Development method of photovoltaic power station and related device

Abstract

The invention discloses a development method of a photovoltaic power station and a related device, and relates to the technical field of digital management. Comprising the following steps: in a construction stage of a photovoltaic power station, generating a construction process based on a construction demand of the photovoltaic power station, and storing the construction process in a process engine module of a management platform; and the process engine module is utilized to execute the construction tasks according to the priorities of the construction tasks in the construction process, monitor the construction progress in real time and dynamically allocate engineering materials, so that accurate configuration of resources is realized, and the construction efficiency is improved. In the leasing stage of the photovoltaic power station, the process engine module obtains performance data such as the actually paid rent of a leasee and the actual income of the photovoltaic power station, generates a risk response factor, scientifically quantifies the default probability, prejudges the risk in advance, gets rid of the passive situation of post-event processing, and executes a risk disposal scheme based on the risk response factor to reduce the operation risk.

Description

Technical Field

[0001] The present application relates to the field of digital management technology, and in particular to a development method and related devices for a photovoltaic power station. Background Art

[0002] As the global energy structure transforms towards cleaner energy, the construction and leasing model of photovoltaic power stations has gradually become the focus of market attention. At present, the scheme of managing the construction and leasing process of photovoltaic power stations through digital management systems has many problems, such as slow construction progress, unreasonable resource allocation, information asymmetry between the two parties of the lease, and relying on post-event tracking to deal with breach of contract (higher operating risk), etc.

[0003] Therefore, how to improve the construction efficiency and resource utilization rate during the construction of photovoltaic power stations and reduce the operational risks under the photovoltaic power station leasing model has become one of the technical problems that need to be urgently solved in the field of digital management technology of photovoltaic power stations. Summary of the invention

[0004] Based on the above problems, the present application discloses a method for developing a photovoltaic power station, which is used to improve the construction efficiency and resource utilization rate during the construction of the photovoltaic power station and reduce the operating risks under the photovoltaic power station leasing model.

[0005] The embodiments of the present application disclose the following technical solutions:

[0006] The first aspect of the present application discloses a method for developing a photovoltaic power station, the method comprising:

[0007] Determine the construction demand data and leasing contract for photovoltaic power plants;

[0008] Based on the construction demand data, a construction process of the photovoltaic power station is generated; the construction process is stored in a process engine module of the management platform;

[0009] Through the process engine module, the construction tasks are executed in descending order of priority of the construction tasks in the construction process, the construction progress of the target construction tasks being executed is monitored, and corresponding engineering materials are allocated to the target construction tasks based on the construction progress;

[0010] After the construction of the photovoltaic power station is completed, the actual rent paid by the lessee of the photovoltaic power station and the actual income of the photovoltaic power station in the lease contract within the target time period are obtained through the process engine module as performance data;

[0011] Through the process engine module, a risk response factor is generated based on the performance data, and a risk disposal plan is executed based on the risk response factor; the risk response factor indicates the probability of default of the lessee of the photovoltaic power station in the lease contract.

[0012] In an optional implementation, the generating the construction process of the photovoltaic power station based on the construction demand data includes:

[0013] Analyze the construction demand data to determine multiple construction tasks and multiple engineering materials;

[0014] determining the priority of each of said construction tasks;

[0015] For each of the construction tasks, based on the dependency relationship between the construction task and other construction tasks, a task dependency matrix is ​​generated;

[0016] For each of the construction tasks, a resource allocation matrix is ​​generated based on the dependency relationship between the construction task and each of the engineering materials;

[0017] The construction process is generated based on the task dependency matrix, the resource allocation matrix and the priority of each of the construction tasks.

[0018] In an optional implementation, generating a risk response factor based on the performance data through the process engine module includes:

[0019] Input the performance data and the contract data in the lease contract into the performance verification function, and output the value of the performance status variable; the contract data includes the rent payable by the lessee during the target time period and the expected income of the photovoltaic power station;

[0020] When it is determined that the value of the performance status variable is less than a preset performance threshold, determining a default index based on the value of the performance status variable, the performance threshold, the performance data and the contract data;

[0021] When it is determined that the default index is greater than a preset risk threshold, the risk response factor is calculated based on the default index, the performance data and the contract data.

[0022] In an optional implementation, the method further includes:

[0023] After the target enterprise submits the construction lease application, obtain the qualification information of the target enterprise; the qualification information includes legal person information, guarantor information, installed capacity scale information of the photovoltaic power station and plant information;

[0024] After confirming that the qualification information of the target enterprise is complete, verify the qualification of the target enterprise;

[0025] After the target enterprise passes the qualification verification, the risk control model is called through the process engine module to calculate the risk control score based on the qualification information of the target enterprise;

[0026] Determining a leasing amount provided to the target enterprise based on the risk control score;

[0027] If the target enterprise accepts the lease amount, the construction demand data is provided to the target enterprise and the lease contract is generated.

