438 results about "Air quality index" patented technology

Disclosed is a process for the treatment of a plant fluid effluent containing odor compounds including an alkyl mercaptan or an alkyl thiol, an amine compound, ammonia, hydrogen sulfide and mixtures thereof by contacting the plant effluent in either a counterflow or cocurrent flow process. In the process, the effluent is contacted with an aqueous solution comprising a peracid compound. When contacted with the peracid, odor compounds in the effluent are oxidized and converted from the gaseous phase into a chemically modified highly aqueous soluble phase in the aqueous treatment. In this way, odor removal from the gas is preferred and odor compounds are efficiently transferred into the aqueous treatment solution. The use of such a process produces a significant improvement in odor quality index as measured by a conventional process using an expert panel when compared to conventional treatment methods.

The invention relates to a method and a system for adjusting air quality of high-rise buildings by virtue of natural conditions. The method comprises the steps of acquiring index data of air quality of a local area, detecting indoor and outdoor air quality, humidity and temperature as well as outdoor wind power, transmitting detection data to a main control system, working out an air quality control strategy by the main control system according to related data of various detections as well as the index data of the air quality of the local area, sending the air quality control strategy to a local controller by the main control system, and controlling a total heat fresh air ventilator to start and stop ventilating by the local controller. The system comprises various air quality detection devices, a ventilation and air change device, the local controller, a local area network and the main control system, wherein the main control system is connected with an air quality index publishing system. According to the system and the method, both the indoor air condition and the outdoor air condition of the high-rise buildings are taken into account, existing facilities of the high-rise buildings are fully used, relatively ideal air at the best time is gathered, and the air quality of the high-rise buildings is controlled and regulated at low cost when the air contamination is uncertain.

The invention relates to a power quality comprehensive evaluation system in the technical field of the electric power application; in the invention, a power quality collecting module obtains all items of power quality indexes from an electric fence; a power quality index grading module divides the power quality indexes obtained from the power quality collecting module into setting grades according to national standard or international generally recognized requirements; a probability distribution matrix obtaining module obtains probability of the power quality in each grade, and then the probability of the power quality index in each grade is obtained for obtaining a probability distribution matrix; a weight vector obtaining module obtains weight vector of the power quality index; an evaluation quantized value obtaining module obtains the only quantized value of the power quality comprehensive evaluation according to the probability distribution matrix and the weight vectors of all the indexes; a power quality evaluation module compares the only quantized value with the evaluation system for obtaining power quality evaluation result. The system can really reflect the probability characteristics of the power quality indexes and can comprehensively and objectively carry out comprehensive evaluation to the power quality.

The invention discloses an intelligent purification cabinet type fresh air ventilator. The intelligent purification cabinet type fresh air ventilator comprises a controller and a VOC (Volatile Organic Compounds) concentration sensor connected with the controller, wherein the VOC concentration sensor is arranged in an air return space; the controller is used for adjusting operating air velocities of an air blower and an exhaust fan in real time according to VOC concentrations detected by the VOC concentration sensor at a fixed time interval. Furthermore, the controller is also used for automatically obtaining outdoor air quality indexes periodically, and controlling the air blower and the exhaust fan, and when the outdoor air quality levels are serious pollution and severe pollution, the air blower and the exhaust fan are powered off. According to the intelligent purification cabinet type fresh air ventilator, the VOC concentration sensor, a humidity sensor and a plurality of temperature sensors are arranged inside a shell, so that the intelligent control of the complete machine is realized. The structure inside the shell is reasonably designed, and a three-stage purification device and a negative ion generator are arranged in an air supply channel, so that the quality demand on indoor air is met, and the purification efficiency of fresh air is ensured.

A method and system for efficiently managing indoor air through cooperation between a mobile device and a stationary air conditioner. The system may include at least one stationary air conditioner and at least one mobile assistant device that move with a predetermined management area and cooperates with the air conditioner. The air conditioner may include an air quality improving unit improving a value of a predetermined air quality index into an appropriate range, a first forced flow unit generating a main flow to transport improved air toward the abnormal region, and a control unit controlling the air quality improving unit and the first forced flow unit to perform a main operation on the abnormal region and transmitting a command instructing the assistant device to perform an assistant operation on the abnormal region to the assistant device.

