As intelligent manufacturing goes through the rapid expansion stage of "system construction", a more fundamental question begins to be repeatedly questioned:How to measure the value after investing so much？
Recently, around this core proposition, Sanwang Communication has joined forces with Machinery Industry
instrumentation and metersThe Institute of Integrated Technology and Economics (referred to as "Yizong Institute") held a special training on "Evaluation of Intelligent Factory Construction Efficiency and Implementation of Digital Transformation" at the Yizhuang Yizong Institute base for central enterprise systems. This is not only a practical training of skills, but also sends a clear signal——
Intelligent manufacturing has entered the second half with "efficiency" as the standardThe deep integration of TSN (Time Sensitive Network) and AI is becoming a key pathway to connect data and value.
01
A turning point is happening: the evaluation criteria for smart factories have changed
In the past few years, the core task of intelligent manufacturing has been to "build up": installing systems, connecting devices, and building architecture. If it can run, it is considered completed.
But today, the focus of the industry is undergoing a fundamental shift:It's not about how many systems are built, but whether these systems truly create quantifiable value.
In this training, keywords such as "effectiveness evaluation" and "gradient cultivation" were repeatedly emphasized, reflecting a clear signal that the evaluation logic of smart factories is shifting from "whether there is any" to "whether it is good or not, and whether it is worth it". Compare construction in the first half and efficiency in the second half. The starting point has changed.
02
Poor evaluation is not a problem with metrics, but rather a problem with real-time and synchronized data
After realizing the need to evaluate, I realized that evaluation is much more difficult than I had imagined. Three issues repeatedly arise:
There are many systems, and the value is unclearData is increasing, but efficiency improvement and cost reduction cannot be clearly quantified.
The data exists, but it is not trustworthyDifferent systems have different calibers and time synchronization, and the evaluation results are difficult to support real decisions.
The report is available, but it cannot be delivered to the groundThe evaluation conclusion lacks specific measures and cannot be transformed into an improvement path.
These three questions point to the same root cause:Poor performance evaluation is not fundamentally a problem with indicator design, but rather a lack of real-time and synchronization capabilities of underlying dataWhen AI algorithms attempt to mine value, even the most advanced models can only draw distorted conclusions if the input data has millisecond or microsecond level deviations in time. And TSN technology is the key to solving this pain point.
03
Neglected foundation: TSN provides AI with 'clean' and synchronized data
Industry discussions on intelligent manufacturing tend to focus on the "upper level" - how to design indicator systems and how AI can assist decision-making.
But a more fundamental issue has long been overlooked:Where does the data supporting AI and evaluation models come from? Is it reliable? Is it synchronized?
Reality often leads to unstable data collection on the device side, network transmission delays and packet loss, inconsistent time between multiple systems, and inability to form a unified view of data. The so-called 'efficiency evaluation' based on this is just a statistical analysis of incomplete data, and its conclusions are naturally unbelievable.
This is precisely why TSN (Time Sensitive Network) and high-precision time synchronization technology are being re examined. TSN can provide deterministic network connectivity for underlying devices, ensuring synchronous data acquisition and transmission with microsecond level accuracy. This means that when the data reaches the AI engine, it is already a 'clean', synchronized, and complete piece of information. AI no longer requires a lot of computing power to do the extra work of data cleaning and time alignment, but can directly focus on performance analysis and value mining, making evaluation work truly trustworthy.
04
True closed loop: TSN+AI makes evaluation results fall somewhere
This training emphasizes not only 'how to evaluate', but more importantly:How to convert evaluation results into real improvement capabilities.
The complete smart factory closed-loop should be:Evaluation → Identify Problems → Optimize Paths → Upgrade Construction → Continuous EvaluationHowever, in practical implementation, many companies are stuck in the middle:
Can evaluate, but don't know how to make changes
I know the problem, but I lack a lever for improvement
Having direction, but lacking technical path support
The crux of the matter lies in:There is no connection between the evaluation system and the underlying technical system.
The collaboration between TSN and AI is breaking this deadlock. TSN ensures high-precision and low jitter transmission of data, enabling real-time synchronization between the physical world and digital twins; AI, based on these high-quality data, completes millisecond level causal analysis, anomaly localization, and energy efficiency optimization, and outputs executable improvement strategies. Evaluation is no longer a report, but a driving force that can truly drive network configuration adjustments, production cycle optimization, and energy efficiency parameter improvements.
05
Sanwang Communication: Industrial Base Connecting "Data Generation" and "Value Fulfillment"
From 'construction' to 'evaluation', a new key role is emerging——The builder of industrial data base.
As an enterprise that has been deeply engaged in industrial communication and industrial Internet for a long time, Sanwang Communication continues to build the capacity of data base for industrial sites around industrial exchange and network connection, deterministic network (TSN/PTP), edge computing equipment, and cloud edge collaborative architecture.
These abilities do not directly define 'indicators', but determine:
Is the data authentic
Assess whether it is trustworthy
Is optimization executable
In the new stage of "computational efficiency", the network that provides time synchronization and the edge computing power that carries AI are becoming the fundamental variables that determine the success or failure of intelligent manufacturing.
The first half of intelligent manufacturing is to 'build the system'; In the second half, it will be about 'calculating the value clearly'.
The prerequisite for calculating value is that the data must be accurate, the network must be stable, and the feedback must be fast - this is the core scenario for the collaborative implementation of TSN and AI. Whoever can achieve a closed loop between deterministic networks and intelligent applications in industrial sites is more likely to take the initiative in the next stage.
In the future, Sanwang Communication will continue to focus on industrial sites, promote the closed-loop implementation of "evaluation optimization construction" capabilities, and explore high-quality development paths for intelligent manufacturing with industry partners.
Sanwang Communication (stock code: 688618) was founded in 2001 and is a national level specialized and innovative "little giant" enterprise listed on the Science and Technology Innovation Board. After more than 20 years of deep cultivation in industrial communication, the company has transformed from a single communication equipment manufacturer to a new industrial network and digital intelligent solution provider. With the mission of "making the network more reliable and the industry more intelligent", the company is committed to becoming an international leading provider of industrial Internet and intelligent solutions.
Focusing on TSN time sensitive network, edge computing, artificial intelligence and other core technologies, the company takes the lead in launching domestic TSN chips and a full range of deterministic network products to provide end-to-end solutions for smart energy, smart transportation, industrial interconnection, smart cities and other fields. At present, Sanwang Communication has served more than 30 countries and regions around the world, with a total of over 70 million online connected devices. With independent innovation, it supports the country's key equipment and helps upgrade the intelligence of thousands of industries.
