72 results about "Air quality index" patented technology

The invention relates to the technical field of intelligent archival repository management, and discloses an intelligent archival repository management method and system based on multiple modules. The method comprises the following steps: acquiring environment monitoring data such as storehouse temperature and humidity distribution and air quality indexes, and generating an environment state feature vector through feature extraction; inputting the data into an archive storage risk assessment model, outputting a risk level, and generating an environment regulation and control instruction set containing temperature and humidity regulation and air purification parameters according to the risk level; monitoring access request data containing file numbers and access timestamps in real time, and constructing an access frequency matrix to calculate file thermodynamic diagram distribution; a warehouse partition regulation strategy is generated by combining the thermodynamic diagram and the regulation instruction set, and the high-frequency access file is dynamically migrated to an environment stable area; incremental learning is adopted periodically to update model parameters, and risk prediction precision is optimized. The method can improve the intelligent degree of warehouse management and guarantee the safety of file storage.

The invention discloses an atmospheric environment exercise health monitoring method and system, and the method comprises the steps: S1, generating a pollution level distribution diagram based on air quality index data collected in real time, S2, determining an air quality risk value of a current region according to the pollution level distribution diagram, and S3, determining the air quality risk value of the current region according to the air quality risk value. S3, based on the air quality risk value, calculating a dynamic movement duration threshold value adaptive to human health; S4, regulating and controlling the actual movement duration of the user according to the dynamic movement duration threshold value so as to prevent pollutant inhalation from exceeding the standard; according to the atmospheric environment movement health monitoring method and monitoring system, the movement duration is regulated and controlled according to the real-time fluctuation of the air quality index, so that the problem that pollutants inhaled by the human body exceed the standard is solved.

The invention discloses an efficient and energy-saving production workshop ventilation system and method, and relates to the technical field of production workshop ventilation, the workshop ventilation system comprises an environment detection module, a quality evaluation module, a ventilation heat exchange module and an energy-saving regulation and control module, the environment detection module comprises an acquisition unit, the acquisition unit is used for acquiring air multi-dimensional detection data in the workshop main body and air temperature outside the workshop main body; the invention also discloses a workshop ventilation method, and the method comprises the steps: obtaining the air quality indexes and the temperature and humidity indexes of different regions in the workshop main body through separately monitoring the different regions of the workshop; and when the air quality index or the temperature and humidity index of a certain area reaches a critical value, an optimal ventilation and heat exchange regulation and control scheme with the highest ventilation and heat exchange efficiency and the least energy consumption is formulated for the area, so that the effect of improving the ventilation and heat exchange response rate and the energy utilization rate is achieved under the condition that the workshop air quality and the environment comfort degree are maintained. And the effects of saving energy and reducing the maintenance cost are achieved.

The invention relates to the technical field of intelligent control, and discloses an air quality evaluation method and device, air purification equipment and a storage medium, and the method comprises the steps: obtaining original monitoring data of various pollutants; performing format conversion on each piece of original monitoring data to correspondingly obtain standard data, which comprises the following steps of: respectively determining air quality standard limit values of various pollutants; respectively dividing the original monitoring data of various pollutants by corresponding air quality standard limit values to correspondingly obtain standard data; respectively determining the current weight of each standard data, and calculating an air quality index by utilizing all the standard data and the corresponding current weight; and determining the current quality grade corresponding to the air quality index, and controlling the air purification equipment to perform corresponding work based on the current quality grade. According to the invention, format conversion is carried out on the original monitoring data, the current weight of the data is determined, the air quality index is calculated, the quality grade corresponding to the air quality index is determined to control equipment work, air quality can be comprehensively quantified, and the evaluation precision is improved.

The invention relates to the technical field of virtual reality, in particular to a rhinitis symptom aggravation early warning method based on an air quality index, which comprises the following steps: acquiring PM2.5, PM10 and O3 pollutant concentration time sequences per hour unit, performing differential operation to obtain a concentration change rate, and calculating a concentration standard deviation in a target moving time window. According to the method, concentration data of multiple pollutants such as PM2.5, PM10 and O3 are obtained in real time, the fluctuation amplitude of the pollutant concentration is converted into an exposure risk visually perceived by a user in a differential operation and dynamic standard deviation analysis mode, and the diffusivity of a regional environment is quantified through geographic parameters such as urban digital elevation and building density; and the GPS real-time position and wind speed data of the user are further fused, and the environment diffusion potential and the real-time meteorological condition are comprehensively processed to construct an air quality index capable of accurately reflecting the real entity feeling risk of the user individual.

