272 results about "Field conditions" patented technology

An autonomous agricultural drone system for the precise spraying of pesticides, consisting of: an advanced image recognition camera integrated with an artificial intelligence (AI) module specifically trained on pest and plant health datasets, with the camera configured to detect specific pests, identify pest hotspots, and differentiate between healthy and stressed plants; a real-time decision processor that is operationally connected to the image recognition camera, the processor being configured to: Data received from the image recognition camera is interpreted to assess pest density and plant health. adjusts the pesticide output and spraying patterns of the drone based on real-time field conditions, determines the severity of pest infestation in order to avoid excessive use of pesticides and to apply pesticides precisely and only where they are needed; a multitude of intelligent spray nozzles equipped with sensors and actuators, each nozzle configured to dynamically adjust its spray rate based on pest density and plant species, as determined by the real-time decision processor, thereby minimizing chemical use and environmental impact; characterized by the fact that The drone system includes a multi-liquid injection nozzle system that allows the drone to carry and selectively apply multiple solutions, including pesticides and nutrients, in a single flight, with the system configured to switch between solutions in response to real-time data from the image recognition camera and decision processor.

The invention discloses an electric power engineering defect diagnosis method based on AI image recognition and a block chain technology, and relates to the technical field of electric power engineering defect diagnosis, and the method comprises the following steps: setting the initial flight rate of an unmanned plane according to the monitoring demands and field conditions of an electric power line, it is ensured that the unmanned aerial vehicle can cover all key areas of the power line in the inspection process, and meanwhile the inspection efficiency is kept. According to the invention, by intelligently adjusting the flight rate of the unmanned aerial vehicle, the unmanned aerial vehicle can stay in a potential abnormal area for a longer time, and detailed acquisition of temperature data is ensured, so that tiny temperature changes, especially tiny temperature anomalies caused by electric arcs and electrical overload, can be captured more accurately. According to the intelligent adjusting mechanism, in the inspection process, the inspection efficiency of the whole process can be guaranteed, accurate monitoring of the key area can be guaranteed, and the risk of detail loss or temperature anomaly missing detection caused by the too high flight speed is reduced.

The invention provides a cross-scale nesting and fusion modeling method for a multi-scale geological model, which belongs to the field of geology and comprises four steps of multi-scale data preprocessing, data fusion, cross-scale nesting and fusion and dynamic coupling. According to the method, multi-source heterogeneous data can be integrated, data fusion is realized through a joint probability space, a variational assimilation framework, a fuzzy logic conflict factor and an alternating direction multiplier method, and the stability and precision of the model are improved by using a deep learning auxiliary fusion technology, such as a multi-scale convolutional adversarial network. Meanwhile, model parameters are determined through a volume average upscaling algorithm and random field condition simulation, dynamic adjustment is carried out through set Kalman filtering and localized set transformation Kalman filtering, and consistency, bidirectional feedback and iterative optimization of the parameters between the models are achieved. And finally, multi-scale convergence is realized through a dual grid strategy and restrictive interpolation, and convergence and dynamic balance of the model on the scale from kilometer to micrometer are ensured.

The invention discloses a mobile crossing frame capable of automatically unfolding a telescopic cloth net, and relates to the field of crossing frames for power line construction. A traditional electric power line crossing frame is usually built by adopting moso bamboos or steel pipes, and the building mode of the crossing frame is long in construction period and large in safety risk. The automatic net arranging device comprises a U-shaped frame body, a front automatic net arranging mechanism capable of automatically arranging a bearing net forwards, a rear automatic net arranging mechanism capable of automatically arranging the bearing net backwards, a telescopic stay cable and an adjustable connecting frame capable of adjusting a pitching angle and a horizontal rotation angle, wherein the extension length of the bearing net can be flexibly set according to field conditions; and a plurality of rolling shafts are arranged on a cross beam of the U-shaped frame body. The crane can be used as a mobile platform to carry out flexible mobile construction, the construction period is short, the telescopic stay cable can have pretightening force to synchronously extend with the front and rear automatic net arrangement mechanisms, the bearing capacity and flatness of the net blocking platform are enhanced, the adaptability and safety of large-span construction are improved, and the traction resistance of a wire can be reduced through the rolling shafts.

The invention discloses a structure-function-operation mechanism-based regional water resource supply and demand system drought toughness evaluation method. The method comprises the following steps of S1, establishing a regional water resource supply and demand system drought toughness evaluation model; s2, constructing a drought toughness evaluation index system of the regional water resource supply and demand system; S3, determining an evaluation standard of each index of the regional water resource supply and demand system in combination with the field condition of the research region; s4, optimizing and screening the indexes screened in the step S2 by using a principal component analysis method; s5, determining the comprehensive weight of the optimized and screened evaluation indexes in a mode of combining an analytic hierarchy process and an entropy evaluation method; and S6, on the basis of determining the comprehensive weight of the optimized and screened evaluation indexes, calculating the comprehensive toughness index of the regional water resource supply and demand system by using a fuzzy comprehensive evaluation method, and evaluating the drought toughness of the regional water resource supply and demand system.

The invention belongs to the field of rapid detection of environment-friendly water quality, and particularly relates to a kit for rapidly detecting the concentration of fluorine ions in water and a use method thereof. The invention discloses a rapid detection kit for the concentration of fluorine ions in water. The rapid detection kit comprises a fluorine ion rapid detection reagent, a fluorine ion rapid detection color card, a detection accessory and a use method of the rapid detection kit. According to the invention, tedious operations such as solid powder, dangerous organic solvent and multi-step pipetting addition are not needed, the device is convenient to carry, and rapid, simple, high-precision and high-interference-resistance fluorine ion detection of non-specialized personnel under field conditions is realized.

A system for monitoring field conditions includes a sensor arm pivotably coupled proximate its first end to an agricultural implement and proximate its second end to a sensor configured to generate data indicative of a field condition. Moreover, the system includes an actuator configured to actuate the sensor arm relative to the agricultural implement such that a field of view of the sensor is directed towards a first lateral region of the aft portion of the field when the sensor arm is in a first position and a second lateral region of the aft portion of the field when the sensor arm is in a second position. Additionally, the system includes a computing system configured to control an operation of the actuator to actuate the sensor arm, receive the data generated by the sensor, and determine the field condition of at least the first and second lateral regions.

The invention belongs to the technical field of fan hoisting, and particularly relates to a high-power fan hoisting control system and method based on a low-temperature environment narrow site, and the method comprises the steps: collecting environment data of a construction site, including real-time temperature and parameters such as humidity and wind speed related to the temperature, building a high-precision temperature prediction model, and accurate temperature prediction of the construction environment is realized. Based on the temperature prediction, dynamic adjustment of hoisting power parameters can be implemented, intelligent planning and optimization of a hoisting path can be realized by avoiding a low-temperature sensitive area in the hoisting path, and efficient operation under low-temperature and narrow site conditions is ensured. By means of the comprehensive management mode, the safety and efficiency of operation under the extreme environment condition are remarkably improved, and performance reduction and misoperation of a power system caused by low temperature are effectively avoided.

The invention relates to the technical field of frozen soil sample confining pressure testing, and discloses a subarea temperature control dynamic confining pressure loading device suitable for an over-saturated frozen soil sample, which comprises a hydraulic machine device controlled by a console, an air pressure mechanism, a cooling mechanism and a multi-state confining pressure assembly, a flexible rubber three-dimensional strain stress sensing cylinder for accommodating a frozen soil sample is arranged in the middle of the multi-state confining pressure assembly, and a temperature sensor and a pressure sensor are arranged in the flexible rubber three-dimensional strain stress sensing cylinder; the multi-state confining pressure assembly is formed by stacking a plurality of groups of multi-state confining pressure units; according to the invention, complex stress transfer and non-uniform confining pressure among soil particles in a natural stratum can be simulated, and the simulation authenticity of the stress condition of the frozen soil sample is obviously improved. According to the invention, independent temperature control of soil body areas at different heights can be realized, a stable temperature gradient from the top to the bottom of a frozen soil sample can be accurately established, and a temperature boundary more conforming to field conditions is provided for research on mechanical behaviors of frozen soil.

The present invention discloses a device and method for quantitative collection, processing and preservation of liquid samples, comprising: a quantitative measuring chip and a porous material chip connected to the quantitative measuring chip via a structural member; the quantitative measuring chip is provided with a microchannel network having an inlet and multiple outlets; the porous material chip is provided with multiple processing and preservation units that dock with the multiple outlets when in a folded working state. Utilizing the device of the present invention, quantitative measurement of liquid samples from nanoliter to milliliter levels can be achieved. The present invention combines liquid sample collection, processing and preservation, and immediately performs post-processing such as antibacterial, drying, and enrichment upon completion of liquid sample collection, so that the sample can be preserved on the porous material chip for a long time, greatly facilitating the collection, processing and preservation of liquid samples. The present invention has a simple structure and is easy to operate, and can still maintain reliable performance under non-professional conditions or field conditions.

The invention relates to the field of electromagnetism, in particular to a micro-magnetic method for predicting magnetic characteristics of a magnetic sample, which comprises the following steps of: (1) constructing a plurality of magnet models with different magnetic domain sizes, shapes and magnetic domain numbers, and determining magnetic parameters of the magnet models; (2) placing the to-be-measured magnet under a preset external field condition to obtain the magnetization intensity of the to-be-measured magnet, and comparing the magnetization intensity with the measurement result of each model under the same external field condition; (3) determining the similarity between the to-be-tested magnet and each model, finding out the model with the highest similarity, and calling each magnetic parameter of the model; and (4) determining the external field condition of the magnet to be detected in the new target environment.

The invention provides a fault detection semi-supervised learning method for a three-dimensional seismic data sparse labeling scene. The fault detection semi-supervised learning method is used for realizing stable and continuous three-dimensional fault identification under the condition that only a small number of two-dimensional slices are labeled and a large number of voxels are not labeled. According to the method, firstly, a supervision mask is generated in a three-dimensional space based on two-dimensional marking, and supervision learning is executed only in an effective area to adapt to marking scarcity characteristics; and then, constructing a double-student model, keeping prediction coordination in an unlabeled area through mutual generation of pseudo labels, probability consistency and confidence constraint, and applying consistency constraint to overlapped areas of adjacent three-dimensional sub-blocks in combination with a teacher model so as to maintain spatial continuity of a fault structure. Through joint optimization of synthetic data pre-training and field data migration training, the model can still obtain reliable fault structure expression under the field conditions of strong noise, weak reflection and obvious cross-work-area difference.

The utility model discloses an isolation belt device for blocking and treating acid mine wastewater, and belongs to the technical field of mine wastewater isolation. The device comprises a buoy, an isolation belt fixing frame is arranged at the bottom of the buoy, a weight settling box is arranged at the bottom of the isolation belt fixing frame, and filler is filled in the weight settling box; biomass filler is arranged in the isolation belt fixing frame, and three-dimensional elastic brush filler is arranged on the front side and the rear side of the isolation belt fixing frame in a binding mode. The device disclosed by the utility model is simple in structure, can be effectively assembled according to site conditions, can be in contact with the bottom, realizes multi-depth treatment, can effectively reduce the concentration of dissolved oxygen converged into AMD, gradually improve the bottom layer environment, promote the growth of anaerobic microorganisms, perform biofilm formation synergistic treatment by using indigenous microorganisms and avoid the problem of adaptability of exogenous microbial agents, and can be effective for a long time; the cost and the risk of additionally adding nutrient sources and microorganisms are reduced.

The utility model relates to the technical field of cable supports, and discloses a cable support convenient for metro construction, which comprises a fixed frame, an object placing plate is attached to the outer wall of the fixed frame, a fixed sleeve is fixedly connected to the inside of a positioning block, a sliding block is slidably connected to the inner wall of the fixed sleeve, a sliding sleeve is fixedly connected to the upper surface of the sliding block, and the sliding sleeve is fixedly connected to the lower surface of the sliding block. The sliding sleeve is slidably connected to the interior of the positioning block, a limiting block is fixedly connected to the outer wall of the sliding block, a U-shaped sliding groove is formed in the fixing sleeve, the outer wall of the limiting block is slidably connected to the interior of the U-shaped sliding groove, and a sliding rod is fixedly connected to the lower surface of the sliding block. According to the utility model, the problems that the fixed design cannot meet variable requirements and the adaptability of the bracket is limited due to the fact that the storage plates are difficult to adjust are solved, and the purposes of flexibly adjusting the number, position and height of the storage plates and increasing the adaptability of equipment according to different construction requirements and field conditions are achieved.

The invention provides a configuration method for reconstructing a self-healing function of a traction power supply system, which adopts a hierarchical and hierarchical configuration mode, expands a mode flow step by step by a configuration tool according to an optional power supply network configuration scheme, intelligently selects an applicable action flow according to the current network condition during engineering application, and improves the self-healing function of the traction power supply system. The configuration of reconstructing the self-healing function is simply and quickly completed. According to the method, all action steps involved in the reconstruction self-healing process are switched, and meanwhile, switch attributes such as switch types, action time and synchronous actions are set for each switch, so that the reconstruction self-healing function can be completed more accurately, effectively and quickly. According to the method, real-time reconstruction self-healing process confirmation and modification can be provided, under the condition that a device is not restarted, the mode process is modified through a real-time human-computer interaction interface, the modified and confirmed reconstruction self-healing mode process is sent to a dispatching end for confirmation, and various unexpected field conditions can be flexibly coped with.

The utility model relates to the technical field of cranes, and particularly discloses a portal crane anchoring device which comprises a crane body and a track, a mounting plate is arranged on one side of the crane body, an anchoring component is pivotally connected onto the mounting plate, a connecting plate is arranged on the side surface of the mounting plate, and one end of the connecting plate is pivotally connected onto the mounting plate. The connecting plate is connected with the anchoring assembly through a bolt, a first anchoring block is arranged on the side wall of the track, and a second anchoring block is arranged on the ground on one side of the track. According to the anchoring device, the anchoring assembly is matched with the first anchoring block and / or the second anchoring block in an inserted mode, anchoring of the crane body is achieved, anchoring is stable and reliable, the anchoring assembly can be selected to be in anchoring connection with the first anchoring block and / or the second anchoring block according to different field conditions, flexibility is high, anchoring efficiency is improved, and the anchoring device is convenient to use. A pure mechanical structure is adopted as a whole, the cost is low, dependence on electricity, gas and liquid is eliminated, the failure rate is reduced, and use is stable and reliable.

The invention relates to the field of construction quality management, and provides a tunnel lining construction quality management and control method and system.The method comprises the steps that first information and second information are obtained, and the first information comprises geological survey parameters of a tunnel target section, a lining design BIM model, concrete material parameters and construction equipment parameters; the second information comprises field condition information after the tunnel target section is demoulded; discrete element-finite element coupling simulation and multi-parameter space traversal analysis processing are carried out according to the first information, and a process parameter sensitivity map and a defect risk early warning database of lining construction are obtained; according to the process parameter sensitivity map, the defect risk early warning database and the second information, performing fusion to obtain a multi-physics field fusion feature tensor; performing traceability processing according to the multi-physical field fusion feature tensor to obtain a defect cause diagnosis report; and the construction parameters of the next target section are adjusted according to the defect cause diagnosis report. According to the invention, active early warning of the tunnel lining construction quality is realized.

The invention relates to the technical field of agricultural machinery, and discloses an intelligent dynamic regulation and control method for cleaning operation of a rice and wheat combine harvester, which comprises the following steps: setting an operation parameter initial value of a cleaning device according to operation condition information; the cleaning loss rate, the cleaning impurity rate and operation parameters are monitored in real time; the data obtained through real-time monitoring are compared with a preset threshold value, and the cleaning operation state is evaluated; the regulation and control priority is judged based on the combination of the cleaning loss rate state and the cleaning impurity rate state obtained through evaluation; a corresponding rule set is matched according to the judged priority and the cleaning operation state, and a parameter regulation and control decision is generated; calculating and executing parameter adjustment based on a parameter regulation and control decision, and performing loop iteration control after evaluating a regulation and control effect; automatic optimization of cleaning operation of the rice and wheat combine harvester is achieved through the intelligent dynamic regulation and control technology, manual intervention is not needed in the whole regulation and control process, cleaning parameters can be automatically adjusted according to field condition changes, and it is guaranteed that the cleaning loss rate and the impurity rate are stabilized within the ideal range.

The invention relates to the technical field of ocean engineering, in particular to a laboratory calibration method for reducing the flow velocity of a gravity anchor recovery force nozzle. The method comprises the following steps: S1, obtaining a field soil body needing gravity anchor recovery operation through a thin-wall soil sampler, and preparing a triaxial test sample; s2, calculating confining pressure and axial pressure according to field conditions; s3, the prepared sample is installed on a triaxial apparatus, the calculated confining pressure and axial pressure are applied, initial back pressure is applied through a back pressure system of the triaxial apparatus, and the water injection amount changing along with time is recorded; s4, performing a multi-pressure-difference test and fluid viscosity correction based on the initial back pressure applied in S3; and S5, according to a test result, carrying out actual working condition flow velocity conversion. The back pressure value is changed, the corresponding water injection rate and time are recorded, and the flow velocity is corrected in combination with factors such as fluid viscosity, so that the accuracy of an experimental result is improved, and a scientific basis is provided for optimizing a nozzle design.

The utility model discloses an extracorporeal circulation blood vessel connecting structure under a field operation condition, and relates to the technical field of medical instruments. The connecting structure comprises a connecting assembly I and a connecting assembly II; the two ends are respectively inserted into blood vessels on the left and right sides of the broken blood vessel; the first connecting assembly and the second connecting assembly are of the same structure and are symmetrically arranged, and each connecting assembly comprises a puncture assembly, a drainage tube and a connecting base arranged at the end of the drainage tube. The switching structure is connected between the first connecting assembly and the second connecting assembly. According to the extracorporeal circulation blood vessel connecting structure under the field operation condition, rapid and stable connection of broken blood vessels is achieved by designing the connecting structure and the switching structure, and therefore the treatment efficiency and the survival rate of wounded personnel in the field operation environment are remarkably improved.

The invention relates to the technical field of hydraulic fracturing, in particular to a DTS fracturing injection flow distribution monitoring device and method based on DAS interpretation. The device comprises a simulated rock core, a simulated wellbore, a distributed optical fiber, a triaxial pressurization plate, a heating plate, a heat insulation plate, an intermediate container, a high-pressure constant-flux pump, a fracturing fluid injection pump, a fracturing fluid tank, a hydraulic oil tank, a three-way hydraulic pump, a distributed optical fiber demodulation instrument, a true triaxial simulated fracturing rock core rack and a computer. According to the DTS fracturing injection flow distribution monitoring method based on DAS explanation, the hydraulic fracturing process under the reservoir temperature field condition can be simulated in the laboratory environment, real-time monitoring of injection flow distribution in the hydraulic fracturing process is achieved, real-time adjustment of fracturing injection parameters is facilitated, reference is provided for on-site fracturing design, and the method has the advantages of being high in practicability and the like. In addition, on the basis of the established relational expression of the flow and the temperature, distributed monitoring of the flow of each section can be achieved only through the DTS.

The utility model discloses a plant or prey smell preference selection experiment device for insects, which comprises an outer packaging box and a belt wheel fixing frame, and is characterized in that an insect selection chamber is mounted on one side of the top end of the outer packaging box, a smell source chamber is mounted on the other side of the top end of the outer packaging box, and the smell source chamber comprises six hollow chambers; the six hollow chambers are distributed at the top end of the outer packaging box in two rows and three columns, gas flow meters are installed on the tops of the sides, away from the insect selection chamber, of the two rightmost hollow chambers correspondingly, outlets of the gas flow meters communicate with the interiors of the hollow chambers, and first silicone tubes are connected to inlets of the two gas flow meters correspondingly. The device is convenient to carry, simple and convenient to operate, diversified in function, capable of being used in laboratories and under the field condition, capable of reducing interference of other smells in the environment, simple in device connection method, capable of being used repeatedly and more suitable for the actual situation.

The invention relates to a model for rapidly predicting the peak intensity of MICP improved construction waste, a model construction method and a prediction method. According to the model constructed by the invention, the performance evaluation time of the construction waste can be remarkably shortened, so that an engineering project can enter a construction stage more quickly. According to the efficient evaluation means, the labor and material resource investment in the test process is reduced while the test requirements of a laboratory are reduced, so that the overall engineering cost is reduced, and the economic benefits are improved. The method provided by the invention is especially suitable for the condition with limited field conditions. The simplicity not only improves the flexibility of evaluation, but also can adjust parameters in time in actual construction, and ensures the optimal effect of MICP improvement.

The invention relates to the technical field of machine learning, and particularly discloses a remote intelligent control method for a gas pipeline multi-branch safety valve based on an AI model, and the method comprises the following steps: obtaining original flow data and pipeline inner wall image data of a plurality of branches of a gas pipeline; inputting the original flow data and the pipeline inner wall image data into a pre-trained flow correction model to obtain corrected flow data of each branch; based on the corrected flow data, a control instruction of each branch safety valve is calculated through a control algorithm, and the control instruction comprises the specific adjustment amount of the opening degree of the safety valve; and sending the control instruction to a safety valve execution device of a corresponding branch through a communication network. The negative influence of the corrosion form on the stability of the flow field is effectively eliminated, precise control over gas conveying under the non-uniform flow field condition is achieved, and the safety of a gas pipeline system and the gas supply stability are guaranteed.

The invention provides an RCS (radar cross section) test calibration method under a far field condition, and belongs to the technical field of radar cross section test. According to the method, based on the SOL calibration technology, the RC S test calibration method under the far-field condition is designed according to the characteristics of an RCS test system under the far-field condition, system errors can be accurately separated by using the SOL calibration technology, and in the far-field RCS test, internal errors of test equipment and additional errors caused by mismatching of the equipment can be remarkably reduced; in addition, environmental errors generated in air transmission can be compensated on the basis that a high-power power amplifier is not used, and the dynamic range and sensitivity of measurement are improved. And meanwhile, a background noise vector cancellation and time domain gating method is combined, so that useful signals of the to-be-detected target can be well extracted from a plurality of interference signals, and accurate evaluation on the RCS of the to-be-detected target is completed.

System and method for determining at least one first measurement region for carrying out at least one measurement with a crop nutrient measurement device for providing a fertilizer recommendation based on position dependent yield data. Different embodiments for determination of the measurement regions regarding specific locations and field conditions are disclosed.

The invention discloses a rotary tillage tilling depth detection device, system and method in the field of tilling depth detection, and the device comprises an acquisition module, a data processing module for processing data, a cloud server for storing the data, a terminal upper computer for receiving the data, and a main controller. The data processing module comprises a data processing algorithm used for calculating the depth of a plowing layer according to collected plowing pressure data, the main controller is used for outputting an instruction to the servo motor and transmitting the data to a display screen of the terminal upper computer, and the display screen is used for inputting parameters processed by the data processing module. The display screen is also provided with a visual window, and the visual window is used for displaying a data processing result. According to the data processing algorithm, the average lag value is obtained by processing a large amount of data under the simulation condition, the lag phenomenon of hardware can be eliminated, the preset value is used for processing the data under the field condition, and interference data under the field condition is eliminated.

The utility model relates to the related technical field of flameless discharge, in particular to a flameless discharge device with signal output, which comprises a first fixed bottom plate, an extension mechanism is arranged on the upper surface of the first fixed bottom plate, and a second fixed bottom plate is hinged to the surface of one end of the first fixed bottom plate. And a mounting mechanism is arranged on the lower surface of the first fixed bottom plate. According to the flameless relief device with signal output, after the first fixed bottom plate is mounted, the second flameless relief shell on the first flameless relief shell is rotated; a second arc-shaped fixing strip in a first arc-shaped fixing groove in the inner side of the second flameless discharge shell and a first arc-shaped fixing strip in a second arc-shaped fixing groove slide in a first arc-shaped sliding groove and a second arc-shaped sliding groove in the outer side of the first flameless discharge shell, and then the second flameless discharge shell drives a second fixing bottom plate fixed to the second flameless discharge shell to rotate. And the second fixed bottom plate can be rotated to select a proper angle according to the use requirements under field conditions, and then installation is carried out.

The invention discloses a deep-sea mining vehicle reduced scale model and simulated deep-sea sediment interaction experiment device. The device comprises a land mud pool, a double-side jacking mechanism, a simulated laying system and a reduced scale robot prototype; the land mud pool comprises a main mud pool and self-prepared sediments loaded in the main mud pool and used for simulating the seabed environment, and the scale robot prototype is placed on the self-prepared sediments so as to autonomously advance; the simulated laying system comprises a supporting table, a winch, a hoisting frame and a steel cable; according to the invention, the influence of the simulated laying system, the steel cable and the hoisting frame on the seabed movement process of the mining vehicle is creatively considered, and the slope is considered, so that the design of the climbing movement experiment device at different angles is realized; according to the invention, the interaction research of the real deep-sea mining vehicle and the substrate under the condition of a flow field can be obtained, and the application of the vehicle terramechanics in the deep-sea mining vehicle marching dynamics process is extended.

This invention discloses a hydrophobicity rating system for superhydrophobic surfaces of energy equipment, relating to the field of hydrophobicity rating technology. The system includes a data acquisition module, an optimal parameter combination module, a sample preparation module, a hydrophobicity quantification and evaluation module, a test closed-loop calibration module, and a hydrophobicity rating classification and output module. These modules are interconnected, and through their collaborative operation, the system quantifies, performs closed-loop calibration, and classifies the hydrophobicity index of superhydrophobic samples of energy equipment with different microstructures. The closed-loop calibration process fully considers both anti-icing and weather resistance, significantly improving the accuracy and generalization ability of the hydrophobicity rating results. This solves the problems of inaccurate evaluation results and inability to adapt to extreme field conditions caused by traditional evaluation systems relying solely on conventional laboratory environments, single physical tests, and empirical thresholds for rating. This enhances the intelligence level of hydrophobicity rating evaluation for superhydrophobic surfaces of energy equipment.