Site-based maintenance scheme design method and system for complex electromechanical equipment, equipment, medium and product

Abstract

The invention discloses a condition-based maintenance scheme design method and system for complex electromechanical equipment, equipment, a medium and a product, and relates to the field of electromechanical equipment, and the method comprises the steps: obtaining fault data, actual service time and expected service time of the complex electromechanical equipment in a whole period; obtaining a fault probability density function based on the fault data of the complete period of the complex electromechanical equipment; based on the starting time and the expected service time of the loss fault period, determining the total maintenance cost corresponding to different maintenance time intervals and the maximum value of the fault probability density function of the corresponding loss fault period; constructing a comprehensive cost function based on the total maintenance cost corresponding to different maintenance time intervals and the maximum value of the fault probability density function of the corresponding loss fault period; calculating an optimal maintenance time interval based on the comprehensive cost function; and determining a condition-based maintenance scheme based on the optimal maintenance time interval. The working efficiency of the equipment can be improved, and the service life can be prolonged.

Description

Technical Field

[0001] The present application relates to the field of electromechanical equipment, and particularly to a method, system, device, medium and product for designing a condition-based maintenance plan for complex electromechanical equipment. Background Art

[0002] With the continuous improvement of the intelligence and structural complexity of industrial electromechanical equipment, the failure probability density curve often presents a typical bathtub shape, which can clearly reflect the change trend of the failure rate during the entire life cycle of the electromechanical equipment from being put into use to being scrapped. This trend analysis is of great significance for understanding the life and maintenance cycle of the electromechanical equipment. Therefore, it is particularly important to design a condition-based maintenance plan for the bathtub-shaped failure probability density curve.

[0003] The bathtub curve includes: the early failure period, the accidental failure period, and the wear-out failure period. The maintenance strategies for the bathtub curve are as follows: For the early failure period, although the failure probability density is high, since the components of the electromechanical equipment are in the running-in stage, and as the running-in time lengthens, the failure probability density will rapidly decrease. Therefore, in the early failure period, when a failure occurs, only the work needs to be stopped for troubleshooting and repair. For the accidental failure period, the overall failure probability density is low and the operation is relatively stable. It is not suitable for major repairs or component replacements, and only stable operation needs to be maintained. However, for the wear-out failure period, currently, only after the components of the electromechanical equipment are severely worn and a failure occurs, the work is stopped for inspection and repair, which will greatly reduce the working efficiency of the equipment. Summary of the Invention

[0004] The purpose of the present application is to provide a method, system, device, medium and product for designing a condition-based maintenance plan for complex electromechanical equipment, which can improve the working efficiency and service life of the equipment.

[0005] To achieve the above purpose, the present application provides the following solutions:

[0006] In the first aspect, the present application provides a method for designing a condition-based maintenance plan for complex electromechanical equipment, including:

[0007] Obtaining the full-cycle failure data, actual service time, and expected service time of the complex electromechanical equipment; the full cycle includes: the early failure period, the accidental failure period, and the wear-out failure period;

[0008] Based on the full-cycle failure data, using the polynomial fitting method to obtain the cumulative failure function of the complex electromechanical equipment, and taking the derivative of the cumulative failure function to obtain the failure probability density function;

[0009] Based on the start time of the wear-out failure period and the expected service time, determining different inspection time intervals and the corresponding number of inspections;

[0010] Based on the different maintenance time intervals and the corresponding number of maintenance times, determine the total maintenance costs corresponding to different maintenance time intervals;

[0011] Based on the different maintenance time intervals and the failure probability density function, determine the maximum value of the failure probability density function during the wear-out failure period corresponding to different maintenance time intervals;

[0012] Based on the total maintenance costs corresponding to different maintenance time intervals and the maximum value of the failure probability density function during the wear-out failure period corresponding to different maintenance time intervals, construct a comprehensive cost function;

[0013] Based on the comprehensive cost function, calculate the optimal maintenance time interval;

[0014] Based on the optimal maintenance time interval, determine the condition-based maintenance plan.

