Environmental comfort evaluation method and device based on duration time

Abstract

The invention provides an environmental comfort evaluation method based on duration time, which can be applied to the field of climate environment. The method comprises: according to a preset target comfort index, obtaining N index values of a target region within a preset time period and a grade division rule table corresponding to the target comfort index, the grade division rule table comprising M index value grades and comfort weights; determining an ith grade value corresponding to the ith index value according to the M index value grades to obtain N grade values; for the jth index value grade in the M index value grades, determining the jth environment comfort state duration corresponding to the jth index value grade according to the N grade values, and obtaining M environment comfort state duration; and performing weighted summation processing on the duration of the M environmental comfort states according to the comfort weights of the M index value grades, and outputting a comfort state evaluation result of the target region in a preset time period.

Description

Technical Field

[0001] The invention relates to the field of climate environment, and more specifically to a method and device for evaluating environmental comfort based on duration. Background Art

[0002] The environmental comfort index is used to characterize the degree to which the human body feels comfortable with the surrounding environment, and is one of the important indicators for evaluating the comfort index of the living environment. The current environmental comfort index usually uses instantaneous values ​​or average values ​​(such as temperature) to describe environmental comfort and comfort grading. However, the average value over a period of time may bring certain deviations. For example, when the thermal comfort changes frequently and drastically, the thermal comfort is low, but the average value will appear to be relatively comfortable, which is inconsistent with the actual thermal comfort experience. Therefore, the current environmental comfort evaluation method is difficult to accurately reflect the comfort state of a certain place, especially the environmental comfort situation within a certain period of time. Summary of the invention

[0003] In view of the above problems, the present invention provides a method and device for evaluating environmental comfort based on duration.

[0004] According to a first aspect of the present invention, there is provided an environmental comfort evaluation method, the method comprising: according to a preset target comfort index, obtaining N index values ​​of a target area within a preset time period and a grade division rule table corresponding to the target comfort index, wherein the grade division rule table includes M index value levels and comfort weights corresponding to each index value level, N is a positive integer ≥1, and M is a positive integer ≥1; for an i-th index value among the N index values, determining an i-th grade value corresponding to the i-th index value according to the M index value levels to obtain N grade values; for a j-th index value among the M index value levels, determining an i-th grade value corresponding to the j-th index value according to the N grade values. The j-th environmental comfort state duration corresponding to the index value level is obtained to obtain M environmental comfort state durations, wherein the j-th environmental comfort state duration represents the duration during which the index value of the target comfort index of the target area is under the j-th index value level within the preset time period; the M environmental comfort state durations are weighted and summed according to the comfort weights corresponding to the M index value levels, and the comfort state evaluation result of the target area within the preset time period is output, wherein the comfort state evaluation result includes the weighted summation result, the proportion of the M environmental comfort state durations and / or each of the environmental comfort state durations.

[0005] According to an embodiment of the present invention, for the j-th indicator value level among the above-mentioned M indicator value levels, determining the duration of the j-th environmental comfort state corresponding to the above-mentioned j-th indicator value level according to the above-mentioned N level values ​​includes: for the above-mentioned j-th indicator value level among the above-mentioned M indicator value levels, selecting the same level value as the above-mentioned j-th indicator value level from the above-mentioned N level values ​​to obtain the current target level value; determining the duration of the above-mentioned j-th environmental comfort state according to the number of the above-mentioned current target level values.

[0006] According to an embodiment of the present invention, determining the duration of the j-th environmental comfort state according to the number of the current target level values ​​includes: determining the duration of the j-th environmental comfort state according to the sum of the numbers of the current target level values.

[0007] According to an embodiment of the present invention, the sum of the durations of the M environmental comfort states is equal to N.

[0008] According to an embodiment of the present invention, the above-mentioned target comfort index includes at least one of the following: human comfort index, universal thermal climate index, wet-bulb globe temperature, wind chill index, heat index, humidity index, standard effective temperature, perceived temperature, and physiological equivalent temperature.

