CN112288275B - Groundwater quality analysis and evaluation system and method based on Internet of things - Google Patents

Groundwater quality analysis and evaluation system and method based on Internet of things Download PDF

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CN112288275B
CN112288275B CN202011183888.9A CN202011183888A CN112288275B CN 112288275 B CN112288275 B CN 112288275B CN 202011183888 A CN202011183888 A CN 202011183888A CN 112288275 B CN112288275 B CN 112288275B
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常仁凯
常大海
梁云
徐晴晴
刘艳红
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China Water Sunny Data Technology Co ltd
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Abstract

The invention discloses an underground water quality analysis and evaluation system and method based on the Internet of things, wherein the system comprises the steps of acquiring lead, selenium and arsenic water quality monitoring data of underground water and basic hydrogeological information of a target aquifer through the Internet of things; establishing a comparison model of key indexes; constructing a hydrogeologic comprehensive model, combining a comparison model and water quality monitoring data, evaluating and predicting regional groundwater quality, determining the type of regional groundwater quality, and carrying out early warning according to a water quality management target; and rendering the result of the regional groundwater quality analysis and evaluation by combining the result of the regional groundwater quality analysis and evaluation with a visualization technology to form a dynamic groundwater quality evaluation effect diagram, and displaying the dynamic groundwater quality evaluation effect diagram on terminal equipment. According to the invention, information can be timely obtained under the condition of limited information, so that the groundwater quality evaluation is accurate and quick, the prediction and the early warning are carried out, the method is coupled with a visualization technology, and the regional groundwater quality condition is dynamically rendered and displayed.

Description

Groundwater quality analysis and evaluation system and method based on Internet of things
Technical Field
The invention relates to the technical field of groundwater quality analysis and evaluation, in particular to an groundwater quality analysis and evaluation system and method based on the Internet of things.
Background
Groundwater is used as an important water source for life, agriculture and industry, and the quality of the groundwater directly influences the living standard of people and the development of national economy. Because groundwater monitoring often needs to perform corresponding drilling work first, and through corresponding processes, such as work of sectioning water stop, etc., the water-bearing layer hydrologic and water quality conditions are monitored in a targeted manner. Because construction is complicated and monitoring is difficult, the underground water monitoring quantity is less, the automatic monitoring problem is more serious, and the underground water quality evaluation is also often carried out in an off-line manual checking mode, the underground water quality condition cannot be mastered in real time, the water quality is not predicted, the overall evaluation of the water quality condition of an aquifer is not carried out, and the underground water quality cannot be displayed intuitively in space.
The method has the defects that the existing underground water quality evaluation adopts a manual checking mode, and the evaluation efficiency is low under the condition of strong real-time automatic monitoring.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, so that the underground water monitoring information is fully utilized under the condition of limited data resources. Based on the analysis of the original groundwater quality type, a key index comparison model for evaluating the groundwater quality is built automatically, and real-time is achieved. The quality of the underground water is rapidly evaluated, and the influence degree of each index can be determined. And the regional groundwater quality is predicted by applying professional models such as a hydrogeologic concept model, a hydrodynamic model, a water quality model and the like, and is coupled with a unit 3d visualization technology to dynamically render and display the regional groundwater quality.
In order to achieve the above purpose, an underground water quality analysis and evaluation system and method based on the internet of things are adopted to solve the problems in the background technology.
An underground water quality analysis and evaluation method based on the Internet of things comprises the following steps:
s1, acquiring lead, selenium and arsenic water quality monitoring data of underground water and basic hydrogeological information of a target aquifer through the Internet of things;
s2, obtaining grade limit values of lead, selenium and arsenic monitoring indexes in the underground water quality standard, determining key coefficients of all the monitoring indexes as the inverse of the grade limit values, sequencing the product result of the water quality detection data and the inverse of the grade limit values by using sequencing codes to obtain the maximum value as the key index, and establishing a comparison model of the key index;
s3, constructing a hydrogeologic comprehensive model, combining the comparison model and the water quality monitoring data, evaluating and predicting the regional groundwater quality, determining the regional groundwater quality type, and carrying out early warning according to a water quality management target.
