40results about How to "Improve Security Monitoring Efficiency" patented technology

Various embodiments of the present invention set forth techniques for security monitoring of a network connection, including analyzing network traffic data for a network connection associated with a computing device, identifying one or more network traffic metrics for the network connection based on the network traffic data, determining that the network connection corresponds to at least one network connection profile based on the one or more network traffic metrics, detecting a potential security threat for the network connection based on the one or more network traffic metrics and the at least one network connection profile, and initiating a mitigation action with respect to the network connection in response to detecting the potential security threat. Advantageously, the techniques allow detecting potential security threats based on network traffic metrics and categorizations, without requiring monitoring of the content or the total volume of all traffic exchanged via the connection.

Disclosed is a security monitoring apparatus using augmented reality, including: an integrated event collector that collects events generated in a physical security region and an information security region; a security condition information generator that generates security condition information about each object to be monitored based on the collected events; and a security condition display unit that augments and displays the security condition information about the objects to be monitored existing in the videos photographed by cameras in the videos.

The invention discloses a method and a system for monitoring safety of an oil and gas pipeline based on unmanned aerial vehicle line patrol and a software storage device. The method comprises the steps of S1, acquiring multi-source data generated by safety monitoring of the oil and gas pipeline with an unmanned aerial vehicle; S2, carrying out risk identification on a mono-temporal image accordingto a characteristic library obtained by historical risk characteristic training, carrying out the risk identification on a multi-temporal image by use of a saturation-based change detection method toidentify change regions between different time phases, calculating and combining mono-temporal and multi-temporal risk identification results; S3, reappearing an inspection process of the unmanned aerial vehicle for the oil and gas pipeline in a three-dimensional platform; S4, carrying out route planning of the unmanned aerial vehicle inspection and analysis of a water-flooded space of the pipeline; and S5, outputting a pipeline hidden danger report which includes a risk identification report and a spatial analysis report, and making a decision according to the pipeline hidden danger report.According to the method and the system for monitoring the safety of the oil and gas pipeline based on unmanned aerial vehicle line patrol and the software storage device, the safety management cost ofthe oil and gas pipeline is effectively reduced, the safety monitoring efficiency is improved and the operation and maintenance management level of a pipe network is enhanced.

The invention discloses an automated testing method, device and system for a task. The method comprises the following steps: acquiring application information of a task to be detected in a task database, and acquiring an installation package of the task to be detected by using the application information; acquiring a test machine which satisfies a testing condition in a test cluster, and obtaining a simulator which is not occupied on the test machine which satisfies the testing condition; transmitting the installation package of the task to be detected to the simulator which is not occupied on the test machine which satisfies the testing condition; after starting an application program of the task to be detected, transmitting security testing data to the application program running in the simulator; and monitoring an output result after the application program of the task to be detected receives the security testing data, and acquiring a security testing result of the task to be detected. The automated testing method, the device and the system for the task provided by the invention solve the technical problem that the safety monitoring efficiency is low since the application program safety monitoring cannot be finished automatically by the application program and the application program does not support multitask detection in the prior art.

The invention discloses an RFID (Radio Frequency Identification Devices) and wireless sensing-based real-time positioning early warning system for a mine. The real-time positioning early warning system comprises a wireless radio frequency identification module, a real-time three-dimensional positioning module, a monitoring data acquiring and analyzing module, a disaster early warning module, a disaster analyzing module and a ground remote control host, wherein the real-time three-dimensional positioning module is used for reading information in the wireless radio frequency identification module and transmitting the information to the monitoring data acquiring and analyzing module; the monitoring data acquiring and analyzing module is used for transmitting the acquired and analyzed information to the disaster early warning module; and the disaster analyzing module is used for reading the information output by the disaster early warning module and uploading the information to the ground remote control host. According to the RFID and the wireless sensing-based real-time positioning early warning system for the mine, which is disclosed by the invention, real-time three-dimensional positioning and disaster early warning for the mine are realized.

