43 results about "Comfort index" patented technology

The invention discloses an indoor ecological environment design method and system based on digital twinning and a storage medium, and relates to the technical field of indoor environment design. According to the indoor ecological environment design method based on digital twinning, an indoor digital twinning model including a space structure, material attributes and equipment layout is constructed, ecological environment data is periodically acquired and updated, and a comprehensive ecological state index is analyzed and generated; and when the indexes deviate from a preset interval, multi-scheme regulation and control simulation is executed in the twin model, equipment is driven to execute after standard reaching schemes are screened, and accurate recognition and stable regulation and control of ecological abnormities are achieved. And a comprehensive ecological state index is constructed, so that unified quantitative evaluation of the indoor ecological environment is realized, the problem of existing sensing data splitting is solved, and the normalization, accuracy and cross-scene applicability of ecological judgment are improved.

The invention discloses an intelligent building environment comfort degree optimization system and method based on the Internet of Things, relates to the technical field of intelligent buildings, and solves the technical problem that the experience feeling of a user in a building environment is poor due to the lack of consideration on dynamic response capability and personalized comfort degree of environment change in the prior art. Predicting an indoor person existence moment through a time prediction model; calculating an indoor comfort index through the indoor environment data; calculating equipment adjustment parameters according to the indoor comfort index and the indoor environment data; when a person exists in the indoor environment, calculating a person influence coefficient according to the indoor person data; according to the personnel influence coefficient and the indoor environment data, the equipment adjustment parameter is dynamically calculated, the time when the user arrives at the interior of the building is predicted, the indoor environment is adjusted to be in the state of the optimal environment comfort degree in advance, when the number of people in the room is large, the comfort degree index is dynamically adjusted, the influence of the number of people on equipment adjustment is considered, and the user experience is improved.

The invention relates to a self-adaptive control method for ventilation and heating of an automobile seat. The self-adaptive control method comprises the following steps: acquiring parameters of an environment where the automobile seat to be detected is located in real time; the environmental parameters comprise seat temperature, seat humidity, airflow velocity, passenger skin temperature and passenger skin conductivity; inputting the parameters of the environment where the to-be-tested automobile seat is located into the trained comfort level index obtaining model, and obtaining the comfort level index of the to-be-tested automobile seat; when the comfort level index is smaller than a preset threshold value, inputting parameters of the environment where the to-be-tested automobile seat is located into a parameter acquisition model, and acquiring related adjustment parameters of the automobile seat; the parameter acquisition model comprises a heating power acquisition sub-model and a ventilation intensity acquisition sub-model. Self-adaptive adjustment of ventilation and heating parameters is achieved, the comfort level of passengers is improved, and meanwhile energy consumption is reduced.

The invention relates to the technical field of intelligent driving assistance, in particular to a driving intense index adjusting method and device, computer equipment and a storage medium. The method comprises the following steps: calculating a current driving operation comfort index of a driver after detecting that the numerical value of a current driving intense index is updated for a first preset duration; if the current driving operation comfort index is within a preset comfort index interval, keeping the numerical value of the current driving intense index; if the current driving operation comfort index is not in the comfort index interval, feedback adjustment is conducted on the value of the current driving intense index according to the current driving operation comfort index, so that the current driving operation comfort index is kept in the comfort index interval. By adopting the method, the driving operation comfort of the driver can be improved.

The invention relates to the technical field of hotel evaluation, in particular to a hotel comfort index evaluation method based on big data, and the method comprises the following steps: based on a social media platform, collecting evaluation data of a user for a hotel, evaluating the credit score of the user, and obtaining a user credibility evaluation result. According to the method, the reputation score of the user is evaluated by integrating the account creation time, the evaluation release frequency, the evaluation detail degree and the text similarity of the user, the credibility of user evaluation is effectively improved, high-reputation evaluation is screened, the accuracy and practicability of the evaluation result are ensured, and the user experience is improved. By evaluating the modernization and functional integrity of hotel facilities and analyzing the ratio of the room size to the occupied space of the facilities, the actual comfort of the hotel is comprehensively evaluated, comfort evaluation is more objective and scientific, more accurate accommodation experience reference can be provided for consumers, and customer satisfaction and market competitiveness are improved.

