25 results about "Smart internet" patented technology

The invention provides a carbon emission monitoring method and system based on an intelligent Internet of Things, and belongs to the technical field of carbon emission monitoring, and the method comprises the steps: arranging an acquisition module, a screening module, a storage module, a prediction module, an early warning module and a self-regulation module in a park; the acquisition module is started to calculate an effective carbon emission index, the prediction module constructs a prediction model, future meteorological data is input, and the prediction model predicts the effective carbon emission index in a future time period; time data corresponding to the effective carbon emission indexes larger than the threshold value are input into the early warning module and the self-regulation module, the actual effective carbon emission indexes and meteorological data are fed back to the prediction model, and the self-regulation module sends out a new adjustment instruction. According to the carbon emission monitoring method based on the intelligent Internet of Things, carbon emission, energy consumption, environmental parameters and the like can be fused through screening, storage, prediction and other modes so as to effectively and reasonably calculate the effective carbon emission index, and then an adjustment instruction is sent out to monitor, regulate and control the carbon emission.

The application discloses an intelligent internet unmanned aerial vehicle (UAV) box and an automatic docking and locking control system thereof, and belongs to the technical field of UAV cargo hoisting. The system comprises a suspension connection unit, an intelligent cargo box unit, a positioning unit, a mechanical lock unit and an intelligent control unit. When the suspension unit and the positioning unit are magnetically connected, the intelligent control unit determines the locking or releasing mode through the number of signal contact connections; in the locking mode, a power-on timing control module supplies a first direction current to an electromagnetic adsorption module, sequentially drives a lock mechanism to close, and realizes mechanical locking; in the releasing mode, a reverse current is supplied, the lock mechanism is sequentially driven to open, and automatic unloading is realized. The system realizes full-process automation of UAV hoisting, has a high-reliability double-locking mechanism, effectively prevents aerial misrelease, is integrated into a smart internet network, and significantly improves the safety, efficiency and informatization level of hoisting operation.

The invention discloses an intelligent Internet of Things system full-chain fault diagnosis method and system based on deep reinforcement learning, and belongs to the field of intelligent Internet of Things system fault diagnosis, and the method comprises the steps: constructing a DQN deep reinforcement learning model; obtaining historical fault data, and performing offline training on the DQN deep reinforcement learning model according to the historical fault data to obtain a fault diagnosis model; constructing a fault diagnosis system according to the fault diagnosis model; and obtaining a fault diagnosis result by using a fault diagnosis system. The method solves the problem that a traditional fault diagnosis method cannot be suitable for full-chain fault diagnosis of a complex electric power intelligent Internet of Things system with a large data size.

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

The application discloses an old-age physical exercise health monitoring data processing method and system based on a smart Internet of Things, relates to the technical field of health monitoring data processing, and comprises the following steps: collecting light intensity data, surface reflectivity data and acceleration data in the health monitoring data processing link, performing time alignment processing on the collected light intensity data, surface reflectivity data and acceleration data, and generating exercise scene time sequence features. The application constructs exercise scene time sequence features through multi-source data synchronous collection and time alignment, realizes the differentiation of light and motion interference, and combines inverse sampling and position marking to maintain signal continuity. Through intermittent shading rhythm linkage sampling rhythm and brightness threshold dynamic regulation of light sources, blood flow signals are corrected in real time, and the health monitoring data is stable and reliable.

The invention relates to the technical field of Internet of Things air switches, in particular to an intelligent Internet of Things air switch. The air switch comprises an air switch main body and a pre-mounting plate connected with the bottom of the air switch main body, a clamping groove is formed in one side of the bottom of the air switch body, a first spring is arranged on the inner side of the bottom of the air switch body, the other end of the first spring is connected with a lock rod, the outer ring face of one end of the lock rod is sleeved with a first auxiliary sliding plate, and a shifting block is fixedly arranged on the surface of one end of the first auxiliary sliding plate. A lock hole is formed in the surface of one end of the clamping block. Through the pre-installation plate, the lock rod, the shifting block, the spring and other structures, the air switch body can be conveniently and rapidly disassembled and assembled in the subsequent use process, no auxiliary tool is needed in the disassembling and assembling process, compared with installation through bolts, installation is convenient, the whole air switch is more convenient and rapid, and higher practicability is achieved.