[0028] In an optional implementation, the step of determining whether the qualification information is complete includes:

[0029] Based on the reported data of the legal person information, a value of the completeness index of the legal person information is generated;

[0030] Based on the reported data of the guarantor information, a value of the guarantor information completeness index is generated;

[0031] Based on the reported data of the installed capacity scale information, generating the value of the complete indicator of the installed capacity scale;

[0032] Based on the reported data of the plant information, generate the value of the complete index of the plant information;

[0033] Calculate the value of the target completeness index based on the value of the legal person information completeness index, the value of the guarantor information completeness index, the value of the installed capacity completeness index, and the value of the plant information completeness index;

[0034] If the value of the target completeness indicator is greater than a preset completeness threshold, it is determined that the qualification information is complete.

[0035] In an optional implementation, the method further includes:

[0036] The lease contract, the construction process, the construction progress of the target construction task, the corresponding construction materials allocated to the target construction task, the performance data and the risk management plan are all stored in the blockchain module of the management platform as storage data.

[0037] In an optional implementation, the method further includes:

[0038] After the lease contract ends, a summary report is generated based on the stored data.

[0039] The second aspect of the present application discloses a photovoltaic power station development device, the device comprising:

[0040] Develop a data determination module to determine the construction demand data and lease contracts for photovoltaic power plants;

[0041] A construction process acquisition module, used to generate the construction process of the photovoltaic power station based on the construction demand data; the construction process is stored in the process engine module of the management platform;

[0042] A construction task execution module, used to execute construction tasks in descending order of priority of construction tasks in the construction process through the process engine module, monitor the construction progress of the target construction tasks being executed, and allocate corresponding engineering materials to the target construction tasks based on the construction progress;

[0043] A performance data acquisition module, used to obtain, after the construction of the photovoltaic power station is completed, the actual rent paid by the lessee of the photovoltaic power station in the lease contract and the actual income of the photovoltaic power station in the target time period through the process engine module as performance data;

[0044] The risk determination module is used to generate a risk response factor based on the performance data through the process engine module, and execute a risk disposal plan based on the risk response factor; the risk response factor indicates the probability of default of the lessee of the photovoltaic power station.

[0045] A third aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method introduced in any implementation manner of the first aspect.

[0046] A fourth aspect of the present application provides an electronic device, including:

[0047] a memory having a computer program stored thereon;

[0048] A processor is used to execute the computer program in the memory to implement the steps of the method introduced in any implementation manner of the first aspect.

[0049] Compared with the prior art, this application has the following beneficial effects:

[0050] During the construction phase of a photovoltaic power station, this application generates a construction process based on the construction needs of the photovoltaic power station, and stores the construction process in the process engine module of the management platform; using the process engine module, the construction tasks are executed according to the priority of the construction tasks in the construction process, the construction progress is monitored in real time, and engineering materials are dynamically allocated to achieve accurate resource allocation and improve construction efficiency. During the leasing phase of a photovoltaic power station, the process engine module obtains performance data such as the rent payment of the lessee and the income of the power station, generates a risk response factor, scientifically quantifies the probability of default, predicts risks in advance, gets rid of the passive situation of post-processing, and executes risk disposal plans based on risk response factors to reduce operational risks. In this way, through the method in this application, the entire process of photovoltaic power station construction and leasing can be optimized, significantly improving construction efficiency and reducing operational risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0052] Figure 1 A flow chart of a photovoltaic power station development method provided in an embodiment of the present application;

[0053] Figure 2 A schematic diagram of a rental application process provided for an embodiment of the present application;

[0054] Figure 3 A schematic diagram of a construction process for generating a photovoltaic power station provided in an embodiment of the present application;

[0055] Figure 4 A flow chart for generating a risk response factor provided in an embodiment of the present application;

[0056] Figure 5 A schematic diagram of the structure of a photovoltaic power station development device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] With the vigorous development of the new energy industry, photovoltaic power stations are increasingly receiving widespread attention. At present, enterprises can provide electricity for their normal operations by building their own photovoltaic power stations. However, the construction of photovoltaic power stations involves many problems, including but not limited to: the construction of photovoltaic power stations involves multiple construction teams, such as the foundation construction team, the electrical installation team, the photovoltaic module installation team, etc.; if the communication is not smooth, there may be problems such as conflicts in construction progress and substandard construction quality. The installation quality of photovoltaic equipment directly affects the power generation efficiency and service life of the power station; if the installation process is not strictly in accordance with the technical specifications, there may be problems such as poor connection of photovoltaic modules and poor heat dissipation of inverters. Enterprises need to connect to the grid when building their own photovoltaic power stations, but the power grid company may put forward some requirements for grid connection, such as the voltage level of the grid connection point, access capacity restrictions, power quality requirements, etc.; if the enterprise cannot meet these conditions, it may affect the progress of grid connection.

[0058] To solve the above problems, enterprises generally cooperate with financial leasing companies, that is, sign construction and leasing contracts with financial leasing companies to solve many problems in the development of photovoltaic power stations. However, there are also many problems in the process of enterprises cooperating with financial leasing companies to develop photovoltaic power stations, including but not limited to:

[0059] (1) Existing project management software is difficult to adjust task scheduling based on real-time data from the construction site, resulting in limited construction progress and limited utilization of construction materials;

[0060] (2) The execution of the lease contract in the leasing model of photovoltaic power stations mainly relies on manual monitoring, and there is a situation where breach of contract is handled by post-event tracking. Measures are often not taken until the lessee defaults on rent or has abnormal income. There is a lack of active early warning and dynamic adjustment capabilities, and the operational risks are relatively high;

[0061] (3) There is a lack of a sharing mechanism for actual operating data in the leasing model of photovoltaic power stations, and there is information asymmetry between the two parties to the lease, which can easily lead to a crisis of trust.

