CN117524422B - Evaluation system and method for improving stress recovery of human body based on indoor green planting - Google Patents
Evaluation system and method for improving stress recovery of human body based on indoor green planting Download PDFInfo
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Abstract
The invention discloses an evaluation system and a method for improving human stress restorability based on indoor green planting, which relate to the technical field of indoor environments and comprise an acquisition preparation module, a data acquisition module, a regulation and control module and a data processing module, wherein the acquisition preparation module is used for acquiring parameter setting and data storage partition. The data acquisition module acquires indoor green planting environment data, green planting preference behavior data and psychological and physiological indexes. The regulation and control module induces the stressed crowd to generate stress response, simulates the psychological and physiological states of the crowd, and regulates the variety, quantity and range of indoor green plants. The data processing module comprises a classification regression processing module, a correlation processing module, a psychological and physiological index preprocessing module and an improvement processing module, and is used for carrying out correlation analysis on psychological and physiological indexes of the stressed crowd and providing stress recovery evaluation standards. The invention provides an indoor green planting design strategy by identifying the influence factor evidence-based on the stress recovery of the human body and combining with the psychological and physiological index change.
Description
Technical Field
The invention relates to the technical field of indoor environment improvement, in particular to an evaluation system and an evaluation method for improving human stress recovery based on indoor green planting.
Background
The rapid development of the urban process changes the living environment and life style, and the nervous life rhythm and competitive pressure gradually lose the calm of the people, increase the bad emotion and easily generate stress response. The proper stress state is harmless to human body, however, when the individual is in the stress state for a long time, a series of negative effects are brought to emotion, psychological, cognitive and behavioral reactions of the individual, and various clinical diseases such as depression, anxiety and the like are caused to influence the body health.
The natural recovery benefits are demonstrated in an increasing number of demonstration studies. The indoor green plants are used as natural environments with most daily contact of indoor laborers, can be used as psychological health resources, help people to establish natural connection, promote pressure to be released, and reduce stress response. However, the current assessment method for improving the stress recovery of indoor green plants is less and needs to be further perfected.
The existing evaluation methods for improving the stress recovery of the indoor green plants mainly comprise a psychological test method and a questionnaire method, the two methods are based on subjective evaluation, the stress recovery improvement effect of the indoor green plants is estimated based on subjective feelings of tested persons, and larger subjective speculation exists. The stress response comprises psychological response and physiological response, and the stress recovery assessment and regulation standard is comprehensively formulated by adopting psychological states and physiological response indexes, so that the defect of subjective assessment can be overcome, and the method is more scientific and rigorous. Although there is also a stress recovery evaluation method based on the combination of physiological indexes and psychological indexes, most of the methods only select one physiological index, and as the response mechanism of human body to light environment is a complex system, it is difficult to comprehensively reflect the influence of indoor green planting on the improvement of human body stress recovery by only a single index, and the evaluation analysis of stress recovery improvement is performed by fusing multi-parameter physiological indexes.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention aims to provide an evaluation system for improving the stress recovery performance of a human body based on indoor green planting, and solves the problems that the conventional evaluation method for improving the stress recovery performance of the indoor green planting is based on subjective evaluation, has larger subjective speculation, and is difficult to comprehensively reflect the influence of the indoor green planting on the stress recovery performance improvement of the human body only by a single index.
The invention adopts the following technical scheme:
the assessment system for improving the human stress restorability based on indoor green planting comprises an acquisition preparation module, a data acquisition module, a regulation and control module and a data processing module, wherein the acquisition preparation module is used for setting acquisition parameters and partitioning stress data storage and restoration data storage.
The data acquisition module comprises an indoor green planting data acquisition module, a green planting preference behavior data module, a psychological index acquisition module and a physiological index acquisition module, wherein the data acquisition module is in communication connection with the acquisition preparation module and is used for acquiring indoor green planting environment data, the green planting preference behaviors and psychological and physiological indexes of psychological compressed people.
The regulation and control module comprises a pressure induction module and an indoor green plant regulation and control module, wherein the regulation and control module is in communication connection with the data acquisition module, induces stressed people to generate stress response, simulates psychological and physiological states of the people in a stressed environment, and regulates and controls the variety, quantity and range of indoor green plants.
