A computer rental process equipment maintenance method and system

Abstract

The application discloses a computer lease process equipment maintenance method and system, and belongs to the technical field of computer lease equipment maintenance. In view of the problems that the returned computer exists in a deposition blocking state and the conventional rough inspection sequence cannot reflect the influence of the waiting process on the maintenance recovery capability, the initial maintenance sequence and the planned waiting time length of the target equipment are determined, the historical samples matched with the equipment background, the returned transportation condensation exposure condition and the deposition blocking state of the target equipment are screened from a historical maintenance database, the waiting time length and the maintenance recovery representation quantity of each sample are obtained, the change trend of the maintenance recovery representation quantity with the increase of the waiting time length is analyzed, and the waiting time length limit corresponding to the stable transition to the decline is determined; when the planned waiting time length exceeds the limit, the maintenance sequence is adjusted, so that the target equipment starts maintenance within the limit. The application can reduce the decline of the maintenance recovery capability caused by too long waiting, and improve the batch maintenance and the turnover efficiency of the returned computer.

Description

Technical Field

[0001] This invention belongs to the field of computer rental equipment maintenance technology, and particularly relates to a method and system for maintaining computer rental equipment. Background Technology

[0002] With the development of the computer leasing business, a large number of computer devices need to be collected from different rental locations after the completion of a phase of leasing, and then transported back to the maintenance point via return-leaseback transportation. Due to limitations in the number of maintenance workstations, maintenance personnel, and equipment, the same batch of returned equipment usually needs to undergo a preliminary inspection first, and then the maintenance sequence is determined based on factors such as the degree of failure, the estimated maintenance time, and subsequent leasing needs, resulting in different waiting times for different equipment after arriving at the maintenance point.

[0003] For leased computers with heat dissipation structure blockages, existing maintenance prioritization typically focuses on the current fault state upon arrival, while insufficiently considering the impact of leaseback transportation and subsequent waiting periods on maintenance outcomes. Equipment in the same batch often experiences similar transport temperature and humidity environments; therefore, when such environmental factors are directly used for maintenance priority evaluation, their ability to differentiate between equipment within the same batch is limited. However, different equipment exhibits different blockage states due to previous lease usage, and after different waiting times under the same transport background, they may show varying degrees of recovery when performing the same maintenance operation.

[0004] Therefore, determining the maintenance sequence solely based on the equipment status at the time of the preliminary inspection may result in some equipment with less severe current faults but whose maintenance recovery capabilities are highly sensitive to waiting time being scheduled too late, thereby increasing repetitive cleaning, deep maintenance, and maintenance workstation occupancy. How to identify the time boundaries where maintenance recovery capabilities significantly change with waiting time from historical data of similar equipment, and accordingly adjust the existing maintenance sequence, is a technical problem that needs to be solved in the batch return maintenance of computer rental equipment. Summary of the Invention

[0005] The purpose of this invention is to provide a method and system for maintaining equipment in the computer rental process, in order to solve the problems mentioned in the background art.

[0006] This invention is implemented as follows: a method for maintaining equipment during a computer rental process, the method comprising:

[0007] S1. For the target device in the current batch of leased computer equipment, when the preliminary inspection determines that it is in a state of deposit blockage, the initial maintenance sequence and the corresponding planned waiting time of the target device are determined according to the preliminary inspection results of each device in the batch.

[0008] S2. Extract several historical samples from the historical maintenance database that match the equipment background, condensation exposure during leaseback transportation, and deposition blockage status of the target equipment.

[0009] S3. Obtain the waiting time from arrival at the maintenance point to the start of maintenance for each historical sample, and the maintenance recovery characterization quantity corresponding to the maintenance of the deposition blockage state when the same standard maintenance operation is used;

[0010] S4. Sort the historical samples according to the waiting time, analyze the trend of the maintenance and recovery representation quantity as the waiting time increases, and determine the waiting time limit at the corresponding turning point when it changes from a stable state to a decreasing state.

[0011] S5. Compare the planned waiting time of the target equipment with the waiting time limit. If the planned waiting time exceeds the waiting time limit, adjust the maintenance sequence of the target equipment so that the target equipment can start maintenance within the waiting time limit.

[0012] As a further limitation of the technical solution of the present invention, the process of determining the initial maintenance sequence and the corresponding planned waiting time includes: determining the maintenance priority based on the preliminary inspection results of each device, and determining the initial maintenance sequence according to the maintenance priority; and determining the planned waiting time of the target device from the arrival at the maintenance point to the planned start of maintenance by combining the estimated maintenance time of each device before the target device and the occupancy of the maintenance workstation.

[0013] As a further limitation of the technical solution of the present invention, the matching with the equipment background, condensation exposure during return transport and deposition blockage status of the target equipment means that: the equipment corresponding to the historical sample and the target equipment have the same equipment model and heat dissipation structure, the difference between the condensation exposure characterization quantity corresponding to the historical sample and the target equipment is within a first preset range, and the difference between the deposition blockage status quantity corresponding to the historical sample and the target equipment is within a second preset range.

[0014] As a further limitation of the technical solution of this embodiment of the invention, the process of determining the condensation exposure characterization quantity includes: acquiring temperature and humidity time series data during the return transportation period, determining the dew point state corresponding to each moment based on the temperature and humidity time series data, and identifying the time interval that meets the condensation formation conditions; determining the condensation exposure characterization quantity based on the duration of the time interval and the corresponding condensation degree.

[0015] As a further limitation of the technical solution of the present invention, the process of determining the amount of deposition blockage includes: controlling the cooling fan of the target device to work at a preset speed during the coarse inspection process, obtaining the measured ventilation state parameters corresponding to the heat dissipation structure, and obtaining the reference ventilation state parameters of the same device background and under the baseline clean state; determining the amount of deposition blockage based on the degree of attenuation of the measured ventilation state parameters relative to the reference ventilation state parameters.

