59 results about "Smart gateway" patented technology

1. The name of the design product: intelligent gateway. 2. The use of the design product: for connecting network and Internet of Things home. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view 1.

The application discloses a power distribution cabinet monitoring method and system based on cloud-edge fusion technology and an intelligent power distribution cabinet, and relates to the technical field of power distribution cabinet control. The method comprises the following steps: dynamically forming an edge cluster, electing a main cooperative node and at least one backup cooperative node in the edge cluster, fragmenting, redundantly encoding and transmitting abnormal data, and the main cooperative node executing or forwarding control instructions according to the feedback state of the cloud platform. Through the dynamic election mechanism of the intelligent gateway, the cooperative responsibilities in the edge cluster can be circulated according to the instant state of each node, thereby improving or even avoiding the problem of long-term overload of individual intelligent gateways caused by uneven time and space distribution of abnormal events. Through the introduction of the fragmentation and redundancy coding technology of abnormal data, the transmission task originally concentrated on a single link is decomposed and dispersed to multiple independent nodes and links, thereby reducing the systemic risk of local surface failure caused by the single-point failure diffusion of the cooperative gateway in the traditional scheme.

1. The name of the design product: intelligent gateway. 2. The use of the design product: connecting different network devices, responsible for data packet forwarding, protocol conversion and security control functions. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

This invention discloses a LoRa wireless monitoring system and method based on a smart gateway. The system includes: a host computer monitoring system, a smart gateway, a data receiving board, and multiple data acquisition boards. The data acquisition boards are installed near photovoltaic strings and are responsible for collecting voltage, current, and temperature data, serving as LoRa terminal devices. The data receiving board acts as a LoRa base station, wirelessly communicating with multiple data acquisition boards via a LoRa module and connecting to the smart gateway via Ethernet. The smart gateway of this invention serves as the core hub of the LoRa wireless monitoring network. Firstly, it preprocesses data using edge computing capabilities. Secondly, it employs a scheduling algorithm based on dynamic time slot allocation to actively manage downlink and uplink data streams, significantly reducing channel conflicts during large-scale terminal access. Thirdly, it constructs a gateway-level firmware over-the-air upgrade security relay and verification mechanism, performing digital signature verification and decryption of the firmware package during remote updates to ensure the security of terminal devices.

The application relates to a charging power distribution method based on an intelligent gateway, the intelligent gateway and a storage medium. The intelligent gateway is used for being connected with multiple charging piles and forming a charging network. The method comprises the following steps: determining a candidate charging pile meeting a preset power adjustment condition as a target charging pile according to a candidate charging pile set, the candidate charging pile set comprising multiple candidate charging piles, and the candidate charging pile being a charging pile in a charging state in the charging network; acquiring the maximum available charging power of the candidate charging pile set; and calculating the target charging power of the target charging pile according to a load balancing algorithm and the maximum available charging power. The maximum available charging power of the charging network and the target charging pile are determined by the intelligent gateway, and the distribution power of the target charging pile is calculated by the intelligent gateway according to the load balancing algorithm, so that the charging pile only needs to perform a charging task according to the distribution current, the load balancing function and the charging function of the charging pile are decoupled, and the design of the charging pile is simplified.

1. Name of the product in this design: Smart Gateway (Internet of Things). 2. Purpose of this design: For connecting to networks and IoT home smart gateways. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

1. Name of the product in this design: Smart Gateway (SG-100W). 2. Purpose of this design: For network connection between the Internet and hardware products. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. The name of the design product: intelligent gateway (virtual power plant frequency modulation). 2. The use of the design product: for intelligent gateway, through which data reception, data upload and data downlinking functions can be realized. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The utility model discloses a kind of circuit breaker with ground line monitoring and N-phase voltage measurement function, comprising: circuit breaker body, ground line, communication line, intelligent gateway and display component, circuit breaker body includes phase pole piece, the side of phase pole piece is provided with N phase, ground line electrically connected in the grounding end of circuit breaker body, communication line electrically connected in the communication end of circuit breaker body, intelligent gateway electrically connected in the end of communication line away from circuit breaker body, and intelligent gateway is used to control the opening and closing of circuit breaker body. Compared with traditional circuit breaker, it has the ability to simultaneously access A, B, C and N phases, and an additional ground line interface has been developed, which can measure N-pole voltage. The data obtained by the new circuit breaker can be further edited to control the opening and closing of abnormal voltage on site, effectively preventing circuit burnout caused by the inability to automatically cut off the short circuit.

