CN116929487B - Underground water level dynamic trend prediction algorithm based on well engineering operation - Google Patents
Underground water level dynamic trend prediction algorithm based on well engineering operation Download PDFInfo
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Abstract
The invention relates to the technical field of data analysis, in particular to a groundwater level dynamic trend prediction algorithm based on the well industry, which comprises the following steps: step 1: confirming a drilling position through coordinate selection, and carrying a liquid level monitor on the drilling position by using drilling equipment to execute drilling operation; step 2: acquiring acquisition data of drilling equipment carried with a liquid level monitor, and constructing an underground water area model according to the acquisition data of the liquid level monitor; step 3: calculating groundwater reserves of the underground water area based on the underground water area model, collecting humidity data of soil layers on the upper portion of the underground water area, and further solving water saturation water absorption; the invention can complete the calculation of the real-time dynamic change trend of the underground water level by the constructed underground water area model, and the calculation process of the invention applies a large amount of priori data, so that the result area output by the algorithm is more likely, and meanwhile, the algorithm can also obtain the dynamic change threshold value of the water level, thereby further ensuring the safety in the well working process.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a groundwater level dynamic trend prediction algorithm based on the well industry.
Background
The water level monitoring technology is commonly used for underground water level monitoring of mining deep wells, geothermal exploration, gas reservoir well drilling, geological drilling and other scenes, and can bring more reliable safety guarantee for underground workers through underground water level monitoring.
The invention patent with application number 202211181400.8 discloses a groundwater level dynamic prediction method, which is characterized by comprising the following steps: acquiring historical time sequence data of the underground water level: setting indexes of the acquired historical time sequence data of the underground water level; the set indexes are given corresponding weights, and the indexes are screened according to the given weights: constructing a training set according to the screened indexes and the historical time sequence data; based on the training set, training the first, second and third groundwater level dynamic prediction models respectively to obtain three trained models; comparing the predicted values of the three models based on the historical true value of the groundwater level, and screening out a model with the smallest error as an optimal dynamic prediction model of the groundwater level; and predicting the groundwater level to be predicted by adopting an optimal groundwater level dynamic prediction model.
The application aims at solving the problems: "human activity causes dynamic changes in groundwater, mass production results in continuous drop of groundwater level, and a series of ecological negative effects are produced. Therefore, the timely acquisition of the groundwater level is extremely important, and the current groundwater level monitoring technology is perfect, but the data size of the monitoring data is large, the frequency is high, and a plurality of manpower and material resources are consumed.
However, aiming at the water level monitoring technology under the current well engineering scene, various data of the underground water level are not integrated to predict the change of the underground water level, so that a larger lifting space still exists for the accuracy of the obtained underground water level prediction result.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides a groundwater level dynamic trend prediction algorithm based on the well operation industry, and solves the technical problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
an underground water level dynamic trend prediction algorithm based on well engineering operation comprises the following steps:
step 1: confirming a drilling position through coordinate selection, and carrying a liquid level monitor on the drilling position by using drilling equipment to execute drilling operation;
step 2: acquiring acquisition data of drilling equipment carried with a liquid level monitor, and constructing an underground water area model according to the acquisition data of the liquid level monitor;
step 3: calculating groundwater reserves of the underground water area based on the underground water area model, collecting humidity data of soil layers on the upper portion of the underground water area, and further solving water saturation water absorption;
step 4: receiving the water saturation water absorption data obtained in the step 4, obtaining the water content of the upper soil layer area of the underground water area based on the water saturation water absorption data, and obtaining an extremum of the underground water area model according to the water saturation water absorption and the water content of the upper soil layer area of the underground water area;
step 5: setting a dynamic trend threshold of the groundwater level according to the extremum of the groundwater area model obtained in the step 4;
step 6: and (5) predicting the value of the rising or falling of the groundwater level based on the groundwater level dynamic trend threshold value set in the step (5).
Furthermore, in the step 1, the selected coordinates for confirming the drilling position are manually set by the user side, and the selected coordinates are not less than three groups, and when the drilling equipment is applied to carry the liquid level monitor to perform the drilling operation on the drilling position, the user side synchronously sets the drilling rate and the azimuth angle of the drilling equipment;
wherein the drilling azimuth angle setting of the drilling apparatus defaults to vertical.