The data processing module comprises a classification regression processing module, a correlation processing module, a psychological and physiological index preprocessing module and an improvement processing module, wherein the data processing module is in communication connection with the regulation and control module and is used as a terminal of the data acquisition module and the regulation and control module to carry out correlation analysis on psychological and physiological indexes of psychological compressed people under the regulation of indoor green planting environments and provide stress restorability assessment standards.
Further, the indoor green plant data acquisition module is used for acquiring an influence factor of indoor green plants on the stress recovery of the human body.
The indoor green planting data acquisition module acquires the data of the indoor green planting characteristics, the spatial characteristics and the green planting perception preference of the tested person by adopting a field investigation method, a questionnaire investigation method, an interview investigation method, a picture and video shooting mode, and analyzes the green planting perception preference of the tested person.
And outputting individualized green planting characteristics, differentiated spatial characteristics and information of targeted perception preference according to the acquired data, classifying and quantifying influence factors, determining interaction relations and constructing an influence rule change model.
Further, the influencing factors include indoor green plant characteristics, spatial characteristics and perceived preferences, wherein the indoor green plant characteristics refer to characteristics of the green plant and visual characteristics of the green plant in indoor space, and include green plant type, green plant color and green vision rate.
Spatial features refer to spatial regions where indoor green plants exist, including learning space, office space, and leisure space.
The perception preference refers to subjective preference and perception information of the green plants of the tested person, and the subjective preference and perception information comprises a favorite degree, an ornamental frequency and an interaction frequency, wherein the ornamental frequency refers to the number of times of the tested person watching indoor green plants in one day, and the interaction frequency refers to the number of times of the tested person interacting with the green plants in one day.
Further, the psychological index acquisition module acquires psychological indexes of the tested personnel through a Likett seven-level scale, the scale problem items comprise 19 problems in a PRS (stress relief program) perception recovery scale, and the psychological indexes are scored according to the acceptance degree from-3 to 3.
The physiological index acquisition module is used for acquiring physiological indexes of a tested person, wherein the physiological indexes comprise electrocardiosignals and electroencephalogram signals, and the electrocardiosignals are acquired by the portable electrocardiograph monitor and comprise heart rate and heart rate variability.
The brain electrical signals are collected by a portable brain electrical instrument, including an alpha index, a relaxation index, a mental stress index and event related potentials.
Further, the stress induction module is used for inducing the tested person to generate acute stress response, and the stress induction module adopts a trichl social stress test, which is a classical paradigm for inducing stress commonly used in laboratories, and comprises three stages of preparation, popular lecturing and popular mental arithmetic.
The indoor green planting regulation and control module is used for regulating and controlling indoor green planting characteristics, the indoor green planting regulation and control module regulates and controls the change of green planting type parameters, green planting color parameters and green vision rate parameters based on a Unity software system, the Unity software system is communicated with the virtual reality helmet, and a tested person carries out space scene presentation by wearing the virtual reality helmet.
Further, the classification regression processing module is used for carrying out classification statistical processing on the green plant characteristics, the spatial characteristics and the perception preference of the tested personnel on the indoor green plant, and establishing quantitative relations among different influence factors.
The correlation processing module is used for processing correlation analysis of indoor green plant characteristics, spatial characteristics and perceived preference of a tested person on indoor green plant, and correlation analysis of psychological and physiological indexes.
The psychological and physiological index preprocessing module is used for processing the psychological index and the original data of the physiological index, normalizing the psychological index, denoising and filtering the physiological index and extracting signals of time domain characteristics and frequency domain characteristics.
The classification regression processing module and the correlation processing module use SPSS statistics26 for data statistics and analysis, and the psychological and physiological index preprocessing module uses matlab software for data statistics and analysis.
The improvement processing module is used for providing an indoor green plant design strategy for improving stress recovery.
Further, the physiological index preprocessing module processes the electrocardiosignals and the electroencephalogram signals separately, and the electrocardiosignals are subjected to signal extraction of time domain features and frequency domain features through Kubios HRV Standard.