[0015] In a second aspect, the present application provides a condition-based maintenance plan design system for complex electromechanical equipment, including:

[0016] An acquisition module, configured to acquire the full-cycle failure data, actual service time, and expected service time of the complex electromechanical equipment; the full cycle includes: an early failure period, a random failure period, and a wear-out failure period;

[0017] A fitting and derivative calculation module, configured to obtain the cumulative failure function of the complex electromechanical equipment by using the polynomial fitting method based on the full-cycle failure data, and take the derivative of the cumulative failure function to obtain the failure probability density function;

[0018] A time interval determination module, configured to determine different maintenance time intervals and the corresponding number of maintenance times based on the start time of the wear-out failure period and the expected service time;

[0019] A total maintenance cost determination module, configured to determine the total maintenance costs corresponding to different maintenance time intervals based on the different maintenance time intervals;

[0020] A maximum value determination module of the failure probability density function, configured to determine the maximum value of the failure probability density function during the wear-out failure period corresponding to different maintenance time intervals based on the different maintenance time intervals and the failure probability density function;

[0021] A construction module, configured to construct a comprehensive cost function based on the total maintenance costs corresponding to different maintenance time intervals and the maximum value of the failure probability density function during the wear-out failure period corresponding to different maintenance time intervals;

[0022] An optimal maintenance time interval calculation module, configured to calculate the optimal maintenance time interval based on the comprehensive cost function;

[0023] The condition-based maintenance plan determination module is used to determine a condition-based maintenance plan based on the optimal inspection time interval.

[0024] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method for designing a condition-based maintenance plan for complex electromechanical equipment described in the first aspect above.

[0025] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the method for designing a condition-based maintenance plan for complex electromechanical equipment described in the first aspect above.

[0026] In a fifth aspect, the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the steps of the method for designing a condition-based maintenance plan for complex electromechanical equipment described in the first aspect above.

[0027] According to the specific embodiments provided by the present application, the present application has the following technical effects:

[0028] The present application provides a method, system, device, medium and product for designing a condition-based maintenance plan for complex electromechanical equipment. By using the full-cycle fault data, actual service time and expected service time of complex electromechanical equipment, the total maintenance cost corresponding to different inspection time intervals and the highest value of the fault probability density function of the wear-out fault period corresponding to different inspection time intervals are determined, so as to construct a comprehensive cost function, and then calculate the optimal inspection time interval and determine the condition-based maintenance plan, enabling the complex electromechanical equipment to complete the maintenance of the electromechanical equipment before the occurrence of a fault, preventing the complex electromechanical equipment from failing, reducing the probability of failure of the complex electromechanical equipment, thereby improving the working efficiency of the electromechanical equipment, and keeping the fault probability density curve of the wear-out fault period of the complex electromechanical equipment at a relatively low level all the time, and improving the service life of the electromechanical equipment. Description of the Drawings

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0030] Figure 1 It is a schematic flowchart of a method for designing a condition-based maintenance plan for complex electromechanical equipment provided by an embodiment of the present application;

[0031] Figure 2Schematic diagram of the failure probability density curve of a domestic CNC grinding machine of a certain model provided by an embodiment of the present application;

[0032] Figure 3 Schematic diagram of the maintenance cost under different maintenance time intervals provided by an embodiment of the present application;

[0033] Figure 4 Schematic diagram of the highest maintenance failure probability density in the wear-out failure period under different maintenance time intervals provided by an embodiment of the present application;

[0034] Figure 5 Schematic diagram of the failure probability density curve of preventive maintenance provided by an embodiment of the present application;

[0035] Figure 6 Schematic diagram of the comprehensive cost function values under different maintenance time intervals when a = 0.05 and b = 0.95 provided by an embodiment of the present application;

[0036] Figure 7 Schematic diagram of the failure probability density curve when the maintenance time interval is 400 hours provided by an embodiment of the present application;

[0037] Figure 8 Schematic diagram of the structure of a computer device provided by an embodiment of the present application. Detailed implementation manners

[0038] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0039] Glossary: Preventive maintenance refers to the act of regularly inspecting electromechanical equipment and replacing aging parts before the equipment fails. Since preventive maintenance is generally carried out during the non-working period of electromechanical equipment, the preventive maintenance strategy does not include downtime costs. Preventive maintenance can avoid the losses caused by failure downtime to the greatest extent.

[0040] To make the above objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation manners.

