43 results about "Internet of things cloud computing" patented technology

The invention discloses an environmental big data analysis and decision-making platform based on machine learning. A water environmental pollutant big data analysis comprehensive evaluation index, anenvironmental ecological profit and loss big data analysis algorithm and an environmental protection public opinion monitoring prediction big data analysis model are given; the platform supports remote access of environmental data such as basic data, business data, government affair data, monitoring data, video data and remote sensing data; through the modes of data acquisition and filtering, datamining, multi-dimensional analysis, a distributed computing framework, a full-text retrieval service engine, Internet of Things + cloud computing and the like, the MPPDB + Hadoop technology is adopted to realize storage, analysis and presentation of massive structured, semi-structured and unstructured data, and full-life-cycle management of the data is realized. Ecological environment big data can be collected, integrated, analyzed and presented, an environmental protection department is assisted in comprehensively mastering comprehensive conditions of water environment pollutants, environmental ecological profit and loss conditions and environmental protection public opinion information in a jurisdiction, and decision makers are assisted in making decisions.

The invention discloses an intelligent early warning care system based on community gridding and, belongs to the technical field of community gridding management, and aims to form a whole-process informatization management system for pre-event notification, intra-event attention and post-event evaluation through associated application and analysis of early warning prediction information of a concerned object main body on the basis of collection of element information of people, places, events, objects, situations and organizations in grids based on management requirements of social governancegridding. Advanced information technologies such as the Internet of Things, cloud computing, big data, artificial intelligence and spatial geographic information integration are applied; by integrating grassroots service management resources to the maximum extent, socialization, intellectualization and specialization levels of social governance are improved, and the system is an important carrierfor realizing modernization of social comprehensive governance and is also an important basic support for smart city construction.

The invention designs a cloud computation architecture for a household internet of things. The architecture proposes a cloud computation architecture facing an environment of the household internet of things on the basis of integration of current effective communication management, data storage, data analysis and exploration, transaction management and control technologies. The architecture mainly includes (1) household internet of things mass data storage module; (2) a communication management and message processing module of a household internet of things intelligent terminal and a cloud background; (3) an analysis and exploration module for data of environment parameter analysis and early warning and user habit analysis and the like; (4) a service control module. The architecture aims at providing a powerful data storage and analysis platform for the household internet of things intelligent terminal so that more intelligentialized and more user-friendly comfortable life services are provided to users.

The invention discloses a BIM technology-based foundation pit deformation monitoring synchronous simulation analysis and real-time early warning system. The system comprises a cloud data processing platform, a WEB client, a mobile client, an intelligent monitoring data sensor and a workstation. The cloud data processing platform comprises a monitoring data receiving and storing module, a BIM modellightweight management module, a BIM model synchronous simulation analysis module, a monitoring data analysis module, a monitoring risk early warning module and a monitoring data BIM model visual output module which are connected in sequence. The workstation comprises a construction unit workstation, a supervision unit workstation, a monitoring unit workstation and a building unit workstation. The WEB client is connected with the cloud data processing platform through the Internet. The mobile client is connected with the cloud data processing platform through a 4G/5G mobile phone card or a wireless network. According to the BIM technology-based foundation pit deformation monitoring synchronous simulation analysis and real-time early warning system, on the basis of the advantages of parameterization, informatization, visualization, simulation, integration and the like of the BIM technology, the technological characteristics comprising the Internet of Things, cloud computing, 5G, WEB/mobile clients and the like are fused, and the real-time, accurate and early warning functions of foundation pit safety supervision and monitoring data information acquisition are achieved.

The invention discloses a construction period safety monitoring and early warning system for ancient seawall reinforcement. The system comprises a monitoring device, a data acquisition device, a monitoring management cloud platform, an alarm device and a terminal, the monitoring device and the data acquisition device are connected through a cable or a wireless network, and the monitoring management cloud platform is connected with the data acquisition device, the alarm device and the terminal. The monitoring device comprises a deformation monitoring device, a seepage monitoring device, a pressure monitoring device, an environmental quantity monitoring device, a vibration monitoring device and a video monitoring device, and is connected with the data acquisition device through a cable or awireless network. Aiming at the ancient seawall reinforcement construction period, advanced technologies such as novel sensing, the Internet of Things and cloud computing are utilized to monitor, analyze and early warn deformation, seepage, environment quantity, vibration conditions and the like of the ancient seawall reinforcement construction period in real time, the safety monitoring real-timeperformance is guaranteed, safety control over the ancient seawall reinforcement construction period is enhanced, and the ancient seawall structure safety is protected.