The signals of the frequency domain features are calculated by using a Welch periodic chart method and an autoregressive method based on FFT, and the signals of the time domain features are calculated by the interval time of two adjacent R waves on an electrocardiogram.
The EEG signal is subjected to denoising, filtering and independent component analysis through an EEGLAB plug-in of Matlab software, and is subjected to frequency domain feature analysis based on a Welch periodic chart method of FFT.
Further, psychological and physiological indexes of the tested personnel are comprehensively considered, and normalization processing is adopted to enable all data to be in a unified dimension in order to eliminate the influence of dimension differences among different indexes.
According to the newGenerating data confusion degree, and determining specific gravity coefficients of various indexes through AHP method、、The physiological indexes of electrocardiosignals and electroencephalogram signals and the psychological and physical indexes of the perception recovery quantity are subjected to assignment calculation, and are summarized into a single index Y, wherein the calculation mode is as follows:
。
wherein,the total score of the PRS perception recovery scale;refer to heart rate;、andis a common heart rate variability evaluation index;、andis an index for representing an emotional state in an electroencephalogram frequency domain signal.
The invention further aims at providing an evaluation method for improving the stress recovery of a human body based on indoor green planting, and the specific scheme is as follows.
The evaluation method for improving the human stress recovery based on the indoor green planting adopts the evaluation system for improving the human stress recovery based on the indoor green planting, and comprises the following steps:
step one, starting from an acquisition preparation module, and judging the signal quality.
If the signal quality is good, entering a data acquisition module.
If the signal quality is poor, the position of the electrode is adjusted, the signal quality is judged again until the signal quality is good, and the signal enters the data acquisition module.
And step two, the indoor green plant data acquisition module acquires an influence factor of the indoor green plant on the stress restorability of the human body, and analyzes the perception preference of the tested person on the indoor green plant.
And outputting individualized green planting characteristics, differentiated spatial characteristics and targeted perception preference information according to the acquired data, classifying and quantifying influence factors, determining interaction relations, and constructing an influence rule change model.
And thirdly, carrying out classified statistical processing on the green plant characteristics, the spatial characteristics and the perception preference by the data processing module, and establishing a quantization relation among different influence factors.
And step four, the pressure induction module induces a tested person to generate acute stress response by adopting a trichl social stress test, and then regulates and controls the green planting type parameter, the green planting color parameter and the green vision rate parameter through a Unity software system.
The psychological index acquisition module acquires psychological indexes of the tested person through the Liket seven-level scale, and the physiological index acquisition module acquires physiological indexes of the tested person.
The psychological and physiological index preprocessing module performs normalization processing on the acquired psychological index and physiological index through matlab software, and gathers the psychological index and the physiological index into a single index Y.
And fifthly, judging whether the single index Y is restored to the normal value, and if the single index Y is restored to the normal value, completing the evaluation.
And if Y is not restored to the normal value, repeating the process of the fourth step until the single index Y is restored to the normal value, and determining to generate the optimal proportioning parameters of the indoor green plants based on the improvement of the human stress restorability.
And step six, improving the indoor green planting in the learning, office and leisure space according to the optimal proportioning parameters, and establishing an indoor green planting environment for promoting stress recovery improvement.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that:
1. the invention is based on the improvement evaluation system of the indoor green plant on the human stress recoverability, records the green plant characteristics, the green plant perception preference and the psychological and physiological indexes of the space where the tested person is located in real time, determines the optimal proportioning parameters of the indoor green plant for promoting the improvement of the human stress recoverability through the experimental study method of the control variable, ensures the objectivity of the test result and is beneficial to guiding the indoor landscape design.
2. The invention is based on multidisciplinary cross view angles of architecture, landscape architecture, neurophysiology, environmental psychology and the like, is an evaluation method considering comprehensive stress restorability with universal value, determines the benefit of improving the stress restorability of the human body by indoor green planting through an experimental research method, combines evaluation and treatment, is applied to psychological stress relief, and provides an effective measure for combining evaluation and treatment.
