221 results about "Life detection" patented technology

The invention provides an electric vehicle battery health state monitoring and service life estimation method and system, and the method comprises the steps: S1, obtaining a real-time data flow of a battery during the operation of a vehicle, extracting the original records of charging and discharging depth, temperature change, internal resistance parameters and capacity data from the real-time data flow, a dynamic monitoring sample is calculated through voltage, current and temperature values collected by a sensor; s3, calculating a capacity attenuation rule through the time sequence feature set, analyzing the decrease amplitude of the capacity after each charge-discharge cycle by adopting an exponential attenuation model, obtaining a long-term operation trend from historical data, and obtaining a dynamic curve of capacity attenuation; and S8, if the confidence interval of the final estimation probability distribution is greater than a preset threshold value, recollecting data with higher frequency for the dynamic monitoring sample, and performing iterative optimization on the life estimation model through the updated sample to obtain an adjusted life detection result.

The invention discloses a full-aviation life intelligent detection and emergency rescue decision-making method and system. The method comprises the following steps: dividing emergency rescue scene gridding partitions; identifying the disaster degree and the number of affected people; combining an identification result with the gridding partition map to form a red, yellow, blue and green post-disaster gridding partition map; a full-aviation transient electromagnetic method life detector, an optical personnel detection device and a microwave radar life detection device are sequentially adopted to carry out step-by-step detection on the potential affected area, and a final replacement result of red, yellow, blue and green gridding target marking is formed; determining the priority level of ground rescue entering search and rescue according to the gridding partition map and the final replacement result; searching and inputting rescue result information of ground rescue entering search and rescue, and forming box counting statistics of grid information; a rescue decision suggestion is automatically generated according to a box counting statistical result, and efficient cooperation with a ground rescue team is formed; the method can effectively overcome the limitation of a single detection method in complex terrains and extreme environments.

The invention relates to the technical field of target identification based on multi-modal data fusion, and aims to solve the problems that an existing life detection system is difficult to effectively distinguish spatial distribution of a human body target and a hot pseudo target and cannot realize real-time synchronous analysis of multi-source heterogeneous data, so that the target positioning reliability in an extreme environment is seriously restricted. The invention provides a multi-modal data fusion human body target recognition method based on automatic control, and the method comprises the steps: constructing a feature complementation and interference suppression model based on a deep neural network through fusing the cross-modal data of infrared thermal imaging and visible light imaging, and employing a multi-scale anti-interference network based on wavelet graph convolution and an attention mechanism to recognize a human body target. The environment noise broadband interference is suppressed through the time-frequency localization characteristic, high-robustness recognition of a human body target in severe environments such as dense smoke shielding and thermal radiation interference is achieved, and accurate distinguishing of the human body and a thermal pseudo target in a complex fire scene environment is achieved.

The invention discloses a petroleum pipeline service life prediction system based on a 3D technology, and relates to the technical field of pipeline service life detection, and the system comprises a contour reconstruction module S11 which is used for obtaining the surface three-dimensional point cloud image data of a petroleum pipeline housing in an actual operation environment, and carrying out the surface contour reconstruction processing based on the three-dimensional point cloud image data, extracting space geometric structure data containing a local deformation defect area; the force-heat coupling analysis module S12 is used for constructing a finite element analysis grid according to the space geometric structure data and loading operation condition data into corresponding grid nodes to generate a force-heat coupling stress field, and the operation condition data comprises a periodic internal working pressure value, along-line temperature field data and an axial disturbance stress tensor; the feature extraction module S13 is used for calculating an equivalent stress distribution value of a defect area node based on a force-heat coupling stress field; according to the invention, accurate quantification of fatigue damage evolution of the defect area is realized.

The utility model discloses a temperature control water nozzle service life testing machine, and relates to the technical field of temperature control water nozzle service life detection. The temperature control water nozzle service life testing machine comprises a testing stand and a constant temperature water nozzle body, a fixing frame is fixed to the rear side of the top of the testing stand, a water supply pipe is embedded in the fixing frame, a water outlet pipe is arranged on the front side of the water supply pipe, a threaded sleeve is rotationally connected to the front end of the water outlet pipe and is in threaded fit with the constant temperature water nozzle body, and a hose is connected between the water supply pipe and the water outlet pipe. A screw rod is obliquely arranged on the inner side of the fixing frame, a movable block is arranged on the screw rod in a threaded mode, an elastic assembly is connected to the bottom of the movable block, a U-shaped frame is connected to the lower end of the elastic assembly, a pressing wheel is rotationally installed on the inner side of the U-shaped frame through a rotating shaft, and the pressing wheel is matched with a hose. By combining the elastic effect of the elastic assembly, the pressing wheel extrudes the hose, the size of the drift diameter of the hose is changed, the purpose of adjusting the water flow speed is achieved, the structure is simple, and use is convenient.

