13results about How to "Timely disposal" patented technology

The invention discloses a transmitter system based on multi-sensor fusion and edge AI and a self-diagnosis method, and belongs to the technical field of industrial process control instruments, and an industrial intelligent transmitter system comprises a multi-sensor unit, a signal acquisition unit, a microcontroller, an AI coprocessor and a dual-mode communication unit. The multiple sensing units are used for synchronously collecting original data; the signal acquisition unit is used for converting original data into digital signals; the microcontroller is used for processing the digital signal and carrying out environment adaptive compensation to obtain compensated sensor data; the AI coprocessor is used for performing feature extraction and fault probability reasoning on the compensated sensor data to realize real-time self-diagnosis; and the dual-mode communication unit is used for transmitting the compensated process control signal and diagnosis information in different channels. The system has the functions of environment adaptive compensation, real-time self-diagnosis and the like, and the problems of parameter drift and fault response delay in an industrial environment are remarkably improved.

The application relates to the technical field of traffic management, and provides a smart city traffic management method and system based on a cloud platform.The method comprises the following steps: collecting a target pedestrian passage of a target city; performing real-time monitoring on the target pedestrian passage to obtain illegal monitoring data; positioning a first illegal vehicle according to the illegal monitoring data, and obtaining illegal frequency information and illegal type information of the first illegal vehicle; obtaining a preset illegal punishment scheme; performing punishment scheme matching on the illegal frequency information and the illegal type information according to the preset illegal punishment scheme to obtain a first punishment scheme; and sending the first punishment scheme to a traffic control platform and a first vehicle owner, and performing traffic punishment management according to the first punishment scheme.The application solves the technical problem that traffic events are disposed slowly in the prior art and subsequent supervision of a vehicle causing an accident cannot be performed, and achieves the technical effects of timely disposal of traffic events and improvement of road passing efficiency.

The invention, which relates to the technical field of power cable fault detection and early warning, discloses a real-time identification and early warning method for fault hidden troubles of a flexible cable for power distribution network operation without power outage, comprising the following steps: acquiring and calibrating partial discharge, temperature, dielectric loss, humidity and current data of a cable through a distributed sensor; data space-time alignment is realized by combining sensor sensitivity correction; combining with parameter deviation degree dynamic weighting fusion features, and highlighting abnormal parameter contributions; then coupling time-space correlation to analyze the feature correlation degree, and avoiding misjudgment of a single time-space point; the hidden danger membership degree is judged by integrating the correlation degree change rate, and the judgment threshold value is dynamically adjusted by combining the cable load; and finally, yellow, orange and red three-level early warning is output in combination with the short-term prediction deviation. The method overcomes the defects of inaccurate data, fixed weight, rigid threshold and the like in the prior art, can accurately identify hidden dangers in real time and perform graded early warning, provides a clear basis for operation and maintenance, and ensures safe and stable operation of the flexible cable in a distribution network power failure operation scene.

This invention relates to the fields of medical informatics and medical big data analysis, and particularly to a full-chain integrated data system and data processing method for obesity management. The system includes the following steps: constructing a standardized obesity management data model covering the entire process of obesity from pre-diagnosis to diagnosis and post-diagnosis, forming a unified metadata architecture; receiving raw obesity management data, preprocessing it, generating standardized obesity management data, and storing it; constructing a longitudinal timeline centered on the patient, linking intervention information and indicator data at each stage of pre-diagnosis, diagnosis, and post-diagnosis, and calculating indicator changes; and generating follow-up and re-examination plans and periodic management summaries based on the event sequence and indicator changes in the longitudinal timeline, combined with preset management cycle rules and risk identification rules. This invention enables continuous integration and closed-loop management of multi-source data in obesity management scenarios, improving data integration efficiency.

