An automated sports equipment management system and method

Abstract

The present invention discloses an automated sports equipment management system and method, which relates to the technical field of equipment management. Through the setting of a frequency statistics unit and a threshold sorting unit, this technical solution effectively solves the problem of insufficient monitoring accuracy of sports equipment. The system accurately divides the usage levels according to the actual usage situation of the equipment, and real-time monitors the force, wear and environmental data. The data analysis ability is improved through the life prediction analysis module, and machine learning algorithms are used to analyze the force, wear and environmental data. The automated management module realizes real-time data processing through the maintenance instruction processing unit and the report generation unit, and conducts a comparative evaluation by comparing the equipment replacement index Qcgh with the replacement threshold P. According to the evaluation content of the equipment replacement index Qcgh, a maintenance suggestion report and a replacement plan report are respectively generated, solving the problem of lagging data update.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment management, and particularly 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 recording to digital management. Early systems were mostly simple inventory records, while modern systems cover the full life cycle management of equipment, including procurement, use, maintenance, and scrapping.

[0003] The sports equipment management system has a wide range of application fields, including gymnasiums. In the sports equipment management system of gymnasiums, the following technical drawbacks often exist:

[0004] 1. Insufficient monitoring accuracy of sports equipment: Some systems do not monitor the usage of equipment accurately enough, and cannot capture the wear of equipment in time, resulting in delayed maintenance.

[0005] 2. Limited data analysis ability: The system does not analyze data such as the usage frequency and lifespan of equipment deeply enough, and it is difficult to predict the failure time of sports equipment, affecting the rationality of the maintenance plan.

[0006] 3. Lag in real-time update: Due to the lack of efficient integration of the system with Internet of Things sports equipment, the real-time update of equipment status may be delayed, resulting in failure to repair faulty sports equipment in time. Summary of the Invention

[0007] In view of the deficiencies of the prior art, the present invention provides an automated sports equipment management system and method, which solves the technical problems of insufficient monitoring accuracy of sports equipment, limited data analysis ability, and lag in real-time update in the background art.

[0008] To achieve the above object, the present invention is realized through the following technical solutions: An automated sports equipment management system includes an equipment classification module, a data monitoring module, a data processing module, a service life prediction and analysis module, and an automated management module;

[0009] The equipment classification module is used to classify and manage sports equipment in advance, count the usage frequency of each type of 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;

[0010] The data monitoring module is used to classify sports equipment according to the usage frequency threshold, and real-time monitor the stress and wear conditions of sports equipment at each level. At the same time, it monitors the impact of environmental factors on sports equipment and records it;

[0011] The data processing module is used to preprocess the data related to the stress and wear conditions of 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;

[0012] The service life prediction and analysis module analyzes the service life of sports equipment based on the stress data set, the wear data set, and the environmental impact data set using machine learning algorithms in order of level; through step-by-step calculation, finally obtain the life estimate Syz of the equipment and evaluate it, and finally issue a maintenance instruction according to the evaluation content of the life estimate Syz;

[0013] The automated management module is used to receive the maintenance instruction, extract the historical maintenance-related data and associate it with the life estimate Syz, obtain the equipment replacement index Qcgh and evaluate it, and finally automatically generate a maintenance recommendation report or a replacement plan report according to the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh.

[0014] Preferably, the equipment classification module includes a frequency statistics unit and a threshold sorting unit;

[0015] The frequency statistics unit is used to perform real-time statistics on the usage situation of each type of sports equipment within a fixed period, calculate the average usage frequency Favg within this fixed period according to the usage situation of each type of 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:

[0016]

[0017] In the formula, n represents the frequency threshold, and K represents an adjustment coefficient used to adjust the frequency threshold.

[0018] Preferably, the threshold sorting unit sorts 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.

[0019] Preferably, the data monitoring module includes a level classification unit and a data monitoring unit;

[0020] The level classification unit is used to classify sports equipment into different levels according to the usage frequency threshold, classify them into sports equipment with high-frequency usage level, medium-frequency usage level, and low-frequency usage level according to the preset usage frequency threshold, manage and monitor them, and then monitor and record the relevant data of sports equipment in the order of high-frequency usage level, medium-frequency usage level, and low-frequency usage level;

[0021] The data monitoring unit includes a stress monitoring subunit, a wear monitoring subunit, and an environmental monitoring subunit;

[0022] The force monitoring subunit is used to monitor and record in real time the specific force conditions of equipment at all levels during use, and obtain data related to the force conditions; the data related to the force conditions includes the maximum force Fmax, the dynamic force change rate Fdyn, and the impact load ratio Csl;

[0023] The wear monitoring subunit is used to monitor the wear condition of the surface of sports equipment and record in real time the data related to the wear condition; the data related to the wear condition includes the wear speed Vw, the surface hardness change rate Hrate, and the fatigue crack growth rate Fcr;

[0024] The environmental monitoring subunit is used to monitor the impact of the environment on the use of sports equipment and record in real time the data related to the environmental impact; the data related to the environmental impact includes the air dust content Cd, the local humidity difference Hd, and the micro-vibration amplitude Mv.

