73results about "Detection/prospecting using thermal methods" patented technology

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.

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 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 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 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.

Disclosed are systems and methods that employ distributed fiber optic sensing (DFOS) / distributed temperature sensing (DTS) to measure / monitor soil moisture and seepage at sub-meter spatial resolution over a large geographic area. In sharp contrast to the prior art which generally employed many, point soil moisture sensors, systems and methods according to aspects of the present disclosure employ DTS with an fiber optic sensor that advantageously senses soil temperature at sub-meter spatial resolution continuously. From these continuous, wide areas, high resolution DTS measurements, soil moisture and seepage determinations of soil in which the fiber optic sensor contacts are made.

The invention relates to the technical field of non-linear node detectors, and particularly discloses an infrared imaging type non-linear node detector, which comprises a tripod, two turnover rods, a turnover disc and a first worm gear, and is characterized in that the two turnover rods are rotatably arranged at the top ends of the front and rear sides of the tripod through bearings respectively; the overturning rod located on the front side rotatably extends out of the front side of the tripod, the middles of the front side and the rear side of the overturning disc are arranged at the inner ends of the two overturning rods respectively, and the first worm gear is connected to the outer wall of the overturning rod located on the front side in a sleeving mode and locked through a jackscrew. The device not only realizes sensitive detection of hidden electronic equipment, but also solves the fundamental defect that target depth information cannot be obtained in the prior art, is simple in structure, intuitive in operation and accurate in positioning, remarkably improves the searching efficiency and positioning reliability in practical applications such as security check and anti-theft, and is suitable for popularization and application. And the method is an important improvement on the functions of the existing nonlinear node detector.

The invention provides a human body detection device, which comprises a detection main body and an adjusting bracket, and is characterized in that the adjusting bracket comprises a first adjusting part and a second adjusting part; the first adjusting piece comprises a first connecting part, the second adjusting piece comprises a second connecting part, the second connecting part is rotationally connected to the first connecting part, a rotating shaft, rotating relative to the first connecting part, of the second connecting part is a second rotating shaft, and the second rotating shaft is a horizontal shaft; the first connecting part protrudes out of the side face of the detection body, the second connecting part is located on the side portion of the second adjusting piece, the bottom plane of the detection body serves as a projection plane, the second rotating shaft vertically projects on the projection plane to form a first projection pattern, and the first projection pattern is located outside the bottom face of the detection body. And the second adjusting piece can rotate from the bottom of the detection main body to the side part of the detection main body. The human body detection device provided by the invention is mounted on a horizontal mounted surface and a vertical mounted surface and does not occupy additional mounting space.

The invention discloses a foreign matter detection device for wireless charging, which ensures the accuracy of information acquisition and reduces the false alarm probability of a wireless charging transmitting end. The flexible circuit board comprises a flexible circuit board body; a plurality of temperature flexible sensors; a plurality of pressure flexible sensors; a plurality of temperature flexible sensors and a plurality of pressure flexible sensors are integrated in a surface region of the flexible circuit board body, a plurality of flexible transmission lines are arranged in the flexible circuit board body, and the flexible circuit board body is further provided with a signal collection end. The signal collection end is used for transmitting signals monitored by the temperature flexible sensor and the pressure flexible sensor to an external signal processing module through an external or internal communication module, and the signal processing module carries out feedback processing according to received temperature signals and pressure signals.

The embodiment of the present application discloses a river inspection method based on infrared and visible light intelligent identification, which comprises: sending a sensing measurement process establishment request message to an infrared thermal imaging monitoring terminal by a visible light monitoring terminal; after receiving the sensing measurement process establishment request message, the infrared thermal imaging monitoring terminal sends a sensing measurement process establishment response message to the visible light monitoring terminal to establish a sensing measurement process; after the sensing measurement process is successfully established, the visible light monitoring terminal and the infrared thermal imaging monitoring terminal execute the sensing measurement process according to the sensing measurement configuration parameters negotiated by both parties to form a measurement report; the measurement report is sent to a monitoring management platform; the monitoring management platform obtains a sensing result according to the measurement report, which is used to judge whether a person entering the monitoring area is detected. The river inspection method based on infrared and visible light intelligent identification can realize real-time inspection of each area of the river.

