Groundwater environmental assessment quality prediction method based on Internet of Things nodes

Abstract

The present invention discloses a method for predicting the quality of groundwater environmental assessment based on an Internet of Things node, and relates to the technical field of groundwater assessment, including: obtaining a water depth parameter of groundwater and a ground depth parameter of groundwater based on the depth of groundwater; before predicting the quality of groundwater, obtaining an average water depth of groundwater, and obtaining a two-way environmental assessment node based on the average water depth; finally, based on the ground depth parameter, using a two-way detection method to detect the quality of groundwater between the two-way environmental assessment nodes, and predicting the quality of groundwater based on the detection result; the present invention is used to solve the problem that in the prior art, when predicting the quality of groundwater environmental assessment, the sampling dimension of groundwater is relatively limited, and the sampling result cannot fully fit the depth of groundwater and the distribution of pollutants in groundwater at different depths, resulting in an incomplete quality prediction.

Description

Technical Field

[0001] The present invention relates to the technical field of groundwater assessment, and in particular to a groundwater environmental assessment quality prediction method based on Internet of Things nodes. Background Art

[0002] Groundwater environmental impact assessment is an important branch of environmental science. It focuses on evaluating the impact of human activities on groundwater quality and quantity, as well as the potential impacts of these impacts on ecosystems and service functions. The purpose of groundwater environmental assessment is to protect and rationally utilize groundwater resources to prevent adverse effects on the environment and human health. This field involves many aspects, including but not limited to: groundwater sampling and analysis, identification of environmentally sensitive areas, environmental quality monitoring, risk assessment, and governance and restoration.

[0003] The existing quality prediction methods for groundwater environmental impact assessment usually collect hydrogeological parameters and simulate the movement area of ​​pollutants in groundwater based on the collection results to predict the impact on groundwater environment. Although this prediction method can effectively simulate the movement of pollutants to obtain prediction data, when collecting hydrogeological parameters, it is not possible to fully fit the depth of groundwater and the distribution of pollutants at different depths of groundwater. The selection of collection points will result in a large error between the simulated pollutant area and the actual area where pollutants are located in groundwater when simulating the movement of pollutants, resulting in subsequent prediction analysis not being consistent with reality. For example, in the publication No. Patent application CN115828508A discloses an automatic prediction method for groundwater environmental impact assessment based on a GIS platform. The solution is to collect and input hydrogeological parameters, simulate pollutant migration, post-process data, and analyze simulation results. Other quality prediction methods for groundwater environmental impact assessment usually analyze groundwater extracted from observation wells to predict groundwater quality. This method will limit groundwater sampling, and the sampling results cannot fully fit the depth of the groundwater and the distribution of pollutants in the groundwater at different depths, resulting in the problem of incomplete quality prediction. In view of this, it is necessary to improve the existing quality prediction methods for groundwater environmental impact assessment. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the prior art to at least a certain extent. By proposing a groundwater environmental impact assessment quality prediction method based on the Internet of Things node, it is used to solve the problem that in the prior art, when predicting the quality of groundwater environmental impact assessment, the sampling dimension of groundwater is relatively limited, and the sampling results cannot fully fit the depth of groundwater and the distribution of pollutants in groundwater at different depths, resulting in incomplete quality prediction.

[0005] To achieve the above purpose, this application provides a groundwater environmental impact assessment quality prediction method based on Internet of Things nodes, comprising the following steps:

[0006] Obtaining groundwater depth parameters and groundwater depth parameters based on the depth of groundwater;

[0007] Before predicting the quality of groundwater, obtain the average groundwater depth and obtain the two-way environmental assessment node based on the average water depth;

[0008] The groundwater quality between the bidirectional environmental assessment nodes is tested using the bidirectional detection method based on the ground depth parameters, and the groundwater quality is predicted based on the detection results.

[0009] Further, obtaining the water depth parameter of groundwater and the ground depth parameter of groundwater based on the depth of groundwater includes:

[0010] Analyze groundwater using groundwater depth analysis method and obtain water depth parameters based on the analysis results;

[0011] The water depth parameters are analyzed using the ground depth analysis method, and the ground depth parameters are obtained based on the analysis results.

[0012] Further, the groundwater depth analysis method includes:

[0013] The distance between the groundwater surface and the ground in the same vertical direction is recorded as the double-surface distance; the distance between the groundwater bottom and the ground in the same vertical direction is recorded as the low-surface distance; the value of the low-surface distance minus the double-surface distance in the same vertical direction is recorded as the groundwater depth DS;

[0014] All groundwater depths DS corresponding to groundwater that has undergone quality inspection are obtained, and an interval consisting of the minimum and maximum values ​​of all groundwater depths DS is recorded as a water depth interval.

