Method and system for automated audit of construction data using smart contracts and artificial intelligence
Patent Information
- Authority / Receiving Office
- NL · NL
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2025-06-12
- Publication Date
- 2026-07-30
Abstract
Description
TECHNICAL FIELD This document relates to the technical eld of photovoltaic power station construction management, and in particular, to a method and system for automated audit of construction data based on smart contracts and AI. BACKGROUND As the scale of photovoltaic power station construction continues to expand, a construction process involves multiple links, such as: photovoltaic module installation, cable wiring, transformer grid connection, quality inspection (voltage, current, temperature and the like). Several critical issues exist in current photovoltaic construction management practices: (1) Manual audits are inefcient and time- consuming, construction data relies on manual inspection, and the audit cycle is long, which affects the progress of the project. (2) Construction data is susceptible to tampering and its authenticity is difcult to guarantee. Submitted data may be falsied by contractors, posing signicant quality risks. (3) Quality inspections rely heavily on human labor, and there is a high risk of misjudgment. Construction photos and inspection data are mainly analyzed manually, which may lead to misjudgment and affect construction quality. (4) The payment process involves multiple approval layers, which affects the capital recovery of contractors and reduces project efciency. In summary, the problems in the existing technology are as follows: traditional construction audits rely on manual approval, which is inefcient and lacks transparency. Existing construction management systems fail to integrate smart contracts and AI, thereby failing to automatically perform audit and trigger payment. SUMMARY An objective of the present disclosure is to provide a method and system for automatic audit of construction data based on smart contracts and AI, which is designed to address the aforementioned limitations in current photovoltaic construction management practices. The present disclosure provides a method for automatic audit of construction data based on smart contracts and AI, which comprises: acquiring construction data, performing smart contract audit on the construction data, determining whether the construction data meets preset construction progress standards, and determining whether to approve construction progress based on a determination result; applying computer vision techniques to analyze construction photos and assess their compliance with predened quality standards; upon verifying that construction progress is complete and compliant with predened standards, the system automatically triggers payment via smart contracts; and saving construction audit data to a blockchain. The present disclosure provides a device for automatic audit of construction data based on smart contracts and AI, which comprises: a construction data collection module congured to acquire construction data; a smart contract audit module congured to perform smart contract audit on the construction data, determine whether the construction data meets preset construction progress standards, and determine whether to approve construction progress based on a determination result; an AI quality analysis module congured to use computer vision to perform AI analysis on construction photos in the construction data, and perform compliance determination on the construction data; a payment trigger module congured to automatically initiate contractually dened payments upon verication that construction milestones meet quality and progress standards; and a blockchain evidence storage module congured to store construction audit data on a blockchain. An embodiment of the present disclosure further provides an electronic device, which comprises: a memory, a processor, and a computer program stored in the memory and executable by the processor, where the computer program, when executed by the processor, implements the steps of the method for automatic audit of construction data based on smart contracts and AI. An embodiment of the present disclosure further provides a computer-readable storage medium, where an implementation program for information transmission is stored on the computerreadable storage medium, and the program, when executed by a processor, implements the steps of the method for automatic audit of construction data based on smart contracts and AI. The method for automatic audit of photovoltaic power station construction data based on smart contracts and articial intelligence (A1) of the embodiment of the present disclosure is adopted, and the construction data of the photovoltaic power station (such as module installation, grid connection testing, quality inspection, etc.) is automatically audited through the smart contracts to ensure that the construction progress and quality meet the standards, and automatically trigger subsequent processes such as payment, approval, and notication when the conditions are met. At the same time, the embodiment of the present disclosure combines articial intelligence (AI) technology and uses the computer vision (CV) to intelligently identify construction site photos, analyze the installation angles and damage of photovoltaic modules, and use sensor data analysis to judge whether the voltage, current, and temperature of the photovoltaic panels meet the standards, thereby ensuring construction quality. The embodiments of the present disclosure improve the automation and intelligence level of construction audit, reduce manual intervention, improve efciency, and ensure the compliance of photovoltaic power station construction. The present disclosure can be widely applied in intelligent management of photovoltaic power stations, wind power, intelligent buildings, nuclear power plants and other engineering projects. BRIEF DESCRIPTION OF THE DRAWINGS In order to more clearly illustrate one or more embodiments of this specication or the technical solutions in the existing technology, the drawings required for use in the embodiments or the description of the existing technology will be briey introduced below. Obviously, the drawings described below are only some embodiments recorded in this specication. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without paying creative labor. Fig. 1 is a ow chart of a method for automatic audit of construction data based on smart contracts and AI according to an embodiment of the present disclosure; Fig. 2 is a detailed ow chart of smart contract audit and execution according to an embodiment of the present disclosure; Fig. 3 is a ow chart of a construction status according to an embodiment of the present disclosure; Fig. 4 is a schematic diagram of a system for automatic audit of construction data based on smart contracts and AI according to an embodiment of the present disclosure; and Fig. 5 is a schematic diagram of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of the present specication, the technical solutions in one or more embodiments of the present specication will be clearly and completely described below in conjunction with the drawings in one or more embodiments of the present specication. Obviously, the described embodiments are only part of the embodiments of the present specication, rather than all of the embodiments. Based on one or more embodiments of this specication, all other embodiments obtained by those of ordinary skill in the art without making any creative work should fall within the scope of protection of this document. Method embodiments According to an embodiment of the present disclosure, a method for automatic audit of construction data based on smart contracts and AI is provided. Fig. 1 is a ow chart of a method for automatic audit of construction data based on smart contracts and AI according to an embodiment of the present disclosure. As shown in Fig. 1, the method for automatic audit of construction data based on smart contracts and AI according to an embodiment of the present disclosure specically comprises: Step S 101: acquiring construction data, performing smart contract audit on the construction data, determining whether the construction data meets preset construction progress standards, and determining whether to approve construction progress based on a determination result, where acquiring construction data specically comprises: acquiring the construction data through sensors and / or cameras, where the construction data specically comprises: voltage data, current data, construction photo hash values and a construction report, and the construction report specically comprises a contractor ID, a construction project ID, and construction phase information. Step S102: applying computer vision techniques to analyze construction site photos in the construction data, and performing compliance determination on the construction data, where the step specically comprises: using computer vision to perform AI analysis on the construction photos, checking installation angles of photovoltaic panels, identifying whether modules are damaged, contaminated or loose, and determining whether the construction data contains the construction photos, and whether the voltage data and the current data meet the standards. Step 8103: upon verication that the construction progress satises predened standards, the smart contract automatically initiates payment; and Step $104: storing construction audit data, comprising construction data, audit results, payment records, and construction status, on a blockchain for tamper-proof storage. The method for audit of construction data based on smart contracts and AI of the embodiment of the present disclosure can implement: (1) integrity check of construction data; (2) automatic audit of quality detection; (3) automatic approval of construction progress; (4) automatic payment triggering by smart contracts; and (5) blockchain evidence storage for preventing tampering. The technical solution of the present disclosure can be used for: photovoltaic power station construction management, wind farms, nuclear power plant construction, and large-scale intelligent building construction. The above technical solution of the embodiment of the present disclosure is described in detail below in conjunction with the accompanying drawings. The embodiment of the present disclosure uses smart contracts to judge the integrity and quality standards of the construction data. The audit logic is as follows: l.Data integrity check: a contractor submits construction reports, photo hash values, and sensor data (voltage, current). 2.Compliance audit: Are construction photos uploaded? Does the sensor data meet standards? 3.Automatic payment triggering: if the audit is approved, payment will be triggered to the construction party. If the audit fails, the construction party will be notied to make corrections. Smart contract audit implementation: The implementation of smart contracts needs to cover processes such as construction data submission, audit determination, and automatic payment. The following is a pseudocode description of the smart contract to clearly express the core logic and execution steps: ( 1) Audit logic Contract Name: SolarPlantAudit (Photovoltaic Power Plant Construction Audit) 1. Dene variables: - Construction data storage structure (Installation) - ID (unique construction number) - Contractor - PhotoHash - Voltage - Current - Audit Status (AuditStatus): {Pending, Approved, Rejected} - Construction data mapping table (Installations) [storing all construction data] - Events: Construction submitted, audit approved, audit failed, payment triggered 2. A contractor submits construction data: - Ensure integrity of construction data (photo hash, voltage, current, etc.) - Saved to a blockchain - Set the status to "Pending" - Trigger event (InstallationSubmitted) 3. A supervisor audits construction data: - Read construction data - Check the voltage range (45V N 50V) and current range (9A ~ 11A) - If the standards are met: Status is set to "Approved" Trigger payment Trigger event (InstallationApproved) If the standard is not met: Set the status to "Rejected" Trigger event (InstallationRejected) 4. Trigger payment: If the construction audit is approved, a payment contract (PaymentContract) will be automatically called - Record a payment timestamp - Trigger event (PaymentTriggered) 5. Check a construction status: - The construction party can check the construction status (Pending / Approved / Rejected) Fig. 2 illustrates in detail automatic execution logic of smart contracts in the construction audit of a photovoltaic power plant. Fig. 3 illustrates in detail the construction status process, specically: 1.The contractor submits data, and the smart contract checks data integrity and rejects the data if there is any missing data. 2.During the audit phase, the supervisor reads the data: sensor data is qualied > approve the audit; sensor data is unqualied > return for corrections. 