[0025] Preferably, the data processing module is used to preprocess the data related to the force conditions, the data related to the wear conditions, and the data related to the environmental impacts of sports equipment collected from the data monitoring unit, including removing outliers, smoothing noise data, and performing dimensionless processing on the data related to the force conditions, the data related to the wear conditions, and the data related to the environmental impacts, and constructing a force data set, a wear data set, and an environmental impact data set respectively according to the preprocessed data related to the force conditions, the data related to the wear conditions, and the data related to the environmental impacts.

[0026] Preferably, the service life prediction and analysis module includes a data analysis unit and an equipment life evaluation unit;

[0027] The data analysis unit is based on the force data set, the wear data set, and the environmental impact data set, uses machine learning algorithms to analyze each data set, and at the same time performs data processing 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 formulas are as follows:

[0028]

[0029] In the formula, t1, t2, and t3 respectively represent the weight values of the air dust content Cd, the local humidity difference Hd, and the micro-vibration amplitude Mv, and the specific values are adjusted by the user; r is an 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;

[0030] In the formula of the stress index Zsl, Fmax represents the maximum stress in the stress-related data, Fdyn represents the dynamic stress change rate in the stress-related data, and Csl represents the impact load ratio in the stress-related data;

[0031] In the formula of the wear index Zms, Vw represents the wear rate in the wear-related data, Hrate represents the surface hardness change rate in the wear-related data, and Fcr represents the fatigue crack growth rate in the wear-related data;

[0032] 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 amplitude of micro-vibration in the environmental impact-related data.

[0033] Preferably, the equipment life evaluation unit obtains the life valuation Syz by extracting and correlating the stress index Zsl, the wear index Zms, and the environmental impact index Zhj. The specific calculation formula is as follows:

[0034]

[0035] In the formula, y is an adjustment parameter used to adjust the comprehensive effect of the stress index Zsl, the wear index Zms, and the environmental impact index Zhj on the life valuation Syz;

[0036] The life valuation Syz is compared with a preset life threshold U for evaluation. The specific evaluation content is as follows:

[0037] When the life valuation Syz > the life threshold U, it indicates that the current state of the sports equipment is normal, meaning that no maintenance is required, and the status of the sports equipment should be re-evaluated regularly;

[0038] When the life valuation Syz ≤ the life threshold U, it indicates that the current state of the sports equipment is abnormal, meaning that there is a risk of failure in the current sports equipment, and maintenance or replacement is required, and a maintenance instruction is automatically issued.

[0039] Preferably, the automated management module includes a maintenance instruction processing unit and a report generation unit;

[0040] The maintenance instruction processing unit is used to extract historical maintenance-related data, including the historical maintenance times Lwcs, and calculate and obtain the equipment replacement index Qcgh through the following formula:

[0041]

[0042] In the formula, Owb represents the weight value of the historical maintenance times Lwcs, and 0 ≤ Owb < 1;

[0043] Through the comparison and evaluation of the preset replacement threshold P and the equipment replacement index Qcgh, the specific evaluation content is as follows:

[0044] When the equipment replacement index Qcgh ≤ the replacement threshold P, it indicates that although the sports equipment is worn or aged, it has not reached the replacement standard. At this time, a maintenance suggestion report is generated, and the equipment continues to be used and undergoes regular inspections;

[0045] When the equipment replacement index Qcgh > the 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 use of the equipment is stopped.

[0046] Preferably, the report generation unit is used to automatically generate a maintenance suggestion report and a replacement plan report respectively according to the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh. The specific report content is as follows:

[0047] The specific content of the maintenance suggestion report is:

[0048] High-frequency usage level: Regularly maintain the sports equipment, including lubrication, cleaning, and inspection of key components, including motors and drive systems. At the same time, increase the number of inspections by one time on the basis of the original monthly inspection frequency;

[0049] Medium-frequency usage level: Conduct routine maintenance on the sports equipment, focusing on inspecting worn components and stress points, and regularly adjusting the stress balance of the sports equipment. At the same time, increase the number of inspections by one time on the basis of the original quarterly inspection frequency, and conduct additional inspections when the usage volume of the sports equipment exceeds 20% of the original usage volume;

