568 results about "Indoor air quality" patented technology

Techniques for operating an environmental sensing system are described. In an example, a cloud-based server system receives a first indication that a first type of air pollutant is present within a first structure from a first plurality of indoor air quality (IAQ) sensing devices positioned within the first structure. A second structure within a predefined distance to the first structure is then identified by the server system. The server system then determines that the first type of air pollutant is not present within the second structure. The server system then causes a second plurality of IAQ sensing devices positioned within the second structure to change an operating mode from a normal sensitivity mode to a high-sensitivity mode.

An IAQ sensor module includes: a sensor configured to measure an amount of an item in air, the item being one of particulate matter, volatile organic compounds, and carbon dioxide; a minimum module configured to selectively store the amount of the item as a minimum value of the amount when a mitigation device has been on for at least a predetermined period, the mitigation device being configured to decrease the amount of the item in the air when on; a storing module configured to selectively store the minimum value as an initial minimum value; an offset module configured to determine a drift offset for the sensor based on a difference between the minimum value and the initial minimum value; and an adjustment module configured to determine an adjusted amount of the item in the air at the IAQ sensor module based on the amount and the drift offset.

The invention relates to the technical field of energy consumption management, and particularly discloses an AI-based clean room dynamic energy consumption management system and method. According to the method, a deep learning algorithm is introduced to carry out deep interaction analysis on clean room indoor air quality parameter time sequence data and environment change driving event data such as the number of indoor personnel, the external environment temperature, the room door opening and closing state and the equipment power, so that intelligent reasoning of the dynamic evolution process of the clean room indoor air quality is realized; according to the method, the air quality parameter prediction result is compared with the preset air quality standard range so as to predict the air quality change in the future short time under the current driving event, and then the short-time air quality parameter prediction result is compared with the preset air quality standard range so as to carry out feedforward adjustment on the HVAC system operation parameters of the clean room according to the difference between the short-time air quality parameter prediction result and the preset air quality standard range. According to the method, environmental changes can be actively predicted, smooth pre-adjustment is conducted in advance, the air quality in the clean room is kept within the preset standard range, meanwhile, unnecessary energy waste is remarkably reduced, and the environmental stability is improved.

The invention discloses an indoor air quality monitoring method and system based on multi-dimensional analysis, and belongs to the technical field of air quality monitoring. The indoor air quality monitoring method based on multi-dimensional analysis comprises the steps that various data of a chemical sensor, an optical sensor and an acoustic sensor are collected; preprocessing the data, including unifying sampling frequency and normalizing different data formats; performing multi-dimensional feature extraction to obtain a multi-modal feature; carrying out feature fusion by adopting a machine learning algorithm; the air quality state is evaluated based on the fusion features; through multi-source data fusion analysis, the problems of one-sided monitoring result and insufficient reliability of a single sensor are solved, the monitoring accuracy and reliability are improved, and the method can be widely applied to scenes such as smart homes and office buildings.

The invention relates to the technical field of indoor air quality monitoring, and discloses an indoor air quality joint detection system fused with a space-time diagram neural network. The system comprises a multi-source sensor data acquisition module for acquiring multi-source air quality data flow by configuring various sensors; the space-time diagram construction module constructs space-time diagram data according to the spatial position and the time sequence of the sensor; the fusion processing module adopts a space-time diagram neural network to perform feature fusion on the space-time diagram data to generate an air quality fusion feature set; the prediction strategy module determines a prediction strategy based on the remaining duration of the current time and the end time of the prediction period, and performs air quality prediction in combination with the fusion feature set; the dynamic adjustment module analyzes the real-time change of the data, constructs the pollution change degree and tendency degree, and adjusts the detection control parameters according to the pollution change degree and tendency degree; and the joint detection output module synthesizes the prediction result and the adjustment parameters to generate an indoor air quality joint detection report. The system provides powerful support for indoor air quality evaluation.

