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CN118235689B - Data processing system applied to digital twin hydraulic engineering - Google Patents

Data processing system applied to digital twin hydraulic engineering Download PDF

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CN118235689B
CN118235689B CN202410674530.8A CN202410674530A CN118235689B CN 118235689 B CN118235689 B CN 118235689B CN 202410674530 A CN202410674530 A CN 202410674530A CN 118235689 B CN118235689 B CN 118235689B
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CN118235689A (en
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朱亮
张红飞
卢慧敏
谢云飞
赵苏政
吉顺莉
郑红娟
崔桂官
林伟
史誉州
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Jiangsu Vocational and Technical Shipping College
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
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Abstract

The invention discloses a data processing system applied to digital twin hydraulic engineering, which mainly relates to the field of hydraulic engineering and is used for solving the problems that how to monitor soil water content by a single sensor, the water needs under different crops cannot be considered pertinently, and the soil of a planting field cannot be expected to be managed in advance, and the system mainly relates to the field of hydraulic engineering and is used for solving the problems that the existing agricultural irrigation monitoring is only used for monitoring the soil water content, and comprises a data acquisition unit, a soil analysis unit, a crop analysis unit, a water management unit, a feedback regulation unit and a display terminal; according to the invention, by collecting the state data of the soil of the planting land and the water demand data of crops and carrying out selectively oriented evaluation analysis, the method of processing by formulas, normalizing analysis and signal integration output is utilized to accurately analyze whether the soil of the planting land of the crops needs irrigation or not, and the actual water condition of the soil of the planting land of the crops is output according to the accurate analysis, so that the water management level for irrigation is greatly improved.

Description

Data processing system applied to digital twin hydraulic engineering
Technical Field
The invention relates to the technical field of hydraulic engineering, in particular to a data processing system applied to digital twin hydraulic engineering.
Background
The lack of agricultural water management information can lead to untimely irrigation or water waste, and timely and accurate acquisition of the information has important significance for improving the scientificity and the level of agricultural water management. Soil moisture content information is important basic information for agricultural water science management. According to the fine soil water content data, support can be provided for crop water demand estimation, irrigation water plan making, implementation and adjustment, irrigation water monitoring, irrigation effect evaluation and the like, irrigation water management level is greatly improved, and water efficiency is improved.
The existing agricultural irrigation monitoring is often only to monitor how the water content of the soil is through a single sensor, the water needs under different crops cannot be considered pertinently, and the soil in the planting area cannot be expected to be managed in advance, so that the irrigation water management level and the irrigation water management efficiency are poor.
The present invention proposes a solution to the above-mentioned problems.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, the embodiments of the present invention provide a data processing system applied to digital twin hydraulic engineering, which collects the state data of the soil in the planting area and the water demand data of the crops and performs optionally directional evaluation analysis, and accurately analyzes whether the soil in the planting area needs irrigation or not by using the methods of formulated processing, normalized analysis and signal integration output, so as to output the actual moisture status of the soil in the planting area, thereby solving the problems set forth in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
The data processing system applied to the digital twin hydraulic engineering comprises a data acquisition unit, a soil analysis unit, a crop analysis unit, a moisture management unit, a feedback regulation unit and a display terminal;
The data acquisition unit is used for acquiring soil environment information and self attribute information of crop planting and respectively transmitting the soil environment information and the self attribute information to the soil analysis unit and the crop analysis unit;
The soil analysis unit is used for carrying out directional evaluation analysis processing on the soil environment information of the crop planting collected by the received data collection unit and sending an analysis result to the moisture management unit;
The crop analysis unit is used for carrying out directional evaluation analysis processing on the attribute information of the crops collected by the received data collection unit and sending an analysis result to the moisture management unit;
the water management unit is used for receiving the analysis results of the soil analysis unit and the crop analysis unit, carrying out combined analysis treatment on the analysis results, generating a normal signal, a water passing signal and a water shortage signal according to the analysis results, and sending the normal signal, the water passing signal and the water shortage signal to the feedback regulation unit;
the feedback adjusting unit is used for transmitting the signal generated by the moisture management unit to the display terminal for display;
and the display terminal is used for displaying the soil moisture state information sent by the feedback regulating unit.
