Efficient and water-saving drip irrigation tape laying automatic control method and system

Abstract

The invention discloses an efficient water-saving drip irrigation tape laying automatic control method and system, and relates to the technical field related to drip irrigation equipment, and the method comprises the steps: obtaining a predetermined laying area of a target crop, and obtaining an initial gradient; the inlet pressure threshold value and the laying length threshold value construct a laying control space; introducing an energy consumption evaluation mechanism to carry out laying control evaluation, and optimizing to obtain an optimal laying strategy; performing collaborative analysis on the optimal laying parameter and the initial gradient to obtain a predicted irrigation feedback coefficient; weighting the energy consumption feedback coefficient and the predicted irrigation feedback coefficient to obtain laying fitness; and if the preset fitness threshold is reached, laying automatic control is carried out. The technical problems that in the prior art, drip irrigation tape laying parameters are difficult to accurately adapt to topographic conditions, water-saving and energy-saving requirements cannot be met in the laying process, irrigation is uneven, and energy consumption is too high are solved, accurate matching of laying strategies is achieved, and the technical effects of improving drip irrigation uniformity of the drip irrigation tape and reducing energy consumption are achieved.

Description

Technical Field

[0001] The present application relates to the technical field related to drip irrigation equipment, and in particular to an automated control method and system for laying drip irrigation tapes that is efficient and water-saving. Background Art

[0002] The quality and efficiency of drip tape installation directly impact the overall performance and water-saving effects of the irrigation system. Traditional drip tape installation relies heavily on manual experience or simple mechanical assistance, lacking systematic analysis and precise control of key parameters such as the slope of the terrain in the installation area, installation length, and inlet pressure. The terrain in different crop-growing areas is complex and diverse, and changes in slope can affect the uniformity of water distribution in the drip tape, leading to uneven irrigation. A mismatch between installation length and inlet pressure can lead to problems such as insufficient water output at the end or damage to the dripper due to excessive pressure. Furthermore, existing drip tape installation methods often overlook energy consumption, resulting in energy waste in the pursuit of optimal irrigation results and increased agricultural production costs.

[0003] Therefore, in the current relevant technologies, there are technical problems such as the difficulty in accurately adapting the laying parameters of drip irrigation tapes to the terrain conditions and the inability to take into account the needs of water conservation and energy saving during the laying process, resulting in uneven irrigation and excessive energy consumption. Summary of the Invention

[0004] This application provides an efficient and water-saving drip irrigation tape laying automatic control method and system, which solves the technical problems in the existing technology that the drip irrigation tape laying parameters are difficult to accurately adapt to the terrain conditions, the laying process cannot take into account the water-saving and energy-saving needs, resulting in uneven irrigation and excessive energy consumption. It realizes precise matching of laying strategies and achieves the technical effect of improving the uniformity of drip irrigation tape irrigation and reducing energy consumption.

[0005] The present application provides an efficient and water-saving automatic control method for laying drip irrigation tapes, the method comprising: obtaining a predetermined laying area for a target crop and obtaining an initial slope of the predetermined laying area; constructing a laying control space by coordinating an inlet pressure threshold corresponding to an inlet pressure and a laying length threshold corresponding to a laying length; using the initial slope as a laying control constraint, introducing an energy consumption evaluation mechanism to perform laying control evaluation, performing laying control optimization in the laying control space to obtain an optimal laying strategy; coordinating an optimal laying parameter in the optimal laying strategy with the initial slope to obtain a predicted irrigation feedback coefficient; weighting the energy consumption feedback coefficient corresponding to the optimal laying strategy and the predicted irrigation feedback coefficient to obtain a laying fitness; and if the laying fitness reaches a predetermined fitness threshold, performing automatic laying control on the predetermined laying area based on the optimal laying strategy.

[0006] In a possible implementation, the efficient and water-saving drip tape laying automatic control method further performs the following processing: randomly extracting the first laying strategy in the laying control space; forming a first laying parameter set based on the initial slope and the first laying strategy; traversing and matching the first laying parameter set in the drip tape laying database to obtain a target laying parameter set, and the target laying parameter set corresponds to a target historical laying; matching the target historical energy consumption information corresponding to the target historical laying, and analyzing the target historical energy consumption information to obtain the energy consumption distribution weight of the inlet pressure and the laying length; based on the energy consumption distribution weight, analyzing the first laying strategy to obtain a first energy consumption feedback coefficient; if the first energy consumption feedback coefficient is within a predetermined coefficient threshold, then using the first laying strategy as the optimal laying strategy.

[0007] In a possible implementation, the efficient and water-saving drip tape laying automatic control method further performs the following processing: randomly extracting any inlet pressure from the inlet pressure threshold in the laying control space; randomly extracting any laying length from the laying length threshold in the laying control space; the arbitrary inlet pressure and the arbitrary laying length constitute the first laying strategy.

[0008] In a possible implementation, the efficient and water-saving drip tape laying automated control method further performs the following processing: extracting an arbitrary laying parameter set from the drip tape laying database; visualizing the first laying parameter set and the arbitrary laying parameter set in turn to obtain a first visual graph and an arbitrary visual graph, respectively; performing similarity analysis on the first visual graph and the arbitrary visual graph to obtain an arbitrary similarity; and when the arbitrary similarity reaches a predetermined similarity constraint, using the arbitrary laying parameter set as the target laying parameter set.

[0009] In a possible implementation, the efficient and water-saving drip tape laying automation control method further performs the following processing: activating an irrigation feedback predictor, wherein the irrigation feedback predictor includes an irrigation uniformity prediction component and an irrigation demand prediction component; predicting and analyzing the optimal laying parameters and the initial slope through the irrigation uniformity prediction component to obtain predicted irrigation uniformity; wherein the irrigation uniformity prediction component is a prediction model obtained by machine learning and verification of a uniformity training data set, and the uniformity training data set includes the target laying parameter set and the target historical irrigation uniformity, and the target historical irrigation uniformity refers to the irrigation uniformity of the target historical laying; collecting the target root feature set of the target crop, and predicting and analyzing the target root feature set through the irrigation demand prediction component to obtain predicted irrigation demand; normalizing and weighting the predicted irrigation uniformity and the predicted irrigation demand to obtain the predicted irrigation feedback coefficient.

