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CN-122017165-A - Water quality sensor efficient control system and method based on Internet of things

CN122017165ACN 122017165 ACN122017165 ACN 122017165ACN-122017165-A

Abstract

The invention discloses a detection device using a water quality detection sensor, which comprises a shell, wherein a main board is arranged on the inner wall of the shell, one side of one end of the main board is connected with a first support rod, one end of the first support rod is provided with an ultraviolet detector, the other side of one end of the main board is connected with a second support rod, one end of the second support rod is connected with an ultraviolet light emitting diode, one end of the shell is clamped with a probe front cover, the middle part of the probe front cover is provided with a temperature-sensing metal cap, both sides of the inside of the probe front cover are provided with conductivity probes, one end of the inside of the probe front cover is provided with a receiving transparent cover, and the other side of the inside of the probe front cover is provided with an emitting transparent cover.

Inventors

  • YANG JUN
  • JIANG ZIXUAN

Assignees

  • 深圳海问微智能传感技术有限公司

Dates

Publication Date
20260512
Application Date
20241108

Claims (10)

  1. 1. The water quality sensor high-efficiency control system based on the Internet of things comprises a central control module (1), a data collection module (2), an equipment feature module (3), an area feature module (4), a data transmission module (5), an equipment positioning module (6) and a front end control module (7), and is characterized in that the central control module (1) is respectively connected with the data collection module (2), the equipment feature module (3) and the area feature module (4) are respectively connected with the equipment positioning module (6), the equipment positioning module (6) is connected with the front end control module (7) in a control mode, the data collection module (2) and the front end control module (7) are respectively connected with the data transmission module (5), and the data transmission module (5) is connected with the central control module (1) in a control mode.
  2. 2. The high-efficiency control system of the water quality sensor based on the Internet of things, which is characterized in that the equipment positioning module (6) is in control connection with the positioning transmission module (8), and the positioning transmission module (8) is in control connection with the area positioning module (9).
  3. 3. The high-efficiency control system of the water quality sensor based on the Internet of things, which is characterized in that the positioning transmission module (8) is controlled to be connected with the data analysis module (10), the data analysis module (10) is controlled to be connected with the data transmission module (5), and the data analysis module (10) and the area positioning module (9) are controlled to be connected with the area analysis module (11).
  4. 4. The efficient control system of the water quality sensor based on the Internet of things, according to claim 3, wherein the area analysis module (11) is controlled to be connected with the abnormality analysis module (12), and the abnormality analysis module (12) is controlled to be connected with the abnormality feedback module (13).
  5. 5. The high-efficiency control system of the water quality sensor based on the Internet of things, which is characterized in that the data collection module (2) is in control connection with the data check module (14), the data check module (14) is in control connection with the sand box mirror image module (15), and the data check module (14) and the sand box mirror image module (15) are both in control connection with the feature extraction module (16).
  6. 6. The efficient control system of the water quality sensor based on the Internet of things, which is characterized in that the characteristic extraction module (16) is respectively connected with the behavior analysis module (17) and the characteristic recognition module (18), the behavior analysis module (17) and the characteristic recognition module (18) are respectively connected with the abnormal feedback module (13), and the abnormal feedback module (13) is connected with the central control module (1).
  7. 7. The efficient control system of the water quality sensor based on the Internet of things, which is characterized in that the data collection module (2) comprises a data processing module (19), a data noise reduction module (20), a data de-duplication module (21) and a data compression module (22), the data processing module (19) is respectively connected with the data noise reduction module (20) and the data de-duplication module (21), the data noise reduction module (20) and the data de-duplication module (21) are respectively connected with the data compression module (22), and the data compression module (22) is connected with the data transmission module (5).
  8. 8. The high-efficiency control system of the water quality sensor based on the Internet of things, which is characterized in that the equipment characteristic module (3) is respectively connected with the equipment monitoring module (23) and the parameter monitoring module (24), the parameter monitoring module (24) is connected with the abnormality extraction module (26), the abnormality extraction module (26) is connected with the autonomous calibration module (27), the autonomous calibration module (27) is connected with the calibration confirmation module (28), and the calibration confirmation module (28) is connected with the central control module (1).
  9. 9. The efficient control system of the water quality sensor based on the Internet of things, which is characterized in that the equipment monitoring module (23), the abnormality extraction module (26) and the calibration confirmation module (28) are all controlled to be connected with the abnormality alarm module (25), the abnormality alarm module (25) is controlled to be connected with the equipment feedback module (29), and the equipment feedback module (29) is controlled to be connected with the central control module (1).
  10. 10. A water quality sensor high-efficiency control method based on the Internet of things comprises the following steps of firstly, parameter adjustment, secondly, data collection and processing, thirdly, data analysis and judgment, fourthly, data investigation and identification, and fifthly, abnormal feedback processing, and is characterized in that: In the first step, the parameters of the water quality sensor are adjusted to a proper range according to the actual requirements In the second step, the data collection module (2) collects the equipment operation data and the physical data detected by the sensor, the data processing module (19) regulates and controls the data noise reduction module (20) and the data de-duplication module (21) to perform noise reduction and de-duplication processing on the data, the accuracy and consistency of the data are ensured, and then the data are compressed by the data compression module (22) and then transmitted by the data transmission module (5); In the third step, the processed data is analyzed by a data analysis module (10) and whether the data has abnormality is judged; In the fourth step, abnormal behaviors of the data chain are checked through the data checking module (14), and then behaviors and features of the malicious software are analyzed and detected through the feature recognition module (18) and the behavior analysis module (17); in the fifth step, the abnormal data and the behavior characteristics of the malicious software are fed back to the central control module (1) through the abnormal feedback module (13), so that the manager can find and process the abnormal data and the behavior characteristics in time.

