69 results about "Smart environment" patented technology

Disclosed in the present invention is a four-network integration architecture for an unmanned swarm system. The four-network integration architecture has the capabilities of heterogeneous platform resource pooling, intelligent dynamic computing power allocation, and timely decision planning, so as to maximize the overall benefit. The present invention focuses on abstracting and integrating independent submodules to form a mesh topology of a swarm. The present invention designs a four-network integration architecture for an unmanned swarm system, which comprises a computing power network, a perception network, a decision network and a communication network as core modules. The structure aims to achieve efficient cooperation of all parts in the swarm, thereby improving the overall performance and adaptability of the system. The system integrates environmental perception, a swarm network modeling component, a knowledge base and a resource pool, providing an intelligent environmental perception strategy and a network modeling strategy for the interior of the swarm. Therefore, the perception of environments, tasks and networks by nodes can be facilitated, thereby completing establishment of intelligent networks, so as to ensure the characteristics of the stability and flexibility of networks.

The invention relates to the technical field of mine environment control, and discloses an intelligent environment monitoring and control method in a mine laneway. The method comprises the steps that a real-time environment parameter set of a mine laneway is collected, the set contains gas concentration data, dust concentration data and temperature and humidity data, and real-time capture of laneway environment multi-dimensional parameters is achieved; then, based on the collected real-time environment parameter set, calculating an environment safety evaluation index so as to scientifically and objectively reflect the roadway environment safety condition; a dynamic control strategy is generated according to the environmental safety evaluation indexes, and the strategy comprises ventilation equipment regulation and control parameters and early warning level parameters and can be flexibly adjusted according to environmental changes; and finally, the ventilation equipment regulation and control parameters are sent to a mine ventilation system, and roadway environment regulation and control are executed. According to the method, environmental parameters can be comprehensively monitored, safety risks can be accurately evaluated, ventilation equipment can be flexibly regulated and controlled, the early warning function can be perfected, energy waste can be reduced, labor intensity can be reduced, and underground operation safety and mining efficiency can be guaranteed.

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 invention relates to the field of visual display devices, such as a monitor or a television receiver, and is intended for integration with additional functional modules (1). These may include, for example, an RGB light module (6), a weather station (7), a light projector, a smoke and gas sensor (5), etc. The invention consists of a device for visual display of information, comprising a cover (3), a power supply, and a control board located inside the cover (3), and means for connecting additional functional modules (1) placed on or inside the cover (3). The means for connecting additional functional modules (1) are linked to the power supply and allow the modules (1) to operate independently of the main device. The additional functional modules (1) include means for wireless transmission of electromagnetic signals and may be compatible with Smart Home systems. The technical effect of the invention is the possibility of expanding the functionality of the visual display device, ensuring autonomous power supply to additional functional modules (1), improving integration with smart environments, enabling control of lighting and climate, and detecting harmful substances in the room.

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 invention discloses a lightweight honeycomb type plate body structure which comprises a honeycomb type plate body formed by integrally combining and arraying a plurality of honeycomb units a and a plurality of honeycomb units b, in the honeycomb type plate body, six honeycomb units b are integrally distributed on the periphery of each honeycomb unit a in a circumferential array mode. The two sides of the honeycomb type plate body are marked as a face A side and a face B side respectively; on the A surface side, each a honeycomb unit is lower than the surrounding b honeycomb units, so that each a honeycomb unit forms a honeycomb-shaped sinking groove on the A surface side of the honeycomb type plate body, and a plurality of a vent holes are hollowed in the lower parts of six inner side surfaces of the honeycomb-shaped sinking groove of each a honeycomb unit; the system is suitable for special cabins, windowless secret rooms, curtain walls and acoustic sensitive spaces, and intelligent environment regulation and control are achieved.

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.

