88 results about "Comfort index" patented technology

The present invention discloses an energy-saving thermal comfort controller and a control method for heating, ventilating and air-conditioning systems based on thermal comfort index, energy-saving control and neural network arithmetic. Wherein, the controller calculates and displays thermal comfort index based on air temperature, humidity, wind speed, radioactive temperature and user activity details and wearing details. The air temperature and humidity are measured by a sensor. The radioactive temperature is equivalent to the air temperature. The wind speed is obtained by calculating input power of a fan. User activity details and wearing details are defined by users themselves or conform to default values. The energy-saving control method divides heating, ventilating and air-conditioning system into three operating phases, viz. quick refrigerating/heating, comfortable operation and energy-saving operation and provides corresponding set comfort index. In addition, the neural network arithmetic conducts calculation and outputs control signals according to difference between set comfort index and actual index to control the heating, ventilating and air-conditioning system respectively through a AC and a DC drive circuit, thus realizing the highest comfort and the lower energy consumption.

A controlling method executes an auto-calculation procedure of a controlling system when a person is detected indoor. The auto-calculation procedure firstly collects current environment parameters via sensors for calculating a current comfort-index based on the sensed environment parameters. Secondly, it calculates a target temperature/humidity adjustment value for the environment to reach a best comfort-index based on the current comfort-index. Then, it controls indoor apparatuses based on the calculated target temperature/humidity adjustment value to adjust the environment to be in the best comfort-index. The controlling system can execute a learning procedure, it records the current environment parameters and a user-feedback to build a learning model. Therefore, it helps the environment to satisfy user demands quickly by using the learning model directly when the indoor environment has the environment parameters same as the learning model.

The invention discloses a two-axle bogie of an electric locomotive with the 30-ton axle weight. The two-axle bogie is of a two-axle structure and is mainly composed of two wheel set axle box assemblies, two driving units, a framework, four primary suspension devices, a secondary suspension device, a traction device, two motor suspension devices, two braking devices and four tread cleaning devices. According to the improved design of the bogie, the reasonable traction mode and the best suspension parameter configuration are adopted, the heavy-load locomotive can achieve the best adhesion utilization rate and have the good curve negotiating performance, the reliable requirement is met, the power capacity and the traction capacity of the locomotive are developed to the greatest extent, the comprehensive performance of the locomotive is optimized, the running safety, smoothness and comfort indexes are good, the two-axle bogie can be used for greatly improving the carrying capacity of a railway, a research and development platform for the bogie of the electric freight locomotive with the large axle weight, a relevant test system and a relevant standard system are built, and the technical gap for the electric locomotive with the large axle weight is filled in.

The present invention supports the remote control of an environmental unit based on an effective temperature that is indicative of a comfort index to an occupant of a controlled environmental space. The remote controller obtains a plurality of environmental factors, e.g., temperature, relative humidity, and air speed, in order to determine an effective temperature. When the effective temperature is sufficiently different from a set point temperature, the remote controller activates an environmental unit to change the effective temperature in accordance with the set point temperature. The environmental unit may include an air conditioner, furnace, or heat pump. Also, the remote controller may communicate with at least one remote sensor over a wireless communications channel in order to obtain the environmental factors for determining the effective temperature.

The invention relates to a method and device for controlling equipment. The method comprises the following steps: the environmental parameters are acquired; whether the current environment meets a preset environmental comfort index or not is judged according to the environmental parameters; when not satisfied, a target environmental parameter to be adjusted is determined; the equipment capable ofadjusting the target environmental parameters is controlled. The method for controlling equipment can automatically control based on various environmental parameters, automatically distinguish which parameter needs to be adjusted under the condition that the environment is not comfortable, and automatically control corresponding equipment to adjust the parameter; the method and device for controlling equipment can achieve intelligent control of a plurality of objects and comprehensively regulate and control indoor environment conditions.

A keyboard key arrangement method and a hand-held electronic device using such a method are provided. The method is applied to a hand-held electronic device which has a touch screen, wherein the touch screen is capable of displaying a virtual keyboard. A user uses four fingers except for the thumb of each hand to hold the hand-held electronic device, and uses the two thumbs to touch and control the virtual keyboard for inputting data. The virtue keyboard key arrangement method first summarizes use frequency of each key on the virtual keyboard and generates a key use frequency chart, analyzes comfort indexes of the two thumbs of a user touching different key positions of the virtual keyboard and generates a comfort index chart, and finally arranges the virtual keys with relatively high use frequency at positions with relatively high comfort level on the virtual keyboard according to the key use frequency chart and the comfort index chart.

