Method, system, terminal and computer medium for calculating the capacity of a transport vehicle device

Abstract

The application provides a kind of transport vehicle equipment transport capacity statistics method, system, terminal and computer medium, it is characterized in that, the transport vehicle equipment transport capacity statistics method includes: according to selected work log, determine selected work log is the first work log of transport vehicle equipment single machine or the second work log of delivery;If the selected work log is the first work log, extract the statistical data related to effective working capacity from the first work log;The statistical data of each transport vehicle equipment is analyzed to obtain the effective working capacity of the transport vehicle equipment, and the effective working capacity of the transport vehicle equipment is visualized;If the selected work log is the second work log, extract the statistical data related to the area task number from the second work log;The statistical data of each warehouse area is analyzed to obtain the area task number of each warehouse area, and the area task number of the each warehouse area is visualized.The application shortens the time consumption of statistics, and the automatic input statistics significantly improves office efficiency.

Description

Technical Field

[0001] This invention belongs to the field of statistical technology and relates to a statistical method and system, particularly to a method, system, terminal, and computer medium for statistically analyzing the transport capacity of transport vehicle equipment. Background Technology

[0002] Laser-guided transport vehicles typically consist of a host system and a slave device. The host system assigns task instructions to the slave device via messages, and upon completion of a task, it sends a message back to the host system. During this process, the host system also generates XML task logs. These messages and task logs are complex and often presented as single task execution records, making them difficult to read and preventing on-site personnel from intuitively understanding system capacity or individual machine operation.

[0003] Therefore, how to provide a method, system, terminal, and computer medium for transport vehicle equipment to achieve capacity statistics, in order to solve the shortcomings of existing technologies that present data in the form of single task execution, resulting in poor readability and making it impossible for field users to intuitively understand the system's capacity or the operation of individual machines, has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0004] In view of the shortcomings of the prior art described above, the purpose of this invention is to provide a method, system, terminal and computer medium for transport vehicle equipment to count transport capacity, in order to solve the problem that the prior art presents the data in the form of single task execution status, which is difficult to read and makes it impossible for field users to intuitively understand the system's transport capacity or the operation status of a single machine.

[0005] To achieve the above and other related objectives, the present invention provides a method for statistical analysis of the transport capacity of transport vehicle equipment, comprising: determining, based on a selected work log, whether the selected work log is a first work log for a single transport vehicle or a second work log for outbound transport; if the selected work log is the first work log, extracting statistical data related to effective working capacity from the first work log; analyzing the statistical data of each transport vehicle to obtain and visualize the effective working capacity of the transport vehicle; if the selected work log is the second work log, extracting statistical data related to the number of regional tasks from the second work log; analyzing the statistical data of each warehouse area to obtain and visualize the number of regional tasks of each warehouse area.

[0006] In one embodiment of the present invention, before the step of extracting statistical data related to effective working capacity from the first work log, the transport capacity statistics method of the transport vehicle equipment further includes: data initialization and variable definition of the data in the first work log.

[0007] In one embodiment of the present invention, the effective working capacity of the transport vehicle equipment includes effective operating distance, operating distance, distance percentage, effective operating time, operating time, and time percentage.

[0008] In one embodiment of the present invention, the step of analyzing the statistical data of each transport vehicle equipment to obtain the effective working capacity of the transport vehicle equipment includes: searching for effective working capacity filtering conditions from the first work log; extracting statistical data related to effective working capacity according to the effective working capacity filtering conditions; summing up the effective running distance, running distance, effective running time, and running time of each transport vehicle equipment according to the task type of the transport vehicle equipment and time periods; calculating the distance percentage based on the effective running distance and running distance of each transport vehicle equipment, and calculating the time percentage based on the effective running time and running time of each transport vehicle equipment.

[0009] In one embodiment of the present invention, before the step of extracting statistical data related to the number of regional tasks from the second work log, the transport capacity statistics method of the transport vehicle equipment further includes: performing data initialization and variable definition on the data in the second work log.

[0010] In one embodiment of the present invention, the step of extracting statistical data related to the number of regional tasks from the second work log includes: extracting the completion time of material delivery at different stations during the day from the second work log, storing the completion time of each material delivery at different stations, and calculating the maximum, minimum and average value of the material delivery time during the day; and calculating the maximum, minimum and average value of the material delivery time for the month based on the maximum, minimum and average value of the material delivery time for each day.