[0062] In order to solve at least some of the problems existing in the prior art, the present application discloses a method for developing a photovoltaic power station. During the construction phase of the photovoltaic power station, a construction process is generated based on the construction needs of the photovoltaic power station, and the construction process is stored in the process engine module of the management platform; the process engine module is used to execute the construction tasks according to the priority of the construction tasks in the construction process, monitor the construction progress in real time and dynamically allocate engineering materials, so as to achieve accurate allocation of resources and improve construction efficiency. Furthermore, during the leasing phase of the photovoltaic power station, the process engine module obtains the performance data such as the rent payment of the lessee and the income of the power station, generates a risk response factor, scientifically quantifies the probability of default, predicts the risk in advance, gets rid of the passive situation of post-processing, and executes the risk disposal plan based on the risk response factor, realizes active control and prevention, and reduces operational risks. In this way, through the method in this application, the entire process of photovoltaic power station construction and leasing can be optimized, construction efficiency can be significantly improved, and operational risks can be reduced.

[0063] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0064] Figure 1 A flow chart of a photovoltaic power station development method provided in an embodiment of the present application. Figure 1 As shown, the photovoltaic power station development method disclosed in the present application includes:

[0065] S101, determine the construction demand data and leasing contract of the photovoltaic power station.

[0066] After the target enterprise proposes the demand for the use of a photovoltaic power station, the financial leasing company can provide the target enterprise with a rough list of costs and benefits of the photovoltaic power station based on the target enterprise's annual electricity costs.

[0067] For example, a financial leasing company can calculate the annual revenue generated after the completion of a photovoltaic power station based on formula (1). The target enterprise compares the current annual electricity expenditure with the annual revenue generated after the completion of the photovoltaic power station to determine whether to submit an application to the financial leasing company for the construction and leasing of the photovoltaic power station.

[0068] Among them, the expression of formula (1) is:

[0069] R=P*H*η*c (1)

[0070] In formula (1), R is the annual revenue generated after the completion of the photovoltaic power station; P is the installed capacity of the photovoltaic power station, H is the annual average equivalent sunshine hours, η is the system performance coefficient, and c is the electricity price.

[0071] After the target enterprise decides to build a photovoltaic power station through a contract with a financial leasing company and operate the photovoltaic power station through a financial leasing model, the target enterprise can submit a construction lease application in the management platform pre-built by the financial leasing company to start the construction lease application process.

[0072] It should be noted that the management platform in this application is a pre-built digital management platform, which integrates a process engine module, a blockchain module, a data storage module and an intelligent scheduling module. The platform management module can perform the construction task scheduling and engineering material allocation work involved in the construction of photovoltaic power stations based on the construction process of photovoltaic power stations; it can intelligently calculate the risk of default of the lessee during the validity period of the lease contract based on the contract terms recorded in the lease contract, and store all data during the construction of the photovoltaic power station and the execution of the lease contract in the blockchain module, ensuring that the data of the entire life cycle of the construction and leasing business of the photovoltaic power station are safely recorded and effectively tracked.

[0073] Figure 2 A schematic diagram of a rental application process provided in an embodiment of the present application. Figure 2 As shown, the rental application process disclosed in this application includes:

[0074] S201, obtaining the qualification information of the target enterprise.

[0075] Among them, the qualification information of the target enterprise includes: legal person information, guarantor information, installed capacity information of photovoltaic power stations and factory information, etc.

[0076] After the target enterprise submits the construction lease application, it needs to fill in the target enterprise's qualification information on the corresponding information filling page of the management platform. After the target enterprise fills in the above information, the management platform can obtain the target enterprise's qualification information.

[0077] S202: Determine whether the qualification information of the target enterprise is complete.

[0078] It is understandable that after the target enterprise submits the construction lease application, it will enter multiple information filling pages, covering legal person information, guarantor information, photovoltaic power station installed capacity and factory building information, etc. Each page contains a series of detailed filling contents.

[0079] Taking the legal person information filling page as an example, key information such as the legal person's name, ID number, contact information, current address and social position needs to be filled in.

[0080] There is a possible situation that the target enterprise only fills in part of the legal person information in the information filling page, and does not fill in all the contents of the legal person information. This may result in incomplete reporting of the legal person information.

[0081] In order to solve the above problems, this application defines a target completeness index. Through the relationship between the target completeness index and the preset completeness threshold, it is judged whether the qualification information reported by the target enterprise is complete. Specifically:

[0082] (1) Based on the reported data of legal person information, the value of the completeness index of legal person information is generated.

[0083] Exemplarily, the number of legal person information data that has been reported may be divided by the number of legal person information data that needs to be reported to obtain the value of the legal person information completeness index.

[0084] (2) Based on the reported data of the guarantor information, generate the value of the guarantor information completeness index.

