271 results about "Detection early" patented technology

The invention discloses a civil aviation air traffic control network security detection early warning platform. The platform comprises a security information collector, a website and application monitoring unit, a situation analysis center and a distributed computing storage node; the security information collector comprises an asset collector, a log collector, a full-flow collection system, a vulnerability collector and a security configuration collector; the website and application monitoring unit provides real-time safety monitoring; the situation analysis center adopts multiple intelligent analysis methods to analyze situation elements, perceives various network security situations and carries out security monitoring, and provides a security situation visual display and application interaction interface; and the distributed computing storage node realizes distributed storage, full-text indexing and analysis of security events. By adopting the civil aviation air traffic control network security detection early warning platform of the technical schemes provided by the invention, a long-acting monitoring mechanism and unified website monitoring and early warning can be established, so that centralized management, batch processing and automatic safety monitoring of the safety of each website are realized, and the safety risks of important websites and information systems are comprehensively summarized.

The invention relates to a green building comprehensive detection device based on Zigbee. The green building comprehensive detection device comprises a support, a data acquisition module, a Zigbee wireless transmission module, a mobile power supply, a transformation module and an upper computer. The data acquisition module, the Zigbee wireless transmission module, the mobile power supply and the transformation module are all installed on the support, the mobile power supply and the transformation module are connected with the data acquisition module and the Zigbee wireless transmission module respectively through a power line, and the data acquisition module is connected with the upper computer through the Zigbee wireless transmission module. Compared with the prior art, the green building comprehensive detection device has the advantages that various detection functions are integrated, various detection data are integrated through a Zigbee wireless data transmission technology, semi-automatic control of a detection instrument is achieved, detection early-stage preparation work is effectively reduced, an assembled structure is adopted, and the green building comprehensive detection device is easy to demount and assemble and convenient to carry.

The invention discloses a cable detection and early warning method and apparatus. The method comprises the following steps: regularly acquiring cable monitoring data; evaluating the cable monitoring data according to a preset cable detection early warning model; and transmitting an early warning signal according to an evaluation result. By adopting the cable detection and early warning method andapparatus provided in embodiments of the invention, various monitoring technical means are used for implementing the state monitoring and real-time patrol inspection for cables and accessory devices thereof, and the traditional periodic patrol inspection mode is changed, so that the manual patrol inspection workload can be greatly alleviated, and the manpower and transportation expense caused by the manual patrol inspection can be reduced; and by virtue of the monitoring data analysis, power cable defects, tunnel environment potential hazards and potential malfunctions can be discovered in time and can be early warned, precautions can be taken, the state examination can be dynamically arranged, so that the failure of the cable device can be greatly reduced, electric power accidents as wellas consequent invaluable economic loss caused by the failure of the cable tunnel can be prevented.

The invention relates to a secondary device status maintenance and evaluation system, which comprises a data collecting module, a data processing module, a detection early-warning module, a status evaluation module and a status diagnosis module. Through the statistics of basic information, defects and protection action information of secondary devices such as relay protection, safety automatic device and the like, the running status of the secondary device is comprehensively analyzed and evaluated, so that an operable evaluation report of the secondary device is provided for the management personnel, and the management personnel can sequentially make a maintenance plan for the secondary devices. Simultaneously the secondary device status maintenance and evaluation system is easy to operate and maintain and has expandability.

The invention provides an automatic early warning fire extinguishing method for preventing a vehicle from spontaneously combusting. The inside of an engine case is provided with a central processing unit, a temperature sensor, a gas sensitive sensor, a laser probe, a photoelectric smoke sensor, a direct current over-current protector, a power relay, an oil circuit switch and a fire extinguisher. The central processing unit is connected with the temperature sensor, the gas sensitive sensor, the laser probe, the photoelectric smoke sensor, the direct current over-current protector, the power relay, the oil circuit switch and the fire extinguisher through a data wire to form a detection early warning fire extinguishing system; the outside of an oil supply pipeline which is connected with an engine is covered with a transparent plastic pipe; an oil absorption discoloration flame retardant material is filled between the oil supply pipeline and the transparent plastic pie to form an oil supply pipeline protection structure; and a brake oil tank and an engine oil tank which are arranged at the periphery of the engine are isolated through a flame retardant plate. The automatic early warning fire extinguishing method has the advantages that: the design is scientific and rational; the method gives priority to preventing the pipeline from oil leakage and short circuit, and is supplemented by the passive fire extinguishing; and even though the spontaneous combustion is caused by the fire of the circuit after the oil leaks, the central processing unit can cut off the power relay and the oil circuit switch as soon as possible, so the loss of the spontaneous combustion is minimized.

The invention discloses an anomaly detection early warning method and system. The method comprises the following steps: configuring monitored service indexes on a monitoring platform, and storing configuration information of the service indexes into a database; triggering an offline model training module, training a model offline, and uploading the trained model to a distributed file system, wherein the model is used for predicting monitoring indexes; pushing the index data to a distributed message queue system in real time; loading the configuration information and then storing the model, consuming the index data from the distributed message queue system in real time, taking the index data as input of the model to obtain a prediction result, and judging whether the index data is abnormalor not; and when the index data is abnormal, writing back alarm information of monitoring abnormality to the distributed message queue system, and reading the alarm information from the distributed message queue system in real time by the client. According to the invention, the monitored index data can be consumed in real time and whether abnormality exists or not can be detected, the detection delay problem of the monitoring index is reduced, and the early warning efficiency is greatly improved.

The invention provides a height detection early warning system and method and a vehicle, belonging to the vehicle field. The height detection early warning system comprises a detection device for detecting a height of a barrier channel right in front of the vehicle and a control device; the control device is connected to the detection device for comparing the height of the detected barrier channel with a pre-stored vehicle height, and outputting an early warning signal under a condition that the height of the barrier channel is lower than the vehicle height. The height detection early warning system and method and the vehicle can promptly output the early warning signal under the condition that the height of the barrier channel in front of the vehicle is lower than the vehicle height in order to provide an early warning prompt to a driver, remind the driver that the height of the ahead barrier channel is not enough for the vehicle to pass safely and thus prevent an accident caused by height limitation of the barrier channel.

The invention relates to an early warning application system, and in particular relates to a road abnormal roar detection early warning application system. A method is implemented by the following steps of market requirements and current technology analysis, and operation steps. The road abnormal roar detection early warning application system is simple in structure, performs monitoring managementon abnormal audios generated by illegal refitted vehicles, and provides data support for management and control by the traffic police.

The invention relates to the technical field of water area detection and relates to a water area detection early warning method based on a graph neural network. The method comprises the following steps of: (1) data acquisition: performing water surface cruising in a to-be-detected water area by adopting an overwater robot, and acquiring water quality and environmental data of the to-be-detected water area; (2) constructing a graph neural network model of the to-be-measured water area; and (3) water quality condition prediction: learning and predicting the water quality condition of the to-be-detected water area by utilizing the graph neural network model of the to-be-detected water area. A pollution source in the to-be-detected water area is positioned by adopting the overwater robot in the prior art, and accurate prediction of the water quality of water areas with different shapes and sizes is completed by utilizing spatial position information of the pollution source and adopting a method of constructing the graph neural network model and learning the graph neural network model. Compared with an existing detection and early warning method of a fixed monitoring station, the methodhas better universality.