12results about How to "Shorten judgment time" patented technology

The invention relates to an artificial intelligence-based electronic data processing device applied to the technical field of artificial intelligence, and the device comprises a data base station, a patrol robot and an intelligent controller, the data base station comprises a device support on which a plurality of electronic data processing assemblies are installed, and the intelligent controller is provided with a buzzer. The patrol robot is provided with a mechanical claw, the mechanical claw is provided with a tool cavity assembly and monitoring equipment, the intelligent controller is provided with a patrol module, a detection module, a maintenance module and an alarm module, the patrol module controls the patrol robot to patrol the data base station, and after the patrol robot arrives at a set position, the maintenance module is started; the detection module controls and detects various numerical values of the electronic data processing assembly, if abnormal data are detected, the maintenance module carries out preliminary maintenance on the electronic data processing equipment, and if the data are still abnormal, a signal is sent to the alarm module to control the buzzer to give an alarm and inform maintenance personnel to eliminate hidden dangers, so that the effects of safety and high efficiency are achieved.

The invention belongs to the technical field of battery manufacturing, and particularly discloses a method for rapidly testing the stability of lithium ion battery slurry, which comprises the following steps: adding a solvent into the slurry after slurry mixing, diluting through primary centrifugation, stopping suspension when the suspension appears, and then reducing the rotating speed for secondary centrifugation; and respectively testing and drawing kinetic index TSI curves of the mixed slurry and the slurry subjected to secondary centrifugation, and comparing the two curves to judge the stability of the slurry. The time for judging the stability of the lithium ion battery slurry can be shortened, the operation is simple, and the practicability is high.

The invention discloses an ultra-low power consumption pressure plate position monitoring lora networking method, and relates to the field of pressure plate monitoring, the first step is that a sensor module, a Lora host and a cloud platform are in signal connection in sequence, the second step is that the sensor module is installed at a pressure plate for monitoring the position of the pressure plate, and the third step is that when the sensor module is in signal connection with the Lora host for the first time, the sensor module is installed at the position of the pressure plate for monitoring the position of the pressure plate. The method comprises the following steps of: performing communication interaction with a Lora host, performing importance arrangement on each sensor module according to pressing plate positions with different importance, and performing importance arrangement on each sensor module in a primary position, a secondary position and an irrelevant position in sequence by arranging a plurality of sensor modules and performing importance grade division on the pressing plate positions monitored by the sensor modules; and the Lora host preferentially judges which sensor modules need to be transmitted to the cloud platform preferentially, so that personnel can carry out first priority operation and monitoring conveniently, and greater loss is avoided.

The invention discloses a pest image annotation algorithm based on visual and priori knowledge fusion, and relates to the technical field of image data processing, the priori knowledge and processed image data are fused, and pest image features in the image data are extracted and annotated by using a feature annotation algorithm. According to the pest image annotation algorithm based on visual and priori knowledge co-fusion, priori knowledge and processed image data are fused, pest image features in the image data are extracted and annotated by using a feature annotation algorithm, and a pest detection large model is established; and the labeled image data is introduced into the pest detection large model for training and optimizing model parameters, so that the high-precision pest detection large model is developed, the recognition efficiency and precision are improved, rich training resources are provided for a pest recognition algorithm, and the operation effect of pest image labeling is better.

This invention relates to an endoscopic surgical navigation method and device based on video image augmented reality. The method includes: segmenting the key surgical areas of interest and selecting anatomical landmarks from preoperative CT images; installing passive tracking tools on the patient's surgical site and the endoscope; registering the real patient with a 3D model using calibrated probes and anatomical landmarks; calibrating the endoscope parameters under the navigation system; determining the transformation matrix of the passive tracking tool coordinate system relative to the endoscope coordinate system; projecting and rendering the 3D model of the preoperatively segmented key surgical areas of interest using a pinhole model simulation and processing it with distortion parameters to obtain a virtual image; and fusing the virtual image with images acquired in real time by the endoscope and displaying it. Compared with existing technologies, this invention fuses virtual images with real endoscopic images and presents them on the same screen, reducing the surgeon's intraoperative judgment time and lowering the difficulty of hand-eye coordination.

This invention relates to the field of intelligent monitoring technology for cold chain logistics, specifically to a method and system for handling abnormal temperature and humidity in refrigerated trucks. The method includes: real-time acquisition of multi-dimensional spatiotemporal temperature and humidity data via a multi-node wireless sensor network deployed within the truck compartment; extraction of temperature and humidity trends, fluctuation characteristics, and spatial distribution differences to construct a thermal environment state feature vector for the refrigerated truck; inputting this state feature vector into an abnormal warning model based on isolated forests and gated loop units to predict and identify potential refrigeration system failures, abnormal cargo respiration heat, or truck compartment sealing failures; and, based on the warning level, driving local audible and visual alarms and automatically adjusting refrigeration unit parameters via an edge computing gateway, and pushing the warning information and handling suggestions to a remote monitoring center and the driver's terminal via an IoT communication module. This invention improves the safety and energy efficiency of goods transported in cold chain logistics.

