameters, and can perform personalized inventory safety value calculation aiming at different products so as to better meet the actual requirements; by analyzing the stock conditions of the end time and the start time of the stock time period of the agricultural and sideline products in the warehouse, the algorithm can more accurately analyze the periodical conditions of the stock to determine the safety value of the stock, so that the stock safety value is more targeted; initial inventory safety value for agricultural and sideline product category and +.>Historical inventory data of agricultural and sideline products reflects past inventory conditions, facilitates estimation of future demands, takes past information into consideration, and thereby more accurately infers future inventory changes; consider- >The demand of agricultural and sideline products and the +.>The current stock quantity of agricultural and sideline products is weighed, so that the algorithm can better cope with the situation of stock shortage; by analysis of->The subsequent consumption rate and consumption rate of agricultural and sideline products can be used for predicting the trend of future inventory consumption better, so that the prediction of the functional relation on the inventory demand is more accurate, and more information is provided for the calculation of the inventory safety value. By dynamically calculating the agricultural and sideline product inventory safety value, deeper and accurate decision support can be provided for warehouse managers, inventory balance is realized, management and replenishment strategies of agricultural and sideline products are optimized, and accordingly inventory management efficiency and cost control are improved. Abnormal adjustment value +.>The functional relation is adjusted and corrected, and error influence caused by abnormal data or error items is reduced, so that warehouse agricultural and sideline product inventory safety values are generated more accurately>The accuracy and the reliability of the calculation of the inventory safety value of the agricultural and sideline products of the warehouse on the target management warehouse data are improved. Meanwhile, the adjustment value in the formula can be adjusted according to actual conditions and is applied to different target management warehouse data, so that the flexibility and applicability of the algorithm are improved.

Preferably, step S4 comprises the steps of:

step S41: performing difference value calculation on the real-time warehouse agricultural and sideline product data of the replenishment node and the warehouse agricultural and sideline product inventory safety value corresponding to the replenishment node to generate inventory replenishment data;

step S42: the inventory replenishment data is subjected to priority ranking processing, and priority inventory replenishment data is generated;

step S43: performing difference calculation on the time warehouse agricultural and sideline product data of the node to be replenished and the warehouse agricultural and sideline product inventory safety value corresponding to the node to be replenished to generate inventory data to be replenished;

step S44: the method comprises the steps of performing priority sorting on inventory to-be-supplied data to generate priority inventory to-be-supplied data;

step S45: and carrying out agricultural and sideline product management and distribution according to the priority inventory replenishment data and the priority inventory to-be-replenished data, and generating an agricultural and sideline product management and distribution priority scheme.

The invention calculates the difference between the real-time warehouse agricultural and sideline product data of the replenishment nodes and the inventory safety value corresponding to the replenishment nodes to generate inventory replenishment data, and the calculation process considers the difference between the actual inventory and the safety value, thereby determining the replenishment quantity provided by each replenishment node and ensuring reasonable replenishment of the inventory. The inventory replenishment data is subjected to priority sequencing, the priority inventory replenishment data is generated, and the replenishment priority of the replenishment nodes can be determined through sequencing, so that the replenishment of the key nodes is more urgent and priority, and the timely supply of agricultural and sideline products is ensured. The method comprises the steps of carrying out difference value calculation on real-time warehouse agricultural and sideline product data of nodes to be replenished and inventory safety values corresponding to the nodes to be replenished, generating inventory data to be replenished, carrying out priority ordering treatment, generating priority inventory data to be replenished, ordering the nodes to be replenished according to the emergency degree of replenishment requirements, and providing basis for subsequent inventory replenishment strategies. According to the priority inventory replenishment data and the priority inventory to-be-replenished data, the management and the distribution of the agricultural and sideline products are carried out, a priority scheme of the management and the distribution of the agricultural and sideline products is generated, and the inventory replenishment and the to-be-replenished of the agricultural and sideline products can be ensured to be carried out according to the priority, so that the reasonable allocation of resources and the high efficiency of inventory management are realized.

Preferably, step S45 comprises the steps of:

step S451: utilizing the priority inventory replenishment data and the priority inventory replenishment data to replenish the agricultural and sideline products in the warehouse, and generating node replenishment deficiency data when the maximum inventory replenishment data is smaller than the maximum inventory replenishment data;

step S452: according to the node replenishment shortage data, carrying out inventory replenishment priority update on the priority inventory replenishment data to generate updated priority inventory replenishment data, and carrying out warehouse agricultural and sideline product iteration replenishment on the priority inventory to-be-replenished data by utilizing the updated priority inventory replenishment data to generate a node allocation replenishment shortage scheme;

step S453: utilizing the priority inventory replenishment data and the priority inventory replenishment data to replenish the agricultural and sideline products in the warehouse, and generating node replenishment residual data when the maximum inventory replenishment data is not smaller than the maximum inventory replenishment data;

step S454: according to the node replenishment residual data, carrying out inventory replenishment priority update on the priority inventory to-be-replenished data, generating updated priority inventory to-be-replenished data, and carrying out warehouse agricultural and sideline product iterative replenishment on the updated priority inventory to-be-replenished data by utilizing the priority inventory replenishment data, so as to generate a node distribution replenishment residual scheme;

Step S455: and integrating the priority data of the replenishment distribution scheme by the node distribution replenishment shortage scheme and the node distribution replenishment residual scheme to generate an agricultural and sideline product management distribution priority scheme.