This application discloses a network device control method, apparatus, and system based on voiceprint recognition, relating to the field of smart home control technology. A cloud server receives voice commands sent by a smart gateway, which are obtained by the smart gateway from a user device. Voiceprint information is obtained from the voice commands. The operation content corresponding to the voice commands is determined. A target user is determined based on the voiceprint information. A target control scenario is determined based on the target user and the operation content. The target control scenario can be a single-person control scenario or a multi-person control scenario. The target control scenario includes at least one operation information, which includes operation object information and corresponding operation commands. The smart gateway sends corresponding operation commands to each operation object in the operation information, solving the problem of insufficient convenience of voice control for electrical appliances in the prior art.

1. The name of the design product: intelligent gateway (Internet of Things). 2. The use of the design product: for Internet of Things gateway. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

This invention discloses a bandwidth allocation method, apparatus, device, and medium in a digital twin scenario. The method includes: a smart gateway in the digital twin application system receiving access data from a monitored area and viewing the data information; storing the current access data of the monitored area in a cache and predicting the population access distribution within the monitored area in the next scheduling cycle; iteratively optimizing the predicted population access distribution using a reinforcement learning-based method within a preset time; selecting the optimal strategy during the iteration process as the bandwidth allocation strategy for the next scheduling cycle, and distributing the strategy to sensors and / or smart terminals in the digital twin application system. This invention predicts the population access distribution, enabling targeted identification of grids containing hot data and reasonable differentiated bandwidth allocation, thereby ensuring the real-time performance of the digital twin application. This invention can be widely applied in the field of communication technology.

This invention discloses a method and system for energy consumption analysis of highway power equipment based on smart gateways. The method includes: acquiring power equipment operation data collected by smart gateways deployed at multiple nodes along the highway; identifying operational energy consumption correlation characteristics corresponding to each smart gateway based on a preset correlation model; predicting the gateway area risk corresponding to each smart gateway based on the operational energy consumption correlation characteristics using a prediction model; and performing energy consumption structure analysis on the highway and identifying abnormal energy consumption data based on the gateway area risk, thereby outputting operational management suggestions for the power equipment. Therefore, this invention can achieve digital monitoring and risk warning of the operational status of highway power infrastructure, thus providing scientific decision-making suggestions and data support for the precise operation and management of power equipment.

The application provides a power distribution intelligent gateway data integration system and method, and relates to the technical field of gateway data integration.The method comprises the following steps: obtaining gateway historical collection data of an intelligent gateway, performing classification processing based on data types, and forming different gateway type integrated data; performing feature information extraction of data application on different gateway type integrated data, and forming gateway type application feature information; obtaining real-time collection data of the intelligent gateway, combining the gateway type integrated data and the gateway type application feature information to perform feature integration analysis, and forming real-time data integration analysis result information; and performing integrated processing on the real-time collection data according to the real-time data integration analysis result information, and forming real-time gateway integrated data.The method fully guarantees the reasonable and efficient integration of the gateway on the collection data, provides convenience for fault early warning, data source tracing, data subsequent extraction processing and the like, and makes the data processing of the gateway more efficient, reasonable and accurate.

The utility model provides a kind of intelligent gateway dustproof structure, including intelligent gateway main body;Still include dustproof air inlet component, dustproof air inlet component is by circular wind shell, volute plate and air pipe constitute, the inner chamber of circular wind shell is provided with volute plate, forms the air inlet air duct of central spiral convergence;The sidewall of circular wind shell is also fixedly connected with air inlet pipe, by in airflow enters gateway heat dissipation air duct before, using the rotational flow of forced formation carries out pre-treatment to air, can make dust particle and floccus fiber of density greater than air be thrown to the inner wall of circular wind shell under centrifugal force, to realize dust gas separation, to reduce the dust and fiber content of directly entering gateway interior.

