Method for systematically identifying field failure influence factors of photovoltaic air conditioner components

Abstract

The invention provides a method for systematically identifying field failure influence factors of photovoltaic air conditioner components. The method comprises the following steps: defining the composition of a photovoltaic air conditioning system through a hierarchical structure, including a system, subsystems, units, components and parts / components, analyzing the field failure mode of the components from three dimensions of function, performance and structure, forming a feature matrix, and constructing a field failure judgment matrix; determining a failure mode matrix through logic analysis, and identifying a specific failure mode of the component; and on the basis of the failure mode and the influence factor category, analyzing and identifying the field failure influence factor of each component. The field failure influence factors are divided into natural loss factors and working loss factors, the field failure influence factors of the photovoltaic air conditioner components can be comprehensively and accurately recognized through the method, a scientific basis is provided for system design, maintenance and optimization, and the reliability and economical efficiency of the system are effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of on-site reliability analysis, and in particular relates to a method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components. Background Art

[0002] The failure of photovoltaic air conditioners is caused by the failure of their specific components. There are many types and quantities of components that make up photovoltaic air conditioners. Different components have different functions, performance and structural requirements, and their field failure modes vary greatly, and the failure influencing factors are also different. Therefore, the study proposes a method for systematically identifying the factors affecting the field failure of photovoltaic air conditioner components. Comprehensively and systematically identifying the factors affecting the field failure of a large number of different types of components of photovoltaic air conditioners is not only a need for system reliability analysis and design, but also the basis for system operation and maintenance decisions.

[0003] At present, there are obvious limitations in the research on the factors affecting the on-site failure of photovoltaic air-conditioning components. Most of the research work focuses only on specific components or subsystems, and fails to consider all components and their interrelationships from the perspective of the overall system. This research method lacks a comprehensive and systematic grasp of the entire photovoltaic air-conditioning, and cannot cover the full picture of the various failure conditions and influencing factors of the many components in photovoltaic air-conditioning. Therefore, in order to comprehensively and accurately identify the factors affecting the on-site failure of photovoltaic air-conditioning components, it is necessary to study and propose a scientific method for identifying the factors affecting the on-site failure of photovoltaic air-conditioning components. Summary of the invention

[0004] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and provide a method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] The present invention provides a method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components, comprising the following steps:

[0007] Determine the components by defining the composition level of photovoltaic air conditioners;

[0008] Identify the field failure modes of components from the three dimensions of function, performance and structure;

[0009] Determine the categories of factors affecting field failure of components;

[0010] Based on the field failure modes of components and the categories of field failure influencing factors, analyze and determine the specific failure influencing factors of each component.

[0011] Furthermore, the photovoltaic air conditioner is composed of five levels: system, subsystem, unit, assembly and parts or components.

[0012] Further, the system S is a photovoltaic air conditioner delivered to the customer in a complete form and having all the functions that meet the customer's requirements or are predetermined, including a photovoltaic power generation subsystem P and an air conditioning subsystem C;

[0013] The subsystem S i (i=P,C) is the component that completes or realizes a specific function in the product, which is composed of S ij It is composed of units;

[0014] The unit S ij (j=1,2,…,J) completes or realizes a predetermined function in the subsystem, and is ijk It is formed by assembling components, J is the number of units;

[0015] The component S ijk (k=1,2,…,K) consists of two or more parts / components S ijkv The composition is that some of them have the characteristics of being separable, and some of them have the characteristics of being inseparable or not being separable. K is the number of components.

[0016] The parts or components S ijkv (v=1,2,…,V) is the smallest component of the system, which has the characteristic of being inseparable, and V is the number of parts or components;

[0017] The parts or components and the inseparable components constitute the basic components of the system S, collectively referred to as components SIJ m (m=1,2,…w), w is the number of components;

[0018] Further, the identifying of the on-site failure mode of the components comprises the following steps:

[0019] Determine the function, performance and structural requirements of the components to form a feature matrix C m ;

[0020] Based on the existing field failure and performance degradation data, the field failure judgment matrix CF is constructed m ;

[0021] Through the feature matrix C m and the field failure determination matrix CF m Logical analysis and judgment to form the failure mode matrix C FM ;

[0022] According to the failure mode matrix C FM Identify the component SIJm Field Failure Mode FM mi (i=1,2,…,n m ).

