Application

In the rapidly developing fields such as new energy vehicles and high-end chips, there is a key material called silicon carbide (SiC), hailed as the "diamond of the semiconductor industry". With its excellent performance, it has become one of the cores of industrial upgrading. However, precisely and efficiently cutting this hard "diamond" into thin slices or precision devices is a world-class challenge. A technology enterprise focusing on the R&D of third-generation semiconductor material processing equipment is facing such a dilemma. Sinsegye’s involvement has brought it a brand-new solution — instead of manufacturing a new cutting machine, we equipped it with a set of independently controllable "smart brain", thus driving the equipment to achieve a qualitative leap.

Amid the wave of intelligent transformation in manufacturing, many enterprises are caught in a dilemma between "upgrading" and "cost control" — and this was exactly the case for Sinsegye’s latest client. The nut-sleeving and bending all-in-one machine on their production line, like a "veteran with distinguished service", boasted stable performance yet was somewhat "rigid". Its original closed control system struggled to meet modern demands such as adding robots and integrating visual inspection, becoming an "invisible ceiling" that hindered efficiency improvement. To address this challenge, Sinsegye did not resort to "large-scale demolition and modification" of the equipment. Instead, it implanted a "smart brain" — an integrated Control, Computation, and Vision solution based on the SP7022 iComputer. This solution not only resolved the integration difficulties between robot integration and visual inspection but also opened the door for the client to move towards a future smart factory. It stands as a successful practice of breaking "closure" with "openness" and reducing "complexity" through "integration".

With the widespread application of silicon carbide (SiC) devices in high-end fields such as new energy vehicles, photovoltaic power, and rail transit, the market demand for large-size silicon carbide wafers of 8 inches and above is becoming increasingly urgent. However, traditional diamond wire cutting processes face issues such as low efficiency, high costs, and difficult precision control when dealing with large-size, high-hardness wafers, which severely restrict capacity release and yield improvement.

As a core pillar of the new energy sector, the lithium battery industry has witnessed explosive growth in demand for electric vehicles and energy storage in recent years, posing higher requirements for production efficiency and automation levels. The cycle accuracy and stability of logistics connection links directly affect overall production capacity. Traditional conveying systems suffer from pain points such as low positioning accuracy, slow cycle times, and poor flexibility, making it difficult to meet the high-standard requirements of lithium battery production.

How to achieve accurate collection and intelligent analysis of key data throughout the entire process without affecting the existing production system when traditional washing production faces challenges such as data dispersion, difficult control of quantity and quality balance, and decision dependence on experience? Sinsegye has provided the answer - by deploying artificial intelligence machines to directly collect instrument data from the source, real-time processing and local storage are completed at the edge, and ultimately a four level data link of "mining end - artificial intelligence machine - secondary company - group" is built, laying a solid digital foundation for the digital balance and efficient management of washing production.

In the field of semiconductor manufacturing, the precision and reliability of wafer transfer are directly related to chip yield and production efficiency. To meet customers' stringent requirements for the motion trajectory and position accuracy of manipulators, Sinsegye has designed an Integrated Control and Computation solution centered on the SP7020 iComputer, solving the problem of high-precision wafer picking and placing in the semiconductor industry.

In high-risk industries such as petroleum, chemical engineering, and gas, the leakage and accumulation of hazardous gases pose a serious threat to safe production. Traditional Gas Detection and Alarm Systems (GDS) are mostly limited to post-event alarms, lacking predictive capabilities and linkage control functions. They can hardly meet the needs of modern industry for automated and intelligent safety management. Against this background, Sinsegye has launched the GasSafe Intelligent Monitoring System Solution for Hazardous Gases (GasSafe System), filling the gap in the market for integrated intelligent gas monitoring in the field of "perception - early warning - control".

On a high-speed cigarette production line, approximately 18,000 cigarettes per minute need to undergo packaging, inspection, and sorting. At such high speeds, production enterprises have long been troubled by a key problem: when there is an abnormality in packaging, the rejection mechanism will also remove the normal cigarettes before and after the defective products, resulting in a large number of intact products being incorrectly discarded. To avoid the waste of these normal cigarettes, on-site operators must reinsert them into the production line. This reinsertion operation under high-speed production conditions is not only difficult to perform but also significantly increases labor costs and the risk of errors. Recently, Sinsegye has designed an automated transformation solution to address this pain point in the cigarette packaging production line. The solution increases the production line transmission speed from 1.5m/s to 2m/s, and while improving performance, it reduces the overall solution cost by 50%.

With the continuous expansion of the Hong Kong subway network, the demand for testing and maintenance of subway spring components has significantly increased. 

With the acceleration of China's agricultural modernization, the grain storage and logistics industry is facing an urgent need for transformation and upgrading. Traditional wheat warehouse-out handling mainly relies on manual operations, which has problems such as low efficiency, high labor intensity, and multiple safety hazards. Sinsegye's solution realizes the intelligent upgrading of the wheat handling process through automation technology, significantly improving operational efficiency, reducing labor costs and risks, and providing a reliable automated handling solution for the grain storage industry.