[0085] Exemplarily, the number of data items of the guarantor information that have been reported may be divided by the number of data items of the guarantor information that needs to be reported to obtain the value of the guarantor information completeness index.

[0086] (3) Based on the reported data of installed capacity information, generate the numerical value of the complete installed capacity indicator.

[0087] Exemplarily, the number of data items of the installed capacity scale information that have been reported is divided by the number of data items of the installed capacity scale information that needs to be reported to obtain the value of the installed capacity scale information completeness index.

[0088] (4) Based on the reported data of the factory information, generate the numerical value of the complete index of the factory information.

[0089] Exemplarily, the number of data items of the plant information that have been reported may be divided by the number of data items of the plant information that needs to be reported to obtain the value of the plant information completeness index.

[0090] (5) Calculating the value of the target completeness index based on the value of the legal person information completeness index, the value of the guarantor information completeness index, the value of the installed capacity completeness index, and the value of the plant information completeness index.

[0091] For example, the values ​​of the legal person information completeness index, the guarantor information completeness index, the installed capacity completeness index, and the plant information completeness index can be substituted into formula (2) to calculate the value of the target completeness index. The expression of formula (2) is:

[0092]

[0093] Among them, Γ in formula (2) app is the target completeness indicator, I corp It is a complete indicator of legal person information. gua is the guarantor information completeness indicator, I inst is the completeness index of installed capacity information, I plant It is an indicator of complete plant information.

[0094] (6) If the value of the target completeness index is greater than a preset completeness threshold, it is determined that the qualification information is complete.

[0095] If the calculated value of the target completeness index is greater than the preset completeness threshold, it is determined that the target enterprise qualification information is complete, and the process proceeds to S203.

[0096] If the calculated value of the target completeness index is less than or equal to the preset completeness threshold, it is determined that the target enterprise qualification information is incomplete, and the target enterprise needs to return to S201 and continue to complete the qualification information that needs to be reported until the recalculated value of the target completeness index is greater than the preset completeness threshold, and then enter S203.

[0097] S203, verifying the qualifications of the target enterprise.

[0098] For example, face recognition may be used to verify the identity information of the legal person and the guarantor submitted by the target enterprise. After the target enterprise passes the qualification verification, it proceeds to S204.

[0099] S204, calling the risk control model through the process engine module, and calculating the risk control score based on the qualification information of the target enterprise.

[0100] That is, the risk control model is called through the process engine module in the management platform to verify the tax information, legal person risk and guarantee ability submitted by the target enterprise, and the risk control score is calculated.

[0101] Among them, the scoring card model is used as the risk control model in the risk control link of this application.

[0102] S205: Determine a leasing amount to be provided to the target enterprise based on the risk control score.

[0103] Substitute the risk control score into formula (3) to obtain the leasing amount provided to the target enterprise.

[0104] Among them, the expression of formula (3) is:

[0105]

[0106] Among them, P in formula (3) l is the lease amount, that is, the lease amount provided to the target enterprise; C a represents the customer's credit limit, κ is the risk sensitivity coefficient, R e represents the estimated power generation revenue of the photovoltaic power station, λ is the revenue magnification factor; S r It is the risk control score.

[0107] S206: If the target enterprise accepts the lease amount, the construction demand data is provided to the target enterprise and the lease contract is generated.

[0108] Specifically, if the lease amount provided by the financial leasing company to the target enterprise meets the target enterprise's funding expectations and the target enterprise accepts the lease amount, the financial leasing company will provide the target enterprise with construction demand data and automatically generate a lease contract through the process engine module in the management platform.

[0109] Among them, construction requirements include project geographic information, power station design parameters, construction resource allocation, grid access requirements and construction timing requirements.

[0110] Among them, the lease contract includes the photovoltaic power station's power generation performance data, lease term, profit distribution plan and performance requirements.

[0111] It is understandable that after the lease contract is signed and the approval process is passed, the management platform will automatically trigger the rent payment instruction through the process engine module and simultaneously calculate the first installment of the rent.

[0112] S102, generating a construction process of the photovoltaic power station based on the construction demand data; the construction process is stored in a process engine module of the management platform.

[0113] The construction demand data in this application includes, but is not limited to: project geographic information, power station design parameters, engineering materials, grid access requirements and construction timing requirements.

[0114] It is understandable that the construction materials used in the construction of a photovoltaic power station include but are not limited to construction equipment, installation materials, construction personnel and financial budget.

[0115] Figure 3 A schematic diagram of a construction process of a photovoltaic power station provided in an embodiment of the present application. Figure 3 As shown, after determining the construction demand data of the photovoltaic power station, the construction process of the photovoltaic power station is generated, including:

[0116] S301, analyzing the construction demand data to determine a plurality of construction tasks and a plurality of engineering materials.

[0117] As described in the above embodiments, the construction demand data includes the scale, functional requirements, technical standards, budget constraints, time schedule, etc. of the project.

[0118] Analyze and interpret the overall needs of the photovoltaic power station construction project in detail, clarify the goals of the photovoltaic power station construction project and the specific requirements for implementation; according to the analysis results of the construction demand data, decompose the entire project into multiple operational task units. For example, in a plant construction project, the construction tasks may include foundation construction, main structure construction, electrical installation, water supply and drainage system laying, interior decoration, etc. Each task has a clear scope of work, time nodes and technical requirements.

