As water resources deplete and environmental protection needs increase, wastewater treatment plants have increasingly adopted AI technology to assist in monitoring and warning systems Zhongxin行's integration of big data and AI technology has opened up new possibilities in the environmental industry In the future, besides boosting the technological momentum of the wastewater treatment industry, it can also be promoted to other industries to foster technological and economic development Founded in year 1980 as Zhongxin Engineering later renamed to Zhongxin行 Company Limited, it is one of the largest and most technically equipped environmental companies in the domestic operation and maintenance field Zhongxin行's achievements in the operation and maintenance of sewer systems span across Taiwan, including science parks, industrial zones, international airports, schools, collective housing, national parks, and factories Introduction of AI systems in wastewater plants Precisely reduces medication addition times and lowers the risk of penalties for water quality violations At the wastewater treatment plant in Hsinchu Science Park, Zhongxin行 introduced the 'AOMBR Carbon Source and Aeration Intelligent Enhancement Control System Development,' which accurately predicts air volume control and reduces medication times, thus lowering the risk of hefty fines Zhongxin行 points out that with the vigorous development of advanced industries and increasingly strict effluent standards, a slight misalignment in equipment control can lead to major discrepancies in water quality In recent years, many wastewater treatment facilities have incorporated automatic control functions, yet onsite conditions often deviate slightly from theoretical expectations, causing situations where good treatment technologies must continuously adapt and adjust to achieve effective effluent water quality control 'The better the quality of the effluent, the greater the pressure on the operators This is the biggest pain point for Zhongxin行,' said a senior manager candidly Regular water quality testing and equipment maintenance ensure that effluent water stays below legal standards This means that operators need to be on top of equipment and water quality conditions daily If there are sudden anomalies in influent water quality or equipment malfunctions, linked issues can lead to pollution Therefore, besides performing regular maintenance and testing, it is critical to constantly monitor the dashboard to ensure system stability, consuming both manpower and mental energy Zhongxin行's on-site operators work 24-hour shifts, constantly monitoring effluent water quality Combined with laboratory water testing and analysis, if the wastewater treatment values do not meet requirements, they face both administrative and contractual fines from environmental agencies and granting authorities, which also create significant psychological pressure on the employees Over the years, Zhongxin行 has built up a vast database of water quality information and invaluable experience passed down among employees, allowing a comprehensive understanding of the entire system's operational characteristics Moreover, by analyzing equipment or water quality data for key signals, problems in the treatment units can be pinpointed If AI technology could be adopted to replace manual inspections of wastewater sources and generate pre-warning signals for systematic assessment, it would significantly alleviate the pressure on staff Response time reduced from 8 hours to 4 hours, saving half the time By implementing 'AOMBR Carbon Source and Aeration Intelligent Enhancement Control System Development,' Zhongxin行 utilizes accumulated wastewater data along with verbal recounts of operator experiences on-site With the support of AI technology and environmental engineering principles, key parameters in the biological treatment unit such as carbon source dosages and aeration can be effectively controlled Through the AI transformation of wastewater treatment, a balance is achieved among pollutant removal, microbial growth, equipment energy conservation, and operation economization, achieving rationalized control parameters Carbon source and aeration parameter adjustment steps range from data collection, model training to prediction verification In the long run, incorporating historical data calculations, AI can operate within known boundary conditions, not only recording past water quality and equipment operational characteristics far more accurately, but also developing predictive models to find optimal solutions that offer the best results in terms of chemical use, energy saving, reduced greenhouse gas emissions, and pollutant removal According to Zhongxin行's estimates, originally due to human parameter adjustments leading to errors, controlling response time would take about 8 hours With the introduction of AI technology, not only can measurement errors be reduced, but also the control response time can be shortened to 4 hours, saving around half the time This enhancement increases the turnover rate of personnel and effectively reduces the risks of penalties due to operator errors and thus markedly reducing the pressure on employees Dashboard digital display panel illustration「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Technology also carries the aroma of coffee Situated on Gaogong Road in the Southern District of Taichung, the original Black Wo Coffee store covers a space of 28 ping, filled with the scent of coffee mixed with cultural creativity and technology Since its establishment in October 2016, Black Wo Coffee has expanded to 7 directly managed stores and 28 franchise stores across Taiwan Among the 15,000 coffee sellers nationwide, Black Wo Coffee has risen