By adopting the technical scheme, the key index comparison model for evaluating the groundwater quality is built on the basis of analyzing the water quality type of the original groundwater in real time. The quality of the underground water is rapidly evaluated, and the influence degree of each index can be determined. And the regional groundwater quality is predicted and early-warned and visually displayed by applying a professional model of the hydrogeology comprehensive model.
As a further aspect of the invention: the specific method in the step S1 comprises the steps of establishing a data interface for acquiring water quality monitoring data, wherein the water quality monitoring data of the underground water comprise lead, selenium and arsenic water quality monitoring data.
By adopting the technical scheme, the information communication barrier between departments is broken while the data shortage is solved, so that the underground water monitoring information is fully utilized under the condition of limited data resources.
As a further aspect of the invention: the lead, selenium and arsenic water quality monitoring data comprise historical monitoring data, real-time monitoring data and manual monitoring data.
By adopting the technical scheme, the key index of more representative and regional groundwater quality evaluation can be obtained by utilizing the acquired data.
As a further aspect of the invention: the target aquifer basic hydrogeological information comprises aquifer type, water enrichment, thickness, burial depth range and stratum DEM data.
By adopting the technical scheme, the basic hydrogeological information of the target aquifer is collected: the water layer type, the water enrichment, the thickness, the burial depth range and the stratum DEM data are fed back to the comparison model to further obtain key indexes.
As a further aspect of the invention: the step S3 is to construct a hydrogeologic comprehensive model, combine a comparison model and water quality monitoring data, evaluate and predict the regional groundwater quality, determine the regional groundwater quality type, and perform early warning according to a water quality management target, and comprises the following specific steps:
s301, constructing a hydrogeologic comprehensive model under a three-dimensional scale;
s302, evaluating the regional groundwater quality by combining key indexes and water quality monitoring data of the comparison model and groundwater quality standards, and determining the type of the regional groundwater quality;
s303, simultaneously calculating to obtain predicted values of all monitoring indexes, and carrying out early warning on the out-of-standard water quality by setting a target water quality type and comparing the water quality type with the real-time calculated water quality type and combining the regional groundwater water quality management target;
and S304, rendering the result of the regional groundwater quality analysis and evaluation by combining the result of the regional groundwater quality analysis and evaluation and combining a unit 3d visualization technology to form a dynamic groundwater quality evaluation effect diagram, and displaying the dynamic groundwater quality evaluation effect diagram on terminal equipment.
By adopting the technical scheme, the regional groundwater quality management target is obtained by utilizing the hydrogeologic comprehensive model constructed in the three-dimensional mode and combining the established comparison model, the water quality monitoring data and the ground water quality standard (GBT 14848-2017), and the out-of-standard water quality is pre-warned and visually displayed.
As a further aspect of the invention: the hydrogeologic integrated model comprises a hydrogeologic conceptual model, a water quality model, a hydrodynamic model and other professional models.
By adopting the technical scheme, the regional groundwater evaluation analysis and prediction early warning are carried out by utilizing professional models such as a hydrogeology conceptual model, a water quality model, a hydrodynamic model and the like by utilizing water quality analysis models with different functions and representatives.
An underground water quality analysis and evaluation system based on the Internet of things comprises:
the internet of things information sharing module is used for acquiring water quality monitoring data information and inputting basic information of an aquifer;
the comparison model building module is used for determining key indexes for evaluating the quality of underground water;
the analysis and evaluation module is used for evaluating and analyzing the underground water quality grade and the water quality type of the area;
the prediction early warning module is used for predicting and early warning the quality and type of regional water quality;
and the dynamic display module is used for carrying out space three-dimensional dynamic display on the water quality condition of the area.
By adopting the technical scheme, different functional modules are arranged to acquire and evaluate different types of data, and meanwhile, the obtained results and the change of the water quality type are visually displayed and early-warned.
As a further aspect of the invention: the dynamic display module is connected to the computer display terminal.
By adopting the technical scheme, the computer display terminal is utilized to evaluate and analyze the regional groundwater quality and perform visual feedback on the result and the predicted early warning.
