Automatic sports equipment management system and method

Abstract

The invention discloses an automatic sports equipment management system and method, relates to the technical field of equipment management, and effectively solves the problem of insufficient monitoring precision of sports equipment by setting a frequency statistical unit and a threshold sorting unit. The system accurately divides use levels according to the actual use condition of the equipment, and monitors stress, abrasion and environmental data in real time; the data analysis capability is improved through a life prediction analysis module, and stress, abrasion and environmental data are analyzed by using a machine learning algorithm; and the automatic management module realizes real-time data processing through a maintenance instruction processing unit and a report generation unit, performs comparison evaluation through an equipment replacement index Qcgh and a replacement threshold P, and generates a maintenance suggestion report and a replacement plan report according to the evaluation content of the equipment replacement index Qcgh, thereby solving the problem of data updating lag.

Description

Technical Field

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

[0002] The sports equipment management system originated from the need for standardized management of sports facilities and equipment. With the development of information technology, it has gradually changed from manual records to digital management. Early systems were mostly simple inventory records, while modern systems cover the entire life cycle management of equipment, including procurement, use, maintenance and scrapping.

[0003] Sports equipment management systems are widely used, including gyms. In gyms’ sports equipment management systems, the following technical shortcomings often exist: 1. Insufficient monitoring accuracy of sports equipment: Some systems do not monitor the use of equipment accurately enough and are unable to capture the wear and tear of equipment in a timely manner, resulting in maintenance delays.

[0004] 2. Limited data analysis capabilities: The system does not conduct in-depth analysis of data such as the frequency of use and life of the equipment, making it difficult to predict the failure time of sports equipment, affecting the rationality of the maintenance plan.

[0005] 3. Delayed real-time updates: Due to the lack of efficient system integration with IoT sports equipment, real-time updates of equipment status may be delayed, resulting in the failure of sports equipment to be repaired in a timely manner. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides an automated sports equipment management system and method, which solves the technical problems of insufficient sports equipment monitoring accuracy, limited data analysis capabilities and delayed real-time updates in the background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an automated sports equipment management system, including an equipment classification module, a data monitoring module, a data processing module, a service life prediction and analysis module and an automated management module; The equipment classification module is used to classify and manage sports equipment in advance, count the usage frequency of each sports equipment within a fixed period, and set usage frequency thresholds, including a first frequency threshold Q, a second frequency threshold W, and a third frequency threshold E; The data monitoring module is used to classify sports equipment according to the frequency of use threshold, and monitor the stress and wear of each level of sports equipment in real time, while monitoring the impact of environmental factors on sports equipment and recording them; The data processing module is used to pre-process the data related to the stress and wear of the sports equipment, as well as the data related to the impact of environmental factors on the equipment, and respectively construct a stress data set, a wear data set and an environmental impact data set; The service life prediction and analysis module analyzes the service life of sports equipment in hierarchical order based on the force data set, the wear data set and the environmental impact data set using a machine learning algorithm; through step-by-step calculation, the service life estimation value Syz of the equipment is finally obtained and evaluated, and finally a maintenance instruction is issued according to the evaluation content of the service life estimation value Syz; The automated management module is used to receive maintenance instructions, extract historical maintenance-related data and associate them with the life estimate Syz, obtain and evaluate the equipment replacement index Qcgh, and finally automatically generate a maintenance recommendation report or a replacement plan report based on the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh.

[0008] Preferably, the equipment classification module includes a frequency statistics unit and a threshold sorting unit; The frequency statistics unit is used to perform real-time statistics on the usage of each sports equipment within a fixed period, and calculate the average usage frequency Favg within the fixed period according to the usage of each sports equipment, and then calculate the first frequency threshold Q, the second frequency threshold W and the third frequency threshold E according to the formula. The specific calculation formula is as follows: Wherein, n represents the frequency threshold, and K represents the adjustment coefficient, which is used to adjust the frequency threshold.

[0009] Preferably, the threshold sorting unit performs sorting according to the first frequency threshold Q, the second frequency threshold W and the third frequency threshold E provided by the frequency statistics unit, specifically, the first frequency threshold Q>the second frequency threshold W>the third frequency threshold E.

[0010] Preferably, the data monitoring module includes a level division unit and a data monitoring unit; The level division unit is used to divide the sports equipment into different levels according to the usage frequency threshold, and classify the sports equipment into high-frequency usage level, medium-frequency usage level and low-frequency usage level according to the preset usage frequency threshold, and manage and monitor the sports equipment, and then monitor the sports equipment in the order of high-frequency usage level, medium-frequency usage level and low-frequency usage level and record relevant data; The data monitoring unit includes a force monitoring subunit, a wear monitoring subunit and an environment monitoring subunit; The force monitoring subunit is used to monitor and record the specific force conditions of each level of equipment during use in real time, and obtain relevant data on the force conditions; the relevant data on the force conditions include the maximum force Fmax, the dynamic force change rate Fdyn and the impact load ratio Csl; The wear monitoring subunit is used to monitor the wear condition of the surface of the sports equipment and record the wear condition related data in real time; the wear condition related data include the wear velocity Vw, the surface hardness change rate Hrate and the fatigue crack growth rate Fcr; The environmental monitoring subunit is used to monitor the impact of the environment on the use of sports equipment and record the environmental impact related data in real time; the environmental impact related data include air dust content Cd, local humidity difference Hd and micro-vibration amplitude Mv.