[0050] Low-frequency usage level: Regularly inspect the sports equipment, including surface wear and bolt looseness of the sports equipment, and conduct maintenance, including cleaning and simple adjustment. At the same time, increase the number of inspections by one time on the basis of the original semi-annual inspection frequency;

[0051] The specific content of the replacement plan report is:

[0052] High-frequency usage level: Suspend the use of the sports equipment and purchase high-strength alternative sports equipment of the same type. Give priority to models with high durability and low maintenance costs; the replacement time limit is to be completed within one week;

[0053] Medium-frequency usage level: Include the replacement of the sports equipment in the plan for the next maintenance cycle, prepare new replacement sports equipment in advance, and arrange for the selection, purchase, and installation of the sports equipment; the replacement time limit is to be completed within one month;

[0054] Low-frequency usage level: Replace it uniformly during the next major overhaul of the sports equipment. Due to the low usage frequency of the sports equipment, the replacement time can be postponed within the specified usage cycle; the replacement time limit is to be completed within three months.

[0055] An automated sports equipment management method, comprising the following steps:

[0056] Step 1: Classify and manage sports equipment in advance, count the usage frequency of each type of 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;

[0057] Step 2: Classify sports equipment according to the usage frequency thresholds, and monitor the stress and wear conditions of sports equipment at each level in real time. At the same time, monitor the impact of environmental factors on sports equipment and record it;

[0058] Step 3: Preprocess the data related to the stress and wear conditions of 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;

[0059] Step 4: Based on the stress data set, the wear data set, and the environmental impact data set, use machine learning algorithms to analyze the service life of sports equipment in the order of levels; through step-by-step calculation, finally obtain the life estimate Syz of the equipment and evaluate it, and finally issue a maintenance instruction based on the evaluation content of the life estimate Syz;

[0060] Step 5: Receive the maintenance instruction, extract the historical maintenance-related data and associate it with the life estimate Syz, obtain the equipment replacement index Qcgh and evaluate it, and finally automatically generate a maintenance recommendation report or a replacement plan report according to the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh.

[0061] The present invention provides an automated sports equipment management system and method. It has the following beneficial effects:

[0062] (1) For the automated sports equipment management system and method, by setting a frequency statistics unit and a threshold sorting unit, the system can accurately classify the usage levels according to the actual usage situation of sports equipment, and record detailed data sets by monitoring the stress, wear, and environmental impact in real time; at the same time, the use of the stress monitoring sub-unit, the wear monitoring sub-unit, and the environmental monitoring sub-unit ensures the monitoring of the equipment in different environments, solving the problem of insufficient monitoring accuracy in traditional sports equipment management; comprehensively collecting and constructing a stress data set, a wear data set, and an environmental impact data set makes the state evaluation of sports equipment more accurate.

[0063] (2) The automated sports equipment management system and method have been effectively improved through the service life prediction and analysis module; using machine learning algorithms, and based on the force data set, wear data set, and environmental impact data set, systematic analysis is carried out; data processing is carried out separately according to the usage level of the equipment. By calculating the force index Zsl, wear index Zms, and environmental impact index Zhj and correlating them, the life estimation value Syz is obtained and accurately evaluated; the system can adaptively adjust the influence of various factors on life estimation, improve the analysis ability of sports equipment data, and then optimize the maintenance and replacement strategies of sports equipment.

[0064] (3) The automated sports equipment management system and method. The automated management module realizes real-time data processing and the automatic generation of maintenance suggestions or replacement plans by introducing a maintenance instruction processing unit and a report generation unit; the system can obtain the equipment replacement index Qcgh based on the life estimation value Syz and evaluate it. The system automatically generates a maintenance suggestion report and a replacement plan report, recommends replacing or maintaining sports equipment, and reasonably sets the replacement time limit according to the level of sports equipment, solving the problem of delayed maintenance caused by lagging data updates in traditional systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a schematic diagram of the framework structure of an automated sports equipment management system of the present invention;

[0066] Figure 2 It is a schematic diagram of the step flow of an automated sports equipment management method of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0067] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0068] Embodiment 1

[0069] Please refer to 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;

[0070] 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 the first frequency threshold Q, the second frequency threshold W, and the third frequency threshold E;

[0071] The data monitoring module is used to classify sports equipment according to the usage frequency threshold, and to monitor the stress and wear conditions of sports equipment at each level in real time. At the same time, it monitors the impact of environmental factors on sports equipment and records it;

[0072] The data processing module is used to preprocess the data related to the stress and wear conditions of sports equipment, as well as the data related to the impact of environmental factors on the equipment, and to construct a stress data set, a wear data set, and an environmental impact data set respectively;

[0073] The service life prediction and analysis module is based on the stress data set, the wear data set, and the environmental impact data set, and uses machine learning algorithms to analyze the service life of sports equipment in the order of levels; through step-by-step calculation, the life valuation Syz of the equipment is finally obtained and evaluated, and finally a maintenance instruction is issued based on the evaluation content of the life valuation Syz;

[0074] The automatic management module is used to receive the maintenance instruction, extract the historical maintenance-related data and associate it with the life valuation Syz, obtain the equipment replacement index Qcgh and evaluate it, and finally automatically generate a maintenance suggestion report or a replacement plan report according to the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh.

