82 results about "Cloud of things" patented technology

The invention relates to a cloud refrigerator system based on the cloud of things and a service method. The cloud refrigerator system comprises a cloud computing center, a cloud refrigerator and a user terminal, wherein the cloud computing center is provided with a plurality of cloud service application modules, a network protocol stack is embedded in an intelligent controller of the cloud refrigerator, and the cloud refrigerator and the user terminal are respectively in communicative connection with the cloud computing center through a communication network. The user and cloud refrigerator core application can be functionally supported by means of the powerful data processing technique of a cloud computing center platform. The cloud service application modules is in an open structure, the authorized user can customize different application functions of the refrigerator at any time, and accordingly cloud service functions of personalized customization, automatic software upgrading, automatic fault alarming and the like of the refrigerator can be realized, and application limits of existing normal refrigerators in the network of things can be broken through.

The invention discloses an agricultural and sideline product tracing information management system based on the IOT (Internet of Things), and the system mainly comprises an information data recording module, a monitoring management module and an early-warning information processing module. The information data recording module records the information of agricultural and sideline products in the monitoring management module through a remote Internet. The monitoring management module carries out the querying, supervision and complaint processing of all the upstream and downstream information of agricultural and sideline products: production main body information, storage information and sales data. The early-warning information processing module carries out the information early-warning of all related responsibility subjects through the mobile Internet, and carries out the processing according to a preset emergency scheme. According to the invention, the system enables all producers at agricultural production links to be managed in the system in different organization modes, achieves the registration and recording of the basic information of producers, the information of sales enterprises, use information of agricultural inputs and the information of the production links, builds a new agricultural product quality safety supervision mechanism, and creates a new modern agricultural management mode.

The invention discloses an asset locating management system of cell-based narrow-band internet-of-things (NB-IoT) technology. The system includes terminal equipment, a base station and background equipment. The terminal equipment acquires asset dynamics through a narrow-band internet-of-things (NB-IoT) base-station locating, uses edge calculation to analyze risks in real time, and automatically collects and processes information of locations, status and the like; and transmits long-distance low-power-consumption data in a wireless manner through a narrow-band internet of things (NB-IoT), and regularly uploads asset data. The base station is used as a medium of information transmission of the narrow-band internet-of-things (NB-IoT) technology to realize information transmission connecting the terminal equipment and a background management system. The background equipment uses cloud computing to analyze and process received asset information to realize management of real-time asset monitoring and tracking, movement authorization, asset inventorying, security alarming and the like. According to the asset locating management system, characteristics of low power consumption, wide coverage, large capacity, short delay, frequent communication and the like of the narrow-band internet-of-things technology are utilized, the information of assets which are large in a number, high in liquidity and placed in various complex environments is accurately acquired in time, and the assets are safely and highly efficiently managed.

The invention discloses a heat metering information application service management platform on the basis of an internet of things for the heat supply industry. The heat metering information application service management platform comprises an application layer, a service layer, a network layer and a device layer; signals are transmitted among the application layer, the service layer and the device layer via the network layer; the application layer comprises a heat metering information application service management system; the service layer comprises a heat charging server, a cloud computing server and a heat supply system monitoring server; the network layer comprises a wired internet and/or a wireless internet; the device layer comprises gateways and terminal devices, the terminal devices are connected with the wired internet and/or the wireless internet by the gateways and include household heat meters, a pipe network temperature sensor, a pipe network flow meter, a pipe network pressure meter, a pipe network control valve and heat supply devices, the household heat meters are arranged at user terminals, the pipe network temperature sensor, the pipe network flow meter, the pipe network pressure meter and the pipe network control valve are arranged in a heat transfer pipe network, and the heat supply devices are arranged at heat supply stations; each terminal device has a unique address code. The heat metering information application service management platform has the advantages that running states of the heat meters can be counted and monitored, heat supply conditions can be analyzed, and management and information services can be provided.

