An intelligent storage management system for sports facilities and equipment

Abstract

The present invention relates to the technical field of sports facility equipment management, and specifically to an intelligent storage management system for sports facility equipment, including a data acquisition module, a central control module, a space optimization module, an in-and-out warehouse management module, an equipment maintenance module, and an automated equipment control module; wherein: the data acquisition module: collects data including equipment types, quantities, storage locations, usage frequencies, and status information; the central control module: is used to generate storage management instructions; the space optimization module: is used to optimize the storage location and path of the equipment; the in-and-out warehouse management module: manages the in-and-out warehouse operations of the equipment; the equipment maintenance module: monitors the usage and maintenance requirements of sports facility equipment. The present invention significantly improves the efficiency and accuracy of storage management through automated control, real-time status monitoring, and space optimization technology, ensures consistency of operation, and optimizes resource utilization, thereby reducing costs and increasing the service life of equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of sports facility equipment management, and in particular to an intelligent storage management system for sports facility equipment. Background Art

[0002] With the rapid development of the sports industry, the types and quantity of sports facilities and equipment have increased dramatically, which has put forward higher requirements for the management of sports facilities and equipment. In the existing sports facilities and equipment management systems, especially the storage and maintenance links, they still rely heavily on manual operations or semi-automated systems, which leads to problems such as low efficiency, high error rate and insufficient resource utilization. For example, traditional facility equipment storage management systems are often unable to monitor the use status and maintenance cycle of equipment in real time, resulting in the use and maintenance of equipment cannot be optimized, thus affecting the quality and efficiency of the entire sports service.

[0003] In addition, existing technologies have obvious deficiencies in automated equipment control and storage space optimization. In most cases, the automated system cannot accurately adjust and optimize the storage location and maintenance plan of equipment, and lacks consistency guarantees for warehousing operations and dynamic adjustments of storage space. This not only increases operating costs, but also reduces the utilization efficiency of storage space.

[0004] Therefore, there is an urgent need to develop a system that can achieve efficient and intelligent management of sports facilities and equipment, especially in terms of automatic control, status monitoring and space utilization optimization, so as to improve management efficiency, reduce error rate and maximize the use of storage space. Summary of the invention

[0005] Based on the above objectives, the present invention provides an intelligent storage management system for sports facilities and equipment.

[0006] An intelligent storage management system for sports facilities and equipment includes a data acquisition module, a central control module, a space optimization module, an in-and-out storage management module, an equipment maintenance module, and an automated equipment control module; wherein:

[0007] Data collection module: Through the deployed sensors and RFID tags, data including equipment type, quantity, storage location, usage frequency and status information are collected from sports facilities and equipment in real time;

[0008] Central control module: receives real-time data collected from the data acquisition module, conducts comprehensive analysis on the use of equipment and the utilization rate of storage space, and generates corresponding storage management instructions;

[0009] Space optimization module: According to the storage management instructions transmitted by the central control module, the storage space is dynamically adjusted to optimize the storage location and path of the equipment. At the same time, the adjusted storage location and path data are transmitted to the automation equipment control module to guide the operation of the automation equipment;

[0010] In and out management module: manage the in and out operations of equipment according to the storage management instructions of the central control module, ensure that the in and out operations are consistent with the dynamic adjustment of the storage space, and feed back the in and out operation data to the central control module to update the status information of the equipment in real time;

[0011] Equipment maintenance module: Based on the equipment status information collected by the data acquisition module, it monitors the usage and maintenance needs of sports facilities and equipment, automatically generates maintenance plans and notifies relevant maintenance personnel;

[0012] Automation equipment control module: receives equipment storage location, path data and maintenance instructions transmitted by the space optimization module, storage management module and equipment maintenance module, and controls related automation equipment to perform equipment access and maintenance operations.

[0013] Optionally, the data acquisition module includes a radio frequency identification unit, a sensor unit and a data processing unit; wherein:

[0014] Radio frequency identification unit: used to communicate with the RFID tags bound to the sports facilities and equipment, obtain the type and unique identification information of the equipment in real time, and transmit the unique identification information to the data processing unit;

[0015] Sensor unit: deployed in the storage area, used to detect and obtain the quantity, storage location, usage frequency and status information of equipment in real time. The sensor unit includes a position sensor, a weight sensor and an environmental sensor;

[0016] Data processing unit: used to receive all data from the RFID unit and the sensor unit, and organize, filter and integrate the data to generate real-time data packets with time stamps.

[0017] Optionally, the central control module includes a data receiving unit, an analysis and processing unit, and an instruction generating unit; wherein:

[0018] Data receiving unit: used to receive real-time data transmitted from the data acquisition module, including the type, quantity, storage location, frequency of use and status information of the equipment. The data receiving unit also includes a data verification function to ensure the integrity of the received data;

[0019] Analysis and processing unit: used to obtain data from the data receiving unit and conduct a comprehensive analysis of the use of equipment and the utilization rate of storage space;

[0020] The analysis processing unit includes a usage frequency analysis subunit and a space utilization analysis subunit;

[0021] Frequency of use analysis subunit: used to predict future equipment usage needs based on historical data and real-time frequency of use data;

[0022] Space utilization analysis subunit: used to evaluate the current storage space utilization and identify potential space optimization opportunities based on the storage location of the equipment and the available space in the storage area;

[0023] Instruction generation unit: used to generate specific warehouse management instructions based on the comprehensive analysis results of the analysis and processing unit, including equipment reallocation, storage location adjustment, and in and out warehouse priority setting.