In a preferred embodiment, the system further comprises a weather analysis unit, wherein the weather analysis unit is in communication connection with the data acquisition unit;
the data acquisition unit is also used for acquiring future meteorological information and sending the future meteorological information to the meteorological analysis unit;
the weather analysis unit is used for receiving the future weather information acquired by the data acquisition unit, performing directional evaluation analysis processing, and sending the analysis result to the feedback adjustment unit.
In a preferred embodiment, the method further comprises a data processing method applied to digital twin hydraulic engineering, and the specific steps are as follows:
Step S10, obtaining soil wettability value, soil permeability value, soil temperature and soil hardening value of each region of the planting land, and taking the soil wettability value, the soil permeability value, the soil temperature and the soil hardening value as And K, T, sh, calculating a soil irrigation influence coefficient W in each area according to a formula, wherein the concrete formula is as follows:
In the method, in the process of the invention, 、、Respectively the soil wettability measurement value, the soil permeability value, the soil temperature and the soil hardening measurement value, and＞＞＞0, Wherein i= {1,2,3 … … n }, and i represents the number of regions;
step S20, obtaining the water demand value and the crop planting density of the single crop, and respectively calibrating the water demand value and the crop planting density as Q and Q And normalized according to the formula ag=The water demand AG of crops in various planting areas is obtained, wherein,AndThe water demand value of the single crop and the error factor coefficient of the crop planting density are respectively, and＞More than 0, and sending the water to a moisture management unit for analysis and treatment;
and S30, integrating, analyzing and processing the soil watering influence coefficient W and the water demand coefficient AG of the crops in each land area nearby the crops, and generating a normal signal, a water passing signal and a water shortage signal.
In a preferred embodiment, after step S30, further comprising:
step S40, a future rainfall value P and a future direct ground radiation value SR are obtained. And according to the formula:
obtaining a moisture deviation coefficient E, wherein AndError coefficients of the future rainfall value P and the future direct ground radiation value SR are respectively, and＞＞0。
In a preferred embodiment, after step S40, further comprising:
Step S50, setting the floating threshold range of the moisture deviation coefficient E as If the moisture deviation coefficient E is within the floating threshold rangeIn the future unit time t, the soil moisture in the area is in the normal range, no adjustment is needed, the feedback regulation unit generates a long-term normal signal, if the moisture deviation coefficient E is smaller thanIndicating that the soil in the area is deficient in water in unit time t in the future, and performing water supplementing operation, generating a long-term water deficiency signal by a feedback regulating unit, and if the water deviation coefficient E is larger thanAnd the fact that the soil moisture in the soil area is too much in unit time t in the future needs to be reduced is indicated, at the moment, the feedback regulating unit generates a long-term water passing signal, and the unit time t in the future is the time interval of the next irrigation of the soil area in the area.
In a preferred embodiment, in step S30, the soil watering influence coefficient W of each land area near the crop is integrated with the crop water demand coefficient AG, and the specific operation procedure is as follows:
Gradient reference values R V and R V of the soil watering influence coefficient W are set, and gradient reference values R V and R V of the crop water demand coefficient AG are set, wherein R V1>RV2,RV3>RV is set.
The soil watering influence coefficient W is brought into the gradient reference value R V to be compared with 1 in R V for analysis:
when the soil irrigation influence coefficient W is larger than R V, generating a high-wettability soil signal;
When the soil watering influence coefficient W is larger than R V and smaller than R V 1, a medium-wettability soil signal is generated;
When the soil watering influence coefficient W is smaller than R V, a low-wettability soil signal is generated.
The crop water demand coefficient AG is brought into the gradient reference values R V and R V for comparison and analysis:
When the crop water demand number AG is larger than R V, generating a crop signal with high water demand;
When the crop water demand number AG is larger than R V and smaller than R V 3, a medium water demand crop signal is generated;
when the crop water demand AG is less than R V 4, a low water demand crop signal is generated.
The invention has the technical effects and advantages that:
1. According to the invention, through collecting the soil state data of the planting land and the water demand data of crops and carrying out selectively oriented evaluation analysis, the method of processing by formulas, normalizing analysis and signal integration output is utilized to accurately analyze whether the soil of the planting land needs irrigation or not, and the actual water condition of the soil of the planting land is output according to the accurate analysis, so that the water consumption management level for irrigation is greatly improved, the water consumption efficiency is improved, and meanwhile, a foundation is laid for high-efficiency and scientific management according to the soil nearby a river channel and the river state;
2. The invention can further predict the water state of the planting soil in a future period by collecting the meteorological information in the future period, so that the planting soil can be irrigated in advance according to the whole evaluation analysis, and the planting soil can keep sufficient water all the time.
