52 results about "LPWAN" patented technology

The invention discloses a digital twin-driven bushing operation monitoring and early warning system, which relates to the technical field of digital twin bushing operation monitoring and early warning, and comprises a multi-source acquisition, transmission, analysis, early warning and interaction module, an acquisition module adopts an ad hoc network, a self-powered sensor acquires data in a multi-mode manner, and the sampling frequency is dynamically adjusted. The transmission module guarantees data transmission through LPWAN, satellite communication and quantum encryption, the analysis module builds a multi-scale coupling model to predict the state and the service life, the model can be adaptively adjusted, the early warning module determines the early warning level in combination with a fuzzy decision and a Bayesian network and gives decision suggestions, and the interaction module provides immersive experience and natural interaction based on VR / AR / MR. According to the invention, comprehensive monitoring, stable and safe data transmission, accurate analysis and prediction, scientific and reliable early warning, convenient man-machine interaction, rapid fault diagnosis, cooperation of all modules, real-time and accurate monitoring and early warning, fault reduction, service life prolonging of a sleeve, safety guarantee and benefit and competitiveness improvement are realized through multi-source acquisition.

The invention discloses a tower corrosion state monitoring system and method. The tower corrosion state monitoring system comprises a sensor module, a data acquisition and transmission module, a data processing and analysis module, an early warning and decision module and a visual interface module. The system has the advantages that the corrosion state and the inclination condition of the tower are comprehensively monitored from different angles through multi-sensor fusion, the accuracy and the reliability of the monitoring system are improved through the multi-sensor fusion technology, stable transmission and real-time monitoring of data are achieved in combination with the low-power wide area network (LPWAN) technology and the 5G technology, and the system is suitable for popularization and application. The method is advantaged in that different environmental conditions and monitoring requirements are adapted, flexibility and adaptability of the system are improved, deep learning algorithms such as a convolutional neural network (CNN), a recurrent neural network (RNN) and variants thereof and a multi-modal fusion model are utilized to carry out deep analysis and processing on monitoring data, the intelligent level of the monitoring system is improved, and the monitoring system has a wide application prospect. And the corrosion state, the inclination condition and the development trend of the tower can be accurately evaluated.

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

The invention 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.

According to some aspects, there is provided systems and methods for monitoring extraction of landfill gas from a landfill having a plurality of wells by using a communication system configured to transmit information using a low-power wide area networking (LPWAN) protocol, the communication system comprising one or more gateway devices including a first gateway device and a plurality of communication node devices including a first communication node device. Further, there is provided methods for configuring a communication system comprising one or more gateway devices including a first gateway device and multiple communication node devices including a first communication node device.

The invention discloses an environmental protection data monitoring method and system, and relates to the technical field of environmental protection data monitoring, and the method comprises the steps: constructing a monitoring network in which a fixed monitoring station and a mobile monitoring unit cooperatively work, and achieving the comprehensive collection of real-time data of air quality; multi-source data is transmitted to a cloud platform by using a high-speed data transmission network formed by low-power wireless communication LPWAN and a 5G network, and a high-resolution thermodynamic diagram is generated through a data puzzle algorithm, so that the defects of insufficient space coverage and data updating lagging of traditional monitoring are effectively overcome. According to the method, a pollutant component quantitative model is further constructed by adopting a big data analysis and stoichiometric method, real-time data of PM2.5, VOC and sulfur dioxide are mapped to each pollution source, and accurate quantification of contribution rates of pollution sources such as industrial emission, traffic tail gas and building dust is realized through automatic normalization of a soft maximization function.

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 invention discloses a LoRa spreading factor and power joint distribution method based on reinforcement learning, and belongs to the field of low-power wide area network (LPWAN), and the method comprises the steps: constructing a single-gateway LoRa network; introducing a collision parameter to represent whether the reference terminal equipment is interfered by the interference terminal equipment or not; modeling and analyzing the signal to interference plus noise ratio of the LoRa signal at the gateway, and deducing and calculating the signal to interference plus noise ratio; deducing and calculating the transmission success probability by combining the demodulation characteristic of LoRa, and quantifying the influence of the spreading factor and the transmitting power on the transmission success probability; establishing a reinforcement learning algorithm by taking maximization of the overall transmission success probability of the system as a target; and distributing an optimal spread spectrum factor and transmitting power combination for each terminal device by using the algorithm. According to the invention, under the condition that a large number of terminal devices are accessed and channel resources are insufficient, the data packets sent by the terminal devices can be ensured to be correctly received, interference to other terminal devices is minimized, and the overall transmission performance is improved.

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.