Furthermore, after the manual setting of the selected coordinates is completed, the step 1 obtains the effective area of the result based on the calculation algorithm of the selected coordinates, and the formula is as follows:
wherein: m (x ', y ', z ') is the effective coordinates; (x, y, z) is a selected coordinate; k is the number of selected coordinates; s is the drilling rate setting result; μ is a drilling setting azimuth angle offset, and when the drilling azimuth angle of the drilling equipment is vertical, μ is 1; sigma is a correction coefficient;
the selected coordinates finish the output of the effective coordinates through the above formula, and further finish the confirmation of the effective area based on the output effective coordinates.
Further, a humidity sensor is deployed on the liquid level monitor and is used for monitoring the humidity of the soil contacted with the drilling end of the drilling equipment in real time, a monitoring period is manually set by the humidity sensor through a user end, the humidity sensor collects the humidity of the soil contacted with the drilling end of the drilling equipment in real time according to the monitoring period, and the collected data of the humidity of the soil contacted with the drilling end of the drilling equipment is stored in the interior;
the humidity sensor deployed on the liquid level monitor runs in real time when the drilling equipment runs, a humidity threshold is set through a user side, when the humidity data of the soil contacted with the drilling end of the drilling equipment is collected and is at the humidity threshold, the liquid level monitor is triggered to run, when the liquid level monitor runs in real time and detects the underground water surface, the humidity sensor is triggered to finish running, and the operation of transmitting stored data to the liquid level monitor is completed before the running is finished.
Further, the collecting data of the liquid level monitor obtained in the step 2 includes: a time stamp of the groundwater level and the groundwater level detected by the liquid level monitor;
and 2, synchronously acquiring an operation starting time stamp of the drilling equipment when the step is executed, further calculating the drilling depth of the drilling equipment based on the time stamp of the underground water surface detected by the liquid level monitor, the operation starting time stamp of the drilling equipment and the drilling speed, respectively generating two sets of coordinates for constructing the underground water area model based on the corresponding selected coordinates of each drilling position by the drilling depth and the underground water level, and completing the construction of the underground water area model by applying the coordinates for constructing the underground water area model.
Further, in the step 3, when the water saturation water absorption is calculated according to the humidity data of the upper soil layer of the underground water area, a threshold is manually set by a user side, the soil layer humidity which does not participate in the calculation of the water saturation water absorption is confirmed, the soil layer area which does not participate in the calculation of the water saturation water absorption is further calculated based on the corresponding coordinates of the confirmed soil layer humidity, and then the soil layer area is calculated according to the underground water area model, the soil layer area which does not participate in the calculation of the water saturation water absorption and the corresponding selected coordinates of the drilling position, wherein the water saturation water absorption is calculated according to the following formula:
V＝v 0 ·n·|C bulk /δ|-v cur ；
wherein: v is the water saturation water absorption capacity; v 0 The soil layer area volume is calculated for the water saturation water absorption; n is soil layer porosity; c (C) bulk The heat capacity of the soil layer; delta is a substitution coefficient; v cur And obtaining the current water content of the soil layer area by using the water saturation water absorption.
Still further, the replacement coefficient δ is manually set by the user side, and follows a setting logic in which the replacement coefficient δ is inversely proportional to the soil layer porosity n.
Further, the current water content of the soil layer area is obtained by the water saturation water absorption amount through the following formula;
w％＝v 0 ·v p 2 +χ·v p +C；
wherein: w% is water saturation water absorption capacity, and the current water content of the soil layer area is obtained; v 0 The soil layer area volume is calculated for the water saturation water absorption; vp is the ultrasonic velocity; χ is the offset; c is a fitting constant of the water saturation water absorption capacity to calculate the current water content of the soil layer region to be w% and v 0 Is a product of (2);
the value of sigma is the absolute value of the product of the water saturation water absorption V and the current water content w% of the soil layer area.
Furthermore, the underground water area model performs volume calculation by applying coordinates during construction, and the sum of the volume of the underground water area model and the water saturation water absorption capacity and the water content of the soil layer area at the upper part of the underground water area is the extremum obtained in the step 4.
Further, when the step 6 is executed, the cross-sectional area of the underground water area model is synchronously obtained, the earth humidity is further set by receiving the underground water liquid level currently detected by the liquid level monitor and the earth humidity of the drilling equipment drilling end contact monitored by the humidity sensor, the conversion ratio of the earth humidity to the underground water reserve is further set, the underground water reserve is calculated according to the earth humidity, the difference is calculated according to the calculated underground water reserve and the underground water reserve corresponding to the underground water area model calculated by the liquid level monitor, the difference is used as a dividend, the cross-sectional area of the water area model is used as a divisor, the quotient is calculated, and the obtained quotient is recorded as the groundwater level rising or falling value predicted in the step 6.