[0011] In one embodiment of the present invention, the step of analyzing the statistical data of each warehouse area to obtain the number of regional tasks in each warehouse area includes: classifying and counting the regional tasks of each warehouse area according to different outbound templates to obtain the number of regional tasks in each warehouse area.

[0012] Another aspect of the present invention provides a transport vehicle equipment capacity statistics system, comprising: a determination module, configured to determine, based on a selected work log, whether the selected work log is a first work log for a single transport vehicle equipment or a second work log for outbound transport; a single-unit statistics module, configured to, if the selected work log is the first work log, extract statistical data related to effective working capacity from the first work log; analyze the statistical data of each transport vehicle equipment to obtain the effective working capacity of the transport vehicle equipment, and display the effective working capacity of the transport vehicle equipment; and an outbound statistics module, configured to, if the selected work log is the second work log, extract statistical data related to the number of regional tasks from the second work log; analyze the statistical data of each warehouse area to obtain the number of regional tasks of each warehouse area, and display the number of regional tasks of each warehouse area.

[0013] In another aspect, the present invention provides a computer medium having a computer program stored thereon, which, when executed by a processor, implements a method for calculating the transport capacity of the transport vehicle equipment.

[0014] The final aspect of the present invention provides a transport vehicle equipment capacity statistics terminal, comprising: a processor and a memory; the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the capacity statistics terminal performs the transport vehicle equipment capacity statistics method.

[0015] As described above, the transport vehicle equipment capacity statistics method, system, terminal, and computer medium of the present invention have the following beneficial effects:

[0016] First, the present invention is easy to operate, and daily maintenance personnel do not need to understand the system message / log structure;

[0017] Second, this invention is compatible with multiple platforms; the tool can be used with Microsoft software and Kingsoft Office software.

[0018] Third, this invention shortens the time required for statistical analysis, and the automated data entry and statistical analysis significantly improves office efficiency;

[0019] Fourth, this invention has an open architecture, allowing anyone with basic VB programming skills to modify the statistical conditions and content;

[0020] Fifth, this invention uses a UI interface for display, allowing anyone with office automation knowledge to understand the data source and adjust the display based on Excel.

[0021] Sixth, the data statistics of this invention are accurate. The module functions are confirmed to be normal and the data statistics are true through more than 200 Tr logs and 2,600 single-machine logs over six months. Attached Figure Description

[0022] Figure 1 The diagram shown is a flowchart illustrating one embodiment of the transport vehicle equipment capacity statistics method of the present invention.

[0023] Figure 2 The diagram shown is a flowchart of step S12 in the transport vehicle equipment capacity statistics method of the present invention.

[0024] Figure 3 The diagram shown is a flowchart of S13 in the transport vehicle equipment capacity statistics method of the present invention.

[0025] Figure 4 The diagram shown is a schematic representation of the transport capacity statistics system for the transport vehicle equipment of the present invention in one embodiment.

[0026] Component designation explanation

[0027] 4. Transport vehicle equipment capacity statistics system

[0028] 41. Determine the module

[0029] 42 Standalone Statistics Module

[0030] 43 Outbound Statistics Module

[0031] 44. Visualization Module

[0032] Steps S11 to S14

[0033] Steps S121~S123

[0034] Steps S131~S134 Detailed Implementation

[0035] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and features described therein can be combined with each other.

[0036] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0037] Example 1

[0038] This embodiment provides a method for calculating the transport capacity of transport vehicle equipment, including:

[0039] Based on the selected work log, determine whether the selected work log is the first work log of a single transport vehicle or the second work log of outbound shipment.

[0040] If the selected work log is the first work log, extract statistical data related to effective working capacity from the first work log; analyze the statistical data of each transport vehicle equipment to obtain the effective working capacity of the transport vehicle equipment, and visualize the effective working capacity of the transport vehicle equipment.

[0041] If the selected work log is the second work log, extract statistical data related to the number of regional tasks from the second work log; analyze the statistical data of each storage area to obtain the number of regional tasks for each storage area, and display the number of regional tasks for each storage area.

[0042] The following will describe in detail the capacity statistics method for transport vehicle equipment provided in this embodiment, with reference to the illustrations. In this embodiment, the capacity statistics method for transport vehicle equipment is specifically applied to laser-guided transport vehicle equipment in the logistics industry.

