167 results about "Wireless internet" patented technology

The invention belongs to the technical field of gas monitoring, and discloses a limited space gas monitoring method, system and device based on the Internet of Things and a medium, and the method comprises the steps: obtaining gas sensing data transmitted by a pre-constructed gas sensing node network through an optimal transmission path; performing gas concentration prediction on the gas sensing data by using a long short-term memory neural network and a random forest algorithm, comparing a prediction result with a preset early warning threshold value, and triggering an alarm of a corresponding level; and determining a prediction error based on a prediction result, dynamically optimizing an early warning threshold based on the prediction error, and continuously optimizing the plan through a closed-loop feedback mechanism. By introducing the gas monitoring sensor, the wireless Internet of Things ad hoc network technology, the edge computing and the cloud collaborative architecture, the toxic gas real-time monitoring with high sensitivity, low power consumption, flexible deployment and intelligent analysis is realized.

The invention discloses a flexible charging pile charging system, device and method based on situation awareness and interaction control, and relates to the technical field of flexible charging piles, the flexible charging pile charging system comprises a processing module, a sensing module, a control module, a communication module, a power supply module, a monitoring protection module and a remote module; the processing module is used for carrying out edge calculation processing operation and self-adaptive power calculation when a plurality of electric vehicles are charged at the same time; the sensing module monitors each parameter of the charging system; the control module performs power control operation on the charging system; the communication module performs data exchange by using a line carrier and an interface protocol; the power supply module provides an alternating current power supply; the monitoring protection module monitors the charging system in real time; the remote module is connected with the Internet of Things platform through a wireless Internet of Things communication interface and a protocol; through mutual cooperation of all the modules, the system can operate on an existing single-phase or three-phase power line, and the purpose of charging multiple electric vehicles at the same time is achieved.

The invention discloses a fire-fighting pipe network pressure dynamic monitoring method and system combined with the Internet of Things and a medium, and relates to the technical field related to pressure monitoring, and the method comprises the steps: deploying a pressure sensor and an auxiliary sensor at a fire-fighting pipe network monitoring node, and building a topology sensing structure through wireless Internet of Things communication; carrying out adaptive sampling adjustment and then establishing a node sampling data set; transmitting the data to a multi-time window pressure evolution model to execute sliding differential analysis, and calculating an abnormal trend index; configuring a neighborhood broadcast request and performing broadcast consistency verification; abnormal trend index enhancement correction is carried out, and group resonance detection is carried out to establish linkage cooperative early warning; and a fire-fighting pipe network pressure abnormity early warning signal is reported. The technical problems that in the prior art, dynamic abnormal data of the fire-fighting pipe network are difficult to sense in real time, cooperation is lacked, response lags, and pressure monitoring accuracy and reliability are poor are solved, and the technical effects that real-time and accurate dynamic monitoring is achieved, and the pressure monitoring accuracy and reliability of the fire-fighting pipe network are improved are achieved.

Methods and apparatus are described for automatically discriminating authentic wireless Internet-of-Things (IoT) devices using a trained machine-learning module. In a training phase, the machine-learning module is trained to identify authentic IoT devices based on data in frame headers of wireless data emitted by the IoT devices. The trained machine-learning module may identify authentic IoT devices without analysing data from the payload of the frames to which the frames headers belong, and thus the privacy of data in the payload of the frame is not compromised and encryption of the payload data does not adversely affect performance of the trained machine-learning module in a subsequent production phase. Each training data sample may consist of header data from a sequence of successive frames of wireless data from authentic wireless IoT devices and, to enhance accuracy, may exclude address data.

A system and a method of operating an anti-fraud, AML and ATF system, through the use of adapted wireless internet devices, using a "selfie" or a picture of the head / face of a user. The system of an example of the invention for operating in an anti-fraud, AML and ATF systems uses set of different methods to generate a unique correct / optimise Encoding Data of the given picture; The set of applied methods are in charge of automating the optimisation of the generated Encoding, improving the authentication system for certain anti-fraud, anti- money laundering (AML) or anti-terrorist financing (ATF) aspects through the use of fixed or wireless devices or portable computers or desktop computers, with at least one built in camera and application software in the device as per examples of this invention, such devices adapted as per examples of this invention, whereas the system server is adapted to include a local processing unit and / or a remote server processing unit adapted as per examples of this invention.