Drawings
Fig. 1 is a schematic structural diagram of a data processing system applied to digital twin hydraulic engineering.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The digital twin is to fully utilize data such as physical models, sensor updating, operation histories and the like, and integrate simulation processes of multiple disciplines, multiple physical quantities, multiple scales and multiple probabilities. In the invention, a physical model of planted agricultural products and soil nearby is constructed, and a plurality of data are collected to analyze agricultural water.
Example 1
The invention is applied to a data processing system of digital twin hydraulic engineering, as shown in figure 1, and comprises a data acquisition unit, a soil analysis unit, a crop analysis unit, a moisture management unit, a weather analysis unit, a feedback regulation unit and a display terminal.
The data acquisition unit is used for acquiring soil environment information and self attribute information of crop planting and sending the soil environment information and the self attribute information to the soil analysis unit and the crop analysis unit respectively. Wherein the soil environment information includes soil wettability value, soil permeability value, soil temperature and soil hardening value.
The soil moisture content value refers to a data value of the percentage of the soil moisture content in the soil, and when the expression value of the soil moisture content value is larger, the larger the moisture content in the soil is, the higher the moisture content of the soil is; the soil permeability value refers to the speed value of the water penetrating the soil in unit area, and when the expression value of the permeability value is larger, the soil is indicated to be penetrated faster; the soil temperature means the self temperature of the soil, and as the soil temperature is higher, it affects the soil wettability value, thereby making the soil wettability lower. The soil hardening value refers to a data value of a ratio of soil to binder blocks per unit volume, and when the expression value of the soil hardening value is larger, the more binder block soil contained in the soil is indicated, which also indicates that the loosening degree of the soil is worse.
Therefore, in order to better manage irrigation water, effective collection of state data of soil itself is required, wherein a soil wettability value can deepen the wettability of soil, a soil permeability value can increase the infiltration speed of soil and reduce surface runoff, and thus both of the soil wettability value and the soil permeability value are inversely related to the irrigation amount of soil; soil temperature and soil hardening value as the soil temperature is higher, the soil loosening degree is worse, and the wettability and penetration speed of the soil are reduced, so that the soil loosening degree and the soil hardening value are positively related to the irrigation amount of the soil.
After the soil analysis unit receives the soil environment information of the crop planting collected by the data collection unit, the soil condition of the crop planting is subjected to directional evaluation analysis according to the information, and the specific analysis process is as follows:
Dividing a planting field into n areas according to crop types, wherein n is a positive integer greater than or equal to 1, respectively acquiring soil wettability values, soil permeability values, soil temperatures and soil hardening values of soil in the n areas, and respectively calibrating the soil wettability values, the soil permeability values, the soil temperatures and the soil hardening values as K, T, sh; and carrying out formulation analysis on the soil, and obtaining a soil irrigation influence coefficient W of each soil area near the sluice according to the formula, wherein the specific formula is as follows:
In the method, in the process of the invention, 、、Respectively the soil wettability measurement value, the soil permeability value, the soil temperature and the soil hardening measurement value, and＞＞＞0，Where i= {1,2,3 … … n }, and i represents the number of regions.
The larger the expression value of the soil irrigation influence coefficient W, the more the soil in the region needs to be irrigated. The preset proportionality coefficient is used for balancing the duty ratio weight of each item of data in formula calculation, so that the accuracy of a calculation result is promoted. The soil analysis unit calculates a soil irrigation influence coefficient W and then sends the soil irrigation influence coefficient W to the moisture management unit for analysis and processing.
The attribute information of the crops comprises the water demand value of the single crops and the planting density of the crops, and the water demand value and the planting density of the single crops are respectively calibrated into Q and QAnd normalized according to the formula ag=The water demand AG of crops in various planting areas is obtained, wherein,AndThe water demand value of the single crop and the error factor coefficient of the crop planting density are respectively, and＞＞0，+=0.7691. The crop analysis unit calculates the water demand AG of the crops and then sends the water demand AG to the moisture management unit for analysis and treatment.