[0043] Please see Figure 1 The diagram shows a flowchart of a method for statistically analyzing the transport capacity of transport vehicle equipment in one embodiment. Figure 1 As shown, the method for calculating the transport capacity of the transport vehicle equipment specifically includes the following steps:

[0044] S11, Based on the selected work log, determine whether the selected work log is the first work log of the transport vehicle equipment or the second work log of the outbound shipment.

[0045] In this embodiment, S11 includes: selecting the statistical date and the path of the date folder, and determining whether the selected work log is the first work log of the transport vehicle equipment (also known as the AGV single machine work log) or the second work log of the outbound shipment based on the date format and file location of the work log corresponding to the path.

[0046] S12, if the selected work log is the first work log, extract statistical data related to effective working capacity from the first work log; analyze the statistical data of each transport vehicle equipment to obtain the effective working capacity of the transport vehicle equipment.

[0047] Please see Figure 2 This is a flowchart of S12. (For example...) Figure 2 As shown, S12 includes:

[0048] S121, initialize the data and define variables in the first work log.

[0049] In this embodiment, defining variables in the AGV single-machine work log facilitates the assignment and modification of large amounts of data. For example, the statement `Dim idate, nextdate, istartime, iendtime, ipath, ixmlpath, linshi As String` defines variables used to extract data from different time periods in different log files. Without variables, the program would become extremely cumbersome and inconvenient. Another example is the statement `Dim Outcome, type0, Started, Finished, LoadTypeID, Priority, Odometer As Integer`, which defines variables used to store the column numbers of each label. This makes the program easier to understand and facilitates later modifications and improvements.

[0050] S122: The effective working capacity filtering criteria are retrieved from the first work log after data initialization and variable definition. Based on these criteria, statistical data related to the effective working capacity are extracted. In this embodiment, the effective working capacity of the transport vehicle equipment includes indicators such as effective running distance, running distance percentage, distance percentage, effective running time, running time, and time percentage. In this embodiment, the filtering criteria include cargo pickup and delivery time nodes, status flag bits, etc.

[0051] Taking the effective running distance as an example, the filtering conditions for the effective running distance are that the Type (H) column is equal to PICK, DROP, or WAIT, and the Outcome (AM) column is not equal to CANCELLED.

[0052] S123, according to the task type of the transport vehicle equipment, the effective operating distance, operating distance, effective operating time and operating time of each transport vehicle equipment are accumulated in different time periods; the distance percentage is calculated based on the effective operating distance and operating distance of each transport vehicle equipment, and the time percentage is calculated based on the effective operating time and operating time of each transport vehicle equipment.

[0053] S13, if the selected work log is the second work log, extract statistical data related to the number of regional tasks from the second work log; analyze the statistical data of each storage area to obtain the number of regional tasks for each storage area. In practical applications, each storage area refers to the area involved in the operation of the intelligent vehicle in the storage area.

[0054] Please see Figure 3 The flowchart shown is for S13. Figure 3 As shown, S13 includes:

[0055] S131, initialize the data and define variables in the second work log.

[0056] In this embodiment, defining some variables in the second working log facilitates the assignment and modification of large amounts of data. For example, the statement `Dim idate, isarttime, iendtime, ipath, ixmlpath, linshi As String` defines variables used to extract data from different time periods in different log files. Without these variables, the program would become extremely cumbersome and inconvenient. Another example is the statement `Dim Outcome, type0, Started, Finished, LoadTypeID, Priority, Odometer As Integer`, which defines variables used to store the column numbers of each label. This makes the program easier to understand and facilitates later modifications and improvements.

[0057] S132, extract the completion time of material delivery at different stations throughout the day from the second work log, store the completion time of each material delivery at different stations, and calculate the maximum, minimum and average value of the material delivery time throughout the day.

[0058] In this embodiment, since there are different machines in different work areas, the utilization rates of these machines are different. Some machines have a small workload, while others have a large workload. Those machines with particularly large workloads may have some tasks waiting, which will drag down the efficiency of the entire process. In order to analyze these machines, it is necessary to analyze the feeding time of each station.

[0059] S133, based on the maximum, minimum and average values ​​of the feeding time for each day, calculate the maximum, minimum and average values ​​of the feeding time for the current month.

[0060] In this embodiment, the working status of each station during the day can be obtained by analyzing the feeding time of each station on the same day. However, in the actual production process, there are occasional events where the tasks of certain processes or procedures surge during a specific period of time. The feeding time analysis of a single day cannot fully reflect the problem. It is necessary to collect statistics over a longer period of time. Therefore, step S133 is introduced to compare and analyze the feeding time of each station in the current month. By collecting the feeding time statistics of each station within a month, the working status of each station can be fully and objectively reflected.

