177 results about "Ambient intelligence" patented technology

The invention discloses an intelligent control system of indoor light environment. The intelligent control system comprises a sensor detection unit, a system management unit, LED (Light Emitting Diode) lamps and an LED lamp driving unit, wherein the sensor detection unit is used for detecting environment information; the system management unit is used for receiving, analyzing and processing the environment information of the sensor detection unit; the LED lamps are used for emitting different color temperatures and illumination intensities; and the LED lamp driving unit is used for receiving a driving signal sent from the system management unit and driving the LED lamps to emit the required color temperatures and illumination intensities according to the driving signals. Factors which affect the biological rhythm of a human body are analyzed and processed, an illumination condition is controlled, a purpose that the indoor light environment is controller along with the change and the switching of seasons, time, weathers and specific applications is realized, a most proper illumination condition is provided for the biological rhythm of the human body so as to cause people to feel relaxed, comfortable and good in spirit, brain activities are accelerated and improved, and working efficiency is improved. Meanwhile, the illumination energy consumption of a building is lowered.

The invention discloses a henhouse micro climatic environment intelligent control system based on a wireless sensor network. The henhouse micro climatic environment intelligent control system is characterized by comprising a henhouse micro climatic environment parameter acquisition and control platform, a henhouse micro climate farming environment cascade control system based on a DRNN PID neural network, and an expert system based on economic optimal reasoning and for setting ideal values of controlled henhouse micro climatic environment parameters. According to the invention, the henhouse micro climatic environment intelligent control system based on the wireless sensor network is designed through the characteristics of multiple parameter variables, nonlinearity, strong coupling and large inertia of conventional henhouse farming micro climatic environment.

The invention provides a light environment intelligent control method based on a neural network. The method comprises following steps of step 1: acquisition of original sample data; step 2: sample preprocessing including 2.1, data conversion and 2.2, data cleaning; step 3: design of a BP neural network: designing an initial structure model of the BP neural network, and training and testing the neural network model by use of sample data obtained in the step 2; and step 4: optimization of the light environment: after obtaining an evaluation function according to the neural network model, establishing an optimization model, solving values to which indexes should reach in the current environment in order to achieve a best light environment, establishing a following optimization model target function: max F = alpha1 P1 + alpha2 P2 + ... + alphan Pn, establishing corresponding constraint conditions for different index requirements according to different environments so as to obtain an optimal solution, substituting data of each index under the obtained optimal value into a system, thereby achieving adaptive control and optimization of the light environment. According to the invention, effects imposed by active facts are avoided and adaptive adjustment is achieved.

The invention discloses a power grid multi-section power automatic control method based on distributed multi-agent reinforcement learning. The method can achieve the autonomous learning of a proper multi-section power control strategy for a complex power grid through the interaction of multiple agents and a power simulation environment. The method comprises the following steps of firstly, N target sections are selected according to the need of power grid control, and basic elements such as an environment, an intelligent agent, an observation state, an action and a reward function of the reinforcement learning method are constructed; secondly, a multi-section power control task interaction environment is operated, and an initial power flow data set is created; then, a decision network and an estimation network based on a deep neural network are constructed for each agent, an MADDPG (multi-agent deep deterministic strategy gradient) model is constructed, and a distributed method is introduced to train an autonomous learning optimal control strategy; and finally, the trained strategy network is applied to perform automatic section control. The method is advantaged in that a complex power grid multi-section power control problem is solved through the multi-agent reinforcement learning method, the control success rate is high, expert experience is not needed, and meanwhile agent training efficiency is greatly improved by introducing the distributed method.

The present invention relates to a kitchen environment intelligent control system and method. The kitchen environment intelligent control system includes an environment air detecting unit, a central processing unit, a human-computer interaction displaying unit, and a communication module. The environment air detecting unit, the human-computer interaction displaying unit and the communication module are connected with the central processing unit. The communication module communicates with a remote control terminal and/or a kitchen appliance. The environment air detecting unit at least includes a peculiar smell and particle detecting apparatus, and a combustible gas detecting device. The central processing unit processes and analyzes the data detected by the environment air detecting unit, receives instructions transmitted by the remote control terminal, and issues control instructions to various kitchen appliances. The human-computer interaction displaying unit includes a parameter setting part, and a data information, work status information and alarm information displaying part. The kitchen environment intelligent control system and method can comprehensively monitor the whole air environment of a kitchen and automatically adjust air quality so that the unified operation and management are realized and the safe and reliable kitchen environment is ensured.

