88 results about "Aviation safety" patented technology

The present application discloses a system for scanning a shoe for illegal materials. The system includes an X-ray source for projecting a beam of X-rays onto the shoe, a detector array for detecting X-rays transmitted through the shoe and at least one metal detector coil for detecting metals within the shoe. The system produces a radiographic image of the shoe by processing the detected X-rays and data obtained from the at least one metal detector coil. Other embodiments are directed toward other screening technologies, including millimeter wave screening technologies.

Apparatus and methods are disclosed for passive millimeter wave measurements to provide tropospheric profiles of temperature, water vapor, cloud liquid water, pressure, and refractivity utilizing a single band microwave receiver operating in the vicinity of the water vapor emission line centered at 183.31 GHz or other millimeter wave water vapor line. Ancillary meteorological measurements may be provided to refine profile outputs. Retrieval method training adapts and refines system output to provide useful information for weather nowcasting and forecasting, aviation safety, transport of pollutants, prediction of fog and other weather phenomena, and radar and optical ducting prediction.

The invention provides an information processing method and device for an aviation safety report narrative text. The method comprises the following steps: firstly, preprocessing narrative texts of a plurality of aviation safety reports to obtain a word corpus; respectively training the word corpus by utilizing an LDA model and a word2vec tool to obtain the topic vector and the first word vector, and then carrying out procressing to obtain a second word vector based on the document, and calculating topic distribution of the word corpus according to a loss function of the lda2vec model; evaluating the topic distribution of the word corpus by utilizing topic coherence indexes; and finally outputting a topic interpretability result of the word corpus, thereby realizing topic modeling for a large-scale aviation safety report narrative text, and identifying a reported topic so as to reduce dependence on aviation field experts and related workloads.

The invention discloses a civil aircraft abnormal flight monitoring method and device, and relates to the technical field of aviation safety. The method including civil aircrafts and flight information comprises the following steps that (1) an information obtaining subsystem monitors civil aircrafts flying in a monitoring spatial domain via a monitoring device to obtain monitoring information; (2)the information obtaining subsystem obtains flight plan information from a civil aviation flight plan network, and transmits the obtained flight plan information and monitoring information to a dataprocessing subsystem; and (3) the data processing subsystem forms dynamic flight condition of the civil aircrafts from the received monitoring information, and screens the civil flight with abnormal route flight by combining the flight plan information and the flight information. The data processing subsystem integrates different types of monitoring data to form a real track of the civil aircraft,monitor the civil aircraft in real time, and master the flight situation of the route.

The invention discloses a multi-dimensional distance clustering anomaly detection method and system based on a time sequence, and belongs to the technical field of aviation safety. The multi-dimensional distance clustering anomaly detection method based on the time sequence comprises the following steps: step 1, preprocessing a trajectory data set, the preprocessing comprising cleaning and re-integration; 2, calculating the multi-dimensional similarity between the tracks; 3, for the multi-dimensional Hausdorff distance, constructing an inter-track similarity matrix; 4, carrying out a hierarchical clustering algorithm of the multi-dimensional hausdorff distance; selecting a hierarchical clustering algorithm in machine learning to perform hierarchical clustering based on the similarity matrix; and step 5, detecting the anomaly detection effect of the algorithm, constructing a track with anomalies in speed, direction, longitude and latitude, clustering the abnormal track with a normal track through the hierarchical clustering algorithm, and evaluating the clustering algorithm by selecting a correct rate, a precision rate, a recall rate and an F1 value.

The invention discloses a measuring device for high-speed multi-direction impact loads of liquid drips, and belongs to the field of fluid mechanics. Acceleration systems of the liquid drips and a sensor and the sensor capable of measuring the multi-angle impact loads are adopted, and through accelerating the liquid drips and the sensor and changing the inclination angle of colliding with a solid wall, positive pressure and tangential force which are generated by multi-angle impact, on the solid wall, of each liquid drip can be measured, wherein the impact speed of the liquid drip is lower than 100 m/s, and therefore the measuring device is better adapted to actual rain driving by wind. The measuring device has the advantages of being high in liquid drip impact speed and capable of measuring the multi-direction impact loads, and has important meaning for the fields of aviation safety, airworthiness authentication, high-speed train safety and high-rise buildings.

