An intelligent groundwater quality information acquisition and processing method and system

Abstract

The present invention discloses an intelligent groundwater water quality information acquisition and processing method and system, belonging to the technical field of information processing. Among them, the method includes arranging water quality detection points according to the distribution status of strata, and obtaining water quality images of the water quality detection points through a sampler; obtaining water quality parameters of water sources in different strata based on the water quality images of the water quality detection points in different strata; evaluating the first quality information of the water source according to the first evaluation method based on the water quality parameters of the water source; evaluating the quality change trend of the water source according to the first evaluation method based on the first quality information of the water source; predicting the second quality information of the water source based on the quality change trend of the water source and combining the stratum category and environmental information where the water source is located, and obtaining the quality grade of the water source. This application considers the stratum category and environmental information where the water source is located, predicts the water quality change, and obtains the predicted water quality grade. According to the water quality grade, the water source is rationally utilized or water pollution is treated in time.

Description

Technical Field

[0001] The present invention relates to the technical field of information processing, and particularly relates to an intelligent groundwater quality information acquisition and processing method and system. Background Art

[0002] Groundwater is an important part of water resources. Due to its stable water volume and good water quality, it is one of the important water sources for agricultural irrigation, industrial and mining, and cities. However, under certain conditions, changes in groundwater can also cause adverse natural phenomena such as waterlogging, salinization, landslides, and land subsidence. To ensure the safety of people's water use, the state will monitor the water quality of groundwater and evaluate the groundwater quality. Water quality evaluation refers to selecting corresponding water quality parameters, water quality standards, and evaluation methods according to the evaluation objectives to assess the quality utilization value of water bodies and the requirements for water treatment.

[0003] The water quality of groundwater is a continuously evolving process, and the evolution of groundwater quality is the result of the combined action of multiple factors, mainly including natural factors and human activities. For example, natural factors: geological structure, precipitation and climate change, infiltration of surface water quality, etc. Human activities: urbanization, industrial activities, agricultural activities, domestic sewage, etc. When conducting water quality evaluation, it is necessary to analyze according to different situations. Existing water quality detection only conducts single-factor detection, ignoring the influence of other factors on the change of water body quality, and there is a problem of low accuracy in predicting water quality changes.

[0004] Therefore, how to provide a groundwater quality information processing method that can analyze the change of water body quality from multiple factors, improve the accuracy of predicting water quality changes, and obtain accurate water quality information is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0005] To this end, the present invention provides an intelligent groundwater quality information acquisition and processing method and system to solve the problem of low accuracy in predicting water quality changes due to the single water quality detection method in the prior art.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] According to the first aspect of the present invention, there is provided an intelligent groundwater quality information acquisition and processing method, including the following steps:

[0008] Step S1: Arrange water quality detection points according to the distribution of strata, and obtain the water quality images of the water quality detection points through a sampler;

[0009] Step S2: Based on the water quality images of the water quality detection points in different strata, obtain the water quality parameters of the water sources in different strata;

[0010] Step S3: Based on the water quality parameters of the water source, evaluate the first quality information of the water source according to the first evaluation method;

[0011] Step S4: Based on the first quality information of the water source, evaluate the quality change trend of the water source according to the first evaluation method;

[0012] Step S5: Based on the quality change trend of the water source, and in combination with the formation category and environmental information where the water source is located, predict the second quality information of the water source to obtain the quality grade of the water source.

[0013] Further, the first evaluation method in the step S3 is specifically:

[0014] Step S301: Obtain the water quality parameters of the water source in the first time period to obtain the first quality evaluation value of the water source;

[0015] Step S302: Obtain the water quality parameters of the water source in the second time period to obtain the second quality evaluation value of the water source;

[0016] Step S303: Obtain the water quality parameters of the water source in the third time period to obtain the third quality evaluation value of the water source.

[0017] Further, the first evaluation method in the step S4 is specifically:

[0018] Step S401: Based on the first quality evaluation value and the second quality evaluation value of the water source, obtain the first quality change value of the water source;

[0019] Step S402: Based on the second quality evaluation value and the third quality evaluation value of the water source, obtain the second quality change value of the water source;

[0020] Step S403: Based on the first quality change value and the second quality change value of the water source, draw a quality change trend graph of the water source.