[0024] Optionally, the usage frequency analysis subunit specifically includes:

[0025] Historical data acquisition and organization: Extract the historical usage data of the equipment from the data receiving unit. The historical data includes the frequency of use within a predetermined time period. , Use times and related timestamp information, and organize historical data to form a time series data set ;

[0026] Real-time data collection and integration: Extract real-time usage frequency data from the data receiving unit and the number of times used in the current time period , and combine real-time data with historical data to form an extended data set ; Trend analysis and seasonal adjustment: an extended dataset Perform time series analysis, use weighted moving average method to smooth historical and real-time data, and calculate weighted average usage frequency , the formula is:

[0027] ,in, is the weighted average frequency of use; For the The frequency of use of historical data points; For the Frequency of use of real-time data points; For the The weight coefficient of each historical data point; For the The weight coefficient of each real-time data point; is the number of historical data points; is the number of real-time data points;

[0028] Regression model building and training: Using the frequency analysis subunit based on the extended dataset , a linear regression model is used to build a prediction model to predict the usage demand in the future predetermined time period. The expression of the prediction model is: ,in, Indicates at time Frequency of use of internal predictions, and are the coefficients of the regression model, is a constant term, is the time coefficient, is the weighted average frequency coefficient;

[0029] Prediction result output: The future usage frequency calculated by the prediction model As a forecast of future equipment usage demand.

[0030] Optionally, the space utilization analysis subunit includes:

[0031] Spatial data acquisition and organization: Obtain equipment storage location data from the data receiving unit and available space data for storage areas , storing location data Includes the current X, Y, and Z coordinates of each device and available space data It represents the volume of unoccupied space within the storage area;

[0032] Storage space utilization calculation: Use the space utilization analysis subunit to calculate the current storage space utilization. The calculation formula is: ,in, is the current utilization rate of storage space, is the actual space volume occupied by the equipment. is the total available space volume of the storage area, ,in, For the The spatial volume of each device;

[0033] Spatial distribution density analysis: by calculating the distribution density of each equipment in the storage area , identify the area of ​​uneven storage, and the calculation formula for distribution density is: ,in, For the The equipment distribution density in each area is For the The number of devices in the area, For the The horizontal projection area of ​​the region;

[0034] Identification of space optimization opportunities: Identify low-utilization areas within the storage area based on calculations of storage space utilization and distribution density and high-density areas , where low utilization areas For spaces where utilization is below a set threshold, high-density areas It is the area where the distribution density is higher than the set threshold.

[0035] Optionally, the space optimization module includes an instruction receiving unit, a position adjustment unit and a path optimization unit; wherein:

[0036] Instruction receiving unit: used to receive and decode warehouse management instructions from the central control module, including equipment storage position adjustment instructions and path optimization instructions;

[0037] Position adjustment unit: According to the storage position adjustment command transmitted by the command receiving unit, the current storage position of the equipment is analyzed, specifically based on the low utilization area provided by the space utilization analysis subunit. and high-density areas Data, determine the optimal storage location of the equipment, and calculate the optimized storage coordinates of the equipment , re-plan the three-dimensional storage position of the equipment, the formula is: ,in, Indicates the adjusted storage position. Indicates the current storage location. is the position offset calculated based on the optimization;

[0038] Path optimization unit: Based on the path optimization instructions transmitted by the instruction receiving unit, the path optimization unit optimizes the access path of the equipment in the storage area. The path optimization unit combines the results of the position adjustment unit and the real-time spatial layout of the storage area to generate the optimal path. , specifically, the A* algorithm or the Dijkstra algorithm is used for path calculation.

[0039] Optionally, the inbound and outbound management module includes an instruction execution unit, an operation monitoring unit and a data feedback unit; wherein:

[0040] Instruction execution unit: used to receive warehouse management instructions from the central control module and control the outbound and inbound operations of materials according to the instructions;

[0041] Operation monitoring unit: used to monitor the movement status of equipment in real time during the process of outbound and inbound storage to ensure that the operation is carried out according to the instructions. Specifically, the current position of the equipment is detected by position sensors and weight sensors. and quantity changes , to confirm whether the storage and warehousing operations are completed smoothly;

[0042] Data feedback unit: used to send actual operation data, including the final storage location of the equipment, after the storage and retrieval operations are completed. , equipment status information and quantity change data , and feeds back to the central control module. By comparing the equipment status data before and after the operation, the equipment status information in the central control module is updated.