[0011] Preferably, the data processing module is used to preprocess the stress condition-related data, wear condition-related data and environmental impact-related data of the sports equipment collected from the data monitoring unit, including removing outliers, smoothing noise data, and dimensionless processing of the stress condition-related data, wear condition-related data and environmental impact-related data, and constructing a force data set, a wear data set and an environmental impact data set based on the preprocessed stress condition-related data, wear condition-related data and environmental impact-related data, respectively.

[0012] Preferably, the service life prediction and analysis module includes a data analysis unit and an equipment life assessment unit; The data analysis unit analyzes each data set based on the force data set, the wear data set and the environmental impact data set using a machine learning algorithm, and processes the data in the order of the high-frequency use level, the medium-frequency use level and the low-frequency use level of the equipment, and calculates and obtains the force index Zsl, the wear index Zms and the environmental impact index Zhj. The specific calculation formula is as follows: Wherein, t1, t2 and t3 represent the weight values ​​of air dust content Cd, local humidity difference Hd and micro-vibration amplitude Mv respectively, and the specific values ​​are adjusted by the user; r is the adjustment coefficient, which is used to adjust the calculation result of the overall calculation formula of the environmental impact index Zhj and control the range of the output environmental impact index Zhj; In the formula of the stress index Zsl, Fmax represents the maximum stress in the stress condition related data, Fdyn represents the dynamic stress change rate in the stress condition related data, and Csl represents the impact load ratio in the stress condition related data; In the formula of the wear index Zms, Vw represents the wear velocity in the wear condition related data, Hrate represents the surface hardness change rate in the wear condition related data, and Fcr represents the fatigue crack growth rate in the wear condition related data; In the formula of the environmental impact index Zhj, Cd represents the dust content in the air in the environmental impact related data, Hd represents the local humidity difference in the environmental impact related data, and Mv represents the micro-vibration amplitude in the environmental impact related data.

[0013] Preferably, the equipment life assessment unit obtains the life estimation value Syz by extracting the stress index Zsl, the wear index Zms and the environmental impact index Zhj and correlating them. The specific calculation formula is as follows: Where y is the adjustment parameter, which is used to adjust the comprehensive effect of the stress index Zsl, wear index Zms and environmental impact index Zhj on the life estimation Syz; The preset life threshold U is compared with the life estimate Syz for evaluation. The specific evaluation contents are as follows: When the life estimate Syz>life threshold U, it indicates that the current state of the sports equipment is normal, indicating that maintenance is not required and the state of the sports equipment should be re-evaluated regularly; The life estimation value Syz ≤ the life threshold value U indicates that the current state of the sports equipment is abnormal, indicating that the current sports equipment has a risk of failure and needs maintenance or replacement, and a maintenance instruction is automatically issued.

[0014] Preferably, the automated management module includes a maintenance instruction processing unit and a report generating unit; The maintenance instruction processing unit is used to extract historical maintenance related data, including the historical maintenance times Lwcs, and calculate the equipment replacement index Qcgh by the following formula: Where, Owb represents the weight value of the historical maintenance times Lwcs, and 0≤Owb<1; The preset replacement threshold P is compared with the equipment replacement index Qcgh for evaluation. The specific evaluation contents are as follows: When the equipment replacement index Qcgh ≤ the replacement threshold P, it indicates that the sports equipment is worn or aged but has not reached the replacement standard. In this case, a maintenance recommendation report is generated and the equipment should continue to be used and regularly inspected. When the equipment replacement index Qcgh>replacement threshold P, it indicates that the sports equipment is worn or aged and has reached the replacement standard and needs to be replaced. At this time, a replacement plan report is generated and the equipment is stopped from use.

[0015] Preferably, the report generating unit is used to automatically generate a maintenance recommendation report and a replacement plan report according to the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh. The specific report contents are as follows: The specific contents of the maintenance recommendation report are: High-frequency use level: Regular maintenance of sports equipment, including lubrication, cleaning and inspection of key components, including motors and transmission systems, and one additional inspection on top of the original monthly inspection frequency; Medium frequency use level: perform routine maintenance on sports equipment, focus on checking worn parts and stress points, and regularly adjust the force balance of sports equipment. At the same time, add one inspection to the original quarterly inspection frequency, and conduct additional inspections when the use of sports equipment exceeds the original use by 20%; Low-frequency use level: Regularly inspect sports equipment, including surface wear and loose bolts, and perform maintenance, including cleaning and simple adjustments. At the same time, add one inspection every six months on top of the original inspection frequency; The specific contents of the replacement plan report are as follows: High-frequency use level: suspend the use of sports equipment and purchase high-strength replacement sports equipment of the same type, giving priority to models with high durability and low maintenance costs; replacement must be completed within one week; Medium frequency use level: Include the replacement of sports equipment in the plan for the next maintenance cycle, prepare new replacement sports equipment in advance, and make arrangements for the selection, purchase and installation of sports equipment; the replacement time limit is to be completed within one month; Low-frequency use level: All equipment will be replaced during the next major overhaul. Due to the low frequency of use of sports equipment, the replacement time will be postponed within the prescribed usage cycle; the replacement time limit is three months.