[0009] According to an embodiment of the present invention, the method further includes:

[0010] Generate a statistical graph according to the above comfort state evaluation result, wherein the above statistical graph represents the distribution of the duration of the environmental comfort state corresponding to the above M indicator value levels, and / or the distribution of the proportion of the duration of the environmental comfort state corresponding to the above M indicator value levels;

[0011] The above statistical chart is displayed on the display interface.

[0012] According to an embodiment of the present invention, the above statistical graph includes at least one of the following: a bar graph, a line graph, and a pie chart.

[0013] According to an embodiment of the present invention, the method further includes:

[0014] According to the classification rules corresponding to the above target comfort index, the above M index value levels are classified to obtain a comfort level set and an discomfort level set;

[0015] Determine the sum of the durations of the environmental comfort states of all index value levels in the comfort level set to obtain a first value;

[0016] Determine the sum of the duration of the environmental comfort state of all index value levels in the discomfort level set to obtain a second value;

[0017] According to the evaluation rule corresponding to the target comfort index, the first value and the second value, an evaluation result of whether the target area is comfortable or uncomfortable within the preset time period is output.

[0018] According to an embodiment of the present invention, the target comfort index includes a general thermal climate index, and the level classification rule table corresponding to the general thermal climate index includes an extreme cold stress level, an ultra-strong cold stress level, a strong cold stress level, a moderate cold stress level, a slight cold stress level, a no heat stress level, a moderate heat stress level, a strong heat stress level, a super-strong heat stress level, and an extreme heat stress level;

[0019] Among them, the above-mentioned M index value levels are classified according to the classification rules corresponding to the above-mentioned target comfort index, and the comfort level set and the discomfort level set are obtained, including:

[0020] According to the classification rules corresponding to the above-mentioned general thermal climate index, the extreme cold stress level, the super strong cold stress level, the strong cold stress level, the moderate cold stress level, the slight cold stress level, the no heat stress level, the moderate heat stress level, the strong heat stress level, the super strong heat stress level and the extreme heat stress level are classified to obtain the above-mentioned comfort level set and the above-mentioned discomfort level set, wherein the above-mentioned comfort level set includes the above-mentioned moderate heat stress level, the no heat stress level, the slight cold stress level and the moderate cold stress level, and the above-mentioned discomfort level set includes the above-mentioned extreme cold stress level, the super strong cold stress level, the strong cold stress level, the strong heat stress level, the super strong heat stress level and the extreme heat stress;

[0021] Determining the sum of the duration of the environmental comfort state of all index value levels in the comfort level set to obtain the first value includes:

[0022] Determine the sum of the durations of the environmental comfort states corresponding to the above-mentioned moderate heat stress level, no heat stress level, slight cold stress level, and moderate cold stress level to obtain the above-mentioned first value;

[0023] The above-mentioned determination of the sum of the duration of the environmental comfort state of all index value levels in the above-mentioned discomfort level set to obtain the second value includes:

[0024] Determine the sum of the durations of the environmental comfort states corresponding to the extreme cold stress level, the super strong cold stress level, the strong cold stress level, the strong heat stress level, the super strong heat stress level and the extreme heat stress to obtain the second value;

[0025] Outputting the evaluation result of whether the target area is comfortable or uncomfortable within the preset time period according to the evaluation rule corresponding to the target comfort index, the first value and the second value includes:

[0026] When it is determined that the first value and the second value satisfy the evaluation rule, outputting an evaluation result that the comfort state of the target area within the preset time period is comfortable;

[0027] When it is determined that the first value and the second value do not satisfy the evaluation rule, an evaluation result that the comfort state of the target area within the preset time period is uncomfortable is output.

