Photovoltaic construction quality assessment method and system based on construction data analysis

Abstract

The present invention discloses a photovoltaic construction quality assessment method and system based on construction data analysis, which relates to the technical field of construction data analysis, including generating construction design data based on pre-construction data, analyzing the construction design data to construct construction plan content requirements, formulating construction design data and predicting construction plan content requirements in advance, providing a basis for subsequent construction quality assessment, and ensuring the reliability of construction quality assessment. Based on the construction process data, the difference data is confirmed, the difference data of the construction process and the post-construction data are integrated into the construction quality comparison body, and the pre-construction data, the construction process data and the post-construction data are integrated together, so as to assess the overall construction quality, improve the accuracy and reliability of the construction quality assessment, and ensure the safe and stable operation of the photovoltaic project.

Description

Technical Field

[0001] The present invention relates to the technical field of construction data analysis, and in particular to a photovoltaic construction quality assessment method and system based on construction data analysis. Background Art

[0002] As the global demand for clean energy continues to increase, photovoltaic power generation, as one of the important renewable energy sources, has a direct impact on the system's power generation efficiency, operational stability and service life due to the quality of its construction. Therefore, by collecting and analyzing various data during the construction process, such as material selection, installation methods, engineering indicators, etc., the construction quality of photovoltaic projects can be comprehensively evaluated. This evaluation scheme not only helps to prevent and control quality problems in advance, but also provides a scientific basis for later operation and maintenance management, ensuring the long-term stable operation of photovoltaic systems. At the same time, combined with advanced technologies such as big data and machine learning, the accuracy and efficiency of the evaluation can be further improved, promoting the healthy development of the photovoltaic power generation industry.

[0003] In the existing technology, the construction quality is often judged only by the photovoltaic operation and maintenance situation after installation, which leads to a one-sided and single construction quality assessment, reduces the accuracy and reliability of the construction quality assessment, and is not conducive to the subsequent photovoltaic operation and maintenance management.

[0004] Therefore, how to improve the accuracy and reliability of construction quality assessment is a technical problem that needs to be solved. Summary of the invention

[0005] The purpose of the present invention is to solve the problem of low accuracy and reliability of construction quality assessment in the prior art, and to propose a photovoltaic construction quality assessment method based on construction data analysis, which includes:

[0006] Obtain pre-construction data of the photovoltaic project site, generate construction design data based on the pre-construction data, and analyze the construction design data to construct the construction plan content requirements;

[0007] Carry out photovoltaic project construction according to the requirements of the construction plan, collect the construction process data generated during the photovoltaic project construction, and confirm the difference data based on the construction process data;

[0008] Build a construction quality comparison body based on the difference data. After the construction of the photovoltaic project is completed, obtain the post-construction data and integrate the post-construction data into the construction quality comparison body;

[0009] Analyze the construction quality comparison body to evaluate the photovoltaic construction quality of photovoltaic projects.

[0010] In some embodiments of the present application, construction design data is generated based on pre-construction data, including:

[0011] Pre-construction data includes location data, geological data, meteorological data, equipment parameters and grid access conditions;

[0012] Input location data, geological data, and meteorological data into 3D modeling software to create a 3D model of the PV project site, perform illumination simulation and shadow analysis in the 3D model, and output the layout design of the PV array;

[0013] Input location data, geological data, layout design of photovoltaic array and equipment parameters into finite element software, analyze the support structure, foundation form and lightning protection grounding of photovoltaic array, and output the structural design of photovoltaic array;

[0014] Input the layout design, equipment parameters and grid access conditions of the photovoltaic array into the circuit simulation software, conduct circuit simulation analysis, and output the electrical design;

[0015] The layout design, structural design and electrical design of the photovoltaic array are input into the auxiliary drawing software, and the construction drawings and construction instructions are output, and the construction drawings and construction instructions are used as construction design data.

