77 results about "Performance recovery" patented technology

The invention provides a hard disk testing method, a hard disk fault early warning method and a hard disk fault early warning device, which can be applied to the technical field of storage equipment. The hard disk testing method comprises the following steps: processing a to-be-tested hard disk to enable the to-be-tested hard disk to reach a steady state condition; executing an advanced formatting operation on the to-be-tested hard disk reaching the steady state condition to obtain the to-be-tested hard disk after the advanced formatting operation is completed; based on a plurality of preset overwriting proportions, testing operation is executed on the to-be-tested hard disk after the advanced formatting operation is completed, performance testing data are obtained, and the overwriting proportions are proportions of the overwriting area space in the to-be-tested hard disk space after the advanced formatting operation is completed; according to the performance test data corresponding to the multiple preset overwriting proportions, a performance test result is obtained, and the performance test result represents the performance recovery capability of the to-be-tested hard disk after the advanced formatting operation is completed.

The invention belongs to the technical field of wafer processing, and discloses a multi-section high-flatness wafer cutting method which comprises the following steps: S1, wafer pretreatment and stress buffer layer preparation; s2, performing layered rough cutting by using a diamond blade; s3, plasma fine cutting and interface repairing; s4, performing multi-layer cooling and surface polishing; and S5, surface quality closed-loop detection is carried out. According to the method, copper layer residues and resin carbonization defects are synchronously eliminated. Cryogenic treatment induces lattice reconstruction through ultrafast phase change and blocks a chain reaction of dislocation defects, so that the intrinsic mechanical strength of the material is recovered, and a chemical mechanical polishing system activates the self-repairing characteristic of the material while removing a sub-surface damaged layer through the synergistic effect of abrasive chemical activity and mechanical shearing force, so that an atomic-scale smooth interface is formed, and the self-repairing performance of the material is improved. A closed-loop detection system depends on multi-dimensional data fusion and ion beam fixed-point repair, accurate positioning and performance recovery of cross-scale defects are achieved, and the electrical integrity of a chip functional area is ensured.

The invention discloses a data recovery test method, which comprises the following steps of: performing fault injection on a storage system to enable the storage system to enter a recovery state; determining a target test scene in the recovery state, and performing a performance recovery test on the storage system in the target test scene; estimating a target duration for the storage system to enter a stable state in the performance recovery test process; after waiting for the target duration, collecting target performance data of the storage system for verification, and determining a test result of the target test scene according to a verification result; and determining a data recovery test result according to the test result of each target test scene. By applying the technical scheme provided by the invention, more efficient and accurate data recovery performance testing can be realized for the storage system. The invention also discloses a data recovery test device, electronic equipment and a computer readable storage medium, which also have the above technical effects.

The invention relates to the technical field of deep learning, and discloses an iterative pruning optimization method based on dynamic double-teacher multistage distillation, comprising the following steps: S1, training a deep learning model as an original model; s2, pruning the model by using a preset filter importance evaluation standard to obtain a pruned student model; s3, selecting a teacher model with the capacity similar to that of the student model from a teacher model warehouse as a primary teacher, and selecting the original model as a secondary teacher; s4, performing multi-stage distillation fine adjustment on the student model by using the primary teacher and the secondary teacher; and S5, repeating the steps of pruning, teacher selection and multi-stage distillation fine adjustment until a preset maximum pruning rate is reached. An iterative pruning optimization method based on dynamic double teachers is provided, and the performance recovery capability of the pruned model is remarkably improved by introducing multi-stage distillation and a dynamic teacher selection mechanism in a fine adjustment stage.

The invention discloses an SBS (styrene butadiene styrene) modified asphalt aging performance evaluation method, a prediction model and application, relates to a construction method of an SBS modified asphalt aging performance evaluation and prediction model based on multi-scale aging evaluation indexes, and aims to solve the problems that aging evaluation depends on a single-scale index and the prediction precision is insufficient in the prior art. The model is verified by accelerated aging data in a laboratory, the thermo-oxidative aging error is less than or equal to 9.4%, and the ultraviolet aging error is less than or equal to 7.5%. Engineering application: providing road maintenance period suggestions (for example, when the aging time is predicted to be 5 years, detection is recommended once every two years); triggering a material replacement threshold value when the number of honeycomb structures drops to 60% of the initial value; the performance recovery is realized by compounding the new asphalt and the regenerant (the mixing amount is 10-15%). Through multi-scale index collaborative analysis and data modeling, the aging prediction precision is significantly improved, and a scientific basis is provided for asphalt material life evaluation and road maintenance decision.

