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CN-122016717-A - Groundwater pollution risk detection device based on artificial intelligence

CN122016717ACN 122016717 ACN122016717 ACN 122016717ACN-122016717-A

Abstract

The invention discloses an underground water pollution risk detection device based on artificial intelligence, which relates to the technical field of optical detection and is technically characterized by comprising a detection module, a direction adjusting module, a parameter processing module, a data acquisition unit, an on-line monitoring module, a wireless transmission unit, an intelligent processing unit and a remote monitoring device, wherein the detection module comprises a base, a laser light source and a focusing lens are arranged on the base, a multispectral optical sensor is arranged on one side of the multispectral optical sensor, a light receiving area filter is used for receiving reflected light rays with different wave bands, the direction adjusting module comprises a mounting frame and is fixed with the base through a spherical holder movable part, the parameter processing module comprises a data acquisition unit and is in signal connection with the multispectral optical sensor, the signal is further connected with an intelligent processing unit embedded with an artificial intelligent algorithm model, the concentration exceeds a standard to obtain warning signal, the on-line monitoring module comprises a wireless transmission unit and is in signal connection with the intelligent processing unit, and is in wireless connection with the remote monitoring device, and the detection timeliness can be improved, and the detection effect is improved.

Inventors

  • DONG JIE
  • YU PENG
  • WANG YUEQI
  • FU JIANI
  • Zhang Fangdu
  • ZHAO MINGYUE

Assignees

  • 青岛地质工程勘察院(青岛地质勘查开发局)

Dates

Publication Date
20260512
Application Date
20260122

Claims (9)

  1. 1. Groundwater pollution risk detection device based on artificial intelligence, characterized by, include: The detection module comprises a base (101), wherein a laser light source (102) is arranged on the base (101), a focusing lens (103) is covered at the light emergent position of the laser light source (102), a multispectral optical sensor (104) is arranged on one side of the laser light source (102), a light receiving area of the multispectral optical sensor (104) is provided with a light filter (105), and the multispectral optical sensor (104) is used for receiving light rays of different wave bands reflected by a pipeline in a water body; the direction adjusting module comprises a mounting frame (201), wherein the mounting frame (201) is fixedly connected with a fixed foundation, and the mounting frame (201) is fixedly connected with the base (101) through a movable part of a spherical cradle head (202); The parameter processing module comprises a data acquisition unit, wherein the data acquisition unit is in signal connection with the multispectral optical sensor (104), the data acquisition unit is in signal connection with an intelligent processing unit, an algorithm model based on artificial intelligence is embedded in the intelligent processing unit, and the intelligent processing unit is used for matching different pollutant types and corresponding concentrations according to the light wave band and the light intensity acquired by the multispectral optical sensor (104); The on-line monitoring module comprises a wireless transmission unit which is in signal connection with the intelligent processing unit, wherein the wireless transmission unit is in wireless connection with a remote monitoring device, and the remote monitoring device is used for receiving and displaying the pollutant type, the pollutant type and the warning signal transmitted by the wireless transmission unit.
  2. 2. The underground water pollution risk detection device based on artificial intelligence according to claim 1, wherein the optical filter (105) is detachable, a containing groove is arranged outside the multispectral optical sensor (104), the containing groove is used for containing the optical filter (105), an external thread is arranged on the outer wall of the containing groove, the external thread is in threaded connection with a limit cover (301), and a light through hole for light to pass through is formed in the limit cover (301).
  3. 3. The underground water pollution risk detection device based on artificial intelligence according to claim 2, wherein the optical filter (105) is in a ring shape, and a sealing gasket (302) is arranged between the inner ring of the optical filter (105) and the outer ring of the focusing lens (103).
  4. 4. An artificial intelligence based groundwater pollution risk detection device according to claim 1, characterized in that the base (101) of the detection module is further provided with a temperature sensor. (4) the temperature sensor. (4) The data acquisition unit is in signal connection with the data acquisition unit, and the data acquisition unit is transmitted to the online monitoring module through the parameter processing module.
  5. 5. The underground water pollution risk detection device based on artificial intelligence according to claim 4, wherein the wireless transmission unit is set as an internet of things communication module, and an encryption chip is arranged in the wireless transmission unit.
  6. 6. The device of claim 5, wherein the remote monitoring device is one or more of a tablet, a mobile phone, or a personal computer with network communication.
  7. 7. The underground water pollution risk detection device based on artificial intelligence according to claim 6, wherein the remote monitoring device is connected with an alarm component in a signal manner, and the alarm component starts to alarm after the remote monitoring device receives the alarm signal.
  8. 8. The underground water pollution risk detection device based on artificial intelligence according to claim 7, wherein the alarm component is a buzzer or an audible and visual alarm.
  9. 9. The device for detecting risk of groundwater pollution based on artificial intelligence according to claim 1, wherein the intelligent processing unit further comprises a self-learning module capable of automatically adjusting an algorithm model according to historical data.

