1993 results about "Concentrator" patented technology

The invention provides an HPLC (High Performance Liquid Chromatography) station area cooperative communication method based on clock synchronization, which comprises the following steps: step 1, multi-dimensional data acquisition and broadcasting: each concentrator periodically acquires clock precision, stability and reliability data, and sends a beacon frame containing a timestamp and a health degree score through a power line carrier broadcasting channel; step 2, dynamically calculating the index distinction degree by using an entropy weight method, adaptively allocating weights, and electing an optimal main CCO in real time; step 3, dual-mode PID cooperative control: the main CCO adopts a dual-mode switching strategy of a dynamic PID algorithm and a chaotic fractional order PID algorithm; 4, monitoring a synchronization state in real time by constructing a clock check network, and optimizing a fault isolation strategy in combination with weighted scoring to realize that the state switching time of the master node and the slave node is less than or equal to 50ms; cooperative communication is realized on the basis of completing synchronization of the concentrators CCO in the whole network. Redundant message transmission is reduced through a dynamic parameter resynchronization mechanism, and the utilization rate of network resources is optimized.

The invention discloses an intelligent regulation and control method applied to cement grinding particle gradation, and relates to the technical field of cement grinding control, and the method comprises the following steps: S1, collecting grinding system operation parameters in real time, including mill current, powder concentrator rotating speed, feeding amount, grinding sound signals and online particle size detection data; s2, calculating core characteristic parameters based on the operation parameters, wherein the core characteristic parameters comprise an effective crushing power index, a dynamic fine powder retention rate and an in-mill material filling state index; s3, inputting the core characteristic parameters into a grading prediction model, and outputting predicted particle size distribution; s4, generating an adjustment instruction through a hierarchical control strategy based on the predicted particle size distribution; and S5, outputting the adjustment instruction to an execution mechanism. The particle size distribution is accurately predicted by collecting and analyzing the operation parameters of the grinding system in real time and combining core characteristic parameters, closed-loop intelligent regulation and control are achieved, the grinding efficiency, stability and product quality are improved, and meanwhile the control precision is optimized.

The invention relates to the technical field of electric power data analysis, and discloses a concentrator collection data analysis method and system based on big data, and the method comprises the steps: capturing a high-priority task in real time, and generating a concentrator collection task flow sequence arranged according to an initial scheduling sequence; performing cross-task dependency chain logic association tracking on the concentrator collection task flow sequence, and constructing a multi-dimensional scheduling feature vector reflecting the importance gradient of the task; based on the multi-dimensional scheduling feature vector, a hierarchical priority aggregation algorithm is utilized to extract a preemption evolution track of a high-priority task to the bandwidth and the acquisition time slot, and potential scheduling error sequence candidate tasks are detected; performing priority grading delimitation on the scheduling error sequence candidate tasks and the associated low-priority task interval, and constructing a local task logic graph with a priority weight gradient; and performing dynamic intervention judgment on the scheduling evolution path based on the local task logic graph. The method has the advantage of improving the overall scheduling efficiency.

The invention provides a data interaction method and a data interaction system for a concentrator and a collector, which are applied to the technical field of data interaction. And the protocol adaptation layer dynamically selects a protocol conversion module to realize data protocol conversion based on the protocol type of the collector, the equipment ID and the network environment of the system and transmits the converted data to the concentrator. And the concentrator unpacks, analyzes, stores or decides the received data. After the concentrator processes the data, generated feedback data are returned to the corresponding collector through the protocol adaptation layer, and closed-loop control is completed. Based on a real-time data analysis result of the concentrator, the protocol adaptation layer automatically adjusts a protocol adaptation mode, a data compression strategy or a load balancing mechanism. Through multi-layer protocol discovery and dynamic adaptation, intelligent data flow optimization and real-time conversion, and distributed intelligent decision and autonomous adjustment processes, the data transmission efficiency is improved, the flexibility of the system is enhanced, and the data security is ensured.

