A dynamically adjusted warehouse equipment operation management method and system

Abstract

The present invention discloses a dynamically adjusted warehouse equipment operation management method and system, which belongs to the field of warehouse management, wherein the method includes: collecting parameters of multiple stackers; obtaining multiple stability parameters according to the parameters of multiple stackers; obtaining the predetermined stacking positions of multiple stored items, formulating multiple stacking planning information, and obtaining value information and vulnerability information of multiple stored items; obtaining busyness information of multiple target devices; constructing a stacking task function for stacking task management, optimizing the stacking scheme, and obtaining the optimal stacking scheme; using the optimal stacking scheme to perform operation management on multiple target devices. The present application solves the technical problem that the prior art lacks refined management of warehouse equipment operation, resulting in low safety and efficiency of warehouse equipment operation, and achieves the technical effect of improving the safety and efficiency of warehouse equipment operation by combining the equipment operation status with the actual needs of stored items.

Description

Technical Field

[0001] The present invention relates to the field of warehouse management, and in particular to a dynamically adjusted warehouse equipment operation management method and system. Background Art

[0002] With the rapid development of the warehousing industry, higher requirements have been placed on the operation and management of warehouse equipment. However, in the prior art, stackers often pre-set their moving routes, stacking positions, and stored items to be lifted based on the manager's experience, and operate according to the preset operation mode. They cannot achieve dynamic and refined management based on the actual attributes of the stored items and the status of the equipment itself. When the demand for stored items and the status of the equipment change, the preset operation mode is difficult to ensure the efficiency and safety of the warehouse equipment. Summary of the invention

[0003] The present application provides a dynamically adjusted warehouse equipment operation management method and system, aiming to solve the technical problem in the prior art of lack of refined management of warehouse equipment operation, resulting in low safety and efficiency of warehouse equipment operation.

[0004] In view of the above problems, the present application provides a dynamically adjusted warehouse equipment operation management method and system.

[0005] The first aspect disclosed in the present application provides a dynamically adjusted warehouse equipment operation management method, the method comprising: collecting operating parameters of multiple target devices in a target warehouse within a preset historical time range, and test parameters for operating tests on the multiple target devices, wherein the target device is a stacker; analyzing the moving stability, stacking stability and lifting stability of the multiple target devices according to the multiple operating parameters and the multiple test parameters, and obtaining multiple moving stability parameters, multiple stacking stability parameters and multiple lifting stability parameters; obtaining the predetermined stacking positions of multiple stored items, formulating multiple stacking planning information, and obtaining value information and fragility information of multiple stored items, wherein the stacking planning information includes moving distance, stacking distance and lifting quality; obtaining the current busyness information of the multiple target devices; constructing a stacking task function for stacking task management of the multiple target devices, and optimizing the stacking scheme of the multiple target devices for multiple stored items according to the multiple busyness information, multiple moving stability parameters, multiple stacking stability parameters, multiple lifting stability parameters and multiple stacking planning information to obtain the optimal stacking scheme; adopting the optimal stacking scheme to operate and manage the multiple target devices.

[0006] Another aspect disclosed in the present application provides a dynamically adjusted warehouse equipment operation management system, the system comprising: an equipment parameter acquisition module, used to collect the operation parameters of multiple target equipment in a target warehouse within a preset historical time range, and test parameters for operating the multiple target equipment, wherein the target equipment is a stacker; a stability analysis module, used to analyze the movement stability, stacking stability and lifting stability of the multiple target equipment according to the multiple operation parameters and the multiple test parameters, and obtain multiple movement stability parameters, multiple stacking stability parameters and multiple lifting stability parameters; a planning information formulation module, used to obtain the predetermined stacking positions of the current multiple stored items, and formulate multiple stacking planning information parameters. Planning information, and obtain value information and vulnerability information of multiple stored items, wherein the stacking planning information includes moving distance, stacking distance and lifting quality; a busyness information acquisition module, used to obtain the current busyness information of multiple target devices; an optimal solution acquisition module, used to construct a stacking task function for stacking task management of multiple target devices, and optimize the stacking scheme of multiple target devices for multiple stored items according to multiple busyness information, multiple moving stability parameters, multiple stacking stability parameters, multiple lifting stability parameters and multiple stacking planning information to obtain the optimal stacking scheme; an equipment operation management module, used to adopt the optimal stacking scheme to perform operation management on multiple target devices.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] The historical operating parameters and test parameters of multiple devices in the target warehouse are collected to evaluate the stability of the equipment operation, which is the basic data for realizing subsequent dynamic management; the moving stability parameters, stacking stability parameters and lifting stability parameters of the equipment are obtained according to the analysis of the operating parameters and test parameters to evaluate the equipment operation stability and provide a basis for formulating dynamic management plans; the stacking position and attribute information of the stored items and the busyness information of the equipment are obtained, and combined with the actual demand conditions, they are used to formulate management optimization plans; on this basis, a stacking task function is constructed, and the optimal plan is derived according to various parameters and information to realize the dynamic and refined management of equipment stacking; the optimal stacking plan obtained by derivation is used to carry out the operation management of the storage equipment, and the technical plan for dynamic and refined equipment operation management is completed, which solves the technical problem that the existing technology lacks refined management of the warehouse equipment operation, resulting in the safety and low efficiency of the warehouse equipment operation, and achieves the technical effect of improving the safety and efficiency of the warehouse equipment operation by combining the equipment operation status with the actual demand of the stored items.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A flowchart of a dynamically adjusted warehouse equipment operation management method is provided for an embodiment of the present application;

[0011] Figure 2 A schematic flow chart of obtaining an optimal stacking solution in a dynamically adjusted warehouse equipment operation management method is provided for an embodiment of the present application;

[0012] Figure 3 A structural schematic diagram of a dynamically adjusted warehouse equipment operation management system is provided for an embodiment of the present application.

