8results about How to "Efficient Safety Management" patented technology

The invention discloses an unattended fire alarm system based on real-time comprehensive analysis of environmental characteristics, and relates to the field of unattended fire alarm, and the system comprises a dust distribution simulation module which builds a dynamic dust concentration distribution model in an industrial production area, and analyzes the distribution condition of dust in the space in real time; the secondary risk area marking module is used for performing three-dimensional coverage on the electrostatic field distribution of the monitoring area and the distribution of the dust in the space, and marking an overlapped area as a secondary risk area; the first-level risk area labeling module is used for judging the dust-gas collaborative explosion risk existing in the current risk area based on the electrostatic discharge energy and carrying out first-level risk labeling; the explosion propagation path simulation module is used for establishing an explosion propagation path diagram based on the propagation attenuation condition of explosion energy estimation and thermal radiation; and the risk alarm module is used for coloring and marking the graded risk area and the explosion propagation path diagram and sending out an alarm signal.

The invention provides a tracking type unmanned aerial vehicle countering method and system, and belongs to the technical field of unmanned aerial vehicle countering, and the method comprises the steps: monitoring a communication frequency band of a tracking type unmanned aerial vehicle in real time, and determining real-time signal data and a signal feature vector; extracting a frequency hopping behavior of the tracking type unmanned aerial vehicle, determining frequency hopping data, and analyzing the frequency hopping data to determine a frequency hopping type; determining a communication interference signal and a frequency hopping interference signal of the unmanned aerial vehicle; transmitting a communication interference signal and a frequency hopping interference signal, and acquiring interference signal data of the tracking type unmanned aerial vehicle after the communication interference signal and the frequency hopping interference signal are transmitted; and dynamically adjusting a communication interference signal and a frequency hopping interference signal, and evaluating a countering effect. The method can optimize the countering strategy in real time, improves the pertinence and accuracy of the interference effect, guarantees the effectiveness of countering measures in a complex environment, provides a more flexible and more efficient technical means for the safety management of the unmanned aerial vehicle, remarkably enhances the defense capability, and remarkably improves the intelligent level of the monitoring and management of the unmanned aerial vehicle.

The invention discloses a scene-based data accurate desensitization virtual power plant user privacy protection method. The method comprises the following steps of: firstly, setting different desensitization intensities according to the sensitivity of data through a hierarchical desensitization method, and selecting different desensitization technologies to perform encryption processing or access control according to the use and use scene requirements of the data, so as to realize privacy protection and accurate desensitization; secondly, accurately identifying sensitive information in the data by adopting a sensitive attribute identification module, and matching proper desensitization intensity and strategy for the sensitive information; then, data hierarchical storage and encrypted transmission are adopted, and it is ensured that data of different hierarchies are properly protected; finally, a reasonable access control strategy is set according to different scenes and data sensitivities, unauthorized access and abuse are avoided, and meanwhile the accurate desensitization efficiency is optimized. According to the method, an efficient and safe solution is provided for user privacy protection in the virtual power plant by combining hierarchical desensitization, sensitive attribute identification, Merkle tree storage, encryption transmission and attribute-based access control.

The invention relates to the technical field of visual management, in particular to a dynamic visual management method and system for electronic equipment assets, and the system comprises a supporting layer, a data layer, an application layer and a display layer which are connected in sequence. The support layer comprises a management platform database, a cache service module, a message service module, a registration center module and a configuration center module; the data layer comprises an equipment library business data module, a report data module, an interface data module and a user data module; the application layer comprises an equipment life cycle management module, a decision support report module, an alarm management module and a basic function module. According to the invention, dynamic visual management of electronic equipment assets can be well realized.

The invention discloses an electrical equipment operation safety verification system and method, and relates to the field of electrical equipment safety, the electrical equipment operation safety verification system comprises an IED inspection unit, an operation safety verification unit, a comprehensive evaluation unit, an alarm unit and a terminal, the safety during maintenance and the safety during operation are integrated, and a comprehensive index is obtained; and the safety condition of the electrical equipment can be evaluated more comprehensively. The method not only can integrate a plurality of monitoring parameters and provide more accurate equipment state evaluation, but also can predict potential faults and risks through an advanced data analysis technology. Besides, in combination with intelligent alarm operation, an alarm can be automatically triggered when abnormity is detected, and related personnel are timely notified to take countermeasures, so that the safety management efficiency and the response speed are greatly improved. The comprehensive safety verification method has the advantages that deeper safety guarantee can be provided, interference of human factors is reduced, and more efficient and more reliable electrical equipment safety management is realized.

The application relates to a device control method, an insulin infusion device, a program product and a closed-loop infusion system, which are applied to an insulin infusion device, the insulin infusion device comprising a touch screen, at least one memory and at least one processor, the touch screen being used for receiving user input, the memory storing executable instructions, and the processor being used for executing the executable instructions to realize the following method: monitoring whether a blood glucose influencing event occurs during operation of a closed-loop operation mode; the blood glucose influencing event comprises an event that a user's blood glucose level deviates from a target blood glucose range of a control parameter due to device operation and / or user activity; in the case that it is determined that the blood glucose influencing event occurs, triggering a safety protection program; and performing safety management on the closed-loop operation mode of the insulin infusion device through the safety protection program.

The application discloses a power operation risk early warning method, system, device and medium based on big data, belongs to the technical field of operation risk management, and comprises the following steps: collecting multi-source data, preprocessing, extracting data risk features, constructing a risk evolution path model based on the risk features; constructing a risk prediction model to predict future risk changes and dividing risk levels, early warning according to the risk levels; and displaying real-time risk values of operation areas through a visual interface and storing data. The application realizes real-time dynamic management of power operation risks, overcomes the defects of single data dimension analysis, insufficient risk transmission modeling and low real-time performance and prediction accuracy of traditional technologies, effectively improves the ability of power operation risk identification, dynamic evaluation and accurate prediction, provides efficient decision support through hierarchical early warning and operation optimization scheme, and realizes efficient and safe early warning of complex power operation scenes.

The invention belongs to but not limited to the technical field of data mining, and particularly relates to a police service equipment user portrait and behavior anomaly detection method and system, and the method comprises the steps: S1, reading data from a police service equipment log database by the system; s2, grouping the police service equipment log data by a user IP; s3, re-grouping the IP data of each user by taking day as a unit; s4, dividing the intra-day data into time periods at equal intervals, and constructing a character string data set according to an ascending sequence of the time periods and task execution numbers; s5, performing frequent item mining on any user IP by using an Apriori algorithm to obtain a sequence structure of frequent execution task numbers of the user IPs; s6, classifying the user IPs with the same sequence structure; and S7, continuously monitoring a user IP task execution sequence structure, and when the sequence structure changes, sending out a user IP class abnormity early warning. Based on the data mining technology, the police service equipment user portrait and abnormal behavior detection is realized, and the user safety management of the police service department is ensured.