[0010] In a possible implementation, the efficient and water-saving drip tape laying automated control method further performs the following processing: reading predetermined root characteristic indicators, and collecting root characteristics of the target crop based on the predetermined root characteristic indicators to obtain the target root characteristic set; wherein the predetermined root characteristic indicators include root length density, root depth, root coverage, root diameter and root type.

[0011] In a possible implementation, the efficient and water-saving drip irrigation tape laying automatic control method further performs the following processing: obtaining a target drip irrigation tape, wherein the target drip irrigation tape refers to a drip irrigation tape obtained by automatically controlling the laying of the predetermined laying area based on the optimal laying strategy; monitoring the operating status of the target drip irrigation tape to obtain real-time operating information; performing normalized weighted calculation of the operating characteristics of the real-time operating information to obtain a real-time operating status index; if the real-time operating status index is not within the predetermined status index limit, issuing a warning instruction; and performing operation and maintenance management on the target drip irrigation tape based on the warning instruction.

[0012] In a possible implementation, the efficient and water-saving drip tape laying automatic control method further performs the following processing: forming an anti-clogging feature set, and traversing the anti-clogging feature set in the real-time operation information to obtain a target anti-clogging feature set; using the anti-clogging feedback coefficient obtained by normalizing and weighting the target anti-clogging feature set as a weight to adjust the laying adaptability.

[0013] In a possible implementation, the method for automatically controlling the laying of drip irrigation tapes with high efficiency and water conservation further performs the following processing: the anti-clogging feature set includes sediment content, flow reduction, and blockage rate.

[0014] The present application also provides an efficient and water-saving drip tape laying automation control system, which includes: an initial slope acquisition unit, used to obtain the initial slope of the target crop and the initial slope of the predetermined laying area; a laying control space construction unit, used to coordinate the inlet pressure threshold corresponding to the inlet pressure and the laying length threshold corresponding to the laying length to construct a laying control space; a laying control evaluation unit, used to use the initial slope as the laying control constraint, introduce an energy consumption evaluation mechanism to perform laying control evaluation, perform laying control optimization in the laying control space, and obtain an optimal laying strategy; a collaborative analysis unit, used to collaboratively analyze the optimal laying parameters in the optimal laying strategy and the initial slope to obtain a predicted irrigation feedback coefficient; a laying fitness acquisition unit, used to weight the energy consumption feedback coefficient corresponding to the optimal laying strategy and the predicted irrigation feedback coefficient to obtain laying fitness; a laying automation control unit, used to perform laying automation control on the predetermined laying area based on the optimal laying strategy if the laying fitness reaches a predetermined fitness threshold.

[0015] This application proposes an efficient, water-saving, automated control method and system for drip tape laying, which aims to obtain the intended laying area for the target crop and the initial slope. The system then establishes a laying control space based on the inlet pressure threshold and the laying length threshold. An energy consumption assessment mechanism is introduced to evaluate the laying control and optimize the optimal laying strategy. The optimal laying parameters and the initial slope are collaboratively analyzed to obtain a predicted irrigation feedback coefficient. The weighted energy consumption feedback coefficient and the predicted irrigation feedback coefficient are then combined to obtain the laying fitness. If the predetermined fitness threshold is reached, automated laying control is performed. This solves the existing technical problems of drip tape laying parameters being difficult to accurately adapt to terrain conditions, the laying process being unable to address both water and energy conservation needs, and resulting in uneven irrigation and excessive energy consumption. This system achieves precise matching of laying strategies, achieving the technical effect of improving drip tape irrigation uniformity and reducing energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the accompanying drawings of the embodiments of the present disclosure are briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the systems according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in precise order. Instead, various steps may be processed in reverse order or simultaneously as needed. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0017] Figure 1 A schematic flow chart of an automated control method for laying drip irrigation tapes that is efficient and water-saving is provided in an embodiment of the present application.

[0018] Figure 2A schematic diagram of the structure of an efficient and water-saving drip irrigation tape laying automation control system provided in an embodiment of the present application.

[0019] Explanation of reference numerals: initial slope acquisition unit 10 , paving control space construction unit 20 , paving control evaluation unit 30 , collaborative analysis unit 40 , paving fitness acquisition unit 50 , paving automation control unit 60 . DETAILED DESCRIPTION

[0020] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0021] In order to make the purpose, technical solutions and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limiting this application. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0022] In the following description, reference is made to “some embodiments”, which describes a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict, and the terms “first\second” involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. The terms “including” and “having” and any variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or that are inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs. The terms used herein are for the purpose of describing the embodiments of this application only.

[0023] The embodiment of the present application provides an efficient and water-saving drip irrigation tape laying automatic control method, such as Figure 1 As shown, the method includes:

[0024] Step S100: obtaining a predetermined planting area of ​​a target crop and obtaining an initial slope of the predetermined planting area.

[0025] Preferably, the planned planting area for the target crop is obtained. Specifically, the land planning map is checked to determine the planting area boundaries of the target crop, and the specific land planned for planting the specific target crop is understood. The planned planting area is then further determined based on the overall layout of the irrigation system. For example, the area where drip irrigation can be effectively carried out is determined based on the location of the water source, the direction of the main pipeline, and the distribution of the branch pipelines. A drone equipped with a GPS positioning device is used to measure along the boundary of the planned planting area, record the coordinates of each key point, and determine the planting area boundary through image analysis. Then, multiple measurement points are set within the planned planting area, and the elevation data of each point is measured using a level, a total station, or other measuring instrument. For example, measurement points are set at a certain interval (e.g., every 5 meters) to form a grid-like measurement point layout. The slope is calculated based on the elevation difference and horizontal distance between adjacent measurement points. By calculating the slope between all adjacent measurement points, the slope distribution of the entire planned planting area is obtained, and the average slope is calculated to obtain representative slope information for the entire planned planting area.

[0026] Step S200 : Constructing a paving control space by coordinating an inlet pressure threshold corresponding to the inlet pressure and a paving length threshold corresponding to the paving length.