[0075] In this embodiment, through the coordinated action of the equipment classification module, the data monitoring module, the data processing module, the service life prediction and analysis module, and the automatic management module, the intelligent management of the entire life cycle of sports equipment is realized; the equipment classification module can classify and manage the equipment according to the usage frequency threshold, 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 sports equipment at each level in real time, and collects the stress data set, the wear data set, and the environmental impact data set; the data processing module preprocesses these data to ensure the accuracy and consistency of the data; the service life prediction and analysis module uses machine learning algorithms to gradually calculate the life valuation Syz of sports equipment, and issues a maintenance instruction according to the valuation; the automatic management module extracts historical maintenance data, calculates the equipment replacement index Qcgh and evaluates it, and finally automatically generates a maintenance suggestion report or a replacement plan report to ensure the efficient management and use of sports equipment; through this system, the management of sports equipment becomes more accurate, reducing the problems of insufficient monitoring accuracy, limited data analysis ability, and lag in real-time update of sports equipment, and greatly improving the use efficiency and safety of the equipment.

[0076] Embodiment 2

[0077] The equipment classification module includes a frequency statistics unit and a threshold sorting unit;

[0078] The frequency statistics unit is used to perform real-time statistics on the usage of each sports equipment within a fixed period, calculate the average usage frequency Favg within this fixed period based on 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:

[0079]

[0080] In the formula, n represents the frequency threshold, and K represents the adjustment coefficient for adjusting the frequency threshold.

[0081] The threshold sorting unit sorts 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.

[0082] The data monitoring module includes a level division unit and a data monitoring unit;

[0083] The level division unit is used to divide sports equipment into different levels according to the usage frequency, classify them into high-frequency usage level, medium-frequency usage level, and low-frequency usage level sports equipment corresponding to the preset usage frequency thresholds, and manage and monitor them. Then, it monitors and records relevant data for sports equipment in the order of high-frequency usage level, medium-frequency usage level, and low-frequency usage level;

[0084] The data monitoring unit includes a force monitoring subunit, a wear monitoring subunit, and an environment monitoring subunit;

[0085] The force monitoring subunit is used to monitor and record in real time the specific force conditions of equipment at all levels during use, and obtain force condition-related data; the force condition-related data includes the maximum force Fmax, the dynamic force change rate Fdyn, and the impact load ratio Csl;

[0086] The wear monitoring subunit is used to monitor the wear condition of the surface of sports equipment and record wear condition-related data in real time; the wear condition-related data includes the wear speed Vw, the surface hardness change rate Hrate, and the fatigue crack growth rate Fcr;

[0087] The environment monitoring subunit is used to monitor the impact of the environment on the use of sports equipment and record environment impact-related data in real time; the environment impact-related data includes the air dust content Cd, the local humidity difference Hd, and the micro-vibration amplitude Mv.

[0088] The data processing module is used to preprocess the data related to the force condition, wear condition, and environmental impact of sports equipment collected from the data monitoring unit, including removing outliers, smoothing noise data, and performing dimensionless processing on the data related to the force condition, wear condition, and environmental impact, and constructing a force data set, a wear data set, and an environmental impact data set according to the preprocessed data related to the force condition, wear condition, and environmental impact, respectively.

[0089] In this embodiment, through the close combination of the equipment division module, the data monitoring module, and the data processing module, the precise management and monitoring of sports equipment are realized; the frequency statistics unit in the equipment division module can calculate the first frequency threshold Q, the second frequency threshold W, and the third frequency threshold E through a 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 manage different frequency-level equipment in a targeted manner; the force monitoring sub-unit in the data monitoring module can collect the maximum force Fmax, the dynamic force change rate Fdyn, and the impact load ratio Csl, and 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 during long-term use; the wear monitoring sub-unit effectively evaluates the wear degree of the equipment by recording the wear speed Vw, the surface hardness change rate Hrate, and the fatigue crack growth rate Fcr in real time, and helps to judge the service life of sports equipment; the environmental monitoring sub-unit ensures that the external environment will not have too much negative impact on the operation of the equipment by monitoring the air dust content Cd, the local humidity difference Hd, and the micro-vibration amplitude Mv; the data processing module ensures the high precision and consistency of the collected data through removing outliers, smoothing noise data, and dimensionless processing, which is convenient for subsequent analysis and prediction; through the collection and processing of these data, the system can grasp the usage status of the equipment in real time, provide accurate maintenance suggestions, extend the equipment life, and avoid the occurrence of failures.