[0021] Further, in the step S2, based on the water quality images of the water quality detection points in different formations, obtain the water quality parameters of the water sources in different formations, specifically including:

[0022] Obtain the photos of the water quality detection points to obtain the water quality color image and the water quality grayscale image;

[0023] Divide the water quality grayscale image into multiple image blocks, and obtain the grayscale values of the multiple image blocks;

[0024] Based on the grayscale values and distribution positions of the multiple image blocks, obtain the grayscale distribution density of different grayscale values in the water quality grayscale image;

[0025] The water quality parameters of the water source are obtained based on the chromaticity of the water quality color image, the gray values of multiple water quality gray image blocks, and the gray distribution density of different gray values.

[0026] Further, in the first evaluation method, the quality evaluation value of the water source is obtained through the first evaluation function, where the first evaluation function is:

[0027] P i = K1 * H i + K2 * T i + K3 * S i ;

[0028] Among them, P i is the quality evaluation value of the water source in the i-th time period, K1 is the preset weight corresponding to turbidity, H i is the turbidity of the water source in the i-th time period, K2 is the preset weight corresponding to transparency, T i is the transparency of the water source in the i-th time period, K3 is the preset weight corresponding to chromaticity, S i is the chromaticity of the water source in the i-th time period, and i is the number of detected time periods.

[0029] Further, in step S5, the quality prediction value of the water source is obtained through the first prediction function, where the first prediction function is:

[0030] Q = (W1 + W2) * f(p);

[0031] Among them, Q is the quality prediction value of the water source, W1 is the preset weight corresponding to the formation category where the water source is located, W2 is the preset weight corresponding to the environment where the water source is located, f(p) is the water source quality change trend function, and p is the water source quality evaluation value.

[0032] Further, in the step S5, based on the quality prediction value of the water source, the quality grade of the water source is obtained according to the water source quality grade threshold.

[0033] Further, the water quality parameters at least include turbidity, transparency, and chromaticity.

[0034] According to the second aspect of the present invention, there is provided an intelligent groundwater quality information acquisition and processing system for implementing the intelligent groundwater quality information acquisition and processing method as described in any one of the above, including:

[0035] An information acquisition unit for acquiring the water quality image of the water quality detection point;

[0036] A first information processing unit for obtaining the water quality parameters of the water sources in different formations based on the water quality images of the water quality detection points in different formations;

[0037] A second information processing unit, configured to evaluate and obtain first quality information of the water source based on the water quality parameters of the water source according to a first evaluation method;

[0038] An evaluation unit, configured to evaluate the quality change trend of the water source based on the first quality information of the water source according to a first evaluation method;

[0039] A feedback unit, configured to predict second quality information of the water source based on the quality change trend of the water source and in combination with the formation category and environmental information where the water source is located, and obtain the quality grade of the water source.

[0040] The present invention has the following advantages:

[0041] In this application, water quality detection points are arranged according to the distribution status of the formation, and water quality images of the water quality detection points are obtained through a sampler. Based on the water quality images of the water quality detection points in different formations, water quality parameters of the water sources in different formations are obtained. Based on the water quality parameters of the water source, first quality information of the water source is evaluated and obtained according to a first evaluation method. Based on the first quality information of the water source, the quality change trend of the water source is evaluated according to a first evaluation method. Based on the quality change trend of the water source and in combination with the formation category and environmental information where the water source is located, second quality information of the water source is predicted, and the quality grade of the water source is obtained.

[0042] In this application, the water quality parameters of the water source are obtained by detecting the grayscale image of the water source. The method is simple and does not require the use of high-precision instruments, reducing the detection cost. When predicting the water quality change in this application, the change trend of the water quality in different time periods is considered, and on the basis of its change trend, the formation category and environmental information where the water source is located are considered to predict the water quality change and obtain the predicted water quality grade. According to the water quality grade, the water source is reasonably utilized or water pollution is treated in a timely manner. Description of the Drawings

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only exemplary, and for those of ordinary skill in the art, without creative efforts, other implementation drawings can also be obtained according to the provided drawings.

[0044] The structures, ratios, sizes, etc. depicted in this specification are only used to cooperate with the content disclosed in the specification for those who are familiar with this technology to understand and read, and are not used to limit the limiting conditions under which the present invention can be implemented. Therefore, they do not have technical essence. Any modification of the structure, change of the proportional relationship, or adjustment of the size should still fall within the scope that can be covered by the technical content disclosed in the present invention without affecting the effects that the present invention can produce and the purposes that can be achieved.