[0016] In some embodiments of the present application, the construction design data is analyzed to construct the construction plan content requirements, including:

[0017] The construction plan content requirements include three aspects: construction schedule, resource allocation and inspection quality;

[0018] Decompose the work content in the construction instructions into several tasks, analyze the dependencies between multiple tasks, form a construction task path, analyze the engineering quantity and engineering difficulty on the construction drawings corresponding to each task on the construction task path, determine the original duration of each task based on the engineering quantity and engineering difficulty, collect the historical relevant extension data of each task, define the fluctuating duration of each task based on the historical relevant extension data, mark the original duration and fluctuating duration on the task path, and thus complete the content of the construction time schedule.

[0019] In some embodiments of the present application, the fluctuating duration of each task is defined based on historical related delay data, including:

[0020] Determine the delay factors involved in each task, pre-process the historical related delay data, establish a delay probability analysis model, and use the delay probability analysis model to predict the delay probability and delay range of each delay factor of each task;

[0021] The delay factors of each task are screened based on the delay probability, and the screened delay factors are constructed into a delay factor list. The fluctuating duration of each task is defined based on the delay factor list. ;

[0022] in, For the The fluctuating duration of a task, For the The number of delay factors in the delay factor list of each task, They are respectively Two preset combined weights for the delay factor, Respectively The first in the list of delay factors for tasks The minimum, average and maximum values ​​within the delay range of the delay factors, For the The first in the list of delay factors for tasks A constant for the delay factor.

[0023] In some embodiments of the present application, the construction design data is analyzed to construct the construction plan content requirements, and further includes:

[0024] The resource allocation content is completed by uniformly allocating the engineering resources on the construction task path according to the engineering quantity, engineering difficulty, original construction period and fluctuating construction period of each task on the construction task path;

[0025] Set up the inspection method for each task on the construction task path to complete the quality inspection content.

[0026] In some embodiments of the present application, the difference data is confirmed based on the construction process data, including:

[0027] The construction process data is compared with the requirements of the construction plan content one by one to obtain the differences in construction time progress, resource allocation and inspection quality respectively. The differences are analyzed to quantify and define positive and negative differences, and the positive and negative differences are used as difference data.

[0028] In some embodiments of the present application, a construction quality comparison body is constructed based on the difference data, including:

[0029] Map the construction task path into a construction task process, and mark the difference data on each corresponding task in the construction task process to form a construction quality comparison body;

[0030] Determine the direct construction quality based on the positive and negative variances of each task in the construction task flow, and attach the direct construction quality to the construction quality comparison body; ;

[0031] in, For direct construction quality, is the direct construction quality conversion coefficient, is the number of tasks in the construction task process, They are respectively The combined weights of the construction schedule, resource allocation and inspection quality of each task are For the construction task process The difference function of the actual duration, original duration and fluctuating duration of a task, They are the actual construction period, the original construction period and the fluctuating construction period. They are respectively The positive or negative variance in resource allocation and inspection quality for each task.

[0032] In some embodiments of the present application, the construction quality comparison body is analyzed to evaluate the photovoltaic construction quality of the photovoltaic project, including:

[0033] A post-construction link is added after the tasks at the end of the construction task process. The post-construction link is filled with post-construction data. Performance characteristics and fault characteristics are extracted from the post-construction data. The photovoltaic construction quality level of the photovoltaic project is evaluated by combining the performance characteristics, fault characteristics and direct construction quality. The photovoltaic construction quality of the photovoltaic project is described by the photovoltaic construction quality level. ;

[0034] in, For the photovoltaic construction quality level, are the conversion coefficients of performance characteristics and fault characteristics respectively, are the number of performance characteristics and fault characteristics, respectively, Respectively performance characteristics and The impact weight of each fault feature, Respectively performance characteristics and The size of the fault feature, are preset constants, is the rounding symbol.

[0035] Correspondingly, the present application also provides a photovoltaic construction quality assessment system based on construction data analysis, including:

[0036] The planning module is used to obtain pre-construction data of the photovoltaic project site, generate construction design data based on the pre-construction data, and analyze the construction design data to construct the construction plan content requirements;

[0037] The synchronization module is used to carry out the construction of the photovoltaic project according to the requirements of the construction plan, collect the construction process data generated during the construction of the photovoltaic project, and confirm the difference data based on the construction process data;

[0038] A construction module is used to construct a construction quality comparison body based on the difference data. After the construction of the photovoltaic project is completed, the post-construction data is obtained and integrated into the construction quality comparison body;

[0039] The evaluation module is used to analyze the construction quality comparison object to evaluate the photovoltaic construction quality of the photovoltaic project.