[0027] Preferably, the inlet pressure refers to the pressure of irrigation water when it enters the drip tape, which directly affects the flow rate and flow of water in the drip tape, and thus affects the uniformity and effect of irrigation. Different target crops, soil types and specifications of drip tapes all require appropriate inlet pressure to ensure the best irrigation effect. The inlet pressure threshold is the pressure range boundary value set according to the drip irrigation design requirements, the water demand characteristics of the target crops and the performance of the drip tape, including the minimum inlet pressure threshold and the maximum inlet pressure threshold. If it is lower than the minimum threshold, it may not be possible to ensure that there is sufficient water pressure at the end of the drip tape to discharge water normally, resulting in uneven irrigation; if it is higher than the maximum threshold, the drip head flow may be too large, resulting in waste of water resources and even damage to the drip tape.

[0028] Preferably, the laying length refers to the total length of the drip tape laid within the predetermined laying area, which is related to the irrigation area, crop planting layout, and the arrangement of the drip tape. A longer laying length requires more water flow to meet irrigation needs, but also increases the resistance of water flow along the drip tape, affecting the pressure distribution. The laying length threshold is a length range boundary value set based on the hydraulic performance of the drip tape, the water supply capacity of the water source, and the allowable pressure loss. If the laying length exceeds the threshold, the pressure at the end of the drip tape may be too low, failing to meet the irrigation needs of the crops. If the laying length is too short, the water supply capacity of the drip irrigation system may not be fully utilized, resulting in resource waste. Finally, the inlet pressure threshold and the laying length threshold are coordinated to determine the feasible value range of the inlet pressure and laying length during the drip tape laying process, thereby constructing a laying control space. The laying control space is a parameter feasible domain constructed by the inlet pressure threshold and the laying length threshold, which is used to subsequently optimize the optimal laying parameter combination to achieve efficient and water-saving irrigation effects.

[0029] Step S300 , using the initial slope as a paving control constraint, introducing an energy consumption evaluation mechanism to perform paving control evaluation, performing paving control optimization in the paving control space, and obtaining an optimal paving strategy.

[0030] The initial slope preferably has a significant impact on the water flow within the drip irrigation tape. In areas with a slope, gravity causes water to flow downward, which in turn affects the pressure distribution and water flow rate within the drip irrigation tape. If the slope is large, water may flow rapidly to lower areas, resulting in insufficient irrigation in higher areas and excessive irrigation in lower areas. The initial slope is used as a constraint. For example, when the slope is steep, the laying method of the drip irrigation tape is adjusted (such as using segmented laying or installing a pressure reducing device), or the inlet pressure is adjusted to ensure uniform irrigation across the entire laying area. An energy consumption assessment mechanism is then introduced to evaluate laying control. This means that the energy consumed during operation under different laying strategies (different laying parameters such as inlet pressure and laying length) is evaluated, and the energy consumption of the drip irrigation system under each possible laying strategy is quantitatively calculated. For example, a higher inlet pressure requires more energy to maintain by the water pump, but may result in more uniform irrigation. A longer laying length, on the other hand, increases water flow resistance and energy consumption. Then, the laying control optimization is carried out in the laying control space, that is, the genetic algorithm or simulated annealing algorithm is used to continuously search in the laying control space, and each possible laying strategy is evaluated according to a pre-set objective function (such as a function that comprehensively considers irrigation uniformity and energy consumption). Through continuous iteration and comparison, the laying parameter combination that makes the objective function value optimal is finally found, that is, the optimal laying strategy. The optimal inlet pressure and laying length and other parameters of the drip irrigation tape are clearly determined in the current predetermined laying area. The drip irrigation tape is laid according to the optimal laying strategy, which can achieve the best balance between irrigation effect and energy consumption under the condition of meeting the initial slope constraint, and realize efficient water saving.

[0031] Furthermore, step S300 also includes step S310, randomly extracting the first paving strategy in the paving control space; step S320, forming a first paving parameter set based on the initial slope and the first paving strategy; step S330, traversing and matching the first paving parameter set in the drip tape paving database to obtain a target paving parameter set, and the target paving parameter set corresponds to a target historical paving; step S340, matching the target historical energy consumption information corresponding to the target historical paving, and analyzing the target historical energy consumption information to obtain the energy consumption distribution weight of the inlet pressure and the paving length; step S350, based on the energy consumption distribution weight, analyzing the first paving strategy to obtain a first energy consumption feedback coefficient; step S360, if the first energy consumption feedback coefficient is within a predetermined coefficient threshold, then using the first paving strategy as the optimal paving strategy.

[0032] Preferably, a laying strategy is randomly selected from the set laying control space as the first laying strategy, and the initial slope is combined with the various parameters in the first laying strategy (drip tape laying length and inlet pressure) to form a complete set, namely the first laying parameter set, which affects the distribution of water flow and pressure changes in the drip irrigation system, and thus affects the uniformity and energy consumption of irrigation; the first laying parameter set is traversed and matched in the drip tape laying database to find the target laying parameter set that is most similar to the first laying parameter set, and the target laying parameter set corresponds to the target historical laying, wherein the drip tape laying database stores parameters and related information of a large number of historical laying cases; then the target historical energy consumption information corresponding to the target historical laying is obtained, and the energy consumption under the historical laying condition is recorded. By analyzing the target historical energy consumption information, the influence of the inlet pressure and laying length on the energy consumption is determined. The energy consumption allocation weight is obtained to facilitate understanding which parameter has a greater impact on energy consumption under specific laying conditions. Then, based on the energy consumption allocation weight, the first laying strategy is analyzed, and the effects of inlet pressure and laying length on energy consumption are comprehensively considered to calculate the first energy consumption feedback coefficient, which is used to reflect the energy consumption of the first laying strategy, and then intuitively evaluate the performance of the strategy in terms of energy consumption. Finally, the first energy consumption feedback coefficient is compared with a predetermined coefficient threshold, where the predetermined coefficient threshold is a standard value set in advance and used to determine whether the energy consumption of a certain laying strategy is within an acceptable range. If the first energy consumption feedback coefficient is within the predetermined coefficient threshold, it means that the first laying strategy performs well in terms of energy consumption and can meet the design requirements. It is used as the optimal laying strategy. If it is not within the threshold, other laying strategies are tried until the optimal strategy that meets the conditions is found.

[0033] Furthermore, step S310 also includes step S311, randomly extracting any inlet pressure from the inlet pressure threshold in the laying control space; step S312, randomly extracting any laying length from the laying length threshold in the laying control space; step S313, the arbitrary inlet pressure and the arbitrary laying length constitute the first laying strategy.

