Operation control method and system for three-dimensional warehouse scheduling

Abstract

The invention discloses an operation control method and system for three-dimensional warehouse scheduling, and relates to the technical field of warehousing and logistics automation, and the method comprises the steps: receiving a warehouse-in or warehouse-out task instruction of a measurement production scheduling platform, and carrying out the analysis to generate an operation instruction set; collecting equipment identification information and comparing the equipment identification information with the task instruction; generating a goods allocation allocation or path optimization scheme according to the task type; and according to the optimization scheme, the conveying equipment is controlled to complete warehousing or ex-warehouse operation of the equipment. Through the dynamic goods allocation and path optimization method, the optimal storage position and the logistics path of the equipment are calculated in real time, the problems of storage space waste and unreasonable path planning caused by fixed rules are solved, and the logistics operation efficiency and the equipment scheduling accuracy are improved. Through path node and equipment state monitoring, task allocation is dynamically adjusted, and continuity and efficient completion of logistics operation are guaranteed. And aiming at abnormal conditions, goods allocation or path planning is rapidly corrected, equipment redistribution and path adjustment are realized, and manual intervention is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of warehousing and logistics automation, and in particular to an operation control method and system for vertical warehouse scheduling. Background Art

[0002] In the prior art, as an efficient warehouse management system, intelligent vertical warehouse has been widely used in many fields. It realizes full automatic control of goods entering, storing and leaving the warehouse through automated equipment and software systems. Compared with the traditional warehouse mode, it has significant advantages in improving work efficiency, reducing manual intervention and optimizing storage space utilization. However, in the storage and scheduling scenarios of electric energy metering equipment, due to the diverse models of such equipment, sensitive storage environment and frequent entry and exit operations, the existing intelligent vertical warehouse still has many limitations in task scheduling, path planning, equipment information collection and exception handling. Specifically, task scheduling mostly relies on fixed rules or manual decision-making, lacks the ability to dynamically adjust cargo space allocation and path optimization, resulting in low logistics efficiency; the status of path nodes and equipment operation information are difficult to collect and feedback in time, making it difficult for the system to respond and adjust quickly in abnormal situations such as equipment failure or path blockage; the collection and comparison process of equipment identification information is not perfect, which may cause equipment storage and scheduling errors; the exception handling mechanism relies on manual intervention, and the overall operation reliability and efficiency of the system are limited. Based on the above problems, the present invention proposes a scheduling and operation control method for intelligent vertical warehouses for electric energy metering equipment. By dynamically generating cargo space allocation and path optimization plans, realizing real-time monitoring and data closed-loop control, building an efficient verification mechanism and a complete exception handling process, the operating efficiency and reliability of the intelligent vertical warehouse are significantly improved to meet the special needs of warehousing and logistics of electric energy metering equipment. Summary of the invention

[0003] In view of the above-mentioned problems, the present invention is proposed.

[0004] Therefore, the technical problem solved by the present invention is: how to improve the accuracy of task scheduling and the efficiency of logistics operations by dynamically optimizing cargo space allocation and path planning during the warehousing and logistics scheduling of electric energy metering equipment, and at the same time ensure the stability of the equipment circulation process and the accuracy of data through real-time monitoring, verification and exception handling mechanisms, so as to overcome the limitations of existing intelligent vertical warehouses in terms of insufficient dynamic adjustment capabilities, imperfect information collection and comparison, and low exception handling efficiency.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an operation control method for vertical warehouse scheduling, which comprises the following steps:

[0006] Receive the inbound or outbound task instructions from the metering production scheduling platform, parse them and generate an operation instruction set;

[0007] Collect identification information of electric energy metering equipment and compare it with the equipment information in the task instruction;

[0008] Generate cargo space allocation or route optimization solutions based on task types;

[0009] According to the operation instructions of the optimization plan, the conveying equipment is controlled to complete the storage of the equipment to the target cargo location or the extraction from the cargo location to the outbound channel.

