454 results about "Thermographic camera" patented technology

The invention discloses a multi-modal visual fusion complex scene small target detection tracking method and system, and relates to the technical field of unmanned aerial vehicle target tracking, and the method comprises the steps: employing a visible light camera, an infrared thermal imager and a laser radar sensor which are carried on an unmanned aerial vehicle platform, and synchronously collecting RGB images, thermal infrared images and point cloud data; the consistency of the multi-modal data is ensured through data preprocessing and space-time alignment; constructing a lightweight double-branch network to extract multi-scale features, generating a fusion feature map by adopting adaptive weighted fusion, and generating depth information by utilizing point cloud to assist in scale estimation; a small target detection head is designed based on the fusion feature map, and precise detection is realized in combination with a feature pyramid network, adaptive scale prediction and a context awareness suppression mechanism; furthermore, through multi-mode cooperative tracking, including target association, spatio-temporal context modeling, trajectory prediction and a re-detection mechanism, tracking continuity is ensured.

The invention relates to the technical field of substation equipment fault diagnosis, in particular to a substation equipment thermal fault diagnosis method and system based on an infrared image. The invention discloses a substation equipment thermal fault diagnosis method based on an infrared image. The method comprises the following steps: acquiring an equipment temperature distribution image through an infrared thermal imager; carrying out denoising, contrast enhancement and normalization preprocessing on the image; extracting features such as temperature anomaly, temperature gradient and hot spot areas; a YOLOv13 model is adopted to identify the equipment type; inputting the features into a deep learning model for fault classification; and implementing multi-level alarm according to the classification result confidence. According to the method, temperature gradient analysis and a regional dynamic contrast enhancement technology are creatively fused, so that the fault detection precision and the early warning capability are remarkably improved, and intelligent diagnosis and graded early warning of the thermal fault of the substation equipment are realized.

The invention provides an intelligent detection method and system for the tensile property of a plastic cable tie. Gradient temperature rise control is executed through the carbon fiber heating tube array, microscopic deformation fluctuation characteristics are captured through the double-grating displacement sensor, and temperature field distribution is collected through the infrared thermal imager. Establishing dynamic correlation between deformation and a temperature field to generate a three-dimensional space-time atlas, identifying a migration path of a thermal aggregation area, recording a standard path, and calculating a thermal anomaly coefficient in combination with pressure data; analyzing temperature conduction hysteresis to generate a heat conduction parameter, and dynamically correcting a threshold value by cross-modal correlation with an abnormal coefficient; a structure degradation index is generated based on the migration path, mapping between the structure degradation index and a temperature field is established to generate a thermal damage compensation coefficient, an abnormal coefficient is calibrated accordingly, and grading early warning is triggered in combination with the path deviation degree. According to the technical scheme provided by the invention, multi-scale damage evaluation from thermodynamic associated data acquisition to molecular chain fracture inversion is realized, and the high-temperature tensile failure critical point is accurately pre-judged through a dynamic calibration early warning mechanism.

The invention relates to the technical field of health care, and discloses a bath chair self-adaptive adjusting system based on multi-modal sensing. According to the system, a pressure sensor array, an infrared thermal imager and an inertial measurement unit are used for collecting multi-dimensional real-time data, and the multi-modal sensing fusion module is used for processing the multi-dimensional real-time data to generate a structured physiological feature vector. The user intention recognition module predicts user behavior intention and gives a comfort level score on the basis, and the posture self-adaptive adjustment module optimizes seat supporting curved surface parameters according to the comfort level score to achieve real-time adjustment. In addition, the safety monitoring module evaluates the slip risk, the closed-loop control module guarantees safety, the online learning module optimizes the adjustment strategy, and the abnormal response module deals with the emergency situation. According to the system, the comfort and safety of the bath chair are improved, personalized adjustment is achieved, and the system has high practical value.

The invention relates to the technical field of spinning quality detection, and discloses a jute spinning product quality detection method and system based on an intelligent sensor. The method comprises the following steps: acquiring real-time process parameters of a jute spinning production line, and synchronously capturing yarn surface temperature field distribution in combination with an infrared thermal imager; performing space-time alignment processing on the yarn tension fluctuation data and the temperature field distribution to generate a fused dynamic process characteristic matrix; according to the tension gradient change rate and the temperature field abnormal region coordinates in the dynamic process characteristic matrix, dividing potential occurrence sections of yarn quality defects; a microstructure image of the yarn in the potential generation section is extracted, a fiber arrangement angle deviation value is measured through a polarized light interferometer, and fiber molecular bond vibration frequency data is obtained in combination with a Raman spectrometer; and inputting the fiber arrangement angle deviation value and the molecular bond vibration frequency data into a cascade quality analysis model, and outputting a quantitative index set of the internal structure defects of the yarns.

