An ai-based chemical installation measurement visa integration method and system

Abstract

The application belongs to the technical field of engineering construction management, and discloses a chemical installation measurement visa integrated method and system based on AI. The system contains an AI image recognition calculation engine, an AI voice semantic engine, an AI compliance verification engine, an AI claim analysis engine, a progress margin calculation engine and a team efficiency accounting engine, and is internally provided with a winning bid list library and a 2024 quota specification library, and is realized by using a WeChat applet and a cloud SaaS architecture. The application automatically calculates the quantity by taking photos on site, automatically generates a visa by voice, intelligently verifies compliance and analyzes claims, calculates the real-time progress margin, and automatically exports settlement data, effectively solves the industry pain points of difficult measurement, difficult visa, difficult settlement and poor compliance in chemical installation engineering, realizes the sinking of cost control to the construction front line, and enables construction personnel to distinguish between in-contract and out-of-contract work without professional cost knowledge, automatically determines the claimable construction period and cost, and truly connects the whole process of measurement, visa, claim, progress control, settlement and team efficiency analysis to realize intelligent closed-loop. The application is simple to operate, has high automation, is traceable in the whole process, and is suitable for intelligent management of various chemical installation and bill of quantities valuation installation engineering projects.

Description

Technical Field

[0001] This invention belongs to the field of engineering construction management technology, and specifically relates to an integrated method and system for AI-based measurement, verification, and settlement of chemical installation and various installation projects with bills of quantities. Background Technology

[0002] Current chemical installation projects commonly suffer from pain points such as construction workers' lack of understanding of quotas, omissions in quantity surveying, untimely visa processing, poor cost compliance, missing settlement data, and inaccurate progress control. Traditional software lacks on-site AI quantity calculation, voice visa processing, compliance verification, and real-time surplus calculation, failing to address the core issues of difficult measurement, visa processing, and settlement. It has not yet achieved cost control penetration to the front line of construction, making it difficult to truly establish a closed loop for the entire process of measurement, visa processing, and settlement. Cost information, contract boundaries, and list rules are not delivered to front-line construction workers, making it difficult for workers to distinguish between contractual and non-contractual workloads in real time, easily leading to visa omissions and lack of settlement evidence. Existing project management software and AI measurement technology are all single-function and fragmented designs, failing to form an integrated closed-loop system for measurement, visa processing, progress, settlement, and team efficiency. Furthermore, they have not implemented technical solutions to deliver quota standards, bid lists, and contract boundaries to front-line construction workers, failing to address the long-standing industry technical problems of visa omissions, unquantifiable efficiency, and opaque management at their source. These pain points are long-standing and difficult-to-solve technical problems in this field. Summary of the Invention