3.After the audit is approved, the payment will be triggered and a transaction timestamp will be recorded to ensure transparency and traceability of the payment. 4.All audit processes and payment records are stored in the blockchain to ensure that the data cannot be tampered. Compared with a traditional construction management system, the embodiment of the present disclosure has the following advantages: 1.Smart contracts automatically perform audits: construction data complies with standards and is automatically approved. If the construction data is abnormal, the data will be automatically rejected and the contractor will be notied to make corrections. 2.AI quality inspection: computer vision analyzes photos to prevent photovoltaic module installation angle deviation. Sensor data analysis is used to automatically identify construction quality problems. 3.Improved audit efciency: traditional manual audit takes 2 to 3 days, while smart contract audit only takes a few seconds. 4.Improved construction transparency: all construction data is stored to the blockchain to prevent tampering. 5.Automatic payment triggering After the construction is qualied, payment will be automatically made to the contractor to improve capital liquidity. The above technical solution of the embodiment of the present disclosure is illustrated below with reference to examples. Embodiment 1: Photovoltaic power station construction data audit based on smart contracts (1) Practical application scenario A photovoltaic power station construction project requires audit of construction progress, equipment installation quality, and grid connection testing. Traditional audit methods mainly rely on manual approval, which has a long audit cycle and poses a risk of data tampering. In order to improve efciency and transparency of construction data audit, the project introduces a system for audit of construction data based on smart contracts to ensure automatic processing of construction data and intelligent execution of fund payments. (2) Implementation process 1.Data submission by contractor After construction is completed, the contractor uploads data such as construction progress, installation photo hash values, voltage, current, etc. Construction data is stored through blockchain to ensure the data cannot be tampered with and the status is marked as "pending ". 2.Automatic audit by smart contract The smart contract calls preset rules to check whether the data is integrate (comprising contractor ID, project ID, construction phase, etc.). The smart contract veries whether the voltage and current are within the preset ranges (45V N 50V, 9AN 11A). The smart contract checks hash values of construction photos to ensure that construction records are matched. 3 Construction audit result If the construction data meets requirements, the construction status is updated to "Approved". If the data does not meet the standards (such as low voltage or no photos uploaded), the smart contract will update the status to "rejected" and notify the contractor to make corrections. 4.Payment triggering After the construction data passes the audit, the smart contract automatically calls the blockchain payment contract to pay the contractor as agreed in the contract (such as 50% payment based on progress). Construction payment information is written into the blockchain for the supervisor to query. 5.Query and supervision The supervisor can check the construction status at any time and view the construction data and audit records stored on the blockchain. (3) Technical feasibility: This embodiment is based on existing smart contract technology, blockchain data storage and payment contracts, and can be implemented through blockchain platforms such as Ethereum or Hyperledger Fabric. Smart contract codes can be developed based on the Solidity language, and the payment module can be connected to the enterprise account system to ensure practical feasibility. Embodiment 2: AI-assisted construction quality inspection (1) Practical application scenario In construction of a photovoltaic power station, the installation quality of photovoltaic modules has a signicant impact on power generation efciency. To ensure that the module installation complies with technical standards, this embodiment introduces articial intelligence (AI) quality inspection, combines with smart contracts for data audit, reduces human intervention, and improves construction quality. (2) Implementation process 1.Construction photo uploading by contractor After the installation is completed, construction workers use smartphones / drones to take photos of the photovoltaic module installation and upload the photos to a blockchain. Hash values of the construction photos are recorded in the smart contract to ensure data integrity. 2.AI quality analysis A computer vision (CV) model analyzes the construction photos to analyze the installation angles of photovoltaic modules to determine whether they fall within the acceptable range (e. g., within i5° of the designated tilt angle). AI identies whether the photovoltaic panels have abnormal conditions such as damage, looseness, and contamination. After the AI analysis is completed, detection results are submitted to the smart contract. 3.Smart contract audit Smart contract determination of AI analysis results: If the angle is qualied and there is no damage, the construction status will be updated to "approved". If an abnormality is detected, the status is updated to "under correction" and the contractor is automatically notied to make corrections. 4.Payment execution After the construction audit is approved, the smart contract automatically triggers payment and writes construction records to a blockchain to ensure data traceability. 5.Query and ling The contractor and supervisor can query AI analysis results and audit records at any time to ensure that construction of the photovoltaic power station meets the standards. (3) Technical feasibility: This embodiment can perform image analysis based on computer vision (OpenCV, etc.) and perform data audit and automatic payment through smart contracts. AI models can run on servers or in the cloud, and smart contracts can be implemented based on Solidity or Hyperledger Chaincode, which has high feasibility. Embodiment 3: Automatic audit of construction sensor data (1) Practical application scenario During construction of a photovoltaic power station, the installed photovoltaic modules need to meet specic voltage and current standards. In order to reduce human measurement errors, this embodiment uses IoT sensors to automatically collect construction data and performs audit in conjunction with smart contracts to ensure the installation quality of photovoltaic modules. (2) Implementation process 1.Construction data collection After each photovoltaic module is installed, A contractor uses IoT devices to measure the voltage, current, and temperature of the module. Sensor data is uploaded to a blockchain via wireless networks such as 5G. 2.Smart contract audit A smart contract compares voltage and current values: Allowable voltage range: 45V N 50V Allowable current range: 9A N llA If the data is qualied, the construction progress will be automatically approved and the status will be updated to "Completed". If the data exceeds the range, the construction status is updated to "correction required" and the construction party is automatically notied. 