30 results about "LPWAN" patented technology

The invention discloses an Internet of Things flowmeter data compression sensing transmission optimization method and system, particularly relates to the field of low-power-consumption wireless communication networks, and is used for solving the problem of compressed sensing signal distortion caused by sampling time sequence misalignment in an LPWAN bandwidth limited environment. Constructing a local phase reference by extracting a pipeline vibration fundamental frequency component, and receiving a cloud synchronization reference timestamp alignment signal; fundamental frequency and third harmonic components are separated to calculate arrival time difference, and a phase-locked loop is triggered to dynamically adjust the phase of a sampling clock based on a pipeline material threshold value; after the stability of the zero crossing point time variance is verified, compressed sensing sampling is performed on the flow signal by adopting a phase synchronous clock, and an optimized compressed measurement value is generated and transmitted to the cloud through the LPWAN; through closed-loop cooperation of physical characteristics and a communication clock, complete capture of a signal sparse structure is guaranteed under a low-bandwidth condition, and cloud reconstruction precision is significantly improved.

The invention discloses a municipal public engineering underground pipe network intelligent monitoring and early warning system based on the Internet of Things, which aims at solving the problems of unstable data transmission, inaccurate fault prediction and the like of the existing system and is composed of a sensing layer, a transmission layer, an edge intelligent layer and a cloud control center layer. The sensing layer acquires multi-source data by multiple types of sensors, and the transmission layer adopts an LPWAN and OPLC hybrid communication architecture to guarantee data transmission; the edge intelligent layer analyzes data in real time by using a deep learning model, and the cloud control center layer realizes accurate early warning through big data and the model. In addition, the system has the functions of intelligent power supply, AR / VR visualization, multi-layer safety protection and self-diagnosis and self-healing. Through practical verification, the system effectively reduces the accident rate of the pipe network, greatly improves the operation and maintenance efficiency, effectively guarantees the safe and stable operation of the pipe network, and improves the municipal management level.

The utility model belongs to the field of communication devices, and particularly relates to a distributed photovoltaic local communication device. The system comprises a distributed photovoltaic system and a local communication device, the distributed photovoltaic system comprises a photovoltaic assembly, an inverter connected with the photovoltaic assembly, a transformer connected with the inverter and a data collector, and the local communication device comprises a master control module and a communication module. The main control module comprises a data input module connected with the data collector, an address distribution module connected with the data input module and a data storage module connected with the address distribution module, and the communication module comprises a signal converter connected with the data storage module and a power divider connected with the signal converter. The first signal coupler and the second signal coupler are connected with the power divider, and the LPWAN radio frequency module is connected with the first signal coupler and the second signal coupler.

The invention provides an energy efficiency optimization algorithm for a low-power wide area network (LPWAN), and aims to reduce the energy consumption of LPWAN equipment in a data transmission process and prolong the service life through adaptive data rate adjustment and a micro machine learning (TinyML) technology. The algorithm core comprises a self-adaptive data rate adjustment mechanism, and the transmission rate is dynamically adjusted according to the real-time link quality index and the signal strength. A TinyML model is integrated for local data processing and intelligent decision making, and the data uploading amount is reduced; according to the intelligent dormancy awakening strategy, energy consumption use of equipment is predicted and optimized according to an equipment use mode; and a multi-parameter optimization scheduling algorithm is adopted, and signal quality, equipment electric quantity and environmental factors are integrated for scheduling. In addition, the security of data transmission and user privacy protection are also considered, and a lightweight encryption technology is adopted. The practical application test in various LPWAN technologies verifies the effectiveness of the algorithm, realizes the obvious reduction of energy consumption and the prolonging of the service life of equipment, and has high expandability and adaptability.