[0119] After analyzing the construction demand data, it is necessary to list the required materials according to the specific requirements of the construction task. For example, for a photovoltaic power station construction project, the construction materials may include photovoltaic modules, inverters, cables, brackets, electrical equipment, etc.; for plant construction, it may involve building materials (such as steel, cement, bricks), decorative materials, construction machinery, etc.

[0120] S302: Determine the priority of each of the construction tasks.

[0121] For example, T i is any one of the multiple construction tasks included in the construction process of a photovoltaic power station. If T i The delay time is d i , then As a construction task T i It is understandable that if d i The smaller the T i The larger the value, the greater the task T i Need to be implemented first.

[0122] S303: For each construction task among the multiple construction tasks, a resource allocation matrix is ​​generated based on the dependency relationship between the construction task and each of the engineering materials.

[0123] For example, R = (r ij ) represents the resource allocation matrix.

[0124]

[0125] S304: For each construction task among the multiple construction tasks, a task dependency matrix is ​​generated based on the dependency relationship between the construction task and other construction tasks.

[0126] For example, the dependency matrix can be expressed as M=(m ij ) is represented by. In which, each element m in the dependency matrix ij The value of can be determined by the following method. Specifically:

[0127] For any of the multiple construction tasks included in the construction process of the photovoltaic power station, i , determine the start time S of the construction task i and completion time F i , then F i =S i +D i ; Among them, D i For task T i The estimated construction period.

[0128] If the construction task T i Subject to the previous construction task T j Constraints, then It represents the construction task T i Can only be used in the previous task T j After completion, execution begins; S i It is the construction task T i The task start time, F j It is the construction task T j task completion time.

[0129] S305, after determining the task dependency matrix, the resource allocation matrix and the priority of each construction task, the construction process is generated and stored in the process engine module of the management platform.

[0130] It can be understood that: the process engine module contains a process engine, which is a software component or technical framework used to manage and automate business processes. It defines and stores the logic of the business process in a modeled form, and then automatically executes process tasks according to these definitions in actual operation, thereby achieving efficient management and automated operation of the business process.

[0131] S103, through the process engine module, execute construction tasks in descending order of priority of construction tasks in the construction process, monitor the construction progress of the target construction tasks being executed, and allocate corresponding engineering materials to the target construction tasks based on the construction progress.

[0132] During the construction of a photovoltaic power station, the process engine module is used to execute construction tasks in descending order of priority in the construction process, monitor the construction progress of the target construction tasks being executed, and allocate corresponding engineering materials to the target construction tasks based on the construction progress; and the execution progress, execution order and engineering materials corresponding to the detected construction tasks are recorded in the blockchain module of the management platform.

[0133] When the process engine module detects that the construction task progress is delayed or resources are insufficient, the intelligent scheduling module in the management platform will be called to optimize and adjust the construction task, and the adjustment plan will be stored in the blockchain module in the management platform to form a complete construction performance record.

[0134] It can be understood that the operations in this step can ensure that the construction tasks are completed on schedule and that resource scheduling is more efficient and reasonable.

[0135] S104, after the construction of the photovoltaic power station is completed, the actual rent paid by the lessee of the photovoltaic power station in the lease contract and the actual income of the photovoltaic power station in the target time period are obtained through the process engine module as performance data.

[0136] After the construction of the photovoltaic power station is completed, during the execution of the lease contract corresponding to the photovoltaic power station, the process engine module in the management platform continuously monitors the performance of the lease contract and obtains performance data.

[0137] Among them, the performance data includes: the actual rent paid by the lessee of the photovoltaic power station in the lease contract during the target time period of the lease contract and the actual income of the photovoltaic power station.

[0138] Furthermore, in this application, the performance data acquired within the target time period is stored in the blockchain module of the management platform to ensure data security and non-tamperability.

[0139] S105, generating a risk response factor based on the performance data through the process engine module, and executing a risk treatment plan based on the risk response factor.

[0140] In this step, the process engine module generates a risk response factor based on the performance data, and executes different risk management plans based on the size of the risk response factor; and records the executed risk management plans and related processing instructions in the blockchain module of the management platform to achieve the immutability and full tracking of the lease contract risk management information.

[0141] It should be noted that the greater the risk response factor calculated in this application, the greater the intensity of the corresponding treatment measures of the default handling plan, that is, different degrees of default have corresponding default handling measures. The default handling measures in the handling plan in this application include but are not limited to: issuing a notice of overdue payment, increasing the guarantee requirement, freezing part of the lease amount or terminating the lease contract.

[0142] Figure 4 A flow chart of generating a risk response factor is provided in an embodiment of the present application. Figure 4 As shown, the process of generating risk response factors in this application includes:

[0143] S401, obtaining the performance data and the contract data in the lease contract through a process engine module.

[0144] After obtaining the performance data of the lessee in the lease contract within the target time period (the actual rent of the lessee and the actual income of the photovoltaic power station) through the process engine module, the contract data in the lease contract stored in the blockchain module is further obtained through the process engine module, that is, the rent payable by the lessee in the lease contract within the target time period and the expected income of the photovoltaic power station.