Provided is an air purification structure (1). The air purification structure comprises a cylindrical piece with a cavity. An air inlet (111) is arranged in the upper end of the cylindrical piece and an air outlet (152) is arranged in the lower end. An air filter (12), an air quality sensor (18), an air suction assembly (117) and a control circuit board (19) are arranged in the cavity. The air inlet (111), the air filter (12), the air outlet (152) and the air quality sensor (18) are up-down successively arranged in / on the cylindrical piece. Via the air suction assembly (17), external air can be sucked into the cavity through the air inlet (111), thereby achieving air purification. The air quality sensor (18) is used for detecting air quality index. The control circuit board (19) transfers the air quality index outwards, thereby achieving on and off of the air purification structure (1) according to the air quality index. The air purification structure (1) is capable of providing guiding strategies for the air and performing real-time purification for the air according to the air quality index. Meanwhile, the invention also provides an air purification system including the air purification structure (1).

The present invention provides the in-situ detection of product quality index in Chinese medicine production process and relates to one Chinese medicine producing shop, where relevant technological parameters and quality indexex are in-situ detected directly. The shop is equipped with in-situ detection system, which needs no any sample from the technological process. The system is equipped with one near infrared spectrometer and one industrial control comdputer and its in-situ real-time analysis system adopting least-square method and neural network method can be used in predicting the quality indexes in the production and providing analysis data. The method may be used in different Chinese medicine production shops.

The invention provides an air conditioner, an air conditioner dust removal control method and an air conditioner system. The air conditioner comprises a dust removal device, and the communication is realized between the air conditioner and a control terminal of an internet of things, as well as between the control terminal of the internet of things and a cloud server via a routing device. The dust removal control method comprises the following steps of enabling the air conditioner to send the information of geological positions to the cloud server via the control terminal of the internet of things and the routing device; enabling the air conditioner to receive the sent air quality index information corresponding to the geological position information from the cloud server; enabling the air conditioner to control the dust removal device according to the air quality index information. The air conditioner, the air conditioner dust removal control method and the air conditioner have the advantages that the trouble of manual operation is avoided, the waste at the dust removal function of the air conditioner is avoided, better intelligence is realized, and the use effect of the dust removal device is ensured.

The invention discloses a small-scale air quality index prediction method and system for a city, which firstly divides a city area into a plurality of to-be-predicted locations in a grid form; and then acquires historical data related to each model, and based on historical data: establishing corresponding correspondences The current time prediction and the time prediction model predicted at each moment in the future time, establish a spatial prediction model for air quality prediction at the specified coordinates, and establish a dynamic prediction model that characterizes the relationship between traffic data and geographic interest point data and air quality index, an indoor and outdoor prediction model that characterizes the relationship between the indoor air quality index and the outdoor air quality index; when performing the prediction, the established time prediction model, the spatial prediction model, and the dynamic prediction are performed for any real-time moments to be predicted. The model and the indoor and outdoor prediction models are cooperatively trained to fuse the prediction results of all the models, that is, the predicted values of the air quality index at each moment in the respective current and future time periods of each to-be-predicted location.

The invention discloses a water reclamation plant raw water quality online early warning system and a control method thereof. The water quality online automatic monitoring system is used for acquiring a water reclamation plant raw water sample, testing six items of water quality indexes including pH, COD, TN, NH3-N, TP and SS in an online manner, and regularly transmitting water quality online monitoring data to a data center according to a promissory acquisition period of time; the data center is used for controlling the water quality online automatic monitoring system and storing the water quality online monitoring data; and a main control computer is used for automatically reading the water quality online monitoring data and providing early warning for abnormally undulated water quality indexes according to the pollution degree. The system and the method disclosed by the invention can accurately and quickly detect the abnormally undulated water quality indexes of the water reclamation plant raw water quality, and provides early warning and emergency processing for the water quality undulation degree, can lower the cost of water treatment on the premise of ensuring the treated water quality, achieves the monitoring and real-time early warning forecast of the water reclamation plant raw water quality, and reduces loss.

