656 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.

The invention provides a transient voltage instability identification method based on a Koopman operator, and belongs to the technical field of power systems, and the method comprises the steps: analyzing a target region, determining a key bus, and obtaining measurement data in real time through wide-area measurement; pre-processing the measurement data, determining dynamic characteristics of the pre-processed measurement data, determining whether the system breaks down or not, integrating all the dynamic characteristics to determine dynamic characteristics of the system, and determining a fault range; determining the length of a Koopman operator data window based on the dynamic characteristics and the fault range, extracting a Koopman operator, and determining a dominant dynamic mode of a corresponding system in the target area; time domain prediction is carried out on the dominant dynamic mode, the transient voltage instability risk of a system in a target area is judged according to a prediction result, the transient voltage instability risk of a power grid is rapidly and accurately recognized, the operation decision of the power grid is optimized, the coping capacity of the power grid to dynamic challenges brought by grid connection of new energy equipment is enhanced, and the power grid reliability is improved. And safe and stable operation of a power grid is ensured.

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.

Methods to add an “Admission Control / Access Control” system to control access to a “Software-Defined-Deterministic Industrial Internet of Things” (SDD-IIoT) network are described. The SDD-IIoT comprises a “Software Defined Networking” (SDN) control-plane, and many “Software-Defined-Deterministic Wide Area Networks” (SDD-WANs). The SDN control-plane comprises 3 layers of “Zero Trust Architectures”, i.e., rule-based “Attribute-Based Access Control” (ABAC) systems, where subjects can request access to resources. A controller's “Knowledge-Base” consists of a set of facts and rules, which an inference-engine processes to make access decisions. Each SDD-WAN comprises a low-complexity deterministic forwarding-plane, with many simple deterministic packet switches (D-switches), realized with “Field Programmable Gate Arrays” (FPGAs). The forwarding-plane implements “Authenticated Encrypted Deterministic Channels” (AEDCs or D-flows) directly in hardware in layer-3, using Quantum Safe ciphers. Each D-flow has a deterministic data-rate requirement, with delay and jitter requirements. The D-switches can forward encrypted data, according to pre-defined periodic (repeating) deterministic schedules. For a packet to be accepted at the destination, it must be successfully decrypted at the destination in layer-3, using a Quantum Safe cipher. Malicious packets from cyber-attackers will fail the decryption process in layer-3, and thus be detected and removed. Each enterprise has an “Enterprise-Controller”, to control access to its private resources (i.e., computers, data-bases, etc), with an extensive knowledge base of rules. Each SDD-WAN has a “WAN-Controller”, to control the communications between enterprises over the SDD-WAN. If an Enterprise-Controller or WAN-Controller approves a request to establish a new D-flow, the SDN control-plane will download deterministic schedules and secret keys to the D-switches in the forwarding-plane. An IIoT-Controller will control the communications between different SDD-WANs. In an IIoT deployment, there may be 10s of WAN-Controllers, each with 100s of Enterprise-Controllers. These collaborative controllers work together, to control access to the bandwidth of the SDD-IIoT. They can achieve exceptionally-strong cyber-security, where the expected number of successful cyber-attacks per year from external cyber-attackers with Quantum Computers, can be reduced to zero. The SDD-IIoT can achieve security comparable to that offered by “Quantum Key Distribution” (QKD) networks in practice, determined by the computational hardness of cracking Quantum Safe ciphers. The SDD-IIoT can save the industry 10s . . . $100s of billions (US dollars) per year, by exploiting low-cost FPGAs, providing a powerful incentive to innovate layer-3 of the Internet.

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.

The invention relates to the technical field of sleep cabins, in particular to intelligent control equipment of novel pressure reducing and sleep promoting equipment, which comprises a chair body, a side plate, an intelligent control module and an electromagnet body, a plurality of optocoupler sensors are fixed on the surface of the side plate, and a plurality of pressure sensors are arranged on the surface of the chair body. A plurality of detection probes are further arranged in the chair body, the box bodies are arranged in the chair body, and the number of the box bodies is two groups; a second motor is started to drive a long rod and a first gear to rotate, the first gear walks along the surface of a tooth rail, a box is driven to ascend and descend, the vertical position of an electromagnet body is controlled and adjusted, and the effect of controlling and adjusting the position of the electromagnet body is achieved; under the cooperation of the push-pull rod, the movable seat and the electromagnet body are driven to move, the magnetic field range is enlarged or reduced, and therefore switching between wide-area massage and precise massage is achieved.