[0145] S402, input the performance data and the contract data in the lease contract into a performance verification function, and output the value of the performance status variable.

[0146] The form of the performance verification function in this application is shown in formula (4), specifically:

[0147]

[0148] φ in formula (4) c Represents the value of the fulfillment status variable; P a The actual rent paid by the lessee during the target period, i.e. the actual rent paid; P d The rent payable by the lessee as recorded in the lease contract during the target period, i.e. the rent payable; R e is the actual income of the photovoltaic power station during the target period, is the expected income from operating the PV power station during the target time period recorded in the lease contract, μ is the sensitivity coefficient, and ξ is the performance judgment threshold.

[0149] S403: Determine whether the value of the fulfillment status is less than a preset fulfillment threshold.

[0150] If the value of the performance status is determined to be less than the preset performance threshold, it is determined that there is a risk of default and the process proceeds to S404 , otherwise it returns to S401 .

[0151] S404: Determine a default index based on the value of the performance status variable, the performance threshold, the performance data and the contract data.

[0152] Substitute the value of the performance status variable, the performance threshold, the performance data and the contract data into formula (5) to calculate the default index. The specific form of formula (5) is:

[0153]

[0154] Among them, Δφ in formula (5) is the default index; φ thr is the set compliance threshold; φ c Represents the value of the fulfillment status variable; P a The actual rent paid by the lessee during the target period, i.e. the actual rent paid; P d The rent payable by the lessee as recorded in the lease contract during the target period, i.e. the rent payable; R e is the actual income of the photovoltaic power station during the target period, P is the expected income from operating the photovoltaic power station during the target period of time recorded in the lease contract; d -P a represents the rental payment deviation, Represents the return deviation.

[0155] S405: Determine whether the default index is greater than a preset risk threshold.

[0156] If the default index is greater than the preset risk threshold, the default condition is triggered and the process goes to S406; otherwise, the process returns to S401.

[0157] S406: Calculate the risk response factor based on the default index, the performance data and the contract data.

[0158] Substituting the default index, performance data and contract data into formula (6), the risk response factor can be calculated. The expression of formula (6) is:

[0159]

[0160] Where, Ψ in formula (6) is the risk response factor; α r and β r are the weight coefficients of risk response; Pa The actual rent paid by the lessee during the target period, i.e. the actual rent paid; P d is the rent payable by the lessee in the lease contract during the target time period, i.e., the rent payable; Δφ is the default index. Among them, the risk response factor indicates the default probability of the lessee of the photovoltaic power station in the lease contract. The meanings of the remaining letters refer to the above text records and will not be repeated here.

[0161] In an optional implementation method, after the lease contract ends, a summary report can be generated based on the data stored in the blockchain module in the management platform, such as the lease contract, the construction process of the photovoltaic project, the construction progress of the target construction task, the corresponding construction materials allocated to the target construction task, performance data and risk management plans, etc.; in order to summarize the problems and experiences encountered during the project and provide a reliable basis for subsequent improvements to the project.

[0162] The present application discloses a method for developing a photovoltaic power station. During the construction phase of a photovoltaic power station, a construction process is generated based on the construction needs of the photovoltaic power station, and the construction process is stored in a process engine module of a management platform; the process engine module is used to execute construction tasks according to the priority of the construction tasks in the construction process, and the construction progress is monitored in real time and construction materials are dynamically allocated to achieve accurate resource allocation and improve construction efficiency. During the leasing phase of a photovoltaic power station, the process engine module obtains performance data such as the rent payment of the lessee and the income of the power station, generates a risk response factor, scientifically quantifies the probability of default, predicts risks in advance, gets rid of the passive situation of post-processing, and executes a risk disposal plan based on the risk response factor to achieve active control and prevention and reduce operational risks. In this way, through the method in this application, the entire process of photovoltaic power station construction and leasing can be optimized, significantly improving construction efficiency and reducing operational risks.

[0163] Based on the above content, it can be seen that this application has the following significant advantages:

[0164] (1) The process engine is used to realize the automated management of the photovoltaic power station construction and leasing process. Compared with the existing technology that relies on manual management or static scheduling, this application can significantly improve process efficiency, reduce manual intervention and errors, and at the same time have higher flexibility and can quickly adapt to changes in project requirements.

[0165] (2) The process engine is used to automatically execute the lease contract, automatically verify key performance data such as rent payment and power generation income, and automatically trigger the risk management process under abnormal circumstances. Compared with the existing technology that relies on manual verification and post-processing, this application can monitor the performance of the contract in real time, reduce the risk of default, and improve the transparency and reliability of contract management.

[0166] (3) Through the process engine and intelligent scheduling, task allocation and resource utilization in the process of photovoltaic power station construction are realized, and the task sequence and resource allocation are dynamically adjusted by combining the process engine and real-time data. Compared with the existing technology that relies on static construction plans, this application can be flexibly adjusted according to actual conditions, avoiding resource waste and construction delays, thereby significantly improving construction efficiency and project delivery speed.

