Intelligent street lamp illumination data quality control system and method
A smart street lamp and data quality technology, applied in transmission system, database index, structured data retrieval, etc., can solve the problem that lighting data cannot be analyzed by big data, street lamp module attenuation curve cannot be obtained, lighting data quality is unstable, etc. problem, to achieve the effect of convenient and reliable data input and output, clear service interface specification, and guarantee of coherence and unity
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Embodiment 2
[0096] Embodiment 2 On the basis of the above content, step S2.4 also includes the following content:
[0097] S2.4.1, the alarm data control module 3b judges whether the alarm data is misreported, if not misreported, enters S2.8, otherwise enters S2.4.2;
[0098] S2.4.2, the alarm data control module 3b calls the alarm data of group a before and after the collection time of the alarm data, if at least group b in the alarm data of group a is a false alarm, a≥b>1;
[0099] The alarm data control module 3b marks the b group of alarm data as an abnormal data group, and stores it in the alarm data abnormal mark library 5b, and enters S2.8, otherwise, enters S2.5.
Embodiment 3
[0100] Embodiment 3 On the basis of the content of Embodiment 1, step S2.6 also includes the following content:
[0101] S2.6.1, the illuminance data control module 3c checks whether the illuminance data conforms to the illuminance formula, if so, enters S2.8, otherwise enters S2.6.2;
[0102] S2.6.2, the illuminance data control module 3c retrieves the c group of illuminance data before and after the collection time of the illuminance data, if at least d groups of the c group of illuminance data do not conform to the illuminance calculation formula, c≥d>1;
[0103] The illuminance data control module 3c marks the d group of illuminance data as an abnormal data set, and stores it in the illuminance data abnormal mark database 5c, and enters S2.8, otherwise, enters S2.7.
[0104]Preferably, both the data quality control module 3 and the data concentration module 4 are modules based on the Java language.
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