The invention provides an advertisement putting effect evaluation method and device, electronic equipment, a storage medium and a program product, and can be applied to the technical fields of big data, artificial intelligence, Internet, advertisement putting and the like. The method comprises the following steps: receiving an advertisement putting request sent by a multimedia platform; user attribute characteristics of the target user and an offline evaluation result of the putting effect of putting the advertisement to the target user on the multimedia webpage are obtained from an offline database, the user attribute characteristics are determined based on user attribute information of the target user, and the offline evaluation result is determined through offline effect evaluation analysis based on the user attribute information; feature fusion is carried out on the advertisement space attribute information, the user attribute features and the offline evaluation result to obtain online fusion features, and the advertisement space attribute information is determined based on the advertisement putting request; and on the basis of the online fusion features, performing online effect evaluation analysis on the putting effect of putting the advertisement to the target user to obtain a target evaluation result.

1. Name of the product in this design: Intelligent Internet of Things Electrothermal Actuator. 2. Intended use of this design: as an intelligent IoT electrothermal actuator. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to the technical field of intelligent Internet of Things supply chain management, in particular to an intelligent Internet of Things-based supply chain platform data management system, which comprises a data acquisition module, a contract execution module, a node control module, a credit evaluation module and a data asset module. The data acquisition module acquires material physical state information to generate a supply chain panoramic data stream; the contract execution module extracts key performance data and automatically verifies the key performance data according to intelligent contract logic, and generates a credible contract execution signal if a condition is met; the node control module triggers logistics and storage nodes to automatically control and synchronously update resource state records according to the signals; the credit evaluation module extracts features to generate a financial evaluation vector and calculates a dynamic credible score; and the data asset module is packaged into a standardized asset packet to synchronously authorize the alliance node. The system can realize the technical effects of contract automatic execution, node linkage control, credit dynamic evaluation and alliance collaborative decision.

A method for managing communication between Internet of Things (IoT) nodes in an IoT environment with an IoT hub involves using a high-power initiator node to request services and identify a candidate intelligent device among the nodes. Depending on a parameter of the initiator node, the intelligent device can flexibly operate as a low-power, high-power, or hybrid device. The method can include selectively assigning the intelligent device as a trusted designated node within the IoT environment. Furthermore, the method includes determining, based on the parameter, an optimal periodicity for communicating status messages from the trusted designated node to the IoT hub.The procedure then involves transmitting the status messages to the hub with the optimal periodicity via the trusted designated node, so that the trusted designated node acts as a proxy for the initiator node when it reports the status messages to the hub.

The application discloses a kind of multi-scene equipment communication methods and electric energy meter based on intelligent internet of things electric energy meter, it is related to electric energy meter communication technical field, comprising: obtaining voltage sampling sequence and current sampling sequence, according to signal zero crossing and disturbance event starting point determine phase anchor point, and combine event register and measurement state to determine scene number;With phase anchor point as center, extract integer fundamental period window, calculate voltage total harmonic distortion, current total harmonic distortion, harmonic amplitude and equivalent impedance amplitude, generate measurement fingerprint, and combine table in counter derived time slot seed;According to scene number configuration time slot length and maximum waiting time delay, based on measurement fingerprint and time slot seed, determine sending time slot and sending time, and after combining bearing state table selects main communication bearing and standby communication bearing, send message, and based on receipt check switch retransmission, to improve time slot determination accuracy, sending real-time and communication stability.

The application provides a smart Internet of Things safety response method, device and system based on voice wake-up, relates to the technical field of smart Internet of Things safety monitoring, and the method comprises the following steps: performing real-time monitoring on voice input, and simultaneously cooperating with three fixed Internet of Things equipment nodes in the environment to perform sensing, so as to obtain multi-modal sensing data; the equipment nodes comprise a smart sound box, a camera and a sensor; based on the multi-modal sensing data, real-time position coordinates of each Internet of Things node are extracted, spatial operation is performed on the position coordinates through a polygon region construction algorithm, and a dynamic monitoring region is obtained. The application realizes accurate identification and efficient disposal of an emergency in a closed or special Internet of Things scene.