The invention is suitable for the technical field of data processing, and provides an illumination lamp data transmission method, which comprises the following steps that: an illumination lamp continuously acquires various parameter data in the environment and during working, encodes and modulates the various acquired parameter data, and then loads the encoded and modulated parameter data to a power line for data transmission; the PLC concentrator receives modulation signals sent by a plurality of lighting lamps from the power line, demodulates and recovers the modulation signals into various original parameter data, and forwards the various parameter data to the connected LPWAN gateway; the LPWAN gateway recodes and packs the received various parameter data, and transmits the packed data to a monitoring center through an LPWAN network; and the monitoring center receives the packed data transmitted through the LPWAN network, demodulates and recovers the packed data into various parameter data of the lighting lamp, and monitors and analyzes the various parameter data of the lighting lamp. The problem that an existing lighting lamp is poor in data transmission signal stability in a special environment where communication is inconvenient is solved.

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.

The invention provides a coal mine emergency situation identification and processing method and system based on intelligent service. The method comprises the following steps: collecting real-time monitoring environment data of an underground coal mine, transmitting the real-time monitoring environment data to a relay node by using a Zigbee communication technology, encrypting the real-time monitoring environment data, and constructing a decryption mode of the encryption, the encrypted real-time monitoring environment data and a decryption mode are respectively transmitted to a ground control center through an LPWAN communication technology, the real-time monitoring environment data and historical monitoring environment data are compared in the ground control center, and potential emergency situations of the underground coal mine are identified according to a comparison result. According to the method and the system, the potential emergency situation is deeply identified, the occurrence time and the occurrence position of the potential emergency situation are estimated, and corresponding early warning is carried out, so that coal mine environment parameters can be effectively monitored, the emergency situation can be timely found and early warned, a scientific emergency processing scheme is generated, and all departments are coordinated to efficiently deal with the emergency situation.

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 provides a public network ultra-long-distance low-delay communication gateway for a weak signal environment, and aims to solve the problem that signals are weak or no signals exist in weak public network areas (such as urban underground parking lots and remote mountainous areas), a WIOTa wireless communication LPWAN protocol is adopted, the WIOTa protocol is used as a supplement of communication technologies such as 5G and the like, and the weak signal environment-oriented public network ultra-long-distance low-delay communication gateway is provided. Through fusion of a 5G high-broadband technology and a WIoTa asynchronous mechanism, the problem of high time delay of a traditional Internet of Things technology, the problem of signal seamless coverage of underground space and the problem of long-distance transmission coverage of remote mountainous areas are effectively solved, and a spectrum optimization algorithm is further designed, so that the vehicle network interaction efficiency is improved.

According to an example aspect of the present invention, there are provided methods and devices for quality of service implementation in a server of a low power wide area network (LPWAN) by determining a reference signal quality value based on the signal quality values of received messages, comparing the reference signal quality value with a predefined limit, defining a target data rate for messages from the end device at least partly based on the comparison of the reference signal quality value with the predefined limit, defining a target transmission power for messages from the end device at least partly based on the comparison of the reference signal quality value with the predefined limit, and transmitting at least one of the defined target data rate and target transmission power to the end device. Wherein determining the reference signal quality value includes grouping the signal quality values by propagation channel, determining a performance of each propagation channel, selecting a quality of service parameter M, wherein M is an integer greater than zero, selecting the Mth best propagation channel based on the determined performance, and determining the reference signal quality value based on the signal quality values associated with the selected propagation channel.

In one embodiment, techniques for adaptive forward error correction (FEC) in LPWANS are disclosed. The techniques may include determining, by a process, for a block of messages transmitted through a computer network with forward error correction, whether any unrecovered data loss occurred during transmission; increasing, by the process, a level of forward error correction used to transmit through the computer network in response to unrecovered data loss; and / or decreasing, by the process, the level of forward error correction used to transmit through the computer network in response to no unrecovered data loss.

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 relates to a power grid environment monitoring system and method based on a 5G LoRa dynamic gateway. Among them, the method includes: LoRa relays and sensing nodes collect power grid environment data in the blind area covered by communication base stations; the LoRa relays and sensing nodes send the power grid environment data to the 5G LoRa intelligent gateway node; the 5G LoRa intelligent gateway node sends the power grid environment data to the power grid central cloud server through a 5G base station. Through this application, the problems of high construction cost, poor terminal mobility, large operation and maintenance difficulty, and inflexible expansion caused by using wired network transmission methods to externally connect various sensing devices and controllers in mobile signal blind areas are solved. Through the flexible self-organizing network of 5G smart grids and LPWANs such as LoRa, real-time monitoring and monitoring management of the entire power transmission and distribution network with all-round and large coverage are realized, which has the advantages of being independently controllable, low operating cost, good signal coverage, and flexible networking.

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.