[0016] An automated sports equipment management method comprises the following steps: Step 1: Classify and manage sports equipment in advance, count the usage frequency of each sports equipment within a fixed period, and set usage frequency thresholds, including a first frequency threshold Q, a second frequency threshold W, and a third frequency threshold E; Step 2: Classify the sports equipment into different levels according to the frequency of use threshold, and monitor the stress and wear of each level of sports equipment in real time, while monitoring and recording the impact of environmental factors on the sports equipment; Step 3: pre-process the data related to the stress and wear of the sports equipment, as well as the data related to the impact of environmental factors on the equipment, and construct a stress data set, a wear data set and an environmental impact data set respectively; Step 4: Based on the force data set, the wear data set and the environmental impact data set, the service life of the sports equipment is analyzed in hierarchical order using a machine learning algorithm; through step-by-step calculations, the life estimation value Syz of the equipment is finally obtained and evaluated, and finally a maintenance instruction is issued according to the evaluation content of the life estimation value Syz; Step 5: Receive maintenance instructions, extract historical maintenance-related data and associate them with the life estimate Syz, obtain and evaluate the equipment replacement index Qcgh, and finally automatically generate a maintenance recommendation report or a replacement plan report based on the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh.

[0017] The present invention provides an automated sports equipment management system and method. It has the following beneficial effects: (1) An automated sports equipment management system and method, by setting a frequency statistics unit and a threshold sorting unit, the system can accurately classify the use level of sports equipment according to the actual use of the sports equipment, and record detailed data sets by real-time monitoring of stress conditions, wear conditions and environmental impacts; at the same time, the use of a stress monitoring subunit, a wear monitoring subunit and an environmental monitoring subunit ensures the monitoring of the equipment in different environments, solving the problem of insufficient monitoring accuracy in traditional sports equipment management; comprehensively collects and constructs stress data sets, wear data sets and environmental impact data sets, making sports equipment status assessment more accurate.

[0018] (2) This automated sports equipment management system and method is effectively improved through a service life prediction and analysis module; a machine learning algorithm is used to perform a systematic analysis based on a force data set, a wear data set, and an environmental impact data set; data is processed separately according to the equipment usage level, and a force index Zsl, a wear index Zms, and an environmental impact index Zhj are calculated and correlated to obtain a life estimate Syz and perform an accurate assessment; the system can adaptively adjust the impact of various factors on life estimation, thereby improving the analysis capability of sports equipment data and optimizing the maintenance and replacement strategies of sports equipment.

[0019] (3) An automated sports equipment management system and method, wherein the automated management module realizes real-time data processing and automatic generation of maintenance recommendations or replacement plans by introducing a maintenance instruction processing unit and a report generation unit; the system can obtain and evaluate the equipment replacement index Qcgh based on the life valuation Syz, and the system automatically generates a maintenance recommendation report and a replacement plan report, recommends replacement or maintenance of sports equipment, and reasonably sets a replacement time limit based on the level of sports equipment, thereby solving the problem of delayed maintenance caused by delayed data updates in traditional systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1A schematic diagram of the framework structure of an automated sports equipment management system of the present invention; Figure 2 The figure is a schematic flow chart of the steps of an automated sports equipment management method of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Example 1 See also Figure 1 , the present invention provides an automated sports equipment management system, including an equipment classification module, a data monitoring module, a data processing module, a service life prediction and analysis module and an automated management module; The equipment classification module is used to classify and manage sports equipment in advance, count the usage frequency of each sports equipment within a fixed period, and set usage frequency thresholds, including a first frequency threshold Q, a second frequency threshold W, and a third frequency threshold E; The data monitoring module is used to classify sports equipment according to the frequency of use threshold, and monitor the stress and wear of each level of sports equipment in real time, while monitoring the impact of environmental factors on sports equipment and recording them; The data processing module is used to pre-process the data related to the stress and wear of the sports equipment, as well as the data related to the impact of environmental factors on the equipment, and respectively construct a stress data set, a wear data set and an environmental impact data set; The service life prediction and analysis module analyzes the service life of sports equipment in hierarchical order based on the force data set, the wear data set and the environmental impact data set using a machine learning algorithm; through step-by-step calculation, the service life estimation value Syz of the equipment is finally obtained and evaluated, and finally a maintenance instruction is issued according to the evaluation content of the service life estimation value Syz; The automated management module is used to receive maintenance instructions, extract historical maintenance-related data and associate them with the life estimate Syz, obtain and evaluate the equipment replacement index Qcgh, and finally automatically generate a maintenance recommendation report or a replacement plan report based on the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh.