The application discloses a positioning method based on asynchronous TDOA and double-antenna base stations, which obtains the time difference of arrival (TDOA) of a ranging signal sent by a target node to reach two antennas on a base station, and then obtains a distance difference, so as to calculate the position coordinates of the target node. The method uses three double-antenna base stations, the length of the antennas can be adjusted according to needs, and the lengths of the two antenna feeders of the same base station are equal. When deployed, the antenna feeders of the three double-antenna base stations are parallel to the xyz coordinate axes. The method uses asynchronous base stations, and greatly reduces the implementation complexity and cost of the system. When solving the position coordinates of the target node, a unique solution can be obtained according to the geometric characteristics of the model and the spatial constraint conditions of the three distance differences. A large number of simulations and tests show that the method can achieve high positioning accuracy within the communication coverage range, and has broad application prospects in low-power wide-area networks (LPWAN).

Systems and methods for managing smart devices associated with a multi-family residential property are disclosed. Control or management of smart devices may be provided by a smart thermostat hub that includes one or more processors and a memory coupled to the one or more processors. The smart thermostat hub also includes a first communication interface configured to communicatively couple the smart thermostat hub to a low-power, wide area network (LPWAN) communication link and a second communication interface configured to communicatively couple the smart thermostat hub to a wireless network via a wireless communication link. The wireless network is communicatively coupled to a set of one or more smart devices. The one or more processors are configured to initialize a connection between the second communication interface and the property management platform via the second communication interface.

An implantable medical device, IMD, for patient monitoring or treatment that collects clinical data for upload to a remote data center. The IMD is equipped with a first wireless transceiver configured to operate according to a wireless personal area network, WPAN, communications protocol to transmit the clinical data using a first data communication path and a second wireless transceiver configured to operate according to a low-power wide-area network, LPWAN, communications protocol to transmit the clinical data using a second data communication path. The IMD is provided with computing resource to decide when and with which of the first and second wireless transceivers clinical data collected by the IMD is transmitted.

A next-generation emergency communication system based on a wireless sensor network (WSN) uses a mesh-based low-power wide-area network (LPWAN). The WSN includes sensor nodes for monitoring environmental and infrastructure conditions, messaging nodes for enabling peer-to-peer messaging with mobile devices via short-range communication interfaces, and hybrid nodes with both sensing and messaging capabilities. Gateways and data transmission units (DTUs) enable connectivity to external networks, maintaining operation even during mobile network failures. The system operates in a static monitoring mode during normal conditions and switches to a trigger messaging mode during emergencies, allowing the WSN to function as an emergency communication network. The WSN enables community members and emergency personnel to communicate during hazard events without relying on cellular networks, supporting multi-layer communication across local, cross-community, and global scales.

A communication gateway for connecting an LPWAN network to a network for access to a cellular or RAN network, the LPWAN network and the RAN network using radio links. Such a gateway typically allows connected objects and servers on the Internet to communicate according to the Internet of Things (IoT) architecture. However, the proximity of the frequency bands used for the two radio links may lead to mutual interference between them, the transmitter of one interfering with the receiver of the other, especially when the gateway is miniature, of the order of magnitude of the connected objects (approximately 10 cm). The disclosed gateway electromagnetically isolates the two RF channels by means of double filtering: by a bandpass filter on the LPWAN RF channel combined with a rejection filter on the cellular RF channel.

This disclosure relates to an automatic meter reading system (ARS) (1) for determining values ​​at multiple distributed installation locations and transmitting data containing said values ​​to a front-end system (HES) (3) via a low-power wide area network (LPWAN). The ARS (1) includes: an HES (3); multiple battery-powered fixed measuring devices (7), each measuring device (7) configured to be installed at one of the multiple installation locations and to determine said value at said one installation location, wherein each measuring device (7) includes an LPWAN connection module configured to establish a wireless communication connection to an LPWAN for transmitting data containing said value to the HES (3) via the LPWAN; and a mobile installation device (13) including a short... A short-range connection module is configured to establish a short-range wireless communication connection (15) to one of a plurality of measurement devices (7) to be installed at one of a plurality of installation locations. The short-range connection module is configured to send LPWAN connection candidate information to one of the plurality of measurement devices (7) to be installed at one of the plurality of installation locations via the short-range wireless communication (15). The LPWAN connection module of the one of the plurality of measurement devices (7) is configured to attempt to establish an LPWAN handshake connection at the one of the plurality of installation locations for the first time based on the received LPWAN connection candidate information.