According to the invention, agricultural and sideline product replenishment is carried out by utilizing the priority inventory replenishment data and the priority inventory replenishment data, if the most urgent inventory replenishment demand is smaller than the most urgent inventory replenishment demand, node replenishment shortage data is generated, the most urgent inventory demand is ensured to be satisfied, and the occurrence of shortage is prevented. According to the node replenishment shortage data, the priority inventory replenishment priority is updated to generate updated priority inventory replenishment data, the updated priority inventory replenishment data is utilized to iteratively replenish the priority inventory to-be-replenished data, and a node allocation replenishment shortage scheme is generated, and the scheme ensures the priority replenishment of the inventory shortage nodes, so that the inventory management is stabilized. When the stock replenishment data at the maximum value is not smaller than the stock replenishment data at the maximum value, node replenishment residual data are generated, the priority stock replenishment data are updated and iteratively replenished, and a node distribution replenishment residual scheme is generated, so that reasonable distribution and replenishment of the stock are ensured, and optimal utilization of resources is realized. The node distribution replenishment shortage scheme and the priority data of the node distribution replenishment residual scheme are integrated to generate an agricultural and sideline product management allocation priority scheme, and the overall balance of the inventory and the effective distribution of resources are ensured by comprehensively considering the replenishment requirement of the residual replenishment and the shortage among the nodes.

Preferably, step S5 comprises the steps of:

step S51: acquiring coordinate routes of agricultural and sideline product management allocation priorities according to an agricultural and sideline product management allocation priority scheme, and generating intelligent trolley route data;

step S52: carrying out intelligent trolley route optimization on the intelligent trolley route data by using an allocation route optimization algorithm to generate intelligent trolley optimized route data;

step S53: and transmitting the optimized route data of the intelligent trolley to the terminal for agricultural and sideline product warehouse management.

According to the agricultural and sideline product management allocation priority scheme, coordinate route collection of agricultural and sideline product management allocation priorities is carried out, intelligent trolley route data are generated, priority allocation of different agricultural and sideline products is considered, and allocation of different tasks of the intelligent trolley according to the optimal route is ensured. The intelligent trolley route data are optimized by utilizing the distribution route optimization algorithm, intelligent trolley optimized route data are generated, different task nodes can be reasonably ordered and planned by the optimization algorithm, and the optimized route is performed by considering obstacles appearing on the road, so that the driving distance and the driving time are reduced, and the running efficiency of the intelligent trolley is improved. And the optimized intelligent trolley route data is transmitted to the terminal for agricultural and sideline product warehouse management, so that real-time transmission and remote management of the intelligent trolley route data are realized, and monitoring and adjustment of warehouse operation by agricultural and sideline product warehouse manager are supported.

Preferably, the allocation route optimization algorithm in step S52 is as follows:

；

in the method, in the process of the invention,expressed as intelligent trolley optimized route distance, +.>Expressed as the number of obstacles in the intelligent car route,expressed as priority weight related to agricultural and sideline products,/->Expressed as distance travelled involved in the intelligent trolley route, < >>Expressed as the speed of travel involved in the intelligent car, < >>Expressed as the travel planning time involved in the intelligent trolley route,/->An anomaly adjustment value expressed as an intelligent car optimized route distance.

The invention utilizes a distributed route optimization algorithm which comprehensively considers the number of obstacles in the intelligent trolley routePriority weight of agricultural and sideline products>Distance of travel involved in intelligent trolley route +.>Driving speed related to intelligent trolley>Driving planning time involved in intelligent trolley route>And interactions between functions to form a functional relationship:

that is to say,the obstacle of the intelligent trolley is calculated through the functional relation to optimize and calculate the distance of the driving route, so that the driving distance is more accurate. The number of obstacles in the intelligent trolley route is in an actual environment, and the obstacles possibly exist in the route, so that the intelligent trolley can stop, bypass or avoid, and by considering the number of the obstacles, an algorithm can generate an optimal route for avoiding the obstacles, so that the stop and delay in running are reduced; the importance of different agricultural and sideline products may be different, some agricultural and sideline products may be more urgent or critical, the functional relation can consider the differences in route optimization by introducing the priority weights related to the agricultural and sideline products, and the agricultural and sideline products can be ensured to be more focused on the transportation of the critical agricultural and sideline products in the driving process, so that the requirements are met to the greatest extent, and the transportation efficiency of the agricultural and sideline products is improved; the actual condition of the intelligent trolley driving is comprehensively considered through the driving distance related to the intelligent trolley route, the driving speed related to the intelligent trolley and the driving planning time related to the intelligent trolley route, the driving distance influences the time and the cost of the whole journey, the driving speed reflects the driving efficiency, the driving planning time is used for ensuring that the intelligent trolley completes the task within the specified time, the parameters are comprehensively utilized in a functional relation manner, the optimal route is generated, and the intelligent trolley is enabled to drive the shortest in the limited time Distance. Through optimizing the route, the intelligent trolley can complete tasks in the shortest time and at the lowest cost, unnecessary pauses and delays are reduced, in addition, the functional relation can better adapt to actual demands in consideration of the priorities and actual driving conditions of agricultural and sideline products, and the transportation efficiency and management effect of the agricultural and sideline products are improved. Optimizing an abnormality adjustment value of a route distance using an intelligent car +.>The functional relation is adjusted and corrected, and error influence caused by abnormal data or error items is reduced, so that the optimal route distance of the intelligent trolley is accurately generated>The accuracy and the reliability of intelligent trolley route optimization on intelligent trolley route data are improved. Meanwhile, the weight information and the adjustment value in the formula can be adjusted according to actual conditions, and the weight information and the adjustment value are applied to intelligent trolley routes of different nodes, so that the flexibility and the applicability of the algorithm are improved.

The present disclosure provides a system for managing storage of agricultural and sideline products, for executing the method for managing storage of agricultural and sideline products, the system for managing storage of agricultural and sideline products includes:

the warehouse agricultural and sideline product data acquisition module is used for acquiring management warehouse data of agricultural and sideline products; performing target management warehouse data screening on management warehouse data according to preset target management warehouse data information to generate target management warehouse data; the method comprises the steps of collecting warehouse agricultural and sideline product data of target management warehouse data in real time, and generating real-time warehouse agricultural and sideline product data;

The warehouse communication matrix building module is used for building a communication matrix framework of the agricultural and sideline warehouse by utilizing network transmission equipment and a network transmission protocol, and filling data of communication matrix nodes by utilizing real-time warehouse agricultural and sideline product data to generate a warehouse communication matrix;

the warehouse communication matrix node dividing module is used for dividing the replenishment nodes and the nodes to be replenished of the warehouse communication matrix to the warehouse communication matrix, and respectively generating the replenishment nodes and the nodes to be replenished;

the agricultural and sideline product management allocation priority scheme module is used for calculating and sequencing inventory replenishment data of replenishment nodes and generating priority inventory replenishment data; the node to be replenished is subjected to inventory replenishment data calculation and sequencing to generate priority inventory replenishment data; according to the priority inventory replenishment data and the priority inventory to-be-replenished data, agricultural and sideline product management and allocation are carried out, and an agricultural and sideline product management and allocation priority scheme is generated;

and the intelligent trolley route planning module is used for collecting and optimizing coordinate routes of the agricultural and sideline product management allocation priorities according to the agricultural and sideline product management allocation priority scheme, generating intelligent trolley optimized route data, and transmitting the intelligent trolley optimized route data to the terminal for agricultural and sideline product warehouse management.

The application has the beneficial effects that by collecting and analyzing a large amount of warehouse data in real time, not only the inventory safety value is determined based on the actual situation, but also the agricultural and sideline product management and allocation priority scheme is formulated according to the priority inventory replenishment and the data to be replenished, so that the inventory management in the warehouse is not dependent on manual subjective judgment any more, but is established on the basis of accurate data and intelligent decision, and the risk caused by excessive or insufficient inventory is effectively reduced. By means of calculation, sequencing and priority updating of inventory replenishment data, accuracy and urgency of inventory replenishment are guaranteed, complex interaction of a plurality of task nodes is considered in optimization of intelligent trolley routes, an optimal path is found through an algorithm, and therefore energy consumption and transportation time are reduced. This results in a significant increase in the utilization of warehouse resources. Through marking of the replenishment nodes and the nodes to be replenished and formulation of a replenishment scheme, dynamic balance of the inventory is realized, inventory replenishment and allocation strategies are optimized according to actual demands, stability of the inventory is ensured, excess or shortage of the inventory is avoided, and stability and reliability of warehouse operation are improved. By establishing the communication matrix and monitoring the data of agricultural and sideline products of the warehouse in real time, the method realizes the rapid transmission and real-time sharing of information among nodes in the warehouse, and the remote transmission of the intelligent trolley optimized route data supports the real-time monitoring and adjustment of warehouse operation by warehouse management personnel, so that the management personnel can make decisions and respond to changes more rapidly. Through inventory replenishment data calculation and priority sequencing, intelligent trolley route optimization and inventory allocation scheme formulation, warehouse operation is more efficient, unnecessary waiting time and multiple replenishment are reduced by a reasonable inventory replenishment and allocation strategy, meanwhile, driving distance is reduced by intelligent trolley optimized route data, and warehouse operation efficiency is remarkably improved.

