12results about How to "Improve detection rate" patented technology

This invention discloses an air conditioning device that determines the initial and equilibrium temperatures of a power module; controls the compressor's operating state to ensure the IGBT output current has a relative zero temperature coefficient; determines the total power module losses at the equilibrium temperature based on the IGBT's relative zero temperature coefficient parameters; acquires the thermal resistance of the inverter driver and refrigerant radiator, and determines the theoretical temperature based on the thermal resistance and total losses; determines the theoretical temperature rise based on the theoretical and initial temperatures, and determines the measured temperature rise based on the equilibrium and initial temperatures; determines the deviation value based on the theoretical and measured temperature rises; acquires the standard deviation value, and compares the deviation value with the standard deviation value to determine whether the refrigerant radiator is qualified. The air conditioning device can intelligently assess the reliability of the refrigerant radiator and its installation.

Embodiments of the application disclose a kind of distributed communication signal detection method, device and system based on generalized likelihood ratio, wherein the method is applied to fusion center, comprising the following steps: S1: receiving the observation data transmitted by multiple receiving nodes; S2: under the assumption that radiation source does not exist and radiation source exists, respectively construct the joint conditional probability density function of all observation data of all receiving nodes within the observation time; S3: adopt NP criterion to construct the expression of generalized likelihood ratio test statistic; S4: according to maximum likelihood criterion, estimate the covariance matrix in the joint conditional probability density function under the assumption of two kinds; S5: the estimated value of the covariance matrix under the assumption of two kinds is substituted into the expression of generalized likelihood ratio test statistic, and compared with the decision threshold set according to false alarm probability, to complete distributed communication signal detection. The application can improve the detection probability of communication signal under low signal-to-noise ratio, and has good noise resistance when there is noise fluctuation in different receiving nodes.

The utility model relates to microswitch detection device technical field, especially for a microswitch detection device, including device main part, device main part one side fixed connection microswitch, front is equipped with controller, the bottom of device main part is equipped with detachable magnetic attraction subassembly, the device main part extends adjustable detection arm, the detection arm end is equipped with contact type detection head and laser ranging sensor utility model discloses through laser ranging sensor real -time monitoring press displacement, combines the contact signal of three -jaw type detection head, only when both satisfy the condition simultaneously judges as effective trigger, the misjudgment rate reduces, three claw floating structure ensures that even detection head and switch surface exist inclination, still can keep stable contact, avoid the misjudgment that single point stress uneven leads.

This invention relates to a target detection method against a sea and sky background, comprising: classifying the visibility of an acquired field-of-view image against a sea and sky background, wherein the visibility levels include poor, moderate, and good; images with poor visibility are classified as difficult samples and not subject to target detection, while images with moderate and good visibility are subject to subsequent target detection; on the sea-sky line in the moderate and good visibility field-of-view images, a target search region is extracted near the sea-sky line to detect targets that are difficult to distinguish with the naked eye and require recording with an optical detector; target edges are extracted in the extracted target search region; after the target edges are extracted, image segmentation is performed according to the target edges to obtain the target image. This invention improves the detection probability by classifying the visibility of the sea and sky background, performing target detection on images with moderate and good visibility, and performing subsequent target detection on images with moderate and good visibility.

A method and apparatus for detecting objects, particularly distant objects within a field of view (FOV), using light pulses with non-uniform pulse power without exceeding the Accessible Emitted Limit (AEL) is provided. Multiple light pulses comprising two or more pulse power levels can be emitted to detect objects within the FOV. Information related to the objects can be generated from the returned light pulses. The light pulses with non-uniform pulse power can improve the probability of detection of pulses returned from the distant objects, thus increasing the point cloud density of distant objects.

A defect detection method and a defect detection apparatus are provided. The defect detection apparatus is used to detect a sample including a periodic structure. The defect detection apparatus includes a light source, an image detector and a controller. The light source is used to provide a light beam incident on the periodic structure, wherein the periodic structure converts the light beam into an interference light beam. The image detector is disposed in a path of the interference light beam, wherein the interference light beam forms an interference intensity distribution on the image detector. The controller is electrically connected to the image detector, and is used to determine whether the periodic structure has a defect by determining whether the interference intensity distribution has a normal waveform.