[0023] Furthermore, the feature matrix C m for:

[0024] C m =[F (m,i) P (m,i) S (m,i) ] T

[0025] Among them, F (m,i) , P (m,i) and S (m,i) Respectively represent the components SIJ m The characteristic row vector is composed of the i-th (i=1,2,…,n) requirements of the three aspects of function, performance and structure, T is the transpose, m=1,2,…w, w is the number of components.

[0026] Furthermore, the field failure determination matrix CF m for:

[0027] CF m =[J (m,1) J (m,2) J (m,3) ]

[0028] Among them, J (m,1) , J (m,2) and J (m,3) Based on the components SIJ m The criterion column vector of functional failure, performance failure and structural failure constructed from the existing field failure and performance degradation data or information, m = 1, 2, ... w, w is the number of components.

[0029] Furthermore, the failure mode matrix C FM for:

[0030]

[0031] Among them, ◇ is a logic analysis judgment symbol, which expresses the analysis and judgment of each feature vector in the feature matrix using the three criterion column vectors in the failure judgment matrix. The logic analysis judgment symbol ◇ conforms to the following judgment formula:

[0032]

[0033] F (m,i) , P (m,i) and S (m,i) Respectively represent the components SIJm The characteristic row vector composed of the i-th (i=1,2,…,n) requirements of the three aspects of function, performance and structure, J (m,1) , J (m,2) and J (m,3) Based on the components SIJ m The criterion column vector of functional failure, performance failure and structural failure constructed from the existing field failure and performance degradation data or information, m = 1, 2, ... w, w is the number of components.

[0034] Furthermore, the categories of factors affecting component field failure include natural wear and tear factors and operational wear and tear factors.

[0035] Furthermore, the natural loss factors include temperature, temperature difference, humidity, sunshine, solar radiation, wind speed, rainfall, dust and SO 2 / NO 2 concentration;

[0036] The work wear factors are basic influencing factors that determine the user's willingness to use and the system's working time, including temperature, temperature difference, humidity, sunshine, wind speed, average consumption propensity, and total retail sales of consumer goods.

[0037] Furthermore, the analysis and determination of specific failure influencing factors of each component based on the on-site failure modes of the components and the categories of on-site failure influencing factors includes the following steps:

[0038] SIJ for each component m Functional failure, performance failure and structural failure modes, and their corresponding natural wear and tear factors and working wear and tear factors are analyzed respectively;

[0039] According to component SIJ m The relationship between the failure mode and the corresponding failure influencing factors is determined to determine the specific set of on-site failure influencing factors for each component.

[0040] Compared with the prior art, the present invention has the following advantages:

[0041] (1) The present invention proposes a method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components, which can comprehensively and accurately identify factors affecting on-site failure of various components of photovoltaic air-conditioning, and provide technical support for reliability analysis, design and operation and maintenance decisions of photovoltaic air-conditioning.

[0042] (2) The present invention divides the photovoltaic air conditioning system into five levels (system, subsystem, unit, assembly, parts / components) and clarifies the specific composition and function of each level. Through this systematic framework, the analysis of the factors affecting field failures has a clear hierarchy, which is convenient for subsequent refined processing.

[0043] (3) The present invention not only identifies the failure modes of components from the functional dimension, performance dimension, and structural dimension, but also accurately captures the potential failure modes of components through logical analysis of the feature matrix and the failure judgment matrix. This multi-dimensional analysis method makes the failure mode identification more comprehensive and accurate.

[0044] (4) The present invention divides the failure influencing factors into natural wear factors and working wear factors, and conducts a comprehensive analysis in combination with specific environments and working conditions. This classification method makes the identification of on-site failure influencing factors more targeted, and can fundamentally reveal the specific effects of different factors on component failure, thereby improving the accuracy and practicality of failure analysis.