[0090] Embodiment 3

[0091] The service life prediction and analysis module includes a data analysis unit and an equipment life evaluation unit;

[0092] The data analysis unit is based on the force data set, the wear data set, and the environmental impact data set, uses machine learning algorithms to analyze each data set, and at the same time processes the data in the order of the high-frequency usage level, the medium-frequency usage level, and the low-frequency usage 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 formulas are as follows:

[0093]

[0094] Wherein, t1, t2, and t3 respectively represent the weight values of the air dust content Cd, the local humidity difference Hd, and the micro-vibration amplitude Mv, and the specific values are adjusted by the user; r is an adjustment coefficient used to adjust the calculation result of the overall calculation formula of the environmental impact index Zhj to control the range of the output environmental impact index Zhj.

[0095] In the formula of the stress index Zsl, Fmax represents the maximum stress in the stress-related data, Fdyn represents the dynamic stress change rate in the stress-related data, and Csl represents the impact load ratio in the stress-related data.

[0096] In the formula of the wear index Zms, Vw represents the wear rate in the wear-related data, Hrate represents the surface hardness change rate in the wear-related data, and Fcr represents the fatigue crack growth rate in the wear-related data.

[0097] In the formula of the environmental impact index Zhj, Cd represents the air dust content 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.

[0098] The equipment life evaluation unit obtains the life estimate Syz by extracting and correlating the stress index Zsl, the wear index Zms, and the environmental impact index Zhj. The specific calculation formula is as follows:

[0099]

[0100] Wherein, y is an adjustment parameter used to adjust the comprehensive effect of the stress index Zsl, the wear index Zms, and the environmental impact index Zhj on the life estimate Syz.

[0101] The preset life threshold U is compared with the life estimate Syz for evaluation. The specific evaluation content is as follows:

[0102] When the life estimate Syz > the life threshold U, it indicates that the current state of the sports equipment is normal, indicating that no maintenance is required, and the state of the sports equipment is re-evaluated regularly.

[0103] When the life estimate Syz ≤ the life threshold U, it indicates that the current state of the sports equipment is abnormal, indicating that there is a risk of failure in the current sports equipment, and maintenance or replacement is required, and a maintenance instruction is automatically issued.

[0104] In this embodiment, through the close combination of the data analysis unit and the equipment life evaluation unit, accurate prediction of the life of sports equipment is achieved. The data analysis unit analyzes based on the force data set, wear data set, and environmental impact data set, and uses machine learning algorithms to calculate the force index Zsl, wear index Zms, and 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 obtains the life estimate Syz by associating the force index Zsl, wear index Zms, and environmental impact index Zhj through a formula. By comparing and evaluating the preset life threshold U with the life estimate Syz, the system can monitor the status of sports equipment in real time, extend the service life of sports equipment, and avoid accidental failures.

[0105] Embodiment 4

[0106] The automated management module includes a maintenance instruction processing unit and a report generation unit;

[0107] 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 through the following formula:

[0108]

[0109] In the formula, Owb represents the weight value of the historical maintenance times Lwcs, and 0 ≤ Owb < 1;

[0110] By comparing and evaluating the preset replacement threshold P with the equipment replacement index Qcgh, the specific evaluation content is as follows:

[0111] When the equipment replacement index Qcgh ≤ the replacement threshold P, it indicates that although the sports equipment has wear or aging, it has not reached the replacement standard. At this time, a maintenance recommendation report is generated, and the equipment continues to be used and undergoes regular inspections;

[0112] When the equipment replacement index Qcgh > the replacement threshold P, it indicates that the sports equipment has wear or aging and has reached the replacement standard, and needs to be replaced. At this time, a replacement plan report is generated, and the use is stopped.

