CN116894747A - Monitoring system for investigation of groundwater environment of polluted site - Google Patents
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Abstract
The invention belongs to the technical field of groundwater environment investigation, and discloses a monitoring system for groundwater environment investigation of a pollution site, which is realized by a water level measuring module, a sample collecting module, a sample detecting module and a data processing module. The system monitors the groundwater level change in real time through the water level measuring module, the sample collecting module automatically collects groundwater samples, the sample detecting module detects the samples, and a detection report is generated. The main control module controls the work of each module, and the data processing module processes, analyzes and predicts the collected data. Through automatic acquisition and detection, real-time monitoring and data processing. The invention improves the accuracy, efficiency and operability of the investigation of the groundwater environment of the polluted site. The application of the functions of real-time monitoring, automatic sampling, intelligent analysis, prediction and the like enables the investigation process to be more scientific, comprehensive and reliable, and provides powerful support for environmental condition evaluation, prediction analysis and risk assessment.
Description
Technical Field
The invention belongs to the technical field of groundwater environment investigation, and particularly relates to a monitoring system for pollution site groundwater environment investigation.
Background
Pollution site groundwater environment investigation is a process of acquiring data related to evaluation and prediction of site groundwater environment conditions. The current main method for the investigation of the groundwater environment of the polluted site is site investigation, sampling and sample feeding detection, and the acquired data comprise hydrogeological condition data (water level, hydrogeological parameters, lithology structure, aquifer characteristics and the like), potential pollution sources, pollution paths, soil pollution data, groundwater quality data (basic water chemistry data and pollutant data) and the like of the site, so that environmental condition evaluation, predictive analysis and risk evaluation are further carried out. The investigation and acquisition of the groundwater level burial depth and groundwater quality data are core contents. The existing pollution site groundwater environment investigation sampling is mainly discontinuous investigation, the influence of the underground water level burial depth variation of the pollution site on investigation data is less considered, real-time tracking monitoring and online analysis are not carried out according to the water level variation, and the accuracy and the efficiency of the pollution site groundwater environment investigation are affected. These problems limit investigation accuracy and efficiency and require improvement and optimization in new monitoring systems.
Through the above analysis, the problems and defects existing in the prior art are as follows:
(1) The existing pollution site groundwater environment investigation mainly adopts a discontinuous investigation method, namely, data is acquired by means of periodic sampling and sample feeding detection. The method can not realize continuous automatic monitoring and real-time analysis of the ground groundwater condition, and limits accurate grasp of the ground water dynamic change.
(2) The existing investigation monitoring system does not fully consider the dynamic change of the ground water level burial depth, especially under the condition that the water level burial depth is changed greatly. This can affect the accuracy and reliability of the survey data, as changes in groundwater level can lead to changes in hydrogeologic conditions, which in turn affect the migration and distribution of contaminants.
(3) The existing system lacks real-time tracking monitoring and online analysis functions in the investigation of the groundwater environment of the polluted site. This means that the trend of the groundwater level and water quality data cannot be acquired in time.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides a monitoring system for investigation of the groundwater environment of a polluted site.
The invention is realized in that a monitoring system for investigation of groundwater environment of a contaminated site comprises:
intelligent water level measuring module: the system is connected with the main control module, adopts a sensor technology to measure the underground water level of the polluted site in real time, automatically monitors the water level change, and transmits data to the main control module;
automated sample collection module: the system is connected with a main control module, and uses a mechanical arm or an automatic sampler to automatically collect underground water samples of a polluted site according to a preset sampling strategy and sampling points and control the water pumping amount and the sampling time in the sampling process;
and the main control module: the water level measuring module, the sample collecting module, the sample detecting module, the detecting data storing and predicting module, the sample storing module and the display module are connected, so that the intelligent control function is realized, and the operation and coordination data transmission of each module are managed;
intelligent sample detection module: the system is connected with a main control module, and is used for comprehensively analyzing and detecting underground water samples in a polluted site, monitoring pH value, dissolved oxygen and conductivity parameters in real time and generating detailed detection reports;
detection data storage and prediction module: the system is connected with the main control module and is used for storing detection data, carrying out data analysis and prediction, processing the acquired data by using a machine learning algorithm, identifying potential pollution sources and trends and predicting possible pollution diffusion conditions;
and a display module: the system is connected with the main control module and is used for displaying real-time water level data, detection results and prediction information and providing an intuitive data display interface so that a user can monitor the condition of the groundwater environment in real time;
long-term stability monitoring module: the sensor and the equipment are subjected to self-checking at regular intervals, and any potential faults or abnormal conditions are detected, so that maintenance and repair can be performed in time, and the accuracy and reliability of the system are ensured;
a data analysis and decision support module: the monitoring data is deeply analyzed and interpreted by utilizing a data analysis technology and a modeling method, so that a data visualization report, trend analysis and risk assessment are generated, and scientific basis and decision support are provided for a decision maker.