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
1. the invention provides an underground water level dynamic trend prediction algorithm based on well engineering operation, which is executed by steps in the algorithm, and can complete the calculation of the real-time dynamic trend of the underground water level by using a constructed underground water area model, wherein a great amount of priori data is applied to the calculation process, so that the result area output by the algorithm is more likely, and meanwhile, the algorithm can also obtain the dynamic change threshold of the water level, thereby further providing user reference and ensuring the safety in the well working process.
2. In the invention, the algorithm can also calculate the application range of the result output by the algorithm in the executing process of the steps, so that the calculated algorithm application range is matched with the algorithm output result, the algorithm output result is assisted to be applied by a user in a designated range, and the effectiveness of the algorithm output result in the actual application process is further ensured.
3. In the process of executing the steps, the algorithm analyzes the soil layer at the upper part of the underground water at the drilling position, and the reliability of the final result output in the algorithm can be effectively ensured based on the analysis result of the upper soil layer.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a flow chart of a groundwater level dynamic trend prediction algorithm based on well operation;
fig. 2 is a schematic diagram of the structural principle of the liquid level monitor in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. 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.
The invention is further described below with reference to examples.
Example 1
The underground water level dynamic trend prediction algorithm based on the well operation industry of the embodiment, as shown in fig. 1-2, comprises the following steps:
step 1: confirming a drilling position through coordinate selection, and carrying a liquid level monitor on the drilling position by using drilling equipment to execute drilling operation;
step 2: acquiring acquisition data of drilling equipment carried with a liquid level monitor, and constructing an underground water area model according to the acquisition data of the liquid level monitor;
step 3: calculating groundwater reserves of the underground water area based on the underground water area model, collecting humidity data of soil layers on the upper portion of the underground water area, and further solving water saturation water absorption;
step 4: receiving the water saturation water absorption data obtained in the step 4, obtaining the water content of the upper soil layer area of the underground water area based on the water saturation water absorption data, and obtaining an extremum of the underground water area model according to the water saturation water absorption and the water content of the upper soil layer area of the underground water area;
step 5: setting a dynamic trend threshold of the groundwater level according to the extremum of the groundwater area model obtained in the step 4;
step 6: predicting the value of the rising or falling of the underground water level based on the underground water level dynamic trend threshold value set in the step 5;
step 1, after manual setting of the selected coordinates is completed, the effective area of the result is obtained based on a selected coordinate calculation algorithm, and the formula is as follows:
wherein: m (x ', y ', z ') is the effective coordinates; (x, y, z) is a selected coordinate; k is the number of selected coordinates; s is the drilling rate setting result; μ is a drilling setting azimuth angle offset, and when the drilling azimuth angle of the drilling equipment is vertical, μ is 1; sigma is a correction coefficient;
the selected coordinates finish the output of the effective coordinates through the above method, and further finish the confirmation of the effective area based on the output effective coordinates;
step 3, when the water saturation water absorption is calculated according to the soil humidity data of the upper part of the underground water area, manually setting a threshold value through a user side, confirming the soil humidity which does not participate in the water saturation water absorption calculation, further calculating a soil area which does not participate in the water saturation water absorption calculation based on the confirmed soil humidity corresponding coordinates, calculating the water saturation water absorption calculation soil area according to the underground water area model, the soil area which does not participate in the water saturation water absorption calculation and the drilling position corresponding to the selected coordinates, and calculating the water saturation water absorption by the following formula:
V＝v 0 ·n·|C bulk /δ|-v cur ；
wherein: v is the water saturation water absorption capacity; v 0 The soil layer area volume is calculated for the water saturation water absorption; n is soil layer porosity; c (C) bulk The heat capacity of the soil layer; delta is a substitution coefficient; v cur Obtaining the current water content of the soil layer area by water saturation water absorption;
the replacement coefficient delta is manually set by a user side, and follows a setting logic that the replacement coefficient delta is inversely proportional to the soil layer porosity n;
and 6, synchronously acquiring the cross-sectional area of the underground water area model, receiving the underground water level currently detected by the liquid level monitor and the soil humidity at the end of the drilling equipment drilling end, which is monitored by the humidity sensor, further setting the conversion ratio of the soil humidity and the underground water reserve, calculating the underground water reserve according to the soil humidity, calculating a difference value between the calculated underground water reserve and the underground water reserve corresponding to the underground water area model calculated by the liquid level monitor, taking the difference value as a dividend, taking the cross-sectional area of the water area model as a divisor, calculating a quotient, and recording the quotient as the groundwater level rising or falling value predicted in the step 6.
