A full life cycle management system for rope training equipment

Abstract

The present invention relates to the technical field of product lifecycle management, specifically a full lifecycle management system for rope training equipment. The system includes an equipment kit structure definition module, in which an administrator selects independent ropes, quickdraws, belay devices, and safety harnesses, obtains an equipment kit topology diagram, identifies all dependent paths based on the equipment kit topology diagram, calculates a cumulative risk index, and generates a kit critical path list. In the present invention, through the administrator's selection of independent equipment such as ropes, quickdraws, belay devices, and safety harnesses, a topology diagram of the equipment kit with dependency directions is constructed, and all path structures therein are identified. The cumulative risk index is calculated based on the dependency node relationships and risk information in the paths, and a kit critical path list is generated based on this index. This allows subsequent data analysis to focus on the equipment paths that have the greatest impact on system safety.

Description

Technical Field

[0001] The present invention relates to the technical field of product life cycle management, and in particular to a full life cycle management system for rope training equipment. Background Art

[0002] Product lifecycle management is an integrated engineering management field that mainly involves information management and collaborative control of the entire product process from conceptual design, R&D and trial production, manufacturing and production, sales and delivery, operation and maintenance to retirement and scrapping.

[0003] Existing technologies focus on centralized information management across all stages of a product's lifecycle, from design to retirement. However, they lack the ability to deeply model the structural dependencies between product components, making it difficult to accurately track the transmission paths of risk within complex equipment systems. During the operational phase, equipment status assessment often relies on single-point detection or periodic inspections, making it difficult to implement dynamic early warning and response mechanisms based on real-time wear and tear data. This can easily lead to minor damage accumulating and escalating into systemic failures. Retirement and procurement processes are often based on timelines or human judgment, potentially leading to premature equipment retirement or delayed replacement. Therefore, improvements are needed. Summary of the Invention

[0004] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a full life cycle management system for rope training equipment.

[0005] In order to achieve the above objectives, the present invention adopts the following technical solutions: A rope training equipment full life cycle management system includes:

[0006] In the equipment kit structure definition module, the administrator selects independent ropes, quickdraws, belay devices, and safety belts, obtains an equipment kit topology diagram, identifies all dependent paths based on the equipment kit topology diagram, calculates the cumulative risk index, and generates a kit critical path list;

[0007] The equipment status quantitative assessment module calls the critical path list of the suite, obtains the number of times each piece of equipment in the list is used and the duration of environmental exposure, calculates the individual loss value of the equipment, and calculates the comprehensive health index of the suite based on the cumulative risk index of the path in the critical path list of the suite and the individual loss value of the equipment;

[0008] The risk transmission and early warning module monitors the individual equipment loss values ​​of equipment, compares them with the early warning threshold, and if it is determined to be exceeded, it traces back along the equipment's dependency path to obtain a set of high-risk associated equipment. The equipment in this high-risk associated equipment set is marked as mandatory inspection items. At the same time, the comprehensive health index of the suite is compared with the overall suite scrap threshold to generate suite maintenance operation instructions;

[0009] The equipment rotation and planning module receives the kit maintenance operation instruction, extracts the list of rope training equipment to be processed, formulates an equipment storage location adjustment plan, generates inspection tasks for the equipment that needs to be inspected in the kit maintenance operation instruction, generates purchase requisitions for the equipment that needs to be scrapped, and establishes an equipment life cycle operation plan.

[0010] Preferably, the steps of obtaining the critical path list of the kit are:

[0011] The administrator selects independent ropes, quickdraws, belay devices, and safety harnesses, sets up one-way connections for each pair of directly connected equipment nodes, and after determining the connection direction, defines a failure consequence severity score for each connected node, generating a topological diagram of the equipment suite.

[0012] Calculating a cumulative risk index of a path according to the equipment kit topology relationship diagram;

[0013] According to the cumulative risk index of each path, the paths are sorted from high to low, the paths with the top 50% cumulative risk index are selected, and the equipment connection sequences associated with the paths are summarized to form a critical path list of the kit.

[0014] Preferably, the steps for obtaining the individual equipment loss value are:

[0015] Based on the critical path list of the kit, read the number of each equipment therein, calculate the historical cumulative usage times, UV exposure time, humidity exposure time and temperature exposure time, and generate a set of equipment usage and environmental exposure information;

[0016] Based on the equipment usage and environmental exposure information set, the material type and usage condition level of each equipment are matched, the mechanical wear sensitivity coefficient and the sensitivity coefficients to ultraviolet light, humidity and temperature are extracted, and an equipment loss response coefficient table is generated;

[0017] Based on the equipment usage and environmental exposure information set and the equipment loss response coefficient table, the individual equipment loss value is calculated.

[0018] Preferably, the steps for obtaining the comprehensive health index of the kit are:

[0019] The comprehensive health index of the suite is calculated based on the cumulative risk index of the paths in the suite critical path list and the individual loss values ​​of the equipment.

[0020] Preferably, the steps of obtaining the high-risk associated equipment set are:

[0021] Read the individual equipment loss value of each piece of equipment one by one, compare the individual equipment loss value with the warning threshold of the corresponding equipment one by one, determine the equipment whose individual equipment loss value exceeds the warning threshold, and form an equipment loss exceeding threshold list for all equipment determined to have individual equipment loss values ​​exceeding the warning threshold;

[0022] Based on the equipment loss exceeding the threshold list, the equipment suite topology relationship diagram is called one by one, and the dependency path direction of each equipment in the equipment suite topology relationship diagram is analyzed. Starting from each equipment in the equipment loss exceeding the threshold list, the dependency path is traced back step by step in reverse, and all equipment identifiers that have a dependency relationship with the equipment in the equipment loss exceeding the threshold list are extracted. All equipment identifiers obtained by tracing back are deduplicated to form a set of high-risk associated equipment.

[0023] Preferably, the steps of obtaining the suite maintenance operation instruction are:

[0024] Based on the high-risk associated equipment set, all equipment in the set are marked as mandatory inspection items, and at the same time, the comprehensive health index of the suite is called, and the comprehensive health index of the suite is compared with the preset overall suite scrapping threshold. When the value of the comprehensive health index of the suite reaches or exceeds the overall suite scrapping threshold, a suite scrapping and replacement operation instruction is automatically generated; when the value of the comprehensive health index of the suite does not reach the overall suite scrapping threshold, a key maintenance operation instruction for the equipment in the mandatory inspection items is automatically generated to form a suite maintenance operation instruction.