[0010] As a preferred solution of the operation control method of a vertical warehouse dispatching described in the present invention, wherein: the identification information of the collected electric energy metering equipment includes:

[0011] Receive the inbound or outbound task instructions from the metering production scheduling platform, parse the task content and generate the corresponding operation instruction set, collect the unique identification code on the electric energy metering device through the barcode scanning device, transmit the collected identification code to the management system through Ethernet, and the management system matches and compares the identification code with the device information in the task instruction;

[0012] When the comparison results are consistent, the identification code is bound to the turnover box information of the equipment and binding data is generated. The binding data is stored in the database, and the subsequent cargo location allocation process is triggered through the management system;

[0013] When the comparison results are inconsistent, the management system will mark the device as abnormal, generate abnormal task instructions, and transport the abnormal device to the manual processing area. After manual verification and correction of the device identification code and task instruction information, the corrected data will be re-uploaded to the management system.

[0014] As a preferred solution of the operation control method of the vertical warehouse scheduling described in the present invention, wherein: the generation of the cargo location allocation or path optimization plan according to the task type includes:

[0015] Receive the target equipment information in the task instruction and analyze the equipment type, specification, quantity and turnover box binding status;

[0016] The target cargo location is dynamically calculated through the storage optimization algorithm based on the current free status of the cargo location, regional distribution and task priority. The storage optimization algorithm prioritizes the cargo location that meets the characteristics of the equipment based on the cargo location attribute matching rules, and adjusts the allocation result according to the principle of the shortest logistics path.

[0017] The calculated target cargo location information is associated with the equipment identification code and stored in the database, and the cargo location allocation instruction is transmitted to the conveying equipment control module. The instruction contains the location information of the target cargo location, the equipment identification code and the path node sequence.

[0018] As a preferred solution of the operation control method of the vertical warehouse scheduling described in the present invention, wherein: the generating of the cargo location allocation or path optimization plan according to the task type also includes:

[0019] After receiving the outbound task, the optimal logistics path is calculated using the path optimization algorithm by analyzing the equipment identification code, task priority and equipment batch information in the task instruction, based on the relative position of the equipment's cargo location and the outbound channel; the path optimization algorithm dynamically adjusts the operation timing of the path nodes and equipment based on the operating status of the conveying equipment, the load information of the path nodes and the occupancy of the logistics channel, and generates a path optimization instruction containing the path node sequence, equipment operation steps and timing information, transmits the instruction to the conveying equipment control unit, and monitors the accuracy of the path node status optimization execution in real time.

[0020] As a preferred solution of the operation control method of the vertical warehouse scheduling described in the present invention, wherein: the operation instruction of the optimization scheme is used to control the conveying equipment to complete the storage of the equipment to the target cargo location or to extract the equipment from the cargo location to the outbound channel, including:

[0021] In the warehousing task, after receiving the cargo location allocation instruction from the management system, the conveying equipment control unit transports the electric energy metering equipment from the entrance location to the target cargo location through the conveying line according to the path node sequence contained in the instruction;

[0022] When the equipment arrives at the target cargo location, the current location and status information of the equipment is monitored by the sensor installed at the cargo location, and the monitoring information is fed back to the management system. The management system updates the record of successful storage of the equipment to the database and triggers the completion status mark;

[0023] In the outbound task, the conveyor equipment control unit extracts the equipment from the target cargo location according to the path node sequence in the path optimization plan, and sends the equipment to the designated outbound channel through the conveyor line. The equipment passes through the barcode scanning station of the outbound channel for status confirmation, and after confirmation, the outbound result is synchronized to the management system;

[0024] During the entire process of logistics operations, the operating status of the conveying equipment is collected in real time through the monitoring module. If an operating abnormality is detected, the equipment control module is triggered to suspend the operation and upload the abnormal information to the management system to trigger the abnormality handling task.