[0023] In this embodiment, intelligent management of the entire life cycle of sports equipment is achieved through the synergy of the equipment classification module, the data monitoring module, the data processing module, the service life prediction and analysis module and the automation management module; the equipment classification module can classify and manage the equipment and classify the equipment according to the usage frequency thresholds, including the first frequency threshold Q, the second frequency threshold W and the third frequency threshold E; the data monitoring module monitors the stress and wear conditions of each level of sports equipment in real time, and collects stress data sets, wear data sets and environmental impact data sets; the data processing module pre-processes these data to ensure the accuracy and consistency of the data; the service life prediction and analysis module uses a machine learning algorithm to gradually calculate the life valuation Syz of the sports equipment, and issues maintenance instructions based on the valuation; the automation management module extracts historical maintenance data, calculates the equipment replacement index Qcgh and evaluates it, and finally automatically generates a maintenance recommendation report or a replacement plan report to ensure efficient management and use of sports equipment; through this system, the management of sports equipment becomes more precise, reducing the problems of insufficient monitoring accuracy of sports equipment, limited data analysis capabilities and delayed real-time updates, and greatly improving the efficiency and safety of equipment use.

[0024] Example 2 The equipment classification module includes a frequency statistics unit and a threshold sorting unit; The frequency statistics unit is used to perform real-time statistics on the usage of each sports equipment within a fixed period, and calculate the average usage frequency Favg within the fixed period according to the usage of each sports equipment, and then calculate the first frequency threshold Q, the second frequency threshold W and the third frequency threshold E according to the formula. The specific calculation formula is as follows: Wherein, n represents the frequency threshold, and K represents the adjustment coefficient, which is used to adjust the frequency threshold.

[0025] The threshold sorting unit performs sorting according to the first frequency threshold Q, the second frequency threshold W and the third frequency threshold E provided by the frequency statistics unit, specifically, the first frequency threshold Q>the second frequency threshold W>the third frequency threshold E.

[0026] The data monitoring module includes a level division unit and a data monitoring unit; The level division unit is used to divide the sports equipment into different levels according to the frequency of use, and classify the sports equipment into high-frequency use level, medium-frequency use level and low-frequency use level according to the preset frequency of use threshold, and manage and monitor the sports equipment, and then monitor the sports equipment in the order of high-frequency use level, medium-frequency use level and low-frequency use level and record relevant data; The data monitoring unit includes a force monitoring subunit, a wear monitoring subunit and an environment monitoring subunit; The force monitoring subunit is used to monitor and record the specific force conditions of each level of equipment during use in real time, and obtain relevant data on the force conditions; the relevant data on the force conditions include the maximum force Fmax, the dynamic force change rate Fdyn and the impact load ratio Csl; The wear monitoring subunit is used to monitor the wear condition of the surface of the sports equipment and record the wear condition related data in real time; the wear condition related data include the wear velocity Vw, the surface hardness change rate Hrate and the fatigue crack growth rate Fcr; The environmental monitoring subunit is used to monitor the impact of the environment on the use of sports equipment and record the environmental impact related data in real time; the environmental impact related data include air dust content Cd, local humidity difference Hd and micro-vibration amplitude Mv.

[0027] The data processing module is used to preprocess the force condition-related data, wear condition-related data and environmental impact-related data of the sports equipment collected from the data monitoring unit, including removing outliers, smoothing noise data and dimensionless processing of the force condition-related data, wear condition-related data and environmental impact-related data, and constructing a force data set, a wear data set and an environmental impact data set based on the preprocessed force condition-related data, wear condition-related data and environmental impact-related data, respectively.

[0028] In this embodiment, accurate management and monitoring of sports equipment are achieved through the close combination of the equipment classification module, the data monitoring module and the data processing module; the frequency statistics unit in the equipment classification module can calculate the first frequency threshold Q, the second frequency threshold W and the third frequency threshold E through the formula, and divide the equipment into high-frequency, medium-frequency and low-frequency usage levels through the threshold sorting unit, so that the system can carry out targeted management of equipment of different frequency levels; the force monitoring subunit in the data monitoring module can collect the maximum force Fmax, the dynamic force change rate Fdyn and the impact load ratio Csl. These parameters are used to evaluate the force condition of the equipment during use, to ensure that the equipment will not be damaged due to overload or stress concentration under long-term use. The wear monitoring subunit records the wear velocity Vw, surface hardness change rate Hrate and fatigue crack growth rate Fcr in real time to effectively evaluate the wear degree of the equipment and help determine the service life of the sports equipment. The environmental monitoring subunit monitors the dust content Cd in the air, the local humidity difference Hd and the micro-vibration amplitude Mv to ensure that the external environment does not have too much negative impact on the operation of the equipment. The data processing module removes outliers, smoothes noise data and performs dimensionless processing to ensure that the collected data has high accuracy and consistency, which is convenient for subsequent analysis and prediction. Through the collection and processing of these data, the system can grasp the use status of the equipment in real time, provide accurate maintenance suggestions, extend the life of the equipment and avoid failures.