The invention relates to an automatic driving method, an automatic driving device and a vehicle. The method comprises the following steps: predicting a driving parameter sequence when the vehicle executes a currently generated candidate trajectory; the driving parameter sequence comprises specified driving parameters of the vehicle in each predicted time step; according to the specified driving parameters under each prediction time step, determining a comfort index under the prediction time step by using a pre-trained comfort evaluation model; according to the comfort index under each prediction time step, determining the comfort cost of the candidate track, and determining the estimated cost of the candidate track under each preset cost item; selecting a target trajectory from the plurality of candidate trajectories according to the comfort cost of the candidate trajectory and the estimated cost under each preset cost item; wherein the target trajectory is a trajectory taking comfort cost and estimated cost into consideration at the same time; and controlling the vehicle to run according to the target trajectory. By adopting the method, the problem of low comfort in the automatic driving process can be solved.

The invention relates to an intelligent door and window adjusting method and device based on environmental data, and belongs to the technical field of smart home, and the method comprises the following steps: 1, a sensing module is used for obtaining temperature data, humidity data, noise data and carbon dioxide concentration and uploading the data to a control module; 2, the control module calculates a comprehensive comfort index by using weighted average according to the temperature data, the indoor and outdoor temperature difference data, the humidity data, the indoor and outdoor humidity difference data, the outdoor noise data and the carbon dioxide concentration; 3, the control module judges whether the comprehensive comfort index exceeds a threshold value or not, instructs the driving module to increase the opening and closing angle when the comprehensive comfort index exceeds the threshold value, and instructs the driving module to reduce the opening and closing angle when the comprehensive comfort index is lower than the threshold value; multi-environment parameter coupling adjustment can be carried out, and the adjustment fineness is high.

The invention discloses an intelligent linkage method, device and equipment for a baby crib and an air conditioner and a medium. The method comprises the steps that audio signals are collected in real time, and infant monitoring data sent by an infant bed are received; performing data fusion and calculation on the infant monitoring data through a preset fusion algorithm to obtain a current infant comfort index; recognizing and detecting the audio signal to obtain a baby cry recognition result; according to the baby comfort index, the baby cry recognition result and the collected indoor environment temperature, an air conditioner regulation and control instruction is generated through a preset fuzzy control rule; and the air conditioner is controlled to operate according to the air conditioner regulation and control instruction. By means of the method, the problem that in the prior art, an infant bed and air conditioning equipment are lack of effective linkage can be solved.

The invention discloses a climate comfort improvement method based on an equivalent weight, and relates to the technical field of climate comfort, in particular to the climate comfort improvement method based on the equivalent weight. Comprising the following steps of confirming and classifying influence factors, performing primary processing on the influence factors, performing partition statistics and grading on the influence factors, and performing improved climate comfort index calculation based on equivalent weight. According to the method, on the basis of the general thermal climate index, the equivalent weight is adopted to fuse various humanity elements, and the climate comfort is improved, so that the method is more accurate in the aspect of urban livability evaluation. Besides, different influence factors can be fused according to actual requirements, so that the analysis result is more intuitive and practical, and a direction can be provided for development and application of urban livability evaluation and climate comfort and a development direction can be provided for the fields of urban planning and the like.

The present invention relates to the field of civil engineering technology, and specifically to a method and device for assessing and monitoring the stiffness and degradation of the connection nodes between corridors and towers. The method determines the key degradation forms and sensitive comfort indexes of the connection nodes through simulation analysis of existing structural models, obtains a connection node stiffness assessment model, obtains the sensitive comfort index of the target building through on-site comfort testing, obtains the stiffness degradation coefficient of the corridor connection node of the target building based on the connection node stiffness assessment model, and performs stiffness assessment and degradation monitoring on the target building based on the corridor connection node stiffness degradation coefficient. This method eliminates the need to change the structural form and original connection state of the connection part, thereby solving the problem of low accuracy in predicting the stiffness of the connection part due to the use of a direct measurement method to change the structural form and original connection state of the connection part in the current measurement of the stiffness of the connection node between corridors and towers.