[0043] Optionally, the data feedback unit includes:

[0044] Pre-operation data recording: Before the storage and retrieval operation begins, the initial status data of the equipment is obtained from the operation monitoring unit, including the initial storage location. 、Number of equipment and state parameters The initial dataset ;

[0045] Post-operation data acquisition: After the storage and warehousing operations are completed, the final status data of the equipment is obtained from the operation monitoring unit, including the final storage location. 、Number of equipment and state parameters The final dataset ;

[0046] State data comparison and difference calculation: Comparison of initial data sets With the final dataset , calculate the change in storage location , quantity change and state change , the formula is: ; ; ,in, is the change in equipment position, is the change in the number of equipment, is the change in equipment status parameters;

[0047] Status information update: The calculated change , and Applied to the equipment status information in the central control module to update the real-time status of the equipment.

[0048] Optionally, the equipment maintenance module includes a status monitoring unit, a demand analysis unit and a maintenance plan generation unit; wherein:

[0049] Status monitoring unit: used to obtain and continuously monitor the status information of the equipment from the data acquisition module, including the physical status parameters of the equipment Frequency of use and duration of use , and conduct real-time analysis of parameters to detect the operating status and wear degree of the equipment, and transmit the analysis results to the demand analysis unit;

[0050] Demand analysis unit: Based on the analysis results transmitted by the status monitoring unit, the maintenance needs of the equipment are evaluated. The demand analysis unit determines whether the equipment needs maintenance through the preset maintenance threshold and calculates the maintenance priority of the equipment. ; According to the calculation results, determine the list of equipment that needs maintenance and transmit it to the maintenance plan generation unit;

[0051] Maintenance plan generation unit: used to analyze the equipment maintenance priorities provided by the demand analysis unit and the current storage resource situation, automatically generates a maintenance plan, the maintenance plan includes specific maintenance operations, time schedule and required material list, and the maintenance plan generation unit also includes notifying relevant maintenance personnel of the maintenance plan.

[0052] Optionally, the automation equipment control module includes an instruction parsing unit, an equipment scheduling unit and an operation execution unit; wherein:

[0053] Instruction parsing unit: receives equipment storage location data from the space optimization module, path data from the in-and-out storage management module, and maintenance instructions from the equipment maintenance module, and parses the data and instructions, and sends the parsed storage location data to the storage location. , path information and maintenance operation instructions Transmit to the equipment scheduling unit and the operation execution unit;

[0054] Equipment dispatching unit: dispatches the automated equipment in the storage area according to the storage location and path information transmitted by the instruction parsing unit. The automated equipment includes automated shelves, handling robots and conveyor belts. The equipment dispatching unit will give priority to dispatching equipment with the optimal path. equipment;

[0055] Operation execution unit: used to control the automation equipment to the specified storage location based on the scheduling results of the equipment scheduling unit , path information and maintenance instructions Perform specific access and maintenance operations.

[0056] Beneficial effects of the present invention:

[0057] The present invention significantly improves the efficiency and accuracy of warehouse management by introducing advanced automated equipment control modules, precise status monitoring and dynamic space optimization technology. The system makes the storage, retrieval and maintenance of equipment more efficient, reduces human errors and operation time through automation, and ensures the correct use and timely maintenance of equipment. In addition, the system can effectively predict the use requirements and maintenance cycles of equipment through real-time data analysis, thereby optimizing storage space utilization and equipment maintenance plans, reducing management costs and extending the service life of equipment.

[0058] The present invention ensures the consistency of storage operations and space adjustments through an integrated monitoring and feedback mechanism, effectively avoiding waste of resources and insufficient space utilization due to asynchronous operations. The system can also automatically adjust storage strategies to adapt to changing equipment storage needs, thereby improving the adaptability and reliability of the entire system. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0060] Figure 1 A schematic diagram of an intelligent warehouse management system according to an embodiment of the present invention;

[0061] Figure 2 Schematic diagram of a central control module according to an embodiment of the present invention. DETAILED DESCRIPTION

[0062] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0063] It should be noted that the references to "one embodiment", "embodiment", "exemplary embodiments", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0064] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending, at least in part, on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0065] like Figure 1-Figure 2 As shown, an intelligent storage management system for sports facilities and equipment includes a data acquisition module, a central control module, a space optimization module, an in-and-out storage management module, an equipment maintenance module, and an automated equipment control module; wherein:

[0066] Data collection module: Through the deployed sensors and RFID tags, data including equipment type, quantity, storage location, usage frequency and status information are collected from sports facilities and equipment in real time, and these data are transmitted to the central control module;

[0067] Central control module: receives real-time data collected from the data acquisition module, conducts comprehensive analysis on the use of equipment and the utilization rate of storage space, generates corresponding storage management instructions, and transmits the instructions to the space optimization module, the in-and-out storage management module and the equipment maintenance module to achieve optimized control of storage management;

[0068] Space optimization module: According to the storage management instructions transmitted by the central control module, the storage space is dynamically adjusted to optimize the storage location and path of the equipment. At the same time, the adjusted storage location and path data are transmitted to the automation equipment control module to guide the operation of the automation equipment;

[0069] In and out management module: manage the in and out operations of equipment according to the storage management instructions of the central control module, ensure that the in and out operations are consistent with the dynamic adjustment of the storage space, and feed back the in and out operation data to the central control module to update the status information of the equipment in real time;

[0070] Equipment maintenance module: Based on the equipment status information collected by the data acquisition module, monitor the usage and maintenance needs of sports facilities and equipment, automatically generate maintenance plans and notify relevant maintenance personnel to ensure that the equipment is in good working condition;

[0071] Automation equipment control module: Receives equipment storage location, path data and maintenance instructions transmitted by the space optimization module, warehousing management module and equipment maintenance module, and controls related automation equipment to perform equipment storage and maintenance operations, including scheduling automated shelves, handling robots and conveyor belt equipment, to achieve efficient automatic storage and maintenance of equipment.