[0028] A second aspect of the present invention provides an environmental comfort evaluation device based on duration, the device comprising: an acquisition module for acquiring, according to a preset target comfort index, N index values ​​of a target area within a preset time period and a grade division rule table corresponding to the target comfort index, wherein the grade division rule table includes M index value levels and a comfort weight corresponding to each index value level, N is a positive integer ≥1, and M is a positive integer ≥1; a first determination module is used to determine, for an i-th indicator value among the above-mentioned N indicator values, an i-th level value corresponding to the above-mentioned i-th indicator value according to the above-mentioned M indicator value levels, and obtain N level values; a second determination module is used to determine, for a j-th indicator value level among the above-mentioned M indicator value levels, a j-th environmental comfort state duration corresponding to the above-mentioned j-th indicator value level according to the above-mentioned N level values, and obtain M environmental comfort state durations, wherein the above-mentioned j-th environmental comfort state duration represents the duration that the indicator value of the above-mentioned target comfort indicator of the above-mentioned target area is at the above-mentioned j-th indicator value level within the above-mentioned preset time period; and an output module is used to perform weighted summation processing on the above-mentioned M environmental comfort state durations according to the comfort weights corresponding to the M indicator value levels, and output a comfort state evaluation result of the above-mentioned target area within the above-mentioned preset time period, wherein the above-mentioned comfort state evaluation result includes a weighted summation processing result, the above-mentioned M environmental comfort state durations and / or the proportion of each of the above-mentioned environmental comfort state durations.

[0029] According to an embodiment of the present invention, N indicator values ​​of a target area within a preset time period and a grade division rule table corresponding to the target comfort index are obtained according to a preset target comfort index, wherein the grade division rule table includes M indicator value levels and comfort weights corresponding to each indicator value level, N is a positive integer ≥1, and M is a positive integer ≥1; then, for an i-th indicator value among the N indicator values, an i-th grade value corresponding to the i-th indicator value is determined according to the M indicator value levels, and N grade values ​​are obtained; then, for a j-th indicator value level among the M indicator value levels, a j-th environmental comfort state duration corresponding to the j-th indicator value level is determined according to the N grade values, and M environmental comfort state durations are obtained, wherein the j-th environmental comfort state duration represents the duration that the indicator value of the target comfort index of the target area is at the j-th indicator value level within the preset time period; finally, the M environmental comfort state durations are weighted and summed according to the comfort weights corresponding to the M indicator value levels to output a comfort state evaluation result of the target area within the preset time period. The present invention can better reflect the comfort state of the target area and improve the accuracy of comfort evaluation by determining the duration of the target area under different index value levels. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The above contents and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings.

[0031] Figure 1 A flow chart of an environmental comfort evaluation method according to an embodiment of the present invention is shown.

[0032] Figure 2 A schematic diagram of a calculation process of an environmental comfort state duration according to an embodiment of the present invention is shown.

[0033] Figure 3 A flow chart of an environmental comfort evaluation method according to another embodiment of the present invention is shown.

[0034] Figure 4 The structure block diagram of the environmental comfort evaluation device according to an embodiment of the present invention is shown.

[0035] Figure 5 A block diagram of an electronic device suitable for implementing an environmental comfort evaluation method according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0036] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

[0037] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0038] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0039] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0040] In the technical solution of the present invention, the acquisition, collection, storage, use, processing, transmission, provision, disclosure and application of data all comply with the provisions of relevant laws and regulations, take necessary confidentiality measures, and do not violate public order and good morals.

[0041] The environmental comfort index is used to characterize the degree to which the human body feels comfortable with the surrounding environment and is one of the important indicators for environmental comfort index evaluation. Current environmental comfort evaluation methods generally use instantaneous values ​​or average values ​​(such as temperature) to describe environmental comfort and comfort levels, such as the Universal Thermal Climate Index (UTCI), the Comfort Index of Human Body (I CHB ). However, the instantaneous value of the environmental comfort index cannot reflect the long-term thermal comfort situation, and the average value over a period of time may bring certain deviations. For example, when the thermal comfort changes frequently and drastically, the thermal comfort is low, but the average value is relatively comfortable, which is inconsistent with the actual thermal comfort experience.

[0042] Therefore, the environmental comfort evaluation method in the related art is difficult to reflect the long-term environmental comfort situation, and it is also difficult to better describe the long-term environmental comfort status of a place.