[0016] As a further limitation of the technical solution of the embodiment of the present invention, the standard maintenance operation includes: performing airflow cleaning on the heat dissipation structure of the equipment according to preset airflow parameters, action position, action angle and action duration, and obtaining the ventilation status parameters of the heat dissipation structure before and after performing the airflow cleaning.

[0017] As a further limitation of the technical solution of the present invention, the calculation process of the maintenance and recovery characterization quantity includes: obtaining the first ventilation state parameter before the standard maintenance operation, the second ventilation state parameter after the standard maintenance operation, and the reference ventilation state parameter when the corresponding heat dissipation structure is in the reference clean state; and determining the maintenance and recovery characterization quantity according to the ratio between the recovery amount of the second ventilation state parameter relative to the first ventilation state parameter and the recoverable amount of the reference ventilation state parameter relative to the first ventilation state parameter.

[0018] As a further limitation of the technical solution of this embodiment of the invention, step S4 specifically includes:

[0019] S41. Arrange the historical samples in ascending order of waiting time to obtain the maintenance and recovery representation quantity corresponding to each waiting time;

[0020] S42. Identify stable intervals and declining intervals based on the change magnitude of the maintenance and recovery representation quantity within a continuous sample interval, and determine the waiting time limit corresponding to the first turning point from the stable interval to the declining interval.

[0021] S43. If no change from a stable range to a declining range is detected, maintain the initial maintenance sequence and planned waiting time for the target equipment.

[0022] As a further limitation of the technical solution of this embodiment of the invention, in step S5, adjusting the maintenance sequence of the target equipment includes:

[0023] Determine the amount of time required to advance the start of maintenance for the target device within the waiting time limit, and obtain several candidate devices that precede the target device in the initial maintenance sequence;

[0024] Based on the preliminary inspection results of each candidate device and the corresponding maintenance constraint information, the allowable additional waiting time when postponing the maintenance of the candidate device is determined, and the devices whose allowable additional waiting time meets the position adjustment requirements are selected for postponement.

[0025] The target device is moved forward and the device to be postponed is moved backward accordingly, so that the adjusted target device can start maintenance within the waiting time limit, and the device to be postponed still meets its own maintenance constraints after being moved backward.

[0026] A computer rental process equipment maintenance system, the system comprising:

[0027] The maintenance sorting determination module is used to determine the initial maintenance sequence and corresponding planned waiting time of the target device in the current batch of leased computer equipment when a preliminary inspection determines that the target device is in a state of deposit blockage.

[0028] The historical sample screening module is used to extract several historical samples from the historical maintenance database that match the equipment background, condensation exposure during leaseback transportation, and deposition blockage status of the target equipment.

[0029] The maintenance data acquisition module is used to acquire the waiting time from the arrival of each historical sample to the start of maintenance, as well as the maintenance recovery characterization quantity corresponding to the maintenance of the deposition blockage state when the same standard maintenance operation is used to maintain it.

[0030] The waiting limit determination module is used to sort the historical samples according to the waiting time, analyze the changing trend of the maintenance and recovery representation quantity with the increase of the waiting time, and determine the waiting time at the corresponding turning point as the waiting time limit when it changes from a stable state to a decreasing state.

[0031] The maintenance sequence adjustment module is used to compare the planned waiting time of the target device with the waiting time limit. When the planned waiting time exceeds the waiting time limit, the maintenance sequence of the target device is adjusted so that the target device can start maintenance within the waiting time limit.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] This invention addresses the problem that conventional coarse inspection and sorting methods for batch-leased computers often fail to identify the impact of waiting periods on subsequent maintenance and recovery capabilities based solely on the current equipment status. By analyzing historical samples matching equipment background, condensation exposure during lease transport, and deposition / blockage conditions, the invention identifies the waiting time limit at which maintenance and recovery capabilities transition from stable to declining. Based on this, the original maintenance sequence for target equipment is adjusted. This allows for the identification of equipment with relatively minor faults that should not be left to wait, enabling maintenance before a significant decrease in recovery capabilities. This reduces redundant cleaning, deep maintenance, and additional workstation occupancy, minimizes interference with other equipment maintenance plans, and improves the maintenance efficiency and re-leaseback turnover rate of leased equipment. Attached Figure Description

[0034] Figure 1 A flowchart of the method provided in the embodiments of the present invention;

[0035] Figure 2 The application architecture diagram of the system provided in the embodiments of the present invention. Detailed Implementation

[0036] The technical solution of the present invention will be further described in detail below with reference to specific embodiments. It should be understood that the following specific embodiments are intended to enable those skilled in the art to more clearly understand the technical concept and implementation process of the present invention, and do not constitute a limitation on the scope of protection of the present invention.

[0037] This invention provides a method for maintaining equipment during the computer rental process. It is applicable to scenarios where rented computers are collected from different rental locations after the rental period is over and then transported back to the maintenance point, where the maintenance point performs preliminary inspection, sorting, and maintenance on the batch of returned computer equipment.

[0038] In the computer leasing process, returned computers are typically characterized by batch collection and centralized maintenance. Due to the limited number of maintenance workstations, personnel, and equipment, computers from the same batch cannot usually be maintained simultaneously upon arrival at the maintenance point. Instead, a preliminary inspection is performed first to determine the maintenance priority of each device, which is then moved to the maintenance workstations in the appropriate order. Therefore, different devices experience varying waiting times between their arrival at the maintenance point and the actual commencement of maintenance.