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

[0041] 1. Generate construction design data based on pre-construction data, and analyze the construction design data to build the construction plan content requirements. Formulate construction design data and predict construction plan content requirements in advance, provide a basis for subsequent construction quality evaluation, and ensure the reliability of construction quality evaluation.

[0042] 2. Confirm the difference data based on the construction process data, merge the difference data of the construction process and the post-construction data into the construction quality comparison body, integrate the pre-construction data, construction process data and post-construction data together, so as to evaluate the overall construction quality, improve the accuracy and reliability of construction quality evaluation, and ensure the safe and stable operation of photovoltaic projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A schematic diagram of the flow of the photovoltaic construction quality assessment method based on construction data analysis proposed by the present invention;

[0044] Figure 2 This is a schematic diagram of the structure of the photovoltaic construction quality assessment system based on construction data analysis proposed by the present invention. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0046] Reference Figure 1 ,The photovoltaic construction quality assessment method based on construction data analysis includes the following steps,

[0047] Step S101, obtaining pre-construction data of the photovoltaic project site, generating construction design data according to the pre-construction data, and analyzing the construction design data to construct construction plan content requirements.

[0048] In this embodiment, the pre-construction data includes location data, geological data, meteorological data, equipment parameters (photovoltaic equipment, electrical equipment), etc.

[0049] Geological survey: Conduct geological survey on the photovoltaic project site to understand geological conditions such as foundation bearing capacity, groundwater level, soil type, etc., to provide a basis for foundation design.

[0050] Meteorological data: Collect historical meteorological data of the project site, including sunshine hours, radiation intensity, temperature, wind speed, wind direction, etc., to evaluate the power generation potential of the photovoltaic system and design wind and lightning protection measures.

[0051] Grid access conditions: Understand the grid access conditions near the project site, including voltage level, capacity limit, access point location, etc., to provide a basis for grid connection design.

[0052] In some embodiments of the present application, construction design data is generated based on pre-construction data, including:

[0053] Pre-construction data includes location data, geological data, meteorological data, equipment parameters and grid access conditions;

[0054] Input location data, geological data, and meteorological data into 3D modeling software to create a 3D model of the PV project site, perform illumination simulation and shadow analysis in the 3D model, and output the layout design of the PV array;

[0055] Input location data, geological data, layout design of photovoltaic array and equipment parameters into finite element software, analyze the support structure, foundation form and lightning protection grounding of photovoltaic array, and output the structural design of photovoltaic array;

[0056] Input the layout design, equipment parameters and grid access conditions of the photovoltaic array into the circuit simulation software, conduct circuit simulation analysis, and output the electrical design;

[0057] The layout design, structural design and electrical design of the photovoltaic array are input into the auxiliary drawing software, and the construction drawings and construction instructions are output, and the construction drawings and construction instructions are used as construction design data.

[0058] In this embodiment, the layout design of the photovoltaic array includes parameters such as component spacing, orientation, and inclination. On the basis of the three-dimensional model, data such as light intensity and sunshine hours in the meteorological data are imported to perform light simulation analysis to determine the optimal photovoltaic array orientation and inclination. Considering the shadow blocking of the photovoltaic array by obstacles such as buildings and trees around the project site, the component spacing and array layout are optimized through shadow analysis. Using finite element analysis software, the support structure is subjected to force analysis to determine the reasonable structural form and size. According to the soil conditions and the stress conditions of the support structure, a suitable foundation form is designed to ensure that the support structure is stable and reliable. According to the lightning activity in the meteorological data, a lightning protection grounding system is designed to protect the photovoltaic system from lightning. Using circuit simulation software, according to the performance parameters of the photovoltaic array and the inverter, a circuit simulation analysis is performed to determine the optimal electrical wiring method and inverter configuration scheme. According to the actual situation of the project site and electrical safety requirements, a reasonable cable laying path and method are designed.