[0025] As a preferred solution of the operation control method of the vertical warehouse scheduling described in the present invention, wherein: the control of the conveying equipment to complete the storage of the equipment to the target cargo location or the extraction from the cargo location to the outbound channel according to the operation instructions of the optimization scheme also includes:

[0026] When the collected information fails to be compared, the execution of the cargo allocation instruction is interrupted, or the logistics operation fails, the management system marks the abnormal equipment as abnormal through the scheduling module, generates abnormal task instructions, and transfers the abnormal equipment from the current node to the abnormal processing area through the conveying equipment control unit;

[0027] In the exception handling area, the equipment identification information, turnover box status and logistics route are manually rechecked. After the verification, the management system generates a revised cargo location allocation instruction or route optimization instruction. After receiving the revised instruction, the conveying equipment control unit executes the logistics operation to complete the equipment reallocation. After the exception task is handled, the management system will update the processing record and equipment status to the database, and synchronize the processing record to the metering production scheduling platform through the communication interface.

[0028] As a preferred solution of the operation control method of the vertical warehouse scheduling described in the present invention, wherein: the control of the conveying equipment to complete the storage of the equipment to the target cargo location or the extraction from the cargo location to the outbound channel according to the operation instructions of the optimization scheme also includes:

[0029] After the logistics operation is completed, the management system records the inventory location information, task execution status and operation log of the electric energy metering equipment into the database, and synchronizes the data to the metering production scheduling platform in real time through the communication interface using the TCP / IP protocol;

[0030] During the data synchronization process, the management system verifies the integrity and consistency of the synchronized data through the verification module. When the verification passes, a synchronization completion status mark is generated and stored in the database. When the verification fails, the management system is triggered to retransmit the synchronized data and generate an error log record.

[0031] Another object of the present invention is to provide an operation control system for vertical warehouse scheduling, which can realize closed-loop management of the entire process of electric energy metering equipment from task reception to completion of logistics operations through the coordinated operation of a data collection module, a scheduling module, a verification module, an equipment control module and a monitoring module, thereby solving the shortcomings of existing intelligent vertical warehouses in dynamic scheduling, path adjustment, equipment information comparison and exception handling efficiency, and can fully meet the special needs of warehousing and logistics scheduling of electric energy metering equipment.

[0032] In order to solve the above technical problems, the present invention provides the following technical solutions: an operation control system for vertical warehouse scheduling, comprising: a data collection module, a scheduling module, a verification module, an equipment control module, a monitoring module and an equipment control module;

[0033] The data collection module obtains task instructions from the measurement and production scheduling platform, collects equipment identification codes through barcode scanning equipment, collects logistics path nodes and equipment operation status in real time, and uploads the execution results to the measurement and production scheduling platform;

[0034] The scheduling module receives the inbound or outbound task instructions from the metering production scheduling platform and parses the tasks into operation instructions. During the instruction reception process, an interactive interface with the platform is established through a standard communication protocol to parse the task content.

[0035] The verification module collects and compares the identification information of the device. When collecting the identification information, the unique identification code of the device is collected in real time through the barcode scanning device, and the data is transmitted to the management system; the verification module matches the identification code with the device information in the task instruction parsed by the scheduling module. When the match is successful, the identification information is stored in the database; when the match fails, the exception handling process is triggered;

[0036] The monitoring module collects the logistics path and the status of the conveying equipment in real time, and uploads the dynamic information such as the path node load and the cargo position status to the scheduling module to support path optimization;

[0037] The equipment control module executes the instructions of the scheduling module. After completing the logistics operation, it feeds back the execution results to the scheduling module, which is then synchronized to the metering production scheduling platform through the communication interface.

[0038] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the operation control method of the vertical warehouse scheduling are implemented as described above.

[0039] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned operation control method for vertical warehouse scheduling.

[0040] Beneficial effects of the present invention: The present invention calculates the optimal storage position and logistics path of the equipment in real time through a dynamic cargo space allocation and path optimization method, effectively solving the problems of storage space waste and unreasonable path planning caused by fixed rules, and significantly improving the logistics operation efficiency and the accuracy of equipment scheduling.

[0041] The present invention adopts a method of real-time collection and comparison of equipment identification information, ensures a high degree of matching between task instructions and equipment through barcode scanning and database verification, eliminates storage and scheduling problems caused by data errors, and enhances data reliability and traceability.

[0042] The present invention ensures the continuity and efficient completion of logistics operations by real-time monitoring of path nodes and equipment status, timely detecting path blockage or equipment abnormality, and dynamically adjusting task allocation and path planning, thus overcoming the problem of slow response of existing systems.

