40 results about "Smart environment" patented technology

The invention relates to the technical field of greenhouse vegetable planting environment regulation and control, in particular to an internet-based intelligent greenhouse vegetable environment regulation and control system and method, which comprises an acquisition module, a monitoring module, an analysis module, a decision module, an execution control module and a mobile terminal interaction module, in combination with a preset successive cropping obstacle threshold model, analyzing to obtain the soil secondary salinization degree, the nutritional imbalance state, the microflora disorder index and the allelochemical toxicity grade; and the decision module is used for generating a comprehensive regulation and control strategy including crop rotation suggestions, irrigation amount, a fertilization scheme, biological control measures and environmental parameter regulation instructions in combination with facility vegetable types and growth stage requirements. A continuous cropping obstacle analysis result is obtained through the analysis module in combination with big data and a machine learning algorithm, a comprehensive regulation and control strategy is generated, continuous cropping obstacles are effectively dealt with, and the planting efficiency and the vegetable quality are improved.

The utility model relates to the field of air conditioner control systems, in particular to a multi-group air conditioner control system which comprises a centralized controller and an extension set, and the extension set is electrically connected with the centralized controller; the extension set is also externally connected with an intelligent environment sensing assembly, and the intelligent environment sensing assembly is electrically connected with the extension set; and remote control and upgrade modules are arranged in the integrated controller and the extension sets. Through cooperation of the integrated controller and the extension set, the intelligent environment sensing assembly and the remote control and upgrade module are combined, accurate and efficient control over the air conditioner system is achieved, the energy utilization efficiency is improved, and the flexibility and the intelligent degree of the system are enhanced.

The present invention relates to a device or method for controlling a smart environment, which efficiently controls a smart device using a semantic control model (such as a generative artificial intelligence (AI) or machine learning (ML) model), and the smart device is configured to store the semantic control model. Furthermore, the smart device can be configured to receive prompts and apply the received prompts to the stored semantic control model in order to derive and reproduce smart device settings.

The invention discloses a cloud mobile phone testing system and method based on an ARM native architecture and intelligent environment arrangement, and relates to the technical field of automatic testing, and the method comprises the steps: obtaining an operation node based on a dynamic scheduling plan, matching an Android container mirror image from an Android container mirror image warehouse according to a multi-dimensional parameter in a Kubernetes framework, pulling the Android container mirror image to the operation node, and carrying out the cloud mobile phone testing according to the operation node. The method comprises the following steps: acquiring an Android container instance by instantiating an Android container mirror image, mounting an application installation package, an automatic test script and a data acquisition agent, constructing a cloud mobile phone test environment, running the automatic test script in the cloud mobile phone test environment, controlling a cloud mobile phone to simulate a real user behavior, and acquiring multi-modal test data and storing the multi-modal test data as an original test data set; the automation degree, the efficiency and the resource utilization rate of cloud mobile phone testing are improved, and the requirements under different hardware and software environments are met.

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.

A processor may receive an air dataset associated with a smart environment having one or more storage objects. The processor may simulate the smart environment using the air dataset. The processor may apply an optimization criteria to the simulation of the smart environment. The processor may generate an optimum smart environment design associated with an improved air condition level of the smart environment and the optimization criteria.

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.

An object of a system according to an embodiment is to integrally analyze a plurality of health data and detect a health risk at an early stage.SOLUTION: In accordance with an embodiment, a system comprises an environmental sensor, a wearable device, a smartmat, a diet tracking camera, an audio sensor, and a multi-modal AI. The environment sensor measures room temperature and humidity. The wearable device records heart rate and activity. The SmartMat tracks weight changes and movements. The diet tracking camera visualizes dietary habits. The audio sensor picks up the indication of the mental state. The multi-modal AI can comprehensively analyze the environmental sensor, the wearable device, the smart mat, the diet tracking camera, and the audio sensor to detect health risks at an early stage and send an alert to notify the user.SELECTED DRAWING: Figure 1

The present application relates to the technical field of intelligent environment management, in particular to an office environment management method based on data fusion. The present application realizes fine perception of the problem of uneven heat distribution in the office area by constructing a two-dimensional thermal gradient mapping sequence containing specific direction and change amplitude, and is no longer limited to passive response to a single temperature value, then combines and quantizes the real-time energy consumption of the air supply equipment with the local temperature difference in the gradient sequence to generate a control load index and sort it, so as to establish the priority of equipment intervention according to the correlation degree of problem severity and energy consumption cost, and then accurately select the target equipment that can effectively solve the problem by matching the temperature gradient abnormal area and the equipment control action area, which changes the previous blind or global adjustment mode. Furthermore, by fitting and predicting the trend of the historical operation parameters of the target equipment, the passive response is changed to active intervention.

1. The name of the design product: intelligent environment controller. 2. The use of the design product: widely used in efficient large-scale farms, poultry farms, to improve the management level of breeding enterprises, reduce breeding risks, and effectively reduce the maintenance cost of environment controllers. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: reference figure in use.