Drawings
Fig. 1 is a flowchart of an evaluation system for improving stress recovery of a human body by indoor green planting in an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of an evaluation system for improving stress recovery of a human body by indoor green planting in an embodiment of the invention.
Fig. 3 is a flow chart of an evaluation method for improving stress recovery of a human body by indoor green planting in an embodiment of the invention.
Detailed Description
The following description of the embodiments of the invention will be given with reference to the accompanying drawings and examples:
embodiment 1, referring to fig. 1 and fig. 2, an evaluation system for improving stress recovery of a human body based on indoor green planting includes an acquisition preparation module, a data acquisition module, a regulation and control module, and a data processing module, where the acquisition preparation module is used for setting acquisition parameters and partitioning stress data storage and recovery data storage.
The data acquisition module comprises an indoor green planting data acquisition module, a green planting preference behavior data module, a psychological index acquisition module and a physiological index acquisition module, wherein the data acquisition module is in communication connection with the acquisition preparation module and is used for acquiring indoor green planting environment data, the green planting preference behaviors and psychological and physiological indexes of psychological compressed people.
The indoor green planting data acquisition module acquires the data of the indoor green planting characteristics, the spatial characteristics and the green planting perception preference of the tested person by adopting a field investigation method, a questionnaire investigation method, an interview investigation method, a picture and video shooting mode, and analyzes the green planting perception preference of the tested person. And outputting personalized information such as green planting characteristics, differentiated spatial characteristics, targeted perception preference and the like according to the acquired data of the indoor green planting data acquisition module, classifying and quantifying influence factors by the data processing module, determining an interaction relationship, and constructing an influence rule change model.
Specifically, the indoor green plant data acquisition module is used for acquiring influence factors of indoor green plants on human stress recovery, wherein the influence factors comprise indoor green plant characteristics, spatial characteristics and perception preference, and the indoor green plant characteristics refer to characteristics of the green plants and visual characteristics of the green plants in indoor spaces, and comprise green plant types, green plant colors and green vision rates.
Spatial features refer to spatial regions where indoor green plants exist, including learning space, office space, and leisure space.
The green planting preference behavior data module collects perception preference data of a tested person, wherein the perception preference refers to subjective preference and perception information of the tested person on green planting, the perception preference data comprises a favorite degree, an ornamental frequency and an interaction frequency, the ornamental frequency refers to the number of times of indoor green planting of the tested person in one day, the interaction frequency refers to the number of times of interaction of the tested person with green planting in one day, and the interaction frequency refers to the number of times of interaction behavior (such as touching, watering and the like) of the tested person with green planting in one day.
The psychological index acquisition module acquires psychological indexes of the tested person through a Liktet seven-level scale, the scale problem items comprise 19 problems in a PRS perception recovery scale, the problems are scored according to the degree of acceptance from-3 to 3 (very different acceptance is-3 and very different acceptance is-3), the psychological index acquisition module acquires psychological index data of the tested person through acquiring the psychological indexes of the tested person, and the psychological index data are sent to the data processing module for data processing.
The physiological index acquisition module is used for acquiring physiological indexes of the tested person, wherein the physiological indexes comprise electrocardiosignals and electroencephalogram signals, and the electrocardiosignals are acquired by a health portable electrocardiograph monitor and comprise heart rate #) And Heart Rate Variability (HRV).
The electroencephalogram signals are acquired by an Emotiv electroencephalogram device, and electroencephalogram data acquired by the Emotiv electroencephalogram device are processed by matlab software to obtain electroencephalogram indexes representing emotional states, wherein the electroencephalogram indexes comprise alpha indexes) Index of degree of relaxation) Index of mental stress) Event related potentialComposition and compositionComponents).
The psychological index and the physiological index of the tested personnel are comprehensively considered, and normalization processing is adopted to ensure that all data are in a unified dimension in order to eliminate the influence of dimension differences among different indexes.
Determining electrocardiosignals and electroencephalograms by AHP method according to the confusion degree of newly generated dataSpecific gravity coefficient of various indexes of (a)、、Performing assignment calculation on physiological indexes of electrocardiosignals and electroencephalogram signals and surface psychological indexes of perception recovery quantity, and summarizing into a single indexThe calculation method is as follows:
equation (1).