[0013] Explanation of reference numerals: equipment parameter acquisition module 11 , stability analysis module 12 , planning information formulation module 13 , busyness information acquisition module 14 , optimal solution acquisition module 15 , equipment operation management module 16 . DETAILED DESCRIPTION

[0014] The overall idea of ​​the technical solution provided by this application is as follows:

[0015] The embodiments of the present application provide a dynamically adjusted warehouse equipment operation management method and system. First, the historical operating parameters and test parameters of multiple devices in the target warehouse are collected to provide basic data for dynamic management. Then, the stability of the equipment is analyzed based on the operating parameters and test parameters to provide a basis for formulating a dynamic management plan. At the same time, the stacking position and attribute information of the stored items, as well as the busyness information of the equipment, are obtained, and a management optimization plan is formulated in combination with the actual demand conditions. Subsequently, a stacking task function is constructed to obtain the optimal stacking plan based on various parameters and information. Finally, the optimal stacking plan is adopted to carry out the operation management of the storage equipment, and efficient and safe warehouse equipment operation management is completed.

[0016] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically described below in conjunction with the drawings in the specification.

[0017] Embodiment 1

[0018] like Figure 1 As shown, the embodiment of the present application provides a dynamically adjusted warehouse equipment operation management method, the method comprising:

[0019] Collecting operating parameters of multiple target devices in a target warehouse within a preset historical time range, and test parameters of operating tests on multiple target devices, wherein the target device is a stacker;

[0020] Furthermore, this step includes:

[0021] Collecting the number of preset accidents that occur during the moving, stacking, and lifting processes of the multiple target devices within a preset historical time range, and obtaining multiple accident number sets as multiple operating parameter sets, each accident number set including the number of moving accidents, the number of stacking accidents, and the number of lifting accidents;

[0022] Using preset test conditions, the multiple target devices are tested during movement, stacking and lifting, the vibration amplitude information of the devices during the test is obtained, and multiple test information sets are obtained, each test information set including movement vibration information, stacking vibration information and lifting vibration information.

[0023] In a feasible implementation, first, for each stacker in the target warehouse, the number of preset accidents that occurred during its movement within a preset historical time range is counted to obtain the number of movement accidents; the number of preset accidents that occurred during its stacking process within a preset historical time range is counted to obtain the number of stacking accidents; the number of preset accidents that occurred during its lifting process within a preset historical time range is counted to obtain the number of lifting accidents. Then, the number of movement accidents, stacking accidents and lifting accidents of each stacker are combined into an accident number set, namely, an operating parameter set. Each operating parameter set corresponds to the accident statistics information of the movement, stacking and lifting processes of a stacker. By acquiring the operating parameters of multiple stackers in the target warehouse, multiple operating parameter sets are obtained.

[0024] Subsequently, the preset test conditions are used to test multiple target devices during the moving, stacking and lifting processes, wherein the preset test conditions include testing the moving, stacking and lifting processes of the stacker under specific loads. For example, three loads of 10kg, 20kg and 30kg are set, and the moving, stacking and lifting processes of the stacker are tested under each load, and the vibration amplitude information measured by the sensor during the test is obtained, including moving vibration information, stacking vibration information and lifting vibration information. For each target device, a set of vibration amplitude information is obtained as a test information set, thereby obtaining multiple test information sets.

[0025] By obtaining the operating parameters and test parameters of the stacker crane, a data basis is provided for evaluating the moving stability, stacking stability and lifting stability of the stacker crane from two dimensions: operating data and test data.

[0026] Analyzing the movement stability, stacking stability and lifting stability of the plurality of target devices according to the plurality of operating parameters and the plurality of test parameters to obtain a plurality of movement stability parameters, a plurality of stacking stability parameters and a plurality of lifting stability parameters;

[0027] Furthermore, this step includes:

[0028] Acquire multiple sample accident number sets, and calculate and evaluate multiple sample movement stability parameter sets, multiple sample stacking stability parameter sets, and multiple sample lifting stability parameter sets;

[0029] Acquire multiple sample test information sets, and calculate and evaluate multiple sample test moving stability parameter sets, multiple sample test stacking stability parameter sets, and multiple sample test lifting stability parameter sets;

[0030] Using the multiple sample accident number sets as input, using the multiple sample movement stability parameter sets, the multiple sample stacking stability parameter sets and the multiple sample lifting stability parameter sets as output, constructing an operation stability analysis channel, wherein the operation stability analysis channel includes three operation stability analysis branches;