[0041] In an exemplary embodiment, as Figure 1As shown, a method for designing an on-condition maintenance plan for complex electromechanical equipment is provided. This method is executed by a computer device, which can be specifically executed by a computer device such as a terminal or a server alone, or jointly executed by a terminal and a server. In the embodiments of the present application, this method is described by taking its application to a server as an example, and includes the following steps 1 to 8. Among them:

[0042] Step 1: Obtain the full-cycle failure data, actual service time, and expected service time of the complex electromechanical equipment; the full cycle includes: early failure period, accidental failure period, and wear-out failure period.

[0043] Specifically, the complex electromechanical equipment is a domestic numerical control grinding machine of a certain model. As Figure 2 shown is the failure probability density curve of a domestic numerical control grinding machine of a certain model. The full-cycle service time (i.e., the actual service time) of this domestic numerical control grinding machine is 18,000 hours. The final on-condition maintenance plan for electromechanical equipment should not only consider extending the low-failure-probability density usage period of the equipment as much as possible, but also take into account the maintenance cost. Assuming that the unit price for one maintenance is 100 yuan, the relationship between the maintenance interval time and the maintenance cost is as Figure 3 shown. After on-condition maintenance, the service cycle of this domestic numerical control grinding machine can be extended. Therefore, Figure 3 、 Figure 4 、 Figure 6 、 Figure 7 are all analyzed and calculated according to the extended service cycle (i.e., the expected service time) of 28,000 hours. As the maintenance time interval extends, the maintenance cost shows a downward trend. The relationship between different maintenance interval times and the highest failure probability density in the wear-out failure period is as Figure 4 shown. It can be seen from the figure that as the maintenance time interval extends, the highest failure probability density in the wear-out failure period shows an upward trend.

[0044] Step 2: Based on the full-cycle failure data, use the polynomial fitting method to obtain the cumulative failure function of the complex electromechanical equipment, and take the derivative of the cumulative failure function to obtain the failure probability density function.

[0045] Specifically, the expression of the cumulative failure function is:

[0046] W(t) = p1·t 6 + p2·t 5 + p3·t 4 + p4·t 3 + p5·t 2 + p6·t + p7.

[0047] Among them, W(t) is the cumulative failure function value of the complex mechatronic equipment; p1, p2, p3, p4, p5, p6, and p7 are all coefficients; t is the usage time of the complex mechatronic equipment. In this embodiment, p1 = -1.107×10 -23 , p2 = 7.476×10 -19 , p3 = -1.96×10 -14 , p4 = 2.557×10 -10 , p5 = -1.714×10 -6 , p6 = 0.00584, p7 = 0.6769.

[0048] The expression of the failure probability density function is:

[0049] f(t) = 6·p1·t 5 +5·p2·t 4 +4·p3·t 3 +3·p4·t 2 +2·p5·t + p6.

[0050] Among them, f(t) is the failure probability density function value of the complex mechatronic equipment.

[0051] Step 3: Based on the start time of the wear-out failure period and the expected service life, determine different maintenance time intervals and the corresponding number of maintenance times.

[0052] Specifically, by calculating the difference between the expected service life and the start time of the wear-out failure period, the number of maintenance times is calculated according to different maintenance time intervals. The calculation formula for the number of maintenance times is:

[0053]

[0054] Among them, m is the number of maintenance times; T q is the expected service life; t2 is the start time of the wear-out failure period; T j is different maintenance time intervals.

[0055] Step 4: Based on different maintenance time intervals and the corresponding number of maintenance times, determine the total maintenance cost corresponding to different maintenance time intervals.

[0056] Step 5: Based on different maintenance time intervals and the failure probability density function, determine the maximum value of the failure probability density function of the wear-out failure period corresponding to different maintenance time intervals. The maximum value of the failure probability density function is the value of the failure probability density function f(T j +t2) at the moment (T j +t2).

[0057] Step 6: Based on the total maintenance cost corresponding to different maintenance time intervals and the maximum value of the failure probability density function during the wear-out failure period corresponding to different maintenance time intervals, construct a comprehensive cost function.

[0058] Specifically, in order to better calculate the optimal maintenance time interval, construct a comprehensive cost function of the total maintenance cost and the maximum value of the failure probability density function during the wear-out failure period, and perform normalization processing. The expression of the comprehensive cost function is:

[0059]

[0060] where y is the value of the comprehensive cost function; a is the proportionality factor of the total maintenance cost; b is the proportionality factor of the maximum value of the failure probability density function during the wear-out failure period; P is the total maintenance cost; P max is the maximum total maintenance cost under different maintenance time intervals; F is the maximum value of the failure probability density function during the wear-out failure period; F max is the maximum value of the failure probability density function during the wear-out failure period under different maintenance time intervals.