The invention discloses an infrared thermal image enhanced real-time rectal blood vessel blood flow detection method. The method comprises the following steps that S1, a thermal image of an operation area is collected through an infrared thermal imager to serve as a to-be-processed medical purpose image; s2, adopting a double-branch collaborative network architecture, adopting an improved U-Net structure for a deep denoising priori network DDPNet, introducing a detail sensing unit DAU, and separating noise and organizational structure features through residual learning; and S3, obtaining a supervision signal in the image, and processing each supervision model to obtain a processed image. The method can effectively improve the accuracy and comprehensiveness of information obtained after image processing in the operation and improve the effectiveness of information acquisition in the operation process.

The invention relates to the technical field of unmanned aerial vehicle radio detection, in particular to an unmanned aerial vehicle detection and judgment method based on cooperation of an air-ground system and radio detection, and the method comprises the steps: finding a suspected target through scanning of a multi-frequency-band radar, triggering an infrared thermal imager carried by an aerial unmanned aerial vehicle to approach an ultra-wide-frequency-band spectrum sensor for verification; accurate positioning is realized by combining ground photoelectric equipment multi-view triangulation positioning and a signal arrival time difference algorithm, a command and control center calculates threat levels through a multi-source data fusion engine, and navigation decoy of dynamically adjusting intensity is adopted for targets smaller than or equal to two levels. Hard killing of ground laser locking rotor center and air electromagnetic pulse synchronous coverage is executed on a target of more than or equal to three levels, the equipment state is synchronized in real time through an optical fiber link, high-energy-consumption equipment is intelligently closed after threat is relieved, a platform starting strategy is optimized, a detection closed loop of'three-dimensional perception-graded treatment-intelligent energy saving 'is constructed, and the intelligent energy saving effect is achieved. And an efficient and accurate low-altitude safety protection scheme is provided for a sensitive area.

The invention discloses a livestock identity recognition method and system based on an unmanned aerial vehicle, and relates to the technical field of livestock identity recognition, and the method comprises the steps: constructing an identity information database which comprises the electronic ear tag IDs of all target livestock individuals in a pasture, a visible light feature image, an infrared thermal imaging contour template and a historical motion behavior sequence in a cloud server; initialization of an unmanned aerial vehicle system carrying a visible light camera, an infrared thermal imager, an RFID reader and an edge calculation module is completed, and communication connection between the unmanned aerial vehicle system and a ground control station and between the unmanned aerial vehicle system and a cloud server is established; controlling the unmanned aerial vehicle to enter an inspection area, monitoring a ground target through a visible light camera, synchronously acquiring a visible light image, an infrared thermal image and a radio frequency response signal of a target individual when the livestock is detected to enter an effective identification range, and performing timestamp alignment on the three types of data; a first visual feature vector is extracted from the visible light image and a visual confidence score is generated.

The invention discloses a multi-modal fusion AI visual detection method. The method comprises the following modules: a multi-modal data acquisition module, a data preprocessing and aligning module, a multi-modal feature fusion AI module, a real-time decision and feedback module, and a model iteration and data management module. The multi-modal data acquisition module comprises a high-resolution visible light camera, an infrared thermal imager, a high-precision line laser scanner and a synchronous trigger controller; the method further comprises the following steps: step 1, an early-stage preparation stage; 2, a detection execution stage; 3, a decision-making and feedback stage; 4, performing daily maintenance and iteration; the invention aims to provide a multi-modal fusion AI visual detection method, so as to solve the problems that the existing method depends on a single detection mode, only surface texture defects can be identified, and internal problems or three-dimensional form defects of materials cannot be considered; and a traditional detection mode often depends on manual judgment or a semi-automatic process, is low in efficiency and is greatly influenced by subjective factors.