[0045] Figure 1 Flow chart of an intelligent groundwater quality information acquisition and processing method provided by the present invention;

[0046] Figure 2 Specific flow chart of step S3 in the processing method provided by the present invention;

[0047] Figure 3 Specific flow chart of step S4 in the processing method provided by the present invention;

[0048] Figure 4 Connection block diagram of an intelligent groundwater quality information acquisition and processing system provided by the present invention. Specific implementation manners

[0049] The following specific embodiments illustrate the implementation manners of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0050] According to the first aspect of the present invention, an intelligent groundwater quality information acquisition and processing method is provided. As Figure 1 shown, it includes the following steps:

[0051] Step S1: Arrange water quality detection points according to the distribution of strata, and obtain the water quality images of the water quality detection points through a sampler;

[0052] Step S2: Based on the water quality images of the water quality detection points in different strata, obtain the water quality parameters of the water sources in different strata;

[0053] Step S3: Based on the water quality parameters of the water source, evaluate the first quality information of the water source according to the first evaluation method;

[0054] Step S4: Based on the first quality information of the water source, evaluate the quality change trend of the water source according to the first evaluation method;

[0055] Step S5: Based on the quality change trend of the water source, and in combination with the stratum category and environmental information where the water source is located, predict the second quality information of the water source to obtain the quality grade of the water source.

[0056] This application arranges water quality detection points according to the distribution of strata, and obtains water quality images of the water quality detection points through a sampler. Based on the water quality images of the water quality detection points in different strata, the water quality parameters of the water sources in different strata are obtained. Based on the water quality parameters of the water sources, according to the first evaluation method, the first quality information of the water sources is evaluated. Based on the first quality information of the water sources, according to the first evaluation method, the quality change trend of the water sources is evaluated. Based on the quality change trend of the water sources, combined with the stratum category and environmental information where the water sources are located, the second quality information of the water sources is predicted, and the quality grade of the water sources is obtained.

[0057] This application obtains the water quality parameters of the water source by detecting the grayscale image of the water source. The method is simple and does not require the use of high-precision instruments, reducing the detection cost. When predicting the water quality change, this application considers the change trend of the water quality in different time periods, and on the basis of its change trend, considers the stratum category and environmental information where the water source is located to predict the water quality change and obtain the predicted water quality grade. According to the water quality grade, the water source is reasonably utilized or water pollution is treated in time.

[0058] In step S2, based on the water quality images of the water quality detection points in different strata, the water quality parameters of the water sources in different strata are obtained, specifically including:

[0059] Obtain the photos of the water quality detection points to obtain the water quality color image and the water quality grayscale image;

[0060] Divide the water quality grayscale image into multiple image blocks, and obtain the grayscale values of the multiple image blocks;

[0061] Based on the grayscale values and distribution positions of the multiple image blocks, obtain the grayscale distribution density of different grayscale values in the water quality grayscale image;

[0062] According to the chromaticity of the water quality color image, the grayscale values of the multiple water quality grayscale image blocks, and the grayscale distribution density of different grayscale values, obtain the water quality parameters of the water source.

[0063] The water quality parameters of the water source at least include turbidity, transparency, and chromaticity. The chromaticity is obtained through the water quality color image, and the turbidity and transparency are obtained through the water quality grayscale image of the water quality image.

[0064] Evenly divide the water quality grayscale image into multiple image blocks, obtain the grayscale value of each image block, and mark the image blocks with the same grayscale value with the same graphic on the image. Calculate the grayscale value of each image block in the water quality grayscale image, calculate the sum to obtain the grayscale value of the entire water quality grayscale image, and then obtain the water quality brightness. Since the brightness of the water quality is directly proportional to the transparency, the transparency of the water quality can be obtained.

[0065] Low transparency of water quality indicates the presence of turbidity in the water, and the higher the turbidity. By recording the distribution positions of different gray values, the distribution density of different gray values is obtained. By observing the distribution density of image blocks with smaller gray values, the turbidity of the water quality can be obtained.

[0066] As Figure 2 shown, the first evaluation method in step S3 is specifically as follows:

[0067] Step S301: Obtain the water quality parameters of the water source in the first time period to obtain the first quality evaluation value of the water source;

[0068] Step S302: Obtain the water quality parameters of the water source in the second time period to obtain the second quality evaluation value of the water source;

[0069] Step S303: Obtain the water quality parameters of the water source in the third time period to obtain the third quality evaluation value of the water source.

[0070] In the first evaluation method, the quality evaluation value of the water source is obtained through the first evaluation function, where the first evaluation function is:

[0071] P i = K1 * H i + K2 * T i + K3 * S i ;

[0072] where P i is the quality evaluation value of the water source in the i-th time period, K1 is the preset weight corresponding to turbidity, H i is the turbidity of the water source in the i-th time period, K2 is the preset weight corresponding to transparency, T i is the transparency of the water source in the i-th time period, K3 is the preset weight corresponding to chromaticity, S i is the chromaticity of the water source in the i-th time period, and i is the number of detected time periods.

