464 results about "Wide area" patented technology

The invention belongs to the technical field of intelligent power grids, and particularly relates to a circuit breaker control method, system and device of the intelligent Internet of Things, and the method comprises the steps: obtaining the operation data of a sensor; data extraction is carried out on the operation parameters of the sensor, the operation parameters are transmitted to a cloud server through the wide area Internet of Things for analysis, and whether the circuit breaker has an abnormal condition or not is judged according to a preset rule and a historical data training model; if an abnormal condition exists, based on a risk assessment matrix and real-time data monitoring, generating a safety control strategy and establishing a strategy library, performing different-level response according to an abnormal type, and generating a control instruction; and after an instruction is received, dynamically adjusting parameters according to the state of the circuit breaker, interactively verifying the instruction through the block chain node, operating the circuit breaker according to a safety control strategy after the instruction passes, and meanwhile, feeding back and adjusting the strategy. Therefore, the problems that in the prior art, the data processing dimension is single, strategy response lags behind, and the abnormal type recognition capacity is insufficient are solved.

The invention relates to an active splitting and isolated island operation method based on load importance under a disaster condition, and belongs to the technical field of power systems and automation thereof. On the basis of disaster types and power supply area characteristics, constructing a load importance dynamic grading system, optimizing the weight through an analytic hierarchy process-index weight optimization collaborative algorithm, and combining with real-time updating to generate a grading result; the method comprises the following steps: deploying wide-area and local monitoring devices to collect power grid data, setting a safety threshold, triggering a splitting decision when the safety threshold exceeds the limit and the trend deteriorates, calculating an instability rate by using a multi-parameter collaborative instability pre-judgment algorithm, and starting pre-splitting preparation; and the main control center calls a target splitting section optimization algorithm to determine a section in combination with the grading result and the power grid data, generates a splitting instruction after verifying the stability of the island through load flow calculation, and performs classified stability control on the split island. The method can realize accurate load grading, early instability pre-judgment, guarantee of important load power supply such as medical treatment and the like, reduces catastrophe loss, and is suitable for power grid management and control under various disasters.

Systems and methods for facilitating traffic steering via an SRv6 network by SD-WAN CE nodes without requiring the SD-WAN CE nodes to have SRv6 routing capabilities is provided. According to one embodiment, an end-to-end SRv6 tunnel is established through the SRv6 network between a source SD-WAN CE node associated with a first LAN and a destination SD-WAN CE node associated with a second LAN. LAN-side traffic originated by the first LAN and destined for the second LAN is received by the source SD-WAN CE node. Based on the LAN-side traffic, the source SD-WAN CE node, may encapsulate the LAN-side traffic as payload of an IPv6 packet, including incorporating path information within an IPv6 SRH to instruct PE / P nodes of the SRv6 network how to steer the IPv6 packet through the SRv6 network. Forwarding the encapsulated LAN-side traffic by the SD-WAN CE node through the SRv6 network via the SRv6 tunnel.

The invention discloses a landslide hidden danger grading and risk assessment method and system considering earth surface deformation, and the method comprises the steps: S1, extracting index data corresponding to disaster-inducing factors, disaster-pregnancy factors and disaster-bearing factors, generating a landslide hidden danger risk assessment factor database, and constructing a landslide hidden danger risk assessment factor system; s2, generating a potential landslide slippage range; s3, determining hierarchical relationships of the landslide hidden danger risk evaluation factor system, including a target layer-factor layer and a factor layer-index layer, and solving weight coefficients of the two hierarchical relationships; and S4, carrying out standardization and weighted summation on the numerical value of each index to obtain a landslide hidden danger risk score value, and classifying the landslide hidden danger risk score value to obtain a landslide hidden danger risk grade. According to the grading method for the potential landslide hidden dangers, the disaster-inducing factors, the disaster-pregnancy factors and the disaster-bearing factors are integrated, and technical support is provided for rapid screening of wide-area high and medium-prone landslide hidden dangers.