[0045] (5) By integrating the failure mode matrix and the failure influencing factor matrix, the present invention can accurately identify the failure influencing factors of each component and provide an effective basis for failure prevention and maintenance management of the photovoltaic air conditioning system. This is of great significance for extending the service life of the equipment, reducing the failure rate, and improving the stability of the system.

[0046] (6) The present invention helps developers optimize the design, manufacturing and maintenance strategies of photovoltaic air conditioning systems through detailed analysis of failure modes and influencing factors, thereby improving the overall reliability and economy of the system. Through effective failure prevention and optimized maintenance, maintenance costs can be significantly reduced and the system's efficiency can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a flow chart of a method for the system of the present invention to identify factors affecting on-site failure of photovoltaic air-conditioning components;

[0048] Figure 2 is a flow chart of an algorithm for identifying component field failure modes of the present invention;

[0049] Figure 3 It is an identification diagram of factors affecting field failure of outdoor electric control components;

[0050] Figure 4 It is an identification diagram of factors affecting on-site failure of photovoltaic modules. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0052] Embodiment 1:

[0053] In view of the current problems in identifying factors affecting the on-site reliability of photovoltaic air-conditioning components, this embodiment provides a method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components, which can comprehensively and accurately identify factors affecting on-site failure of a large number of different types of components of photovoltaic air-conditioning, and provide technical support for reliability analysis, design, and operation and maintenance decisions of photovoltaic air-conditioning. Specifically, it includes:

[0054] 1) Determine the components by defining the composition level of photovoltaic air conditioners:

[0055] 1.1 Based on the functional structure of photovoltaic air conditioners, without loss of generality, photovoltaic air conditioners are defined as an organic whole consisting of five levels: system, subsystem, unit, assembly and parts or components;

[0056] 1.2 System S: A photovoltaic air conditioner delivered to customers in a complete form and having all the functions that meet the customer's requirements or are predetermined, consisting of a photovoltaic power generation subsystem (P) and an air conditioning subsystem (C);

[0057] 1.3 Subsystem S i (i=P,C): The component in a product that completes or realizes a specific function, represented by S ij It is composed of units;

[0058] 1.4 Unit S ij (j=1,2,…,J): Complete or realize a predetermined function in the subsystem, which is determined by S ijk It is formed by assembling components;

[0059] 1.5 Component S ijk (k=1,2,…,K): It consists of two or more parts / components S ijkv Composition, part of which has the characteristics of being separable, and part of which has the characteristics of being inseparable or not being separable;

[0060] 1.6 Parts or components ijkv (v=1,2,…,V): the smallest component of the system, with the characteristic of being inseparable;

[0061] 1.7 Parts or components and inseparable components constitute the basic components of system S, collectively referred to as components SIJ m (m=1,2,…w);

[0062] 2) Identify the field failure modes of components from three dimensions: function, performance and structure:

[0063] 2.1 Determine the function (F), performance (P) and structure (S) requirements of components, and the field failure mode FM of componentsmi (m=1,2,…w;i=1,2,…n m ) is the manifestation of failure to meet the requirements, which can be summarized into three types: functional failure, performance failure and structural failure;

[0064] 2.2 Based on component SIJ m (m=1,2,…,w) specific requirements for functions, performance and structure, and establish its characteristic matrix

[0065] C m =[F (m,i) P (m,i) S (m,i) ] T

[0066] Where: F (m,i) , P (m,i) and S (m,i) Represents components SIJ m The characteristic row vector composed of the i-th (i=1,2,…,n) requirement of the three aspects of function, performance and structure;

[0067] 2.3 SIJ of components m The representation of field failure modes is converted into a field failure determination matrix

[0068] CF m =[J (m,1) J (m,2) J (m,3) ]

[0069] Where: J (m,1) , J (m,2) and J (m,3) Based on component SIJ m The criterion column vector of functional failure, performance failure and structural failure constructed from the existing field failure and performance degradation data or information;

[0070] 2.4 Calculate the SIJ of components m Failure mode matrix

[0071]

[0072] Where: ◇ is a logic analysis and judgment symbol, which indicates that the three criterion column vectors in the failure judgment matrix are used to analyze and judge each eigenvector in the feature matrix, and there is