Apparati, methods, and computer-readable media for improving the security of communications networks. In one embodiment, an application control device (1102) controls another device (1109) from a remote location. The system comprises a remote device (1101) coupled to the device (1109) being controlled. The remote device (1101) has an action portion (1103) and a security portion (1104). The security portion (1104) contains a unique security portion identifier (1142). Remotely situated from the remote device (1101), the application control device (1102) comprises a rolling transaction code generator (1120) adapted to assign a unique rolling transaction code to each occurrence for which the application control device (1102) wishes to control the action portion (1103) of the remote device (1101). Another embodiment is a system for enabling two or more devices (1401, 1402, 1403) to communicate with each other over a network (1450) without human intervention. The system comprises at least one sending device (1401) adapted to send messages (1460) over the network (1450) to at least one receiving device (1402). Each sending device (1401) is coupled to the network (1450) via a sending intelligent chip (1411). Each receiving device (1402) is coupled to the network (1450) via a receiving intelligent chip (1421). Sending intelligent chip (1411) appends an identifier (1417) to each message (1460) emanating from its associated sending device (1401). The identifier (1417) comprises a fixed portion (1415, 1416) uniquely identifying the associated sending device (1401), and a variable portion (1414). Receiving intelligent chip (1421) comprises a module (1423) for approving the sent messages (1460), by validating both the fixed and variable portions of the identifier (1417).

The invention relates to a digital urban management control method based on cloud computing and the Internet of Things. The Internet of Things technology and the cloud computing technology are introduced to digitally manage complex events affecting urban safety. The management control method includes the steps that a digital urban management application frame based on cloud computing and the Internet of Things is set up and comprises a sensing layer, a network layer and an application layer, and all the layers have the different functions; the data transfer mode from the application layer to a data layer is designed, so that data are exchanged and shared to prevent information isolated island; digital urban management based on cloud computing and the Internet of Things technology is achieved again so that the complex urban events can be monitored and managed in real time. The digital urban management control method based on cloud computing and the Internet of Things effectively achieves real-time tracking and positioning and is good in practicability.

The invention discloses a water environment treatment remote supervision method and device based on a mobile internet of things. The method comprises the steps that a detection module initiatively detects the running state of a treatment device and water quality; a device control module achieves autonomous control and remote control on the device according to a device control instruction issued by a data processing module; a video monitoring module picks up or captures images in a water environment treatment site environment according to the instruction; preprocessing, encapsulation, resolution and packaging work is performed on all of detection data, image data and the control instruction in the data processing module; all of data transmission between a mobile terminal and the supervision device is achieved through a 3G communication module. By means of the water environment treatment remote supervision method and device based on the mobile internet of things, a user can achieve water environment treatment data acquisition, remote control on the device and remote monitoring and image snapshot in the site environment through the mobile terminal device.

The invention discloses a system and method for estimating electricity consumption of electrical equipment based on the Internet of Things, including a cloud platform, at least one smart node with SOE functions, and several smart terminals; the smart terminals at least include smart sockets and smart switches, and the The smart terminal is equipped with corresponding electrical equipment, and controls the opening and closing of the electrical equipment; the smart terminal can receive the control of the smart node through communication with the smart node, and feed back the action results of the electrical equipment to the smart node; The action information fed back by the terminal records the sequence of electrical equipment action events and reports them to the cloud platform. The cloud platform estimates the power consumption of electrical equipment by extracting the sequentially recorded event information and the stored electrical equipment registration information. The present invention can directly use the existing hardware equipment of the electrical Internet of things, and can save the investment of the additional measurement function, so that it is more practical.

The invention relates to a textile big data management system based on the internet of things. The textile big data management system based on the internet of things comprises a data analysis unit, a data processing unit, a database, an RFID unit and an alarming unit, wherein the data management system collects equipment information, raw material basic information, machining processing information and product information of textile equipment through a data collector, stores the collected data information to the database and processes the stored data, the problems of the basic condition of the equipment and products can be found through data analysis of a system processor, the purpose of real-time monitoring is realized, comprehensive and omnibearing management on data of a textile enterprise is realized, the link with problems can be conveniently found out, and therefore corresponding measures are taken.