[0061] Step 7: Based on the comprehensive cost function, calculate the optimal maintenance time interval.

[0062] Specifically, assume that the proportionality factor of the total maintenance cost in the comprehensive cost function is 5%, and the proportionality factor of the maximum value of the failure probability density function during the wear-out failure period is 95% (i.e., a = 0.05, b = 0.95). Figure 6 is the curve of the comprehensive cost function under different maintenance time intervals when a = 0.05 and b = 0.95. As can be seen from the figure, the lowest point of the comprehensive cost function is the optimal solution, that is, perform maintenance once every 400 hours, and the optimal maintenance time interval is obtained as 400 hours.

[0063] Step 8: Based on the optimal maintenance time interval, determine the condition-based maintenance plan. Specifically, it includes:

[0064] Step 81: Judge whether the optimal maintenance time interval is less than or equal to the minimum time interval of the actual occurrence of failures during the wear-out failure period.

[0065] Step 82: If so, based on the optimal maintenance time interval, determine the condition-based maintenance plan.

[0066] Step 83: If not, adjust the proportionality factor in the comprehensive cost function and recalculate the optimal maintenance time interval.

[0067] Specifically, assume that the factor θ of restoring to the original state is 0, that is, restoring to new. Let the start time of the wear-out failure period be t2. Figure 5It is the failure probability density curve under the preventive maintenance decision-making model. The derivation formula of the failure probability density under the preventive maintenance decision-making model is as follows:

[0068]

[0069] That is, the expression of the condition-based maintenance plan is:

[0070] t ∈ [t2 + (n - 1)T, t2 + nT], f n (t) = f n-1 (t + (1 - θ)·(n - 1)T);

[0071] Among them, t is the usage time of the complex electromechanical equipment; t2 is the starting time of the wear-out failure period; n is the nth preventive maintenance; T is the optimal maintenance time interval; f n (t) is the value of the failure probability density function of the wear-out failure period of the nth preventive maintenance; f n-1 is the value of the failure probability density function of the wear-out failure period of the (n - 1)th preventive maintenance; θ is the factor of the degree of repair as good as new.

[0072] According to the actual situation, it is known that the minimum time interval of actual failures in the wear-out failure period of a certain domestic CNC grinding machine is 510 hours, and the preventive maintenance time interval should be less than 510 hours. Combining with the lowest point of the cost function, the maintenance time interval is set to 400 hours, and the comprehensive cost function value is 0.43288. If the end time is 28000 hours, the total maintenance cost is 2500 yuan. Figure 7 It is the failure probability density curve with a maintenance time interval of 400 hours. When the maintenance time interval is 400 hours, the comprehensive cost function is the lowest, and it meets the actual situation that the maintenance time interval is less than the failure time interval. Therefore, it is more reasonable to set the maintenance time interval to 400 hours.

[0073] When the maintenance time interval is set to 400 hours (preventive maintenance is more effective), the total maintenance cost of the preventive condition-based maintenance plan is 2500 yuan. The comprehensive cost function is 0.43288, and the comprehensive cost function value is relatively low. There is a small fluctuation range in the later failure probability density curve, but the overall probability density is stabilized at around 0.001. The overall trend is that the smaller the maintenance time interval, the smaller the later probability density value, and the more stable the curve, but the maintenance cost increases accordingly.

[0074] The beneficial effects of a condition-based maintenance plan design method for complex electromechanical equipment proposed in this application are mainly manifested in:

[0075] (1) By determining the condition-based maintenance plan, the situation where complex electromechanical equipment cannot be used due to sudden failures during operation, resulting in low work efficiency, is reduced. It is possible to complete the maintenance of the electromechanical equipment before a failure occurs in complex electromechanical equipment, thereby preventing the occurrence of failures in complex electromechanical equipment and improving the work efficiency of the electromechanical equipment.

[0076] (2) Through the regular maintenance of the wear-out failure period of complex electromechanical equipment by the condition-based maintenance plan, the probability density curve can be kept stable at a relatively low level all the time, which is equivalent to extending the service life cycle of complex electromechanical equipment and improving the service life of complex electromechanical equipment.