[0025] Preferably, the steps for obtaining the equipment storage location adjustment plan are:

[0026] receiving the kit maintenance operation instruction, parsing the text description in the kit maintenance operation instruction item by item, identifying equipment marked as to be inspected and to be scrapped, extracting items belonging to rope training equipment item by item, and generating a list of rope training equipment to be processed;

[0027] Based on the list of rope training equipment to be processed, the existing equipment storage location map is compared one by one. According to factors such as the remaining capacity of the equipment storage space, the access operation frequency and the usage cycle, the target location of each piece of rope training equipment to be processed in the storage area is determined. The adjustment method and transportation route between the current position and the target location of each piece of equipment are described, and an equipment storage location adjustment plan is formulated.

[0028] Preferably, the steps for obtaining the equipment life cycle operation plan are:

[0029] Based on the equipment storage location adjustment plan, the inspection content, inspection method, inspection frequency and inspection tasks of the responsible person are formulated for each rope training equipment marked as to be inspected in the kit maintenance work instruction. At the same time, for each rope training equipment marked as to be scrapped, a purchase application including the equipment name, model, specification, quantity and expected purchase cycle is formulated. The inspection tasks, purchase applications and equipment storage location adjustment plan are integrated one by one to form an equipment life cycle operation plan.

[0030] Compared with the prior art, the advantages and positive effects of the present invention are:

[0031] In this invention, an administrator selects individual equipment, such as ropes, quickdraws, belay devices, and safety harnesses, to construct a topological diagram of the equipment suite with dependency directions. The diagram then identifies all path structures within the suite. By combining the dependency nodes within the paths with risk information, a cumulative risk index is calculated. This index is then used to form a critical path list for the suite, enabling subsequent data analysis to focus on the equipment paths that have the greatest impact on system safety. Based on the number of uses and environmental exposure duration of the equipment included in the critical path, individual equipment wear and tear values ​​are calculated. The composite relationship between equipment wear and path risk is then incorporated to quantitatively assess the suite's overall health index, providing a centralized representation of the system's status. When the wear and tear value reaches a warning threshold, the topological diagram is automatically retrieved to trace dependencies back along the equipment path, identifying high-risk equipment with structural links to risk diffusion and establishing a mandatory inspection scope. Furthermore, a linkage mechanism between the suite's overall health index and the scrap threshold allows for automatic triggering of maintenance or scrapping decisions, forming a comprehensive operational instruction flow. Furthermore, the rope training equipment to be processed is matched with existing stored data, a targeted relocation plan is developed, and inspection tasks and procurement requisitions are generated based on the equipment's status, forming an integrated lifecycle operational plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0034] See also Figure 1 The present invention provides a technical solution: a rope training equipment full life cycle management system comprising:

[0035] In the equipment kit structure definition module, the administrator selects independent ropes, quickdraws, belay devices, and safety belts, obtains the equipment kit topology diagram, identifies all dependent paths based on the equipment kit topology diagram, calculates the cumulative risk index, and generates a kit critical path list.

[0036] The equipment status quantitative assessment module calls the suite's critical path list, obtains the number of times each piece of equipment is used and the duration of its environmental exposure, calculates the individual equipment loss value, and then calculates the suite's comprehensive health index based on the cumulative risk index of the path in the suite's critical path list and the individual equipment loss value.

[0037] The risk transmission and early warning module monitors the individual equipment loss values ​​of equipment, compares them with the early warning threshold, and if it is determined to be exceeded, it traces back along the equipment's dependency path to obtain a set of high-risk associated equipment. The equipment in the high-risk associated equipment set is marked as mandatory inspection items. At the same time, the comprehensive health index of the suite is compared with the overall suite scrap threshold to generate suite maintenance operation instructions.

[0038] The equipment rotation and planning module receives kit maintenance work instructions, extracts a list of rope training equipment to be processed, formulates a plan for adjusting the equipment storage location, generates inspection tasks for equipment that needs to be inspected in the kit maintenance work instructions, generates purchase requisitions for equipment that needs to be scrapped, and establishes an equipment life cycle operation plan.

[0039] The steps to obtain the critical path list of the kit are:

[0040] The administrator selects independent ropes, quickdraws, belay devices, and safety harnesses, sets up one-way connections for each pair of directly connected equipment nodes, and after determining the connection direction, defines a failure consequence severity score for each connected node, generating a topological diagram of the equipment suite.

[0041] According to the equipment kit topology diagram, the cumulative risk index of the path is calculated using the following formula:

[0042] ;

[0043] in, For path The cumulative risk index, The first The severity score of the failure consequence of each equipment node, The first The material and working condition correction coefficient of each equipment node, For path The total number of equipment nodes included, is the risk transmission gain factor, The position number of the path node in the path (from starting point 1 to end point );

[0044] According to the cumulative risk index of each path, the paths are sorted from high to low, the paths with the top 50% cumulative risk index are selected, and the equipment connection sequences associated with the paths are summarized to form a critical path list of the kit.

[0045] Specifically, we select independent ropes, quickdraws, belay devices, and safety belts. We define the physical connection between them by drawing a connecting line between two nodes and specifying the direction of force transmission in the connection, for example, from "anchor point A" to "quickdraw B." This creates a directed edge in the graph. This direction defines the dependency of the equipment when carrying loads. Then, for each connected equipment node, we trigger a process to quantify the severity of its failure consequences. The calculation method is: ,in, The equipment role score is assigned based on its criticality in the safety system. For example, the main protection point is 10 points, the main rope is 9 points, the belayer is 8 points, and the backup equipment is 4 points. The failure consequence score is based on the degree of harm that may be caused to the user. For example, if the device falls to the ground, it is scored 10 points; if the device has a controlled impact or minor injury risk, it is scored 7 points; and if the device has no safety risk, it is scored 1 point. It stands for the main failure mode score, which is assessed based on the most likely failure type of the equipment. For example, complete breakage is 10 points, functional failure (such as rope slippage) is 6 points, and surface wear is 2 points. The weight coefficients in the formula (0.35, 0.45, 0.20) are based on a statistical analysis of more than 500 rope safety accident reports. The influence of each factor on the final accident severity is determined by regression analysis. For example, for a quickdraw as the main protection point, its role score is 10 points. If its main failure mode is the breakage of the hanging rope end, the failure mode score is 10 points. This failure will directly lead to a fall. The consequence score is 10 points, and the severity score of the failure consequence is ,After the calculation of the failure consequence severity scores of all ,nodes is completed, the system integrates all equipment nodes, the directed ,connection relationships between nodes and the failure consequence severity score of each ,node into a structured data object to generate an equipment kit ,topology relationship graph.