The invention discloses a dam leakage monitoring system and method based on optical fiber sensing and time-space fusion. The dam leakage monitoring system comprises an optical fiber sensing system, a data processing and analyzing system, a dam leakage data management system and a real-time monitoring platform. According to the invention, the distributed optical fiber realizes continuous strain and temperature monitoring of the whole length of a dam, a leakage area can be roughly positioned, an FBG sensor is deployed at a key position, local tiny deformation is accurately monitored, a cooperative mode is formed by combining wide-area screening of the distributed optical fiber and key diagnosis of the FBG, and the monitoring efficiency is improved; the all-fiber passive design is adopted, the environmental adaptability is high, the anti-interference performance and the long-term stability are high, frequent maintenance is not needed after the fiber is embedded into the structure, and the operation and maintenance cost is reduced; finally, the leakage risk is displayed through a trend curve of a visual data platform, alarm pushing and emergency plan functions are automatically triggered, the closed-loop time of monitoring, decision making and response is shortened, and the real-time performance and decision-making force are improved.

A system and associated methods provide solutions for end-to-end privacy and per-hop routing and policy decision in multi-hop and Software-Defined Wide Area Networks (SD-WANs) by leveraging unique SDWAN edge identities of edge devices. The system enables end-to-end encryption between traffic source and destination sites using IPsec ESP tunnel mode, with System IPs as the outer IP addresses. The system further enables per-hop integrity protection using IPsec AH transport mode, with WAN IPs as the outer IP addresses. By having some information encrypted between a source device and a destination device and other information encapsulated between hops (e.g., between source device and an intermediate device), the system enables route and policy lookup based on destination site System-IP, along with integrity protection based on SLA-class in packet metadata for independent path selection at intermediate hops.

The invention discloses a dust falling device for a civil engineering construction site, and relates to the technical field of building construction, the dust falling device comprises a spraying pile, the bottom of the spraying pile is fixedly connected with a device cavity, the device cavity is internally provided with a multifunctional processing mechanism, and an auxiliary guide self-cleaning mechanism is arranged above the multifunctional processing mechanism; through the arrangement of a multifunctional processing mechanism, a driving telescopic rod stretches out and draws back to drive a fan-shaped groove body to move in the vertical position, so that an arc-shaped sliding rod is indirectly controlled to change the deflection angle of an auxiliary column in the vertical direction, and when the dust raising range is enlarged, the fan-shaped groove body shrinks to control the auxiliary column to drive a spraying pipe to deflect upwards; the inertia principle of spray is fully utilized, when the spray is sprayed out from the spray end at a high speed, due to inertia, the spray can continue to keep an upward movement trend, so that the spray is diffused to a higher and wider area, the spray can effectively cover raised dust generated by high-rise construction, a raised dust source is accurately hit, and efficient dust falling is achieved.

The invention relates to the technical field of robots, in particular to a heterogeneous robot cooperative three-dimensional inspection planning method under a vertical structure facility. Obtaining point cloud data of a target facility of a vertical structure; according to the point cloud data, a three-dimensional convex hull enhancement algorithm is adopted to generate a target facility minimum convex polygon describing a vertical structure; determining a cruise starting point and a cruise ending point of the unmanned aerial vehicle based on the minimum convex polygon; performing path planning between the cruise starting point and the cruise ending point of the unmanned aerial vehicle by adopting an improved A star algorithm, and determining a global inspection path of the unmanned aerial vehicle; performing routing inspection according to the determined global routing inspection path to obtain a global routing inspection result; determining a to-be-inspected position of the climbing robot in the minimum convex polygon according to the global inspection result; and determining a vertical inspection path of the climbing robot by adopting an improved branch and bound algorithm according to the to-be-inspected position. According to the invention, more efficient, safer and more intelligent inspection operation can be realized, and the flexibility and efficiency of task execution are improved while a wider area is covered.

The invention discloses a land space use control compliance intelligent identification and auxiliary determination system, and relates to the technical field of digital treatment. A data management module receives multi-source heterogeneous time sequence data to construct a dynamic graph structure substrate, and a probability scheduling module predicts global potential conflict probability by using a space-time graph neural network and performs calibration in combination with a historical conflict database; the graph enhancement module positions a key conflict path and a core node by reversely updating a conflict knowledge graph, and the reasoning execution module activates a rule engine to execute accurate matching in a region to be subjected to fine detection and outputs a deterministic conflict identifier; the fusion decision module finally fuses probabilistic prediction and rule judgment results to generate a mixed conflict list, and the feedback module sends the mixed conflict list to the execution terminal and optimizes the model based on feedback. According to the method, multi-level and self-adaptive identification of the land and space purpose conflict from wide-area prediction to accurate judgment is realized, and the supervision efficiency and the decision accuracy are improved.