Further, the method for generating the detection report comprises the following steps:
1) Generating a first template file with a frame, wherein the template file comprises character contents distributed according to rules and position identifiers arranged among the character contents, and the position identifiers are used for inserting parameters, detection results and external input data;
2) The method comprises the steps of acquiring parameters and detection results by calling sample detection equipment, and storing the parameters and the detection results under a specified path so as to be inserted into a detection report subsequently;
3) Inserting the acquired parameters and the detection result into the corresponding positions of the first template file to generate a second template file, wherein the position identifier is used for accurately inserting the parameters and the detection result, so that the correct corresponding relation of the data is ensured;
4) Receiving additional information and remark data input by a user, and storing external input data under a second designated path so as to be inserted into a detection report subsequently;
5) Inserting externally input data into a designated position of a second template file to generate a final detection report, wherein an editable mark in a framework is used for identifying and inserting the externally input data, so that the correctness and the integrity of the data are ensured;
6) Matrices can be added among text contents of different paragraphs arranged in the framework, and each subarray is provided with a fixed identifier for inserting parameters and detection results, so that the paragraph structure and content typesetting of the report can be customized according to requirements.
Further, the water level measuring module measures the following steps:
(1) Presetting, namely placing a measurer for measuring the groundwater level of the polluted site at the center of a wellhead of an observation well; the method comprises the steps of lowering, freely lowering the measurer into a well through a connecting wire which is electrically connected with the measurer and is used for transmitting signals, recording the lowering length H2 of the connecting wire when the measurer touches the underground water surface of a polluted site, wherein the length of the measurer is known as H1, and the underground water level buried depth of the polluted site is the depth of the underground water surface of the polluted site from a wellhead, namely, the underground water level buried depth H=h1+h2 of the polluted site;
(2) Stopping the lowering, after the measurer touches the underground water surface of the polluted site, continuing to lower the measurer until the measurer is positioned a certain distance below the water surface, stopping the lowering, obtaining the distance of the measurer below the water surface according to the water pressure value measured by the measurer, and recording the distance as h3; when the underground water level of the polluted site is buried, the water pressure value measured by the measurer is reduced, the measurer is continuously lowered until the distance of the measurer below the water surface is H3, the continuous lowering length delta H2 of the connecting wire is recorded, and at the moment, the underground water level of the polluted site is buried at the depth of H=h1+h2+ [ delta ] H2;
(3) When the buried depth of the underground water level of the polluted site rises, the water pressure value measured by the measurer becomes larger, and the distance delta H3 of the measurer below the water surface is obtained according to the changed water pressure value, wherein the buried depth of the underground water level of the polluted site is H=h1+h2+h3-delta H3.
Further, when the buried depth of the ground water level of the contaminated site is reduced but not lower than the measurer, the water pressure value measured by the measurer is reduced but greater than zero, and the distance delta H3 of the measurer below the water surface is obtained according to the changed water pressure value, wherein the buried depth of the ground water level of the contaminated site is H=h1+h2+h3-delta H3.
Further, the caliber comprises a caliber shell, an electric wire sealing cover, a water pressure sensor and a water sensor, wherein the electric wire sealing cover is arranged at the top of the caliber shell, the water pressure sensor is arranged at the bottom of the caliber shell, and the water sensor is arranged at the bottom of the water pressure sensor.
Further, the connecting wire passes through the wire sealing cover and is electrically connected with the water pressure sensor and the water sensor;
the water pressure sensor is fixedly connected with a main circuit board, and the main circuit board is electrically connected with the connecting wire;
the pressure sensor is internally provided with a pressure sensing piece, and the pressure sensing piece is electrically connected with the main circuit board;
the side wall of the water pressure sensor is provided with 4 water permeable holes, and the axes of the adjacent water permeable holes are mutually perpendicular;
a circuit board is arranged in the water sensor and is electrically connected with the main circuit board;
the circuit board is electrically connected with a first electrode probe and a second electrode probe, and the free end of the first electrode probe and the free end of the second electrode probe penetrate out of the surface of the water-sensitive sensor;
insulating sealing rings are arranged between the surfaces of the first electrode probe, the second electrode probe and the water-sensitive sensor.
