MC2-442-57CQB-1-21 Human Machine Interaction

On April 25, 2017, ABB and IBM announced a strategic cooperation today. ABB”s industry-leading digital solution ABB Ability will join forces with IBM Watson IoT cognitive computing technology to create new innovations for customers in the power, industry, transportation and infrastructure fields. the value of.ABB has deep industry expertise and cross-industry digital solutions, and IBM is an expert in artificial intelligence, machine learning and different vertical industries. The cooperation between the two parties will benefit customers. ABB Ability and Watson will first cooperate in the fields of factories and smart grids to provide real-time cognitive analysis.”The strong alliance between the two parties marks a new stage in the development of industrial technology. We will not only have the interconnected systems that currently collect data, but will also use data to sense, analyze, optimize and take countermeasures in industrial operations and equipment to help industrial customers Improve uptime, speed and production.” ABB Group CEO Spiesshofer said, “ABB has installed 70 million connected devices around the world, has 70,000 running control systems and 6,000 enterprise software solutions. As a trusted leader in the industrial field, ABB has been deeply involved in industrial digitalization for more than 40 years. IBM is a leader in artificial intelligence and cognitive computing. IBM and ABB will work together to create powerful solutions for customers and seize the fourth The great opportunities presented by the sub-industrial revolution.”Groundbreaking new solutionsThis breakthrough solution, jointly developed by ABB and IBM, will provide users with a new way to address major challenges in the industrial field, such as strengthening quality control, reducing downtime, and increasing the speed and output of industrial processes. These solutions will not only have the data collection capabilities of existing connected devices, but will also cover cognitive industrial devices that use data to detect, analyze and take response measures, helping workers eliminate ineffective processes and redundant work.IBM Chairman, President and CEO Rometty said: “This important cooperation with ABB will help Watson more deeply participate in industrial applications in different fields such as manufacturing, power and transportation. In the products, equipment and systems of industrial enterprises The data generated will also significantly improve innovation, efficiency and safety. Through Watson”s extensive cognitive capabilities and the platform”s special support for the industrial sector, these huge amounts of new resources can be transformed into trusted value. We eagerly look forward to working with ABB on cooperation in this new industrial sector.”Bringing real-time cognitive analytics to the factoryFor example, ABB and IBM will use Watson artificial intelligence to help users identify substandard products through real-time product images. TheseThe images are captured by the ABB system and analyzed through IBM Watson IoT for Manufacturing. Previously, this product inspection process was completed manually, which was not only slow but also prone to errors. Through the perfect combination of Watson”s real-time cognitive analysis directly in the factory with ABB”s industrial automation technology, users can increase production line output while improving production accuracy and product consistency. The solution alerts producers to critical faults that cannot be discerned by the human eye during the assembly process of product parts, allowing quality control experts to quickly intervene. This easier problem detection will improve the quality of all products on the production line, help users avoid expensive product recalls and suffer reputational losses, and significantly improve their competitiveness.Smart grid real-time cognitive analysisABB and IBM will use Watson technology to extract historical and weather data to predict power supply patterns on the power generation side and demand side, helping power customers optimize operations and maintain smart grids, and solve the increasingly complex balance between traditional and renewable energy faced by smart grids. Sexual issues. Forecasts of temperature, light and wind speed will be used to predict electricity consumption demand, helping power customers determine optimal load management and real-time electricity prices.

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