The invention discloses a comprehensive evaluation method for environmental air quality. The comprehensive evaluation method mainly comprises the following steps: calculating ratios (pollution indexes) of the concentrations of various pollutants to corresponding first-grade concentration limit values in an environmental air quality standard, and with ratios of the pollution indexes to a sum of the pollution indexes as a weight, amplifying a sum of products of the pollution indexes and the weight by 100 times to obtain a new air quality index (NAQI for short). A calculation method the NAQI is as follows: formulas are as shown in the specification. According to the method, in consideration of the comprehensive influence of various pollutants, based on a first-grade air quality standard, the air quality is evaluated according to the dynamic weight. Compared with the prior art, the method is more scientific and accurate, and is simpler and more convenient to calculate.

The invention relates to the field of air conditioning equipment and discloses an automobile air-conditioning control method based on online correction. The method comprises the following steps: according to the longitude and latitude of a vehicle, a server obtains any one or several of the weather information, the current road condition information, road type information and elevation information around the vehicle; according to any one or several of the road type information, the positions and number of solar sensors, the advancing direction and the angular separation of direct solar radiation, the server determines or corrects an illumination value; according to one or several of the outside air quality, the number of the sensors, the road condition information and outside temperature, the server determines or corrects an air quality index; the server sends the obtained or processed date to an automobile air-conditioning processor, and the automobile air-conditioning processor controls an air conditioner according to the parameters. By adopting technology, the method can improve the comfort of the vehicle and reduce the cost.

The invention discloses a method for performing nonlinear prediction on coke quality on the basis of cohesiveness and coal-rock indexes of single coal, which provides important technical guarantee for improving the stability and quality of coke produced by coke making enterprises. The method comprises the following steps of: establishing an information database storing qualities and coke quality indexes of the single coal for coking, and inputting the cohesiveness indexes and the coal-rock indexes of the single coal for coking into the coal information database; establishing a coal quality prediction model, and predicting quality indexes of matched coal by virtue of a clustering and support vector machine; defining the quality indexes of the matched coal, and predicting quality indexes of the coke according to the quality indexes of the single coal; and establishing a model for predicting the crushing strength and abrasive resistance of the coke. The invention further provides a coke quality prediction system with optimized coal blending of coal-rock, which aims to stabilize and improve the coke quality and reduce the coal blending cost, can form a prediction model with multiple parameters and high accuracy for the coal quality indexes and the coke quality indexes, and simultaneously, has a real-time updating function or a manual intervention function.

The invention provides an ecological environment remote sensing monitoring method. The method is used for monitoring ecological environment of a monitor area comprising a water body. The method comprises steps of S1, receiving and processing remote sensing image data of the ecological environment monitor area, and acquiring processed remote sensing data; S2, creating a water quality parameter inverse model, and inputting remote sensing data of step S1 into the model, and calculating water quality index of the monitor area; S3, calculating four remote sensing characteristic parameters of the monitor area: vegetation index, bare earth index, humidity index and ground temperature; and S4, creating an ecological environment comprehensive evaluation model of a water containing body by using a main component analysis method, and inputting five remote sensing characteristic parameters of steps S2 and S3 into the ecological environment comprehensive evaluation model of the water containing body, so as to monitor the ecological environment of the monitor area. In the method, the ecological environment is monitored by using remote sensing images, so that human intervention is prevented, andthe ecological environment is monitored more effectively and accurately.

The invention provides a method and a device for predicting air quality index. The method includes the following steps: acquiring a corresponding prediction model according to a to-be-predicted geographical position and current time; acquiring meteorological data of the to-be-predicted geographical position; according to the meteorological data and on the basis of the prediction model, performing operation processing, and determining the air quality index of the to-be-predicted geographical position within to-be-predicted time. By the method and the device, prediction of future air quality index can be completed only through meteorological information which is little and easy to acquire, so that realization difficulty and access threshold of AQI prediction are lowered. In addition, corresponding prediction models are built aiming at each geographical position in different prediction time intervals, so that weather characteristics of local areas can be reflected better, and a powerful guarantee is provided for determining AQI high in accuracy.