[0113] The report generation unit is used to automatically generate a maintenance recommendation report and a replacement plan report respectively according to the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh. The specific report content is as follows:

[0114] The specific content of the maintenance recommendation report is:

[0115] High-frequency usage level: Regularly maintain the sports equipment, including lubrication, cleaning, and inspection of key components, including motors and drive systems. At the same time, add one inspection on the basis of the original monthly inspection frequency;

[0116] Medium-frequency usage level: Conduct routine maintenance on sports equipment, focus on inspecting worn parts and stress points, regularly adjust the stress balance of sports equipment, and add one inspection on the basis of the original quarterly inspection frequency. Additionally, conduct an extra inspection when the usage volume of sports equipment exceeds 20% of the original usage volume;

[0117] Low-frequency usage level: Conduct regular inspections on sports equipment, including surface wear and bolt looseness of sports equipment, and conduct maintenance, including cleaning and simple adjustment. Also, add one inspection on the basis of the original semi-annual inspection frequency;

[0118] The specific content of the replacement plan report is as follows:

[0119] High-frequency usage level: Suspend the use of sports equipment and purchase high-strength alternative sports equipment of the same type. Prioritize models with high durability and low maintenance costs; The replacement time limit is to be completed within one week;

[0120] Medium-frequency usage level: Include the replacement of sports equipment in the plan for the next maintenance cycle, prepare new replacement sports equipment in advance, and arrange for the selection, purchase, and installation of sports equipment; The replacement time limit is to be completed within one month;

[0121] Low-frequency usage level: Replace uniformly during the next major overhaul of sports equipment. Due to the low usage frequency of sports equipment, extend the replacement time within the specified usage cycle; The replacement time limit is to be completed within three months.

[0122] In this embodiment, through the combination of the maintenance instruction processing unit and the report generation unit, the intelligent management of the maintenance and replacement of sports equipment is realized; the maintenance instruction processing unit can extract historical maintenance data, including the historical maintenance times Lwcs, and evaluate the replacement requirements of sports equipment by combining the calculation formula of the equipment replacement index Qcgh with the weight value Owb, ensuring that the equipment will not be replaced under unnecessary circumstances 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 generation unit automatically provides maintenance and replacement suggestions according to the usage level of the equipment. Sports equipment with high usage frequency will receive more frequent maintenance and a quick replacement plan to ensure its continuous operation under high load; sports equipment with medium usage frequency will be routinely maintained according to the wear and stress conditions and replaced within the next maintenance cycle; sports equipment with low usage frequency will be replaced uniformly during the major overhaul period to avoid neglect caused by low usage frequency. Through this system, the maintenance and replacement of sports equipment have been precisely managed, avoiding waste or risks caused by premature or late replacement of sports equipment, and all key parameters, including the historical maintenance times Lwcs, the equipment replacement index Qcgh, and the replacement threshold P, have been accurately calculated and collected, making the management of sports equipment more efficient and scientific.

[0123] Embodiment 5

[0124] An automated sports equipment management method includes the following steps:

[0125] Step 1: Classify and manage sports equipment in advance, count the usage frequency of each type of sports equipment within a fixed period, and set usage frequency thresholds, including the first frequency threshold Q, the second frequency threshold W, and the third frequency threshold E;

[0126] Step 2: Classify sports equipment according to the usage frequency thresholds, and monitor the stress and wear conditions of sports equipment at each level in real time. At the same time, monitor the impact of environmental factors on sports equipment and record it;

[0127] Step 3: Preprocess the data related to the stress and wear conditions of 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;

[0128] Step 4: Based on the stress data set, the wear data set, and the environmental impact data set, use machine learning algorithms to analyze the service life of sports equipment in the order of levels; through step-by-step calculations, finally obtain the life estimate Syz of the equipment and evaluate it, and finally issue a maintenance instruction according to the evaluation content of the life estimate Syz;

[0129] Step 5: Receive a maintenance instruction, extract historical maintenance-related data and associate it with the life estimate Syz, obtain the equipment replacement index Qcgh and evaluate it, and finally automatically generate a maintenance advice report or a replacement plan report according to the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh.

[0130] In this embodiment, through step-by-step execution, the efficient and precise management of sports equipment is achieved; in Step 1, by counting the usage frequency and setting usage frequency thresholds, including the first frequency threshold Q, the second frequency threshold W, and the third frequency threshold E, the usage levels of sports equipment can be accurately divided, effectively distinguishing high-frequency, medium-frequency, and low-frequency used equipment; in Step 2, by real-time monitoring the stress situation, wear condition, and environmental factor influence, the operating state of sports equipment under different conditions can be precisely controlled, and the maximum stress Fmax, wear rate Vw, and air dust content Cd are recorded in real time; in Step 3, the collected data is preprocessed, including removing outliers and dimensionless processing, to ensure the consistency and high precision of the data, and a stress data set, a wear data set, and an environmental impact data set are constructed, which helps subsequent analysis; in Step 4, through machine learning algorithms, each data set is gradually calculated and evaluated to obtain the life estimate Syz and issue a maintenance instruction, enabling the scientific prediction of the service life of sports equipment and effectively avoiding premature or late maintenance; in Step 5, by extracting historical maintenance data, combining the equipment replacement index Qcgh and the usage level of sports equipment, a maintenance advice report or a replacement plan report is automatically generated, ensuring that the maintenance and replacement of sports equipment are more reasonable and intelligent, and ultimately greatly improving the usage efficiency and safety of sports equipment.