Further, the detection data storage and prediction module predicts the following method:
1) Storing the water quality detection data into a ground water monitoring data storage module to form field ground water history sequence data; acquiring a first predicted value of the underground water quality to be predicted by utilizing an ARIMA autoregressive integral moving average model based on the historical time series data of the underground water quality to be predicted; acquiring a second predicted value of the underground water quality to be predicted by using a BP neural network model based on the historical meteorological factor time sequence data of the pollution site to be predicted and the historical time sequence data of the underground water quality to be predicted;
2) Adding the value of the first predicted value of the underground water quality to be predicted and the value of the second predicted value of the underground water quality to be predicted at each time point to be predicted to obtain an underground water quality prediction result of the pollution site to be predicted;
wherein the obtaining the second predicted value of the groundwater quality to be predicted further comprises:
based on historical time series data of the underground water quality to be predicted, training by utilizing an ARIMA autoregressive integral moving average model to obtain an underground water quality linear data prediction model; based on input data of the underground water quality to be predicted, acquiring a first predicted value of the underground water quality to be predicted by using the linear data prediction model of the underground water quality;
based on historical time series data of underground water quality to be predicted, training by using an LM-BP neural network model to obtain an underground water quality nonlinear data prediction model; acquiring a second predicted value of the underground water quality to be predicted by using the nonlinear data prediction model of the underground water quality based on the input data of the meteorological factor time series data of the pollution site to be predicted;
wherein, based on the historical time series data of the underground water quality to be predicted, the step of obtaining the linear data prediction model of the underground water quality by training by utilizing the ARIMA autoregressive integral moving average model further comprises the following steps:
judging the stability of historical time series data of the underground water quality to be predicted: d times of differential treatment are carried out, and an ARIMA (p, d, q) autoregressive integral moving average model is established; calculating coefficients and orders of the ARIMA (p, q) autoregressive integral moving average model; calculating parameters of the ARIMA autoregressive integral moving average model;
wherein p is an autoregressive term; MA is moving average, q is moving average term number, d is difference number made when time sequence becomes stable.
Further, the step of training to obtain the non-linear data prediction model of the underground water quality by utilizing the BP neural network model based on the historical meteorological factor time series data of the pollution site to be predicted and the historical time series data of the underground water quality to be predicted further comprises the following steps:
and repeatedly adjusting and training the weight and the deviation of the BP neural network model by using a back propagation algorithm based on the historical meteorological factor time sequence data of the pollution site to be predicted and the historical time sequence data of the underground water quality to be predicted, and storing the weight and the deviation of the BP neural network model when the square sum of errors of network output layers is smaller than a threshold value.
Further, the method further comprises: and deleting the historical meteorological factor time series data of the pollution site to be predicted and the vacancy value in the historical time series data of the underground water quality to be predicted.
Further, the ARIMA autoregressive integral moving average model further includes, after the step of calculating parameters of the ARIMA autoregressive integral moving average model: and combining error data in the ARIMA autoregressive integral moving average model establishing process with the historical meteorological factor time sequence data of the pollution site to be predicted, and acquiring a second predicted value of the underground water quality to be predicted by using an LM-BP neural network model.
Further, the step of training to obtain the linear data prediction model of the underground water quality by utilizing the ARIMA autoregressive integral moving average model based on the historical time series data of the underground water quality to be predicted further comprises the following steps:
adopting ADF unit root test to judge the stability of the historical time series data of the underground water quality to be predicted: d times of differential treatment are carried out, and an ARIMA (p, d, q) autoregressive integral moving average model is established;
calculating coefficients and orders of the ARIMA (p, q) autoregressive integral moving average model by using an autocorrelation function and a partial autocorrelation function; and calculating parameters of the ARIMA autoregressive integral moving average model by using a least square method.
In combination with the technical scheme and the technical problems to be solved, the technical scheme to be protected has the following advantages and positive effects:
(1) The invention has the capability of monitoring the change of the underground water level in real time, and can continuously acquire the underground water level data through the water level measuring module. This helps to capture dynamic changes in groundwater level, providing key hydrogeologic condition data, making survey data more accurate and reliable.
(2) The sampling process is automated through the sample collection module, and a plurality of monitoring points can be set on a polluted site and drilling and sampling can be carried out. This reduces the reliance and error of manual operation and improves the accuracy and efficiency of sampling.
(3) The main control module is connected with each sub-module to realize comprehensive monitoring and data management. The system can integrate and manage functions of water level, sample collection, sample detection, storage and prediction of detection data and the like, and realizes comprehensive control of the whole investigation process.
(4) The system can integrate an intelligent module, such as a data analysis and decision support module, and utilizes advanced data analysis technology and a prediction model to carry out deep analysis and prediction on the monitored data. The method is helpful for identifying pollution sources, evaluating risks, providing scientific basis and decision support, and improving the accuracy and feasibility of investigation.
(5) The system can automatically generate a detection report through the sample detection module and the detection data storage and prediction module. This reduces the effort and time for manually writing reports and ensures consistency and standardization of reports.
Further summarizing, the scheme adopted by the invention can improve the accuracy, efficiency and operability of the investigation of the groundwater environment of the polluted site. The application of the functions of real-time monitoring, automatic sampling, intelligent analysis, prediction and the like enables the investigation process to be more scientific, comprehensive and reliable, and provides powerful support for environmental condition evaluation, prediction analysis and risk assessment.