The invention discloses a robot for detecting underwater topography and a water quality index in a reservoir area. The robot comprises a ground base station system and a robot system. The ground base station system is arranged on shore, the robot system is arranged in water, the ground base station system is connected with the robot system through a cable, and the robot system is controlled to work through the ground base station system; the work states of the robot system comprise the on-water state and the underwater state and when an underwater topographic map needs to be drawn, the work state of the robot system is the on-water state; when the underwater water quality index needs to be detected and underwater images need to be obtained, the work state of the robot system is the underwater state. The GPS technology and the ADCP technology are combined by the multifunctional robot and the robot is small in size, light in weight, low in cost, convenient to transport, and capable of achieving operation of the robot system by only one person. Through change of the work states of the robot system, the underwater topography is detected, the underground topographic map is drawn, different kinds of water quality data are obtained, and a good platform is brought to development of a scientific research activity.

The invention provides a near-infrared universal model detection method for quality indexes of fruits with similar optical and physical properties. According to the near-infrared universal model detection method, a near-infrared universal model is established; the near-infrared universal model is utilized for determining two parts of fruit quality indexes; the near-infrared universal model is established based on the similarity of near-infrared spectrums between the different types of the fruits based on the similar optical and physical properties. The basic modeling concept is that after the spectrums are collected and are pre-processed, a common characteristic wavelength range of all the types of the fruits is screened by using a moving window partial least square method; common characteristic wavelength points are further extracted in the common characteristic wavelength range by using an SPA (Super Pairwise Alignment) algorithm; finally, a PLS model or an MLR (Multiple Linear Regression) model is established by using existing software. According to the method, the determination accuracy is high and the feasibility is strong; the disadvantages that the different types of the fruits need to be detected by classes in an existing near-infrared detection technology are overcome; the modeling cost is reduced, the working efficiency is improved and the number of the modeling wavelength points is few; the near-infrared universal model detection method is applicable to a common optical filter type near-infrared instrument.

The invention discloses a new lubrication oil quality spectrum rapid determination method, which comprises the following steps: (1) collecting representative lubrication oil samples as a training set; (2) determining the infrared spectrum of the training set sample; (3) selecting an appropriate variable optimum technique to preferably select appropriate characteristic wavelengths and establishinglinear regression equation between each quality index and the characteristic wavelength by taking the absorbance of the characteristic wavelength as a variable; and (4) firstly determining the infrared spectrum of an unknown lubrication oil sample for quality test, selecting the absorbance of the same characteristic wavelength and determining each quality index of the lubrication oil by the established linear regression equation. The method can rapidly determine the chemical composition content, physical and chemical properties and 21 quality parameters of major elements and additive elements, the analysis speed is high, the operation is simple, and the quality monitoring capability of the lubrication oil is improved.

The invention relates to the technical field of indoor air purification products and test and in particular relates to a composite air purification filter for controlling an indoor air quality index (AQI) and a performance test method of the composite air purification filter. The filter comprises a shell, wherein the following filter layers are laminated between an air inlet and an air outlet of the shell: a PM2.5 particle filter layer for adsorbing micro particles in a room, a chemical filter layer for adsorbing sulfur dioxide and nitrogen dioxide in the room, a first catalytic filter layer for catalytically decomposing organic pollutants, a second catalytic filter layer for removing ozone, and an adsorption filter layer for adsorbing residuals. The filter can purify and filter pollution harmful bodies such as PM2.5, sulfur dioxide, nitrogen dioxide and ozone; the invention also provides a performance test calculation method for the filter, thus setting detection standards for indexes such as the performance and the service life of the filter.