[0043] In view of this, the present invention provides an environmental comfort evaluation method for the above technical problems. By utilizing the thermal stress duration (TSD) of the environmental comfort state, the duration of a place under different environmental conditions within a given time period is evaluated. By determining the duration of a place under different environmental conditions, the comfort state of the place can be better reflected, thereby improving the accuracy of the comfort evaluation.

[0044] Figure 1 A flow chart of an environmental comfort evaluation method according to an embodiment of the present invention is shown.

[0045] like Figure 1 As shown, the environmental comfort evaluation method of this embodiment includes operations S110 to S140.

[0046] In operation S110, according to the preset target comfort index, N index values ​​of the target area within the preset time period and a grade division rule table corresponding to the target comfort index are obtained, wherein the grade division rule table includes M index value levels and comfort weights corresponding to each index value level, N is a positive integer ≥1, and M is a positive integer ≥1.

[0047] According to an embodiment of the present invention, the N index values ​​of the target area within a preset time period can be obtained from a database, or in a file form, or in a temporary storage form, such as from a memory. In addition, the N index values ​​of the target area within a preset time period can also be measured values ​​obtained by direct measurement.

[0048] According to an embodiment of the present invention, the preset time period may be a period of time. For example, the preset time period may be 24 hours, 30 hours, 48 ​​hours, etc.; for another example, the preset time period may also be 1 week, 2 weeks, 3 weeks, etc.; for another example, the preset time period may also be 1 month, 2 months, 3 months, etc. The present invention does not specifically limit the preset time period.

[0049] According to an embodiment of the present invention, when the preset time period is 24 hours, the N indicator values ​​within the preset time period may, for example, include 24 indicator values, that is, N is 24. In this case, one indicator value is obtained every hour. In some other embodiments, the N indicator values ​​within the preset time period may, for example, also include 12 indicator values, that is, N is 12. In this case, one indicator value is obtained every two hours.

[0050] According to an embodiment of the present invention, the range of the comfort weight may be [-1, 1].

[0051] According to an embodiment of the present invention, the target comfort index may include at least one of the following: human comfort index, universal thermal climate index, wet bulb globe temperature, wind chill index, heat index, humidity index, standard effective temperature, perceived temperature, and physiological equivalent temperature.

[0052] According to an embodiment of the present invention, the Comfort Index of Human Body (I CHB ) divides the comfort into 9 levels, and each level has a corresponding comfort weight, as shown in Table 1.

[0053] Table 1

[0054]

[0055] According to an embodiment of the present invention, when the target comfort index is a human comfort index, the level division rule table corresponding to the target comfort index (such as Table 1) includes 9 index levels, and M is 9 at this time.

[0056] According to an embodiment of the present invention, the Universal Thermal Climate Index (UTCI) is a multivariate parameter that describes the synergistic heat exchange between the thermal environment and the human body (i.e., the energy balance, physiology, and clothing of the human body). It can accurately reflect the changes in meteorological factors such as the average radiant temperature, temperature, humidity, and wind speed, and is often used to evaluate the thermal stress and thermal comfort level of outdoor spaces. According to the equivalent temperature value of the Universal Thermal Climate Index, the human body thermal stress is divided into 10 levels, and each level has a corresponding comfort weight, as shown in Table 2.

[0057] Table 2

[0058]

[0059] According to an embodiment of the present invention, when the target comfort index is a universal thermal climate index, the level classification rule table corresponding to the target comfort index (such as Table 2) includes 10 index levels, and M is 10 at this time.

[0060] According to an embodiment of the present invention, the wet bulb globe temperature (WBGT) is an indicator for evaluating the human contact heat load, which comprehensively considers the influence of high temperature, heat radiation and air humidity on human comfort. The grading rule table corresponding to the wet bulb globe temperature includes 5 grades, each grade has a corresponding comfort weight, as shown in Table 3.