[0061] S134, Based on different outbound templates, the regional tasks of each warehouse area are classified and counted to obtain the number of regional tasks for each warehouse area. In this embodiment, the outbound template is used to count the number of tasks in different work areas of each warehouse area.

[0062] For example, the outbound template categorizes the tasks performed by the intelligent vehicles based on their main destinations: outbound, return, and inbound. Within these three destinations, further subdivisions are made according to different areas within the workshop. Taking outbound as an example, it's divided into the South Zone, North Zone, Filter Rod Zone, and Cardboard Box Zone. The South Zone is further divided into Auxiliary Material Pallets, Waste Bins, and Residual Smoke Bins. This categorization refines the vehicle's task destinations and provides a clear picture of task distribution. The algorithm is implemented using relevant markers in the vehicle logs and the outbound formula to perform the categorization. Taking the South Zone auxiliary material pallets as an example, after filtering logs for a specified time period, tasks meeting the following criteria are accumulated: LoadTypeID(O) tag is 01_RAW_MATERIAL, Command(I) tag is DROP, and the first five digits of DestinationID(CG) tag are 50-009. This sums up the number of tasks that completed the outbound operation to the South Zone auxiliary material pallets.

[0063] S14, visualize the effective working capacity of the transport vehicle equipment or visualize the number of regional tasks in each warehouse area.

[0064] The transport vehicle equipment capacity statistics method described in this embodiment has the following beneficial effects:

[0065] First, this embodiment is easy to operate, and daily maintenance personnel do not need to understand the system message / log structure;

[0066] Second, this embodiment is compatible with multiple platforms; the tool can be used with Microsoft software and Kingsoft Office software.

[0067] Third, this embodiment shortens the statistical time and the automated data entry significantly improves office efficiency;

[0068] Fourth, this embodiment has an open architecture, and anyone with basic VB programming skills can modify the statistical conditions and content;

[0069] Fifth, this embodiment uses a UI interface for display. Based on Excel, anyone with office automation knowledge can understand the data source and adjust the display accordingly.

[0070] Sixth, the data statistics in this embodiment are accurate. The module functions are confirmed to be normal and the data statistics are true through more than 200 Tr logs and 2,600 single-machine logs over six months.

[0071] This embodiment also provides a computer medium (also known as a computer-readable storage medium) storing a computer program thereon, which, when executed by a processor, implements the above-mentioned method for calculating the transport capacity of the transport vehicle equipment.

[0072] Those skilled in the art will understand that a computer-readable storage medium can be used to implement all or part of the steps of the above-described method embodiments, which can be accomplished by hardware related to a computer program. The aforementioned computer program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0073] Example 2

[0074] This embodiment provides a transport vehicle equipment capacity statistics system, characterized in that it includes:

[0075] The determination module is used to determine whether the selected work log is the first work log of a single transport vehicle or the second work log of outbound shipment, based on the selected work log.

[0076] The stand-alone statistics module is used to extract statistical data related to effective working capacity from the first working log when the selected working log is the first working log; analyze the statistical data of each transport vehicle equipment to obtain the effective working capacity of the transport vehicle equipment, and display the effective working capacity of the transport vehicle equipment.

[0077] The outbound statistics module is used to extract statistical data related to the number of regional tasks from the second work log when the selected work log is the second work log; analyze the statistical data of each warehouse area to obtain the number of regional tasks of each warehouse area, and display the number of regional tasks of each warehouse area.

[0078] The following will describe in detail the transport vehicle equipment capacity statistics system provided in this embodiment, with reference to the accompanying diagrams. Please refer to... Figure 4 The diagram shows a schematic representation of the transport vehicle equipment capacity statistics system in one embodiment. Figure 4 As shown, the transport vehicle equipment capacity statistics system 4 includes a determination module 41, a single-machine statistics module 42, an outbound statistics module 43, and a visualization module 44.

[0079] The determining module 41 is used to determine, based on the selected work log, whether the selected work log is the first work log of a single transport vehicle equipment or the second work log of outbound shipment.

[0080] Specifically, the determining module 41 selects the statistical date and the path of the day folder, and determines the selected work log as the first work log of the transport vehicle equipment (also known as the AGV single machine work log) or the second work log of the outbound vehicle based on the date format and file location of the work log corresponding to the path.

