116 results about "Smart environment" patented technology

A method and system for providing selective access to appliances by terminals in a smart environment is provided. Each terminal and appliance is assigned a unique identification code (UID). Appliances and terminals wirelessly transmit their UID and receive UIDs transmitted by other appliances and terminals. Upon receiving a terminal's UID, an appliance queries a database to determine whether the terminal is authorized to control that appliance based on authorization information stored in the database. An owner may be notified if a terminal without authorization attempts to control an appliance or enters the environment. When a previously unauthorized user, local to the environment, desires access to the smart environment while the owner(s) is away from the environment, a request may be securely transmitted to an owner at his or her remote location. The owner may grant access to one or more appliances, and securely transmit the authorization back to the local user. Upon receipt of the authorization, the local user may control the appliance(s).

The invention provides intelligent environmental noise and vibration monitoring device and method. The device and method are characterized in that equivalent traffic flow and vehicle speed and other parameters of the road traffic in the monitoring period can be converted by a recommending device or system while the environmental noise and the road traffic noise indexes can be measured through the general sound level meter or a statistic analyzing device and a plurality of index values of the noise are measured; therefore, the field investigation of the road traffic noise can be performed conveniently; meanwhile, an FPGA (Field Programmable Gate Array) embedded system can be used for continuously expanding other synchronous detection functions of the environmental noise, so as to realize an intelligent system.

The invention discloses a system and method for intelligently adjusting an environment. The system for intelligently adjusting the environment can judge requirement information of a detected outside environment for environment adjustment equipment more accurately by taking various environment parameters (human activities, illuminance, humidity and temperature) in the environment as an adjustment basis, so that the on/off, the power and the like of the environment adjustment equipment is determined, and aims of saving energy and improving the quality of people's life are fulfilled.

The invention discloses a campus big data-oriented visual analysis method. The method comprises the steps of classifying collected original campus big data into an environment service class, a teaching service class, a management service class and the like according to functions and characteristics, and performing transmission and storage; performing preprocessing of cleaning, conversion, integration and the like to form a campus big data basic platform; and according to data characteristics and an application direction, selecting a proper data processing algorithm and a visual expression mode, fusing the data characteristics, discovering knowledge hidden in the big data, and proposing a thermodynamic flow map-based smart environment service, embedded tree graph-based smart teaching service and event aggregation graph-based smart management service big data visual analysis method, thereby assisting in smart teaching, smart management and smart decision. Through the method, various information in the campus big data can be comprehensively analyzed and mined; a conventional data chart mode is abandoned; and more effective decision channels are opened up for school work in various aspects through an intuitive and novel visual graph.

The invention specifically discloses smart unmanned mobile cultivation equipment. The smart unmanned mobile cultivation equipment comprises at least a vehicle chassis and a vehicle body; smart mechanical equipment applied in the field of agricultural planting or cultivation is arranged on the vehicle body; a driverless automatic walking system is arranged on the vehicle chassis; the smart mechanical equipment comprises a smart seeding machine, a nutrient element measuring instrument, a smart fertilizer applicator, a smart environment detecting system, a smart robot arm and a central control processor connected with the smart mechanical equipment; the central control processor comprises a database system; through the agricultural smart equipment based on a self-driven driverless technology,the productivity is greatly liberated, the agricultural economic benefits and the social economic benefits are improved, production conditions are created for the improvement of the agricultural production level, and finally contributions are made for the promotion of the rapid and stable development of the Chinese national economy.