Drawings

FIG. 1 is a schematic flow chart of steps of a warehouse management method for agricultural and sideline products according to the present invention;

FIG. 2 is a flowchart illustrating the detailed implementation of step S3 in FIG. 1;

FIG. 3 is a flowchart illustrating the detailed implementation of step S4 in FIG. 1;

the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

The following is a clear and complete description of the technical method of the present patent in conjunction with the accompanying drawings, and it is evident that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.

Furthermore, the drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. The functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor methods and/or microcontroller methods.

It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.

In order to achieve the above objective, referring to fig. 1 to 3, the present invention provides a method for warehouse management of agricultural and sideline products, comprising the following steps:

step S4: inventory replenishment data calculation and sequencing are carried out on the replenishment nodes, and priority inventory replenishment data are generated; the node to be replenished is subjected to inventory replenishment data calculation and sequencing to generate priority inventory replenishment data; and carrying out agricultural and sideline product management and distribution according to the priority inventory replenishment data and the priority inventory to-be-replenished data, and generating an agricultural and sideline product management and distribution priority scheme.

In the embodiment of the present invention, as described with reference to fig. 1, the step flow diagram of a method for managing storage of agricultural and sideline products according to the present invention is provided, and in the embodiment, the method for managing storage of agricultural and sideline products includes the following steps:

in the embodiment of the invention, in the agricultural and sideline product warehouse management system, management data of each warehouse, such as warehouse A, warehouse B and warehouse C, which respectively store agricultural and sideline products such as corn, soybean, wheat and the like, are acquired, and the stock quantity, the cargo type, the position information and the like of each warehouse are acquired. Screening warehouse data based on a preset target. Assuming our goal is to ensure that the inventory is no less than 500 units of warehouse data, warehouse a and warehouse C are screened out because their inventory meets the preset goal. The data of the target management warehouse is collected in real time, and the warehouse A is taken as an example, the soybean inventory is monitored in real time through a sensor and data collection equipment, and the soybean inventory is updated at intervals, so that the data of agricultural and sideline products of the real-time warehouse is generated, and the latest condition of agricultural and sideline products in the warehouse is reflected in real time.

in the embodiment of the invention, it is assumed that we have three farm and sideline warehouses: warehouse a, warehouse B, and warehouse C. Using ethernet as the network transport device and TCP/IP as the network transport protocol, a 3x3 communication matrix is created, where each node represents a repository. And filling data of the communication matrix nodes by utilizing the real-time warehouse agricultural and sideline product data. For example, assuming a corn stock of 500 in warehouse a, we populate this value into node a of the communication matrix, thereby obtaining the warehouse communication matrix.

in the embodiment of the invention, the warehouse communication matrix is divided into the replenishment node and the node to be replenished, and the lists of the two nodes are respectively generated. Continuing to use our previously established communication matrix as an example. Assuming that we set a threshold value, when the warehouse stock is lower than the threshold value, dividing the warehouse stock into nodes to be replenished; when the warehouse stock quantity is equal to or higher than the threshold value, the warehouse stock quantity is divided into replenishment nodes. Assume that the threshold is 300 units.

Based on this threshold, we divide the warehouse in the communication matrix as: and (3) supplying nodes: warehouse a, warehouse C (because their stock amounts are all 300 or more); node to be replenished: warehouse B (because its inventory is below 300). Next, we generate a list of replenishment nodes and nodes to be replenished, respectively: list of replenishment nodes: warehouse a, warehouse C ]; list of nodes to be replenished: warehouse B;

In the embodiment of the invention, taking the replenishment node as an example, assuming that we have a warehouse A and a warehouse C, which store corn and wheat respectively, and replenishment is needed, we first calculate the priority of the replenishment node, for example, the replenishment node A stores more, and the priority is higher than that of C. The node to be replenished is calculated and ordered, and the node to be replenished is ordered according to the priority of the node to be replenished, so that the data to be replenished is obtained. Based on the priority stock replenishment data and the priority stock replenishment data to be subjected to management and distribution of agricultural and sideline products, for example, a scheme can be formulated, and the stock replenishment data with high priority is replenished first, and then the stock replenishment data to be subjected to the management and distribution is considered.