[0059] In some embodiments of the present application, the construction design data is analyzed to construct the construction plan content requirements, including:

[0060] The construction plan content requirements include three aspects: construction schedule, resource allocation and inspection quality;

[0061] Decompose the work content in the construction instructions into several tasks, analyze the dependencies between multiple tasks, form a construction task path, analyze the engineering quantity and engineering difficulty on the construction drawings corresponding to each task on the construction task path, determine the original duration of each task based on the engineering quantity and engineering difficulty, collect the historical relevant extension data of each task, define the fluctuating duration of each task based on the historical relevant extension data, mark the original duration and fluctuating duration on the task path, and thus complete the content of the construction time schedule.

[0062] In this embodiment, the overall work content in the construction description is carefully decomposed into several specific and manageable task units. This step is the basis for ensuring the accuracy of subsequent progress planning. The logical relationship between these tasks (such as sequence, parallel relationship, etc.) is analyzed to construct the task path of the construction. For each task on the task path, it is necessary to carefully analyze the engineering quantity (such as material quantity, construction area, etc.) and engineering difficulty (such as technical complexity, environmental restrictions, etc.) on the corresponding construction drawings to complete the quantification of engineering quantity and engineering difficulty. Combining these two aspects of information, the original duration of each task can be determined more scientifically, that is, the ideal completion time without considering any external interference factors. In order to make the construction plan closer to reality, it is also necessary to collect historical related extension data for each task. These data can reflect the delays that may be encountered in the execution of similar tasks in the past. Based on historical data, a fluctuating duration is defined for each task, that is, in addition to the original duration, additional time is required to deal with possible delay risks.

[0063] In some embodiments of the present application, the fluctuating duration of each task is defined based on historical related delay data, including:

[0064] Determine the delay factors involved in each task, pre-process the historical related delay data, establish a delay probability analysis model, and use the delay probability analysis model to predict the delay probability and delay range of each delay factor of each task;

[0065] The delay factors of each task are screened based on the delay probability, and the screened delay factors are constructed into a delay factor list. The fluctuating duration of each task is defined based on the delay factor list. ;

[0066] in, For the The fluctuating duration of a task, For the The number of delay factors in the delay factor list of each task, They are respectively Two preset combined weights for the delay factor, Respectively The first in the list of delay factors for tasks The minimum, average and maximum values ​​within the delay range of the delay factors, For the The first in the list of delay factors for tasks A constant for the delay factor.

[0067] In this embodiment, the delay factors include weather conditions, material supply, resource shortages, etc. Through statistical methods or machine learning algorithms, we can identify which factors are most likely to cause delays and the probability of delay. For each delay factor, the model should be able to give a possible delay time range, which helps to estimate the fluctuating duration more accurately. The delay range is a time range value, the minimum delay time-the maximum delay time. The delay factors of each task are screened based on the delay probability, and several delay factors with a higher delay probability are retained to define the fluctuating duration of each task. This fluctuating duration should be able to fully reflect the delay risks that may be encountered during the execution of the task and provide strong support for project management.

[0068] In this embodiment, a basic fluctuating duration is generated by combining the minimum value and the average value within the extension range, and then The maximum value within the extension range is used to correct the basic fluctuating construction period. Finally, the average value of the class is taken as the fluctuating construction period ( a little larger than average).

[0069] In some embodiments of the present application, the construction design data is analyzed to construct the construction plan content requirements, and further includes:

[0070] The resource allocation content is completed by uniformly allocating the engineering resources on the construction task path according to the engineering quantity, engineering difficulty, original construction period and fluctuating construction period of each task on the construction task path;

[0071] Set up the inspection method for each task on the construction task path to complete the quality inspection content.

[0072] In this embodiment, based on the determined construction task path, we comprehensively consider the engineering volume, engineering difficulty, original construction period and fluctuating construction period of each task. These factors jointly determine the demand for resources and the demand time of the task. We can calculate the total demand and demand distribution of various resources (such as manpower, materials, equipment, etc.) throughout the construction cycle. According to the resource requirements, we can formulate a detailed resource allocation plan to ensure that the right resources are provided at the right time and in the right place to meet the needs of the construction task. For each task on the construction task path, we need to set a clear inspection method to ensure that the quality of the task meets the design requirements.