[0073]

[0074] That is, the logical analysis and judgment process between different types of criterion column vectors and characteristic vectors cannot identify the field failure mode;

[0075] 2.5 From the failure mode matrix C FM Submatrix of

[0076]

[0077] Identify the SIJ components m Field Failure Mode FM mi (i=1,2,…,n m );

[0078] 3) Determine the categories of factors affecting component field failure:

[0079] 3.1 Causes of component SIJ m Field Failure Mode FM mi The cause of the failure is the influencing factor of the on-site failure. Since the five dimensions of personnel, machines, materials, methods and detection can be well regulated and controlled in the manufacturing and system operation and maintenance process, the SIJ of components m The factors affecting the field failure of can be attributed to its environmental dimension factors, that is, the specific service scenario factors of system S;

[0080] 3.2 Component SIJ m The factors affecting the on-site failure of the system S, i.e., the specific service scenario factors of the system S, are divided into two categories: natural wear factors and working wear factors. The set of natural wear factors is {z m1 z m2 … z mω′ … z mφ′}(m=1,2,…,w;ω′=1,2,…,φ′), specifically including temperature, temperature difference, humidity, sunshine, solar radiation, wind speed, rainfall, dust and SO 2 / NO 2 concentration, the basic factors that determine the user's willingness to use and the working time of system S are classified as work wear factors, and their set is {z m1 z m2 … z mω″ … z mφ″}(m=1,2,…,w;ω″=1,2,…,φ″), specifically including temperature, temperature difference, humidity, sunshine, wind speed, average consumption tendency, and total retail sales of consumer goods;

[0081] 4) Analyze the field failure mode to obtain the factors affecting field failure:

[0082] 4.1 Analysis and determination of field failure mode FM mi The natural loss factor set {z m1 z m2 … z mω′ … z mφ′} and the set of work wear factors {z m1 z m2 … z mω″ … z mφ″};

[0083] 4.2 Comprehensive Field Failure Mode FM mi Natural loss factors m1 z m2 … z mω′ … z mφ′} and work wear factor {z m1 z m2 … z mω″ … z mφ″}, and obtain the set of factors affecting the field failure of components {z m1 z m2 … z mω …z mφ} (m=1,2,…,w; ω=1,2,…,φ).

[0084] 5) Application of the method:

[0085] The proposed method is applied to systematically identify factors affecting on-site failure of photovoltaic air-conditioning components.

[0086] The factors affecting the on-site failure of photovoltaic air-conditioning components are determined based on the specific manifestations of failure caused by each component failing to meet its specific requirements in terms of function, performance and structure. Since the on-site failure mode of each component is different, the on-site failure factors that cause its failure mode are also different. Therefore, the on-site failure factors are obtained by analyzing the on-site failure mode of each component one by one.

[0087] This embodiment proposes a method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components, which can comprehensively and accurately identify factors affecting on-site failure of various components of photovoltaic air-conditioning, and provide technical support for reliability analysis, design and operation and maintenance decisions of photovoltaic air-conditioning.

[0088] Embodiment 2:

[0089] A method for systematically identifying factors affecting field failure of photovoltaic air conditioning components, such as Figure 1 As shown, the specific implementation steps are as follows:

[0090] Step 1: Determine the components by defining the composition level of the photovoltaic air conditioner:

[0091] According to the functional and structural relationship of photovoltaic air conditioning, without loss of generality, the photovoltaic air conditioning system is defined as an organic whole consisting of five levels: system, subsystem, unit, assembly and parts or components.

[0092] The system S: photovoltaic air conditioning system;

[0093] The subsystem S i (i=P,C): Photovoltaic power generation subsystem, air conditioning subsystem.

[0094] The unit S ij (j=1,2,…,J): The photovoltaic power generation subsystem consists of three units: photovoltaic array, battery, and inverter; the air conditioning subsystem consists of four units: control, cooling / heating, air duct and drainage, and frame.