In the embodiment of the invention, taking the previous priority scheme as an example, assuming that the priority inventory replenishment data warehouses A and C are selected as the primary replenishment targets, the routes of the intelligent trolleys are acquired and optimized based on the position information of the warehouses, so that efficient inventory replenishment is realized. And acquiring a coordinate route of the intelligent trolley according to the position information of the warehouses A and C. Considering road conditions and traffic conditions, we can use algorithms of path planning to determine optimal routes, implement replenishment tasks in the shortest time and with the least resources, optimize collected routes to reduce travel distance or minimize time consumption. In this way we get optimized route data for the intelligent car. The intelligent trolley optimized route data are transmitted to a terminal device for actual agricultural and sideline product warehouse management, and the terminal device can be a mobile device of an operator or a control system connected to the intelligent trolley. By transmitting the optimized route data, the intelligent trolley can efficiently complete the replenishment task according to the priority scheme, and warehouse management of agricultural and sideline products is realized.

Preferably, step S1 comprises the steps of:

In the embodiment of the invention, the management data of each warehouse is acquired through the management system connected to the agricultural byproduct warehouse, for example, a warehouse database is accessed by a user, and the information of the inventory, the cargo types, the positions and the like of the warehouse A, the warehouse B and the warehouse C is obtained. Based on preset agricultural and sideline product warehouse management targets, screening target management warehouse data is carried out on the data, for example, the target is set to screen warehouse data with the stock exceeding 1000 units, and after screening, the target management warehouse data comprising warehouse A and warehouse C is obtained. According to the target management warehouse data, the monitoring management node data of agricultural and sideline products are extracted, taking warehouse A as an example, we pay attention to the stock condition of the cargo type of corn, and the monitoring data of the cargo type are extracted. And acquiring the extracted monitoring node data in real time by using sensor equipment. Assuming an inventory of corn in warehouse a of 800 units, the sensor monitors and records this value in real time. In this way, we generate real-time warehouse agricultural and sideline product data, which instantly reflects the inventory status of agricultural and sideline products in the warehouse.

Preferably, step S2 comprises the steps of:

In the embodiment of the invention, the communication matrix architecture of the farm and sideline warehouse is established through the network transmission equipment and the network transmission protocol, and three farm and sideline warehouses are assumed: warehouse a, warehouse B, and warehouse C. An Ethernet network is selected as a network transmission device, TCP/IP is adopted as a network transmission protocol, and a 3x3 communication matrix architecture is created according to the network transmission device and the network transmission protocol, wherein each node represents a warehouse. Next, the nodes of the communication matrix are data-populated with real-time warehouse agricultural and sideline product data in the communication matrix architecture, e.g., the inventory of corn in warehouse a is 800 units, and we populate this value into node a of the communication matrix to generate the warehouse communication matrix.

Preferably, step S3 comprises the steps of:

As an example of the present invention, referring to fig. 2, a detailed implementation step flow diagram of step S3 in fig. 1 is shown, where step S3 includes:

in the embodiment of the invention, the stock safety value of the target management warehouse data is calculated by utilizing a warehouse agricultural and sideline product stock safety value algorithm, and the warehouse agricultural and sideline product stock safety value of the warehouse A and the warehouse C are respectively obtained to be 200 and 180 on the assumption that the warehouse A and the warehouse C are calculated.

in the embodiment of the invention, the agricultural and sideline product inventory condition of each node is monitored in real time in a warehouse communication matrix, when the real-time warehouse agricultural and sideline product data of a certain node is not smaller than the corresponding inventory safety value, the node is marked as a replenishing node, for example, the real-time corn inventory of a warehouse A is 300 and is larger than the inventory safety value 200, and the node A is marked as the replenishing node.

In the embodiment of the invention, real-time agricultural and sideline product inventory data of a warehouse communication matrix node is continuously monitored, when the real-time warehouse agricultural and sideline product data of a certain node is smaller than a corresponding inventory safety value, the node is marked as a node to be replenished, for example, the real-time wheat inventory of a warehouse C is 150 and smaller than an inventory safety value 180, and the node C is marked as the node to be replenished.

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in the method, in the process of the invention,expressed as warehouse agricultural and sideline product inventory safety value, < >>Expressed as the number of agricultural by-products species,/-, and>expressed as the end time of the warehouse agricultural and sideline product inventory period of analysis, +.>Expressed as the start time of the warehouse agricultural and sideline product inventory period of analysis, +.>An initial inventory security value expressed as agricultural and sideline product category,/- >Denoted as +.>Historical stock data of agricultural and sideline products +.>The current time, expressed as analysis warehouse agricultural and sideline products inventory time period,/, is->Denoted as +.>The demand of agricultural and sideline products +.>Denoted as +.>Current stock quantity of agricultural by-products, < ->Denoted as +.>Subsequent consumption rate of agricultural by-products, < ->Denoted as +.>Consumption rate of agricultural and sideline products +.>An anomaly adjustment value expressed as a warehouse farm and sideline product inventory safety value.