[0031] Using the multiple sample test information sets as input, using the multiple sample test moving stability parameter sets, the multiple sample test stacking stability parameter sets and the multiple sample test lifting stability parameter sets as output, constructing a test stability analysis channel, wherein the test stability analysis channel includes three test stability analysis branches;

[0032] Based on the operation stability analysis channel and the test stability analysis channel, the multiple operation parameter sets and the multiple test information sets are identified to obtain the multiple operation movement stability parameters, the multiple operation stacking stability parameters and the multiple operation lifting stability parameters, as well as the multiple test movement stability parameters, the multiple test stacking stability parameters and the multiple test lifting stability parameters;

[0033] Weighted calculations are performed on multiple operating movement stability parameters, multiple operating stacking stability parameters, multiple operating lifting stability parameters, multiple test moving stability parameters, multiple test stacking stability parameters and multiple test lifting stability parameters respectively to obtain the multiple movement stability parameters, multiple stacking stability parameters and multiple lifting stability parameters.

[0034] In a feasible implementation, first, query the historical database, select the operation records of the stacker in the past 5 years as the sample source, and use a random sampling algorithm to select multiple operation sample records from the sample source. Then, for each operation sample record, extract the number of accidents in the moving process, the number of accidents in the stacking process, and the number of accidents in the lifting process to form a plurality of sample accident number sets. Subsequently, the expert group establishes an event rating table to specify the stability level corresponding to different accident number ranges. For each sample accident number set, find the level corresponding to the number of accidents in the moving process, the number of accidents in the stacking process, and the number of accidents in the lifting process as the sample operation movement stability parameter, the sample operation stacking stability parameter, and the sample operation lifting stability parameter, and obtain multiple sample operation movement stability parameter sets, multiple sample operation stacking stability parameter sets, and multiple sample operation lifting stability parameter sets. Next, connect to the test database, query the test sample records corresponding to the multiple operation sample records, and for each test sample record, extract the test vibration information of the moving process, the test vibration information of the stacking process, and the test vibration information of the lifting process to form a plurality of sample test information sets. Afterwards, the expert group establishes a vibration rating table to specify the stability level corresponding to different vibration amplitude ranges. For each sample test information set, find the levels corresponding to its vibration information during the movement, the vibration information during the stacking process and the vibration information during the lifting process as the sample test movement stability parameters, the sample test stacking stability parameters and the sample test lifting stability parameters, and obtain multiple sample test movement stability parameter sets, multiple sample test stacking stability parameter sets and multiple sample test lifting stability parameter sets.

[0035] Then, the obtained multiple sample accident number sets and the corresponding sample operation stacking stability parameter sets are checked and cleaned, and the training data set and the verification data set are divided. Subsequently, three operation stability analysis branches are established, namely the first operation stability analysis branch, the second operation stability analysis branch, and the third operation stability analysis branch. Among them, the first operation stability analysis branch has the number of mobile accidents as input and the operation mobile stability parameters as output; the second operation stability analysis branch has the number of stacking accidents as input and the operation stacking stability parameters as output; the third operation stability analysis branch has the number of lifting accidents as input and the operation lifting stability parameters as output. After that, the three operation stability analysis branches are coupled trained through the training data set, the loss curve is analyzed, and the model with the smallest error in the verification data set is selected as the final operation stability analysis channel. At the same time, the obtained multiple sample test information sets and the corresponding sample test stability parameter sets are checked and cleaned, and the data set training data set and the verification data set are divided. Then, three operation stability analysis branches are established, namely the first test stability analysis branch, the second test stability analysis branch, and the third test stability analysis branch. Among them, the first test stability analysis branch has mobile vibration information as input and test mobile stability parameters as output; the second test stability analysis branch has stacking vibration information as input and test stacking stability parameters as output; the third test stability analysis branch has lifting vibration information as input and sample test lifting stability parameters as output. Then, the three test stability analysis branches are coupled and trained through the training data set, the loss curve is analyzed, and the model with the smallest error in the verification data set is selected as the final test stability analysis channel.

[0036] Subsequently, the obtained multiple operation parameter sets are sequentially transmitted to the operation stability analysis channel, and the operation movement stability parameters, operation stacking stability parameters and operation lifting stability parameters of each stacker are identified and output, so as to obtain multiple operation movement stability parameters, multiple operation stacking stability parameters and multiple operation lifting stability parameters. At the same time, the obtained multiple test information sets are sequentially transmitted to the test stability analysis channel, and the test movement stability parameters, test stacking stability parameters and test lifting stability parameters corresponding to each stacker are identified and output, so as to obtain multiple test movement stability parameters, multiple test stacking stability parameters and multiple test lifting stability parameters. Then, after review by the expert group, the operation stability parameter weight and the test stability parameter weight are set, for example, to 0.6 and 0.4 respectively. For each stacker, a weighted operation operation stability parameter and a test stability parameter are performed to obtain multiple movement stability parameters, multiple stacking stability parameters and multiple lifting stability parameters.