[0073] Due to the fluidity of the water source, there may be differences in the water quality at different time periods. By detecting the water quality images at different time periods, obtaining the water quality parameters at different time periods, and obtaining the quality evaluation values of the water source at different time periods. The lower the turbidity in the water quality, the higher the quality evaluation value; the higher the transparency in the water quality, the higher the quality evaluation value; and the lower the chromaticity in the water quality, the higher the quality evaluation value.

[0074] As Figure 3 shown, the first evaluation method in step S4 is specifically as follows:

[0075] Step S401: Based on the first quality evaluation value and the second quality evaluation value of the water source, obtain the first quality change value of the water source;

[0076] Step S402: Obtain the second water quality change value of the water source based on the second quality evaluation value and the third quality evaluation value of the water source;

[0077] Step S403: Draw a water quality change trend graph of the water source based on the first water quality change value and the second water quality change value of the water source.

[0078] Obtain the first quality evaluation value, the second quality evaluation value, and the third quality evaluation value of the water source, plot points on the quality-time graph and draw a curve, and this curve shows the water quality change trend of the water source. If the water quality change curve of the water source has an upward trend, it indicates that the water quality is getting better; if the water quality change curve of the water source has an upward trend, it indicates that the water quality is getting worse.

[0079] The water quality of the water source is also affected by the formation type where the water source is located and environmental information. For example, mineral components, dissolved gases, etc. in the geological formation conditions will enter the water source through groundwater flow, thus affecting the water quality; climate conditions such as rainfall, temperature, etc. will affect the self-purification ability of the water body; and pollutants in the ecological environment, such as agricultural fertilizers, industrial wastewater, etc., will also enter the water source through surface runoff or underground infiltration.

[0080] This application predicts the second water quality information of the water source based on the water quality change trend of the water source, combines the formation type where the water source is located and environmental information, and obtains the water quality grade of the water source.

[0081] In step S5, the water quality prediction value of the water source is obtained through the first prediction function, where the first prediction function is:

[0082] Q = (W1 + W2) * f(p);

[0083] Among them, Q is the water quality prediction value of the water source, W1 is the preset weight corresponding to the formation type where the water source is located, W2 is the preset weight corresponding to the environment where the water source is located, f(p) is the water quality change trend function of the water source, and p is the water quality evaluation value of the water source.

[0084] The less harmful components contained in the formation type, the smaller the degree of its impact on the water quality of the water source. The more superior the environment where the water source is located, the smaller the degree of its impact on the water quality of the water source.

[0085] Based on the water quality prediction value of the water source, obtain the water quality grade of the water source according to the water quality grade threshold. The water quality grade of the water source is divided into three categories, and the first water quality grade threshold, the second water quality grade threshold, and the third water quality grade threshold are set. When the water quality prediction value of the water source is greater than the first water quality grade threshold, this water source can be used for industrial water; when the water quality prediction value of the water source is greater than the second water quality grade threshold, this water source can be used for agricultural water; when the water quality prediction value of the water source is greater than the third water quality grade threshold, this water source can be used for domestic water.

[0086] According to a second aspect of the present invention, there is provided an intelligent groundwater quality information acquisition and processing system for implementing an intelligent groundwater quality information acquisition and processing method, as Figure 4 shown, comprising:

[0087] An information acquisition unit for acquiring a water quality image of a water quality detection point;

[0088] A first information processing unit for obtaining water quality parameters of water sources in different strata based on the water quality images of water quality detection points in different strata;

[0089] A second information processing unit for evaluating and obtaining first quality information of the water source according to a first evaluation method based on the water quality parameters of the water source;

[0090] An evaluation unit for evaluating the quality change trend of the water source according to a first evaluation method based on the first quality information of the water source;

[0091] A feedback unit for predicting second quality information of the water source based on the quality change trend of the water source and combining the formation category and environmental information where the water source is located to obtain the quality grade of the water source.

[0092] In this application, water quality detection points are arranged according to the distribution of strata, and the information acquisition unit acquires water quality images of water quality detection points through a sampler. Based on the water quality images of water quality detection points in different strata, the first information processing unit obtains water quality parameters of water sources in different strata. Based on the water quality parameters of the water source, the second information processing unit evaluates and obtains first quality information of the water source according to a first evaluation method. Based on the first quality information of the water source, the evaluation unit evaluates the quality change trend of the water source according to a first evaluation method. Based on the quality change trend of the water source and combining the formation category and environmental information where the water source is located, the feedback unit predicts second quality information of the water source to obtain the quality grade of the water source.