[0095] The component S ijk (k=1,2,…,K): The photovoltaic array unit is composed of photovoltaic modules, combiner boxes and other components; the control unit is composed of outdoor electric control components, indoor electric control components, display panel components and auxiliary components;

[0096] The parts or components S ijkv (v=1,2,…,V): Photovoltaic modules are composed of components / components such as solar cells, surface glass, backplane, EVA packaging materials and electrical connectors; outdoor electric control components are composed of components / components such as switch transformers, relays, capacitors, fuses, MCU chips, IPM modules, PFC modules and IGBT chips;

[0097] Among the components of the photovoltaic air conditioning system S, there are not only parts / components that cannot be separated or will not be separated, but also some components. These parts / components S ijkv (v=1,2,…,V) and component S ijk (k=1,2,…,K) constitute the basic components of the photovoltaic air conditioning system, collectively referred to as components SIJ m (m=1,2,…w).

[0098] Step 2: Identify the field failure modes of the components from the three dimensions of function, performance and structure:

[0099] The photovoltaic air conditioning system S will have clear technical requirements on the function, performance and structure of any of its components.

[0100] The following uses the outdoor electronic control components of the air-conditioning subsystem and the photovoltaic components of the photovoltaic power generation subsystem as examples to describe the specific requirements in terms of function, performance and structure.

[0101] The requirements for function, performance and structure are described in combination with the components of the outdoor electronic control assembly: the components of the outdoor electronic control assembly include switching transformers, relays, capacitors (pin type), electrolytic capacitors, fuses, MCU chips, IPM+PFC modules and IGBTs; the specific requirements for the functions, performance and structure of each component are shown in Table 1.

[0102] Table 1 Specific requirements for key components of outdoor electronic control components

[0103]

[0104]

[0105] The requirements for function, performance and structure are described in combination with the components of photovoltaic modules: the components of photovoltaic modules include frame, surface glass, back panel, EVA packaging material, electrical connector and battery cell; the specific requirements for function, performance and structure of each component are shown in Table 2.

[0106] Table 2 Specific requirements for each component of photovoltaic modules

[0107]

[0108]

[0109] Combined with the field failure data and field performance degradation data, the field failure modes of each component are classified into functional failure, performance failure and structural failure. Figure 2 Table 3 takes the outdoor electric control components of the air conditioning subsystem and the photovoltaic components of the photovoltaic power generation subsystem as examples to describe the three types of failure modes and gives specific examples of each type of failure mode.

[0110] Table 3 Description and examples of various field failure modes of components

[0111]

[0112] Step 3: Determine the category of the factors affecting the on-site failure of the components:

[0113] Photovoltaic air conditioning systems exist in two states: working and non-working. Regardless of whether it is in working or non-working state, the components located indoors will be affected by factors such as indoor temperature and humidity, ventilation, etc., and the components located outdoors will be affected by factors such as outdoor environment such as temperature and humidity, solar radiation, dust, wind speed and rainfall. These factors are all natural environmental factors, and there is a complex coupling relationship between them, which can be collectively referred to as natural loss factors. The result of their combined effect is the natural loss of components. For a system in working state, in addition to being affected by the above-mentioned natural environmental factors, its components are also affected by the workload factors when the system is working, resulting in work loss, such as the dynamic load on the moving components in the working state, the temperature rise of the components, etc., and the sunshine duration is related to the working time of the photovoltaic power generation subsystem. Factors such as temperature and humidity, user willingness to use, etc. affect the use time of the air conditioning subsystem. Different working hours have different effects on component loss. These factors can be collectively referred to as work loss factors. From the above analysis, it can be seen that there is also a complex coupling relationship between natural loss factors and work loss factors. When the combined influence of natural wear factors and working wear factors reaches a certain level, failure mode FM will occur. mi Therefore, the factors affecting field failure can be divided into two categories: natural wear and tear factors and work wear and tear factors.