[0037] Obtaining the predetermined stacking positions of the current plurality of stored items, formulating a plurality of stacking planning information, and obtaining the value information and vulnerability information of the plurality of stored items, wherein the stacking planning information includes the moving distance, the stacking distance, and the lifting quality;

[0038] Furthermore, this step includes:

[0039] Obtaining a plurality of predetermined stacking positions and a plurality of current positions of currently stored items;

[0040] According to the multiple current positions and the multiple predetermined stacking positions, the multiple stacking planning information is obtained by planning;

[0041] Acquiring value information of the plurality of stored items;

[0042] The category information of the plurality of stored items is obtained, and a plurality of vulnerability information is obtained by mapping in a vulnerability mapping table, wherein the vulnerability mapping table includes a mapping relationship between a plurality of sample category information and a plurality of sample vulnerabilities.

[0043] In a feasible implementation, first, for all the stored items that need to be stacked and are registered in the warehouse management system, information of multiple stored items is obtained, including: identification codes of stored items; current positions of stored items, such as the 3rd row, 5th shelf, 2nd layer; and predetermined stacking positions of stored items, such as the 7th row, 12th shelf, 4th layer. Then, for each stored item, the corresponding current position and predetermined stacking position are extracted, and the Euclidean distance between the current position and the predetermined position in the plane is calculated as the horizontal movement distance of the stacker; the absolute value of the shelf height difference between the current position and the predetermined position is calculated as the vertical movement height of the stacker; the mass of the stored items is obtained by querying the mapping table according to the category; the horizontal movement distance, vertical movement height, and mass of the stored items are summarized to obtain stacking planning information, thereby obtaining multiple stacking planning information. Subsequently, for each stored item that needs to be stacked, the preset item value information table is queried according to its specification parameters, model, etc. to obtain the corresponding value index, and the value information of multiple stored items is obtained. After that, the category information of each stored item is obtained, such as glassware, ceramics, plastic industrial products, etc., and the vulnerability index corresponding to the category is obtained by consulting the preset vulnerability mapping table to obtain multiple vulnerability information. The vulnerability mapping table is established in advance based on sample data statistics, including sample category information, such as glass cups, steel machinery parts, etc.; sample vulnerability, to assess the fragility of the sample, ranging from 1 to 10 points, with higher scores representing more fragility.

[0044] Obtaining current busyness information of the multiple target devices;

[0045] Furthermore, this step includes:

[0046] Obtaining the number of stacking tasks currently to be processed by the plurality of target devices;

[0047] According to the number of multiple stacking tasks, multiple busyness information is obtained by classification.

[0048] In a feasible implementation, first, according to the information registered in the warehouse operation management system, the number of unfinished jobs currently assigned to each stacker is counted to obtain the number of stacking tasks currently to be processed by multiple target devices. The more tasks there are, the busier the device is. Then, according to the number of pending tasks of the stacker, the corresponding busyness information is obtained by rating to evaluate the workload of the device. For example, the following rating rules are set: if the number of pending tasks is between 0-5, the busyness information is "idle"; if the number of pending tasks is between 6-10, the busyness information is "normal"; if the number of pending tasks is between 11-15, the busyness information is "busy"; if the number of pending tasks is greater than 15, the busyness information is "overloaded". Subsequently, according to the above rules, combined with the number of pending tasks of multiple stackers, the busyness information corresponding to each stacker can be obtained, and multiple busyness information can be obtained to avoid allocating additional tasks to devices with excessive loads in the subsequent allocation process, so as to achieve load balancing and efficiency optimization.

[0049] Constructing a stacking task function for stacking task management of multiple target devices, optimizing the stacking schemes of the multiple target devices for the multiple stored items according to multiple busyness information, multiple movement stability parameters, multiple stacking stability parameters, multiple lifting stability parameters and multiple stacking planning information, and obtaining an optimal stacking scheme;

[0050] Furthermore, this step includes:

[0051] Construct a stacking task function for stacking task management of multiple target devices as follows:

[0052]

[0053] Among them, sta is the stacking fitness, M is the number of multiple stored items, B i is the busyness information of the i-th target device processing the i-th storage item in the stacking scheme, L i , D i and Z i is the moving distance, stacking distance and lifting mass in the stacking planning information of the i-th storage item, W i y , W i d , W i t are the moving stability parameters, stacking stability parameters and lifting stability parameters of the i-th target equipment, Qi , S i is the value information and vulnerability information of the i-th stored item, w1, w2 and w3 are weights;

[0054] According to the stacking task function, the stacking schemes of the multiple target devices for the multiple stored items are optimized to obtain an optimal stacking scheme.

[0055] Further, such as Figure 2 As shown, this step also includes:

[0056] Randomly combining the plurality of stored objects and the plurality of target devices to obtain a first stacking scheme, which is used as an optimal stacking scheme;

[0057] Calculate and obtain a first fitness of the first stacking scheme based on the stacking task function according to the plurality of busyness information, the plurality of movement stability parameters, the plurality of stacking stability parameters, the plurality of lifting stability parameters and the plurality of stacking planning information;

[0058] The second stacking scheme is obtained by random combination, and the second fitness is obtained by calculation;

[0059] Determine whether the second fitness is greater than the first fitness. If so, update the second stacking scheme to the optimal stacking scheme. If not, generate two probability distribution intervals based on the second fitness and the first fitness, randomly generate a random number from 0 to 1, determine the probability distribution interval that falls into, and update the first stacking scheme or the second stacking scheme to the optimal stacking scheme.