[0072] The data acquisition module includes a radio frequency identification unit (RFID unit), a sensor unit and a data processing unit; wherein:

[0073] Radio frequency identification unit: used to communicate with the RFID tags bound to sports equipment, obtain the type and unique identification information of the equipment in real time, ensure that the identity of each piece of equipment can be accurately identified, and transmit the unique identification information to the data processing unit;

[0074] Sensor unit: deployed in the storage area, used to detect and obtain the quantity, storage location, usage frequency and status information of equipment in real time. The sensor unit includes position sensor, weight sensor and environmental sensor. The position sensor is used to accurately locate the storage location of the equipment, the weight sensor is used to monitor the change in the quantity of equipment, and the environmental sensor is used to detect the impact of the storage environment on the status of the equipment.

[0075] Data processing unit: used to receive all data from the RFID unit and the sensor unit, and organize, filter and integrate the data to generate real-time data packets with time stamps, and transmit them to the central control module for further processing; the data acquisition module can accurately collect and process the type, quantity, storage location, frequency of use and status information of sports facilities and equipment in real time through the coordinated work of the RFID unit, the sensor unit and the data processing unit. This design not only improves the accuracy and real-time performance of data collection, but also provides reliable data support for subsequent warehouse management optimization.

[0076] The central control module includes a data receiving unit, an analysis and processing unit, and an instruction generating unit; wherein:

[0077] Data receiving unit: used to receive real-time data transmitted from the data acquisition module, including the type, quantity, storage location, frequency of use and status information of the equipment. The data receiving unit also includes a data verification function to ensure that the received data is complete and accurate;

[0078] Analysis and processing unit: used to obtain data from the data receiving unit and conduct a comprehensive analysis of the use of equipment and the utilization rate of storage space;

[0079] The analysis processing unit includes a usage frequency analysis subunit and a space utilization analysis subunit;

[0080] Frequency of use analysis subunit: used to predict future equipment usage needs based on historical data and real-time frequency of use data;

[0081] Space utilization analysis subunit: used to evaluate the current storage space utilization and identify potential space optimization opportunities based on the storage location of the equipment and the available space in the storage area;

[0082] Instruction generation unit: used to generate specific warehouse management instructions according to the comprehensive analysis results of the analysis and processing unit, including equipment reallocation, storage location adjustment and in-and-out warehouse priority setting; these instructions are transmitted to the space optimization module and the in-and-out warehouse management module through the system's internal data bus to perform corresponding operations; the central control module can accurately analyze the use of equipment and the utilization rate of storage space through the coordinated work of the data receiving unit, the analysis and processing unit and the instruction generation unit after receiving the real-time data transmitted by the data acquisition module, and generate corresponding warehouse management instructions based on the analysis results. This design not only ensures the accuracy of warehouse management, but also improves the system's ability to optimize the utilization of warehouse resources, significantly improving the overall management efficiency.

[0083] The frequency analysis subunits include:

[0084] Historical data acquisition and organization: Extract the historical usage data of the equipment from the data receiving unit. The historical data includes the frequency of use within a predetermined time period. , Use times and related timestamp information, and organize historical data to form a time series data set ;

[0085] Real-time data collection and integration: Extract real-time usage frequency data from the data receiving unit and the number of times used in the current time period , and combine real-time data with historical data to form an extended data set ; Trend analysis and seasonal adjustment: an extended dataset Perform time series analysis, use weighted moving average method to smooth historical and real-time data, and calculate weighted average usage frequency , the formula is:

[0086] ,in, The weighted average usage frequency represents the average usage frequency calculated based on historical data and real-time data, and is used to predict future usage demand. For the The usage frequency of each historical data point indicates the frequency of equipment use during the historical period; For the The usage frequency of a real-time data point indicates how often the equipment is used during the current time period; For the The weight coefficient of each historical data point indicates the importance of each historical data point in the weighted calculation. The weight is usually assigned based on time proximity, with newer data points having larger weights. For the The weight coefficient of each real-time data point; is the number of historical data points, expressed in the data set The total number of historical usage frequency data contained in; is the number of real-time data points, represented in the data set The total number of real-time usage frequency data contained in;

[0087] Regression model building and training: Using the frequency analysis subunit based on the extended dataset , a linear regression model is used to build a prediction model to predict the usage demand in the future predetermined time period. The expression of the prediction model is: ,in, Indicates at time Frequency of use of internal predictions, and are the coefficients of the regression model, is a constant term, is the time coefficient, The weighted average frequency coefficient is trained and optimized by the least squares method or gradient descent method;

[0088] Prediction result output: The future usage frequency calculated by the prediction model As the prediction result of future equipment usage demand, it is compared with the current actual data, the error value is calculated, and the model parameters are adjusted through the feedback mechanism to continuously optimize the prediction accuracy; the above-mentioned usage frequency analysis subunit can extract effective information from historical data and real-time data, and use trend analysis and regression models to accurately predict future equipment usage demand, providing reliable decision-making support for warehouse management and improving the intelligence level and management efficiency of the system.

