CN-122007138-A - Polluted site restoration system and method based on artificial intelligence

CN122007138ACN 122007138 ACN122007138 ACN 122007138ACN-122007138-A

Abstract

The invention discloses a polluted site restoration system and method based on artificial intelligence, and relates to the technical field of environmental engineering. The system utilizes a flow field modulation injection subsystem to establish a physical flow field with specific carrier frequency to a stratum, acquires stratum response signals through a synchronous response monitoring subsystem, and executes cross-correlation phase-locking demodulation operation by an intelligent control terminal. The system extracts the characteristic parameters of the transmission time lag of the stratum response signals relative to the injection carrier wave, uses the characteristic parameters as the unique physical criteria for identifying the stratum runner type, switches the injection plugging material when the fracture short-circuit flow is judged, and switches the injection repairing agent when the matrix seepage flow is judged. The invention realizes the quantitative sensing and self-adaptive regulation and control of the underground micropore repairing state under the background of strong noise by establishing an active physical excitation and synchronous signal detection mechanism.

Inventors

WANG JUNJIE
Jia Erting
YAN RONG

Assignees

江苏实朴检测服务有限公司

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (8)

1. A contaminated site remediation system based on artificial intelligence comprising: The flow field modulation injection subsystem is configured to inject a fluid medium into a subterranean stratum and respond to an input modulation control signal to drive an actuating mechanism to periodically fluctuate the pressure or flow velocity of the fluid medium so as to establish a physical carrier flow field in the stratum; The synchronous response monitoring subsystem is arranged in the downstream influence area of the flow field modulation injection subsystem and is configured to continuously acquire stratum response signals of the physical carrier flow field after being transmitted by stratum medium; The intelligent control terminal is respectively in communication connection with the flow field modulation injection subsystem and the synchronous response monitoring subsystem; The intelligent control terminal is configured to perform the following operations: generating a reference signal, wherein the frequency of the reference signal is synchronous with the fluctuation frequency of the physical carrier flow field; performing phase-locked demodulation operation on the stratum response signal and the base reference signal to extract a transmission time lag characteristic parameter of the stratum response signal relative to the physical carrier flow field; identifying the type of the runner of the current stratum medium based on the transmission time lag characteristic parameters, and generating a feedback control instruction according to the identification result; the feedback control instruction is used for adjusting the type of the fluid medium injected by the flow field modulation injection subsystem.
2. The system of claim 1, wherein the intelligent control terminal is further configured to operate a spectrum optimization module: Before the flow field modulation injection subsystem is started, background noise data of the synchronous response monitoring subsystem are collected, and spectrum entropy of the background noise data is calculated; And selecting the frequency band center frequency with the lowest frequency spectrum entropy as the carrier frequency of the modulation control signal, and sending the carrier frequency to the flow field modulation injection subsystem.
3. The system of claim 1, wherein the flow field modulation injection subsystem actuator is a hydraulic pulse generating device; The hydraulic pulse generating device is configured to generate the physical carrier wave flow field with steep rising edges in the form of square waves or trapezoidal waves at the injection end by periodically switching the on-off state of the fluid passage or periodically adjusting the output pressure of the fluid source.
4. A system according to claim 3, wherein the hydraulic pulse generating means comprises in particular: A constant pressure fluid source for providing a steady fluid pressure; the three-way switching valve is provided with a liquid inlet, an injection port and a reflux port, wherein the liquid inlet is connected with the constant-pressure fluid source, the injection port is connected with a stratum injection well, and the reflux port is connected with a reflux container; The intelligent control terminal is configured to drive the three-way switching valve to rapidly switch between the connection of the injection port and the connection of the reflux port at the carrier frequency.
5. The system of claim 1, wherein the intelligent control terminal is configured to calculate a micropore communication efficacy index as a basis for drug infusion control; the micropore communication efficiency index is constructed based on the two-dimensional joint distribution of the amplitude of the stratum response signal and the transmission time lag characteristic parameter, and a mathematical model comprises: An amplitude saturation factor configured to exhibit a nonlinear saturation trend with increasing amplitude to suppress signal artifacts caused by high concentration accumulation; The phase matching factor is configured to take a preset target permeation time lag value as a center to present a band-pass filtering characteristic so as to screen signals in an effective micropore mass transfer interval; The pore connectivity effectiveness index is determined by the product of the amplitude saturation factor and the phase matching factor.
6. The system of claim 5, wherein the microporous communication efficacy index The specific calculation formula of (2) is as follows: , Wherein, the For the amplitude value of the signal to be described, To be the phase angle of the transmission time lag characteristic parameter, For a target phase angle corresponding to the target permeation time lag value, As a result of the global gain factor, In order to adjust the coefficient of sensitivity, Is a resonance bandwidth parameter.
7. The system of claim 1, further comprising a source side denoising circuit; the input end of the source end denoising circuit is coupled to a driving motor current loop of the flow field modulation injection subsystem and is used for collecting pumping driving current waveforms; the output end of the source end denoising circuit is coupled to the signal conditioning front end of the synchronous response monitoring subsystem; the source side denoising circuit is configured to invert and superimpose the pump drive current waveform on the analog front side of the formation response signal to cancel out homologous electromagnetic interference.
8. The polluted site restoration method based on artificial intelligence is characterized by comprising the following steps of: The flow field modulation injection subsystem is utilized to drive injection equipment to generate physical pressure pulse waves with specific carrier frequency, and the underground flow field is actively modulated; The method comprises the steps that a synchronous response monitoring subsystem is utilized to collect a downstream stratum response signal, and an intelligent control terminal is utilized to generate a reference signal synchronous with the carrier frequency; Performing phase locking demodulation on the stratum response signal and the reference signal, and extracting a transmission time lag characteristic parameter; The transmission time lag characteristic parameter is used as a physical fingerprint to distinguish the flow channel type, namely, the short-circuit flow is judged when the time lag indicated by the parameter approaches zero, and the seepage flow is judged when the time lag indicated by the parameter is in a preset interval; and executing closed-loop regulation according to the determined flow channel type, namely switching the injection medium to be a plugging material if the short-circuit flow is determined, and switching the injection medium to be a repairing medicament if the osmotic flow is determined.

