Fluid leakage detection system, fluid leakage detection device, and learning device

A fluid leakage detection device, comprising:

• an actual measured value acquirer that acquires values of detection target amounts detected by a plurality of sensors, provided in a building, that respectively detect values of detection target amounts at the installation positions thereof;
• and
• a leakage state judgement unit that judges a leakage state of a fluid in the building based on distributions of the values of detection target amounts acquired by the actual measured value acquirer, wherein
• the leakage state judgement unit judges a leakage state of the fluid in the building by means of a leakage state judgement algorithm learned by machine learning using, as learning data, the values of detection target amounts computed based on a result of simulating behavior of the fluid in the building at the time of leakage of the fluid from a predetermined position of the building by performing three-dimensional flow simulation based on structural data of the building.

A learning device, comprising:

• a learning data acquirer that acquires, as learning data, values of detection target amounts detected, at the time of leakage of a fluid from a predetermined position of a building, respectively by a plurality of sensors provided in the building;
• a learning unit that learns a leakage state judgement algorithm to which the values of detection target amounts detected by the plurality of sensors are input and from which a position of a leakage source of the fluid is output, by machine learning using learning data acquired by the learning data acquirer;
• a structural data retaining unit that retains structural data of the building;
• and
• a three-dimensional flow simulator that simulates behavior of the fluid in the building at the time of leakage of the fluid from a predetermined position of the building, by performing three-dimensional flow simulation based on structural data of the building retained in the structural data retaining unit, wherein
• the learning unit learns the leakage state judgement algorithm by machine learning further using, as learning data, the values of detection target amounts computed based on a result of three-dimensional flow simulation performed by the three-dimensional flow simulator.

A design support system, comprising:

• a learning device that learns a dangerousness judgement algorithm used to judge dangerousness related to leakage of a fluid in a building;
• and
• a design support device that supports designing of the building by means of the dangerousness judgement algorithm learned by the learning device,
• the learning device comprising:
• a learning data generator that generates learning data used for learning of a correlation between dangerousness related to leakage of a fluid evaluated based on a simulation result regarding leakage behavior of the fluid in the building and a structural factor of the building in the simulation;
• and
• a learning unit that learns the dangerousness judgement algorithm using learning data generated by the learning data generator,
• the design support device comprising:
• a structural data acquirer that acquires structural data representing a structure of a building;
• and
• a dangerousness judgement unit that judges dangerousness of the building by means of the dangerousness judgement algorithm, based on structural data acquired by the structural data acquirer.