The invention discloses a flight comfort index-based passenger flight recommendation method and system, and the method comprises the steps: obtaining flight comfort data corresponding to each flight, and carrying out the abnormal value processing of the flight comfort data, so as to obtain the processed flight comfort data; taking the processed flight comfort level data as third-level index data of the flight comfort level, and performing standardization processing on the third-level index data to obtain standardized third-level index data; each third-level index weight in the third-level index data is determined through a CRITIC method, the standardized third-level indexes are aggregated and calculated based on each third-level index weight to obtain second-level index data, and the second-level index number comprises a seat index, an entertainment equipment index and a model index; and determining the weight of each second-level index in the second-level index data through a CRITIC method, and carrying out aggregation calculation on the second-level indexes to obtain first-level index data, namely the flight comfort index. According to the method and the system, the passenger experience is improved.

The invention discloses a home control method and system based on an intelligent ring and charging equipment. The method comprises the following steps: acquiring user sensing data through the intelligent ring and acquiring environment sensing data through the charging equipment of the intelligent ring; according to the user sensing data and the environment sensing data, analyzing a user comfort index and an environment discomfort reason; determining a corresponding equipment execution instruction based on an equipment collaborative optimization algorithm according to the user comfort index and the environmental discomfort reason; and sending the equipment execution instruction to corresponding home equipment for execution so as to improve the user comfort index and the environmental discomfort reason. Therefore, accurate user comfort regulation and control based on multi-source sensing and intelligent optimization of the ring and the charging equipment can be realized, the self-adaptability and user experience of an intelligent home environment are improved, and the user health and comfort risks caused by the fact that the environment is not improved in time due to discomfort are reduced.

The application provides a high-speed railway rail irregularity polishing strategy making method for sound and vibration comfort, and belongs to the technical field of intelligent operation and maintenance of high-speed railway infrastructure, and the method comprises the following steps: (1) establishing a vehicle-track coupling dynamics model; (2) collecting field synchronous test data; (3) model verification; (4) sound comfort index calculation; (5) vibration comfort index calculation; (6) comprehensive comfort index fusion; (7) determining a target rail irregularity spectrum; and (8) polishing strategy generation. The application takes human sound and vibration comprehensive comfort as an optimization target, and realizes a more scientific, accurate and economic rail polishing strategy making method.

The application discloses a kind of based on comfort perception's human living environment regulation method, comprising the following steps: collection environment parameter;User physiological data are collected;The user physiological data collected are handled, and attention concentration degree is obtained according to brain wave data, muscle tension is obtained according to myoelectric data, and cognitive load degree is obtained according to eye movement data;According to attention concentration degree, muscle tension and cognitive load degree, the comfort index of user under current environment is evaluated;If comfort index is less than threshold value, then with user interaction, obtain user feedback;According to user feedback and comfort index, adjust environment parameter.The application according to attention concentration degree, muscle tension and cognitive load degree, the comfort index of user under current environment is evaluated, and comprehensively and accurately reflects user experience;And increase user feedback, satisfy the individualized demand of user, provide more comfortable use environment for user.

The invention discloses a cooling index prediction model construction method, a cooling index prediction method and a cooling index prediction system. The prediction system comprises an evaluation model construction module, a prediction data acquisition module, a comfort evaluation module and a cooling index prediction module. The evaluation model construction module constructs a cooling index prediction model according to historical monitoring data of weather indexes of a sunstroke prevention place and a passenger location. The prediction data acquisition module acquires meteorological index prediction data of a sunstroke prevention place and a passenger location. And the comfort evaluation module predicts summer weather comfort indexes of the sunstroke prevention land and the contrast land through a summer weather comfort index evaluation model according to the prediction data of the meteorological indexes. The cooling index prediction module determines a comfort index difference value of the sunstroke prevention place relative to the passenger location according to summer weather comfort indexes of the sunstroke prevention place and the passenger location, and predicts a cooling index of the sunstroke prevention place relative to the passenger location by using a cooling index prediction model constructed by the evaluation model construction module; therefore, the passengers can accurately select a proper sunstroke prevention place.

