An Adaptive Work Order Configuration Method and System Based on Intelligent Warehousing

Abstract

The present invention belongs to the technical field of warehousing logistics management, and specifically provides an adaptive work order configuration method and system based on intelligent warehousing. The method includes: an adaptive work order configuration method based on intelligent warehousing, and the method includes the following steps: configuring a work order task UUID; configuring corresponding device UUIDs in each operation step of the work order task UUID; reading the work order task UUID, dispatching the work order task according to the starting point and the ending point. After successful dispatching, execute step by step according to the operation steps configured in the work order task. The device corresponding to each step executes corresponding actions according to the device UUID, and stores the execution status in the database. Compared with the adaptability, the present invention greatly improves according to the functional customization requirements of different factory area warehouses, and can directly customize the logistics information logic in different factory area warehouses by means of configuration. It truly achieves the integrated industrial comprehensive production monitoring and management integrating the information of the production process and the logistics management process.

Description

Technical Field

[0001] The present invention relates to the technical field of warehousing logistics management, and more specifically, to an adaptive work order configuration method and system based on intelligent warehousing. Background Art

[0002] With the continuous development of modern logistics industry and supply chain management concepts, the importance of warehousing management in logistics management has been increasing day by day, and warehousing management has become the core part and key link of logistics management. At present in our country, warehousing management is basically in the state of manual management or semi-automated management, with many problems such as difficult product identification, difficult access to product information, low degree of warehousing management automation, and strong dependence on manual labor.

[0003] The intelligent warehousing logistics management system is an important part of the rapid development of intelligent manufacturing industry 4.0. It has many advantages such as saving land, reducing labor intensity, avoiding damage or loss of goods, eliminating errors, providing the level of warehousing automation and management level, improving the quality of management and operation personnel, reducing storage and transportation losses, effectively reducing the backlog of working capital, and providing logistics efficiency.

[0004] The existing patent CN115072232A discloses a management method for an intelligent warehousing logistics management system. The method includes the following steps: S1, fixing the connection base on the rail transport vehicle by screwing screws into two threaded holes on the connection base; S2, stacking goods on the transport plate, and then operating the clamping plate to slide downwards so that the clamping plate and the transport plate cooperate to complete the clamping of the goods; S3, operating the rail transport vehicle to move forward along the preset transport track, which is a device for facilitating the timely discovery of obstacles that cannot be pushed on the logistics transport route. This technical solution effectively solves the problem of the inability to timely discover blockages on the logistics transport route, but it cannot solve the problem of low adaptability compared to the functional customization requirements of warehouses in different factory areas, and the work order execution module cannot be compatible with the data acquisition and human-machine interface module, which is not convenient for integrated production management. Summary of the Invention

[0005] The present invention aims at the technical problem of low adaptability of the functional customization requirements of warehouses in different factory areas compared to the prior art.

[0006] The present invention provides an adaptive work order configuration method based on intelligent warehousing, including the following steps:

[0007] S1, configuring the work order task UUID in the form of adding and deleting steps, and each work order task consists of multiple different or identical operation steps;

[0008] S2, configuring the corresponding device UUID in each operation step of the work order task UUID;

[0009] S3. Read the work order task UUID, dispatch the work order task based on the starting point and ending point. After successful dispatch, execute step by step according to the operation steps configured in the work order task. For each step, the corresponding device executes the corresponding actions according to the device UUID, and the execution status is stored in the database.

[0010] Preferably, both the work order task UUID and the device UUID consist of 32 hexadecimal digits, and each UUID is unique in the same spacetime.

[0011] Preferably, the specific steps of S3 include:

[0012] When executing a work order task, the execution status of the work order task changes to "executing", the execution time changes to the current time, and the execution situation of the work order task is stored in the database.

[0013] When executing the specific operation steps in a work order task, the execution status of the operation step changes to "executing", the execution time changes to the current time, and the execution situation of the operation step is stored in the database.

[0014] When stopping a work order task, the current execution status is also stored in the database. The work order and the execution status of the work order task change to "stopped execution". The execution status of the operation steps is "completed" for the already executed operation steps and "not executed" for the unexecuted operation steps, and they are stored in the database for easy query and management.

[0015] Preferably, the specific steps of S3 include:

[0016] During the execution of a work order task, the execution situation, start time, identification code of the initiating end, execution time, execution status, execution device, priority, and completed operation steps of each work order task are saved in the database.