The invention relates to the technical field of AI family climate control, in particular to an intelligent AI family climate control device which comprises a data acquisition module, a data processing module, an execution control module, a user interaction module and a cloud server. The data acquisition module is used for acquiring indoor environment parameters in real time, including temperature, humidity, air quality index, carbon dioxide concentration and outdoor weather information; the data processing module is internally provided with a climate regulation algorithm based on artificial intelligence, the algorithm compares and analyzes the collected environmental parameters and comfort preference parameters preset by a user, and predicts the environmental change trend in a period of time in the future through a machine learning model; the execution control module is connected with control interfaces of climate adjusting devices such as an air conditioner, a humidifier, an air purifier and a dehumidifier and automatically adjusts the working state and the operation mode of each device according to the adjusting instruction output by the data processing module.

The invention discloses an air conditioner control method and device, a medium and an air conditioner, air conditioner environment parameters are obtained, a comprehensive air quality index is calculated according to the air conditioner environment parameters, corresponding operation modes and control modules are triggered in a graded mode based on the index, and accurate sensing and dynamic response to indoor and outdoor air states are achieved. And meanwhile, the limitation that a traditional air conditioning system depends on a single temperature or humidity parameter to conduct simple mode switching is broken through, and the flexibility and diversity of control strategies are improved.

The invention discloses an intelligent building monitoring system and method, belongs to the technical field of building environment control systems, and solves the problems of energy waste and emergency response lag caused by the fact that an existing system is difficult to dynamically coordinate multi-region environment parameters. According to the technical scheme, the method comprises the steps that building space multi-dimensional environment parameters are collected through a distributed infrared sensor array, a temperature sensor array and a carbon dioxide concentration sensor array; the central controller normalizes the data, constructs a space model of a temperature gradient distribution diagram, a personnel density thermodynamic diagram and an air quality index matrix, generates an air conditioner linkage instruction based on a preset temperature difference threshold value to adjust the air supply volume ratio of adjacent areas, and generates an emergency evacuation channel opening instruction based on a personnel density threshold value; the equipment control module executes air conditioning, lighting and security linkage operation, and the lighting unit regulates and controls the brightness in a grading mode according to the curvature radius of the personnel track. The system is mainly used for realizing building environment precise regulation and control and intelligent security and protection collaborative management.

The invention belongs to the field of vehicles, and discloses a whole vehicle air quality pre-diagnosis method and system and electronic equipment, and the method comprises the steps: obtaining a whole vehicle part list; determining a pollutant emission index of each part in the whole vehicle part list according to a preset pollutant database; and according to the pollutant emission index of each part, the air quality index of the whole vehicle is calculated, and the air quality grade of the whole vehicle is determined according to the air quality index of the whole vehicle. According to the method, the in-vehicle air quality can be predicted and evaluated in advance, so that the potential air quality problem can be identified before mass production, measures can be taken in time in the design and production process, the high rectification cost caused by the air quality problem in the later period is reduced, and the production efficiency is improved. And meanwhile, the pollutant emission index of the part is accurately calculated, so that a key pollution source can be more accurately identified and controlled, emission of pollutants in the vehicle is reduced from the source, and the health and comfort of the environment in the vehicle are improved.

A whole building air quality control system includes an indoor air quality (IAQ) component having at least one control state, a plurality of sensors configured to measure a plurality of building conditions of a building space, and a controller communicably coupled to the IAQ component and the plurality of sensors. The controller includes memory storing a desired air quality index (AQI). The AQI includes a categorical variable. The controller is configured to iteratively modify a control state of the IAQ component using a machine learning algorithm until the plurality of building conditions of the building space satisfy the desired AQI.