[0034] Preferably, within the inlet pressure threshold of the paving control space, a specific inlet pressure value is randomly selected. For example, if the inlet pressure threshold is [10kPa, 30kPa], a value such as 15kPa is randomly selected within this interval as the selected inlet pressure; similarly, within the paving length threshold of the paving control space, a specific paving length value is randomly selected. Assuming that the paving length threshold is [100m, 500m], 200m is randomly selected as the selected paving length; then, any extracted inlet pressure value and any paving length value are combined to form a specific paving strategy, i.e., the first paving strategy, which includes two key parameters in the paving of the drip irrigation system, the inlet pressure and the paving length.

[0035] Furthermore, step S330 also includes step S331, extracting any laying parameter set from the drip tape laying database; step S332, visualizing the first laying parameter set and the arbitrary laying parameter set in turn to obtain a first visual graph and an arbitrary visual graph, respectively; step S333, performing similarity analysis on the first visual graph and the arbitrary visual graph to obtain an arbitrary similarity; step S334, when the arbitrary similarity reaches a predetermined similarity constraint, using the arbitrary laying parameter set as the target laying parameter set.

[0036] Preferably, a laying parameter set is randomly extracted from the drip irrigation tape laying database as an arbitrary laying parameter set, and then the first laying parameter set is visualized to present information such as the relationship between the parameters in the first laying parameter set and the possible impact of the parameters on the drip irrigation system, thereby obtaining a first visual graph. Similarly, the arbitrary laying parameter set is visualized to present the parameter information in the arbitrary laying parameter set visually to obtain an arbitrary visual graph; and then a similarity analysis is performed between the first visual graph and the arbitrary visual graph, such as feature matching based on graphics, difference measurement of parameter values, etc. , calculate their similarity, and obtain an arbitrary similarity, which reflects the similarity between the first paving parameter set and the arbitrary paving parameter set in parameter combination and characteristics; set a standard value of the similarity, that is, a predetermined similarity constraint. When the calculated arbitrary similarity reaches or exceeds the predetermined similarity constraint, it means that the arbitrary paving parameter set and the first paving parameter set are very similar in parameter combination and characteristics. The arbitrary paving parameter set is determined as the target paving parameter set, and the relevant information of the historical paving case corresponding to the target paving parameter set (such as energy consumption information, etc.) is used for performance analysis (such as energy consumption) of the first paving strategy.

[0037] Step S400 : performing a collaborative analysis on the optimal laying parameters in the optimal laying strategy and the initial slope to obtain a predicted irrigation feedback coefficient.

[0038] Preferably, the optimal laying parameters and initial slope in the optimal laying strategy are analyzed in tandem. Specifically, based on the inlet pressure and laying length in the optimal laying parameters, combined with the initial slope, the flow of water in the drip irrigation tape is analyzed using hydraulic principles. A mathematical model is then established to calculate the pressure distribution and water flow velocity at each point along the drip irrigation tape under a given slope and laying parameters. For example, in the presence of a slope, gravity causes additional pressure variations in the water flow, affecting the outflow of water at different locations on the drip irrigation tape. Based on the analysis of water flow movement, the water output of each dripper is determined. By comparing the differences in water output from drippers at different locations, irrigation uniformity is evaluated. For example, a statistical method is used to calculate the coefficient of variation of the water output of all drippers. A smaller coefficient of variation indicates higher irrigation uniformity. If, in an area with a larger initial slope, the optimal laying parameters are reasonably adjusted to achieve relatively uniform water output from each dripper, the laying strategy is considered to have good irrigation uniformity.

[0039] Preferably, the actual irrigation needs of crops are determined by considering factors such as crop type, growth stage, and soil characteristics. The actual irrigation water volume is then compared and analyzed with the crop's irrigation needs to calculate the irrigation demand, which represents the degree of match between the actual water volume required by the crop and the actual irrigation water volume. For example, based on soil moisture monitoring data and a crop water requirement model, the ratio of the amount of water that can be absorbed and utilized by the crop root layer under current irrigation conditions to the actual irrigation water volume is calculated. If this ratio is close to 1, the irrigation demand is high and the irrigation water volume can well meet the crop's needs. If the ratio is far less than 1, there may be over-irrigation or under-irrigation, requiring further adjustment of the laying parameters or irrigation strategy. Finally, the irrigation uniformity and irrigation demand are used to form a predicted irrigation feedback coefficient to comprehensively evaluate the irrigation effect of the drip irrigation system under specific terrain conditions, thereby achieving precise irrigation and improving water resource utilization efficiency.

[0040] Furthermore, step S400 also includes step S410, activating an irrigation feedback predictor, wherein the irrigation feedback predictor includes an irrigation uniformity prediction component and an irrigation demand prediction component; step S420, predicting and analyzing the optimal laying parameters and the initial slope through the irrigation uniformity prediction component to obtain predicted irrigation uniformity; step S430, wherein the irrigation uniformity prediction component is a prediction model obtained by machine learning and testing a uniformity training data set, and the uniformity training data set includes the target laying parameter set and the target historical irrigation uniformity, and the target historical irrigation uniformity refers to the irrigation uniformity of the target historical laying; step S440, collecting the target root feature set of the target crop, and predicting and analyzing the target root feature set through the irrigation demand prediction component to obtain predicted irrigation demand; step S450, normalizing and weighting the predicted irrigation uniformity and the predicted irrigation demand to obtain the predicted irrigation feedback coefficient.

[0041] Preferably, the irrigation feedback predictor is activated, and the included irrigation uniformity prediction component and irrigation demand prediction component work together to provide the drip irrigation system with predictive information on irrigation conditions from different angles, helping users to better understand and control the drip irrigation process, so as to improve irrigation efficiency and save water resources. Among them, the irrigation uniformity prediction component is used to predict the irrigation uniformity that the drip irrigation system can achieve under specific drip tape laying parameters (such as drip tape length, inlet pressure, etc.) and laying area conditions (such as initial slope). The irrigation demand prediction component is used to predict the crop's demand for irrigation water based on the target crop's root characteristics, such as root depth, root distribution range, root density, etc.