3.Automatic payment If all module data is qualied, the smart contract triggers payment, and the payment amount is calculated based on the number of modules. Construction records are stored in a blockchain to ensure data traceability. 4.Data query A supervisor can query the construction data and audit records of the photovoltaic modules and export audit reports at any time. (3) Technical feasibility: This embodiment combines the Internet of Things (IoT), blockchain and smart contracts. Data collection can be done through sensors, data storage can be based on Ethereum or Hyperledger, and the smart contracts can perform data verication and payment execution. The overall implementation is practically feasible. Embodiment 4 A contractor submits construction data, comprising but not limited to: contractor ID, construction project ID, a construction phase, construction photo hash values (cryptographic hashes uniquely identifying each image, ensuring integrity), construction sensor data (voltage, current); a smart contract stores the construction data and performs data integrity inspection: verifying whether the construction photo hash values are uploaded and verifying that the voltage and current are within the predened ranges. If the data meets the construction standards, the smart contract updates the construction status to "approved". If the data does not meet the standards, the smart contract updates the construction status to "rejected" and noties the contractor to make corrections. The contractor uploads construction photos, and the system calculates the hash values of the photos and stores the values in a blockchain. An AI quality inspection model analyzes construction photos: inspecting whether installation angles of photovoltaic modules meet the standards (within i5°). The module identies whether the modules are damaged, contaminated, or loose. An Al analysis result is submitted to the smart contract: if the result is qualied, the audit is approved. If the result is unqualied, the contractor will be notied to make corrections and store the audit records. The contractor installs sensors to collect construction data (voltage, current, and temperature). Sensor data is uploaded to a blockchain via wireless networks (such as 5G) and stored by smart contracts. The smart contracts perform construction quality audit: if the voltage and current meet the standards, the construction status is updated to "approved". If the data exceeds the range, the construction status will be updated to "correction required" and the contractor will be notied. The contractor completes the construction and submits the audit data. If the audit is approved, the smart contract calls the payment contract and pays the amount according to the contract (such as 50%). If the audit fails, the construction progress will be rejected and the contractor will be notied to make corrections. Construction payment information is stored on the blockchain, ensuring that the payment process is transparent and traceable. Construction data (photo hash, sensor data, audit results) is stored on the blockchain to ensure that the data cannot be tampered. The construction data evidence stored is available for query by a supervisor to ensure the transparency of construction quality. The contractor, supervisor, and owner can all query the stored evidence data to ensure that the construction process is traceable. After the contractor uploads the construction data, the construction status is stored in the blockchain, pending: The construction data is uploaded and awaiting audit. "Approved": Once approved, the next step of construction or payment is allowed. "Rejected": If the data does not meet the standards, the contractor is notied to make corrections. The supervisor can check the construction status at any time and export audit reports. The embodiment of the present disclosure provides a method for automatic audit of construction data of a photovoltaic power station based on smart contract + AI technology. Compared with a traditional construction management method, the method has the following innovations: 1. Construction data audit by smart contracts: smart contracts are used to predene construction standards and automatically audit construction data (comprising photovoltaic module installation, quality inspection, and grid connection testing) to ensure that the data cannot be tampered. Traditional construction audits rely on manual inspections. The present disclosure automatically performs audit through the smart contracts, reducing human intervention and improving approval efficiency. 2. AI quality inspection: combined with computer vision (CV), installation photos of the photovoltaic modules are analyzed to automatically identify: whether the module angle meets the standard (deviation does not exceed i5°), and whether the modules are damaged, contaminated, or loose. Traditional construction quality inspection mainly relies on manual visual inspection, which has a high risk of misdetermination. The present disclosure uses AI image recognition to improve audit accuracy and automatically submits the test results to the smart contract for verication. 3. Real-time collection of construction data using the Internet of Things (IoT): Construction quality inspection uses sensor data (voltage, current, temperature) to automatically upload to the blockchain: allowable voltage range: 45V N 50V; allowable current range: 9A N 11A. Traditional construction data is manually entered, which is prone to errors. The present disclosure automatically collects and stores construction data in real time, thereby improving data authenticity and reliability. 