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 detection system comprises a visible light sensor, an infrared light sensor and a processing program circuit. The visible light sensor is used for sensing visible light. The infrared light sensor is used for sensing infrared light. The processing program circuit is used for judging whether the parameter of the visible light sensor is larger than a threshold value or not, and if the parameter of the visible light sensor is larger than the threshold value, the processing program circuit executes human body existence detection according to the infrared light sensed by the infrared light sensor and generates a human body existence detection result.

The invention discloses a trace detection method and device for trace elements in metro leakage water, and relates to the technical field of metro leakage detection.The method comprises the steps that the stratum structure, the underground water burial depth and background water quality parameters of a target area are obtained, and a set number of leakage suspicious areas are delineated in combination with a tunnel design drawing; and selecting rare earth elements of which the background concentration is less than a set concentration threshold and a fluorescent compound to form a tracer agent. The rare earth elements are combined with the fluorescent compound to realize full-dimensional coverage of deep and shallow layers, and the problem of leak detection of hidden leakage in a traditional single method is solved. Through technology fusion of dual-mode tracing, three-dimensional monitoring and intelligent modeling, comprehensive breakthrough in detection depth, precision, efficiency and risk early warning capability is realized, and a systematic solution is provided for accurate prevention and control of subway deep leakage under complex geological conditions.

The present application provides a kind of geothermal energy prediction method based on multi-source data, it is related to geothermal energy exploration technical field, the present application is by in target area according to preset grid scale carries out regular grid division, and with grid center point synchronous acquisition ground temperature observation value and ground heat flow observation value, utilize minimum-maximum normalization method to standardize multi-source observation data, construct two-dimensional feature vector reflecting geothermal characteristic state, realized the fusion and space standardization processing of multi-source data, based on the feature vector difference of non-boundary grid in grid array, adopt the automatic calculation of spatial feature gradient using Euclidean distance criterion to determine edge recognition threshold, filter spatial mutation area as edge candidate point, and further combined with spatial eight connectivity analysis, remove isolated distribution edge candidate point, obtain spatial continuous and physically reasonable boundary point set, using region growing algorithm to expand geothermal distribution area realizes the recursive generation of geothermal distribution area.

The invention relates to a vehicle cabin safety monitoring method. The method comprises the following steps: S1, acquiring an image in a vehicle cabin; s2, judging whether a target object exists in the vehicle cabin or not according to the image, wherein the target object is an object with potential safety hazards and / or a life entity with potential safety hazard exposure risks; s3, detecting the temperature and / or solar radiation intensity in the vehicle cabin under the condition of determining that the target object exists in the vehicle cabin; and S4, when the temperature and / or the solar radiation intensity in the vehicle cabin exceed / exceeds a preset value, giving an alarm to a vehicle user outside the vehicle. Therefore, the safety risk of the vehicle cabin can be predicted in advance, and the vehicle user can be reminded in time, so that safety accidents can be avoided. An automatic emergency alarm can also be set to deal with the untimely response of the vehicle user to the alarm.

The invention relates to a human body sensing method, a control terminal and a human body sensing device.The method comprises the steps that whether an infrared sensing module is triggered or not is judged, and whether it is sensed that a person passes through a human body large-amplitude movement area or not is judged; when it is judged that the person passes through the human body large-amplitude movement area, a microwave induction module is controlled to work, and whether the microwave induction module is triggered to sense the person within first set time or not is judged; when the microwave sensing module is triggered, it is judged that someone enters the room, and the microwave sensing module is controlled to stop running; when the microwave sensing module is not triggered, it is judged that all people leave the room, and the microwave sensing module is controlled to stop running. According to the invention, the defect that a microwave sensing module easily causes false alarm can be solved.