It should be noted that, the water demand of different crops is different, so that different crops are irrigated for targeted consideration, and if the planting densities of the crops are different, the irrigation amount of soil is also different, so that the water demand AG of the crops needs to be added to regulate irrigation management.
The soil irrigation influence coefficient W of each land area nearby the crops and the water demand coefficient AG of the crops are integrated and analyzed, and the specific operation process is as follows:
Gradient reference values R V and R V of the soil watering influence coefficient W are set, and gradient reference values R V and R V of the crop water demand coefficient AG are set, wherein R V1>RV2,RV3>RV is set.
The soil watering influence coefficient W is brought into the gradient reference value R V to be compared with 1 in R V for analysis:
when the soil irrigation influence coefficient W is larger than R V, generating a high-wettability soil signal;
When the soil watering influence coefficient W is larger than R V and smaller than R V 1, a medium-wettability soil signal is generated;
When the soil watering influence coefficient W is smaller than R V, a low-wettability soil signal is generated.
The crop water demand coefficient AG is brought into the gradient reference values R V and R V for comparison and analysis:
When the crop water demand number AG is larger than R V, generating a crop signal with high water demand;
When the crop water demand number AG is larger than R V and smaller than R V 3, a medium water demand crop signal is generated;
when the crop water demand AG is less than R V 4, a low water demand crop signal is generated.
The water management unit receives signals sent by the soil analysis unit and the crop analysis unit, and then pairs the soil analysis unit and the crop analysis unit, and when the soil analysis unit and the crop analysis unit generate high-level, medium-level or low-level moisture soil signals and demand crop signals, the soil analysis unit and the crop analysis unit generate high-moisture soil signals and high-water demand crop signals; medium wettability soil signals, medium water crop signals; low moisture soil signals, low water crop signals; the current soil wetting condition is matched with the crop, no improvement is needed, and at the moment, the water management unit generates a normal signal and sends the signal to the feedback regulation unit; when the grades of the soil analysis unit and the crop analysis unit are different, if the grade of the soil analysis unit is higher than that of the crop analysis unit, the soil moisture content is too high, the soil moisture content needs to be reduced at the moment, a method for correspondingly reducing the moisture content can be adopted, and at the moment, the moisture management unit generates a water passing signal and sends the signal to the feedback regulation unit; otherwise, the crop analysis unit is higher than the soil analysis unit in level, and the soil in the area needs to be subjected to targeted water supplement at the moment, and the water management unit generates a water shortage signal and sends the signal to the feedback regulation unit; thereby better regulating to meet the demands of crops in the area.
According to the invention, the planting land is divided into areas according to crops, so that the irrigation conditions of each area are different, and the feedback regulation module can be used for carrying out irrigation regulation on certain areas in a targeted manner, so that the irrigation water management level is improved, and the water efficiency is improved.
When the feedback regulating unit receives the normal signal sent by the moisture management unit, the next step is carried out, and the normal signal is sent to the display terminal; if the feedback regulating unit receives the water passing or water shortage signal sent by the water management unit, the signal is sent to the display terminal for display.
Further, the data acquisition unit also acquires future weather information, which includes the future rainfall value P and the future direct ground radiation value SR, and sends the weather information to the weather analysis unit. The rainfall value P in the future is the rainfall value in the unit time t in the future, the rainfall of the planting soil can influence the wettability of the soil and the water content of the soil, so that the soil moisture is increased, the direct ground radiation value SR in the future is the direct soil sunlight radiation in the unit time t in the future, and the rest soil temperatures are positively correlated, so that the wettability of the soil and the water content of the soil can be changed. The future unit time t is the time interval of the next irrigation of the soil area, and by observing the future rainfall value P and the future direct ground radiation value SR within the deduced future unit time t, it can be determined whether or not additional humidification or drying of the soil area is required within the future unit time t. Specifically, according to the formula:
obtaining a moisture deviation coefficient E, wherein AndError coefficients of the future rainfall value P and the future direct ground radiation value SR are respectively, and＞＞0。
Setting the floating threshold range of the moisture deviation coefficient E to beIf the moisture deviation coefficient E is within the floating threshold rangeIn the future unit time t, the soil moisture in the area is in the normal range, no adjustment is needed, the feedback regulation unit generates a long-term normal signal, if the moisture deviation coefficient E is smaller thanIndicating that the soil in the area is deficient in water in unit time t in the future, and performing water supplementing operation, generating a long-term water deficiency signal by a feedback regulating unit, and if the water deviation coefficient E is larger thanAnd the feedback regulation unit generates a long-term water passing signal when the soil moisture in the area is required to be reduced because of excessive soil moisture in the unit time t in the future. And the larger the coefficient, the more the moisture content exceeds the standard.