The present application provides a data processing method and a related device. The method provided by the present application comprises: a first device determines personalized category data of the first device; the first device determines the level of unlearning completeness of a first global model for the personalized category data, wherein the first global model is a global model at the moment when the first device applies for or executes unlearning determination; and on the basis of the level of unlearning completeness, the first device determines whether to carry out federated unlearning for the personalized category data. Therefore, whether federated unlearning needs to be carried out can be effectively determined, and the overhead separately caused by unnecessary federated unlearning and model performance recovery is avoided, thereby better implementing federated unlearning.

The invention discloses a device and method for testing performance degradation of a deep ultraviolet fused quartz material, and the method comprises the steps: employing a continuous laser beam with the wavelength of 213nm as a detection light beam, and simultaneously monitoring the transmittance change of the detection light beam after the detection light beam passes through a deep ultraviolet laser irradiation region of the deep ultraviolet fused quartz material and the instantaneous change of the light intensity of a light beam central region; the color center defect concentration change of the deep ultraviolet fused quartz material caused by deep ultraviolet laser irradiation and the absorption change of the deep ultraviolet laser irradiation wavelength are obtained, and the transmittance change of the irradiation laser beam transmitting the deep ultraviolet fused quartz material is monitored at the same time; the performance degradation data of the deep ultraviolet fused quartz material under the irradiation of the deep ultraviolet laser and the contribution of the color center defect generated by the irradiation of the deep ultraviolet laser to the performance degradation are obtained. According to the invention, the contribution of color center defects to performance degradation can be distinguished, the performance recovery mechanism of hydrogen can be measured, and the measurement sensitivity of thermal lens signals can be effectively improved.

The embodiment of the invention provides a fuel cell performance online recovery device and method. Auxiliary hardware, namely a first electric control on-off valve Va1, a second electric control on-off valve Va2 and a third three-way diverter valve Va3, are additionally arranged on an air path of a fuel cell system. The embodiment of the invention provides a fuel cell performance online recovery device and method. Auxiliary hardware, namely a first electric control on-off valve Va1, a second electric control on-off valve Va2 and a third three-way diverter valve Va3, are additionally arranged on an air path of a fuel cell system. In the operation process of the fuel cell, the CVM monitors each single cell of the stack in real time, the impedance detector monitors the impedance of the stack in real time, and according to the comprehensive judgment of the voltage and the internal dry and wet degree of the stack, the first electric control on-off valve Va1, the second electric control on-off valve Va2 and the third three-way diverter valve Va3 are switched to adjust the air humidity and temperature entering the stack for reaction; and the effect of online recovery of the electric pile performance is achieved, so that the waste of time and manpower resources caused by corresponding recovery means operation of pile disassembly due to the degradation of the electric pile performance is avoided.

The invention provides a fuel cell system and an online performance recovery method, and belongs to the technical field of fuel cells. The fuel cell system comprises a galvanic pile power generation module, an external load, a PLC (Programmable Logic Controller) control system, a hydrogen supply system and an oxygen supply system, and further comprises a membrane electrode performance recovery module, a bipolar plate performance recovery module and an IGBT (Insulated Gate Bipolar Transistor) control circuit which are in circuit signal connection with the galvanic pile power generation module, the membrane electrode performance recovery module and the bipolar plate performance recovery module are both in circuit connection with the heat preservation and storage module and then are in circuit signal connection with the PLC system, and the IGBT control circuit is in circuit signal connection with the PLC system. According to the invention, cooperative control between the IGBT circuit control system and the PLC system is fully utilized, real-time monitoring and automatic adjustment of the performance of the internal parts of the stack are realized while continuous power supply is realized, and when the IGBT control circuit and the PLC monitor that the performance is reduced, real-time online activation can be realized through the membrane electrode performance recovery module and the bipolar plate performance recovery module, so that the reliability of the stack is improved. And the performance is quickly recovered.