This invention provides a method and apparatus for comfort optimization based on multi-dimensional environmental factors. The method includes: acquiring multi-dimensional environmental factor parameters of a target environmental area in real time; determining the standardized function type corresponding to each environmental factor parameter based on a preset mapping relationship between the numerical range of each environmental factor parameter and the standardized function type; standardizing each environmental factor parameter using the determined standardized function type to obtain a standardized score for each environmental factor parameter; obtaining a comprehensive comfort index based on the standardized score and importance weight of each environmental factor parameter to determine the current environmental state; and using a reinforcement learning model to determine the target multi-dimensional environmental equipment control actions based on the current environmental state, and automatically controlling the multi-dimensional equipment in the target environmental area according to the target multi-dimensional environmental equipment control actions. This invention can automatically and dynamically optimize the comfort of a target environmental area.

The application relates to the technical field of medical cosmetology equipment, and discloses a generation method and system of a Thermage nursing personalized comfort scheme. A physiological signal reflecting a patient's tolerance state is acquired in real time from a nursing instrument, and combined with historical data of the personal tolerance baseline, comfort parameters in real time and baseline dimensions are respectively generated via preset mapping rules, the two are fused into a comprehensive comfort index based on dynamic credibility evaluation, a predefined mapping table is queried according to the comprehensive comfort index, and a first round of adjustment instructions for nursing parameters are determined; a second round of evaluation based on dynamic feedback is started, second round adjustment instructions are generated and sent, and the nursing instrument applies the instructions in a locked state to complete the core adjustment of the personalized scheme. The application realizes a complete closed loop from multi-dimensional data fusion, logical coherence guarantee to knowledge self-iteration, and effectively improves the standardization, personalization and comfort management level of Thermage nursing.

The invention discloses a human living environment adjusting method based on comfort perception. The human living environment adjusting method comprises the following steps that environmental parameters are collected; collecting physiological data of a user; the collected physiological data of the user are processed, the attention concentration degree is obtained according to the brain wave data, the muscle tension degree is obtained according to the myoelectricity data, and the cognitive load degree is obtained according to the eye movement data; evaluating a comfort index of the user in the current environment according to the attention concentration degree, the muscle tension degree and the cognitive load degree; if the comfort level index is smaller than a threshold value, interacting with a user, and obtaining user feedback; and adjusting the environmental parameters according to the user feedback and the comfort index. According to the method, the comfort index of the user in the current environment is evaluated according to the attention concentration degree, the muscle tension degree and the cognitive load degree, and the user feeling is comprehensively and accurately reflected; user feedback is increased, personalized requirements of the user are met, and a more comfortable use environment is provided for the user.

The invention provides a vehicle-mounted fragrance self-adaptive adjusting method and device, and the method comprises the steps: 1, obtaining physiological parameters of a user in a vehicle in real time, and calculating a comprehensive physiological state standardization value, an emotion index and a comfort index of the user; 2, identifying the identity of the passenger; step 3, acquiring a special state of the passenger; 4, calculating a fragrance release regulation factor according to the comprehensive physiological state standardization value, the emotion index, the comfort index and the special state; and step 5, outputting fragrance control parameters according to the fragrance release regulation factor and the passenger identity. According to the invention, a personalized and active fragrance control strategy is realized.

The invention discloses a course arrangement optimization method based on demand response potential analysis and a related device, and relates to the technical field of public building energy conservation, and the method comprises the steps: obtaining energy consumption evaluation data and course arrangement scheme data of a teaching public building; executing a dynamic optimization operation for any course arrangement scheme to obtain an optimal course arrangement scheme; wherein the dynamic optimization operation specifically comprises the following steps: based on the energy consumption evaluation data and a target course arrangement scheme, calculating to obtain a total energy consumption cost and a comfort degree influence corresponding to the target course arrangement scheme; calculating to obtain an evaluation index value and a comfort index value based on the total energy consumption cost and the comfort influence corresponding to the target course arrangement scheme, and calculating to obtain a comprehensive evaluation index value based on the evaluation index value and the comfort index value; determining an optimization level based on the comprehensive evaluation index value, and outputting an optimal course arrangement scheme based on the optimization level; by optimizing the course arrangement scheme, the comfort of the teaching space is ensured while the energy consumption is reduced.