The invention belongs to the technical field of battery detection, and particularly discloses a fuel cell performance evaluation method, system and device and a medium, and the method comprises the steps: collecting the multi-source feature data of a to-be-detected fuel cell in real time; carrying out preprocessing on the multi-source feature data; inputting the preprocessed multi-source characteristic data into an electrochemical-thermodynamic coupling model, and calculating to obtain an activation polarization voltage, an ohmic loss voltage and a concentration polarization voltage; and inputting the multi-modal input features into a pre-trained fuel cell performance health state evaluation model to evaluate the health state index and the remaining service life of the fuel cell to be tested. The accuracy of fuel cell health state and service life detection can be improved.

The invention discloses a vehicle windscreen wiper service life detection method and device, a vehicle and a program product, and the method comprises the steps: building a residual life prediction model of a vehicle windscreen wiper through an end-to-end deep neural network model, and enabling the model to take the state data of a windscreen wiper rubber strip and the parameter characteristics of the environment where the vehicle is located as the input; and outputting the predicted residual life of the windscreen wiper rubber strip. The input of the model comprises the multi-mode state data, obtained in the current detection period, of the windscreen wiper rubber strip of the vehicle and the parameter characteristics of the environment where the windscreen wiper rubber strip is located after the windscreen wiper rubber strip is replaced last time. When the vehicle is in different external environments, the aging speeds of the windscreen wiper rubber strip are different, the parameter characteristics of the environment where the vehicle is located serve as the input parameters of the model, and the model can be guided to dynamically predict the remaining life of the windscreen wiper rubber strip according to the parameter characteristics of the environment where the vehicle is located. Therefore, the accuracy of predicting the residual life of the windscreen wiper rubber strip is further improved.

The invention relates to the technical field of electrical equipment state monitoring, in particular to an intelligent circuit breaker electrical life detection method and system based on data analysis. The method comprises the following steps: synchronously acquiring opening coil voltage and current sequences, a main loop current sequence and environment temperature data when a circuit breaker acts, extracting actually measured action time based on the coil data, and calculating a mechanical health degree factor by combining the environment temperature and the actually measured action time; after decoupling correction is carried out on an electrodynamic force interference factor derived by a peak current of a main loop, a mechanism wear state index is obtained; a nonlinear damage model containing basic electric heat loss and mechanical degradation acceleration factors is constructed, a single-time electric life loss value is calculated, historical loss values are accumulated, a dynamic threshold value is combined to realize full-life-cycle prediction, and evaluation interference of environmental factors and large-current electrodynamic force is eliminated through deep data analysis. The nonlinear acceleration effect of mechanism hysteresis on contact ablation is quantified, and the detection precision is remarkably improved.

The invention relates to the technical field of battery detection, in particular to a battery life detection method and system, an intelligent terminal and a storage medium, and the method comprises the steps: collecting operation data in real time through a multi-source sensor array disposed in a charging pile; the multi-source sensor array comprises a multi-point temperature sensor, a current waveform sensor and a displacement sensor; performing dynamic feature extraction on the collected operation data to generate a dynamic feature set; inputting the dynamic feature set into a multi-parameter coupling health analysis model to generate a whole machine health state; the health state of the whole machine is recognized, and when it is recognized that the health state is attenuated, a maintenance instruction is output; the maintenance instruction includes a faulty component identifier and a remaining life predictor. The method has the effects of dynamically and quantitatively sensing the performance state of the key internal components of the charging pile, positioning the fault component and predicting the residual service life of the charging pile.

A high-frequency resistant ground fault circuit interrupter (HF-GFCI) with self-test and end-of-life detection is disclosed. The invention incorporates a noise-resistant fault detection circuit, an auto-test module, and an end-of-life shutdown mechanism to ensure reliable protection. The device minimizes false tripping due to high-frequency noise and enhances safety through continuous self-monitoring. Experimental validation confirms improved immunity to leakage currents and transient voltage disturbances. The HF-GFCI also provides an LED circuit having dual functionality: an LED indicator circuit and neutral to ground detection on the load side of the HF-GFCI.