[0081] The stand-alone statistics module 42 is used to extract statistical data related to effective working capacity from the first working log when the selected working log is the first working log; analyze the statistical data of each transport vehicle equipment to obtain the effective working capacity of the transport vehicle equipment, and visualize the effective working capacity of the transport vehicle equipment.

[0082] Specifically, the stand-alone statistics module 42 initializes and defines variables in the first work log. It then searches the first work log after data initialization and variable definition for filtering criteria of effective working capacity. Based on these criteria (in this embodiment, the effective working capacity of the transport vehicle equipment includes indicators such as effective running distance, running distance, distance percentage, effective running time, running time, and time percentage), it extracts statistical data related to effective working capacity. Based on the task type of the transport vehicle equipment, it accumulates the effective running distance, running distance, effective running time, and running time for each transport vehicle equipment across time periods. Finally, it calculates the distance percentage based on the effective running distance and running distance of each transport vehicle equipment, and calculates the time percentage based on the effective running time and running time of each transport vehicle equipment.

[0083] The outbound statistics module 43 is used to initialize data and define variables in the second work log; extract the completion time of material delivery at different stations throughout the day from the second work log, store the completion time of each delivery at different stations, and calculate the maximum, minimum, and average delivery time for the day. Based on the maximum, minimum, and average delivery times for each day, the maximum, minimum, and average delivery times for the month are calculated. According to different outbound templates, the regional tasks of each warehouse area are classified and counted to obtain the number of regional tasks for each warehouse area. In this embodiment, the outbound template is used to count the number of tasks in different work areas of each warehouse area.

[0084] The visualization module 44 is used to visualize the effective working capacity of the transport vehicle equipment or to visualize the number of regional tasks in each warehouse area.

[0085] It should be noted that the division of the various modules in the above system is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing element calls, entirely in hardware, or partially in software calls via processing element calls, with some modules implemented in hardware. For example, module x can be a separate processing element or integrated into a chip within the system. Additionally, module x can be stored as program code in the system's memory, invoked and executed by a processing element. The implementation of other modules is similar. These modules can be fully or partially integrated together or implemented independently. The processing element mentioned here can be an integrated circuit with signal processing capabilities. During implementation, each step of the above method or each of the above modules can be completed through integrated logic circuits in the processor element or through software instructions. These modules can be one or more integrated circuits configured to implement the above methods, such as one or more Application Specific Integrated Circuits (ASICs), one or more Digital Signal Processors (DSPs), one or more Field Programmable Gate Arrays (FPGAs), etc. When a module is implemented through processing element scheduler code, the processing element can be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. These modules can be integrated together to form a System-on-a-Chip (SOC).

[0086] Example 3

[0087] This embodiment provides a capacity statistics terminal for transport vehicle equipment. The capacity statistics terminal for transport vehicle equipment includes: a processor, a memory, a transceiver, a communication interface and / or a system bus; the memory and the communication interface are connected to the processor and the transceiver through the system bus and complete mutual communication. The memory is used to store computer programs, the communication interface is used to communicate with other devices, and the processor and the transceiver are used to run the computer programs, so that the capacity statistics terminal for transport vehicle equipment executes the various steps of the capacity statistics method for transport vehicle equipment as described in Embodiment 1.

[0088] The system bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This system bus can be divided into address bus, data bus, control bus, etc. For ease of representation, only one thick line is used in the diagram, but this does not indicate that there is only one bus or one type of bus. The communication interface is used to enable communication between the database access device and other devices (such as clients, read-write libraries, and read-only libraries). Memory may include Random Access Memory (RAM) and may also include non-volatile memory, such as at least one disk drive.

[0089] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0090] The scope of protection of the transport vehicle equipment capacity statistics method described in this invention is not limited to the execution order of the steps listed in this embodiment. Any solution implemented by adding, subtracting, or replacing steps in the prior art based on the principles of this invention is included within the scope of protection of this invention.

[0091] This invention also provides a transport vehicle equipment capacity statistics system, which can implement the transport vehicle equipment capacity statistics method described in this invention. However, the implementation device of the transport vehicle equipment capacity statistics method described in this invention includes, but is not limited to, the structure of the transport vehicle equipment capacity statistics system listed in this embodiment. All structural modifications and substitutions of the prior art made according to the principles of this invention are included within the protection scope of this invention.