This invention relates to the field of battery monitoring, specifically to a detection device, method, and monitoring host for the circulation pipeline in a vanadium redox flow battery. In this application, embodiments use first detection components at both ends of the circulation pipeline to collect electrolyte operating parameters in real time, accurately acquiring temperature data and solving the problem of missing temperature monitoring, providing a reliable basis for regulation. Secondly, the operating parameter signals are transmitted to the monitoring host in real time, allowing the host to flexibly execute regulatory operations, replacing the existing single adjustment method and achieving precise control of electrolyte temperature, ensuring battery efficiency and lifespan. Then, a second detection component around the circulation pipeline can monitor leakage status in real time, completely solving the problem of delayed leakage detection compared to manual inspections. Finally, upon receiving a leakage signal, the monitoring host synchronously executes regulatory operations, enabling timely handling of leaks and avoiding losses such as equipment corrosion and resource waste. This ensures pipeline operation from both temperature and leakage perspectives, improving battery operational stability.

The invention discloses an explosion-proof grounding resistance on-line monitoring system and device, and relates to the technical field of grounding resistance monitoring. Comprising a grounding loop, a resistance monitoring device and an intelligent control platform, wherein the grounding loop is formed by a metal grounding electrode, a connecting conductor and to-be-protected equipment; the resistance monitoring device obtains a real-time resistance value of the loop, so that the resistance fluctuation state in unit time is monitored on line in a full-dimension manner; and the intelligent control platform communicates with the resistance monitoring device through a local area network, and transmits the resistance value of the grounding loop to the intelligent control platform for monitoring and displaying. According to the invention, a full-chain digital intelligent lightning safety protection comprehensive solution covering sensing, transmission, analysis, decision making and disposal is created, grounding system detection normalization is realized, a traditional lightning protection grounding system monitoring mode is promoted to be transformed and upgraded to be intelligent, the lightning protection and disaster reduction working level is improved, and lightning protection is transformed from passive protection to active defense.

The invention relates to the technical field of bridge construction, in particular to a construction hanging basket operation risk real-time monitoring method and system. The method comprises the following steps: S1, deploying a monitoring system including sensing, transmission, data processing and early-warning brake layers; s2, early warning and braking threshold values are set; s3, the sensing layer collects parameters in real time in the walking process and transmits the parameters to the data processing layer through the transmission layer; s4, the processing layer preprocesses the data, calculates a displacement difference and a speed difference, and judges a balance state in combination with attitude parameters; and S5, executing continuous monitoring, primary early warning or secondary early warning and emergency braking according to a judgment result. In the system, a sensing layer comprises a high-precision laser displacement sensor, a tilt angle sensor and a stress monitoring module, a transmission layer adopts a'wired + wireless' mixed mode (delay is less than or equal to 0.5 s), a data processing layer comprises an edge computing terminal and a background monitoring center, and an early warning braking layer realizes graded prevention and control. According to the invention, automatic high-precision monitoring is realized, manual dependence is avoided, accurate early warning and braking are realized, overturning accidents are avoided, and construction safety and quality are improved.

The embodiment of the invention provides a file operation method, system and device for a cloud host, electronic equipment and a medium, and the method comprises the steps: intercepting system call corresponding to file operation when the file operation is detected by a user virtual machine; generating to-be-detected information in response to the file operation; generating a detection result according to the to-be-detected information; generating an execution instruction corresponding to the file operation based on the detection result through the host machine security agent; and executing the execution instruction through the user virtual machine. According to the embodiment of the invention, through a protection mechanism based on system call interception and host machine security agent, the file operation behavior and the security detection result are cooperatively processed respectively, so that the defect that application layer protection is easily perceived and terminated by an intruder can be effectively avoided, and after virus infection is detected, the security of the file can be effectively protected. And thorough network blocking is implemented from the host machine level, so that deep defense and timely disposal of security threats are realized, and dual improvement of protection concealment and disposal thoroughness is achieved.

