613 results about "Soil temperature" patented technology

The invention discloses a farmland soil quality dynamic diagnosis method based on multi-source remote sensing collaborative inversion, and relates to the technical field of agricultural information, and the method comprises the steps: collecting physical and chemical parameters of soil temperature, humidity, pH value, organic matter content, nitrogen phosphorus and potassium concentration and the like in real time through a multi-source sensor network; removing abnormal values by using a data preprocessing algorithm, performing standardization processing, generating a standardized soil parameter set for subsequent climate and management factor correlation analysis, automatically generating a risk early warning signal, pushing the risk early warning signal to an agricultural management decision platform, and completing full-process analysis from data acquisition to decision support; the farmland soil quality dynamic diagnosis method based on multi-source remote sensing collaborative inversion can provide a scientific basis for agricultural management decision, effectively guide farmland management practice, and improve soil quality and agricultural production efficiency.

The invention relates to the technical field of seepage monitoring, and discloses a seepage monitoring system based on a hydraulic engineering project. The system collects water level, flow velocity, seepage flow, soil humidity, soil temperature and soil pressure data through a data collection module, a data analysis module calculates standard soil humidity, standard water flow velocity, standard soil pressure, standard soil temperature and standard seepage flow according to the data, establishes a mathematical model, calculates seepage abnormal indexes, and calculates the seepage abnormal indexes according to the standard soil humidity, the standard water flow velocity, the standard soil pressure, the standard soil temperature and the standard seepage flow. The risk assessment and early warning module performs threshold judgment on the seepage abnormal indexes, sends out an overrun signal when an overrun condition occurs, predicts a future seepage trend by using a moving average method at the moment, generates a future seepage trend broken line graph and a seepage risk assessment report, and uniformly transmits the future seepage trend broken line graph and the seepage risk assessment report to the emergency response module; and when the emergency response module receives the overrun signal, an emergency plan is started, and related managers are informed of the emergency plan, the future seepage trend broken line graph and the seepage risk assessment report in a short message mode.

The invention discloses a mine reclamation effect evaluation method based on a multi-temporal remote sensing image, and belongs to the field of mine reclamation effect evaluation, and the method comprises the steps: obtaining and preprocessing multi-source remote sensing data, and obtaining a standardized multi-temporal data set; performing image registration and radiation correction on the standardized multi-temporal data set to obtain a correction data set with consistent space and consistent radiation; constructing a multi-dimensional feature data set based on the correction data set, wherein the multi-dimensional feature data set comprises surface morphological features, vegetation health features, soil temperature features and underground water level change features; extracting a surface form feature vector according to the multi-dimensional feature data set, and generating a vegetation health distribution map, a soil temperature feature map and an underground water level change distribution map; and fusing the surface form feature vector, the vegetation health distribution map, the soil temperature feature map and the underground water level change distribution map, constructing a comprehensive index system, and outputting a mine reclamation effect evaluation result. According to the method, the accuracy and comprehensiveness of reclamation effect evaluation are remarkably improved.

An unmanned aerial vehicle (UAV) agent for forming a two-tier hybrid smart agriculture network architecture is provided. The UAV agent is configured to support two communication protocols, a short-range communication protocol and a long-range communication protocol. The agriculture sensor gathers agriculture data such as soil temperature and participates in a first-tier short range wireless communication network to send the collected data to at least one UAV agent. A UAV agent participates in one or more first-tier short-range communication networks to pick up sensor data from agriculture sensors in one or more clusters and also participates in a second-tier long-range communication network to route the collected sensor data to at least one cloud server. The tasks in both tier networks are formulated as optimization problems to achieve optimal data delivery and solved by using multi-agent reinforcement learning (MARL), which is implemented by the invented Focus Coordination Multi-Agent Deep Deterministic Policy Gradient (FC-MADDPG) algorithm.

The invention relates to the technical field of plant cultivation, and discloses a dynamic regulation and control method, system and device for a plant growth environment and a storage medium. Inputting the image data into a growth recognition model to obtain a growth stage and a growth state of the plant; according to the growth stage, obtaining a soil temperature and humidity optimal value of the plant growth environment by adopting a response surface method, and inputting the environment data into the temperature and humidity prediction model to obtain a soil temperature and humidity prediction value; and comparing the predicted soil temperature and humidity value with the optimal soil temperature and humidity value, and regulating and controlling the soil temperature and humidity of the plant growth environment according to a comparison result. According to the method, through refined environment management, temperature and humidity, illumination and pest control required by plant growth are dynamically regulated and controlled, global management and accurate regulation and control of the cultivation process are achieved, the intensification and intelligence level of the whole cultivation method is improved, and cost reduction and efficiency improvement of plant cultivation are achieved.

The invention relates to the technical field of agriculture, and discloses an intelligent fertilization technical measure and method for improving the fertilizer utilization rate, and the intelligent fertilization technical measure comprises a soil sensor module which is used for monitoring various parameters of soil in real time, including but not limited to soil nutrient content, soil humidity, soil acidity and alkalinity, soil temperature and soil texture; the soil sensor module can collect monitored parameter data with high precision and high frequency, and transmit the data to the central control unit through the wireless communication module; the fertilizer storage and conveying module is internally provided with a plurality of independent fertilizer storage bins, and each storage bin can store different types of fertilizers. According to the present invention, the type, the use amount and the application time of the fertilizer can be precisely controlled according to the growth requirements of different crops and the soil state through the precise fertilization mode so as to ensure the efficient absorption of the fertilizer by the crops, such that the fertilizer utilization rate is significantly improved, and compared with the traditional fertilization mode, the fertilizer waste can be reduced, and the agricultural production cost can be reduced.

The invention discloses a landscaping maintenance monitoring and early warning system, and belongs to the technical field of landscaping maintenance monitoring. Comprising a distributed sensor network, an edge computing processing unit, a cloud intelligent decision center and an intelligent execution terminal, the distributed sensing network comprises a soil sensor array which is deployed according to an elastic density grid and is used for dynamically adjusting the distance between sensors according to a plant value coefficient and monitoring the temperature, the humidity, the pH value and the ion concentration of soil in real time; and the autonomous mobile inspection robot carrying a multispectral imaging module executes dynamic path planning based on the abnormal probability thermodynamic diagram.

The invention provides a subsurface soil humidity inversion method and system based on a P-band radiometer, and the method comprises the steps: collecting observation data, carrying out the preprocessing of the observation data, and constructing initial parameters for a pre-configured dielectric hybrid model; calculating the relative dielectric constant of the soil and the soil emissivity of each incident angle; calling a pre-configured Chodhure module, and calculating to obtain the effective temperature of the soil; calculating by using a radiation transfer zero-order approximation model to obtain a simulated brightness temperature; the brightness temperature difference value between the original brightness temperature data and the simulated brightness temperature is calculated, a cost function is constructed, optimization parameters are obtained, and the weight of each angle in the cost function is dynamically adjusted and updated; and iteratively executing soil humidity inversion calculation to obtain an inverted soil humidity result. According to the method, the sensitivity to vegetation and surface roughness is reduced, and the soil humidity inversion precision is improved; and through dynamic weight adjustment and iterative optimization, the adaptability and flexibility of the model are ensured.

The invention discloses a straw returning deep scarification cultivation regulation and control method based on soil temperature and humidity, and particularly relates to the technical field of cultivation regulation and control. A plurality of soil temperature and humidity sensors and meteorological sensors are arranged in a field, soil temperature and humidity and meteorological environment data are collected in real time, preprocessing and feature extraction are carried out on the data, then a data prediction model is constructed to evaluate the accuracy of monitoring data, and if the accuracy of the monitoring data is high, the system directly adjusts the operation time and depth; if the accuracy is low, the data acquisition frequency is automatically increased by analyzing the severity of the deviation, so that the monitoring precision and the farming decision are optimized, farming errors caused by misjudgment of the soil humidity are effectively avoided, the farming effect and the crop yield are improved, and meanwhile, the soil quality is improved.

The invention discloses an alpine grassland no-tillage restoration suitability evaluation method based on a 3S technology, and particularly relates to the technical field of data processing. Through the combination of multi-temporal satellite images and global positioning system data, the spatial dynamic change of the frozen soil layer of the alpine grassland and the long-term influence of the spatial dynamic change on vegetation growth are accurately obtained, and a frozen soil layer depth and distribution dynamic monitoring model is constructed based on multi-source remote sensing data and historical weather and soil temperature and humidity data. Analyzing the influence of freezing and thawing alternation on plant root growth; establishing a vegetation recovery potential index and a soil moisture supply index by combining the vegetation coverage and the dynamic change of the frozen soil layer, and generating a suitability partition map through a GIS spatial analysis and analytic hierarchy process; through field sampling and long-term vegetation growth monitoring data verification and model optimization, the accuracy of no-tillage restoration suitability evaluation is remarkably improved, and scientific and accurate decision support is provided for ecological restoration of alpine grassland.

The invention discloses a precise fertilization method, system and device for a rice transplanter, and relates to the technical field of rice cultivation. Comprising the following steps: dividing a to-be-fertilized field into a plurality of sub-regions, analyzing the concentrations of nitrogen, phosphorus, potassium and organic matters, and taking an average value as the nutrient content of the field; the soil compactness is analyzed, and the nutrient penetration depth index is calculated in combination with environmental parameters such as soil temperature and humidity mean values; acquiring field salinity and alkalinity data, and calculating a soil nutrient effectiveness index in combination with the environmental parameters; correcting the fertilization longitudinal spacing and the fertilization depth according to the nutrient effectiveness index and the penetration depth index to obtain an accurate value; finally, the rice precise fertilization operation is completed through a rice transplanter according to the precise fertilization depth and the longitudinal distance. According to the method, soil nutrients and environmental parameters are dynamically combined, the fertilization precision is optimized, and the fertilizer utilization efficiency is improved.

The invention relates to the field of new-generation information technology and civil engineering, in particular to a frost heaving prevention technology of a roadbed in a seasonal frozen area, and particularly relates to a solar heating frost heaving prevention drainage roadbed in the seasonal frozen area and a construction method of the solar heating frost heaving prevention drainage roadbed. The method comprises the steps that environment sunlight data are obtained based on a solar heat collection device, heat energy is stored through an efficient heat storage material, and a heat energy output sequence is generated; acquiring soil temperature, humidity and frost heaving stress data from an environment sensor, predicting a frost heaving trend in combination with historical frost heaving characteristics, and generating regulation and control parameters; the heat energy output sequence and the frost heaving regulation and control parameters are input into a dynamic temperature control and drainage linkage module, heat distribution and optimization adjustment of a drainage path are carried out, and a linkage control strategy is generated; and performing feedback analysis on the operation condition of each module based on the data, and optimizing the control parameters of the dynamic temperature control and drainage linkage module. The temperature and humidity of the roadbed can be accurately adjusted, the frost heaving phenomenon is prevented, and roadbed drainage is optimized.

The invention discloses a tower grounding grid multi-frequency composite wave electric field imaging and soil environment medium diagnosis method, which comprises the following steps of: generating a composite excitation signal through superposition of a low-frequency sine wave and a high-frequency CHIRP square wave, and collecting multi-dimensional data such as voltage / current response, soil temperature and humidity, electric field intensity and the like in combination with a distributed sensor array; separating signal features by using wavelet transform and extracting impedance information of a target frequency point; a multi-grid homotopy algorithm is adopted to realize grounding grid three-dimensional resistivity distribution reconstruction, corrosion spots and abnormal areas are marked, and high-precision positioning of underground conductors is completed through UWB radar or a capacitance detector; meanwhile, based on the information entropy maximization optimization frequency band combination, the grounding grid state is comprehensively evaluated in combination with a multi-parameter fusion model. The method has the non-contact patrol capability, the unmanned aerial vehicle carries equipment to scan the grounding grid, the detection efficiency and convenience are remarkably improved, and an efficient and accurate solution is provided for guaranteeing safe operation of the power grid.

The invention discloses a rock-soil temperature field rapid solving method suitable for a ground source heat pump system, and the method comprises the steps: firstly building a three-dimensional unsteady-state heat transfer model in consideration of a buried pipe coaxial structure, a porous arrangement form and the characteristics of a multilayer heterogeneous soil body in the ground source heat pump system; then simulating a thermal response process by using the model, constructing a multi-domain coupled thermal conduction augmentation matrix, performing POD on the matrix, extracting a dominant mode function of a temperature field, and constructing a low-dimensional POD-based mode space; and finally, constructing a POD-Galerkin low-order model, simulating a buried pipe group soil temperature field, performing inversion of a heat source function, and outputting stratum thermophysical parameters. According to the method, the calculation efficiency and the simulation precision of the porous coupling and long-period unsteady state heat transfer process are remarkably improved, the problem that traditional finite element and finite difference methods are high in time consumption in porous strong coupling modeling is solved, and rapid prediction of the soil temperature and robust recognition of the heat source function under a complex stratum and a heat exchange structure can be achieved.

The invention provides a temperature control type anti-frost-heaving retaining wall structure and a design method thereof, and belongs to the technical field of infrastructure retaining engineering in cold regions, the temperature control type anti-frost-heaving retaining wall structure comprises a retaining wall body, a ground temperature energy conversion system and an intelligent control system, and the ground temperature energy conversion system is connected with the retaining wall body; the ground temperature energy conversion system is used for absorbing ground temperature energy, converting a gas-state heating medium from a low-pressure state into a high-pressure state, adjusting the flow of a liquid-state heating medium, reducing the pressure of the heating medium and dissipating the ground temperature energy into the retaining wall body, and the intelligent control system is electrically connected with the ground temperature energy conversion system; the controller is used for monitoring the temperature of filling soil on one side of the retaining wall body and controlling the ground temperature energy conversion system to operate according to the filling soil temperature so as to control the retaining wall body temperature and filling soil heat. The technical problems that the retaining wall frost heaving disease control difficulty is large, and the frost damage prevention and control effect is poor are solved, and the technical effects that the retaining wall and the filling temperature can be controlled, frost heaving disease control is easy, and the frost damage prevention and control effect is good are achieved.

The invention provides a temperature regulation and control system and method based on earthworm breeding environment temperature prediction, and relates to the technical field of temperature prediction, and the system comprises a data collection module which is used for continuously collecting soil temperatures at T historical moments at equal time intervals and environment parameters which affect the earthworm breeding soil temperature; the characteristic matrix construction module is used for constructing a characteristic matrix at the same moment, and the environment influence model construction module is used for obtaining a soil prediction temperature; the data analysis module is used for processing the soil characteristic parameters, generating a soil influence coefficient and calculating a suitable coefficient of the soil temperature; and the comprehensive evaluation module is used for integrating the suitability coefficient of the soil temperature and the soil influence coefficient to generate a comprehensive evaluation coefficient so as to evaluate the suitability degree of the soil temperature, and executing a corresponding temperature regulation and control mode according to the coefficient. The method can truly reflect the influence of the environment and soil characteristic change on the temperature, and significantly improves the temperature prediction precision of the earthworm breeding environment.

The invention discloses an ecological restoration area carbon sink increment real-time prediction method and system based on artificial intelligence, and the method comprises the following steps: multi-source data collection: obtaining a monthly vegetation coverage image through a satellite remote sensing platform, collecting the sensor data of soil temperature and humidity, air CO2 concentration and the like through a laid ground sensor network, and carrying out the real-time prediction of the carbon sink increment of an ecological restoration area; adopting an unmanned aerial vehicle laser radar to obtain vegetation canopy point cloud data according to a preset period, and collecting biomass actual measurement data of a restoration area in a historical preset age limit; preprocessing data, performing radiometric calibration, atmospheric correction and cutting splicing on a monthly vegetation coverage image acquired by a satellite remote sensing platform, and extracting a vegetation coverage and vegetation index time sequence; denoising, ground point separation and single tree canopy segmentation are carried out on vegetation canopy point cloud data acquired by the unmanned aerial vehicle laser radar, and the height and crown breadth of single plant vegetation are calculated. According to the invention, carbon sink increment prediction can be realized more accurately.

The invention discloses a buried pipe heat pump system optimization method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining soil temperature data of a current buried pipe heat pump system in an operation cycle; dynamically correcting the heat exchange capacity of the current buried pipe heat pump system according to the soil temperature data to obtain actual heat exchange capacity data; the buried pipe distribution of the current buried pipe heat pump system is optimized and adjusted based on the actual heat exchange capacity data until a target buried pipe layout scheme capable of meeting the real-time heat exchange requirement is obtained; real environment parameter support is provided for dynamically correcting the heat exchange capacity by obtaining soil temperature data of an operation cycle; actual heat exchange capacity data are obtained through correction, and the problem that traditional fixed value evaluation is inaccurate is solved; and then the distribution of the buried pipes is optimized on the basis of the actual heat exchange capacity, so that the layout is accurately matched with the real-time heat exchange requirement, and finally the heat exchange efficiency of the system and the dynamic adaptability to the real-time requirement are improved.

The invention relates to the technical field of soil remediation, and discloses a garden soil pollution remediation device which comprises a supporting seat, the top of the supporting seat is fixedly connected with a material tank, the inner wall of the supporting seat is fixedly connected with a motor, the top of the supporting seat is fixedly connected with a waste gas tank, a heating mechanism is arranged in the material tank, and a stirring mechanism is arranged in the material tank. A cleaning mechanism is arranged in the material tank, a heating rod and a heat conduction circular ring move up and down in a reciprocating mode, soil at different depths in the material tank can be heated, the soil in the material tank is evenly heated, the heating speed of the soil is increased, the soil temperature can be increased through soil heating, and therefore dissolving and releasing of some heavy metal in the soil are accelerated; the remediation efficiency of the device on the contaminated soil can be improved, and the soil remediation cost of the device can be saved through indirect outflow of the catalyst.

The invention discloses an accounting method for carbon sequestration and emission reduction of soil. The accounting method comprises the following steps: S1, acquiring the average soil temperature # imgabs0 # average soil humidity # imgabs1 # average soil acidity and alkalinity # imgabs2 # average soil microbe number # imgabs3 # average soil microbe activity # imgabs4 # average environment temperature # imgabs5 # average environment humidity # imgabs6 # S2 of selected type soil from a moment t to a moment t + delta t; inputting the average soil temperature # imgabs7 #, the average soil humidity # imgabs8 #, the average soil acidity and alkalinity # imgabs9 #, the average soil microbe number # imgabs10 #, the average soil microbe activity # imgabs11 #, the average environment temperature # imgabs12 #, the average environment humidity # imgabs13 # and the soil type of the selected type of soil into a trained soil carbon sequestration emission reduction amount accounting model; and obtaining the carbon sequestration amount and greenhouse gas emission reduction amount of the selected type of soil. The method can quickly and accurately reflect the actual carbon sequestration and emission reduction conditions of the soil.

The invention relates to the technical field of ground source heat pump operation control, in particular to an optimal adjustment method of a ground source heat pump system, which comprises the following steps: S1, collecting underground soil temperature and system heat load of the ground source heat pump system; s2, calculating a soil heat balance index based on the underground soil temperature; s3, according to the soil heat balance index and the system heat load, the optimized operation mode of the ground source heat pump system is judged; and S4, according to the optimized operation mode judged in the S3, the operation parameters of the ground source heat pump system are adjusted, and a corresponding execution mechanism is driven. According to the method, the operation mode is judged by introducing the soil heat balance index and combining the system heat load, meanwhile, the flow of the circulating water pump, the frequency of the compressor and the opening degree of the heat exchange valve are subjected to interval adjustment, and unification of energy efficiency optimization and long-term balance of the soil heat environment is achieved.

The invention belongs to the technical field of data transmission processing, and discloses a control system and method for intelligent agriculture multilayer soil temperature and humidity sampling. The system comprises a land data acquisition module, an updated data acquisition module, a data set preprocessing module, a soil humidity prediction module, a decision report generation module and a report transmission module, and is characterized in that a land data set is acquired, an updated data set is acquired, the land data set and the updated data set are preprocessed to obtain comprehensive feature data, and the comprehensive feature data are transmitted to the decision report generation module; analyzing the land data set, the update data set and the comprehensive feature data set to obtain a predicted humidity reference value, analyzing the predicted humidity reference value to obtain a soil decision report, processing the soil decision report, and outputting the processed soil decision report to a terminal. The method has the remarkable advantages of high accuracy of sampled soil data, strong auxiliary decision-making capability and good use economic effect.

The invention discloses a frozen soil temperature feature recognition algorithm and a moisture and electric field state prediction model, and the method comprises the steps: synchronously collecting temperature, moisture, resistivity and meteorological data through arranging a multi-depth sensor array, and constructing a multi-source data set with time-space alignment; utilizing continuous wavelet transform and cross-modal coherence analysis, and combining a hidden semi-Markov model to extract a depth-periodic characteristic profile; a time domain fusion Transform model embedded with physical constraints is adopted to realize frozen soil multi-parameter physical consistency prediction and uncertainty quantification; and finally, outputting a prediction result through a visual interface and setting an automatic alarm. The problem of cycle identification caused by weak and non-stable deep frozen soil signals is solved, the prediction accuracy and the physical rationality are remarkably improved, an end-to-end solution from data quality control to early warning is formed, and the reliability and the practicability of frozen soil engineering monitoring are greatly enhanced.

The utility model relates to the technical field of soil in-situ detection, and discloses a portable soil quality multi-parameter in-situ detection device. The device mainly comprises a controller, a connecting wire, an optical probe and a sensor. The controller is provided with a touch screen, a single-chip microcomputer circuit board, a single-chip microcomputer, an SD card, a key switch, a wireless communication control panel and a power source, and power source management, detection system control, real-time data processing, man-machine interaction, data storage and remote transmission can be achieved. The sensor comprises a soil temperature probe, a soil humidity probe, a soil conductivity probe and a soil pH probe, and can realize real-time data acquisition of soil temperature and humidity, conductivity and pH value; an annular lamp holder, a light source, a photoelectric sensor, a plano-convex lens, a light shielding plate, a light shielding boss and a light shielding ring are arranged in the optical probe, and rapid collection of soil organic matter spectrum information can be achieved. The soil in-situ detection device realizes synchronous acquisition of multiple parameters of soil, is reasonable in structural design and convenient to operate, and is suitable for popularization and application in the field of soil in-situ detection.

The invention belongs to the technical field of saline-alkali soil improvement, and relates to a coastal moderate-severe saline-alkali soil rain-fed dry-farming early-spring sesbania planting method which comprises the following steps: S1, deep rotation is performed on saline-alkali soil; s2, ridging, wherein ditching and ridging are conducted on the saline-alkali soil subjected to deep rotation; s3, punching holes in the ridge sides and forming water gathering pits arranged in a duckbilled shape, and then paving a mulching film on the water gathering pits; s4, holes are drilled in the side face of the water gathering pit in the vertical direction, a seeding channel is formed, then the sesbania seeds are sown into the seeding channel, the peripheries of the holes of the mulching film are covered with soil, a duckbilled structure is formed, and rainwater is guided by means of the mulching film to flow into the water gathering pit to be gathered; s5, forming a straw interlayer after the whole sesbania is returned to the field. Rainwater is gathered to the seeding channel through the mulching film, the amount of water capable of being absorbed by the sesbania seeds is increased, in addition, the mulching film can also achieve the effects of improving the soil temperature and preserving soil moisture, so that the sesbania can be planted in a rain-fed dry farming mode at the end of March, and the saline-alkali soil improvement period is shortened.

The invention discloses a fruit tree growth environment intelligent regulation and control system and method, and relates to the technical field of monitoring analysis, and the system comprises a temperature control module which comprises an air temperature control unit and a soil temperature control unit, and is used for carrying out the temperature regulation and control of the air temperature and soil temperature in a target region through a preset device according to a preset mode; the humidity regulation and control module is used for dynamically regulating and controlling the humidity in the target area; the energy recovery module is used for recovering heat energy released by the humidity regulation and control module when the dehumidification unit works, and the heat energy acts on the soil temperature control unit or the air temperature control unit through a heat exchange device; the sensor module is used for collecting corresponding environment data and fruit tree data in a target area in real time; and the control module is used for dynamically controlling the temperature control module, the humidity regulation and control module and the energy recovery module according to the corresponding environment data and fruit tree data in the target area output by the sensor module. The method has the effect of improving the regulation and control efficiency.

The application provides a kind of intelligent temperature-regulated planting field soil temperature control system and method, related to soil temperature control technical field, obtains seedling planting field regional information, extracts all soil temperature monitoring sub-block according to seedling planting field regional information;Obtain the block environment data of soil temperature monitoring sub-block, determine soil temperature stress factor according to block environment data, obtain all soil temperature stress risk areas in seedling planting field based on soil temperature stress factor;Obtain the temperature control resource information in seedling planting field, determine resource area mapping matrix through temperature control resource information, determine temperature control response strategy through resource area mapping matrix and soil temperature stress factor;According to the soil temperature regulation of each soil temperature stress risk area according to temperature control response strategy.This application can realize the risk analysis and resource optimization control of soil temperature, to improve the temperature regulation precision and regulation efficiency of nursery stock cultivation environment.

The invention provides a soil moisture content detection method based on unsteady heat conduction and optical fiber temperature measurement, which comprises the following steps: heating a soil body in a target measurement area based on an active heating method, and measuring the temperature value of the soil body at each moment under different radial distances from a heating source in the heating process; substituting the soil body temperature value at any moment in the heating process and the corresponding radial distance into a predetermined soil body moisture content relation model to obtain the soil body moisture content at the position corresponding to the radial distance from the heating source in the target measurement area at the corresponding moment; and determining the soil mass moisture content of the target measurement area according to the soil mass moisture content at each radial distance position from the heating source in the target measurement area at the corresponding moment. According to the method, the relationship between the soil moisture content and the soil temperature value is established, and in-situ monitoring and long-time monitoring of the large-range soil in the target measuring area are achieved through the soil temperature value obtained through the active heating method.

The invention discloses a method for restoring an alpine meadow engineering slope, and relates to the technical field of ecology. The method comprises the following steps: covering surface soil on a side slope of the alpine meadow to be repaired to form a slope surface; placing potentilla anserine seeds on the slope surface; shading and watering. An indigenous species potentilla anserine is used as a grass seed for ecological restoration of the alpine meadow side slope, and the potentilla anserine can adapt to a severe environment with low temperature and barren soil, is high in growth speed and can quickly improve the vegetation coverage of the slope surface; the potentilla anserine can maintain the diversity of local alpine meadow biocenosis and prevent alien species from invading; sunshade not only can prevent sunlight from directly irradiating the soil, reduce the soil temperature of the surface soil of the side slope of the alpine meadow and maintain the soil moisture, but also can reduce the loss of the surface soil and the potentilla anserine seeds in the'vacuum period 'of vegetation protection. By means of the method, the slope vegetation in the alpine meadow area can be rapidly restored, and the obvious effect on ecological restoration of the slope in the alpine meadow area is achieved.

The invention discloses a dynamic prediction method for a deformation joint of an underground comprehensive pipe gallery. The method comprises the following steps: S1, collecting and fusing multi-source monitoring data; s2, data preprocessing and feature engineering; s3, constructing a dynamic prediction model; s4, dynamic prediction and performance evaluation; s5, early warning and decision support are carried out, in the step S1, temperature field data including the air temperature in the pipe gallery, the concrete temperature (inner and outer surfaces) of the pipe gallery structure and the soil temperature outside the pipe gallery are acquired, and the measuring range ranges from-40 DEG C to 80 DEG C; according to the method, a multi-source monitoring data acquisition and dynamic prediction model system is established, continuous monitoring and trend prediction of the deformation joint of the underground comprehensive pipe gallery are achieved, multi-dimensional data such as the temperature field, the soil pressure and the underground water level are integrated, time sequence analysis is combined, and the deformation joint of the underground comprehensive pipe gallery is obtained. The development rule of the deformation joint can be accurately captured, and a prospective evaluation basis is provided for the safety of a pipe gallery structure.