[0060] Continue to optimize until the convergence times are met, and output the final optimal stacking solution.

[0061] In a preferred embodiment, first, a stacking task function for performing stacking task management on multiple target devices is constructed, as shown in the following formula:

[0062]

[0063] Among them, sta is the stacking fitness, M is the number of multiple stored items, B i is the busyness information of the i-th target device processing the i-th storage item in the stacking scheme, L i , D i and Z i is the moving distance, stacking distance and lifting mass in the stacking planning information of the i-th storage item, W i y , W i d , W i tare the moving stability parameters, stacking stability parameters and lifting stability parameters of the i-th target equipment, Q i , S i is the value information and vulnerability information of the i-th stored item, and w1, w2 and w3 are weights.

[0064] The stacking task function is used to evaluate and optimize the configuration of multiple stackers to complete multiple stacking tasks, reflecting the equipment-task matching degree and risk control ability. In the stacking task function, multiple factors such as efficiency (equipment busyness) and risk (equipment stability and item value and fragility) are considered, and the parameters of the stacker, the task and the item are integrated for objective scoring. Different types of parameters have different weights to achieve multi-objective optimization and provide support for obtaining the optimal stacking solution.

[0065] Then, the multiple storage items to be processed in the target warehouse are randomly paired with the multiple target stackers, so that each item is randomly matched to a device to obtain a first stacking scheme, and the randomly obtained first stacking scheme is used as the current optimal matching scheme. In the subsequent iterative optimization process, the fitness value of this scheme is used as a comparison benchmark. Subsequently, the multiple busyness information, multiple mobile stability parameters, multiple stacking stability parameters, multiple lifting stability parameters of the multiple target stackers, and the multiple stacking planning information of the multiple storage items are brought into the constructed stacking task function to obtain the fitness value of the first stacking scheme as the first fitness. Subsequently, the multiple storage items to be processed in the target warehouse and the multiple target stackers are randomly paired again to obtain a new set of matching schemes as the second stacking scheme, and the fitness value of the second stacking scheme is also calculated based on the stacking task function as the second fitness.

[0066] Next, compare the second fitness and the first fitness. If the second fitness is greater than the first fitness, use the second stacking scheme as the current optimal stacking scheme. If the second fitness is less than the first fitness, two probability intervals are generated, where the first fitness interval is (0, first fitness / (first fitness + second fitness)), and the second fitness interval is (second fitness / (first fitness + second fitness), 1). Subsequently, randomly generate a random number in the interval [0, 1] to determine which of the above intervals it falls into. The scheme corresponding to the interval will be used as the current optimal stacking scheme, which realizes probabilistically jumping out of the local optimum and continuing to search towards the global optimum. Then, set the iteration number threshold, repeatedly perform random search and fitness evaluation according to the above process, and determine whether the iteration number reaches the iteration number threshold. If it does not reach it, continue a new round of iterative search. If it reaches it, stop searching and output the final optimal stacking scheme.

[0067] The optimal stacking scheme is adopted to perform operation management on the multiple target devices.

[0068] In an embodiment of the present application, after the optimal stacking scheme is obtained, multiple stackers in the warehouse are uniformly scheduled and operated based on the optimal stacking scheme. The optimal stacking scheme includes the selection of the most matching stacker for each stored item. After the pairing information is input into the warehouse operation management system, the system can issue instructions in sequence to control the stacker to automatically reach the corresponding starting pickup point and transport the items to the target stacking coordinate position using the optimal path. At the same time, the task progress and equipment status are monitored in real time to complete the production operation at the fastest speed, while ensuring efficiency and reducing the risk of accidents. When new stored items are added or the current cluster conditions change, the aforementioned search process can be repeated to quickly obtain a new optimal stacking scheme, realize dynamic scheduling, and improve the efficiency and safety of warehouse equipment operation management.

[0069] In summary, the dynamically adjusted warehouse equipment operation management method provided by the embodiment of the present application has the following technical effects:

[0070] Collect the operating parameters of multiple target devices in the target warehouse within the preset historical time range, as well as the test parameters for the operation test of multiple target devices, to obtain the basic data required for the equipment operation status and stability evaluation. According to the multiple operation parameters and multiple test parameters, analyze the moving stability, stacking stability and lifting stability of multiple target devices, obtain multiple moving stability parameters, multiple stacking stability parameters and multiple lifting stability parameters, and evaluate the stability of the equipment operation. Obtain the scheduled stacking positions of multiple stored items at present, formulate multiple stacking planning information, and obtain the value information and vulnerability information of multiple stored items, wherein the stacking planning information includes the moving distance, stacking distance and lifting quality, and associates the storage demand situation with the actual status of the equipment. Obtain the current busyness information of multiple target devices to grasp the equipment operation occupancy. Construct a stacking task function for stacking task management of multiple target devices, and optimize the stacking scheme of multiple target devices for multiple stored items according to multiple busyness information, multiple moving stability parameters, multiple stacking stability parameters, multiple lifting stability parameters and multiple stacking planning information, obtain the optimal stacking scheme, and formulate a dynamic and refined management scheme. Adopt the optimal stacking solution to manage the operation of multiple target equipment and achieve efficient and safe warehouse equipment operation management.