The invention discloses an intelligent home control system and a construction method thereof. The intelligent home control system comprises a new energy control device (1), an Internet of Things household appliance control device (2), an intelligent environmental control device (3), a home entertainment and security device (4), and an intelligent control terminal (5). The intelligent home control system and the construction method thereof are characterized in that the new energy control device (1), the Internet of Things household appliance control device (2), the intelligent environmental control device (3), the home entertainment and security device (4) are respectively connected with the intelligent control terminal (5) in a wired or a wireless mode. According to a detection and control structure of the intelligent control terminal (5), (1), energy information in the Internet of Things household appliance control device, the intelligent environmental control device and the new energy control device is controlled and inquired; (2), the home entertainment and security device is interconnected with a digital device through an interface; and (3), control software is used for achieving coordination work of the new energy control device (1), the Internet of Things household appliance control device (2), the intelligent environmental control device (3) and the intelligent control terminal (5). The intelligent home control system and the construction method thereof are capable of improving controllability and usability of household appliances, and possessing the effects of coordinating working time and modes of the household appliances and the like.

The invention belongs to the field of auxiliary electrical devices in a substation, and relates to refrigeration cooling equipment in the substation, in particular to an indoor dust-free ventilation inner and outer circulation device, which comprises an intelligent environmental safeguard box placed in the substation, and is characterized in that an air outlet is arranged on one side wall of the substation, and an indoor temperature sensor is arranged on the air outlet; an intelligent environmental safeguard system is arranged on the other side wall of the substation, and an outdoor temperature sensor is arranged on a fresh air inlet door of the intelligent environmental safeguard system; and the air outlet, the indoor temperature sensor and the outdoor temperature sensor are connected with the intelligent environmental safeguard box through leads. A fan is matched with an air conditioner to be used, so that the indoor temperature of the substation can be reduced more quickly under the assistance of the temperature sensors, and meanwhile, the purpose of saving power of the air conditioner is achieved, and the operating cost of the substation is effectively saved.

The invention relates to a group evolution method based on ACP theory under CPSS, belonging to the field of social computing and communication information technology. The technical proposal of the invention comprises the following steps: firstly, defining the node relationship in the social network and quantifying three main influencing factors of the social relationship, including the intimacy degree, the trust degree and the individual persistence degree among the individuals, so as to obtain the herd degree of the individuals. Secondly, the model of group evolutionary game is established, including the game process between individuals and the behavior renewal rules after individual game. Finally, Q reinforcement learning algorithm is introduced to guide the agent to constantly learn andupdate strategies. The invention provides a realizable dynamic model research method for studying the evacuation law of a swarm in a future intelligent environment.

The invention discloses an industrial park smart environment supervision system based on a cloud platform technology, which comprises an environmental supervision cloud platform, a pollution source online monitoring subsystem, a pollution control device operation condition monitoring subsystem and a key area monitoring subsystem, wherein the environmental supervision cloud platform is connected with the pollution source online monitoring subsystem, the pollution control device operation condition monitoring subsystem and the key area monitoring subsystem through a remote communication module.A field monitoring technology with three in one is adopted; through real-time and online monitoring on the pollution source emission and the device operation condition, real-time video monitoring is carried out on the key area; and the online monitoring data and the video image are effectively combined through the platform, the pollution source data, the operation condition data and the video image are used to realize uniformed supervision on a supervision enterprise.

A method and system is provided for optimizing time and complexity during an interoperation of at least two smart sensing device's operating in a heterogeneous environment, each device is configured to predetermined characteristics for a heterogeneous environment with a dynamic degree of prioritization in interoperation. The said method and system is adapted for creation of generic device attributes for smart sensing devices by an edge gateway system during the device discovery phase and at the same time performing semantic analysis on the content of the attributes to optimize the device interoperation mechanism in any smart environment.

The invention provides a method and a device for handling with task planning and execution exception of a mobile robot, and relates to mobile robot operation under a distributed intelligent environment, so as to cope with abnormal conditions occurring to robot system operation. The method provided by the invention mainly comprises the following steps of: step 1, detecting and coping with task planning failure; step 2, detecting and coping with behavior distribution failure; and step 3, detecting and coping with behavior execution failure. According to the method for handling with task planning and execution exception of the mobile robot, the characteristics of the intelligent environment are comprehensively considered, task planning and execution exception is coped from the aspects of scientific research and market requirements, so that the method provided by the invention is capable of effectively improving the robustness and vigorousness of the system.

