147 results about "Iot gateway" patented technology

The invention relates to the technical field of Internet of Things gateways, and discloses an Internet of Things gateway device and system based on edge computing, and the device comprises a hardware heterogeneous computing module and a multi-interface protocol adaptation module. The edge calculation local processing module is used for performing preprocessing, feature extraction and local decision on the acquired terminal data; the network redundancy and self-healing module is used for realizing accurate network disconnection detection, seamless switching of a main network and a standby network and equipment fault self-recovery through a multi-dimensional network health degree evaluation algorithm; the local autonomous storage module is used for realizing hierarchical storage of high-frequency data and network disconnection emergency data and seamless synchronization after network recovery through network disconnection data hierarchical caching and an incremental synchronization algorithm; and the cloud collaborative management module is used for realizing remote configuration, OTA upgrading and state monitoring. The method is high in integration, low in delay and fast in response, adapts to real-time scenes, saves bandwidth cost, improves cloud efficiency, is high in reliability, and realizes network disconnection and continuous operation.

The invention discloses a dual-channel adaptive network stability testing method and system, and belongs to the technical field of computer network testing. The system adopts a dual-channel asynchronous communication architecture in which a control channel and a data channel are physically separated, instructions and state information are transmitted through an independent TCP control channel, and high-speed test data streams are transmitted through a UDP or TCP data channel. The method comprises the following steps: dynamically and adaptively adjusting a timeout parameter based on real-time network delay detection; nanosecond constant interval packet sending control is realized by using a high-precision monotonic clock source and busy waiting compensation mechanism; a packet loss detection, positioning and ACK confirmation mechanism based on the serial number is realized in an application layer; and real-time statistical display and idle detection automatic termination are realized through multi-thread parallel processing. According to the invention, the precision, the stability and the adaptive capability of network testing are remarkably improved, and the method is suitable for long-time stability testing in various scenes such as a high-speed Ethernet, a satellite link, an industrial Internet of Things gateway and the like.

The invention relates to the technical field of Internet of Things data processing, in particular to a multi-modal data real-time processing method for an Internet of Things gateway, and the method comprises the steps: obtaining multi-source operation data, and packaging the multi-source operation data into a standard operation data set; obtaining high-bandwidth modal data in the standard operation data set; when the maximum link delay time is greater than a preset delay abnormal threshold value, obtaining a version effective fingerprint of the target model and a local model fingerprint; when a model version abnormity diagnosis result is obtained, calculating information redundancy; obtaining correction delay time, and comparing the correction delay time with a preset normal reference delay interval; and when the correction delay time is greater than or equal to the upper limit value of the normal reference delay interval, adjusting the current decision period. By monitoring delay in real time, diagnosing consistency of model versions, eliminating redundant information and executing link adjustment, accurate processing of high-bandwidth modal data is realized, and real-time performance and reliability of Internet of Things gateway data processing are improved.

The invention relates to the technical field of state monitoring, in particular to a state monitoring method and system based on a power grid intelligent Internet of Things gateway device, and the method comprises the following steps: based on the Internet of Things gateway device, collecting and analyzing multiple types of sensor signals, carrying out the unified arrangement to form a multi-parameter cooperative monitoring sequence, and comparing the changes of current and voltage signals; and extracting a synchronous response ratio feature group, calculating a thermoelectric trend consistency index in combination with the temperature change trend and the current amplitude, screening an interference level section, and judging abnormal linkage. According to the method, cross-parameter trend extraction, collaborative response, difference comparison and section identification are realized, correlation characteristics of multi-source signals in a continuous time period can be converted into identification basis, an abnormal forming process, a response link and state evolution are discriminated by combined characteristics, and abnormal section, sequence attributes and synchronization factors are jointly applied, so that the accuracy of the multi-source signal identification is improved, and the reliability of the multi-source signal identification is improved. And the identifiability and the classification capability of abnormal events under complex working conditions are improved.