The invention relates to the technical field of unmanned aerial vehicle autonomous reconnaissance, in particular to an unmanned aerial vehicle reconnaissance decision-making method, device and equipment based on edge calculation and a medium, and the method comprises the steps: obtaining the multi-dimensional data of an environment and a target through an optical camera, an infrared thermal imager and a radar carried by an unmanned aerial vehicle; target identification and strategy reasoning are carried out on the multi-dimensional data, a target type and attributes are identified from the multi-dimensional data through a lightweight convolutional neural network, and a battlefield situation is obtained in advance to generate a strike strategy; obtaining a threat level and a task priority, and dynamically adjusting the flight path of the unmanned aerial vehicle and the strike strategy according to the threat level and the task priority; and obtaining a strike result corresponding to the strike strategy, analyzing the strike result in real time, judging a target destroy state through an airborne sensor, and updating a subsequent task strategy. According to the invention, the autonomy of the unmanned aerial vehicle system is improved.

The utility model relates to the technical field of inspection robots, and discloses an indoor inspection robot which comprises a base, one side of the interior of the base is fixedly connected with a first supporting shell, the other side of the interior of the base is fixedly connected with a second supporting shell, and the inner wall of the base is fixedly connected with driving motors which are in bilateral symmetry. And moving wheels are fixedly connected to the output ends of the driving motors, the first supporting shell and the second supporting shell jointly store internal parts of the robot, and headlamps are arranged in the first supporting shell and the second supporting shell correspondingly. According to the utility model, through cooperation of the dual-light holder, the visible light camera and the infrared thermal imager, visible light and thermal imaging dual-mode inspection is realized, and the environmental monitoring precision is improved; the microphone module and the gas sensor module work cooperatively to collect sound information and environment gas parameters and enhance the inspection function; the two-stage lifting arm is matched with the sliding arm, so that the heights of the camera and the sensor are adjustable, and different inspection requirements are met.

A panoramic scanning coal fire detection and disaster early-warning, prevention and control apparatus for a mining area, the apparatus comprising a detection apparatus, a laser scanning apparatus, a satellite remote-sensing monitoring apparatus, a data processing and analysis system, and an early-warning, prevention and control apparatus. High-precision thermistor temperature sensors (1) are arranged inside, on the surface and in surrounding areas of coal piles, such that subtle changes in the temperature of the coal piles can be accurately captured, and early-stage potential coal fire hazards can be effectively detected; gas sensors (2) installed at vents of a mining area can simultaneously measure the concentrations of gases such as carbon monoxide, carbon dioxide, methane and sulfur dioxide, so as to promptly identify anomalies in gas composition that are caused by coal fire combustion; an infrared thermal imager (3), which is located at a high position to acquire a panoramic view of the mining area, can clearly display high-temperature regions; and cameras (4) provide high-definition, wide-angle and low-illumination visual monitoring, and various sensors comprehensively collect data from different dimensions, thereby greatly improving the accuracy and comprehensiveness of monitoring.

The invention discloses a power battery multi-field coupling in-situ test platform and method, and relates to the technical field of battery test.The power battery multi-field coupling in-situ test platform comprises a test module and a data acquisition module, and the test module comprises an explosion-proof box inner container and an explosion-proof box inner container partition plate arranged in the explosion-proof box inner container; the explosion-proof box inner container partition plate divides the interior of the explosion-proof box inner container into a test area and a temperature and humidity control area, and the temperature and humidity control area is communicated with the test area through the explosion-proof box inner container air outlet. A battery clamp for fixing a battery, an extrusion needling mechanism for executing an extrusion needling test on the battery, and a drop hammer mechanism for executing a dynamic impact test on the battery are arranged in the test area; the data acquisition module comprises charging and discharging equipment, an electrochemical workstation, a multi-channel data recorder, a camera, an infrared thermal imager, a displacement sensor, a mechanical sensor, a stress sensor, a strain sensor and a thermocouple. And the actual performance of the power battery under the multi-dimensional working condition is comprehensively evaluated.

The invention belongs to the technical field of photoelectric detection, and discloses a refrigeration type handheld observation device and a dynamic temperature control method thereof. An infrared thermal imager is installed at the cold end of a semiconductor chilling plate and is connected with a heat dissipation structure through a composite phase change structure and a heat pipe array; acquiring environment parameters and equipment thermal state parameters by using an environment and equipment parameter acquisition unit; and the dynamic temperature control unit is used for matching the refrigeration power in real time according to the environment parameters and the equipment thermal state parameters, and the working current of the semiconductor refrigeration sheet is adjusted according to the target refrigeration power obtained through matching. The cooling efficiency of the refrigeration type handheld observation device is actively adjusted, the temperature control precision is improved, and heat management of the refrigeration type handheld observation device is optimized.