This application provides a method for secure message transmission, a method for negotiating IPsec SAs, and related apparatus, applicable to wide area networks (WANs). In scenarios spanning multiple tunnel segments, by extending BGP routing and based on VRF granularity, an IPsec SA for end-to-end security protection is negotiated between a first edge and a second edge. After the first edge securely protects VPN service messages based on the IPsec SA, it sends the messages through the overlay end-to-end tunnel between the first and second edges. The second edge processes the messages based on the IPsec SA to obtain the VPN service messages. In this application, security protection only needs to be performed once at the first edge; intermediate nodes do not require encryption / decryption processing, thus ensuring secure message transmission while improving transmission efficiency and reducing transmission latency.

Earthquake detection via fiber sensing is provided using using a supervisory path of submarine cables wherein the supervisory system / path of a submarine optical cable conveys portion(s) of an optical signal back to an origin location periodically—i.e., at every repeater location. Advantageously, since it is known where a returning signal is coming from, a resolution equivalent to an undersea span length may be determined—which is sufficient for wide area disturbances such as earthquakes. The returned signal is sufficiently strong such that the signal-to-noise ratio of a returned / received signal is not limited by the ASE noise of the amplifiers. The returned signal is much larger as compared to a normal distributed acoustic sensing (DAS) return signal since the return signal according to aspects of the present disclosure is directed backward via an optical coupler / reflector / circulator having a much larger coupling ratio as compared to normal Rayleigh back scattering utilized in DAS.

The invention discloses an unmanned vehicle cloud cooperative wide area sensing method and system based on sky-ground feature fusion, and the method comprises the steps: vehicle end data processing: carrying out the processing of a laser radar point cloud through PointPill volume cylindricity in combination with an FPN-ResNet backbone network, generating a BEV feature map, outputting a target detection result containing the information of a three-dimensional coordinate, a course angle and the like through a detection head, and carrying out the detection of the target detection result; then, an AB3DMOT multi-target tracking algorithm is utilized to associate detection results into a track set, and then the BEV feature map, the track set and vehicle pose information are packaged, compressed and uploaded to a cloud end; cloud data processing: after receiving the data, the cloud decompresses the data to obtain a BEV feature map, a track set and vehicle pose information, and then performs feature fusion and track fusion; and the vehicle end fuses the received information fused by the cloud end with the characteristics of the vehicle at the current moment, eliminates the delay, and finally obtains a vehicle-cloud cooperative sensing result. The real-time performance of the sensing result can be guaranteed, and timely and accurate environment information support is provided for automatic driving decision making.

The invention discloses a network congestion control method and device based on a fuzzy rule, and the method comprises the following steps: setting a corresponding fuzzy rule according to network types which comprise a data center network and a wide area network; network parameters are obtained, fuzzification processing, fuzzy reasoning and defuzzification are carried out on the network parameters, an adjustment factor delta F is obtained, and the network parameters comprise the bandwidth utilization rate, the ECN marking rate and the queue length; obtaining the size of the current congestion window, and adjusting the size of the congestion window in real time according to the delta F; a current network type is detected between the fuzzification processing step and the fuzzy reasoning step, a corresponding fuzzy rule is selected according to the detected network type in the fuzzy reasoning process, and a weight coefficient corresponding to each network parameter is dynamically adjusted. According to the network congestion control method based on the fuzzy rule, the network congestion window can be adjusted in real time, intelligence and automation of network congestion control are achieved, and the network management efficiency is improved.

Solutions are disclosed that enable capacity-aware local repair of tunnels in packet switched wide area networks (WANs). Traffic engineering agents on the routers are programmed to create the tunnels and include sets of primary and alternate tunnels sharing the same source and destination. A tunnel source router is provided a traffic split for allocating incoming traffic to its primary and alternate tunnels for when the primary tunnel is operating at or near full capacity operation, and another traffic split that shifts at least some traffic from the primary tunnel to the alternate tunnel, when the primary tunnel's capacity drops below a threshold. A tunnel may lose capacity for commonly-occurring reasons, such as a disturbance to cabling and faults in optical transceivers. Traffic engineering agents along the tunnel report capacity to the tunnel source router, permitting the network to respond to capacity changes more rapidly than waiting for network tunnel reconfiguration.