[0077] Based on the same inventive concept, the embodiment of the present application also provides a condition-based maintenance plan design system for complex electromechanical equipment. The implementation solutions provided by this system to solve problems are similar to those described in the above method. Therefore, the specific limitations in one or more of the following embodiments of the condition-based maintenance plan design system for complex electromechanical equipment can refer to the limitations on the condition-based maintenance plan design method for complex electromechanical equipment in the above text, and will not be elaborated here.

[0078] In an exemplary embodiment, a condition-based maintenance plan design system for complex electromechanical equipment is provided, including:

[0079] An acquisition module, configured to acquire the full-cycle fault data, actual service time, and expected service time of complex electromechanical equipment; the full cycle includes: early fault period, accidental fault period, and wear-out fault period.

[0080] A fitting and derivative module, configured to obtain the cumulative fault function of complex electromechanical equipment by using the polynomial fitting method based on the full-cycle fault data, and take the derivative of the cumulative fault function to obtain the fault probability density function.

[0081] A time interval determination module, configured to determine different maintenance time intervals and corresponding maintenance times based on the start time of the wear-out fault period and the expected service time.

[0082] A total maintenance cost determination module, configured to determine the total maintenance cost corresponding to different maintenance time intervals based on different maintenance time intervals.

[0083] A maximum value determination module of the fault probability density function, configured to determine the maximum value of the fault probability density function of the wear-out fault period corresponding to different maintenance time intervals based on different maintenance time intervals and the fault probability density function.

[0084] A construction module, configured to construct a comprehensive cost function based on the total maintenance cost corresponding to different maintenance time intervals and the maximum value of the fault probability density function of the wear-out fault period corresponding to different maintenance time intervals.

[0085] The optimal maintenance time interval calculation module is used to calculate the optimal maintenance time interval based on the comprehensive cost function.

[0086] The condition-based maintenance plan determination module is used to determine the condition-based maintenance plan based on the optimal maintenance time interval.

[0087] In an exemplary embodiment, a computer device is provided. The computer device can be a server or a terminal, and its internal structure diagram can be as Figure 8 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the optimal maintenance time. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it implements a method for designing a condition-based maintenance plan for complex electromechanical equipment.

[0088] Those skilled in the art can understand that Figure 8 the structure shown in

[0089] is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements. In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, it implements the steps in the above method embodiments.

[0090] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by the processor, it implements the steps in the above method embodiments.

[0091] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0092] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tapes, floppy disks, flash memories, optical memories, high-density embedded non-volatile memories, resistive random access memories (ReRAM), magnetoresistive random access memories (MRAM), ferroelectric random access memories (FRAM), phase change memories (PCM), graphene memories, etc. Volatile memories can include random access memory (RAM) or external cache memories, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0093] The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0094] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0095] In this text, specific examples are used to illustrate the principle and implementation manner of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A method for designing a condition-based maintenance plan for complex electromechanical equipment, characterized in that: The condition-based maintenance scheme design method for complex electromechanical equipment includes: Obtain full-cycle fault data, actual service time, and expected service time of complex electromechanical equipment; the full cycle includes: early failure period, accidental failure period, and wear and tear failure period; Based on the full-cycle fault data, a polynomial fitting method is used to obtain a cumulative fault function of the complex electromechanical equipment, and the cumulative fault function is derived to obtain a fault probability density function; Determining different maintenance time intervals and corresponding maintenance times based on the start time of the wear and tear failure period and the expected service time; Based on the different maintenance time intervals and the corresponding maintenance times, determining the total maintenance costs corresponding to the different maintenance time intervals; Based on the different maintenance time intervals and the failure probability density function, determining the maximum value of the failure probability density function of the wear failure period corresponding to the different maintenance time intervals; Based on the total maintenance cost corresponding to different maintenance time intervals and the maximum value of the failure probability density function of the wear and tear failure period corresponding to different maintenance time intervals, a comprehensive cost function is constructed; Based on the comprehensive cost function, calculating the optimal maintenance time interval; Based on the optimal maintenance time interval, a maintenance plan is determined based on the situation.