And the feedback adjusting unit and the moisture management unit send the generated signals to the display terminal for display operation.
The threshold value related by the invention can be set in actual conditions, and can be determined by performing analog test according to digital twin technology. And will not be described in detail herein.
Example 2
The difference between embodiment 2 and embodiment 1 of the present invention is that, in embodiment 1, a data processing system applied to digital twin hydraulic engineering is mainly described, and by virtue of the system, this embodiment describes a data processing method applied to digital twin hydraulic engineering. The method comprises the following steps:
A. obtaining soil wettability value, soil permeability value, soil temperature and soil hardening value of each region of the planting land, and taking the soil wettability value, the soil permeability value, the soil temperature and the soil hardening value as And K, T, sh, calculating a soil irrigation influence coefficient W in each area according to a formula, wherein the concrete formula is as follows:
In the method, in the process of the invention, 、、Respectively the soil wettability measurement value, the soil permeability value, the soil temperature and the soil hardening measurement value, and＞＞＞0, Wherein i= {1,2,3 … … n }, and i represents the number of regions.
B. The water demand value and the crop planting density of the single crop are obtained and respectively calibrated as Q and QAnd normalized according to the formula ag=The water demand AG of crops in various planting areas is obtained, wherein,AndThe water demand value of the single crop and the error factor coefficient of the crop planting density are respectively, and＞>0 And send it to the moisture management unit for analysis.
C. And (3) carrying out integrated analysis processing on the soil irrigation influence coefficient W and the water demand coefficient AG of the crops in each land area nearby the crops, thereby generating a normal signal, a water passing signal and a water shortage signal. The invention combines the self and soil state of crops, can monitor whether the soil needs to be irrigated in a one-to-one correspondence manner, greatly improves the irrigation water management level and improves the water efficiency.
D. And acquiring a future rainfall value P and a future direct ground radiation value SR. And according to the formula:
obtaining a moisture deviation coefficient E, wherein AndError coefficients of the future rainfall value P and the future direct ground radiation value SR are respectively, and＞＞0。
E. setting the floating threshold range of the moisture deviation coefficient E to beIf the moisture deviation coefficient E is within the floating threshold rangeIn the future unit time t, the soil moisture in the area is in the normal range, no adjustment is needed, the feedback regulation unit generates a long-term normal signal, if the moisture deviation coefficient E is smaller thanIndicating that the soil in the area is deficient in water in unit time t in the future, and performing water supplementing operation, generating a long-term water deficiency signal by a feedback regulating unit, and if the water deviation coefficient E is larger thanAnd the feedback regulation unit generates a long-term water passing signal when the soil moisture in the area is required to be reduced because of excessive soil moisture in the unit time t in the future. And the larger the coefficient, the more the moisture content exceeds the standard.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
The formula is as follows:
collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding weight factor coefficient for each group of sample data; substituting the set weight factor coefficient and the acquired sample data into a formula, forming a quaternary once equation set by any four formulas, screening the calculated coefficient and taking an average value to obtain 、、、And (3) taking the value:=1.792，=2.337，=1.126，=1.059。
The size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding weight factor coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
According to the invention, through collecting the soil state data of the planting land and the water demand data of crops and carrying out selectively oriented evaluation analysis, the method of processing by formulas, normalizing analysis and signal integration output is utilized to accurately analyze whether the soil of the planting land needs irrigation or not, and the actual water condition of the soil of the planting land is output according to the accurate analysis, so that the water consumption management level for irrigation is greatly improved, the water consumption efficiency is improved, and meanwhile, a foundation is laid for high-efficiency and scientific management according to the soil nearby a river channel and the river state;
Meanwhile, the method and the system can further predict the water state of the planting soil in a future period by collecting the meteorological information in the future period and deducing, so that the planting soil can be irrigated in advance according to the whole evaluation analysis, and the planting soil can keep sufficient water all the time.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims (2)