[0073] Step S102, the photovoltaic project is constructed according to the requirements of the construction plan, and the construction process data generated during the construction of the photovoltaic project is collected, and the difference data is confirmed based on the construction process data.

[0074] In this embodiment, the construction process data includes construction records, quality inspections, change records, etc. In the actual photovoltaic construction process, there may be many deviations from the plan, and these deviations are considered to determine the difference data.

[0075] In some embodiments of the present application, the difference data is confirmed based on the construction process data, including:

[0076] The construction process data is compared with the requirements of the construction plan content one by one to obtain the differences in construction time progress, resource allocation and inspection quality respectively. The differences are analyzed to quantify and define positive and negative differences, and the positive and negative differences are used as difference data.

[0077] In this embodiment, the positive difference is a positive difference, such as the time difference between the actual completion time of the task and the planned completion time, the difference between the actual resource consumption and the planned allocation, etc. The negative difference is a negative difference, such as the time difference between the actual completion time of the task and the planned completion time (specifically, the difference between the original construction period and the fluctuating construction period), and the difference between the actual resource consumption and the planned allocation. These difference data illustrate the difference between the actual and planned construction of the photovoltaic project.

[0078] Step S103, constructing a construction quality comparison body based on the difference data, and after the construction of the photovoltaic project is completed, obtaining post-construction data and integrating the post-construction data into the construction quality comparison body.

[0079] In this embodiment, the construction quality comparison body is the content carrier that integrates the difference data. The post-construction data is the operation and maintenance data (performance data, fault records, maintenance records, etc.), system performance data: such as power generation, power generation efficiency, system voltage, current, etc. Fault records: the time, type, cause and repair status of the system fault.

[0080] In some embodiments of the present application, a construction quality comparison body is constructed based on the difference data, including:

[0081] Map the construction task path into a construction task process, and mark the difference data on each corresponding task in the construction task process to form a construction quality comparison body;

[0082] Determine the direct construction quality based on the positive and negative variances of each task in the construction task flow, and attach the direct construction quality to the construction quality comparison body; ;

[0083] in, For direct construction quality, is the direct construction quality conversion coefficient, is the number of tasks in the construction task process, They are respectively The combined weights of the construction schedule, resource allocation and inspection quality of each task are For the construction task process The difference function of the actual duration, original duration and fluctuating duration of a task, They are the actual construction period, the original construction period and the fluctuating construction period. They are respectively The positive or negative variance in resource allocation and inspection quality for each task.

[0084] In this embodiment, For the construction task process The difference function of the actual duration, original duration and fluctuating duration of a task, that is, the positive and negative differences in the construction time progress, is , the difference function is the difference between the two, that is, the positive difference. , combined with The relationship between the three generates negative variances. Integrate the positive and negative variances of the construction time schedule, resource allocation and inspection quality of each task in the construction task process to determine the direct construction quality.

[0085] Step S104, analyzing the construction quality comparison object to evaluate the photovoltaic construction quality of the photovoltaic project.

[0086] In this embodiment, the post-construction data is integrated into the construction quality comparison body. The post-construction data indirectly reflects the construction quality and can help determine the construction quality.

[0087] In some embodiments of the present application, the construction quality comparison body is analyzed to evaluate the photovoltaic construction quality of the photovoltaic project, including:

[0088] A post-construction link is added after the tasks at the end of the construction task process. The post-construction link is filled with post-construction data. Performance characteristics and fault characteristics are extracted from the post-construction data. The photovoltaic construction quality level of the photovoltaic project is evaluated by combining the performance characteristics, fault characteristics and direct construction quality. The photovoltaic construction quality of the photovoltaic project is described by the photovoltaic construction quality level. ;

[0089] in, For the photovoltaic construction quality level, are the conversion coefficients of performance characteristics and fault characteristics respectively, are the number of performance characteristics and fault characteristics, respectively, Respectively performance characteristics and The impact weight of each fault feature, Respectively performance characteristics and The size of the fault feature, are preset constants, is the rounding symbol.