Description

Water quality sensor efficient control system and method based on Internet of things Technical Field The invention relates to the technical field of sensor control, in particular to a water quality sensor efficient control system and method based on the Internet of things. Background The sensor is a detection device capable of sensing measured information and converting the sensed information into electric signals or other information output in a required form according to a certain rule so as to meet the requirements of transmission, processing, storage, display, recording, control and the like of the information, the water quality sensor control system is an automatic system for monitoring and controlling water quality parameters and plays an important role in the fields of water quality management, environmental protection, industrial production and the like, the real-time performance, the accuracy, the expandability and the like of the Internet of things are combined, a more efficient and intelligent solution is provided for water quality management, the existing water quality sensor high-efficiency control system basically meets the requirements of users, and the defects that the existing water quality sensor control system monitors water quality and simultaneously can be affected by environment for a long time so as to cause equipment or parameter abnormality, the water quality is required to be manually monitored during calibration and maintenance, the existing water quality sensor control system can be affected by outside or interference during industrial emission monitoring so as to cause the detection of the sensor, the water quality sensor can not be affected by environment quality control, and the water quality sensor is not continuously controlled based on the environment, and the environment is not required to be controlled by the environment, and the water quality sensor is not continuously controlled. Disclosure of Invention The invention aims to provide a water quality sensor high-efficiency control system and method based on the Internet of things, so as to solve the problems in the background technology. In order to achieve the purpose, the water quality sensor high-efficiency control system based on the Internet of things comprises a central control module, a data collection module, an equipment feature module, a regional feature module, a data transmission module, an equipment positioning module and a front end control module, wherein the central control module is respectively in control connection with the data collection module, the equipment feature module and the regional feature module are both in control connection with the equipment positioning module, the equipment positioning module is in control connection with the front end control module, the data collection module and the front end control module are both in control connection with the data transmission module, and the data transmission module is in control connection with the central control module. As a further technical scheme of the invention, the equipment positioning module is controlled to be connected with the positioning transmission module, and the positioning transmission module is controlled to be connected with the area positioning module. As a further technical scheme of the invention, the positioning transmission module is controlled to be connected with the data analysis module, the data analysis module is controlled to be connected with the data transmission module, and the data analysis module and the area positioning module are controlled to be connected with the area analysis module. As a further technical scheme of the invention, the area analysis module is controlled to be connected with the abnormality analysis module, and the abnormality analysis module is controlled to be connected with the abnormality feedback module. As a further technical scheme of the invention, the data collection module is controlled to be connected with the data checking module, the data checking module is controlled to be connected with the sand box mirror image module, and the data checking module and the sand box mirror image module are both controlled to be connected with the feature extraction module. As a further technical scheme of the invention, the characteristic extraction module is respectively controlled and connected with the behavior analysis module and the characteristic recognition module, and the behavior analysis module and the characteristic recognition module are both controlled and connected with the abnormal feedback module which is in control connection with the central control module. As a further technical scheme of the invention, the data collection module comprises a data processing module, a data noise reduction module, a data duplication removal module and a data compression module, wherein the data processing module is respectively connected with the data noise reduction module and the data dupli