The invention provides a lithium battery residual life detection method and apparatus, an electronic device and a storage medium. The method comprises the steps of performing correlation analysis on a voltage battery capacity curve of each charging interval and a battery health state to obtain a correlation coefficient; when the absolute value of the correlation coefficient is greater than a preset value, constructing a battery voltage characteristic sample set through the battery voltage and the battery capacity of the charging interval, and taking impedance spectrum data corresponding to each charging interval in the battery voltage capacity characteristic sample set as an impedance spectrum characteristic sample set; inputting the battery voltage characteristic sample set into a deep learning model to obtain a predicted impedance spectrum, and training the deep learning model based on the predicted impedance spectrum and the impedance spectrum characteristic sample set; and inputting the charging data of a to-be-predicted lithium battery into the trained deep learning model to obtain a target predicted impedance spectrum, and determining the predicted residual life of the lithium battery based on the equivalent circuit model and the target predicted impedance spectrum. The detection efficiency is improved by detecting the battery voltage characteristics of the lithium battery.

The invention discloses a die-casting die thermal fatigue life detection device, and relates to the technical field of die-casting die detection, the die-casting die thermal fatigue life detection device comprises a detection machine body and a control platform, and the top of the detection machine body is provided with a material thermal fatigue detection assembly and a mechanical load mechanism. When the device is used, the electric push rod pushes the heat insulation sleeve to penetrate through the penetrating hole and continue to move, and the movable turning cover is jacked upwards. Under the combination of the vacuum cavity, the honeycomb-shaped porous heat insulation plate and the metal foil reflecting screen, the heat insulation sleeve forms a triple barrier of reflection, vacuum and porous heat insulation, heat transfer is blocked, and it is guaranteed that cold air is not affected by heat of an air cooling opening when blown. When the material thermal fatigue detection assembly works, the cold air pipe and the heat insulation sleeve are located outside the detection box, the heat absorption temperature of the cold air pipe is prevented from increasing in the heating process, and the mold thermal fatigue detection precision and efficiency can be improved.

The invention provides a fragrance system service life detection method based on working condition parameters. The fragrance system service life detection method comprises the steps of obtaining fan rotating speed parameters, environment temperature parameters and working time delta t under the working condition when a fragrance system actually works; based on the fan rotating speed parameter and the environment temperature parameter, determining a corresponding preset fragrance rotating speed consumption coefficient Kr and a preset fragrance environment temperature consumption coefficient Kt; according to the working time delta t, the fragrance rotating speed consumption coefficient Kr and the fragrance environment temperature consumption coefficient Kt, the equivalent life consumption sub-time delta Tequiv relative to the fragrance system under the reference working condition is calculated; accumulating the sum of the equivalent life consumption sub-time delta Tequiv of the fragrance system under a plurality of working conditions, and generating the total equivalent life consumption time Ttotalquiv of the fragrance system; and when the total equivalent life consumption time Ttotalquiv of the fragrance system exceeds a preset life threshold value Tthreshold of the fragrance system, judging that the life of the fragrance is ended. According to the method, the fan rotating speed and the environment temperature which influence the fragrance consumption rate are calculated, so that the service life detection is more accurate.

The invention relates to the technical field of robots, and provides a walking control method, device and equipment for a foot type robot and a medium. Multi-source ground sensing information of the advancing direction of the foot type robot is obtained; determining the current ground type of the advancing direction according to the multi-source ground sensing information; generating a target gait parameter matched with the current ground type through a gait parameter mapping model corresponding to the current ground type; the target gait parameters are converted into joint control instructions, and joints of the foot type robot are driven to move according to the joint control instructions. The walking control scheme of the foot-type robot is suitable for complex terrains such as mountainous regions, ruins, gullies and muddy zones, the adaptive capacity and walking stability of the foot-type robot in the different complex terrains can be improved, and the foot-type robot can be better applied to on-site investigation and loss assessment of insurance claim settlement in the field of financial science and technology; and life detection, rescue and other tasks in the field of medical science and technology.