The invention discloses an ecological intelligent capturing method and system based on sound and infrared multi-mode cooperation, and belongs to the technical field of ecological monitoring and intelligent sensing, and the method comprises the steps: collecting an original environment sound signal, carrying out the preprocessing of the original environment sound signal, carrying out the semantic recognition of the preprocessed original environment sound signal, and obtaining a semantic recognition result; semantic tags and sound source direction information are obtained; according to the sound source direction information, infrared scanning is carried out on the corresponding direction area, and infrared features of a heat source in the scanning area are extracted; performing feature matching on the infrared features and semantic tags, outputting a target type, and generating adaptive imaging parameters based on the target type; shooting is carried out according to the self-adaptive imaging parameters, event capturing is completed, and the low-power-consumption standby state is returned. According to the method, the problems of high false triggering rate, low effective data proportion, short endurance time and poor scene adaptability in the prior art are solved, the transmission efficiency, the positioning accuracy and the adaptability are improved, and the false alarm rate is reduced.

The heat treatment unit (1) comprises an enclosure (4) within which the preforms (2) pass along a predefined path (T) and at least one emitting wall (6) comprising at least one electromagnetic radiation-emitting element, said enclosure (4) being at least partially closed by a shroud (16). The heat treatment unit comprises at least one safety system including an image acquisition device (24) disposed outside the shroud (16) and an image processing device (26), the acquired images being capable of showing radiation emitted outside the shroud (16), the processing device (26) being configured to identify the presence of radiation leakage outside the enclosure (4) if an image acquired by said image acquisition device (24) shows radiation.

The application discloses a kind of carbon dioxide saturation monitoring device and method based on optical fiber-active heating method, the carbon dioxide saturation monitoring device based on optical fiber-active heating method includes: heating system, temperature acquisition system and monitoring system, the monitoring system is buried at the drilling position of rock mass, the monitoring system is respectively with the heating system and the monitoring system electric connection.The carbon dioxide saturation monitoring device based on optical fiber-active heating method in the embodiment of the application is realized by being arranged in deep well monitoring device, in combination with the high-precision temperature acquisition function of DTS demodulator, the continuous monitoring of target formation temperature change is realized, and the change of target formation carbon dioxide saturation is calculated, to provide technical support for geological storage.

The invention discloses an infrared moving target detection method and device fused with gyroscope information, and the method comprises the steps: collecting the infrared image data of a fixed frame rate, and collecting the angular rate data of a pitch angle and an azimuth angle in real time; the attitude angle variation in the continuous time period is calculated through a numerical integration method; according to the attitude angle variation, combining a geometrical relationship between a sensor and an image coordinate system, and performing conversion to obtain pixel-level offsets of each frame of image in a pitching direction and an azimuth direction; performing image calibration processing on the continuously acquired infrared image sequence; calculating the gray difference of corresponding pixel points in the adjacent frame images to generate a difference image; morphological operation is carried out on the difference image to remove image noise, fill a hole in a target area and smooth a target boundary; and a target contour in the differential image is extracted through a contour detection algorithm, and accurate positioning and segmentation of the moving target are realized. The method can improve the detection precision of the moving target.

The invention provides a wireless charging system surface anomaly detection and control method, which detects the temperature rise condition of metal foreign matters in an alternating magnetic field through a flexible temperature sensor, thereby identifying the metal foreign matters and ensuring effective and safe charging. A plurality of flexible temperature sensors are arranged on a flexible circuit board, then the flexible circuit board is integrated in the upper surface of a transmitting end or the lower surface of a receiving end of the wireless charging equipment, sampling values of all the flexible temperature sensors are monitored in real time, and then a data reference surface corresponding to the surface where the sensors are located is generated in real time; the surface numerical value and the surface trend monitored by the flexible temperature sensor are obtained, and the data of the dynamic reference point are updated; all dispersed flexible temperature sensor data are collected and integrated into array data containing relative coordinate information, a dynamic data reference plane is formed, and the position of the coordinate information of each flexible temperature sensor serves as a reference point.