An omni-directional air flow device, for example, a fan or a vent associated with a fan, comprises a swivel control point providing almost a spherical range of motion of the air flow device so that air may flow in any direction. The omni-directional air flow device may comprise a user input device for receiving a program for controlling movement of the air flow device through a pre-determined path within the spherical range of motion and for controlling air flow velocity as the air flow device follows the pre-determined path. Moreover, the device may further comprise a controller and memory for storing data representing the pre-determined path and varying air flow velocities along the path. When provided with temperature and humidity sensors coupled to the processor, the processor may calculate a comfort index and adjust the pre-determined path or air flow velocity accordingly. Links between the sensors and the processor, the swivel point and the processor and the user input device and the processor may be wireless.

The invention discloses a civil aircraft passenger cabin comfort quantitative evaluation method which is used for solving the technical problem of poor accuracy of an evaluation result of an existing comfort evaluation method. The technical scheme is that key indexes are acquired from research data by adopting a factor analysis method; a three-layer civil aircraft passenger cabin comfort index system is established; a mutual influence relationship of all the indexes is analyzed by adopting a DEMATEL (Decision Making Trial and Evaluation Laboratory), and according to importance degrees, weights are allocated; passenger cabin comfort is evaluated by adopting a multistage fuzzy comprehensive evaluation method; and by utilizing a subordinate theory of fuzzy mathematics, subjective fuzzy evaluation of the comfort is converted into quantitative evaluation. Accuracy of the evaluation result is improved.

The invention discloses a method and a device for evaluating the bicycle riding comfort of a road. The method comprises the steps of acquiring vibration data sensed at a handlebar by a bicycle rider during riding in a riding course, bicycle speed data in the riding course and running track data in the riding course via a homemade test device; smoothing the acquired vibration acceleration data via a Savitzky-Golay method, and calculating a bicycle riding comfort index RC and a bicycle riding dynamic comfort index DRC of a road section; and comparing the values of the obtained comfort index RC and riding dynamic comfort index DRC with a bicycle riding comfort threshold, thus accurately and quantitatively judging the comfort grade of the current road and the comfort of the rider in the riding course per second.

The invention provides a comparison and evaluation method for sensory quality of cigarettes and application of the comparison and evaluation method, evaluation indexes composed of elegancy, satisfaction, comfort and easiness are determined, and the elegancy indexes are divided into the following small items: aroma quality, offensive odor, coordination and fineness; Wherein the satisfaction index is divided into the following items: fragrance amount, concentration, clustering property and strength; The comfort index is divided into the following items: irritation, dry feeling, sweetness and cleanliness; Wherein the relaxing index is divided into the following items: fluency and hair permeability; Assigning values to the small items and endowing weights to the small items respectively, evaluating and scoring by smoking evaluation personnel, summing the small items, calculating scores, and judging sensory quality differences of the small items or indexes of the cigarette; And judging thesensory quality difference of the whole cigarette after calculating the total score of the whole cigarette. The method is convenient for accurate scoring, can easily, visually and accurately analyze the overall sensory quality of the cigarette and the difference between all small items, and provides powerful support for continuous optimization and improvement of cigarette products.

The invention relates to a mathematic quantization method for vehicle multi-target coordination type self-adaption cruising control performance, which integrates a two-norm function and a linear inequality constraint and establishes mathematic quantization indexes of fuel economy, tracking performance and driver feeling performance in the vehicle MTC ACC process: firstly, utilizing two-norm of the fuel consumption rate in the driving process to reflect a vehicle fuel consumption total amount and establishing a norm type quantization index of the fuel economy; secondly, utilizing the two-norm of a difference of a vehicle speed and a difference of a vehicle distance in the driving process to describe the tracking performance and establish a norm type quantization index of the tracking performance; meanwhile, utilizing an allowed tracking difference standard for a driver obtained by driver test data statistics and establishing a constraint type index of the vehicle distance difference and the vehicle speed difference; thirdly, carrying out quantization on the driver feeling performance comprising a steady-state following distance index, a longitudinal riding comfort index and a driver dynamic following index which are respectively a constraint type index, a constraint type index and a norm type index. The invention can provide a basis for parameter design and performance evaluation of the vehicle MTC ACC.