This preferred embodiment pertains to a system designed to manage and optimize indoor air quality within a certain space. It employs a processor, multiple sensors, air dampers, and highly sophisticated machine learning code to control air flow, consider energy consumption, and analyze air quality data to maintain optimal conditions for both health and energy efficiency.

The invention discloses an indoor air quality inspection robot, which belongs to the field of indoor air quality inspection, and comprises the following steps: collecting air quality data in real time by adopting a sensor network according to preliminary monitoring priority distribution, extracting abnormal fluctuation characteristics from air quality change of each region, and determining a target region range needing key inspection; a path planning algorithm is called to generate a shortest feasible path from a current position to a target area through a local path adjustment scheme in combination with a global path optimization target, and a real-time updating result of a dynamic inspection path is obtained; and transmitting task allocation data of each inspection robot through a scheduling instruction of multi-device collaborative operation, and extracting target area and path planning information of each device from the task allocation data to obtain a coordination optimization scheme of overall inspection coverage.

The invention discloses an automatic indoor air quality monitoring method, and belongs to the technical field of indoor air quality detection. According to the method, a first data set and a second data set are obtained by monitoring cells, air inlets and air outlets of a communication area and an indoor area, an air state model of the communication area and each indoor area is constructed, and a state transition probability and a state input probability are predicted and substituted into the air state model; and a state vector of the next state transfer step length is generated, so that the data processing amount of multi-region air quality monitoring is reduced, and the effect of prediction in advance is achieved. Furthermore, multiple components are monitored through an air state model, a negative parameter set is generated from the aspects of germ infection, lung harm, explosion danger and the like, the air quality negative index is evaluated, a positive parameter set is generated from the aspects of proper temperature and humidity, proper O2 concentration, proper CO2 concentration and the like, the air quality positive index is evaluated, and comprehensive monitoring of the air quality is achieved.

The invention relates to the technical field of environment monitoring, in particular to a multifunctional air quality monitoring and early warning system, which comprises a monitoring and adjusting module, a monitoring and early warning module, a monitoring and early warning module, an early warning module and an early warning module, and is characterized in that the monitoring and adjusting module monitors pollutants and temperature and humidity information in air through various sensors and automatically adjusts sensor detection ranges according to air quality conditions; the intelligent early warning module is used for establishing a prediction model, pre-judging the deterioration trend of the indoor air quality in advance through the prediction model, and triggering trend early warning when monitoring that the deterioration risk is high; and the equipment linkage module is used for establishing an equipment linkage rule base and automatically matching an optimal equipment operation strategy according to the air quality data. Various high-precision sensors are integrated, multi-dimensional data of particulate matter, harmful gas, oxygen content and temperature and humidity in air can be comprehensively monitored, the indoor air quality condition is accurately reflected, an air purifier and fresh air system equipment are automatically allocated according to a data analysis result, and intelligent environment adjustment is achieved.

The invention relates to the technical field of fresh air blowers, and discloses a whole house type frequency conversion fresh air dehumidification system which comprises an intelligent control module, an environment sensing module, an intelligent control module, an intelligent control module, an intelligent control module, an intelligent control module, an intelligent control module and an intelligent control module, the indoor air quality data collection module collects indoor air quality data in real time and transmits the indoor air quality data to the intelligent control module, the air processing module comprises a fresh air introduction unit, a return air circulation unit and a mixed air processing unit, and the mixed air processing unit is configured to mix outdoor fresh air and indoor return air according to a preset proportion; according to the whole house type variable frequency fresh air dehumidification system, the variable frequency compression unit and the variable frequency fan unit are adopted, the humidity control precision of + / -3% can be achieved within the daily dehumidification amount range of 45-145 L, meanwhile, energy consumption is reduced by 15-35%, noise is lower than 36 dB (A), the PM2.5 purification efficiency of double filter screens reaches 99.98%, the indoor air quality is remarkably improved, and the maintenance process is simplified.