The invention discloses a dynamic scheduling method for node energy load balance in a wireless internet of things. The method comprises the following steps: S1, collecting energy state information of each node; s2, energy information is analyzed, a correlation model of network topology and node energy states is established, and key nodes and communication links are identified; s3, in combination with a topological phase change theory and an inverse game learning algorithm, predicting topological change, and generating a node task allocation and energy consumption strategy; s4, constructing a dynamic scheduling model, and adjusting task distribution in real time; s5, optimizing node scheduling by applying an anti-entropy driving algorithm; s6, executing a dynamic scheduling strategy, and adjusting a communication path and task distribution; s7, monitoring a scheduling execution condition, and optimizing a strategy; and S8, generating an energy load balance optimization report, and continuously optimizing the network. According to the invention, the problems of shortened network life and reduced reliability caused by unbalanced energy consumption and dynamic environment change in the prior art are effectively solved, and the overall performance and stability of the wireless Internet of Things system are remarkably improved.

A method, system, and apparatus, including a program encoded on computer-readable medium, for transmitting data to a server. A wireless communication connection is established between a first computing device and a second computing device. Data transmitted from the first computing device to the second computing device is received over the wireless communication connection and stored on the second computing device for uploading to a server on an IP based network. The wireless communication connection is disconnected. An IP communication connection is established between the second computing device and the server on the IP based network, and at least a portion of the stored data is transmitted from the second computing device to the server on the IP based network over the IP communication connection after the wireless communication connection between the first computing device and the second computing device is disconnected.

The present invention is applicable to the technical field of Internet of Things communications, and relates to a wireless Internet of Things asynchronous frequency-hopping networking communication method, comprising the following steps: S10, network-wide channel and time slot planning; S20, network negotiation; S30, network access of first-level child nodes; S40, network access of second-level child nodes and multi-level child nodes; and S50, network maintenance and service packet transmission. The present invention is simple in process and convenient to operate, network configuration information is published by means of signaling channels, which can achieve efficient networking, child nodes respectively perform frequency-hopping communication according to different frequency-hopping sequences, multiple groups of child nodes in a network can perform message transmission in different channels at the same time, and the channel utilization rate is effectively improved by means of a network-wide node asynchronous frequency hopping method.

A wireless Internet of Things (IoT) device for detecting light exposure is provided. The IoT device includes a light sensor having an organic active layer that detects an intensity of light; an integrated circuit (IC), wherein the integrated circuit includes an oscillating circuit that is coupled to the light sensor to output a frequency value for the detected intensity of light; and at least one harvesting antenna that harvests an ambient radio frequency (RF).

The invention discloses a household photovoltaic data acquisition method and device based on a wireless Internet of Things, and the method comprises the steps: collecting a group cascade current and voltage curve and ambient light intensity data in real time at a photovoltaic array edge node, and extracting a shadow-shielded spatio-temporal evolution feature vector through a spatio-temporal convolutional neural network; inputting the spatio-temporal evolution feature vector into a power compensation decision model to obtain a cross-string power dynamic compensation scheme including a compensation current value of a shielded string and a maximum output power regulation quantity of an adjacent unshielded string; and according to a dynamic power compensation scheme, working points of MPPT controllers of adjacent photovoltaic strings are synchronously adjusted through a Mesh network between edge nodes, so that the power loss of the shielded strings is compensated by the unshielded strings in real time. A shadow evolution rule is analyzed in real time through a space-time convolutional neural network, and a cross-string power dynamic compensation mechanism and Mesh network cooperative control are combined, so that high-precision prediction and minute-level dynamic compensation of shielding loss are realized.

A door operating system includes a door opening mechanism and a user controller including a first receiver configured to receive an RF signal and a second receiver configured to receive an internet signal. The user controller is in communication with the door opening mechanism and includes an RF transmitter capable of transmitting the RF signal to the door opening mechanism and a wireless internet transmitter capable of transmitting the internet signal to the door opening mechanism. The user controller includes a user interface including at least one user input element and is in operable communication with the door opening mechanism and the user controller. The control system is configured to generate and exchange a key during an initial pairing, receive an input from the user controller to open or close a door, and determine if the RF signal from the RF transmitter will be received by the door opening mechanism.

The invention discloses a self-adaptive power control method for energy transmission in a heterogeneous wireless internet of things, which comprises the following steps of: S1, acquiring network parameters and equipment state information, and acquiring an equipment position, communication link quality, a network load and the like; s2, according to the information, preliminarily calculating the transmission power demand of each device, and generating a power distribution scheme; s3, optimizing energy transmission by adjusting the transmission power of each device in real time; s4, coordinating power distribution among the equipment by adopting a cooperative game algorithm, and realizing equipment cooperation under the condition of limited energy resources; s5, on the basis of a Bayesian reasoning prediction algorithm, estimating network condition changes in advance, and adjusting a power distribution scheme in real time; s6, continuously monitoring the power control effect of the equipment, and optimizing the strategy based on the monitoring data; and S7, regularly updating the power control parameters. According to the invention, through combination of adaptive power adjustment and a prediction mechanism, the efficiency and stability of energy transmission in the wireless Internet of Things are improved.