2. The condition-based maintenance solution design method for complex electromechanical equipment according to claim 1 is characterized in that: The expression of the cumulative fault function is: W(t)=p1·t 6 +p2·t 5 +p3·t 4 +p4·t 3 +p5·t 2 +p6·t+p7; Wherein, W(t) is the cumulative fault function value of the complex electromechanical equipment; p1, p2, p3, p4, p5, p6 and p7 are all coefficients; t is the usage time of the complex electromechanical equipment.

3. The condition-based maintenance solution design method for complex electromechanical equipment according to claim 1 is characterized in that: The expression of the fault probability density function is: f(t)=6·p1·t 5 +5·p2·t 4 +4·p3·t 3 +3·p4·t 2 +2·p5·t+p6; Among them, f(t) is the failure probability density function value of the complex electromechanical equipment; p1, p2, p3, p4, p5 and p6 are all coefficients; t is the use time of the complex electromechanical equipment.

4. The condition-based maintenance solution design method for complex electromechanical equipment according to claim 1 is characterized in that: The expression of the comprehensive cost function is: Among them, y is the value of the comprehensive cost function; a is the proportion factor of the total maintenance cost; b is the proportion factor of the maximum value of the failure probability density function during the wear and tear failure period; P is the total maintenance cost; P max is the maximum total maintenance cost under different maintenance time intervals; F is the maximum value of the failure probability density function during the wear and tear failure period; F max It is the maximum value of the failure probability density function of the maximum wear failure period under different maintenance time intervals.

5. The condition-based maintenance solution design method for complex electromechanical equipment according to claim 1 is characterized in that: Based on the optimal maintenance time interval, a maintenance plan is determined, which specifically includes: Determining whether the optimal maintenance time interval is less than or equal to the minimum time interval of actual failure occurrence during the wear and tear failure period; If yes, then determine a maintenance plan based on the optimal maintenance time interval; If not, the proportional factor in the comprehensive cost function is adjusted to recalculate the optimal maintenance time interval.

6. The condition-based maintenance solution design method for complex electromechanical equipment according to claim 1 is characterized in that: The expression of the condition-based maintenance plan is: t∈[t2+(n-1)T,t2+nT],f n (t)=f n-1 (t+(1-θ)·(n-1)T); Where t is the usage time of complex electromechanical equipment; t2 is the time when the wear and tear failure period begins; n is the nth preventive maintenance; T is the optimal maintenance time interval; f n (t) is the failure probability density function value of the wear and tear failure period of the nth preventive maintenance; f n-1 is the failure probability density function value of the wear and tear failure period of the n-1th preventive maintenance; θ is the repair degree factor.

7. A condition-based maintenance plan design system for complex electromechanical equipment, characterized in that: The condition-based maintenance solution design method for complex electromechanical equipment as described in any one of claims 1 to 6, wherein the condition-based maintenance solution design system for complex electromechanical equipment comprises: An acquisition module is used to acquire full-cycle fault data, actual service time and expected service time of complex electromechanical equipment; the full cycle includes: early failure period, accidental failure period and wear and tear failure period; A fitting and derivation module, used to obtain a cumulative fault function of complex electromechanical equipment based on the full-cycle fault data by using a polynomial fitting method, and to obtain a fault probability density function by deriving the cumulative fault function; A time interval determination module, used to determine different maintenance time intervals and corresponding maintenance times based on the start time of the wear and failure period and the expected service time; A total maintenance cost determination module, used to determine the total maintenance costs corresponding to different maintenance time intervals based on the different maintenance time intervals; A maximum value determination module for a fault probability density function, configured to determine the maximum value of the fault probability density function of the wear and tear fault period corresponding to different maintenance time intervals based on the different maintenance time intervals and the fault probability density function; A construction module is used to construct a comprehensive cost function based on the total maintenance cost corresponding to different maintenance time intervals and the maximum value of the failure probability density function of the wear and tear failure period corresponding to different maintenance time intervals; An optimal maintenance time interval calculation module, used to calculate the optimal maintenance time interval based on the comprehensive cost function; A condition-based maintenance plan determination module is used to determine a condition-based maintenance plan based on the optimal maintenance time interval.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for designing condition-based maintenance solutions for complex electromechanical equipment as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for designing a condition-based maintenance plan for complex electromechanical equipment described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for designing a condition-based maintenance plan for complex electromechanical equipment described in any one of claims 1 to 6 is implemented.

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