The invention belongs to the technical field of intelligent control, and particularly relates to an air purification system based on intelligent perception and a self-adaptive regulation and control method thereof. Comprising a multi-dimensional environment perception unit, an environment data fusion and modeling unit, a self-adaptive regulation and optimization decision unit, a modular air purification execution unit and a man-machine interaction and user preference setting unit. According to the method, multi-element parameters are collected, fusion modeling is carried out, a pollution source is identified and predicted, a multi-target optimization algorithm is applied to generate an optimal purification strategy, and then a purification execution unit is controlled. The indoor air quality can be finely and dynamically managed, the purification efficiency is remarkably improved, energy consumption, operation noise and the service life of a filter material are intelligently balanced, and a personalized healthy breathing environment is provided.

The present application relates to air conditioning technology field, specifically relates to a kind of partition regulation formula refrigeration constant temperature and humidity air conditioning unit with air supply system, comprising: unit machine case;Constant temperature air supply structure for temperature regulation for air supply system air supply is equipped in the inside of unit machine case, and the air supply end of constant temperature air supply structure is connected with air duct for wind force transmission;The air duct is installed with constant humidity partition regulation structure for indoor partition regulation air supply in air outlet end.This application, in hot air heating mode, system can effectively deliver hot air to each partition by closing No. 1 and No. 3 electromagnetic valve, realize subarea heating, improve energy utilization efficiency, in cold air refrigeration mode, system is adjusted closed flap and starts compressor, so that cold air is delivered to each partition after refrigeration cycle, also realize subarea refrigeration, exhaust air and dust mode can extract indoor peculiar smell and dust, improve indoor air quality.

Systems and methods for executing an IAQ analysis of a building. One system includes a controller including memory and one or more processors configured to obtain IAQ data from one or more sensors within the building, wherein the IAQ data is associated with at least one of a plurality of environment species, obtain BAS data, identify one or more unknown parameters from the IAQ data and BAS data of two or more of the plurality of environment species, estimate the one or more unknown parameters based on inputting the IAQ data and the BAS data into an optimization model, and wherein the optimization model analyzes predicted concentrations of the plurality of environment species subject to the two or more of the plurality of environment species evolving according to a single-species concentration model, and provide the estimated one or more unknown parameters to one or more predictive models.

The invention belongs to the technical field of building ventilation, and particularly discloses an intelligent building ventilation energy-saving system based on AI dynamic adjustment, and the system is characterized in that the system comprises a sensing layer which is used for collecting indoor and outdoor environment parameters in real time; the data transmission layer transmits various data acquired by the sensing layer to a central control system in real time through an Internet of Things communication technology, and is provided with a data caching mechanism; the central control system comprises a data processing module and is used for preprocessing the received data; the AI analysis module is used for establishing an indoor air quality prediction model, a personnel activity mode prediction model and a ventilation system energy consumption model by applying a machine learning algorithm; the control decision module generates an optimal ventilation control strategy; and the execution layer comprises a fresh air fan and an exhaust fan which adopt a frequency conversion technology, and an air supply outlet and an exhaust outlet which are provided with electric air valves, and further comprises a function of receiving a control instruction of the central control system and controlling ventilation equipment in real time.

The utility model relates to the technical field of air quality monitoring, and discloses an indoor air quality multi-channel rapid monitor, comprising: a monitoring module comprising an instrument part and a detection part, the detection part comprising a mounting box arranged at the bottom of the instrument part, a plurality of air chambers uniformly arranged at the bottom of the mounting box along the left and right, the bottom of each air chamber being open, different types of sensors are respectively arranged in the sensors; the adjusting diffusion module comprises a ventilation box, the bottom of the adjusting diffusion module is provided with a plurality of air inlet channels, the top of the adjusting diffusion module is provided with an air replacement module, all the air chambers are arranged in the ventilation box, and air in the ventilation box is subjected to standing and free diffusion in the ventilation box after being replaced by the air replacement module and is detected through a sensor; the blowback ventilation module is arranged on one side of the ventilation box and used for carrying out blowback and replacement on gas in the ventilation box, and compared with the prior art, the detection device has the advantages that detection is carried out through gas replacement and gas diffusion, and the nitrogen blowback cleaning function is achieved.

