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CPS(Cyber-Physiacl System)虛實整合系統又稱人機物融合系統，就是網路世界與實體世界完美融合後的系統化世界，其優點可以是零距離、去中心化與分散式的，其為智慧製造的根本核心，智慧製造價值在於溝通，即為產線間、設備間與機器間(M2M machine-to-machine)的溝通，數位轉型就是為智慧製作所進行的系統化改革，在工具面上的資訊科技IT(Information Technology)與營運技術OT(Operation Technology)、分析面上的資料科技(Data Technology)，三者結合發展出人工智慧結合物聯網的智慧製造，同時關注五大層面即企業組織與文化、人才與能力、科技與工具、數據管理與策略與執行，而AIC物聯雲可以為工廠端啟動數位轉型進入智慧製造的階段，僅以AIC的軟體方案導入廠端即能成為真正意義上的工業4.0。
智慧製造在淨零碳排的實現上也能加速落實，廠端管理者能精確掌控能耗狀況，評估後續改善的方向。透過可視化介面(SD2)與企業戰情室(Video Wall)協助廠端管理階層人員實時掌控生產狀況並隨時進行遠端調度與決策應變。 AIC軟體工具就是能協助工廠由3.0自動化進階到4.0智動化的數位轉型。
智慧工廠與智慧供應鍵為傳統原料物業較少關注的領域，因導入智慧工廠除需投入大量硬體資源外，傳統的企業文化如何引入數位轉型思維，對於第一線的生產人員也是重大課題，AIC提供的軟體解決方案可以讓傳統生產的業者以最便捷的方式導入智動化的技術，透過設備聯網以養成實時數據導入大數據資料庫中，改善生產效能、提高良率，並偵測感知所有可能影響生產效能的狀況，實際的監控事項有產物料進出料與生產率轉換的關係、實際生產數量、環境溫度與濕度、生產工具溫度與濕度、射出速度等參數，進一步可以成為生產履歷，讓生產品質更具一致性，落實預警機制的智慧工廠之發展。
由上述一系列的作業中更可以讓淨零碳排的實現直接導入生產工作成，減少碳足跡，提高原物料生產效率，延長產品生命週期與讓員工從事智慧生產與物聯技術運用，發展出循環經濟。
製材業相較於其他生產產業對於木材本身的品質要求度更高，從材質的屬性與用途、可靠性、使用經驗、價格與可獲得性等方面，都決定了製材業的高成本化結構，所以更需要進行數位轉型與智動化的生產決策，AIC所提供的物聯網軟體工具能從四大面向實時管理生產的效能、提高材料的運用率、降低生產浪費，從原木領取、裁切、木材乾燥、鉋光、施工與拼板等，皆可運用OpaUa與SD2兩套軟體工具，產生產線即時資訊系統、材料管理、生產預測模型、機聯網、小批量製造、生產數位收集、即時品質控制、零缺陷製造、遠端維護、設備預防性維護、原料與產品追蹤等。
以實現全供應鏈可視化與數據化管理、並將數據資產化形成生態系。
For metal fastener manufacturing process, AIC software can detect and track the whole process of mold design, molding simulation design, tapping and thread rolling, etc. It can be used to improve and enhance the production efficiency, and establish a visual war room to solve the dilemma of high reliance on manual labor and lack of real-time production information, and establish a factory's metal production information monitoring equipment and process networking can be shared with customers to improve reliability.
The metal fabrication plant has a large number of complex parts that are difficult to manage. Each workstation, from the molding process, the machining process, the surface treatment process to the testing and packaging process, requires sophisticated system management and intelligent sensor technology, warning functions and visualized war room information, AIC(AIoT Cloud) provides three software solutions from Opc UA, IoT Studio and VideoWall to solve single station intelligence, production line digitization, artificial intelligence (AI) process technology, digital production line to improve management efficiency and digital human-machine interface (HMI) monitoring of the entire site at once. It can be used for precision manufacturing linkage/measurement, process/module intelligence monitoring, process component adaptation control and intelligent decision making data pre-diagnosis.
From material scheduling, production equipment, energy consumption management, waste monitoring, inventory management, etc., AIC's IoT software tools can be used to detect the quality of materials in real time through the human-machine interface (HMI), from the extraction of petrochemical raw materials, the use of artificial fiber products and natural fiber products, to spinning, weaving, dyeing and finishing, and finished garments, all of which can be accurately analyzed by artificial intelligence with IoT sensing to improve the overall production, improve the yield and reduce ineffective waste of materials.