This invention belongs to the field of emergency communication technology, specifically an integrated earthquake emergency communication and response system, comprising: a housing with a through-hole at the bottom and a protective mechanism inside; communication equipment mounted on top of the shock-absorbing mechanism; and an integrated air-ground communication and response platform, with the communication equipment serving as the core node and intelligent gateway on-site, integrated within the housing. This invention overcomes the unreliability of single-link communication by integrating multi-dimensional air-ground communication methods, significantly improving the robustness of communication support in complex and harsh environments. It can utilize drones as mobile relays and reconnaissance nodes to dynamically extend network coverage, effectively solving the "last mile" access problem and enhancing the perception and communication capabilities at the rescue site. It seamlessly integrates on-site information collection, communication transmission, intelligent analysis, and decision support, significantly improving the decision-making speed and response efficiency of earthquake emergency rescue.

The utility model discloses an industrial internet data security intelligent gateway, including intelligent gateway, the front end of intelligent gateway is installed the front cover, the front end right lower part position of front cover is installed knob, the inside frame left and right sides of intelligent gateway are provided with respectively and plug in the slot mouth no.

The application provides an edge intelligent gateway device of a power internet of things based on an electric power system and a management method. Through a high-performance backboard and a flexible hot plug design, the application realizes the modularity and expansibility of the power internet of things equipment. In combination with the coordinated work of an intelligent master control card, a two-layer switching card and a heterogeneous subsystem card, the high-speed transmission of data, protocol conversion, intelligent management of network traffic and fault-tolerant switching are guaranteed, so that the high reliability, real-time performance and efficient operation of the system are ensured, and the multi-protocol data communication demand of the power internet of things is adapted.

This application relates to a self-optimizing control method and system for the operating state of an AI smart gateway. The method includes: preprocessing the real-time operating data of the gateway to obtain a unified state representation; calculating conflict features based on the covariance of historical multi-objective performance reward data; inputting the unified state representation into a target-specialized virtual agent to generate preference suggestions; extracting dynamic environmental features; inputting these and the conflict features into a meta-coordinator network to output jointly optimized actions; constructing an experience tuple; triggering a rapid adaptive mechanism when the environment changes abruptly; freezing the parameters of each target-specialized virtual agent; and updating the meta-coordinator network. This method, by constructing a hierarchical architecture of target-specialized virtual agents and a meta-coordinator, and introducing conflict feature perception and a meta-learning rapid adaptive mechanism, achieves dynamic modeling of multi-objective conflict relationships and rapid policy transfer under sudden scenarios, thereby improving the efficiency of multi-objective collaborative optimization and adaptive decision-making capabilities of the AI ​​smart gateway in dynamically changing environments.

The application discloses a gantry crane safety monitoring management system based on artificial intelligence, and belongs to the technical field of crane safety monitoring. The system comprises a data acquisition module, a video acquisition module, a wireless transmission module, an artificial intelligence analysis module and a remote monitoring terminal. The data acquisition module acquires crane operation data and standardizes and encapsulates the crane operation data, and the video acquisition module completes global video acquisition of work. Various types of data are encrypted and transmitted to the artificial intelligence analysis module through an industrial-grade wireless network bridge. The module relies on an edge intelligent gateway, calls a cloud multi-modal large model through a standard interface, carries out data flow analysis and video flow analysis, and outputs safety early warning and linkage control instructions in stages. The remote monitoring terminal realizes remote centralized management and control, data query and report generation. The application provides a more perfect and intelligent gantry crane safety monitoring management system based on artificial intelligence.

1. Name of the product in this design: Smart Gateway. 2. Purpose of this design: To provide network communication for different network devices. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This invention discloses a CAN smart gateway for heterogeneous industrial networks and its implementation method. The method includes: parsing the raw signal through a protocol stack; mapping the parsed data to a unified data model to obtain unified data, and performing cross-protocol signal consistency verification; determining the CAN identifier corresponding to the unified data and assembling it into a complete CAN FD frame; and sending the CAN FD frame to the CAN bus network through a CAN controller, adaptively adjusting the transmission time window occupied by different protocols. This invention, by parsing the raw signal of a heterogeneous industrial network through a protocol stack and mapping it to a unified data model, achieves unified expression and processing of multi-protocol data, improving the data fusion efficiency, real-time performance, and system stability between heterogeneous industrial networks and the CAN bus.