[0029] Example 3 The service life prediction and analysis module includes a data analysis unit and an equipment life assessment unit; The data analysis unit analyzes each data set based on the force data set, the wear data set and the environmental impact data set using a machine learning algorithm, and processes the data in the order of the high-frequency use level, the medium-frequency use level and the low-frequency use level of the equipment, and calculates and obtains the force index Zsl, the wear index Zms and the environmental impact index Zhj. The specific calculation formula is as follows: Wherein, t1, t2 and t3 represent the weight values ​​of air dust content Cd, local humidity difference Hd and micro-vibration amplitude Mv respectively, and the specific values ​​are adjusted by the user; r is the adjustment coefficient, which is used to adjust the calculation result of the overall calculation formula of the environmental impact index Zhj and control the range of the output environmental impact index Zhj; In the formula of the stress index Zsl, Fmax represents the maximum stress in the stress condition related data, Fdyn represents the dynamic stress change rate in the stress condition related data, and Csl represents the impact load ratio in the stress condition related data; In the formula of the wear index Zms, Vw represents the wear velocity in the wear condition related data, Hrate represents the surface hardness change rate in the wear condition related data, and Fcr represents the fatigue crack growth rate in the wear condition related data; In the formula of the environmental impact index Zhj, Cd represents the dust content in the air in the environmental impact related data, Hd represents the local humidity difference in the environmental impact related data, and Mv represents the micro-vibration amplitude in the environmental impact related data.

[0030] The equipment life evaluation unit obtains the life estimation value Syz by extracting the stress index Zsl, the wear index Zms and the environmental impact index Zhj and correlating them. The specific calculation formula is as follows: Where y is the adjustment parameter, which is used to adjust the comprehensive effect of the stress index Zsl, wear index Zms and environmental impact index Zhj on the life estimation Syz; The preset life threshold U is compared with the life estimate Syz for evaluation. The specific evaluation contents are as follows: When the life estimate Syz>life threshold U, it indicates that the current state of the sports equipment is normal, indicating that maintenance is not required and the state of the sports equipment should be re-evaluated regularly; The life estimation value Syz ≤ the life threshold value U indicates that the current state of the sports equipment is abnormal, indicating that the current sports equipment has a risk of failure and needs maintenance or replacement, and a maintenance instruction is automatically issued.

[0031] In this embodiment, accurate prediction of the life of sports equipment is achieved through the close integration of the data analysis unit and the equipment life assessment unit; the data analysis unit uses a machine learning algorithm to analyze based on the force data set, the wear data set and the environmental impact data set, and calculates the force index Zsl, the wear index Zms and the environmental impact index Zhj in the order of high-frequency usage level, medium-frequency usage level and low-frequency usage level; on this basis, the life estimation unit associates the force index Zsl, the wear index Zms and the environmental impact index Zhj through a formula, and finally obtains the life valuation Syz; by comparing and evaluating the preset life threshold U with the life valuation Syz, the system can monitor the status of sports equipment in real time, extend the service life of sports equipment and avoid unexpected failures.

[0032] Example 4 The automation management module includes a maintenance instruction processing unit and a report generating unit; The maintenance instruction processing unit is used to extract historical maintenance related data, including the historical maintenance times Lwcs, and calculate the equipment replacement index Qcgh by the following formula: Where, Owb represents the weight value of the historical maintenance times Lwcs, and 0≤Owb<1; The preset replacement threshold P is compared with the equipment replacement index Qcgh for evaluation. The specific evaluation contents are as follows: When the equipment replacement index Qcgh ≤ the replacement threshold P, it indicates that the sports equipment is worn or aged but has not reached the replacement standard. In this case, a maintenance recommendation report is generated and the equipment should continue to be used and regularly inspected. When the equipment replacement index Qcgh>replacement threshold P, it indicates that the sports equipment is worn or aged and has reached the replacement standard and needs to be replaced. At this time, a replacement plan report is generated and the equipment is stopped from use.

[0033] The report generating unit is used to automatically generate a maintenance suggestion report and a replacement plan report according to the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh. The specific report contents are as follows: The specific contents of the maintenance recommendation report are: High-frequency use level: Regular maintenance of sports equipment, including lubrication, cleaning and inspection of key components, including motors and transmission systems, and one additional inspection on top of the original monthly inspection frequency; Medium frequency use level: perform routine maintenance on sports equipment, focus on checking worn parts and stress points, and regularly adjust the force balance of sports equipment. At the same time, add one inspection to the original quarterly inspection frequency, and conduct additional inspections when the use of sports equipment exceeds the original use by 20%; Low-frequency use level: Regularly inspect sports equipment, including surface wear and loose bolts, and perform maintenance, including cleaning and simple adjustments. At the same time, add one inspection every six months on top of the original inspection frequency; The specific contents of the replacement plan report are as follows: High-frequency use level: suspend the use of sports equipment and purchase high-strength replacement sports equipment of the same type, giving priority to models with high durability and low maintenance costs; replacement must be completed within one week; Medium frequency use level: Include the replacement of sports equipment in the plan for the next maintenance cycle, prepare new replacement sports equipment in advance, and make arrangements for the selection, purchase and installation of sports equipment; the replacement time limit is to be completed within one month; Low-frequency use level: All equipment will be replaced during the next major overhaul. Due to the low frequency of use of sports equipment, the replacement time will be postponed within the prescribed usage cycle; the replacement time limit is three months.