Drawings
FIG. 1 is a block diagram of a monitoring system for investigation of a groundwater environment in a contaminated site according to an embodiment of the invention;
FIG. 2 is a flow chart of a measuring method of a water level measuring module according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for storing detection data and predicting a prediction module according to an embodiment of the present invention;
in fig. 1: 1. a water level measurement module; 2. a sample collection module; 3. a main control module; 4. a sample detection module; 5. the detection data storage and prediction module; 6. and a display module.
Detailed Description
The present invention will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, a monitoring system for investigating a groundwater environment in a contaminated site according to an embodiment of the present invention includes: the system comprises a water level measuring module 1, a sample collecting module 2, a main control module 3, a sample detecting module 4, a detecting data storing and predicting module 5 and a display module 6;
the water level measuring module 1 is connected with the main control module 2 and is used for measuring the groundwater level of the polluted site;
the sample collection module 2 is connected with the main control module 2 and is used for collecting underground water samples of the polluted site;
the sample collection module collection method comprises the following steps:
determining the position of a pollution field, and setting a plurality of monitoring points in the pollution field;
drilling holes on the monitoring points through a drilling machine, and obtaining underground water samples through a water pumping pipe;
the main control module 3 is connected with the water level measuring module 1, the sample collecting module 2, the sample detecting module 4, the detecting data storing and predicting module 5 and the display module 6 and is used for controlling the normal work of each module;
the sample detection module 4 is connected with the main control module and is used for detecting the underground water sample of the polluted site and generating a detection report;
the method for generating the detection report comprises the following steps:
generating a first template file with a frame; invoking parameters and detection results of sample detection equipment; the parameters and the detection results are used for being inserted into corresponding positions in the frame, so that the first template file is changed into a second template file; receiving external input data; the external input data is used for being input to a designated position in the second template file to generate a detection report;
the frame comprises text contents distributed according to rules and position marks arranged among the text contents; the position identifier is used for inserting parameters, detection results and external input data;
before the parameters and the detection results of the sample detection equipment are called, the parameters and the detection results are stored in a designated path; the external input data is stored under a second appointed path; the position identifier comprises a fixed identifier for inserting data in the first path and an editable identifier for inserting data in the second path;
the frame also comprises a matrix arranged among the text contents of different paragraphs; each subarray of the matrix is provided with a fixed mark; parameters and detection results are inserted into the fixed mark;
the detection data storage and prediction module 5 is connected with the main control module 2 and is used for storing detection data of underground water samples of the polluted site and predicting water quality based on the water quality historical sequence data obtained by monitoring;
the display module 6 is connected with the main control module 2 and is used for displaying parameter designs such as sampling frequency, sample types and the like, selecting and displaying water level, detection results and sample quantity.
As shown in fig. 2, the measuring method of the water level measuring module provided by the invention is as follows:
s101, presetting, namely placing a measurer for measuring the groundwater level of a polluted site at the center of a wellhead of an observation well; the method comprises the steps of lowering, freely lowering the measurer into a well through a connecting wire which is electrically connected with the measurer and is used for transmitting signals, recording the lowering length H2 of the connecting wire when the measurer touches the underground water surface of a polluted site, wherein the length of the measurer is known as H1, and the underground water level buried depth of the polluted site is the depth of the underground water surface of the polluted site from a wellhead, namely, the underground water level buried depth H=h1+h2 of the polluted site;
s102, stopping the lowering, after the measurer touches the underground water surface of the polluted site, continuing to lower the measurer until the measurer is positioned a certain distance below the water surface, stopping the lowering, obtaining the distance of the measurer below the water surface according to the water pressure value measured by the measurer, and recording the distance as h3; when the underground water level of the polluted site is buried, the water pressure value measured by the measurer is reduced, the measurer is continuously lowered until the distance of the measurer below the water surface is H3, the continuous lowering length delta H2 of the connecting wire is recorded, and at the moment, the underground water level of the polluted site is buried at the depth of H=h1+h2+ [ delta ] H2;
and S103, when the buried depth of the underground water level of the polluted site rises, the water pressure value measured by the measurer becomes larger, and the distance delta H3 of the measurer below the water surface is obtained according to the changed water pressure value, wherein the buried depth of the underground water level of the polluted site is H=h1+h2+h3-delta H3.
When the buried depth of the underground water level of the polluted site is reduced but not lower than the measurer, the water pressure value measured by the measurer is reduced but is larger than zero, and the distance delta H3 of the measurer below the water surface is obtained according to the changed water pressure value, wherein the buried depth of the underground water level of the polluted site is H=h1+h2+h3-delta H3.
The measurer provided by the invention comprises a measurer shell, an electric wire sealing cover, a water pressure sensor and a water sensor, wherein the electric wire sealing cover is arranged at the top of the measurer shell, the water pressure sensor is arranged at the bottom of the measurer shell, and the water sensor is arranged at the bottom of the water pressure sensor.