The invention provides an oil depot state low-cost monitoring method and system based on the Internet of Things, and relates to the technical field of oil depot detection, and the method comprises the steps: deploying a sensor group at the position of an oil depot storage tank, and collecting original monitoring data; preprocessing the collected original monitoring data, and then uploading the data to a cloud server through an Internet of Things gateway; based on the received data, the cloud server performs inversion calculation on the real-time liquid level height of the storage tank through an intelligent algorithm, and performs calibration calculation on the volume of the special-shaped storage tank; state fusion analysis and abnormity diagnosis are carried out based on the real-time liquid level height, the volume data and the multi-source environment data; and triggering graded early warning according to a preset rule based on results of analysis and abnormality diagnosis. According to the method provided by the invention, hardware deployment cost is revolutionarily reduced, and all-around efficiency leap from manual regular inspection to unmanned real-time monitoring, from single parameter measurement to multi-source fusion diagnosis, and from passive reading to active early warning is realized.

Disclosed is a system for providing dynamic spectrum access, the system comprising: one or more sensor nodes configured to collect environmental data; a plurality of Internet of things (IoT) gateways arranged in data or signal communication with the one or more sensor nodes via a network protocol, each IoT gateway comprising at least one spectrum channel; a distributed ledger configured for secure data processing between each of the plurality of IoT gateways and the one or more sensor nodes; and a dynamic spectrum access module arranged in data or signal communication with the plurality of IoT gateways, the dynamic spectrum access module configured to implement a deep learning algorithm, the deep learning algorithm configured to obtain the environmental data as input, parse the environmental data to obtain spectrum environment parameters, predict one or more use states of the at least one spectrum channel of each of the plurality of IoT gateways; and provide a spectrum access action based on the predicted one or more use states.

The application relates to the technical field of intelligent exhibition hall temperature control, and discloses an intelligent exhibition hall temperature central control system based on the Internet of Things, which comprises a data acquisition module, a feature extraction module, a trend prediction module and an optimization control module. The data acquisition module collects real-time temperature data through an Internet of Things temperature sensor node and generates temperature field data with time and space labels through time and space registration. The feature extraction module performs empirical mode decomposition on the temperature field data, extracts intrinsic mode function components and calculates temperature fluctuation feature vectors. The trend prediction module inputs the temperature fluctuation feature vectors into a long short-term memory network model to predict a predicted temperature sequence in a future preset time period. According to the difference between the predicted temperature sequence and a preset comfortable temperature threshold, the optimization control module adopts a multi-objective particle swarm optimization algorithm to iteratively optimize the valve opening degree of air conditioner terminal equipment, thereby generating a valve opening degree control instruction set. The instruction issuing module issues the valve opening degree control instruction set to corresponding actuators through an Internet of Things gateway.

The invention relates to the technical field of photovoltaic module string DC output current real-time monitoring and fault diagnosis, in particular to a photovoltaic string DC output real-time monitoring method and system and a computer readable storage medium. The method comprises the following steps: firstly, installing a group string level current monitoring unit at a direct current input port of a photovoltaic inverter, collecting direct current output current of a photovoltaic panel group string in real time through the monitoring unit, and then uploading collected group string current data to a monitoring platform through an Internet of Things gateway; and performing transverse comparative analysis on the group string current data based on the monitoring platform, identifying a complete disconnection or performance degradation fault, and when detecting that the group string current is abnormal, generating alarm information including a specific photovoltaic panel number and a physical position according to a preset group string topology database. According to the invention, the real-time and continuous monitoring of the DC output current of the photovoltaic panel group string and the accurate positioning of the panel level fault are realized, the fault response speed and the operation and maintenance efficiency are obviously improved, and the power generation loss and the operation and maintenance cost are reduced.

This invention discloses a multi-level collaborative SAW exhaled breath detection system and method based on a large language model, belonging to the field of SAW detection technology. The system includes a precision RF excitation control layer, an IoT gateway layer, and a cloud-based AI analysis layer. Data interaction between the three layers is achieved through a heterogeneous communication protocol stack. The precision RF excitation control layer includes a microcontroller, a DDS frequency synthesizer, and an SAW resonator; the microcontroller has a built-in pre-verification module. The IoT gateway layer includes a dual-core processor, a wireless communication module, and an I / O interface. 2 The system features an S-channel audio interface and a dual-core processor with a heterogeneous architecture. The cloud-based AI analysis layer includes speech recognition services, large language model inference services, a utility function definition library submodule, and a command string generation submodule. The system has an end-to-end device-level mapping channel from user speech to the DDS frequency synthesizer's frequency tuning word register. This invention lowers the operational threshold for precision SAW inspection and adapts to on-site inspection scenarios.