4. Construction payment intelligent trigger: After the contractor completes the audit, the smart contract automatically calls the payment contract and pays the amount according to the contract progress: if the audit is approved, 50% of the construction fee will be automatically paid; if the audit fails, it will be rejected and the contractor will be notied to make corrections. Traditional payment methods require multiple levels of manual approval and the process is lengthy. The present disclosure is based on blockchain payment contracts to ensure that the payment process is transparent, efcient and traceable. 5. Blockchain evidence storage of construction data: construction data (photo hash, sensor data, audit results) are stored on the blockchain to ensure that they cannot be tampered and avoid data falsication. Traditional construction management systems rely on centralized databases, which pose a risk of tampering. The present disclosure adopts decentralized storage to ensure data security and credibility. 6. Traceable and transparent construction status: the supervisor can check construction status, quality inspection data, and audit records at any time to ensure that construction meets standards. Traditional construction records are difcult to trace and problems are discovered late. The present disclosure records the construction process through smart contracts, which can be queried at any time to ensure project compliance. In summary, the embodiment of the present disclosure provides an intelligent, automatic, and decentralized construction audit solution. Through smart contracts and AI technology, the solution realizes the automatic audit of photovoltaic power station construction data. The solution can be widely used in photovoltaic power stations, wind power, smart buildings and other projects to ensure construction quality, improve audit efciency, realize automatic payment, and achieve full-process transparency and automatic audit. Device embodiment 1 According to an embodiment of the present disclosure, a system for automatic audit of construction data based on smart contracts and AI is provided. Fig. 4 is a schematic diagram of a system for automatic audit of construction data based on smart contracts and AI according to an embodiment of the present disclosure. As shown in Fig. 4, the system for automatic audit of construction data based on smart contracts and AI according to an embodiment of the present disclosure specically comprises: a construction data collection module 40 congured to acquire construction data; specically congured to: acquire the construction data through sensors and / or cameras, where the construction data specically comprises: voltage data, current data, construction photo hash values and a construction report, and the construction report specically comprises a contractor ID, a construction project ID, and construction phase information; a smart contract audit module 41 congured to perform smart contract audit on the construction data, determine whether the construction data meets preset construction progress standards, and determine whether to approve construction progress based on a determination result; an AI quality analysis module 42 congured to use computer vision to perform AI analysis on construction photos in the construction data, and perform compliance determination on the construction data; specically congured to: use computer vision to perform AI analysis on the construction photos, check installation angles of photovoltaic panels, identify whether modules are damaged, contaminated or loose, and determine whether the construction data contains the construction photos and whether the voltage data and the current data meet the standards; a payment trigger module 43 congured to, when the construction progress is completed and meets the standards, automatically trigger corresponding payment through the smart contracts; and a blockchain evidence storage module 44 congured to save construction audit data to a blockchain; specically congured to: save the construction data, audit records, payment records and a construction status to a blockchain. In summary, the system of the present disclosure is composed of the following modules: 1. Construction data collection module: Construction data (such as voltage, current, and installation angle) are collected through sensors and cameras. 2. Smart contract audit module: Construction standards are preset to automatically judge whether the data meets the requirements, and decide whether to approve the construction progress. 3. AI quality analysis module: Computer vision is used to analyze construction photos and check the angles and damage of photovoltaic panels. Data analysis is used to detect sensor data and judge whether the data is compliant. 4. Payment trigger module: Once the construction is completed and meets the standards, the smart contract automatically triggers payment. 5. Blockchain evidence storage module: All audit records are stored in the blockchain to ensure that the data is authentic and cannot be tampered. The embodiment of the present disclosure is a device embodiment corresponding to the above method embodiment. The specic operations of each module can be understood by referring to the description of the method embodiment, which will not be repeated here. Device embodiment 2 An embodiment of the present disclosure provides an electronic device, as shown in Fig. 5, comprising: a memory 50, a processor 52 and a computer program stored in the memory 50 and runnable on the processor 52, where the computer program, when executed by the processor 52, implements the steps described in the method embodiment. Device embodiment 3 An embodiment of the present disclosure provides a computer-readable storage medium, where an implementation program for information transmission is stored on the computer-readable storage medium, and the program, when executed by a processor 52, implements the steps described in the method embodiment. The computer-readable storage medium of this embodiment comprises but is not limited to: ROM, RAM, magnetic disk or optical disk, etc. Finally, it should be noted that: The above embodiments are only used to illustrate the technical solutions of the present disclosure, but not to limit them. Although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that: it is still possible to modify the technical solutions recorded in the aforementioned embodiments, or to replace part or all of the technical features therein with equivalents; However, these modications or substitutions do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present disclosure.