The invention provides an adaptive high-performance consistent control method for a multi-agent system under denial of service (DoS) attack, and a sensing unit comprises a state sensing module carried on each agent, obtains body state information in real time, and shares information with other agents through an adjacent communication network; the information is used for error calculation and local control decision, and meanwhile, communication quality and whether interruption occurs are judged, so that the observability and anti-disturbance capability of the system are enhanced; a distributed control unit controller is deployed in each intelligent body, error mapping and performance constraint are carried out, a time-varying performance boundary is constructed, a control law and a self-adaptive estimation law are designed, a communication execution unit is responsible for transmitting a trigger signal, state estimation or control input generated by the controller among the intelligent bodies, intermittent DoS attacks can be tolerated, and the control law and the self-adaptive estimation law are designed. And an automatic retransmission and timeout judgment mechanism is provided, so that reliable transmission of key data is guaranteed. State estimation, performance recovery and efficient communication can be realized in a DoS attack environment.

The invention is suitable for the technical field of remanufacturing of key parts of aero-engines and gas turbines, and provides a laser strengthening composite cladding high-performance repairing method for an engine supporting plate. Comprising the following steps of pretreatment and damage evaluation, uncoated laser shock peening pretreatment, composite cladding material design and preparation, coaxial powder feeding laser cladding repair, post-treatment and performance recovery and final inspection and performance evaluation. According to the method, by means of a synergistic structure of coating-free LSP pretreatment and laser cladding, a pre-compressive stress layer pre-constructed on a base body is pretreated, tensile stress generated by rapid heating and cooling in the cladding process can be effectively counteracted, and crack initiation and extension of the interior of a cladding layer and a bonding interface are inhibited from the source; meanwhile, thermal stress accumulation is further reduced through partition staggered scanning and interlayer temperature control in S4, and the crack rate of a repaired area is remarkably reduced through the dual effects; performing performance transcendental recovery; and the method is pollution-free, high in reliability and good in manufacturability.

The invention provides a dual-fuel cell engine vehicle power distribution method and system, and relates to the technical field of fuel cell control, and the method comprises the steps: if the total demand power of a whole vehicle is not less than two times of the single machine idle speed power, the total demand power is equally distributed to two fuel cell engine controllers; otherwise, only starting the single engine with better performance and distributing the total required power; judging the performance difference according to the power response states of the two engines, and if the performance difference is small, keeping a power equalization strategy; otherwise, recalculating and dynamically adjusting the required power of the two engines according to the performance difference; and executing performance recovery operation on the engine with poor performance, and if the performance cannot be recovered, executing total required power redistribution. According to the method, the actual performance of the two engines is compared, the demand power ratio is corrected, the performance of the engine with the poor performance is tried to be recovered in the mode of gradually improving the power, then the final demand power distribution method is determined according to the recovery state, the comprehensive efficiency is improved, and the failure rate is reduced.

The invention particularly relates to a fuel cell online performance recovery method and device, electronic equipment and a storage medium, and the method comprises the following steps: determining a to-be-recovered cell stack from a plurality of fuel cell stacks, and respectively introducing a preset hydrogen-containing gas into anodes of the plurality of fuel cell stacks, respectively introducing mixed gas with preset concentration into the cathodes of the plurality of fuel cell stacks; closing an inlet valve and an outlet valve corresponding to the cathode of the to-be-recovered cell stack, controlling the plurality of fuel cell stacks to output a first preset current to supply power to external equipment, and when it is judged that the to-be-recovered cell stack reaches a preset recovery state under the condition that the duration of outputting the first preset current reaches a first preset duration, stopping the recovery of the to-be-recovered cell stack. And opening an inlet valve and an outlet valve corresponding to the cathode of the to-be-recovered cell stack, and controlling the plurality of fuel cell stacks to output preset working current to supply power to external equipment. Therefore, the problems that fuel cell performance recovery needs an external power supply, online operation cannot be carried out, the recovery efficiency is low and the like in related technologies are solved.

The present application relates to the technical field of system performance optimization and resource scheduling, in particular to a system performance recovery method based on equipment adjustment and a strategy support platform thereof. The method comprises: inputting system information to be recovered; sequentially performing system reorganization feasibility evaluation and optimization, function replacement and spare parts commissioning evaluation, external allocation feasibility evaluation and optimization, and generating a recovery scheme; finally integrating the scheme and encoding output by using a preset encoding rule. The equipment adjustment operation is summarized as four basic types of system reorganization, function replacement, spare parts commissioning and external allocation. The strategy support platform comprises a hardware layer and a software layer, and through the internal scheme optimization program, the method process is automatically executed, the system information is received and the encoded optimal performance recovery strategy is output. The present application realizes the automatic generation and rapid decision of the system performance recovery strategy through the structured recovery process and the unified encoding system.