The connecting wire provided by the invention passes through the wire sealing cover and is electrically connected with the water pressure sensor and the water sensor;
the water pressure sensor is fixedly connected with a main circuit board, and the main circuit board is electrically connected with the connecting wire;
the pressure sensor is internally provided with a pressure sensing piece, and the pressure sensing piece is electrically connected with the main circuit board;
the side wall of the water pressure sensor is provided with 4 water permeable holes, and the axes of the adjacent water permeable holes are mutually perpendicular;
a circuit board is arranged in the water sensor and is electrically connected with the main circuit board;
the circuit board is electrically connected with a first electrode probe and a second electrode probe, and the free end of the first electrode probe and the free end of the second electrode probe penetrate out of the surface of the water-sensitive sensor;
insulating sealing rings are arranged between the surfaces of the first electrode probe, the second electrode probe and the water-sensitive sensor.
As shown in fig. 3, the method for storing detection data and predicting the detection data provided by the invention comprises the following steps:
s201, storing water quality detection data into a ground water monitoring data storage module to form field ground water history sequence data; acquiring a first predicted value of the underground water quality to be predicted by utilizing an ARIMA autoregressive integral moving average model based on the historical time series data of the underground water quality to be predicted; acquiring a second predicted value of the underground water quality to be predicted by using a BP neural network model based on the historical meteorological factor time sequence data of the pollution site to be predicted and the historical time sequence data of the underground water quality to be predicted;
s202, adding the value of the first predicted value of the underground water quality to be predicted and the value of the second predicted value of the underground water quality to be predicted at each time point to be predicted to obtain an underground water quality prediction result of the pollution site to be predicted;
wherein the obtaining the second predicted value of the groundwater quality to be predicted further comprises:
based on historical time series data of the underground water quality to be predicted, training by utilizing an ARIMA autoregressive integral moving average model to obtain an underground water quality linear data prediction model; based on input data of the underground water quality to be predicted, acquiring a first predicted value of the underground water quality to be predicted by using the linear data prediction model of the underground water quality;
based on historical time series data of underground water quality to be predicted, training by using an LM-BP neural network model to obtain an underground water quality nonlinear data prediction model; acquiring a second predicted value of the underground water quality to be predicted by using the nonlinear data prediction model of the underground water quality based on the input data of the meteorological factor time series data of the pollution site to be predicted;
wherein, based on the historical time series data of the underground water quality to be predicted, the step of obtaining the linear data prediction model of the underground water quality by training by utilizing the ARIMA autoregressive integral moving average model further comprises the following steps:
judging the stability of historical time series data of the underground water quality to be predicted: d times of differential treatment are carried out, and an ARIMA (p, d, q) autoregressive integral moving average model is established; calculating coefficients and orders of the ARIMA (p, q) autoregressive integral moving average model; calculating parameters of the ARIMA autoregressive integral moving average model;
wherein p is an autoregressive term; MA is moving average, q is moving average term number, d is difference number made when time sequence becomes stable.
The step of training to obtain the underground water quality nonlinear data prediction model by utilizing the BP neural network model based on the historical meteorological factor time sequence data of the pollution site to be predicted and the historical time sequence data of the underground water quality to be predicted, which is provided by the invention, further comprises the following steps of:
and repeatedly adjusting and training the weight and the deviation of the BP neural network model by using a back propagation algorithm based on the historical meteorological factor time sequence data of the pollution site to be predicted and the historical time sequence data of the underground water quality to be predicted, and storing the weight and the deviation of the BP neural network model when the square sum of errors of network output layers is smaller than a threshold value.
The method provided by the invention further comprises the following steps: and deleting the historical meteorological factor time series data of the pollution site to be predicted and the vacancy value in the historical time series data of the underground water quality to be predicted.
The ARIMA autoregressive integral moving average model provided by the invention further comprises the following steps of: and combining error data in the ARIMA autoregressive integral moving average model establishing process with the historical meteorological factor time sequence data of the pollution site to be predicted, and acquiring a second predicted value of the underground water quality to be predicted by using an LM-BP neural network model.
The step of obtaining the linear data prediction model of the underground water quality by training based on the historical time series data of the underground water quality to be predicted by utilizing the ARIMA autoregressive integral moving average model provided by the invention further comprises the following steps:
adopting ADF unit root test to judge the stability of the historical time series data of the underground water quality to be predicted: d times of differential treatment are carried out, and an ARIMA (p, d, q) autoregressive integral moving average model is established;
calculating coefficients and orders of the ARIMA (p, q) autoregressive integral moving average model by using an autocorrelation function and a partial autocorrelation function; and calculating parameters of the ARIMA autoregressive integral moving average model by using a least square method.