[0015] Furthermore, the groundwater depth analysis method also includes:

[0016] For any groundwater depth DS within the water depth range, obtain all quality test results corresponding to the existing groundwater depth DS, and record them as deep water test results SC1 to deep water test results SC n ; For any water depth detection result SC n1 , the deep water test results SC n1 The distance between the groundwater surface and the groundwater bottom is recorded as the water level, where the water level is less than or equal to the groundwater depth DS and greater than or equal to 0;

[0017] Establish a plane rectangular coordinate system, recorded as the same water level analysis coordinate system, where the vertical axis of the same water level analysis coordinate system is in meters, and the coordinate points from the origin to the right in the horizontal axis of the same water level analysis coordinate system are deep water detection results SC1 to deep water detection results SC n ;

[0018] For any water depth detection result SC in the X-axis of the same water level analysis coordinate system n1 , connection point (water depth detection result SC n1 , 0) and point (water depth detection result SC n1 , groundwater depth DS), and the connecting line is recorded as the water level analysis line SF n1 ; Based on deep water detection results SC n1 Get water level analysis line SF n1 The point with the lowest water quality is recorded as the low water quality point; the water level analysis line SF above the low water quality point n1 Recorded as the upper water level line, the water level analysis line SF below the water quality low point n1 Recorded as the lower water level line; the deep water detection result SC n1 The pollutant content of groundwater at the middle water level in the upper water level sub-line is recorded as the upper layer pollution content, and the deep water test result SC n1 The pollutant content of groundwater at the middle water level on the lower water level sub-line is recorded as the lower layer pollution content; when the upper layer pollution content is greater than or equal to the lower layer pollution content, the low point of water quality is recorded as the upper floating point; when the upper layer pollution content is less than the lower layer pollution content, the low point of water quality is recorded as the sinking point; when the low point of water quality is recorded as the upper floating point, the upper layer pollution content is recorded as the upper characteristic quantity of the low point of water quality; when the low point of water quality is recorded as the sinking point, the lower layer pollution content is recorded as the lower characteristic quantity of the low point of water quality.

[0019] Furthermore, the groundwater depth analysis method also includes:

[0020] Get the deep water detection results SC1 to SC1 of the X-axis mid-coordinate point in the same water level analysis coordinate system n All corresponding water level analysis lines SF and corresponding water quality low points; the line segment fitted by all water quality low points is recorded as the deep water high pollution line; when the sum of the upper characteristic quantities corresponding to all water quality low points is less than or equal to the sum of the lower characteristic quantities, the ordinates of all points constituting the deep water high pollution line are adjusted to The obtained line segment is recorded as the deep water parameter line, where y0 is the ordinate of any point on the deep water high pollution line; when the sum of the upper characteristic quantities corresponding to all low water quality points is greater than the sum of the lower characteristic quantities, the ordinates of all points constituting the deep water high pollution line are adjusted to The obtained line segment is recorded as the deep water parameter line, where Y is the groundwater depth DS; the vertical coordinate of the midpoint of the deep water parameter line is marked as the water depth parameter of the groundwater depth DS;

[0021] Get the water depth parameters of all groundwater depths DS within the water depth interval.

[0022] Further, the ground depth analysis method includes:

[0023] For any groundwater depth DS within the water depth interval, the interval formed by all double-sided distances in all deepwater detection results SC corresponding to the groundwater depth DS is recorded as the ground depth interval; for any double-sided distance within the ground depth interval, when the ordinate of the low water quality point corresponding to the deepwater detection result SC corresponding to the double-sided distance is less than or equal to the water depth parameter of the groundwater depth DS, the double-sided distance is recorded as the downward exploration distance; when the ordinate of the low water quality point corresponding to the water depth detection result SC corresponding to the double-sided distance is greater than the water depth parameter of the groundwater depth DS, the double-sided distance is recorded as the upward exploration distance.

[0024] Furthermore, the ground depth analysis method also includes:

[0025] When all double-sided distances within the depth interval are recorded as the upward exploration distance, the ground depth parameter of the groundwater depth DS is set to Among them, f0 is the water depth parameter of groundwater depth DS, f max It is the maximum value of the ordinates of all water quality low points corresponding to the groundwater depth DS;

[0026] When all the two-sided distances within the depth interval are recorded as the down-drilling distance, the groundwater depth DS is

[0027] The ground depth parameter is set to Among them, f min It is the minimum value of the ordinate of all water quality low points corresponding to the groundwater depth DS;

[0028] When both the upward exploration distance and the downward exploration distance exist in all the two-sided distances within the depth interval, the depth parameter of the groundwater depth DS is set to f0; and the depth parameters of all the groundwater depths DS within the depth interval are obtained.