The invention belongs to the technical field of intelligent logistics and automatic control, and particularly relates to a lithium electrochemical capacity grading OHT crown block scheduling system based on visual identification, which comprises an information acquisition module, a path planning module and a dynamic adjustment module, the information acquisition module is used for acquiring surface state data and spatial position data of the battery through the multi-mode sensor group and transmitting the data to the feature extraction unit for processing; wherein the multi-mode sensor group comprises a high-resolution industrial camera, an infrared thermal imager and an ultrasonic ranging sensor; and the path planning module is used for generating an initial path planning scheme according to the target battery position information output by the feature extraction unit and the current crown block running state information. Through the design of the conflict detection unit and the dynamic adjustment module, the path conflict rate in a multi-crown-block complex scene is remarkably reduced, and real-time environment changes such as sudden obstacles can be quickly adapted, so that the overall efficiency and reliability of crown block adjustment are improved.

The invention discloses a building leakage detection device and a detection method, the building leakage detection device comprises an infrared thermal imager, a walking vehicle, a blowing head, a covering and blocking cover and water color developing test paper, the blowing head, the covering and blocking cover and the infrared thermal imager are connected with an adjusting piece, a vehicle body is provided with a longitudinal sliding groove and a transverse sliding groove, and the adjusting piece can slide along the longitudinal sliding groove and the transverse sliding groove. A high-pressure sprinkler head is arranged in the covering and blocking cover and is communicated with a water storage tank through a water pump and a water supply pipe, a fluorescent sheet is arranged in the water storage tank, and the water-encountering color-developing test paper can be attached to the right side of a building wall; through the arrangement of the infrared thermal imager, the air blowing head, the wrapping and blocking cover, the water-encountering color developing test paper and the high-pressure water spraying head, hot air is blown to the building wall firstly, then infrared imaging detection is conducted, the use time does not need to be detected through a card, and use is convenient; afterwards, the abnormal position is subjected to water immersion detection, then the water immersion position is subjected to cold air drying, damage to a building wall is reduced, a fluorescent sheet in water can mark leakage gaps, and repair and maintenance are facilitated.

The invention provides a fire extinguisher tank coating process parameter collaborative optimization control method and system. The method comprises the following steps: acquiring infrared radiation data on the surface of a paint film of a fire extinguisher tank in a curing oven, and generating a temperature distribution matrix through thermal gradient analysis; quantifying temperature difference characteristics of different positions of the surface by using the matrix; a multispectral infrared thermal imager is annularly arranged in the curing oven, the optical scanning path of the multispectral infrared thermal imager is dynamically adjusted based on temperature difference characteristics, temperature abnormal points are marked, and a three-dimensional thermal field distortion atlas is constructed; analyzing temperature abnormal point distribution in the atlas, and generating a local cooling compensation vector; and converting the compensation vector into a heating unit power adjustment instruction by applying a sliding mode control mechanism, and adjusting output power to inhibit paint film deformation. Dynamic balance of the curing temperature of the paint film and temperature range compression are realized, and the deformation defect of the paint film is eliminated.

The invention belongs to the technical field of profile steel lifting control, and discloses a profile steel lifting control system with a track monitoring function, multi-dimensional data such as dynamic force, strain and temperature are collected through a profile steel load coupling recognition module, and PID parameters are corrected in real time in combination with a dynamic load compensation fuzzy PID algorithm; wherein the dynamic force sensor samples lifting impact force at 1kHz, the anti-radiation optical fiber strain sensor captures profile steel stress, the infrared thermal imager monitors temperature, and the dynamic load coefficient is corrected jointly; meanwhile, parameters are adjusted 200 ms ahead of time based on a predicted load sudden change point, motor overload and non-elastic deformation of a lifting appliance are avoided, track deviation is effectively prevented, heavy type section steel dynamic load impact and variable cross-section load sudden change scenes are adapted, and operation safety is greatly improved; a force linkage equation between lifting points is established through a twinborn dynamic coupling planning module, a multi-lifting-point force compensation torque calculation formula is combined, single-lifting-point compensation torque is calculated in real time, and the speed of adjacent lifting points is adjusted.

The invention discloses a multi-source information fused intelligent inspection system, method and equipment with a target guiding function. The system comprises an inspection management platform, a data base station, a wireless routing base station, a quadruped robot, a pose sensor and a multi-mode sensor unit, wherein the inspection management platform, the data base station, the wireless routing base station, the quadruped robot, the pose sensor and the multi-mode sensor unit comprise a laser radar, a visible light camera and an infrared thermal imager; a control processing terminal is arranged on the quadruped robot and is used for acquiring data acquired by the multi-mode sensor unit and the pose sensor, processing the acquired data and outputting a control signal according to external instruction data, so that the quadruped robot moves according to an inspection planning path; the multi-mode sensor unit and the pose sensor are controlled to work; and the inspection management platform is used for analyzing and processing the data acquired and processed by the control processing terminal, and outputting instruction data including an inspection planning path to the control processing terminal. According to the invention, the inspection safety of engineering scenes in dangerous environments such as underground spaces and tailings ponds can be improved.