The intelligent textile factory formed by the weaving network can detect the real-time usage of the machine in various directions, from warp and weft yarn thickness, temperature sensing, sizing density, viscosity, sizing rate and rewetting rate, etc., which can be optimized more delicately and the color used in the dyeing and finishing process can be more accurate.
Smart logistics is the closed logistics nodes to track and control, from procurement, transportation, packaging, delivery, and loading and unloading in a data-based manner for management, enhanced sensing functions for transportation, packaging, moving and distribution processing, aggregation functions to achieve data centralization (cloud-based) and decentralization (edge computing) management, intelligent analysis can incorporate factual experience into the system experience, and then find new Optimized decision making can be combined with specific objectives for predictive analysis, collaborate with decision making to find the most appropriate solution, and finally, the actual performance of the overall system support function allows logistics and warehousing to operate as a whole, realizing from automation to intelligent, visual management and artificially intelligent decision making to achieve remote monitoring.
Compared with other production industries, the timber industry requires a higher quality of wood itself. The high cost structure of the timber industry is determined by the properties and uses of the material, reliability, experience, price and availability, etc., so it is more necessary to make digital transformation and intelligent production decisions, AIC provides IoT software tools to manage production efficiency, improve material utilization, and reduce production waste in four major areas: log pickup, cutting, lumber drying, planing, construction, and paneling, etc. Both OpaUa and IoT Studio software tools can be used to generate real-time production line information systems, material management, production forecast models, machine networking, small batch manufacturing, production digital collection, real-time quality control, zero-defect manufacturing, remote maintenance, equipment preventive maintenance, raw material and product tracking, etc.
In order to realize the visualization and data management of the whole supply chain, and to form an ecosystem with data assets.
Water4.0 is a concept of water industry intelligence proposed by American scholar David Sedlak, which includes water resource management, tap water, process water, desalination, recycled water and waste water. AIC's Internet of Things (IoT) software services can be used to improve overall water resource utilization, including energy saving and water recycling projects, operation process optimization, intelligent tracking of equipment status, water quality monitoring, artificial intelligence (AI) water quality prediction, pollution traceability, equipment self-diagnosis and depreciation reduction, and pipeline leak detection.
Smart factory and smart supply key are areas that traditional raw material properties pay less attention to, because in addition to investing a lot of hardware resources, how to introduce digital transformation thinking into the traditional corporate culture is also a major issue for front-line production staff. The actual monitoring items include the relationship between incoming and outgoing materials and production rate conversion, actual production quantity, ambient temperature and humidity, production tool temperature and humidity, injection speed and other parameters, which can further become the production history to make the production quality more consistent and implement the development of smart factory with early warning mechanism. From the above-mentioned series of operations, the realization of net zero carbon emissions can be directly introduced into the production process, reducing carbon footprints, improving raw material production efficiency, extending product life cycles and allowing employees to engage in smart production and the use of IoT technology to develop a circular economy.
In the era of Industry 4.0, the semiconductor industry, electronic components industry, optoelectronics industry, computer peripheral industry, information and communication industry and electronic channel industry are facing the challenge of digital transformation. The core goal of digital transformation lies in the application of technology and tools, talent development, organizational reengineering, digital management and data application. AIC's(AIoT Cloud) software tools can be applied to various production activities to strengthen the communication between production lines, equipment and machines (M2M machine-to-machine), to monitor the activities of production lines in real time, to improve production efficiency, to obtain excellent production quality, to reduce defective rate, and to improve the application of intelligence.
In the era of Industry 4.0 intelligence, AIC software services are applied to processing procedures, such as chemical, wastewater treatment and oil refining industries, with emphasis on the interconnection of machines and equipment, machine learning and real-time data mastering to improve the performance of processing procedures. AIC software services are used in the chemical, wastewater and oil refining industries to improve process performance by focusing on machine equipment interconnection, machine learning and real-time data acquisition, and to optimize, monitor and adjust production methods on a real-time basis.
Tooling machine is the mother of machinery, as the indispensable key production tools in the manufacturing industry, enterprises want to improve production efficiency need to introduce mechanical automation systems, from NC machine tools, CNC lathes, laser cutting machines, metal cutting tools, woodworking tools, precision tooling machines, AIC AIoT Cloud can be introduced into the automation to intelligent digital transformation, through the introduction of Internet of Things technology, effective production efficiency, quality, yield greatly improved.
From automation to intelligent digital transformation services, AIC provides complete industrial Internet of Things software solutions with 5G network fast connectivity, artificial intelligence (AI)/machine learning, sensors, visualized multi-screen war room and big data analysis sources for digital monitoring, alerting and learning with customizable industrial big data. By combining complex systems from OT (Operation Technology) with IT (Information Technology), we can effectively improve the crop rate, production efficiency and yield of factories.