[0046] formula: The benefit of the formula is that by introducing the exponential term related to the node position , which can nonlinearly amplify the risk weight of equipment upstream in the force conduction path. The failure of an equipment close to a fixed anchor point will cause a more severe impact on all downstream equipment due to the energy release and impact force transmission compared to the failure of equipment close to the user. It can more accurately identify the links that play a decisive role in the safety of the entire system.

[0047] The first The failure consequence severity score of each equipment node is directly derived from the construction process of the equipment suite topology diagram in the previous step. It combines the role of the equipment in the system, the potential failure mode and the consequences of the failure on the user. The method of obtaining its value has been explained in detail in the previous step. For example, a quickdraw as a main protection point has a The value is calculated to be 10.0, and the The value is calculated to be 9.5.

[0048] The first The material and working condition correction coefficient of each equipment node reflects the influence of the equipment material itself and the environmental working conditions on its failure probability. The calculation formula is: ,in It is a basic risk factor determined by the main material of the equipment. For example, Nylon is 1.1, Dyneema is 1.0, 7075 aluminum alloy is 0.9, and stainless steel is 0.8. It is The risk weights of various working condition factors are assessed by experts based on a large amount of experimental data. For example, the weight of temperature is 0.3, the weight of humidity is 0.4, and the weight of ultraviolet exposure intensity is 0.3. It is the real-time working condition data collected from on-site environmental sensors. is the standard reference value for this working condition. is the normal fluctuation range of the working condition parameters. For example, for a nylon main rope ( ), the current ambient temperature is 35℃ (standard value is 20℃, range is 50℃), the humidity is 85% (standard value is 50%, range is 100%), and the UV index is 8 (standard value is 3, range is 12). The values ​​are: .

[0049] For path The total number of equipment nodes included. This parameter is obtained directly by traversing the specified path in the equipment kit topology diagram and counting the nodes. For example, a path from "anchor point" to "safety belt" passes through "anchor point", "main lock", "quick draw", "rope", "protector", and "safety belt" in sequence. The value is 6.

[0050] The risk conduction gain factor quantifies the amplification effect of risk when it is transmitted downstream in the equipment chain. Its value is determined based on multiple dynamic impact tests on different equipment combinations. In the experiment, the ratio of the instantaneous impact load to the static rated load borne by the downstream adjacent equipment when the upstream equipment breaks is measured by sensors. A large number of experimental data points are statistically analyzed, and the 95th percentile value of their distribution is taken as To ensure the conservativeness and safety of the assessment, the value of A value of 1.20 means that each time risk is transmitted, its impact increases by 20%.

[0051] is the position number of the path node in the path, counting from the starting point of force conduction (such as the anchor point). .

[0052] Calculation process:

[0053] A protection path consists of 4 nodes: anchor point → quick draw → rope → safety belt, so .

[0054] According to the above method, the specific values ​​of each parameter are obtained as follows:

[0055] Node 1 (anchor point): Failure consequence severity score , material and working condition correction coefficient (Made of stainless steel, in good working condition).

[0056] Node 2 (Quick-Drop): Failure Consequence Severity Score , material and working condition correction coefficient (Made of aluminum alloy, with slight wear).

[0057] Node 3 (Rope): Failure Consequence Severity Score , material and working condition correction coefficient (Nylon material, in high temperature and high humidity environment).

[0058] Node 4 (Seat Belt): Failure Consequence Severity Score , material and working condition correction coefficient (Nylon material, normal use conditions).

[0059] Risk transmission gain factor .

[0060] Substitute into the formula for calculation:

[0061] ;

[0062] ;

[0063] ;

[0064] ;

[0065] ;

[0066] The results show that the cumulative risk index of this specific path is 56.776. This value comprehensively reflects the inherent risks of each equipment in the path, the impact of current working conditions, and the transmission and amplification effect of risks in the chain.

[0067] Based on the cumulative risk index of each path calculated in the previous step, the system first compiles all paths and their corresponding cumulative risk index values ​​into a list. For example, a data set containing 42 paths, including path one (cumulative risk index 56.776), path two (cumulative risk index 48.123), and path three (cumulative risk index 65.221), is then processed and sorted in descending order according to the cumulative risk index value, ensuring that the path with the highest risk is at the top of the list. After the sorting is completed, the system performs a filtering operation and selects the top 50% of the paths with the cumulative risk index. This 50% threshold is set based on historical safety data and the results of failure mode and effects analysis (FMEA). The analysis shows that in complex rope systems, about half of the high-risk paths contribute more than 85% of the total system risk. Therefore, selecting the top 50% can achieve the best input-output ratio, covering most of the key risk sources while avoiding over-analysis of low-risk paths. In the example of 42 paths, the system will select the highest-ranked path. After the selection operation is completed, the system traverses these 21 high-risk paths and extracts the equipment connection sequence that constitutes each path one by one. This sequence is an ordered list containing the unique identifier of the equipment, which records in detail the order of force transmission from the starting point to the end point. For example, a path may be recorded as ["ANCHOR_01", "QD_11", "ROPE_03", "HARNESS_05"]. The system aggregates all extracted path sequences into a set and deduplicates them, finally forming a structured data object, namely the kit critical path list.