The invention discloses a machine tool cutter service life detection system, which belongs to the technical field of machine tool machining cutter detection, and comprises a magnetic sensor for generating a pulse signal when a tool rest completes a workpiece machining cycle; the signal processing module receives the pulse signal and executes a counting algorithm; the tool wear detection module comprises an optical sensor group for acquiring cutting surface images, a vibration sensor for acquiring vibration signals of a tool rest main shaft, a current sensor for acquiring current fluctuation of a tool feeding motor and an acoustic emission sensor for acquiring acoustic emission energy of a cutting frequency band; the analysis early warning module is used for training a dynamic threshold model based on the feature vector and outputting a wear level; the cutter life prediction module predicts the remaining service life of the cutter; and the execution module outputs a machine tool machining signal according to the tool wear grade and the remaining service life of the tool. According to the invention, various different types of sensors are integrated at the same time for comprehensive wear detection; the problems of single monitoring dimension and low precision in the prior art are solved.

The invention discloses a water purifier filter element service life detection method and system, and relates to the technical field of intelligent household appliance sensor crossing, and the method comprises the steps: carrying out the voiceprint detection according to a water quality entropy change mark, and carrying out the adjustment according to a filter element reference voiceprint library, and obtaining a voiceprint detection parameter set; according to the voiceprint detection parameter set, water flow voiceprint signals are collected in real time, spectral analysis is carried out, and a real-time voiceprint spectrogram is generated; calculating a high-frequency attenuation index based on the real-time voiceprint spectrogram, recognizing a blockage level, performing graded early warning according to the blockage level, and generating a hardware control signal set; and calculating the residual life of the filter element based on the blockage level and the current information entropy value, and generating a filter element life detection report in combination with the hardware control signal set. According to the method, the response delay bottleneck of fixed period detection is broken through, misjudgment caused by individual difference of the filter elements is eliminated, and dynamic optimization of a detection strategy is realized.

The invention relates to the technical field of artificial intelligence, and discloses a life significance sense detection method and device. The method comprises the following steps: constructing a knowledge graph based on multiple scientific literatures; obtaining text data for training; taking the knowledge graph as background knowledge of a large language model, and generating a knowledge description text corresponding to the text data through the large language model; generating a synthetic text based on the text data and the knowledge description text, and converting the synthetic text into a corresponding fusion vector; training a life significance sense detection model based on the fusion vector; and through the trained life significance sense detection model, detecting a fusion vector generated based on the social text. By adopting the method, the accuracy of life sense sense detection can be improved.

The application provides a sensitive component life detection method and system, and relates to the field of sensitive component life detection.The method comprises the following steps: recording the factory UTC time of a sensitive component and initial performance data at the factory; based on a preset timing monitoring period, acquiring the current UTC time and average performance data of the sensitive component in the timing monitoring period at the end of each timing monitoring period; adjusting the weight coefficient corresponding to different timing monitoring periods according to environmental data and sensitive component load parameters; performing weighted summation on the average performance data according to the weight coefficient to obtain a total integral value; when it is detected that the total integral value is greater than or equal to a preset integral threshold value or the variable value of the average performance data exceeds a preset amplitude threshold value, triggering alarm information that the life has reached the limit. By implementing the method, the performance change of the sensitive component under different environmental and load conditions can be dynamically responded, and the life end of the sensitive component can be more accurately predicted.

The application discloses a kind of solid waste fiber concrete fatigue life prediction method, belong to the technical field of concrete life detection;Including the following steps: step one: using solid waste to make concrete sample m parts, and the alkali activation is carried out to the concrete sample, the physical characteristics of concrete sample are measured;Step two: establish test environment, place concrete sample in test environment, according to cycle time, the property of concrete sample is measured, including n kinds of indexes, form data group;Step three: using data group as calculation data, data standardization is carried out, the calculation of information amount is carried out, and the constructed concrete life prediction model is input;Step four: by means of concrete life prediction model, the service life of concrete is obtained.The application adopts the above method, establishes concrete life prediction model, and the strength of concrete is predicted by the index change under simulated environment, and finally realizes the life prediction of concrete.

The utility model discloses an electric tail gate testing device, which belongs to the technical field of automobile part detection and comprises a support frame, driving motors are fixedly connected to two sides of the bottom of the support frame, and a tail gate module is movably connected to the inner side of the top of the support frame. The output end of the driving motor is fixedly connected with a driving gear ring, one side of the driving gear ring is provided with a driven gear ring, supporting rods are arranged on the portions, close to the two sides, of the bottom face of the tail gate module, and the portions, close to the two sides, of the interior of the tail gate module are fixedly connected with a set of connecting rings. The supporting rod is convenient to mount and dismount, the service life of the driving rod of the electric tail gate is convenient to detect, the detection efficiency is improved, the counterweight assembly is arranged, counterweight adjustment can be performed on the module, electric tail gates of different weights can be simulated, the service life of the supporting rod under different conditions can be detected, the detection range is expanded, and the detection effect is improved.

