24results about How to "Achieve intervention" patented technology

The invention relates to a bread fermentation monitoring, regulating and controlling method and device. The method comprises the steps that dough starts to be fermented, and the fermentation starting time is recorded; detecting the environment of the fermentation chamber, and adjusting the environment parameters of the fermentation chamber according to a preset fermentation mode; environment detection is conducted on the fermentation chamber regularly, and if the temperature or humidity in environment detection deviates from a preset value, a temperature and humidity control system is started to adjust environment parameters of the fermentation chamber; continuously monitoring the temperature change in the dough fermentation process by utilizing infrared thermal imaging, and monitoring the volume change of the dough through a camera sensor; monitoring data are recorded; the fermentation trend of the dough is predicted on the basis of analysis of multi-source data, whether fermentation of the dough is completed or not is judged, if the fermentation of the dough is completed, a prompt is given, so that the intelligent monitoring and management level in the bread fermentation process is improved, and the bread fermentation efficiency is improved. The fermentation trend of the dough can be predicted more accurately, the abnormal fermentation state can be responded more timely, and remote operation can be carried out more conveniently.

The invention relates to the technical field of Internet of Things gateways, in particular to an Internet of Things gateway and an operation method thereof. The method comprises the following steps: acquiring power system data, and constructing a power grid node topological structure diagram, so as to form a power system Internet of Things gateway; based on an Internet of Things gateway, power grid transmission demand prediction is carried out, an abnormal load state is analyzed, abnormal fluctuation of voltage and frequency is detected, and the stability of a power system is ensured; according to the frequency abnormity and voltage fluctuation data, the aging trend of power grid equipment is estimated, power resource loss estimation is carried out, abnormity early warning is carried out on power resource loss and equipment damage prediction data by utilizing an Internet of Things gateway, safe operation of a power grid is ensured, and early warning information is fed back to a terminal in time. According to the method, the intelligent level of the power system is effectively improved, and efficient resource configuration and fault management can be realized. According to the method, the Internet of Things gateway early warning is optimized, so that the Internet of Things gateway prediction is more efficient and accurate.

The present invention discloses a method and system for monitoring fall prevention safety of aerial work, the method includes obtaining physiological sign data and operation behavior data of aerial work personnel, use status data of fall prevention devices and environmental data; determining human risk index, equipment risk index and environmental risk index; judging whether there is a situation where the risk value among human risk index, equipment risk index and environmental risk index is greater than a first preset threshold value; if so, triggering an alarm prompt and generating a first operation guide to push to the aerial work personnel; if not, determining the fall risk value according to the human risk index, equipment risk index and environmental risk index, and when it is greater than a second preset threshold value, triggering an alarm prompt and generating a second operation guide to push to the aerial work personnel. The present invention takes into account more comprehensive risk factors, so that the fall risk value can be accurately predicted, and different operation guides are provided for different risks, thereby improving the energy efficiency of aerial work safety monitoring.

The invention provides a metabolic disease diabetic foot test data early screening method and system. Belongs to the technical field of medical health. The method comprises the following steps: acquiring clinical sample data, transmitting the acquired clinical sample data to a cloud space for preprocessing, performing feature extraction on the preprocessed clinical sample data through a deep learning algorithm, and extracting features related to the metabolic disease diabetic foot; constructing a metabolic disease diabetic foot screening model based on blood routine data through a deep learning algorithm, and combining obtained clinical sample data with historical data to construct a data set; the constructed metabolic disease diabetic foot screening model is evaluated through multiple indexes, and the metabolic disease diabetic foot screening model is optimized based on the evaluation result. Feature extraction is carried out through a deep learning algorithm, complex modes and subtle changes related to the metabolic disease diabetic foot can be recognized, and the screening accuracy is improved.

The invention discloses a depression diagnosis and treatment intelligent system based on non-inductive measurement and state tracking, the system comprises a strategy unit, a symptom unit and an interaction unit, the strategy unit comprises a strategy design module and a hierarchical strategy selection module, and the strategy design module is used for non-inductive, common-situation and dialogue process management; the hierarchical strategy selection module adopts a hierarchical classification algorithm to train a corresponding classification module; the symptom unit is composed of a diagnosis module and a symptom searching module, the diagnosis module is used for tracking a dialogue state, and the symptom searching module does not appear in a classification result of a concluded symptom through a classification model and a dynamically adjusted classifier; and the interaction unit performs role playing by utilizing the natural language understanding and generation capability of the large language model and combining the dialogue scene and state, so as to complete man-machine interaction of a natural dialogue form. According to the invention, security filtering and ethical examination mechanisms are integrated, and the reliability and user credibility of the system are improved.