[0068] The steps to obtain the individual equipment loss value are as follows:

[0069] Based on the critical path list of the kit, read each equipment number, calculate the historical cumulative usage times, UV exposure time, humidity exposure time and temperature exposure time, and generate a set of equipment usage and environmental exposure information;

[0070] Based on the collection of equipment usage and environmental exposure information, the material type and usage condition level of each equipment are matched, the mechanical wear sensitivity coefficient and the sensitivity coefficients to ultraviolet light, humidity and temperature are extracted, and an equipment loss response coefficient table is generated;

[0071] Based on the equipment usage and environmental exposure information set and the equipment loss response coefficient table, the individual equipment loss value is calculated using the following formula:

[0072] ; ;

[0073] in, For the The individual equipment loss value of each piece of equipment, For the The cumulative number of times a piece of equipment is used, For the Mechanical wear sensitivity coefficient of each equipment, For the The duration of UV exposure of each device, For the The humidity exposure time of each equipment, For the The temperature exposure time of each device, 、 、 Respectively The sensitivity coefficient of each equipment material to ultraviolet rays, humidity and temperature, For the The environmental cumulative damage factor of each piece of equipment.

[0074] Specifically, based on the critical path list of the suite generated in the previous step, the system first summarizes and deduplicates the equipment contained in all paths in the list to form a unique equipment list to be analyzed. For each equipment number in this list, the system starts a data traceability program, which obtains historical data of the entire life cycle by accessing the digital twin record of the equipment. The statistics of the historical cumulative number of uses rely on the automatic scanning of the radio frequency identification (RFID) tags bound to the equipment at the beginning and end of each training. The system records each paired scan of "outbound" and "inbound" as a valid use and accumulates the total number of times. The exposure time data of ultraviolet rays, humidity and temperature comes from the Internet of Things environmental monitoring terminals deployed in equipment storage warehouses and major training grounds. These terminals collect data every 10 minutes. The data is uploaded to the central server. When calculating the exposure time, the system does not simply accumulate the time, but performs a weighted calculation. For example, the humidity exposure time only accumulates the time period when the relative humidity is continuously higher than 75%RH, and the temperature exposure time accumulates the time when the ambient temperature is lower than 5°C and higher than 40°C respectively. The ultraviolet exposure time is converted by multiplying the actual exposure time by a normalization factor based on the ultraviolet index (UVI). The specific calculation is to divide the collected UVI value by a standard UVI benchmark value (for example, UVI=5). Finally, the system will generate a data record containing four key indicators (cumulative number of uses, weighted ultraviolet exposure time, weighted humidity exposure time, and weighted temperature exposure time) for each equipment number. All these records together constitute a collection of equipment usage and environmental exposure information.

[0075] According to the equipment usage and environmental exposure information set generated in the previous step, the system processes each equipment record, and links it to the background equipment information master database through the equipment number, from which the factory material type of the equipment is accurately matched, such as "polyamide 6.6 (PA6.6)", "7075-T6 aluminum alloy" or "316 stainless steel". At the same time, based on the usage and environmental data in the set, the system assesses the current usage condition level of each equipment. The level is divided into three grades: level one (mild), level two (moderate), and level three (severe). The assessment rules are as follows: if the cumulative number of times the equipment is used and the duration of any environmental exposure are lower than the 50th percentile of the historical data distribution of similar equipment, it is assessed as level one; if any indicator is between the 50th and 85th percentiles, it is assessed as level two; if any indicator is between the 50th and 85th percentiles, it is assessed as level two. If the mark exceeds the 85th percentile, it is rated as level three. After completing the matching and rating, the system calls a preset "loss response coefficient query library" to extract the corresponding sensitivity coefficient. The library is based on a large amount of material science research and accelerated aging test data. Among them, the mechanical wear sensitivity coefficient is obtained by conducting standardized cyclic load tests on samples of the same material at different working conditions and measuring their strength attenuation rate. The sensitivity coefficients to ultraviolet rays, humidity and temperature are quantified by analyzing the performance degradation rate of the material under different environmental factors. Finally, the system extracts a complete set of loss response coefficients for each equipment in the list (including mechanical wear sensitivity coefficients and sensitivity coefficients to ultraviolet rays, humidity and temperature), and binds these coefficients to the equipment number to generate an equipment loss response coefficient table.

[0076] formula: ; , the formula is useful in that: through the exponential function Constructed environmental cumulative damage factor , which can capture the accelerated degradation effect of environmental factors on material properties, especially the synergistic effect of multiple environmental factors (ultraviolet rays, temperature and humidity). Finally, the formula is multiplied by The interactive coupling effect between mechanical wear and environmental damage is introduced, that is, equipment that has been corroded by the environment will produce additional losses when subjected to mechanical stress.

[0077] For the The cumulative number of times a piece of equipment is used is automatically accumulated by the system based on the RFID scanning records and is directly read from the equipment use and environmental exposure information set generated in the previous steps. For example, for a rope numbered "ROPE-007", the system records that it has been used 250 times. .

[0078] For the The mechanical wear sensitivity coefficient of each piece of equipment reflects the inherent sensitivity of the equipment material to mechanical wear. Its value is extracted from the equipment loss response coefficient table. The values ​​in the table are calibrated based on standardized wear tests. The specific calibration process is: apply 1000 standard cycle loads to the new equipment sample and measure the ratio of its residual strength to the initial strength (strength retention rate). ), then the coefficient By formula Calculation shows that, for example, after 1000 cycles, the strength retention rate of a nylon rope sample is 65% ( ), then its mechanical wear sensitivity coefficient is Here, take .

[0079] For the The UV exposure duration of each device is weighted and is obtained from the set of equipment usage and environmental exposure information. It is calculated by integrating and normalizing the UV index (UVI) of all exposure periods. The formula is: ,in is the duration of a single exposure (hours), is the average UV index during the period, The reference value is 5. For example, if a piece of equipment is exposed to an environment with a UVI of 8 for 50 hours and an environment with a UVI of 4 for 100 hours, then .

[0080] For the The humidity exposure time of each equipment refers to the cumulative exposure hours of the equipment in an environment with a relative humidity (RH) exceeding 75%, which is directly read from the equipment usage and environmental exposure information set. For example, according to statistics, the cumulative high humidity exposure time of ROPE-007 is 400 hours, then .

