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Hmcomm Begins Equipment Monitoring at Shikoku Electric Power Using the “FAST-D Monitoring Edition” AI Solution for Abnormal Sound Detection

Hmcomm has provided Shikoku Electric Power Company,Incorporated with FAST-D, an abnormal sound detection AI solution, and begun using it for continuous monitoring of power generation-related facilities. Based on the results of a joint verification conducted in fiscal 2025, the company is proceeding with its application to actual facility monitoring operations.

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Improvement
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Announced details

FAST-D Monitoring Edition (FAST-D)
Applicable field (uses covered by this announcement)

Continuous monitoring of power generation-related equipment and facilities, facility maintenance, predictive maintenance, and condition-based maintenance (CBM)

Launch date29 June 2026 (announced as the start date; no separate date specifically identified as the actual implementation start date was disclosed)
Relationship between the counterparty and the company
Hmcomm Inc.265A
Relationship with the Company

The parties conducted a joint verification in fiscal 2025, and based on its results, Hmcomm is providing FAST-D to Shikoku Electric Power Company,Incorporated. Capital and personnel relationships: Not disclosed.

CounterpartyShikoku Electric Power Company,Incorporated

2-5 Marunouchi, Takamatsu, Kagawa. Business: electric power. Representative Director and President: Miyamoto Yoshihiro (宮本喜弘).

In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.

Announced details
ItemDetails
Names of Products / Services CoveredFAST-D Monitoring Edition (FAST-D)
CounterpartyShikoku Electric Power Company,Incorporated
Counterparty overview2-5 Marunouchi, Takamatsu, Kagawa. Business: electric power. Representative Director and President: Miyamoto Yoshihiro (宮本喜弘).
Relationship with the CompanyThe parties conducted a joint verification in fiscal 2025, and based on its results, Hmcomm is providing FAST-D to Shikoku Electric Power Company,Incorporated. Capital and personnel relationships: Not disclosed.
Launch date29 June 2026 (announced as the start date; no separate date specifically identified as the actual implementation start date was disclosed)
Applicable areaContinuous monitoring of power generation-related equipment and facilities, facility maintenance, predictive maintenance, and condition-based maintenance (CBM)
Items this document does not state (12)
Contract ValueOffering priceContract DateAward/certification nameAwarding / certifying bodyRegistration number and expiry dateLocationLocation scaleQuantitative EffectsUsage historyImpact on Business PerformanceSource

These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.

The reasons the company gives

The company's own explanation, not something inferred from the numbers.

The joint verification conducted in fiscal 2025 confirmed the potential and effectiveness of detecting abnormal sounds caused by facility malfunctions without relying on human hearing or experience. Based on the verification results, the stated aim is to accumulate knowledge while proceeding with the application to facility monitoring operations.

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Hmcomm Begins Equipment Monitoring at Shikoku Electric Power Using the “FAST-D Monitoring Edition” AI Solution for Abnormal Sound Detection | Hmcomm Inc. (265A) timely disclosure | Komori