[0167] (4) The process engine can respond to contract breach events in real time, calculate the breach index in real time and automatically trigger corresponding response measures, such as freezing the lease amount, adjusting the lease plan or terminating the contract. Compared with the existing technology that relies on post-event tracking, this application can provide early warning and quickly respond to breach risks, reduce losses, and ensure the security of projects and contracts.

[0168] (5) Through the combination of process engine and blockchain technology, this application can record the data of the entire project process to ensure that the information cannot be tampered with and is traceable. This not only improves the transparency of project management, but also provides reliable data support for subsequent audits, dispute resolution and experience summarization, enhancing the credibility and management efficiency of the project.

[0169] Based on the photovoltaic power station development method disclosed in the aforementioned embodiment, the present application also discloses a photovoltaic power station development device. Figure 5 A schematic diagram of a photovoltaic power station development device provided in an embodiment of the present application. Figure 5 As shown, the photovoltaic power station development device 500 disclosed in the present application includes:

[0170] Developing a data determination module 501 for determining construction demand data and a lease contract for a photovoltaic power station;

[0171] A construction process acquisition module 502 is used to generate a construction process of the photovoltaic power station based on the construction demand data; the construction process is stored in a process engine module of the management platform;

[0172] The construction task execution module 503 is used to execute the construction tasks in descending order of priority of the construction tasks in the construction process through the process engine module, monitor the construction progress of the target construction tasks being executed, and allocate corresponding engineering materials to the target construction tasks based on the construction progress;

[0173] The performance data acquisition module 504 is used to obtain, after the construction of the photovoltaic power station is completed, the actual rent paid by the lessee of the photovoltaic power station in the lease contract and the actual income of the photovoltaic power station in the target time period through the process engine module as performance data;

[0174] The risk determination module 505 is used to generate a risk response factor based on the performance data through the process engine module, and execute a risk disposal plan based on the risk response factor; the risk response factor indicates the default probability of the lessee of the photovoltaic power station.

[0175] In an optional implementation, the construction process acquisition module 502 includes:

[0176] A parameter parsing unit, used to parse the construction demand data and determine a plurality of construction tasks and a plurality of engineering materials;

[0177] A priority determination unit, used to determine the priority of each of the construction tasks;

[0178] A first matrix generating unit is used to generate a task dependency matrix for each of the construction tasks based on the dependency relationship between the construction task and other construction tasks;

[0179] A second matrix generating unit is used to generate a resource allocation matrix for each of the construction tasks based on the dependency relationship between the construction task and each of the engineering materials;

[0180] A construction process generation unit is used to generate the construction process based on the task dependency matrix, the resource allocation matrix and the priority of each construction task.

[0181] In an optional implementation, the risk determination module 505 includes:

[0182] A performance status variable determination unit, used to input the performance data and the contract data in the lease contract into the performance verification function, and output the value of the performance status variable; the contract data includes the rent payable by the lessee and the expected income of the photovoltaic power station during the target time period;

[0183] a default index determining unit, configured to determine a default index based on the value of the performance status variable, the performance threshold, the performance data and the contract data when it is determined that the value of the performance status variable is less than a preset performance threshold;

[0184] A response factor determination unit is used to calculate the risk response factor based on the default index, the performance data and the contract data after determining that the default index is greater than a preset risk threshold.

[0185] In an optional implementation, the photovoltaic power station development device 500 further includes:

[0186] A qualification information acquisition module is used to obtain the qualification information of the target enterprise after the target enterprise submits a construction lease application; the qualification information includes legal person information, guarantor information, installed capacity scale information of the photovoltaic power station and plant information;

[0187] A qualification verification module, used to verify the qualification of the target enterprise after determining that the qualification information of the target enterprise is complete;

[0188] A risk control score calculation module, used to calculate the risk control score based on the qualification information of the target enterprise after the target enterprise passes the qualification verification, call the risk control model through the process engine module;

[0189] A leasing quota calculation module, used to determine the leasing quota provided to the target enterprise based on the risk control score;

[0190] A lease contract generation module is used to provide the target enterprise with the construction demand data and generate the lease contract if the target enterprise accepts the lease amount.

[0191] In an optional implementation, the qualification information acquisition module includes:

[0192] A first index determination unit, configured to generate a value of a complete index of legal person information based on the reported data of the legal person information;

[0193] A second index determination unit, configured to generate a value of a guarantor information completeness index based on the reported data of the guarantor information;

[0194] A third index determination unit, configured to generate a value of a complete index of installed capacity scale based on the reported data of the installed capacity scale information;

[0195] A fourth index determination unit, used to generate a value of a complete index of the plant information based on the reported data of the plant information;

[0196] a target index determination unit, configured to calculate a value of a target completeness index based on a value of the legal person information completeness index, a value of the guarantor information completeness index, a value of the installed capacity completeness index, and a value of the plant information completeness index;

[0197] A judgment unit is used to determine that the qualification information is complete if the value of the target completeness indicator is greater than a preset completeness threshold.

[0198] In an optional implementation, the photovoltaic power station development device 500 further includes:

[0199] The report generation module is used to generate a summary report based on the stored data after the lease contract ends.

[0200] Based on the photovoltaic power station development method and device provided in the aforementioned embodiments, accordingly, the present application also provides a computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements some or all of the steps in the photovoltaic power station development method mentioned above.