The invention relates to a vehicle control method and device, equipment and a storage medium. The method comprises the steps that driving state data of a vehicle at the current moment and road surface state data of the vehicle at the current moment are obtained; performing prediction processing based on the driving state data to obtain a predicted roll angle; the predicted roll angle is a corresponding roll angle of the vehicle at the next moment of the current moment; under the condition that the predicted roll angle meets the rollover early warning condition, data processing is carried out based on the driving state data and the road surface state data, and torque compensation data is obtained; performing torque compensation on the current output torque of the vehicle based on the torque compensation data to obtain a target torque; and based on the target torque, vehicle driving is controlled, active prediction and intervention before vehicle rollover are achieved through the technical scheme, and therefore the stability and safety of vehicle driving are improved.

The invention provides an ophthalmic surgical instrument cleaning and disinfection whole-process intelligent monitoring and quality tracing method, which relates to the technical field of medical management and comprises the steps of acquiring instrument information, establishing feature and quality control element mapping based on a knowledge graph, generating a self-adaptive quality control strategy according to a pollution degree and historical records, and monitoring and checking process consistency in real time. When abnormity is found, quality problems are traced, intervention regulation is carried out, and quality control parameters are continuously optimized. According to the invention, intelligent monitoring and quality tracing in the cleaning and disinfection process of the ophthalmic surgical instrument are realized, and the quality control efficiency and safety are improved.

The invention provides a limited space operation supervision method and system for assisting AI vision, and relates to the technical field of anomaly detection, and the method comprises the steps: collecting an operation image through a high-definition camera, compressing and transcoding through a video server, and cutting and detecting through an industrial control computer to generate operation region image data; and the detection model detects the image data to obtain three detection results, risk assessment is performed according to the results, a control instruction is generated, an alarm is controlled, and real-time monitoring and safety management of limited space operation are realized. The method can solve the problems that in the prior art, real-time safety detection on a working site is difficult to achieve, detection cannot be conducted on a specific area, the detection efficiency is low, only a working area is used for detection, the detection accuracy is improved, false alarms are reduced, intelligent judgment on potential risks can be achieved, and the safety of the working site is improved. Automatic alarm and intervention on a working site are realized, and the working safety is improved.

The invention provides a psychological childbearing data analysis method which comprises the following steps: step 1, data collection: collecting to-be-analyzed data; step 2, data arrangement: cleaning and processing the collected data and integrating and classifying the data, including removing abnormal values, filling missing values and standardizing the data, and integrating and classifying the data of different sources and different types; 3, data analysis: extracting valuable information and insight by using various data mining and analysis algorithms; and step 4, decision support: personalized intervention suggestions are provided for teachers and counselers according to a data analysis result, the method provides insight and decision support for the teachers and the counselers through the steps of data collection, arrangement, analysis and the like, can help education practitioners manage and apply psychological childbearing data more effectively, and improves the psychological childbearing efficiency. Therefore, more personalized and targeted student support and intervention can be realized.

This invention relates to the field of medical image processing, specifically to a multimodal medical image fusion system and method, comprising a data preprocessing module, a domain manifold embedding module, a hierarchical adaptive domain alignment network module, a multimodal feature fusion module, and a diagnostic decision module. The system establishes a topological correspondence between EBUS ultrasound, OCT tomography, and DWI functional images through a multidimensional domain manifold embedding structure; employs a hierarchical adaptive domain alignment network to achieve multi-scale feature extraction and precise alignment; designs a topology-preserving multimodal feature fusion mechanism to ensure the complete preservation of key diagnostic information from each modality during the fusion process; and utilizes a dual-path cross-validation decision strategy to improve the stability and reliability of diagnosis. The system inputs the domain-aligned multimodal features into a Transformer network and generates nodule detection and benign / malignant classification results through dual-threshold judgment, achieving accurate and non-invasive diagnosis of small lesions such as pulmonary nodules and early gastrointestinal lesions.