In this embodiment, by executing the steps 1 to 6, an effective prediction effect can be brought to the water level monitoring in the well working process, and compared with the prior art, the prediction result is more accurate and finer, so that further safety maintenance is brought to the staff in the well working process;
in addition, through the description of the formula, the effective application range of the calculation result of the method can be further limited, and necessary data support is provided for the final output result of the algorithm;
see fig. 2:
a liquid level acquisition unit;
the liquid level acquisition unit mainly comprises a throw-in type liquid level probe and a protection cable. The protection cable contains an air duct, and the liquid level probe back pressure cavity is communicated with the atmosphere through the cable air duct.
A comprehensive control unit;
the comprehensive control unit consists of a liquid level signal acquisition module, a liquid level display module and a digital paperless recording module.
An alarm unit;
the alarm unit consists of an automatic alarm for high and low liquid level.
A power supply unit;
the power supply unit consists of an outdoor monocrystalline solar photovoltaic power generation panel, a solar controller and a storage battery.
A box body and a vertical rod;
mainly comprises a liquid level monitor upright rod and an outdoor stainless steel box body.
Collecting and displaying the liquid level in real time;
liquid level collection;
the underground water level monitor adopts a drop-in measurement mode, and the liquid level probe converts the water pressure at the position of the liquid level probe into an electric signal and transmits the signal to the ground through a cable. The device supports the data acquisition of any water depth of the non-vertical holes with the depth of 0-1000 meters and supports the real-time acquisition.
Liquid level display
The groundwater level monitor supports local display of real-time liquid level data. The control unit can obtain the water depth h through collecting the water pressure signal P of the liquid level probe by the formula P=ρgh (P is the measured water depth water pressure, ρ is the water density, g is the gravity acceleration, and h is the water depth), and the h value is displayed in real time by the liquid level display module, so that the local check is facilitated.
Recording historical liquid level data in a paperless manner;
the groundwater level monitor supports paperless recording of historical liquid level data. The recorder is provided with an RS485 communication interface, an RJ45 interface and a USB interface. Supporting the U disk to export historical data; supporting setting of a recording interval; supporting real-time curve display; history curve recall and data comparison display are supported.
Data query informatization
The ground water level monitor is internally provided with a 4G wireless transmission module which supports data remote transmission. The water level monitors at different places can be remotely managed on line through software. The following functions are realized:
liquid level data remote collection (support equipment grouping management)
Real-time liquid level data remote display
Equipment state monitoring (electric quantity, charge and discharge state, fault state)
Historical data on-line storage and report management (supporting report statistics, analysis and export)
Operating voltage: 12 VDC-24 VDC;
rated power: 20W
Rated range: gauge pressure 10MPa (MAX), liquid level 1000mH2O (MAX);
collecting signals: 4-20 mA current;
probe specification: the diameter d of the probe is less than 28mm, the length is less than 20mm, and the probe is made of 304 stainless steel;
measurement accuracy: BFSL is less than or equal to +/-0.25 percent FSO;
long-term stability: FSO is less than or equal to +/-0.1 percent per year;
probe cable length: the length is supported and customized, the total length is less than or equal to 1000 meters, the middle is seamless, and steel wire reinforcing ribs are arranged in the middle;
protection grade: IP68;
operating temperature: the probe is at 0-85 ℃, and the control part is at-40-85 ℃;
and (3) data recording: the method comprises the steps of supporting record interval setting, supporting rolling record and recording liquid level data for 1 year at the longest;
communication interface: RS485 (Modbus-RTU protocol)/RJ 45 portal/4G.
Checking the signal coverage condition of the mobile phone:
and selecting a telecom operator with an Internet of things card in the liquid level monitor, and checking mobile phone signals near the to-be-installed position by using mobile phones of the same telecom operator, wherein the network can normally browse the webpage due to the small data size of the liquid level monitor.