CPS(Cyber-Physiacl System), also known as the fusion system of human-machine and material, is a systematic world after the perfect fusion of the network world and the physical world, whose advantages can be zero distance, decentralized and decentralized, and is the fundamental core of intelligent manufacturing, the value of smart manufacturing is communication, that is, communication between production lines, equipment and machines (M2M machine-to-machine), digital transformation is the system reform for smart manufacturing. AIC (AIoT Cloud) can initiate digital transformation into the stage of smart manufacturing for factories. The AIC(AIoT Cloud) can initiate the digital transformation of the factory side into the stage of smart manufacturing, which can become the real sense of Industry 4.0 by only using AIC's software solution to the factory side.
Smart manufacturing also accelerates the implementation of net-zero carbon emissions, enabling plant managers to precisely control energy consumption and assess the direction of subsequent improvements. Through the visual interface (IoT Studio) and the corporate war room (Video Wall), plant management can control the production status in real time and make remote scheduling and decision response at any time.
AIC software tools are able to assist factories in the digital transformation from 3.0 automation to 4.0 intelligence.
AIC provides IoT software solutions to meet the above requirements to achieve data collection, module visualization, prediction analysis, specification analysis, and actual operation node analysis, in order to implement the process of factory wisdom and intellectualization.
As automobiles are high-cost, high-volume and high-depreciation products, the pursuit of a zero-inventory order production model has always been a wise craft for automotive brands to implement thoroughly. Virtual Manufacturing Technology (VMT) simulates the production process of real-life manufacturing and design processes through information technology, 3D spatial simulation technology, and high-speed computing technology. AIC(AIoT Cloud) provides Opc UA, IoT Studio and Video Wall as IoT software solutions, which can be integrated into a smart factory production method with existing factory equipment. AIC(AIoT Cloud) provides Opc UA, IoT Studio and Video Wall as IoT software solutions, which can be integrated into the smart factory production method under the existing factory equipment, and actually achieve the in-plant M2M networking architecture.
The petrochemical industry is a major source of air pollution and a key industry of concern for net zero carbon emissions. It can be digitally transformed at four levels to reach the height of a smart factory, namely energy transformation, process transformation, technology transformation and material transformation to track carbon footprints and complete net zero carbon emissions. AIC's (AIoT Cloud) IoT software tools Opc UA, IoT Studio and Video Wall can be directly deployed in the existing hardware to achieve the goal of the Internet of Things, which can achieve the raw material tracking, production tracking and distribution tracking with minimal cost. We provide a free version of the software and professional staff can be introduced into the factory for practical testing before switching to the high-end version.
Food safety, product traceability, raw material history and product shelf life are the most important items for food factories to develop into smart factories. Food-related products including dairy products, oil and grease products, edible ice products, vegetables and fruits, confectionery and desserts, cereal-related products, baked goods, meat-related products, aquatic products, egg products, sugar products, condiments, special nutritional products, beverages, processed snack products and There is a wide range of nutritional supplements. Using AIC IoT Cloud's IoT software tools OpcUA, IoT Studio and Video Wall, food safety traceability, food product quality monitoring, abnormality warning, production efficiency improvement and product production turnover control can be realized from automation to the stage of intelligence.