The invention discloses an irrigation system based on cloud computing of the Internet of Things, including: cloud server, mobile terminal, intelligent gateway, router node and monitoring and control module, the monitoring and control module includes MCU, dust concentration sensor, illuminance sensor, humidity sensor , temperature sensor, infrared sensor and ZigBee terminal node, intelligent gateway includes coordinator node, ARM processor and communication module; dust concentration sensor, illuminance sensor, humidity sensor, temperature sensor, infrared sensor are respectively connected with ZigBee terminal node, ZigBee terminal node Connect with the MCU, the coordinator node and the communication module are connected with the ARM processor respectively, the MCU is connected with the router node through the ZigBee terminal node, the router node is connected with the coordinator node, and the ARM processor is connected with the cloud server through the communication module, The mobile terminal communicates with the cloud server.

The invention provides a lightweight message transmission method for end-to-end intelligent device communication in Internet of Things cloud. In the Internet of Things cloud computing system, the message transmission method comprises two processes of registration and key negotiation and lightweight security message transmission, and has a security key and biological characteristic parameter exchange function, a biological shared parameter and biological key generation function, a lightweight end-to-end intelligent device communication negotiation function and a lightweight message transmissionfunction. According to the invention, the elliptic curve encryption algorithm is adopted to apply the security exchange of the security key and the biological characteristic parameters of the user tothe communication process, so the mutual authentication of response is carried out to prevent attacks and ensure the communication security. In addition, the shared secret key and the temporary session secret key are integrated into random mapping, the message verification code sum is generated and hidden in the cover image to verify the message transmission source of the sender, the safe and low-complexity end-to-end intelligent device message transmission function is achieved, and authentication and integrity of the message are maintained.

The invention relates to a digital visual intercom system based on the Internet of things (IOT). The digital visual intercom system comprises an IOT platform layer, a capability realizing layer and a function application layer. According to the digital visual intercom system based on the IOT, the theory of IOT cloud computing is adopted as an architecture of a digital intercom system, and the digital visual intercom system integrates the functions of a traditional building intercom system, a home security alarm system, an access control one-card-through system, an information release system, a smart home system, a VOIP (Voice Over Internet Protocol) on-demand system and an intelligent high-end device with multiple functions such as community service value adding application service; and an infrastructure of the digital visual intercom system is subjected to optimization and improvement based on a third-generation digital intercom technology, and users can easily access to an IOT cloud platform through an all-optical network by using dedicated intelligent gateway equipment so as to obtain various services on the IOT cloud platform.

The invention discloses an estuary channel water and sediment movement and topographic evolution integral modeling and visualization system, and the implementation scheme and technical route are as follows: collecting hydrological and sediment data and related report data of a research estuary channel region, analyzing the topographic evolution change of the research region, and determining the topographic evolution of the research region according to the on-site hydrological and sediment observation data. And analyzing the movement characteristics of water flow and sediment and the back-silting rule. According to the channel terrain evolution modeling simulation and virtual environment visualization system, through fusion with technologies such as the Internet of Things, cloud computing and big data, ports and piers related to channels can be constructed into modern intelligent ports, the efficiency and the safety degree are greatly improved, and the system is suitable for popularization and application. A worker and a decision maker can check the sediment deposition situation of the channel at any time and monitor the evolution trend of the terrain at the bottom of the channel, so that optimization measures can be taken in advance, economic benefits are improved, and safe and good operation of shipping is guaranteed.

