74results about How to "Increase the number of nodes" patented technology

A wireless intelligent smoke alarm monitoring system comprises wireless smoke detection nodes, a wireless Internet of Things base station, a cloud server, a fire monitoring platform and a monitoring terminal and belongs to the technical field of fire remote monitoring. A communication of the wireless smoke detection nodes adopts a LoRa module, and smoke ions, combustible gas and temperature data collected can be transmitted to the wireless Internet of Things base station wirelessly; the wireless Internet of Things base station transmits the data to the cloud server for storage and processing;the first monitoring platform is connected to the cloud server through a data access processing layer, and a fire inspector receives an inspection task on the basis of the monitoring terminal, executes corresponding rescue operation and reports a feedback sheet. The wireless intelligent smoke alarm monitoring system has the advantages that low-power wireless Internet of Things technology is utilized, networking range of the system is enlarged, the number of the smoke detector nodes is increased, and a fire hazard can be monitored in real time and alarmed without wiring.

The invention discloses a wireless Andon system, which comprises a plurality of information acquisition nodes, a coordinator node and a host, wherein the plurality of information acquisition nodes are respectively positioned at corresponding key positions in a production line so as to acquire the production line information at the corresponding key positions and transmit the production line information; the coordinator node is wirelessly connected with the information acquisition nodes and is used for establishing and managing a wireless network, receiving the production line information transmitted by the information acquisition nodes and forwarding the production line information; and the host is connected with the coordinator node and is used for receiving the production line information forwarded by the coordinator node, analyzing the production line information, and broadcasting, printing or displaying an analysis result so as to guide workers to work. The system can collect the production line information timely to guide the workers for material distribution and other work. The wireless connection exists inside the system without wiring, so the deployment and maintenance cost can be reduced, and the information acquisition nodes can move. In addition, the system can be provided with a plurality of routing nodes so as to extend the wireless network transmission distance and increase wireless network node number.

The invention discloses a medicine relationship classification method based on a multilayer convolutional neural network. The method comprises the following steps that: collecting an original medicinetext of an English form to obtain an original medicine text set; preprocessing the original medicine text set; constructing the multilayer convolutional neural network for training; obtaining a medicine relationship classification multilayer convolutional neural network; and utilizing the medicine relationship classification multilayer convolutional neural network to carry out medicine relationship classification to obtain a medicine relationship classification result. By use of the method provided by the invention, the multilayer convolutional neural network is improved, a presentation layeris increased, the input medicine text is converted into a medicine text vector, in addition, a position vector based on a relative distance is added, so that the medicine text feature vector is moreaccurately extracted, and the accuracy of the medicine relationship classification method based on the multilayer convolutional neural network is improved.

The invention discloses a storage method of a peer-to-peer network video on demand media, and the steps comprise: a media document is segmented; at least one office end node is introduced, and segmented for saving an original copy of the media document; user nodes and the office end node are divided into districts according to geographical districts, each district carries out the management of the stored segmented media on the user nodes and the office end node of the district through a media gateway; and the user nodes call the segmented media document on various office end nodes of the district to constitute the media document to be played. The invention further discloses a peer-to-peer network media on demand system. As the media document is segmented, the user node does not need to store the whole media document and only needs to store certain segmented media document, that is, a plurality of user nodes are collaborated to complete the storage of the big media document, thereby effectively reducing the media recording costs and the storage costs of the user nodes.

The invention provides a resource deployment method based on cloud data and a visual management method. In order to achieve the purpose of load balancing of various nodes, resources are allocated and stored by using a hash algorithm during every new resource storage, the uniformity of the hash algorithm on the resource distribution is compared to evenly and dynamically allocate data files by using a character coefficient hash algorithm at last. The data resource deployment method based on a cloud platform provided by the invention comprises the steps that a manager and a user carry out visual management on cloud platform resource nodes, which comprise a server node and a plurality of virtual storage nodes, the server communicates with the virtual storage nodes through sockets to transmit data resources and the like; the server interacts with a database to store data resource information for a long term; and meanwhile, the purpose of visual information management can be achieved. Through the simulation of the visual management of cloud data resources, the data resource utilization rate and the quality of service of the system are improved, and the purposes of energy saving and load balancing are achieved.

