Heat Flow Model for Building Fault Detection and Diagnosis

Patent №

US 8,606,554

Granted

2013-12-10

Filed 2010

Owner

SIEMENS CORPORATION

+1 more

Lab

AI components

3

ml · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12906186

Systems and methods are described that provide a Heat Flow Model (HFM) graph modeling methodology. Embodiments automatically translate formal HVAC system descriptions from a Building Information Model (BIM) into HFM graphs, and compile the graphs into executable FDD systems. During an engineering phase, a user interface is used to enter parameters, conditions, and switches not found in the BIM. During a runtime phase, real-time data from an HVAC control system is input to the generated FDD system (HFM graph) for fault detection and diagnosis.

Machine learningPlanningAI hardwareG05B 23/0243G05B 17/02G05B 2219/2614

AI classification

Planning0.98
AI hardware0.84
Machine learning0.61
Knowledge representation0.48
Natural language0.01
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

SIEMENS CORPORATION

assignment · 255460260

SIEMENS AKTIENGESELLSCHAFT

assignment · 315580844

Assignors

ZIMMERMANN, GERHARD, LU, YAN, LO, GEORGE

On an employer assignment, the assignors are typically the inventors.

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