[0029] Furthermore, before predicting the groundwater quality, the average water depth of the groundwater is obtained, and based on the average water depth, the two-way environmental assessment nodes are obtained, including:

[0030] Before predicting the quality of groundwater, the groundwater to be predicted is recorded as predicted water, all groundwater depths DS corresponding to the predicted water are obtained, and the average value of all groundwater depths DS is recorded as the average water depth; the position equal to the average water depth in the groundwater depth DS of the predicted water is recorded as the optional node position; a map of the surface where the predicted water is located is obtained, and the two optional node positions with the farthest distance between them in the map are recorded as the two-way environmental assessment nodes.

[0031] Furthermore, the two-way detection method includes:

[0032] The water flow between the two-way environmental assessment nodes in the predicted water is recorded as the predicted water flow;

[0033] When there are optional node positions in the predicted water flow, the optional node positions are recorded as the predicted positions; when there are no optional node positions in the predicted water flow, the predicted water flow is evenly divided into k segments, and the midpoint of each segment is recorded as the predicted position, where k is the number of optional node positions;

[0034] For any predicted position, obtain the two-sided distance and groundwater depth DS corresponding to the predicted position, and record them as predicted two-sided distance and predicted groundwater depth YD respectively; when the predicted groundwater depth YD

[0035] The ground depth parameter is set to When the water quality is sampled at the position Z0 above the bottom of the predicted water corresponding to the predicted position, where Z0 is the ground depth parameter of the predicted groundwater depth YD;

[0036] When the ground depth parameter for predicting groundwater depth YD is set to When , water quality sampling is carried out at Z0 upward from the bottom of the predicted water corresponding to the predicted position.

[0037] Furthermore, the two-way detection method also includes:

[0038] When the predicted double-surface distance in the ground depth interval of the predicted groundwater depth YD is recorded as the upward exploration distance and the ground depth parameter of the predicted groundwater depth YD is set to f0, the ground depth analysis method is used The ground depth parameter of the predicted groundwater depth YD is recorded as Z1, and the bottom of the predicted water corresponding to the predicted position is calculated upward. Conduct water quality sampling at

[0039] When the predicted double-surface distance in the ground depth interval of the predicted groundwater depth YD is recorded as the down-diving distance and the ground depth parameter of the predicted groundwater depth YD is set to f0, the ground depth analysis method is used The ground depth parameter of the predicted groundwater depth YD is recorded as Z1, and the bottom of the predicted water corresponding to the predicted position is calculated upward. Conduct water quality sampling at

[0040] The water quality of the predicted water flow is predicted based on the water quality sampling results of the predicted water at all predicted locations.

[0041] Beneficial effects of the present invention: The present invention first obtains the water depth parameters and the ground depth parameters of the groundwater based on the depth of the groundwater. This has the advantage that by obtaining the water depth parameters of the groundwater, the distribution of pollutants in groundwater of different water depths and the location with the highest pollutant content can be obtained. By obtaining the ground depth parameters based on the water depth parameters, the approximate distribution of pollutant content in groundwater of different depths from the ground but the same water depth can be obtained, which helps to make the sampled groundwater fully reflect the actual content of pollutants in the groundwater in the subsequent quality prediction process, and then make the sampling results fit the distribution of pollutants in groundwater at different depths, making the quality prediction more comprehensive;

[0042] The present invention also obtains the average water depth of groundwater before predicting the quality of groundwater, and obtains a two-way environmental assessment node based on the average water depth; finally, a two-way detection method is used based on the ground depth parameter to detect the quality of groundwater between the two-way environmental assessment nodes, and the quality of groundwater is predicted based on the detection results. The advantage of this is that by obtaining the two-way environmental assessment node based on the average water depth, when facing different groundwater, groundwater sampling points that match the actual water depth of groundwater can be obtained, so that the quality detection obtained based on the two-way environmental assessment node can fit the water depth of the groundwater, thereby making the quality prediction more comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a flow chart of the steps of the method of the present invention;

[0044] Figure 2 It is a schematic diagram of obtaining the groundwater depth DS of the present invention;

[0045] Figure 3 It is a schematic diagram of obtaining the deep water parameter line of the present invention;

[0046] Figure 4 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] Example 1, first aspect, please refer to Figure 1 As shown, this application provides a groundwater environmental impact assessment quality prediction method based on Internet of Things nodes, including the following steps:

[0049] Step S1, obtaining the water depth parameter and the ground depth parameter of the groundwater based on the depth of the groundwater; Step S1 includes the following sub-steps:

[0050] Step S101, using a groundwater depth analysis method to analyze groundwater, and obtaining water depth parameters based on the analysis results; in the specific implementation process, by obtaining water depth parameters, the distribution of pollutants in groundwater with the same water depth and the location with the highest pollutant content can be determined, so as to help the sampling results in subsequent sampling to fully reflect the pollutant content in groundwater; the groundwater depth analysis method includes:

[0051] Step S1011, record the distance between the groundwater surface and the ground in the same vertical direction as the double-surface distance; record the distance between the groundwater bottom and the ground in the same vertical direction as the low-surface distance; and record the value of the low-surface distance minus the double-surface distance in the same vertical direction as the groundwater depth DS. Figure 2 As shown, DM1 is the ground, DM2 is the surface of the groundwater, and DM3 is the bottom of the groundwater. The distance between DM1 and DM2 is the double-surface distance, the distance between DM1 and DM3 is the low-surface distance, and the distance between DM2 and DM3 is the groundwater depth DS.