[0090] In this embodiment, It represents the correction of direct construction quality by indirect construction quality reflected by performance characteristics and fault characteristics, and finally determines the construction quality grade to describe the construction quality of photovoltaic projects.

[0091] Compared with the prior art, the present invention has the following beneficial effects:

[0092] 1. Generate construction design data based on pre-construction data, and analyze the construction design data to build the construction plan content requirements. Formulate construction design data and predict construction plan content requirements in advance, provide a basis for subsequent construction quality evaluation, and ensure the reliability of construction quality evaluation.

[0093] 2. Confirm the difference data based on the construction process data, merge the difference data of the construction process and the post-construction data into the construction quality comparison body, integrate the pre-construction data, construction process data and post-construction data together, so as to evaluate the overall construction quality, improve the accuracy and reliability of construction quality evaluation, and ensure the safe and stable operation of photovoltaic projects.

[0094] Correspondingly, this application also provides a photovoltaic construction quality assessment system based on construction data analysis, such as Figure 2 As shown, including

[0095] The planning module is used to obtain pre-construction data of the photovoltaic project site, generate construction design data based on the pre-construction data, and analyze the construction design data to construct the construction plan content requirements;

[0096] The synchronization module is used to carry out the construction of the photovoltaic project according to the requirements of the construction plan, collect the construction process data generated during the construction of the photovoltaic project, and confirm the difference data based on the construction process data;

[0097] A construction module is used to construct a construction quality comparison body based on the difference data. After the construction of the photovoltaic project is completed, the post-construction data is obtained and integrated into the construction quality comparison body;

[0098] The evaluation module is used to analyze the construction quality comparison object to evaluate the photovoltaic construction quality of the photovoltaic project.

[0099] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present invention.

[0100] Those skilled in the art will appreciate that the accompanying drawings are merely schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily required for implementing the present invention.

[0101] Those skilled in the art will appreciate that the modules in the system in the implementation scenario can be distributed in the system of the implementation scenario according to the implementation scenario description, or can be changed accordingly and located in one or more systems different from the implementation scenario. The modules in the above implementation scenario can be combined into one module, or can be further split into multiple submodules.

[0102] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A photovoltaic construction quality assessment method based on construction data analysis, characterized in that: include, Obtain pre-construction data of the photovoltaic project site, generate construction design data based on the pre-construction data, and analyze the construction design data to construct the construction plan content requirements; Carry out photovoltaic project construction according to the requirements of the construction plan, collect the construction process data generated during the photovoltaic project construction, and confirm the difference data based on the construction process data; Build a construction quality comparison body based on the difference data. After the construction of the photovoltaic project is completed, obtain the post-construction data and integrate the post-construction data into the construction quality comparison body; Analyze construction quality comparison bodies to evaluate the photovoltaic construction quality of photovoltaic projects; in, Confirm difference data based on construction process data, including: Compare the construction process data with the requirements of the construction plan one by one, obtain the differences in construction time schedule, resource allocation and inspection quality respectively, analyze the differences to quantify and define positive and negative differences, and use the positive and negative differences as difference data; Construct a construction quality comparison body based on difference data, including: Map the construction task path into a construction task process, and mark the difference data on each corresponding task in the construction task process to form a construction quality comparison body; Determine the direct construction quality based on the positive and negative variances of each task in the construction task flow, and attach the direct construction quality to the construction quality comparison body; ； in, For direct construction quality, is the direct construction quality conversion coefficient, is the number of tasks in the construction task process, They are respectively The combined weights of the construction schedule, resource allocation and inspection quality of each task are For the construction task process The difference function of the actual duration, original duration and fluctuating duration of a task, They are the actual construction period, the original construction period and the fluctuating construction period. They are respectively The positive or negative variance of resource allocation and inspection quality for each task; Analyze the construction quality comparison to evaluate the photovoltaic construction quality of photovoltaic projects, including: A post-construction link is added after the tasks at the end of the construction task process. The post-construction link is filled with post-construction data. Performance characteristics and fault characteristics are extracted from the post-construction data. The photovoltaic construction quality level of the photovoltaic project is evaluated by combining the performance characteristics, fault characteristics and direct construction quality. The photovoltaic construction quality of the photovoltaic project is described by the photovoltaic construction quality level. ； in, For the photovoltaic construction quality level, are the conversion coefficients of performance characteristics and fault characteristics respectively, are the number of performance characteristics and fault characteristics, respectively, Respectively performance characteristics and The impact weight of each fault feature, Respectively performance characteristics and The size of the fault feature, are preset constants, is the rounding symbol.