The invention discloses an environmental physical security detection method, which relates to the technical field of information security, realizes multi-dimensional data acquisition by comprehensively using a thermal imager, a spectrum analyzer and an X-ray machine through the steps S1 to S5, overcomes the blind area of traditional manual detection, and ensures comprehensive identification of hidden secret stealing equipment. And secondly, through de-noising and standardization processing, the accuracy and reliability of the data are enhanced, and the risk of false alarm and missing alarm is reduced. In the feature extraction stage, key parameters such as a mean value Tm, a standard deviation Ts, a maximum frequency Fmax, a maximum intensity Imax and an edge feature Es are utilized to construct a scientific anomaly detection formula, so that the calculation of an anomaly detection index Da is more accurate, and potential safety hazards can be effectively identified. In addition, through matching of a secondary verification mechanism and historical data, the credibility of the detection result is further improved, so that a solid technical support is provided for security protection of a secret-related environment.

The invention provides a conveyor state monitoring device and method based on machine vision, and the device comprises a monitoring cabin which can autonomously reciprocate along a rigid guide rail at one side of a conveyor, automatic charging piles are arranged at the two ends of the guide rail, and the monitoring cabin is integrated with an infrared thermal imager, a visual camera and a sound sensor. A vibration sensor and an incremental photoelectric encoder are arranged along the line. A processor is arranged in the monitoring cabin, and time alignment, feature extraction, fusion of a multi-scale feature fusion model and three-level decision judgment are carried out on infrared signals, visual signals, sound signals and vibration signals on the basis of encoder timestamps. According to the method, fault diagnosis and false alarm filtering are achieved by controlling inspection of a monitoring cabin, multi-source data preprocessing, confrontation feature fusion network processing and three-level progressive judgment, and accurate positioning is achieved based on the mapping relation between encoder pulses and support numbers. According to the invention, the monitoring coverage range is expanded, the endurance continuity is improved, the data transmission stability is improved, and the false alarm rate is reduced.

The invention discloses an optical system of an infrared thermal imager, and the system comprises a super-structure lens module which employs a silicon-based super-structure lens, and achieves 3-5 [mu] m and 8-12 [mu] m multi-band focusing through a single sheet; the free-form surface lens is matched with the super-structure lens to correct asymmetric aberration; the multi-view-field switching mechanism is used for driving a zoom group through a micro stepping motor to realize switching between a wide angle and a narrow angle; the active athermalization compensation unit comprises an MEMS driver and a temperature sensor, and the lens spacing is dynamically adjusted through closed-loop control; and the intelligent processing module is integrated with an embedded FPGA processor and operates a deconvolution algorithm to suppress diffraction stray light at the edge of the super-structure lens. According to the optical system of the infrared thermal imager, the problems that a traditional infrared optical system is large in size, high in weight and poor in environmental adaptability are solved through the innovative optical design and manufacturing process, and efficient and long-time patrol flight detection of the unmanned aerial vehicle-mounted infrared thermal imager is achieved.

The invention belongs to the technical field of security and secrecy, and particularly relates to a vehicle secrecy technology detection method and system based on a shielding tent. Constructing a signal isolation environment in the electromagnetic shielding tent; establishing a noise baseline model through spectral analysis; wireless terminal equipment detection is carried out through an all-standard terminal analyzer; a non-linear node detector, an infrared thermal imager, a near-field signal detector, a back scattering type X-ray machine and an endoscope are used for cooperatively scanning in different regions; and by combining algorithms such as big data and machine learning, positioning an overproof signal source, and if a suspicious device is found, disposing according to rules and obtaining evidence. According to the method, the problems of low standardization degree, high equipment false alarm rate, low implementation efficiency and low detection comprehensiveness when the vehicle is subjected to confidentiality technology detection in an open environment are solved. The method is suitable for eavesdropping, stealing and positioning device detection of secret-related vehicles.