The invention utilizes a warehouse agricultural and sideline product inventory safety value algorithm which comprehensively considers the types and the quantity of agricultural and sideline productsAnalyzing the end time of warehouse farm and sideline products inventory period +.>Analyzing the start time of warehouse agricultural and sideline product inventory period +.>Initial inventory safety value for farm and sideline product category +.>First->Historical inventory data of agricultural and sideline products +.>Analyzing the current time of warehouse farm and sideline product inventory period +.>First->The demand of agricultural and sideline products>First->Current stock of agricultural by-products +.>First->Subsequent consumption rate of agricultural by-products +.>First->Consumption rate of agricultural and sideline products>And interactions between functions to form a functional relationship:

that is to say,the functional relation is used for determining whether the warehouse needs to be supplemented with the agricultural and sideline products by calculating the safety value of the agricultural and sideline products in the warehouse. Considering that the types and the numbers of different agricultural and sideline products have different characteristics and requirements, the algorithm introduces the types and the number parameters, and can perform personalized inventory safety value calculation aiming at different products so as to better meet the actual requirements; by analyzing the stock conditions of the end time and the start time of the stock time period of the agricultural and sideline products in the warehouse, the algorithm can more accurately analyze the periodical conditions of the stock to determine the safety value of the stock, so that the stock safety value is more targeted; initial inventory safety value for agricultural and sideline product category and +. >Historical inventory data of agricultural and sideline products reflects past inventory conditions, facilitates estimation of future demands, takes past information into consideration, and thereby more accurately infers future inventory changes; consider->The demand of agricultural and sideline products and the +.>The current stock quantity of agricultural and sideline products is weighed, so that the algorithm can better cope with the situation of stock shortage; by analysis of->The subsequent consumption rate and consumption rate of agricultural and sideline products can be used for predicting the trend of future inventory consumption better, so that the prediction of the functional relation on the inventory demand is more accurate, and more information is provided for the calculation of the inventory safety value. By dynamically calculating the agricultural and sideline product inventory security value, it can provide more for warehouse managerDeep and accurate decision support helps them to balance the inventory and optimize management and replenishment strategies for agricultural and sideline products, thereby improving inventory management efficiency and cost control. Abnormal adjustment value +.>The functional relation is adjusted and corrected, and error influence caused by abnormal data or error items is reduced, so that warehouse agricultural and sideline product inventory safety values are generated more accurately >The accuracy and the reliability of the calculation of the inventory safety value of the agricultural and sideline products of the warehouse on the target management warehouse data are improved. Meanwhile, the adjustment value in the formula can be adjusted according to actual conditions and is applied to different target management warehouse data, so that the flexibility and applicability of the algorithm are improved.

Preferably, step S4 comprises the steps of:

As an example of the present invention, referring to fig. 3, a detailed implementation step flow diagram of step S4 in fig. 1 is shown, where step S4 includes:

in the embodiment of the invention, the difference between the real-time warehouse agricultural and sideline product data of the replenishment node and the corresponding warehouse agricultural and sideline product inventory safety value is calculated to obtain inventory replenishment data, for example, the real-time corn inventory of warehouse A is 500, the inventory safety value is 200, and the difference is 300, so that the inventory replenishment data of warehouse A is obtained.

in the embodiment of the invention, in the inventory replenishment data obtained by calculation, priority ranking is performed on replenishment nodes, priority inventory replenishment data is generated, the emergency degree of replenishment can be determined according to the magnitude of the difference value, and then the replenishment nodes are ranked.

In the embodiment of the invention, the difference between the real-time warehouse agricultural and sideline product data of the node to be replenished and the corresponding warehouse agricultural and sideline product inventory safety value is calculated to obtain the inventory data to be replenished, for example, the real-time wheat inventory of the warehouse C is 150, the inventory safety value is 200, and the difference is-50, so that the inventory data to be replenished of the warehouse C is obtained.

in the embodiment of the invention, the priority ranking is performed on the inventory to-be-replenished data, and the priority inventory to-be-replenished data is generated, and similarly to the step S42, the emergency degree of to-be-replenished is determined according to the magnitude of the difference value, and then the nodes to be replenished are ranked.

In the embodiment of the invention, management and allocation of agricultural and sideline products are performed according to the priority inventory replenishment data and the priority inventory replenishment data, for example, a strategy can be adopted, replenishment data with high priority is replenished to the replenishment data with high priority, if the replenishment data with highest priority is smaller than the replenishment data with the largest priority, the replenishment data with suboptimal replenishment data is used for replenishing the optimal replenishment data after replenishment, so that a priority scheme for management and allocation of agricultural and sideline products is generated.