Wherein,total score (psychological index) for PRS sense recovery scale;refer to heart rate;、andis a common heart rate variability evaluation index,a higher value indicates a lower pressure value,andlower values indicate a more relaxed mood and a better stress recovery;、andis an index for representing the emotion state in the brain electrical frequency domain signal,、the higher the indicated emotional state the better,lower indicates lower mental stress, andandthe component is an ERP component that characterizes emotional pleasure commonly found in event-related potentials, with higher values indicating higher positive emotions. ERP is a special brain evoked potential that uses the potential of the brain caused by multiple or diverse stimuli by deliberately imparting a specific psychological meaning to the stimulus. It reflects changes in the neurophysiologic state of the brain during cognition and is therefore also known as cognitive potential.
The regulation and control module comprises a pressure induction module and an indoor green plant regulation and control module, wherein the regulation and control module is in communication connection with the data acquisition module, induces stressed people to generate stress response, simulates psychological and physiological states of the people in a stressed environment, and regulates and controls the variety, quantity and range of indoor green plants.
The stress induction module is used for inducing the tested personnel to generate acute stress response, and the stress induction module adopts a trichl social stress test which is a classical paradigm of inducing stress commonly used in a laboratory and comprises three stages of preparation, popular lecture and popular mental calculation.
The indoor green planting regulation and control module is used for regulating and controlling indoor green planting characteristics, the indoor green planting regulation and control module regulates and controls the change of green planting type parameters, green planting color parameters and green vision rate parameters based on a Unity software system, the Unity software system is communicated with the virtual reality helmet, and a tested person carries out space scene presentation by wearing the virtual reality helmet. The green planting type parameters comprise a desktop green plant, a potting green plant and a green planting wall, the color parameters comprise a pure green plant, a white flower plant, a red flower plant, a yellow flower plant, a blue flower plant and a purple flower plant, and the green planting rate is 10%, 30%, 50%, 70% and 90%.
The data processing module comprises a classification regression processing module, a correlation processing module, a psychological and physiological index preprocessing module and an improvement processing module, wherein the data processing module is in communication connection with the regulation and control module and is used as a terminal of the data acquisition module and the regulation and control module to carry out correlation analysis on psychological and physiological indexes of psychological compressed people under the regulation of indoor green planting environments and provide stress restorability assessment standards. And the indoor green planting design strategy based on the improvement of the stress recoverability is provided by investigating the identification of the influence factor evidence-based of the indoor green planting on the human stress recoverability and combining the change of psychological and physiological indexes of the tested personnel under the influence of the green planting, so that the indoor green planting environment suitable for the heart physiotherapy recovery of people is realized.
The classification regression processing module is used for carrying out classification statistical processing on the green plant characteristics, the spatial characteristics and the perception preference of the tested personnel on the indoor green plant, and establishing quantitative relations among different influence factors.
The correlation processing module is used for processing correlation analysis of indoor green plant characteristics, spatial characteristics and perceived preference of a tested person on indoor green plant, and correlation analysis of psychological and physiological indexes.
The psychological and physiological index preprocessing module is used for processing the psychological index and the original data of the physiological index, normalizing the psychological index, denoising and filtering the physiological index and extracting signals of time domain characteristics and frequency domain characteristics.
The classification regression processing module and the correlation processing module use SPSS statistics26 for data statistics and analysis, and the psychological and physiological index preprocessing module uses matlab software for data statistics and analysis.
The improvement processing module is used for providing an indoor green plant design strategy for improving stress recovery.
Further, the physiological index preprocessing module processes the electrocardiosignals and the electroencephalogram signals separately, and the electrocardiosignals are subjected to signal extraction of time domain features and frequency domain features through Kubios HRV Standard.
The signals of the frequency domain features are calculated by using a Welch periodic chart method and an autoregressive method based on FFT, the signals of the time domain features are calculated by the interval time of two adjacent R waves on an electrocardiogram, and the RR interval time sequence comprises N continuous beat intervals, namely RR= (RR) 1 ,RR 2 ,……RR N ) Then、Andthe calculation modes of (a) are shown in a formula (2), a formula (3) and a formula (4):
equation (2).