The utility model discloses a mechanical arm harmonic reducer bearing service life detection structure comprising a machine bench which is provided with a test board used for fixing a harmonic reducer and a driving motor in transmission connection with an input end of the harmonic reducer. A driving gear is arranged at the input end of the harmonic reducer and is in transmission connection with a driving motor, the output end of the harmonic reducer is connected with a rotating arm assembly, a counterweight assembly is arranged on the rotating arm assembly, and the rotating arm assembly comprises a connecting arm connected with the harmonic reducer. The balance weight assembly comprises a connecting arm and an adjusting arm arranged on the connecting arm in a sliding mode, the balance weight assembly is fixed to the adjusting arm, a plurality of positioning grooves are formed in the connecting arm in the length direction, and the positioning grooves are connected with the adjusting arm in a clamped mode so as to limit the adjusting arm to be kept at the current position.

The utility model provides a kind of light-emitting anklet main body flexural life detection machine, including workbench, mobile setting platform is set on workbench, and positioning slot is opened on platform, and first quick clamp is set on platform, and one side of platform is provided with clamping mechanism, and clamping mechanism includes lifting cylinder, and lifting cylinder's piston rod is provided with clamping cylinder, and the piston rod of clamping cylinder is provided with clamping block, and first arc slot is opened in clamping block.When testing, the locking sleeve and connecting rod of light-emitting anklet are placed in positioning slot, first quick clamp is pressed tightly locking sleeve, clamping block clamps one side of anklet, and moving platform moves away from the side of clamping mechanism, locking sleeve opens, lifting cylinder drives clamping block to open anklet upwards, and moving platform is further opened anklet in the direction perpendicular to connecting rod, when closing, moving platform is first close to lifting cylinder, then control lifting cylinder to close one side of anklet, finally moving platform drives locking sleeve to close, so repeated operation realizes to light-emitting anklet simulation flexural operation.

The invention relates to the technical field of resistor life detection, in particular to a real-time life detection method and system for a piezoresistor. The method comprises the following steps: dividing a current impact experiment of the piezoresistor into a plurality of time windows, obtaining a plurality of related parameters representing that the resistance performance tends to be degraded in each time window, and screening out direct detection parameters measured by an instrument in a resistance degradation process; according to the relevance between the direct detection parameter and the indirect detection parameter of the multiple related parameters, obtaining the relevance significance and reference factors of the two types of detection parameters; weighting processing is carried out on the direct detection parameters to obtain variation characteristic quantities of the piezoresistor tending to deteriorate in different time windows, a prediction model is constructed through the variation characteristic quantities constructed in a self-adaptive weighting mode, and residual life detection is carried out on the target piezoresistor which is in a running state at present by utilizing the prediction model, so that the residual life of the target piezoresistor is detected. According to the scheme, the accuracy of predicting the real-time residual life of the piezoresistor in the using process is improved.

A sensor coupled to a computer can sense a pressure of a buffer tank. A computer can determine a start of dispensing a beverage from a beverage dispenser. The computer can determine that an elapsed time from the start of dispensing the beverage reaches a predefined duration threshold. The computer can measure a particular pressure of the buffer tank when determining that the elapsed time reaches the predefined duration threshold. The computer can determine that the particular pressure falls below a predefined pressure threshold. The computer can generate an order to replace a water filter of the beverage dispense in response to the particular pressure at the elapsed time falling below the predefined pressure threshold.

The utility model relates to a gas spring service life detection device which comprises a transverse guide rail, a fixing block is fixed on the upper surface of the transverse guide rail, a first hook is fixed on the fixing block, and the transverse guide rail is provided with a transverse guide rail groove. A first sliding block and a first linear driving assembly used for driving the first sliding block to linearly move in the horizontal direction are arranged in the transverse guide rail groove, the first sliding block is in sliding fit with the transverse guide rail groove, a longitudinal guide rail is fixed to the first sliding block, and a longitudinal guide rail groove is formed in the longitudinal guide rail; the longitudinal guide rail is provided with a second sliding block in sliding fit with the longitudinal guide rail groove and a second linear driving assembly used for driving the second sliding block to linearly move up and down, and the second sliding block is fixedly provided with a second hook. The application range is wide.