1. The name of the design product: the shell of industrial internet of things communication equipment. 2. The use of the design product: the shell of industrial internet of things communication equipment, especially suitable for the shell of industrial equipment such as internet of things gateway and intelligent communication gateway. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view.

This utility model discloses an IoT gateway, comprising a gateway housing, a slider fixedly connected to the upper surface of the gateway housing, a cover slidably connected to the outer surface of the slider, a rotating shaft fixedly connected to the inner surface of the cover, a torsion spring provided on the outer surface of the rotating shaft, a baffle rotatably connected to the outer surface of the rotating shaft, a snap-fit ​​seat fixedly connected to the rear surface of the cover, and a gateway interface provided on the front surface of the gateway housing. By incorporating the rotating shaft, torsion spring, and baffle, the unused gateway interface can be shielded, thereby reducing the possibility of dust particles entering the gateway interface and effectively preventing problems such as interface oxidation and short circuits caused by dust accumulation. Furthermore, the slider, snap-fit ​​seat, and limiting components allow for quick and easy manual disassembly of the cover without the need for screwdrivers or other tools, effectively solving the problem of low maintenance efficiency caused by traditional screw fixing methods.

Real-time transmission of IoT telemetry data to a third-party and use of such data by the third-party for purposes of determining IoT device-related recommendations specific to the IoT device user. Machine learning models receive the IoT telemetry data, as a least a part of the inputs, to determine recommendations that are tied to the IoT device and specific to the IoT device user. Non Fungible Tokens (NFTs) are minted by the IoT device manufacturer / distributor and hold a link to an IoT device identifier and an IoT device user identifier and include a smart contract formed between the third-party and the IoT device user that defines the criteria for the telemetry data that is to be acquired by the third-party. Use of the NFT allows for IoT gateways / data listeners to determine which IoT telemetry data is to be transmitted to the third-party and allows for the transmission to occur without identifying the IoT user in the transmissions.

1. The name of the design product: Internet of Things gateway. 2. The use of the design product: The design product is used to realize wireless communication and protocol conversion between different devices. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This invention provides a multi-protocol smart IoT gateway device, solving the problems of traditional gateways such as limited functionality and protocol support. It utilizes a MIPS 1004Kc dual-core chip for computing and integrates WiFi 6E, LoRa, and 5G modules to achieve multi-protocol convergence. The software is based on OpenWRT, featuring intelligent adaptive protocol stack dynamic parameter adjustment, encryption and authentication for security, and intelligent channel and power adjustment to optimize communication and energy consumption. It is suitable for smart cities, industrial IoT, and smart homes, providing a stable and reliable communication solution.

The invention relates to a MODBUS wireless 4G Internet of Things gateway and an operation method, and relates to the technical field of Internet of Things, and the Internet of Things gateway comprises a bottom cover, a circuit board is installed in the bottom cover, a top cover is inserted into the top of the bottom cover, a cooling fan is installed in the bottom cover, a partition plate is installed on the top of the circuit board, and the partition plate is inserted into the top of the bottom cover. The cooling fan is arranged between the partition plate and the inner wall of the bottom cover, an air duct is further installed in the bottom cover, and heat conduction assemblies are installed in the bottom cover and the top cover. The heat dissipation fins I and the heat conduction plate I are mounted in the bottom cover to conduct heat, the partition plate is mounted at the top of the circuit board to divide the internal area into two parts, and the heat dissipation fan and the air duct drive internal air to circularly move, so that the heat conduction plate I and the heat conduction plate II are matched to discharge heat, and the heat dissipation efficiency is improved. Therefore, the heat dissipation effect is improved while the sealing performance of the gateway is not damaged, and the heat dissipation influence caused by dust, impurities and the like is reduced.