[0052] Step S1012, obtaining all groundwater depths DS corresponding to groundwater that has undergone quality inspection, and recording the interval formed by the minimum value and the maximum value of all groundwater depths DS as the water depth interval;

[0053] In the specific implementation process, for example, when all groundwater depths DS are obtained at one time of data acquisition, they are 4m, 3.2m, 5m, 2.9m, 3m, 4.4m and 3m, then the water depth interval can be obtained as [2.9m, 5m] through analysis; by obtaining the water depth interval, the range of the groundwater depth can be obtained, thereby obtaining the distribution of pollutant content in groundwater at different water depths, and thus obtaining the area with the highest pollutant content in groundwater at different water depths;

[0054] Step S1013, for any groundwater depth DS within the water depth interval, obtain all quality test results corresponding to the existing groundwater depth DS, and record them as deep water test results SC1 to deep water test results SC n ; For any water depth detection result SC n1 , the deep water test results SC n1 The distance between the groundwater surface and the groundwater bottom is recorded as the water level, where the water level is less than or equal to the groundwater depth DS and greater than or equal to 0;

[0055] In the specific implementation process, for example, when the groundwater depth DS is 5m, all quality inspection results corresponding to the groundwater depth DS of 5m in the existing database should be obtained;

[0056] Step S1014, establish a plane rectangular coordinate system, recorded as the same water level analysis coordinate system, wherein the unit of the vertical axis of the same water level analysis coordinate system is meter, and the coordinate points from the origin to the right in the horizontal axis of the same water level analysis coordinate system are deep water detection results SC1 to deep water detection results SC n ;

[0057] Step S1015: for any water depth detection result SC in the X axis of the same water level analysis coordinate system n1 , connection point (water depth detection result SC n1 , 0) and point (water depth detection result SC n1 , groundwater depth DS), and the connecting line is recorded as the water level analysis line SF n1 ; Based on deep water detection results SC n1 Get water level analysis line SF n1 The point with the lowest water quality is recorded as the low water quality point; the water level analysis line SF above the low water quality point n1 Recorded as the upper water level line, the water level analysis line SF below the water quality low point n1 Recorded as the lower water level line; the deep water detection result SC n1 The pollutant content of groundwater at the middle water level in the upper water level sub-line is recorded as the upper layer pollution content, and the deep water test result SC n1 The pollutant content of groundwater at the middle water level at the lower water level sub-line is recorded as the lower layer pollution content; when the upper layer pollution content is greater than or equal to the lower layer pollution content, the low point of water quality is recorded as the upper floating point; when the upper layer pollution content is less than the lower layer pollution content, the low point of water quality is recorded as the sinking point; when the low point of water quality is recorded as the upper floating point, the upper layer pollution content is recorded as the upper characteristic quantity of the low point of water quality; when the low point of water quality is recorded as the sinking point, the lower layer pollution content is recorded as the lower characteristic quantity of the low point of water quality; in the specific implementation process, please refer to Figure 3 As shown, SC1 to SC4 are deep water detection results SC1 to deep water detection results SC4, respectively, points DD1 to DD4 are low water quality points corresponding to deep water detection results SC1 to deep water detection results SC4, line segment LL1 is the deep water high pollution line, and through analysis, it is obtained that the sum of the upper characteristic quantities corresponding to all water quality low points is less than or equal to the sum of the lower characteristic quantities, then the ordinates of all points constituting the deep water high pollution line are adjusted to The deep water parameter line obtained later is line segment LL2;