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 present invention provides a wireless communication method and system for the Internet of Things based on the Star Flash protocol. The method comprises the following steps: deploying a plurality of wireless communication nodes in a wide area or a long-distance path to ensure that the distribution distance between any two of the wireless communication nodes does not exceed 200 meters in the absence of obstacles; selecting the wireless communication nodes as gateway nodes, which have the ability to communicate with any other wireless communication nodes; assigning a unique identification code to each of the wireless communication nodes, grouping them by the identification code, so that the wireless communication nodes with the same identification code can automatically construct a tree network structure under the guidance of the designated gateway node; using the wireless communication nodes to connect to the opposite end according to the signal strength and the current network topology structure, and after the connection is established, using the MAC address to access and control data, thereby reducing costs and improving communication reliability and stability.

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 relates to the technical field of power dispatching optimization, and discloses a virtual power plant wide area aggregation optimization dispatching method. The method comprises the following steps: issuing a day-ahead scheduling demand through a virtual power plant scheduling platform of a power grid, preliminarily screening distributed resources related to aggregation nodes based on geographic region correlation after receiving the scheduling demand, calling an aggregation optimization service interface 1, performing further aggregation optimization according to a fed-back preliminarily screened resource list, generating an optimal distributed resource list, and sending the optimal distributed resource list to the virtual power plant scheduling platform of the power grid. And taking the scheduling demand aggregation node and the optimal distributed resource list as input, outputting a total resource amount and an effectiveness sequence table, performing economic benefit evaluation, judging whether the optimal distributed resource list needs to be adjusted, and uploading the optimal resource list planned to participate in scheduling to an upper-layer power grid virtual power plant scheduling platform. And waiting for a feedback result of security check and a scheduling clearing plan, sending a corresponding execution plan to each distributed resource response regulation and control unit according to the scheduling clearing plan, and starting execution of monitoring check.

The present invention proposes a real-time, high-concurrency, high-precision spatiotemporal service method that takes into account user behavior, and belongs to the field of navigation and positioning. Based on the dual-frequency pseudorange and carrier phase data of the domestic Beidou and low-orbit satellite ground-based reference stations, combined with the Beidou dual-frequency pseudorange and carrier phase observation data of the onboard low-orbit satellite, the present invention estimates the precise orbits, clock errors, clock speeds and clock drifts of Beidou and low-orbit satellites, as well as the spatial atmospheric delays of the regional ionosphere and troposphere, and establishes relevant models; classifies the resolved enhancement information, and establishes a high-precision spatiotemporal position enhancement information pool that integrates wide-area and regional areas; at the same time, by identifying user behavior or needs, the accuracy requirements of user applications and the types of enhancement information required are judged, and load balancing is used to achieve high-precision positioning services that match massive, multi-class users with high concurrency.

The disclosure relates to a method and a system (100) capable of granting access to a vehicle (1) when the vehicle (1) is not connected to a wide area communication network (50), the system (100) is configured to: send, from a remote node (800) to an electronic device (10), a digital regular key (D-R-K) via a wide area communication network (50); attempt to send, from the remote node (800) to the vehicle (1) via the wide area communication network (50), a reservation data and the digital regular key (D-R-K), and in a determination that the reservation data and the digital regular key (D-R-K) cannot be sent from the remote node (800) to the vehicle (1) due to that the vehicle (1) is not connected to the wide area communication network (50) : send, from the remote node (800) to the electronic device (10), the reservation data and a digital backup key (D-BU-K); and send, from the electronic device (10) to the vehicle (1) via a local communication network (55), the digital backup key (D-BU-K).

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.

The invention provides a dual-polarized SAR image building height obtaining method and device. The method comprises the steps that a dual-polarized SAR image containing a building is obtained through aerial remote sensing; determining the position of a near-end bright line of the building image according to the dual-polarized SAR image as a near-end horizontal first position of the building along the ground; determining a far-end horizontal second position of a boundary line of a shadow area of the building image according to the SAR image; and calculating the building height according to the flight height, the lower visual angle, the near-end horizontal first position and the far-end horizontal second position. According to the invention, the problems of complex calculation and poor precision in the prior art for obtaining the building height through a synthetic aperture radar wide area monitoring and measuring technology are solved.