The invention belongs to the field of water turbine maintenance evaluation, and discloses a water turbine maintenance effect evaluation method and system based on a multi-source data dynamic benchmark, and the method comprises the steps: collecting multi-source data; collecting historical health data of the same model to construct a dynamic reference model; multi-source data before and after maintenance is input into a model for preprocessing, a state characterization value is output, and a feature index set is calculated; on the basis of the feature index set and the dynamic weight coefficient, a comprehensive quantitative index is calculated through a weighted fusion algorithm, an analysis report is generated, the feature indexes cover the maintenance effect improvement degree, the performance recovery rate, the state deviation improvement degree and the like, and the dynamic weight coefficient is adjusted in real time according to the operation condition and the data change; through multi-source data acquisition and dynamic reference model construction, the one-sidedness of traditional single data source evaluation is avoided, the adaptability and accuracy of evaluation are enhanced, a complex maintenance effect is converted into a visual value, a scientific basis is provided for water turbine maintenance and performance optimization, the operation efficiency and reliability are improved, and the operation and maintenance cost is reduced.

The invention relates to an assembling method, a performance recovery method and a performance recovery device of electrochemical equipment, a steam generator is used for heating liquid water to obtain steam, and the steam is conveyed to an equipment inlet of the electrochemical equipment through a steam conveying pipeline to heat equipment parts of the electrochemical equipment; the perfluorinated sulfonic acid resin on the surface and the gap of the equipment component repairs the mechanical damage of the electrochemical equipment in the heating process; the electrochemical equipment is an electric pile or an electrolytic cell; the pressure controller is connected with the steam generator and is used for adjusting the steam pressure of the steam; the steam temperature controller is connected with the pressure controller and used for adjusting the steam temperature of the steam. According to the scheme, the equipment performance of the electrochemical equipment is recovered in a water vapor heating mode, on one hand, corrosion of acidic substances to metal components is avoided, on the other hand, the water vapor impurity concentration is low, and adverse effects of impurities in acid and acid residues on the electrochemical equipment are avoided.

To provide a performance recovery method of an EUV light generation system which generates EUV light by irradiating a target with a pulse laser beam.SOLUTION: A performance recovery method of an EUV light generation system executes a first evaluation step of evaluating performance of EUV light while generating the EUV light at constant repetition frequency during a first period, executes an adjustment step of adjusting the performance when an evaluation result by the first evaluation step is not within a normal range, then executes the first evaluation step as a confirmation step, executes a second evaluation step of evaluating the performance of the EUV light while generating the EUV light at the repetition frequency during a second period longer than the first period, when the evaluation result by the confirmation step is within a normal range, ends the processing when the evaluation result by the confirmation step is not within the normal range, and evaluates an index related to a position where a target is irradiated with a pulse laser beam in the first evaluation step and the second evaluation step.SELECTED DRAWING: Figure 6

The application discloses a kind of targeted performance recovery type regenerant compounding method and system, it is related to road engineering technical field, compounding method includes: obtaining the performance characterization parameter of aging asphalt in old asphalt pavement material, and constructs aging asphalt performance matrix;According to the target incorporation amount of old asphalt pavement material, the target performance matrix of regenerated asphalt is constructed;According to aging asphalt performance matrix, candidate regenerant is determined, and the performance characterization parameter of the regenerated asphalt that candidate regenerant is mixed with aging asphalt based on preset incorporation amount, and the performance matrix of regenerated asphalt is constructed;According to aging asphalt performance matrix, target performance matrix and regenerated asphalt performance matrix, multi-index mixed model and object function are constructed, and target regenerant and optimal compounding weight coefficient are determined, and the compounding scheme of targeted performance recovery type regenerant is obtained.The application can realize the recovery of aging asphalt, and is suitable for the production and application of regenerated asphalt.