The utility model belongs to container technical field discloses a kind of intelligent container house suitable for field office, emergency guarantee and high-end travel scene.The utility model structure includes container main body, main body contains door, window, outer wall, control device, bathroom device and water supply and drainage device.Monitoring device and active security device are fixed on outer wall, side edge is opened expansion device opening, bottom is equipped with hydraulic support device.Door side edge and top are equipped with magnetic type invisible door sealing strip, bottom is equipped with automatic lifting sealing rubber strip;Bathroom device contains shower room without lower rail and foam shield intelligent closestool with ultraviolet sterilization;Water supply and drainage device contains zero discharge water treatment device with reclaimed water reuse;Control device contains power generation and energy storage device, intelligent environment regulating device;Expansion device contains quick plug-pull water electromagnetic suction type expansion interface with external automatic sealing air valve, overall improves complex environment adaptability and use reliability.

An energy-saving air conditioner converted from green energy and intelligent environment application, comprising: a light and heat composite energy-collecting corrugated panel, arranged on a building, having a corrugated panel and a plurality of solar cells on the surface of the corrugated panel for converting solar energy into electrical energy and storing it in a solar power supply system to provide a first electrical energy, and the bottom of the corrugated panel is provided with a plurality of heat collecting tubes for collecting hot air. And further uses light energy and thermal energy to complement and multiply each other, so that the first electrical energy can further generate a second electrical energy. No matter during the day or night, one can enjoy new green energy and energy-saving air conditioners.

The invention discloses a monitoring and early warning device for highway auxiliary construction, which is applied to scenes of real-time construction environment monitoring and early warning and construction facility centimeter-level positioning precision in a highway construction process, and mainly comprises the following components which are connected with each other through a standardized interface: an intelligent environment sensing component, comprising a LiDAR system, a camera and an ultrasonic sensor and is used for obtaining laser distance data, a three-dimensional construction environment model, image data and ultrasonic data; the construction facility positioning assembly comprises an RTK positioning system and a position selection unit and is used for taking at least one of received RTK positioning data and laser distance data as target positioning data; and the data processing module is used for generating a construction environment monitoring result and calculating the final position of the construction facility. According to the invention, on the basis of the LiDAR system, the RTK positioning system is cooperated for combined positioning, and the camera and the ultrasonic sensor are cooperated for accurately identifying obstacles and dangerous objects, so that the construction efficiency and safety are improved.

The invention discloses an intelligent dehumidifying and cooling high-voltage switch cabinet for a photovoltaic field. The intelligent dehumidifying and cooling high-voltage switch cabinet comprises a cabinet body, an intelligent environment sensing device and a composite dehumidifying and cooling device. The intelligent environment sensing device collects environment data in the cabinet in real time through a temperature sensor, a humidity sensor, an illumination intensity sensor and an air pressure sensor, and the environment data is processed by the controller and then controls the combined type dehumidifying and cooling device to operate. The combined type dehumidifying and cooling device comprises various assemblies, various dehumidifying and cooling states can be achieved, and the primary dehumidifying rotating wheel and the advanced dehumidifying rotating wheel are matched with the heating system to complete dehumidifying and regenerating circulation. A fault diagnosis and emergency processing module is further arranged, faults can be predicted, and the operation mode can be automatically adjusted. Compared with the prior art, intelligent sensing, accurate regulation and control, high efficiency and energy saving are achieved, the fault risk caused by the temperature and humidity problem of the photovoltaic field high-voltage switch cabinet is effectively solved, and safe and stable operation of an electric power system is guaranteed.

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.

The present invention discloses a comprehensive protection management system and method for cultural relics throughout their life cycle, relating to the technical field of protection of cultural relics throughout their life cycle, and solving the problem that existing technical means are lagging behind, rely on manual records and empirical judgments, and are difficult to achieve accurate prediction of cultural relic diseases and low risk prevention and control efficiency; the comprehensive protection management system includes a digital cultural relic construction module, an intelligent environment adjustment module, a disease diagnosis and identification module, a dynamic risk emergency module and a twin interactive display module; the disease diagnosis and identification module diagnoses visual and machine-detected diseases of cultural relics based on the three elements of cultural relics; the full life cycle of each cultural relic is visually managed by constructing a unique digital identity for the cultural relics; the dynamic risk emergency module quantifies the risk level of the cultural relics, and formulates graded emergency plans in combination with risk scenarios; the prediction accuracy of cultural relic diseases is improved, and the risk prevention and control efficiency of cultural relics is improved.