The invention provides an application system and method based on air-ground broadband communication, and belongs to the field of aviation communication and monitoring. The system comprises an airborne subsystem, a ground data processing subsystem and a ground analysis application subsystem. The airborne subsystem is arranged on an aircraft. The ground data processing subsystem and the ground analysis application subsystem are arranged on the ground. The airborne subsystem communicates with the ground data processing subsystem through a ground-air wireless communication network, and the ground data processing subsystem is connected with the ground analysis application subsystem. By means of the method, collection, downloading, decoding, verification and processing of aircraft data can be carried out, real-time information analysis and utilization of the aircraft data are achieved for the first time, and the method plays an important role in promoting real-time monitoring and air internet services in the aspects of aviation safety, operation management, aircraft maintenance and the like.

The invention relates to a safety rescue system of light plane, wherein it comprises injection gun (1), parachute sheath (2), parachute (3), un-locker (4), parachute line (5), explosive bolt (7), suspension ring (8), suspension band (9), signal line (10), alarm (11), and emergency rescue button (12). The invention is characterized in that: the tail of plane has parachute chamber (6) with parachute and injection gun; the parachute line is connected to the suspension band on the plane skin via un-locker. When in emergency, the alarm of chamber and the emergency rescue button work, via the signal line to explode the explosive bolt of chamber door, to open the parachute chamber cover, and the injection gun ejects the parachute (3); then the parachute opens, the plane can reduce speed and land safely; then the un-locker separates the plane and parachute. The invention has simple structure.

The invention relates to a rush stubble late rice waste grass covering ecological direct sowing method, comprising the following steps of: 1. preparation before sowing; (1) preparation of a rush field: a. weeding in the rush field, b. executing drainage and irrigation in the rush field; (2) seed preparation: a. seed selection, b. seed treatment; 2. seed sowing; 3. late rice management after rush harvest; (1) opening up nitches and gutters; (2) covering waste grass and weeding; (3) irrigating in the way that after irrigation, the water is immediately released, and after the soil begins to turn dry, irrigation is executed for a second time, and then the water is released again; (4) after the trefoil stage of seedlings, executing field rest, fertilization, weeding and irrigation, and preventing plant diseases and insect pests; (5) in the fourth-leave stage of the seedlings, regulating the density of the seedlings and irrigating the seedlings; (6) in the fifth-leave stage of the seedlings, executing weeding and irrigation; (7) when the top second leaf of the rice appear, executing fertilization; (8) from the booting stage to the heading and flowering stage of the rice, executing irrigation and preventing plant diseases and insect pests; and 4. harvest. The method is characterized by no generation of smoke, no influence on the local ecological environment, the aviation safety of nearby airports, and sowing time, low cost and high late rice yield.

The embodiment of the invention provides a method and system for predicting the remaining service life of an aviation fanjet. The method comprises: acquiring detection data of an aviation fanjet and determining a degradation stage of the aviation fanjet according to the detection data; acquiring a feature vector corresponding to the detection data based on an empirical mode decomposition method corresponding to the degradation stage of the aviation fanjet; and inputting the feature vector corresponding to the detection data into a pre-established aviation fanjet degradation model and outputting a remaining service life predicted value of the aviation fanjet. According to the invention, the current degradation stage can be determined based on the operating state of the aviation fanjet and the remaining service life is predicted; the regular maintenance period is extended; and the operation and maintenance costs are lowered.

The invention discloses an intelligent solar energy aircraft obstruction beacon system, comprising a backstage control center and multiple aircraft obstruction beacons; each aircraft obstruction beacon comprises an obstruction beacon body, an intelligent controller arranged in the obstruction beacon body and a solar cell for providing power for the obstruction beacon body and the intelligent controller; the intelligent controller is connected with the backstage control center; and the intelligent controller in any aircraft obstruction bacon is in wireless communication with the intelligent controllers in other aircraft obstruction beacons. The intelligent solar energy aircraft obstruction beacon system adopts a method of integrating after diffusing, adopts a GPSONE positioning technology and a wireless telemetry technology, realizes the intelligent positioning and remote monitoring, is simple in system maintaining and mounting and superior in performances, and can be widely applied in field of aircraft safety.