[0039] Existing maintenance prioritization methods primarily focus on factors such as the degree of failure exhibited by the equipment upon arrival at the maintenance point, maintenance requirements, estimated maintenance time, and subsequent usage needs. However, this study found that for leased computers with blocked heat dissipation structures, the equipment's condition upon arrival does not fully reflect its tolerance for waiting time.

[0040] Specifically, during the initial leasing period, the cooling structure of computers may develop varying degrees of condensation blockage due to differences in leasing location, operating time, workload, and usage environment. Furthermore, equipment returned to the same batch typically experiences similar or identical transportation environments during centralized return transport, resulting in similar condensation exposure backgrounds. For the current batch, because the differences in condensation exposure background are small between devices, its contribution to the prioritization of equipment selection is limited.

[0041] However, this application further reveals that, under similar conditions regarding equipment background, condensation exposure during leaseback transport, and deposition blockage, the degree of maintenance recovery may differ depending on the waiting time after the equipment arrives at the maintenance point before performing the same maintenance operation. Within a certain waiting period, the maintenance recovery effect obtained by the standard maintenance operation remains generally stable; however, as the waiting time continues to increase and exceeds a certain threshold, the degree of maintenance recovery corresponding to the standard maintenance operation begins to decline. This indicates that for equipment with a corresponding deposition blockage state, there exists a maintenance waiting time boundary corresponding to the current state and the leaseback transport background.

[0042] Based on the above findings, this invention does not change the basic function of the original coarse inspection sorting mechanism. Instead, after the coarse inspection has determined the initial maintenance sequence and planned waiting time of the target equipment, it further uses the historical maintenance database to determine whether the target equipment may exceed the time boundary when its maintenance recovery capability begins to decline if it continues to wait according to the original plan. If such a situation exists, the maintenance sequence of the target equipment is adjusted without violating the maintenance constraints of other equipment.

[0043] like Figure 1 As shown, specifically, this embodiment includes steps S1 to S5.

[0044] S1. For the target device in the current batch of leased computer equipment, when the preliminary inspection determines that it has a deposit blockage state, the initial maintenance sequence and corresponding planned waiting time of the target device are determined according to the preliminary inspection results of each device in the batch.

[0045] In this step, the maintenance point first performs a preliminary inspection on the current batch of leased computer equipment. This preliminary inspection may include power-on checks, storage status checks, battery status checks, interface checks, heat dissipation status checks, fan operation checks, and visual inspections. The specific items used in the preliminary inspection can be set according to the maintenance point's existing equipment maintenance system; this application does not limit this.

[0046] Regarding the heat dissipation structure status, the cooling fan of the computer under test can be controlled to operate at a preset speed during the rough inspection process, and the measured ventilation status parameters corresponding to the heat dissipation structure can be obtained.

[0047] The ventilation status parameters are used to reflect the ability of airflow through the heat dissipation structure, and can be the average wind speed at the heat dissipation outlet, the ventilation volume per unit time, the pressure difference in the heat dissipation channel, or other parameters that can reflect the airflow status of the heat dissipation channel.

[0048] For example, a wind speed detection device can be installed at the computer's heat dissipation vent to control the cooling fan at a predetermined speed and continuously collect the airflow speed over a preset time. The corresponding measured ventilation status parameters can be obtained through multiple sampling results.

[0049] Further obtain reference ventilation status parameters that have the same equipment background as the target equipment and are in a baseline clean state.

[0050] The baseline cleanliness condition can be established through standard testing after thorough cleaning with the same model of equipment, or through testing with a new model of equipment or equipment confirmed to be free of significant deposits and blockages. For computers of the same model and with the same heat dissipation structure, corresponding reference ventilation parameters can be pre-stored in the equipment baseline database.

[0051] The measured ventilation state parameters of the target equipment are compared with the reference ventilation state parameters, and the deposition blockage state quantity of the target equipment is determined based on the degree of attenuation of the measured ventilation capacity relative to the reference ventilation capacity.

[0052] For example, if the reference ventilation state parameter corresponds to an air velocity of 5.0 m / s under the same preset fan speed, while the actual measured air velocity of the target device is 3.5 m / s, it indicates that the current ventilation capacity of the target device's heat dissipation channel is significantly reduced compared to the baseline clean state. The corresponding amount of deposit blockage can be determined based on this degree of reduction.

[0053] It should be noted that the deposition blockage state quantity in this application does not necessarily represent the dust mass, sediment volume, or sediment thickness in the heat dissipation structure. Rather, it is preferred to comprehensively characterize the degree of blockage caused by sediments to the actual ventilation capacity of the heat dissipation structure. This approach reduces the impact of different sediment distribution locations and sediment morphologies on the results of simple mass testing, making the deposition blockage state more closely reflect the actual issues that subsequent maintenance operations need to address.

[0054] Once the preliminary inspection confirms that the target equipment is in a state of deposit blockage, the maintenance priority is determined based on the preliminary inspection results of each piece of equipment in the current batch.

[0055] Maintenance priorities can be determined based on the severity of equipment malfunctions, the number of maintenance items, estimated maintenance time, the time requirements of the next leased task, and other existing maintenance management factors. An initial maintenance sequence is formed according to the maintenance priority of each piece of equipment.

[0056] After determining the initial maintenance sequence, based on the estimated maintenance time of each device preceding the target device, the number of available maintenance workstations, and the current occupancy status of the maintenance workstations, the planned start time of maintenance for the target device is calculated, and the planned waiting time between the target device's arrival at the maintenance point and the planned start of maintenance is further determined.