When the invention works, firstly, the water level of the underground water of the polluted site is measured by the water level measuring module 1; collecting a ground water sample of the polluted site through a sample collecting module 2; secondly, the main control module 3 detects the underground water sample of the polluted site through the sample detection module 4; generating a polluted site groundwater sample detection report through a detection report generation module 5; storing the detection data of the underground water sample of the polluted site through a detection data storage and prediction module 6; then, preserving the ground water sample of the polluted site through a sample preservation module 7; finally, parameters such as sampling frequency, sample category and the like are displayed, and the water level, the detection result and the number of samples are selected and displayed through the display module 8.
The embodiment of the invention can also adopt the following scheme:
(a) The system acquires the underground water level signal of the polluted site through the water level measuring module. The module may use sensor technology to collect changes in groundwater level in real time.
(b) The main control module receives and records the groundwater level data collected by the water level measuring module. It also receives sample test result data from the sample test module and stores the data in a suitable memory device, such as a database or data storage.
(c) The main control module is responsible for processing and analyzing the collected underground water level data. This may include data filtering, data correction, and exception data handling, among others. The master control module may also apply data analysis algorithms and models to further process and analyze the groundwater level data to extract useful information and insight.
(d) The parameters and the detection result data collected by the sample detection module are inserted into the appointed position of the detection report template. The main control module corresponds the parameters and the detection result data to the position identification in the report template, so that the correct insertion of the data is ensured.
(e) The detection data storage and prediction module can predict and model the collected groundwater level data. The module may analyze the water level data using machine learning, statistical analysis, or other predictive models, identify potential sources and trends of pollution, and predict likely pollution diffusion.
(f) The display module is responsible for visually presenting the processed and analyzed data to a user. This may include displaying in real time the groundwater level change curve, the water quality data trend graph and the generation of detection reports. The display module can display data and results in an easy-to-understand mode, and is convenient for a user to monitor and make decisions.
It should be noted that the embodiments of the present invention can be realized in hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or special purpose design hardware. Those of ordinary skill in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such as provided on a carrier medium such as a magnetic disk, CD or DVD-ROM, a programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The device of the present invention and its modules may be implemented by hardware circuitry, such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., as well as software executed by various types of processors, or by a combination of the above hardware circuitry and software, such as firmware.
According to the method, the water level measurement module is used for dynamically tracking the underground water level buried depth of the polluted site in real time, after the measurer is contacted with the water surface, signals are fed back by the connecting wires, data of the underground water level buried depth of the polluted site are obtained according to the descending length of the connecting wires, the measurer is immersed into the underground water of the polluted site for a certain distance, when the underground water level buried depth of the polluted site descends, the measurer is continuously lowered until the measurer is immersed into the underground water of the polluted site for a certain distance again, the data of the underground water level buried depth of the descended polluted site are obtained through calculation according to the continuous descending length of the connecting wires, when the underground water level buried depth of the polluted site ascends, the data of the underground water level buried depth of the ascending polluted site is obtained according to the height of the measurer from the water surface, and the underground water level buried depth measurement method of the polluted site can accurately and dynamically track and real-time changes of the underground water level buried depth of the polluted site; meanwhile, the detection data storage and prediction module accurately predicts the underground water quality time series data by using a method of combining an ARIMA autoregressive integral moving average model with a BP neural network.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the invention is not limited thereto, but any modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present invention will be apparent to those skilled in the art within the scope of the present invention.
Claims (10)
1. A monitoring system for use in a contaminated site groundwater environment investigation, comprising:
intelligent water level measuring module: the system is connected with the main control module, adopts a sensor technology to measure the underground water level of the polluted site in real time, automatically monitors the water level change, and transmits data to the main control module;
automated sample collection module: the system is connected with a main control module, and uses a mechanical arm or an automatic sampler to automatically collect underground water samples of a polluted site according to a preset sampling strategy and sampling points and control the water pumping amount and the sampling time in the sampling process;
and the main control module: the water level measuring module, the sample collecting module, the sample detecting module, the detecting data storing and predicting module, the sample storing module and the display module are connected, so that the intelligent control function is realized, and the operation and coordination data transmission of each module are managed;
intelligent sample detection module: the system is connected with a main control module, and is used for comprehensively analyzing and detecting underground water samples in a polluted site, monitoring pH value, dissolved oxygen and conductivity parameters in real time and generating detailed detection reports;
detection data storage and prediction module: the system is connected with the main control module and is used for storing detection data, carrying out data analysis and prediction, processing the acquired data by using a machine learning algorithm, identifying potential pollution sources and trends and predicting possible pollution diffusion conditions;
and a display module: the system is connected with the main control module and is used for displaying real-time water level data, detection results and prediction information and providing an intuitive data display interface so that a user can monitor the condition of the groundwater environment in real time;
long-term stability monitoring module: the sensor and the equipment are subjected to self-checking at regular intervals, and any potential faults or abnormal conditions are detected, so that maintenance and repair can be performed in time, and the accuracy and reliability of the system are ensured;
a data analysis and decision support module: the monitoring data is deeply analyzed and interpreted by utilizing a data analysis technology and a modeling method, so that a data visualization report, trend analysis and risk assessment are generated, and scientific basis and decision support are provided for a decision maker.