1. The data processing system applied to digital twin hydraulic engineering is characterized in that: the system comprises a data acquisition unit, a soil analysis unit, a crop analysis unit, a moisture management unit, a feedback regulation unit and a display terminal;
The data acquisition unit is used for acquiring soil environment information and self attribute information of crop planting and respectively transmitting the soil environment information and the self attribute information to the soil analysis unit and the crop analysis unit;
The soil analysis unit is used for carrying out directional evaluation analysis processing on the soil environment information of the crop planting collected by the received data collection unit and sending an analysis result to the moisture management unit;
The crop analysis unit is used for carrying out directional evaluation analysis processing on the attribute information of the crops collected by the received data collection unit and sending an analysis result to the moisture management unit;
the water management unit is used for receiving the analysis results of the soil analysis unit and the crop analysis unit, carrying out combined analysis treatment on the analysis results, generating a normal signal, a water passing signal and a water shortage signal according to the analysis results, and sending the normal signal, the water passing signal and the water shortage signal to the feedback regulation unit;
the feedback adjusting unit is used for transmitting the signal generated by the moisture management unit to the display terminal for display;
The display terminal is used for displaying the soil moisture state information sent by the feedback regulation unit;
the method also comprises a data processing method applied to the digital twin hydraulic engineering, and comprises the following specific steps:
Step S10, obtaining soil wettability value, soil permeability value, soil temperature and soil hardening value of each region of the planting land, and taking the soil wettability value, the soil permeability value, the soil temperature and the soil hardening value as And K, T, sh, calculating a soil irrigation influence coefficient W in each area according to a formula, wherein the concrete formula is as follows:
；
In the method, in the process of the invention, 、、Respectively the soil wettability measurement value, the soil permeability value, the soil temperature and the soil hardening measurement value, and＞＞＞0，Wherein i= {1,2,3 … … n }, and i represents the number of regions;
step S20, obtaining the water demand value and the crop planting density of the single crop, and respectively calibrating the water demand value and the crop planting density as Q and Q And normalized according to the formula ag=The water demand AG of crops in various planting areas is obtained, wherein,AndThe water demand value of the single crop and the error factor coefficient of the crop planting density are respectively, and＞＞0，+=0.7691, And sends it to the moisture management unit for analysis processing;
Step S30, carrying out integrated analysis processing on soil irrigation influence coefficients W of all land areas nearby the crops and water demand data AG of the crops, and generating normal signals, water passing signals and water shortage signals according to the integrated analysis processing;
in step S30, the soil irrigation influence coefficient W of each land area near the crops and the water demand coefficient AG of the crops are integrated and analyzed, and the specific operation process is as follows:
Setting gradient reference values R V and R V of a soil irrigation influence coefficient W and gradient reference values R V 3 and R V of a crop water demand coefficient AG, wherein R V1>RV2,RV3>RV 4;
The soil watering influence coefficient W is brought into the gradient reference value R V to be compared with 1 in R V for analysis:
when the soil irrigation influence coefficient W is larger than R V, generating a high-wettability soil signal;
When the soil watering influence coefficient W is larger than R V and smaller than R V 1, a medium-wettability soil signal is generated;
When the soil irrigation influence coefficient W is smaller than R V, generating a low-wettability soil signal;
The crop water demand coefficient AG is brought into the gradient reference values R V and R V for comparison and analysis:
When the crop water demand number AG is larger than R V, generating a crop signal with high water demand;
When the crop water demand number AG is larger than R V and smaller than R V 3, a medium water demand crop signal is generated;
when the crop water demand AG is less than R V 4, a low water demand crop signal is generated.
2. The data processing system applied to digital twin hydraulic engineering according to claim 1, wherein: the system also comprises a weather analysis unit which is in communication connection with the data acquisition unit;
the data acquisition unit is also used for acquiring future meteorological information and sending the future meteorological information to the meteorological analysis unit;
the weather analysis unit is used for receiving the future weather information acquired by the data acquisition unit, performing directional evaluation analysis processing, and sending the analysis result to the feedback adjustment unit.
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