[0089] The space utilization analysis subunits include:

[0090] Spatial data acquisition and organization: Obtain equipment storage location data from the data receiving unit and available space data for storage areas , storing location data Includes the current X, Y, and Z three-dimensional coordinates of each device to form a location data set ,in The number of equipment and available space data It represents the volume of unoccupied space within the storage area;

[0091] Storage space utilization calculation: Use the space utilization analysis subunit to calculate the current storage space utilization. The calculation formula is: ,in, is the current utilization rate of storage space, is the actual space volume occupied by the equipment. is the total available space volume of the storage area, ,in, For the The spatial volume of each device;

[0092] Spatial distribution density analysis: by calculating the distribution density of each equipment in the storage area , identify the area of ​​uneven storage, and the calculation formula for distribution density is: ,in, For the The equipment distribution density in each area is For the The number of devices in the area, For the The horizontal projection area of ​​the region;

[0093] Identification of space optimization opportunities: Identify low-utilization areas within the storage area based on calculations of storage space utilization and distribution density and high-density areas , where low utilization areas For spaces where utilization is below a set threshold, high-density areas For areas where the distribution density is higher than the set threshold; the above-mentioned space utilization analysis subunit can systematically evaluate the current storage space utilization from the storage location of the equipment and the available space data of the storage area, and identify potential space optimization opportunities. This analysis calculates the storage space utilization and space distribution density to accurately locate the low-utilization and high-density areas, thereby providing a scientific basis for the optimization of storage space.

[0094] The space optimization module includes an instruction receiving unit, a position adjustment unit and a path optimization unit; wherein:

[0095] Instruction receiving unit: used to receive and decode warehouse management instructions from the central control module. The instructions include equipment storage position adjustment instructions and path optimization instructions. The instruction receiving unit transmits the decoded instructions to the position adjustment unit and the path optimization unit for processing;

[0096] Position adjustment unit: According to the storage position adjustment command transmitted by the command receiving unit, the current storage position of the equipment is analyzed, specifically based on the low utilization area provided by the space utilization analysis subunit. and high-density areas Data, determine the optimal storage location of the equipment, and calculate the optimized storage coordinates of the equipment , re-plan the three-dimensional storage position of the equipment, the formula is: ,in, Indicates the adjusted storage position. Indicates the current storage location. is the position offset calculated based on the optimization;

[0097] Path optimization unit: Based on the path optimization instructions transmitted by the instruction receiving unit, the path optimization unit optimizes the access path of the equipment in the storage area. The path optimization unit combines the results of the position adjustment unit and the real-time spatial layout of the storage area to generate the optimal path. , specifically using the A* algorithm or Dijkstra algorithm for path calculation, the specific formula is: ,in, is the optimal path, For two adjacent positions and The distance between For the path The space cost of the segment, is the total number of path points;

[0098] The space optimization module can dynamically adjust the storage space and optimize the storage location and access path of equipment based on the storage management instructions transmitted by the central control module through the collaborative work of the instruction receiving unit, the position adjustment unit and the path optimization unit. This design not only ensures the efficient use of storage space, but also improves the efficiency of equipment storage and access operations, significantly enhancing the intelligence and automation level of the system.

[0099] The warehouse entry and exit management module includes an instruction execution unit, an operation monitoring unit and a data feedback unit; wherein:

[0100] Instruction execution unit: used to receive storage management instructions from the central control module, and control the equipment outbound and inbound operations according to the instructions. The instruction execution unit ensures that the equipment is operated according to the optimized storage position and path during the inbound and outbound process through linkage with the automation equipment control module, and ensures that the inbound and outbound operations are consistent with the dynamic adjustment of the storage space;

[0101] Operation monitoring unit: used to monitor the movement status of equipment in real time during the process of outbound and inbound storage to ensure that the operation is carried out according to the instructions. Specifically, the current position of the equipment is detected by position sensors and weight sensors. and quantity changes To confirm whether the storage and retrieval operations are completed successfully, the operation monitoring unit calculates the real-time offset To ensure that the equipment moves as planned, the calculation formula is: ,in, is the current moving coordinate of the equipment, is the adjusted storage coordinate, The offset between the current position of the equipment and the target position;

[0102] Data feedback unit: used to send actual operation data, including the final storage location of the equipment, after the storage and retrieval operations are completed. , equipment status information and quantity change data , and feedback is sent to the central control module. By comparing the equipment status data before and after the operation, the equipment status information in the central control module is updated to ensure that the system can grasp the latest status of the equipment in real time; the above-mentioned in-and-out management module can accurately manage the in-and-out operations of the equipment according to the warehouse management instructions of the central control module. Through the coordinated work of the instruction execution unit, the operation monitoring unit and the data feedback unit, the in-and-out operations are kept consistent with the dynamic adjustment of the storage space, ensuring that the status information of the equipment is updated in real time in the system.