[0071] Embodiment 2

[0072] Based on the same inventive concept as the method for dynamically adjusting warehouse equipment operation management in the aforementioned embodiment, Figure 3 As shown, the embodiment of the present application provides a dynamically adjusted warehouse equipment operation management system, the system comprising:

[0073] The equipment parameter collection module 11 is used to collect the operating parameters of multiple target equipment in the target warehouse within a preset historical time range, and the test parameters of the operation test of the multiple target equipment, wherein the target equipment is a stacker;

[0074] A stability analysis module 12, configured to analyze the movement stability, stacking stability and lifting stability of the plurality of target devices according to the plurality of operation parameters and the plurality of test parameters, and obtain a plurality of movement stability parameters, a plurality of stacking stability parameters and a plurality of lifting stability parameters;

[0075] The planning information formulation module 13 is used to obtain the predetermined stacking positions of the current plurality of stored items, formulate a plurality of stacking planning information, and obtain the value information and vulnerability information of the plurality of stored items, wherein the stacking planning information includes the moving distance, the stacking distance and the lifting quality;

[0076] A busyness information acquisition module 14 is used to acquire current busyness information of the plurality of target devices;

[0077] The optimal solution acquisition module 15 is used to construct a stacking task function for stacking task management of multiple target devices, and optimize the stacking solutions of the multiple target devices for the multiple stored items according to multiple busyness information, multiple movement stability parameters, multiple stacking stability parameters, multiple lifting stability parameters and multiple stacking planning information to obtain the optimal stacking solution;

[0078] The equipment operation management module 16 is used to adopt the optimal stacking solution to perform operation management on the multiple target equipment.

[0079] Furthermore, the device parameter acquisition module 11 includes the following execution steps:

[0080] Collecting the number of preset accidents that occur during the moving, stacking, and lifting processes of the multiple target devices within a preset historical time range, and obtaining multiple accident number sets as multiple operating parameter sets, each accident number set including the number of moving accidents, the number of stacking accidents, and the number of lifting accidents;

[0081] Using preset test conditions, the multiple target devices are tested during movement, stacking and lifting, the vibration amplitude information of the devices during the test is obtained, and multiple test information sets are obtained, each test information set including movement vibration information, stacking vibration information and lifting vibration information.

[0082] Furthermore, the stability analysis module 12 includes the following execution steps:

[0083] Acquire multiple sample accident number sets, and calculate and evaluate multiple sample movement stability parameter sets, multiple sample stacking stability parameter sets, and multiple sample lifting stability parameter sets;

[0084] Acquire multiple sample test information sets, and calculate and evaluate multiple sample test moving stability parameter sets, multiple sample test stacking stability parameter sets, and multiple sample test lifting stability parameter sets;

[0085] Using the multiple sample accident number sets as input, using the multiple sample movement stability parameter sets, the multiple sample stacking stability parameter sets and the multiple sample lifting stability parameter sets as output, constructing an operation stability analysis channel, wherein the operation stability analysis channel includes three operation stability analysis branches;

[0086] Using the multiple sample test information sets as input, using the multiple sample test moving stability parameter sets, the multiple sample test stacking stability parameter sets and the multiple sample test lifting stability parameter sets as output, constructing a test stability analysis channel, wherein the test stability analysis channel includes three test stability analysis branches;

[0087] Based on the operation stability analysis channel and the test stability analysis channel, the multiple operation parameter sets and the multiple test information sets are identified to obtain the multiple operation movement stability parameters, the multiple operation stacking stability parameters and the multiple operation lifting stability parameters, as well as the multiple test movement stability parameters, the multiple test stacking stability parameters and the multiple test lifting stability parameters;

[0088] Weighted calculations are performed on multiple operating movement stability parameters, multiple operating stacking stability parameters, multiple operating lifting stability parameters, multiple test moving stability parameters, multiple test stacking stability parameters and multiple test lifting stability parameters respectively to obtain the multiple movement stability parameters, multiple stacking stability parameters and multiple lifting stability parameters.

[0089] Furthermore, the planning information formulation module 13 includes the following execution steps:

[0090] Obtaining a plurality of predetermined stacking positions and a plurality of current positions of currently stored items;

[0091] According to the multiple current positions and the multiple predetermined stacking positions, the multiple stacking planning information is obtained by planning;

[0092] Acquiring value information of the plurality of stored items;

[0093] The category information of the plurality of stored items is obtained, and a plurality of vulnerability information is obtained by mapping in a vulnerability mapping table, wherein the vulnerability mapping table includes a mapping relationship between a plurality of sample category information and a plurality of sample vulnerabilities.

[0094] Furthermore, the busyness information acquisition module 14 includes the following execution steps:

[0095] Obtaining the number of stacking tasks currently to be processed by the plurality of target devices;

[0096] According to the number of multiple stacking tasks, multiple busyness information is obtained by classification.