The invention discloses a termite comprehensive treatment system based on cooperation of infrared monitoring and targeted trapping and killing and a use method, and relates to the technical field of termite prevention and control, and the termite comprehensive treatment system comprises an infrared monitoring module, a targeted trapping and killing module, a data transmission module, a control module and a power supply module. After the control module analyzes and processes the signals, the targeted trapping and killing module is driven to accurately release termite killing agents, dynamic monitoring and efficient killing of termites are achieved, and the problems of monitoring lag, blind trapping and killing, agent waste, environmental pollution and the like in traditional termite prevention and control are effectively solved. The system has the characteristics of high monitoring precision, strong trapping and killing pertinence, high automation degree, environmental protection, energy conservation and the like, and can be widely applied to comprehensive control of termites in multiple scenes such as buildings, gardens, agriculture and forestry.

Systems and techniques may be used for identifying geology, state of stress, or heat in place for a horizontal well. An example technique may include generating a 3D geologic model or a 3D temperature model of a horizontal well, receiving an indication of an orientation of a stress field in the horizontal well, and optionally drilling the horizontal well using the 3D geologic model, the 3D temperature model, or the indication of the orientation of the stress field. The example technique may include iteratively updating the 3D geologic model or the 3D temperature model of the horizontal well, for example based on in-well data.

The invention provides a material detection system capable of detecting materials without using identification information of the materials. The material detection system according to the present invention determines whether or not a material is disposed at a predetermined position, and is provided with: a transmission unit that transmits a wireless signal; a reception unit that receives the wireless signal transmitted from the transmission unit via a wireless communication path; and a calculation unit that determines whether or not the material is disposed at a predetermined position by detecting that the material attenuates the wireless signal on the wireless communication path on the basis of a change in the signal strength of the wireless signal received by the reception unit.

The invention provides a lens suitable for low-installation-height lower side installation detection and an infrared detection device, the lens is provided with a first light condensation area and a second light condensation area which are arranged up and down in a side installation use state, and the area ratio of the second light condensation area to the lens is larger than 50%. Wherein the first light gathering area is used for forming a forward view field in the side installation use state of the lens, and the second light gathering area is used for forming a forward downward view field in the side installation use state of the lens, so that the lens can be installed at the installation height of 2 meters and below. Therefore, the human body which moves in the forward view field direction and radially moves relative to the infrared detection device can generate a tangential movement component in the forward downward view field, and the radial sensitivity of the infrared detection device is guaranteed based on the high area proportion of the second light condensation area in the lens.

The invention discloses an all-weather anti-unmanned aerial vehicle monitoring and tracking method and system based on photoelectric signal fusion, and the method comprises the steps: collecting various types of monitoring data in a monitoring region, including a wide-angle visible light image, a local visible light image, an infrared thermal imaging image and three-dimensional laser point cloud data; carrying out fusion processing on the monitoring data, carrying out moving target detection through a fusion data frame to identify an unmanned aerial vehicle target, and obtaining the basic state information of the unmanned aerial vehicle target to judge the threat level of the unmanned aerial vehicle target; and when it is determined that the threat level reaches a preset level, starting continuous tracking of the unmanned aerial vehicle target, dynamically analyzing flight gait features of the unmanned aerial vehicle target, and determining an abnormal behavior level of the unmanned aerial vehicle target according to an analysis result to match and execute a corresponding countering strategy. According to the invention, the accuracy and reliability of unmanned aerial vehicle target detection are improved, the intelligent level of security decision is enhanced, and graded and accurate counter intervention is realized while the response efficiency is improved.