The invention discloses a digital anti-cheating quality inspection management and control system and method for papermaking enterprise raw materials and relates to the technical field of Internet of Things, cloud computing, machine vision AI and automation. The system comprises a raw material quality inspection data comprehensive management platform, a PLC online quality inspection data acquisition and automatic control system, a mobile phone reservation system, an incoming person and certificate identification and entrance guard number calling system, a vehicle intelligent weighing system, awhole vehicle raw material online moisture detection and volume measurement system, a raw material random sampling management device and an unpacking and machine vision impurity detection system, wherein the PLC online quality inspection data acquisition and automatic control system, the mobile phone reservation system, the incoming person and certificate identification and entrance guard number calling system, the vehicle intelligent weighing system, the whole vehicle raw material online moisture detection and volume measurement system, the raw material random sampling management device and the unpacking and machine vision impurity detection system are connected with the raw material quality inspection data comprehensive management platform. Based on the management and control system, anti-cheating quality inspection management and control can be carried out on raw materials of a papermaking enterprise, uneven quality of the raw materials and man-made cheating events can be avoided, automatic management and control are achieved, and the quality inspection efficiency is greatly improved.

The invention relates to the technical field of the cloud computing system, and especially an internet of things cloud computing system. The system comprises multiple sets of terminal electronic equipment; the terminal electronic equipment is used for managing the local computing resource and the local storage resource; a data collection module is arranged in each of the terminal electronic equipment; the data collection module is connected with a data backup module, a data storage module and a local authentication management module through a conductor; the data backup module is used for performing backup saving on the data on the local terminal electronic equipment, thereby preventing loss; the data storage module is used for storing data on the terminal electronic equipment; the local authentication management module is used for the user authentication under the online state, the user verification under an offline state, and the third-party tool interface verification. The interaction between the terminal electronic equipment and the cloud computing center processing module is realized through various ways, and the data processing efficiency is effectively improved.

The invention relates to the technical field of intelligent internet of things cloud computing, in particular to a cloud edge collaboration method based on intelligent edge internet of things. According to the method, first data transmission time in a device data transmission process is obtained through data characteristics of device data received by an edge node; and the edge node performs repetition rate analysis on the equipment data to obtain feature data. And obtaining second data transmission time in the process of transmitting the feature data to the cloud. And classifying the edge nodes according to the feature data and the transmission time features to obtain associated edge nodes. And carrying out data distribution, computing power distribution and transmission parameter distribution among the associated edge nodes. By controlling and adjusting the associated edge nodes, the data processing process of the edge layer is optimized, and the overall safety performance is improved.

The invention relates to a two-level distribution type server oriented architecture (SOA) framework based integration internet of things cloud computing navigation system. The two-level distribution type server SOA framework based integration internet of things cloud computing navigation system is characterized in that powerful perception capability of an internet of things and powerful online service capability of cloud computing are combined to form an analysis module analyzing information and a two-level distribution type server SOA framework of a perception judgment module.

The invention provides an intelligent parking management system based on a cloud platform, and the system employs a six-layer system structure, and comprises an application front-end layer, a software service layer, a platform service layer, a data resource layer, an infrastructure layer, and a network transmission layer. The application front-end layer is used for managing application programs of the intelligent parking management platform and the user terminal; the software service layer is used for executing the parking business of the user and monitoring the business execution progress; the platform service layer is used for providing service components for executing parking business; the data resource layer is used for integrating and executing data in the parking service; the infrastructure layer is used for constructing a smart parking local service network and a cloud service network; and the network transmission layer is used for acquiring the real-time activity data of the parking service by using network transmission equipment. According to the invention, the technology based on the Internet of Things, cloud computing and big data is used, and intelligent supervision is realized around parking lot data access, so that the utilization rate of parking spaces is improved.

The invention discloses a smart energy management system based on edge computing technology, which includes an energy Internet of Things cloud computing layer and an edge computing layer. The edge computing layer includes: a standard protocol support library: supporting power distribution terminal equipment and edge computing Two-way communication at the computing layer; fault monitoring and power adjustment module: support equipment fault monitoring and power adjustment operation in the energy field through various strategies of video codec, data storage, data mapping, self-defined operation logic and self-defined control logic; historical database : Collect the real-time data formed by the edge computing layer through video encoding and decoding, custom computing logic and custom control logic to form a historical database; edge computing layer data push module: responsible for the data interaction between the edge computing layer and the energy IoT cloud computing layer. The invention solves the defects of single function and unsound system architecture of the existing energy management system, and can be widely used in the field of energy data processing.