[0081] For the The temperature exposure time of a device refers to the cumulative exposure of the device to an environment outside the normal temperature range (5℃-40℃), the unit is "degree·hour", and the calculation formula is: ,in For example, if the equipment is exposed to 45℃ for 20 hours and -5℃ for 10 hours, then .

[0082] 、 、 Respectively The sensitivity coefficients of each equipment material to ultraviolet light, humidity, and temperature are extracted from the equipment loss response coefficient table. The values ​​are derived from the accelerated aging test of the material and reflect the performance degradation rate caused by the unit environmental exposure. For ROPE-007 made of nylon, the coefficient values ​​are: , , .

[0083] For the The environmental cumulative damage factor of each piece of equipment is an intermediate variable calculated based on environmental exposure data and sensitivity coefficient.

[0084] Calculation process:

[0085] For the nylon rope numbered "ROPE-007", substitute the parameter values ​​obtained above:

[0086] , , , , , , , .

[0087] The first step is to calculate the environmental cumulative damage factor :

[0088] ;

[0089] ;

[0090] ;

[0091] ;

[0092] ;

[0093] The second step is to calculate the individual loss value of equipment :

[0094] ;

[0095] ;

[0096] ;

[0097] ;

[0098] ;

[0099] ;

[0100] The results show that the equipment individual loss value of the rope numbered "ROPE-007" is 1.4309.

[0101] The steps to obtain the comprehensive health index of the kit are:

[0102] Based on the cumulative risk index of the paths in the kit critical path list and the individual equipment loss value, the comprehensive health index of the kit is calculated using the following formula:

[0103] ;

[0104] in,

[0105] ;

[0106] in, is the comprehensive health index of the suite, For the The comprehensive risk score of each path, For the The comprehensive risk score of each path, For the The cumulative risk index of the path, For the The number of equipment contained in the path, For the The first path The individual equipment loss value of each piece of equipment, is the loss exponential amplification parameter, For the The ratio of the comprehensive score of each path to the total score of all paths. is the total number of paths, is the suite risk entropy, is the risk distribution penalty factor.

[0107] Specifically, the formula: ,in, , .

[0108] The benefits of the formula are: it builds a two-dimensional suite health assessment model, which not only The project captures the instantaneous status of the highest risk path (i.e., the weakest link) following the "barrel effect" and also introduces the "suite risk entropy" in information theory ( ) item, which quantifies the uniformity or concentration of risk distribution within the entire suite. This design avoids the flaw of traditional assessment methods that only focus on a single point of highest risk while ignoring the accumulation of low and medium risks at multiple points. When risks are highly concentrated on a few paths, the risk entropy is low and the penalty is small; however, when risks are dispersed across multiple paths, forming a complex situation where "hidden dangers are everywhere", the risk entropy increases and the penalty is high. As a result, the overall health index increases, prompting managers to carry out more comprehensive maintenance.

[0109] For the The comprehensive risk score of each path.

[0110] For the The cumulative risk index of each path is obtained directly from the calculation results of the previous step. It quantifies the inherent risk of a specific force transmission path, including the role of the equipment, the consequences of failure, and the transmission effect of the risk in the chain. For example, in the previous calculation, the cumulative risk index of path 1 is .

[0111] For the The number of equipment contained in a path. This parameter is determined when building the equipment kit topology diagram and can be read directly from the kit key path list. For example, if path 1 contains 4 equipment, then .

[0112] For the The first path The equipment individual loss value of each piece of equipment is calculated using the above formula and quantifies the cumulative damage caused by use and environmental exposure of a single piece of equipment. For example, the equipment individual loss value of the rope (the third piece of equipment) in path 1 has been calculated to be .

[0113] is the loss index amplification parameter, which is used to nonlinearly amplify the impact of the average path loss on the path comprehensive risk score. Its value is set based on the regression analysis of historical equipment failure data. The value is used to fit the risk growth curve predicted by the model with the actual observed accelerated degradation process of equipment from initial loss to final failure to achieve the best prediction effect. By conducting destructive tests on more than 300 sets of equipment with different loss levels and fitting them with the model, the risk growth curve is determined. When the value is 1.8, the prediction error of the model is the smallest, so it is set here .

[0114] For the The ratio of the comprehensive score of a path to the total score of all paths is a necessary input for calculating risk entropy.

[0115] The total number of paths refers to the total number of paths included in the critical path list of the kit.

[0116] The risk entropy of the suite is calculated using the Shannon entropy formula and is used to measure the uncertainty or confusion of the risk distribution of each path within the suite.

[0117] is the risk distribution penalty factor, which is an adjustment coefficient set according to the risk management strategy. It is used to adjust the weight of risk entropy in the final health index. Its value is determined by referring to the organization's preference for risk type. If the management strategy focuses on solving the most prominent problems, then The value is low, such as 15; if the strategy focuses more on systemic risk and prevents problems from occurring at multiple points at the same time, then The value is higher, such as 40. Here, according to the principle of giving priority to systemic risks, .

[0118] Calculation process:

[0119] Based on the suite's critical path list, select the three paths with the highest risk (i.e. ) for calculation.

[0120] Path 1: , , and the individual equipment loss values ​​are: , , , .

[0121] Path 2: , , and their individual equipment loss values ​​are: , , , , .

[0122] Path 3: , , and their individual equipment loss values ​​are: , , , .

[0123] The first step is to calculate the comprehensive risk score of each path :

[0124] For path 1:

[0125] Average loss = ;

[0126] ;

[0127] For path 2:

[0128] Average loss = ;

[0129] ;

[0130] For path 3:

[0131] Average loss = ;

[0132] ;

[0133] Step 2: Calculate the risk entropy of the package :

[0134] Total Risk Score = ;

[0135] Calculate the score ratio of each path :

[0136] ;

[0137] ;

[0138] ;

[0139] Calculate risk entropy:

[0140] ;

[0141] ;

[0142] ;

[0143] Step 3: Calculate the comprehensive health index of the suite :

[0144] ;

[0145] ;

[0146] ;

[0147] The results show that the comprehensive health index of the rope training equipment kit is 95.86.