The invention, which relates to the field of illumination adjustment, discloses an environment sensing illumination adjustment system applied to an intelligent lamp post, comprising a data acquisition module, an air data analysis module, an image data analysis module, a model training module, an instruction generation module and an adjustment module. The data acquisition module is used for acquiring related data; the air data analysis module obtains an air influence value by analyzing the air quality index and the visibility; the image data analysis module analyzes the image data to obtain a personnel influence value and a crowd illumination value; the model training module generates a use illumination adjustment model according to the historical illumination data set; the instruction generation module generates an illumination adjustment instruction according to a comparison result of the target illumination parameter and the actual illumination parameter; the adjusting module adjusts the intelligent lamp pole according to the illumination adjusting instruction; according to the invention, through comprehensive analysis of various factors, the adjustment accuracy of the intelligent lamp post can be improved.

The invention relates to the technical field of intelligent household appliance control, in particular to a mode self-adaptive control method, device and equipment of an air conditioner and a medium. Performing filtering processing on the indoor living environment parameters and the outdoor environment parameters based on a moving average filtering method to obtain a filtering processing data set; enhancement processing is conducted on the filtering processing data set based on the air conditioner energy consumption and a roulette selection method, so that an enhanced data set is obtained; performing iterative optimization on the enhanced data set based on a preset velocity component updating formula to obtain an optimized data set; based on a preset air quality index threshold condition and the optimization data set, a comprehensive evaluation result vector is obtained through calculation; performing mapping operation according to the comprehensive evaluation result vector and a preset intelligent control mode library to obtain a first intelligent braking mode; decision accuracy is improved through data filtering, enhancement and optimization, energy consumption is reduced in combination with dynamic mode scheduling, energy utilization efficiency is improved, and comfort and air quality are guaranteed.

The invention relates to the technical field of sound insulation equipment, in particular to an intelligent sound insulation bin environment perception and equipment regulation and control system and a control method. Comprising an environment sensing module, a data processing module, an equipment regulation and control module, an identity verification module, a human body existence sensing module and a communication module, the environment sensing module is used for collecting environment parameters in the sound insulation bin in real time, and the environment parameters comprise the temperature, the humidity, the noise intensity and the air quality index; the identity verification module adopts a binocular living body identification camera, an IC card identification unit, a password input unit and a code scanning unit, personnel identity verification is realized based on TCP / IP, WIFI or LAN4G communication modes, the face capacity of the identity verification module is 20000, the card capacity is 20000, and the password capacity is 20000; the data processing module receives the environment parameters collected by the environment sensing module, analyzes and processes the environment parameters, and sends a regulation and control instruction to the equipment regulation and control module according to an analysis result; according to the invention, real-time sensing of multi-dimensional environment parameters and intelligent regulation and control can be realized.

The present application relates to air conditioning technical field, specifically provide a kind of control method of air conditioner, to solve the problem that the function of the bacteria removal device in prior art is relatively single, cannot remove odor.For this purpose, the control method of the present application includes: obtaining the air quality index of outdoor environment, determine the interval where the air quality index is located, obtain the number of people in the space where air conditioner is located, based on the interval where air quality index is located and the number of people, control the operation mode of first ultraviolet module and / or second ultraviolet module.The present application controls the operation mode of first ultraviolet module and second ultraviolet module according to the interval where air quality index is located and the number of people, so as to control the operation mode of air conditioning device in real time according to the air quality of outdoor environment and the number of people in indoor space, so that it can operate according to different actual situation to achieve different sterilization and odor removal intensity, better improve the air condition of indoor space.

The invention provides an air quality index prediction method and device, equipment and a storage medium, and relates to the technical field of air quality prediction. The method comprises the following steps: acquiring pollutant concentration data from the starting moment of the day to the current moment, meteorological data of the day, historical meteorological data, corresponding historical pollutant concentration data and a target air quality index level of the day; according to the pollutant concentration data and the target air quality index level, the hour residual concentration of each pollutant in the residual time period of the day is determined; according to the current day and historical meteorological data and the corresponding historical pollutant concentration data, predicting the per-hour concentration change rate of each pollutant in the current day; according to the hourly concentration change rate, the hourly predicted concentration and the hourly distribution concentration of each pollutant in the remaining time period of the day are determined, and then the air quality index prediction result of the day is determined. The method can predict the air quality index after pollution prevention and control on the current day based on the air quality improvement target.

