16 results about "Smart environment" patented technology

This invention provides an intelligent reminder method, device, and system for real-time noise detection and peripheral visual interaction, belonging to the field of human-computer interaction and intelligent environment technology. The invention uses a preset dual noise threshold and configures multimodal interactive device working mode switching rules. It collects ambient sound signals using an analog sound sensor and maps them to real-time decibel values ​​via an exponential conversion function. The real-time decibel value is compared with the dual thresholds to trigger a phased visual and tactile multimodal feedback strategy. Simultaneously, a supporting APP enables data interaction between the device and the cloud, completing multi-dimensional visual display, statistical analysis, and report generation of noise data. It also supports remote device control, personalized threshold settings, and non-confrontational social sharing of noise data reports. The invention also designs an integrated intelligent reminder device with a unified housing, integrating sound sensing, processing control, multimodal feedback, magnetic attraction, and Type-C power supply modules, enabling flexible switching between desk lamp, ambient light, decibel monitoring, and composite modes.

The present application relates to the technical field of environmental monitoring, and more particularly to an intelligent environmental monitoring system for printing and dyeing auxiliary production, which comprises a visual monitoring module, a gas monitoring module, a water quality monitoring module, a decision module and a report module; the visual monitoring module is used for collecting image data of a reaction device; the gas monitoring module is used for collecting gas data of a production environment; the water quality monitoring module is used for collecting water quality data of printing and dyeing auxiliary production wastewater; after the image data, the gas data and the water quality data are processed by the decision module, environmental monitoring data are obtained through model analysis of the decision module; and the report module produces a monitoring report according to the environmental monitoring data. The method can systematically monitor the overall environment and provide prediction of environmental changes.

This invention discloses an interactive system and method for monitoring young children in a smart car based on a children's smartwatch and a child safety seat. The system includes a children's smartwatch, a child safety seat, an in-vehicle information system, and a guardian's mobile app. The children's smartwatch collects and wirelessly transmits physiological data such as the child's heart rate, body temperature, acceleration, and blood oxygen saturation. The child safety seat detects the ISOFIX locking status, seatbelt buckle status, seat orientation, and temperature and humidity in the seat area. The in-vehicle information system performs time-series alignment and decision-level fusion analysis with the above data and vehicle driving data to identify whether the child is in an uncomfortable state, and triggers tiered warnings and linkage control systems to execute intervention actions based on the identification results. The guardian's mobile app is used for remote monitoring and control. This invention achieves multi-dimensional perception of the young child's physiological state, vehicle-machine collaborative warnings, and intelligent environmental adjustment.

This invention discloses a cloud-based collaborative method and system for optimizing the laying hen farming environment, relating to the fields of intelligent environmental regulation and cloud-based collaborative control in livestock and poultry. The method includes deploying environmental and production data collection points within the laying hen house; continuously collecting operational data according to a unified time benchmark and uploading it to a cloud server; comparing target intervals and calculating the duration of compliance to construct time-series indicators characterizing the hen house environment; constructing structured strategy data and distributing it to the field controller; the field controller executing ventilation, sprinkler, heating, and lighting adjustments according to the strategy; and the cloud server receiving and analyzing the execution data and environmental data feedback, adjusting strategy parameters and triggering conditions based on strategy performance. The method described in this invention achieves environmental stability, reduced deviations, and lower energy consumption through cloud-based collaborative strategy regulation, and continuously iterates and optimizes control parameters based on operational data, thereby improving laying hen production performance and management efficiency.

1. The name of the design product: intelligent environment monitor. 2. The use of the design product: for environmental monitoring. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This application relates to an intelligent environmental collaborative control method and system for plant cultivation in confined spaces. The method includes: collecting multidimensional environmental and plant phenotypic data to generate an input state vector containing the errors and rates of change of each parameter; inputting the input state vector in parallel into a fuzzy controller with a built-in coupled rule base, and outputting a preliminary decision vector through inference; using an improved particle swarm optimization algorithm with time multiplication by the integral of absolute error as the objective to optimize the quantization factor and scaling factor of the fuzzy controller, generating a control decision vector; addressing system feedback delay by connecting Smith predictors in parallel to each loop, utilizing delay-free predictive output to participate in feedback regulation in advance, eliminating lag effects, and obtaining a compensated final control command vector; monitoring photovoltaic power generation and battery status, running a variable-step MPPT algorithm to calculate available power, and if power supply is insufficient, initiating an energy consumption optimization strategy to adjust the load or regenerating and executing commands.