A novel LPWAN system and method of operating such a system is disclosed. The network deploys a plurality of endpoints communicating with at least one radio. Each radio in the system communicates, in turn, with a single basestation. The single basestation enables simplified network management (e.g. —endpoint admission, etc.) and basestation maintenance (e.g. —software updates, etc.) and reduces network deployment costs, as the single basestation device serves multiple radios over multiple coverage areas. The single basestation can be a software network core executed on a service device / server, such as a cloud SaaS service, allowing the computational capacity of the basestation to be scaled, as necessary, to service the network. The single basestation can also execute network cores for two or more network standards By having multiple radios provide their received signals to the single basestation, signal processing algorithms which can process multiple received versions of a signal to enhance the signal's effective SNR can also be employed.

A communication component comprises a first wireless interface that receives data from a device, that may be a utility meter, using a first communication protocol that may be Meter-BUS and a second wireless interface that transmits data to a non-terrestrial network (NTN) using a second communication protocol that may be cellular, NB-IoT, LTE, or LPWAN. The communication component forms part of or is attached to a part of the subterranean housing for the device which may be transparent to network frequency. The second wireless interface may also be configured to selectively transmit data to both NTN and terrestrial network and may store the data if no network is available. The stored data may be transmitted as last in first out (LIFO) when a network becomes available. The communication component may employ NFC to interrogate devices before storing identifiers and may bind identifiers to devices. The antenna for the first wireless interface may be moulded onto the cover of the subterranean housing.

The invention discloses an intelligent work card based on a low-power wide area network (LPWAN). The intelligent work card comprises a micro-control unit, an LPWAN communication module, an electronic ink screen, an RFID module, a voice interaction module, a positioning module and a safety module. The communication module adopts a domestic WIOTa protocol to realize large-capacity, wide-coverage and low-power-consumption communication; the electronic ink screen is used for dynamically displaying user information; the RFID module is used for artificial awakening and auxiliary identification; the voice interaction module supports voice short message receiving and sending; the positioning module provides real-time position information; and the security module guarantees the data security through encryption and anti-counterfeiting technologies. The system is intelligent, low in power consumption and high in safety, and is suitable for scenes of attendance access control, personnel positioning, authority control and the like.

An automatic reading system (ARS—1) determines values at a plurality of distributed installation locations and communicates data containing said values via a low power wide area Network (LPWAN) to a head-end-system (HES—3). The ARS includes the HES and battery-powered stationary measuring devices (7), configured to be installed at an installation location and to determine said values at the installation location. The measuring devices include an LPWAN connection module to establish a wireless values communication connection via the LPWAN to the HES. A mobile installation device (13) includes a short-range connection module establishing a communication connection (15) and sending candidate information to measuring devices about to be installed at the installation location. The LPWAN connection module attempts to establish for the first time at the one of the installation locations a handshaked LPWAN connection to the LPWAN based on the received LPWAN connection candidate information.

The invention relates to a temperature control device (10) for wind instruments, comprising an inner element (40) for positioning a wind instrument, and a base element (20) and a stop element (30), wherein at least one heating element (50) is provided on or in the inner element (40), which is configured to deliver a predefinable quantity of heat energy to a wind instrument, preferably along the entire length of the inner element (50), with respect to a predefinable time period and / or a predefinable time and / or with respect to the extension of a wind instrument, wherein the temperature control device (10) has a control unit (71) for controlling the quantity of heat supplied and / or the surface temperature of the heating element (50), which is connected to the at least one temperature sensor (70).and wherein the temperature control device includes a communication module and is configured for wireless communication, at least in the short range and preferably also with the internet, e.g. via Bluetooth and / or Sigfox or LPWAN. This facilitates switching between different types of wind instruments / clarinets, especially during a concert, and also improves heat management when using only one wind instrument.

