9results about How to "Real-time detectability" patented technology

The utility model discloses LED lamp strip production electric feeder's anti -sticking device of material, including base and install on the base and material discharge mechanism, guide material frame and anti -sticking detection mechanism, the material discharge mechanism includes material discharge roller and brake stop mechanism, brake stop mechanism installs to the base is used for to material discharge roller and carries out brake stop, anti -sticking detection mechanism includes support frame, square channel, two lower roller and pressure sensing piece. The utility model discloses through setting pressure sensing piece realizes the real -time detection to the tension change of the flexible backplate strip of the output end part of whole material feeding mechanism, and transmission to controller, according to the tension change, judges the tape jam failure, and realizes automatic shutdown control, and utilizes vertical cylinder and drives friction block to realize to material discharge roller and carries out brake stop to realize the device with tape jam failure of equipment realizes real -time detection and reaction, reduces the loss, and wide adaptability range simultaneously, and effectively reduce the inertia of equipment, reduce the advantage of loss.

The invention discloses a tension testing device for cable detection, and relates to the field of tension testing devices, the tension testing device comprises a testing rack, the testing rack is movably provided with a testing pull-up seat, and the testing pull-up seat is provided with a pull-up clamp; the device further comprises a cable position detection device, and the cable position detection device is installed on the test rack. It needs to be explained that in the embodiment of the invention, sudden stop is triggered through mechanical swing of the cable holder, the skew fault can be identified in the initial stage, the tension coaxiality deviation caused by skew cable clamping and deformation and sinking of the pull-up seat is avoided, and the major safety accident of cable collapse is effectively avoided; according to the cable tension test device, the test data distortion caused by such factors is eliminated, the accuracy and repeatability of a cable tension test result are ensured, meanwhile, through reverse mechanical triggering, real-time detection and sudden stop of tiny deformation and sinking of the pull-up seat are realized, and hidden safety hazards are eliminated in advance.

The application discloses a kind of based on ranking learning's SDN data plane low-rate DDoS attack mitigation method, belong to network security field.The method includes: based on OpenvSwitch switch, polling SDN switch flow table and extracting flow table entry, form original data;Feature sextet and identification of extracting flow table entry are combined with source IP address etc.Information, mark correlation label and query ID for flow table entry;Adopt integrated learning XGBoost method, based on Pairwise, establish flow table entry ranking learning model, and deploy on SDN switch;Attack mitigation system on switch real-time monitoring whether flow table overflow caused by DDoS attack has occurred;If attack occurs, ranking learning model predicts the ranking score of each flow table entry, and rearranges flow table according to ranking score descending order, sets attack detection threshold, finally traverses flow table entry from top to bottom, decides which flow table entry should be deleted.The application has high detection rate for data plane low-rate DDoS attack, low false alarm rate and miss rate, strong adaptability, rapid and effective mitigation.

The invention provides a Kubernetes application deployment security detection and repair method and system based on an RAG mechanism, and the method comprises the steps: S1, obtaining a resource list file of Kubernetes, and obtaining structured configuration data through grammar analysis; s2, key security fields of the structured configuration data are extracted and subjected to semantic characterization processing; and S3, constructing a security knowledge index database based on the key security field, performing real-time dynamic retrieval and obtaining a corresponding retrieval knowledge result, and further enabling the large language statement model to generate a corresponding repair scheme report and deploy repair configuration according to the retrieval knowledge result and the structured configuration data. According to the method, external knowledge dynamic retrieval is realized based on retrieval enhancement, repeated training of the model is avoided, and real-time, semantic and interpretable automatic detection and repair are provided.

The name of the utility model is a plastic package device with NTC. Belongs to the technical field of plastic package device manufacturing. The plastic package device mainly solves the problem that the existing plastic package device is not provided with temperature protection and is easy to damage due to overheating in the use process. The utility model is mainly characterized by comprising a frame, frame pins connected with the frame, a chip and an NTC (Negative Temperature Coefficient) resistor which are arranged on the frame, and a plastic package body for packaging the frame, the chip, the NTC resistor and part of the frame pins, wherein the chip is electrically connected with the frame pins through metal wires; the NTC resistor is arranged on the frame, the frame pins comprise resistor frame pins corresponding to the NTC resistor, and the NTC resistor is electrically connected with the resistor frame pins through metal wires. The over-temperature protection circuit has the characteristics of carrying out temperature detection and over-temperature control on a device in real time and realizing over-temperature protection on a product and a used circuit, and is mainly used for plastic package devices.

This invention discloses a horizontal panoramic UAV detection method and system based on a rotating event camera. The method includes acquiring an event stream containing UAV information captured by an event camera mounted on a rotating platform; preprocessing the event stream into multiple event groups within consecutive fixed time intervals; generating image-like representations for each event group; constructing input features by inputting the image-like representations of all event groups; inputting the input features into a pre-trained spatiotemporal fusion detection network to obtain detection results, including the detection bounding box and target confidence of the UAV target; and estimating the relative azimuth angle of the UAV based on the detection bounding box and the attitude of the event camera on the rotating platform. This invention aims to provide an all-around (360°) horizontal field of view for the event camera, enabling real-time and reliable detection and azimuth estimation of UAVs, meeting the practical needs of dynamically deployed scenarios.

The utility model provides a kind of laser positioning device of hoist and conveying line junction, it is related to equipment positioning device technical field, including integrated PLC controller and reflector, the side of integrated PLC controller is equipped with electromagnetic suction plate, the side of integrated PLC controller away from electromagnetic suction plate is equipped with laser receiver array board, the side surface of integrated PLC controller where laser receiver array board is located is connected with laser body by laser support.The utility model utilizes high sensitivity laser reflection and array receiving technology, combined with the rapid operation and control ability of PLC, realizes dynamic, real-time, high-precision spatial position closed-loop detection and automatic correction between hoist and conveying line, ensures that material can be smoothly, accurately and efficiently transferred at the handover point of the two, and alleviates the problems of large cumulative error, long adjustment time, easy collision or jamming and other problems existing in traditional mechanical limiting or manual visual positioning mode.

This invention relates to a method for regulating zirconium-based metal-organic framework nanoparticles using carboxylated cellulose nanoparticles. This method utilizes carboxylated cellulose nanoparticles, a green and environmentally friendly material, as a defect modulator, and obtains UiO-66-OH with tunable defect levels via an in-situ one-pot synthesis. Using carboxylated nanoparticles as a nano-soft template, carboxyl competitive ligands, and surface-assisted growth medium, the method induces the heterogeneous nucleation and explosive growth of UiO-66-OH crystals into nanospheres. Precise defect regulation is achieved through the precise competitive coordination of carboxyl groups and zirconium ions. While achieving defect regulation and ensuring stability, background fluorescence is modulated through the disruption of intramolecular charge transfer (ICT). This provides a solid research foundation for the regulation of defective metal-organic framework materials and their bio-friendly applications.

The invention discloses a lightweight garbage detection method and system based on an improved YOLOv11s model, and the method comprises the following steps: S1, only employing a monocular camera, and obtaining the RGB image data of a road through the monocular camera; s2, cutting the acquired image data, cutting off the upper half part of the road image, and keeping key information related to a ground area below the image; and S3, calling an improved YOLOv11s network model, inputting the preprocessed image into the network model, then starting a detection code to carry out image reasoning detection, and drawing a detection result on the image to obtain result image data containing junk bounding box coordinates, junk categories and detection confidence information. According to the method, garbage in complex environments such as urban roads, green belts and community scenes can be efficiently detected and recognized in real time at low cost, and particularly, the detection performance of small-size target garbage is excellent.