This invention provides a method for filtering air quality forecast results based on sliding optimal matching, relating to the fields of environmental air quality forecasting and data science technology. The method includes: acquiring multiple predicted air quality index data obtained from various air quality prediction models; acquiring multiple measured air quality index data at multiple times within a past first preset time period; setting a time window; filtering target air quality prediction models from among the multiple air quality prediction models; and obtaining air quality index forecast data. According to this invention, predicted air quality index data and measured air quality index data can be acquired, and error statistics can be performed based on the time window to filter target air quality prediction models. The sliding optimal matching algorithm enables real-time evaluation and automatic filtering of model performance, overcoming the technical bottlenecks of traditional manual operation and static integration, improving the real-time performance and efficiency of air quality prediction model filtering, and providing high-precision and high-efficiency forecast support.

The invention discloses an air purification system and method for a pig farm, and relates to the technical field of air purification of farms. A preliminary design scheme, customized based on the evaluation result, of the multi-stage filtering system, the photocatalytic oxidation device and the intelligent monitoring system is obtained; based on a preliminary design scheme, a multi-stage filtering system, a photocatalytic oxidation device and an intelligent monitoring system are actually arranged and connected by adopting an installation and integration method, and functions of data acquisition and control command transmission are realized; the method comprises the following steps: performing inspection and initialization setting on equipment, initializing an intelligent monitoring system and setting basic parameters based on equipment layout, starting an air purification system by adopting an operation and monitoring method based on the set basic parameters, monitoring air quality indexes in real time, and adjusting operation parameters through an intelligent control system.

The application discloses an intelligent operating room air quality prediction and supervision system based on AI empowerment, which comprises a multidimensional data perception layer, an AI analysis engine and an intelligent supervision platform. The multidimensional data perception layer comprises a particle monitoring network and a parameter acquisition module. The particle monitoring network is arranged in layers around the operating bed to collect multi-particle size particle concentration data through sensors. The parameter acquisition module acquires environmental parameters. The AI analysis engine comprises a time series database, a multi-factor correlation analysis model and a prediction and early warning module. The time series database constructs a four-dimensional data storage structure. The multi-factor correlation analysis model establishes the correlation between the air quality index and the environmental parameters. The prediction and early warning module predicts the particle concentration trend based on the four-dimensional data storage structure and triggers a hierarchical early warning. The intelligent supervision platform generates control instructions according to the hierarchical early warning and collects data to optimize the model. The application realizes accurate prediction, active control and closed-loop optimization of the air quality in the operating room, and improves the control efficiency and medical safety.

The application relates to the fresh air technology field and discloses a fresh air control method based on indoor and outdoor air quality. The fresh air control method comprises the following steps: obtaining indoor detection data and outdoor detection data corresponding to each air quality index in at least two air quality indexes; determining a comprehensive relative air quality parameter corresponding to the at least two air quality indexes according to the indoor detection data and the outdoor detection data corresponding to each air quality index; the comprehensive relative air quality parameter is used for indicating the advantages and disadvantages of outdoor air quality relative to indoor air quality; in the case that the comprehensive relative air quality parameter indicates that the outdoor air quality is better than the indoor air quality, a fresh air device is started to ventilate the indoor and outdoor air. The fresh air control method can improve the freshening effect of fresh air on indoor air. The application further discloses a fresh air control device based on indoor and outdoor air quality and a fresh air air conditioner.

The application provides a comfort-based eVTOL multi-parameter fusion adaptive control method and device, the adaptive control method comprising: S1, acquiring comfort-related parameters in real time, the comfort-related parameters comprising cabin noise, cabin vibration intensity, cabin temperature, cabin humidity, and cabin air quality index; S2, based on the comfort-related parameters and according to a preset mapping relationship, outputting control parameters, the control parameters comprising propeller speed adjustment instructions, pitch compensation instructions, and cabin air conditioner and ventilation system control instructions; and S3, based on the output control parameters, controlling the aircraft in real time. The application constructs a set of adaptive control methods and devices throughout flight through multi-parameter fusion, and improves the comfort of eVTOL.