[0057] For example, if the target equipment arrives at the maintenance point at 8:00, and based on the initial maintenance sequence and the estimated time that the preceding equipment occupies the maintenance station, it is determined that the target equipment is scheduled to start maintenance at 14:30, then the planned waiting time for the target equipment is 6.5 hours.

[0058] Therefore, the planned waiting time obtained in this step reflects the estimated waiting time required for the target device when executed according to the original coarse inspection sequencing logic. This planned waiting time serves as the basis for subsequent judgments on whether to intervene in the original maintenance sequence.

[0059] Furthermore, the computer rental process equipment maintenance method also includes the following steps:

[0060] S2. Extract several historical samples from the historical maintenance database that match the equipment background, condensation exposure during leaseback transportation, and deposition blockage status of the target equipment.

[0061] The historical maintenance database can be established on the maintenance center server and continuously updated as leased computers complete return maintenance. For each piece of equipment that has undergone maintenance, the historical maintenance database can record the equipment model, heat dissipation structure type, transportation environment information, the time the equipment arrived at the maintenance point, the actual time maintenance began, the deposit blockage status obtained from the preliminary inspection, the maintenance operation used, and the ventilation status parameters before and after maintenance.

[0062] This step first filters the historical records based on the device background.

[0063] The equipment background can include at least the equipment model and heat dissipation structure. Historical samples using the same equipment model and heat dissipation structure as the target equipment can maintain basic consistency in fan specifications, heat dissipation channel structure, heat sink fin arrangement, and air outlet structure, thereby reducing the impact of structural differences on maintenance and restoration results.

[0064] Subsequently, the condensation exposure during the leaseback transportation was matched.

[0065] In one specific implementation, temperature and humidity sensors can be installed in the vehicles, crates, or transport containers used for leaseback transportation to acquire time-series temperature and humidity data during transportation according to a preset sampling period. Devices within the same transport unit can be associated with the temperature and humidity records corresponding to that transport unit.

[0066] The dew point state is determined based on the temperature and humidity at each sampling time. The dew point state can be obtained using existing dew point calculation methods or based on a pre-established correspondence between temperature, humidity, and dew point.

[0067] Furthermore, the conditions for condensation formation or the risk conditions for condensation can be identified based on the proximity between the ambient temperature and the corresponding dew point state.

[0068] For example, the transportation process can be divided into high condensation exposure state, medium condensation exposure state, and low condensation exposure state, and the duration of each state can be counted.

[0069] The condensation exposure metric can be determined by comprehensively considering the duration of different condensation exposure states and their corresponding exposure levels. For example, a larger calculation weight is assigned to high condensation exposure states, and a smaller calculation weight is assigned to medium condensation exposure states. The duration of different states is multiplied by their corresponding weights and then summed to obtain a value that reflects the degree of condensation exposure throughout the entire return transportation process.

[0070] In other embodiments, factors such as the number of times the vehicle enters a high-condensation exposure state during transportation, the duration of a single continuous exposure, and the rate of change in temperature and humidity can be further considered.

[0071] Therefore, the condensation exposure characterization does not require directly obtaining the actual mass of condensate on the surface of the heat dissipation structure. Instead, it uses the time-series temperature and humidity data that can be directly collected during the return transport process to quantify the condensation formation environment experienced by the equipment, so that different historical transport processes can be compared on a unified scale.

[0072] The condensation exposure characteristics in the historical records are compared with the condensation exposure characteristics of the current target equipment batch. When the difference between the two is within a first preset range, it is determined that the condensation exposure of the two during the return transport is matched.

[0073] At the same time, the deposition blockage status during the rough inspection of the historical equipment is compared with the current deposition blockage status of the target equipment. When the difference between the two is within the second preset range, it is determined that the deposition blockage status of the two is matched.

[0074] The first and second preset ranges can be set based on the number of historical samples in the maintenance center. When there are many historical samples, the matching range can be narrowed to make the status of the selected samples more similar; when there are few historical samples, the matching range can be appropriately expanded, but it should be ensured that the selected historical equipment is still comparable in terms of relevant technical status.

[0075] Through the above screening, the final historical samples obtained have basically the same equipment structure background, similar return-lease transport condensation exposure background, and similar initial deposition blockage state as the target equipment.

[0076] The purpose of this setup is to control other factors that may affect the maintenance and recovery results as much as possible, so that subsequent analysis can focus more on the factor of "different waiting times after the equipment arrives at the maintenance point".

[0077] Furthermore, the computer rental process equipment maintenance method also includes the following steps:

[0078] S3. Obtain the waiting time from arrival at the maintenance point to the start of maintenance for each historical sample, and the maintenance recovery characterization quantity corresponding to the maintenance of the deposition blockage state using the same standard maintenance operation.

[0079] For each historical sample, the time when the device arrives at the maintenance point and the actual time when maintenance begins are read from the historical maintenance database. The waiting time for that historical sample is obtained by subtracting the arrival time at the maintenance point from the actual time when maintenance begins.

[0080] For example, if a piece of historical equipment arrives at the maintenance point at 9:00 AM and begins maintenance on its heat dissipation structure at 1:30 PM, then its corresponding waiting time is 4.5 hours.

[0081] In order to enable effective comparison of the maintenance effects of samples with different waiting times, this application requires that historical samples used for trend analysis adopt the same standard maintenance operations.

[0082] In one specific implementation, standard maintenance procedures may be airflow cleaning procedures for the heat dissipation structure.

[0083] When performing airflow cleaning, the airflow parameters, application location, application angle, and application duration are uniformly defined. For example, the same type of cleaning equipment can be used, with the nozzle positioned at a specified location, maintaining a specified distance and application angle from the heat dissipation structure, and the airflow pressure or flow rate applied for a specified time.