The invention relates to the technical field of gas detection, in particular to a multi-gas accurate detection method and system.The method comprises the following steps that gas to be detected flows through a miniature gas enrichment device prepared through an MEMS technology under driving of a miniature gas pump, and target gas is adsorbed and enriched through graphene and metal oxide composite sensitive materials on the surface of a spiral gas inlet flow channel in the miniature gas enrichment device; the desorption concentrated gas is heated to the multi-gas composite detector, and the sensor array reacts with the gas to generate an electric signal; the data acquisition unit performs noise reduction, amplification and analog-to-digital conversion preprocessing on the electric signal; the data processing unit extracts characteristic vectors such as a response curve peak value and a rising slope; inputting the feature vector into a pre-trained machine learning classification-regression combined model, and outputting a gas type identifier and an initial concentration; error compensation is carried out in combination with environment temperature and humidity and a cross sensitivity interference mode library, and finally accurate information of at least nine gases is output. The device has the advantages of high sensitivity, strong anti-interference performance and miniaturization.

A system configured to generate dynamic visual feedback by synchronizing smart lights with a rhythm and energy levels of music being output. A device may translate audio samples to luma (brightness), chroma (color), and location data using a low-latency algorithm. For example, the device may divide the full band audio data into separate frequency bands based on the number of output devices and control a brightness for an output device by tracking energy within a corresponding frequency band. The color and location may be controlled based on a number of beats per minute, direction, and / or the like. In addition to controlling external lighting via a smart home hub, the device can control LED light(s) on the device via an LED controller. To further reduce latency, the device can directly communicate between an audio processor, the smart home hub, and / or the LED controller using low level hardware abstraction layers (HALs).

Some embodiments of the invention provide a method for forwarding packets through an SD-WAN. To facilitate the forwarding of packets between first and second regions of the SD-WAN, said first and second regions having respective first and second hub routers forwarding packets between respective first and second sets of edge routers of respective first and second sets of sites of the first and second regions, the method directs (1) the first set of edge routers to establish connections to the first and second hub routers, and to use the first hub router as a next-hop to initiate communications with the second set of edge routers, and (2) the second set of edge routers to establish connections to the first and second hub routers, and to use the second hub router as a next-hop to initiate communications with the first set of edge routers.

The invention discloses a power line carrier communication protocol data link layer simulation method, which comprises the following steps of: constructing a physical layer interface simulation module, simulating power line carrier or wireless air interface transmission through TCP socket communication, and creating a high-priority task process to process time slot-level time sequence synchronization for triggering a physical layer transceiving action at a specified time slot; configuring a time sequence synchronization control mechanism, obtaining a timestamp carried by a beacon frame sent by a concentrator, calling a clock synchronization function to align a site local clock with the timestamp when receiving the head of the beacon frame, adding delay compensation before sending data, and delaying and starting a physical layer receiving action to offset IP network transmission delay when receiving the data; a data frame processing flow is realized, a header callback function is controlled through a registration frame to respond to a physical layer state change, TCP message data is cached by using an annular queue, and a physical layer interface simulation module analyzes a message, distributes a memory and processes a load at a specified time slot after time sequence synchronization.

A personal tactical system including a load-bearing garment, a pouch with one or more batteries enclosed in the pouch, at least one power distribution and data hub, and at least one camera. The camera is incorporated into or removably attachable to the load-bearing garment, the pouch is removably attachable to the load-bearing garment and the one or more batteries are operable to supply power to the at least one power distribution and data hub. The at least one power distribution and data hub is operable to supply power to at least one peripheral device. A plurality of personal tactical systems is operable to form an ad hoc network to share images and other information for determining object direction, location, and movement.

The invention relates to the technical field of power system monitoring, in particular to an electric energy meter and concentrator data fusion monitoring system and method. Comprising the steps that data of an electric energy meter are periodically collected, integrity verification is conducted on the data, noise interference in the data is removed, then the data are fused to construct a power network diagram structure, and the power network diagram structure comprises node information and edge weight information; a graph convolutional network is used for modeling, a power network graph structure is used as the input of a graph neural network model, an adaptive learning rate adjustment algorithm is combined with an early stop method to prevent overfitting and deep training of the model, and space-time association between nodes is captured through multi-layer space-time graph convolution operation. According to the method, the power network graph structure is constructed by fusing the data of the electric energy meter through the concentrator, nodes and edges are analyzed by using the graph neural network, key nodes and potential fault points are identified, and the network health state is evaluated in real time, so that comprehensive monitoring and optimal management of the power system are realized, and the overall performance and reliability of the power system are improved.

