42results about How to "Easy to deploy at scale" patented technology

The invention discloses a software package-based online automatic updating method for an open source operating system of a mobile terminal, which relates to the field of mobile terminal software and is applied to the open source operating system of the mobile terminal. By the method, the remote automatic updating of system software can be realized by taking a package as a unit, and convenience isbrought to the rehabilitation of security holes and the installation of the operating system. The method comprises the two aspects that: a server automatically finishes structuring and publishing thesoftware package, acquires all source codes of the operating system from an open source site, automatically divides and structures a proper software package, determines the updating information of the software package according to the version information and dependency of the source codes, and publishes the software package by utilizing a network; and the mobile terminal serving as a software package acquirer and user automatically checks the updating information by client software, and downloads and updates the system by taking the software package as the unit to fulfill the aim of automaticonline updating. The method has the characteristics of high degree of automation and the like, and is easy to deploy in large scale and use.

This invention provides a method for uniformly dispatching media flow in video service by a media transmission server cluster characterizing in forming a cluster by multiple media transmission servers, which is connected to a device proxy by a load balance dispatcher to connect to multiple monitor fronts, said dispatcher is the only entry of the cluster to determine media transmission servers in terms of the load state and designed dispatch method so as to realize uniform dispatch of video service.

The invention discloses system and method for testing network services. The system comprises a management control center and a test terminal, wherein the management control center is used for planning, managing, monitoring and controlling the test of the network services, and collecting and analyzing network test data; and the test terminal is arranged in a test terminal computer, and used for inputting, receiving, disposeing and storing the network test data in a tested network. By using the technical scheme of the invention, distributed data service test can be managed, controlled and realized in a centralized way; and the operation is easy and convenient. In addition, a test tool taking hardware as a main part can be replaced with the test terminal which exists in the test terminal computer in the form of a module, thus reducing the cost, and providing convenience for large-scale deployment.

Through Internet being connected to SIP proxy server, the SIP terminal with video service constructs self-OPTIONS message based on SIP in the said SIP terminal. URI in 'From'header field is identical to URI in 'To'header field in OPTIONS message, and interaction is carried out between self-OPTIONS message, 200 OK response message of carrying SDP message body and SIP proxy server to implement OPTIONS self query in video service. Implementing OPTIONS self query, the invention is able to realize some essential functions in video service including declaring capabilities of proxy server of equipment, querying capabilities of browsing terminal, or updating state of browsing terminal etc.

The invention discloses a data exception detection method, a device, equipment and a storage medium. The method comprises the steps of obtaining unmarked data; extracting primary abnormal data from the unmarked data according to a preset query strategy; identifying and marking the primary abnormal data, storing the primary abnormal data into a marked first data set to form a second data set, and training a pre-trained hypersphere classification model through the second data set; identifying whether the hyper-sphere classification model meets a training termination condition or not; and when the training termination condition is reached, inputting the unmarked data into the hypersphere classification model under the training termination condition for classification screening to obtain target abnormal data. According to the method, a small amount of marked data is used for training the classification model, the classification model is used for classifying the unmarked data after the training termination condition is met, original distribution of the data is not limited, the data volume needing to be marked by an operator is reduced, and the classification result accuracy is high.

The invention discloses a water supply pipeline monitoring system based on a ZigBee wireless sensor network. In order to solve the problems that a water supply pipeline leakage monitoring device is high in manufacturing cost and large in power consumption and leakage points are not positioned accurately, the water supply pipeline monitoring system comprises terminal nodes E, router nodes R, a ZigBee-GPRS gateway G and a data processing center A, wherein the terminal nodes E comprise terminal nodes from number one to number N, and the router nodes R comprise router nodes from number one to number M. The terminal nodes E are wirelessly connected with the router node number one, the router node number one is wirelessly connected with the router node number two, the rest can be done in the same manner, the router node number (M-1) is wirelessly connected with the router node number M, the router node number M is wirelessly connected with the ZigBee-GPRS gateway G, and the ZigBee-GPRS gateway G is wirelessly connected with the data processing center A.

The invention discloses a simulated aircraft simulation system based on distributive virtual reality. The simulated aircraft simulation system based on distributive virtual reality comprises a total console sub system, a flight simulation sub system, a distributive visual simulation sub system and a network sub system, wherein the total console sub system is connected with the flight simulation sub system, the distributive visual simulation sub system and the network sub system, and is used for controlling a simulated aircraft, performing centralized supervision and control on the state of a flight simulator, and controlling the operation of the simulation system. The simulated aircraft simulation system based on distributive virtual reality has good transportability and expandability; thelarge-scale deployment is easy; secondary development can be conveniently performed; in addition, the network sub system in the simulated aircraft simulation system uses an HLA structure; the real-time performance of the system is effectively improved; in addition, the image quality is high; the operation environment of an airplane can be reasonably and realistically simulated; and the practicaloperation and training requirements of aviators are met.

The invention discloses a signal monitoring method and device, a computer readable storage medium and a system. The method comprises the following steps: firstly, collecting vital sign signals of a monitored object in a non-contact mode through a millimeter wave radar chip; carrying out microwave signal processing on the acquired vital sign signal to obtain a monitoring result comprising vital sign frequency; and sending the monitoring result to a cloud platform, and enabling the cloud platform to manage the monitoring result.