The utility model relates to the technical field of air samplers, and discloses an air sampler for indoor environment detection, which comprises a fixed table, a hydraulic rod is fixedly connected to the side wall of the fixed table, a first sliding table is fixedly connected to the output end of the hydraulic rod, a sliding rail is fixedly connected to the side wall of the fixed table, the first sliding table is slidably connected to the side wall of the sliding rail, and a second sliding table is fixedly connected to the side wall of the sliding rail. An inclined plate is fixedly connected to the side wall of the fixed table, a supporting table is fixedly connected to one side wall of the sliding table, a connecting column is rotatably connected to the interior of the supporting table, a connecting plate is fixedly connected to the bottom of the connecting column, a pulley is rotatably connected to the interior of the connecting plate, and a sampling head is fixedly connected to the top of the connecting column. According to the utility model, through the cooperation of the sliding rail, the supporting table, the inclined plate and other structures, the movement and rotation of the sampling head are realized, so that the sampling range of the sampling head is expanded, the sampling structure is diversified, and the indoor air quality detection and evaluation are more accurate.

Readings may be received from a chemical sensor disposed proximate to a battery within a housing of a smart-home device. The readings from the chemical sensor may be processed to determine whether a chemical associated with an internal environment of the battery is present inside the smart-home device. A determination may then be made as to whether the battery is damaged based on whether the chemical is present inside the smart-home device. Alternatively, the device may determine that the chemical originates from outside of the housing of the device. A sequence of mitigation actions may then be executed to remedy the faulty battery or improve the indoor air quality.

The application discloses an installation prompting method, which comprises the following steps: acquiring first module information and second module information; the first module information is information of a first functional module to be installed corresponding to a preset area of the air conditioner; the second module information is information of a second functional module currently installed in the preset area of the air conditioner; determining a recommended installation position according to the first module information and the second module information; the recommended installation position comprises positions of the first functional module and the second functional module respectively recommended for installation in the preset area; and outputting installation prompting information according to the recommended installation position. The application also discloses an air conditioner and a computer readable storage medium. The application aims to improve the accuracy of the installation position of the functional module on the air conditioner, so as to improve the effect of the air conditioner on improving indoor air quality.

The invention relates to the technical field of home decoration, and discloses a non-magnetic mobile base adhesive culture honor wall poster and a preparation method thereof, and the wall poster sequentially comprises a dynamic adsorption layer, a photocatalysis layer, a degradable base material layer and a water-soluble interface agent layer from top to bottom. The preparation method comprises the steps of raw material preparation, compounding of each layer and the like. According to the wall poster, the bio-based material (bamboo fiber / PLA / PBAT) is used as the base material layer to replace traditional petroleum-based PET, the release amount of VOCs is greatly reduced, the photocatalytic layer can decompose pollutants such as formaldehyde, the indoor air quality can be improved, the cycle index is increased to 300 or above through the gradient microsphere structure, and the replacement frequency is reduced. Compared with traditional coating and thermocuring, the electrostatic spraying and UV curing process is more energy-saving and emission-reducing, gradient arrangement of the microspheres is achieved through segmented electrostatic spraying, and the adsorption stability is improved. And by embedding the NFC chip, the product traceability is realized, the circular economy is supported, and the recycling rate is improved.

The invention provides an indoor positive pressure intelligent regulation and control system and a control method, and relates to the technical field of smart home, and the system comprises an environment sensing module which is used for collecting a group of data in real time, and the group of data comprises the operation state data of target exhaust equipment, indoor and outdoor air pressure difference data and indoor air quality data; the intelligent control center is electrically connected with the environment sensing module and used for obtaining a set of data, calculating the target air supply volume based on the set of data and dynamically regulating and controlling the execution module according to the target air supply volume so that the indoor air pressure of the target indoor space can be maintained within a preset positive pressure interval; and the execution module is electrically connected with the intelligent control center and used for receiving the regulation and control instruction sent by the intelligent control center and adjusting the air supply amount and / or the air supplement amount based on the regulation and control instruction. According to the technical scheme, the purpose of intelligently regulating and controlling the indoor air pressure is achieved.