[0148] The steps to obtain the high-risk associated equipment set are:

[0149] Read the individual equipment loss value of each piece of equipment one by one, compare the individual equipment loss value with the warning threshold of the corresponding equipment one by one, determine the equipment whose individual equipment loss value exceeds the warning threshold, and form an equipment loss exceeding threshold list for all equipment determined to have individual equipment loss values ​​exceeding the warning threshold;

[0150] Based on the equipment loss exceeding the threshold list, the equipment suite topology relationship diagram is called one by one, and the dependency path direction of each equipment in the equipment suite topology relationship diagram is analyzed. Starting from each equipment in the equipment loss exceeding the threshold list, the dependency path is traced back step by step in reverse, and all equipment identifiers that have a dependency relationship with the equipment in the equipment loss exceeding the threshold list are extracted. All equipment identifiers obtained by tracing back are deduplicated to form a set of high-risk associated equipment.

[0151] Specifically, the system reads the previously calculated individual equipment loss value of each piece of equipment one by one, and executes a judgment loop for each record. In the loop, the system first queries and extracts its exclusive warning threshold from a preset "equipment warning threshold database" according to the type and material of the currently processed equipment (such as "nylon rope" or "aluminum alloy quick draw"). The setting of this warning threshold is not based on a single experience, but is established through systematic accelerated aging and destructive testing of equipment of the same type and material. The specific process is: conduct accelerated aging experiments on at least 30 new equipment samples of the same batch to achieve different individual equipment loss values, then conduct destructive tensile tests on all samples, record their residual strength, establish a functional relationship between the individual equipment loss value and the residual strength through regression analysis, and reduce the residual strength to the initial standard The individual equipment loss value corresponding to 75% of the initial strength is defined as the warning threshold for this type of equipment. For example, for a certain type of nylon rope, experiments show that when its individual equipment loss value reaches 2.5, its remaining strength is approximately 75% of the initial strength, so its warning threshold is set to 2.5. For a certain type of aluminum alloy quick draw, its corresponding warning threshold may be 1.8. The system will read the individual equipment loss value, such as 1.9, and compare it with the corresponding warning threshold of 1.8 queried from the database. If the individual equipment loss value is greater than or equal to its warning threshold (1.9 ≥ 1.8), the equipment is judged to have triggered an early warning, and its unique equipment number is added to a temporary list. This process will traverse all registered equipment and eventually summarize all equipment numbers that are judged to have exceeded the warning threshold to form a list of equipment loss exceeding the threshold.

[0152] Based on the equipment loss exceeding threshold list generated in the previous step, the system starts a risk association tracing program. The program first initializes an empty set data structure to store the final results and automatically handle duplicates. Then, the program processes each equipment identifier in the equipment loss exceeding threshold list one by one. For example, the first equipment "QD-25" is taken out from the list. The system then calls the equipment kit topology relationship diagram constructed in the initial stage. The diagram is a directed graph that accurately describes the force conduction and dependency relationship between all equipment in the kit. The program locates the node corresponding to "QD-25" in the diagram and starts from this node to execute a reverse breadth-first search (BFS) algorithm. This algorithm searches for all upstream nodes pointing to the "QD-25" node by querying the adjacency list or adjacency matrix of the graph. These upstream nodes represent equipment that directly supports "QD-25" on the force conduction path. For example, the program may find that the node "A "ANCHOR-08" has a directed edge pointing to "QD-25", so the program adds the identifier of "ANCHOR-08" to the result set and puts it into a queue to be processed. Then, the program takes "ANCHOR-08" from the queue and continues to trace back all upstream nodes pointing to it, and adds the newly discovered nodes to the result set and queue. This process is performed recursively until the queue is empty, that is, the starting point of the dependent path is traced back. After completing the backtracking of "QD-25", the program takes the next equipment identifier from the equipment loss exceeding the threshold list and repeats the above reverse breadth-first search process. All equipment identifiers found during the backtracking process are added to the same result set. After all equipment in the list are processed, this set contains all upstream equipment that directly or indirectly supports any equipment with loss exceeding the threshold. The system solidifies this deduplicated set to form a high-risk associated equipment set.

[0153] The steps to obtain the package maintenance job instructions are as follows:

[0154] Based on the set of high-risk associated equipment, all equipment in the set are marked as mandatory inspection items. At the same time, the comprehensive health index of the suite is called, and the comprehensive health index of the suite is compared with the preset overall suite scrap threshold. When the value of the comprehensive health index of the suite reaches or exceeds the overall suite scrap threshold, the suite scrap replacement operation instruction is automatically generated; when the value of the comprehensive health index of the suite does not reach the overall suite scrap threshold, the key maintenance operation instruction for the equipment in the mandatory inspection items is automatically generated to form the suite maintenance operation instruction.

[0155] Specifically, based on the high-risk associated equipment set formed in the previous step, the system first extracts the identifiers of all equipment in the set and updates the status of these equipment to "mandatory inspection" in the equipment information database. This flag will trigger the subsequent maintenance and planning process. Next, the system calls the previously calculated comprehensive health index of the suite, such as 95.86, and compares it with a preset overall suite scrapping threshold. The setting of this threshold is based on statistical analysis of a large amount of historical data and simulation data, and is determined by establishing a relationship model between the comprehensive health index of the suite and the probability of systematic failure. When the analysis results of the model show that the comprehensive health index of the suite reaches a certain value, the probability of cascading failure of the entire suite within a future standard usage cycle (such as 50 uses) exceeds the acceptable safety upper limit (such as 0.01%). , then this value is defined as the threshold for the overall scrapping of the suite. For example, through Monte Carlo simulation, the threshold is determined to be 250. The system performs a comparison operation. If the current suite comprehensive health index of 95.86 does not reach the threshold of 250, the system will execute the preset maintenance process and automatically generate a key maintenance operation instruction for the equipment marked as "mandatory inspection". The instruction is structured data, including the instruction number, instruction type (key maintenance), a list of equipment to be inspected, and its detailed inspection items and standards. If the suite comprehensive health index reaches or exceeds the suite's overall scrapping threshold, the system will generate a suite scrapping and replacement operation instruction. The instruction will clearly require the overall scrapping of all equipment in the suite and initiate the process of purchasing a new suite. Ultimately, no matter what the situation is, the system will record the generated instruction to form a suite maintenance operation instruction.