[0114] The factors affecting field failure determined by the above analysis include basic factors that cannot be further decomposed, such as temperature, temperature difference, humidity, sunshine, solar radiation, wind speed, rainfall, dust and SO 2 / NO 2 There are also intermediate factors that can be further analyzed, such as user willingness and working hours. The user's willingness to use the air-conditioning subsystem and the length of time it is used, that is, the working time of the air-conditioning subsystem, are related to basic natural environmental factors such as temperature, temperature difference, humidity, sunshine and wind speed, as well as economic factors such as the average consumption tendency of local residents and the total retail sales of consumer goods; the working time of the photovoltaic power generation electronic system is affected by the natural environmental factor of sunshine. Therefore, it is necessary to further decompose the intermediate factors of the factors affecting field failure into basic factors, and finally obtain the factors affecting the field failure of components.

[0115] After the intermediate factors are decomposed, temperature, temperature difference, humidity, sunshine, solar radiation, wind speed, rainfall, dust and SO 2 / NO 2 The concentration is classified as the natural loss factor, which is a set of {z m1 z m2 … z mω′ … z mφ′}, the basic factors that determine the user's willingness to use and the working time of system S are classified as the working wear factors, including temperature, temperature difference, humidity, sunshine, wind speed, average consumption tendency, and total retail sales of consumer goods, which are set as {z m1 z m2 … z mω″ … z mφ″}.

[0116] Step 4: Analyze the on-site failure mode to obtain the on-site failure influencing factors:

[0117] All influencing factors that lead to failure modes of each component are analyzed one by one to obtain a set of influencing factors of failure modes. Taking the outdoor electric control components of the air-conditioning subsystem and the photovoltaic components of the photovoltaic power generation subsystem as examples, the identification results of the influencing factors of the outdoor electric control components are as follows:

[0118] The natural loss factor set is {temperature, temperature difference, humidity, sunshine, solar radiation, wind speed, rainfall, dust, SO 2 / NO 2 concentration}, the work wear factor set is {temperature, temperature difference, humidity, sunshine, wind speed, average consumption tendency, total retail sales of consumer goods};

[0119] Combining the natural wear factors and working wear factors of the field failure mode of outdoor electronic control components, the field failure influencing factor set is obtained as {temperature, temperature difference, humidity, sunshine, solar radiation, wind speed, rainfall, dust, SO 2 / NO 2 concentration, average consumption propensity, total retail sales of consumer goods}, such as Figure 3 shown.

[0120] Since the average consumption tendency and the total retail sales of consumer goods only affect the air conditioning subsystem, the identification results of the influencing factors of photovoltaic components in the photovoltaic power generation subsystem are as follows: the natural loss factor set is {temperature, temperature difference, humidity, sunshine, solar radiation, wind speed, rainfall, dust, SO 2 / NO 2 Concentration}, and the working loss factor set is {temperature, temperature difference, sunshine, solar radiation}. Combining the natural loss factors and working loss factors of the field failure mode of photovoltaic modules, the field failure influencing factor set is obtained as {temperature, temperature difference, humidity, sunshine, solar radiation, wind speed, rainfall, dust, SO 2 / NO 2 concentration}, such as Figure 4 shown.

[0121] Step 5: Application of the method:

[0122] Applying the above method to photovoltaic air conditioners obtains the final field failure mode FM of all components miThe set of on-site influencing factors {z m1 z m2 … z mω … z mφ}(m=1,2,…,w;ω=1,2,…,φ), the results are shown in Table 4.

[0123] Table 4 Identification results of factors affecting on-site failure of photovoltaic air-conditioning components

[0124]

[0125]

[0126] The systematic identification method for factors affecting on-site failure of photovoltaic air-conditioning components can comprehensively and accurately identify factors affecting on-site failure of a large number of different types of components of photovoltaic air-conditioning, and provide technical support for reliability analysis, design and operation and maintenance decisions of photovoltaic air-conditioning.

[0127] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0128] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components, characterized in that: The following steps are involved: Determine the components by defining the composition level of photovoltaic air conditioners; Identify the field failure modes of components from the three dimensions of function, performance and structure; Determine the categories of factors affecting field failure of components; Based on the field failure modes of components and the categories of field failure influencing factors, analyze and determine the specific field failure influencing factors of each component.

2. A method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components according to claim 1, characterized in that: The photovoltaic air conditioner comprises five levels: system, subsystem, unit, assembly and parts or components.