The invention relates to the technical field of fault monitoring, in particular to a concentrator intelligent fusion terminal based on multi-sensor monitoring and maintenance. Obtaining a suspected fault moment according to discrete features of data distribution in the state data sequence of any dimension; obtaining a target moment according to the data difference characteristics of the suspected fault moment and the adjacent moment; state characterization points in a multi-dimensional space are constructed according to the data of all dimensions at the target moment, clustering is carried out, and the fault characterization credibility of the state cluster is obtained according to the distribution characteristics of the state characterization points in the state cluster and the data discrete characteristics between the state characterization points. According to the method, the abnormal degree of the latest moment is obtained according to the distance feature between the state characterization point corresponding to the latest moment and the nearest state cluster, the range feature of the nearest state cluster and the fault characterization credibility; the operation state of the concentrator is monitored according to the abnormal degree, and the monitoring accuracy of the concentrator terminal is improved.

The invention relates to the technical field of adaptive routing optimization, and particularly discloses a topology self-recognition and routing optimization method and system for a concentrator and a collector, and the method comprises the steps: carrying out the topology modeling of a multi-layer heterogeneous network; executing high-speed link state monitoring based on the initial topological graph; global loop detection and link optimization are completed based on the link state matrix; a weighted robust multi-dimensional path selection method is adopted to configure a main path and a standby path for each node; and monitoring the path state in real time and dynamically switching. In the prior art, a static route, a single protocol path or a fixed main and standby path is mainly adopted, and especially in a cross-protocol, cross-level and dynamic multi-node environment in a smart city, rapid path switching and high-reliability route redundancy guarantee cannot be realized. Due to the fact that the multi-dimensional path selection method and the cross-level and cross-protocol self-adaptive switching strategy are adopted, the problems of routing interruption and performance reduction are avoided, and the reliability of the whole network is improved.

A redundancy link includes a first optical splitter and a second optical splitter. The first optical splitter includes (i) a first hub-side port that optically couples to a first optical line terminal, a first hub-side failover-mode port, (iii) a first plurality of node-side splitter-ports each optically coupled to the first hub-side port and the first hub-side failover-mode port, (iii) a first failover-mode port coupled to the first hub-side port. The second optical splitter includes (i) a second hub-side port that optically couples to a second optical line terminal, a second hub-side failover-mode port optically coupled to the first failover-mode port, (iii) a second plurality of node-side splitter-ports each optically coupled to the second hub-side port and the second hub-side failover-mode port, (iii) a second failover-mode port coupled to the second hub-side port.

The invention discloses a regional integrated energy system two-stage optimization method considering # imgabs0 # efficiency and stepped carbon transaction. The method comprises the following steps: constructing a regional integrated energy system model based on an energy concentrator model; establishing a multi-objective optimization model considering the efficiency of the equipment # imgabs1 #, and incorporating the multi-objective optimization model into a stepped carbon transaction mechanism; constructing an RIES two-stage optimization model which comprises an upper-layer capacity configuration model and a lower-layer scheduling model; solving the established RIES two-stage optimization model, solving a Pareto leading edge of equipment capacity configuration by an upper-layer capacity configuration model by adopting an NSGA-III algorithm, and generating a plurality of groups of candidate schemes; the lower-layer scheduling model obtains an optimal scheduling strategy corresponding to each candidate scheme through a solver; and objective weighting is carried out based on an entropy weight method to determine index weight coefficients such as economy, carbon emission intensity and # imgabs2 efficiency, a TOPSIS method is adopted to carry out full-dimension quantitative evaluation on a Pareto leading-edge solution set, and an optimal capacity configuration scheme and optimal scheduling data of the system are selected. According to the method, the system energy efficiency can be improved, the carbon emission intensity is reduced, and the equipment configuration redundancy is optimized.