Description

Polluted site restoration system and method based on artificial intelligence Technical Field The invention relates to the technical field of environmental engineering, in particular to a polluted site restoration system and method based on artificial intelligence. Background In-situ chemical oxidation or reduction remediation projects of groundwater and contaminated sites, the ubiquitous heterogeneity of the subsurface medium leads to a disconnection between physical transmission processes and information-aware data. At the physical level, the underground aquifer is generally composed of a high-permeability fracture network and low-permeability matrix micropores, and the repair agent under the drive of a constant flow field tends to quickly penetrate along fracture channels with minimum resistance to form dominant flow short circuits, so that pollutants in the matrix micropores cannot be effectively accessed. In the information layer, the existing monitoring means mainly rely on static measurement of solute concentration, and due to masking of environmental background noise and the multi-resolution of concentration readings, high concentration readings can be derived from a matrix permeation process of the medicament effectively diffusing to a monitoring point or a short-circuit process of the medicament directly reaching the monitoring point along cracks. The monitoring data cannot truly reflect the phenomenon of physical flow passage properties, so that a control system is difficult to accurately judge the actual state of a stratum, and therefore a correct decision cannot be made between medicine injection and plugging, the repairing medicine is caused to be lost ineffectively along a short-circuit passage, and pollutants in micropores are released continuously after repairing is finished to cause rebound. Disclosure of Invention The invention provides a contaminated site restoration system and method based on artificial intelligence, which aim to solve the technical problem that the conventional in-situ restoration technology cannot accurately control heterogeneous stratum because crack short-circuit flows and matrix seepage flows cannot be distinguished by utilizing static monitoring data under a strong noise background. In view of the foregoing, in a first aspect, the present invention provides an artificial intelligence-based contaminated site remediation system, comprising: The flow field modulation injection subsystem is configured to inject a fluid medium into a subterranean stratum and respond to an input modulation control signal to drive an actuating mechanism to periodically fluctuate the pressure or flow velocity of the fluid medium so as to establish a physical carrier flow field in the stratum; The synchronous response monitoring subsystem is arranged in the downstream influence area of the flow field modulation injection subsystem and is configured to continuously acquire stratum response signals of the physical carrier flow field after being transmitted by stratum medium; The intelligent control terminal is respectively in communication connection with the flow field modulation injection subsystem and the synchronous response monitoring subsystem; The intelligent control terminal is configured to perform the following operations: generating a reference signal, wherein the frequency of the reference signal is synchronous with the fluctuation frequency of the physical carrier flow field; performing phase-locked demodulation operation on the stratum response signal and the base reference signal to extract a transmission time lag characteristic parameter of the stratum response signal relative to the physical carrier flow field; identifying the type of the runner of the current stratum medium based on the transmission time lag characteristic parameters, and generating a feedback control instruction according to the identification result; the feedback control instruction is used for adjusting the type of the fluid medium injected by the flow field modulation injection subsystem. In a second aspect, the invention also provides a polluted site restoration method based on artificial intelligence, which comprises the following steps: The flow field modulation injection subsystem is utilized to drive injection equipment to generate physical pressure pulse waves with specific carrier frequency, and the underground flow field is actively modulated; The method comprises the steps that a synchronous response monitoring subsystem is utilized to collect a downstream stratum response signal, and an intelligent control terminal is utilized to generate a reference signal synchronous with the carrier frequency; Performing phase locking demodulation on the stratum response signal and the reference signal, and extracting a transmission time lag characteristic parameter; The transmission time lag characteristic parameter is used as a physical fingerprint to distinguish the flow channel type, namely, the short-ci