Compared with the prior art, the invention has the following technical effects: the problems of limited data resources and barriers in information communication are solved by utilizing the Internet of things technology, a groundwater quality evaluation key index comparison model is built, a key index determination flow is optimized, and professional models such as a hydrogeology conceptual model, a hydrodynamic model, a hydrologic model and the like are coupled with a unit 3d visualization technology, so that the regional water quality condition is dynamically displayed in real time in a three-dimensional space, and decision support is provided for real-time evaluation of the groundwater quality status and prevention and control of groundwater pollution.
Drawings
The following detailed description of specific embodiments of the invention refers to the accompanying drawings, in which:
FIG. 1 is a block flow diagram of a groundwater quality analysis and evaluation method according to some embodiments of the disclosure;
FIG. 2 is a schematic diagram of an analysis and evaluation system for groundwater quality according to some embodiments of the disclosure;
in the figure: 1. the Internet of things information sharing module; 2. the comparison model building module; 3. an analysis and evaluation module; 4. a prediction early warning module; 5. and a dynamic display module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, in an embodiment of the invention, an underground water quality analysis and evaluation method based on the internet of things comprises the following specific steps:
s1, acquiring water quality monitoring data such as lead, selenium, arsenic and the like of underground water through the Internet of things, and acquiring basic hydrogeological information of a target aquifer, wherein the specific method comprises the following steps of:
and establishing a data interface for acquiring water quality monitoring data through customized development of data, wherein the water quality monitoring data of the underground water comprise water quality monitoring data such as lead, selenium, arsenic and the like. The target aquifer basic hydrogeological information comprises aquifer type, water enrichment, thickness, burial depth range and stratum DEM data.
S2, establishing a comparison model of key indexes, wherein the specific method comprises the following steps:
obtaining grade limit values of water quality monitoring indexes such as lead, selenium, arsenic and the like in the ground water quality standard (GBT 14848-2017);
determining the key coefficient of each monitoring index as the reciprocal of the grade limit value;
and sequencing the product result of the water quality detection data and the reciprocal of the grade limit value by using sequencing codes, taking the maximum value as a key index, and establishing a comparison model. The water quality monitoring data of lead, selenium, arsenic and the like comprise historical monitoring data, real-time monitoring data and manual monitoring data.
S3, constructing a hydrogeologic comprehensive model, evaluating and predicting the regional groundwater quality by combining a comparison model and water quality monitoring data, determining the regional groundwater quality type, and carrying out early warning according to a water quality management target, wherein the specific steps comprise:
s301, constructing a hydrogeologic comprehensive model under a three-dimensional scale;
s302, evaluating the quality of regional groundwater by combining key indexes and water quality monitoring data of a comparison model and the ground water quality standard (GBT 14848-2017), and determining the type of regional groundwater, such as class I water, class II water, class III water and the like;
s303, simultaneously calculating to obtain predicted values of all monitoring indexes, and carrying out early warning on the out-of-standard water quality by setting a target water quality type and comparing the water quality type with the real-time calculated water quality type and combining the regional groundwater water quality management target.
The hydrogeologic integrated model comprises a hydrogeologic conceptual model, a water quality model, a hydrodynamic model and other professional models.
S304, combining the results of regional groundwater quality analysis and evaluation, combining a unit 3d visualization technology, creating a corresponding algorithm program, performing man-machine interface design, script component development, three-dimensional checkpoint design and other technologies, rendering the results of regional groundwater quality analysis and evaluation, forming a dynamic groundwater quality evaluation effect graph, and displaying the dynamic groundwater quality evaluation effect graph on terminal equipment.
Referring to fig. 2, an internet of things-based underground water quality analysis and evaluation system is characterized by comprising an internet of things information sharing module 1, a comparison model building module 2, an analysis and evaluation module 3, a prediction early warning module 4 and a dynamic display module 5:
the internet of things information sharing module 1 is used for acquiring water quality monitoring data information and inputting aquifer basic information, wherein the aquifer basic information comprises aquifer type, water enrichment, thickness, burial depth range and stratum DEM data, and the water quality monitoring data information comprises lead, selenium, arsenic and the like.