An ATM includes a long range WAN module that provides the ATM with a low power WAN (LPWAN) capability for increased resiliency. The ATM and bank application servers generally communicate over an ATM communications network to allow customers to perform banking transactions. When this connection is not functioning, the ATM may continue to be used to perform banking transactions, without interruption, by communicating over a LoRaWAN network with another nearby LPWAN-enabled ATM that is in communication with the bank application servers. The LoRaWAN network may also be used to automatically obtain software to fix an error at the ATM when the software is obtainable via a nearby LPWAN-enabled ATM. The LoRaWAN module may be further used to record a state of operations at the ATM and to use the record to resume the transaction where the transaction was interrupted while in progress due to an ATM outage.

The present invention discloses smart IoT end devices (500,502,503, etc.) system (100) supervised by a smart gateway device (400) at a secure site and secure methods of operating the system. An AI module (204), connected to a server (200) in the system (100), polls a quality of service of a low-power wide-area network (LPWAN) (300), the smart gateway, the smart IoT devices communication links (200,LR,SR), cellular (10,20) and any available network (including an IoT (302) at the secure site) and selects an optimal security level of operation according to any one of access scenarios A-E; access scenario A is endowed with the highest security level, whilst access scenario E is for off-line emergency operation. In all scenarios of operations, the gateway (400) and the smart IoT devices (500) are monitored at the server (200) ensuring 24-hours 7-days a week supervision.

This application provides a complete solution for integrating Bluetooth Low Energy (BLE) and eSIM systems in hardware devices. It includes a BLE eSIM module (BLE and eSIM integration, main control circuit design, and circuit software program), Bluetooth protocol, host computer program, and SDK encapsulation. The device communicates with the eSIM via a host computer network and program. It connects to a DP+ server using the SGP.22 protocol to read, write, and activate operator profile files. The device system switches communication modules with the eSIM through the main control, achieving network connectivity for the terminal device. Furthermore, this system integration solution also supports the SGP.32 protocol specification, remote management of the eSIM server, and distribution of operator profile configurations without requiring manual on-site operation. This solution is applicable to a wide range of network-enabled terminal devices and is a universal, complete hardware and software solution. It solves the problem of cumbersome integration of communication modules for different network device models, reduces terminal device requirements, lowers technical costs and deployment complexity, and improves the efficiency of eSIM reading, writing, downloading, and activation, making it suitable for resource-constrained scenarios such as IoT and LPWAN.

The invention discloses a low-power-consumption portable noise monitoring device, and relates to the technical field of environment monitoring. Comprising a main control module, a noise sensing module, a communication module, a power management module and an alarm module which are highly integrated in a compact shell. An event-driven asynchronous working mechanism and a one-master multi-slave power supply design are adopted, and ultra-low power consumption is realized through a special low-power-consumption function and a redundant hardware closing strategy; the noise sensing module adopts a software and hardware collaborative dynamic gain adjustment scheme and is combined with a professional audio ADC chip and software control to ensure wide-range and high-precision measurement; the communication module adopts an LPWAN technology and supports a deep power saving mode; the device is awakened through RTC timing or noise signal triggering, Leq calculation and data uploading are rapidly completed, and then the device returns to sleep. The system is small in size and flexible in deployment, the sleep current is as low as 45 [mu] A or below, noise data can be monitored and reported in real time, and the real-time performance, accuracy and emergency response capability of noise monitoring are improved.

An ATM includes a long range WAN module that provides the ATM with a low power WAN (LPWAN) capability for increased resiliency. The ATM and bank application servers generally communicate over an ATM communications network to allow customers to perform banking transactions. When this connection is not functioning, the ATM may continue to be used to perform banking transactions, without interruption, by communicating over a LoRaWAN network with another nearby LPWAN-enabled ATM that is in communication with the bank application servers. The LoRaWAN network may also be used to automatically obtain software to fix an error at the ATM when the software is obtainable via a nearby LPWAN-enabled ATM. The LoRaWAN module may be further used to record a state of operations at the ATM and to use the record to resume the transaction where the transaction was interrupted while in progress due to an ATM outage.