[0092] In summary, the transport capacity statistics method, system, terminal, and computer medium of the transport vehicle equipment described in this invention have the following beneficial effects:

[0093] First, the present invention is easy to operate, and daily maintenance personnel do not need to understand the system message / log structure;

[0094] Second, this invention is compatible with multiple platforms; the tool can be used with Microsoft software and Kingsoft Office software.

[0095] Third, this invention shortens the time required for statistical analysis, and the automated data entry and statistical analysis significantly improves office efficiency;

[0096] Fourth, this invention has an open architecture, allowing anyone with basic VB programming skills to modify the statistical conditions and content;

[0097] Fifth, this invention uses a UI interface for display, allowing anyone with office automation knowledge to understand the data source and adjust the display based on Excel.

[0098] Sixth, the data statistics of this invention are accurate. Verification of the module's functionality and the accuracy of the statistical content is confirmed through over 200 Tr logs (first logs) and 2600 single-machine logs (second logs) over six months. This invention effectively overcomes various shortcomings of existing technologies and possesses high industrial application value.

[0099] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A method for calculating the transport capacity of transport vehicle equipment, characterized in that, The method, applied to laser-guided transport vehicle equipment, includes: Based on the selected work log, determine whether the selected work log is the first work log of a single transport vehicle or the second work log of outbound shipment. If the selected work log is the first work log, statistical data related to effective working capacity are extracted from the first work log. The effective working capacity of the transport vehicle equipment includes effective running distance, running distance, distance percentage, effective running time, running time, and time percentage. The statistical data of each transport vehicle equipment is analyzed to obtain the effective working capacity of the transport vehicle equipment, and the effective working capacity of the transport vehicle equipment is visualized. The step of analyzing the statistical data of each transport vehicle equipment to obtain the effective working capacity of the transport vehicle equipment includes: finding the effective working capacity filtering conditions from the first work log; extracting statistical data related to effective working capacity according to the effective working capacity filtering conditions; summing the effective running distance, running distance, effective running time, and running time of each transport vehicle equipment according to the task type and time period; calculating the distance percentage and the time percentage based on the effective running distance and running distance of each transport vehicle equipment; If the selected work log is the second work log, extract statistical data related to the number of regional tasks from the second work log, including: extracting the completion time of material delivery at different stations during the day from the second work log, storing the completion time of each material delivery at different stations, and calculating the maximum, minimum, and average value of the material delivery time during the day; based on the maximum, minimum, and average value of the material delivery time during each day, calculate the maximum, minimum, and average value of the material delivery time during the month; analyze the statistical data of each warehouse area to obtain the number of regional tasks for each warehouse area, and visualize the number of regional tasks for each warehouse area, including: classifying and counting the regional tasks of each warehouse area according to different outbound templates to obtain the number of regional tasks for each warehouse area.

2. The method for calculating the transport capacity of transport vehicle equipment according to claim 1, characterized in that, Prior to the step of extracting statistical data related to effective working capacity from the first work log, the method for calculating the transport capacity of the transport vehicle equipment further includes: Perform data initialization and variable definition on the data in the first work log.

3. The method for calculating the transport capacity of transport vehicle equipment according to claim 1, characterized in that, Before the step of extracting statistical data related to the number of regional tasks from the second work log, the method for calculating the transport capacity of the transport vehicle equipment further includes: Perform data initialization and variable definition on the data in the second work log.

4. A transport vehicle capacity statistics system for implementing the transport vehicle capacity statistics method as described in any one of claims 1-3, characterized in that, The system includes: The determination module is used to determine whether the selected work log is the first work log of a single transport vehicle or the second work log of outbound shipment, based on the selected work log. The stand-alone statistics module is used to extract statistical data related to effective working capacity from the first working log when the selected working log is the first working log; analyze the statistical data of each transport vehicle equipment to obtain the effective working capacity of the transport vehicle equipment, and display the effective working capacity of the transport vehicle equipment. The outbound statistics module is used to extract statistical data related to the number of regional tasks from the second work log when the selected work log is the second work log; analyze the statistical data of each warehouse area to obtain the number of regional tasks of each warehouse area, and display the number of regional tasks of each warehouse area.

5. A computer storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the capacity statistics method for the transport vehicle equipment as described in any one of claims 1 to 3.

6. A capacity statistics terminal for transport vehicle equipment, characterized in that, include: Processor and memory; The memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to cause the capacity statistics terminal to perform the capacity statistics method of the transport vehicle equipment as described in any one of claims 1 to 3.

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