To feed to feeding targets within a wide area in a fish preserve in a state where the fish preserve is submerged.SOLUTION: A feeding device 10 for feeding to feeding targets within a submerged fish cage includes: a pump 21 for pumping up water; a feed delivering unit 23 for delivering feed fed to the feeding targets; a merging unit 24 where water pumped up by the pump 21 and feed delivered by the feed delivering unit 23 merge; a feeding hose 25 which is connected to the merging unit 24, and delivers the mixture of water and feed that have merged at the merging unit 24; and an underwater diffusion unit which is provided at the tip of the feeding hose 25, and which diffuses the mixture delivered by the feeding hose 25 in the water.SELECTED DRAWING: Figure 2

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.

Data storage operations, including content-indexing, containerized deduplication, and policy-driven storage, are performed within a cloud environment. The systems support a variety of clients and cloud storage sites that may connect to the system in a cloud environment that requires data transfer over wide area networks, such as the Internet, which may have appreciable latency and / or packet loss, using various network protocols, including HTTP and FTP. Methods are disclosed for content indexing data stored within a cloud environment to facilitate later searching, including collaborative searching. Methods are also disclosed for performing containerized deduplication to reduce the strain on a system namespace, effectuate cost savings, etc. Methods are disclosed for identifying suitable storage locations, including suitable cloud storage sites, for data files subject to a storage policy. Further, systems and methods for providing a cloud gateway and a scalable data object store within a cloud environment are disclosed, along with other features.

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.

To provide an air tool that can cool a wide area using an exhaust gas.SOLUTION: An air tool includes: an air motor 2; a tip tool 3 rotated by the air motor 2; an exhaust hole 5c for discharging an exhaust gas of the air motor 2 into the outside air; and a guide 6 for guiding the discharged exhaust gas to the tip tool 3. The guide 6 includes: an intake port 6a for taking an exhaust gas into the guide 6; a discharge port 6b for causing the exhaust gas to abut on the tip tool 3; and a lateral opening 6c communicated to the outside air.SELECTED DRAWING: Figure 2

The invention discloses a computing power network architecture suitable for a super-large-scale intelligent computing center industrial park, and relates to the technical field of data center network architectures. The computing power network architecture comprises a computing power network, a wide area network and a platform area, and the computing power network comprises a computing network for training, a computing network for reasoning, a front-end and rear-end storage network, an in-band management network and an out-of-band management network. The in-band management network comprises a first switch, a second switch, a first leaf switch, a second leaf switch, a third leaf switch, a fourth leaf switch, a first spine switch and a second spine switch, and the wide area network comprises an internet cloud platform, a core switch and a private line. Through the mutual connection relation and function limitation, the problems that an existing data center network architecture lacks a computing power network, cannot be suitable for project characteristics of a super-large-scale intelligent computing center industrial park, is difficult to meet elastic deployment and is high in cost can be solved, and practical application and popularization are facilitated.

Portable, low cost, high speed surface and subsurface vehicles for aquatic data collection, payload delivery, or water quality monitoring. The vehicles can be deployed in pods enable rapid large scale data collection across a wide area. The vehicles are capable of transiting the water surface at speeds of over ten knots, and can also be propelled under the water surface and dive vertically to the floor of the water body. A passive, non-powered internal weight transfer system enhances the vehicle's performance in each of its transit modes. The vehicles can have one or more of the following features: high speed stabilizing wings, a tool-less assembly system, sacrificial standoffs for vertical dives, sacrificial protectors for the control surfaces, and / or a universal mounting system for attaching payloads such as sensors.

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.

The invention discloses a long-distance wide-area high-resolution single-photon radar imaging method. The method comprises the following steps: S1, constructing a system; s2, the distance is detected, and the long-distance wide-area high-resolution problem is solved; s3, receiving the data, and solving the problems of data processing and storage; s4, detecting an imaging signal, and solving the problems of signal attenuation and interference; s5, after the problem is solved, testing work is carried out through single-photon radar imaging; s6, after the test work is completed, detecting and patching problems again; and S7, setting a problem triggering and vacancy supplementing system, and timely supplementing the problem when the problem occurs in the single-photon radar imaging. The method has the beneficial effects that clutter interference can be effectively reduced by arranging and removing clutter devices generated in the single-photon radar, and software and hardware configuration in an internal system is optimized, so that the reliability of the single-photon radar imaging is improved, and the reliability of the single-photon radar imaging is improved. Cooperative operation among all components in the system is ensured, so that the problem of long distance and wide area during single photon radar imaging is solved.

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