The invention discloses an NMOSD-based one-stop self-management method and system, and a computing device, and the method comprises the steps: obtaining a patient data set which comprises the personal information, clinical features, iconography performance, laboratory indexes and medication records of a patient; according to the patient data set and the recurrence risk factors, obtaining a recurrence risk index and a corresponding risk level of the patient; according to the recurrence risk index, the corresponding risk grade and the NMOSD treatment guide, determining a personalized drug treatment and follow-up visit plan of the patient; and displaying the personalized drug treatment and follow-up visit plan in a visual mode. According to the method, the risk rule set is added to the C4.5 decision tree, and the feature values of the patient data set are preferentially sorted according to the Gini impurity reduction and the risk rule set, so that the accuracy and efficiency of patient self-risk assessment are improved, and the self-management level of the patient is improved.

This invention provides a system and method for monitoring intentional misbehavior based on electroencephalogram (EEG) signals. The system includes an EEG acquisition device, an EEG signal processing and classification component, a response device, and a data storage unit. The EEG signal processing and classification component analyzes the frequency and time domain characteristics of the subject's EEG signals, assesses the subject's perceived benefit, cognitive state, and emotional fluctuations, and delivers the processed data to the response device and data storage unit. It integrates a Conv1d & Dilated Convolution deep learning module, fusing 1D convolution and dilated convolution to improve detection accuracy. This invention applies the perceived benefit test method to intentional misbehavior monitoring, improving prediction accuracy and introducing an instant feedback mechanism to achieve real-time early warning and intervention for intentional misbehavior, reducing operational risks and ensuring the accuracy and reliability of the acquired EEG signals and intentional misbehavior data, providing a solid foundation for monitoring.

The application discloses a kind of cerebral vascular center nursing resource dynamic matching and safety early warning management method and system, including monitoring center and with its communication connection data acquisition, cerebral vascular disease special multi-dimensional evaluation, nursing resource full-dimensional image, resource dynamic intelligent matching, nursing real-time monitoring and early warning module.The application exports patient dynamic nursing demand image by special multi-dimensional evaluation system, completes nursing staff quantitative evaluation from physiological state and cognitive load dimension and exports real-time working state image, designs double-layer resource matching model of static scheduling and dynamic optimization, is combined with real-time monitoring and forward-looking prediction double-track trigger mechanism, realizes the linkage of risk early warning and resource scheduling depth.This application solves the pain points of the prior art scheduling static, early warning lag, resource supply-demand mismatch, can significantly improve the safety level and resource utilization efficiency of cerebral vascular center nursing.

The invention provides a conductive peptide-based multi-modal platform for tissue repair as well as a preparation method and application thereof, and belongs to the field of biological materials. The Ti3C2 MXene is used as a conductive core, the surface of the Ti3C2 MXene is coated with a polydopamine / cellulose nanocrystal synergistic stable layer, and the Ti3C2 MXene is covalently connected with the anti-inflammatory peptide AF through a phenylboronic acid responsive joint, so that the conductive nano composite material is constructed, and intelligent release triggered by an ROS / acidic microenvironment is realized; the conductive peptide-based multi-modal platform is further prepared from a conductive nano composite material and a VEGFR (vascular endothelial growth factor receptor)-targeted bioactive peptide scaffold, the platform integrates conductivity, inflammation resistance, oxidation resistance and angiogenesis promotion, and through mechanical-electric-biochemical multi-modal synergistic effect, the inflammation microenvironment after stroke is remarkably improved, and neural function recovery is promoted. The platform has important significance in preparation of drugs for preventing and / or treating nerve injury.

The present invention discloses a control method for a remote control system for oil cylinder exhaust, comprising an exhaust valve connected to the oil cylinder, an oil return tank connected to the exhaust valve, and a control electric box capable of controlling the exhaust valve to open or close; a central channel is provided in the exhaust valve along its axial direction, an oil return channel and a sensor channel connected to the central channel are provided on the side of the exhaust valve, the oil return channel is connected to the oil return tank, a liquid level sensor for monitoring the oil height inside the exhaust valve is installed in the sensor channel, the central channel is connected to the oil cylinder, and an opening and closing mechanism driven by a motor to control the opening or closing of the central channel is provided in the central channel. The present invention designs a remotely controllable oil cylinder refueling and exhaust system based on the exhaust valve, and realizes automatic control of exhaust during the oil cylinder refueling process through structures such as sensors, single-chip microcomputers, and control electric boxes, so that the exhaust demand of the oil cylinder can be realized without manual operation and intervention. The number of personnel working at high altitudes and safety hazards are reduced.