This invention discloses a 3D-based oil pipeline life prediction system, relating to the field of pipeline life detection technology. It includes: a contour reconstruction module S11, used to acquire three-dimensional point cloud image data of the oil pipeline shell surface under actual operating conditions, and perform surface contour reconstruction processing based on the three-dimensional point cloud image data to extract spatial geometric structure data containing local deformation defect areas; a force-thermal coupling analysis module S12, used to construct a finite element analysis mesh based on the spatial geometric structure data, and load operating condition data into the corresponding mesh nodes to generate a force-thermal coupling stress field, wherein the operating condition data includes periodic internal working pressure values, temperature field data along the pipeline, and axial disturbance stress tensor; and a feature extraction module S13, used to calculate the equivalent stress distribution values ​​of the defect area nodes based on the force-thermal coupling stress field. This invention achieves accurate quantification of fatigue damage evolution in defect areas.

The invention relates to a multi-mode intelligent security check system, which comprises an application auditing system, a security check channel system and a monitoring system, wherein the security check channel system is provided with an alarm mechanism; the monitoring system is used for monitoring the application auditing system and the security check channel system; the security check channel system comprises a vehicle security check channel and a personnel security check channel which are provided with A and B doors and transmit information to the monitoring system, the vehicle security check channel is provided with a life detection system, a vehicle bottom scanning system and a vehicle driver checking system, and the personnel security check channel is provided with an article detection and storage system and a multi-stage second non-inductive face recognition system; the monitoring system comprises a police officer monitoring unit, an armed police monitoring unit and a remote monitoring unit which are all provided with monitoring terminals. The monitoring terminals monitor the application auditing system and the security check channel system and give out corresponding instructions when abnormity is found according to received information. According to the invention, safe and efficient security check can be realized, information synchronization of multiple departments is realized, and the working efficiency is improved.

The invention discloses a spectral resolution parallel fluorescence lifetime scanning imaging system, and aims to solve the problems of lack of spectral resolution and slow imaging speed in the conventional fluorescence lifetime scanning imaging technology. The system comprises an exciting light module, a scanning imaging module and a spectral resolution life detection module, the exciting light module generates exciting light with specific repetition frequency; the scanning imaging module is used for realizing relative position mobile scanning of exciting light and a sample and separating to obtain a fluorescence signal; the spectral resolution lifetime detection module adopts a multi-channel photoelectric detector to detect fluorescence of different wavelengths at the same time so as to realize parallel fluorescence lifetime measurement. According to the invention, rapid measurement of spectral resolution fluorescence lifetime imaging is realized, the system has the advantages of high time resolution, high spatial resolution and multifunctional measurement, the system structure is simple, the cost is low, and an ideal tool is provided for imaging research such as biomedicine, chemical analysis and environmental monitoring.

The utility model discloses a bicycle belt life detector which comprises a base and a power mechanism, a first wheel carrier and a second wheel carrier are fixedly installed on the base, a first belt pulley is rotatably installed on the first wheel carrier, a second belt pulley is rotatably installed on the second wheel carrier, and a belt to be detected is installed between the first belt pulley and the second belt pulley in a transmission mode. A tensioning mechanism is installed between the first wheel carrier and the second wheel carrier and comprises a tensioning wheel which is installed in a rotating mode, the tensioning wheel makes contact with the belt face of a belt to be detected to achieve the tensioning effect, a flywheel is fixedly connected to the first belt wheel, and the power mechanism is installed on the base and is in transmission connection with the flywheel. A belt to be detected is installed through the belt pulley, speed change adjustment is achieved through the flywheel structure, and the bicycle belt life detection device can simulate different working conditions when the bicycle belt runs so as to meet the requirement for life detection of the bicycle belt.

The invention provides a vertical rescue probe radar life detection system and method, and belongs to the technical field of radars, the vertical rescue probe radar life detection system comprises a radar probe, the radar probe is used for detecting trapped persons in an underground roadway, and the radar probe comprises a vertical rescue radar and a cylindrical metal probe; the cable reel is used for laying down the radar probe from the vertical shaft on the ground, and the cable reel is connected with the radar probe through a cable; the ground processing display terminal is used for processing and displaying data and results detected by the radar exploring tube; the radar probe tube is connected with the ground processing display terminal through wireless communication, the radar probe tube is simple and compact, and therefore the radar probe tube can be applied to small-diameter drill hole vital sign detection, and low-power-consumption detection can be adopted during detection.