87 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 environment monitoring, in particular to an intelligent environment monitoring system based on the Internet of Things, which comprises a data quality checking module, a data exception correction module, a data association analysis module, an exception monitoring marking module and an environment early warning transmitting module. According to the method, the checking of data equipment numbers and time labels and the filtering of abnormal or discontinuous data fragments are emphasized, so that the integration of the data is improved, the calling and mode analysis of historical data are carried out, and the abnormity is identified and corrected, and the data better meet the requirements of a time sequence mode; according to the method, key monitoring item combinations can be accurately identified and recorded in data correlation analysis, so that the real-time analysis and response capability of monitoring data is remarkably improved, the adaptive capacity to environmental changes and the early warning accuracy are greatly enhanced through timely marking of abnormal states and rapid release of early warning information, and the early warning efficiency is improved. And the efficiency of environment monitoring and decision support is optimized.

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 intelligent environment regulation and control, and particularly discloses an intelligent fresh air handling unit self-adaptive environment regulation and control method and system based on the Internet of Things. Temperature and humidity data are collected in real time through multi-source sensors deployed indoors and outdoors, and a temperature stability characteristic value is calculated through zero-sequence processing and fast Fourier transform; a humidity change rate characteristic value is extracted by combining first-order difference processing and Haar wavelet transform; the feature values are constructed into a comprehensive environment state feature vector, and the comprehensive environment state feature vector is input into a trained random forest model for environment regulation and control effect evaluation; according to the method, the sensing technology, signal analysis and machine learning prediction are fused, the sensing ability, the regulation and control precision and the self-adaptability of the system are improved, and the method is suitable for complex and changeable environment scenes and has good application prospects.

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 technical field of emergency communication, and discloses a rescue emergency multi-base-station management system and a method thereof, and the rescue emergency multi-base-station management system comprises an obtaining module which is used for obtaining geographic parameters of a rescue area and function parameters and position parameters of a plurality of base stations; the signal coverage calculation module is used for calculating multi-dimensional signal coverage under the influence of the plurality of base stations on the geographic parameters in the rescue area by using a composite propagation model; the resource allocation module is used for constructing a base station resource allocation optimization model; the task scheduling module is used for constructing a calculation task scheduling strategy based on elastic scaling; the environment monitoring module is used for detecting environment parameter changes in real time when the communication environment in the rescue area changes; through the technical means of combining air-ground cooperation and intelligent environment perception, the problem of communication blind areas in a complex rescue environment is solved, the communication coverage efficiency is effectively improved, and the environmental adaptability of the system under severe conditions is enhanced.

The invention discloses an intelligent environment equipment control method, device and equipment based on wearable brain-computer interface equipment, and the method comprises the steps: collecting the physiological index data of a specific region of the body surface of a user through the wearable brain-computer interface equipment, and transmitting the physiological index data to a data processing terminal in a Best Efort mode, the physiological index data comprises electroencephalogram data, photoelectric blood flow mapping data, body temperature data and motion data; performing data processing on the physiological index data through the data processing terminal according to a preset decision function to obtain decision data; data stream matrixes corresponding to different sending frequencies are constructed for the decision data, a data packet obtained after the data stream matrixes are packaged is transmitted to corresponding target equipment through an OSC or an LSL or a user-defined upper-layer application protocol, and the target equipment comprises intelligent environment equipment; and performing a corresponding decision operation through the intelligent environment equipment according to the received data packet. Linkage control of the wearable brain-computer interface device and the smart home system can be realized.

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.