Various examples of the present technology provide a cluster-architecture to support a scalable pooled-NVMe storage box that can be shared among a scalable number of nodes. The scalable pooled-NVMe storage box comprises NVMe drives, one or more switches and one or more switch ports. The number of NVMe drives in the scalable scalablepooled-NVMe storage box can be scaled up or down based upon a number of nodes that need to share the scalable pooled-NVMe storage box.

The invention relates to a mine safety monitoring system, belongs to the technical field of communication equipment for coal and non-coal mine underground monitoring, and aims to provide a system which can overcome the defects of the mine safety monitoring system, is convenient to mount and maintain while the node capacity of the system is increased, and provides convenience for patrol. The invention adopts the technical scheme that ground equipment comprises a monitoring host, printing equipment, a universal switch, a UPS (Uninterruptible Power Supply) and a mine ground switch; the monitoring host, a monitoring host backup machine, the printing equipment, the UPS and the mine ground switch form a local area network through the universal switch; the underground equipment comprises a plurality of underground mine switches, mine substations, mine wireless sensors and mine wireless actuators, wherein the underground mine switches form an optical ring network, each underground mine switch is connected and communicated with the mine substations, and each mine substation is also communicated with the mine wireless sensors and mine wireless actuators. The mine safety monitoring system is used in coal mine monitoring.

The embodiment of the invention provides a server connection-based dynamic timeout processing method and device. The method includes the following steps that: a service request sent by a client is received; a first connection request for connecting a first target server is initiated, so that business services which are provided by the first target server and corresponding to the service request are called; the first target server is correlated with a regular timeout time; a first dynamic timeout is set in the regular timeout time; and when the result of the business service is not received within the first dynamic timeout, the first connection request is maintained, and at the same time, a second connection request for connecting a second target server is initiated, so that business services which are provided by the second target server and corresponding to the service request are called. With the method and device provided by the embodiment of the invention adopted, entire reliance on the timeout of a downstream server can be avoided, and timeout time can be adjusted dynamically according to the quality of services, and therefore, the delay of the business services can be decreased, the probability of the ineffectiveness of the services can be reduced, and access quality can be improved.

The invention discloses a method for prolonging the life cycle of a wireless sensor network in an urban comprehensive pipe corridor, comprising: step 1, determining a network topology, step 2, initializing after the network topology is determined, 3, selecting a cluster head node, step 4, forming clusters, and step 5, transmitting data, characterized in that the step 1 comprises simplifying the WSN deployment environment of the urban comprehensive pipe corridor into a long rectangular area A, laying pipes with large energy loss of the sensor nodes in the intermediate path of the long rectangular area A, and laying pipes with gradually smaller energy loss of the sensor nodes from the intermediate path to the two sides of the long rectangular area A. The method for prolonging the life cycleof the wireless sensor network in the urban comprehensive pipe corridor of the invention can effectively prolong the life cycle of the network, and the life cycle of the network is increased by 50% ormore.

The embodiment of the present invention provides a truss type extensible antenna reflector, and belongs to the technical field of antennas. A cable-net structure of the reflector includes an upper layer of cable net, a lower layer of cable net, a tension array and multiple flower disc connecting columns; the flower disc connecting columns extend along a vertical direction; the upper layer of cablenet and the lower layer of cable net are fixedly stacked via the flower disc connecting columns on a net surface formed by folding rods; the upper layer of cable net is spliced by multiple first triangular lattice units; the lower layer of cable net is spliced by multiple second triangular lattice units; an exterior outline of each triangular lattice unit is matched with a triangle; at least onefirst node is provided at an edge of each first triangular lattice unit; a second node matched with the first node in one-to-one correspondence is provided at an edge of each second triangular latticeunit; and corresponding first nodes and second nodes are fixed by corresponding tension array ropes. The truss type extensible antenna reflector can increase the number of nodes without adding a truss unit, can reduce the weight of the reflector obviously, and improves the storage ratio.