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.

The application provides a kind of building environment optimization control system and method, system includes the new fan unit and air pipe being arranged in the space area of building, the new fan unit has high-efficiency filter screen, electrostatic precipitator, frequency conversion fan in, the air speed instrument and actuator are installed in the air pipe;Intelligent environment monitoring sensor is arranged in the space area of building, including particulate matter detector, harmful gas concentration sensor, temperature and humidity sensor;With the controller being connected with the intelligent environment monitoring sensor, air speed instrument, actuator and frequency conversion fan electric cabinet, with the switch being connected with the controller, with the upper management device being connected with the switch, including server and management workstation.The particulate matter in the new air and return air sent into the room is removed by the high-efficiency filter screen and electrostatic precipitator.A unique system linkage control method is designed to optimize the indoor air quality and compensate the indoor temperature and humidity.

The invention relates to the field of intelligent environment control and emergency management systems, and particularly discloses a multi-source environment parameter adaptive cooperative regulation and emergency response system. The system comprises a multi-source environment sensing device, a digital twin modeling engine, an intelligent decision center, a bionic cooperative execution mechanism and an emergency response feedback unit. A dynamic digital twin is constructed through a high-fidelity fluid mechanics model, a regulation and control strategy is optimized in a virtual environment in combination with deep reinforcement learning, and centerless collaboration of distributed execution units is realized by using a bionic swarm intelligence mechanism; and when the actual state and the predicted deviation exceed the limit, the emergency response unit triggers correction or safety plans in a grading manner. According to the technical scheme, the regulation and control precision, the response speed and the operation robustness of the system in a complex nonlinear environment are improved.

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.

The application discloses a prefabricated cabin type substation active and passive collaborative temperature control method and relates to the technical field of intelligent environment control of power facilities. The method comprises the following steps: acquiring real-time operation data of the prefabricated cabin; constructing a thermal network model containing thermal physical parameters of a phase change material, and estimating a current phase change saturation degree of the phase change material and a predicted temperature in the cabin in real time; monitoring a deviation cumulative value of the predicted temperature and the actual temperature, and performing model parameter identification and correcting thermal resistance and heat capacity parameters in the model when the deviation cumulative value exceeds a mismatch threshold; and finally, based on the corrected model and the current phase change saturation degree, a rolling horizon optimization algorithm is used to generate and execute a collaborative control strategy. The application is used to solve the problems that existing temperature control technologies cannot perceive the energy storage state of the phase change material, the model mismatch is caused by the physical parameter drift caused by long-term operation, and the collaborative control precision and energy efficiency are reduced.

The invention relates to the technical field of intelligent environment monitoring, and discloses a multi-mode adaptive air quality detection system, which comprises an air quality acquisition module, a dynamic closed-loop detection module, a multi-source data access module, a fusion and output module, an installation module, a wireless docking station module and an interaction and linkage module, by dynamically responding to environmental changes and integrating multi-dimensional data, air quality detection is upgraded from static parameter presentation to dynamic accurate management, detection deviation can be automatically corrected to guarantee data reliability, pollution sources can be positioned by combining actual scenes and user behaviors, detection is not limited to numerical feedback any more, and the detection efficiency is improved. The system can provide a clear direction for pollution treatment, flexibly adapt to different installation scenes, break through the limitation of traditional fixed installation, meet diversified use requirements, and allow air quality information to be perceived more easily through visual interaction and multi-device cooperative linkage, so that a user can clearly grasp pollution distribution and diffusion conditions.

The invention discloses an environment control system easy to deploy. The system comprises a core intelligent control module which receives environmental data and generates a control instruction to adjust environmental parameters; the multifunctional environment monitoring module collects environment data in real time to ensure accuracy and reliability; the intelligent environment adjusting module adjusts an air conditioner, a humidifier and an air purifier according to the control instruction; the wireless self-organizing network communication module is used for constructing a communication network to ensure continuous and stable data transmission; the modular rapid deployment support system provides an adjustable structure to realize rapid deployment and installation; and the green energy auxiliary power supply module provides power support for the system by using solar energy. The problems of complex deployment, high cost, poor flexibility and the like of the existing environment control system are effectively solved, and rapid installation, low-cost operation and highly flexible configuration are realized.

The invention discloses a self-adaptive air conditioner control system and method based on multi-mode perception, and belongs to the technical field of intelligent environment control. Indoor vision and environment parameter data are collected in real time through a multi-mode sensing module; the processing and analysis module is used for accurately identifying and tracking indoor personnel and analyzing attributes, behavior states and clothes characteristics of the indoor personnel; fusing the multi-dimensional personnel information and the environmental parameters through a decision control module, and dynamically generating a target temperature and wind speed instruction meeting the collective comfort requirement of the current scene through a weighted decision model so as to drive an air conditioner to operate; and optimizing the weight parameters of the decision model on line through an adaptive learning module according to the manual intervention behavior of the user. According to the method, the crossing of air conditioner control from'set execution 'to'perception-understanding-decision-making-evolution' is realized, and the problem of balance between personalized comfort and overall energy consumption in a mixed crowd scene is effectively solved.

