CN-122017172-A - Complex water quality monitoring method and system based on vertical layered sensing

CN122017172ACN 122017172 ACN122017172 ACN 122017172ACN-122017172-A

Abstract

The invention discloses a complex water quality monitoring method and system based on vertical layered sensing, in particular to the technical field of water quality monitoring and intelligent sensing, which are used for solving the technical problems that data cannot stably correspond to a specific water quality interface and an interface evolution process is difficult to accurately analyze due to fixed point measurement in a dynamic water body in the conventional vertical layered monitoring method; the intelligent sensor array is used for synchronously acquiring water quality parameters and dynamic environment parameters of the vertical section, judging whether a dynamic water quality interface exists or not based on the dynamic environment parameters, extracting water quality frontal surface characteristic parameters and background hydrologic shearing parameters when the dynamic water quality frontal surface characteristic parameters and the background hydrologic shearing parameters exist, analyzing interaction modes of the water quality frontal surface characteristic parameters and the background hydrologic shearing parameters to identify real-time space positions and dominant evolution mechanisms of the interface, further generating corresponding tracking control instructions according to the identified dominant evolution mechanisms, and driving a sensing unit to conduct active tracking type vertical layering sensing on the dynamic water quality interface.

Inventors

GE TAO
HU CHEN
LIU ZHIWEI
SUN MIN
SHI LIANGYU
WEI JUN
GAO YA
FAN WEN
WANG YU

Assignees

安徽省地质实验研究所(国土资源部合肥矿产资源监督检测中心)

Dates

Publication Date: 20260512
Application Date: 20260210

Claims (10)