The utility model discloses an intelligent environment monitoring device for an extreme environment of a transformer substation, which relates to the technical field of environment monitoring and comprises a box body, a plurality of drainage elbows are fixedly connected to the upper end of the rear side of the box body, a lifting opening is formed in the upper side of the box body in a penetrating manner, and a mounting plate is slidably connected to the interior of the lifting opening. A partition plate is fixedly mounted at the upper end in the box body, a lifting push rod is fixedly mounted at the center of the lower side of the partition plate, the output end of the lifting push rod penetrates through the lower side of the partition plate and is fixedly connected with the lower side of the mounting plate, and a plurality of gutters are formed in the left and right ends of the upper side of the partition plate. By arranging the lifting port, the mounting plate, the partition plate and the lifting push rod, when the monitoring units cannot resist wind power in strong wind weather, each monitoring unit can be effectively retracted into the box body, so that the monitoring units are prevented from being damaged by strong wind, and the monitoring units are prevented from being separated from the monitoring device main body to damage the interior of a transformer substation; and serious loss is avoided.

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 invention provides a building decoration intelligent environment monitoring system based on the Internet of Things, and belongs to the technical field of the Internet of Things, and the system comprises a sensor layer which is disposed in a building decoration area and is used for collecting environment parameters in a building decoration environment in real time, and an Internet of Things communication layer which is disposed in the building decoration area. The data transmission layer is used for transmitting data acquired by the sensor layer to the data processing layer according to a transmission standard of the sensor layer; the data processing layer is used for preprocessing real-time data, analyzing and determining a highlighted state change set of each environmental parameter based on a data curve based on the preprocessed data, and modeling and establishing a building decoration environment quality model; and the data processing layer is used for analyzing the building decoration environment quality model according to a preset environment quality standard to generate an environment monitoring report and early warning information, and issuing the environment monitoring report and the early warning information to the application layer to control execution equipment to operate. The problems of uneven coverage, low transmission efficiency, one-sided evaluation and the like in traditional monitoring are solved, and the accuracy and the intelligent level of building decoration environment monitoring are remarkably improved.

The invention discloses a self-adaptive RRT-Connect ship path planning method based on a quadtree, and belongs to the technical field of ship path planning. The problem that an existing ship path planning method is low in efficiency and low in success rate is solved. According to the method, after the expanded rasterized map is reconstructed by using the quadtree, the resolution of the map can be adaptively adjusted according to the distribution density of the ocean obstacles based on the spatial hierarchical data structure of the quadtree, and intelligent environment characterization of simplified modeling of an obstacle sparse region and fine description of an obstacle dense region is realized. And a self-adaptive step length mechanism for dynamically adjusting the extended step length according to the environmental complexity is provided, so that the adaptability to the environment in the path planning process is improved, the search efficiency of the RRT-Connect algorithm in the complex sea chart environment is remarkably improved, and the success rate of path planning is greatly improved. The method can be applied to ship path planning.

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 consumption management, and discloses an IC card account consumption management method and system based on the Internet of Things, and the method comprises the steps: collecting account consumption behavior data and environment association data based on the Internet of Things, carrying out the integrated analysis, obtaining a consumption grading value, and carrying out the quantitative analysis of a consumption behavior; based on the consumption grading value, an intelligent environment sensing terminal is deployed to generate an environment feature vector, a real-time risk index is obtained through calculation, and an over-consumption prevention mechanism and a forced biometric authentication mechanism are established through adaptive threshold adjustment; obtaining consumption flow data, carrying out fusion analysis to obtain a consumption flow predicted value, and carrying out early warning on consumption flow risks; and cross-modal consumption behavior analysis is carried out based on the consumption mobility risk exceeding accounts, an abnormal consumption value is obtained through calculation, consumption abnormal behaviors are analyzed and judged through the abnormal consumption value, and preventive measures are taken.

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.