This invention discloses a big data-driven dynamic compensation control method and system for denitrification systems in thermal power units. The method includes: real-time acquisition of operating data from the thermal power unit to form a multi-source raw dataset; hierarchical preprocessing of the raw dataset, analysis, and extraction of fused feature vectors; inputting the fused feature vectors into a pre-defined full-condition adaptive dynamic prediction model to output the outlet concentration and optimal ammonia injection rate at future times; the prediction model includes a transfer learning module for different load conditions and a catalyst activity decay compensation module; based on the prediction results, a multi-timescale dynamic compensation strategy is adopted to generate and execute ammonia injection control commands, and the control parameters are iteratively optimized based on the feedback outlet concentration and ammonia slip rate. This invention achieves precise cleaning and feature extraction of massive operating data, establishes a dynamic compensation model capable of real-time tracking of operating condition changes and catalyst decay status, and realizes precise dynamic adjustment of ammonia injection rate.

Embodiments of the present application disclose a vehicle component processing method, device, equipment and medium. The method is executed by a control end, the control end comprises a detection device for detecting a CAN interface in a vehicle, the control end is connected with a CAN bus of the vehicle, the control end controls the working state of a to-be-detected power supply through a relay, the control end controls the communication state of the CAN interface through the relay, and the method comprises the following steps: acquiring power failure information of the to-be-detected power supply through the CAN bus, and acquiring interface detection information of a target CAN interface through the detection device; determining interface failure information of the target CAN interface according to the matching result of the interface detection information and preset failure information; determining a target relay and a target working state corresponding to the target relay according to the power failure information and the interface failure information, and switching the working state of the target relay to the target working state. The technical solution can detect and dispose faults in time for the sensor power supply and the CAN communication state.

This invention relates to the fields of business processing informatization, archival storage, and intelligent compliance verification technology. It discloses a method and system for business compliance verification and reverse circuit breaking based on solidified archives. The method retrieves historical archives of solidified objects and the historical states of object entities in dual-track scenarios based on associated identifiers, calculates content fingerprints to form a solidified evidence set, extracts structured evidence to generate benchmarks, aligns the business data under processing with a pre-trained language model to generate compliance assertions with evidence references, and converts them into constraints for submission to a satisfiability solver for verification. When constraints are not satisfiable, the method outputs a subset of unsatisfiable constraints to locate conflicts, generates circuit breaking instructions to prevent completion, suspend review, or issue warnings according to risk levels, and generates an audit record package, achieving interpretable verification, locable conflicts, interceptable violations, and traceable data.

The embodiment of the invention discloses a parking fee reduction and remission abnormity processing method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining order information of a to-be-detected order; according to the order information and a pre-trained exception recognition engine, determining an exception reason of the to-be-detected order; and according to a preset processing mode corresponding to the abnormity reason, executing an abnormity processing flow, an abnormity identification engine performing multi-dimensional analysis on order information of a historical order to determine, and the historical order being a charging order which occurs before the to-be-detected order and is abnormal in parking fee reduction and remission. Therefore, according to the method, automatic identification of the abnormal reason of the to-be-detected order and timely processing of the order reduction and remission abnormity are realized based on the abnormity identification engine, and the abnormal reason identification and abnormity processing efficiency during parking fee reduction and remission abnormity can be improved.

The application discloses a kind of anti-fraud identification method, medium and product.The method comprises: in response to the trigger of preset high-risk behavior event, determine the behavior characteristic data corresponding to preset high-risk behavior event;According to terminal running context information determination data communication parameter, and adjust behavior characteristic data according to data communication parameter;The adjusted behavior characteristic data is sent to edge server, to make edge server based on behavior characteristic data carry out anti-fraud identification, generate anti-fraud identification result;Receive the anti-fraud identification result returned by edge server, and execute corresponding anti-fraud decision operation based on anti-fraud identification result.The application not only guarantees the timely, reliable disposal of high-risk event, but also balances between communication efficiency, energy consumption, security and data integrity, improves the running robustness and overall security response efficiency in weak network environment, and gives consideration to security, real-time performance, energy efficiency and user experience.