The invention provides an interconnection security and protection system based on the combination of a star flash technology and 5G-RedCap, and aims to solve the technical problems of complex wiring and high cost caused by wired connection of the existing interconnection security and protection system. The system comprises a concentrator and a cloud platform, and further comprises a plurality of detection devices, the concentrator and the plurality of detection devices are internally provided with star flash communication modules, adjacent detection devices communicate through the star flash communication modules, and the concentrator and the detection devices communicate through the star flash communication modules; the concentrator is further provided with a 5G-RedCap module, the concentrator is connected with the cloud platform through the 5G-RedCap module, and the cloud platform is connected with the mobile terminal. The detection equipment and the concentrator are respectively provided with a satellite flash communication module, so that mesh network networking in an area is realized, and a safety defense line in the area can be formed; the concentrator transmits equipment information in the area through the 5G-RedCap module and the cloud platform, networking between detection equipment can be achieved, mutual information linkage can be achieved, and the equipment information can also be uploaded to the cloud platform.

The invention is suitable for the technical field of data processing, and provides an illumination lamp data transmission system, which comprises a plurality of illumination lamps, a plurality of PLC concentrators respectively connected with the illumination lamps on an electric power circuit in a region where the illumination lamps are located, LPWAN gateways connected with the PLC concentrators, and a monitoring center communicating with the LPWAN gateways through an LPWAN network. The lighting lamp is provided with a data acquisition module and a PLC module; the PLC concentrator is provided with a modulation-demodulation module, an error detection module and a data forwarding module; the LPWAN gateway is provided with a data coding module, a data packaging module and an LPWAN communication module; the monitoring center comprises a data receiving module, a decoding processing module and a data processing module. The problem that an existing lighting lamp is poor in data transmission signal stability in a special environment where communication is inconvenient is solved.

The invention provides a concentrator communication path intelligent selection method based on mode recognition, and the key point of the technical scheme is that the method comprises the steps: configuring a data collection function module, and obtaining the multi-source index data of each communication path; performing time window alignment and sliding statistical preprocessing on the collected original index data, and normalizing the index data respectively; obtaining a real-time link quality score and a load attenuation mapping function value based on the normalized index data, and calculating a first optimization feature of each communication path; obtaining historical stability of link quality and path switching smoothness, and calculating a second optimization feature of each communication path; calculating a final score of each communication path based on the first optimization feature and the second optimization feature; a communication path is selected to issue a routing strategy, and model parameters are fed back and updated online; according to the method, all-directional balance of path performance, node load and historical stability can be realized, and the timeliness and stability of concentrator communication path selection are improved.

A chiplet hub for interconnecting a series of connected chiplets and internal resources. An HBM is mounted on top of the chiplet hub to provide multiple party access to the HBM and to save System in Package (SIP) area. The chiplet hub can form system instances to combine connected chiplets and internal resources, with the system instances being isolated. One type of system instance is a private memory system instance with private memory gathered from multiple different memory devices. The chiplet hubs can be interconnected to form a clustered chiplet hub to provide for a larger number of chiplet connections and more complex system. A DMA controller can receive DMA service requests from devices other than a system hosted, including in cases where the chiplet hub is non-hosted.

The invention discloses a container logistics ecological chain large model system based on a joint model, and relates to the technical field of container logistics, and the system comprises real equipment, a Tos system, a real-time data concentrator, a virtual port, a database, and an LLM. The real equipment is key operation objects of a port site and comprises quay cranes, wheel cranes, inner container trucks, storage yards, ships and the like, and each object continuously outputs real-time operation state data; and the Tos system is responsible for receiving and processing real-time data from real equipment. According to the container logistics ecological chain large model system based on the joint model, a scheduling strategy with sensing, decision-making and self-adaption capabilities is formed by training an agent in a virtual port environment, and real-time deployment and application are performed in an actual port, so that multi-type equipment and multi-task concurrent scheduling can be supported; efficient, real-time response and dynamic rescheduling capability are realized, and the overall intelligent level, loading and unloading efficiency and handling capacity of port operation are improved.