[0043] In response to abnormal situations, the present invention realizes equipment reallocation and path adjustment by quickly correcting cargo space allocation or path planning, reduces manual intervention, and improves the recovery efficiency and reliability of the system in abnormal processing.

[0044] The present invention establishes a closed-loop management mechanism for task execution. After the task is completed, the data integrity is verified and synchronized to the management system in real time, which solves the problem of inconsistent data transmission in the prior art and ensures the real-time and traceability of task execution. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0046] Figure 1 An overall flow chart of an operation control method for vertical warehouse scheduling provided by the first embodiment of the present invention;

[0047] Figure 2 This is a structural diagram of an operation control system for vertical warehouse scheduling provided in the second embodiment of the present invention. DETAILED DESCRIPTION

[0048] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0049] Example 1, reference Figure 1 As an embodiment of the present invention, a method for controlling the operation of a vertical warehouse scheduling is provided, comprising:

[0050] Receive the inbound or outbound task instructions from the metering production scheduling platform, parse them and generate an operation instruction set;

[0051] Collect identification information of electric energy metering equipment and compare it with the equipment information in the task instruction;

[0052] Generate cargo space allocation or route optimization solutions based on task types;

[0053] According to the operation instructions of the optimization plan, the conveying equipment is controlled to complete the storage of the equipment to the target cargo location or the extraction from the cargo location to the outbound channel.

[0054] Receive the inbound or outbound task instructions from the metering production scheduling platform, parse the task content and generate the corresponding operation instruction set, collect the unique identification code on the electric energy metering device through the barcode scanning device, transmit the collected identification code to the management system through Ethernet, and the management system matches and compares the identification code with the device information in the task instruction;

[0055] When the comparison results are consistent, the identification code is bound to the turnover box information of the equipment and binding data is generated. The binding data is stored in the database, and the subsequent cargo location allocation process is triggered through the management system;

[0056] When the comparison results are inconsistent, the management system will mark the device as abnormal, generate abnormal task instructions, and transport the abnormal device to the manual processing area. After manual verification and correction of the device identification code and task instruction information, the corrected data will be re-uploaded to the management system.

[0057] It is further explained that:

[0058] Parse high-level instructions from the superior system (measurement production scheduling platform) into executable operation instructions to ensure the clarity of task content and operability of execution.

[0059] By analyzing and obtaining key information such as equipment identification code, task type (inbound or outbound), priority and target cargo location, basic data support is provided for subsequent equipment identification and task execution.

[0060] Provide clear task input for system operation, ensure that the scheduling logic meets the requirements of the overall warehousing and logistics plan, and avoid task execution errors due to unclear instructions.

[0061] Receive the target equipment information in the task instruction and analyze the equipment type, specification, quantity and turnover box binding status;

[0062] The target cargo location is dynamically calculated through the storage optimization algorithm based on the current free status of the cargo location, regional distribution and task priority. The storage optimization algorithm prioritizes the cargo location that meets the characteristics of the equipment based on the cargo location attribute matching rules, and adjusts the allocation result according to the principle of the shortest logistics path.

[0063] The calculated target cargo location information is associated with the equipment identification code and stored in the database, and the cargo location allocation instruction is transmitted to the conveying equipment control module. The instruction contains the location information of the target cargo location, the equipment identification code and the path node sequence.

[0064] After receiving the outbound task, the optimal logistics path is calculated using the path optimization algorithm by analyzing the equipment identification code, task priority and equipment batch information in the task instruction, based on the relative position of the equipment's cargo location and the outbound channel; the path optimization algorithm dynamically adjusts the operation timing of the path nodes and equipment based on the operating status of the conveying equipment, the load information of the path nodes and the occupancy of the logistics channel, and generates a path optimization instruction containing the path node sequence, equipment operation steps and timing information, transmits the instruction to the conveying equipment control unit, and monitors the accuracy of the path node status optimization execution in real time.

[0065] To further explain:

[0066] Accurately identify the identity of the equipment, ensure that the logistics operation object corresponds to the target equipment in the task instruction, and avoid the entry or exit of the wrong equipment.