uniquely through the use of AI technology to create an unmanned intelligent vending machine that brews exquisite and aromatic coffee in just one minute Black Wo Coffee's physical store creates a culturally creative and fashionable atmosphere Image Black Wo Coffee official website According to the International Coffee Organization ICO, Taiwanese people consume 285 billion cups of coffee annually, with the market size exceeding 70 billion NT dollars Ambitiously, as per Starbucks' survey, by 2018 the overall Taiwanese coffee market reached 72 billion NT dollars and rose to 90 billion by 2020 Over the last five years, the Taiwanese coffee market has expanded annually by about 20, showing remarkable growth potential Coffee demand presents incredible business opportunities, growing at a rate of 20 annually With coffee now being a symbol of fashionable consumption in Taiwan, aside from first-tier coffee shops like Starbucks and Louisa, there are convenience stores like 7-11 and FamilyMart, and numerous boutique coffee houses scattered through the streets and alleys How to capture consumer attention and stand out in the 'red ocean' of the coffee market requires flexibility and creativity, understanding consumer needs and tastes, which are also essential for cultivating brand loyalty Beyond physical storefronts, Black Wo Coffee is also actively developing digital channels Its ecommerce platform includes the official website, PChome, momo, and group-buying hosts, providing multiple channels and ensuring steady growth in performance Even so, the founder of Black Wo Coffee, Lin Pei-ni, continually seeks innovation Due to the passive and scattered situation with franchise stores in the first three years, it was difficult to actively grasp market trends and the company noticed a certain lag in communicating with consumers and keeping up with brand dynamics, making it challenging to cultivate loyal brand advocates Artisan boutique coffee is deeply beloved by consumers Image Black Wo Coffee official website Through the AI Eagle Eye System, market intelligence costs are significantly reduced To address the dual challenges of not being able to quickly capture market trends and high market research costs, Black Wo Coffee introduced the AI Eagle Eye System in 2020 to scout market intelligence By comprehensively crawling articles from social websites, news platforms, and forums, automatically tagging, and suitably filtering, this system scanned 4,858 articles using 24,290 keywords, enabling precise insights into consumer preferences at minimal costs At the same time, after launching new products, not only can franchise stores be notified promptly, but the acceptance level of consumers can also be assessed through social platforms It serves as a reference for whether to promote aggressively Through the collection of data and analysis by AI algorithms, consumer-preferred flavors are selected, reducing the risks associated with new launches and increasing the success rate of new products Therefore, in 2021, Black Wo Coffee boldly explored new markets by introducing the world's first AIoT smart coffee innovative concept in collaboration with Pxmart for the first 'Intelligent Supermarket', integrating Black Wo Coffee to create an unmanned intelligent hand-drip coffee machine for consumers to enjoy a unique flavor experience Insight into consumer tastes leads to the creation of AIoT Unmanned Intelligent Vending Machines Taiwan's first Pxmart 'Intelligent Supermarket' in Neihu, Taipei introduces the world's first AIoT smart coffee concept store, able to interact with the AI smart coffee vending machine, AI hand-washing coffee machine, and AI vacuum cold brew machine through a mobile app, meeting three different coffee technology experiences in one place The self-service area features the only unmanned intelligent coffee vending machine in Taiwan that uses chilled milk to make milk foam, selecting Black Wo's 5A grade milk, and completing the payment, grinding, and brewing all within one minute The first Pxmart 'Intelligent Supermarket' was established on Ruiguang Road in Neihu District, Taipei Image Pxmart FB fan page The Pxmart Intelligent Supermarket features an AI smart coffee vending machine, which is operated using an app to enjoy aromatic coffee Image Pxmart FB fan page Now, with the addition of AI technology elements, drinking coffee is not just about having coffee it also brings more brand-new tech experiences and conveniences to consumers「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

60-year-old Mr Huang was admitted to the hospital due to a stroke After lying in the intensive care unit for two weeks, his condition suddenly took a turn for the worse After rescue, he was lucky enough to survive In fact, with the assistance of AI critical illness early warning technology, hospitals can detect signs and take timely and accurate medical measures 6-8 hours before a patient's heart stops, which can greatly reduce the chance of death in the hospital The deterioration of the condition is a process that evolves over time, and its subtle changes are by no means without context Previous research reports show that about 60 to 70 of inpatients who experience unexpected in-hospital cardiac arrest had symptoms 6 to 8 hours before their cardiac arrest, but only a quarter of them were recognized by clinical staff Detection and discovery, therefore, there is a need for a risk warning tool or system that can be used earlier and continuously to monitor the condition, alert medical staff to pay attention to subtle changes in the patient's condition at any time, and take timely and accurate intervention measures before the condition progresses to effectively reduce adverse events or the risk of serious