The invention discloses a self-adaptive energy-saving control system and method for fireplace equipment. The system comprises a fireplace heating module, a switch control module, an induction module, a comfort evaluation module and an energy module. The sensing module is used for sensing air temperature, air relative humidity, hot air velocity and radiation temperature; the comfort evaluation module is used for calculating a human body comfort index and obtaining a control instruction; the method comprises the following steps: sensing once per second to obtain data; performing standardization processing on the obtained data per minute, and calculating a human body comfort index; normalizing the human body comfort index once every five minutes, and obtaining a control instruction of a comfort evaluation module according to a threshold value; and the control instruction of the comfort evaluation module controls the gear adjustment of the heating mode of the fireplace heating module. The indoor environment is quantized through the multiple sensors, the human body comfort index is calculated in combination with multiple factors, the heating mode of the fireplace is adaptively controlled on the premise that the human body comfort is guaranteed, and therefore the energy-saving effect is achieved.

This information processing device includes: a declaration acquisition unit that acquires a hot / cold sensation declaration indicating an evaluation of the hot / cold sensation of an air-conditioning target space reported by a user present in the air-conditioning target space; a comfort arithmetic unit that obtains a comfort index of the user, and when the hot / cold sensation declaration is acquired, updates the comfort index of the user on the basis of the acquired hot / cold sensation declaration; a parameter changing unit that changes a parameter relating to the update of the comfort index on the basis of the sameness or difference between two consecutive hot / cold sensation declarations and the interval between the times at which the two consecutive hot / cold sensation declarations are acquired; and a storage device that stores the parameter.

The invention belongs to the technical field of hospital regional personnel comfort index determination, and discloses a computer-implemented spatial regional personnel comfort index determination method and system. The system comprises a data processing end, a comfort index establishment end and a result optimization output end, the data processing end captures environment and personnel related data through a sensor network to construct a comprehensive data source; the comfort index establishment end is used for performing core index quantification on the processed accurate data and calculating a key numerical value reflecting environment quality and propagation risks in combination with medical scene characteristics; and the result optimization output end is used for presenting environment related indexes and grades in real time, pushing the indexes and grades to the terminal in a visual form, and matching scene-based improvement suggestions. Generally speaking, the full-process closed loop from data acquisition to result output, early warning intervention and parameter optimization is realized.

The invention provides a desert road sand prevention project benefit evaluation method based on a variable weight matter element extension model, and relates to the technical field of sand prevention project benefit evaluation, and the method comprises the steps: collecting meteorological data and soil data of a sand prevention project region before and after the project is implemented, calculating a temperature and humidity comfort index, and collecting sand prevention project data; calculating an engineering cost index, an effect evaluation index and an environmental influence index by combining the dimensionless temperature and humidity comfort index, the meteorological data, the soil data and the sand prevention engineering data; a desert road sand prevention project benefit multi-dimensional evaluation index system is constructed, a time factor is introduced, project benefits are evaluated based on a variable weight matter element extension model, the project benefits are divided into three grades, namely high efficiency, medium efficiency and low efficiency, and the sand prevention project benefits are quantitatively evaluated according to evaluation results. Scientific, comprehensive and efficient decision support is provided for desertification control and highway safety guarantee.

The invention relates to the technical field of air conditioners, in particular to a comfort state evaluation method, device and equipment of an air conditioner and a storage medium. Multiple pieces of operation data during operation of the air conditioner are collected, and the distribution distance between the operation data of each air conditioner and user box separation data is calculated; the technical problem that in the prior art, the comfort evaluation accuracy is not high when a user uses the air conditioner is solved, and the comfort evaluation accuracy is improved by generating the comfort index according to the distribution distance to improve the anti-interference performance of comfort evaluation and finally evaluating the comfort state of the air conditioner according to the comfort index obtained through calculation.

