4results about How to "Work coordination" patented technology

The invention provides a multi-node collaborative radar induction lamp intelligent deployment method and device, and relates to the technical field of multi-node collaborative analysis, and the method comprises the steps: collecting and obtaining a regional three-dimensional map of a target region, and carrying out the layout of K radar induction lamps; performing proximity induction lamp detection to generate K pieces of proximity induction lamp detection information; defining graph connection attributes, and establishing an induction lamp node topological structure; performing moving target sensing to obtain K moving target sensing data; performing density grade division to obtain density grade data of K moving targets; uploading to a data processing center, and carrying out multi-node collaborative analysis to obtain a multi-node collaborative management scheme; and the information is issued to K radar induction lamps for illumination management and induction management. According to the invention, the technical problem of insufficient illumination or energy waste caused by the fact that each induction lamp in the deployment of the radar induction lamp in the prior art normally works independently and cannot be cooperatively adjusted according to the state of the adjacent induction lamp is solved.

This invention discloses a deep learning-based surgical quality assessment method and system, relating to the field of medical information. The method includes: acquiring preoperative three-dimensional images and generating a surgical operation space baseline map using a first deep neural network; continuously acquiring real-time instrument pose data and high-definition video frame sequences of the surgical area tissue during surgery; using a spatiotemporal attention mechanism for dynamic registration to construct an instrument-tissue interaction spatiotemporal feature set; calculating instrument operation standardization scores and tissue processing accuracy scores using a second deep neural network; acquiring postoperative physiological recovery indicators; inputting the two scores and indicators into a causal inference model to quantify their respective marginal contributions and generate a comprehensive quality assessment index; and outputting a graded assessment conclusion based on the comparison results of this index with multi-level thresholds. This invention achieves an objective, interpretable, and clinically predictive quantitative assessment of surgical quality by integrating data from the entire chain of preoperative planning, intraoperative operation, and postoperative recovery.

The utility model provides a poisonous gas detector with a filtering structure, which belongs to the technical field of detectors and comprises a shell, a control mainboard and a detection module electrically connected with the control mainboard are arranged in the shell, an air inlet is arranged at one end of the shell, a filtering component, a delivery pump and a detection probe are arranged on one side of the air inlet, and the detection probe is arranged on the other side of the air inlet. The filtering assembly comprises two groups of filtering columns connected in parallel, an outlet of the filtering assembly is connected with an inlet of the conveying pump, an inlet of the filtering assembly is connected with an air inlet pipeline through the switching assembly, an outlet of the conveying pump is connected with the detection probe, and the detection probe is electrically connected with the detection module. According to the device, two groups of filtering columns which are connected in parallel and a switching assembly are arranged, so that a user can select a proper filtering column to filter gas according to components of toxic gas in different detection environments; and the adaptability of the device is improved.

The present invention belongs to the technical field of crystallization kettles, and in particular, relates to a size design method and system for a continuous freezing crystallization kettle, including: determining the production target information of materials in each partition in the continuous freezing crystallization kettle, the production target information is based on the set material state at the inlet and outlet of the continuous freezing crystallization kettle; establishing the association relationship between each partition; establishing a size association model for each partition according to the association relationship, training and optimizing the size association model; applying the size association model to the size scheme prediction of the continuous freezing crystallization kettle. In the present invention, the size of each partition is reasonably designed, which is helpful to control the growth rate and quality of the crystal, avoid the problem of uneven crystal growth, ensure that each functional partition can work in coordination, improve the heat exchange efficiency through optimized size design, comprehensively consider factors such as material properties, operating conditions and expected output, design the optimal kettle size, and improve the overall performance and economy of the equipment.