The invention relates to an intelligent management method for bus lines, comprising the following steps: estimating the number of passengers waiting at a stop by use of an image processing technology, and establishing a model; recording the plate number of each incoming bus and the line to which each incoming bus belongs, and counting the passengers getting on/off the current bus; and making statistic analysis of and predicting passenger distribution of each bus line according to the population density information of each stop and the passenger information of each bus, and dynamically adjusting the number of buses and time schedule of each bus line. By adopting the method, the safety and comfort index of urban traffic are enhanced, and the level of smart urban management is improved.

An embodiment of the invention provides a smart home automatic control method and device. The method comprises the following steps: receiving a plurality of environmental parameters collected by sensors; calculating a comfort index of a human body under the current environment according to the plurality of environmental parameters; judging whether the comfort index is within an ideal human body comfort level range; and if the comfort index is not within the ideal human body comfort level range, adjusting a plurality of home appliances simultaneously according to a plurality of ideal environment parameter ranges corresponding to the ideal human body comfort level to enable the plurality of home appliances to adjust corresponding environmental parameters respectively. According to the smart home automatic control method and device, through control of the home appliances by an intelligent control device, automatic control of the home appliances is realized instead of manual control of a user; and besides, the intelligent control device controls the plurality of home appliances according to indoor temperature, humidity, light intensity and the plurality of ideal environment parameter ranges to enable the indoor environment to reach an optimum body-sensed comfort level.

The invention discloses an air conditioner and operating method, which is composed of panel to form appearance and control part to change color of panel according to the settings manually or automatically to provide the panel with multiple colors. The invention increases the decorating effect, which keeps comfort sense for user through adjusting color of panel according to the comfort index.

The invention discloses a sleep massage method and system based on cloud data, which enables a user to know the sleeping state thereof at any time and any place and creates a better living environmentfor the user. The sleep massage method comprises the steps of S1, collecting body indexes of the user, a massage mode, the massage strength and a current image of the user to form an influencing factor matrix X, and uploading the influencing factor matrix X, wherein the massage mode and the massage strength form decision-making variables; S2, establishing a complex non-linear relation between theinfluencing factor matrix X and a user sleep comfort index by using an Elman neural network, and obtaining a user sleep massage model; S3, optimizing the user sleep massage model to obtain a set of optimal solutions of the decision-making variables; S4, enabling the set of optimal solutions of the decision-making variables to serve as a recommended decision X' of the user, and sending the recommended decision X' to terminal equipment of the user to display; and S5, providing massage for the user by the terminal equipment according to the displayed recommended decision X'.

The invention relates to a method for calculating a ground bus transit comfort index. The method is characterized by comprising the following steps: by taking the average velocity speed and the section passenger flow at each station in each network as the minimal units, and taking the section passenger flow as a weight, calculating the average line network speed (sic) of the network aiming at each level of network of the ground bus; calculating the comfort index (sij) of the network through the corresponding relationship of the network speed and the comfort index; finally, carrying out weighted calculation by taking the passenger capacities of a fast line network and a common line network, so as to obtain the speed index of the ground bus network. The bus comfort index disclosed by the invention is real-time, quantitative to calculate, and universal for space-time. The method is suitable for evaluation of a random region, can perform real-time calculation in time, and also can perform long-term data calculation.

The invention provides a scenic spot passenger flow volume real-time statistic system and method based on a cloud AC platform. The method comprises the following steps: establishing a long connection channel with an AP cluster disposed in a scenic spot network domain through a specific port of the cloud AC platform; receiving a visitor terminal information message reported by the AP cluster; updating the state of each terminal in a terminal state list to an existing terminal state data item in a database corresponding to the scenic spot network domain; inserting newly added terminal data into the database; according to all terminal data in the database and the popularity rate of mobile terminals in China at present, calculating current passenger flow volume data of the scenic spot network domain; and determining comfort indexes of a scenic spot for queries by visitor terminals. Under the condition of full AP coverage of a scenic spot scope, a method for querying the passenger flow volume and comfort level in real time for visitors is realized, basic facility construction of a WiFi scenic spot is reused, repeated investment is reduced, the travel satisfaction of the visitors is improved, and safety hidden troubles are reduced.

