1. Project Overview

lima-TDM

LiMa TDM Experimental Data Management System (hereinafter referred to as TDM) is a comprehensive data management system developed based on .NET6 (Furion/EF Core), specifically designed for the power and electrical engineering industry. Through experimental workflows, it organically integrates personnel (testers), equipment (instruments), materials (samples and materials), methods (procedures, standards, and quality), and environment (conditions and communications) to standardize experimental business processes and ensure traceability.

2. Open Source License

Licensed under Apache-2.0

3. Screenshots

Main Project Screenshots:

4. Feature Overview

The system integrates data acquisition, storage, management, analysis, and visualization, comprehensively meeting the experimental data management needs of power and electrical testing instruments.

It provides end-to-end control over the entire process, from generating test plans and formulating test schedules to efficiently and flexibly assigning test tasks, tracking progress, and reviewing results, improving transparency and collaboration throughout the testing process.

It also covers various aspects, including establishing test instrument inventories, repair request management, and maintenance records, effectively improving the efficiency and standardization of testing operations. It can seamlessly integrate with other ERP, OA, MES, WMS, SRM, and other systems. Business and production data can also be consolidated through the data acquisition center and synchronized with the State Grid EIP platform, making it an essential component of enterprise-level business systems.

Project introduction

Main Features Include:

1. Experimental Data Acquisition:

1) Automatic Data Acquisition: The TDM system can connect to various testing instruments and automatically retrieve different types of data generated during testing.

2) Manual Data Entry: In addition to automatic data acquisition, manual data entry is also supported. For information that cannot be automatically obtained through instruments or requires supplementary explanations, users can manually enter data through the interface provided by the system.

3) File Import: Supports importing various data file formats, such as Excel, CSV, and TXT. When experimental data already exists in file form, users can easily import these files into the TDM system for centralized management.

2. Experimental Task Management

(1) Testing Center includes: Test Plans, Test Schedules, Test Tasks, and Nonconforming Product Handling.

(2) Digitizes and standardizes the experimental task workflow, providing end-to-end control from test plan generation and schedule formulation to efficient and flexible task assignment, progress tracking, and result review, improving transparency and collaboration throughout the testing process.

3. Testing Instrument Management

(1) Testing Instrument Management: Establishes an instrument inventory for centralized management, including instrument profiles, repair records, and instrument usage records.

(2) Provides a standardized instrument repair process with complete records and tracking throughout the repair workflow, ensuring instrument availability and operational condition while better supporting testing activities.

(3) By combining real-time data display, intelligent analysis, status prediction, and other technologies, it can further optimize resource allocation, reduce instrument failure rates and maintenance costs, and improve overall work efficiency and management capabilities.

4. Experimental Data Analysis and Processing

1) Provides powerful data analysis tools, including data visualization, statistical analysis, and trend prediction. It converts complex experimental data into intuitive charts and reports, helping staff quickly identify data patterns and potential issues.

2) Query historical analysis data.

5. Report Generation and Export

1) Generate test reports based on user-defined test report templates.

2) Test reports can automatically link to product data and experimental data.

3) Query historical test data and test reports for products.

5. Tech Stack

Installation Guide

1.sqlserver2019 2.redis 3.vue 4.C#Language .net Core

Frontend Usage Instructions

VUE：2.6.14 element-ui: 2.15.6 NODE：14.21.3 (>=8.9) NPM: >=3.0.0