[0017] During the execution of operation steps, the material ID, location ID, execution time, execution status, device trajectory, route, action, and execution situation involved in each operation step of the work order task are saved in the database.

[0018] Preferably, the specific steps of S3 include: If there is a problem in executing a certain operation step, this operation step is automatically re-executed until it can be successfully executed or the execution status of the work order task is cancelled.

[0019] Preferably, S3 further includes: Binding the PLC point value through the device point. When the PLC point value exceeds the preset value, the corresponding device is given an alarm prompt, and the severity of the alarm prompt is proportional to the exceeded value.

[0020] Preferably, the specific steps of S3 include:

[0021] The overhead crane realizes operations such as moving, clamping materials, releasing materials, rotating the fixture, and delaying waiting according to the device UUID.

[0022] The present invention also provides an adaptive work order configuration system based on intelligent warehousing. The system is used to implement an adaptive work order configuration method based on intelligent warehousing, including:

[0023] A task configuration module, which is used to configure the work order task UUID in the form of adding and deleting steps. Each work order task consists of multiple different or identical operation steps;

[0024] An operation step configuration module, which is used to configure the corresponding device UUID in each operation step of the work order task UUID;

[0025] An execution module, which is used to read the work order task UUID, dispatch the work order task according to the starting point and the ending point. After successful dispatch, it executes step by step according to the operation steps configured in the work order task. The device corresponding to each step executes the corresponding action according to the device UUID, and stores the execution status in the database.

[0026] The present invention also provides an electronic device, including a memory and a processor. When the processor executes a computer management program stored in the memory, it realizes the steps of the adaptive work order configuration method based on intelligent warehousing.

[0027] The present invention also provides a computer-readable storage medium, on which a computer management program is stored. When the computer management program is executed by a processor, it realizes the steps of the adaptive work order configuration method based on intelligent warehousing.

[0028] Beneficial effects: An adaptive work order configuration method and system based on intelligent warehousing provided by the present invention, wherein the method includes: An adaptive work order configuration method based on intelligent warehousing, the method includes the following steps: Configure the work order task UUID in the form of adding and deleting steps, and each work order task consists of multiple different or identical operation steps; Configure the corresponding device UUID in each operation step of the work order task UUID; Read the work order task UUID, dispatch the work order tasks according to the starting point and the ending point. After successful dispatch, execute step by step according to the operation steps configured in the work order task. The device corresponding to each step executes the corresponding action according to the device UUID, and stores the execution status in the database. The present invention proposes a new work order task execution scheme for the work order execution module of the intelligent logistics warehousing management system. Compared with the original customization requirements according to the functions of different factory area warehouses, the adaptability is greatly improved, and the logistics information logic in different factory area warehouses can be customized directly through configuration. At the same time, in terms of information storage, it can ensure that there is no omission or under-storage, and all process details, step details, status information, etc. of all executions can be queried and reviewed in a timely manner. In terms of data interaction, the SCADA data acquisition platform and the HMI human-machine interface are embedded, truly integrating the information of the production process and the logistics management process into an industrial comprehensive production monitoring and management system. Brief Description of the Drawings

[0029] Figure 1 It is a flowchart of an adaptive work order configuration method based on intelligent warehousing provided by the present invention;

[0030] Figure 2 It is a schematic hardware structure diagram of a possible electronic device provided by the present invention;

[0031] Figure 3 It is a schematic hardware structure diagram of a possible computer-readable storage medium provided by the present invention. Detailed Description of the Invention

[0032] The following combines the drawings and embodiments to further describe in detail the specific implementation manners of the present invention. The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0033] The name explanations of the present invention are as follows:

[0034] UUID: Universally Unique Identifier

[0035] UACS: Unmanned Automatic Crane System

[0036] HMI: Human Machine Interface

[0037] SCADA: Supervisory Control And Data Acquisition

[0038] Collection node: Collect the real-time data of data points of industrial control devices such as PLC and RTU through the industrial control bus, and save it to the real-time database

[0039] Figure 1 An adaptive work order configuration method based on intelligent warehousing provided by the present invention includes the following steps

[0040] S1. Configure the work order task UUID in the form of adding and deleting steps. Each work order task consists of multiple different or identical operation steps

[0041] S2. Configure the corresponding device UUID in each operation step of the work order task UUID