[0084] For historical samples of the same model and with the same heat dissipation structure, using the same standard maintenance procedures can keep the maintenance procedures themselves basically consistent, thereby reducing data differences caused by different operating methods or cleaning intensities of staff.

[0085] Before performing standard maintenance operations, the first ventilation status parameters are obtained under specified fan speed and testing conditions; after performing standard maintenance operations, the second ventilation status parameters are obtained under the same testing conditions.

[0086] Simultaneously, benchmark ventilation status parameters are obtained from the benchmark database for equipment with the same background and under benchmark clean conditions.

[0087] The maintenance and restoration characterization parameters are determined using the first ventilation state parameter, the second ventilation state parameter, and the reference ventilation state parameter.

[0088] Specifically, firstly, the ventilation capacity actually restored by performing a standard maintenance operation is obtained by subtracting the first ventilation state parameter from the second ventilation state parameter; then, the total recoverable space theoretically corresponding to the restoration from the pre-maintenance state to the baseline clean state is obtained by subtracting the first ventilation state parameter from the baseline ventilation state parameter; finally, the actual restored ventilation capacity is divided by the total recoverable space, and the result is used as the maintenance recovery characterization quantity of this historical sample.

[0089] For example, if the air velocity of the historical equipment before maintenance is 3.0 m / s, the air velocity after standard maintenance is 4.4 m / s, and the reference air velocity under the baseline cleaning state is 5.0 m / s, then the actual recovery amount is 1.4 m / s, the total recoverable space is 2.0 m / s, and the corresponding maintenance recovery characterization amount is 0.7.

[0090] A higher maintenance recovery index indicates that the same standard maintenance operation can restore a larger proportion of heat dissipation and ventilation capacity, and the corresponding deposit blockage is easier to handle with the current standard maintenance method. A lower maintenance recovery index means that only a small proportion of ventilation capacity can be restored after performing the same standard maintenance operation. In actual maintenance, it may be necessary to increase the number of cleanings, increase the maintenance time, or switch to deep disassembly and cleaning.

[0091] During the historical data preprocessing process, samples whose pre-maintenance ventilation status was already very close to the baseline clean status can be excluded to avoid abnormal fluctuations in the maintenance recovery characterization caused by an excessively small total recoverable space.

[0092] Step S3 allows for the generation of corresponding waiting times and maintenance recovery characteristics for each matched historical sample, providing a data foundation for identifying the time boundaries at which maintenance recovery capabilities change with waiting time.

[0093] Furthermore, the computer rental process equipment maintenance method also includes the following steps:

[0094] S4. Sort the historical samples according to the waiting time, analyze the trend of the maintenance and recovery representation quantity as the waiting time increases, and determine the waiting time limit at the corresponding turning point when it changes from a stable state to a decreasing state.

[0095] Specifically, steps S41 to S43 can be performed.

[0096] S41. Arrange the historical samples in ascending order of waiting time to obtain the maintenance and recovery representation quantity corresponding to each waiting time.

[0097] When there are a large number of historical samples, multiple waiting time intervals can be formed according to preset time intervals. For example, time intervals can be divided into 30-minute or 1-hour intervals, and the average or median of the maintenance and recovery characterization values ​​corresponding to multiple historical samples in the same time interval can be calculated to reduce the impact of individual detection errors on the overall trend.

[0098] For example, the historical samples obtained by screening are distributed around 1 hour, 2 hours, 3 hours, 4 hours, 5 hours, 6 hours and 7 hours, respectively. The representative maintenance and recovery characterization corresponding to each waiting time range is obtained through the above processing.

[0099] S42. Identify stable intervals and declining intervals based on the change magnitude of the maintenance and recovery representation quantity within the continuous sample interval, and determine the waiting time limit corresponding to the first turning point from the stable interval to the declining interval.

[0100] The steady state can be defined as the maintenance and recovery representation quantity only fluctuates slightly over a number of consecutive time intervals as the waiting time increases, without forming a continuous decline.

[0101] A declining state can indicate that the maintenance recovery representation quantity has decreased by more than a preset amount relative to the aforementioned stable level, and maintains a declining trend over several consecutive time intervals thereafter.

[0102] In practice, a stable change threshold and a decreasing change threshold can be set. For example, when the change in the maintenance and recovery characteristic quantity between consecutive time intervals is lower than the stable change threshold, the part is determined to belong to the stable interval; when the maintenance and recovery characteristic quantity in a subsequent time interval decreases relative to the representative value of the stable interval by more than the decreasing change threshold, and continues to decrease for at least two subsequent time intervals, the maintenance and recovery characteristic quantity is determined to have changed from a stable state to a decreasing state.

[0103] In other implementations, moving average processing, piecewise fitting processing, or change point detection methods can also be used to identify the aforementioned turning points, as long as the position where the maintenance and recovery representation quantity changes from relatively stable to continuously decreasing can be determined based on historical samples.

[0104] For example, in a set of matched historical samples, the maintenance recovery characterization value remained within the range of 0.76 to 0.80 during the waiting period of 1 to 4 hours; after waiting for 5 hours, the maintenance recovery characterization value decreased to 0.68, and continued to decrease in the corresponding samples at 6 and 7 hours. Based on the preset change judgment criteria, it can be determined that the maintenance recovery characterization value began to change from a stable state to a decreasing state after waiting for approximately 5 hours. Therefore, 5 hours is determined as the waiting time limit corresponding to the current equipment background, condensation exposure, and deposition blockage state.

[0105] The waiting time limit in this application is not the lifespan limit of the equipment when a hardware failure occurs, nor is it a requirement to complete all repairs before that time. Rather, it represents the waiting time boundary corresponding to the equipment maintaining a better standard of maintenance and recovery capability under the current matching background.