In some disclosed embodiments, the internet of things information sharing module 1 uses the Ortsa limestone aquifer utilized by the water source area of the area as an evaluation aquifer according to the requirements of the ecological environment bureau of the area, the average thickness of the aquifer is 80m, the permeability coefficient is 8-25m/d, the evaluation range is 24.11Km2, the automatic monitoring points 25 are distributed in the evaluation range, the ecological environment bureau is constructed, and the system shares monitoring data such as lead, selenium, arsenic and the like by custom-developing corresponding data interfaces, so as to provide a data foundation for the system.
The comparison model building module 2 is used for determining key indexes for evaluating the quality of the underground water; the comparison model building module 2 determines the comparison model of each monitoring index of lead, selenium and arsenic as follows according to the monitoring indexes of lead, selenium, arsenic and the like by utilizing the limit value of the III-level index in the ground water quality standard (GBT 14848-2017)
P＝Ci/0.01；
Wherein: ci is a monitoring value or a predicted value of each evaluation index;
0.01 is a model coefficient;
p is a key index, and the index with the largest monitoring index is the key index.
Finally, the key indexes with large values are used as key indexes by sequencing codes, so that a key index comparison and selection model is formed, and when the project is used for evaluating water quality, the key indexes at different time points are slightly different, but lead is used as the key index.
And the analysis and evaluation module 3 is used for evaluating and analyzing the regional underground water quality grade and the water quality type, and determining the regional underground water quality type according to the final key indexes and the key index monitoring values and by combining with the underground water quality standard (GBT 14848-2017). The water quality type corresponding to the key index is the regional groundwater water quality type. The water quality type of the project area meets the III-class water condition of the underground water.
And the prediction and early warning module 4 is used for judging the change condition of the regional groundwater quality condition in a period of time in the future. The method mainly comprises the steps of coupling a water quality migration model on the basis of a generalized regional flow field through a professional hydrological model, obtaining the change condition of each monitoring index of regional groundwater in space and time in a period of time in the future, and carrying out early warning on indexes with evaluation indexes larger than 1 by combining regional groundwater quality management targets.
In some disclosed embodiments, the prediction and early warning module 4 predicts future change conditions of the groundwater quality in the area, and early warns the groundwater quality with large change or exceeding a set limit value. Firstly, according to the hydrogeological conditions of the area, a hydrogeological conceptual model of the area is established by using Visual MODEFLOW software, the flow field condition of the area is simulated by using a hydrodynamic model, and the water quality of a monitoring point is simulated by using a water quality model to obtain the water quality value of a future set time point. And according to the groundwater quality evaluation method, the predicted water quality is evaluated, the target water quality is set as class II water, when the evaluation result is class III water, or when the predicted concentration is increased by 10% compared with the current concentration value, if the current lead concentration is 0.008mg/L, and the predicted concentration is 0.01mg/L after 1 month, the increase is 37.5%, and the system can perform early warning in a red flickering mode and mark the position of an early warning monitoring point.
The dynamic display module 5 is used for carrying out space three-dimensional dynamic display on the regional water quality condition, carrying out scene rendering on the underground water quality analysis and evaluation result, and vividly and intuitively displaying the water quality space distribution state.
In some disclosed embodiments, the computer terminal mainly uses the technologies of algorithm programs such as units 3d, interface plane design and the like to carry out man-machine interface design, script component development and three-dimensional checkpoint design, and carries out scene rendering by combining with a hydrogeology conceptual model and groundwater quality analysis and evaluation results to vividly and intuitively display the spatial distribution state of water quality. In the project, according to the water quality value of the same time point of each monitoring point, the water quality value of each computing unit of the regional hydrogeologic concept model is calculated by utilizing a difference value computing method, and the regional water quality space distribution condition is rendered and displayed by the hydrogeologic concept model and the unit 3d technology.
The dynamic display module is connected to the computer display terminal.