[0067] After the equipment identification information is successfully collected, the accuracy of the equipment and task data is verified by comparison to improve the reliability of logistics operations.

[0068] When data comparison fails, the exception handling process is triggered in time to prevent erroneous equipment from entering the logistics link, thus ensuring the stability of the system and the accuracy of the data from the source.

[0069] In the warehousing task, after receiving the cargo location allocation instruction from the management system, the conveying equipment control unit transports the electric energy metering equipment from the entrance location to the target cargo location through the conveying line according to the path node sequence contained in the instruction;

[0070] When the equipment arrives at the target cargo location, the current location and status information of the equipment is monitored by the sensor installed at the cargo location, and the monitoring information is fed back to the management system. The management system updates the record of successful storage of the equipment to the database and triggers the completion status mark;

[0071] In the outbound task, the conveyor equipment control unit extracts the equipment from the target cargo location according to the path node sequence in the path optimization plan, and sends the equipment to the designated outbound channel through the conveyor line. The equipment passes through the barcode scanning station of the outbound channel for status confirmation, and after confirmation, the outbound result is synchronized to the management system;

[0072] During the entire process of logistics operations, the operating status of the conveying equipment is collected in real time through the monitoring module. If an operating abnormality is detected, the equipment control module is triggered to suspend the operation and upload the abnormal information to the management system to trigger the abnormality handling task.

[0073] It is further explained that:

[0074] For warehousing tasks, the storage location of the equipment is reasonably arranged by dynamically calculating the cargo location allocation plan to avoid reduced storage efficiency due to improper cargo location selection; at the same time, the use of storage space resources is maximized.

[0075] For outbound tasks, the shortest path is planned through path optimization algorithm to improve the efficiency of logistics operations and reduce the time consumption and system resource occupation of equipment during the transportation process.

[0076] Realize dynamic adjustment of cargo locations and routes, so that the system can flexibly respond to changes in real-time task status and route environment (such as route congestion, occupied cargo locations), thereby ensuring the smoothness and efficiency of the operation process.

[0077] Accurately execute the logistics operation instructions in the optimization plan to ensure that the equipment reaches the target cargo location or outbound channel as required by the instructions.

[0078] During warehousing operations, equipment control is used to ensure that the equipment is accurately placed in the assigned target location, avoiding confusion in cargo locations and improving the orderliness of storage management.

[0079] In outbound operations, precise control of path nodes ensures that equipment reaches the outbound channel quickly as planned, meeting the timeliness requirements of production or distribution.

[0080] Real-time feedback and status monitoring are achieved during logistics operations to detect abnormalities and suspend operations in a timely manner, thereby ensuring the safety of equipment circulation and the stability of task execution.

[0081] When the collected information fails to be compared, the execution of the cargo allocation instruction is interrupted, or the logistics operation fails, the management system marks the abnormal equipment as abnormal through the scheduling module, generates abnormal task instructions, and transfers the abnormal equipment from the current node to the abnormal processing area through the conveying equipment control unit;

[0082] In the exception handling area, the equipment identification information, turnover box status and logistics route are manually rechecked. After the verification, the management system generates a revised cargo location allocation instruction or route optimization instruction. After receiving the revised instruction, the conveying equipment control unit executes the logistics operation to complete the equipment reallocation. After the exception task is handled, the management system will update the processing record and equipment status to the database, and synchronize the processing record to the metering production scheduling platform through the communication interface.

[0083] It is further explained that:

[0084] When the equipment identification information comparison fails, the problem equipment can be quickly located and corrected through the exception handling process to avoid subsequent logistics operation failures caused by erroneous data.

[0085] When logistics operations are interrupted (such as route blockage or equipment failure), the system can resume normal operation in the shortest time by regenerating cargo space allocation or route optimization plans, thereby improving the system's fault tolerance and reliability.

[0086] Reduce reliance on manual intervention. When anomalies occur, the system automatically locates and corrects the problem, improving processing efficiency and ensuring operational continuity.