The application discloses an intelligent Internet of Things gateway system supporting edge computing deployment functions, and relates to the technical field of Internet of Things application.The gateway has wide adaptability, can be applied to various application scenarios such as intelligent factories, smart homes and smart agriculture, realizes end-to-end capability from a sensing device to an application, guarantees data independence and security, can flexibly deploy functions in gateways of different levels according to requirements, provides edge computing capability, supports unified access of heterogeneous devices, provides various deployment modes, and is high in flexibility, dynamically establishes a route between data and an application, realizes flexible integration of data transmission and processing, and realizes loose coupling between Internet of Things applications and between Internet of Things applications and the gateway.

The invention discloses a logistics forklift intelligent maintenance method and system based on the Internet of Things, and relates to the technical field of intelligent maintenance. According to the method, hydraulic working condition data of a forklift are collected in real time through sensors arranged at all positions of a hydraulic system, a power loop and a hoisting mechanism, data processing is conducted through a vehicle-mounted IoT gateway, and the data are stored in a database; the method comprises the following steps of: acquiring a hydraulic energy efficiency index Lcx, encrypting and transmitting the hydraulic energy efficiency index Lcx to a cloud maintenance platform through MQTT in a second-level period, performing structured storage and integrity verification by using a time sequence database, performing pressure attenuation rate, hydraulic energy efficiency and energy efficiency degradation analysis, constructing a comprehensive steady-state offset index Lcx to perform state stability evaluation, automatically generating maintenance information of different priorities, and performing maintenance management on the hydraulic energy efficiency index Lcx. Triggering maintenance work order scheduling and emergency disposal; after maintenance is completed, a maintenance log is generated and stored in the knowledge base. According to the method, closed-loop management of the hydraulic system from real-time monitoring, anomaly recognition and comprehensive evaluation to maintenance execution and knowledge accumulation is achieved, and the safety, maintenance efficiency and reliability of the forklift hydraulic system are improved.

The invention relates to the technical field of data processing, and particularly provides a multi-protocol Internet of Things data forwarding method, system and device and a storage medium, and the method comprises the steps: receiving an original data packet, and generating a data fingerprint; inquiring a first cache according to the first cache, directly acquiring intermediate format data if the first cache is hit, otherwise, analyzing and caching; determining a forwarding target through rule matching based on the data; in combination with the data fingerprint and the target query second cache, directly acquiring the coded target data packet if the target query second cache is hit, otherwise, performing caching after coding; and finally, performing security verification on the target data packet and forwarding the target data packet. According to the method, the processing efficiency and the system stability of the Internet of Things gateway are remarkably improved through two-stage cache multiplexing analysis and coding results.

The invention discloses a real-time early warning system of a bridge structure health big data cloud platform, and relates to the technical field of civil engineering structure health monitoring. The system collects related data, and a structured data set is generated through unified sampling, filtering and denoising, missing value complementation and time sequence alignment of the industrial Internet of Things gateway. And the cloud platform constructs an eight-dimensional feature matrix based on environmental excitation modal analysis, stress influence line variation coefficient calculation and a crack propagation model, and evaluates the structure technical condition grade in combination with Bayesian dynamic correction and industry specifications. The health index is corrected through the age limit, the load and the environment reduction coefficient, and multi-stage early warning threshold values are set to trigger graded early warning. The system adopts a non-inferior solution sorting genetic algorithm, takes the lowest safety risk and the optimal life cycle cost as double targets, combines time, resources and safety constraints, generates an optimal maintenance plan, realizes intelligence and closed loop of bridge health management, effectively prolongs the safety life of the bridge, and reduces the operation and maintenance cost.

The invention relates to the technical field of smart home, in particular to a smart table and a smart home system. The intelligent table comprises a plurality of RFID (Radio Frequency Identification Device) reader-writers, a plurality of NFC tags and a plurality of RFID reader-writers, wherein the plurality of RFID reader-writers are configured to be associated with the articles provided with the NFC tags; and the Internet of Things gateway module comprises a main control chip and a multi-protocol communication unit, the main control chip is connected with the plurality of RFID reader-writers, and after the main control chip receives the NFC tag identified by the RFID reader-writers, the main control chip sends a control instruction to external equipment through the multi-protocol communication unit so as to realize a preset scene bound with the NFC tag.