The present disclosure refers to aerial systems for cameras, typically for stabilized cameras, and also called suspended camera systems, which allow to move a camera through a three-dimensional space by means of cables. The present disclosure includes an aerial system for a camera, which comprises a main axle and at least three arm axles, the arm axles being perpendicular to and independently rotatable around said main axle. The arm axles are coupled to arms which in turn couple to a cable which is fed and reeled from a main reel for feeding and reeling a cable, and, upon coupling of a cable to each arm, the cables support a camera head coupled to the said means for coupling. The solution of the present disclosure enables, including through the provision of arm axles which rotate in relation to a main axle and independently from each other, to reach a wider area.

To provide a buried object detection device capable of detecting buried objects more accurately over a wider area, and a buried object detection method.SOLUTION: The buried object detection device includes: a radar data processing unit that converts multiple radar data measured by an underground measuring device into images: a buried object detection unit that detects buried objects from the images of the radar data; an underground feature detection unit that detects a characteristic portion that is different from the buried object in the images of the radar data; an alignment unit that calculates alignment information for multiple radar data alignment based on the detection results from the underground feature detection unit; and a result integration unit that integrates the buried object detection results based on the output result of the buried object detection unit and the output result of the alignment unit.SELECTED DRAWING: Figure 1

The invention provides a multi-target adaptive optical tracking method and system for an unmanned intelligent turntable. The method comprises the following steps: acquiring a video stream and turntable attitude data on an unmanned intelligent turntable; carrying out scene understanding operation on the video stream, fusing the dynamic attention area and extracting spatial distribution information of a plurality of moving targets in a rotary table coordinate system; calculating an optical deformation parameter of the liquid lens, and driving the liquid lens to execute non-uniform optical curved surface adjustment, so that a focus area simultaneously covers a plurality of spatially dispersed moving targets; receiving distance data fed back by the distance measuring equipment, carrying out cross validation on the distance data and actual optical parameters of the adjusted liquid lens, and generating a cooperative calibration instruction when the deviation exceeds the tolerance; and synchronously updating the dynamic region of interest identification logic of scene understanding and an optical deformation parameter calculation strategy according to the instruction. According to the invention, the stability and spatial positioning precision of multi-moving-target tracking in a wide-area complex scene are improved.

This disclosure describes techniques and mechanisms for enabling and enforcing user behavior aware policies within an enterprise network. The techniques include receiving flow data and learning network traffic patterns and user behavior patterns of user(s) of the network. The techniques map user(s) to behavior group(s) based on forecast(s) and historical data of network conditions and / or user behavior patterns. The techniques monitor the flow data and dynamically re-map user(s) to new behavior group(s) based on real-time user behavior and / or real-time network conditions. Mapping(s) and / or updated mapping(s) and user behavior aware policies may be sent to edge device(s) for enforcement. The edge device(s) may dynamically prioritize a link, de-prioritize a link, block traffic, drop traffic etc. for user(s). The techniques may extend application aware and user aware routing policies to account for dynamic user behavior and network conditions, provide improved application experience and network utilization.

The present disclosure describes illumination methods and systems for illumination and sequencing applications that can be utilized for, for example, microscopy and sequencing platforms. The methods and systems of the present disclosure can provide wide area, flat illumination, which can reduce error and improve system throughputs.

The invention discloses a novel broadband oscillation wide-area monitoring method for an electric power system. The method comprises the following steps: acquiring electric signal waveforms of key nodes of the electric power system at each substation; each substation performs modal decomposition and feature extraction on the electric signal waveform, identifies the broadband oscillation type to obtain a preliminary pre-judgment result, and stores a corresponding broadband oscillation electric signal, namely a to-be-compressed broadband oscillation electric signal; each substation performs secondary sub-sampling on the broadband oscillation electric signal to be compressed to obtain a compressed signal, and uploads the compressed signal and the preliminary pre-judgment result to the master station; the master station performs feature extraction on the compressed signal by using a broadband oscillation classification and recognition model, and obtains a final broadband oscillation type by comparing preliminary pre-judgment results; and the master station constructs a broadband oscillation signal reconstruction model, the input quantity is the compressed signals uploaded by the substations, the output quantity is the reconstructed broadband oscillation signals, and the master station comprehensively analyzes the reconstructed broadband oscillation signals, so that the global monitoring of the broadband oscillation wide area of the novel power system is effectively realized.