1. Name of the Design Product: Graphical User Interface for Forecasting Urban Air Quality Index of Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photograph Best Showing the Design Key Points: State Change Diagram of Design 1. 5. Design 1 is designated as the basic design. 6. Use of the Graphical User Interface: For providing an interactive interface for users to forecast urban air quality index. 7. Human-Computer Interaction Method of the Graphical User Interface: The main view of Design 1 is the main interface of the weather forecast application, and interaction can be carried out by swiping and clicking on the graphical user interface. Click on any time period in the hourly forecast in the middle of the main view of Design 1, and the interface will display air quality indicators such as temperature and humidity for that time period, showing the state change diagram of Design 1; the main view of Design 2 is the main interface of the weather forecast application, and interaction can be carried out by swiping and clicking on the graphical user interface. Click on any day in the daily forecast at the bottom of the main view of Design 2, and the interface will display weather indicators such as high temperature, low temperature, and precipitation for that date, showing the state change diagram of Design 2.

The invention discloses a vehicle control method and a vehicle, and relates to the technical field of vehicles. The method comprises the steps that multi-source sensing data are obtained based on multiple vehicle-mounted sensors, and the multiple vehicle-mounted sensors comprise an air quality sensor, a fine particulate matter sensor and a carbon dioxide sensor; determining an outside-vehicle air quality index and an inside-vehicle air quality index based on the multi-source sensing data; a first working mode of the vehicle-mounted air conditioning system and a second working mode of the ion generator are controlled based on the vehicle exterior air quality index and the vehicle interior air quality index; a central control screen of the vehicle is controlled to display a corresponding animation interface based on the first working mode and the second working mode, and the animation interface is used for presenting the first working mode and the second working mode in an animation mode. According to the invention, the technical problems of one-sided decision making, difficulty in comprehensively adapting to air quality requirements in different scenes and poor interaction experience of an in-vehicle air quality control system in related technologies are solved.

The invention discloses a range hood control method and device based on gesture recognition, a range hood and electronic equipment, and belongs to the technical field of kitchen appliances. The method comprises the following steps: controlling a laser transmitter to transmit a laser signal to a target direction of the range hood, and receiving a reflected light signal formed by reflecting the laser signal through a hand of a user through a receiver; acquiring an air quality index value, and matching a detection threshold value corresponding to the air quality index value; determining a target reflected light signal of which the signal intensity is greater than a detection threshold value in the reflected light signals; generating a depth map including the hand of the user according to the time difference between the laser signal and the target reflected light signal; recognizing a user gesture according to the depth map, and generating a control instruction corresponding to the user gesture to control the running state of the range hood. According to the embodiment of the invention, the influence of environmental interference on the recognition result can be reduced, the accuracy of gesture recognition is improved, and the consistency of the control instruction and the user operation intention is improved.

The invention belongs to the field of air pollution detection and alarm, and discloses an air pollution exposure alarm system based on mobile phone positioning, and an air quality index prediction method based on mobile phone positioning is characterized by comprising the following steps: collecting a user report position; if an air pollution monitoring point exists in a preset radius range of the reporting position, reporting data of the monitoring point as a result, otherwise, searching for the air pollution monitoring point with a four-vector meeting a threshold value requirement in a preset maximum limiting radius by using a four-vector method; calculating the air quality index of the reporting position by using an interpolation method; if the air pollution monitoring point position with the four-direction vector meeting the threshold value requirement cannot be found within the preset maximum limiting radius, a user is prompted to modify the reporting position. According to the method, the air quality of the positioning position is more accurately predicted by using a linear interpolation method, so that a user can accurately obtain the air quality data of the positioning position of a mobile phone.