[0087] After the logistics operation is completed, the management system records the inventory location information, task execution status and operation log of the electric energy metering equipment into the database, and synchronizes the data to the metering production scheduling platform in real time through the communication interface using the TCP / IP protocol;

[0088] During the data synchronization process, the management system verifies the integrity and consistency of the synchronized data through the verification module. When the verification passes, a synchronization completion status mark is generated and stored in the database. When the verification fails, the management system is triggered to retransmit the synchronized data and generate an error log record.

[0089] It is further explained that:

[0090] Achieve comprehensive records of task execution results, including the final storage location of the equipment, logistics path, and task completion status, providing a reliable basis for subsequent operations and problem tracing.

[0091] Through real-time data synchronization, the information consistency between the superior platform and the library system is ensured to avoid deviations in the overall logistics plan due to data delays or erroneous synchronization.

[0092] During the data synchronization process, the integrity of the data is verified through a verification mechanism to further improve the stability and traceability of the system.

[0093] Embodiment 2 is an embodiment of the present invention, which provides a system for a vertical warehouse scheduling operation control method, including: a data collection module, a scheduling module, a verification module, an equipment control module, a monitoring module and an equipment control module;

[0094] The data collection module obtains task instructions from the measurement and production scheduling platform, collects equipment identification codes through barcode scanning equipment, collects logistics path nodes and equipment operation status in real time, and uploads the execution results to the measurement and production scheduling platform;

[0095] The scheduling module receives the inbound or outbound task instructions from the metering production scheduling platform and parses the tasks into operation instructions. During the instruction reception process, an interactive interface with the platform is established through a standard communication protocol to parse the task content.

[0096] The verification module collects and compares the identification information of the device. When collecting the identification information, the unique identification code of the device is collected in real time through the barcode scanning device, and the data is transmitted to the management system; the verification module matches the identification code with the device information in the task instruction parsed by the scheduling module. When the match is successful, the identification information is stored in the database; when the match fails, the exception handling process is triggered;

[0097] The monitoring module collects the logistics path and the status of the conveying equipment in real time, and uploads the dynamic information such as the path node load and the cargo position status to the scheduling module to support path optimization;

[0098] The equipment control module executes the instructions of the scheduling module. After completing the logistics operation, it feeds back the execution results to the scheduling module, which is then synchronized to the metering production scheduling platform through the communication interface.

[0099] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0100] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0101] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0102] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0103] Embodiment 3: In this embodiment, in order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments. This embodiment experiments the existing traditional method and the method of this embodiment respectively.

[0104] The scale of the vertical warehouse: 2000 cargo spaces and 100 total transportation path nodes.

[0105] Task type: 100 warehousing tasks + 100 outbound tasks; equipment specifications are random.

[0106] Experiment duration: 8 hours of continuous task simulation.

[0107] Abnormal situations: The path was blocked 10 times, the equipment failed 5 times, and the identification information comparison failed 5 times.

[0108] The method of the present invention includes: dynamic cargo space allocation+dynamic path optimization+real-time monitoring+abnormal processing+data verification and synchronous closed-loop mechanism.

[0109] Traditional method: fixed cargo space allocation + static path planning, without real-time monitoring or exception handling.

[0110] Task completion time: The average time it takes for a single task to be generated and completed.

[0111] Equipment utilization rate: the ratio of the operating time of the conveying equipment to the total available time.

[0112] Exception response time: The average time from exception detection to completion of processing.

[0113] System throughput: the total number of inbound and outbound tasks completed per unit time (tasks / hour).

[0114] Data transmission accuracy: error rate (%) after data synchronization and verification.

[0115] Table 1 Data comparison table

[0116]

[0117]

[0118] Through simulation experiment comparison, the method of the present invention shows significant performance advantages in multiple key indicators.

[0119] In terms of task completion time, the method of the present invention reduces the delay in path selection and cargo confirmation during task execution through dynamic cargo allocation and path optimization, shortening the average task completion time to 210 seconds, an increase of 41.7% compared to 360 seconds of the traditional method, significantly improving logistics operation efficiency. Secondly, in terms of equipment utilization, the method of the present invention reduces equipment idle time by optimizing equipment scheduling and path planning, and the equipment operation efficiency is increased to 88%, an increase of 22.2% compared to 72% of the traditional method, giving full play to the utility of equipment resources.

