41results 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 provides a safety monitoring method and system. The method comprises the following steps of: sending safety monitoring information to a service terminal by a checking and monitoring center, wherein the safety monitoring information comprises a preset monitored page and a monitoring mode; generating behavior logs corresponding to the monitored page by the service terminal according to the safety monitoring information; and uploading all the behavior logs to the checking and monitoring center. In the embodiments of the invention, services are counted in batches and recorded in the forms of logs through the service terminal according to the safety monitoring information, thereby sensitive information of the page is effectively extracted, the requirement of afterwards tracing can be met, the quality of safety monitoring is improved conveniently, and the safety monitoring efficiency is further improved.

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 a system and a method for detecting computer security information based on U disc authentication. The system comprises a data collecting terminal and a data analyzing processor, wherein the data collecting terminal comprises an embedded micro processor, an SDRAM memory module, a FLASH memory module, a serial communication circuit module, a USB interface circuit module, a network card, a touch screen driving circuit module, an authenticated U disc, a touch screen and a power supply managing module; the method comprises the steps of firstly, initializing system parameters; secondly, collecting data and performing encrypted signature; thirdly, securely storing and protecting a data file; fourthly, transporting the data; and fifthly, analyzing and processing the received data with the data analyzing processor to obtain an analytic processing result, and storing and displaying the result. The invention has novel and rational design, convenient implementation, convenient use and operation, high real-time capability and accuracy of data collection and transportation, high monitoring efficiency of the security of the computer, flexible and convenient use, strong practicability and high popularizing and applying values.

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 embodiment of the invention provides a host security detection method and system based on central management, and the method and system are used for improving the efficiency of host security detection based on central management. The method comprises the steps: clients in multiple hosts of different users separately acquire log information of corresponding hosts and upload to a cloud platform, the cloud platform is arranged in public network, and one client is arranged on each to-be-security detected host; the cloud platform separately forwards the log information security management platforms which users corresponding to the log information belong, and the cloud platform comprises at least one security management platform; and the security management platforms separately analyze the log information and generate security threat information according to the log information and display to the users.

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 discloses a distributed energy storage safety monitoring method and an Internet of Things system, and the method comprises the steps: monitoring and sensing the operation data of LNG storage equipment through a data collection unit, carrying out the symmetric encryption of the sensing information, and transmitting the information to an LNG distributed energy management platform through a corresponding sensing network platform; the management platform decrypts the encrypted sensing information, judges abnormal data in the sensing information according to an abnormal judgment condition, and performs pseudo data verification and labeling at the same time; performing anomaly prediction analysis and alarm on the equipment operation data according to an early warning mechanism; according to the tank container number of the equipment corresponding to the abnormal data, giving an alarm prompt to field maintenance personnel, and carrying out inspection processing; and the field maintenance personnel performs bidirectional confirmation with the management platform after completing inspection processing. According to the invention, abnormal data can be judged, pseudo data verification and screening can be carried out on the abnormal data, an alarm prompt is sent to maintenance personnel through an early warning mechanism, abnormal storage equipment is maintained, and the safety supervision efficiency of energy storage is improved.

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.

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.

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 relates to a network security monitoring system based on situation awareness, in particular to the technical field of system security data processing, and the system comprises a data collection module which is used for collecting system security data in real time, and the system security data comprises node data, network data and application data; the data storage module is used for storing system security data acquired in real time and is connected with the data acquisition module; the data analysis module is used for performing data analysis on the system security data and generating a data analysis result, and is connected with the data storage module; the security judgment module is used for carrying out security judgment on the system according to the data analysis result and is connected with the data analysis module; and the safety early warning module is used for performing different degrees of safety early warning according to the safety judgment result and is connected with the safety judgment module. According to the invention, the security monitoring efficiency of the system data is effectively improved.

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 a construction site safety monitoring and early warning system based on photoelectric control, and relates to a construction site safety technology. The construction site safety monitoring and early warning system based on photoelectric control comprises a graphic image module, a digital signal module, a data analysis module, a central control module and an early warning module. The digital signal module is provided with a pulse current frequency, the data analysis module judges the safety condition of the construction site according to the pulse current frequency change of the digital signal module, and a safety equipment offset interval is further arranged in the data analysis module; the data analysis module analyzes whether the offset of the safety equipment exceeds a preset safety equipment offset interval or not according to the image data of the graphic image module, so that the central control module sends different instructions to the early warning module according to the data analyzed by the data analysis module; the early warning module further sends early warning information to safety personnel and constructors, and the environmental safety of the building construction site is improved.

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 provides a network data safety detection method and a safety detection server. Among them, the security detection method of network data includes: grabbing the data packets transmitted in the network; grouping the data packets to restore the transmission control protocol TCP connection data, identifying the application layer protocol used by the TCP connection data; The security scanning module performs security scanning on TCP connection data. Utilize the technical scheme of the present invention, after grabbing data packets and grouping them, perform data security monitoring according to the application layer protocol corresponding to the data packets, and perform protocol analysis on the basis of the reorganized application layer protocol data, which is highly targeted and can Identify network attacks quickly and efficiently, improving network security.

The invention discloses a lithium battery production safety monitoring method, device and equipment and a medium. The method is applied to the field of computers, and the method comprises the following steps: receiving production information reported by production monitoring equipment; analyzing whether a production material of the lithium battery is abnormal or not according to the production information, wherein the production material comprises at least one of an electrolyte raw material for producing the lithium battery, a nitrogen raw material for producing the lithium battery and a battery core of the lithium battery; and when the production material of the lithium battery is abnormal, outputting alarm information. According to the method, through an internet-of-thing cloud platform,whether the production material of the lithium battery is abnormal or not is judged according to the production information, reported by the production monitoring equipment, of the production material of the lithium battery, so that alarm information is generated in time, and workers are warned of abnormal conditions.

The embodiment of the present invention provides a method and system for security detection of a host based on centralized management, which are used to improve the efficiency of security detection of a host based on centralized management. The method in the embodiment of the present invention includes: the clients deployed on multiple hosts of different users respectively collect the log information of the corresponding hosts and upload them to the cloud platform, the cloud platform is deployed in the public network, and each host that needs security detection One client is installed; the cloud platform forwards the log information to the security management platform to which the user corresponding to the log information belongs, and the cloud platform includes at least one security management platform; the security management The platform respectively parses the log information, generates security threat information according to the log information, and displays it to the user.

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.