Power Tool Data Evaluation for Tradesperson Quality Metrics
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Solution Overview
Problem
Current solutions for evaluating tradespeople's expertise and reliability in construction projects are inadequate, as existing portals and job markets lack credible and accurate information, making it difficult for customers to assess tradespeople's quality and pricing.
Innovation Solution
A method that collects data from power tools and users, using an evaluation function to generate key figures that quantify and objectively measure a user's quality of activity, which can be displayed transparently to users and customers, enhancing evaluation transparency and credibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional portals and job markets are used to evaluate tradespeople, then information availability is improved, but information credibility and accuracy deteriorate
Solution Approach 1:
The system implements automated feedback loops where power tools continuously transmit operational data (usage duration, project completion, performance metrics) to a central evaluation system. This real-time feedback mechanism replaces manual self-reporting with objective, verifiable data collection, thereby improving information credibility while maintaining comprehensive availability.
Solution Approach 2:
The patent replaces the mechanical system of manual evaluation (portals, adverts, telephone calls) with an automated digital evaluation system. Data is automatically collected from smart power tools, processed through evaluation functions, and transmitted to stakeholders, eliminating the need for manual information gathering and verification while enhancing both availability and credibility.
2Device complexity
If manual evaluation methods are used to assess tradespeople quality, then evaluation complexity is reduced, but evaluation precision and objectivity deteriorate
Solution Approach 1:
The system substitutes manual evaluation processes with automated computational evaluation functions. These functions objectively process raw data from power tools (usage duration, project completion status, performance metrics) to generate standardized key figures, thereby improving measurement precision while managing complexity through algorithmic standardization.
Solution Approach 2:
The patent transforms qualitative assessment parameters into quantitative key figures through defined evaluation functions. By converting subjective quality assessments into objective numerical metrics (e.g., expertise level, reliability score, efficiency rating), the system enhances measurement precision while maintaining manageable complexity through standardized parameter transformations.
3Measurement precision
If comprehensive data collection from power tools is implemented, then evaluation accuracy is improved, but data processing complexity and time requirements worsen
Solution Approach 1:
The system performs preliminary data processing and filtering at the source (power tools and mobile devices) before data reaches the central evaluation system. Evaluation functions are pre-configured to process specific data types, and key figures are calculated incrementally as data arrives, reducing the time burden on centralized processing while maintaining high evaluation accuracy.
Solution Approach 2:
The patent segments the data processing workflow into distributed components: data collection at power tools, preliminary processing at mobile devices, and final evaluation at the central system. This segmentation allows parallel processing of different data streams, reducing overall processing time while maintaining comprehensive data analysis for accurate evaluations.
Data Source
AI summary
A method for providing key figures to a user of at least one power tool, includes collecting data values relating to the at least one power tool and/or relating to the user of the at least one power tool, wherein the data values are at least partially associated with an activity of the user with the at least one power tool. The method further includes ascertaining at least one key figure for the user on the basis of the collected data values and an evaluation function, the key figure is being specific to the quality of the user's activities with the at least one power tool, and outputting the at least one of the ascertained key figures for the user.