This application relates to an air conditioning control method, device, air conditioning equipment, and storage medium. It involves periodically collecting indoor environmental parameters and outdoor temperature; calculating indoor heat load and indoor air quality index based on the indoor environmental parameters; determining the indoor heat load state based on the indoor heat load and a corresponding first preset value; determining the indoor air quality state based on the air quality index and a corresponding second preset value; and comparing the indoor temperature with the outdoor temperature to obtain a comparison result. Based on the indoor heat load state, indoor air quality state, and comparison result, it performs coordinated control of the air conditioner and the corresponding fresh air system. Therefore, while accurately ensuring indoor thermal comfort and air health, it minimizes energy waste caused by blindly introducing fresh air or excessive cooling in energy-saving air conditioning systems, achieving synergistic optimization of thermal comfort, air quality, and operating energy consumption.

This invention provides a method and system for zoned ventilation control of ventilated curtain walls, relating to the field of air conditioning and ventilation control technology. The invention divides the ventilated curtain wall area into several monitoring zones, collecting real-time data on air temperature, humidity, carbon dioxide concentration, temperature difference, wind speed, air volume, solar irradiance, fan power, and energy consumption parameters. It calculates air quality index, air-temperature synergy optimization index, and energy efficiency index. For unqualified or abnormal zones, it automatically generates ventilation enhancement strategies, adaptive ventilation adjustment strategies, and fan optimization strategies. Through multi-parameter correlation analysis, it establishes zoned temperature field and airflow models, identifies abnormal zones, and generates optimized operation and maintenance strategies, achieving balanced air quality, optimized ventilation effect, and energy consumption control. This system can be used in applications involving air conditioning, humidification, ventilation, and airflow as a shield, improving indoor environmental comfort and energy efficiency.

1. Name of the product in this design: Graphical User Interface for Rural Environmental Monitoring in Electronic Equipment. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are: the layout of the graphical user interface elements. 4. Images or photos that best illustrate the design key points: Interface state change diagrams. 5. Purpose of the graphical user interface: Enter the username and password in the main view to enter the interface change state diagram. The interface change state diagram is the main user interface for rural environmental monitoring and management, including the air quality index monitoring section to display the air quality index, the noise index monitoring section to display the specific noise value, the environmental status indicator light section for alarms and indicator light flashing when the environment is abnormal, the environmental parameter value section to display the real-time changes of specific environmental parameters by clicking, the water quality monitoring to display water quality statistics, and the real-time data display of the real-time changes and historical curves of different environmental indicators.

The invention discloses an energy-saving building indoor air quality monitoring system and method. The system comprises a sensor module, a data processing module, a quality evaluation module and an alarm module. The sensor module is used for monitoring initial air data in a building; the data processing module is used for preprocessing the initial air data and performing spatial-temporal feature fusion on the preprocessed data to obtain fused features; the quality evaluation module evaluates the air quality based on the fused features to obtain an evaluation result; and the alarm module gives an alarm based on the evaluation result. The key air quality indexes are monitored in real time through the integrated distributed sensor network, data preprocessing and feature fusion are carried out through the advanced data processing module, intelligent evaluation is carried out through the LSTM-AE deep learning model, the monitoring precision and efficiency are effectively improved, and remarkable technical advancement and economic benefits are achieved.

A traffic monitoring system includes one or more traffic sensors configured to: capture images of vehicles on a road segment, generate traffic related data from the captured images, and transmit the traffic related data to a server. The server is configured to: receive the traffic related data from the one or more traffic sensors, analyze the traffic related data so as to generate an air quality index impact metric quantifying a change to an air quality index as indicated by the traffic related data.

The embodiment of the invention discloses an air purifier air speed control method and device based on indoor crowd density changes, and belongs to the technical field of smart home. The method comprises the following steps: collecting crowd perception data and environment data including infrared and wireless signals and visual images; calculating a current crowd density index through a weighted fusion algorithm; in combination with the current air quality index, the future air quality is estimated through the prediction model; according to the crowd density change rate and the time information, a gathering, sleeping or conventional operation mode is identified, and mode switching needs to meet a lag condition; and finally, the target wind speed is determined by integrating the operation mode, the crowd density index and the predicted air quality, and the wind speed is dynamically adjusted by adopting a closed-loop control algorithm. According to the method, crowd density perception and air quality prediction are fused, so that advanced response to the pollution trend and scene-adaptive wind speed optimization control are realized, the purification hysteresis is effectively improved, and the purification effect, energy consumption and noise are collaboratively optimized.