[0131] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and 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 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 type of 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 usage frequency threshold, and continuously monitor the stress and wear conditions of sports equipment at each level. At the same time, it monitors the impact of environmental factors on sports equipment and records it; The data processing module is used to preprocess the data related to the stress and wear conditions of 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, based on the stress data set, the wear data set, and the environmental impact data set, uses machine learning algorithms to analyze the service life of sports equipment in the order of levels; through step-by-step calculations, finally obtain the life estimate Syz of the equipment and evaluate it, and finally issue a maintenance instruction based on the evaluation content of the life estimate Syz; The automated management module is used to receive the maintenance instruction, extract the historical maintenance-related data and associate it with the life estimate Syz, obtain the equipment replacement index Qcgh and evaluate it, and finally automatically generate a maintenance recommendation report or a replacement plan report according to the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh; The data monitoring module includes a level classification unit and a data monitoring unit; The level classification unit is used to classify sports equipment into different levels according to the usage frequency threshold, and classify it into high-frequency usage level, medium-frequency usage level, and low-frequency usage level sports equipment corresponding to the preset usage frequency threshold for management and monitoring. Then, it monitors and records relevant data for sports equipment in the order of high-frequency usage level, medium-frequency usage level, and low-frequency usage level; The data monitoring unit includes a stress monitoring subunit, a wear monitoring subunit, and an environmental monitoring subunit; The stress monitoring subunit is used to continuously monitor and record the specific stress conditions of equipment at each level during use, and obtain stress condition-related data; the stress condition-related data includes the maximum stress Fmax, the dynamic stress change rate Fdyn, and the impact load ratio Csl; The wear monitoring subunit is used to monitor the wear condition of the surface of sports equipment and continuously record the wear condition-related data; the wear condition-related data includes the wear speed 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 continuously record the environmental impact-related data; the environmental impact-related data includes the air dust content Cd, the local humidity difference Hd, and the micro-vibration amplitude Mv.

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, calculate the average usage frequency Favg within this 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: In the formula, n represents the frequency threshold, and K represents the adjustment coefficient for adjusting the frequency threshold.

3. An automated sports equipment management system according to claim 2, characterized in that: The threshold sorting unit sorts 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 as the first frequency threshold Q > the second frequency threshold W > the third frequency threshold E.

4. An automated sports equipment management system according to claim 3, characterized in that: The data processing module is used to preprocess the data related to the force condition, wear condition, and environmental impact of the sports equipment collected from the data monitoring unit, including removing outliers, smoothing noise data, and performing dimensionless processing on the data related to the force condition, wear condition, and environmental impact, and constructing a force data set, a wear data set, and an environmental impact data set respectively according to the preprocessed data related to the force condition, wear condition, and environmental impact.

5. An automated sports equipment management system according to claim 4, characterized in that: The service life prediction and analysis module includes a data analysis unit and an equipment life evaluation unit; The data analysis unit is based on the force data set, the wear data set, and the environmental impact data set, uses machine learning algorithms to analyze each data set, and at the same time processes the data in the order of the high-frequency usage level, medium-frequency usage level, and low-frequency usage 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: In the formula, t1, t2, and t3 respectively represent the weight values of the air dust content Cd, the local humidity difference Hd, and the micro-vibration amplitude Mv, and the specific values are adjusted by the user; r is the adjustment coefficient for adjusting the calculation result of the overall calculation formula of the environmental impact index Zhj to control the range of the output environmental impact index Zhj; In the formula of the force index Zsl, Fmax represents the maximum force in the data related to the force condition, Fdyn represents the dynamic force change rate in the data related to the force condition, and Csl represents the impact load ratio in the data related to the force condition; In the formula of the wear index Zms, Vw represents the wear rate in the data related to the wear condition, Hrate represents the surface hardness change rate in the data related to the wear condition, and Fcr represents the fatigue crack growth rate in the data related to the wear condition; In the formula of the environmental impact index Zhj, Cd represents the air dust content in the data related to the environmental impact, Hd represents the local humidity difference in the data related to the environmental impact, and Mv represents the micro-vibration amplitude in the data related to the environmental impact.