adverse events Unexpected deterioration cannot be detected early Acute and severe patients often undergo unpredictable changes, and timely detection or prediction of potential acute and severe patients is an important issue The currently commonly used clinical assessment method is Modified Early Warning Score MEWS, which uses simple physiological parameter assessment including heartbeat, respiratory rate, systolic blood pressure, body temperature, urine output and state of consciousness to screen out high-risk patients, and has been proven to be predictive Patient clinical prognosis MEWS is a scoring mechanism with a single time point and a standardized formula However, the AI crisis warning system developed by Boxin Medical Electronics - Hospital Emergency and Critical Care Early Warning Index System EWS is designed to predict patient status with immediate response , collect the physiological data of patients over time for deep learning, find the best prediction model, and improve the overall accuracy Boxin Medical Electronics uses a big data analysis model to build an early warning system EWS, IoT Internet of Things and 5G communication technology, allowing medical staff to remotely monitor the physiological status of patients through communication equipment, and monitor emergency and severe cases quickly The patient's condition changes and the golden rescue period of 6-8 hours before cardiac arrest can be grasped After Boxin Medical Electronics introduces AI visual interpretation, unmanned operation can greatly reduce medical manpower The AI technology developed by Boxin Medical Electronics is the Gradient Boosting Ensemble Learning System GBELS to build an early warning system It is a learning-based EWS prediction algorithm developed by the company, which is an integrated learning Ensemble Learning and is classified as supervised learning, providing the following three functions 1 Early warning risk notification is used to analyze representative data using GBELS to provide an early risk score so that medical staff can conduct immediate clinical assessment and provide appropriate medical treatment 2 Reduce medical manpower Collect continuous physiological monitoring data, such as heartbeat, respiration, blood pressure and blood oxygen concentration, etc, to reduce the time for medical staff to write cases 3 Combine IOT logistics network and 5G communication technology to quickly transmit medical data such as monitoring parameters and imaging data, and assist medical staff to monitor changes in patients' condition remotely through communication equipment AI critical illness system monitoring to master the golden treatment period Boxin Medical Electronics stated that assessing the severity of the disease in acute and severe patients is a complex task, and patients often experience unpredictable changes Clinical medical staff often judge the condition based on their own clinical experience or intuition, which lacks science and objectivity, resulting in the inability to correctly identify and timely detect potentially acute and severe patients, resulting in or misdiagnosis leading to increased in-hospital mortality of patients The introduction of an AI early critical illness warning system can assist emergency and critical care medical staff to correctly predict the patient's condition and allow patients to receive the care they need immediately This can reduce the manpower arrangement of the emergency and critical care ward at the same time and reduce labor costs In addition, the easy-to-carry design will help the system be introduced into ambulances, home care and other places in the future, so that emergency patients can receive appropriate care earlier Other departments within the hospital can also develop new applications around this system, which can effectively accelerate the development and promotion of smart medical technology With the COVID-19 epidemic still raging in many countries around the world, this system can also help hospitals in various places to operate more effectively Caring for and monitoring the condition of critically ill patients In addition to AI critical illness warning, Boxin Medical Electronics has also developed AI image interpretation - Medical Physiological Monitor Life Cycle Compliance Testing AVS, which uses AI image interpretation technology to develop automated quality inspection of life support medical equipment The instrument solves the time-consuming problem of medical instrument testing It can reduce testing time by 70, increase the number of tests by 3 times, and effectively reduce labor costs by 50 At the same time, it is 100 compliant with regulatory requirements, and gradually solves the shortage of manpower and medical resources in the medical field , medical work overload and other issues It has now taken root in mainland China and is actively preparing for its launch in Europe It will develop towards the Japanese and American markets in the future Boxin Medical Electronics develops AI image interpretation-medical physiological monitor life cycle compliance testing AVS to solve the time-consuming problem of medical instrument testing and can reduce testing by 70 time At this stage, Boxin Medical's smart medical technology has been introduced into medical hospitals including Hsinchu MacKay, Changkei, Dongyuan General Hospital, Kaohsiung University of Technology Affiliated Hospital, Zhenxin Hospital, Hsintai Hospital, Taipei Medical University Affiliated Hospital, etc GE HealthcareInc, an internationally renowned medical materials manufacturer, and Mindray Medical, China's largest medical materials manufacturer, are both representative customers of Boxin Medical Electronics 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」