A device, method, and computer equipment for detecting internal and external microcracks in blades are disclosed. The device includes a projector stabilization mechanism; an infrared camera mechanism, a first industrial camera mechanism, and a second industrial camera mechanism, arranged circumferentially and connected to the projector stabilization mechanism for adjusting camera yaw and rotational degrees of freedom; and a connecting component for connecting the projector stabilization mechanism and a robotic arm. The method includes: adjusting the detection positions of the projector, infrared camera, and industrial cameras; developing a segmented image information acquisition scheme based on the non-destructive blade at the detection position; capturing infrared thermal images, visible light images, and 3D point cloud images of the blade to be detected using the set acquisition scheme to obtain a 3D information dataset for a single blade; and inputting the information dataset into a microcrack detection model to detect and distinguish internal and external microcracks in the blade to be detected. This invention features a compact structure, high detection efficiency, and reduced false detection rate.

This application relates to a sample introduction module and a single-molecule immunoassay analyzer including the same. The sample introduction module comprises 2 to 4 sample racks, each arranged parallel to each other in the vertical direction and having the same structure. Each sample rack includes a microplate, a stage, and a linear reciprocating motion mechanism. The linear reciprocating motion mechanism includes a linear guide rail, a drive mechanism, a drawer slide rail, a synchronous belt, a drive wheel, a driven wheel, and a zero-position sensor. The single-molecule immunoassay analyzer includes a sample introduction module, a detection module, an incubation module, and a reagent processing module. The sample introduction module of this application can effectively reduce the size of the module while ensuring sample storage capacity. The single-molecule immunoassay analyzer of this application has a high degree of automation, a compact structure, low operation difficulty, and improved detection efficiency, reaching over 90 tests / hour.

This invention relates to the field of low-altitude security and discloses an intelligent identification and counter-jamming system for low-altitude aircraft. The system includes a radar detection module, a radio detection module, a data fusion module, a data processing module, and an early warning and countermeasure module. Through coordinated radar and radio detection, it acquires the micro-motion, trajectory, and signal fingerprint features of the target. Then, using a pre-trained UAV identification model, it performs in-depth analysis and time-series verification on the fused multi-dimensional features to achieve high-confidence UAV identification, model identification, and threat level assessment. Finally, based on a dynamically calculated comprehensive threat index, it initiates a countermeasure process including dynamic review and effect evaluation, capable of adaptively selecting and switching countermeasures to achieve precise, layered, and effective handling of suspicious UAVs. This invention solves the problems of low identification accuracy, high false alarm rate, and rigid and singular countermeasures in existing technologies, thus improving the effectiveness of low-altitude security.

This invention proposes a multi-channel radar target detection method based on signal-to-noise ratio (SNR) weighted fusion. The implementation steps are as follows: initializing a multi-channel radar target detection system; calculating local test statistics for each radar channel and performing a monotonic transformation; calculating the SNR weighted value for each local test statistic for each radar channel; calculating the global threshold of the multi-channel radar target detection system through a signal fusion center; and obtaining the target detection result. In this invention, the signal fusion center performs weighted fusion of the local test statistics of the multi-channel radar using the SNR weighted value of each radar channel to obtain the global test statistics. When the local test statistics have the same distribution, the global test statistics contain both local test statistics information and SNR information. When the local test statistics have different distributions, the global test statistics contain both local test statistics and SNR information, reducing information loss and effectively improving the detection probability.

This application relates to the field of image recognition technology, and in particular to a method and system for detecting heat-sealing anomalies in industrial heat-sealing equipment. The method includes: acquiring the temperature matrix of the heat-sealing area of ​​the industrial heat-sealing equipment; extracting spatiotemporal feature information from the temperature matrix; training a dynamic temporal model based on the spatiotemporal feature information; using the dynamic temporal model to detect the real-time temperature matrix to determine whether abnormal pixels exist; if so, clustering and morphological processing are performed to determine whether heat-sealing anomalies exist. This application effectively overcomes the temperature baseline drift problem caused by factors such as equipment preheating, workshop airflow, and changes in ambient temperature, avoiding the high false alarm rate of traditional methods; and solves the problem of difficulty in collecting negative samples covering all defect types in industrial settings. While ensuring low resource consumption and high real-time performance, it significantly improves the accuracy, robustness, and generalization ability of detecting heat-sealing anomalies in industrial heat-sealing equipment.