The invention relates to a wireless monitoring node device for a growing environment of greenhouse cucumber by adopting a wireless monitoring method. The device is arranged in a wireless monitoring network of a greenhouse. The device is deployed in the greenhouse crop production field, wherein environment data are acquired through a sensor node, the acquired environment data (leaf temperature, room temperature, soil temperature, soil humidity and illumination value) are sent to a monitoring center, and the data are analyzed based on an expert knowledge base according to different periods of cucumber growth so as to provide appropriate environment parameters. A model performs weight definition on environment parameters of a germination period, a young seedling period, a leaf fling period and a fructification period of the cucumber growth by a fusion algorithm to form a digitalized expression so as to facilitate direct calculation and use of a computer. The device is a wireless monitoring device of a wireless sensing network, is efficient, reliable and convenient to operate, and is used for solving the difficulty in environment monitoring of a whole greenhouse production process by adopting a wireless sensing method.

A system and method for providing an adaptive experience framework for an ambient intelligent environment are disclosed. A particular embodiment includes: detecting as context change in an environment causing a transition to a current temporal context; assigning, by use of is data processor, as task set from a set of contextual tasks, the task set assignment being based on the current temporal context; activating the task set; and dispatching a set or interaction resources, corresponding to the contextual tasks in the task set, to present a state of the current temporal context to a user by use of a plurality of interaction devices corresponding to the set of interaction resources.

The invention discloses a cloud service platform kitchen work environment intelligent alarm method. The method concretely comprises the steps that state parameters in the kitchen work environment are acquired by an induction module; the state parameters are uploaded to a cloud service platform by the communication module in an alarm system; the historical data of the acquired state parameters in the kitchen work environment are enabled to act as training sample data by the cloud service platform so as to establish a user kitchen work environment law model; the abnormal level is set according to the matching degree of the state parameters and the kitchen work environment law model, and an alarm instruction corresponding to the abnormal level is issued; and an alarm control module responds to the alarm instruction and performs emergency processing measures. The acquired state parameters are used, the unique use law of every family is intelligently analyzed through the cloud service platform, and different levels of emergency processing is performed on the gas stove use situations which do not meet the law so that the method and the system which actively discover hidden dangers and actively alarm before the accident can be provided.

The invention relates to an intelligent cinema environment adjustment device. The intelligent cinema environment adjustment device comprises a weight detection module, a plurality of exhaust fans, a plurality of air conditioning devices, a plurality of audio playback speaker devices, a movie projector projecting region adjustment device, a plurality of brackets, a controller device and a display, wherein the controller device is connected with the weight detection module, the exhaust fans, the air conditioning devices, the audio playback speaker devices, the movie projector projecting region adjustment device, the brackets and the display respectively. According to the intelligent cinema environment adjustment device, the number of audiences in a certain region of a lifting grandstand of a cinema can be determined according to judgment results on whether an audience exists on each seat or not, and then, whether services, such as exhausting, air conditioning, audio playback and additional supporting, are required to be provided for the audiences in the certain region or not is decided, so that the playback cost of the cinema is reduced on one hand, the noise interference to the audiences watching movies caused by the operation of equipment is reduced on the other hand, and thus, the comfort during watching is increased.

The invention relates to the field of machine tool cutter remaining life prediction, and discloses a cutter residual life prediction method based on a machine learning regression algorithm. The cutterresidual life prediction method comprises two parts including model training and online life prediction. The model training comprises the steps of collecting original data of a complete life cycle and establishing a corresponding relation with the actual life of a cutter, preprocessing signals, extracting signal features to form feature vectors, performing cross validation to obtain an optimal cutter life model, and performing hyper-parameter adjustment and optimization. The online life prediction comprises real-time data acquisition, signal preprocessing, signal feature extraction to form afeature vector, input of THE optimal cutter life model based on optimal hyper-parameters and output of the residual life of the cutter. The number of eigenvalues extracted from each channel during model training is large, so that the training precision is high, the residual life of the cutter is accurately predicted, a residual life intelligent prediction model of the cutter is established, different regression models can be intelligently selected according to different working condition environments, and the model is good in generalization performance and high in portability.

