6results about How to "Learn about security" patented technology

The invention discloses a system and a method for detecting personnel intrusion based on multi-camera view crossing, and relates to the technical field of workshop safety environment monitoring, a visual perception module comprises a plurality of image acquisition devices arranged in a workshop, and realizes comprehensive coverage of pedestrian road occupying positions in the workshop; the personnel intrusion detection algorithm module carries out real-time processing on image information transmitted by the visual perception module, realizes identification and prediction on intrusion behaviors of personnel in a workshop, transmits an output prediction target to the alarm and response module, and carries out online alarm immediately through the switching value wireless unvarnished transmission module when the intrusion behaviors exist. An alarm signal is transmitted to the integration and control module so as to control emergency stop of the truss; the integration and control module is used for being responsible for overall integration and configuration work of the system. The system has the advantages of high recognition precision, complete view scene coverage, online alarm and the like, and provides powerful guarantee for safe production of workshops.

The utility model relates to the technical field of building engineering monitoring, and discloses a foundation pit engineering monitor for a high-rise building, which comprises a column body, and detection cavities arranged at equal intervals are formed in the column body. According to the foundation pit engineering monitor for the high-rise building, real-time monitoring of different positions and depths of a foundation pit can be realized through the action between the detection cavity and the detection rod, so that the stability and safety of the foundation pit can be known more comprehensively; and under the cooperative action of the pressure sensor, the mounting plate, the displacement sensor, the tension spring and the abutting plate, monitoring data are enriched, workers are helped to better master specific conditions in the foundation pit, and therefore multi-point and multi-dimensional real-time monitoring can be achieved, the comprehensiveness and accuracy of the monitoring data are improved, and the working efficiency is improved. And then under the action of the horizontal adjusting assembly, it can be ensured that the column body is horizontal in the deep foundation pit, so that it is ensured that the column body can be kept in the horizontal state in the installation process, and the accuracy of monitoring data is improved.

The invention belongs to the technical field of medical equipment, and discloses a clinical inpatient nutrition diet matching reminding device which comprises a main body frame, a side protection plate is fixedly installed at one end of the main body frame, a displayer is fixedly installed in the middle of the side protection plate, and a loudspeaker box is embedded in the bottom of one end of the main body frame. The top of one end of the main body frame is slidably connected with a camera; a stabilizing assembly is installed at the bottom end of the inner wall of the main body frame, the stabilizing assembly comprises a rotating sleeve rotationally connected to the interior of the main body frame, a concave frame is vertically and movably connected to the interior of the rotating sleeve, and a turnover plate is rotationally connected to the interior of the concave frame. Therefore, the patient can more visually know the safety of eating the diet, so that the patient can be effectively prevented from eating food which cannot be eaten by mistake, the health of the user is protected, and the recovery efficiency of the patient is indirectly improved.

The application relates to the technical field of construction safety management, and discloses a power engineering construction safety management system, which comprises a real-time risk assessment scheduling unit, a forward-looking human factor risk perception unit and a risk simulation mapping unit. The real-time risk assessment scheduling unit is used for generating a safety state characteristic map based on heterogeneous safety data of a construction site, identifying a risk event of the construction site through the safety state characteristic map, and generating an intervention instruction and a resource scheduling scheme to optimize the construction site. The application can comprehensively capture multi-dimensional information of the construction site by collecting personnel biological characteristics, equipment operation logs, environmental indexes and work video streams and other heterogeneous safety data through a multi-modal perception unit, breaks the limitation of single and one-sided data collection in the traditional management mode, and enables management personnel to obtain more rich and comprehensive on-site safety information, so that the overall safety condition of the construction site can be more clearly understood.

The invention discloses a cloud platform information digital monitoring system and method based on big data, and relates to the technical field of digital monitoring, the system comprises a data acquisition module, a cloud platform, a data analysis module and a security module; the data acquisition module is used for acquiring feature data of a security event; the cloud platform is used for storing feature data of historical security events, non-occurring security events serve as special security events, and the feature data are also stored in the cloud platform; the data analysis module analyzes the type of the security event; the security module processes the security event; by presenting the occurrence probability of various security events, a manager is helped to better understand the security condition of the cloud platform, a basis is provided for processing the security events, the direction of tracking and processing the security events is given to the manager, and potential security problems can be found and solved in time; and processing measures are taken according to different types of security events, so that the security and the stability of the cloud platform are improved.

The present invention discloses a pipeline safety feature extraction method based on a Gram angle field, which relates to the technical field of pipeline monitoring, and solves the technical problems that it is difficult to convert pre-processed time series data into images, and it is difficult to extract and analyze pipeline parameters based on the converted images; then, it is difficult to analyze pipeline operation anomalies; finally, it is difficult to comprehensively analyze pipeline safety feature values ​​​​and set thresholds to evaluate pipeline safety levels. The present invention includes the following modules: a data acquisition module, a data processing module, a parameter extraction module, a data analysis module, and a safety assessment module. The pre-processed time series data is converted into an image using the Gram angle field method, and then the pipeline parameters are extracted and analyzed. According to the image, the pipeline operation anomalies are analyzed to monitor the safety status of the pipeline in real time; the pipeline safety feature values ​​are analyzed based on various data and the pipeline safety level is evaluated to ensure the safe operation of the pipeline.