[0097] Furthermore, the optimal solution acquisition module 15 includes the following execution steps:

[0098] Construct a stacking task function for stacking task management of multiple target devices as follows:

[0099]

[0100] Among them, sta is the stacking fitness, M is the number of multiple stored items, B i is the busyness information of the i-th target device processing the i-th storage item in the stacking scheme, L i , D i and Z i is the moving distance, stacking distance and lifting mass in the stacking planning information of the i-th storage item, W i y , W i d , W i t are the moving stability parameters, stacking stability parameters and lifting stability parameters of the i-th target equipment, Q i , S i is the value information and vulnerability information of the i-th stored item, w1, w2 and w3 are weights;

[0101] According to the stacking task function, the stacking schemes of the multiple target devices for the multiple stored items are optimized to obtain an optimal stacking scheme.

[0102] Furthermore, the optimal solution acquisition module 15 also includes the following execution steps:

[0103] Randomly combining the plurality of stored objects and the plurality of target devices to obtain a first stacking scheme, which is used as an optimal stacking scheme;

[0104] Calculate and obtain a first fitness of the first stacking scheme based on the stacking task function according to the plurality of busyness information, the plurality of movement stability parameters, the plurality of stacking stability parameters, the plurality of lifting stability parameters and the plurality of stacking planning information;

[0105] The second stacking scheme is obtained by random combination, and the second fitness is obtained by calculation;

[0106] Determine whether the second fitness is greater than the first fitness. If so, update the second stacking scheme to the optimal stacking scheme. If not, generate two probability distribution intervals based on the second fitness and the first fitness, randomly generate a random number from 0 to 1, determine the probability distribution interval that falls into, and update the first stacking scheme or the second stacking scheme to the optimal stacking scheme.

[0107] Continue to optimize until the convergence times are met, and output the final optimal stacking solution.

[0108] Any step of the method described above can be stored as a computer instruction or program in an unlimited computer memory, and can be called and recognized by an unlimited computer processor to implement any method in the embodiments of the present application, without any unnecessary restrictions.

[0109] Furthermore, the first or second mentioned above may not only represent an order relationship, but may also represent a specific concept, and / or refer to multiple elements that can be selected individually or in full. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A dynamically adjusted warehouse equipment operation management method, characterized in that: The method comprises: Collecting operating parameters of multiple target devices in a target warehouse within a preset historical time range, and test parameters of operating tests on multiple target devices, wherein the target device is a stacker; Analyzing the movement stability, stacking stability and lifting stability of the plurality of target devices according to the plurality of operating parameters and the plurality of test parameters to obtain a plurality of movement stability parameters, a plurality of stacking stability parameters and a plurality of lifting stability parameters; Obtaining the predetermined stacking positions of the current plurality of stored items, formulating a plurality of stacking planning information, and obtaining the value information and vulnerability information of the plurality of stored items, wherein the stacking planning information includes the moving distance, the stacking distance, and the lifting quality; Obtaining current busyness information of the multiple target devices; Constructing a stacking task function for stacking task management of multiple target devices, optimizing the stacking schemes of the multiple target devices for the multiple stored items according to multiple busyness information, multiple movement stability parameters, multiple stacking stability parameters, multiple lifting stability parameters and multiple stacking planning information, and obtaining an optimal stacking scheme; Adopting the optimal stacking scheme to perform operation management on the multiple target devices; Among them, a stacking task function for stacking task management of multiple target devices is constructed, and the stacking scheme of the multiple target devices for the multiple stored items is optimized according to multiple busyness information, multiple movement stability parameters, multiple stacking stability parameters, multiple lifting stability parameters and multiple stacking planning information, including: Construct a stacking task function for stacking task management of multiple target devices as follows: Among them, sta is the stacking fitness, M is the number of multiple stored items, B i is the busyness information of the i-th target device processing the i-th storage item in the stacking scheme, L i , D i and Z i is the moving distance, stacking distance and lifting mass in the stacking planning information of the i-th storage item, are the moving stability parameters, stacking stability parameters and lifting stability parameters of the i-th target equipment, Q i , S i is the value information and vulnerability information of the i-th stored item, w1, w2 and w3 are weights; According to the stacking task function, optimizing the stacking schemes of the multiple target devices for the multiple stored items to obtain an optimal stacking scheme; According to the stacking task function, optimizing the stacking schemes of the plurality of target devices for the plurality of stored items to obtain the optimal stacking scheme includes: Randomly combining the plurality of stored objects and the plurality of target devices to obtain a first stacking scheme, which is used as an optimal stacking scheme; Calculate and obtain a first fitness of the first stacking scheme based on the stacking task function according to the plurality of busyness information, the plurality of movement stability parameters, the plurality of stacking stability parameters, the plurality of lifting stability parameters and the plurality of stacking planning information; The second stacking scheme is obtained by random combination, and the second fitness is obtained by calculation; Determine whether the second fitness is greater than the first fitness. If so, update the second stacking scheme to the optimal stacking scheme. If not, generate two probability distribution intervals based on the second fitness and the first fitness, randomly generate a random number from 0 to 1, determine the probability distribution interval that falls into, and update the first stacking scheme or the second stacking scheme to the optimal stacking scheme. Continue to optimize until the convergence times are met, and output the final optimal stacking solution.