[0003] 3.1 System Composition The system includes: an AI image recognition quantity calculation engine, an AI voice semantic engine, an AI compliance verification engine, an AI claims analysis engine, a progress margin calculation engine, a winning bid list library, a 2024 quota specification library, a WeChat mini-program, a cloud-based SaaS backend, 13 database tables, and a team efficiency calculation engine. This invention is not a simple superposition and patchwork of existing AI image recognition, voice interaction, and engineering management software, but rather an overall architectural innovation and business process reconstruction specifically for the unique scenario of chemical installation engineering. The modules are interconnected, interdependent, and operate collaboratively, forming an inseparable and complete technical system. It is a holistic invention with outstanding substantive features and significant progress. 3.2 Technical Implementation Process Project initialization → AI construction recommendation → Photo recognition and quantity calculation → Compliance verification → Voice verification → Claims analysis → Surplus calculation → Data export → Team efficiency analysis and incentive push. 3.3 Beneficial Effects 1. Directly implement lists, contracts, and quota standards to frontline workers, and differentiate between work within and outside the contract in real time to prevent omissions in visa processing from the source. 2. A pioneering closed-loop system integrating AI-powered measurement and verification for chemical installation projects nationwide. Automatic analysis of newly added project quantities allows for claims for extensions or additional costs. 3. Workers do not need to know cost estimation or typing; they can learn in 1 minute. 4. Efficiency improved by over 80%, enabling settlement upon completion of the project. 5. Compliance verification prevents omissions, errors, and duplicates in calculations. 6. The entire process is traceable and auditable, meeting audit requirements. 7. Data-driven management: Automatically calculates team construction efficiency, quantifies performance, and provides objective data basis for developing incentive measures for projects, effectively improving overall construction enthusiasm and project progress speed. This invention achieves a deep integration of AI technology with engineering management scenarios, which is not a conventional combination of existing technologies. By combining the implementation of list contracts at the front line with automatic calculation of team efficiency, it produces an overall technical effect that cannot be achieved by a single technology, overcomes long-standing technical biases in the field, and solves long-standing industry technical problems. This system is tailored for the chemical installation engineering field, addressing practical industry issues such as untimely on-site measurement, non-standardized documentation, low settlement efficiency, and poor compliance. It differs significantly from existing general-purpose project management software. Simultaneously, it is applicable to all engineering projects using bill of quantities pricing, including chemical installation, construction, electromechanical, municipal, and equipment installation, possessing clear industry application scenarios and broad promotional value. Detailed Implementation 4.1 Project Deployment The system initialization was completed using a cloud-based SaaS + WeChat mini-program + database architecture. 4.2 Basic Data Configuration Import the winning bid bill of quantities, contract documents, and 2024 quota specifications, and create projects and construction teams. 4.3 On-site AI Measurement and Verification AI recommends construction items → Workers take photos on site → AI automatically identifies and calculates quantities → AI complies with regulations → Voice generates visa forms → AI automatically determines claims and construction period → Generates visa documents. 4.4 Schedule and Margin Management It calculates completed and remaining quantities in real time, automatically issues risk warnings, and automatically exports settlement data. 4.5 Team Efficiency Calculation and Incentives The system backend automatically calculates the completed output value, man-days invested, and per capita efficiency of each work team, generating an efficiency ranking list. It automatically pushes incentives to high-performing teams and automatically analyzes the causes and issues warnings to low-performing teams. This invention achieves full-process intelligentization of chemical installation engineering through its overall system architecture. The various AI engines, data modules, mini-program terminals, and management backends are tightly coupled, and it is not a simple aggregation of functions. The overall technical solution is not obvious to those skilled in the art, and thus possesses novelty and inventiveness in the sense of patent law. Attached Figure Description Figure 1 System Overall Architecture Diagram. This diagram shows the overall system architecture, divided from top to bottom into: User Layer (Worker Mini Program, Project Manager Backend), Application Service Layer (AI Measurement, AI Visa, Progress Management, Compliance Verification), AI Engine Layer (Image Recognition, Speech and Semantics, Rule Engine, Claim Analysis, Progress Margin Calculation, Team Efficiency Calculation), Data Layer (Winning Bid List Library, 2024 Quota Specification Library, Business Database), and Infrastructure Layer (Cloud Servers, Storage, Network). Data exchange and business collaboration between these layers are achieved through interfaces. Figure 2 AI-powered measurement and visa processing workflow diagram. Process steps: Project initialization → Import of winning bid quantity list and specifications → AI-powered intelligent construction recommendation → Worker on-site photography → AI image recognition quantity calculation → AI compliance verification → Voice-generated visa → AI-powered claims and schedule assessment → Visa review → Automatic calculation of progress margin → Risk warning → Automatic export of settlement data, forming a fully automated closed loop. Figure 3 The worker-side mini-program interface is shown in the image. The interface features a minimalist design with four core buttons: AI Today's Construction, AI Photo Measurement, AI One-Click Approval, and My Progress. The bottom of the interface displays real-time project quantities, approved quantities, remaining quantities, and warning information. It supports one-click generation of watermarks via photo, voice, and location, requiring no typing or cost estimation knowledge to operate. Figure 4 Management backend functional module diagram. The backend includes ten modules: Project Management, Team Management, Bid Winning List Management, AI Measurement and Audit, Visa Approval, Progress Monitoring, Claim Management, Risk Warning, Settlement Reports, and System Settings. It supports data visualization, batch export, multi-level auditing, and audit trail recording.

Claims

1. An AI-based integrated system for chemical installation metering and verification, characterized in that, include: The system comprises an AI image recognition quantity calculation engine, an AI voice semantic engine, an AI compliance verification engine, an AI claims analysis engine, a schedule margin calculation engine, a construction team efficiency calculation engine, a winning bid list database, a 2024 quota specification library, a WeChat mini-program, a cloud-based SaaS management backend, and structured business database tables. The system can distribute winning bid lists, contract boundaries, and pricing specifications to frontline workers' WeChat mini-programs, automatically identifying and distinguishing between contractually included and contractually changed work quantities.

2. The system according to claim 1, characterized in that: The system automatically identifies chemical installation components by taking photos on-site and calculates the amount of work done. The photos are automatically generated with time, location, and work team watermark.

3. The system according to claim 1, characterized in that: Voice input automatically generates standard visa forms, and automatically determines whether they belong to additional costs outside the contract based on contract boundary rules and quota specifications, and automatically determines the cost calculation and extension of the construction period.

4. The system according to claim 1, characterized in that: The system calculates the remaining work volume by subtracting the completed work volume from the total bid volume in real time and provides AI risk warnings. At the same time, based on the unit price of the completed work volume, the number of workers in each team, and the number of construction days, the system automatically calculates the construction efficiency of each team and generates efficiency rankings and incentive suggestions.

5. A method for implementing AI-based metering and verification in chemical installation, characterized in that, The process includes the following steps: Project initialization → AI-powered intelligent construction recommendation → On-site photo recognition and quantity calculation → AI compliance verification → Voice visa generation → AI claims analysis → Schedule margin calculation → Automatic export of settlement data → Team efficiency analysis and incentive push.

6. The method according to claim 5, characterized in that: No manual calculation of quotas or manual data entry is required; the entire process is automated by AI.

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