[0042] Preferably, a large amount of target laying parameter set data is collected, including different combinations of drip irrigation tape laying parameters, such as drip irrigation tape length, inlet pressure, laying slope, etc. At the same time, for each set of target laying parameter sets, the corresponding target historical irrigation uniformity data is collected. The target historical irrigation uniformity refers to the irrigation uniformity of the target historical laying, which can truly reflect the irrigation uniformity under specific laying parameters; then the target laying parameter set and the target historical irrigation uniformity are combined into a uniformity training data set, and then preprocessed and standardized, including cleaning, removing erroneous data, missing values ​​and outliers, and converting feature data of different ranges and magnitudes to a unified scale; then a uniformity prediction model is constructed based on a machine learning model (such as a decision tree, a support vector machine, a neural network, etc.) The uniformity training data set is then divided into a training set and a validation set, which include the target laying parameter set and irrigation uniformity, respectively. The prediction model is trained using the training set to enable the model to learn the influence of different parameters on irrigation uniformity, and obtain an irrigation uniformity prediction component that can predict the corresponding irrigation uniformity from the target laying parameter set as accurately as possible. The trained irrigation uniformity prediction component is tested using the validation set. Based on the results of the model test, the model is optimized and adjusted. For example, if the model is overfitting (performing well on the training set but poorly on the validation set), the regularization method is used to reduce the model complexity, and finally a prediction model with good performance that can accurately predict irrigation uniformity is obtained, namely, the irrigation uniformity prediction component.

[0043] Preferably, a large amount of data related to the target crop is collected, including root characteristic data of the target crop at different growth stages, such as root depth, root distribution range, root volume, root density, etc., as well as the corresponding actual irrigation demand data, and then the data is cleaned and standardized to remove noise and erroneous data in the data, and missing values ​​are filled using mean filling, filling based on similar samples, etc., to standardize the data with different characteristics; from the numerous root characteristics, features that have a significant impact on irrigation requirements are selected as input features of the model, and an irrigation requirement prediction model is constructed based on a machine learning model (such as a decision tree, random forest, support vector machine, neural network, etc.); the preprocessed data is divided into a training set and a validation set, and the selected model is trained using the training set data, and the model parameters are adjusted so that the model can predict the corresponding irrigation requirement from the target root feature set as accurately as possible; the validation set is used for evaluation, and the model hyperparameters are adjusted and optimized according to the performance of the model on the validation set, and finally a water requirement prediction component with good performance is obtained, which can accurately predict the predicted irrigation water requirement based on the input target root feature set of the target crop.

[0044] Preferably, the predicted irrigation uniformity and the predicted irrigation demand are normalized, the predicted values ​​are mapped to a unified range, and then weighted summation is performed according to the set weights to combine the indicators of two different dimensions to form a value that can comprehensively reflect the irrigation effect of the drip irrigation system and the crop demand, that is, the predicted irrigation feedback coefficient, and then a comprehensive evaluation is performed on the overall irrigation situation of the drip irrigation system under the current laying parameters and crop conditions.

[0045] Furthermore, step S440 also includes step S441, reading predetermined root characteristic indicators, and collecting root characteristics of the target crop based on the predetermined root characteristic indicators to obtain the target root characteristic set; step S442, wherein the predetermined root characteristic indicators include root length density, root depth, root coverage, root diameter and root type.

[0046] Preferably, predetermined root characteristic indicators are read, and relevant data of the target crop roots are collected according to these indicators to form a collection containing multiple root characteristic information, that is, a target root characteristic set, wherein the predetermined root characteristic indicators include root length density, root depth, root coverage, root diameter and root type. Root length density refers to the length of the root system per unit volume of soil, reflecting the density of the root system in the soil. The greater the root length density, the denser the root system is distributed in the soil, and the more widely it can absorb water and nutrients in the soil; root depth refers to the distance from the surface to the deepest position of the main root distribution area, reflecting the ability of crop roots to grow deep into the soil. Deeper roots can enable crops to better utilize water and nutrients in deep soil; root coverage refers to the projected area of ​​the root system on the soil surface. The percentage of the total area of ​​the plane is used to describe the horizontal expansion range of the root system. The greater the root coverage, the higher the degree of root coverage and occupation of the soil, which helps to fix the plant and prevent soil erosion. It also increases the contact area between the root system and the soil, and improves the efficiency of nutrient and water absorption. The root diameter mainly refers to the average diameter of the crop root system. Thicker roots generally have a stronger supporting effect and can better fix the plant. They may also have a more developed vascular system, which is conducive to the transportation of water and nutrients. The root type is a classification description of the morphology and structure of the crop root system, which can be divided into taproot system and fibrous root system. The taproot system has a clear distinction between main roots and lateral roots. The main roots are well-developed and penetrate deep into the soil. The fibrous root system has no obvious main roots and is composed of many adventitious roots. The root system is shallow and widely distributed.

[0047] Step S500 : Weighting the energy consumption feedback coefficient corresponding to the optimal paving strategy and the predicted irrigation feedback coefficient to obtain paving fitness.

[0048] Preferably, the optimal laying strategy is adopted to lay the drip irrigation tape for drip irrigation. By calculating the water pump power, operating time, and energy conversion efficiency (including water pump motor efficiency and transmission efficiency), etc., the energy consumption feedback coefficient is determined to measure the energy consumption level of the drip irrigation system during operation. For example, a lower energy consumption feedback coefficient indicates that under the same irrigation task, the laying strategy consumes less energy and has a higher energy utilization efficiency. Then, according to the scarcity of local water resources, energy costs, and the sensitivity of crops to irrigation uniformity, corresponding weights are assigned to the energy consumption feedback coefficient and the predicted irrigation feedback coefficient. For example, if local water resources are scarce and the requirements for irrigation uniformity and irrigation demand are high, the weight of the predicted irrigation feedback coefficient may be relatively large. If the energy cost is high, the weight of the energy consumption feedback coefficient is assigned a larger value. The energy consumption feedback coefficient and the predicted irrigation feedback coefficient are then multiplied by their respective weights and added together to obtain the laying adaptability, which can comprehensively reflect the comprehensive performance of the drip irrigation system laying strategy in terms of energy consumption and irrigation effect.

[0049] Step S600: If the paving fitness reaches a predetermined fitness threshold, automatic paving control is performed on the predetermined paving area based on the optimal paving strategy.