The following are the working principles and working procedures of some embodiments of the present disclosure:
firstly, setting a formulated data interface in an internet of things information sharing module 1, wherein the data interface is used for receiving all-direction monitoring data, such as basic information of an aquifer, from an internet of things platform: aquifer type, water enrichment, thickness, burial depth range and stratum DEM data; water quality monitoring data information: lead, selenium, arsenic, etc. And then, a comparison model is built by using a comparison model building module 2, wherein the grade limit value of the monitoring indexes such as lead, selenium and arsenic in the ground water quality standard (GBT 14848-2017) is firstly obtained, then the key coefficient of each monitoring index is determined to be the reciprocal of the grade limit value, the product result of the water quality detection data and the reciprocal of the grade limit value is sequenced by sequencing codes, the maximum value is obtained as the key index, and the comparison model is built. According to the relevant water quality monitoring data of the underground water received by the analysis and evaluation module 3 and the prediction and early warning module 4, the water quality evaluation and analysis of the underground water are carried out by combining key indexes of a comparison model through the underground water quality standard (GBT 14848-2017), and the prediction and early warning of the type of the water quality exceeding the standard are carried out on the regional underground water quality management targets. Meanwhile, the dynamic display module 5 is utilized to render the groundwater quality evaluation analysis result, and the spatial three-dimensional dynamic display is carried out on the computer display terminal.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the spirit and scope of the invention as defined by the appended claims and their equivalents.

Claims (6)

1. The underground water quality analysis and evaluation method based on the Internet of things is characterized by comprising the following steps of:
s1, acquiring lead, selenium and arsenic water quality monitoring data of underground water and basic hydrogeological information of a target aquifer through the Internet of things;
s2, obtaining grade limit values of lead, selenium and arsenic monitoring indexes in the underground water quality standard, determining key coefficients of all the monitoring indexes as the inverse of the grade limit values, sequencing the product result of the water quality detection data and the inverse of the grade limit values by using sequencing codes to obtain the maximum value as the key index, and establishing a comparison model of the key index;
s3, constructing a hydrogeologic comprehensive model, evaluating and predicting the regional groundwater quality by combining a comparison model and water quality monitoring data, determining the regional groundwater quality type, and carrying out early warning according to a water quality management target, wherein the specific steps comprise:
s301, constructing a hydrogeologic integrated model under a three-dimensional scale, wherein the hydrogeologic integrated model comprises a hydrogeologic conceptual model, a water quality model and a hydrodynamic model;
s302, evaluating the regional groundwater quality by combining key indexes and water quality monitoring data of the comparison model and groundwater quality standards, and determining the type of the regional groundwater quality;
s303, simultaneously calculating to obtain predicted values of all monitoring indexes, comparing the set target water quality type with the real-time calculated water quality type, and combining the regional groundwater water quality management target, and early warning when the water quality exceeds the standard;
and S304, rendering the result of the regional groundwater quality analysis and evaluation by combining the result of the regional groundwater quality analysis and evaluation and combining a unit 3d visualization technology to form a dynamic groundwater quality evaluation effect diagram, and displaying the dynamic groundwater quality evaluation effect diagram on terminal equipment.
2. The method for analyzing and evaluating the quality of the groundwater based on the Internet of things according to claim 1, wherein the specific method in the step S1 comprises the steps of establishing a data interface for acquiring water quality monitoring data, wherein the water quality monitoring data of the groundwater comprise lead, selenium and arsenic water quality monitoring data.
3. The method for analyzing and evaluating the quality of the groundwater based on the Internet of things according to claim 2, wherein the quality monitoring data of the lead, selenium and arsenic comprises historical monitoring data, real-time monitoring data and manual monitoring data.
4. The method for analyzing and evaluating the quality of groundwater based on the Internet of things according to claim 1, wherein the basic hydrogeological information of the target aquifer comprises aquifer type, water enrichment, thickness, burial depth range and stratum DEM data.
5. An internet of things-based groundwater quality analysis and evaluation system, which adopts the internet of things-based groundwater quality analysis and evaluation method according to any one of claims 1 to 4, comprising:
the internet of things information sharing module is used for acquiring water quality monitoring data information and inputting basic information of an aquifer;
the comparison model building module is used for determining key indexes for evaluating the quality of underground water;
the analysis and evaluation module is used for evaluating and analyzing the underground water quality grade and the water quality type of the area;
the prediction early warning module is used for predicting and early warning the quality and type of regional water quality;
and the dynamic display module is used for carrying out space three-dimensional dynamic display on the water quality condition of the area.
6. The system for analyzing and evaluating the quality of the groundwater based on the Internet of things according to claim 5, wherein the dynamic display module is connected to a computer display terminal.
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