[0120] In terms of abnormal response time, the present invention reduces the processing time of abnormal situations (such as path obstruction and equipment failure) to 35 seconds through real-time monitoring and rapid correction mechanisms, while the traditional method relies on manual intervention and the average response time is 150 seconds, which is 76.7% higher than the traditional method, significantly enhancing the system's ability to recover under abnormal conditions. In addition, the present invention also performs very well in terms of system throughput, with 50 tasks completed per hour, while the traditional method only has 30 tasks, and the overall throughput has increased by 66.7%, showing a strong ability to handle high-traffic tasks.

[0121] Finally, in terms of data transmission accuracy, the present invention achieves 99.9% data synchronization accuracy through closed-loop management and data verification mechanisms, which is 4.6% higher than the 95.5% of the traditional method, effectively solving the task deviation problem caused by inconsistent or incorrect data transmission. In summary, the experimental results fully verify the comprehensive advantages of the present method in terms of task execution efficiency, equipment utilization, exception handling and data reliability.

[0122] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for controlling the operation of a vertical warehouse dispatching, characterized in that: include: Receive the inbound or outbound task instructions from the metering production scheduling platform, parse them and generate an operation instruction set; Collect identification information of electric energy metering equipment and compare it with the equipment information in the task instruction; Generate cargo space allocation or route optimization solutions based on task types; According to the operation instructions of the optimization plan, the conveying equipment is controlled to complete the storage of the equipment to the target cargo location or the extraction from the cargo location to the outbound channel.

2. The operation control method for vertical warehouse scheduling according to claim 1, characterized in that: The identification information of the electric energy metering device includes: Receive the inbound or outbound task instructions from the metering production scheduling platform, parse the task content and generate the corresponding operation instruction set, collect the unique identification code on the electric energy metering device through the barcode scanning device, transmit the collected identification code to the management system through Ethernet, and the management system matches and compares the identification code with the device information in the task instruction; When the comparison results are consistent, the identification code is bound to the turnover box information of the equipment and binding data is generated. The binding data is stored in the database, and the subsequent cargo location allocation process is triggered through the management system; When the comparison results are inconsistent, the management system will mark the device as abnormal, generate abnormal task instructions, and transport the abnormal device to the manual processing area. After manual verification and correction of the device identification code and task instruction information, the corrected data will be re-uploaded to the management system.

3. The operation control method for vertical warehouse scheduling according to claim 2 is characterized in that: The generating of cargo location allocation or route optimization scheme according to task type includes: Receive the target equipment information in the task instruction and analyze the equipment type, specification, quantity and turnover box binding status; The target cargo location is dynamically calculated through the storage optimization algorithm based on the current free status of the cargo location, regional distribution and task priority. The storage optimization algorithm prioritizes the cargo location that meets the characteristics of the equipment based on the cargo location attribute matching rules, and adjusts the allocation result according to the principle of the shortest logistics path. The calculated target cargo location information is associated with the equipment identification code and stored in the database, and the cargo location allocation instruction is transmitted to the conveying equipment control module. The instruction contains the location information of the target cargo location, the equipment identification code and the path node sequence.

4. The operation control method for vertical warehouse scheduling according to claim 3 is characterized in that: The generating of cargo location allocation or route optimization scheme according to task type also includes: After receiving the outbound task, the optimal logistics path is calculated using the path optimization algorithm by analyzing the equipment identification code, task priority and equipment batch information in the task instruction, based on the relative position of the equipment's cargo location and the outbound channel; the path optimization algorithm dynamically adjusts the operation timing of the path nodes and equipment based on the operating status of the conveying equipment, the load information of the path nodes and the occupancy of the logistics channel, and generates a path optimization instruction containing the path node sequence, equipment operation steps and timing information, transmits the instruction to the conveying equipment control unit, and monitors the accuracy of the path node status optimization execution in real time.