2. The method according to claim 1, characterized in that Collect the operating parameters of multiple target devices in the target warehouse within a preset historical time range, and test the operating parameters of multiple target devices, including: Collecting the number of preset accidents that occur during the moving, stacking, and lifting processes of the multiple target devices within a preset historical time range, and obtaining multiple accident number sets as multiple operating parameter sets, each accident number set including the number of moving accidents, the number of stacking accidents, and the number of lifting accidents; Using preset test conditions, the multiple target devices are tested during movement, stacking and lifting, the vibration amplitude information of the devices during the test is obtained, and multiple test information sets are obtained, each test information set including movement vibration information, stacking vibration information and lifting vibration information.

3. The method according to claim 2, characterized in that Analyzing the moving stability, stacking stability and lifting stability of the plurality of target devices according to the plurality of operating parameters and the plurality of test parameters, including: Acquire multiple sample accident number sets, and calculate and evaluate multiple sample movement stability parameter sets, multiple sample stacking stability parameter sets, and multiple sample lifting stability parameter sets; Acquire multiple sample test information sets, and calculate and evaluate multiple sample test moving stability parameter sets, multiple sample test stacking stability parameter sets, and multiple sample test lifting stability parameter sets; Using the multiple sample accident number sets as input, using the multiple sample movement stability parameter sets, the multiple sample stacking stability parameter sets and the multiple sample lifting stability parameter sets as output, constructing an operation stability analysis channel, wherein the operation stability analysis channel includes three operation stability analysis branches; Using the multiple sample test information sets as input, using the multiple sample test moving stability parameter sets, the multiple sample test stacking stability parameter sets and the multiple sample test lifting stability parameter sets as output, constructing a test stability analysis channel, wherein the test stability analysis channel includes three test stability analysis branches; Based on the operation stability analysis channel and the test stability analysis channel, the multiple operation parameter sets and the multiple test information sets are identified to obtain multiple operation movement stability parameters, multiple operation stacking stability parameters and multiple operation lifting stability parameters, as well as multiple test movement stability parameters, multiple test stacking stability parameters and multiple test lifting stability parameters; Weighted calculations are performed on multiple operating movement stability parameters, multiple operating stacking stability parameters, multiple operating lifting stability parameters, multiple test moving stability parameters, multiple test stacking stability parameters and multiple test lifting stability parameters respectively to obtain the multiple movement stability parameters, multiple stacking stability parameters and multiple lifting stability parameters.

4. The method according to claim 1, characterized in that: Obtain the scheduled stacking positions of multiple stored items, formulate multiple stacking planning information, and obtain the value information and vulnerability information of multiple stored items, including: Obtaining a plurality of predetermined stacking positions and a plurality of current positions of currently stored items; According to the multiple current positions and the multiple predetermined stacking positions, the multiple stacking planning information is obtained by planning; Acquiring value information of the plurality of stored items; The category information of the plurality of stored items is obtained, and a plurality of vulnerability information is obtained by mapping in a vulnerability mapping table, wherein the vulnerability mapping table includes a mapping relationship between a plurality of sample category information and a plurality of sample vulnerabilities.

5. The method according to claim 1, characterized in that: Obtaining the current busyness information of the multiple target devices includes: Obtaining the number of stacking tasks currently to be processed by the plurality of target devices; According to the number of multiple stacking tasks, multiple busyness information is obtained by classification.

6. A dynamically adjusted warehouse equipment operation management system, characterized in that: A method for dynamically adjusting warehouse equipment operation management according to any one of claims 1 to 5, the system comprising: An equipment parameter collection module, the equipment parameter collection module is used to collect operating parameters of multiple target equipment in a target warehouse within a preset historical time range, and test parameters for operating tests on multiple target equipment, wherein the target equipment is a stacker; A stability analysis module, the stability analysis module is used to analyze the movement stability, stacking stability and lifting stability of the multiple target devices according to the multiple operating parameters and the multiple test parameters, and obtain multiple movement stability parameters, multiple stacking stability parameters and multiple lifting stability parameters; A planning information formulation module, the planning information formulation module is used to obtain a predetermined stacking position of a plurality of stored items, formulate a plurality of stacking planning information, and obtain value information and vulnerability information of a plurality of stored items, wherein the stacking planning information includes a moving distance, a stacking distance, and a lifting mass; A busyness information acquisition module, the busyness information acquisition module is used to acquire current busyness information of the multiple target devices; An optimal solution acquisition module, the optimal solution acquisition module is used to construct a stacking task function for stacking task management of multiple target devices, and optimize the stacking scheme of the multiple target devices for the multiple stored items according to multiple busyness information, multiple movement stability parameters, multiple stacking stability parameters, multiple lifting stability parameters and multiple stacking planning information to obtain an optimal stacking scheme; The equipment operation management module is used to adopt the optimal stacking solution to perform operation management on the multiple target devices.

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