The application discloses a narrow-belt sorting machine capable of sorting special-shaped parts and an intelligent control method thereof. The narrow-belt sorting machine comprises a logistics input channel and a sorting channel connected to the logistics input channel. A plurality of sorting narrow-belt assembly components are longitudinally and uniformly distributed on the sorting channel. Linear array positioning shaft assembly components are arranged between two adjacent sorting narrow-belt assembly components. The linear array positioning shaft assembly components comprise a plurality of elastic telescopic positioning shafts which are uniformly distributed in the transverse direction. A range-increasing telescopic positioning shaft is arranged in the elastic telescopic positioning shaft. A range-increasing driving structure is arranged between the elastic telescopic positioning shaft and the range-increasing telescopic positioning shaft. A height correction inclined guide structure is arranged between the sorting channel and the range-increasing telescopic positioning shaft. The height correction inclined guide structure realizes self-adaptive contour limiting, stable conveying and precise sorting of the special-shaped parts, improves the automation degree and reliability of the special-shaped part sorting, and reduces the labor intervention cost.

The invention provides a coronary heart disease risk prediction method and system based on a multi-modal eye fundus image, and relates to the technical field of intelligent medical systems. The method comprises the following steps: acquiring a multi-modal eye fundus image group corresponding to a target user; based on a multi-scale attention model, extracting a fundus plane feature group corresponding to the first fundus image; extracting a fundus stereoscopic feature group corresponding to the second fundus image based on a region guidance attention model; and inputting the fundus plane feature group and the fundus stereo feature group into a risk prediction model to determine a corresponding coronary heart disease risk prediction result, the risk prediction model adopting a multi-modal fusion deep learning model. Therefore, big data analysis is carried out on the multi-modal and multi-dimensional fundus images, a coronary heart disease prevention and treatment gateway is moved forward, and non-invasive, rapid and accurate risk prediction is realized.

The invention discloses a titanium dioxide-molybdenum disulfide ultrasonic triggering antibacterial coating and a preparation method and application thereof.The preparation method comprises the following steps that a titanium sheet serves as a working electrode, the working electrode, a counter electrode and electrolyte form an electrochemical anodic oxidation system, electrochemical anodic oxidation is conducted for 5-60 min under 10-50 V, and the titanium sheet loaded with titanium dioxide nanotubes is obtained; in a nitrogen or inert gas atmosphere, the titanium sheet loaded with the titanium dioxide nanotube is subjected to heat preservation at 400-500 DEG C for 0.5-1 h and cooled to the room temperature, and a first substance is obtained; and molybdenum disulfide is used as a target material, the first substance is subjected to magnetron sputtering for 0.5-4 min in the inert gas atmosphere, and the titanium dioxide-molybdenum disulfide ultrasonic triggering antibacterial coating is obtained on a titanium sheet. The titanium dioxide-molybdenum disulfide ultrasonic triggering antibacterial coating disclosed by the invention can generate heat and active oxygen under the triggering of ultrasonic waves, and can inhibit bacterial growth and cause bacterial death through the comprehensive action of the active oxygen and the heat, so that the antibacterial effect is improved.

The invention relates to the field of industrial internet, and discloses a more efficient network protocol dynamic loading method so as to improve the expandability, timeliness and stability of a network analysis function of a flow analysis system. The method comprises the following steps: developing a new protocol analysis function, and packaging the new protocol analysis function into a Linux dynamic loading library conforming to an interface specification; obtaining plug-in information by scanning a plug-in directory, and determining a protocol analysis plug-in needing to be loaded or updated; loading a protocol analysis plug-in by using a Linux dynamic loading technology, and mounting the protocol analysis plug-in into a protocol analysis engine; migrating the traffic to the updated protocol analysis engine, and cleaning the cache and related intermediate files of the old plug-in; and returning loading information through the command line framework, and recording a dynamic loading log. According to the invention, the development efficiency of the protocol analysis function is improved, the protocol support speed of the flow analysis system is improved, and more updated protocol analysis results are better provided for clients.