The invention discloses an intelligent internet advertisement service system oriented to digital economy. The intelligent internet advertisement service system comprises a data set construction module, a clustering preparation module, a clustering module and an accurate advertisement putting module. The invention relates to the technical field of internet advertisement intelligent management, in particular to an intelligent internet advertisement service system oriented to digital economy. According to the scheme, a time sequence signature is generated in a time window according to an event type and time decay; time sequence, user and advertisement features are fused to form mixed similarity aligned with a conversion target through mutual information weighting, and the sensitivity of clustering to service signals is improved; by utilizing multi-scale atlas clustering and combining conversion rate and causal consistency pruning, constructing a hierarchical structure with a conversion value as a guide; in the online stage, soft matching is carried out with the clustering tree as an index, sorting is carried out based on expected conversion values, precise advertisement putting with economic values as the core is achieved, and the conversion rate and putting income are remarkably improved.

The invention discloses an artificial intelligence internet e-commerce device, and relates to the technical field of e-commerce devices.The artificial intelligence internet e-commerce device comprises a box body, a display screen and a drawer, and the drawer is slidably connected to an inner cavity of the box body. When a temperature sensor detects that the temperature in the box body exceeds a set numerical value, an electric telescopic rod is controlled by a controller to contract, so that a movable frame moves, a sliding frame is driven to move, air on the two sides of the box body circulates, the air circulation space is increased, and the heat dissipation efficiency is improved; and by arranging the dustproof unit, when the sliding frame moves, one end of the filter screen can be dragged, at the moment, the winding rod rotates to unwind the filter screen, so that the two sides of the box body are shielded by the filter screen, dust entering the inner cavity of the box body is reduced, and the dust is prevented from being accumulated in the inner cavity of the box body.

A method for managing communication between Internet of Things (IoT) nodes in an IoT environment with an IoT hub involves using a high-power initiator node to request services and identify a candidate smart device among the nodes. Depending on a parameter of the initiator node, the smart device can operate flexibly as a low-power, high-power, or hybrid device. The method can include selectively assigning the smart device as a trusted designated node within the IoT environment. Furthermore, the method includes determining, based on the parameter, an optimal periodicity for communicating status messages from the trusted designated node to the IoT hub.The procedure then involves transmitting the status messages to the hub with the optimal periodicity via the trusted designated node, so that the trusted designated node acts as a proxy for the initiator node when it reports the status messages to the hub.

The invention belongs to the technical field of advertisement recommendation, and particularly relates to a digital economy-oriented intelligent internet advertisement service platform, which comprises a trusted transaction module, a push optimization module and a payment verification module. According to the scheme, a multi-party node network is constructed through a distributed account book technology, a graph neural network is introduced to construct a fraud detection model, a putting proof packet is generated in combination with zero-knowledge proof, users are preliminarily screened by adopting a collaborative filtering algorithm, putting validity is verified, and a payment voucher is generated, so that advertisement putting precision, transaction credibility and effect traceability are realized; the resource configuration efficiency and the advertisement conversion rate are improved; by deploying the pledge smart contract in the distributed account book network and combining high-cost forged multi-source evidences, the fraud cost is improved, rule manipulation is prevented, equipment compatibility and user privacy are both considered, and fair advertisement transaction markets are maintained.

The application provides an automatic closed-loop testing method and system for an intelligent Internet of Things terminal, the method comprising: obtaining device information of the intelligent Internet of Things terminal to be tested, opening testing control software, generating and sending a first testing instruction to a testing bench controller; decomposing the first testing instruction to obtain a first decomposition instruction; collecting first running data of the intelligent Internet of Things terminal during running by the testing control software, and collecting second running data during running after the intelligent Internet of Things terminal runs for a preset time; sending a second testing instruction to the testing bench controller by the testing control software; decomposing the second testing instruction to obtain a second decomposition instruction, and turning off auxiliary equipment and the intelligent Internet of Things terminal according to the second decomposition instruction; and analyzing the first running data and the second running data by the testing control software to obtain a testing result. The application improves the efficiency and accuracy of testing the intelligent Internet of Things terminal.