1.A complex water quality monitoring method based on vertical layered sensing is characterized by comprising the following steps: S1, synchronously acquiring water quality parameters and corresponding dynamic environment parameters of each measuring point on a preset vertical section through an intelligent sensor array; s2, judging whether a dynamic water quality interface which is dominant by water movement and continuously changes exists in the vertical section based on the dynamic environment parameters; S3, when the dynamic water quality interface is judged to exist, extracting the characteristic parameters of the water quality frontal surface reflected by the water quality parameters, and extracting the background hydrologic shearing parameters reflected by the dynamic environment parameters; S4, analyzing an interaction mode between the characteristic parameters of the water front and the background hydrologic shearing parameters, and identifying a real-time spatial position and a dominant evolution mechanism of the dynamic water quality interface based on the interaction mode; S5, generating a tracking control instruction according to the real-time spatial position of the dynamic water quality interface and the dominant evolution mechanism, and driving a sensing unit in the intelligent sensor array to perform tracking type vertical layering sensing on the dynamic water quality interface.
2. The complex water quality monitoring method based on vertical layering sensing according to claim 1, wherein S1 comprises: arranging the intelligent sensor array at each measuring point of the vertical section according to a preset depth interval; and controlling each sensor unit in the intelligent sensor array to acquire synchronous data so as to obtain the water quality parameter and the power environment parameter of each measuring point at the same moment.
3. The method for monitoring the quality of the complex water body based on the vertical layering sensing according to claim 2, wherein the dynamic environment parameters comprise the flow rate and the flow direction of the water body at each measuring point, and the water quality parameters comprise the concentration of dissolved oxygen, the concentration of chlorophyll and the concentration of nutrient salt.
4. The complex water quality monitoring method based on vertical layering sensing according to claim 1, wherein S2 comprises: Calculating the vertical shearing strength of the vertical section based on the flow velocity and the flow direction of the water body at each measuring point; Comparing the vertical shearing strength with a preset shearing strength threshold value; When the vertical shearing strength is larger than the shearing strength threshold value, calculating the vertical gradient of the dissolved oxygen concentration of the vertical section based on the dissolved oxygen concentration of each measuring point; Comparing the vertical gradient of the dissolved oxygen concentration with a preset threshold value of the gradient of the dissolved oxygen concentration; when the vertical gradient of the dissolved oxygen concentration is simultaneously larger than the threshold value of the gradient of the dissolved oxygen concentration, the vertical section is judged to have a dynamic water quality interface which is dominant by the movement of the water body and continuously changes.
5. The complex water quality monitoring method based on vertical layering sensing according to claim 1, wherein S3 comprises: calculating a dissolved oxygen concentration gradient vertical distribution of the vertical section based on the dissolved oxygen concentration; extracting the depth corresponding to the maximum dissolved oxygen concentration gradient from the vertical distribution of the dissolved oxygen concentration gradient as the water front position, and extracting the maximum dissolved oxygen concentration gradient value at the depth as the water front strength; calculating a flow velocity vertical distribution of the vertical section based on the flow velocity and the flow direction; and calculating the flow velocity vertical gradient from the flow velocity vertical distribution, extracting the depth corresponding to the maximum position of the flow velocity vertical gradient as the position of the background hydrologic shear layer, and extracting the maximum flow velocity vertical gradient value at the depth as the background hydrologic shear strength.
6. The complex water quality monitoring method based on vertical layering sensing according to claim 1, wherein S4 comprises: judging whether the water quality frontal surface position is consistent with the background hydrologic shearing position; when the water front position is consistent with the background hydrologic shearing position, determining that the interaction mode is a power dominant mode, identifying the background hydrologic shearing position as a real-time space position of a dynamic water quality interface, and identifying the water shearing movement as a dominant evolution mechanism; when the water quality frontal surface position is inconsistent with the background hydrological shearing layer position, comparing the magnitude relation between the water quality frontal surface strength and the background hydrological shearing strength; If the change direction of the water front strength is opposite to the change direction of the background hydrologic shear strength, determining that the interaction mode is a front stabilizing mode, identifying the water front position as the real-time space position of a dynamic water quality interface, and identifying the front self-organization leading in the biochemical process as a leading evolution mechanism.
7. The complex water quality monitoring method based on vertical layering sensing according to claim 1, wherein S5 comprises: Selecting a corresponding tracking strategy based on a dominant evolution mechanism; When the dominant evolution mechanism is water shearing motion, a high-frequency tracking strategy is adopted, and a high-frequency control instruction for adjusting the depth of the sensor unit is generated based on the real-time space position of the dynamic water quality interface; When the dominant evolution mechanism is used for self-organizing a frontal surface dominant in the biochemical process, an adaptive tracking strategy is adopted, and an adaptive control instruction for adjusting the depth of the sensor unit is generated based on the real-time space position of the dynamic water quality interface; and driving corresponding sensor units in the intelligent sensor array to move to a real-time space position of the dynamic water quality interface according to the generated high-frequency control instruction or the self-adaptive control instruction, and performing vertical layered sensing at the real-time space position.
8. The method for monitoring the quality of the complex water body based on vertical layering sensing according to claim 7, wherein the generating of the high-frequency control instruction for adjusting the depth of the sensor unit by the real-time spatial position of the dynamic water quality interface comprises the following steps: Monitoring the moving track of the real-time space position of the dynamic water quality interface in a plurality of continuous monitoring periods; calculating the moving direction and the moving speed of the dynamic water quality interface according to the moving track; based on the moving direction and the moving speed, predicting the predicted position of the dynamic water quality interface in the next monitoring period; A high-frequency control command for driving the sensor unit to move to the predicted position is generated.
9. The method for monitoring the water quality of a complex water body based on vertical hierarchical sensing according to claim 7, wherein the adaptive control instruction for adjusting the depth of the sensor unit is generated based on the real-time spatial position of the dynamic water quality interface by adopting an adaptive tracking strategy, and comprises the following steps: monitoring the depth difference between the real-time space position of the dynamic water quality interface and the current position of the sensor unit; Judging whether the depth difference is larger than a preset depth deviation threshold value or not; when the depth difference is larger than the depth deviation threshold value, generating an adaptive control instruction for driving the sensor unit to move to a real-time space position at a preset rapid adjustment speed; When the depth difference is less than or equal to the depth deviation threshold, an adaptive control instruction is generated to drive the sensor unit to move to a real-time spatial position at a preset fine adjustment speed.
10. A complex water quality monitoring system based on vertical layered sensing for realizing the complex water quality monitoring method based on vertical layered sensing according to any one of claims 1 to 9, comprising the following modules: The parameter acquisition module synchronously acquires water quality parameters and corresponding dynamic environment parameters of each measuring point on a preset vertical section through the intelligent sensor array; the interface judging module is used for judging whether a dynamic water quality interface which is dominant by the water body motion and continuously changes exists in the vertical section or not based on the dynamic environment parameters; The parameter extraction module is used for extracting the characteristic parameters of the water quality frontal surface reflected by the water quality parameters and extracting the background hydrologic shearing parameters reflected by the dynamic environment parameters when the dynamic water quality interface is judged to exist; The mutual identification module is used for analyzing an interaction mode between the characteristic parameters of the frontal surface of the water quality and the shearing parameters of the background hydrology and identifying a real-time spatial position and a dominant evolution mechanism of a dynamic water quality interface based on the interaction mode; and the instruction driving module is used for generating a tracking control instruction according to the real-time spatial position of the dynamic water quality interface and the dominant evolution mechanism, and driving a sensing unit in the intelligent sensor array to perform tracking type vertical layering sensing on the dynamic water quality interface.