The invention relates to a security guard system for security, which relates to the technical field of image processing, and comprises: an acquisition module used for acquiring video information acquired by camera equipment in real time and connected with a processing module; a processing module which is used for extracting video frames from the video information acquired by the acquisition module, performing image processing on the video frames and generating danger levels according to image contents in the video frames, and the processing module is connected with the storage module; the storage module which is used for storing video frames containing danger levels and is connected with the alarm module; and an alarm module which is used for prompting the current dangerous state according to the danger level, wherein after the processing module acquires the video frame, the processing module judges the danger level of the video frame according to the image content in the video frame. According to the system, the video monitoring efficiency is effectively improved, and the safety in a camera shooting area is effectively ensured.

The invention provides a high-rise building glass curtain wall safety monitoring method based on a wireless sensor technology and a safety monitoring cloud platform, and the method comprises the steps: carrying out the statistics of the number of cells of a high-rise building glass curtain wall, and carrying out the region division; acquiring basic parameters of glass in each sub-region of the high-rise building; detecting the cracking degree of the high-rise building glass; detecting the combination degree of the glass and the bracket of the high-rise building, and detecting the pulling force and the tension borne by the glass; respectively analyzing and processing the basic parameters, the cracking degree, the combination degree of the glass and the support and the pulling force and the tension force borne by the glass of each sub-area of the high-rise building, then effectively evaluating the comprehensive safety influence coefficient of the glass curtain wall of the high-rise building, and meanwhile the comprehensive safety monitoring efficiency of the glass curtain wall of the high-rise building is greatly improved.

The invention discloses a server system security monitoring method. The method comprises the steps that a target BMC work log is acquired; Comparing the target BMC working log with a BMC log hazard event standard sample to determine an abnormal event; Outputting an abnormal event according to a preset path; According to the method, comparison of the target BMC working logs can be automatically completed, the abnormal events in the target BMC working logs are obtained, and then the abnormal events can be output in time; correctly and quickly identifying The log information defined as the abnormal event in a manner of comparing the target BMC working log with the BMC log hazard event standard sample, so that the condition that the abnormal event cannot be identified due to human factors in the related technology is avoided, and the reliable operation of the server is ensured; The invention also discloses a server system security monitoring device, a terminal and a computer readable storage medium, which have the above beneficial effects.

The invention discloses a water conservancy safety monitoring system and method based on big data, and relates to the technical field of water conservancy safety, and the system comprises a monitoring node, a monitoring center, a safety analysis module and a threat evaluation module. The monitoring nodes are used for monitoring water flow information of seepage at specific positions of all areas of the water conservancy project and sending the information to the monitoring center. The monitoring center is used for preprocessing the current water flow information, transmitting the preprocessed water flow information to a safety analysis module for safety analysis, determining the safety condition of seepage at each position according to a deviation coefficient, performing early warning in time, and allocating corresponding engineers to perform maintenance and reinforcement, so that the safety of the water conservancy project is improved; and the threat evaluation module is used for performing seepage threat coefficient analysis on the seepage maintenance information with the timestamp stored in the database, determining a corresponding information acquisition instruction according to a seepage threat coefficient, and adjusting the acquisition frequency, so that an engineering area with high seepage threat is monitored in a focused manner, and the water conservancy safety monitoring efficiency is improved.

The embodiment of the invention discloses an information processing method and device, which are used for improving the efficiency of network security detection. The method comprises the following steps: the controller receiving first information sent by a detector on a first node in the plurality of nodes; and the controller generating a first strategy based on the first information, and sendingthe first strategy to the detector on the first node, so that the detector determines whether to block data transmission between different terminal devices in the first node based on the first strategy.

The invention discloses a safety monitoring method and device, a storage medium, electronic equipment and an air conditioner, and the method comprises the steps: obtaining image data, and inputting the image data into a pre-trained first convolutional neural network model; extracting body shape features in the image data by using a first convolutional neural network model and judging whether the body shape features are matched with data in a safety personnel body shape feature library or not; when the recognition result output by the first convolutional neural network model is mismatching, inputting the mismatched image data into a pre-trained second convolutional neural network model, and performing behavior feature extraction and behavior classification on the mismatched image data by using the second convolutional neural network model to obtain a behavior classification result, wherein behavior classification results may include crimes and normalities. The method can improve the monitoring and recognition capability, achieves the recognition of the unsafe persons, improves the behavior monitoring and intelligent behavior classification of the unsafe persons, and greatly improvesthe safety monitoring efficiency.