[0050] Preferably, the predetermined fitness threshold is based on environmental conditions, economic factors, and crop characteristics, and is used to determine whether the laying strategy meets the requirements of actual application. For example, for areas where water resources are scarce and energy costs are high, a higher predetermined fitness threshold may be set to ensure that the drip irrigation system can achieve a good level in terms of energy saving and irrigation effect. Then, the predetermined laying area is automatically controlled according to the optimal laying strategy, that is, the laying process of the drip irrigation system is precisely controlled by using automation technology and equipment according to the parameters and requirements determined by the optimal laying strategy. For example, using automated laying equipment, the laying spacing and slope of the drip irrigation tape are automatically adjusted according to preset procedures and parameters to ensure that each nozzle can be accurately installed in the predetermined position according to the design requirements. At the same time, various parameters in the laying process, such as soil moisture, terrain slope, etc., are monitored in real time through sensors, so that the laying parameters can be adjusted and optimized in time to ensure the laying quality and effect, thereby reducing irrigation energy consumption and improving irrigation efficiency.

[0051] Furthermore, step S600 also includes step S610, obtaining a target drip irrigation tape, wherein the target drip irrigation tape refers to a drip irrigation tape obtained by automatically controlling the laying of the predetermined laying area based on the optimal laying strategy; step S620, monitoring the operating status of the target drip irrigation tape to obtain real-time operating information; step S630, performing normalized weighted calculation of operating characteristics on the real-time operating information to obtain a real-time operating status index; step S640, issuing an early warning instruction if the real-time operating status index is not within the predetermined status index limit; step S650, performing operation and maintenance management on the target drip irrigation tape based on the early warning instruction.

[0052] Preferably, the target drip irrigation tape is the drip irrigation tape obtained after the automatic laying operation is performed on the predetermined laying area according to the optimal laying strategy, which integrates multiple factors such as initial slope, energy consumption, irrigation uniformity, etc., and can meet the irrigation needs of the target crops; the operation status of the target drip irrigation tape is monitored by installing various sensors (such as pressure sensors, flow sensors, etc.), including but not limited to water flow velocity, water pressure, flow, water output of the dripper and other information, to form real-time operation information; then the collected real-time operation information is processed, including normalizing the operation characteristic data of different types and magnitudes, and then assigning corresponding weights to each feature according to the importance of each operation feature to the operation status of the drip irrigation tape, and finally through The real-time operation status index is obtained through weighted calculation, which can reflect the real-time operation status of the drip irrigation belt; the predetermined status index limit is set according to the design standard and normal operation range of the drip irrigation belt, and the real-time operation status index is compared with the pre-set predetermined status index limit. If the real-time operation status index is not within the predetermined limit, it means that the operation status of the drip irrigation belt is abnormal, and the system will issue an early warning instruction; after receiving the early warning instruction, the staff will perform corresponding operation and maintenance management operations on the target drip irrigation belt according to the prompts of the instruction, which may include checking whether the drip irrigation belt is damaged or blocked, adjusting the water pressure or flow, replacing damaged parts, etc., to ensure that the drip irrigation belt can return to normal operation and ensure the stable operation of the irrigation system.

[0053] Furthermore, step S620 also includes step S621, forming an anti-congestion feature set, and traversing the anti-congestion feature set in the real-time operation information to obtain a target anti-congestion feature set; step S622, using the anti-congestion feedback coefficient obtained by normalizing and weighting the target anti-congestion feature set as a weight to adjust the paving fitness.

[0054] Step S621 further includes that the anti-clogging feature set includes sediment content, flow drop and blockage rate.

[0055] Preferably, an anti-clogging feature set is formed, including sediment content, flow reduction and blockage rate, wherein the sediment content reflects the content of sediment in the irrigation water, and too much sediment may cause blockage of the drip irrigation tape; the flow reduction reflects the degree to which the actual flow of the drip irrigation tape is reduced compared with the design flow, and a large flow reduction may indicate that the drip irrigation tape is blocked; the blockage rate directly indicates the degree to which the drip irrigation tape is blocked; and then the anti-clogging feature set is traversed in the real-time operation information, that is, from the various operation data monitored in real time, data related to the sediment content, flow reduction and blockage rate are extracted to form a target anti-clogging feature set, and then information related to the anti-clogging performance of the drip irrigation tape can be understood in real time according to the actual operation conditions. The various indicators in the target anti-clogging feature set are normalized, and then weighted calculation is performed according to the importance of each indicator to obtain the anti-clogging feedback coefficient, which comprehensively reflects the anti-clogging performance of the drip irrigation tape. Finally, the anti-clogging feedback coefficient is used as a weight to adjust the laying fitness, including correcting the laying fitness according to the actual anti-clogging situation of the drip irrigation tape. If the anti-clogging performance is good and the anti-clogging feedback coefficient is high, the laying fitness may be improved, indicating that the current laying method performs better in anti-clogging and is more conducive to the long-term stable operation of the irrigation system; conversely, if the anti-clogging performance is not good and the anti-clogging feedback coefficient is low, the laying fitness will be reduced, and the laying method or related parameters need to be adjusted to improve the anti-clogging performance of the drip irrigation tape and improve the overall performance of the irrigation system.

[0056] In the above, refer to Figure 1 The following describes in detail an efficient and water-saving drip irrigation tape laying automation control method according to an embodiment of the present invention. Figure 2 An efficient and water-saving drip irrigation tape laying automatic control system according to an embodiment of the present invention is described.

[0057] According to an embodiment of the present invention, an efficient and water-saving drip irrigation tape laying automation control system is used to solve the technical problems in the prior art that the drip irrigation tape laying parameters are difficult to accurately adapt to the terrain conditions, the laying process cannot take into account the water-saving and energy-saving requirements, resulting in uneven irrigation and excessive energy consumption. It achieves precise matching of laying strategies and achieves the technical effect of improving the uniformity of drip irrigation tape irrigation and reducing energy consumption. Figure 2 As shown, an efficient and water-saving drip irrigation tape laying automation control system includes: an initial slope acquisition unit 10, a laying control space construction unit 20, a laying control evaluation unit 30, a collaborative analysis unit 40, a laying fitness acquisition unit 50, and a laying automation control unit 60.

[0058] An initial slope acquisition unit 10 is used to obtain the initial slope of the target crop and the initial slope of the predetermined paving area; a paving control space construction unit 20 is used to coordinate the inlet pressure threshold corresponding to the inlet pressure and the paving length threshold corresponding to the paving length to construct a paving control space; a paving control evaluation unit 30 is used to use the initial slope as the paving control constraint, introduce an energy consumption evaluation mechanism to perform paving control evaluation, perform paving control optimization in the paving control space, and obtain an optimal paving strategy; a collaborative analysis unit 40 is used to collaboratively analyze the optimal paving parameters in the optimal paving strategy and the initial slope to obtain a predicted irrigation feedback coefficient; a paving fitness acquisition unit 50 is used to weight the energy consumption feedback coefficient corresponding to the optimal paving strategy and the predicted irrigation feedback coefficient to obtain paving fitness; a paving automation control unit 60 is used to perform paving automation control on the predetermined paving area based on the optimal paving strategy if the paving fitness reaches a predetermined fitness threshold.

[0059] The specific configuration of the laying control evaluation unit 30 will be described in detail below. The laying control evaluation unit 30 further includes: randomly extracting a first laying strategy from the laying control space; establishing a first laying parameter set based on the initial slope and the first laying strategy; traversing and matching the first laying parameter set in the drip irrigation tape laying database to obtain a target laying parameter set, wherein the target laying parameter set corresponds to a target historical laying; matching the target historical energy consumption information corresponding to the target historical laying, and analyzing the target historical energy consumption information to obtain an energy consumption allocation weight for the inlet pressure and the laying length; analyzing the first laying strategy based on the energy consumption allocation weight to obtain a first energy consumption feedback coefficient; and if the first energy consumption feedback coefficient is within a predetermined coefficient threshold, determining the first laying strategy as the optimal laying strategy.

[0060] The specific configuration of the paving control and evaluation unit 30 will be described in detail below. The paving control and evaluation unit 30 further includes: randomly extracting any inlet pressure from the inlet pressure threshold within the paving control space; randomly extracting any paving length from the paving length threshold within the paving control space; and the arbitrary inlet pressure and the arbitrary paving length constitute the first paving strategy.

[0061] The specific configuration of the laying control and evaluation unit 30 will be described in detail below. The laying control and evaluation unit 30 further includes: extracting an arbitrary laying parameter set from the drip tape laying database; sequentially visualizing the first laying parameter set and the arbitrary laying parameter set to obtain a first visual graph and an arbitrary visual graph, respectively; performing similarity analysis on the first visual graph and the arbitrary visual graph to obtain an arbitrary similarity; and when the arbitrary similarity meets a predetermined similarity constraint, using the arbitrary laying parameter set as the target laying parameter set.

[0062] The specific configuration of the collaborative analysis unit 40 will be described in detail below. The collaborative analysis unit 40 further includes: activating an irrigation feedback predictor, wherein the irrigation feedback predictor includes an irrigation uniformity prediction component and an irrigation demand prediction component; performing a prediction analysis on the optimal laying parameters and the initial slope through the irrigation uniformity prediction component to obtain a predicted irrigation uniformity; wherein the irrigation uniformity prediction component is a prediction model obtained by machine learning and verification of a uniformity training data set, and the uniformity training data set includes the target laying parameter set and the target historical irrigation uniformity, and the target historical irrigation uniformity refers to the irrigation uniformity of the target historical laying; collecting the target root feature set of the target crop, and performing a prediction analysis on the target root feature set through the irrigation demand prediction component to obtain a predicted irrigation demand; normalizing and weighting the predicted irrigation uniformity and the predicted irrigation demand to obtain the predicted irrigation feedback coefficient.

[0063] The specific configuration of collaborative analysis unit 40 will be described in detail below. Collaborative analysis unit 40 further includes: reading predetermined root characteristic indicators, and collecting root characteristics of the target crop based on the predetermined root characteristic indicators to obtain the target root characteristic set; wherein the predetermined root characteristic indicators include root length density, root depth, root coverage, root diameter, and root type.

[0064] The specific configuration of the automated laying control unit 60 will be described in detail below. The automated laying control unit 60 further includes: acquiring a target drip irrigation tape, wherein the target drip irrigation tape is the drip irrigation tape obtained by automated laying control of the predetermined laying area based on the optimal laying strategy; monitoring the operating status of the target drip irrigation tape to obtain real-time operating information; performing a normalized weighted calculation of operating characteristics on the real-time operating information to obtain a real-time operating status index; issuing a warning instruction if the real-time operating status index is not within a predetermined status index limit; and performing operation and maintenance management of the target drip irrigation tape based on the warning instruction.

[0065] The specific configuration of the automated paving control unit 60 will be described in detail below. The automated paving control unit 60 further includes: establishing an anti-blocking feature set, traversing the anti-blocking feature set within the real-time operation information to obtain a target anti-blocking feature set; and adjusting the paving adaptability using an anti-blocking feedback coefficient obtained by normalizing and weighting the target anti-blocking feature set.

[0066] The following will further describe the specific configuration of the paving automation control unit 60. The paving automation control unit 60 further includes: the anti-clogging feature set includes sediment content, flow rate reduction and clogging rate.

[0067] An efficient and water-saving drip irrigation tape laying automation control system provided by an embodiment of the present invention can execute an efficient and water-saving drip irrigation tape laying automation control method provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0068] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other and are not used to limit the scope of protection of the present invention.

[0069] The above specific embodiments do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application shall be included within the scope of protection of this application.

Claims

1. An efficient and water-saving drip irrigation tape laying automation control method, characterized in that: include: Obtaining a predetermined paving area for a target crop and obtaining an initial slope of the predetermined paving area; The paving control space is constructed by coordinating an inlet pressure threshold corresponding to the inlet pressure and a paving length threshold corresponding to the paving length; Taking the initial slope as a paving control constraint, introducing an energy consumption evaluation mechanism to evaluate paving control, performing paving control optimization in the paving control space, and obtaining an optimal paving strategy; Performing a collaborative analysis on the optimal laying parameters in the optimal laying strategy and the initial slope to obtain a predicted irrigation feedback coefficient; Weighting the energy consumption feedback coefficient corresponding to the optimal paving strategy and the predicted irrigation feedback coefficient to obtain paving fitness; If the paving adaptability reaches a predetermined adaptability threshold, automatic paving control is performed on the predetermined paving area based on the optimal paving strategy.

2. The method for controlling the laying of drip irrigation tape with high efficiency and water saving according to claim 1, characterized in that: Taking the initial slope as the paving control constraint, an energy consumption evaluation mechanism is introduced to evaluate the paving control, and paving control optimization is performed in the paving control space to obtain the optimal paving strategy, including: randomly extracting a first paving strategy in the paving control space; forming a first paving parameter set based on the initial slope and the first paving strategy; Traversing and matching the first laying parameter set in the drip irrigation tape laying database to obtain a target laying parameter set, where the target laying parameter set corresponds to a target historical laying; Matching target historical energy consumption information corresponding to the target historical paving, and analyzing the target historical energy consumption information to obtain energy consumption distribution weights of the inlet pressure and the paving length; Analyzing the first laying strategy based on the energy consumption allocation weight to obtain a first energy consumption feedback coefficient; If the first energy consumption feedback coefficient is within a predetermined coefficient threshold, the first paving strategy is used as the optimal paving strategy.

3. The method for controlling the laying of drip irrigation tape with high efficiency and water saving according to claim 2, characterized in that: Randomly extracting a first paving strategy in the paving control space includes: Randomly extract any inlet pressure from the inlet pressure threshold in the paving control space; Randomly extract any paving length based on the paving length threshold in the paving control space; The arbitrary inlet pressure and the arbitrary laying length constitute the first laying strategy.

4. The method for controlling the laying of drip irrigation tape with high efficiency and water saving according to claim 2, characterized in that: Traversing and matching the first laying parameter set in the drip irrigation tape laying database to obtain a target laying parameter set, including: Extracting any laying parameter set from the drip irrigation tape laying database; Performing visualization processing on the first laying parameter set and the arbitrary laying parameter set in sequence to obtain a first visual graph and an arbitrary visual graph respectively; performing similarity analysis on the first visible graph and the arbitrary visible graph to obtain an arbitrary similarity; When the arbitrary similarity reaches a predetermined similarity constraint, the arbitrary paving parameter set is used as the target paving parameter set.

5. The method for controlling the laying of drip irrigation tape with high efficiency and water saving according to claim 2, characterized in that: The optimal laying parameters in the optimal laying strategy and the initial slope are collaboratively analyzed to obtain a predicted irrigation feedback coefficient, including: activating an irrigation feedback predictor, wherein the irrigation feedback predictor includes an irrigation uniformity prediction component and an irrigation demand prediction component; Performing a prediction analysis on the optimal paving parameters and the initial slope by the irrigation uniformity prediction component to obtain a predicted irrigation uniformity; The irrigation uniformity prediction component is a prediction model obtained by machine learning and testing a uniformity training data set, and the uniformity training data set includes the target paving parameter set and the target historical irrigation uniformity, and the target historical irrigation uniformity refers to the irrigation uniformity of the target historical paving; collecting a target root system feature set of the target crop, and performing a prediction analysis on the target root system feature set using the irrigation requirement prediction component to obtain a predicted irrigation requirement; The predicted irrigation uniformity and the predicted irrigation demand are normalized and weighted to obtain the predicted irrigation feedback coefficient.

6. The method for controlling the laying of drip irrigation tape with high efficiency and water saving according to claim 5, characterized in that: Collect the target root system characteristic set of the target crop, including: Reading a predetermined root characteristic index, and collecting root characteristics of the target crop based on the predetermined root characteristic index to obtain the target root characteristic set; The predetermined root characteristic indicators include root length density, root depth, root coverage, root diameter and root type.

7. The method for controlling the laying of drip irrigation tape with high efficiency and water saving according to claim 1, characterized in that: After performing automated paving control on the predetermined paving area based on the optimal paving strategy, the method further includes: Obtaining a target drip irrigation tape, wherein the target drip irrigation tape is a drip irrigation tape obtained by automatically controlling the laying of the predetermined laying area based on the optimal laying strategy; Monitor the operating status of the target drip irrigation belt to obtain real-time operating information; Performing normalized weighted calculation of operation characteristics on the real-time operation information to obtain a real-time operation status index; If the real-time operating status index is not within the predetermined status index limit, issuing a warning instruction; The target drip irrigation belt is operated and maintained based on the early warning instruction.

8. The method for controlling the laying of drip irrigation tape with high efficiency and water saving according to claim 7, characterized in that: After monitoring the operating status of the target drip irrigation belt and obtaining real-time operating information, the method further includes: Establishing an anti-blocking feature set, and traversing the anti-blocking feature set in the real-time operation information to obtain a target anti-blocking feature set; The anti-blocking feedback coefficient obtained by normalizing and weighting the target anti-blocking feature set is used as a weight to adjust the paving fitness.

9. The method for controlling the laying of drip irrigation tape with high efficiency and water saving according to claim 8, characterized in that: The anti-clogging feature set includes sediment content, flow drop and blockage rate.

10. An efficient and water-saving drip irrigation tape laying automation control system, characterized in that: The system is used to implement the efficient and water-saving drip irrigation tape laying automation control method according to any one of claims 1 to 9, and the system comprises: an initial slope obtaining unit, configured to obtain an initial slope of the target crop and an initial slope of the predetermined paving area; a paving control space construction unit, configured to construct a paving control space by coordinating an inlet pressure threshold corresponding to the inlet pressure and a paving length threshold corresponding to the paving length; a paving control evaluation unit, configured to use the initial slope as a paving control constraint, introduce an energy consumption evaluation mechanism to perform paving control evaluation, perform paving control optimization in the paving control space, and obtain an optimal paving strategy; a collaborative analysis unit, configured to collaboratively analyze the optimal paving parameters in the optimal paving strategy and the initial slope to obtain a predicted irrigation feedback coefficient; a paving fitness acquisition unit, configured to weight the energy consumption feedback coefficient corresponding to the optimal paving strategy and the predicted irrigation feedback coefficient to obtain paving fitness; The paving automation control unit is used to perform paving automation control on the predetermined paving area based on the optimal paving strategy if the paving fitness reaches a predetermined fitness threshold.

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