3. A method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components according to claim 2, characterized in that: The system S is a photovoltaic air conditioner delivered to the customer in a complete form and having all the functions that meet the customer's requirements or are predetermined, including a photovoltaic power generation subsystem P and an air conditioning subsystem C; The subsystem S i (i=P,C) is the component that completes or realizes a specific function in the product, which is composed of S ij It is composed of units; The unit S ij (j=1,2,…,J) completes or realizes a predetermined function in the subsystem, and is ijk It is formed by assembling components, J is the number of units; The component S ijk (k=1,2,…,K) consists of two or more parts / components S ijkv The composition is that some of them have the characteristics of being separable, and some of them have the characteristics of being inseparable or not being separable. K is the number of components. The parts or components S ijkv (v=1,2,…,V) is the smallest component of the system, which has the characteristic of being inseparable, and V is the number of parts or components; The parts or components and the inseparable components constitute the basic components of the system S, collectively referred to as components SIJ m (m=1,2,…w), w is the number of components.

4. The method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components according to claim 1, characterized in that: The method of identifying the on-site failure mode of components comprises the following steps: Determine the function, performance and structural requirements of the components to form a feature matrix C m ; Based on the existing field failure and performance degradation data, the field failure judgment matrix CF is constructed m ; Through the feature matrix C m and the field failure determination matrix CF m Logical analysis and judgment to form the failure mode matrix C FM ; According to the failure mode matrix C FM Identify the component SIJ m Field Failure Mode FM mi (i=1,2,…,n m ).

5. A method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components according to claim 4, characterized in that: The feature matrix C m for: C m =[F (m,i) P (m,i) S (m,i) ] T Among them, F (m,i) , P (m,i) and S (m,i) Respectively represent the components SIJ m The characteristic row vector is composed of the i-th (i=1,2,…,n) requirements of the three aspects of function, performance and structure, T is the transpose, m=1,2,…w, w is the number of components.

6. A method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components according to claim 4, characterized in that: The failure decision matrix CF m for: CF m =[J (m,1) J (m,2) J (m,3) ] Among them, J (m,1) , J (m,2) and J (m,3) Based on the components SIJ m The criterion column vector of functional failure, performance failure and structural failure constructed from the existing field failure and performance degradation data or information, m = 1, 2, ... w, w is the number of components.

7. A method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components according to claim 4, characterized in that: The failure mode matrix C FM for: Among them, ◇ is a logic analysis judgment symbol, which expresses the analysis and judgment of each feature vector in the feature matrix using the three criterion column vectors in the failure judgment matrix. The logic analysis judgment symbol ◇ conforms to the following judgment formula: F (m,i) , P (m,i) and S (m,i) Respectively represent the components SIJ m The characteristic row vector composed of the i-th (i=1,2,…,n) requirements of the three aspects of function, performance and structure, J (m,1) , J (m,2) and J (m,3) Based on the components SIJ m The criterion column vector of functional failure, performance failure and structural failure constructed from the existing field failure and performance degradation data or information, m = 1, 2, ... w, w is the number of components.

8. The method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components according to claim 1, characterized in that: The categories of factors affecting component field failure include natural wear and tear factors and operational wear and tear factors.

9. A method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components according to claim 8, characterized in that: The natural loss factors include temperature, temperature difference, humidity, sunshine, solar radiation, wind speed, rainfall, dust and SO2 / NO2 concentration; The work wear factors are basic influencing factors that determine the user's willingness to use and the system's working time, including temperature, temperature difference, humidity, sunshine, wind speed, average consumption propensity, and total retail sales of consumer goods.

10. The method for systematically identifying factors affecting on-site failure of photovoltaic air-conditioning components according to claim 1, characterized in that: The method of analyzing and determining the specific failure influencing factors of each component based on the on-site failure mode of the component and the category of the on-site failure influencing factors comprises the following steps: SIJ for each component m Functional failure, performance failure and structural failure modes, and their corresponding natural wear and tear factors and working wear and tear factors are analyzed respectively; According to component SIJ m The relationship between the failure mode and the corresponding failure influencing factors is determined to determine the specific set of on-site failure influencing factors for each component.

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