[0058] Step S1016, obtaining the deep water detection results SC1 to the deep water detection results SC2 of the X-axis mid-coordinate point in the same water level analysis coordinate system. nAll corresponding water level analysis lines SF and corresponding water quality low points; the line segment fitted by all water quality low points is recorded as the deep water high pollution line; when the sum of the upper characteristic quantities corresponding to all water quality low points is less than or equal to the sum of the lower characteristic quantities, the ordinates of all points constituting the deep water high pollution line are adjusted to The obtained line segment is recorded as the deep water parameter line, where y0 is the ordinate of any point on the deep water high pollution line; when the sum of the upper characteristic quantities corresponding to all low water quality points is greater than the sum of the lower characteristic quantities, the ordinates of all points constituting the deep water high pollution line are adjusted to And the obtained line segment is recorded as the deep water parameter line, where Y is the groundwater depth DS; the vertical coordinate of the midpoint of the deep water parameter line is marked as the water depth parameter of the groundwater depth DS; in the specific implementation process, for example, when the data is obtained once, the groundwater depth DS is 10m, and the upper characteristic quantities of all the water quality low points corresponding to the deep water high pollution line are 500mg / L, 200mg / L, 100mg / L, 400mg / L and 300mg / L, respectively, and the lower characteristic quantities are 300mg / L and 400mg / L, respectively. Then, through analysis, it can be obtained that the sum of the upper characteristic quantities corresponding to all the water quality low points is greater than the sum of the lower characteristic quantities. For the vertical coordinate 4 of any point constituting the deep water high pollution line, the vertical coordinate of the point should be adjusted to 7; when the sum of the upper characteristic quantities corresponding to the water quality low points is greater than the sum of the lower characteristic quantities, it means that the content of pollutants above the deep water high pollution line is too much, so the deep water high pollution line should be moved up to ensure that the water depth parameters obtained subsequently can reflect the position with the highest pollutant content, thereby ensuring that the sampling results can fully reflect the pollution of groundwater;

[0059] Step S1017, obtaining water depth parameters of all groundwater depths DS within the water depth interval.

[0060] Step S102: Analyze the water depth parameters using a ground depth analysis method, and obtain the ground depth parameters based on the analysis results; the ground depth analysis method includes:

[0061] Step S1021, for any groundwater depth DS within the water depth interval, the interval formed by all double-sided distances in all deepwater detection results SC corresponding to the groundwater depth DS is recorded as the ground depth interval; for any double-sided distance within the ground depth interval, when the ordinate of the low water quality point corresponding to the deepwater detection result SC corresponding to the double-sided distance is less than or equal to the water depth parameter of the groundwater depth DS, the double-sided distance is recorded as the downward exploration distance; when the ordinate of the low water quality point corresponding to the water depth detection result SC corresponding to the double-sided distance is greater than the water depth parameter of the groundwater depth DS, the double-sided distance is recorded as the upward exploration distance;

[0062] In the specific implementation process, for example, in a data analysis, the groundwater depth DS is 5m, and the interval formed by all double-sided distances in all deep water detection results SC corresponding to the groundwater depth DS of 5m is [10m, 100m]. For any deep water detection result SC with a double-sided distance of 50m, the ordinate of the water quality low point of the deep water detection result SC is 3m, and the water depth parameter of the groundwater depth DS is 4m, then 50m is recorded as the downward detection distance, that is, when the groundwater depth DS is 5m and the double-sided distance is 50m, sampling detection should be carried out below the water depth parameter of the groundwater depth DS, so as to ensure that the sampling detection results can fit the actual water depth and the depth of the groundwater from the ground, so that the sampling results can fully reflect the pollution of the groundwater;

[0063] Step S1022: When all the two-sided distances within the depth interval are recorded as the upward exploration distance,

[0064] The ground depth parameter of the lower water depth DS is set to Among them, f0 is the water depth parameter of groundwater depth DS, f max is the maximum value of the ordinates of all water quality low points corresponding to the groundwater depth DS; in specific implementation, when all double-sided distances within the ground depth interval are recorded as upward exploration distances, it means that when detecting the groundwater depth DS of any double-sided distance, it should be detected upward based on the water depth parameter of the groundwater depth DS. Therefore, the ground depth parameter can be obtained by obtaining the water depth parameter of the groundwater depth DS and the maximum value of the ordinates of all water quality low points corresponding to the groundwater depth DS, thereby determining the actual sampling position;

[0065] Step S1023: When all the two-sided distances within the depth interval are recorded as the probing distance,

[0066] The ground depth parameter of the lower water depth DS is set to Among them, f min It is the minimum value of the ordinate of all water quality low points corresponding to the groundwater depth DS;

[0067] Step S1024, when there are both upward exploration distance and downward exploration distance in all double-sided distances within the depth interval, the depth parameter of the groundwater depth DS is set to f0; the ground depth parameters of all groundwater depths DS within the water depth interval are obtained; in the specific implementation process, when there are both upward exploration distance and downward exploration distance in all double-sided distances within the depth interval, it means that both above and below the position where the water depth parameter of the groundwater depth DS is located should be sampled, so there is no need to adjust the ground depth parameter, and the water depth parameter can be used directly.