This invention relates to a perovskite precursor solution remediation additive, regeneration method, and application. The remediation additive is a tetra(hydroxymethyl)phosphonium salt with the general chemical formula [P(CH2OH)4]. + ·X ‑ X represents a halogen; tetra(hydroxymethyl)phosphonium salt simultaneously acts as an organic cation source, a redox buffer for iodine species, and a coordination stabilizer for lead ions in the perovskite precursor solution. This invention demonstrates significant performance recovery: it can chemically repair aged solutions, enabling the film quality and device performance of the regenerated solution to reach over 95% of the level of a freshly prepared solution.

The invention provides a fuel cell system and an online performance recovery method thereof, and relates to the technical field of fuel cells. The fuel cell system comprises a fuel cell, a bipolar plate of the fuel cell is divided into a plurality of to-be-detected areas, each to-be-detected area is provided with a detection element, and the detection elements are used for detecting operation parameters of the fuel cell in the corresponding to-be-detected areas in real time; when the humidity of the membrane electrode in the fuel cell is recovered, micro short circuit between the anode and the cathode of the fuel cell can be realized; when the activity of the catalyst in the cathode of the fuel cell is recovered, the oxidant can be stopped from being supplied to the cathode of the fuel cell; and when the operation of the fuel cell is judged to be abnormal according to the operation parameters detected by the detection elements, the micro short circuit between the anode and the cathode of the fuel cell needs to be removed and / or the oxidant needs to be provided for the cathode of the fuel cell again. On the basis, the adaptive capacity of the fuel cell system can be remarkably improved, and the operation efficiency, service life, safety and stability of the fuel cell system are guaranteed.

The invention discloses a fuel cell stack and an inner membrane electrode in-situ performance detection and performance recovery method thereof. The fuel cell stack comprises a plurality of inner membrane electrodes stacked in series and bipolar plates arranged between the adjacent inner membrane electrodes, the cathode side and the anode side of each bipolar plate are respectively provided with a cathode tab and an anode tab, and the cathode tab and the anode tab extend outwards from the edge of the corresponding bipolar plate along the direction parallel to the plane of the bipolar plate; the tab structure is arranged on the bipolar plate of the electric pile, so that independent maintenance and performance recovery of a fault membrane electrode are effectively realized, the overall service life of the electric pile is guaranteed, and secondary damage to the membrane electrode is avoided.

The application provides a fuel cell system and an online performance recovery method, and belongs to the technical field of fuel cells. The fuel cell system comprises a stack power generation module, an external load, a PLC control system, a hydrogen supply system and an oxygen supply system, and further comprises a membrane electrode performance recovery module, a bipolar plate performance recovery module and an IGBT control circuit which are connected with the circuit signal of the stack power generation module; the membrane electrode performance recovery module and the bipolar plate performance recovery module are connected with the circuit of a heat preservation and heat storage module and then connected with the circuit signal of the PLC system; and the IGBT control circuit is connected with the circuit signal of the PLC system. The application fully utilizes the cooperative control between the IGBT circuit control system and the PLC system, realizes real-time monitoring and automatic adjustment of the performance of the internal components of the stack while continuously supplying power, and realizes real-time online activation and rapid performance recovery through the membrane electrode performance recovery module and the bipolar plate performance recovery module when the IGBT control circuit and the PLC monitor that the performance decreases.

The invention relates to a progressive lightweight method for a high-efficiency self-attention model, which belongs to the technical field of artificial intelligence, and comprises the following steps of: quantizing a weight to a higher bit for intermediate transition, and gradually compressing to a target bit, so that the model can gradually adapt to distribution change caused by quantization in an optimization process, and the weight of the model is reduced. Therefore, the performance loss caused by the quantization error is obviously reduced. According to the mode of combining staged transition and mixed granularity reconstruction, the performance recovery capability of the low-bit quantization model is improved, so that the model can still maintain relatively high accuracy under extremely low bit representation, and has relatively high robustness and practicability.

The invention discloses a multi-dimensional evaluation and intelligent judgment system for maintenance of an industrial energy power system. The system comprises an operation performance index acquisition module, a feature data acquisition module, a weight inference and correction reference generation module, a maintenance effect recovery rate calculation module, a hierarchical maintenance effect judgment module and a hierarchical level dynamic adjustment mechanism. The system dynamically deduces a physical characteristic weight through operation performance change before maintenance, generates a corrected maintenance target benchmark, calculates a comprehensive recovery rate based on an actual performance recovery degree after maintenance, hierarchically judges a maintenance effect grade according to the comprehensive recovery rate, introduces a dynamic monitoring window, finely adjusts a judgment threshold according to a performance fluctuation trend, and finally judges the maintenance effect grade. Therefore, accurate quantitative evaluation of the maintenance effect and intelligent output of a subsequent operation and maintenance strategy are realized. The method has the advantages of being high in adaptability, high in judgment accuracy and good in abnormal disturbance resistance.