The invention relates to a computer-based intelligent environmental control system of greenhouse. The computer-based intelligent environmental control system comprises a sensor group, a wireless communication module, a microcontroller, a remote terminal, control equipment, a crop monitoring module and a pesticide spraying device, wherein the crop monitoring module comprises a high-definition camera, an infrared detector and a warning unit, the pesticide spraying device is arranged at the top of the greenhouse, a solenoid valve is arranged at the pesticide spraying device, the sensor group is connected with an input end of the microcontroller, an output end of the microcontroller is connected with control equipment, the remote terminal is wirelessly connected with the microcontroller by thewireless communication module, the crop monitoring module is connected with an input end of the microcontroller, the solenoid valve is connected with an output end of the microcontroller. By the system, an environmental parameter in the greenhouse can be monitored in real time and controlled remotely, meanwhile, the crop growth state can be monitored in real time, pesticide can be automatically sprayed to kill insects when insects on crop are monitored, the insects are timely handled, and the crop growth is effectively guaranteed.

The present invention relates to a Windows CE embedded system based concentrator with environmental measurement, and especially a concentrator with environmental monitoring function. The concentrator comprises an embedded processor, and is characterized in that the embedded processor is connected with a sensor to obtain environment absolute atmospheric pressure, altitude and temperature data. The concentrator with intelligent environmental monitoring function provided by the invention is mainly used for collecting characteristics of system running state, success rate of meter reading, loss of data and AC analog quantity, and finally analyzing optimum parameters by using a BP neural network according to the collected characteristics, so as to enhance operation stability of the concentrator, and improve success rate of meter reading and acquisition accuracy of AC analog quantity. Therefore, the functions of improving operation stability of the concentrator and success rate of meter reading and enhancing acquisition accuracy of the AC analog quantity are realized. The concentrator also transmits collected characteristics to a master station platform through network for further analysis by the master station platform.

The invention relates to an intelligent bus station for convenience and benefits of people. The bus station comprises an electronic bus station brand system, a solar photovoltaic power generation subsystem, an intelligent environmental monitoring and control subsystem and a monitoring center, the electronic bus station brand system comprises an LED display module, a ZigBee module, a GPRS module and a voice broadcast module which are jointly controlled by a single-chip microcomputer, the intelligent environmental monitoring and control subsystem includes an air purification module, a temperature and humidity sensor, an automatic spray dust decreasing cooler and a waste water purification collection module, the whole intelligent environmental monitoring and control subsystem is controlled bythe single-chip microcomputer, the solar photovoltaic power generation subsystem supplies power for the entire intelligent bus station, and includes a solar photovoltaic panel, a solar control circuit and a storage battery, the storage battery is connected to a charging pile of the station through a transformer to achieve shared charging, and the monitoring center remotely monitors the bus station and buses through the GPRS module. Waste water is collected by the station to reduce dust and temperature, and the flexible solar panel is used for generating and supplying electricity to achieve real benefits and convenience for the people.

Disclosed is a panoramic data monitoring platform. An intelligent monitoring platform main station is arranged in a communication machine room of a power supply company, and transformer substations, power stations, office building and machine rooms are provided with data access for on-site sensing devices such as intelligent digital video monitors, intelligent security and firefighting alarms, intelligent entrance guards and intelligent environment monitors. The on-site devices are connectively converged into the intelligent monitoring main station via internal optical fiber network in the power supply company. The panoramic data monitoring platform is complete in function and has the functions of automatic tracking and inspecting, panoramic data linkage, intelligent visible going-in and -out management, one-key tour inspection at the monitoring center, emergency remote door opening control, intelligent guarding, automatic tour inspection, fixed-time remote lamp control and the like, and integration and intelligent linkage of an intelligent digital video monitoring system, an intelligent security alarm system, an intelligent entrance guard system and an intelligent environment monitoring system are realized; and intensive storage and separated lookup of the data, separate alarm and multi-authority management are realized.