[0068] Step S2, before predicting the quality of groundwater, obtain the average water depth of groundwater, and obtain the two-way environmental assessment node based on the average water depth; Step S2 includes: before predicting the quality of groundwater, record the groundwater to be predicted as predicted water, obtain all groundwater depths DS corresponding to the predicted water, and record the average value of all groundwater depths DS as the average water depth; record the position equal to the average water depth in the groundwater depth DS of the predicted water as the optional node position; obtain a map of the surface where the predicted water is located, and record the two optional node positions with the farthest distance between them in the map as the two-way environmental assessment nodes. In the specific implementation process, the two optional node positions with the farthest distance between them in the map are used as the two-way environmental assessment nodes to ensure that the sampled groundwater can fully reflect the actual water quality of the entire groundwater. In actual situations, the position selection of the two-way environmental assessment nodes can be adjusted according to the actual terrain conditions and the distribution of groundwater.

[0069] Step S3, using a bidirectional detection method based on the ground depth parameter to detect the quality of groundwater between the bidirectional environmental assessment nodes, and predicting the quality of groundwater based on the detection result; the bidirectional detection method includes: step S301, recording the water flow between the bidirectional environmental assessment nodes in the predicted water as the predicted water flow;

[0070] Step S302, when there is an optional node position in the predicted water flow, the optional node position is recorded as the predicted position; when there is no optional node position in the predicted water flow, the predicted water flow is evenly divided into k segments, and the midpoint of each segment is recorded as the predicted position, where k is the number of optional node positions;

[0071] Step S303: for any predicted position, obtain the two-sided distance and groundwater depth DS corresponding to the predicted position, and record them as predicted two-sided distance and predicted groundwater depth YD respectively; when the ground depth parameter of predicted groundwater depth YD is set to When the water quality is sampled at the position Z0 above the bottom of the predicted water corresponding to the predicted position, where Z0 is the ground depth parameter of the predicted groundwater depth YD;

[0072] Step S304, when the ground depth parameter for predicting the groundwater depth YD is set to When the water quality sampling is performed at the position Z0 upward from the bottom of the predicted water corresponding to the predicted position; in the specific implementation process, for example, if the ground depth parameter of the predicted groundwater depth YD is set to 7m, the water quality sampling should be performed at the position 7m upward from the bottom of the predicted water below the predicted position;

[0073] Step S305: when the predicted double-surface distance in the ground depth interval of the predicted groundwater depth YD is recorded as the upward exploration distance and the ground depth parameter of the predicted groundwater depth YD is set to f0, the ground depth analysis method is used to The ground depth parameter of the predicted groundwater depth YD is recorded as Z1, and the bottom of the predicted water corresponding to the predicted position is calculated upward. Conduct water quality sampling at

[0074] Step S306: when the predicted double-surface distance in the ground depth interval of the predicted groundwater depth YD is recorded as the down-diving distance and the ground depth parameter of the predicted groundwater depth YD is set to f0, the ground depth analysis method is used to The ground depth parameter of the predicted groundwater depth YD is recorded as Z1, and the bottom of the predicted water corresponding to the predicted position is calculated upward. Conduct water quality sampling at

[0075] Step S307: predicting the water quality of the predicted water flow based on the water quality sampling results of the predicted water at all predicted locations.

[0076] Embodiment 2, second aspect, the difference between this embodiment and embodiment 1 is that, in step S1015, when the water quality low point and the point (water depth detection result SC n1 , 0) coincides, the water level analysis line SF n1 The upper water level line is recorded, and the lower water level line of the water quality point is not set. At the same time, the low water quality point is directly recorded as the sinking point; when the low water quality point is at the same point (the water depth detection result SC n1 , groundwater depth DS) coincides with the water level analysis line SF n1 It is recorded as the lower water level sub-line, and the upper water level sub-line of the water quality point is not set. At the same time, the low water quality point is directly recorded as the upper floating point;

[0077] In the specific implementation process, when the water quality is low and the point (water depth detection result SC n1 , 0) coincides, indicating that the water quality above the low water quality point is higher than the water quality at the low water quality point, indicating that the pollutants sink in the vertical direction where the low water quality point is located at this time, and the low water quality point should be recorded as the sinking point; when the low water quality point and point (water depth detection result SC n1 , when the groundwater depth DS) coincides, it means that the water quality below the low point is higher than the water quality at the low point, which means that the pollutants float upward in the vertical direction where the low point of water quality is located. In this case, the low point of water quality should be recorded as the upward floating point.

[0078] Example 3, please refer to Figure 4 As shown, Figure 4The structural diagram of an electronic device is illustrated, and the electronic device may include: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus. The memory stores computer-readable instructions, and the processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in the groundwater environmental assessment quality prediction method based on the Internet of Things node are executed to achieve the following functions: first, the water depth parameter of the groundwater and the ground depth parameter of the groundwater are obtained based on the depth of the groundwater; then, before predicting the quality of the groundwater, the average water depth of the groundwater is obtained, and the two-way environmental assessment node is obtained based on the average water depth; finally, the groundwater quality between the two-way environmental assessment nodes is detected using the two-way detection method based on the ground depth parameter, and the groundwater quality is predicted based on the detection result.