The invention provides a communication method and system based on HPLC and HRF dual-mode fusion, belongs to the field of power line carrier communication, and solves the problem that the communication performance is still insufficient in a three-phase four-wire system low-voltage power grid environment. The method comprises the following steps: in a high-speed power line carrier communication channel of a three-phase four-wire system power grid, dynamically learning an electric phase of each terminal through a carrier coupling success rate, constructing an electric phase identification model, and recording communication characteristics of a phase line to which each terminal belongs; identifying link isolation states among different phase lines by combining an electric phase communication map generated on the concentrator side based on the phase information of each terminal; and under the condition of determining that a cross-phase communication bottleneck exists based on the link isolation state, executing a preset collaborative packet sending optimization strategy, and in the optimization process, establishing an out-phase relay path through a high-speed wireless communication channel.

Some embodiments of the invention provide a method for interconnecting hub router clusters in an SD-WAN. The method is performed for each hub router of a first cluster and located in a first of multiple regions connected by the SD-WAN. The method establishes a connection with a respective hub router of a second cluster and located in a second of the multiple regions. The method sends, to a route reflector for the first region connected to the first cluster, a first peer-connection notification identifying the hub router as a next-hop for reaching the respective hub router. For each other hub router of the first cluster, the method receives from the route reflector a second peer-connection notification identifying the other hub router as a next-hop for reaching the other hub router's respective second cluster hub router for use in reaching edge routers connected to each other hub router's respective hub router.

The invention relates to a transformer area topology identification method and device based on a carrier communication network, and a concentrator. The method comprises the following steps: determining electric energy meter nodes in the same phase line and the same court and electric energy meter nodes in a cluster unit of the lowest level in a plurality of cluster units; performing hierarchical identification on the plurality of cluster units by adopting a carrier communication network to obtain hierarchies of the plurality of cluster units; according to the electric quantity data sent by the monitoring device corresponding to each branch box cluster unit in the plurality of cluster units and the electric quantity data sent by the monitoring devices corresponding to the superior power distribution room unit and the subordinate plurality of meter box units of each branch box cluster unit, determining an outgoing line and incoming line corresponding relation of the branch box cluster units in the plurality of cluster units, and forming a transformer area topological graph. By adopting the method, the transformer area topology identification can be carried out based on the carrier communication network, so that the situation that signal receiving devices are additionally arranged on branch boxes and electric meter boxes in a power distribution network is avoided, and the cost of transformer area topology identification is further reduced.

Some embodiments of the invention provide a method for forwarding packets through an SD-WAN. The method is performed at a route reflector that advertises routes to facilitate forwarding of packets between first and second regions of the SD-WAN. The method advertises (1) to a first set of edge routers in the first region, a first route identifying a next-hop first hub router for initiating communications with a second set of edge routers in the second region, and (2) to the second set of edge routers, a second route identifying a next-hop second hub router for initiating communications with the first set of edge routers. When the second hub router loses connectivity to a first edge router of the first set of edge routers, the method advertises to the second set of edge routers a third route identifying the next-hop first hub router for initiating communications with the first edge router.

A certificate management service (CMS) may securely provision and rotate certificates for edge devices. The CMS may pre-register a unique device ID of an edge device (e.g., provided by the device manufacturer). When the edge device is installed at the client's remote network, it is provisioned with a common bootstrap certificate that allows the edge device to initially establish a secure to connection to a local hub device and to request a client certificate. The CMS receives the request for the client certificate, which includes the unique device ID. Since the unique device ID was pre-registered at the CMS, the CMS authenticates the request for the client certificate. The CMS causes a signed client certificate to be delivered back to the edge device, which may be used by the edge device to establish subsequent secure connections.

The invention discloses a concentrator dynamic routing method and system. The method comprises the following steps: storing an equipment code of each collector to a remote monitoring terminal; the concentrator obtains the equipment coding information of all collectors in the jurisdiction of the concentrator from the remote monitoring terminal; constructing a hierarchical routing network according to the broadcast response condition between the concentrator and the collector; and dynamically selecting a relay node for a lower-layer collector according to the communication quality evaluation score. According to the invention, all collector nodes can be automatically identified and layered, and a flexible and adjustable network topology is constructed; dynamically selecting an optimal relay node by adopting a comprehensive calculation method of multi-dimensional communication quality parameters; when a communication environment or an equipment state changes, automatic reconstruction of a hierarchical routing network and dynamic optimization of a relay node are supported. The method can effectively improve the communication efficiency and network stability between the concentrator and the collector, and is widely applied to the fields of intelligent meter reading, industrial control, environment monitoring and the like.