[0103] The data feedback unit includes:

[0104] Pre-operation data recording: Before the storage and retrieval operation begins, the initial status data of the equipment is obtained from the operation monitoring unit, including the initial storage location. 、Number of equipment and state parameters The initial dataset ,in ;

[0105] Post-operation data acquisition: After the storage and warehousing operations are completed, the final status data of the equipment is obtained from the operation monitoring unit, including the final storage location. 、Number of equipment and state parameters The final dataset ,in ;

[0106] State data comparison and difference calculation: Comparison of initial data sets With the final dataset , calculate the change in storage location , quantity change and state change , the formula is: ; ; ,in, is the change in equipment position, is the change in the number of equipment, is the change in equipment status parameters;

[0107] Status information update: The calculated change , and Applied to the equipment status information in the central control module to update the real-time status of the equipment. The updated status information data set for: , the data set reflects the latest storage location, quantity and status of the equipment in real time, and transmits it to the database of the central control module to ensure that each module within the system can access the latest equipment status information;

[0108] The above-mentioned data feedback unit can systematically compare the equipment status data before and after the operation, and accurately update the equipment status information in the central control module according to the calculation results. By calculating and updating the changes in storage location, quantity and status, it ensures that each module in the system shares the latest equipment status information in real time, thereby improving the accuracy and efficiency of warehouse management.

[0109] The equipment maintenance module includes a status monitoring unit, a demand analysis unit and a maintenance plan generation unit; wherein:

[0110] Status monitoring unit: used to obtain and continuously monitor the status information of the equipment from the data acquisition module, including the physical status parameters of the equipment Frequency of use and duration of use , and conduct real-time analysis of parameters to detect the operating status and wear degree of the equipment, and transmit the analysis results to the demand analysis unit;

[0111] Demand analysis unit: Based on the analysis results transmitted by the status monitoring unit, the maintenance needs of the equipment are evaluated. The demand analysis unit determines whether the equipment needs maintenance through the preset maintenance threshold and calculates the maintenance priority of the equipment. , the calculation formula for maintenance priority is: ,in, and is the weight coefficient, is the physical state threshold, is the usage frequency threshold, is the usage time threshold; according to the calculation result, a list of equipment that needs maintenance is determined and transmitted to the maintenance plan generation unit;

[0112] Maintenance plan generation unit: used to analyze the equipment maintenance priorities provided by the demand analysis unit and the current storage resource situation, and automatically generates a maintenance plan. The maintenance plan includes specific maintenance operations, time arrangements and required material lists. The maintenance plan generation unit also includes notifying the relevant maintenance personnel of the maintenance plan, and synchronously updating the maintenance plan to the system database through the central control module to ensure that maintenance work is carried out as planned; the above-mentioned equipment maintenance module can monitor the use and maintenance needs of the equipment in real time based on the equipment status information provided by the data acquisition module, and automatically generate a maintenance plan. Through the collaborative work of the status monitoring unit, the demand analysis unit and the maintenance plan generation unit, the system can intelligently identify maintenance needs, generate reasonable maintenance plans and notify relevant personnel to ensure that the equipment is always in good operating condition.

[0113] The automation equipment control module includes an instruction parsing unit, an equipment scheduling unit and an operation execution unit; wherein:

[0114] Instruction parsing unit: receives equipment storage location data from the space optimization module, path data from the in-and-out storage management module, and maintenance instructions from the equipment maintenance module, and parses the data and instructions, and sends the parsed storage location data to the storage location. , path information and maintenance operation instructions Transmit to the equipment scheduling unit and the operation execution unit;

[0115] Equipment dispatching unit: dispatches the automated equipment in the storage area according to the storage location and path information transmitted by the instruction parsing unit. The automated equipment includes automated shelves, handling robots and conveyor belts. The equipment dispatching unit will give priority to dispatching equipment with the optimal path. equipment to ensure efficient access and maintenance of equipment. The optimization formula for equipment scheduling is: ,in, is the optimal scheduling decision, For the The operating time of each device, The energy consumption required for operation, The number of dispatching devices;

[0116] Operation execution unit: used to control the automation equipment to the specified storage location based on the scheduling results of the equipment scheduling unit , path information and maintenance instructions Perform specific access and maintenance operations, and monitor the execution status of the equipment in real time to ensure the accuracy and safety of the operations. After completion, the operation results will be fed back to the central control module for recording and updating.

