Energy Vulnerability Detector Based on Expert System
An expert system and detector technology, applied in the field of detectors, can solve problems such as high errors and difficult work, and achieve the effect of improving the level of energy saving, promoting development and growth, and reducing the cost of energy saving
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[0025] Requirements: During the working hours of building A (9:00-17:00), if the indoor detection temperature (A.TEMP) is greater than the temperature setting value (A.SETTEMP), the fan (A.FAN) should be in the running state, Otherwise, alarm: abnormal operation of the fan.
[0026] By analyzing the requirements, a rule is established for the energy consumption vulnerability detection rule base based on energy management experts, the content is as follows (pseudo-code expression):
[0027] IF(A.TEMP>A.SETTEMP AND 9:00<systemtime(system time)<17:00 AND A.FAN!=1)
[0028] THEN
[0029] The fan (A.FAN) is operating abnormally.
[0030] Data manipulation process (such as figure 1 shown):
[0031] First, the rules described above are written into the detection rule dictionary table of the relational database through the function of the detection rule management unit, and then the detection unit will detect the real-time data stream in real time according to the given detection ...
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