Description

Complex water quality monitoring method and system based on vertical layered sensing Technical Field The invention relates to the technical field of water quality monitoring and intelligent sensing, in particular to a complex water quality monitoring method and system based on vertical layered sensing. Background In the field of water environment monitoring, in order to master the vertical water quality structure of a water body, the prior art generally adopts a vertical layered sensing means, namely, sensor arrays which can be positioned at different depths are distributed in a target water area, or monitoring equipment is controlled to carry out vertical profile movement measurement, so that the distribution information of water quality parameters along with the change of depth is obtained. The method is based on the premise of measuring data of different depth points at fixed space positions, aims at reflecting the state of the section of the whole water layer through point measurement, and is a common technical approach for evaluating the chemical characteristics, biological activities and vertical migration of pollutants of the layered water body. However, the prior art scheme has the defect that the obtained vertical water quality data is seriously dependent on the fixed space position of the sensor at the measuring moment, in a complex water body which is obviously influenced by dynamic processes such as tidal, internal wave, unsteady flow and the like, physical and chemical properties carried by water mass points are not static, but continue to be transported in a advection or fluctuate in the vertical direction in space, so that the water quality parameter value measured on a certain fixed geographic coordinate and depth can only instantaneously represent water mass flowing through the point and a specific source, and the long-term state corresponding to a certain specific water layer or water quality characteristic cannot be stabilized, therefore, the vertical section and gradient information thereof reconstructed based on the measured data of the fixed space point are difficult to accurately analyze the evolution process of a real water layer interface or calculate the vertical substance flux, and the effective interpretation and application value of the monitored data are seriously restricted. Disclosure of Invention In order to overcome the defects in the prior art, the invention provides a complex water quality monitoring method and system based on vertical layered sensing, which are used for solving the problems in the background art. In order to achieve the above purpose, the present invention provides the following technical solutions: a complex water quality monitoring method based on vertical layered sensing comprises the following steps: S1, synchronously acquiring water quality parameters and corresponding dynamic environment parameters of each measuring point on a preset vertical section through an intelligent sensor array; s2, judging whether a dynamic water quality interface which is dominant by water movement and continuously changes exists in the vertical section based on the dynamic environment parameters; S3, when the dynamic water quality interface is judged to exist, extracting the characteristic parameters of the water quality frontal surface reflected by the water quality parameters, and extracting the background hydrologic shearing parameters reflected by the dynamic environment parameters; S4, analyzing an interaction mode between the characteristic parameters of the water front and the background hydrologic shearing parameters, and identifying a real-time spatial position and a dominant evolution mechanism of the dynamic water quality interface based on the interaction mode; S5, generating a tracking control instruction according to the real-time spatial position of the dynamic water quality interface and the dominant evolution mechanism, and driving a sensing unit in the intelligent sensor array to perform tracking type vertical layering sensing on the dynamic water quality interface. Further, S1 includes: arranging the intelligent sensor array at each measuring point of the vertical section according to a preset depth interval; and controlling each sensor unit in the intelligent sensor array to acquire synchronous data so as to obtain the water quality parameter and the power environment parameter of each measuring point at the same moment. Further, the dynamic environment parameters comprise the flow rate and the flow direction of the water body at each measuring point, and the water quality parameters comprise the concentration of dissolved oxygen, the concentration of chlorophyll and the concentration of nutrient salt. Further, S2 includes: Calculating the vertical shearing strength of the vertical section based on the flow velocity and the flow direction of the water body at each measuring point; Comparing the vertical shearing strength with a preset shearing strengt