Preferably, step S45 comprises the steps of:

In the embodiment of the invention, the priority inventory replenishment data and the priority inventory replenishment data are utilized to carry out replenishment calculation of warehouse agricultural and sideline products, the maximum inventory replenishment data and the maximum inventory replenishment data are compared, if the maximum inventory replenishment data is smaller than the maximum inventory replenishment data, the situation that replenishment is insufficient under the current inventory replenishment scheme is described, node replenishment shortage data are generated, and the replenishment data shortage of which nodes are recorded. And if the optimal replenishment node of the priority inventory replenishment data is smaller than the optimal replenishment node of the priority inventory replenishment data, replenishing the optimal replenishment node by using the largest replenishment node except the optimal replenishment node, and thus iteratively and reciprocally generating a node allocation replenishment shortage scheme. And (3) carrying out replenishment calculation of warehouse agricultural and sideline products by utilizing the priority inventory replenishment data and the priority inventory replenishment data again, and if the maximum inventory replenishment data is not smaller than the maximum inventory replenishment data, indicating that replenishment remains under the current inventory replenishment scheme. We generate node replenishment residual data, recording which nodes' replenishment data remain. Step S454 is similar to step S452, and a scheme is generated when the maximum inventory replenishment data of the priority replenishment data is not smaller than the maximum inventory replenishment data of the priority replenishment data. The priority level data of the node distribution replenishment shortage scheme and the priority level data of the node distribution replenishment residual scheme are integrated, and the priority level scheme of the management distribution of agricultural and sideline products is generated.

Preferably, step S5 comprises the steps of:

In the embodiment of the invention, the coordinate route acquisition of the agricultural and sideline product management allocation priority is performed according to the agricultural and sideline product management allocation priority scheme, and the initial route data of the intelligent trolley is generated by taking warehouses A, B and C as examples, assuming that we allocate the priority scheme, determining the route sequence from A to B and from B to C, recording the coordinate and the route sequence of each warehouse. On the basis of the intelligent trolley route data, the route is optimized by using an allocation route optimization algorithm, for example, the shortest route distance between the nodes and the problems of possible obstacles and the like between the nodes are considered, so that the shortest route and the optimal allocation are realized, and the intelligent trolley route data is obtained through iterative calculation of the algorithm, which is an optimized optimal route scheme. The intelligent trolley optimizing route data are transmitted to the terminal for carrying out agricultural and sideline product warehouse management, and the terminal equipment can guide the operation of the intelligent trolley in real time through the transmission route data, so that the management and the distribution of the agricultural and sideline products are ensured according to the optimized route, and the warehouse management efficiency and accuracy are improved.

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In the method, in the process of the invention,expressed as intelligent trolley optimized route distance, +.>Expressed as the number of obstacles in the intelligent car route,expressed as priority weight related to agricultural and sideline products,/->Expressed as distance travelled involved in the intelligent trolley route, < >>Expressed as the speed of travel involved in the intelligent car, < >>Expressed as the travel planning time involved in the intelligent trolley route,/->An anomaly adjustment value expressed as an intelligent car optimized route distance. />

The invention utilizes a distribution routeThe algorithm comprehensively considers the number of obstacles in the intelligent trolley routePriority weight of agricultural and sideline products>Distance of travel involved in intelligent trolley route +.>Driving speed related to intelligent trolley>Driving planning time involved in intelligent trolley route>And interactions between functions to form a functional relationship:

that is to say,the obstacle of the intelligent trolley is calculated through the functional relation to optimize and calculate the distance of the driving route, so that the driving distance is more accurate. The number of obstacles in the intelligent trolley route is in an actual environment, and the obstacles possibly exist in the route, so that the intelligent trolley can stop, bypass or avoid, and by considering the number of the obstacles, an algorithm can generate an optimal route for avoiding the obstacles, so that the stop and delay in running are reduced; the importance of different agricultural and sideline products may be different, some agricultural and sideline products may be more urgent or critical, the functional relation can consider the differences in route optimization by introducing the priority weights related to the agricultural and sideline products, and the agricultural and sideline products can be ensured to be more focused on the transportation of the critical agricultural and sideline products in the driving process, so that the requirements are met to the greatest extent, and the transportation efficiency of the agricultural and sideline products is improved; the actual running situation of the intelligent trolley is comprehensively considered through the running distance related to the intelligent trolley route, the running speed related to the intelligent trolley and the running planning time related to the intelligent trolley route, and the running distance influences the whole vehicle The travel speed reflects the travel efficiency, the travel planning time is used for ensuring that the intelligent trolley completes tasks within a specified time, the parameters are comprehensively utilized by a functional relation formula, an optimal route is generated, and the intelligent trolley travels for the shortest distance within a limited time. Through optimizing the route, the intelligent trolley can complete tasks in the shortest time and at the lowest cost, unnecessary pauses and delays are reduced, in addition, the functional relation can better adapt to actual demands in consideration of the priorities and actual driving conditions of agricultural and sideline products, and the transportation efficiency and management effect of the agricultural and sideline products are improved. Optimizing an abnormality adjustment value of a route distance using an intelligent car +.>The functional relation is adjusted and corrected, and error influence caused by abnormal data or error items is reduced, so that the optimal route distance of the intelligent trolley is accurately generated>The accuracy and the reliability of intelligent trolley route optimization on intelligent trolley route data are improved. Meanwhile, the weight information and the adjustment value in the formula can be adjusted according to actual conditions, and the weight information and the adjustment value are applied to intelligent trolley routes of different nodes, so that the flexibility and the applicability of the algorithm are improved.