The invention relates to the field of aircraft external detection, and discloses an all-weather aircraft external defect intelligent detection system based on digital twinning, and the system comprises a multi-modal data collection module which is used for collecting aircraft external multi-modal data, and the multi-modal data comprises aircraft external image data, ultrasonic wave, X-ray and thermal infrared data; the fusion module is used for enabling the multi-modal data to form a unified fusion feature; the defect identification module is used for carrying out aircraft external defect identification based on a defect identification model and the fusion features; and the spatial positioning module is used for mapping the identification result. The unmanned aerial vehicle and the mechanical arm unit are combined, and external images, ultrasonic waves, X-rays and thermal infrared data of the aircraft are rapidly and efficiently collected. The unmanned aerial vehicle unit can cover surface images of a wide area, the mechanical arm unit detects external defects through ultrasonic and X-ray technologies, the defect recognition speed is increased, the system adapts to the complex environment, and the all-weather detection requirement is met.

The invention provides a multi-scene composite scheduling method and system for heterogeneous unmanned aerial vehicles, and the method comprises the steps: collecting the flight demand data and flight resource data of a heterogeneous unmanned aerial vehicle cluster in real time, and constructing an unmanned aerial vehicle global resource pool; calculating a matching degree between each flight demand and each flight resource in the unmanned aerial vehicle global resource pool; and constructing a multi-target composite optimization model based on the matching degree, and solving the multi-target composite optimization model to obtain an optimal scheduling result of the unmanned aerial vehicle. According to the invention, for the demands of multi-task concurrence, dynamic environment change and resource collaborative allocation in logistics distribution, forest and equipment inspection, emergency disaster rescue, agricultural plant protection and wide-area monitoring scenes, the matching degree of a flight task and an idle unmanned aerial vehicle is calculated in a multi-dimensional manner, and the tasks are dynamically allocated; the method is suitable for efficient matching of heterogeneous computing resources and diversified tasks of a large-scale unmanned aerial vehicle cluster so as to realize collaborative improvement of global scheduling efficiency and system fault tolerance.

The utility model discloses a lamp holder structure based on infrared induction, which belongs to the technical field of illumination and comprises an induction device arranged on a lamp holder body, the induction device comprises a shell, a mounting surface is arranged on one side of the shell close to the lamp holder body, the mounting surface is arranged obliquely downwards, and an infrared component is arranged on the mounting surface; the infrared component comprises a small window located in the middle and a large window arranged around the small window; and a first infrared sensing unit and a second infrared sensing unit are correspondingly arranged on the inner sides of the small window and the large window. According to the utility model, the small window and the large window are arranged on the infrared component, and the sensing range of the sensing device is expanded through the combination of the small window and the large window. The small window and the first infrared induction unit corresponding to the small window are mainly used for accurately identifying the main trunk of the human body, and the large window and the second infrared induction units on the two sides of the large window are used for detecting a wider area, so that the accuracy of light control is ensured.

The invention relates to an offshore wide-area detection method and a detection radar device using an existing electromagnetic wave source, and aims to solve the problem that a traditional shore-based radar is affected by earth curvature, is extremely limited in open sea detection range and is difficult to meet the requirements of ocean resource development, offshore traffic management, safety guarantee and the like. The radar device receives existing electromagnetic wave source signals such as a star chain through the high-sensitivity antenna array to achieve wide-area detection, the antenna array adopts special layout and parameter setting, the self-adaptive beam forming technology is combined, the low-noise amplifier and the band-pass filter are matched, and the signal receiving quality is effectively improved. The signal processing system uses matched filtering, Doppler frequency shift detection, multi-target tracking and other algorithms to accurately extract target information. And the data fusion and display system fuses multi-source data and visually presents the marine situation. The device obviously expands the marine detection range, reduces the cost, is high in real-time performance, can effectively improve the marine target detection and management capability, and has wide application prospects in various marine fields.