[0106] In other words, this application is not concerned with whether the equipment is "now seriously damaged," but rather whether the equipment "will enter a stage where its ability to recover under the same standard maintenance operations will significantly decline if it continues to wait as originally planned."

[0107] S43. If no change in the maintenance recovery indicator from a stable state to a decreasing state is identified, then maintain the initial maintenance sequence and planned waiting time of the target equipment.

[0108] For example, if existing matching historical samples have different waiting times, but the maintenance and recovery characteristics remain within a similar range, it indicates that within the waiting time range reflected by the existing historical data, it cannot be proven that the waiting time will cause a significant decrease in maintenance and recovery capabilities. In this case, there is no need to change the original maintenance schedule of the target equipment.

[0109] In practical applications, a minimum number of valid historical samples can also be set. When the number of valid historical samples obtained from the screening is less than the preset number, the determination of the waiting time limit can be temporarily suspended, and the original maintenance plan can continue to be used. After the equipment maintenance is completed, the data corresponding to this equipment will be written into the historical maintenance database to further enrich the samples required for subsequent analysis.

[0110] Furthermore, the computer rental process equipment maintenance method also includes the following steps:

[0111] S5. Compare the planned waiting time of the target equipment with the waiting time limit. If the planned waiting time exceeds the waiting time limit, adjust the maintenance sequence of the target equipment so that the target equipment can start maintenance within the waiting time limit.

[0112] If the planned waiting time for the target equipment is less than or equal to the waiting time limit, it means that the target equipment can be maintained before the maintenance recovery capability significantly decreases, so the original maintenance sequence should be maintained.

[0113] If the planned waiting time of the target device exceeds the waiting time limit, then first determine the amount of advance time required to bring the target device into the waiting time limit.

[0114] For example, if the target equipment is originally scheduled to begin maintenance 6.5 hours after arriving at the maintenance point, but historical sample analysis shows a waiting time limit of 5 hours, then the target equipment needs to begin maintenance at least 1.5 hours earlier. In practical applications, a certain safety margin can also be set, such as allowing the target equipment to begin maintenance 4.5 hours after arrival.

[0115] Then, several candidate devices that are located before the target device in the initial maintenance sequence are obtained.

[0116] It should be noted that the candidate device is not required to have the same model as the target device, nor is it required that the candidate device also have a deposition blockage state.

[0117] Maintenance needs for the same batch of leased computer equipment can vary significantly. For example, some equipment may require thermal maintenance, some may need storage component replacement, some may require interface testing, and others may only require software recovery. Therefore, the wait time limit corresponding to the target equipment cannot be directly used to determine whether a candidate device can be postponed.

[0118] This application determines the allowable increase in waiting time for each candidate device based on the candidate device's own preliminary inspection results and corresponding maintenance constraint information.

[0119] The maintenance constraint information may include the current fault level of the candidate equipment, the risks that may arise from the continued fault state, the delivery time required by subsequent lease orders, the estimated maintenance time, the status of spare parts required for maintenance, and other time-related maintenance constraints that have been determined for the candidate equipment itself.

[0120] Based on the maintenance constraints of the candidate equipment itself, the latest permitted start time for maintenance can be determined. Subtracting the currently planned start time for maintenance from the latest permitted start time yields the candidate equipment's delay margin.

[0121] For example, if a candidate device is currently scheduled to begin maintenance 3 hours after arriving at the maintenance point, and based on its preliminary inspection results and the next rental task arrangement, starting maintenance within 6 hours of arriving at the maintenance point would not violate its maintenance constraints, then the candidate device has a 3-hour delay margin.

[0122] If another candidate device has a high risk of failure or the next rental task is imminent and can only be delayed by 30 minutes from the original plan, then its waiting margin is 30 minutes.

[0123] The deferred waiting margin is used to represent the time and space that a candidate device can provide for reordering the maintenance queue without breaking its own maintenance constraints.

[0124] Based on the amount of time required to advance the target equipment, select equipment with a delay margin from the candidate equipment located before the target equipment as the equipment to be delayed.

[0125] When the delay margin of a candidate device is sufficient to meet the full lead time required by the target device, the target device can be moved forward by adjusting the relative positions of the candidate device and the target device in the maintenance queue.

[0126] When no single candidate device can release sufficient maintenance time, multiple candidate devices with a delay margin can be selected sequentially, and the advance time required to release the target device can be accumulated by locally shifting multiple candidate devices.

[0127] For example, if the target device needs to be in place at least 2.5 hours in advance, the first candidate device ahead of it has a 1-hour delay margin, the second candidate device has a 2-hour delay margin, and the third candidate device has no delay margin due to an urgent maintenance need, then the first and second candidate devices can be selected to participate in the queue reordering without adjusting the third candidate device.

[0128] After the queue adjustment is completed, the adjusted maintenance order is verified again.

[0129] The planned waiting time for the target equipment after adjustment should be within its waiting time limit; at the same time, each piece of equipment to be postponed should still meet its own maintenance constraints after being moved.

[0130] Therefore, the processing method proposed in this application is not simply to increase the priority of the target equipment, but to add a time boundary related to maintenance recovery capability on the basis of the original maintenance queue, and further utilize the delay margin of other equipment to complete the constrained local queue adjustment.

[0131] For example, in a real-world application scenario, a maintenance center receives 20 leased-back laptops. After being transported back to the center, each device is initially identified as having a blockage in its heat dissipation structure. Based on the initial maintenance priority, maintenance is scheduled to begin 6.5 hours after arrival.