1. The name of the design product: wireless intelligent gateway. 2. The use of the design product: the product is used to connect devices of different network protocols. 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 application relates to the field of data transmission, in particular to a smart Internet of Things equipment storage data transmission system and method based on a blockchain, which comprises an edge relay module, a cloud coordination module, a local update module, a verification encryption module and a distributed recovery module; the edge relay module is used for setting an edge communication gateway; the cloud coordination module is used for verifying and forwarding an encrypted data packet; the local update module is used for version marking and common dependent data confirmation; the verification encryption module is used for querying data availability; and the distributed recovery module is used for recovery and reconstruction when data is lost; the application realizes encryption and authentication of Internet of Things data through dynamic local data indexing, stores the data in a decentralized manner in a device network, can improve data security, reduces the probability of Internet of Things data being leaked or maliciously attacked in the cloud, and enhances the decentralized fault tolerance function of the Internet of Things system.

This invention relates to the field of power energy storage technology, specifically disclosing a power energy storage system based on the Internet of Things. The system includes: an acoustic emission detection module for acquiring stress wave information inside the energy storage battery; a sensor group including a gas sensor, a temperature sensor, and a pressure sensor for acquiring characteristic gas concentration information, temperature information, and pressure information of the energy storage battery, respectively; an energy storage battery parameter interface for acquiring operating information of the energy storage battery; and an energy storage management system for determining safety thresholds based on the information acquired by the acoustic emission detection module, the sensor group, and the energy storage battery parameter interface, and, if the threshold range is not exceeded, performing correlation analysis between the stress wave information, characteristic gas concentration information, pressure information, temperature information, and operating information, and predicting the risk of energy storage battery runaway based on the analysis results.

A method for managing communications between Internet of Things (IoT) nodes in an IoT environment having an IoT center includes using a service request high power initiator node to identify candidate smart devices in the nodes. Based on the parameters of the initiator node, the smart device can flexibly operate as a low-power or high-power device, a hybrid device. The method may include selectively assigning the smart device as a trusted designated node within the IoT environment. The method also includes determining an optimal period of status messaging from the trusted designated node to the IoT hub based on the parameter. Thereafter, the method includes transmitting, via the trusted designated node, the status message to the center at the optimal cycle, such that the trusted designated node acts as a proxy for the initiator node when reporting the status message to the center.

The invention relates to an electric heating load control system and method, and belongs to the technical field of load management control. According to the invention, the dual-mode communication modules are arranged on the load control terminal side and the intelligent Internet of Things table side, and the load control terminal and the intelligent Internet of Things table construct a networking routing mechanism based on the set dual-mode communication modules to realize mutual routing of dual-mode channels, so that dual-mode communication between the load control terminal and the intelligent Internet of Things table is realized. Wherein the dual-mode communication module adopts an HPLC (High Performance Liquid Chromatography) + HRF (High Radio Frequency) dual-mode communication mode. Thus, when the HPLC communication between the load control terminal and the intelligent Internet of Things is failed, the HRF can be directly started for communication, the situation that normal communication is affected due to abnormal communication caused by the fact that the HPLC is limited by the inherent problem of a power line channel is avoided, and the communication reliability and quality between the load control terminal and the intelligent Internet of Things are improved.

A method for managing communication between Internet-of-Things (IoT) nodes in an IoT environment having an IoT hub includes using a service-requesting, high power initiator node to identify a candidate smart device among the nodes. The smart device is flexibly operable as a low power or high power device, as a hybrid device, based on a parameter of the initiator node. The method may include selectively assigning the smart device as a trusted designated node within the IoT environment. The method also includes determining, based on the parameter, an optimal periodicity of communication of status messages from the trusted designated node to an IoT hub. Thereafter, the method includes transmitting the status messages to the hub with the optimal periodicity, via the trusted designated node, such that the trusted designated node acts as a proxy for the initiator node when reporting the status messages to the hub.