5. The operation control method for vertical warehouse scheduling according to claim 4 is characterized in that: The control of the conveying equipment to complete the storage of the equipment to the target cargo location or the extraction from the cargo location to the outbound channel according to the operation instructions of the optimization plan includes: In the warehousing task, after receiving the cargo location allocation instruction from the management system, the conveying equipment control unit transports the electric energy metering equipment from the entrance location to the target cargo location through the conveying line according to the path node sequence contained in the instruction; When the equipment arrives at the target cargo location, the current location and status information of the equipment is monitored by the sensor installed at the cargo location, and the monitoring information is fed back to the management system. The management system updates the record of successful storage of the equipment to the database and triggers the completion status mark; In the outbound task, the conveyor equipment control unit extracts the equipment from the target cargo location according to the path node sequence in the path optimization plan, and sends the equipment to the designated outbound channel through the conveyor line. The equipment passes through the barcode scanning station of the outbound channel for status confirmation, and after confirmation, the outbound result is synchronized to the management system; During the entire process of logistics operations, the operating status of the conveying equipment is collected in real time through the monitoring module. If an operating abnormality is detected, the equipment control module is triggered to suspend the operation and upload the abnormal information to the management system to trigger the abnormality handling task.

6. The operation control method for vertical warehouse scheduling according to claim 5, characterized in that: The control of the conveying device to complete the storage of the equipment to the target cargo location or the extraction from the cargo location to the outbound channel according to the operation instructions of the optimization plan also includes: When the collected information fails to be compared, the execution of the cargo allocation instruction is interrupted, or the logistics operation fails, the management system marks the abnormal equipment as abnormal through the scheduling module, generates abnormal task instructions, and transfers the abnormal equipment from the current node to the abnormal processing area through the conveying equipment control unit; In the exception handling area, the equipment identification information, turnover box status and logistics route are manually rechecked. After the verification, the management system generates a revised cargo location allocation instruction or route optimization instruction. After receiving the revised instruction, the conveying equipment control unit executes the logistics operation to complete the reallocation of the equipment. After the exception task is handled, the management system will update the processing record and equipment status to the database, and synchronize the processing record to the metering production scheduling platform through the communication interface.

7. The operation control method for vertical warehouse scheduling according to claim 6 is characterized in that: The control of the conveying device to complete the storage of the equipment to the target cargo location or the extraction from the cargo location to the outbound channel according to the operation instructions of the optimization plan also includes: After the logistics operation is completed, the management system records the inventory location information, task execution status and operation log of the electric energy metering equipment into the database, and synchronizes the data to the metering production scheduling platform in real time through the communication interface using the TCP / IP protocol; During the data synchronization process, the management system verifies the integrity and consistency of the synchronized data through the verification module. When the verification passes, a synchronization completion status mark is generated and stored in the database. When the verification fails, the management system is triggered to retransmit the synchronized data and generate an error log record.

8. A system using the operation control method of a vertical warehouse scheduling as claimed in any one of claims 1 to 7, characterized in that: It includes data collection module, scheduling module, verification module, equipment control module, monitoring module and equipment control module; The data collection module obtains task instructions from the measurement and production scheduling platform, collects equipment identification codes through barcode scanning equipment, collects logistics path nodes and equipment operation status in real time, and uploads the execution results to the measurement and production scheduling platform; The scheduling module receives the inbound or outbound task instructions from the metering production scheduling platform and parses the tasks into operation instructions. During the instruction reception process, an interactive interface with the platform is established through a standard communication protocol to parse the task content. The verification module collects and compares the identification information of the device. When collecting the identification information, the unique identification code of the device is collected in real time through the barcode scanning device, and the data is transmitted to the management system; the verification module matches the identification code with the device information in the task instruction parsed by the scheduling module. When the match is successful, the identification information is stored in the database; when the match fails, the exception handling process is triggered; The monitoring module collects the logistics path and the status of the conveying equipment in real time, and uploads the dynamic information such as the path node load and the cargo position status to the scheduling module to support path optimization; The equipment control module executes the instructions of the scheduling module. After completing the logistics operation, it feeds back the execution results to the scheduling module, which is then synchronized to the metering production scheduling platform through the communication interface.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the operation control method for vertical warehouse scheduling described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the operation control method for vertical warehouse scheduling described in any one of claims 1 to 7 are implemented.

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