Description

Groundwater pollution risk detection device based on artificial intelligence Technical Field The invention relates to the technical field of optical detection, in particular to an underground water pollution risk detection device based on artificial intelligence. Background Groundwater is an important water resource reserve and plays an indispensable role in the production and life of humans and in the stable maintenance of the ecosystem. However, with the acceleration of industrialization, the continuous expansion of urban scale and the increasing frequency of agricultural activities, groundwater is subjected to a more serious threat of pollution. Various wastes such as waste water, waste residue and the like which are not treated properly in the industrial production process are easy to infiltrate into the ground if discharged or improperly treated at will, and harmful substances such as heavy metals, organic matters and the like contained in the wastes are easy to seriously damage the quality of underground water. If the anti-seepage measures are not in place, the landfill leachate can also carry a large amount of pollutants into the underground water body. In agricultural activities, excessive fertilizers and pesticides, and feces generated by livestock and poultry cultivation, and the like can also pollute underground water under the action of rain wash and infiltration. Once entering the underground water, the pollutants not only can reduce the use value of the underground water and influence the safety of drinking water of residents, but also can cause harm to organisms in an ecological system through the transmission of a food chain, thereby threatening the balance and stability of the whole ecological environment. In order to timely master the pollution condition of the underground water, effective prevention measures are adopted, and various underground water pollution detection devices are generated. At present, the underground water pollution detection devices are various, and can be roughly classified into chemical detection devices, physical detection devices, biological detection devices and the like according to different detection principles and technical means. Among them, the optical detection method has been used to detect groundwater pollution by its unique advantages. The optical detection method is mainly used for detecting pollutants in groundwater based on the characteristics of absorption, scattering, fluorescence and the like of substances to light. Compared with other detection methods, the optical detection method has the advantages of high detection speed, high sensitivity, good selectivity and the like. The device can rapidly screen various pollutants in the underground water in a short time, and can accurately detect trace pollutants. In addition, the optical detection device generally has the characteristic of non-contact detection, cannot cause secondary pollution to the groundwater sample, is relatively simple in structure, is convenient to operate and maintain, and has great application potential in the aspects of on-site detection and real-time monitoring. Although the optical detection method has a plurality of advantages in the detection of groundwater pollution, the detection device based on the method still faces a plurality of technical problems to be solved in practical application. Among them, insufficient real-time detection is a prominent problem. Most of the existing optical underground water pollution detection devices need to collect underground water samples and then bring the underground water samples back to a laboratory for analysis and detection, so that the process is long in time consumption, real-time information of underground water pollution cannot be timely obtained, and response and early warning are difficult to timely respond to some sudden underground water pollution events. Disclosure of Invention In order to solve at least one of the above technical problems, the present invention aims to provide an underground water pollution risk detection device based on artificial intelligence, which improves detection timeliness and detection effect. In order to achieve the above purpose, the present invention provides the following technical solutions: An artificial intelligence-based groundwater pollution risk detection device, comprising: the detection module comprises a base, wherein a laser light source is arranged on the base, a focusing lens is covered at the light emitting position of the laser light source, a multispectral optical sensor is arranged on one side of the laser light source, a light receiving area of the multispectral optical sensor is provided with a light filter, and the multispectral optical sensor is used for receiving light rays of different wave bands reflected by a pipeline in a water body; The direction adjusting module comprises a mounting frame, wherein the mounting frame is fixedly connected with the fixed foundation, and