This invention relates to the field of Internet of Things (IoT) communication technology, and more particularly to a dynamic allocation method, system, device, and medium for IoT gateways. The method includes: constructing a global state information database; when a sensor node needs to connect to an edge computer, the edge computer, based on the global state information database, filters all communication gateways according to a preset candidate set filtering strategy to obtain a set of candidate communication gateways; performing a weighted comprehensive calculation on each communication gateway in the candidate set to obtain an adaptation score for each communication gateway; obtaining a target communication gateway based on the adaptation score of each communication gateway combined with a preset switching mechanism; and the edge computer issuing an instruction containing the address code of the target communication gateway to the sensor node, thereby establishing a connection between the sensor node and the target communication gateway and transmitting data. This invention improves the system's concurrency limit, ensures the quality of data transmission, realizes the transformation from "local optimum" to "global optimum," and exhibits good adaptability.

The invention relates to the technical field of Internet of Things communication, in particular to an Internet of Things gateway multi-module communication method and device and a storage medium. The method comprises the steps of collecting multi-dimensional information, sorting transmission requests based on a hierarchical rule and generating a scheduling instruction, and performing dynamic matching of transmission resources and communication requirements; establishing a priority queue to distribute data in combination with a communication rule and scheduling information, tracking the progress in real time and finishing coding interaction of a target end; monitoring a multi-dimensional state to construct a matrix, and executing a hierarchical fault-tolerant strategy for channel abnormity, module faults and data loss; the device comprises a communication demand identification and scheduling module, a data distribution module and a communication state fault-tolerant module. Through the above mode, the suitability of the transmission protocol is improved, and the conditions of wrong data transmission and missed data transmission are avoided, so that the efficient and reliable communication requirement in a complex scene is met.

The invention relates to the technical field of lighting control, and discloses an intelligent dimming method for outdoor lighting based on the Internet of Things. The method comprises the following steps: establishing sensing data flow channels corresponding to a plurality of outdoor lighting devices at an Internet of Things gateway, and receiving an original environment sensing data cluster of a heterogeneous sensor network; decoupling the data cluster features, stripping an independent feature flow directly related to illumination adjustment and an environment background auxiliary feature flow, and generating a feature carrier with a life cycle mark for the independent feature flow; mapping the characteristic carrier to a target equipment node according to the equipment topological graph to form a dimming instruction precursor; consistency verification is embedded in a precursor distribution path, and the time sequence integrity of the independent feature flow is verified by using the auxiliary feature flow to generate a verification result; re-calibrating the life cycle mark according to a verification result, resolving conflicts by combining the real-time state of the topological graph, sorting, and synthesizing a final dimming instruction; and injecting an instruction into a sensing data flow channel to form a closed loop, and synchronously updating a topological graph node state record.

The application discloses a kind of blockchain-based Internet of Things platform systems and methods, including Internet of Things equipment access subsystem and Internet of Things platform subsystem;Internet of Things equipment access subsystem includes: Internet of Things equipment, Internet of Things gateway, private chain network and central server, Internet of Things equipment and central server interact through private chain, realize the permission management of Internet of Things equipment, the review of new node and the transmission of data information;Internet of Things platform subsystem is built using consortium chain, including: membership authentication module, blockchain application, endorsement node, consensus sorting module and accounting node;The system realizes the management of decentralization through consortium chain technology, compared with the Internet of Things platform of centralized architecture, with higher data security and reliability.Private chain compared with other blockchain resource occupation is less, time delay is small, thereby increase the universality of system, can be applicable to more Internet of Things scene.

This utility model relates to the field of Internet of Things (IoT) gateway technology and discloses an IoT gateway device, including a connector, a gateway shell slidably connected to the inner wall of the connector, a gateway body fixedly connected to the inner wall of the gateway shell, an antenna fixedly connected to the outer wall of the gateway body, a dustproof plate one and a dustproof plate two slidably connected to the inner wall of the gateway shell, and a heat dissipation assembly provided on the inner wall of the gateway shell. The heat dissipation assembly includes a cooling fan, a distribution plate, a heat-conducting plate, and heat sinks. The outer wall of the cooling fan is fixedly connected to the inner wall of the gateway shell, the outer wall of the distribution plate is fixedly connected to the inner wall of the gateway shell, and the upper surface of the heat-conducting plate is fixedly connected to the lower surface of the gateway body. In this utility model, the heat generated by the gateway body is conducted to the heat sink through the heat-conducting plate to expand the heat dissipation area. The cold air introduced by the cooling fan is filtered by the dustproof plate two and then guided to the left and right by the distribution plate to achieve uniform coverage of the heat dissipation components by the cold air.