[0034] In this embodiment, intelligent management of maintenance and replacement of sports equipment is achieved through the combination of a maintenance instruction processing unit and a report generating unit; the maintenance instruction processing unit can extract historical maintenance data, including the number of historical maintenance times Lwcs, and evaluate the replacement needs of sports equipment through the calculation formula of the equipment replacement index Qcgh combined with the weight value Owb to ensure that the equipment will not be replaced unnecessarily or overloaded for a long time; by comparing the equipment replacement index Qcgh with the replacement threshold P, the system automatically generates a maintenance recommendation report or a replacement plan report; the report generating unit automatically provides maintenance and replacement suggestions according to the usage level of the equipment, and high-frequency use of sports equipment Sports equipment will receive more frequent maintenance and a quick replacement plan to ensure its continued operation under high load; medium-frequency sports equipment will receive routine maintenance based on wear and stress conditions, and will be scheduled for replacement during the next maintenance cycle; infrequently used sports equipment will be replaced uniformly during major overhauls to avoid neglect and account suspension due to infrequent use. Through this system, the maintenance and replacement of sports equipment are accurately managed, avoiding the waste or risk of replacing sports equipment too early or too late, and all key parameters, including the historical maintenance times Lwcs, the equipment replacement index Qcgh and the replacement threshold P, are accurately calculated and collected, making sports equipment management more efficient and scientific.

[0035] Example 5 An automated sports equipment management method comprises the following steps: Step 1: Classify and manage sports equipment in advance, count the usage frequency of each sports equipment within a fixed period, and set usage frequency thresholds, including a first frequency threshold Q, a second frequency threshold W, and a third frequency threshold E; Step 2: Classify the sports equipment into different levels according to the frequency of use threshold, and monitor the stress and wear of each level of sports equipment in real time, while monitoring and recording the impact of environmental factors on the sports equipment; Step 3: pre-process the data related to the stress and wear of the sports equipment, as well as the data related to the impact of environmental factors on the equipment, and construct a stress data set, a wear data set and an environmental impact data set respectively; Step 4: Based on the force data set, the wear data set and the environmental impact data set, the service life of the sports equipment is analyzed in hierarchical order using a machine learning algorithm; through step-by-step calculations, the life estimation value Syz of the equipment is finally obtained and evaluated, and finally a maintenance instruction is issued according to the evaluation content of the life estimation value Syz; Step 5: Receive maintenance instructions, extract historical maintenance-related data and associate them with the life estimate Syz, obtain and evaluate the equipment replacement index Qcgh, and finally automatically generate a maintenance recommendation report or a replacement plan report based on the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh.

[0036] In this embodiment, efficient and precise management of sports equipment is achieved by executing in steps; Step 1 counts the usage frequency and sets the usage frequency threshold, including the first frequency threshold Q, the second frequency threshold W and the third frequency threshold E, so as to accurately divide the usage level of sports equipment and effectively distinguish high-frequency, medium-frequency and low-frequency equipment; Step 2 monitors the stress condition, wear condition and environmental factors in real time to ensure that the operating status of sports equipment under different conditions can be accurately controlled, and the maximum stress Fmax, wear speed Vw and air dust content Cd are recorded in real time; Step 3 pre-processes the collected data, including removing outliers and dimensionless processing, to ensure Ensure the consistency and high accuracy of the data, build a force data set, a wear data set and an environmental impact data set, which is helpful for subsequent analysis; Step 4 uses a machine learning algorithm to gradually calculate and evaluate each data set, obtain the life estimate Syz and issue maintenance instructions, so that the service life of the sports equipment can be scientifically predicted, effectively avoiding premature or late maintenance; Step 5 extracts historical maintenance data, combines the equipment replacement index Qcgh and the usage level of the sports equipment, and automatically generates a maintenance recommendation report or a replacement plan report to ensure that the maintenance and replacement of sports equipment are more rational and intelligent, ultimately greatly improving the efficiency and safety of the use of sports equipment.