The invention provides a reinforcement learning-based performance recovery control method for a vertical landing stage of a short vertical propulsion system. According to the optimization method, the degradation condition of the short vertical propulsion system is considered in the design of a controller through a reinforcement learning algorithm, and a plurality of thrust outputs of the short vertical propulsion system can still be kept stable under the disturbance condition of component degradation through a reinforcement learning pre-trained intelligent agent; the short vertical aircraft is helped to keep the balance of the pitching attitude under the condition that the short vertical aircraft degenerates in the vertical landing stage.

The patent gives a short vertical propulsion system vertical landing phase performance recovery control method based on reinforcement learning. The optimization method considers the degradation of the short vertical propulsion system in the design of the controller through the reinforcement learning algorithm. Through the pre-training of the intelligent agent by reinforcement learning, the multiple thrust outputs of the short vertical propulsion system can still maintain stability under the disturbance of component degradation, helping the short vertical aircraft to maintain the balance of the pitch attitude in the vertical landing phase under the condition of degradation.

An energy storage management system and a flight planning system and related methods and program products for an electric aircraft are provided. Systems include a computing device configured to: calculate a performance capability envelope of an energy storage system for an electric aircraft based on a mission profile for a future usage period of the energy storage system and a computational model of the energy storage system. The mission profile includes at least one of an expected energy demand and an expected power demand during at least a portion of a flight of the electric aircraft. The computing device implements a corrective action, such as conducting a performance recovery routine, in response to a comparison of the mission profile to the calculated performance capability envelope indicating a performance deficiency where the energy storage system cannot meet the mission profile within a preset tolerance. The computational model considers memory effect degradation.

The application discloses a crack repair method for a large mold, and belongs to the technical field of mold repair, and comprises the following contents: S1, stress field evaluation and repair; S2, synergistic energy field stress regulation pretreatment: based on a residual stress distribution cloud picture, local cryogenic treatment and pulse current composite energy field treatment are applied to a repair area; S3, low-stress damage removal: in the area treated in the step S2, cracks are removed by mechanical processing, and a geometric bevel with a mechanical interlocking effect is formed; S4, gradient welding repair; S5, zoned intelligent aging post-treatment; S6, adaptive processing and performance recovery; through the whole-process stress management system of stress field evaluation-composite energy field pretreatment-zoned intelligent aging, the application is specially aimed at the characteristics of complex structure and uneven stress distribution of the large mold, effectively releases deep residual stress, and solves the problem of secondary cracks caused by superimposed thermal stress in the traditional repair method.

The invention provides a self-adaptive resource scheduling method and device for a data center, and the method comprises the steps: obtaining the service quality state of a running application program at the beginning of a resource scheduling period; setting the resource scheduling granularity in the resource scheduling period through the service quality state; and carrying out resource scheduling on beneficiary applications and victim applications in the application program in the resource scheduling period according to the resource scheduling granularity. The invention further provides electronic equipment and a computer readable storage medium. According to the resource scheduling method, a nonlinear control strategy which is tightly coupled with the urgency quantitative model is adopted, the intelligent resource scheduling effect is achieved through specifically-designed interval and granularity mapping, and finally the technical purposes of reducing feedback delay, accelerating performance recovery and improving the resource utilization rate are achieved cooperatively.

This technology provides a way to estimate, along with the environmental impact, whether reusing used equipment will be beneficial to customers and businesses throughout the entire lifecycle of the equipment. [Solution] The equipment value diagnostic system performs the following steps: a deterioration trend prediction step that uses equipment specification information, operation history information, deterioration prediction model information, and reuse condition information to predict the deterioration trend in terms of performance and the probability of maintenance work occurring; an event prediction step that uses the results of the deterioration trend prediction to predict events that will occur during the reuse period, including an evaluation of each maintenance work to be performed when the event occurs and the performance recovery caused by the maintenance work; and a cost and environmental load estimation step that uses cost and environmental load information and the events that will occur to estimate the cost and environmental load of the reuser.