The invention relates to the fields of radio telecommunication and software, and more particularly to Internet of Things systems. The technical result consists in: a large area of coverage provided using new standards for terrestrial communication between terminals of the LoRa / LPWAN-type and other NB-IoT satellite communication standards; compactness relative to existing terminals; reduced installation, operation and maintenance costs; and improved data security and confidentiality. In the claimed Internet of Very important Things (IoVIT) system comprising user equipment, a remote terminal with a remote terminal system antenna, a geostationary communication satellite or, if necessary, a group of non-geostationary communication satellites, a data processing centre and an Internet-based user interface, what is novel is that the system includes a gateway station containing a gateway station antenna system and IoT gateway equipment, a geostationary communication satellite is additionally used for data transmission, the terminal has cryptographic software installed thereon and comprises a data processing unit and a power supply module, and the data collection distance is up to 200 km.

This invention relates to heating network monitoring technology and provides a method for monitoring primary heating networks. Based on a low-power wide-area network (LPWAN), the method facilitates data exchange between monitoring terminals and a cloud server. For each batch of reported pressure monitoring data, the method calculates a pipe pressure drop characterization sequence for node pressure sequences within the same cluster and aligned time window, based on the server's receiving time. Anomaly detection in the network is then based on this pipe pressure drop characterization sequence calculation. This monitoring method is applicable to primary heating network monitoring systems built on LPWANs, improving the sensitivity of such systems while reducing false alarm rates in low-cost deployment and operation scenarios.

The application relates to a portable image transmission intercom communication device based on an LPWAN autonomous network technology, an intercom group and a communication system. First intercom data comprises at least one of voice data and image data. The device comprises a first communication module, a data processing module and a second communication module. The first communication module is used for receiving first intercom data sent by the remaining intercom communication devices in the intercom group. Each intercom communication device in the intercom group belongs to the same LPWAN. The data processing module is connected with the first communication module and is used for determining target intercom data from each first intercom data and processing the target intercom data. The target intercom data is intercom data sent by an intercom communication device belonging to the same target intercom group in the intercom group. The second communication module is connected with the data processing module and is used for connecting with a communication device and sending the processed target intercom data to the communication device. The device can realize long-distance communication.

The invention discloses a low-power-consumption communication method, device and system for a charging pile, and relates to the technical field of communication, and the method comprises the steps: responding to a key operation event in a charging pile terminal, and generating a hardware interrupt signal through a hardware interrupt control circuit; in response to the hardware interrupt signal, activating the LPWAN communication module to transition the LPWAN communication module from a deep sleep state to an active state; scanning the current radio frequency environment through the activated LPWAN communication module, and determining the instant link quality; based on the instant link quality, adaptively transmitting the data load of the key operation event through the LPWAN communication module; the data load is stored in the data storage module, and feedback signals are continuously monitored through the LPWAN communication module; and when the feedback signal is a confirmation signal, deleting the data load from the data storage module. The overall power consumption of the charging pile can be effectively reduced.

The invention relates to the technical field of vehicle control, and discloses a vehicle key, a vehicle and a remote vehicle control system.The remote vehicle control system comprises the vehicle key and the vehicle, the vehicle key comprises a first controller and a first low-power-consumption wide area network module, and the first controller is in communication connection with the first low-power-consumption wide area network module; the vehicle comprises a second controller and a second low-power wide area network module, and the second low-power wide area network module is in communication connection with the second controller; the vehicle key is used for receiving a remote control instruction sent by the first controller through the first low-power wide area network module and sending a remote vehicle control message to the vehicle in response to the remote control instruction; and the vehicle is used for receiving and analyzing the remote vehicle control message through the second low-power wide area network module, and sending a remote control instruction obtained through analysis to the second controller, so that the second controller controls the vehicle in response to the remote control instruction. According to the invention, remote vehicle control can be realized in a weak network environment of a mobile network.