[0037] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An automated sports equipment management system, characterized in that: It includes equipment classification module, data monitoring module, data processing module, service life prediction and analysis module and automation management module; The equipment classification module is used to classify and manage sports equipment in advance, count the usage frequency of each sports equipment within a fixed period, and set usage frequency thresholds, including a first frequency threshold Q, a second frequency threshold W, and a third frequency threshold E; The data monitoring module is used to classify sports equipment according to the frequency of use threshold, and monitor the stress and wear of each level of sports equipment in real time, while monitoring the impact of environmental factors on sports equipment and recording them; The data processing module is used to pre-process the data related to the stress and wear of the sports equipment, as well as the data related to the impact of environmental factors on the equipment, and respectively construct a stress data set, a wear data set and an environmental impact data set; The service life prediction and analysis module analyzes the service life of sports equipment in hierarchical order based on the force data set, the wear data set and the environmental impact data set using a machine learning algorithm; through step-by-step calculation, the service life estimation value Syz of the equipment is finally obtained and evaluated, and finally a maintenance instruction is issued according to the evaluation content of the service life estimation value Syz; The automated management module is used to receive maintenance instructions, extract historical maintenance-related data and associate them with the life estimate Syz, obtain and evaluate the equipment replacement index Qcgh, and finally automatically generate a maintenance recommendation report or a replacement plan report based on the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh.

2. An automated sports equipment management system according to claim 1, characterized in that: The equipment classification module includes a frequency statistics unit and a threshold sorting unit; The frequency statistics unit is used to perform real-time statistics on the usage of each sports equipment within a fixed period, and calculate the average usage frequency Favg within the fixed period according to the usage of each sports equipment, and then calculate the first frequency threshold Q, the second frequency threshold W and the third frequency threshold E according to the formula. The specific calculation formula is as follows: Wherein, n represents the frequency threshold, and K represents the adjustment coefficient, which is used to adjust the frequency threshold.

3. An automated sports equipment management system according to claim 2, characterized in that: The threshold sorting unit performs sorting according to the first frequency threshold Q, the second frequency threshold W and the third frequency threshold E provided by the frequency statistics unit, specifically, the first frequency threshold Q>the second frequency threshold W>the third frequency threshold E.

4. The automatic sports equipment management system according to claim 1, characterized in that: The data monitoring module includes a level division unit and a data monitoring unit; The level division unit is used to divide the sports equipment into different levels according to the usage frequency threshold, and classify the sports equipment into high-frequency usage level, medium-frequency usage level and low-frequency usage level according to the preset usage frequency threshold, and manage and monitor the sports equipment, and then monitor the sports equipment in the order of high-frequency usage level, medium-frequency usage level and low-frequency usage level and record relevant data; The data monitoring unit includes a force monitoring subunit, a wear monitoring subunit and an environment monitoring subunit; The force monitoring subunit is used to monitor and record the specific force conditions of each level of equipment during use in real time, and obtain relevant data on the force conditions; the relevant data on the force conditions include the maximum force Fmax, the dynamic force change rate Fdyn and the impact load ratio Csl; The wear monitoring subunit is used to monitor the wear condition of the surface of the sports equipment and record the wear condition related data in real time; the wear condition related data include the wear velocity Vw, the surface hardness change rate Hrate and the fatigue crack growth rate Fcr; The environmental monitoring subunit is used to monitor the impact of the environment on the use of sports equipment and record the environmental impact related data in real time; the environmental impact related data include air dust content Cd, local humidity difference Hd and micro-vibration amplitude Mv.

5. An automated sports equipment management system according to claim 4, characterized in that: The data processing module is used to preprocess the force condition-related data, wear condition-related data and environmental impact-related data of the sports equipment collected from the data monitoring unit, including removing outliers, smoothing noise data and dimensionless processing of the force condition-related data, wear condition-related data and environmental impact-related data, and constructing a force data set, a wear data set and an environmental impact data set based on the preprocessed force condition-related data, wear condition-related data and environmental impact-related data, respectively.

6. An automated sports equipment management system according to claim 5, characterized in that: The service life prediction and analysis module includes a data analysis unit and an equipment life assessment unit; The data analysis unit analyzes each data set based on the force data set, the wear data set and the environmental impact data set using a machine learning algorithm, and processes the data in the order of the high-frequency use level, the medium-frequency use level and the low-frequency use level of the equipment, and calculates and obtains the force index Zsl, the wear index Zms and the environmental impact index Zhj. The specific calculation formula is as follows: Wherein, t1, t2 and t3 represent the weight values ​​of air dust content Cd, local humidity difference Hd and micro-vibration amplitude Mv respectively, and the specific values ​​are adjusted by the user; r is the adjustment coefficient, which is used to adjust the calculation result of the overall calculation formula of the environmental impact index Zhj and control the range of the output environmental impact index Zhj; In the formula of the stress index Zsl, Fmax represents the maximum stress in the stress condition related data, Fdyn represents the dynamic stress change rate in the stress condition related data, and Csl represents the impact load ratio in the stress condition related data; In the formula of the wear index Zms, Vw represents the wear velocity in the wear condition related data, Hrate represents the surface hardness change rate in the wear condition related data, and Fcr represents the fatigue crack growth rate in the wear condition related data; In the formula of the environmental impact index Zhj, Cd represents the dust content in the air in the environmental impact related data, Hd represents the local humidity difference in the environmental impact related data, and Mv represents the micro-vibration amplitude in the environmental impact related data. r is the adjustment coefficient, which is used to adjust the calculation result of the overall calculation formula of the environmental impact index Zhj and control the range of the output environmental impact index Zhj.