[0201] Based on the photovoltaic power station development method and device provided in the above embodiments, the present application further provides an electronic device, including:

[0202] a memory having a computer program stored thereon;

[0203] The processor is used to execute the computer program in the memory to implement part or all of the steps in the photovoltaic power station development method provided in the above embodiment.

[0204] It should be noted that each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. The device embodiment described above is merely schematic, in which the unit described as a separate component may or may not be physically separated, and the component prompted as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative work.

[0205] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for developing a photovoltaic power station, characterized in that: The method comprises: Determine the construction demand data and leasing contract for photovoltaic power plants; Based on the construction demand data, a construction process of the photovoltaic power station is generated; the construction process is stored in a process engine module of the management platform; Through the process engine module, the construction tasks are executed in descending order of priority of the construction tasks in the construction process, the construction progress of the target construction tasks being executed is monitored, and corresponding engineering materials are allocated to the target construction tasks based on the construction progress; After the construction of the photovoltaic power station is completed, the actual rent paid by the lessee of the photovoltaic power station and the actual income of the photovoltaic power station in the lease contract within the target time period are obtained through the process engine module as performance data; Through the process engine module, a risk response factor is generated based on the performance data, and a risk disposal plan is executed based on the risk response factor; the risk response factor indicates the probability of default of the lessee of the photovoltaic power station in the lease contract.

2. The method according to claim 1, characterized in that: The generating of the construction process of the photovoltaic power station based on the construction demand data includes: Analyze the construction demand data to determine multiple construction tasks and multiple engineering materials; determining the priority of each of said construction tasks; For each of the construction tasks, based on the dependency relationship between the construction task and other construction tasks, a task dependency matrix is ​​generated; For each of the construction tasks, a resource allocation matrix is ​​generated based on the dependency relationship between the construction task and each of the engineering materials; The construction process is generated based on the task dependency matrix, the resource allocation matrix and the priority of each of the construction tasks.

3. The method according to claim 1, characterized in that The step of generating a risk response factor based on the performance data through the process engine module includes: Input the performance data and the contract data in the lease contract into the performance verification function, and output the value of the performance status variable; the contract data includes the rent payable by the lessee during the target time period and the expected income of the photovoltaic power station; When it is determined that the value of the performance status variable is less than a preset performance threshold, determining a default index based on the value of the performance status variable, the performance threshold, the performance data and the contract data; When it is determined that the default index is greater than a preset risk threshold, the risk response factor is calculated based on the default index, the performance data and the contract data.

4. The method according to claim 1, characterized in that: The method further comprises: After the target enterprise submits the construction lease application, obtain the qualification information of the target enterprise; the qualification information includes legal person information, guarantor information, installed capacity scale information of the photovoltaic power station and plant information; After confirming that the qualification information of the target enterprise is complete, verify the qualification of the target enterprise; After the target enterprise passes the qualification verification, the risk control model is called through the process engine module to calculate the risk control score based on the qualification information of the target enterprise; Determining a leasing amount provided to the target enterprise based on the risk control score; If the target enterprise accepts the lease amount, the construction demand data is provided to the target enterprise and the lease contract is generated.

5. The method according to claim 4, characterized in that The step of determining that the qualification information is complete includes: Based on the reported data of the legal person information, a value of the completeness index of the legal person information is generated; Based on the reported data of the guarantor information, a value of the guarantor information completeness index is generated; Based on the reported data of the installed capacity scale information, generating the value of the complete indicator of the installed capacity scale; Based on the reported data of the plant information, generate the value of the complete index of the plant information; Calculate the value of the target completeness index based on the value of the legal person information completeness index, the value of the guarantor information completeness index, the value of the installed capacity completeness index, and the value of the plant information completeness index; If the value of the target completeness indicator is greater than a preset completeness threshold, it is determined that the qualification information is complete.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: The lease contract, the construction process, the construction progress of the target construction task, the corresponding construction materials allocated to the target construction task, the performance data and the risk management plan are all stored in the blockchain module of the management platform as storage data.

7. The method according to claim 6, characterized in that The method further comprises: After the lease contract ends, a summary report is generated based on the stored data.

8. A photovoltaic power station development device, characterized in that: The device comprises: Develop a data determination module to determine the construction demand data and lease contracts for photovoltaic power plants; A construction process acquisition module, used to generate the construction process of the photovoltaic power station based on the construction demand data; the construction process is stored in the process engine module of the management platform; A construction task execution module, used to execute construction tasks in descending order of priority of construction tasks in the construction process through the process engine module, monitor the construction progress of the target construction tasks being executed, and allocate corresponding engineering materials to the target construction tasks based on the construction progress; A performance data acquisition module, used to obtain, after the construction of the photovoltaic power station is completed, the actual rent paid by the lessee of the photovoltaic power station in the lease contract and the actual income of the photovoltaic power station in the target time period through the process engine module as performance data; The risk determination module is used to generate a risk response factor based on the performance data through the process engine module, and execute a risk disposal plan based on the risk response factor; the risk response factor indicates the probability of default of the lessee of the photovoltaic power station.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method described in any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 7.

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