The invention relates to a smart home monitoring system, including a smart home monitoring platform, a remote client, a communication system, a control unit, a power supply module, an alarm module, a keyboard, a detection module, a smart home control system, an intelligent environment monitoring system, and an intelligent community control system. system, the control unit includes a master controller and a slave controller, the keyboard and the detection module are respectively electrically connected to the slave controller, and the master controller is respectively connected to the smart home monitoring platform, the alarm module, and the smart home The control system, the intelligent environment monitoring system, and the intelligent community control system are electrically connected, the power supply module supplies power to the control unit, and the remote client communicates with the main controller through a communication system. The invention can improve people's living comfort and people's real-time monitoring of family conditions at any time.

The invention discloses a smart home decision-making method based on a Markov logic network. The method can be used for solving the problem of uncertainty of intelligent control achieved according touser preferences and environment temperature after a user sends out voice control and natural language processing is conducted, and the uncertainty of the method is due to the fact that evidences provided in the decision making process, namely environment information, are fuzzy. Application of Markov logic network module is the core of the whole method, and the final purpose of realizing decisionmodeling by using an influence graph is realized. According to the method, the weight corresponding to each decision rule is calculated according to parameter learning of the Markov logic network, aninfluence graph model in a specific scene is realized, the maximum expected utility of each decision is calculated, a decision framework in an uncertain intelligent environment is expanded, and the probability of adopting an optimal decision is improved.

The invention belongs to the technical field of intelligent buildings, and discloses an intelligent environment management system and method. The system comprises a processor, an air conditioner control module and a detection module, wherein the detection module and the air conditioner control module are connected with the processor; the detection module acquires current environment information and sends the current environment information to the processor; the processor acquires current time information, determines a control signal according to the current time information and the current environment information, and sends the control signal to the air conditioner control module; and the air conditioner control module controls the air conditioner to be turned on or turned off according to the control signal. By means of the mode, whether the air conditioner is turned on or turned off is determined by combining the environment information acquired by the detection module and the current time information, so that automation of building management is improved, automatic and unified control over the air conditioner is achieved, the environment quality in a building is improved, and a more comfortable environment is provided for a user.

The invention provides an automatic spraying control method and system for intelligent environment improvement equipment, and the method comprises the following steps: receiving a control instruction,and obtaining a function mode of the intelligent environment improvement equipment according to the control instruction; acquiring current time, and judging whether the current time is between presetstarting time and stopping time or not; and if the current time is between the preset starting time and the preset stopping time, starting the intelligent environment improvement equipment to performspraying according to a level corresponding to the obtained function mode, timing spraying of the intelligent environment improvement equipment, and controlling the intelligent environment improvement equipment to perform intermittent cycle work according to the spraying time of the intelligent environment improvement equipment. Therefore, the intelligent environment improvement equipment is remotely controlled to perform automatic spraying according to different mist amount levels, manual interference is not needed after starting, and the user experience is greatly improved.

The invention discloses a home service robot system under an intelligent environment and a working method. The intelligent environment comprises a public cloud, a private cloud and intelligent devices, wherein the public cloud implements interaction and processing of shared information; the private cloud stores and processes privacy information of a user; the intelligent devices are distributed ina home environment and provide a service and related information for the user and robots; the home service robot system comprises a waiting mode, a scheduling module, an execution module and an evaluation mode; and the multiple modes of the home service robots can perform collaborative cooperation and automatic conversion in work. According to the home service robot system under the intelligent environment provided by the invention, while the robots "go to the battle-front without any burden", own energy consumption further can be reduced to the greatest extent; and in addition, the home service robot system not only has a strong computing power, but also can guarantee the security of personal information of the user; and a more superior service can be implemented and provided for the user.