汽車為高成本、大材積與高折舊的產品，追求零庫存的訂單生產模式一直是汽車品牌商能徹底落實的一門智慧工藝，虛擬製造技術(Virtual Manufacturing Technology，VMT)透過資訊技術、3D空間仿真技術、高速運算技術放入現實生產中的加工製造和設計工藝的生產過程作全面的模擬，並結合物聯網技術來進行預測性生產、生產執行追蹤、工作品質監督、作業安全警示和設備安全控制等，實現多品項、小量化與高週轉率的生產效能。AIC物聯雲提供的OpcUa、SD2與Video Wall為物聯網軟體解決方案，能在即有的工廠設備下導入智慧工廠的生產方式，實際達成廠內M2M的機聯網架構。
石化工業較會產生空氣污染源，也是淨零碳排所關注的重點產業，可以由四個高度層次進行數位轉型達到智慧工廠的高度，分別為能源轉型、製程轉型、技術轉型與進料轉型追蹤碳足跡進行碳中和完成淨零碳排，其中碳足跡的每一個生產到銷售的流程都需經由RFID射頻進行碳足跡的管理，再進行生產、配送、使用與回收的四階段去計算碳排量，從中進行碳中和工程，AIC物聯雲的物聯網軟體工具OpcUa、SD2與Video Wall即能直接佈署於現有的硬體中，實現機聯網的目標，多元實現原物料追蹤、生產追蹤與配銷追蹤，可以用最小的成本達到物聯網的縱效，我們提供免費版軟體與專業人員可在轉完高階版本前先導入廠內實作測試。
石化工业较会产生空气污染源，也是净零碳排所关注的重点产业，可以由四个高度层次进行数位转型达到智能工厂的高度，分别为能源转型、制程转型、技术转型与进料转型追踪碳足迹进行碳中和完成净零碳排，其中碳足迹的每一个生产到销售的流程都需经由RFID射频进行碳足迹的管理，再进行生产、配送、使用与回收的四阶段去计算碳排量，从中进行碳中和工程，AIC物联云的物联网软体工具OpcUa、IoT Studio与Video Wall即能直接布署于现有的硬体中，实现机联网的目标，多元实现原物料追踪、生产追踪与配销追踪，可以用最小的成本达到物联网的纵效，我们提供免费版软体与专业人员可在转完高阶版本前先导入厂内实作测试。
汽车为高成本、大材积与高折旧的产品，追求零库存的订单生产模式一直是汽车品牌商能彻底落实的一门智能工艺，虚拟制造技术(Virtual Manufacturing Technology，VMT)透过资讯技术、3D空间仿真技术、高速运算技术放入现实生产中的加工制造和设计工艺的生产过程作全面的模拟，并结合物联网技术来进行预测性生产、生产执行追踪、工作品质监督、作业安全警示和设备安全控制等，实现多品项、小量化与高周转率的生产效能。AIC物联云提供的OpcUa、IoT Studio与Video Wall为物联网软体解决方案，能在即有的工厂设备下导入智能工厂的生产方式，实际达成厂内M2M的机联网架构。
制材业相较于其他生产产业对于木材本身的品质要求度更高，从材质的属性与用途、可靠性、使用经验、价格与可获得性等方面，都决定了制材业的高成本化结构，所以更需要进行数位转型与智动化的生产决策，AIC所提供的物联网软体工具能从四大面向实时管理生产的效能、提高材料的运用率、降低生产浪费，从原木领取、裁切、木材干燥、刨光、施工与拼板等，皆可运用OpaUa与IoT Studio两套软体工具，产生产线即时资讯系统、材料管理、生产预测模型、机联网、小批量制造、生产数位收集、即时品质控制、零缺陷制造、远端维护、设备预防性维护、原料与产品追踪等。
以实现全供应链可视化与数据化管理、并将数据资产化形成生态系。
智能工厂与智能供应键为传统原料物业较少关注的领域，因导入智能工厂除需投入大量硬体资源外，传统的企业文化如何引入数位转型思维，对于第一线的生产人员也是重大课题，AIC提供的软体解决方案可以让传统生产的业者以最便捷的方式导入智动化的技术，透过设备联网以养成实时数据导入大数据资料库中，改善生产效能、提高良率，并侦测感知所有可能影响生产效能的状况，实际的监控事项有产物料进出料与生产率转换的关系、实际生产数量、环境温度与湿度、生产工具温度与湿度、射出速度等参数，进一步可以成为生产履历，让生产品质更具一致性，落实预警机制的智能工厂之发展。
由上述一系列的作业中更可以让净零碳排的实现直接导入生产工作成，减少碳足迹，提高原物料生产效率，延长产品生命周期与让员工从事智能生产与物联技术运用，发展出循环经济。
数位转型与智能制造解决：CPS(Cyber-Physiacl System)虚实整合系统又称人机物融合系统，就是网路世界与实体世界完美融合后的系统化世界，其优点可以是零距离、去中心化与分散式的，其为智能制造的根本核心，智能制造价值在于沟通，即为产线间、设备间与机器间(M2M machine-to-machine)的沟通，数位转型就是为智能制作所进行的系统化改革，在工具面上的资讯科技IT(Information Technology)与营运技术OT(Operation Technology)、分析面上的资料科技(Data Technology)，三者结合发展出人工智能结合物联网的智能制造，同时关注五大层面即企业组织与文化、人才与能力、科技与工具、数据管理与策略与执行，而AIC物联云可以为工厂端启动数位转型进入智能制造的阶段，仅以AIC的软体方案导入厂端即能成为真正意义上的工业4.0。
智能制造在净零碳排的实现上也能加速落实，厂端管理者能精确掌控能耗状况，评估后续改善的方向。透过可视化介面(SD2)与企业战情室(Video Wall)协助厂端管理阶层人员实时掌控生产状况并随时进行远端调度与决策应变。
AIC软体工具就是能协助工厂由3.0自动化进阶到4.0智动化的数位转型。