The invention discloses a data mining system under a big data environment and an application thereof. The data mining system includes a data preprocessing module, a data mining module, a pattern evaluation module, and a knowledge representation and system background management module. The system can be applied to the internet of things system, geographic information system, the power dispatching automation system, the remote monitoring system, the agricultural information system, the financial and insurance information system and the e-commerce system. The system sets up the standard in advance for the massive data information database, the massive mining algorithm and the compilation of all kinds of visual components, and connects all the components conforming to the standard to the platform, so that other components can be invoked. By using the GEF and RCP technology, users can have a simple and convenient interface to improve the visualization of data mining. The data mining systemand the application thereof can support a large number of data pre-processing algorithms, a variety of complex data sources and many classic mining algorithms, and can be used in multi-industry and multi-domain analysis, search and research decision-making.

The invention discloses a consumer fitting data feedback system for intelligent stores based on the Internet of things technology. The system comprises multiple FRID tags of which each is installed on a garment and is used for recording the information of the garment, a store management system which is used for receiving the identification codes in the FRID tags, a fitting room system which is connected with the store management system and is used for receiving the identification codes in the FRID tags on the garments in fitting rooms, sending each identification code to the store management system and receiving garment information queried by the store management system, a magic mirror system which is arranged in the fitting room system and is used for users to try on clothes and look in the mirror and is further used for receiving the identification code in the FRID tag on a garment chosen by a user, sending the identification code to the store management system, receiving garment information and displaying the garment information to the user, and multiple handheld terminals connected with the store management system. With use of the magic mirror system, the shopping experience of customers can be improved, the shopping behavior of customers can be analyzed, and the purchase desire of customers can be improved.

The invention relates to the technical field of Internet of Things operation accessory devices, in particular to a novel Internet of Things device. A display screen of the device is convenient to clean when being contaminated with fingerprints or dust in an adhered mode after long-time use, and the cleanliness of the device is improved; the height of a display is convenient to adjust according tothe needs of staff, and the adaptability of the device is improved; and the display angle of the display can be easily rotated according to the needs of the staff, so that the usage limitations of thedevice are reduced. The device comprises the display, a top plate, two sets of brackets and a bottom plate; the front side of the display is provided with the display screen; the device further comprises two sets of sliding columns, two sets of connecting columns, a driving plate and a sponge; the front side wall of the display is laterally provided with two sets of sliding grooves; the top platecomprises an upper plate body and a lower plate body; the device further comprises two sets of fixing rods, two sets of slide columns, a first motor and a rotating column; the left half area and theright half area of the outer side of the rotating column are provided with threads correspondingly; the rear side wall of the display and the top side wall of the upper plate body are provided with fixing blocks; and the device further comprises a hydraulic cylinder and a telescopic rod.

The invention discloses an SMT production data acquisition, monitoring and tracing method based on the Internet of Things. The method comprises the following steps of: S1, a data acquisition system; S2, a data transmission system; S3, a data storage system; S4, a data sensing system; and S5, a data presentation system. The data acquisition system is compatible with devices with different brands and types; compared with a traditional MES emphasizing process and data and process management and control on the production level, the SMT production data acquisition, monitoring and tracing method focuses on collecting and presenting data assisting in factory operation; compared with traditional MES deployment which needs a large number of personnel for matching, the method can achieve quick deployment, almost does not need additional personnel support, and solves the problem that devices with different brands cannot achieve low-cost data summarization through a unified system. Small and medium-sized electronic manufacturing factories can have a low-cost IT system solution, and reliable, real-time and transparent production data can be obtained.