The invention discloses a wireless Internet of Things energy transmission security management method based on a block chain, and the method comprises the following steps: S1, collecting, encrypting and storing energy state information in real time through deploying equipment with an energy monitoring function; s2, dynamically adjusting an energy transmission strategy by using a distributed elastic energy management algorithm, and determining an optimal transmission path; s3, evaluating a network state in a transmission process, and dynamically adjusting a transmission path and a priority; s4, verifying the path and the data by using a fuzzy adaptive double-layer consensus algorithm; s5, submitting the preliminary consensus result to a global consensus layer for verification and recording; s6, after transmission is completed, the energy state is updated and shared through a block chain; and S7, continuously optimizing the transmission path to cope with the network environment change. According to the invention, the problem of insufficient security management in energy transmission of the existing wireless Internet of Things is effectively solved, and the overall security, transparency and efficiency of the system are significantly improved.

The invention discloses an electromechanical equipment wireless Internet of Things control system and method based on multi-protocol adaptive conversion, and relates to the technical field of Internet of Things. Universal features, protocol features and interference evaluation indexes related to interference are extracted, a LightGBM model with the universal features and the protocol features as input and an interference evaluation index weighted value as output is constructed, and a neural network prediction model with important features as input and the interference evaluation indexes as output is constructed. An interference adjustment strategy and a corresponding adjustment rule are defined, an optimal interference adjustment strategy used for adjusting parameters of the wireless communication system is selected according to a judgment result of whether an interference prediction result triggers the adjustment rule, and a deep learning model is utilized to analyze and predict a complex dynamic industrial environment. Optimized communication parameters are optimized in real time, so that the adaptive capacity of anti-interference measures in a dynamic environment is improved, and the high-stability production requirement for communication in industrial production is met.

1. The name of the design product: touch screen development board (ESP32-C6 1.43-inch AMOLED). 2. The use of the design product: learning and secondary development of integrated, touch screen-mounted wireless Internet of Things or smart control application development board. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses a wireless Internet of Things control channel communication method, system and device and a medium, and belongs to the technical field of channel communication. A set of complete basic framework of a multi-modal control channel resource scheduling model is constructed through multi-modal channel identification, sub-domain division, conflict index definition and delay threshold definition, and spatial partition management of channel resources is realized; the real-time performance and the reliability of the control task can be ensured by defining the task delay requirement; by combining short-distance self-adaptive backoff and wide-area pre-authorization resources, conflict delay can be reduced, resource competition can be avoided, and meanwhile average delay of cross-domain commands can be effectively reduced; all steps are progressive layer by layer from framework design to command mapping and then to a forwarding process, full-process optimization of cross-domain command resource adaptation, routing decision and link transmission is realized, a designed short-distance sub-domain self-adaptive backoff control mechanism and a wide-area sub-domain pre-authorization resource pool are fully reused, and the feasibility and the high efficiency of a protocol are ensured.

This disclosure relates to the provision of cryptographic services to web browsers, and more specifically, to systems and methods for providing cryptographic results to a browser from a cryptographic device over a persistent peer-to-peer connection. A method for obtaining cryptographic services for a browser executing a webpage comprising the steps of establishing a persistent peer-to-peer connection over a wireless Internet Protocol communication network between the browser and a cryptographic device, in response to receiving user input to the webpage, transmitting, by the browser, data indicated by the user input over the persistent peer-to-peer connection to the cryptographic device, for cryptographic processing of the data by the cryptographic device using a cryptographic key stored on the cryptographic device to produce a cryptographic result, and receiving, by the browser, the cryptographic result over the persistent peer-to-peer connection from the cryptographic device, and providing the cryptographic result to the webpage.

The present invention belongs to the field of electric communication and relates to a smart manhole cover with highly reliable wireless communication, which includes a sensor unit, a communication unit, and a control and scheduling unit. The communication unit includes a metropolitan area network communication module and a private communication protocol module. When the metropolitan area network communication module of the smart manhole cover cannot access the metropolitan area network, or when it detects a self-organizing network request from surrounding Internet of Things devices, the private communication protocol module is activated. The private communication protocol module adopts a connectionless mode, which can increase the communication distance and reduce the communication cost. The communication network topology mode is that one wireless Internet of Things device corresponds to n data gateways. Even when most of the data gateways are damaged, it will not affect the transmission of emergency and alarm information, and can effectively improve the reliability of Internet of Things data transmission in an emergency state. The communication unit adopted by the present invention only needs to have a metropolitan area network communication module and a private communication protocol module at the same time, which can not only control the cost but also improve the reliability of data communication.