Equation (3).
Equation (4).
Wherein,the length between two adjacent R waves on an electrocardiogram reflects the interval time between two beats of the heart;refers to the nth；Is the average value of RR over a one minute heartbeat;is the so-called modal amplitude in percent;is the modality (most common RR interval), is the height of the normalized RR interval histogram;is the difference between the longest and shortest RR interval values.
The EEG signal is subjected to denoising, filtering and independent component analysis through an EEGLAB plug-in of MATLAB 2013b to obtain the EEG signal after interference is proposed, and frequency domain feature analysis is further carried out on the EEG signal based on a Welch periodic chart method of FFT. Further, the electroencephalogram signals are segmented, ERP components are extracted, and voltage values representing the components are calculated.
According to the invention, the green planting parameters of the learning, office and leisure space are monitored, and the psychological state and the physiological index of the tested person are combined to evaluate the stress recovery, so that the evaluation accuracy is greatly improved, and meanwhile, the tested person can be subjected to psychological pacifying according to the evaluation result, and the combination of evaluation and treatment is realized.
Embodiment 2, with reference to fig. 1 to 3, an evaluation method for improving stress recovery of a human body based on indoor green planting, which adopts the above evaluation system for improving stress recovery of a human body based on indoor green planting, comprises the following steps:
step one, starting from an acquisition preparation module, and judging the signal quality.
If the signal quality is good, entering a data acquisition module.
If the signal quality is poor, the position of the electrode is adjusted, the signal quality is judged again until the signal quality is good, and the signal enters the data acquisition module.
And step two, the indoor green plant data acquisition module acquires an influence factor of the indoor green plant on the stress restorability of the human body, and analyzes the perception preference of the tested person on the indoor green plant.
And outputting individualized green planting characteristics, differentiated spatial characteristics and targeted perception preference information according to the acquired data, classifying and quantifying influence factors, determining interaction relations, and constructing an influence rule change model.
And thirdly, carrying out classified statistical processing on the green plant characteristics, the spatial characteristics and the perception preference by the data processing module, and establishing a quantization relation among different influence factors.
And step four, the pressure induction module induces a tested person to generate acute stress response by adopting a trichl social stress test, and then regulates and controls the green planting type parameter, the green planting color parameter and the green vision rate parameter through a Unity software system.
The psychological index acquisition module acquires psychological indexes of the tested person through the Liket seven-level scale, and the physiological index acquisition module acquires physiological indexes of the tested person.
The psychological and physiological index preprocessing module performs normalization processing on the acquired psychological index and physiological index, and gathers the psychological index and physiological index into a single index Y.
And fifthly, judging whether the single index Y is restored to the normal value, and if the single index Y is restored to the normal value, completing the evaluation.
And if Y is not restored to the normal value, repeating the process of the fourth step until the single index Y is restored to the normal value, and determining to generate the optimal proportioning parameters of the indoor green plants based on the improvement of the human stress restorability.
And step six, improving the indoor green planting in the learning, office and leisure space according to the optimal proportioning parameters, and establishing an indoor green planting environment for promoting stress recovery improvement.
Further, according to different green planting characteristics, spatial characteristics and perception preferences, psychological and physiological indexes of a tested person are combined, optimal proportioning parameters of indoor green planting based on improvement of human stress restorability in the fifth step are generated, and the indoor green planting in learning, office and leisure space is improved according to the optimal proportioning parameters, so that a healing environment is formed.
It should be understood that the above description is not intended to limit the invention to the particular embodiments disclosed, but to limit the invention to the particular embodiments disclosed, and that the invention is not limited to the particular embodiments disclosed, but is intended to cover modifications, adaptations, additions and alternatives falling within the spirit and scope of the invention.