The invention provides an enterprise production data monitoring method based on industrial Internet of Things capable of safely transmitting the data and analyzing and visually displaying the data. The method comprises the following steps: S1, data collecting step; S2, data transmitting step, wherein the data transmitting step comprises: transmitting the production data to a server through a dataencrypting step; S3, data analyzing step, wherein the data analyzing step comprises: storing the production data into a database based on data logic and analyzing the production data according to things logic through a middle layer server; and S4, data displaying step. According to the enterprise production data monitoring method based on industrial Internet of Things, the influence of each data in the generation process on the energy consumption is visually displayed to a manager in a production energy consumption neural network paraphrase manner, so that a production decision can be conveniently made by the manager, and energy consumption is reduced.

The invention discloses a mobile data collection method of a pipeline gas internet of things (IOT). The mobile data collection method comprises the steps that a mobile data collector is connected with a management machine to download a data collection operation task list; identity (ID) identification numbers of target gas meters are generated into meter wakeup signals by using meter communicationsecret keys; data collection response signals sent out by meters are received and decrypted; whether a flow rate integrating difference value is in a data range or not is judged, the ID identification numbers of the meters, the flow rate integrating difference value and the time are respectively written into a data collection normality record chart and a data collection abnormity record chart, and the ID identification numbers of the meters, which is not in the data range, is marked as incompletion; the updated meter communication secret keys are encrypted and sent to the meters, the ID identification numbers of the meters accurately fed back are marked as completion, otherwise marked as no feed back; the meters which do not accurately response to the meter wakeup signals are marked as noresponse; the ID identification numbers of the meters, which are already marked, and the identification types thereof are written into a manual data collection record chart to be manually processed. Through the adoption of the mobile data collection method, safety data collection and equipment management of the pipeline gas IOT can be realized.

A system for analyzing data on Internet of things including a CPU, the input end of the CPU is electrically connected with a data analysis module, The input end of the data analysis module is electrically connected with a data collection module, the input end of the central processor is electrically connected with a power module, the output end of the central processor is bidirectionally electrically connected with a display module, and the output end of the central processor is bidirectionally electrically connected with an encryption module. The central processor, data analysis module, datacollection module, Power module, Display module, encryption module, A storage module, an alarm module, a first USB interface, a first USB interface, a notebook computer, a standby storage module and asecond USB interface are arranged, so that the standby storage module backs up data, thereby achieving the effect of preventing data loss, and solving the problem that the existing Internet of Things data analysis system cannot prevent data loss.

The invention discloses a four-layer geographic data storage system oriented to Internet of Things application. The system comprises a four-layer architecture composed of a geographic node, a logical node, an application node and a storage node, wherein the geographic node is used for accurately describing geometrical shape of a site in the application; the application node is used for describing objects containing geographic position information in the Internet of Things application; the logical node is a core structure of an organization space in the four-layer geographic data storage system oriented to Internet of Things application, and is used for organizing geographically significant points in a layered-structure, and respectively associating the geographic node, the application node and the storage node. A flexible and high-efficiency method is provided for query and processing operations of data; the storage node is used for efficiently processing different types of data, and needs to use SQL, NoSQL and a distributed file system in mixed form. After using the module provided in the invention, geographic data storage oriented to Internet of Things application can be organized effectively in decoupled form, and high-efficiency query and storage can be carried out.

The invention relates to a cloud control hanging system based on an Internet-of-Things technology and belongs to the field of clothing manufacturing Internet-of-Things technology. The system comprisesa cloud platform and a plurality of hanging terminals distributed in different regional production terminals, wherein the hanging terminals are connected with the cloud platform; the cloud platform comprises an information collection module and a data management module; the hanging terminals send production data to the information collection module and the data management module in sequence; eachhanging terminal comprises a hanging conveying mechanism used for conveying hangers provided with information recognition devices, multiple workstations arranged on the hanging conveying mechanism, signal sensing devices arranged at the head-end workstation and the tail-end workstation of the hanging conveying mechanism and information decoding devices arranged on other workstations and used fordecoding the information recognition devices; and the signal sensing devices and the information decoding devices are connected with the information collection module. Through the system, the progressof a single plant and progress coordination among multiple plants are efficiently supervised, multi-plant big data is collected and analyzed, and integrated intelligent management of clothing production, logistics and sales is realized.