The invention discloses an intelligent remote vegetable cellar environment monitoring system based on multi-sensor information fusion. The system comprises a server, wherein the sever is connected with a main controller, the main controller is separately connected with an environment equipment controller and intelligent nodes, the environment equipment controller is connected with environment equipment, and the intelligent nodes are further connected with sensors. Through the system, humiture and carbon dioxide concentration of a vegetable cellar are monitored through the intelligent sensors, temperature and humidity for vegetable preservation are adjusted in an air convection mode according to different preservation environment requirements of different vegetable kinds, the acquired humiture big data and vegetable preservation conditions are recorded and compared, the humiture and carbon dioxide values for vegetable preservation are corrected, and a purpose of refined vegetable preservation is realized.

The invention discloses a constructional engineering construction operation environment intelligent monitoring system based on big data. The constructional engineering construction operation environment intelligent monitoring system comprises a data collection module, a data preprocessing module, a dust fall coefficient analysis module, a data input module, a noise analysis module, a management database, a central server, a adjustment and control module, an early warning module and a display terminal. According to the constructional engineering construction operation environment intelligent monitoring system based on big data, the dust data collection and processing which are vertically distributed in space and noise data collection and processing which are horizontally distributed in space in the circumferential direction are respectively adopted in a building construction operation site; the dust fall coefficient and the noise proportionality coefficient of building construction siteoperation are analyzed, water spraying dust fall and noise early warning are carried out, the accuracy of collecting the dust concentration and the noise amount of the building construction site operation is improved, the environment of the building construction site operation is optimized, and the body health of building construction personnel is protected.

The invention discloses a power grid recoverability assessment method based on a multi-agent technology. The method comprises the following steps: a dynamic frame model of a multi-agent-based power grid recoverability assessment factor is constructed, wherein the dynamic frame mode at least comprises a recoverability index intelligent agent alliance, a disaster-pregnant environment intelligent agent alliance and a supporting body intelligent agent alliance; and intelligent agent assessment models matching the intelligent agent alliances are established respectively, and the intelligent agent assessment models can input power grid information of a preset monitoring area in advance and repeatedly perform the following process in a determined assessment time interval after a disaster occurs until a power grid of a disaster area back to normal power supply, wherein the process is as follows: disaster data is obtained in real time, recoverability is scored and saved after data abstraction is performed on a current condition of the power grid of the disaster area, and a recovery motion is performed on the power grid of the disaster area through a rule base. Real-time dynamic assessment for recoverability of a dynamic process of failure recovery is achieved.

The invention relates to an intelligent cinema environment adjustment method. The method comprises the steps of: respectively connecting a controller device with weight detection modules, a plurality of exhaust fans, a plurality of air conditioning devices, a plurality of audio playing speaker devices, a film projector projection region adjusting device, a plurality of brackets and a display, judging whether an audience sits on each seat of a lifting movable grandstand of a cinema or not according to the output of the weight detection modules, determining the operation on the exhaust fans, the air conditioning devices, the audio playing speaker devices, the film projector projection region adjusting device and the brackets according to judgment results, and displaying the information related to the operation on the display. Through the intelligent cinema environment adjustment method, the number of audiences in one region of the lifting movable grandstand of the cinema can be determined according to the result of judgment on whether the audiences sit on all seats so as to decide on whether services of air exhausting, air conditioning, audio playing and additional supporting are required for being supplied to the audiences in the region, on one hand, the playing cost of the cinema is saved, and on the other hand, the noise interference to the audiences seeing films caused by equipment operation is reduced, so that the comfort during film seeing is increased.

The present invention discloses a wireless sensor network-based silkworm rearing room environment intelligent monitoring system and method. The system comprises a plurality of sensor nodes, a gateway module, a monitoring module, an upper computer module, a cloud server module and a mobile phone APP module. The sensor nodes and the gateway module are connected via a Zigbee network, one end of the gateway module is connected with the upper computer module via a serial port, and the other end is connected with the cloud server module in a wireless manner. The monitoring module is connected with the mobile phone APP module via an internet. The system and the method of the present invention transmit the data via a wireless sensor network, the WIFI, a WLAN and the internet, guarantee the reliability, the real-time performance and the wide area performance of the transmission, and monitor a silkworm rearing room environment real-timely.