The invention discloses an electric-power parameter monitoring communication method based on an embedded system and relates to a communication method. The electric-power parameter monitoring communication method based on the embedded system solves the problems that a wireless communication network adopted by an existing power monitoring system is often limited in a self-organizing network, operating power is high and cost is high. The electric-power parameter monitoring communication method is realized based on the embedded operation system Contiki and an electric-power parameter monitoring wireless sensor network. The method comprises the steps of distributing IP addresses for each routing node, each access node and each terminal node, carrying out data transmission among the terminal node, the routing node and the access node by means of the communication protocol 6LoWPAN, carrying out data transmission on the terminal node in the control process of electric-power monitoring parameters by means of the I2C bus protocol, carrying out data transmission on each node in a control process of wireless communication by means of the communication protocol SPI, and carrying out data transmission between the access node and a data management center by means of the communication protocol UART. The electric-power parameter monitoring communication method based on the embedded system is applied to an electric-power system.

The invention relates to a preemptive multi-master RS485 bus communication method based on dynamic priority, which belongs to the field of coal mine safety monitoring, and comprises the following steps: S1, a bus is in a half-duplex mode, is connected with a plurality of nodes with the same frame format, and can monitor the bus while occupying the bus to send data; S2, all the nodes are main devices and have unique ID numbers and variable bus use priorities; S3, before each node sends the data, a bus state is monitored, and if the bus is busy, frame priorities are compared; S4, each node monitors the data on the bus when sending the data, sending immediately stops if the frame on the bus is inconsistent with the frame sent by each node, and delays sending; and S5, after the frame being sent by a communication node is preempted, each node adjusts the priority of the next sending according to a priority dynamic adjustment algorithm. According to the invention, the number of bus nodes isincreased, and the bus use efficiency is fully improved.

A multi-wavelength optical network using single-fibre bidirectional transmission to realize the multiplexing of partial wavelengthes is composed of a link/control module, two bidirectional star couplers and 2(N-1) nodes. Each bidirectional star coupler is connected to the link/control module via a port and an optical fiber, and can be connected to (N-1) nodes via an optical fibre for each node. Its advantages are more number of nodes (increased by one time), high network through put, short time delay, and optical fibres saved by one time.

The invention discloses a buffer-free optical interconnection architecture and method for a data center. The architecture is divided into an inlet wire clamp, a three-stage exchange module and an outlet wire clamp, wherein the exchange module comprises a first-stage AWGR, a third-stage AWGR and a second-stage TWC; the first-stage AWGR input port is provided with an inlet wire clamp, the third-stage AWGR output port is provided with an outlet wire clamp, and the first-stage AWGR output port and the third-stage AWGR input port are connected through a second-stage TWC. Signals of the server are subjected to wavelength division multiplexing and then forwarded to the switching module through wavelength modulation of the entrance line card, optical signals with specific wavelengths are forwardedto the exit line card through TWC wavelength conversion and AWGR cyclic routing, and the exit line card processes the optical signals and then sends the optical signals to the server. High-capacity,high-reliability and low-power-consumption all-optical interconnection is achieved, a data center is effectively flattened, the defects that a traditional space switch is low in port bandwidth and limited in port number are overcome, and the all-optical interconnection system has the advantages of being high in reliability, low in complexity, low in delay and the like.

The invention discloses an image recognition and classification method based on prediction increment width learning, and the method comprises the following steps: 1, building a width learning model, inputting the initial number of various types of nodes, and setting the recognition accuracy; 2, calculating the number of required enhancement nodes through a fitting function; 3, increasing the number of enhancement nodes, and carrying out incremental width learning; 4, judging whether the test identification accuracy is greater than the set identification accuracy or not, and if not, returning to the step 3, and if yes, outputting a training result and recognition accuracy. Partial experimental data of width learning is fitted through a least square method, the relationship between the number of enhancement nodes and the recognition precision is obtained through partial experimental data fitting, and the proper number of enhancement nodes meeting the precision can be obtained by settingthe precision, so the tedious steps of manually setting model parameters and the increase of training time caused by setting improper model parameters are avoided, and the method has the advantages ofhigh recognition precision and simple algorithm.

The invention discloses a monitoring and early warning system based on a water environment sensor network. The system comprises water environment wireless sensor network nodes, a gateway node, communication modules, a remote sensor and a Web application module. The water environment wireless sensor network nodes are used for acquiring water body information and transmitting the water body information to the gateway node. The gateway node transmits data to the remote server via the communication modules. The remote server acquires the water body information via listening a specified port open to the internet and stores the water body information in a database. The Web application module is used for performing real-time comparison on the collected data. If the data are greater than the preset threshold vale, alarming is performed. Early warning information is ensured to cover the related personnel timely and high-efficiently so as to take corresponding countermeasures.