The disclosure relates to a 5th generation (5G) or 6th generation (6G) communication system for supporting a higher data transmission rate. A device in a wireless communication system, which is a software defined (SD)-wide area network (WAN) edge device, is provided. The device includes at least one transceiver and at least one processor, wherein the at least one processor is configured to generate a plurality of wireless internet protocol (IP) links between the SD-WAN edge and an SD-WAN gateway (GW), and select at least one wireless IP link from among the plurality of wireless IP links on the basis of a policy and wireless quality, wherein the wireless quality includes information on a packet loss of each of the plurality of wireless IP links and information on a throughput (Tput) of each of the plurality of wireless IP links.

A method and system for managing the performance of a router configured to provide internet communications over a first communication protocol (e.g. a wireless internet communication protocol such as

The remote operation and maintenance platform comprises an equipment layer, a cloud platform, a platform layer and an application layer, the equipment layer comprises thousand-square-level hydrogen production equipment, and a sensor for monitoring equipment operation and a PLC for controlling equipment operation are installed in the thousand-square-level hydrogen production equipment; the cloud platform is provided with a public cloud or a private cloud, the platform layer is provided with a private cloud server or a local server, the application layer is provided with a local display terminal and a mobile display terminal, both the cloud platform and the platform layer are deployed with Web configuration software, and the equipment layer, the cloud platform and the platform layer are communicated through a wireless internet of things. The cloud platform is communicated with the local display terminal and the mobile display terminal through the wireless Internet of Things, the platform layer is communicated with the local display terminal through a wired private network, the PLC collects data signals transmitted by the sensor and transmits the data signals to the cloud platform and the platform layer, and the platform layer restores the field of the thousand-party-level hydrogen production and water electrolysis hydrogen production system in a mirroring mode.

The utility model discloses a gateway device for wireless Internet of Things operation of an ocean fishing vessel. Comprising a box body, a shipborne power supply input unit, an LED power supply switch unit, an RS485 serial unit, a communication unit, a control unit, a battery unit and a water-proof and salt-fog-proof unit, wherein the shipborne power supply input unit can receive 220V alternating current voltage and supply power to a fishing boat generator; the LED power supply switch unit can bear power supply input of a fish gathering lamp; the RS485 serial unit supports an RS485 serial port; the shipborne power supply input unit is electrically connected with the LED power supply switch unit; through the cooperation of the shipborne power supply input unit, the LED power supply switch unit, the communication unit, the control unit and the battery unit, the gateway device has the characteristic of wireless communication, the gateway device is installed on each fish gathering lamp, the fish gathering lamps can be effectively grouped and segmented and quickly lighted, the use amount of wires is reduced, the installation is convenient, and the cost is low. The instant pumping and unloading load of the fishing boat generator is reduced, and the purpose of light operation of the fishing boat is achieved.

A system for connecting a device to a front portion of a motor vehicle includes at least a first mounting bracket. The first mounting bracket is configured to connect to a first mounting surface of a first chassis surface or a secondary component of the motor vehicle. The device is selected from: a bumper bar, a license plate holder, a D-ring, a light bar, a bumper mount, a recovery hook, a light pod, a hitch receiver, a flag mount, a camera mount, a fishing rod holder, a bicycle holder, a step, a cargo box, a tie-down point, an oil can, a spare tire mount, a winch, a wireless internet transmitter, a solar panel, a light pole, a pet container anchor, a shelter canopy, an umbrella stand, a table, a hammock, a seating device, a sink device, a grill, a pair of pliers, a shower module, or a toilet module, and combinations thereof.

The invention discloses a self-monitoring wireless Internet of Things electric energy meter, comprising an electric energy meter body, an upper shell, a lower shell and an anti-theft component, wherein the electric energy meter body is installed in the frame of the lower shell, the upper shell cover is arranged outside the frame and abuts against the lower shell, several groups of anti-theft components are rotatably arranged on the frame of the upper shell and the lower shell for fixing the upper shell and the lower shell, and a locking structure matched with the anti-theft component is also arranged on the frame of the lower shell, and the abutting truncated table of the locking structure abuts against two card plates of the anti-theft component, so that the card plates are separated to both sides and are clamped into the limiting grooves on the corresponding sides of the screws in the anti-theft component to realize the locking of the screws and the slide rod inserted into the screws. The invention has excellent anti-theft performance and can prevent electricity theft.

