The policy red line has been drawn! The laboratory lacks intelligent testing, and the digital transformation of enterprises is directly eliminated!-Chemical Instrument Network

summary

The national policy is promoting the construction of a quality control system for the entire life cycle of the manufacturing industry, emphasizing the development of intelligent quality detection, analysis, and traceability capabilities. This is essentially creating a "perception and decision-making" nervous system for the manufacturing industry. However, despite the rapid development of factory automation and digitization, the laboratory stage has become a gap in intelligence.

Policy signals

The country is restructuring the 'nervous system' of the manufacturing industry

At the end of 2024, the Ministry of Industry and Information Technology, the National Development and Reform Commission, and the Ministry of Finance jointly issued the "Implementation Guidelines for Digital Transformation of Manufacturing Enterprises".

The key words this time are not "AI" or "robot", but the easily overlooked phrase:

We need to establish a quality control system that runs through the entire product lifecycle, and develop intelligent quality detection, analysis, and traceability capabilities

This means that the country is not asking companies to "buy a few more devices", but rather giving Chinese manufacturing a "perception and decision-making" nervous system.

Without intelligent detection, intelligent manufacturing is just a slogan.

The reality of the industry

The intelligence of Chinese manufacturing is interrupted in the laboratory

In the past decade, the automation and digitization of factories have been soaring, but one aspect has been overlooked——

laboratory

Automation has long been a standard feature in the production process. But in the laboratory, there are still a lot of manual operations, repeated testing, and manual recording.

Manually preparing, titrating, and weighing hundreds of times a day, with uncontrollable manual errors;

The result records are scattered, difficult to trace, and the detection efficiency is low;

Data silos prevent real-time monitoring of quality status through management;

Rising labor costs and long-term security risks.

The laboratory has become a part of the intelligent manufacturing system

The last stage that has not yet been fully automated. Intelligent laboratory is a crucial step for enterprise quality system to move from "human control" to "numerical control"

root cause

The laboratory is treated as logistics, not as a brain

Enterprises would rather invest millions of dollars in equipment than upgrade their laboratories. Because most people are not aware of:

Laboratory data is not just a record, but a basis for decision-making.

There is hidden:

Stability of raw materials;
The boundary of craftsmanship;
Customer trust line.

But many laboratories are still in the stage of 'producing reports' and have not entered the era of' providing insights'.

The turning point of the times

Regulatory, customer, and algorithmic forces are driving corporate transformation

Regulatory requirements require 'traceability of testing data';
The customer requests that the laboratory system be able to interface;
AI algorithms require 'high-quality, trainable data'.

In the past, we relied on experience, but now we rely on data. In the past, we relied on production lines, but now we rely on systems.

The three forces are pushing together, and the laboratory has become the "last mile" of intelligent manufacturing.

Solution direction

First connect, then smart

The first step towards intelligence is not to buy software or equipment, but to transition from "human experimentation" to "machine experimentation", and from "data scattering" to "data-driven".

The idea of Hangzhou Zhongwang Technology is very typical:

The laboratory has overcome the four major pain points of human error, low efficiency, data silos, and security risks through automation systems, robotic arm collaboration, ZWLIMS information platform, and closed security design, promoting the comprehensive transformation of the laboratory from "human experimentation" and "data scattering" to "machine experimentation" and "data-driven".

A set of solutions to streamline the entire process of "procurement inspection management use"

Future competition

What we are fighting for is not production capacity, but the quality of data. The competition in the manufacturing industry is shifting from "machine efficiency" to "data quality".

Whoever can make data faster, more accurate, and more trustworthy will win customer trust, algorithm efficiency, and profit margins.
Laboratories are no longer just testers, they are becoming the 'data center' of enterprises. True intelligent manufacturing is not about robots moving, but about data flowing.

Intelligent laboratory is not a cost, it is an extension of productivity investment once, and the benefits are long-term.

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