26 results about "Comfort index" patented technology

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 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 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 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 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.

The embodiment of the invention provides an intelligent rhythm mattress control method and system based on comfort analysis and a medium. The method comprises the steps of collecting physiological feature data and body pressure distribution data of sleep of a user, performing processing according to the physiological feature data and the body pressure distribution data to obtain a sleep comfort index, obtaining a sleep stage level according to the sleep comfort index, and performing processing in combination with rhythm preference data to obtain mattress rhythm control data, the mattress is regulated and controlled according to the mattress rhythm control data, the effect after regulation and control is checked, processing is carried out according to historical sleep data and historical sleep comfort degree indexes of a user, sleep rhythm effect data are obtained, the mattress rhythm regulation effect is evaluated, and the mattress rhythm regulation effect is obtained through comfort degree analysis, rhythm control generation, rhythm execution and dynamic regulation. Intelligent matching and dynamic optimization of rhythm and user comfort are realized, and the sleep comfort of the user is improved.

The invention relates to the field of temperature control adjustment, and discloses a temperature controller intelligent adjustment method and system based on multi-source environmental perception, which are used for solving the problems of inaccurate control, poor comfort and energy waste when data perception is single. Comprising the steps that a temperature comfort index, a humidity comfort index, an air comfort index and an illumination comfort index are calculated, a comprehensive comfort index is obtained through weighted summation, the comprehensive comfort index is compared with a preset threshold value to judge whether temperature control adjustment is started or not, and when the comprehensive comfort index is larger than or equal to an environment comfort threshold value, indoor temperature control does not need to be adjusted; when the comprehensive comfort degree index is smaller than an environment comfort degree threshold value, indoor temperature control is adjusted, a machine learning model is further introduced, the environment change trend is predicted through historical data, dynamic and self-adaptive temperature control adjustment is achieved in combination with user personalized preferences, the method can comprehensively and accurately evaluate the environment comfort degree, and the user experience is improved. And the intelligent level and the user experience of the temperature control system are effectively improved.

The application discloses a new energy commercial vehicle smoothness prediction method and device, medium and equipment, and belongs to the prediction field. The application obtains vibration acceleration data of a preset observation point of a new energy commercial vehicle, inputs the vibration acceleration data into a subjective-objective correlation model trained by historical subjective and objective samples, the model first predicts scores of multiple tertiary comfort indexes based on the vibration acceleration data, then aggregates to obtain scores of three secondary indexes of primary comfort, secondary comfort and impact comfort, and finally outputs a comprehensive score of smoothness. The application effectively solves the problem that the prior art cannot accurately and efficiently predict the smoothness of the vehicle.

The objective is to provide an air conditioning system and air conditioning control method that can achieve both the avoidance of hypertension in users and the maintenance of comfort. [Solution] The control unit 3 controls the air conditioning unit 2 based on the user-specific comfort correlation curve and blood pressure table stored in the memory unit 5. Specifically, when the air conditioning unit 2 is operating, if the user's blood pressure table is within a predetermined blood pressure health range, the control unit 3 controls the air conditioning unit 2 so that the ambient temperature becomes a temperature corresponding to a predetermined range on the line of the user's comfort correlation curve that includes a predetermined optimal value of the comfort index. Furthermore, if the blood pressure table is outside the blood pressure health range, the control unit 3 controls the air conditioning unit 2 so that the ambient temperature becomes a temperature corresponding to the upper limit of a predetermined comfort tolerance range on the line of the comfort correlation curve.

An air conditioning system (1) comprises: an air conditioning device (2) that conditions air in an air-conditioned space; a position information detection means for detecting the position of each of a plurality of users in the air-conditioned space; an environmental information acquisition means for acquiring environmental information indicating at least one of the temperature and humidity at the positions of the users; a control device (81) that determines control of the air conditioning device (2); and an attribute information acquisition means for acquiring attribute information for each user. The control device (81) uses environmental information at each user's position to determine a comfort index that indicates the level of comfort of the user, and on the basis of attribute information of the user, determines how to control the air conditioning device (2) such that the comfort index of the user approaches a value representing comfort.

The invention discloses a bed screen evaluation method, device and equipment based on supporting feeling and health, and a medium, and the method comprises the steps: collecting physical and mechanical data, including static stiffness characteristic data, dynamic fatigue response data and material creep behavior data, of a to-be-tested bed screen; performing support performance evaluation on the bed screen to be tested based on the static stiffness characteristic data to obtain a support performance index; performing health constraint on the to-be-tested bed screen through the health safety constraint logic to obtain a health and comfort index; quantifying the bed screen to be detected by combining the dynamic fatigue response data and the material creep behavior data to obtain a durability stability index; calculating a score of the bed screen to be tested in combination with a support performance index, a health and comfort index and a durability and stability index; and generating a reverse optimization strategy for the to-be-tested bed screen based on the score of the to-be-tested bed screen. According to the invention, bed screen evaluation with strong supporting feeling and human health can be realized, so that the problems that an existing bed screen is soft and weak, and spine instability is easily caused by long-time leaning are solved.

The invention discloses a system for automatically adjusting the comfort level of a hanging garden on the inner side of a louver, which comprises a data measuring device, a data processing device and a louver opening angle adjusting device, and is characterized in that the data measuring device is used for acquiring meteorological and environmental data of the hanging garden; the data processing device calculates the comfort index of the hanging garden according to the data acquired by the measuring device, and transmits the calculation result to the shutter opening angle adjusting device; the shutter opening angle adjusting device comprises a motor and a controller, the motor is connected with the shutter, and the controller generates a control strategy according to the comfort index calculated by the data processing device and a preset comfort evaluation standard and controls the motor to adjust the opening angle of the shutter based on the control strategy. Automatic adjustment of the comfort degree of the hanging garden is achieved. The thermal comfort degree of the hanging garden on the inner side of the shutter can be adjusted in real time, and the method has important significance on adjustment of the thermal comfort degree of the hanging garden and intelligent control over the angle of the shutter.

The invention provides a cabin environment regulation and control method, an aircraft and a storage medium. The method comprises the following steps: acquiring a first flight parameter of an aircraft, and extracting a first key feature from the first flight parameter; when a target event with a comfort index mutation characteristic is identified according to the first key feature, predicting a first change trend of a preset comfort index corresponding to the target event based on the first key feature; when it is determined that the first change trend accords with a preset discomfort condition corresponding to a preset comfort index, generating a first cooperative regulation and control task according to the first change trend; and executing the first cooperative regulation and control task to pre-regulate and control the cabin environment of the aircraft before the target event occurs so as to slow down the first change trend corresponding to the target event. Cabin environment regulation and control are more prospective and accurate, cabin environment fluctuation is reduced, a microenvironment used for ensuring that the body feeling of passengers is constant can be maintained in the cabin, and the overall regulation and control effect and driving and riding experience are improved.