Razlika između tradicionalnih odvijača i pametnih odvijača (2)

​Traditional Screwdrivers And Smart Screwdrivers differ in many aspects, as follows:

In terms of quality control and traceability

1. Traditional screwdriver: Quality control mainly relies on workers' self-inspection and random inspection, and it is difficult to monitor the tightening process of each screw comprehensively and accurately. Moreover, the tightening data cannot be recorded and saved in real time. Once a quality problem occurs, it is difficult to trace and troubleshoot, which is not conducive to the analysis and resolution of quality problems.

2. Smart screwdriver: It has powerful data acquisition and storage functions, and can record the tightening parameters of each screw in real time, such as torque value, tightening time, angle, etc. These data can be uploaded to the cloud or local database for easy quality traceability and analysis. If there is a quality abnormality, the system can alarm and prompt relevant information in time, which helps to quickly locate and solve the problem.

In terms of applicable scenarios

1. Traditional screwdriver: It is suitable for some scenarios with low requirements for tightening accuracy, small workload or limited operating space, such as maintenance of small equipment, home decoration, etc.

2. Smart screwdriver: It is widely used in industries with high requirements for tightening quality and efficiency, such as automobile manufacturing, electronic equipment production, aerospace and other large-scale production and high-precision assembly fields.

In terms of cost investment

1. Traditional screwdriver: The tool cost is low, but due to the high labor cost and relatively low production efficiency, the overall cost may not be low in large-scale production. In addition, if product quality problems are caused by manual operation errors, additional rework costs will be added.

2. Smart screwdriver: The purchase cost of smart tightening equipment is high, and it also requires certain technical support and maintenance costs. But in the long run, because it can improve production efficiency and reduce quality risks, it can reduce overall costs in large-scale production and high-precision assembly scenarios.