[0156] The steps to obtain the equipment storage location adjustment plan are as follows:

[0157] Receive a kit maintenance operation instruction, parse the text description in the kit maintenance operation instruction item by item, identify equipment marked as pending inspection and to be scrapped, extract items belonging to rope training equipment one by one, and generate a list of rope training equipment to be processed;

[0158] Based on the list of rope training equipment to be processed, the existing equipment storage location maps are compared one by one. According to factors such as the remaining capacity of the equipment storage space, the frequency of access operations and the usage cycle, the target location of each piece of rope training equipment to be processed in the storage area is determined. The adjustment method and transportation route between the current position and the target position of each piece of equipment are described, and an equipment storage location adjustment plan is formulated.

[0159] Specifically, the kit maintenance operation instruction generated in the previous step is received, and an instruction parsing program is started. The program first applies the keyword matching technology in natural language processing to scan the structured data fields of the instruction, especially the instruction type field and the additional information field, to identify the core verbs and nouns. For example, the program will look for keywords such as "key maintenance", "scrap replacement", "to be inspected", "to be scrapped", and equipment-related nouns such as "rope", "quick draw", and "protector". Through the preset vocabulary and rules, the system classifies each equipment item in the instruction as "to be inspected" or "to be scrapped". At the same time, the system will call the equipment information master database to perform secondary verification on all items involved in the instruction. The system then uses the equipment type field to filter out equipment that clearly falls into the rope training category, while filtering out other auxiliary tools or non-critical items that may be included in the instruction. For example, if the instruction contains "Wrench-01 (to be inspected)", the system will exclude it based on its type "tool", while retaining "Main Rope-07 (to be inspected)" and "Safety Belt-03 (to be scrapped)". The unique equipment numbers of all screened and classified rope training equipment items will be extracted one by one and stored in a temporary data structure along with their processing status (to be inspected or to be scrapped). Finally, this collection of equipment numbers and processing statuses is sorted and output to generate a list of rope training equipment to be processed.

[0160] Based on the list of pending rope training equipment generated in the previous step, the system initiates a storage location optimization program. This program first calls a real-time, three-dimensional visualization of the equipment storage location map. This map stores the layout, dimensions, and current occupancy status of all shelves and storage boxes in the storage area. For each piece of pending rope training equipment on the list, the program first queries its current coordinates in the storage location map. The program then executes different logic based on the equipment's processing status (pending inspection or pending scrapping). For equipment marked "pending inspection", the system calculates an "accessibility" score for it. This score combines the equipment's historical access frequency and the frequency of its use in the training plan for the next week. The score is calculated as follows: ,in is the average daily number of deposits and withdrawals over the past 30 days. The number of planned uses over the next seven days is normalized. The system searches for a target location within all available spaces within the storage area that satisfies an "accessibility" score greater than 0.8 (highly used) and is physically closest to the inspection workbench. For equipment marked "to be scrapped," the system searches for a vacant location within a specially designated "temporary storage area for scrapping" located at the edge of the storage area. After determining the target locations for all equipment, the system uses the A* (A-star) pathfinding algorithm to plan an optimal transport route from the current location to the target location for each piece of equipment within the three-dimensional storage location map. This route avoids obstacles and prioritizes the widest aisles. Finally, the system integrates each piece of equipment's serial number, current location, target location, recommended relocation method (such as "manual transport" or "using a small cart"), and a detailed transport route description (such as "from the second floor of shelf 3 in area A, proceed north along the main aisle for 5 meters, turn left into area C, and place in temporary storage box No. 1") to formulate an equipment storage relocation plan.

[0161] The steps to obtain equipment life cycle operation planning are:

[0162] Based on the equipment storage location adjustment plan, the inspection content, inspection method, inspection frequency and inspection tasks of the responsible person are formulated item by item for the rope training equipment marked as to be inspected in the kit maintenance work instructions. At the same time, for the rope training equipment marked as to be scrapped, a purchase application including the equipment name, model, specification, quantity and expected purchase cycle is formulated item by item. The inspection tasks, purchase applications and equipment storage location adjustment plan are integrated one by one to form an equipment life cycle operation plan.

[0163] Specifically, based on the equipment storage location adjustment plan formulated in the previous step, the system starts a comprehensive work planning program, which first traverses the processing status of all equipment in the plan. For rope training equipment marked as "to be inspected", the system calls a preset "standard inspection operating procedure library", which is established based on the official guidelines of the equipment manufacturer and industry best practices. The system matches and extracts detailed inspection content from the library according to the type of equipment (such as power rope, static rope, quick draw) and model. For example, the inspection of the power rope includes "visual inspection of the rope skin for signs of wear, fuzzing, cutting or chemical corrosion", "touch inspection of the rope core for lumps, hollowness or abnormal changes in diameter", and clarifies the inspection method (such as "inspection meter by meter under good light"), sets the inspection frequency ("this is a mandatory immediate inspection"), and automatically checks the rope according to the preset schedule and qualification requirements. Assign a qualified equipment inspector as the responsible person to generate a detailed inspection task for each piece of equipment to be inspected. For rope training equipment marked as "to be scrapped", the system automatically triggers the procurement process. By querying the equipment information master database, it extracts complete information about the equipment, including the precise equipment name, model, specifications (such as rope diameter and length), and the quantity to be purchased (usually 1). Combined with the data in the supplier information database, it estimates the expected procurement cycle (such as "15 working days") and integrates this information into a standard procurement application. Finally, the system associates and integrates all generated inspection tasks, procurement applications, and equipment storage location adjustment plans one by one, and arranges them in a logical order of execution (adjust the location first, then perform inspection or handle scrapping) to form a comprehensive and executable equipment life cycle operation plan.