6. The automated sports equipment management system according to claim 5, wherein: The equipment life evaluation unit obtains the life estimate Syz by extracting and correlating the force index Zsl, the wear index Zms, and the environmental impact index Zhj. The specific calculation formula is as follows: Where y is an adjustment parameter used to adjust the comprehensive effect of the force index Zsl, wear index Zms, and environmental impact index Zhj on the life estimation Syz; The comparison and evaluation are carried out by presetting the life threshold U and the life estimation Syz. The specific evaluation content is as follows: When the life estimation Syz > the life threshold U, it indicates that the current state of the sports equipment is normal, meaning no maintenance is required, and the state of the sports equipment should be re-evaluated regularly; When the life estimation Syz ≤ the life threshold U, it indicates that the current state of the sports equipment is abnormal, meaning there is a risk of failure in the current sports equipment, and maintenance or replacement is required, and a maintenance instruction is issued automatically.

7. An automated sports equipment management system according to claim 1, characterized in that: The automated management module includes a maintenance instruction processing unit and a report generation 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 through the following formula: Where Owb represents the weight value of the historical maintenance times Lwcs, and 0 ≤ Owb < 1; The comparison and evaluation are carried out by presetting the replacement threshold P and the equipment replacement index Qcgh. The specific evaluation content is as follows: When the equipment replacement index Qcgh ≤ the replacement threshold P, it indicates that although the sports equipment has wear or aging, it has not reached the replacement standard. At this time, a maintenance suggestion report is generated, and the equipment continues to be used and inspected regularly; When the equipment replacement index Qcgh > the replacement threshold P, it indicates that the sports equipment has wear or aging and has reached the replacement standard, and replacement is required. At this time, a replacement plan report is generated, and the use is stopped.

8. An automated sports equipment management system according to claim 7, characterized in that: The report generation unit is used to automatically generate a maintenance suggestion report and a replacement plan report respectively according to the level of the sports equipment and the evaluation content of the equipment replacement index Qcgh. The specific report content is as follows: The specific content of the maintenance suggestion report is: High-frequency usage level: Regularly maintain the sports equipment, including lubrication, cleaning, and inspection of key components, including motors and drive systems. At the same time, increase the inspection frequency by one time on the basis of the original monthly inspection frequency; Medium-frequency usage level: Conduct routine maintenance on the sports equipment, focusing on inspecting worn components and stress points, and regularly adjusting the stress balance of the sports equipment. At the same time, increase the inspection frequency by one time on the basis of the original quarterly inspection frequency, and conduct additional inspections when the usage amount of the sports equipment exceeds the original usage amount by 20%; Low-frequency usage level: Regularly inspect the sports equipment, including surface wear and bolt looseness of the sports equipment, and conduct maintenance, including cleaning and simple adjustment. At the same time, increase the inspection frequency by one time on the basis of the original semi-annual inspection frequency; The specific content of the replacement plan report is: High-frequency usage level: Suspend the use of the sports equipment and purchase high-strength alternative sports equipment of the same type. Prioritize models with high durability and low maintenance costs; The replacement time limit is to be completed within one week; Medium-frequency usage level: Include the replacement of the sports equipment in the plan of the next maintenance cycle, prepare new replacement sports equipment in advance, and arrange the selection, purchase, and installation of the sports equipment; The replacement time limit is to be completed within one month; Low-frequency usage level: Replace them uniformly during the next major overhaul of sports equipment. Since the usage frequency of sports equipment is low, the replacement time can be postponed within the specified usage cycle; the replacement time limit is to be completed within three months.

9. An automated sports equipment management method, applied to an automated sports equipment management system according to any one of claims 1 to 8, characterized in that: It includes the following steps: Step 1: Classify and manage sports equipment in advance, count the usage frequency of each type of sports equipment within a fixed cycle, and set usage frequency thresholds, including the first frequency threshold Q, the second frequency threshold W, and the third frequency threshold E; Step 2: Classify sports equipment according to the usage frequency thresholds, and monitor the stress and wear conditions of sports equipment at each level in real time. At the same time, monitor the impact of environmental factors on sports equipment and record it; Step 3: Preprocess the data related to the stress and wear conditions of 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 stress data set, the wear data set, and the environmental impact data set, use machine learning algorithms to analyze the service life of sports equipment in the order of levels; through step-by-step calculations, finally obtain the life estimate Syz of the equipment and evaluate it. Finally, issue a maintenance instruction based on the evaluation content of the life estimate Syz; Step 5: Receive the maintenance instruction, extract the historical maintenance-related data and associate it with the life estimate Syz, obtain the equipment replacement index Qcgh and evaluate it. Finally, automatically generate a maintenance recommendation report or a replacement plan report according to the level of sports equipment and the evaluation content of the equipment replacement index Qcgh.

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