The invention provides a multi-mode peculiar smell sensing and dynamic hierarchical control method and device oriented to a sports place, and relates to the technical field of intelligent environment control, and the method comprises the steps: constructing a digital twin field composed of virtual voxel units; gaseous pollutant total amount data, environment modulation parameters and personnel space-time distribution and action intensity data are fused, blind source separation and correlation analysis are utilized to decompose contribution of a human body metabolism source and an equipment material source, and the residual quantity of a solid-phase peculiar smell precursor on the surface of the porous medium is estimated through time domain integration and a material adsorption coefficient. And the solid-phase release potential limit is obtained through inversion, and a multi-dimensional control instruction is generated by integrating the real-time intensity ratio and the solid-phase residual quantity. After the multi-dimensional control instruction is analyzed, an execution grading strategy of the driving flow field adjusting unit, the medium variable purification unit, the fixed-point disinfection unit, the wide-area photolysis unit and the cross-modal intervention unit is formed, and refined and grading linkage treatment on the peculiar smell of the sports place is achieved.

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.

The invention discloses a smart community multi-source management method and system, relates to the field of smart community multi-source management, is used for realizing differentiated resource scheduling based on individual sensitivity, and comprises the following steps: under the condition of sensing an external environment fluctuation event, obtaining the running state change of smart environment control equipment in a resident unit; the external environment fluctuation event is determined according to the fluctuation amplitude of the external environment parameter; according to the running state change, evaluating the response intensity of the resident unit to the external environment fluctuation event; according to the response intensity, determining the environmental sensitivity corresponding to the response intensity from a preset mapping relation as the environmental sensitivity of the resident unit; the preset mapping relationship comprises a mapping relationship between different response intensities and different environmental sensitivities; and performing resource scheduling on the resident unit according to the environmental sensitivity.

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 invention discloses an automatic water shortage reminding function control system suitable for a water tank of a tea constant humidity cabinet, and relates to the technical field of intelligent environment control, the system comprises a tea cabinet main body and a humidifying water tank which can be separated, and the tea cabinet main body is provided with a display panel, a Bluetooth module A and a wireless charging module A; the humidifying water tank is provided with a capacitive liquid level sensor, a Bluetooth module B and a wireless charging module B; the liquid level sensor detects the water level and converts the water level into an electric signal which is transmitted to the display panel through Bluetooth, and the display panel controls the indicator light and sound prompt according to the water level to achieve the automatic water shortage reminding function. The capacitive liquid level sensor cooperates with the Bluetooth wireless transmission module and the wireless charging module, a separable detection and control framework is constructed, the problem of pain points in the prior art is solved, and accurate detection and convenient operation are achieved; meanwhile, by means of side-mounted fitting design and optimization of a damp-proof buffer layer and a sealing structure, the practicability and stability of the system are improved, and the service life is prolonged.

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.

The invention relates to the technical field of building environment control, and discloses a programmable intelligent environment controller, which comprises a power supply module provided with a filtering voltage-reducing and voltage-stabilizing circuit and used for converting 220V AC input into at least 24VDC and 12VDC output and supplying power to internal modules of the controller; and the control module is electrically connected with the power supply module and used for data acquisition and data processing, the control module adopts a multi-core processor architecture and comprises a main processor and a coprocessor, and the main processor is used for logic operation and control instruction generation. On the basis of traditional three constants, monitoring and control over air cleanliness and environmental noise are newly added, a complete five-constants intelligent environment control system is constructed, the indoor environment quality and the living comfort are remarkably improved, and through the adoption of a multi-core processor architecture, a multi-path independent isolation power source, a high-density configurable I / O channel and an expansion interface module, the indoor environment quality and the living comfort are improved. High integration and flexible expansion of the controller are realized, and the controller can adapt to various environment sensors and execution devices.

The invention relates to the technical field of casting process material performance detection, in particular to a device and a method for measuring normal-temperature air permeability of a casting coating. The device comprises a tester main body, a vacuum pump and a central controller, and is characterized in that a multi-channel parallel test expansion module and an intelligent environment compensation and self-calibration unit are additionally arranged. The multi-channel module adopts a one-pump double-cavity structure, and can synchronously or sequentially test at least two samples and calculate the consistency of the air permeability of the samples. The intelligent unit collects environmental data in real time through a temperature and humidity sensor, corrects the permeability coefficient based on a preset compensation model, and can automatically execute system calibration by using a built-in standard calibration sheet. According to the method, efficient and accurate batch testing is realized, and the testing efficiency and the comparability and long-term stability of data in different environments are remarkably improved.