7. An automated sports equipment management system according to claim 6, characterized in that: The equipment life evaluation unit obtains the life estimation value Syz by extracting the stress index Zsl, the wear index Zms and the environmental impact index Zhj and correlating them. The specific calculation formula is as follows: Where y is the adjustment parameter, which is used to adjust the comprehensive effect of the stress index Zsl, wear index Zms and environmental impact index Zhj on the life estimation Syz; The preset life threshold U is compared with the life estimate Syz for evaluation. The specific evaluation contents are as follows: When the life estimate Syz>life threshold U, it indicates that the current state of the sports equipment is normal, indicating that maintenance is not required and the state of the sports equipment should be re-evaluated regularly; The life estimation value Syz ≤ the life threshold value U indicates that the current state of the sports equipment is abnormal, indicating that the current sports equipment has a risk of failure and needs maintenance or replacement, and a maintenance instruction is automatically issued.

8. An automated sports equipment management system according to claim 1, characterized in that: The automation management module includes a maintenance instruction processing unit and a report generating unit; The maintenance instruction processing unit is used to extract historical maintenance related data, including the historical maintenance times Lwcs, and calculate the equipment replacement index Qcgh by the following formula: Where, Owb represents the weight value of the historical maintenance times Lwcs, and 0≤Owb<1; The preset replacement threshold P is compared with the equipment replacement index Qcgh for evaluation. The specific evaluation contents are as follows: When the equipment replacement index Qcgh ≤ the replacement threshold P, it indicates that the sports equipment is worn or aged but has not reached the replacement standard. In this case, a maintenance recommendation report is generated and the equipment continues to be used and regularly inspected. When the equipment replacement index Qcgh>replacement threshold P, it indicates that the sports equipment is worn or aged and has reached the replacement standard and needs to be replaced. At this time, a replacement plan report is generated and the equipment is stopped from use.

9. An automated sports equipment management system according to claim 8, characterized in that: The report generating unit is used to automatically generate a maintenance suggestion report and a replacement plan report according to the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh. The specific report contents are as follows: The specific contents of the maintenance recommendation report are: High-frequency use level: Regular maintenance of sports equipment, including lubrication, cleaning and inspection of key components, including motors and transmission systems, and one additional inspection on top of the original monthly inspection frequency; Medium frequency use level: perform routine maintenance on sports equipment, focus on checking worn parts and stress points, and regularly adjust the force balance of sports equipment. At the same time, add one inspection to the original quarterly inspection frequency, and conduct additional inspections when the use of sports equipment exceeds the original usage by 20%; Low-frequency use level: Regularly inspect sports equipment, including surface wear and loose bolts, and perform maintenance, including cleaning and simple adjustments. At the same time, add one inspection every six months on top of the original inspection frequency; The specific contents of the replacement plan report are as follows: High-frequency use level: suspend the use of sports equipment and purchase high-strength replacement sports equipment of the same type, giving priority to models with high durability and low maintenance costs; replacement must be completed within one week; Medium frequency use level: Include the replacement of sports equipment in the plan for the next maintenance cycle, prepare new replacement sports equipment in advance, and make arrangements for the selection, purchase and installation of sports equipment; the replacement time limit is to be completed within one month; Low-frequency use level: All equipment will be replaced during the next major overhaul. Due to the low frequency of use of sports equipment, the replacement time will be postponed within the prescribed usage cycle; the replacement time limit is three months.

10. An automated sports equipment management method, applied to an automated sports equipment management system according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Classify and manage sports equipment in advance, count the usage frequency of each sports equipment within a fixed period, and set usage frequency thresholds, including a first frequency threshold Q, a second frequency threshold W, and a third frequency threshold E; Step 2: Classify the sports equipment into different levels according to the frequency of use threshold, and monitor the stress and wear of each level of sports equipment in real time, while monitoring and recording the impact of environmental factors on the sports equipment; Step 3: pre-process the data related to the stress and wear of the sports equipment, as well as the data related to the impact of environmental factors on the equipment, and construct a stress data set, a wear data set and an environmental impact data set respectively; Step 4: Based on the force data set, the wear data set and the environmental impact data set, the service life of the sports equipment is analyzed in hierarchical order using a machine learning algorithm; through step-by-step calculations, the life estimation value Syz of the equipment is finally obtained and evaluated, and finally a maintenance instruction is issued according to the evaluation content of the life estimation value Syz; Step 5: Receive maintenance instructions, extract historical maintenance-related data and associate them with the life estimate Syz, obtain and evaluate the equipment replacement index Qcgh, and finally automatically generate a maintenance recommendation report or a replacement plan report based on the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh.

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