The invention relates to a bamboo edge band and a continuous preparation method thereof, and belongs to the technical field of bamboo processing and furniture manufacturing. The problems that in the prior art, a resin edge band is poor in environmental protection property, and a wood edge band is low in preparation efficiency and prone to deformation and cracking are solved. The bamboo edge banding is obtained through continuous hot pressing of an assembly, and the assembly is composed of a lower-layer dry gum dipping net-shaped fabric and an upper-layer bamboo curtain. In the aspect of environmental protection, the bamboo material serving as a natural renewable resource meets the green and environment-friendly requirements, and is beneficial to guaranteeing the indoor air quality; in the aspect of stability, the impregnated net-shaped fabric in the structure has strength and toughness after being dried, the impregnated net-shaped fabric and the bamboo curtain assembly are mutually cooperated after being subjected to hot pressing, supporting and restraining can be provided for the bamboo curtain, deformation is reduced, and compared with wood edge sealing strips, the bamboo curtain edge sealing strip is higher in structural stability and beneficial to long-term use; and in the aspect of the decorative effect, the texture of the bamboo furniture main body is more coordinated and unified, the overall attractiveness is improved, and higher product value is created.

The invention provides indoor air quality monitoring equipment and a sensor cooperative control system, relates to the technical field of indoor environment monitoring, and is used for solving the problems of response delay, temperature drift accumulation and alarm accessibility reduction in long-term operation of an air monitoring device. The device realizes feed-forward identification and closed-loop suppression of sample injection degradation, filter material pollution and dislocation, heat drift in the machine and acoustic attenuation: a sampling confirmation window is adaptively adjusted to reduce misjudgment, channel-level temperature drift compensation and power consumption derating are cooperatively executed according to priorities to realize steady-state temperature control, and a prompt link keeps subjective loudness consistent based on equivalent gain; meanwhile, the baseline is refreshed after maintenance to maintain long-term consistency; therefore, under the condition that the mechanical appearance is not changed, the monitoring accuracy, stability and alarm accessibility are remarkably improved, and the device-level design value of structural perception driving is highlighted.

The utility model relates to the technical field of air conditioners, and discloses a building heat supply and ventilation air conditioning device which comprises an air outlet bin and an air suction bin at the bottom of the air outlet bin, an air outlet is formed in the air outlet bin, a heating box is arranged behind the air outlet and fixedly installed in the air outlet bin, and the air suction bin is arranged in the air outlet bin. And the back of the heating box is fixedly connected with a mixing bin. Air in a building is sucked in through the air collecting pipe, fresh air in the preheating bin is sucked in through the fresh air pipe, indoor air sucked in through the air collecting pipe and outdoor fresh air sucked in through the fresh air pipe can be mixed in the mixing bin, then flow into the heating box to be heated, and then are exhausted into the building through the air outlet. When external cold air enters the preheating bin, fresh air can be preheated through the temperature emitted by indoor hot air in the heat conduction pipe, and therefore the effects that indoor ventilation is guaranteed, meanwhile, exhausted heated air is fully utilized, heat supply is guaranteed, and meanwhile, the indoor air quality is improved are achieved.

The utility model belongs to the technical field of indoor aerosol, and discloses a system for monitoring and controlling indoor air quality and aerosol on line, which comprises a control device, a communication device and a purification device which are connected in sequence, an air quality sensor is arranged in the communication device, a USB interface and an infrared signal emission port are formed in the side face of a shell of the communication device, the control device is connected to the air quality sensor through the USB interface, and the communication device is used for transmitting air quality signals and receiving instruction signals of the control device. The command signal is transmitted to the purification device through the infrared signal emission port; and the purification device receives the instruction signal and adjusts the operation mode according to the instruction signal. The indoor environment air quality can be monitored on line in real time, the gas concentration threshold value is automatically recognized, and the operation mode of the purification device is controlled.