2. The monitoring system for contaminated site groundwater environment investigation of claim 1, wherein the method of generating a detection report comprises:
1) Generating a first template file with a frame, wherein the template file comprises character contents distributed according to rules and position identifiers arranged among the character contents, and the position identifiers are used for inserting parameters, detection results and external input data;
2) The method comprises the steps of acquiring parameters and detection results by calling sample detection equipment, and storing the parameters and the detection results under a specified path so as to be inserted into a detection report subsequently;
3) Inserting the acquired parameters and the detection result into the corresponding positions of the first template file to generate a second template file, wherein the position identifier is used for accurately inserting the parameters and the detection result, so that the correct corresponding relation of the data is ensured;
4) Receiving additional information and remark data input by a user, and storing external input data under a second designated path so as to be inserted into a detection report subsequently;
5) Inserting externally input data into a designated position of a second template file to generate a final detection report, wherein an editable mark in a framework is used for identifying and inserting the externally input data, so that the correctness and the integrity of the data are ensured;
6) Matrices can be added among text contents of different paragraphs arranged in the framework, and each subarray is provided with a fixed identifier for inserting parameters and detection results, so that the paragraph structure and content typesetting of the report can be customized according to requirements.
3. The monitoring system for investigation of a contaminated site groundwater environment according to claim 1, wherein the water level measuring module measures the following:
(1) Presetting, namely placing a measurer for measuring the groundwater level of the polluted site at the center of a wellhead of an observation well; the method comprises the steps of lowering, freely lowering the measurer into a well through a connecting wire which is electrically connected with the measurer and is used for transmitting signals, recording the lowering length H2 of the connecting wire when the measurer touches the underground water surface of a polluted site, wherein the length of the measurer is known as H1, and the underground water level buried depth of the polluted site is the depth of the underground water surface of the polluted site from a wellhead, namely, the underground water level buried depth H=h1+h2 of the polluted site;
(2) Stopping the lowering, after the measurer touches the underground water surface of the polluted site, continuing to lower the measurer until the measurer is positioned a certain distance below the water surface, stopping the lowering, obtaining the distance of the measurer below the water surface according to the water pressure value measured by the measurer, and recording the distance as h3; when the underground water level of the polluted site is buried, the water pressure value measured by the measurer is reduced, the measurer is continuously lowered until the distance of the measurer below the water surface is H3, the continuous lowering length delta H2 of the connecting wire is recorded, and at the moment, the underground water level of the polluted site is buried at the depth of H=h1+h2+ [ delta ] H2;
(3) When the buried depth of the underground water level of the polluted site rises, the water pressure value measured by the measurer becomes larger, and the distance delta H3 of the measurer below the water surface is obtained according to the changed water pressure value, wherein the buried depth of the underground water level of the polluted site is H=h1+h2+h3-delta H3.
4. The monitoring system for investigating a groundwater environment in a contaminated site according to claim 3, wherein when the buried depth of the groundwater in the contaminated site is reduced but not lower than the measurer, the water pressure value measured by the measurer is reduced but greater than zero, and a distance Δh3 of the measurer below the water surface is obtained according to the changed water pressure value, and at this time, the buried depth of the groundwater in the contaminated site is h=h1+h2+h3- Δh3;
the measurer comprises a measurer shell, an electric wire sealing cover, a water pressure sensor and a water sensor, wherein the electric wire sealing cover is arranged at the top of the measurer shell, the water pressure sensor is arranged at the bottom of the measurer shell, and the water sensor is arranged at the bottom of the water pressure sensor.
5. The monitoring system for investigation of a contaminated site groundwater environment according to claim 3, wherein the connecting wire is electrically connected to the water pressure sensor and the water sensitive sensor through the wire sealing cover;
the water pressure sensor is fixedly connected with a main circuit board, and the main circuit board is electrically connected with the connecting wire;
the pressure sensor is internally provided with a pressure sensing piece, and the pressure sensing piece is electrically connected with the main circuit board;
the side wall of the water pressure sensor is provided with 4 water permeable holes, and the axes of the adjacent water permeable holes are mutually perpendicular;
a circuit board is arranged in the water sensor and is electrically connected with the main circuit board;
the circuit board is electrically connected with a first electrode probe and a second electrode probe, and the free end of the first electrode probe and the free end of the second electrode probe penetrate out of the surface of the water-sensitive sensor;
insulating sealing rings are arranged between the surfaces of the first electrode probe, the second electrode probe and the water-sensitive sensor.