[0117] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0118] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An intelligent storage management system for sports facilities and equipment, characterized in that: It includes data acquisition module, central control module, space optimization module, warehouse management module, equipment maintenance module and automated equipment control module; among which: Data collection module: Through the deployed sensors and RFID tags, data including equipment type, quantity, storage location, usage frequency and status information are collected from sports facilities and equipment in real time; Central control module: receives real-time data collected from the data acquisition module, conducts comprehensive analysis on the use of equipment and the utilization rate of storage space, and generates corresponding storage management instructions; The central control module includes a data receiving unit, an analysis and processing unit and an instruction generating unit; wherein: Data receiving unit: used to receive real-time data transmitted from the data acquisition module, including the type, quantity, storage location, frequency of use and status information of the equipment. The data receiving unit also includes a data verification function to ensure the integrity of the received data; Analysis and processing unit: used to obtain data from the data receiving unit and conduct a comprehensive analysis of the use of equipment and the utilization rate of storage space; The analysis processing unit includes a usage frequency analysis subunit and a space utilization analysis subunit; Frequency of use analysis subunit: used to predict future equipment usage needs based on historical data and real-time frequency of use data; Space utilization analysis subunit: used to evaluate the current storage space utilization and identify potential space optimization opportunities based on the storage location of the equipment and the available space in the storage area; Instruction generation unit: used to generate specific warehouse management instructions according to the comprehensive analysis results of the analysis and processing unit, including equipment reallocation, storage location adjustment and in-and-out priority setting; The usage frequency analysis subunit specifically includes: Historical data acquisition and organization: Extract the historical usage data of the equipment from the data receiving unit. The historical data includes the frequency of use within a predetermined time period. , Use times and related timestamp information, and organize historical data to form a time series data set ; Real-time data collection and integration: Extract real-time usage frequency data from the data receiving unit and the number of times used in the current time period , and combine real-time data with historical data to form an extended data set ; Trend analysis and seasonal adjustment: an extended dataset Perform time series analysis, use weighted moving average method to smooth historical and real-time data, and calculate weighted average usage frequency , the formula is: ,in, is the weighted average frequency of use; For the The frequency of use of historical data points; For the Frequency of use of real-time data points; For the The weight coefficient of each historical data point; For the The weight coefficient of each real-time data point; is the number of historical data points; is the number of real-time data points; Regression model building and training: Using the frequency analysis subunit based on the extended dataset , a linear regression model is used to build a prediction model to predict the usage demand in the future predetermined time period. The expression of the prediction model is: ,in, Indicates at time Frequency of use of internal predictions, and are the coefficients of the regression model, is a constant term, is the time coefficient, is the weighted average frequency coefficient; Prediction result output: The future usage frequency calculated by the prediction model As a forecast of future equipment usage demand; The space utilization analysis subunit comprises: Spatial data acquisition and organization: Obtain equipment storage location data from the data receiving unit and available space data for storage areas , storing location data Includes the current X, Y, and Z coordinates of each device and available space data It represents the volume of unoccupied space within the storage area; Storage space utilization calculation: Use the space utilization analysis subunit to calculate the current storage space utilization. The calculation formula is: ,in, is the current utilization rate of storage space, is the actual space volume occupied by the equipment. is the total available space volume of the storage area, ,in, For the The spatial volume of each device; Spatial distribution density analysis: by calculating the distribution density of each equipment in the storage area , identify the area of ​​uneven storage, and the calculation formula for distribution density is: ,in, For the The equipment distribution density in each area is For the The number of devices in an area, For the The horizontal projection area of ​​the region; Identification of space optimization opportunities: Identify low-utilization areas within the storage area based on calculations of storage space utilization and distribution density and high-density areas , where low utilization areas For spaces where utilization is below a set threshold, high-density areas It is the area where the distribution density is higher than the set threshold; Space optimization module: According to the storage management instructions transmitted by the central control module, the storage space is dynamically adjusted to optimize the storage location and path of the equipment. At the same time, the adjusted storage location and path data are transmitted to the automation equipment control module to guide the operation of the automation equipment; In and out management module: manage the in and out operations of equipment according to the storage management instructions of the central control module, ensure that the in and out operations are consistent with the dynamic adjustment of the storage space, and feed back the in and out operation data to the central control module to update the status information of the equipment in real time; The in-and-out warehouse management module includes an instruction execution unit, an operation monitoring unit and a data feedback unit; wherein: Instruction execution unit: used to receive warehouse management instructions from the central control module and control the outbound and inbound operations of materials according to the instructions; Operation monitoring unit: used to monitor the movement status of equipment in real time during the process of outbound and inbound storage to ensure that the operation is carried out according to the instructions. Specifically, the current position of the equipment is detected by position sensors and weight sensors. and quantity changes , to confirm whether the storage and warehousing operations are completed smoothly; Data feedback unit: used to send actual operation data, including the final storage location of the equipment, after the storage and retrieval operations are completed. , equipment status information and quantity change data , and feed back to the central control module, and update the equipment status information in the central control module by comparing the equipment status data before and after the operation; Equipment maintenance module: Based on the equipment status information collected by the data acquisition module, it monitors the usage and maintenance needs of sports facilities and equipment, automatically generates maintenance plans and notifies relevant maintenance personnel; Automation equipment control module: receives the storage location and path data from the space optimization module, and receives the maintenance operation instructions transmitted by the equipment maintenance module, so as to control the access and maintenance operations of the relevant automation equipment.