[0093] Although the present invention has been described in detail above with general descriptions and specific embodiments, modifications or improvements can be made to it based on the present invention, which will be obvious to those skilled in the art. Therefore, these modifications or improvements made without departing from the spirit of the present invention all fall within the scope of protection required by the present invention.

Claims

1. An intelligent groundwater quality information collection and processing method, characterized in that: The following steps are involved: Step S1: Arrange water quality detection points according to the distribution of strata, and obtain water quality images of the water quality detection points through samplers; Step S2: based on the water quality images of the water quality detection points in different strata, obtaining water quality parameters of water sources in different strata; Step S3: Based on the water quality parameters of the water source, first quality information of the water source is obtained by evaluation according to a first evaluation method; Step S4: Based on the first quality information of the water source, and according to a first evaluation method, evaluating the quality change trend of the water source; Step S5: based on the quality change trend of the water source and in combination with the type of stratum where the water source is located and environmental information, predict the quality prediction value of the water source to obtain the quality grade of the water source; The first evaluation method is: obtaining water quality parameters of a water source in a first time period to obtain a first quality evaluation value of the water source; Acquire water quality parameters of a water source in a second time period to obtain a second quality evaluation value of the water source; Acquire water quality parameters of a water source in a third time period to obtain a third quality evaluation value of the water source; The first evaluation method is: based on the first quality evaluation value and the second quality evaluation value of the water source, obtaining a first quality change value of the water source; Based on the second quality evaluation value and the third quality evaluation value of the water source, obtaining a second quality change value of the water source; Based on the first quality change value and the second quality change value of the water source, drawing a quality change trend graph of the water source; The quality prediction value of the water source is obtained by a first prediction function, wherein the first prediction function is: Q=(W1+W2)*f(p); Among them, Q is the predicted value of the water source quality, W1 is the preset weight corresponding to the stratum category where the water source is located, W2 is the preset weight corresponding to the environment where the water source is located, f(p) is the quality change trend function of the water source, and p is the quality evaluation value of the water source.

2. The intelligent groundwater quality information collection and processing method according to claim 1, characterized in that: In step S2, based on the water quality images of water quality detection points in different strata, water quality parameters of water sources in different strata are obtained, which specifically includes: Obtain photos of water quality testing points to obtain water quality color images and water quality grayscale images; Segmenting the water quality grayscale image into a plurality of image blocks, and obtaining grayscale values ​​of the plurality of image blocks; Based on the grayscale values ​​and distribution positions of multiple image blocks, the grayscale distribution density of different grayscale values ​​in the water quality grayscale image is obtained; The water quality parameters of the water source are obtained according to the chromaticity of the water quality color image, the grayscale values ​​of a plurality of water quality grayscale image blocks, and the grayscale distribution density of different grayscale values.

3. The intelligent groundwater quality information collection and processing method according to claim 1, characterized in that: In the first evaluation method, the quality evaluation value of the water source is obtained by a first evaluation function, wherein the first evaluation function is: P i =K1*H i +K2*T i +K3*S i ; Among them, P i is the quality evaluation value of the water source in the i-th time period, K1 is the preset weight corresponding to turbidity, H i is the turbidity of the water source in the i-th time period, K2 is the preset weight corresponding to the transparency, T i is the transparency of the water source in the i-th time period, K3 is the preset weight corresponding to the chromaticity, S i is the chromaticity of the water source in the i-th time period, and i is the number of detected time periods.

4. The intelligent groundwater quality information collection and processing method according to claim 1, characterized in that: In the step S5, based on the quality prediction value of the water source and according to the quality level threshold of the water source, the quality level of the water source is obtained.

5. The intelligent groundwater quality information collection and processing method according to claim 1, characterized in that: The water quality parameters include at least turbidity, transparency and chromaticity.

6. An intelligent groundwater quality information collection and processing system, used to implement the intelligent groundwater quality information collection and processing method according to any one of claims 1 to 5, characterized in that: include: An information acquisition unit, used for acquiring a water quality image of a water quality detection point; A first information processing unit is used to obtain water quality parameters of water sources in different strata based on water quality images of water quality detection points in different strata; A second information processing unit is used to evaluate and obtain first quality information of the water source based on the water quality parameters of the water source according to a first evaluation method; An evaluation unit, configured to evaluate a quality change trend of the water source based on the first quality information of the water source and according to a first evaluation method; The feedback unit is used to predict the quality prediction value of the water source based on the quality change trend of the water source and in combination with the stratum type and environmental information of the water source to obtain the quality grade of the water source.

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