The invention relates to an automatic and intelligent-adjusting consumable-free air purifier. A consumable-free automatic and intelligent-adjusting air purifier device is absent at present. The automatic and intelligent-adjusting consumable-free air purifier comprises a catalyst packing net, an air detecting sensor module, a screen module and a fan module. The automatic and intelligent-adjusting consumable-free air purifier is characterized by further comprising an electrostatic dust removal device and a top cover, wherein the electrostatic dust removal device comprises an electrostatic dust removal device control module and a plurality of vertical metal plates; the screen module comprises a display screen and an Android control system circuit board; the Android control system circuit board is used for analyzing and processing data detected by the air detecting sensor module, and converting current air pollutant data into an air quality index; and the electrostatic dust removal device control module is used for controlling voltage of the electrostatic dust removal device and regulating dust removal efficiency; the fan drive module is controlled to regulate air quantity of the fan and regulate purifying treatment amount, so that a purifying rate is increased when ambient air quality is relatively poor and the purifying rate is reduced when the ambient air quality is relatively good. The automatic and intelligent-adjusting consumable-free air purifier is free of consumables.

The invention provides an indoor air quality prediction method and device based on a neural network and electronic equipment, and relates to the field of indoor air quality prediction, and the methodcomprises the steps: obtaining a to-be-predicted indoor air quality index of a target indoor space, a predetermined indoor environment index and a parameter value of the predetermined indoor environment index; selecting a target neural network indoor air quality prediction model from a plurality of pre-trained neural network indoor air quality prediction models based on the indoor air quality index to be predicted and the predetermined indoor environment index; and taking the parameter value of the predetermined indoor environment index of the target indoor space as the input of the target neural network indoor air quality prediction model, and outputting a to-be-predicted indoor air quality index value. The method is more flexible, more convenient and faster, the prediction precision is higher and the reliability is high while a comprehensive air quality evaluation result is obtained.

The invention relates to a hyperspectral image detection method for the quality indexes of mutton, especially to a method for acquiring multiple preferred modeling spectra by making full use of hyperspectral image information so as to improve detection effect of the quality indexes of mutton. The method comprises a first step of establishing a prediction model for the hyperspectral image quality indexes of mutton and a second step of detecting the quality indexes of mutton by using the prediction model. According to the invention, a plurality of preferred spectra are selected for each sample by making full use of hyperspectral image information so as to establish the prediction model, so the a modeling sample amount can be scaled up by times, and the problem of a limited modeling sample amount caused by difficulty in measurement of the chemical values of samples is overcome; the modeling effect of the established model can be improved, and the calibration set and validation set of the model are higher in precision; characteristic wavelengths are extracted on the basis of selection of multiple preferred spectra, extraction results are stable and convergent and better modeling effect is obtained; the optimized prediction model is used for detection of the quality indexes, and detection performance can be improved; and the hyperspectral image detection method provided by the invention is of significance to improvement of the intelligent detection levels of mutton and other meat products and to guaranteeing of the quality safety of meat products.

The invention relates to a method for real-time monitoring the pollution level of a filter layer of an air purification machine, comprising a detection method of air quality. The method is characterized in that air quality sensors are arranged at the air inlet end and the air outlet end of the filter layer and used for detecting the air quality at the two sides of the filter layer; and an operation circuit judges the pollution level of the filter layer according to air quality signals detected by the two air quality sensors. When the filter layer is severely polluted so that the purification effect is poor, an alarm signal can be sent out to remind a user of timely changing or washing the filter layer, thereby ensuring the use effect of the air purification machine.

The invention discloses an air conditioner and a control method for the air conditioner. The air conditioner comprises a temperature sensor, an air quality sensor and a processor, wherein the temperature sensor is used for collecting the indoor temperature and sending the indoor temperature to the processor; the air quality sensor is used for collecting indoor air quality data and sending the air quality data to the processor; the processor is used for carrying out fuzzy processing on the received indoor temperature and outputting the frequency of a compressor and the rotating speeds of motors of an indoor fan and an outdoor fan so that the air conditioner can adjust the frequency of the compressor and the rotating speeds of the motors of the indoor fan and the outdoor fan; the processor is further used for obtaining air quality indexes according to the air quality data, carrying out fuzzy processing on the air quality indexes and outputting the area of an air exchange opening so that the air conditioner can adjust the area of the air exchange opening. By means of the air conditioner and the control method for the air conditioner, the effect that the human body comfort is excellent can be achieved.