[0079] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk.

[0080] Embodiment 4, the present application also provides a computer-readable storage medium, the present application provides a storage medium, on which a computer program is stored. When the computer program is executed by the processor, the steps in the groundwater environmental impact assessment quality prediction method based on the Internet of Things node are executed to achieve the following functions: first, the water depth parameter of the groundwater and the ground depth parameter of the groundwater are obtained based on the depth of the groundwater; then, before predicting the quality of the groundwater, the average water depth of the groundwater is obtained, and a two-way environmental impact assessment node is obtained based on the average water depth; finally, the quality of the groundwater between the two-way environmental impact assessment nodes is detected using a two-way detection method based on the ground depth parameter, and the quality of the groundwater is predicted based on the detection result.

[0081] Through the description of the above implementation methods, the embodiments of the present invention can be provided as methods, systems or computer program products. Based on such an understanding, the above technical solutions can be essentially or partly contributed to the prior art in the form of software products, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and include several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0082] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can be electrical, mechanical or other forms.

[0083] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A groundwater environmental assessment quality prediction method based on Internet of Things nodes, characterized in that: The steps include: Obtaining groundwater depth parameters and groundwater depth parameters based on the depth of groundwater; The distance between the groundwater surface and the ground in the same vertical direction is recorded as the double-surface distance; the distance between the groundwater bottom and the ground in the same vertical direction is recorded as the low-surface distance; the value of the low-surface distance minus the double-surface distance in the same vertical direction is recorded as the groundwater depth DS; Obtain all groundwater depths DS corresponding to groundwater that has undergone quality testing, and record the interval formed by the minimum and maximum values ​​of all groundwater depths DS as the water depth interval; The water depth parameters are analyzed using the ground depth analysis method, and the ground depth parameters obtained based on the analysis results include: For any groundwater depth DS within the water depth interval, the interval formed by all double-sided distances in all deepwater detection results SC corresponding to the groundwater depth DS is recorded as the ground depth interval; for any double-sided distance within the ground depth interval, when the ordinate of the low water quality point corresponding to the deepwater detection result SC corresponding to the double-sided distance is less than or equal to the water depth parameter of the groundwater depth DS, the double-sided distance is recorded as the downward exploration distance; when the ordinate of the low water quality point corresponding to the deepwater detection result SC corresponding to the double-sided distance is greater than the water depth parameter of the groundwater depth DS, the double-sided distance is recorded as the upward exploration distance; When all double-sided distances within the depth interval are recorded as the upward exploration distance, the ground depth parameter of the groundwater depth DS is set to , where f0 is the water depth parameter of groundwater depth DS, f max It is the maximum value of the ordinates of all water quality low points corresponding to the groundwater depth DS; When all double-sided distances within the depth interval are recorded as the down-drilling distance, the ground depth parameter of the groundwater depth DS is set to , where f min It is the minimum value of the ordinate of all water quality low points corresponding to the groundwater depth DS; Before predicting the quality of groundwater, obtain the average groundwater depth and obtain the two-way environmental assessment node based on the average water depth; Based on the ground depth parameters, the two-way detection method is used to detect the quality of groundwater between the two-way environmental assessment nodes, and the quality of groundwater is predicted based on the detection results; The two-way detection method includes: The water flow between the two-way environmental assessment nodes in the predicted water is recorded as the predicted water flow; When there are optional node positions in the predicted water flow, the optional node positions are recorded as the predicted positions; when there are no optional node positions in the predicted water flow, the predicted water flow is evenly divided into k segments, and the midpoint of each segment is recorded as the predicted position, where k is the number of optional node positions; For any predicted location, obtain the two-sided distance and groundwater depth DS corresponding to the predicted location, and record them as predicted two-sided distance and predicted groundwater depth YD respectively; when the ground depth parameter of predicted groundwater depth YD is set to or When the predicted water level at the predicted position is or Carry out water quality sampling.