The application discloses a method for determining a living mode. The method comprises: acquiring behavior data of a device connected to a smart gateway; inputting the behavior data into a feature extraction model, extracting key features of the behavior data by using the feature extraction model to obtain first key feature data of the behavior data; inputting the first key feature data into a classifier model, decoupling the first key feature data by using a quantum state decoupling unit of the classifier model to obtain second key feature data, determining a transmission path of the second key feature data in a capsule neural network layer, adjusting the transmission path by using a quantum logic gate, and obtaining a target classification result corresponding to the transmission path, wherein the target classification result represents a living mode of an area where the smart gateway is located. The living mode of the area where the smart gateway is located is classified by using more fine-grained data, and the accuracy of the classification result is improved.

A smart gateway device, system, and management method thereof are disclosed. The smart gateway device includes a smart model pool, suitable for directly outputting inference results corresponding to input data based on a preset model; and a rule engine, suitable for obtaining preset schemes based on preset rules. This invention, through a lightweight smart model pool and a rule engine with a mapping relationship between preset rules and preset schemes, enables intelligent management tasks to be completed at the smart gateway, featuring low latency and real-time performance, improving privacy while enhancing user experience.

The application discloses a kind of intelligent gateway equipment interconnection methods of bluetooth ad hoc network protocol, the method includes: based on pre-constructed bluetoothMesh network, interconnect with multiple intelligent gateway;According to the motion state data and communication quality index of each node device in bluetoothMesh network periodically monitored at preset monitoring interval, identify topological shock event by preset cluster movement analysis mechanism;The preset cluster movement analysis mechanism is set to: determine dynamic risk node group based on the migration probability value of each node device, generate space situation feature vector, utilize the topological shock event prediction model of pre-training completion, output the identification result of topological shock event;Based on the identification result of topological shock event, trigger the pre-response operation to dynamic risk node group.Therefore, through the accurate prediction of topological shock event, the high reliability of network service is realized.

The application provides a data security monitoring method, device, intelligent gateway, system and storage medium for coal mine gas emission reduction. The method comprises the following steps: acquiring first time series data collected by at least one sensor of a to-be-monitored device within a recent preset time period; generating a dynamic threshold according to the first time series data; acquiring second time series data collected by the at least one sensor of the to-be-monitored device; detecting whether the second time series data is within the dynamic threshold range; in the case that the second time series data is not within the dynamic threshold range, marking the second time series data as abnormal data; otherwise, marking the second time series data as normal data; and transmitting the second time series data marked as normal data to a national carbon market management platform. The embodiment of the application can transfer the task of abnormal data discrimination to the intelligent gateway side, greatly reducing the data transmission amount of the gateway and the national carbon market management platform, and avoiding waste of network bandwidth and storage resources.

The application is applied to the technical field of automobile architecture, and provides a whole vehicle electrical architecture with separated upper and lower vehicle bodies and an automobile, wherein the whole vehicle electrical architecture comprises: an upper vehicle body electrical module, a lower vehicle body electrical module and an intelligent gateway; the intelligent gateway comprises: a first gateway chip module, a second gateway chip module, a first microcontroller module, a microprocessor module and a plurality of second microcontroller modules; the first gateway chip module is connected with the first microcontroller module and the upper vehicle body electrical module, so as to realize the communication between the first microcontroller module and the upper vehicle body electrical module in a first network segment; the microprocessor module, the lower vehicle body electrical module and the plurality of second microcontroller modules are connected through the second gateway chip module, so as to realize the communication between the microprocessor module, the lower vehicle body electrical module and the plurality of second microcontroller modules in a second network segment.

The application relates to an AI intelligent gateway edge computing resource dynamic scheduling method and system. The method comprises the following steps: performing semantic decoupling and feature extraction on task descriptions in AI tasks to generate a task semantic unit set and a semantic feature vector; collecting real-time performance data of edge nodes to generate a dynamic resource portrait vector and a resource opportunity window prediction sequence; based on the above data, a collaborative decision model is used to generate an executable scheduling scheme containing a semantic unit and edge node binding relationship, a calculation accuracy parameter and an expected execution time window; an instruction set is executed and runtime performance data is collected to update a timing prediction model and a collaborative decision model. Through the closed-loop optimization of task semantic decoupling and feature extraction, resource dynamic sensing and prediction and the collaborative decision model, the accuracy and adaptability of edge computing resource scheduling are improved, the low delay, high precision and high reliability requirements of multi-modal AI tasks are better met, and the large-scale application of edge intelligence is promoted.