The application relates to a power safety supervision optimization method and system, a readable storage medium, and a computer device. The method comprises: when a safety supervision task trigger condition is met, a safety supervision task message is generated and the generated message is issued; when a path navigation trigger condition is met, a preset safety supervision task map is inquired, apath navigation message is generated based on the safety supervision task map and location information of the safety supervision task, the generated message is issued; when location information of a terminal is detected to match the location information of the safety supervision task and the safety supervision task is detected to be performed, safety supervision data sent by the terminal are received; and the safety supervision data are updated to a preset safety supervision database. According to the application, the path navigation message is issued based on the preset safety supervision task map and the location information of the safety supervision task so as to control the terminal to carry out safety supervision task path navigation; guidance by the field staff is not needed; the addressing time consumption is reduced for safety supervision; and the safety supervision efficiency is improved.

The invention provides a battery safety monitoring method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring current state data and factory information of a battery to be detected; analyzing the current state data and factory information, and determining influence values of multiple state indexes of the to-be-tested battery on the voltage difference of the battery; determining a voltage difference safety threshold value of the to-be-tested battery according to the influence values of the plurality of state indexes on the voltage difference of the battery; and determining a safety monitoring result of the to-be-detected battery according to a size relationship between the current voltage difference measured value of the to-be-detected battery and the voltage difference safety threshold. According to the method provided by the scheme, the corresponding voltage difference safety threshold is dynamically determined according to the actual state data of the to-be-detected battery, and then the safety monitoring result of the to-be-detected battery is determined by comparing the voltage difference measured value with the voltage difference safety threshold, so that the battery safety monitoring efficiency is improved, the abnormality of the battery can be found at the first time, and the safety of the to-be-detected battery is ensured. And a foundation is laid for improving the safety of the battery.

The invention discloses and provides a double-track tunnel excavation safety online monitoring and analysis system based on artificial intelligence. The double-track tunnel excavation safety online monitoring and analysis system based on artificial intelligence comprises a tunnel excavation basic information acquisition module, a monitoring stage division module, a tunnel excavation safety monitoring module, a tunnel excavation safety analysis module and a tunnel excavation safety early warning module. According to the invention, the target excavation double-track tunnel is subjected to target monitoring stage division, and corresponding excavation safety information monitoring is carried out according to each divided monitoring stage, so that the excavation safety information corresponding to each monitored monitoring stage is analyzed; the problem that targeted tunnel excavation safety monitoring is not carried out according to the double-track tunnel excavation process at present is effectively solved, the safety monitoring efficiency in the double-track tunnel excavation process is greatly improved, and full-process monitoring and multi-directional monitoring in the double-track tunnel excavation process are achieved.

The invention relates to the field of nondestructive testing, and particularly relates to an automatic fault identification method for an elevator landing door. The automatic fault identification method for the elevator landing door comprises the following steps: S1, constructing an elevator landing door fault detection model based on a machine learning algorithm; S2, acquiring motion state data of the elevator landing door, and drawing a corresponding motion state curve; and S3, taking feature data corresponding to the marked motion state curve and data of a fault type as a model training data set, namely a training set; S4, training the elevator landing door fault detection model through the training set, and verifying a training effect of the model by using a testing set; and S5, obtaining the feature data of the landing door motion state of a corresponding elevator floor when a landing door opening and closing instruction is received every time, identifying through the elevator landing door fault detection model, and reserving a corresponding real-time motion state curve and a corresponding identification result thereof. According to the invention, the problems of poor monitoring effect, low efficiency, and insufficient real-time performance due to the fact that existing elevator landing door state monitoring depends on manual work, are solved.

The invention discloses an electric power security online supervision method, which comprises a setting module, a monitoring module, an alarm module, a positioning monitoring module and an emergency processing module, and is characterized in that the setting module comprises rated voltage setting and rated current setting; a worker of a control center can judge the severity of a fault in time through an on-site picture, so that the worker can be conveniently arranged to repair in time, and a signal transmission module transmits fault information to a personal terminal of an emergency maintenance worker in a wireless network transmission mode. The judgment of the control center on the fault safety level is sent to the personal terminal, and then the instruction sending module sends an emergency maintenance instruction to the personal terminal in a wireless network transmission mode and sends positioning information at the same time, so that the fault position can be timely and quickly found for safety maintenance; the power production safety monitoring efficiency is improved, and the power production safety risk is reduced.