Checking and installing the geographical condition of the liquid level monitor upright rod:
the solar panel is installed at the top of the vertical rod, and the solar panel is required to face in the southeast direction without shielding. The angle of the solar bracket is set in factory, and the laryngeal cuff can be fixed after being adjusted. The drainage around the upright posts is smooth, and no obstacle is involved.
And (3) vertical rod installation:
foundation excavation: the foundation pit is 600mm long by 600mm wide by 800mm deep;
and (3) pouring a foundation: installing a reinforcement cage and a pole setting base, installing a grounding, embedding a wire pipe and pouring concrete;
fixing the vertical rod: the pole setting pole body is perpendicular with ground, guarantees the firm in connection of pole body and earth connection, guarantees the firm combination of pole body and rag bolt, guarantees that the pole body is connected firm with control box, solar panel.
Liquid level probe installation:
the cable limiting block is adjusted, so that the length of the cable is slightly smaller than the design depth of the drilling hole, and the probe is ensured not to touch the bottom sludge. And (3) putting the probe into the drill hole to be tested, covering the drill hole by using the limiting block after the cables are all put into the drill hole, and fixing the limiting block. The ground part is connected with the cable, and the threading pipe is directly buried and laid to the upright rod.
And (3) cable access:
the cable is connected to the control unit.
Device debugging and verification:
and debugging the functions of the equipment, training before delivery, and handling the verification procedure.
Example 2
On the aspect of implementation, on the basis of embodiment 1, this embodiment further specifically describes, with reference to fig. 1, a groundwater level dynamic trend prediction algorithm based on well operation in embodiment 1:
in the step 1, the selected coordinates used for confirming the drilling position are manually set by a user terminal, and the selected coordinates are not less than three groups, and when the drilling equipment is applied to carry the liquid level monitor to perform the drilling operation on the drilling position, the user terminal synchronously sets the drilling speed and the azimuth angle of the drilling equipment;
wherein the drilling azimuth angle setting of the drilling apparatus defaults to vertical.
With the above arrangement, the specified operating logic is provided for the hardware device used to implement the algorithm.
As shown in fig. 1, a humidity sensor is deployed on the liquid level monitor, the humidity sensor is used for monitoring the humidity of the soil contacted with the drilling end of the drilling equipment in real time, the humidity sensor is manually set with a monitoring period through a user end, the humidity sensor collects the humidity of the soil contacted with the drilling end of the drilling equipment in real time according to the monitoring period, and the collected data of the humidity of the soil contacted with the drilling end of the drilling equipment is stored in the interior;
the humidity sensor deployed on the liquid level monitor runs in real time when the drilling equipment runs, a humidity threshold is set through a user side, when the humidity data of the soil contacted with the drilling end of the drilling equipment is collected and is at the humidity threshold, the liquid level monitor is triggered to run, when the liquid level monitor runs in real time and detects the underground water surface, the humidity sensor is triggered to finish running, and the operation of transmitting stored data to the liquid level monitor is completed before the running is finished.
Through the arrangement, further operation logic optimization is provided for the hardware equipment used for implementing the algorithm, the algorithm implementation process is ensured, and the data acquisition is completed through the hardware equipment, and meanwhile, the energy is saved.
As shown in fig. 1, the liquid level monitor acquired in step 2 includes: a time stamp of the groundwater level and the groundwater level detected by the liquid level monitor;
and 2, synchronously acquiring an operation starting time stamp of the drilling equipment when the step is executed, further calculating the drilling depth of the drilling equipment based on the time stamp of the underground water surface detected by the liquid level monitor, the operation starting time stamp of the drilling equipment and the drilling speed, respectively generating two sets of coordinates for constructing the underground water area model based on the corresponding selected coordinates of each drilling position by the drilling depth and the underground water level, and completing the construction of the underground water area model by applying the coordinates for constructing the underground water area model.
The above arrangement provides necessary data support for the construction of the underground water area model, and ensures that the underground water area model can be stably generated.