The invention discloses an aviation safety prediction method based on an LSTM-RBF neural network model. The aviation safety prediction method comprises the steps: S1, establishing the LSTM-RBF model;and S2, predicting the aviation safety by using the LSTM-RBF model; training cause event data samples by using an LSTM model, and analyzing the time sequence change trend of various cause events; an RBF model is used for training causal relationship between cause-causing events and aviation unsafe consequence event data, action weights of various cause-causing factors are calculated, and the modelpredicts the change trend of the aviation unsafe consequence events by researching the time sequence rule of the cause-causing events.

Disclosed is a wavelength tuning light bird dispeller which comprises a light source, a light-source driving source, a wavelength tuning control system, an optical focusing system, an optical collimation and beam expanding system, a light beam scanning system, a photoelectric control system, a remote control system and a two-dimensional mechanical rotating platform. The light source can output in a tuning manner with a single wavelength, or output in a tuning manner with several fixed wavelengths or output in a tuning manner with wavelength in a certain spectrum band, serious problems of few bird dispelling species, poor single wavelength adaptability of birds and the like of existing single-wavelength laser bird dispellers are solved, bird dispelling species are widened greatly, and bird dispelling effect and bird dispelling efficiency are improved greatly, thus the wavelength tuning light bird dispeller can be widely applied to places such as airports, orchards, forest farms, aquaculture farms, power stations, urban environmental protection areas and natural ecological preservation areas, can promote aviation safety, agriculture, fishery and forestry development, bird preservation, ecological balance and the like greatly, and can bring immeasurable economic and social benefits.

The invention discloses a survivability assessment model method based on a BP neural network wide area information management system, and relates to the field of civil aviation information system safety. The method can help civil aviation related departments to make accurate assessment, guarantees the safety and quality of aviation operation, and lays a foundation for construction of a safe air traffic management information interaction platform. The survivability of a wide area information management system (SWIM) is a new direction for civil aviation research, a SWIM survivable PDRRDR modelis constructed, a three-layer relation corresponding to the SWIM survivable PDRRDR model is established by adopting a BP neural network method, and the survivability of the SWIM is evaluated and verified. The provided SWIM survivable PDRRDR model and evaluation method are good in adaptability, high in fault-tolerant capability and efficient and accurate in evaluation, an effective scientific meansand tool are provided for complex SWIM survivability evaluation, continuity of civil aviation safety in China is guaranteed, and the method has important significance for development of air traffic management of the next generation of China.

The invention discloses a civil aviation safety risk index prediction method based on PCA and a deep belief network, and the method mines a mapping relation between a civil aviation unsafe event and acivil aviation safety risk index, and builds a civil aviation safety risk prediction model by applying a principal component analysis method and the deep belief network. The method solves the problems that the civil aviation risk prediction method in the prior art has too few influencing parameters and a simple mathematical model has a poor prediction effect along with the increase of the data volume.

Embodiments of the invention provide a civil aviation radio safety early warning apparatus and method. The device comprises a spectrum sensing node, a data center and a display terminal. The spectrum sensing node comprises a radio monitoring antenna, a radio monitoring module, an ADS-B receiving antenna, an ADS-B module, an aviation band AM receiving antenna, an AM receiving module and a data processing module. The radio monitoring antenna is connected with the radio monitoring module. The ADS-B receiving antenna is connected to the ADS-B module. The aviation band AM receiving antenna is connected to the AM receiving module. The radio monitoring module, the ADS-B module and the AM receiving module are connected to the data processing module. The data processing module is connected to the data center. The data center is connected to the display terminal. Therefore, the automation of radio interference search is achieved, the timeliness of radio interference search is improved, and the safety of aviation is ensured.