Claims
1. Method for automatically assessing construction data based on of smart contracts and artificial intelligence AI, characterized by: acquiring construction data, carrying out an assessment on the construction data using smart contracts, determining whether the construction data meets the preset construction progress standards, and determining whether construction progress should be approved based on the determination results; Using computer vision to power AI analysis on the to export construction photos into the construction data, and to perform a compliance assessment on the construction data; upon verification that the construction progress meets the predetermined standards, the smart contract automatically initiates the payment; and storing the construction assessment data in a blockchain.
2. Method according to claim ], wherein the acquisition of construction data in particular the following includes: acquiring construction data via sensors and / or cameras; whereby the construction data in particular includes the following: stress data, current data, construction photo hash value and construction report; and where the construction report in particular includes the following: contractor ID, construction project ID and construction phase information.
3. A method according to claim 1, wherein use is made of Using computer vision to perform AI analysis on the construction photos in the construction data and make a compliance assessment on the construction data, in particular includes: Using computer vision to perform AI analysis on the construction photos; check the installation angle of the photovoltaic panels; determine whether the components are damaged, contaminated or loose; and assess whether the construction data include construction photographs; and whether the stress data and current data meet the standards.
4. The method of claim 1, wherein storing the Construction assessment data in the blockchain specifically includes the following: storing the construction data, assessment records, payment records and construction status in the blockchain.
5. Automatic assessment system for construction data based on smart contracts and AI, which includes: a construction data collection module, used to collect construction data acquire; a smart contract assessment module configured to to perform smart contract assessment on the construction data, to determine whether the construction data to the preset standards for construction progress meet and determine whether construction progress should be approved based on of the determination results; an AI quality analysis module configured to to use computer vision to perform AI analysis on the construction photographs in the to perform construction data and compliance determination on the construction data to feed; to feed a payment activation module configured to, when progress of the construction is completed and meets the standards, automatically the corresponding to enable payment via smart contracts; a blockchain evidence storage module configured to to store construction assessment data in the blockchain.
6. The system of claim 5, wherein the construction data collection module in it is particularly configured to: to acquire the construction data by means of sensors and / or cameras, whereby the construction data include in particular the following: stress data, current data, construction photo hash values, and a construction report, and the construction report in particular a contractor ID, a construction project ID and construction phase information includes.
7. The system of claim 5, wherein the AI quality analysis module in the is specially configured to: to use computer vision to perform AI analysis on the construction photographs to perform, check installation angles of photovoltaic panels, determine whether modules are damaged, contaminated or loose and to determine whether the construction data contain construction photos and whether the voltage data and current data comply to the required standards.
8. The system of claim 5, wherein the blockchain evidence storage module in the is specially configured to: the construction data, assessment records, payment records and a to store construction status in a blockchain.
9. Electronic device, comprising: a memory, a processor, and a computer program stored in memory and executable by the processor, in which the computer program, when executed by the processor, the steps of the method for automatic assessment of construction data based on smart contracts and AI according to one of the conclusions 1-4 implements.
10. Computer readable storage medium, comprising an implementation program for information broadcast is stored on the computer-readable storage medium, and where the program, if executed by a processor, performs the steps of the method for automatic assessment of construction data based on smart contracts and AI according to any of claims 14. 1 / 5 Fig.1