Example 3
On the aspect of implementation, on the basis of embodiment 1, this embodiment further specifically describes, with reference to fig. 1, a groundwater level dynamic trend prediction algorithm based on well operation in embodiment 1:
the current water content of the soil layer area is obtained through the following formula;
w＝v 0 ·v p 2 +χ·v p +C；
wherein: w is the water saturation water absorption capacity, and the current water content of the soil layer area is obtained; v 0 The soil layer area volume is calculated for the water saturation water absorption; v p Is the ultrasonic velocity; χ is the offset; c is a fitting constant of water saturation water absorption capacity to calculate soil layer area under simulated rain state, and water saturation water absorption capacity to calculate soilThe current moisture content of the layer region is w and v 0 Is a product of (2);
the value of sigma is the absolute value of the product of the water saturation water absorption V and the current water content w of the soil layer area.
According to the formula calculation, the current water content of the soil layer area can be calculated by calculating the water saturation water absorption capacity, necessary data support is provided for calculating the water saturation water absorption capacity on one hand, and further data reference is provided for executing steps in the algorithm on the other hand.
As shown in fig. 1, the underground water area model is constructed by performing calculation of the volume by applying coordinates, and the sum of the difference between the volume of the underground water area model and the water saturation water absorption capacity and the water content of the upper soil layer area of the underground water area, namely, the extremum obtained in the step 4.
In summary, the algorithm in the above embodiment can complete the calculation of the real-time dynamic change trend of the groundwater level by using the constructed groundwater area model, and a great amount of priori data is applied in the calculation process, so that the result area output by the algorithm is more likely, and meanwhile, the algorithm can also obtain the dynamic change threshold of the water level, thereby further providing user reference and ensuring the safety in the well working process; in the process of executing the steps, the algorithm can also calculate the application range of the result output by the algorithm, so that the calculated algorithm application range is matched with the algorithm output result, a user is assisted to apply the algorithm output result in a designated range, and the effectiveness of the algorithm output result in the actual application process is further ensured; meanwhile, in the process of executing the steps, the algorithm analyzes the soil layer at the upper part of the underground water of the drilling position, and the reliability of the final result output in the algorithm can be effectively ensured based on the analysis result of the upper soil layer.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The underground water level dynamic trend prediction algorithm based on the well work operation is characterized by comprising the following steps of:
step 1: confirming a drilling position through coordinate selection, and carrying a liquid level monitor on the drilling position by using drilling equipment to execute drilling operation;
step 2: acquiring acquisition data of drilling equipment carried with a liquid level monitor, and constructing an underground water area model according to the acquisition data of the liquid level monitor;
step 3: calculating groundwater reserves of the underground water area based on the underground water area model, collecting humidity data of soil layers on the upper portion of the underground water area, and further solving water saturation water absorption;
step 4: receiving the water saturation water absorption data obtained in the step 4, obtaining the water content of the upper soil layer area of the underground water area based on the water saturation water absorption data, and obtaining an extremum of the underground water area model according to the water saturation water absorption and the water content of the upper soil layer area of the underground water area;
step 5: setting a dynamic trend threshold of the groundwater level according to the extremum of the groundwater area model obtained in the step 4;
step 6: and (5) predicting the value of the rising or falling of the groundwater level based on the groundwater level dynamic trend threshold value set in the step (5).
2. The underground water level dynamic trend prediction algorithm based on the well operation according to claim 1, wherein the selected coordinates for confirming the drilling position in step 1 are manually set by the user side, and the selected coordinates are not less than three groups, and when the drilling equipment is applied to carry the liquid level monitor to perform the drilling operation at the drilling position, the user side synchronously sets the drilling rate and the azimuth angle of the drilling equipment;
wherein the drilling azimuth angle setting of the drilling apparatus defaults to vertical.
3. The underground water level dynamic trend prediction algorithm based on the well operation according to claim 1, wherein after the manual setting of the selected coordinates is completed, the effective area of the result is obtained based on the selected coordinates calculation algorithm in the following formula:
wherein: m (x ', y ', z ') is the effective coordinates; (x, y, z) is a selected coordinate; k is the number of selected coordinates; s is the drilling rate setting result; μ is a drilling setting azimuth angle offset, and when the drilling azimuth angle of the drilling equipment is vertical, μ is 1; sigma is a correction coefficient;
the selected coordinates finish the output of the effective coordinates through the above formula, and further finish the confirmation of the effective area based on the output effective coordinates.