1. Name of the Design Product: Graphical User Interface of the Building Low-Carbon Energy Management Platform for Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lie in the graphical user interface. 4. Picture or Photo Best Showing the Design Key Points: Front View. 5. The electronic device is of conventional design, and other views of the electronic device are omitted. 6. Use of the Graphical User Interface: For running the building low-carbon energy management platform program. 7. Human-Computer Interaction Method of the Graphical User Interface: Click "Login" in the front view to jump to Interface Change State Diagram 1; click "Efficient Machine Room" in Interface Change State Diagram 1 to jump to Interface Change State Diagram 2; click "Smart Air Compressor Station" in Interface Change State Diagram 2 to jump to Interface Change State Diagram 3; click "Smart Environment" in Interface Change State Diagram 3 to jump to Interface Change State Diagram 4; click "Indoor Environment Monitoring" in Interface Change State Diagram 4 to jump to Interface Change State Diagram 5; click "Building Integration" in Interface Change State Diagram 5 to jump to Interface Change State Diagram 6; click "Smart Space" in Interface Change State Diagram 6 to jump to Interface Change State Diagram 7; click "Elevator Monitoring" in Interface Change State Diagram 7 to jump to Interface Change State Diagram 8; click "Array Mode" in Interface Change State Diagram 8 to jump to Interface Change State Diagram 9; click "Timing Management" in Interface Change State Diagram 9 to jump to Interface Change State Diagram 10; click "Year" in Interface Change State Diagram 10 to jump to Interface Change State Diagram 11; click "Mode Management" in Interface Change State Diagram 11 to jump to Interface Change State Diagram 12.

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.

1. Name of the Design Product: Intelligent Environment Detector (OSD-IWIFI). 2. Use of the Design Product: This design is used for environmental monitoring in cell banks, cryogenic automated storage equipment, liquid nitrogen tanks, ultra-low temperature refrigerators, refrigerators, transfer tanks, thawing instruments, cold storage, etc. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective View 1.

The invention relates to the technical field of intelligent environment perception, and discloses a fuel vehicle charging system based on environment perception and a control method.The method comprises the steps that firstly, charge data of a storage battery are monitored through a storage battery monitoring module, the charge state index is calculated, and whether charging awakening work needs to be conducted or not is judged; the environment verification module is used for acquiring vehicle visual information data, distance data between a vehicle and an obstacle and CO concentration data, calculating a comprehensive score, judging a current parking condition and carrying out environment safety verification according to the parking condition, and the safety starting module judges whether a starting signal needs to be sent or not according to an environment safety verification result; and meanwhile, the safe starting condition is evaluated, under the condition that the safe starting condition is qualified, charging work is conducted, abnormal changes are continuously monitored in the charging process, the abnormity processing module is used for processing the abnormal conditions, and the automatic closing module is used for closing charging of the engine.

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 invention discloses an intelligent environment monitoring management system based on big data, and relates to the technical field of environment monitoring management, and the system specifically comprises an environment change data collection module, an objective function setting module, and an environment prediction management module, the multi-source heterogeneous data collection module is used for collecting multi-source heterogeneous data of an environment monitoring area in real time, the target function setting module is used for establishing an environment monitoring management target function of the environment monitoring area and setting constraint conditions of the environment monitoring area based on historical work intensity data of an enterprise factory, and the environment prediction management module is used for predicting the environment. According to the scheme, an environment change data prediction model is established based on historical environment change data of an enterprise factory environment monitoring area, environment monitoring control of an enterprise factory is realized by predicting the environment change data, and digital management considering environment protection and production benefits is realized through high-precision perception-multi-target optimization-intelligent prediction.

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.

The present invention discloses an adaptive wireless connection optimization method for intelligent environment perception, which relates to the technical field of wireless connection. By using sensors and scanning devices in step S1 to construct a perception data set GW, the wireless device can obtain the structural semantic information of the propagation environment for the first time, thereby constructing an extended path loss model that is more accurate than the traditional model in S2. Compared with the existing fixed power configuration scheme, this mechanism has the capabilities of environmental self-perception and path self-correction, avoiding the energy waste and uneven signal coverage caused by blind transmission. Based on the communication stability index Γs calculated in real time, it is compared with the target channel stability threshold Γtar, and the current transmission power PT that minimally satisfies the communication quality in the current area is deduced inversely, and the actual transmission power PTadj is obtained by combining the perturbation fine-tuning mechanism. This set of mechanisms realizes the two-way coupling control between power and stability, no longer configures redundant power globally, and can effectively control the upper limit of power consumption.