A measured value for a PMV within a living space is sent to a comfort efficacy evaluating device. Occupancy information (the current number of occupants N) in the living space is sent to the comfort efficacy evaluating device. The comfort efficacy evaluating device calculates a comfort index P as P=1.0−|PMV|/3, and this comfort index P is weighted by the number of occupants N at the time that the comfort index P was taken. In this case, if the number of occupants is relatively high, the weighting is high, and if the number of occupants is relatively low, then the weighting is low. Additionally, the weighted comfort index P is integrated over an evaluation interval, and thus integrated value, or a weighted average based on this integrated value, is used as a comfort efficacy index TP. An evaluation of the efficacy of energy conservation can be performed in the same way, taking into account the current occupancy of the living space.

The present invention relates to the field of polyurethane foams for vehicle seats, and discloses a polyurethane composition, and a polyurethane foam body and applications thereof. The polyurethane composition comprises 100 parts by weight of a component A and 40-60 parts by weight of a component B, wherein the component A comprises: 70-90 parts by weight of polyether polyol, 10-30 parts by weightof a polymer polyol, 0.05-0.3 part by weight of a catalyst I, 0.1-1 part by weight of a catalyst II, 0.6-1.5 parts by weight of a surfactant, 1-2 parts by weight of a cross-linking agent, and 2-5 parts by weight of water, the component B is an isocyanate component, the polyether polyol is polyoxypropylene ether triol, the polyether polyol has an acid value of less than 0.03 mgKOH/g and a chrominance APHA of less than 15, the catalyst I contains bis(dimethylaminoethyl)ether, and has an amine value of 5.7-6.2 meq/g, and the catalyst II contains triethylenediamine, and has an amine value of 8.5-9 meq/g. According to the present invention, the polyurethane foam body can simultaneously meet low odor and multiple comfort indexes.

The invention discloses a data analysis-based sleep massage method and system. With the method and system adopted, a user can know his or her sleep condition anytime and anywhere, and a better livingenvironment can be created for the user. The method includes the following steps that: S1, the body indexes of the user, massage modes, massage forces and the current image of the user are acquired toconstitute an influence factor matrix X, and the influence factor matrix X is uploaded, wherein the massage modes and the massage forces constitute decision variables; S2, an Elman neural network isadopted to establish a complex nonlinear relationship between the influence factor matrix X and the sleep comfort indexes of the user, and a user sleep massage model is obtained; S3, the user sleep massage model is optimized, so that a set of optimal solutions of the decision variables is obtained; S4, the optimal solutions of the decision variables are used as recommended decisions X' for the user, and the recommended decisions X' are issued to the terminal device of the user through a server, so that the terminal device displays the recommended decisions X'; and S5, the terminal device provides the user with massage according to the displayed recommended decisions X'.

The invention provides an air-conditioning control method and an air-conditioner. The control method includes the following steps: the temperature and relative humidity of air in the running areas ofthe air-conditioner are obtained; a current comfort index proportional to the relative humidity and temperature is calculated according to the relative humidity and temperature in the running areas ofthe air-conditioner if the comfort index and the relative humidity are greater than a set value; and the air-conditioner is automatically started to run in a comfort dehumidification mode if the relative humidity is greater than the set value and the comfort index is less than the set value, and comprehensive adjustment is performed on the relative humidity and temperature of the current runningarea to make the temperature and relative humidity balanced. Through the automatic starting of a dehumidification function when indoor relative humidity is detected to exceed a certain value, and thedetermination of the dehumidification mode according to the comfort index, users can feel comfortable in the running areas.

The invention relates to a night lamplight observation accuracy improving method based on geographic auxiliary data. The method includes the following steps: first, constructing resident activity indexes through the geographic auxiliary data such as body comfort indexes, topographic relief degree indexes and cover indexes, second, building a regression model through the correlation between a night lamplight unsaturation linear region and the resident activity indexes, and third, inversing a night lamplight saturation region and a region without lamplight through the regression model. According to the method, processed lamplight data are acquired by applying the model built according to the unsaturation linear region to the saturation region and the region without data, saturation of the night lamplight data is reduced, night lamplight data of the region without the lamplight are also acquired, and therefore accuracy in observing resident activities through the night lamplight is improved.