6. The monitoring system for contaminated site groundwater environment investigation according to claim 1, wherein the detection data storage and prediction module predicts the method as follows:
1) Storing the water quality detection data into a ground water monitoring data storage module to form field ground water history sequence data; acquiring a first predicted value of the underground water quality to be predicted by utilizing an ARIMA autoregressive integral moving average model based on the historical time series data of the underground water quality to be predicted; acquiring a second predicted value of the underground water quality to be predicted by using a BP neural network model based on the historical meteorological factor time sequence data of the pollution site to be predicted and the historical time sequence data of the underground water quality to be predicted;
2) Adding the value of the first predicted value of the underground water quality to be predicted and the value of the second predicted value of the underground water quality to be predicted at each time point to be predicted to obtain an underground water quality prediction result of the pollution site to be predicted;
wherein the obtaining the second predicted value of the groundwater quality to be predicted further comprises:
based on historical time series data of the underground water quality to be predicted, training by utilizing an ARIMA autoregressive integral moving average model to obtain an underground water quality linear data prediction model; based on input data of the underground water quality to be predicted, acquiring a first predicted value of the underground water quality to be predicted by using the linear data prediction model of the underground water quality;
based on historical time series data of underground water quality to be predicted, training by using an LM-BP neural network model to obtain an underground water quality nonlinear data prediction model; acquiring a second predicted value of the underground water quality to be predicted by using the nonlinear data prediction model of the underground water quality based on the input data of the meteorological factor time series data of the pollution site to be predicted;
wherein, based on the historical time series data of the underground water quality to be predicted, the step of obtaining the linear data prediction model of the underground water quality by training by utilizing the ARIMA autoregressive integral moving average model further comprises the following steps:
judging the stability of historical time series data of the underground water quality to be predicted: d times of differential treatment are carried out, and an ARIMA (p, d, q) autoregressive integral moving average model is established; calculating coefficients and orders of the ARIMA (p, q) autoregressive integral moving average model; calculating parameters of the ARIMA autoregressive integral moving average model;
wherein p is an autoregressive term; MA is moving average, q is moving average term number, d is difference number made when time sequence becomes stable.
7. The monitoring system for a contaminated site groundwater environment survey according to claim 6, wherein the step of training to obtain a groundwater quality nonlinear data prediction model using a BP neural network model based on the contaminated site historical meteorological factor time series data to be predicted and the groundwater quality historical time series data to be predicted further comprises:
and repeatedly adjusting and training the weight and the deviation of the BP neural network model by using a back propagation algorithm based on the historical meteorological factor time sequence data of the pollution site to be predicted and the historical time sequence data of the underground water quality to be predicted, and storing the weight and the deviation of the BP neural network model when the square sum of errors of network output layers is smaller than a threshold value.
8. The monitoring system for contaminated site groundwater environment investigation of claim 6, wherein said method further comprises: and deleting the historical meteorological factor time series data of the pollution site to be predicted and the vacancy value in the historical time series data of the underground water quality to be predicted.
9. The monitoring system for a contaminated site groundwater environment survey according to claim 6, wherein the ARIMA autoregressive moving average model further comprises, after the step of calculating parameters of the ARIMA autoregressive moving average model: and combining error data in the ARIMA autoregressive integral moving average model establishing process with the historical meteorological factor time sequence data of the pollution site to be predicted, and acquiring a second predicted value of the underground water quality to be predicted by using an LM-BP neural network model.
10. The monitoring system for a contaminated site groundwater environment survey according to claim 6, wherein the step of training to obtain a linear data prediction model of groundwater quality using an ARIMA autoregressive integral moving average model based on historical time series data of groundwater quality to be predicted further comprises:
adopting ADF unit root test to judge the stability of the historical time series data of the underground water quality to be predicted: d times of differential treatment are carried out, and an ARIMA (p, d, q) autoregressive integral moving average model is established;
calculating coefficients and orders of the ARIMA (p, q) autoregressive integral moving average model by using an autocorrelation function and a partial autocorrelation function; and calculating parameters of the ARIMA autoregressive integral moving average model by using a least square method.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117134504A (en) * | 2023-10-25 | 2023-11-28 | 陕西禄远电子科技有限公司 | Intelligent energy monitoring method and system based on safety protection |
| CN117192064A (en) * | 2023-11-07 | 2023-12-08 | 陕西得天节能环保检测有限公司 | Environmental pollution source based detection method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117134504A (en) * | 2023-10-25 | 2023-11-28 | 陕西禄远电子科技有限公司 | Intelligent energy monitoring method and system based on safety protection |
| CN117134504B (en) * | 2023-10-25 | 2024-01-26 | 陕西禄远电子科技有限公司 | Intelligent energy monitoring method and system based on safety protection |
| CN117192064A (en) * | 2023-11-07 | 2023-12-08 | 陕西得天节能环保检测有限公司 | Environmental pollution source based detection method and system |
| CN117192064B (en) * | 2023-11-07 | 2024-04-02 | 陕西得天节能环保检测有限公司 | Environmental pollution source based detection method and system |
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