The invention discloses an idiopathic atmospheric hydrocephalus biomarker, a diagnostic kit and application, belongs to the technical field of biological medicine, and particularly relates to the idiopathic atmospheric hydrocephalus biomarker which is a protein biomarker and comprises NBL1, TREM2, COL3A1, DPP7, PLA1A, SELENBP1, FGB, CCK, WFIKKN2, KNG1, HBA2, GFRA3 and CSF1. The invention relates to an application of an idiopathic atmospheric hydrocephalus biomarker in preparation of an idiopathic atmospheric hydrocephalus diagnostic kit. Differential proteins are screened through a DIA technology, protein expression is verified through a PRM technology, the idiopathic atmospheric hydrocephalus biomarker is obtained through screening and used for early screening, risk assessment and prognosis judgment of iNPH, early, accurate and objective diagnosis of iNPH is achieved, the clinical diagnosis period is shortened, and the diagnosis and treatment efficiency is improved.

The application discloses a pancreas disease multi-time window risk prediction system based on routine physical examination queue data and relates to the technical field of medical big data and disease risk prediction. The system comprises data acquisition, preprocessing, feature fusion, risk calculation and model optimization modules; the acquisition module acquires and integrates data to output a structured original data set; the preprocessing module processes the original data set into a personal longitudinal time sequence feature vector set; the feature fusion module outputs a unified feature vector; the risk calculation module obtains a multi-time window disease probability; and the model optimization module constructs a label, calculates a loss and optimizes and updates parameters of each module. The application integrates routine physical examination and pancreas disease outcome data to construct a data set, mines data value through standardization preprocessing and the like, inputs a unified feature vector into a multi-layer perception machine, constructs an incremental risk vector, realizes multi-time window disease probability stratified prediction, breaks through single limitation, introduces L2 regularity to improve performance, and helps early screening and intervention of pancreas disease based on routine physical examination data.

The invention discloses an equipment upgrading circuit and method based on a relay and a storage medium, and relates to the technical field of equipment upgrade.The method comprises the steps that master equipment sends a high-level driving signal to the relay, the relay is driven to be closed, and a synchronous signal path from the master equipment to slave equipment is formed; a preset synchronizing signal is sent to the slave device through the synchronizing signal channel, if feedback information which is sent by the slave device and represents that the slave device detects the synchronizing signal is received, a low-level driving signal is sent to the relay, the relay is driven to be disconnected, and preset firmware upgrading data is sent to the slave device through the serial port communication link; and firmware upgrading is carried out on the slave device. According to the method, the intelligence of firmware upgrading is improved.

The application provides a production quality detection and early warning method and device for electric tool gears, comprising: collecting multi-dimensional quality parameters in the gear manufacturing process; performing dynamic load simulation testing on the finished gears, and determining the dynamic performance grade thereof according to the testing data; performing correlation analysis on the multi-dimensional quality parameters of each gear and the corresponding dynamic performance grade thereof, establishing a parameter-performance correlation rule library based on a predefined logic condition combination; acquiring the multi-dimensional quality parameters in real time, and inputting the parameters into the parameter-performance correlation rule library for logic matching; determining the predicted performance grade of the new production gear according to the logic matching result; when the predicted performance grade is lower than the preset qualified grade, triggering an early warning, and outputting the corresponding key defect type and suggested treatment measures according to the triggered specific correlation rule. The application makes the detection of electric tool gears more intelligent and comprehensive.

This invention belongs to the field of organic chemistry, specifically providing a class of compounds that can be selectively activated by hypochlorous acid to release hydroxyl groups, along with their preparation methods and applications. These compounds, triggered by HOCl, can efficiently release target molecules containing hydroxyl groups, enabling corresponding treatment, intervention, or functional execution. Simultaneously, these compounds can generate detectable signals such as fluorescence while releasing the charge, allowing for in-situ / real-time monitoring of HOCl levels and the release process in lesion areas, providing a basis for disease assessment and efficacy tracking. These compounds remain relatively inert in normal tissues or when HOCl is at physiological levels, reducing disturbance to HOCl in normal areas and helping to maintain overall HOCl homeostasis and basic immune defense functions. This invention develops a class of compounds that can rapidly respond to hypochlorous acid, release hydroxyl-containing drugs, and monitor disease treatment.