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【2021 Application Example】 Factory Helper Chatbot Reduces Machine Downtime to One Day

Jinfeng Machinery Industry, the fourth largest punch press manufacturer globally, has developed an app that connects with LINE, WeChat, and IM emergency communication software. Regardless of the number of machines, integrated through a single platform, the production and equipment status can be monitored in real time via mobile phones and tablets.

Established nearly seventy years ago, Jinfeng Machinery is one of the unsung heroes behind Taiwan's early 'living room as factories' approach, with household subcontracting tasks such as spoon and button metal pressing handled by Jinfeng's machines. With the advent of Industry 4.0 technologies, this 'hidden company' based under Bagua Mountain in Changhua had to adopt AI robots to swiftly address malfunctions and reduce wait times.

Real-time monitoring AI robots have become essential assistants on the factory line

GM of Jinfeng Machinery Industry, Tseng Sheng-ming famously said: 'Always consider the next step for our customers.' With an annual revenue of over 7.5 billion New Taiwan Dollars, a single day of factory downtime equates to a loss of over 20 million dollars. At the forefront of Industry 4.0, Jinfeng uses various sensors to remotely monitor the operational status of machines and record data. Through network-connected gateways that integrate peripheral equipment, monitoring data is transmitted to databases to quickly detect and reduce the risk of downtime. Cloud-based, 24/7, 365-day repair registration and constant monitoring are aimed at achieving the goal of an unmanned factory.

金豐機器工業總經理曾盛明的名言是:「永遠為客戶設想下一步」,年營業額逾新台幣75 億元的金豐,工廠停工一天等於損失2,000 多萬元,走在工業 4.0 的浪頭上,金豐透過各式感測器遠程掌握機台運作狀態並記錄數據,運用網路連接閘道器整合周邊設備,將監測數據傳送至數據庫,快速檢知降低停機風險,雲端線上全年365 天、每天24 小時報修等隨時監控,以實現無人化工廠的目標。

To speed up the resolution of machine malfunctions, Jinfeng Machinery Industry introduced a customer service chatbot developed by Asia-Pacific Smart Machine Company, featuring multi-round dialogue capabilities. Combined with a knowledge graph in the punching field, operators simply need to inquire through the proxy robot to quickly obtain troubleshooting solutions and repair quotes, eliminating the need to wait for Jinfeng technicians to handle issues on-site. This approach has reduced downtime to within one day, cutting the time spent on factory malfunction resolutions by up to 50%.

Accelerated security screening processes can significantly save up to 30% of manpower

By applying AI technology for machine understanding, Asia-Pacific Smart Machine facilitates immediate and accurate problem classification through inquiries by customers and front-line staff. Online responses to operational issues and needs are synchronized, scheduling repair personnel and materials to quickly resolve faults and effectively reduce downtime losses. In the field of tool machines, Open Talk can integrate with Industry 4.0 tool machines for machine control and real-time data queries. Engineers no longer need to use smartphones or tablets; they can simply use voice commands to control machines and make inquiries through installed speakers or robots, promptly notifying maintenance when issues arise, keeping repair time within one day. Moreover, the technology provided by Asia-Pacific Smart allows for automatic detection of which production line is problematic, type of issue, and management of the situation, speeding up the repair process and potentially saving up to 30% of manpower.

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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Preventing Problems Before They Arise: Leadtek Research Develops AI Technology for Early Detection of Heart Failure Symptoms

With the increase in the elderly population, the incidence of various chronic diseases is rising daily Among these, heart failure is not only a silent killer it has a very long disease course with a high recurrence rate, leading to increased burden on healthcare personnel However, by using medically certified electrocardiography acoustics devices, coupled with AI predictive assessment of heart failure risk and remote care systems, diagnosis can be aided significantly, helping doctors make accurate diagnoses for subsequent patient medical care or referrals Heart failure has a lengthy course and medical expenditure is five times that of diabetes If you find yourself short of breath even with minimal movement, or if you wake up from sleep needing to sit up to feel comfortable, or if you have symptoms such as swollen lower limbs, anxiety, restlessness, fatigue, or a loss of appetite, be cautious These could be signs of heart failure According to statistics, there are about 60 million 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based on the electrocardiogram and phonocardiogram data 3 Prediction of heart failure recurrence risk For patients with heart failure, it reads their phonocardiogram and electrocardiogram data, assessing the risk prediction of heart failure recurrence Leadtek states that the application of heart failure AI recognition technology can assist doctors in making more efficient and accurate diagnoses, facilitating subsequent medical treatment or referrals for patients As an instance, in studies of heart failure patients discharged from Taipei Veterans General Hospital, using the EMAT Electromechanical Activation Time index and SDI Systolic Dysfunction Index calculated by the synchronized electrocardiography-acoustic device as treatment guidelines resulted in a higher survival rate compared to those treated based on traditional symptoms This research has also been published in the authoritative international cardiology journal JACC, receiving recognition in the international market System manufacturers can apply heart failure AI recognition technology for other value-added applications Leadtek states that cooperating system manufacturers can choose to build their own heart failure AI risk prediction engine, uploading their system's electrocardiogram and phonocardiogram data to Leadtek's heart failure AI risk prediction engine, which then returns risk prediction values for integration by system manufacturers cooperating manufacturers as a value-added application input Not just for clinical use, the heart failure AI risk prediction engine can also be extended for use at home or in the workplace Additionally, this system can be extended to other applications, including One, hospital outpatient screening Doctors can use the electrocardiogram and phonocardiogram recorder along with the heart failure AI risk prediction model to conduct a 10-second rapid test in outpatient and emergency departments to assess a patient's cardiac history and heart failure risk Two, discharge risk assessment Doctors can use the electrocardiogram and phonocardiogram recorder along with the heart failure AI risk prediction model to assess the heart failure risk during a patient's hospital stay The test data can serve as a pre-discharge risk assessment and prognostic indicator Three, continuous home care Patients can use the electrocardiogram and phonocardiogram recorder, wearable electrocardiogram recorder, and transmit through a home transmission box gateway to measure electrocardiogram and phonocardiogram signals at home and upload them to the amor health cloud platform for heart failure AI risk prediction analysis Patients can manage their health autonomously via an APP, reviewing historical physiological trends disease management nurses can manage member health through the health management backend Web Four, home rehabilitation training Patients can wear a health bracelet to monitor activity, fatigue, circulation, and sleep, autonomously managing their health through the mobile APP and observing the risk of heart failure, engaging in exercise and rehabilitation training to aid in swift recovery The heart failure AI recognition technology system can also be extended to employee home care applications Additionally, in factories or offices, this system can also achieve employee health management goals, with applications including One, workplace safety units Provide employees with wearable electrocardiogram recorders before they start work duties Two, physiological monitoring for business executors While executing business duties or training, employees wear wearable electrocardiogram recorders for fatigue warnings, signaling whether physiological conditions allow continued execution of tasks Task segments can use data transmission boxes or apps to upload physiological monitoring information to the health management platform, assessing the heart failure risk for operations staff, with test data serving as an indicator for enterprise resource human units and public safety Three, workplace physiological monitoring center care The workplace physiological monitoring center can inspect and record employees' historicalphysiological trends through the health cloud platform Four, workplace nursing units Nursing units receiving instructions from the physiological monitoring center can provide health management advice based on employees' physiological trends nursing centers can manage employee health through the health management backend Web Five, employees can wear health bracelets to monitor activity, fatigue, circulation, and sleep, autonomously managing their health and observing the risk of heart failure through the mobile APP, engaging in exercise and rehabilitation training to aid in rapid recovery Workplace application of heart failure cloud care and big data center diagram「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」