8results about How to "Resolve exception" patented technology

The invention relates to the technical field of nuclear power construction, in particular to a nuclear island pipeline simulation installation method and system based on a digital system, and the method comprises the steps: obtaining nuclear island region information and installation demand information, and determining nuclear island structure information, region environment parameters and pipeline distribution information according to the nuclear island region information; constructing a pipeline area model of the nuclear island pipeline based on the nuclear island structure information, the area environment parameters and the pipeline distribution information; and performing suitability analysis on the pipeline area model according to the installation demand information to obtain a target installation point location and an optimal installation scheme, thereby improving feasibility and reliability of nuclear island pipeline installation.

The invention relates to a visual closed-loop detection method, system and device for an automatic filling and sealing production line in the technical field of flexible filling and sealing automatic production lines, a hyperspectral camera and a 3D visual camera are adopted for data acquisition of a calibration information base, respective mathematical models are established, a coupling model is constructed, and finally whether the product is a qualified product or not is judged. Through multi-dimensional data fusion of the hyperspectral camera and the 3D camera, synchronous detection of spectral features and three-dimensional structure parameters of the potting layer is realized, single-dimensional judgment of traditional manual visual inspection is upgraded to multi-modal composite analysis, the detection precision and reliability are greatly improved, and particularly, whether a potting adhesive of a potting product is cured or not can be accurately judged.

The invention provides an image expansion method and electronic equipment, and the method mainly comprises the steps: removing a watermark in an image before the image is expanded, and carrying out the image expansion on the image after the watermark removal on the basis, thereby avoiding the problems that only a watermark region is expanded, the watermark is blurred, the watermark position is abnormal and the like in the image expansion process, and improving the image expansion efficiency. And after image expansion is completed, adding the watermark into the expanded image again to obtain a final image. According to the scheme, various abnormal problems possibly occurring when the image containing the watermark is subjected to the image expansion operation can be fundamentally solved, and the image expansion effect of the image containing the watermark is improved.

The application discloses a board card state monitoring method and system, electronic equipment and medium, and relates to the technical field of board cards, which comprises the following steps: dividing a register address interval according to the information category of a to-be-monitored board card, setting one information management module corresponding to each address interval, connecting the same category of monitoring signals of the to-be-monitored board card into the same address interval, collecting the monitoring signals related to the information category and generating a state code in response to the in-place information of the to-be-monitored board card, and then comparing the state code with a preset condition by a BMC to output the state of the to-be-monitored board card. The application can accurately and quickly obtain the information of a problem board card in the case that there are many to-be-tested board cards, thereby effectively improving the efficiency of locating the position and fault cause of the problem board card.

This application discloses a method, apparatus, device, and medium for detecting photovoltaic anomalies. The method includes: acquiring irradiance correlation data and power generation data of a target user during a testing period; determining a target period category based on the irradiance correlation data of the target user during the testing period and at least two pre-determined period categories; and determining whether the target user's photovoltaic equipment is abnormal based on the power generation data of the target user during the testing period and power generation data matching the target period category. This technical solution solves the problem that staff can only discover photovoltaic equipment anomalies after a significant decrease in power generation, enabling timely detection of abnormal photovoltaic equipment and ensuring the power generation efficiency of users.

The application discloses a kind of unmanned aerial vehicle nest charging control method, device and related medium, the method includes the multiple layer of the nest layer position configuration data is divided into at least two mutually exclusive charging group, and the battery capacity information of the unmanned aerial vehicle in empty and the unmanned aerial vehicle in nest is collected respectively and the unmanned aerial vehicle state is updated, and initial landing scheduling data is obtained by integration;Initial landing scheduling data is checked to layer position occupation state, and final landing scheduling data is obtained;Accordingly, the charging layer list of this round is generated and mutual exclusion verification operation is executed, and anti-interference charging control data is obtained;Anti-interference charging control data is periodically polled, and charging polling synchronization data is obtained.The final landing scheduling data generated by calculation in the application generates anti-interference charging control data, and anti-interference charging control data is periodically polled, and charging polling synchronization data is obtained, so that the coupling interference caused by simultaneous charging of adjacent layers in unmanned aerial vehicle nest can be effectively avoided.

The invention discloses an unmanned aerial vehicle remote control method, device and equipment and a medium, and relates to the technical field of communication, and the method comprises the steps that ground communication equipment obtains an original remote control frame from a control station; the original remote control frame comprises a first timestamp when the control station generates the original remote control frame; and after the original remote control frame is verified to be normal based on the to-be-verified field, triggering a preset frame sending operation so as to add a second timestamp when the operation is triggered to the original remote control frame to obtain a first remote control frame, and sending the first remote control frame to airborne communication equipment carried by the unmanned aerial vehicle, and when the second remote control frame is verified to be normal based on the to-be-verified field and the timestamp, the unmanned aerial vehicle is controlled to respond to the second remote control frame. The time synchronization of the control station, the ground communication equipment and the airborne communication equipment is kept based on the global navigation satellite system, and the transmission reliability of the remote control frame is improved in combination with remote control frame abnormity verification.

This application discloses a method, apparatus, and testing equipment for detecting the operating status of a ventricular assist device (VAD), belonging to the field of medical device technology. The VAD includes a drive device and an interventional pump. The drive device drives the interventional pump. The method includes: acquiring current data of the drive device in its operating state; when the current data indicates an increase in the load on the drive device, classifying and identifying the operating status of the VAD based on the changes in the current data over a first time period; and issuing an alarm message corresponding to the identification result, whereby the identification result indicates an abnormal operating state causing the increased load. This method, without relying on medical imaging equipment, promptly indicates the cause of the abnormal load increase, achieving automatic identification of abnormal operating states, reducing safety risks and protecting the life of the patient, and reducing radiation damage to the human body from the operation of medical imaging equipment.