This invention provides a collection and transmission system for high clear video signals characterizing in including a PC machine of the transmission end, a PC at the receiving end and TS flow transfer device interconnected by networks, in which, said TS flow transfer device has an input interface and an output interface with high clear video signals, said input interface is connected with high clear video collection device, said output interface is connected with the PC machine of the transmission end, which decodes the TS flow to get the original video data via the decode module and codes the original video data by the code module to be decoded and displayed by the PC device, which can realize collection and transmission of high clear video signals.

The invention discloses a vehicle positional information compressing and acquiring method, terminal, and system and relates to the technical field of location-based service. The method comprises steps that a terminal acquires the position and the speed data sequence of a vehicle where the terminal is located in order to perform curve fitting on the data sequence, just sends a curve characterization parameter and auxiliary data to a central end so as to achieve compression and acquisition; the terminal resolves position coordinates by using an acceleration module when a navigation satellite signal is lost; the terminal temporarily stores data when a mobile network signal is lost and sends the data when the mobile network signal is restored; the central end operates a decompression algorithm to resolve the locus of the vehicle according to the vehicle data curve characterization parameter. The method is used for monitoring vehicle positions and dispatching vehicles, achieves data compression at the acquisition terminal so as to relieve system load, and solves a data compressing and acquiring problem in a simple way when the navigation satellite signal is lost temporarily or lost.

The invention discloses an inter-domain routing system mimicry protection method based on an AS security alliance. On the basis of analyzing the basic principle and characteristics of a BGP-LDoS attack, for meeting the precondition that precise target path selection and planning are needed before the BGP-LDoS attack is implemented, the security alliance is established by AS nodes in an inter-domain routing system by using the mimicry security defense thought as reference, an AC is internally recommended as a control node after the alliance is established, the alliance nodes report to the AC and share the connection relation and the forwarding capacity of the nodes and links and resources such as the link bandwidths, and the AC acquires k optimal paths that nodes out of the alliance pass through the alliance through a genetic algorithm; and then actual communication path random changing is conducted in the alliance according to security threats, path adjusting and shunting are conducted according to the system implementation conditions and the in-alliance resource constraints, and due to the fact that the alliance internally displays that the actual path changes and externally displays that the path keeps invariable, dynamic defense to the BGP-LDoS attack is achieved.

The invention provides a dissolved oxygen sensor calibration device and calibration method based on a fluorescence quenching principle. The calibration device comprises a plurality of gas cylinders, main valves are arranged on the gas cylinders, the main valves are sequentially connected with a pressure reducing valve and a pressure gauge, the outlet end of the pressure reducing valve is connectedwith a closed container through a pipeline, a plurality of temperature sensors are installed in the closed container, and the other end of the closed container is connected with an upper computer. Onthe premise that the cost is controllable, the operation links are reduced, the calibration time is shortened, the calibration precision meets the requirements of relevant national standards, and theproblems of high cost, low efficiency, low precision, poor stability and the like of a current calibration method for the dissolved oxygen sensor based on the fluorescence quenching principle are solved to a certain extent.

The invention discloses a monitor sign value and waveform data acquisition method based on a video technology, which comprises the following steps: connecting a digital output port of a monitor with a digital waveform acquisition module, and establishing basic communication through a public HL7; performing screen shooting on the monitor through the camera, the analog-to-digital comparison machine learning module establishing IP communication with the digital waveform acquisition module at the same time, and indirectly obtaining digital signal original data output by a serial port or a network port of the monitor; the analog-to-digital comparison machine learning module comparing the relevance between the sign waveform information in the analog video signal and the original data of the digital signal through a built-in machine learning model, and forming an analytical model adaptive to the current equipment through a training method; the analog-to-digital comparison machine learning module issuing the newest analytical model obtained by training to the digital waveform acquisition module, and the digital waveform acquisition module analyzing accurate sign waveform information from the obtained digital original signal of the monitor.

The invention provides a low-cost folding-wing interceptor, a low-cost folding-wing interceptor group and a method for intercepting an incoming unmanned aerial vehicle group. The method comprises the following steps: S1, quickly launching a plurality of low-cost folding-wing interceptors in the air for formation to form an interceptor group; s2, commanding an interceptor group to fly to a target area by the interception platform, and forming an interception array; s3, the interception platform monitors a plurality of incoming unmanned aerial vehicles and determines the state of an intercepted target; s4, the interception platform performs interception task distribution on each interceptor in the interception array for each interception target; and S5, each interceptor intercepts the incoming unmanned aerial vehicle according to the distributed task. The interceptor can be installed in the equal-length installation cylinder in a folded state (the minimum radius state), the occupied size is small, large-scale deployment is facilitated, and high-shooting-speed large-scale shooting is facilitated. In addition, the interception reliability of the interceptor group is high, and effective interception of the incoming unmanned aerial vehicle group can be realized.

The invention discloses a congestion control method and device based on RTT and combined with proportional-integral-derivative control, and the method comprises the steps that a sender judges whether RTT feedback timeout occurs or not, and measures the RTT time delay of a network path at the current moment; if RTT feedback is overtime, the sender actively decelerates; otherwise, according to whether the current RTT is within the tolerable queue oscillation range or not, different rate updating modes, including a method based on a fixed threshold value and a proportional integral differential control method, are employed to update the rate; and then the rate obtained by calculation is taken as the current target rate, and the time interval between the data packets is controlled so as to reach the target rate. According to the method, proportional integral differential control is carried out in a tolerable oscillation range, and RTT feedback timeout information is introduced, so the problems that large-scale incast cannot be processed and the queue oscillation range is uncontrollable in an existing congestion control method based on RTT are solved, and a stable and low-delay congestion queue is maintained.