A method, controller and computer program product for operating an industrial air cleaning system (1) arranged within a facility (100), perimeters (P1-n) being defined within the facility (100). Operating the industrial air cleaning system comprises a propagation assessment sequence (A) and a preemptive action sequence (B). The propagation assessment sequence (A) comprises detecting an actionable instance of an industrial activity (X) within the facility (100); and identifying impacted perimeters (PI1-m) estimated as impacted by the actionable instance. The preemptive action sequence (B) comprises identifying a subset (S10) of air cleaning devices (101-n) associated with the impacted perimeters (PI1-m); determining setpoint parameters of the subset (S10) of air cleaning devices (101-n) based on data representative of the actionable instance and indoor air quality target values; and controlling the subset (S10) of air cleaning devices (101-n) in accordance with the setpoint parameters.

The invention discloses a building indoor air quality detection method and system, a medium and a program product, and relates to the field of indoor air quality detection.The method comprises the steps that air quality detection data of multiple detection point positions in a target building are obtained, and a detection data set is generated; when pollution warning data appears in the detection data set, a data sharing request is sent to surrounding buildings in a preset communication range, and a verification data set is received; according to the detection data set, the verification data set and the environmental meteorological data, calculating the pollution confidence of the pollution warning data and the pollution correlation coefficient of the pollutant concentration between the buildings; determining the pollution source type of the pollution warning data according to the pollution confidence coefficient and the pollution correlation coefficient; and generating an air pollution prompt and a pollution prevention and control scheme according to the pollution warning data and the pollution source type. By implementing the application, the accuracy of building indoor air quality detection can be improved, and false alarm of equipment is avoided.

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 discloses a ventilation control system and method for a biological safety facility, and relates to the technical field of ventilation control. Pressure sensors are deployed indoors and outdoors, and indoor and outdoor air pressure is monitored to judge whether the current indoor negative pressure environment is qualified or not; if the current indoor negative pressure environment is qualified, indoor air quality is obtained, and an air quality abnormal value is calculated; calculating an abnormal rising value of the indoor temperature; obtaining the number of indoor personnel and calculating a personnel fluctuation value; according to the air quality abnormal value, the temperature rising abnormal value and the personnel fluctuation value, whether the ventilation air volume of the current biological safety facility needs to be controlled and adjusted or not is determined; therefore, whether the negative pressure environment goes wrong or not can be detected in time, ventilation of biological safety facilities is controlled in time according to actual conditions, the indoor negative pressure environment is adjusted, it is ensured that pollutants cannot be accumulated or diffused in a laboratory, the risk that workers are exposed is reduced, and the pollutants cannot be leaked into the environment; and the safety of external personnel and the surrounding environment cannot be endangered.

Systems and methods for executing an IAQ analysis of a building. One system includes a controller including memory and one or more processors configured to obtain IAQ data from one or more sensors within the building, wherein the IAQ data is associated with at least one of a plurality of environment species, obtain BAS data, identify one or more unknown parameters from the IAQ data and BAS data of two or more of the plurality of environment species, estimate the one or more unknown parameters based on inputting the IAQ data and the BAS data into an optimization model, and wherein the optimization model analyzes predicted concentrations of the plurality of environment species subject to the two or more of the plurality of environment species evolving according to a single-species concentration model, and provide the estimated one or more unknown parameters to one or more predictive models.

Systems and methods of holistically controlling a heating, ventilation, air conditioning, and refrigeration (HVACR) system and a multi-contaminant air cleaner (MCAC) are disclosed. The method includes sensing, via at least one HVACR sensor, at least one comfort parameter; sensing, via at least one MCAC sensor, at least one air-quality parameter; determining, via a controller, minimum air changes of the HVACR system based on the at least one comfort parameter; and determining, via the controller, equivalent air changes of the MCAC and an indoor air quality (IAQ) score based on the at least one air-quality parameter. The method also includes controlling an operation of the HVACR system and controlling an operation of the MCAC based on the determined air changes to optimize an energy consumption.