[0132] The maintenance center obtained the condensation exposure characterization value based on the temperature and humidity data during this leaseback transportation, and selected historical equipment from the historical maintenance database that matched the target equipment model, heat dissipation structure, condensation exposure characterization value, and deposition blockage state value.

[0133] Analysis revealed that the maintenance and recovery metrics remained stable when the historical equipment was cleaned using standard airflow within a waiting period of 1 to 4 hours. However, starting from approximately 5 hours, the maintenance and recovery metrics began to decline continuously. Therefore, the maximum waiting time was determined to be 5 hours.

[0134] Since the target device was originally scheduled to wait for 6.5 hours, which exceeds the above-mentioned waiting time limit, the system further analyzes the candidate devices located before the target device.

[0135] One candidate device, based on its initial inspection status and subsequent rental tasks, can have its maintenance delayed by 2 hours. The other candidate device, due to its higher risk of failure, can only be delayed by 20 minutes. The maintenance system selects the former to participate in the queue position adjustment, ensuring that the target device enters the maintenance station 4.5 hours after arriving at the maintenance center. The adjusted candidate device, even with the delay, still does not violate its own maintenance constraints.

[0136] Once the target equipment enters the maintenance station, the aforementioned standard maintenance operations can be performed first. If the specified final ventilation requirements have been met after the standard maintenance operations, the corresponding maintenance is completed; if the final maintenance requirements have not been met, further cleaning, changing the operating position, or deep cleaning by disassembly can be performed. This invention mainly solves the problem of scheduling the time for the target equipment to enter the maintenance station, and does not limit the further maintenance methods adopted after it enters the maintenance station.

[0137] After maintenance is completed, the equipment background, condensation exposure characteristics during return transport, deposition blockage status, actual waiting time, standard maintenance operations, and maintenance recovery characteristics of the target equipment can be rewritten into the historical maintenance database, making the equipment a new historical sample for waiting time analysis of similar return-to-lease equipment in the future.

[0138] Through the above approach, this invention does not simply add the condensation environment during leaseback transportation directly to the equipment maintenance priority. For the same leaseback batch, the condensation exposure background itself may be approximately the same, and cannot directly generate effective differences in equipment ranking; this invention uses it to limit the common transportation background of historical samples, and further observes the maintenance recovery results corresponding to different waiting times when the equipment background, condensation exposure, and deposition blockage status are all comparable, thereby identifying the time boundary of maintenance recovery capability that cannot be directly reflected by the original coarse inspection maintenance ranking.

[0139] Therefore, this invention can identify devices that, although not the most faulty during initial inspection and not requiring priority maintenance according to traditional methods, may exceed their corresponding waiting time limit if they continue to wait in the current queue, thus reducing the recovery rate achieved by the same standard maintenance operation. By initiating maintenance on the target devices within this time boundary, the probability of increasing the number of maintenance operations or transitioning to deeper maintenance due to excessively long maintenance wait times can be reduced, and the utilization efficiency of maintenance workstations and equipment turnover efficiency during the batch maintenance of leased computers can be improved.

[0140] Furthermore, such as Figure 2 As shown, the present invention also provides a computer rental process equipment maintenance system, which can be set up in a server, maintenance management terminal or maintenance management platform composed of multiple detection terminals and a server in a rental equipment maintenance center.

[0141] The system includes a maintenance sorting determination module 100, a historical sample screening module 200, a maintenance data acquisition module 300, a waiting limit determination module 400, and a maintenance order adjustment module 500.

[0142] The maintenance sequencing determination module 100 is used to obtain the preliminary inspection results of the current batch of leased computer equipment. When the target equipment is in a state of accumulation and blockage, it determines the initial maintenance sequence and planned waiting time of the target equipment based on the preliminary inspection results of each equipment in the current batch.

[0143] The historical sample screening module 200 is used to access the historical maintenance database and screen matching historical samples based on the target equipment's model, heat dissipation structure, condensation exposure during return transport, and deposition blockage status.

[0144] The maintenance data acquisition module 300 is used to acquire the arrival time of each historical sample at the maintenance point, the actual start time of maintenance, and the ventilation status parameters before and after the standard maintenance operation, and obtain the waiting time and maintenance recovery characterization quantity accordingly.

[0145] The waiting limit determination module 400 is used to organize historical samples according to the waiting time, analyze the changing trend of the maintenance and recovery characterization quantity as the waiting time increases, and determine the waiting time limit when the maintenance and recovery characterization quantity changes from a stable state to a decreasing state.

[0146] The maintenance sequence adjustment module 500 is used to compare the planned waiting time of the target equipment with the waiting time limit. When the planned waiting time exceeds the waiting time limit, the maintenance sequence is adjusted according to the advance time required by the target equipment and the delay margin of the preceding candidate equipment, so that the target equipment can start maintenance within the waiting time limit and the delayed equipment can still meet their respective maintenance constraints.

[0147] The above modules can be implemented using software programs, or they can be implemented in conjunction with a coarse inspection device, a transportation environment data acquisition device, a historical maintenance database, and a maintenance workstation management terminal. The data processing procedures and parameter meanings performed by each module can be referred to the aforementioned implementation methods, and will not be repeated here.

Claims

1. A method for maintaining equipment during a computer rental process, characterized in that, The method includes: S1. For the target device in the current batch of leased computer equipment, when the preliminary inspection determines that it is in a state of deposit blockage, the initial maintenance sequence and the corresponding planned waiting time of the target device are determined according to the preliminary inspection results of each device in the batch. S2. Extract several historical samples from the historical maintenance database that match the equipment background, condensation exposure during leaseback transportation, and deposition blockage status of the target equipment. S3. Obtain the waiting time from arrival at the maintenance point to the start of maintenance for each historical sample, and the maintenance recovery characterization quantity corresponding to the maintenance of the deposition blockage state when the same standard maintenance operation is used; S4. Sort the historical samples according to the waiting time, analyze the trend of the maintenance and recovery representation quantity as the waiting time increases, and determine the waiting time limit at the corresponding turning point when it changes from a stable state to a decreasing state. S5. Compare the planned waiting time of the target equipment with the waiting time limit. If the planned waiting time exceeds the waiting time limit, adjust the maintenance sequence of the target equipment so that the target equipment can start maintenance within the waiting time limit.