The invention provides a police helmet with intelligent temperature sensing and adjusting functions, belongs to the technical field of helmets, and aims to solve the problem of low on-duty efficiency caused by inconvenience in use of existing police helmets. The police helmet comprises a helmet shell and a fastening strip structure which is mounted on the helmet shell and used for being fastened on the neck. The police helmet is characterized in that an intelligent luminance sensing and adjusting device is mounted on the helmet shell and comprises an intelligent processor, a photosensitive sensor and a lamp set with lighting lamps; the photosensitive sensor and the lamp set are connected with the intelligent processor and mounted at the front end of the helmet shell; the photosensitive sensor can detect light ray intensity at the front end of the helmet body in real time and transmit converted voltage signals to the intelligent processor; the intelligent processor controls on or off of the lighting lamps according to the received voltage signals. The police helmet has the advantage of improving on-duty efficiency.

The invention discloses a cabin environment intelligent control system based on electroencephalogram analysis. The cabin environment intelligent control system comprises an in-vehicle environment perception module, an in-vehicle air quality analysis module, an electroencephalograph monitoring module, an electroencephalogram analysis module, a control system module, and an execution system module.According to the cabin environment intelligent control system based on electroencephalogram analysis, cabin environmental parameters and electroencephalogram are coupled to be analyzed, analysis of human behavior information of a driver is integrated while the cabin environmental parameters are monitored, relevant parameters of the mental state and the degree of attention focusing of the current state of the driver are obtained, sources of environmental factors affecting the mental state of the driver are judged with the help of the environmental parameters, then through decision optimization,the optimal in-vehicle environment control scheme is obtained, thus executive components such as an in-vehicle air conditioner ventilation device, a purification device and a music lighting system work synergistically, the cabin environment can be adjusted in real time according to the driving experience of each driver, and the intelligent degree of air quality control inside a vehicle is improved.

The present invention provides a wisdom garden management system. The system comprises: a data layer module configured to obtain wisdom garden data and store the wisdom garden data to a wisdom gardendatabase; a service layer module configured to publish the wisdom garden data in the wisdom garden database as service information through middleware; and an application layer module configured to generate a computing instruction according to the service information. Correspondingly, the invention further provides a wisdom garden management method. The wisdom garden management system and method changes a traditional urban garden labor management mode, and change manual pipe-dragging spray irrigation at fixed time and fixed places to a mode of intelligent control of sprayer spraying according to the newest actual measurement environment so as to achieve accurate irrigation, save human cost, improve water resource utilization rate and achieve urban garden low-carbon management.

The invention relates to the technical field of electric power channel monitoring, in particular to an intelligent monitoring system for an electric power channel environment based on a LoRa technology. Environment information in the electric power channel environment and operation rate information of important parts such as a cable and a cable intermediate joint can be continuously and dynamically collected in real time, and the collected information is separately sent to an intelligent execution mechanism and a far-end monitoring center or a mobile monitoring terminal. Based on the operationstate, fed back by a monitoring system, of an on-site electric power transmission line, the intelligent execution mechanism can automatically start, stop or execute other operation according to preset operation conditions, and can also receive a far-end execution command to conduct the corresponding operation on environment adjustment, and therefore the operation state or environment of the electric power transmission line in an electric power channel is improved. The invention further provides multi-data fusion three-phase imbalance regulation control method based on the above intelligent monitoring system. The operation environment of the electric power transmission line in the electric power channel can be effectively improved.

The invention provides a mangrove forest growth environment intelligent monitoring system based on the WSN technology. The mangrove forest growth environment intelligent monitoring system comprises asensing monitoring device, base station equipment and a mangrove forest growth environment monitoring center, wherein the sensing monitoring device comprises a plurality of sensor nodes deployed in ato-be-monitored mangrove forest growth environment area, and the sensor nodes monitors the mangrove forest growth environment and transmits the acquired mangrove forest growth environment monitoring data to the base station equipment; the base station equipment converges the mangrove forest growth environment monitoring data transmitted by the sensor nodes, processes the data and then forwards theprocessed data to the mangrove forest growth environment monitoring center; the mangrove forest growth environment monitoring center is used for analyzing, processing and displaying the mangrove forest growth environment monitoring data transmitted by the base station equipment and giving out an alarm when the mangrove forest growth environment monitoring data is abnormal. By the mangrove forestgrowth environment intelligent monitoring system, intelligent monitoring of the mangrove forest growth environment states is achieved by using the wireless sensor network technology.