The invention belongs to the technical field of psychological counseling, and discloses a remote psychological counseling system and method based on the Cloud of Things. According to the invention, communication via the Internet of Things (IoT) is realized through access of IoT communication equipment to the IoT via an IoT communication module; a user registers an account number of the psychological counseling system by using a registration program through a user account registration module; after the registration is completed, the user logs in the psychological counseling system by using a log-in program through a log-in module; after the user logs in the psychological counseling system, the psychological data information of the user is acquired by adopting a psychological data acquisition module; according to the acquired psychological data information of the user, a psychological state recognition module uses a recognition program to recognize a psychological state, and the psychological analysis module uses an analysis program to analyze the psychological data; according to an analysis result, a counseling scheme generation module generates a psychological counseling scheme; and when psychological anomaly data occurs, early warning is carried out by using an early warning module. According to the invention, timely, comprehensive and accurate effects can be achieved.

The invention provides an intelligent household system of the Internet of Things and relates to the field of intelligent homes. The intelligent household system comprises a detection unit, a data processing unit, an execution unit and a remote control unit. The detection unit comprises a camera, a fire disaster detection module, an air detector, a temperature detector, a data acquisition terminal and a memory. The camera, the fire disaster detection module, the air detector, the temperature detector and the memory are connected with the data acquisition terminal. The data processing unit comprises a microprocessor and a wireless communication module connected with the microprocessor. The execution unit comprises a PLC controller, an access control module, a fire fighting module, a ventilation device and a temperature control device. The PLC controller is connected with the access control module, the fire fighting module, the ventilation device and the temperature control device. The microprocessor is connected with the data acquisition terminal and the PLC controller. The intelligent household system is convenient to use, practical and highly intelligent and automatic, and a comfortable, safe, convenient and highly efficient living environment can be provided for users.

The invention discloses an information issuing method and system based on an IOT (Internet of Things) access point. The method comprises the steps: uploading the temporary parking position of a vehicle where a vehicle-mounted communication terminal is located on one road and a parking identification to a data gathering and analysis platform through the IOT access point; enabling the data gathering and analysis platform to screen out the vehicles which are running, are connected to the data gathering and analysis platform through the IOT access point, are located on the road and run towards the temporary parking position, and forming a second vehicle set through the vehicles; calculating the instant distance between the temporary parking position and the instant position of each target vehicle in the second vehicle set, and transmitting announcement information to drivers of the target vehicles, wherein the announcement information comprises the instant distance between the temporary parking position and the instant position of each target vehicle and the identification of the vehicle where the vehicle-mounted communication terminal is located. The method can enable the vehicle drivers to timely know that there is a vehicle temporarily parked at a place on the road, thereby enabling the drivers to reduce the speed in advance, so as to avoid a traffic accident.

The invention discloses an internet of things big data platform applied to environment protection. The internet of things big data platform comprises a data collecting device, an intermediate storagemodule, a big data processing platform, a cloud-side processing platform, a detection unit, a data analysis unit and a data processing unit; an output end of the detection unit is connected with an input end of the data analysis unit, the output end of the data analysis unit is connected with the input end of the data processing unit, and the output end of the data processing unit is connected with the input end of the detection unit. The urban discharge capacity comprehensive data can be online monitored and collected by arranging the data collecting device, the big data processing platform,and the cloud-side processing platform; the large-scale and key region monitoring is continuously performed on key pollution sources and monitoring regions and occasions, and the centralized processing is performed, the environment pollution status can be understood in real time and the response measure can be made, thereby facilitating the urban environment management and providing better livingspace for the people.