This invention discloses a multi-source management method and system for smart communities, relating to the field of multi-source management in smart communities, for realizing differentiated resource scheduling based on individual sensitivity. The method includes: upon sensing external environmental fluctuation events, acquiring changes in the operating status of intelligent environmental control equipment within a resident unit; the external environmental fluctuation events are determined based on the fluctuation amplitude of external environmental parameters; assessing the response intensity of the resident unit to the external environmental fluctuation events based on the changes in operating status; determining the environmental sensitivity corresponding to the response intensity from a preset mapping relationship as the environmental sensitivity of the resident unit based on the response intensity; the preset mapping relationship includes mapping relationships between different response intensities and different environmental sensitivities; and scheduling resources for the resident unit based on the environmental sensitivity.

The application is suitable for the field of air purification technology, and provides an intelligent environmental air cleaning and purifying method, system, terminal device and storage medium. After being triggered and started, the global mobile cleaning path is planned according to space information, so that the spatial coverage integrity and action efficiency of the cleaning operation are ensured. Then, while moving along the path to perform basic cleaning, multi-source environmental state information is acquired and fused in real time, and the basic cleaning strategy is dynamically adjusted online accordingly, so that the system can actively adapt to the differentiated pollution conditions and dynamically changing environmental elements in different areas, thereby significantly improving the pertinence, overall efficiency and environmental adaptability of cleaning and purification without manual intervention.

This disclosure provides a force sensor primarily used for vibration, contact, and force sensing in large areas of interest, featuring a small number of transducers. The disclosure includes a pressure transducer based on molecular electronic transducer technology, integrated with an elastic tube structure. This disclosure can be used to construct intelligent environments for applications such as robotic contact sensing and sleep monitoring.

Provide a system. 【Solution means】 An input means for inputting the purpose information of the meeting, A generation means for generating predicted topics based on the input purpose information, A presentation means for presenting the generated predicted topics, An analysis means for analyzing the voices of participants during the meeting and supporting the progress of the meeting, A voice recognition means for converting the voice data during the meeting into text data and monitoring the speech, An arrangement means for automatically arranging the determined matters after the meeting and generating a meeting minutes, A sharing means for sharing the generated meeting minutes with the participants, An information providing means for integrating smart environment information for improving the efficiency of meetings related to urban planning and social management and presenting relevant information, A system including the above.

Technologies are disclosed for a condition monitoring system configured to monitor one or more characteristics of one or more subjects in a delimited area. First sensor devices are disposed in one or more substantially stationary locations proximate to the delimited area. The one or more first sensor devices capture a first data corresponding to the one or more subjects. Second sensor devices are disposed in one or more substantially non-stationary locations proximate to the delimited area. The second sensor devices capture a second data corresponding to the one or more subjects. A control device receives and processes signals corresponding to the first data and / or the second data to determine first characteristics, second characteristics, and / or first secondary characteristics of the one or more subjects. The first characteristics, the second characteristics, and / or the first secondary characteristics are output for display and / or further processing.

The application relates to the field of intelligent environment control and emergency management systems, and particularly discloses a multi-source environment parameter adaptive collaborative regulation and emergency response system. The system comprises a multi-source environment sensing device, a digital twin modeling engine, an intelligent decision-making hub, a bionic collaborative execution mechanism and an emergency response feedback unit; a dynamic digital twin is constructed through a high-fidelity fluid mechanics model, a regulation strategy is optimized in a virtual environment in combination with deep reinforcement learning, and a centerless collaboration of a distributed execution unit is realized by using a bionic swarm intelligence mechanism; when the actual state and the prediction deviation are out of limits, an emergency response unit triggers a correction or a safety plan in stages. The application improves the regulation accuracy, response speed and operation robustness of the system in a complex nonlinear environment through the above technical scheme.