The invention discloses an application resource adaptive allocation management system for a concentrator, which relates to the technical field of concentrator management and comprises a monitoring module, a resource allocation module, a priority management module, a resource recovery module and a data storage module. According to the invention, the resource use conditions of the CPU, the memory, the bandwidth and the terminal equipment are monitored in real time, and the network flow and the terminal equipment demand data are collected. A resource allocation strategy is dynamically adjusted to ensure efficient utilization of resources. And according to the task type, the important value of the terminal equipment and the CRDI value, the priority is dynamically adjusted to ensure that the key task and the important terminal equipment preferentially obtain resources when the resources are insufficient. By monitoring the resource utilization rate and the task state, the recycling operation is triggered in real time, and the idle resources are redistributed to the current terminal equipment with the demand, so that the overall resource use efficiency is optimized.

The invention relates to the technical field of distribution network management, in particular to a distribution network management electricity meter state analysis method and system. According to the technical scheme, the distribution network management electricity meter state analysis method comprises the following steps that S1, multiple layers of edge computing nodes are deployed in a power distribution network, first-level nodes are deployed in a power distribution station, second-level nodes are deployed in an electricity meter concentrator, and computing resource distribution of the edge nodes is dynamically adjusted based on electricity meter distribution density and real-time loads; s2, through a collaborative acquisition mechanism of the first-level node and the second-level node, acquiring operation data of the electric meter in real time; and S3, transmitting the classified and marked data by adopting a multi-modal compression strategy: compressing the periodic monitoring data by using difference value coding, and extracting the sudden abnormal data by using a feature abstract. By constructing a multi-level edge collaborative acquisition mechanism and a 5G network slice transmission channel, the real-time bottleneck of traditional manual inspection and fixed-period acquisition is broken through.

The invention discloses a transformer area topology identification method and system capable of being deployed in a concentrator, equipment and a medium, and the method comprises the steps: solving an initial virtual impedance matrix based on historical electrical quantity data of a transformer area, and taking the minimum deviation between an optimization result and the initial matrix as an optimization target; and taking symmetry constraint, boundary constraint and collinear constraint as constraint conditions, and performing iterative solution to obtain an optimized virtual impedance matrix, so that the optimized virtual impedance matrix is closest to an original matrix on the basis of conforming to the actual topology, noise interference can be eliminated, the topology identification precision is improved, the method can dynamically adapt to a transformer area change scene, and the method is suitable for being applied to a transformer area. The method has high robustness, the unstructured virtual impedance matrix can be fitted into a unique solution conforming to physical topology, fuzziness of a traditional method is avoided, the whole recognition process only depends on historical electrical quantity data of the transformer area, no initial topology information is needed, and the high-precision transformer area topology can be constructed from zero.

The utility model relates to a concentrator communication unvarnished transmission circuit and equipment based on Ethernet interface instant configuration and capable of being compatible with various devices, and the circuit comprises a general control module which is used for achieving the configuration setting of the Ethernet for various devices; the channel modules are connected with the master control module and used for configuring interfaces connected with different devices; the network module is connected with the master control module and is used for realizing network remote configuration of the channel module; the CAN communication module is connected with the master control module and is used for realizing upper control; the storage module is connected with the master control module and used for storing the operated control program and data, and the storage module is further in bidirectional data connection with the CAN communication module; and the power supply module is connected with the master control module and is used for supplying power to all the modules. Therefore, the compatibility of the equipment is improved, remote unified management is realized, the configuration process is simplified, and the security and stability of the system are enhanced.

A heating, ventilation and air conditioning (HVAC) control system comprising: a smart base attached to a building; and a hub which is dockable to the smart base; wherein: the smart base comprises: a user interface for controlling a limited set of HVAC parameters; and a wireless communication module; the hub comprises: a user interface for controlling a comprehensive set of HVAC parameters; and a wireless communication module; and wherein the hub and the smart base are configured to enable the hub user interface to control the comprehensive set of HVAC parameters if the hub is docked to the smart base; or the hub is undocked from the smart base and the hub is within communication range of the smart base over the low power wireless network.