2. The method for maintaining equipment during computer rental process according to claim 1, characterized in that, The process of determining the initial maintenance sequence and the corresponding planned waiting time includes: determining the maintenance priority based on the preliminary inspection results of each device, and determining the initial maintenance sequence according to the maintenance priority; and determining the planned waiting time of the target device from arrival at the maintenance point to the planned start of maintenance, taking into account the estimated maintenance time of each device before the target device and the occupancy of the maintenance workstation.

3. The method for maintaining equipment during computer rental process according to claim 1, characterized in that, Matching the target equipment's background, condensation exposure during return transport, and deposition blockage status means that: the historical sample corresponds to the same equipment model and heat dissipation structure as the target equipment; the difference between the condensation exposure characterization quantity of the historical sample and the target equipment is within a first preset range; and the difference between the deposition blockage status quantity of the historical sample and the target equipment is within a second preset range.

4. The method for maintaining equipment during computer rental process according to claim 3, characterized in that, The process of determining the condensation exposure characterization quantity includes: acquiring time-series data of temperature and humidity during the return transport; determining the dew point state corresponding to each moment based on the time-series data of temperature and humidity; and identifying the time interval that meets the conditions for condensation formation; and determining the condensation exposure characterization quantity based on the duration of the time interval and the corresponding degree of condensation.

5. The method for maintaining equipment during computer rental process according to claim 3, characterized in that, The process of determining the deposition blockage state quantity includes: controlling the cooling fan of the target equipment to operate at a preset speed during the coarse inspection process, obtaining the measured ventilation state parameters corresponding to the heat dissipation structure, and obtaining the reference ventilation state parameters of the same equipment background and under the baseline clean state; determining the deposition blockage state quantity based on the degree of attenuation of the measured ventilation state parameters relative to the reference ventilation state parameters.

6. The method for maintaining equipment during computer leasing as described in claim 1, characterized in that, The standard maintenance operation includes: performing airflow cleaning on the equipment's heat dissipation structure according to preset airflow parameters, application position, application angle, and application duration, and obtaining the ventilation status parameters of the heat dissipation structure before and after the airflow cleaning.

7. The method for maintaining equipment during computer leasing as described in claim 6, characterized in that, The calculation process of the maintenance and recovery characterization quantity includes: obtaining the first ventilation state parameter before the standard maintenance operation, the second ventilation state parameter after the standard maintenance operation, and the reference ventilation state parameter when the corresponding heat dissipation structure is in a reference clean state; and determining the maintenance and recovery characterization quantity based on the ratio between the recovery amount of the second ventilation state parameter relative to the first ventilation state parameter and the recoverable amount of the reference ventilation state parameter relative to the first ventilation state parameter.

8. The method for maintaining equipment during computer leasing as described in claim 1, characterized in that, Step S4 specifically includes: S41. Arrange the historical samples in ascending order of waiting time to obtain the maintenance and recovery representation quantity corresponding to each waiting time; S42. Identify stable intervals and declining intervals based on the change magnitude of the maintenance and recovery representation quantity within a continuous sample interval, and determine the waiting time limit corresponding to the first turning point from the stable interval to the declining interval. S43. If no change from a stable range to a declining range is detected, maintain the initial maintenance sequence and planned waiting time for the target equipment.

9. The method for maintaining equipment during computer rental process according to claim 1, characterized in that, In step S5, adjusting the maintenance sequence of the target equipment includes: Determine the amount of time required to advance the start of maintenance for the target device within the waiting time limit, and obtain several candidate devices that precede the target device in the initial maintenance sequence; Based on the preliminary inspection results of each candidate device and the corresponding maintenance constraint information, the allowable additional waiting time when postponing the maintenance of the candidate device is determined, and the devices whose allowable additional waiting time meets the position adjustment requirements are selected for postponement. The target device is moved forward and the device to be postponed is moved backward accordingly, so that the adjusted target device can start maintenance within the waiting time limit, and the device to be postponed still meets its own maintenance constraints after being moved backward.

10. A computer rental process equipment maintenance system, characterized in that, The system includes: The maintenance sorting determination module is used to determine the initial maintenance sequence and corresponding planned waiting time of the target device in the current batch of leased computer equipment when a preliminary inspection determines that the target device is in a state of deposit blockage. The historical sample screening module is used to extract several historical samples from the historical maintenance database that match the equipment background, condensation exposure during leaseback transportation, and deposition blockage status of the target equipment. The maintenance data acquisition module is used to acquire the waiting time from the arrival of each historical sample to the start of maintenance, as well as the maintenance recovery characterization quantity corresponding to the maintenance of the deposition blockage state when the same standard maintenance operation is used to maintain it. The waiting limit determination module is used to sort the historical samples according to the waiting time, analyze the changing trend of the maintenance and recovery representation quantity with the increase of the waiting time, and determine the waiting time at the corresponding turning point as the waiting time limit when it changes from a stable state to a decreasing state. The maintenance sequence adjustment module is used to compare the planned waiting time of the target device with the waiting time limit. When the planned waiting time exceeds the waiting time limit, the maintenance sequence of the target device is adjusted so that the target device can start maintenance within the waiting time limit.

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