The invention discloses an airport intelligent laser bird repelling system and method based on multi-sensor fusion, and relates to the technical field of airport safety protection, and the system comprises a flying bird coarse positioning module, a flying bird fine tracking module, a flying bird laser repelling module and a remote monitoring module. The flying bird coarse positioning module adopts a phased array millimeter wave radar to carry out wide area scanning on a designated area of an airport, and outputs coarse positioning coordinates of a flying bird. Then, the bird fine tracking module uses a laser scanning radar and a medium-wave infrared camera to cooperatively carry out high-precision tracking scanning on the bird in the target area, and outputs the three-dimensional coordinate of the bird in real time. The remote monitoring module displays an airport area map and a bird infrared image on an indoor console in real time, and provides a manual control interface for an operator at the same time. And finally, the bird laser repelling module controls a high-energy laser transmitter of the bird repelling machine to output a high-energy pulse laser beam to a bird body according to the three-dimensional coordinates of the bird, and the bird in the target area is accurately repelled.

The embodiment of the invention provides an unmanned aerial vehicle defense positioning method and system for a complex and wide area, and relates to the technical field of unmanned aerial vehicle defense positioning, and the method comprises the steps: firstly constructing a multi-source detection node dynamic cooperation network which comprises different detection type nodes, a real-time interaction link, an environment adaptation parameter set and a detection parameter dynamic adjustment rule; detection parameters are updated in real time according to regional environment data, then inter-level signal cross detection is executed based on the multi-source detection node dynamic collaborative network, related data are acquired, a positioning guide parameter set is generated according to the detection data, detection nodes are scheduled to carry out cross-level collaborative positioning confirmation, and an unmanned aerial vehicle cross-level collaborative positioning result is obtained. And finally, generating an unmanned aerial vehicle defense positioning instruction adaptive to the regional environment according to an unmanned aerial vehicle cross-level cooperative positioning result, and feeding back a positioning result to a network to update a detection parameter adjustment rule, thereby effectively coping with a complex and wide region unmanned aerial vehicle threat, and realizing accurate defense positioning.

An improved accessory bracket for composite panels and the like is disclosed. In one embodiment, the accessory bracket comprises two flanges, each having two posts that protrude inwards into a panel in through holes. During assembly, the flanges are inserted into two through holes from opposite sides of the panel such that the posts (which are male and female) engage with each other. The male posts have an interior longitudinal channel adapted, e.g., to engage with a screw inserted from the outer face of the flange having a female post. The head of the screw rests against the face of the flange it is inserted into, and the threads pull the opposing flange towards it. When fully tightened, the flanges provide a compression force on a relatively wide area of the panel, providing a secure accessory attachment point on the panel.

The invention discloses an RTK (Real Time Kinematic) positioning method applicable to a quadruped robot in an outdoor wide area range, and aims to solve a series of problems caused by insufficient adaptability of an existing GNSS (Global Navigation Satellite System) RTK positioning scheme to the quadruped robot. Accessing a network differential data server by using an NTRIP network protocol through a built-in 4G mobile network receiver of the GNSS receiver, and trying to obtain RTCM3.2 differential data; in the GNSS receiver, if the RTCM3.2 differential data is successfully received, RTK calculation is carried out by combining the satellite original data and the RTCM3.2 differential data, and RTK positioning data is generated; and outputting the generated positioning data to a main controller of the quadruped robot through a communication interface of the GNSS receiver.

To provide a combination vehicle for a mower which considerably reduces fatigue even when mowing a wide area. [Solution] The brush cutter trailer of this invention has a first rod 1 extending horizontally, with one end having a connection part 5 for connecting to the brush cutter, the other end of which is connected to the centre of a second rod 2 extending vertically, one end of which is connected to the centre of a third rod 3 extending horizontally perpendicular to the first rod, a seat part 4 attached to the other end of the second rod, and wheels 7 attached to both ends of the third rod so that they can rotate freely.

This product consists of a heat source unit and a water heater. The heat source unit and the water heater share several common features in the front view: multiple horizontal grooves are provided on the lower part of the product; the horizontal grooves on each product are arranged at equal intervals; and the horizontal grooves occupy a wide area of ​​the width of the product. These features give the product an overall sense of unity as a set of industrial machinery and equipment. The arrangement of each component can be freely changed.