Disclosed are a data transmission method, a wireless network monitoring system and a shared data frame structure. The data transmission method is applied to a wireless network supporting multiple levels of wireless terminals, the wireless network comprising a wireless access gateway connected by a low-power wide-area wireless network (LPWAN) technology of a non-cellular network and at least one level of wireless terminals. The method comprises: when a first starting terminal joins the wireless network, determining a first connection between the first starting terminal and the wireless access gateway according to topology information of the first starting terminal in the wireless network; establishing a transmission set and a transmission timing set of the first connection; determining a time length of a superframe of the wireless network as a maximum value of data generation periods of all connections in the wireless network; and assigning a time slot and a channel to each transmission in the transmission set of the first connection for each connection in the wireless network sorted in ascending order of the data generation periods. The above scheme improves the coverage range of the wireless access gateway.

A system and method for detecting and mitigating jamming attacks in low-power wide-area networks (LPWAN) uses machine learning techniques. The system collects network performance data including packet loss ratios and received signal strength indicators from LoRaWAN sensor nodes. A Long Short-Term Memory (LSTM) neural network analyzes temporal patterns in the data to distinguish malicious jamming from normal network congestion. Upon detecting jamming conditions, the system implements automated mitigation through a cloud-based framework that coordinates random channel selection and network reconfiguration. The system leverages LoRaWAN's inherent “Capture Effect” characteristics while providing additional protection through dynamic frequency adjustment. Performance metrics demonstrate 98% accuracy in jamming detection with a 0.5% false positive rate. The architecture enables continuous monitoring and automated response to maintain network integrity while preserving the power efficiency benefits of LPWAN systems.

An implantable medical device, IMD, for patient monitoring or treatment that collects clinical data for upload to a remote data center. The IMD is equipped with a first wireless transceiver configured to operate according to a wireless personal area network, WPAN, communications protocol to transmit the clinical data using a first data communication path and a second wireless transceiver configured to operate according to a low-power wide-area network, LPWAN, communications protocol to transmit the clinical data using a second data communication path. The IMD is provided with computing resource to decide when and with which of the first and second wireless transceivers clinical data collected by the IMD is transmitted, this being done by comparing performance metrics between the first and second data communication paths, such as: availability, relative signal strength, data security level and predicted electrical power consumption by the respective first and second transceivers.

According to the emergency repair audio communication system based on the fusion of the TurMass and the public network, the system can automatically establish a private network when the public network is interrupted by externally connecting the TurMass wireless communication module so as to ensure that communication is not interrupted in an extreme environment, and full-duplex and low-delay voice communication is supported and the defects of a traditional LPWAN (Low Power Wide Area Network) are overcome by utilizing the technical advantages of the TurMass. Through the unique ID identifier, point-to-point accurate calling in the ad hoc network is realized, broadcast chaos and interference of irrelevant communication are avoided, and the cooperation efficiency is effectively improved. And when the calling party equipment judges that the public network is interrupted, the first TurMass wireless communication module is automatically started to carry out private network communication, so that non-perception smooth transition of public network priority and private network backup is realized. And by adopting an external modular design, the system is quickly connected with the existing calling party equipment through a universal interface, so that the upgrading cost is remarkably reduced, and the system is lighter.

The application discloses an Internet of Things flowmeter data compression sensing transmission optimization method and system, and particularly relates to the field of low-power wireless communication networks, and is used for solving the compression sensing signal distortion problem caused by sampling time sequence misalignment in the LPWAN bandwidth limited environment; a local phase reference is constructed by extracting a pipeline vibration fundamental frequency component, and a cloud end synchronization reference timestamp alignment signal is received; a fundamental frequency and a third harmonic component are separated to calculate an arrival time difference, and a phase-locked loop is dynamically adjusted based on a pipeline material threshold to trigger a sampling clock phase; after verifying the stability of the zero-crossing point time variance, a phase synchronization clock is used to perform compression sensing sampling on the flow signal, and optimized compression measurement values are generated and transmitted to the cloud end through the LPWAN; through the closed-loop cooperation of physical characteristics and communication clocks, the complete capture of the signal sparse structure is ensured under the low bandwidth condition, and the cloud end reconstruction accuracy is significantly improved.