Enhancing Value through IoT, AI and Big Data
First written in FY2016. 7 of 12 entries say "Advanced", first in FY2020. Latest entry: FY2026.
2 other companies' latest entry also says "Advanced".
- FY2026AdvancedAnnual report
「Development and operation at a cumulative total of 21 sites of MaiDAS, an integrated operations system for waste-to-energy plants that uses AI, IoT technology and the cloud to provide remote monitoring, automated operation and other operational support.」
The use of AI, IoT and the cloud was translated into the development and operation of MaiDAS, an integrated operations system, at a cumulative total of 21 sites. Design and production DX, as well as logistics intelligence through ΣSynX, are also continuing. - 2026-05-28AdvancedGeneral Meeting of Shareholders
「生成AIの利用環境を整備し、日常業務の改善などを進めています。」
AI活用を社内利用環境の整備、業務プロセスの再設計、製品サービスへの応用へ具体化した。 - FY2025AdvancedAnnual report
「For example, the company contributes to the stable operation of plants by upgrading O&M (Operation & Maintenance) through the ΣSynX Supervision image-monitoring platform and processing image data of piping at power-generation plants.」
The use of ΣSynX was translated into concrete applications, including upgrading O&M through image monitoring and processing image data of piping at power-generation plants, rather than general digital connectivity alone. - FY2024AdvancedAnnual report
「The services business will also be expanded by meeting customers' needs through the use of accumulated data, AI-based failure prediction and preventive maintenance.」
The company explicitly identified digital products, ΣSynX connectivity, and AI- and accumulated-data-based failure prediction and preventive maintenance as means of expanding the services business. - FY2023AdvancedAnnual report
「The group has already developed and implemented a range of digital products, including controls for mechanical and power generation equipment, remote monitoring and maintenance, and cyberattack protection. By intelligently connecting these through the ΣSynX platform, it will provide value-added benefits such as reduced labour requirements, optimised design and equipment, and high reliability.」
The use of IoT, AI and digital products is being translated into concrete offerings, moving from individual services to connected machinery, power-generation equipment and other assets through the ΣSynX connectivity platform, as well as one-stop social infrastructure solutions. - FY2022AdvancedAnnual report
「By using these technologies to make products and services “smart and connected,” the group will work with customers to create solutions and value chains that further unlock the potential of integrated mechanical systems.」
The use of IoT, AI, data analytics and simulation advanced from individual services to solutions that integrate complex mechanical systems and value chains. Applications in logistics, heating and cooling, power and data centres were also indicated. - FY2021ReframedAnnual report
「To meet customers’ increasingly diverse and sophisticated needs, the group will shift from its traditional product-led business to a solutions business that integrates and controls diverse mechanical systems to solve customers’ problems and co-create new value. It will first use the logistics business as a model case, proposing solutions such as automated logistics and the cold chain to address customers’ challenges and latent needs.」
The theme expanded from strengthening individual services using IoT and AI to shifting toward a solutions business that integrates and controls mechanical systems, with logistics and the cold chain selected as model cases. - FY2020AdvancedAnnual report
「Development of ENERGY CLOUD® Service, a solution that uses AI and IoT to support the optimisation of energy use by customers and local communities, and QoEnTM, an indicator that quantitatively presents the desired state of high-quality energy infrastructure from social, economic and environmental perspectives」
Alongside the continued rollout of AI and IoT applications in ENERGY CLOUD Service, the group newly identified QoEn as a target for development to quantitatively assess energy infrastructure. - FY2019RestatedAnnual report
「In the coal-fired power generation market, in response to needs such as reducing environmental impact, the group will strengthen its services business, which enables clean and economically efficient power generation through MHPS-TOMONI®, a digital solutions service that optimises the operation of power generation facilities using IoT technology and remote monitoring. It will also continue developing ENERGY CLOUD®, an energy management system that works with electricity users and others to improve the economics of entire facilities.」
The group continues to roll out MHPS-TOMONI and ENERGY CLOUD using IoT and remote monitoring as measures for its services business and energy management. - FY2018RestatedAnnual report
「Development of the ENERGY CLOUD Service, an energy solutions service that uses AI and IoT to accurately forecast and detect customers’ energy usage and equipment operating conditions」
The group continues to expand the use of IoT and AI beyond remote monitoring and maintenance into service development for forecasting and detecting energy usage and equipment operating conditions. - FY2017RestatedAnnual report
「Demand for new GTCC installations is also expected to stagnate for the time being, and as a countermeasure the group will work to strengthen its services business using IoT and AI.」
The group continues to expand its policy of using IoT and AI for remote monitoring and maintenance, services businesses, smart factories and the detection of risk factors. - FY2016First statedAnnual report
「Development of remote monitoring and maintenance service technologies combining operating expertise with big-data analytics」
The group identified technology development using IoT and AI for supply chain management and remote monitoring and maintenance services.