2. The intelligent storage management system for sports facilities and equipment according to claim 1 is characterized in that: The data acquisition module includes a radio frequency identification unit, a sensor unit and a data processing unit; wherein: Radio frequency identification unit: used to communicate with the RFID tags bound to the sports facilities and equipment, obtain the type and unique identification information of the equipment in real time, and transmit the unique identification information to the data processing unit; Sensor unit: deployed in the storage area, used to detect and obtain the quantity, storage location, usage frequency and status information of equipment in real time. The sensor unit includes a position sensor, a weight sensor and an environmental sensor; Data processing unit: used to receive all data from the RFID unit and the sensor unit, and organize, filter and integrate the data to generate real-time data packets with time stamps.

3. The intelligent storage management system for sports facilities and equipment according to claim 1 is characterized in that: The space optimization module includes an instruction receiving unit, a position adjustment unit and a path optimization unit; wherein: Instruction receiving unit: used to receive and decode warehouse management instructions from the central control module, including equipment storage position adjustment instructions and path optimization instructions; Position adjustment unit: According to the storage position adjustment command transmitted by the command receiving unit, the current storage position of the equipment is analyzed, specifically based on the low utilization area provided by the space utilization analysis subunit. and high-density areas Data, determine the optimal storage location of the equipment, and calculate the optimized storage coordinates of the equipment , re-plan the three-dimensional storage position of the equipment, the formula is: ,in, Indicates the adjusted storage position. Indicates the current storage location. is the position offset calculated based on the optimization; Path optimization unit: Based on the path optimization instructions transmitted by the instruction receiving unit, the path optimization unit optimizes the access path of the equipment in the storage area. The path optimization unit combines the results of the position adjustment unit and the real-time spatial layout of the storage area to generate the optimal path. , specifically, the A* algorithm or the Dijkstra algorithm is used for path calculation.

4. The intelligent storage management system for sports facilities and equipment according to claim 1 is characterized in that: The data feedback unit comprises: Pre-operation data recording: Before the storage and retrieval operation begins, the initial status data of the equipment is obtained from the operation monitoring unit, including the initial storage location. 、Number of equipment and state parameters The initial dataset ; Post-operation data acquisition: After the storage and warehousing operations are completed, the final status data of the equipment is obtained from the operation monitoring unit, including the final storage location. 、Number of equipment and state parameters The final dataset ; State data comparison and difference calculation: Comparison of initial data sets With the final dataset , calculate the change in storage location , quantity change and state change , the formula is: ; ; ,in, is the change in equipment position, is the change in the number of equipment, is the change in equipment status parameters; Status information update: The calculated change , and Applied to the equipment status information in the central control module to update the real-time status of the equipment.

5. The intelligent storage management system for sports facilities and equipment according to claim 1 is characterized in that: The equipment maintenance module includes a status monitoring unit, a demand analysis unit and a maintenance plan generation unit; wherein: Status monitoring unit: used to obtain and continuously monitor the status information of the equipment from the data acquisition module, including the physical status parameters of the equipment Frequency of use and duration of use , and conduct real-time analysis of parameters to detect the operating status and wear degree of the equipment, and transmit the analysis results to the demand analysis unit; Demand analysis unit: Based on the analysis results transmitted by the status monitoring unit, the maintenance needs of the equipment are evaluated. The demand analysis unit determines whether the equipment needs maintenance through the preset maintenance threshold and calculates the maintenance priority of the equipment. ; According to the calculation results, determine the list of equipment that needs maintenance and transmit it to the maintenance plan generation unit; Maintenance plan generation unit: used to analyze the equipment maintenance priorities provided by the demand analysis unit and the current storage resource situation, automatically generates a maintenance plan, the maintenance plan includes specific maintenance operations, time schedule and required material list, and the maintenance plan generation unit also includes notifying relevant maintenance personnel of the maintenance plan.

6. The intelligent storage management system for sports facilities and equipment according to claim 1 is characterized in that: The automation equipment control module includes an instruction parsing unit, an equipment scheduling unit and an operation execution unit; wherein: Instruction parsing unit: receives the storage location and path data from the space optimization module, and receives the maintenance operation instructions transmitted by the equipment maintenance module, and parses the data and instructions, and sends the parsed storage location to the storage location. , path information and maintenance operation instructions Transmit to the equipment scheduling unit and the operation execution unit; Equipment dispatching unit: dispatches the automated equipment in the storage area according to the storage location and path information transmitted by the instruction parsing unit. The automated equipment includes automated shelves, handling robots and conveyor belts. The equipment dispatching unit will give priority to dispatching equipment with the optimal path. equipment; Operation execution unit: used to control the automation equipment to the specified storage location based on the scheduling results of the equipment scheduling unit , path information and maintenance instructions Perform specific access and maintenance operations.

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