Claims (5)
1. The evaluation system for improving the stress recovery of the human body based on indoor green planting is characterized by comprising an acquisition preparation module, a data acquisition module, a regulation and control module and a data processing module, wherein the acquisition preparation module is used for setting acquisition parameters and partitioning stress data storage and recovery data storage;
the data acquisition module comprises an indoor green planting data acquisition module, a green planting preference behavior data module, a psychological index acquisition module and a physiological index acquisition module, and is in communication connection with the acquisition preparation module and used for acquiring indoor green planting environment data, the green planting preference behaviors and psychological and physiological indexes of psychological compressed people;
the regulation and control module comprises a pressure induction module and an indoor green plant regulation and control module, the regulation and control module is in communication connection with the data acquisition module, induces stressed people to generate stress response, simulates psychological and physiological states of the people in a stressed environment, and regulates and controls the variety, quantity and range of indoor green plants;
the data processing module comprises a classification regression processing module, a correlation processing module, a psychological and physiological index preprocessing module and an improvement processing module, is in communication connection with the regulation and control module and is used as a terminal of the data acquisition module and the regulation and control module to carry out correlation analysis on psychological and physiological indexes of psychological compressed people under the regulation of indoor green planting environment and provide a stress restorability evaluation standard;
the indoor green plant data acquisition module is used for acquiring an influence factor of indoor green plants on the stress recovery of a human body;
the indoor green plant data acquisition module acquires the data of the indoor green plant characteristics, the spatial characteristics and the perceived preference of the tested person for green plant by adopting a field investigation method, a questionnaire investigation method, an interview investigation method, a picture and video shooting mode, and analyzes the perceived preference of the tested person for green plant;
outputting individualized green planting characteristics, differentiated spatial characteristics and information of targeted perception preference according to the acquired data, classifying and quantifying influence factors, determining interaction relations and constructing an influence rule change model;
the influence factors comprise indoor green plant characteristics, spatial characteristics and perception preference, wherein the indoor green plant characteristics refer to characteristics of green plants and visual characteristics of the green plants in indoor space, and the characteristics comprise green plant types, green plant colors and green vision rates;
the spatial features refer to spatial areas where indoor green plants exist, and include learning space, office space and leisure space;
the perception preference refers to subjective preference and perception information of a tested person on green plants, and the subjective preference and the perception information comprise ornamental frequency and interaction frequency, wherein the ornamental frequency refers to the number of times that the tested person watches indoor green plants in one day, and the interaction frequency refers to the number of times that the tested person interacts with the green plants in one day;
the classification regression processing module is used for carrying out classification statistical processing on the green plant characteristics, the spatial characteristics and the perceived preference of the tested personnel on the indoor green plant, and establishing quantitative relations among different influence factors;
the correlation processing module is used for processing correlation analysis of indoor green planting characteristics, spatial characteristics and perceived preference of a tested person on the indoor green planting, and correlation analysis of psychological and physiological indexes;
the psychological and physiological index preprocessing module is used for processing the psychological index and the original data of the physiological index, carrying out normalization processing on the psychological index, denoising and filtering the physiological index, and extracting signals of time domain characteristics and frequency domain characteristics;
the classification regression processing module and the correlation processing module use SPSS statistics26 to carry out data statistics and analysis, and the psychological and physiological index preprocessing module uses Matlab software to carry out data statistics and analysis;
the improvement processing module is used for providing an indoor green plant design strategy for improving stress recoverability;
comprehensively considering psychological and physiological indexes of a tested person, and adopting normalization processing to ensure that all data are in a unified dimension in order to eliminate the influence of dimension differences among different indexes;
determining specific gravity coefficients W of various indexes by AHP method according to the confusion degree of newly generated data 1 、W 2 、W 3 The physiological indexes of electrocardiosignals and electroencephalogram signals and the psychological and physical indexes of the perception recovery quantity are subjected to assignment calculation, and are summarized into a single index Y, wherein the calculation mode is as follows:
Y＝W 1 *PRS–W 2 *HR+W 3 *(SDNN–LF/HF-SI HRV )+W 3 *(PSD (α) +
RI–SI EEG +LPP+P300)
wherein, PRS is the total score of the perception recovery scale; HR refers to heart rate; SDNN, LF/HF and SI HRV Is a common heart rate variability evaluation index; PSD (phase-sensitive detector) (α) RI and SI EEG Is an index for representing an emotional state in an electroencephalogram frequency domain signal.
