111 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 field of sewage treatment, in particular to a remote automatic centralized control system which integrates five innovation modules including intelligent environment perception, decision optimization, remote intelligent operation and maintenance, safety compliance monitoring and sustainable evaluation. Sewage treatment parameters are monitored in real time and adjusted in a self-adaptive mode through the Internet of Things and edge computing, the intelligent decision module optimizes a treatment strategy, the remote operation and maintenance module is combined with the AR / VR technology to achieve efficient maintenance, the safety module ensures that data are safe and transparent, the sustainable module evaluates and optimizes environmental influences, and an efficient, intelligent and green sewage treatment system is jointly constructed.

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 relates to an intelligent environment sensing method and system based on an outdoor waterproof television. The method comprises the following steps: acquiring an environment monitoring data set of the outdoor waterproof television; carrying out nonlinear transformation and multi-dimensional feature extraction, and obtaining a fusion feature matrix through feature fusion; calculating a temperature parameter weight coefficient, a humidity parameter weight coefficient, an illumination intensity parameter weight coefficient and a rainfall parameter weight coefficient for the fusion feature matrix, and performing weighted calculation with the fusion feature matrix to obtain an environmental risk factor; inputting the environmental risk factor and the fusion feature matrix into a deep neural network based on near-end strategy optimization PPO to carry out strategy iteration optimization calculation, and generating a protection control instruction set; a driving signal of the display module and a control signal of the waterproof actuator are generated respectively, and the driving signal and the control signal are executed through the execution unit. According to the invention, through cooperative control of the display parameters and the waterproof level, the display effect is optimized while the equipment safety is ensured, and the watching experience of a user is improved.

The present disclosure is directed to a scheduler in a real time operating system for a central processing unit (CPU) that runs a number of, and diverse set of processes in a ready queue, the scheduler when executed by the CPU performs steps including dividing the ready queue of P processes into two lists, list 1 contains n processes while list 2 contains m processes, where n+m=P, averaging total execution times of the processes in each list, generating a first quantum s based on an average of each list, generating a second quantum t based on the average of each list, comparing total execution time of a candidate process which needs to be assigned to the CPU with the quantum values, and assigning the value of a quantum, based on the comparing, that is the quantum value closest to the total execution time of the candidate process, to that process as a time period for running on the CPU.

The invention discloses a gas calibration and information monitoring method and system based on wireless communication, and relates to the technical field of intelligent environment monitoring, and the method comprises the following steps: arranging a sensor group in a chemical laboratory to monitor environment data in real time, and constructing a data processing platform to carry out data preprocessing and storage; establishing a gas concentration prediction model according to the random forest regression model, and evaluating the gas calibration precision; carrying out real-time gas concentration calibration by adopting a gas calibration formula, and carrying out qualification evaluation; combining the voltage and resistance of the sensor to predict and analyze the health state of the sensor, performing health assessment and generating a corresponding maintenance instruction; the state of the gas sensor is identified by using a broken line diagram, a thermodynamic diagram and color codes, and an operator is helped to quickly identify a gas concentration change trend and a high-risk area. According to the method, the operation efficiency and the maintenance management level of the gas monitoring system are effectively improved, and the method has great advantages especially in a complex experimental environment.

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 invention discloses a pig farm personnel shower attendance system and method. The system comprises an intelligent shower terminal, an intelligent environment temperature control terminal, an intelligent attendance terminal, a central controller and a cloud Internet of Things platform, the intelligent attendance terminal comprises an attendance module and an operation panel; the attendance module comprises an attendance controller, a fingerprint module and a fingerprint module fixing piece; the attendance checking controller is used for receiving and sending working signals of the fingerprint module and the environment temperature control controller operation panel; the fingerprint module is used for inputting, storing and verifying fingerprints; the cloud Internet of Things platform comprises a data processing module, a data storage module and a three-level interaction interface; and the three-level interaction interface enters different interaction interfaces by inputting different accounts and passwords corresponding to the accounts in the applet. The system can check the shower attendance of the pig farm personnel, effectively supervise the pig farm personnel, monitor the on-off time of the pig farm personnel, improve the communication efficiency among the pig farm personnel, and help the superior to manage and control the production process of the whole pig farm.

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.

1. The name of the product of this design: teaching aid (miniature smart environment ecological experiment incubator). 2. The purpose of this design product: to be used for environmental ecology experimental training and teaching. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the key points of the design: main view.

Aspects of the present disclosure provide an environmental probe configured to be at least partially inserted into the ground at a location and to provide defensible space monitoring and maintenance for a home or other structure. The environmental probe may include one or more environmental sensors configured to perform various environmental measurements to generate environmental measurement data. The environmental probe (e.g., a processor of the environmental probe) may compare the environmental measurement data to one or more thresholds to determine an alert state associated with the location. The environmental probe may include one or more wireless interfaces configured to enable communication with a remote device, such as a smart hub device or other environmental probes. The environmental probe may transmit an indicator of the alert state to the remote device to enable performance of one or more operations based on the alert state.

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.

Disclosed herein is a method for performing voice-based assistance for a remote event associated with a smart environment. The method includes receiving, from an invitee user, a query related to the remote event associated with the smart environment. The method further includes determining, based on a relationship between the invitee user and a host user hosting the remote event, an access level of the invitee user to access the smart environment. Further, the method includes determining, using a natural language (NL) database, a response to the received query based on the determined access level of the invitee user. Further, the method includes transmitting the determined response to a user device associated with the invitee user.

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 a pig farm personnel intelligent shower system and method. The system comprises an intelligent shower terminal, an intelligent environment temperature control terminal, a central controller and a cloud Internet of Things platform. The intelligent shower terminal comprises a shower controller, a shower bracket and a shower execution device; the shower execution device comprises a shower controller operation panel, a spraying device, a temperature sensor and an ultrasonic sensor; the intelligent environment temperature control terminal comprises an environment temperature control controller and an environment temperature control execution device used for controlling the temperature and humidity of the shower environment. The shower controller and the environment temperature controller are both in communication connection with the central controller; the central controller is connected with the cloud Internet of Things platform through the network module. The system can monitor whether the shower of the personnel accords with the standard or not, effectively supervises the shower of the personnel, prevents epidemic diseases from being brought into the pig farm by the personnel, and prevents the great property loss of the pig farm. And the system can also provide a comfortable shower environment for people.

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