Claims

1. A rope training equipment full life cycle management system, characterized in that: The system comprises: In the equipment kit structure definition module, the administrator selects independent ropes, quickdraws, belay devices, and safety belts, obtains an equipment kit topology diagram, identifies all dependent paths based on the equipment kit topology diagram, calculates the cumulative risk index, and generates a kit critical path list; The equipment status quantitative assessment module calls the critical path list of the suite, obtains the number of times each piece of equipment in the list is used and the duration of environmental exposure, calculates the individual loss value of the equipment, and calculates the comprehensive health index of the suite based on the cumulative risk index of the path in the critical path list of the suite and the individual loss value of the equipment; The risk transmission and early warning module monitors the individual equipment loss values ​​of equipment, compares them with the early warning threshold, and if it is determined to be exceeded, it traces back along the equipment's dependency path to obtain a set of high-risk associated equipment. The equipment in this high-risk associated equipment set is marked as mandatory inspection items. At the same time, the comprehensive health index of the suite is compared with the overall suite scrap threshold to generate suite maintenance operation instructions; An equipment rotation and planning module receives the kit maintenance work order, extracts a list of rope training equipment to be processed, formulates an equipment storage location adjustment plan, generates inspection tasks for equipment that needs to be inspected in the kit maintenance work order, generates purchase requisitions for equipment that needs to be scrapped, and establishes an equipment lifecycle operation plan; The steps for obtaining the individual equipment loss value are as follows: Based on the critical path list of the kit, read the number of each equipment therein, calculate the historical cumulative usage times, UV exposure time, humidity exposure time and temperature exposure time, and generate a set of equipment usage and environmental exposure information; Based on the equipment usage and environmental exposure information set, the material type and usage condition level of each equipment are matched, the mechanical wear sensitivity coefficient and the sensitivity coefficients to ultraviolet light, humidity and temperature are extracted, and an equipment loss response coefficient table is generated; Based on the equipment usage and environmental exposure information set and the equipment loss response coefficient table, the individual equipment loss value is calculated using the following formula: ； ； in, For the The individual equipment loss value of each piece of equipment, For the The cumulative number of times a piece of equipment is used, For the Mechanical wear sensitivity coefficient of each equipment, For the UV exposure time of each device, For the The humidity exposure time of each equipment, For the The temperature exposure time of each device, 、 、 Respectively The sensitivity coefficient of each equipment material to ultraviolet rays, humidity and temperature, For the The environmental cumulative damage factor of each piece of equipment.

2. The rope training equipment full life cycle management system according to claim 1, characterized in that: The steps for obtaining the critical path list of the suite are: The administrator selects independent ropes, quickdraws, belay devices, and safety harnesses, sets up one-way connections for each pair of directly connected equipment nodes, and after determining the connection direction, defines a failure consequence severity score for each connected node, generating a topological diagram of the equipment suite. According to the equipment kit topology diagram, the cumulative risk index of the path is calculated using the following formula: ； in, For path The cumulative risk index, The first The severity score of the failure consequence of each equipment node, The first The material and working condition correction coefficient of each equipment node, For path The total number of equipment nodes included, is the risk transmission gain factor, is the position sequence number of the path node in the path; According to the cumulative risk index of each path, the paths are sorted from high to low, the paths with the top 50% cumulative risk index are selected, and the equipment connection sequences associated with the paths are summarized to form a critical path list of the kit.

3. The rope training equipment full life cycle management system according to claim 1, characterized in that: The steps for obtaining the comprehensive health index of the kit are as follows: The comprehensive health index of the suite is calculated based on the cumulative risk index of the paths in the suite critical path list and the individual loss values ​​of the equipment.

4. The rope training equipment full life cycle management system according to claim 1, characterized in that: The steps for obtaining the high-risk associated equipment set are: Read the individual equipment loss value of each piece of equipment one by one, compare the individual equipment loss value with the warning threshold of the corresponding equipment one by one, determine the equipment whose individual equipment loss value exceeds the warning threshold, and form an equipment loss exceeding threshold list for all equipment determined to have individual equipment loss values ​​exceeding the warning threshold; Based on the equipment loss exceeding the threshold list, the equipment suite topology relationship diagram is called one by one, and the dependency path direction of each equipment in the equipment suite topology relationship diagram is analyzed. Starting from each equipment in the equipment loss exceeding the threshold list, the dependency path is traced back step by step in reverse, and all equipment identifiers that have a dependency relationship with the equipment in the equipment loss exceeding the threshold list are extracted. All equipment identifiers obtained by tracing back are deduplicated to form a set of high-risk associated equipment.

5. The rope training equipment full life cycle management system according to claim 1, characterized in that: The steps for obtaining the suite maintenance operation instruction are as follows: Based on the high-risk associated equipment set, all equipment in the set is marked as mandatory inspection items. At the same time, the comprehensive health index of the suite is called and the comprehensive health index of the suite is compared with the preset suite overall scrap threshold. When the value of the comprehensive health index of the suite reaches or exceeds the suite overall scrap threshold, a suite scrap replacement operation instruction is automatically generated; When the value of the comprehensive health index of the kit does not reach the overall scrap threshold of the kit, key maintenance work instructions for the equipment within the mandatory inspection items are automatically generated to form kit maintenance work instructions.

6. The rope training equipment full life cycle management system according to claim 1, characterized in that: The steps for obtaining the equipment storage location adjustment plan are: receiving the kit maintenance operation instruction, parsing the text description in the kit maintenance operation instruction item by item, identifying equipment marked as to be inspected and to be scrapped, extracting items belonging to rope training equipment item by item, and generating a list of rope training equipment to be processed; Based on the list of rope training equipment to be processed, the existing equipment storage location map is compared one by one. According to the remaining capacity of the equipment storage space, the access operation frequency and the usage cycle, the target location of each piece of rope training equipment to be processed in the storage area is determined. The adjustment method and transportation route between the current position and the target location of each piece of equipment are described, and an equipment storage location adjustment plan is formulated.

7. The rope training equipment full life cycle management system according to claim 1, characterized in that: The steps for obtaining the equipment life cycle operation plan are as follows: Based on the equipment storage location adjustment plan, the inspection content, inspection method, inspection frequency and inspection tasks of the responsible person are formulated for each rope training equipment marked as to be inspected in the kit maintenance work instruction. At the same time, for each rope training equipment marked as to be scrapped, a purchase application including the equipment name, model, specification, quantity and expected purchase cycle is formulated. The inspection tasks, purchase applications and equipment storage location adjustment plan are integrated one by one to form an equipment life cycle operation plan.

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