[0042] S3. Read the work order task UUID, dispatch the work order task according to the start point and end point. After successful dispatch, execute step by step according to the operation steps configured in the work order task. The device corresponding to each step executes the corresponding action according to the device UUID, and store the execution status in the database

[0043] The main functions of this solution are to improve the automation level of warehousing management, reduce manual dependence, enhance the support for other links in the supply chain, reduce inventory expenditures, further reduce logistics costs, and improve warehousing efficiency. At the same time, the automatic operation process in the warehouse can be customized and configured, and relevant data can be automatically collected and recorded, which has good effects in improving the accuracy and speed of operations, increasing warehouse management efficiency, transparency, authenticity, reducing warehousing management costs, and improving enterprise productivity and logistics efficiency. If the HMI human-computer interaction system and SCADA data acquisition system supporting this system are used in other production links, it will have better integration and support scalability, and can also be docked and interacted with other systems such as the manufacturing enterprise production process execution management software (MES) and enterprise resource planning system. Customized work order task distribution and management can also be carried out on the mobile terminal, which is convenient for staff to query the execution status and distribute tasks in real time

[0044] In a specific implementation scenario

[0045] When the device points and the configuration of the library, cross, partition, and position have been configured, enter the work order configuration interface to configure the work order task

[0046] First, configure the work order tasks, create a new work order task group, and create a new work order task; configure the cross-plant location and warehouse information of the basic library.

[0047] Then, you can customize the work order tasks in the form of adding and deleting operation steps.

[0048] Each work order task can consist of multiple different or identical operation steps. Each operation step can be configured with 6 parameters, and these parameters have different meanings and effects according to different operation step types. Similarly, when executing a work order, each work order can consist of multiple different or identical work order tasks, and these work order tasks will be assigned and executed according to the priority. During the execution process, the execution status, start time, status, and identification code of the initiating end of each work order will be saved into the database. The execution time, execution status, execution device, priority, and the number of completed operation steps of each work order task will be saved into the database. The material ID, location ID, execution time, execution status, and 6 actual parameter values during the execution of each operation step of the work order task will be saved into the database. These information cover all the trajectories, routes, actions, execution status, etc. of the overhead crane when executing the work order task, and can reflect the working status during the execution in detail, facilitating later operation and maintenance and problem review, etc.

[0049] Among them, UUID refers to a number generated on a machine, which ensures uniqueness for all machines in the same time and space. The UUID format is:

[0050] xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

[0051] There are 32 x's in total, where each x is a hexadecimal digit in the range of 0 - 9 or a - f. Different operating system platforms will provide UUID generation. The generated UUID becomes the UUID format "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" of this system. In the configuration interface, each work order, work order task type, and work order task operation step has a unique UUID. In the storage module, each work order record, work order task record, and work order task operation step execution record has a unique UUID for easy query. In the device connection module, each device also has a UUID for easy identification and differentiation from each other. In the alarm module, each generated alarm prompt also has its corresponding UUID for easy query.

[0052] The device manager obtains the UUIDs and other relevant information of all devices from the database and uses this information for connection during device connection. Different devices may adopt different connection methods. Since this system uses the SCADA data acquisition platform, it can be compatible with various different drivers and communication methods in device connection.

[0053] In the work order task configuration interface, work order tasks can be managed by adding work order task groups and adding work order tasks within the work order task groups. When adding, each work order task will generate a unique UUID for easy query and management. Any number of different or identical work order task operation steps can be added to each work order task UUID, and work order task descriptions and instructions can also be added.

[0054] In the operation step configuration interface of the work order task, a unique UUID will be generated for easy query and management when adding each operation step. Since each UUID has 32 parameters, only 6 parameters can be configured for each operation step. At this time, the remaining parameters in the device UUID can be left empty or uniformly set to zero and not used or used for other purposes, such as prompting operation information, etc. For movement commands, the first 3 parameters represent the xyz coordinates respectively, and the last 3 parameters represent the offsets in the xyz directions respectively. When specifying the xyz coordinates, either fixed values can be input or the specified position can be selected by double-clicking through the storage location. When it is empty, it means no movement in the current direction. The meaning of the offset in the corresponding direction depends on the value in the corresponding direction. For example, if the target position in the x direction is 10 and the offset is -2, then finally the overhead crane will move to the position with the value of 8 in the x direction. If there is no target position set in the x direction, then finally the overhead crane will move to the position of the current position -2 in the x direction. If the coordinates are specified by selecting the stack position method, then the specific coordinate values of the stack position will be retrieved during execution to complete the execution of the operation step.