2. The groundwater environmental impact assessment quality prediction method based on Internet of Things nodes according to claim 1 is characterized in that: The water depth parameters of groundwater and the ground depth parameters of groundwater obtained based on the depth of groundwater include: Analyze groundwater using groundwater depth analysis method and obtain water depth parameters based on the analysis results; Groundwater depth analysis methods include: For any groundwater depth DS within the water depth range, obtain all quality test results corresponding to the existing groundwater depth DS, and record them as deep water test results SC1 to deep water test results SC n ; For any deep water detection result SC n1 , the deep water test results SC n1 The distance between the groundwater surface and the groundwater bottom is recorded as the water level, where the water level is less than or equal to the groundwater depth DS and greater than or equal to 0; Establish a plane rectangular coordinate system, recorded as the same water level analysis coordinate system, where the vertical axis of the same water level analysis coordinate system is in meters, and the coordinate points from the origin to the right in the horizontal axis of the same water level analysis coordinate system are deep water detection results SC1 to deep water detection results SC n ; For any deep water detection result SC in the X axis of the same water level analysis coordinate system n1 , the horizontal axis is the deep water detection result SC n1 , the vertical coordinate is 0 and the horizontal coordinate is the deep water detection result SC n1 , the vertical coordinate is the point with groundwater depth DS, and the connecting line is recorded as water level analysis line SF n1 ; Based on deep water detection results SC n1 Get water level analysis line SF n1 The point with the lowest water quality is recorded as the low water quality point; the water level analysis line SF above the low water quality point n1 Recorded as the upper water level line, the water level analysis line SF below the water quality low point n1 Recorded as the lower water level line; the deep water detection result SC n1 The pollutant content of groundwater at the middle water level in the upper water level sub-line is recorded as the upper layer pollution content, and the deep water test result SC n1 The pollutant content of groundwater at the middle water level at the lower water level sub-line is recorded as the lower layer pollution content; when the upper layer pollution content is greater than or equal to the lower layer pollution content, the low point of water quality is recorded as the upper floating point; when the upper layer pollution content is less than the lower layer pollution content, the low point of water quality is recorded as the sinking point; when the low point of water quality is recorded as the upper floating point, the upper layer pollution content is recorded as the upper characteristic quantity of the low point of water quality; when the low point of water quality is recorded as the sinking point, the lower layer pollution content is recorded as the lower characteristic quantity of the low point of water quality; Groundwater depth analysis methods also include: Get the deep water detection results SC1 to SC1 of the X-axis mid-coordinate point in the same water level analysis coordinate system n All corresponding water level analysis lines SF and corresponding water quality low points; the line segment fitted by all water quality low points is recorded as the deep water high pollution line; when the sum of the upper characteristic quantities corresponding to all water quality low points is less than or equal to the sum of the lower characteristic quantities, the ordinates of all points constituting the deep water high pollution line are adjusted to , and the obtained line segment is recorded as the deep water parameter line, where y0 is the ordinate of any point on the deep water high pollution line; when the sum of the upper characteristic quantities corresponding to all low water quality points is greater than the sum of the lower characteristic quantities, the ordinates of all points constituting the deep water high pollution line are adjusted to , and the obtained line segment is recorded as the deep water parameter line, where Y is the groundwater depth DS; the vertical coordinate of the midpoint of the deep water parameter line is marked as the water depth parameter of the groundwater depth DS; Get the water depth parameters of all groundwater depths DS within the water depth interval.

3. The groundwater environmental impact assessment quality prediction method based on Internet of Things nodes according to claim 2 is characterized in that: The depth analysis methods also include: When both the upward exploration distance and the downward exploration distance exist in all the two-sided distances within the depth interval, the depth parameter of the groundwater depth DS is set to f0; and the depth parameters of all the groundwater depths DS within the depth interval are obtained.

4. The groundwater environmental impact assessment quality prediction method based on Internet of Things nodes according to claim 3 is characterized in that: Before predicting the quality of groundwater, the average water depth of groundwater is obtained, and the two-way environmental assessment nodes are obtained based on the average water depth, including: Before predicting the quality of groundwater, the groundwater to be predicted is recorded as predicted water, all groundwater depths DS corresponding to the predicted water are obtained, and the average value of all groundwater depths DS is recorded as the average water depth; the position equal to the average water depth in the groundwater depth DS of the predicted water is recorded as the optional node position; a map of the surface where the predicted water is located is obtained, and the two optional node positions with the farthest distance between them in the map are recorded as the two-way environmental assessment nodes.

5. The groundwater environmental impact assessment quality prediction method based on Internet of Things nodes according to claim 4 is characterized in that: The two-way detection method also includes: When the predicted double-surface distance in the ground depth interval of the predicted groundwater depth YD is recorded as the upward exploration distance and the ground depth parameter of the predicted groundwater depth YD is set to f0, then Z0 is equal to f0, and the ground depth analysis method is used The ground depth parameter of the predicted groundwater depth YD is recorded as Z1, and the bottom of the predicted water corresponding to the predicted position is calculated upward. Conduct water quality sampling at When the predicted double-surface distance in the ground depth interval of the predicted groundwater depth YD is recorded as the down-diving distance and the ground depth parameter of the predicted groundwater depth YD is set to f0, then Z0 is equal to f0, and the ground depth analysis method is used The ground depth parameter of the predicted groundwater depth YD is recorded as Z1, and the bottom of the predicted water corresponding to the predicted position is calculated upward. Conduct water quality sampling at The water quality of the predicted water flow is predicted based on the water quality sampling results of the predicted water at all predicted locations.

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