The invention relates to the technical field of monitoring of pump systems. The invention discloses a wireless internet-of-things information acquisition system for a tower type pumping unit. The wireless internet-of-things information acquisition system comprises a motor test module, a transmission shaft test module, a speed reduction roller test module, a guide bracket test module and a wireless signal acquisition device. According to the invention, a complete sensing network covering a power source-transmission chain-bearing structure is established by integrating four testing modules including a motor, a transmission shaft, a speed reduction roller and a guide bracket; according to the structural characteristics of the tower type pumping unit, strain gauges are deployed in a high-stress area at the root of a guide support to monitor micro-strain changes, and an eddy current sensor and a dynamic torque sensor are adopted at key nodes of a transmission shaft to cooperatively monitor low-frequency bending and high-frequency torsional vibration coupling characteristics; a performance degradation model is conveniently established through long-term data accumulation, and transformation from post maintenance to predictive maintenance is realized in combination with a threshold early warning and trend prediction algorithm.

A wireless device comprises a front end and a processor coupled to the front end. The processor initiates an association between the wireless device and a wireless anchor device via the front end, enabling communication with the anchor device. The processor also causes the front end to transmit management frames, comprising a multitude of bits that specify physical layer capabilities (PHY capabilities), to the wireless anchor device. This multitude of bits includes a specific bit that indicates whether the wireless device is an Internet of Things (IoT) device.

A system is provided.SOLUTION: A system comprising: means for obtaining location information of a user when the user connects to a wireless internet spot; means for selecting relevant information based on the obtained location information; and means for notifying a messaging application of the user of the selected information.SELECTED DRAWING: Figure 1

The invention discloses an intelligent management system for supplying and recycling cutters and tools, which comprises an intelligent host, at least one cutter cabinet and at least one tool cabinet which are electrically connected with each other, and the intelligent host is provided with a scanning and distinguishing device, a touch display input device and a wired / wireless internet connection line, the intelligent host is provided with a material picking program module, a return program module, an old-to-new module, a replenishment program module, a push early warning notification module and a data analysis and report generation module, after an employee distinguishes and confirms, material picking and return or replacement of an old knife / tool with a new knife / tool can be carried out, a manufacturer can scan a bar code of the knife / tool according to replenishment, replenishment can be carried out immediately, and the replenishment efficiency is improved. In addition, the manufacturer can also receive the push early warning notice to carry out machine maintenance or cutter / tool replenishment, and the manager receives data analysis and report generation so as to understand the use condition of the related cutter / tool, so that the omnibearing cutter / tool management and control effect is achieved.

The present invention relates to a stock and coin operation management system in which, by means of an online / offline wired / wireless Internet network, when a stock and coin investment member information device and a stock and coin exchange member information device are used during stock and coin transactions to entrust stock and coin transactions to a stock and coin service provider content server, a stock and coin investment-dedicated benevolent generative AI, linking a nanosecond (ns) unit investment speed technology and a nanosecond (ns) unit investment recovery speed technology, autonomously performs stock and coin transactions through a first-stage to tenth-stage learning module for machine learning, and learns and performs a function of enabling a stock and coin investment member and a stock and coin exchange member to achieve only investment profits without investment loss.

The present invention provides a vehicle infotainment device combined with a black box, wherein an OS is operated in a sleep mode in which the operation of a camera is in a standby mode while power of a battery is maintained, and when a signal indicating that a vehicle has been started is received, the sleep mode is released and the OS is activated to connect to a vehicle AVN. The present invention comprises: a body (1010) having a predetermined shape; a power connection unit (1020) which is located on the outer surface of the body (1010) and receives power of a vehicle; an AVN connection unit (1030) for connecting to a vehicle AVN by wire or wirelessly; a wireless communication unit (1040); a storage unit (1050) in which various types of information are stored; a battery (1060) which is charged by receiving power of the vehicle through the power connection unit (1020); an OS driving unit (1070) which manages the OS to be maintained while power of the battery (1060) is maintained; a vehicle start management unit (1080) which checks whether the vehicle has been started or stopped; a power supply check unit (1090) which checks whether power is supplied from the vehicle; a black box management unit (1100) which receives and stores video captured by a camera; and a sleep mode management unit (1110) which, when the vehicle is stopped, stops running applications and disconnects a wireless internet network and causes the black box management unit (1100) to enter a standby state.