[0055] When executing a work order, the system will retrieve the work order tasks corresponding to the work order and execute them according to the priorities of the work order tasks. During specific execution, the work order tasks will be dispatched according to the starting and ending points of the work order tasks. After successful dispatch, the parameters configured in the work order tasks will be read and executed step by step according to the operation steps configured in the work order tasks. During this period, if a problem occurs during the execution of a certain operation step, such as a mechanical failure, etc., this operation step will be automatically re-executed until it can be successfully executed or the execution status of the work order task is cancelled.

[0056] When executing a work order task, the execution status of the work order task changes to being executed, the execution time changes to the current time, and the execution situation of the work order task will be stored in the database.

[0057] When executing the specific operation steps in a work order task, the execution status of the operation step changes to being executed, the execution time changes to the current time, and the execution situation of the operation step will be stored in the database.

[0058] When stopping a work order task, the current execution status will also be stored in the database. The work order and the execution status of the work order task will change to stopped execution. The execution status of the operation steps will be completed according to the currently executed operation steps, and the unexecuted operation steps will be in the unexecuted status. This will be stored in the database for easy query and management.

[0059] When using the operation step of prompt information, there is only 1 parameter, and parameter 1 is the content value to be reminded. When reaching this step, a prompt message will appear below the platform software interface, and a prompt message will also pop up on the mobile APP page to prompt the user.

[0060] Bind the PLC point value through the device point. The PLC point value is configured with certain rules. When these rules are triggered, it will be executed according to the severity level selected for the alarm. For extremely serious cases, a pop-up window will be prompted. Generally, information prompts for the alarm will be carried out below the software and on the APP interface. For example, the PLC point value is from 1 to 9, and the larger the number, the more serious it is. Under normal circumstances, it will not exceed 1. When it exceeds 1, the alarm will start, and the specific alarm level will be prompted according to the PLC point value.

[0061] The present invention also provides an adaptive work order configuration system based on intelligent warehousing. The system is used to implement the adaptive work order configuration method based on intelligent warehousing as described above, including:

[0062] A task configuration module, used to configure the work order task UUID in the form of adding and deleting steps. Each work order task consists of multiple different or identical operation steps;

[0063] An operation step configuration module, used to configure the corresponding device UUID in each operation step of the work order task UUID;

[0064] An execution module, used to read the work order task UUID, dispatch the work order task according to the starting point and the ending point. After successful dispatch, it will be executed step by step according to the operation steps configured for the work order task. The corresponding device for each step will execute the corresponding action according to the device UUID, and the execution status will be stored in the database.

[0065] Please refer to Figure 2 This is a schematic diagram of the embodiment of the electronic device provided by the embodiment of the present invention. As Figure 2 shown, the embodiment of the present invention provides an electronic device, including a memory 1310, a processor 1320, and a computer program 1311 stored on the memory 1310 and executable on the processor 1320. When the processor 1320 executes the computer program 1311, the following steps are implemented: S1, configure the work order task UUID in the form of adding and deleting steps. Each work order task consists of multiple different or identical operation steps;

[0066] S2. Configure the corresponding device UUID in each operation step of the work order task UUID;

[0067] S3. Read the work order task UUID, dispatch the work order task according to the starting point and the ending point. After successful dispatch, execute step by step according to the operation steps configured in the work order task. The device corresponding to each step executes the corresponding action according to the device UUID, and stores the execution status in the database.

[0068] Please refer to Figure 3 FIG. is a schematic diagram of an embodiment of a computer-readable storage medium provided by the present invention. As Figure 3 shown, this embodiment provides a computer-readable storage medium 1400, on which a computer program 1411 is stored. When the computer program 1411 is executed by a processor, the following steps are implemented: S1. Configure the work order task UUID in the form of adding and deleting steps. Each work order task consists of multiple different or identical operation steps;

[0069] S2. Configure the corresponding device UUID in each operation step of the work order task UUID;

[0070] S3. Read the work order task UUID, dispatch the work order task according to the starting point and the ending point. After successful dispatch, execute step by step according to the operation steps configured in the work order task. The device corresponding to each step executes the corresponding action according to the device UUID, and stores the execution status in the database.