The invention discloses a chair back tipping performance testing method, and belongs to the technical field of chair testing. The method comprises the steps that in the chair back tipping process, the pressure M alpha generated by a tested person naturally leaning against a chair back to the chair back and the supporting force m alpha generated by the chair back to the tested person are obtained; calculating to obtain an index for representing the human body comfort when the chair back tilts: X alpha = m alpha-M alpha, calculating to obtain an index for representing the supporting stability of the tested person in the chair back tilting process: # imgabs0 #, S represents the stability index in the chair back tilting process, Xn represents the comfort index when the chair back is at the nth tilting angle, and M represents the comfort index when the chair back is at the nth tilting angle; x represents the average value of the comfort indexes of the chair back at n tipping angles, and n represents the value number of the tipping angles of the chair back; the tipping performance of the chair back is represented through the comfort index X alpha and the stability index S. According to the invention, the tipping performance of the chair back can be effectively tested, and an effective basis is provided for the development of chairs.

The invention relates to the technical field of teaching environment control, in particular to a teaching environment control system based on the Internet of Things, which comprises a data acquisition unit, a parameter control unit, a data processing unit and a data processing unit, the matching module is used for matching the environment state evaluation result with a preset teaching environment optimization rule base so as to obtain a control parameter set of the environment adjusting equipment; the environment adjusting unit is used for distributing the equipment control instruction set to the corresponding environment adjusting equipment execution unit based on the Internet of Things gateway so as to realize preliminary adjustment of the teaching environment; the comfort index unit is used for acquiring a student comfort index based on the student physiological response data; and the adjusting and optimizing unit is used for dynamically correcting the control parameter set based on the student comfort index. According to the invention, an environment adjusting strategy is continuously improved through a real-time feedback mechanism, so that a control effect is gradually optimized in long-term operation, and an efficient teaching environment is formed.

The present invention discloses a digital twin-based indoor ecological environment design method, system, and storage medium, relating to the technical field of indoor environment design. This digital twin-based indoor ecological environment design method constructs an indoor digital twin model that includes spatial structure, material properties, and equipment layout, periodically acquires and updates ecological environment data, and analyzes and generates a comprehensive ecological status index. When the index deviates from a preset range, a multi-scheme control simulation is executed in the twin model, and after selecting the standard scheme, the equipment is driven to execute, achieving accurate identification and stable control of ecological anomalies. The present invention introduces a spatial comfort index, an air load index, and an ecological restoration index, respectively, to establish models based on multiple ecological parameters, and construct a comprehensive ecological status index, achieving a unified quantitative assessment of the indoor ecological environment, solving the existing problem of perceptual data fragmentation, and improving the normalization, accuracy, and cross-scenario applicability of ecological judgment.

The invention provides a sound and vibration comfort-oriented high-speed railway steel rail irregularity grinding strategy making method, and belongs to the technical field of intelligent operation and maintenance of high-speed railway infrastructures, and the method comprises the following steps: (1) establishing a vehicle-rail coupling dynamic model; (2) collecting field synchronous test data; (3) verifying the model; (4) sound comfort index calculation; (5) calculating a vibration comfort index; (6) integration of comprehensive comfort indexes; (7) determining a target steel rail irregularity spectrum; and (8) a polishing strategy is generated. According to the method, the comprehensive comfort of sound and vibration of the human body serves as an optimization target, and the more scientific, accurate and economical steel rail grinding strategy making method is achieved.

This air conditioning system comprises an air conditioning device for conditioning air in a space being air conditioned, and a control device for determining an air conditioning control pattern by which the operation of the air conditioning device is established. The control device: acquires a thermal sensation report indicating an evaluation of thermal sensation in the space being air conditioned and a discomfort report indicating an evaluation relating to discomfort in the space being air conditioned other than the thermal sensation, the evaluations being reported by a user present in the space being air conditioned; obtains a comfort index for the user on the basis of the thermal sensation report; determines, on the basis of the comfort index for the user and the discomfort report from the user, an air conditioning control pattern that eliminates discomfort or suppresses the occurrence of discomfort in the future; and outputs the air conditioning control pattern to the air conditioning device.