The invention discloses a multi-protocol industrial Internet of Things gateway implementation method and system. The method is based on STM32F407ZGT6 and FreeRTOS to construct an architecture of'lightweight protocol stack container + configuration data mapping + secure transmission '. After being powered on, the system creates an independent task for each industrial protocol, and the protocol tasks write analyzed original data into a shared global data pool according to a unified offset table; a configuration analyzer reads a JSON / XML mapping table in the SPI-Flash and generates a rule chain table, a data mapping engine completes type conversion and linear scaling on source data in a preset period and then writes back to a target area, and automatic exchange between protocols is achieved; and the uplink transmission layer calls a built-in CRYP hardware module of the chip to carry out AES encryption on the MQTT load and then sends the encrypted MQTT load to the cloud platform through the Ethernet. The whole process is driven by a configuration file, new equipment can be expanded without modifying a source code, and the method has the advantages of low cost, high real-time performance, easiness in configuration, high safety and the like, and is suitable for industrial edge nodes.

The utility model discloses a portable Internet of Things gateway, which comprises a host, a plurality of networking interfaces arranged inside the front end of the host, an on-off key arranged on the right side of the plurality of networking interfaces, a power interface arranged on the right side of the on-off key, and a signal enhancement rod arranged at the left front corner of the upper end of the host. According to the utility model, a detachable signal enhancement rod structure is adopted, the signal enhancement rod can be combined into a whole or split into two independent units to be arranged according to the environment, and the signal enhancement rod can be flexibly split and combined according to the requirements; the gateway arrangement flexibility is improved, and the communication quality is ensured. The reinforcing rod can rotate to adjust the direction and can be completely accommodated in the host groove body, so that the device can be rapidly deployed to the optimal signal position, the portable transportation requirement can be met, and the environmental adaptability and the network distribution efficiency of the device are improved.

The utility model relates to the related technical field of the Internet of Things, in particular to a small industrial Internet of Things gateway which comprises a shell, a cover opening plate is attached to the surface of one side of the shell, and a module cover opening mechanism is arranged on the surface of one side of the cover opening plate. According to the small-sized industrial Internet of Things gateway, through the arrangement of the module uncovering mechanism, when the small-sized industrial Internet of Things gateway needs to be overhauled, the small-sized industrial Internet of Things gateway is overhauled through the structural design of parts such as an installation male part and an installation female part, a release connecting rod and a linkage plate, and a cooperation reset spring and a clamping block, compared with an existing device, the small-sized industrial Internet of Things gateway is convenient to maintain; according to the module uncovering mechanism, the uncovering plate and the shell can be stably connected, when maintenance is needed, the limiting and clamping state of the male installation part can be quickly relieved through simple rotating operation, the uncovering plate is smoothly opened, installation and reset can be conveniently achieved after maintenance is completed, and the maintenance efficiency is improved. The problems that an existing device is difficult to uncover and tedious in operation when being overhauled in equipment are solved, and the convenience and efficiency of equipment maintenance are greatly improved.

The application discloses a scene panel control method and device based on fingerprint identification and belongs to the field of Internet of Things control. In view of the problems of high cost and complex design of the existing scene panel in the prior art, the application provides a scene panel control method and device based on fingerprint identification, which performs fingerprint identification on a user, and otherwise, scene information is sent to a gateway according to a default scene; when the fingerprint identification is performed, the scene panel queries the fingerprint information from a database, and if the fingerprint information does not exist, no action is performed, and if the fingerprint information exists, scene information corresponding to the fingerprint is displayed on the scene panel; at this time, a key of the scene panel is pressed to send a trigger instruction, the trigger instruction sends the scene information corresponding to the fingerprint information to an Internet of Things gateway, and the Internet of Things gateway triggers a scene. The application can realize setting of multiple scenes at a lower cost, is simple to operate and has good stability.