[0071] Advantageous effects:

[0072] The present invention proposes a new work order task execution scheme for the work order execution module of the intelligent logistics warehousing management system. Compared with the original customization requirements according to the functions of different factory area warehouses, the adaptability is greatly improved, and the logistics information logic in different factory area warehouses can be customized directly through configuration. At the same time, in terms of information storage, it ensures that there is no omission or under-storage, and all process details, operation step details, status information, etc. of all executions can be queried and reviewed in a timely manner. In terms of data interaction, the SCADA data acquisition platform and the HMI human-machine interface are embedded, truly realizing an industrial integrated production monitoring and management system platform that integrates production process and logistics management process information.

[0073] It has the following three characteristics:

[0074] (1) The crane work order task execution mode based on custom work order tasks.

[0075] (2) The crane work order task execution status saving mechanism based on comprehensiveness and meticulousness.

[0076] (3) The platform software system mechanism covering the entire industrial production transportation process.

[0077] It should be noted that in the above embodiments, the descriptions of the respective embodiments have their own emphases. For parts not described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0078] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they know the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0079] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. An adaptive work order configuration method based on intelligent warehousing, characterized in that It includes the following steps: S1. Configure the work order task UUID in the form of adding and deleting steps. Each work order task consists of multiple different or identical operation steps; S2. Configure the corresponding device UUID in each operation step of the work order task UUID; S3. Read the work order task UUID, dispatch the work order task according to the starting point and the ending point. After successful dispatch, execute step by step according to the operation steps configured in the work order task. The corresponding device for each step executes the corresponding action according to the device UUID, and store the execution status in the database; The specific content of S3 includes: When executing the work order task, the execution status of the work order task becomes "executing", the execution time becomes the current time, and the execution situation of the work order task will be stored in the database; When executing a specific operation step in the work order task, the execution status of the operation step becomes "executing", the execution time becomes the current time, and the execution situation of the operation step will be stored in the database; When stopping the work order task, the current execution status will also be stored in the database. The execution status of the work order and the work order task becomes "stopped execution". The execution status of the operation step is "completed" according to the operation steps that have been executed, and the unexecuted operation steps are in the "unexecuted" status, which will be stored in the database for easy query and management; During the execution of the work order task, the execution situation, start time, identification code of the initiating end, execution time, execution status, execution device, priority, and completed operation steps of each work order task are saved in the database; During the execution of the operation step, the material ID, location ID, execution time, execution status, device trajectory, route, action, and execution situation involved in each operation step of the work order task are saved in the database; The overhead crane realizes operations such as moving, clamping materials, releasing materials, fixture rotation, and delay waiting according to the device UUID.

2. The adaptive work order configuration method based on intelligent warehousing according to claim 1, wherein Both the work order task UUID and the device UUID consist of 32 hexadecimal digits, and each UUID is unique in the same spacetime.

3. The adaptive work order configuration method based on intelligent warehousing according to claim 1, characterized in that The specific content of S3 includes: If there is a problem in executing a certain operation step, automatically re-execute this operation step until it can be successfully executed or the execution status of the work order task is cancelled.

4. The adaptive work order configuration method based on intelligent warehousing according to claim 1, wherein, S3 also includes: Bind the PLC point value through the device point. When the PLC point value exceeds the preset value, the corresponding device will be given an alarm prompt, and the severity of the alarm prompt is proportional to the exceeded value.

5. An adaptive work order configuration system based on intelligent warehousing, characterized in that, The system is used to implement the adaptive work order configuration method based on intelligent warehousing as described in any one of claims 1-4, including: A task configuration module, which is used to configure the work order task UUID in the form of adding and deleting steps. Each work order task consists of multiple different or identical operation steps; An operation step configuration module, which is used to configure the corresponding device UUID in each operation step of the work order task UUID; An execution module, which is used to read the work order task UUID, dispatch the work order task according to the starting point and the ending point. After successful dispatch, execute step by step according to the operation steps configured in the work order task. The corresponding device for each step executes the corresponding action according to the device UUID, and store the execution status in the database.

6. An electronic device, characterized in that, It includes a memory and a processor. When the processor executes the computer management program stored in the memory, it implements the steps of the adaptive work order configuration method based on intelligent warehousing according to any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, A computer management program is stored thereon. When the computer management program is executed by the processor, it implements the steps of the adaptive work order configuration method based on intelligent warehousing according to any one of claims 1-4.

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