2. The evaluation system for improving stress recovery of human body based on indoor green planting according to claim 1, wherein the psychological index acquisition module acquires psychological indexes of the tested person through a Liktet seven-level scale, scale problem items comprise 19 problems in a PRS (stress-relief) perception recovery scale, and scores from-3 to 3 according to the degree of acceptance;
the physiological index acquisition module is used for acquiring physiological indexes of a tested person, wherein the physiological indexes comprise electrocardiosignals and electroencephalogram signals, and the electrocardiosignals are acquired by the portable electrocardiograph monitor and comprise heart rate and heart rate variability;
the brain electrical signals are collected by a portable brain electrical instrument, including an alpha index, a relaxation index, a mental stress index and event related potentials.
3. The evaluation system for improving stress recovery of human body based on indoor green planting according to claim 2, wherein the stress inducing module is used for inducing the tested person to generate acute stress response, and the stress inducing module adopts the trichl social stress test which is a classical paradigm of induced stress commonly used in laboratories, comprising three stages of preparation, popular lecturing and popular mental arithmetic;
the indoor green planting regulation and control module is used for regulating and controlling indoor green planting characteristics, the indoor green planting regulation and control module regulates and controls the change of green planting type parameters, green planting color parameters and green vision rate parameters based on a Unity software system, the Unity software system is communicated with the virtual reality helmet, and a tested person carries out space scene presentation by wearing the virtual reality helmet.
4. The evaluation system for improving the stress recovery of a human body based on indoor green planting according to claim 1, wherein the physiological index preprocessing module processes electrocardiosignals and electroencephalogram signals separately, and the electrocardiosignals are subjected to signal extraction of time domain features and frequency domain features through Kubios HRV Standard;
the signals of the frequency domain features are calculated by using a Welch periodic chart method and an autoregressive method based on FFT, and the signals of the time domain features are calculated by the interval time of two adjacent R waves on an electrocardiogram;
the EEG signal is subjected to denoising, filtering and independent component analysis through an EEGLAB plug-in of Matlab, and frequency domain feature analysis is further performed on the EEG signal based on a Welch periodic chart method of FFT.
5. An evaluation method for improving stress recovery of human body based on indoor green planting, characterized in that an evaluation system for improving stress recovery of human body based on indoor green planting as claimed in any one of claims 1 to 4 is adopted, comprising the steps of:
step one, starting from an acquisition preparation module, and judging the signal quality;
if the signal quality is good, entering a data acquisition module;
if the signal quality is poor, adjusting the position of the electrode, judging the signal quality again until the signal quality is good, and entering a data acquisition module;
step two, an indoor green plant data acquisition module acquires influence factors of indoor green plants on human stress restorability, analyzes the perception preference of a tested person on the indoor green plants, outputs individualized green plant characteristics, differentiated space characteristics and targeted perception preference information according to the acquired data, classifies and quantifies the influence factors, determines interaction relation and builds an influence rule change model;
step three, the data processing module performs classified statistical processing on the green plant characteristics, the spatial characteristics and the perception preference, and establishes a quantization relation among different influence factors;
step four, the pressure induction module induces a tested person to generate acute stress response by adopting a trichl social stress test, and then regulates and controls a green planting type parameter, a green planting color parameter and a green vision rate parameter through a Unity software system;
the psychological index acquisition module acquires psychological indexes of the tested person through a Likett seven-level scale, and the physiological index acquisition module acquires physiological indexes of the tested person;
the psychological and physiological index preprocessing module performs normalization processing on the acquired psychological indexes and physiological indexes through matlab software and gathers the acquired psychological indexes and physiological indexes into a single index Y;
step five, judging whether the single index Y is restored to a normal value, if Y is restored to the normal value, completing the evaluation;
if Y is not restored to the normal value, repeating the process of the fourth step until the single index Y is restored to the normal value, and determining to generate the optimal proportioning parameter of the indoor green plant based on the improvement of the human stress restorability;
and step six, improving the indoor green planting in the learning, office and leisure space according to the optimal proportioning parameters, and establishing an indoor green planting environment for promoting stress recovery improvement.
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