2. The photovoltaic construction quality assessment method based on construction data analysis according to claim 1 is characterized in that: Generate construction design data based on pre-construction data, including: Pre-construction data includes location data, geological data, meteorological data, equipment parameters and grid access conditions; Input location data, geological data and meteorological data into 3D modeling software to create a 3D model of the PV project site, perform lighting simulation and shadow analysis in the 3D model, and output the layout design of the PV array; Input location data, geological data, layout design of photovoltaic array and equipment parameters into finite element software, analyze the support structure, foundation form and lightning protection grounding of photovoltaic array, and output the structural design of photovoltaic array; Input the layout design, equipment parameters and grid access conditions of the photovoltaic array into the circuit simulation software, conduct circuit simulation analysis, and output the electrical design; The layout design, structural design and electrical design of the photovoltaic array are input into the auxiliary drawing software, and the construction drawings and construction instructions are output, and the construction drawings and construction instructions are used as construction design data.

3. The photovoltaic construction quality assessment method based on construction data analysis according to claim 2 is characterized in that: Analyze construction design data to build construction plan content requirements, including, The construction plan content requirements include three aspects: construction schedule, resource allocation and inspection quality; Decompose the work content in the construction instructions into several tasks, analyze the dependencies between multiple tasks, form a construction task path, analyze the engineering quantity and engineering difficulty on the construction drawings corresponding to each task on the construction task path, determine the original duration of each task based on the engineering quantity and engineering difficulty, collect the historical relevant extension data of each task, define the fluctuating duration of each task based on the historical relevant extension data, mark the original duration and fluctuating duration on the task path, and thus complete the content of the construction time schedule.

4. The photovoltaic construction quality assessment method based on construction data analysis according to claim 3 is characterized in that: Define the fluctuating duration of each task based on historical relevant delay data, including, Determine the delay factors involved in each task, pre-process the historical related delay data, establish a delay probability analysis model, and use the delay probability analysis model to predict the delay probability and delay range of each delay factor of each task; The delay factors of each task are screened based on the delay probability, and the screened delay factors are constructed into a delay factor list. The fluctuating duration of each task is defined based on the delay factor list. ； in, For the The fluctuating duration of a task, For the The number of delay factors in the delay factor list of each task, They are respectively Two preset combined weights for the delay factor, Respectively The first in the list of delay factors for tasks The minimum, average and maximum values ​​within the delay range of the delay factors, For the The first in the list of delay factors for tasks A constant for the delay factor.

5. The photovoltaic construction quality assessment method based on construction data analysis according to claim 3 is characterized in that: Analyze construction design data to build construction plan content requirements, including, The resource allocation content is completed by uniformly allocating the engineering resources on the construction task path according to the engineering quantity, engineering difficulty, original construction period and fluctuating construction period of each task on the construction task path; Set up the inspection method for each task on the construction task path to complete the quality inspection content.

6. Photovoltaic construction quality assessment system based on construction data analysis, characterized in that: Used to implement the photovoltaic construction quality assessment method based on construction data analysis as described in any one of claims 1 to 5, the system comprises: The planning module is used to obtain pre-construction data of the photovoltaic project site, generate construction design data based on the pre-construction data, and analyze the construction design data to construct the construction plan content requirements; The synchronization module is used to carry out the construction of the photovoltaic project according to the requirements of the construction plan, collect the construction process data generated during the construction of the photovoltaic project, and confirm the difference data based on the construction process data; A construction module is used to construct a construction quality comparison body based on the difference data. After the construction of the photovoltaic project is completed, the post-construction data is obtained and integrated into the construction quality comparison body; The evaluation module is used to analyze the construction quality comparison object to evaluate the photovoltaic construction quality of the photovoltaic project.

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