The invention discloses a highway electromechanical engineering informatization management and control platform and a method thereof. The method aims to solve the universal problems of equipment archiving registration, equipment tracking and tracing and the like in the field of highway electromechanical engineering informatization. The problems are mainly solved by adopting new-generation information technology means such as the Internet of Things, cloud calculation, mobile applications, two-dimensional codes, workflow engines and the like. The electromechanical engineering construction management and control level and efficiency are comprehensively improved; the highway electromechanical engineering informatization management and control platform becomes a comprehensive application platform covering provinces, cities, road sections and standard sections, and aims at achieving electromechanical equipment full-life-cycle management, achieving electromechanical engineering construction standardization and normalization and achieving electromechanical equipment full-life-cycle management and building, management and maintenance integrated application.

The invention relates to the field of long-distance pipeline comprehensive management, and provides a long-distance pipeline comprehensive management system, which comprises a sensing layer used for collecting data of a long-distance pipeline; a network layer used for providing data transmission between the sensing layer and the application layer, and an application layer comprising a pipeline data center and an application platform and used for storing, calculating and analyzing the data in the system. Meanwhile, the invention further provides corresponding long-distance pipeline comprehensive management equipment. According to the invention, the intelligent long-distance pipeline is used as a main body framework, the fusion of technologies such as the Internet of Things, cloud computing,big data and the like and a long-distance pipeline SCADA system is realized, and the pipeline information construction level, the pipeline full-life-cycle data center construction level and the pipeline application system construction level are improved.

The invention provides an Internet-of-Things sensing general control method and system based on cloud computing, and the method comprises the steps: carrying out the calculation of a ventilation quantity distribution matrix and a first physical quantity value distribution matrix of each part according to the ventilation quantity and the first physical quantity value of each part, and solving a ventilation change vector of each part in a public space, and according to the proportional relation between the numerical value of the first physical quantity of each part represented by the numerical value of each dimension in the ventilation change vector and the change quantity of the numerical value of the ventilation quantity, enabling the Internet-of-Things cloud computing server to send the ventilation change vector to ventilation equipment in the Internet of Things as a signal, so that the ventilation quantity of each part is generally controlled and adjusted by the Internet of Things. In this way, the effect that the overall first physical quantity in the public space is adjusted by controlling the ventilation amount of the ventilation devices of all the parts is achieved.

The invention discloses an emergency monitoring system based on Internet of Things cloud computing, which comprises a fixed seat, a limiting sleeve, an environment monitor, a limiting mechanism, a supporting mechanism and a moving mechanism, and is characterized in that the fixed seat is fixedly connected with the limiting sleeve, the limiting sleeve is rectangular, and the environment monitor is slidably connected in the limiting sleeve; two symmetrically distributed limiting mechanisms are arranged on the fixed seat, the limiting mechanisms are clamped with the environment monitor, a supporting mechanism is arranged at the bottom of the fixed seat, and a moving mechanism is arranged at the bottom of the supporting mechanism. The invention relates to an emergency monitoring system based on Internet of Things cloud computing. The emergency monitoring system has the advantages of being stable in supporting and convenient to change positions.

The invention discloses a self-adaptive cutting control system for intelligent ultrathin coal seam mining, which comprises a coal mining machine automatic control system and an ultrathin coal seam automatic fully mechanized coal mining face centralized control system, the coal mining machine automatic control system comprises technologies such as the Internet of Things, cloud computing, big data, artificial intelligence and a thin coal seam working face support electro-hydraulic control system. The centralized control system for the automatic fully-mechanized coal mining face of the ultra-thin coal seam comprises a coal mining machine automatic control system, a hydraulic support automatic control system, a working face video monitoring system, a fully-mechanized coal mining face equipment centralized control system and a coal mining machine three-dimensional positioning and working face automatic alignment system. The self-adaptive cutting control system for intelligent ultrathin coal seam mining solves the problems that an electric control system is low in bus bandwidth, low in communication speed and numerous in product, original automation and electric hydraulic control are organically combined, and a high-speed link is established on a working face.