the agricultural and sideline product management allocation priority scheme module is used for calculating and sequencing inventory replenishment data of replenishment nodes and generating priority inventory replenishment data; the node to be replenished is subjected to inventory replenishment data calculation and sequencing to generate priority inventory replenishment data; and carrying out agricultural and sideline product management and distribution according to the priority inventory replenishment data and the priority inventory to-be-replenished data, and generating an agricultural and sideline product management and distribution priority scheme.

The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.

The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. The agricultural and sideline product warehouse management method is characterized by comprising the following steps of:

step S3: comprising the following steps:

step S33: monitoring the agricultural and sideline product inventory of the warehouse communication matrix nodes in real time, and when the real-time warehouse agricultural and sideline product data of the warehouse communication matrix is smaller than the warehouse agricultural and sideline product inventory safety value, marking the nodes of the warehouse communication matrix corresponding to the real-time warehouse agricultural and sideline product data with nodes to be replenished to generate the nodes to be replenished of the warehouse communication matrix;

Step S4, including:

step S43: performing difference value calculation on the real-time warehouse agricultural and sideline product data of the nodes to be replenished and warehouse agricultural and sideline product inventory safety values corresponding to the nodes to be replenished to generate inventory data to be replenished;

step S45, including:

step S452: according to the node replenishment shortage data, carrying out inventory replenishment priority update on the priority inventory replenishment data to generate updated priority inventory replenishment data, and carrying out warehouse agricultural and sideline product iteration replenishment on the priority inventory replenishment data by utilizing the updated priority inventory replenishment data, wherein when the optimal replenishment node of the priority inventory replenishment data is smaller than the optimal replenishment node of the priority inventory replenishment data, the optimal replenishment node is replenished by utilizing the largest replenishment node except the optimal replenishment node, so that a node allocation replenishment shortage scheme is generated;

step S455: integrating the priority data of the replenishment distribution scheme by the node distribution replenishment shortage scheme and the node distribution replenishment residual scheme to generate an agricultural and sideline product management distribution priority scheme;

2. The agricultural byproduct warehousing management method according to claim 1, wherein the step S1 includes the steps of:

3. The agricultural byproduct warehousing management method according to claim 2, wherein the step S2 includes the steps of:

4. A method of agricultural and sideline product inventory management as claimed in claim 3, wherein the warehouse agricultural and sideline product inventory security value algorithm in step S31 is as follows:

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In the method, in the process of the invention,expressed as warehouse agricultural and sideline product inventory safety value, < >>Expressed as the number of agricultural by-products species,/-, and>expressed as the end time of the warehouse agricultural and sideline product inventory period of analysis, +.>Expressed as the start time of the warehouse agricultural and sideline product inventory period of analysis, +.>An initial inventory security value expressed as agricultural and sideline product category,/->Denoted as +.>Historical inventory data for agricultural and sideline products,the current time, expressed as analysis warehouse agricultural and sideline products inventory time period,/, is->Denoted as +.>The required amount of agricultural and sideline products,denoted as +.>Current stock quantity of agricultural by-products, < ->Denoted as +.>Subsequent consumption rate of agricultural by-products, < ->Denoted as +.>Consumption rate of agricultural and sideline products +.>An anomaly adjustment value expressed as a warehouse farm and sideline product inventory safety value.

5. The agricultural byproduct warehousing management method according to claim 4, wherein the step S5 includes the steps of:

6. The agricultural byproduct warehousing management method according to claim 5, wherein the distribution route optimization algorithm in step S52 is as follows:

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in the method, in the process of the invention,expressed as intelligent trolley optimized route distance, +.>Represented asNumber of obstacles in intelligent trolley route, < ->Expressed as priority weight related to agricultural and sideline products,/->Expressed as distance travelled involved in the intelligent trolley route, < >>Expressed as the speed of travel involved in the intelligent car, < >>Expressed as the travel planning time involved in the intelligent trolley route,/->An anomaly adjustment value expressed as an intelligent car optimized route distance.

7. An agricultural and sideline product warehouse management system, for performing an agricultural and sideline product warehouse management method as claimed in any one of claims 1-6, comprising: