149results about "Detection/prospecting using thermal methods" patented technology

The invention provides a wireless signal and thermal imaging multi-modal cooperative detection and directional interference method and system, and relates to the technical field of electronic countermeasures, and the method comprises the steps: carrying out the time domain synchronization and spatial domain registration of wireless signal data and infrared thermal imaging data, constructing a multi-modal feature fusion network, and carrying out the wireless signal and thermal imaging multi-modal cooperative detection and directional interference. And an attention mechanism and a recurrent neural network are adopted to extract time sequence features of the target, and position coordinates, motion states and behavior pattern information of the target are output. And then, based on a target state evaluation model and a reinforcement learning algorithm, an intelligent interference strategy is designed, and an interference beam is dynamically adjusted through an adaptive beam forming technology, so that accurate directional interference on the target is finally realized. The target detection precision and the interference efficiency can be effectively improved, the false alarm rate is reduced, and the target identification and interference capability in a complex environment is enhanced.

The invention provides a room obstacle detection optimization method and system based on a cross-modal attention mechanism. Wherein a dynamic compensation coefficient is calculated by acquiring motion track data of the mobile equipment, and a stable visual coordinate system is constructed. Visible light and near-infrared wave band acquisition of the multispectral sensor is synchronously triggered, the visible light captures geometric deformation characteristics of a floor projection surface, and the near-infrared detects a local heat radiation abnormal area. And extracting a thermal feature connected domain conforming to periodic biological motion as a living obstacle, and marking a collision risk boundary of a static obstacle. And based on a living body motion law and a collision boundary deviation trend, synchronously optimizing the dual-band exposure parameters and updating the trajectory prediction model, and forming a closed-loop feedback link of sensing and planning. According to the technical scheme provided by the invention, the living body and the static obstacle are accurately distinguished in a dynamic environment, and the sensor parameters are adaptively adjusted to improve the real-time obstacle avoidance response capability.

A heat source inversion-based tunnel high-temperature heat hazard advanced geological detection method and system. The method comprises: by means of multi-view joint observation of "rock wall and drilling", extracting two kinds of collected temperature data to form a new sequence, carrying out inversion interpretation on the sequence, constructing a least square-based three-dimensional heat source inversion objective function and an inversion equation, and solving for the inversion equation; and on the basis of a solution result, forming a heat source and temperature field imaging result graph of high-temperature heat hazard detection within a detection area range. The present invention achieves effective positioning and capturing of a high-temperature heat source, high-temperature heat hazard level division and heat hazard risk evaluation, and provides a reference basis for determining a tunnel design and construction scheme.

The invention discloses a dam termite cave positioning method based on transient electromagnetism carried by an unmanned aerial vehicle. The method comprises the following steps: constructing an unmanned aerial vehicle transient electromagnetic detection system; preprocessing the received secondary induction electromagnetic field signal, and obtaining a comprehensive electromagnetic signal according to the response difference of the multi-frequency signal; inputting the integrated electromagnetic signals into a pre-trained deep learning neural network model, identifying characteristic signals related to termite acupoints in the integrated electromagnetic signals, and outputting position coordinates of suspected termite acupoints; a dam surface thermal imaging image obtained by a thermal imaging module is combined for secondary verification, and termite cave position information is transmitted to a ground control terminal in real time through a communication module carried by the unmanned aerial vehicle. According to the invention, efficient, accurate and lossless positioning of the termite cave of the dam is realized, underground electromagnetic signals and surface heat distribution information of the dam are rapidly obtained, and accurate termite cave position coordinates are output.

The present disclosure provides a method for measuring flow velocity of multilayer groundwater using distributed optical fiber with point-source active heating, comprising: setting and optimizing field test parameters; conducting a background temperature monitoring test; performing a point-source active heating distributed temperature measurement test, including conducting multiple rounds of heating tests; denoising the obtained multi-point source thermal plume attenuation signal data of the groundwater; searching for the peak value of temperature-permeability curve based on an automatic multi-scale peak search algorithm; performing secondary processing on the peak data; estimating the groundwater flow velocity. The method of the present disclosure solves the problem that the existing groundwater flow velocity measurement technology cannot simultaneously measure multiple points and multiple layers, and it can avoid groundwater contamination during the measurement process.

The invention discloses a lithosphere thermal structure analysis method, device and equipment and a storage medium, and relates to the technical field of geothermal energy analys.The method comprises the steps that rock information of a current area is obtained, a current lithosphere model is constructed, and the current lithosphere model is composed of a plurality of layers of lithologic units; according to the rock information and a preset temperature change rule, determining a surface earth heat flow value and a lithosphere bottom boundary position corresponding to the current lithosphere model; according to the rock information, determining a hierarchical heat flow value corresponding to each lithologic unit located above the bottom boundary position of the lithosphere, and obtaining a lithosphere heat flow value according to each hierarchical heat flow value; and determining a heat flow ratio parameter as a lithosphere thermal structure analysis result of the current area by combining the earth surface heat flow value and the lithosphere heat flow value. According to the method, the heat flow ratio parameter is obtained by performing layered modeling on the lithosphere, so that accurate quantification of the lithosphere thermal structure is realized from the aspects of heat source properties and a heat transfer mechanism, and the reliability of an analysis result is improved.

The invention provides a tubular heat exchanger blockage online diagnosis method and a tubular heat exchanger. The tubular heat exchanger blockage online diagnosis method comprises the following steps: constructing a C factor based on a resistance coefficient and a heat transfer coefficient of the tubular heat exchanger; and performing online diagnosis on the blockage degree of the tubular heat exchanger by detecting the change trend of the C factor. According to the technical scheme, the C factor is constructed based on the resistance coefficient and the heat transfer coefficient of the tubular heat exchanger; performing online diagnosis on the blockage degree of the tubular heat exchanger by detecting the change trend of the C factor; by constructing the C factor reflecting the blockage degree of the heat exchanger, a diagnosis basis is provided for whether the tubular heat exchanger is blocked or not.

The invention relates to the technical field of oil-gas exploration, in particular to a hydrocarbon generation potential evaluation method for marine hydrocarbon source rocks. On the basis of determining terrestrial source and sea source organic matter proportions of marine facies hydrocarbon source rocks in different sedimentary areas, marine facies hydrocarbon source rock thermal simulation experiments of different terrestrial source / sea source organic matter proportions are carried out, and gaseous hydrocarbon yields of the marine facies hydrocarbon source rocks of different terrestrial source / sea source organic matter proportions and isotope characteristics and activation energy of gaseous hydrocarbons of different maturity degrees are determined; according to generation, storage and cover layer parameters of a research area, selecting a suitable model and giving suitable parameter values, performing numerical simulation on hydrocarbon source rocks with different terrestrial / sea source organic matter proportions, and finally quantitatively determining hydrocarbon generation potential of hydrocarbon source rocks with different sedimentary areas and different terrestrial / sea source organic matter proportions in the research area by combining burial-thermal history evolution of the research area. And obtaining a hydrocarbon generation and expulsion period and a charging process, and determining a main reservoir forming period. Compared with the prior art, the hydrocarbon generation potential evaluation accuracy of the marine hydrocarbon source rock can be greatly improved.

Methods and systems are disclosed. The method may include obtaining a first plurality of hydrocarbon source rock samples from a first well and a second plurality of hydrocarbon source rock samples from a second well, each well penetrating a portion of a subterranean region. For each of the first and second plurality of samples obtaining a set of kinetic parameter values, including a discrete distribution of activation energy and a common frequency factor and determining a weighted average activation energy value from the distribution. The method may further include identifying a first chemostratigraphic segment of the first well and a second chemostratigraphic segment of the second well, each based on the weighted average activation values; determining a correlated stratigraphic unit and mapping organofacies based on the first the second chemostratigraphic segments; and predicting hydrocarbon generation, retention and expulsion and determining a drilling target within the correlated stratigraphic unit.

Systems and methods for performing targeted stimulation of a well drilled in a subsurface formation include performing a dynamic well test in the well; logging the well to generate one or more diagnostic well logs prior to stimulating the subsurface formation; identifying one or more zones in the well for targeted stimulation based on the injection test and the one or more diagnostic well logs; and performing the targeted stimulation at the identified one or more zones.

The invention relates to the technical field of coal seam earth surface gas guide crack recognition, and discloses a shallow coal seam earth surface gas guide crack recognition method based on infrared thermal imaging, which comprises the following steps: step 1, data acquisition: (1) equipment preparation and field preparation are carried out, and thermal imaging data acquisition is carried out on the shallow coal seam earth surface by adopting an infrared thermal imager after the preparation is completed; (2) in the acquisition process, performing comprehensive scanning on the target area according to a preset latticed or strip-shaped path to obtain a high-resolution infrared thermal image sequence, and recording position information and corresponding time information of each acquisition point; according to the shallow coal seam surface gas guide crack identification method based on infrared thermal imaging, (1) by using the characteristics of non-contact, rapidness, no illumination limitation and the like of the infrared thermal imaging technology, the temperature information of the large-area shallow coal seam surface can be efficiently obtained, the crack identification efficiency is greatly improved, and the labor intensity of workers and the risk of field exploration are reduced;

The invention relates to a rodent monitoring system which comprises a first sensor unit, a second sensor unit, a master control edge computing unit and a cloud server. The infrared sensor and the pressure sensor are in signal connection with the main control edge calculation module, and the cloud server is configured to be used for receiving the image information, the weight information and the body length information in real time. The rodent information can be monitored in real time, dynamic information such as types, distribution and quantity of rodents in a monitored target area can be remotely mastered, the rodent monitoring system has the advantages of being unattended, reducing manual investigation cost, achieving all-weather monitoring and the like, and the growth conditions of the rodents in part of areas can be analyzed more accurately.

The present invention relates to systems and methods for developing and characterizing geothermal well systems. Data, collected from a survey area is used to generate a 3D geologic model and a temperature distribution model of a subsurface region in the survey area. Using the 3D geologic model and the temperature distribution model, a vertical observation well is drilled to a specified depth, facilitating further collection of data from the survey area and improvement of the 3D geologic model and the temperature distribution model.

The invention discloses an infrared motion fuzzy target recognition method based on a temperature feature sequence, and particularly relates to the technical field of infrared target recognition, the temperature feature sequence is taken as a core, features are distinguished by researching the real position of a target and the temperature feature sequence of a fuzzy region, and target and background interference is detected by using a Yolov5 network. A temperature feature sequence is extracted by using a temperature field model, a projection area model and a triangular surface element analysis method, a temperature feature sequence model of a target and a background is established, and target and background interference is discriminated by using an improved LSTM network, so that separation of the target and the background is realized, and high-precision positioning of a fuzzy target is realized.

The present invention relates to a method, system and device for calculating the angular unconformity denudation thickness of a sedimentary basin, the method comprising obtaining N samples; testing the N samples with fluid inclusion homogenization temperature to obtain N fluid inclusion temperature data and surface temperature; calculating the N fluid inclusion temperature data and surface temperature with fluid inclusion pressure to obtain N pressure data and surface pressure; correcting the homogenization temperature of the N fluid inclusion temperature data and the N pressure data with layer-by-layer projection and linear fitting to obtain temperature gradient correction data and pressure gradient correction data; and calculating the denudation thickness of each sample in the sedimentary basin with an erosion thickness calculation formula. The method obtains the denudation thickness of each sample in the sedimentary basin with the temperature gradient correction data or the pressure gradient correction data, thereby obtaining the vertical denudation thickness of the underlying strata of the corrected angular unconformity.

The invention provides an infrared small target detection method and device, equipment, a medium and a program product, and the method comprises the steps: carrying out the time domain enhancement of a current frame image according to the change of a current frame and a continuous reference frame in a time domain, obtaining a self-adaptive threshold value, segmenting the current frame image through the self-adaptive threshold value, and recognizing an infrared small target. Small target enhancement is carried out by introducing time domain information, false alarm caused by random noise influence is avoided, background and interferents can be inhibited, and infrared small target detection accuracy is improved. In addition, the method has little dependence on parameter adjustment and is high in robustness and adaptability.

The present invention relates to systems and methods for developing and characterizing geothermal well systems. Data collected from a survey area is used to generate a 3D geologic model and a temperature distribution model of a subsurface region in the survey area. Using the 3D geologic model and the temperature distribution model, a vertical observation well is drilled to a specified depth, facilitating further collection of data from the survey area and improvement of the 3D geologic model and the temperature distribution model.

This invention provides a method and apparatus for detecting termite nests in earthen embankments. The method involves mounting a high-definition camera and / or an infrared thermal imager and / or an infrared gas imager and / or a plant spectrometer on a drone. The high-definition camera captures images of the embankment surface and its surroundings. An AI model trained using artificial intelligence training methods identifies natural phenomena in the high-definition images that reflect the living habits of termites. The infrared thermal imager utilizes the temperature difference between the inside of the termite nest and the surface of the embankment to locate anomalies in the embankment surface temperature. The infrared gas imager detects the CO2 distribution on the embankment surface to identify areas with abnormal carbon dioxide levels. The plant spectrometer searches for changes in the spectral composition of plants on the embankment surface to locate possible fungi growing above termite nests. By mounting two, three, or four of these devices on the drone, the same area is scanned simultaneously using multiple devices to screen for abnormal areas and determine the termite nest area. This is then combined with manual and physical detection methods to pinpoint the termite nest.

The invention relates to the field of resource optimization and utilization, and discloses a geothermal energy resource optimization and utilization prediction method based on geothermal energy resource exploration data, which is used for solving the problem of geothermal energy reserve estimation deviation caused by inaccurate wellhead measurement data during geothermal energy resource optimization and utilization prediction. The method comprises the following steps: calculating initial geothermal reserves according to survey data, correcting the initial geothermal reserves to obtain actual geothermal reserves, classifying geothermal resources according to the actual geothermal reserves, utilizing and distributing, monitoring wellhead flow data of an acquisition well, calculating to obtain a flash evaporation generation index, and judging whether flash evaporation occurs according to the flash evaporation generation index. If it is judged that flash evaporation occurs currently, the wellhead flow data are corrected according to the flash evaporation occurrence index to obtain wellhead actual flow data, geothermal resource dynamic management is conducted according to the wellhead actual flow data, the accuracy of wellhead measurement data is effectively improved, and the accuracy of resource optimization utilization prediction is improved.

The invention provides a mountain fire monitoring method and system based on laser radar and thermal infrared. The method comprises the following steps: combining three-dimensional point cloud data with thermal radiation distribution data to generate a target fire diffusion path; an embedded real-time processing chip deployed in the detection unmanned aerial vehicle is utilized to perform real-time processing on the thermal radiation distribution data, a temperature abnormal area is identified, an interference area is removed, and a fire point position and a classification result are generated; and based on the target fire behavior diffusion path, the fire point position and the classification result, a dynamic scheduling instruction is sent to the fire extinguishing unmanned aerial vehicle cluster through a low-delay communication link so as to adjust the fire extinguishing agent throwing position, the fire extinguishing dosage and the coverage range of each fire extinguishing unmanned aerial vehicle in the fire extinguishing unmanned aerial vehicle cluster. According to the method, the three-dimensional point cloud and thermal radiation data of the forest fire area are collected in real time, the fire diffusion path is predicted in combination with an intelligent algorithm, and the fire extinguishing unmanned aerial vehicle cluster is dynamically scheduled, so that accurate positioning, interference filtering and optimal space distribution of fire extinguishing resources can be realized.

The invention discloses a marking method and system for a geothermal abnormal target area, and the method comprises the steps: generating a surface temperature distribution diagram according to the remote sensing thermal infrared data of a target area, and marking a first-stage geothermal abnormal target area; a temperature measurement network is arranged in the first-stage geothermal abnormal target area, ground temperature measurement data are collected, and a shallow ground temperature distribution diagram is generated; marking a secondary geothermal abnormal target area by combining the shallow ground temperature distribution diagram and the ground surface temperature distribution diagram; and obtaining geothermal information of the second-stage geothermal abnormal target area, marking a drilling position according to the geothermal information, drilling the drilling position, collecting deep geological data, and inputting the deep geological data into a pre-trained geothermal geological model to obtain a target geothermal abnormal target area output by the geothermal geological model. According to the method, through comprehensive analysis and processing of multiple data, the accuracy and reliability of marking of the geothermal abnormal target area are improved.

The invention belongs to the technical field of geothermal detection, and particularly relates to a geothermal detection device for medium-deep geothermal holes, which comprises a mounting frame, a control cabinet is fixedly connected to the upper side wall of the mounting frame, and a screw rod driving mechanism is fixedly connected to the upper side wall of the mounting frame. When the detection assembly is used for detecting the middle-deep layer geothermal energy, the geothermal energy can be automatically detected while the drill bit drills holes, the drill bit does not need to stop running, and then the geothermal energy is detected, so that the time for frequently starting, retracting and releasing the geothermal detection head is saved, the detection work efficiency is guaranteed, and the detection efficiency is improved. And when the drill bit assembly is used for a long time, the main cutting edge on the surface is abraded, and the working performance of the drill bit assembly is affected, the standby cutting edge can be automatically moved to the set position to assist the main cutting edge in drilling work, and the drill bit assembly does not need to be taken out from the deep underground position immediately.

The invention relates to a railway yard foreign matter intrusion detection system and method based on infrared thermal imaging. The system comprises an intelligent scheduling system which is used for obtaining route information matched with an operation task under the condition that the railway yard has the operation task; the intelligent vehicle-mounted system is used for detecting a locomotive position matched with the route information; the foreign matter detection system is used for determining a driving front limit area of the locomotive based on the route information and the position of the locomotive and acquiring an infrared thermal imaging image corresponding to the driving front limit area; and sending alarm information to an intelligent vehicle-mounted system under the condition of determining that foreign matters exist in the driving front limit area based on the infrared thermal imaging image, so that the intelligent vehicle-mounted system controls the state of the locomotive based on the alarm information. By adopting the system provided by the invention, the foreign matter detection accuracy of the railway yard can be improved.

The invention relates to a human body detection device, and the device comprises a power supply module which is provided with an external power supply connection unit which is used for connecting an external power supply which is separated from the detection device; the control module is provided with a second voltage division circuit and is electrically connected with the power supply module; the control module can be used for sampling electrical parameters output to a target power supply node of the detection device by a light energy power supply through the second voltage division circuit when the light energy power supply is used as an external power supply and is electrically connected with the detection device through a connecting port of an external power supply connecting unit; wherein the light energy power supply does not have an independent communication function and comprises an energy storage component for storing energy; wherein the control module is further configured to send the electric quantity of the light energy power supply to a far-end server through the communication module under a preset reporting rule, so that the energy storage information of the light energy power supply is reported by the detection device in a proxy manner under the condition that the light energy power supply does not have the communication capability.

The application provides a tunnel high-temperature heat disaster advanced geological detection method and system based on heat source inversion, and the application uses "rock wall + borehole" multi-view combined observation to extract two kinds of collected temperature data to form a new sequence, carries out inversion interpretation on the sequence, constructs a three-dimensional heat source inversion target function and an inversion equation based on least square, and solves the inversion equation; forms a heat source and temperature field imaging result map of high-temperature heat disaster detection in a survey area range according to the solving result, realizes effective positioning and capturing of high-temperature heat sources, divides high-temperature heat disaster grades, evaluates heat disaster risk, and provides a reference basis for determination of a tunnel design and a construction scheme.

Provided is a method for identifying and monitoring a water-conducting path of a water inrush source based on a similarity simulation test. The method includes: collecting mining area data, determining lithology and a laying thickness of each rock stratum in a mining area, and performing similar material proportioning for the determined lithology of each rock stratum; and using an exothermic material as a layered material for the similarity simulation test. According to the method for identifying and monitoring a water-conducting path of a water inrush source based on a similarity simulation test, the exothermic material is used in the similarity simulation test, to enhance a temperature response capability of various rock strata in a test environment. Subtle temperature changes in the rock strata can be reflected more accurately in a water inrush process, and therefore, monitoring precision is improved.

The invention discloses a method for detecting and measuring the distance of a person in front of an underground unmanned electric locomotive. The method comprises the following steps of: S1, synchronizing data time; s2, performing camera external parameter calibration through a multi-modal calibration device; s3, generating multi-modal data; s4, performing personnel detection on the multi-modal data; s5, track area segmentation; and S6, determining a longitudinal distance and a transverse distance. According to the method, the track line region can be segmented more accurately by fusing visible light and thermal imaging image information, so that the accuracy of distance measurement is improved. Through remote transmission of visible light and thermal imaging images and distance measurement data, a manager can know the condition in front of the unmanned electric locomotive in real time in a ground monitoring center and handle abnormal conditions in time, remote monitoring and management of underground operation are achieved, and the workload and risk of manual inspection are reduced.

The invention provides a water flowing fractured zone detection device and method, and the device comprises a water pipe which is provided with a water inlet section and a water outlet section which are sequentially arranged, and the water outlet section is used for injecting water into a detection hole in a rock stratum; the bag is arranged on the periphery of the water pipe in a sleeving manner, and the radial size of the bag is variable, so that the bag can be attached to the inner wall of the detection hole to block the detection hole; the adjusting pipe is communicated with the bag, and the adjusting pipe is used for injecting a medium into the bag so as to change the radial size of the bag; the test section is provided with a plurality of temperature measuring points at intervals along the length direction of the temperature sensing optical fiber, and the temperature sensing optical fiber can detect the temperature in the detection hole; the host is electrically connected with the temperature sensing optical fiber, and the host can receive detection data of the multiple temperature measuring points and calculate the height of the water flowing fractured zone according to the detection data. According to the technical scheme provided by the invention, the problems of complex structure and tedious detection operation of the height detection device for the water-flowing fractured zone in the prior art can be solved.

The invention provides a structure for detecting foreign matters of wireless charging equipment, and the structure detects whether metal foreign matters exist in ground primary side equipment and a power receiving end at the bottom of a vehicle through two groups of flexible temperature sensors, thereby guaranteeing the reliable operation of a wireless charging process. The ground upper cover assembly comprises ground primary side equipment, a first flexible circuit board is arranged in the ground primary side equipment, a plurality of flexible temperature sensors are arranged on the first flexible circuit board in an array mode, and the flexible temperature sensors arranged in the array mode are used for monitoring temperature parameters in a surface area corresponding to the ground upper cover assembly; the power receiving end is internally provided with a second flexible circuit board, a plurality of flexible temperature sensors are arranged on the second flexible circuit board, and the flexible temperature sensors arranged in an array are used for monitoring temperature parameters in a surface area corresponding to the coil panel bottom plate; and in a wireless charging working state, the coil panel bottom plate of the power receiving end is arranged right above the ground upper cover assembly of the ground primary side equipment.

Embodiments described herein provide a thermal flux apparatus, forming a distributed temperature measurement system and comprising a plurality of temperature probe modules, each temperature probe modu