The invention relates to the technical field of power distribution room operation and maintenance, and provides an acousto-optic warning device for power failure and power transmission of switching operation of a power distribution room, which integrates a microcomputer five-prevention locking system, a controller, an acousto-optic alarm device and a light flickering device. The switch state of a power distribution room is monitored in real time through the sensor module, after data are preprocessed through the controller, risks are evaluated through a machine learning early warning model, when danger is found, the controller immediately starts sound-light alarm and light flickering, a microcomputer five-prevention locking system is synchronized, and accurate transmission of operation instructions is improved. The device effectively solves the problems of high possibility of wrong interval and high misoperation risk in power failure and transmission operation of a power system, and remarkably improves the operation safety and efficiency, reduces the misoperation probability and enhances the system reliability through acousto-optic dual reminding and tight synchronization with a locking system. The system is reasonable in design and easy to install and maintain, provides powerful technical support for safe and stable operation of a power system, and has wide application prospects and practical value.

This invention provides a small-diameter TBM turning monitoring method and system for operators, relating to the field of TBM tunneling technology, including: S1, during the turning tunneling stage, acquiring the target turning radius, shield length, shield end face radius, and tunneling mileage of the TBM equipment, and solving the expected stroke value of each cylinder at the tunneling mileage using a rigid body kinematics model; S2, based on the distribution of cylinders on the shield end face, dividing the shield end face into four overlapping virtual functional surfaces, calculating the average expected stroke value of each virtual functional surface using the expected stroke value, and applying directional constraints according to the current turning direction of the TBM equipment and a preset redundancy to generate a surface threshold for each virtual functional surface; S3, detecting whether there are abnormal fluctuations in the actual stroke value of the cylinders according to the preset threshold, if so, proceeding to step S4; S4, calculating the stroke characteristic quantity of the virtual functional surface based on the actual stroke value, comparing the stroke characteristic quantity with the surface threshold to achieve risk visualization.

The utility model discloses a detection device, which comprises a support frame, a guide rail assembly, a detection tool and a display device, and is characterized in that the guide rail assembly is arranged at the top end of the support frame; the detection tool is arranged on the guide rail assembly, the detection tool can slide on the support frame through the guide rail assembly, and the detection tool is used for placing a product to be detected; the display device and the support frame are arranged at an interval, the display device is aligned with the ear canal hole of the product to be detected, and the display device is used for acquiring and displaying an amplified image of the ear canal hole of the product to be detected. According to the detection device, the burr detection efficiency can be improved, and the omission ratio of the to-be-detected product can be reduced.

The invention relates to the technical field of power system safety monitoring, and provides an intelligent power fire early warning system with a self-learning capability, which comprises a field sensing layer, a gateway layer, a server layer and an interaction layer, the field sensing layer comprises an electrical parameter acquisition module, a thermal parameter acquisition module and a fault feature acquisition module; the gateway layer comprises a data acquisition module which is responsible for collecting, converting, synchronizing and uploading data of each sensor of the field sensing layer; the server layer comprises a data processing module, a feature extraction module, a historical database, a self-learning analysis module, a disposal suggestion generation module and a man-machine interaction interface; the interaction layer comprises a linkage control interface and a user terminal. According to the invention, through two key technologies of multi-parameter fusion and closed-loop self-learning, two core defects of single monitoring dimension and static stiffness of an early warning model of a traditional power fire early warning system are fundamentally solved.

The invention discloses a vehicle signal warning method, device and equipment and a storage medium. The method comprises the following steps: acquiring a vehicle signal; generating current signal feature information of the vehicle signal; obtaining a target alarm rule corresponding to the current signal feature information based on a preset corresponding relationship between signal feature information and an alarm rule; and giving an alarm by using the target alarm rule. According to the embodiment of the invention, the vehicle signal does not need to be compared and judged with each warning rule one by one, the processing time is shortened, and quick response warning is realized.

The embodiment of the invention provides a target motion state processing method and device, a storage medium and an electronic device, and the method comprises the steps: determining the ground speed of a detection target detected by detection equipment based on the motion parameters of the detection equipment on a current vehicle in the operation process of the current vehicle; when the detection target is in the static state, the ground speed of the detection target is continuously detected, whether a first switching condition is met or not is judged, and the first switching condition is the switching condition that the detection target is switched from the static state to the moving state; under the condition that the first switching condition is met, the target state of the detection target is switched to a to-be-determined motion state, and the to-be-determined motion state is the state of the motion state of the current vehicle to be determined; based on the ground speed of the detection target, the target state of the detection target is switched from the undetermined motion state to one motion state in a preset motion state set, and the motion states in the motion state set are all non-static states.