4. The underground water level dynamic trend prediction algorithm based on the well operation industry according to claim 1, wherein a humidity sensor is deployed on the liquid level monitor, the humidity sensor is used for monitoring the humidity of the soil contacted by the drilling end of the drilling equipment in real time, the humidity sensor is manually provided with a monitoring period through a user side, the humidity sensor collects the humidity of the soil contacted by the drilling end of the drilling equipment in real time according to the monitoring period, and the collected data of the humidity of the soil contacted by the drilling end of the drilling equipment is stored in the interior;
the humidity sensor deployed on the liquid level monitor runs in real time when the drilling equipment runs, a humidity threshold is set through a user side, when the humidity data of the soil contacted with the drilling end of the drilling equipment is collected and is at the humidity threshold, the liquid level monitor is triggered to run, when the liquid level monitor runs in real time and detects the underground water surface, the humidity sensor is triggered to finish running, and the operation of transmitting stored data to the liquid level monitor is completed before the running is finished.
5. The algorithm of claim 1, wherein the acquiring data by the fluid level monitor acquired in step 2 comprises: a time stamp of the groundwater level and the groundwater level detected by the liquid level monitor;
and 2, synchronously acquiring an operation starting time stamp of the drilling equipment when the step is executed, further calculating the drilling depth of the drilling equipment based on the time stamp of the underground water surface detected by the liquid level monitor, the operation starting time stamp of the drilling equipment and the drilling speed, respectively generating two sets of coordinates for constructing the underground water area model based on the corresponding selected coordinates of each drilling position by the drilling depth and the underground water level, and completing the construction of the underground water area model by applying the coordinates for constructing the underground water area model.
6. The underground water level dynamic trend prediction algorithm based on the well operation according to claim 1, wherein, in the step 3, when the water saturation water absorption is calculated according to the upper soil layer humidity data of the underground water area, a threshold is manually set by a user side, the soil layer humidity which does not participate in the calculation of the water saturation water absorption is confirmed, the soil layer area which does not participate in the calculation of the water saturation water absorption is further calculated based on the confirmed corresponding coordinates of the soil layer humidity, and then the soil layer area is calculated according to the selected coordinates of the underground water area model, the soil layer area which does not participate in the calculation of the water saturation water absorption and the drilling position, the water saturation water absorption is calculated according to the following formula:
V＝v 0 ·n·|C bulk /δ|-v cur ；
wherein: v is the water saturation water absorption capacity; v 0 The soil layer area volume is calculated for the water saturation water absorption; n is soil layer porosity; c (C) bulk The heat capacity of the soil layer; delta is a substitution coefficient; v cur And obtaining the current water content of the soil layer area by using the water saturation water absorption.
7. The well-work-based groundwater level dynamic trend prediction algorithm according to claim 6, wherein the substitution coefficient δ is manually set by a user side and follows a setting logic in which the substitution coefficient δ is inversely proportional to the soil layer porosity n.
8. The underground water level dynamic trend prediction algorithm based on the well operation industry according to claim 3, wherein the current water content of the soil layer area is obtained by the following formula, wherein the formula is;
w＝v 0 ·v p 2 +χ·v p +C；
wherein: w is the water saturation water absorption capacity, and the current water content of the soil layer area is obtained; v 0 The soil layer area volume is calculated for the water saturation water absorption; v p Is the ultrasonic velocity; χ is the offset; c is a fitting constant of the water saturation water absorption capacity to calculate the current water content of the soil layer region under the simulated raining state, and the water saturation water absorption capacity is calculated to calculate the current water content of the soil layer region to be w and v 0 Is a product of (2);
the value of sigma is the absolute value of the product of the water saturation water absorption V and the current water content w of the soil layer area.
9. The underground water level dynamic trend prediction algorithm based on the well operation according to claim 8, wherein the underground water area model is calculated by applying coordinates when constructing, the difference between the volume of the underground water area model and the water saturation water absorption capacity, and the sum of the water contents of the upper soil layer area of the underground water area, namely the extreme value obtained in the step 4.
10. The algorithm according to claim 1 or 4, wherein the step 6 is executed by synchronously obtaining the cross-sectional area of the groundwater area model, receiving the groundwater level currently detected by the level monitor and the earth humidity at the drilling equipment drilling end contact, further setting the conversion ratio of the earth humidity to the groundwater reserve, calculating the groundwater reserve by the earth humidity, calculating the difference between the calculated groundwater reserve and the groundwater reserve corresponding to the groundwater area model calculated by the level monitor, taking the difference as a dividend, taking the cross-sectional area of the water area model as a divisor, calculating the quotient, and recording the quotient as the groundwater level rising or falling value predicted in the step 6.
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