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 cold-rolled strip steel, and discloses a cold-rolled strip steel surface defect detection system and method based on target detection, and the method comprises the following steps: 1, arranging collection parts in a conveying area according to a preset interval, and dividing the surface of a to-be-detected material into a plurality of collection areas, the acquisition part comprises an optical sensor covering the whole surface of a material to be detected, a thermal imager and a near-infrared surface liquid film thickness detector, and the surface is divided into uniform acquisition areas in a gridding mode; step 2, acquiring surface acquisition feedback data of each divided area one by one through an acquisition part, the feedback data including the size, color, surface temperature distribution, humidity distribution and surface attachment distribution of a preset area of the detection material, combining YOLOv9 and MobileNetV4 lightweight models and a GAM attention mechanism, and cooperating with a WIoU loss function and LSTM time sequence prediction to obtain a detection result; the detection speed and the tiny defect identification capability are improved, and the positioning precision and trend analysis are enhanced.

The invention discloses an automatic detection system for floating roof sealing of a storage tank, and relates to the technical field of sealing detection, and is technically characterized in that the automatic detection system comprises a connecting frame mounted at the top of the storage tank, a lifting mechanism is arranged on the connecting frame, and a horizontal displacement mechanism is arranged below the lifting mechanism; a detection mechanism for detecting the sealing performance is arranged on the movable part of the horizontal displacement mechanism, and the detection mechanism is in signal connection with a wireless transmission module; the sealing detection mechanism comprises a laser distance measuring sensor, an infrared thermal imager and a gas concentration sensor, a certain detection distance is kept between the laser distance measuring sensor and the edge of the floating roof of the storage tank by adjusting the lifting mechanism, and the field angle of the infrared thermal imager covers the full width of a sealing belt of the floating roof of the storage tank; the top sealing performance can be automatically detected, and the efficiency and the reliability are improved.

The utility model relates to a kind of lens and infrared thermal imager, including lens main body, optical lens and laser ranging module, the lens main body has first accommodating cavity, the optical lens is arranged in first accommodating cavity, at least one edge of the optical lens is provided with linear cutout, the linear cutout of the optical lens and the inner wall of the first accommodating cavity are enclosed into accommodating groove, the laser ranging module is partially or wholly arranged in accommodating groove.The utility model not only can reduce the loss of optical lens in energy under the function of ensuring integrated laser ranging module, and increase the reliability of optical lens.

The utility model discloses kiln coating hanging equipment for a hazardous waste rotary kiln, and belongs to the technical field of hazardous waste treatment. Comprising a rotary kiln body, a conveying unit connected with a feeding port of the rotary kiln body, a burner arranged at the tail of the rotary kiln body and a temperature control unit used for controlling the temperature of a kiln coating. The temperature in the kiln is monitored in real time through the online infrared thermal imager, the interior and the exterior of the kiln are cooled in an internal and external collaborative cooling mode, the cooling efficiency is remarkably improved, the kiln body is prevented from being damaged due to high temperature, and accurate control over the temperature in the kiln is achieved; by optimizing the design of the material conveying unit, the temperature control unit and the air duct system, the defects of existing kiln coating equipment in the aspects of refractory material feeding, temperature control and cooling efficiency are overcome, the kiln coating equipment has the advantages of being uniform in feeding, accurate in temperature control, efficient in cooling, reliable in operation, convenient to maintain and the like, the operation efficiency of the hazardous waste rotary kiln is remarkably improved, and the service life of the hazardous waste rotary kiln is remarkably prolonged. And the operation cost is reduced, and wide application prospects are achieved.

The invention relates to the technical field of zinc extraction rotary kiln processing devices, in particular to a detection method, system and device for reducing ring formation of a zinc extraction rotary kiln, and the method comprises the following steps: step 1, cleaning the inner side wall of the rotary kiln, removing adhesive substances, constructing a 1: 1 three-dimensional geometric model by using 3D software according to the actual internal size of the rotary kiln, and calculating the actual internal size of the rotary kiln; the method comprises a first step of embedding equipment such as a thermal imager, a thermocouple, a combustor and an air pipe into a geometric model according to actual installation positions, and marking the monitoring range of the equipment, a second step of establishing a three-dimensional mapping relation of'equipment data-space coordinates', namely distributing exclusive space coordinate codes for each piece of detection equipment, and a third step of increasing the early warning advance by 80% through an industrial communication protocol, and aiming at different first-stage, second-stage and third-stage scenes, differentiated monitoring frequencies and triggering conditions are formulated, and air volume and air pressure linkage adjustment of the feeding combustion air duct is matched, so that resource waste or insufficient prevention and control caused by one-step regulation is avoided.