The invention relates to a PM2.5 (particulate matter 2.5) concentration value prediction method based on a memory neuron network. The method comprises the following steps of: step 1, acquiring raw data, step 2, preprocessing various raw data by an unsupervised training method to generate an initial optimization parameter, and step 3, forecasting a PM2.5 concentration value by using the memory neuron network, wherein the raw data comprises PM2.5 concentration value history data, pollutant index (such as AQI (air quality index), PM10 (particulate matter 10), NO2, CO, SO2 and O3) history data andmeteorological history data. The PM2.5 concentration value prediction method based on the memory neuron network accurately describes a long-term change rule of the PM2.5 concentration value and improves the precision of prediction.

The invention relates to a water quality in-situ pre-treatment method in a water source region. According to the method provided by the invention, a water channel is arranged according to a terrain of the water source region by taking a water fetching opening of a water supply plant as an end point, a photocatalytic purification region, a combined ecological floating bed purification region and an aquatic plant purification region are separately arranged along the water channel, and in-situ pretreatment is carried out on an inflow of the water supply plant in the water channel. The water channel is enclosed by isolating barriers, and a block for intercepting garbage and floating plants is arranged at the water inlet end of the water channel. The three purification regions can be combined in adaptation to local conditions. Compared to the prior art, the method provided by the invention effectively couples four in-situ water quality purification technologies: photocatalysis, ecological floating bed, ecological contact oxidation filler and plant repair. The method is simple in structural design, low in material cost, small in interference by construction and operation on the outside world, simple to maintain and manage, free of additional added chemical agents and safe and free of secondary pollution and can be used for effectively improving the inflow water quality of the water supply plant, so that the main water quality indexes are enhanced by at least one grade.

The invention relates to an air quality index prediction method, in particular to an air quality index prediction method based on spatial and temporal distribution characteristics. The method adopts a time series prediction method to predict time orientation, i.e. an air quality index at certain time in the future; and then, a Kriging interpolation method is adopted, and the known latitude and longitude coordinates of a monitoring site are combined with a time series prediction result to carry out interpolate estimation on the air quality index of any place of a whole area. Therefore, the air quality index prediction method has the following advantages that the complexity of a model is lowered, whole calculation time is shortened, and meanwhile, the accuracy of the model is guaranteed; and in addition, the air quality indexes in multiple time periods in one day at each place within the area can be more accurately predicted.

The present invention provides a method for predicting AQI (Air Quality Index), comprising the following steps: obtaining historical weather data of a predicted area, wherein the historical weather data comprises historical AQI values, and historical meteorological data; preprocessing the historical weather data, wherein the preprocessing comprises checking compliance, converting the historical weather data into data suitable for computer processing, and generating derived fields; building a plurality of AQI prediction models based on a feature selection model, a regression analysis model, and a time series analysis model; evaluating the built AQI prediction models, and selecting the AQI prediction model with the highest prediction accuracy to serve as the optimal AQI prediction model; deploying the optimal AQI prediction model to the predicted area; and displaying AQI relevant indexes of the predicted area. The method does not need a mass of data and hardware equipment with high configuration, is simple and scientific, and can accurately predict the AQI of the specific area.

The invention relates to the technical field of detection, in particular to an evaluation method for the black tea fermentation quality based on a near-infrared spectrum technology. The method comprises the following steps of preparation of black tea samples, collection of spectrum information, measurement of fermentation quality indexes, division of sample sets, pretreatment of spectrum information, screening of characteristic wavelength variables, establishment of a fermentation quality prediction model and prediction of all fermentation quality indexes. According to the evaluation method, sample pretreatment is simple, the fermentation quality can be accurately and quickly identified, the method is high in operability, and influence of subjective consciousness in artificial sensory organ evaluation and complex operation of a traditional chemical analysis method are avoided; the result is objective and accurate, the objectivity and accuracy of the black tea fermentation quality are improved, the theoretical basis is provided for further implementation of an automatic, intelligent and precise fermentation control technology, and the method has great realistic significance and application prospects in detection of tea quality indexes.