[0061] Table 3

[0062]

[0063] According to an embodiment of the present invention, the wind chill index is an index that characterizes the relationship between the heat loss of the human body and the wind speed and the air temperature, and is a physical quantity that represents the relationship between wind speed and temperature drop. Experiments show that when the air temperature is -1.1°C, if the wind speed is 11.1 m / s (about level 6), the degree of coldness that people will feel is equivalent to the temperature of -17.2°C when there is no wind; if the wind speed is as high as 15.6 m / s (about level 7), it is equivalent to the coldness of the temperature of -20°C when there is no wind. It can be seen that in the cold wind, people feel lower than the actual temperature. The level division rule table corresponding to the wind chill index includes 6 levels, and each level has a corresponding comfort weight, as shown in Table 4.

[0064] Table 4

[0065]

[0066] According to an embodiment of the present invention, the heat index is an index that combines air temperature and relative humidity to determine the perceived temperature, that is, the actual heat felt. The level classification rule table corresponding to the heat index includes 4 levels, each level having a corresponding comfort weight, as shown in Table 5.

[0067] Table 5

[0068]

[0069] According to an embodiment of the present invention, the humidity index is used to describe the feeling of ordinary people on hot and humid weather. The level classification rule table corresponding to the humidity index includes 4 levels, each level has a corresponding comfort weight, as shown in Table 6.

[0070] Table 6

[0071]

[0072] According to an embodiment of the present invention, the standard effective temperature (SET) is a temperature when a person wearing standard clothing (thermal resistance 0.6clo) is in an environment with a relative humidity of 50%, approximately still air, and an air temperature equal to the average radiation temperature. If the average skin temperature and skin humidity at this time are the same as those under a certain actual environment and actual clothing thermal resistance conditions, then the human body will have the same amount of heat dissipation in the standard environment and the actual environment, and the air temperature of the standard environment is the standard effective temperature SET of the actual environment.

[0073] According to an embodiment of the present invention, the apparent temperature refers to the degree of coldness or warmth felt by the human body, which is converted into an equivalent temperature and is affected by the combined effects of air temperature, wind speed and relative humidity.

[0074] According to an embodiment of the present invention, Physiological Equivalent Temperature (PET) is a human biometeorological parameter that describes individual thermal perception. It is defined as the air temperature at which the heat balance of the human body reaches a balance with the core temperature and skin temperature under the complex outdoor conditions to be evaluated in a typical indoor environment (without wind and solar radiation). PET uses the Munich Model of Personal Energy Balance (MEMI) for calculation.

[0075] In operation S120, for an i-th indicator value among the N indicator values, an i-th level value corresponding to the i-th indicator value is determined according to the M indicator value levels, so as to obtain N level values.

[0076] According to an embodiment of the present invention, each of the N index values ​​has a corresponding level value. For example, when the target comfort level is a universal thermal climate index and includes five index values ​​such as index value I1, index value I2, index value I3, index value I4 and index value I5, then index value I1 corresponds to level value level1, index value I2 corresponds to level value level2, index value I3 corresponds to index value level value level3, index value I4 corresponds to level value level4, and index value I5 corresponds to level value level5, thereby obtaining five level values.

[0077] In operation S130, for the j-th indicator value level among the M indicator value levels, the j-th environmental comfort state duration corresponding to the j-th indicator value level is determined according to the N level values, and M environmental comfort state durations are obtained, wherein the j-th environmental comfort state duration represents the duration that the indicator value of the target comfort indicator of the target area is at the j-th indicator value level within a preset time period.

[0078] According to an embodiment of the present invention, for the j-th indicator value level among M indicator value levels, determining the duration of the j-th environmental comfort state corresponding to the j-th indicator value level according to N level values ​​includes: for the j-th indicator value level among the M indicator value levels, selecting the same level value as the j-th indicator value level from the N level values ​​to obtain the current target level value; determining the duration of the j-th environmental comfort state according to the number of current target level values.

[0079] According to an embodiment of the present invention, determining the duration of the j-th environmental comfort state according to the number of current target level values ​​includes: determining the duration of the j-th environmental comfort state according to the sum of the numbers of current target level values.

[0080] According to an embodiment of the present invention, the sum of the durations of the M environmental comfort states is equal to N.

[0081] Figure 2 A schematic diagram of a calculation process of an environmental comfort state duration according to an embodiment of the present invention is shown.

[0082] According to an embodiment of the present invention, a general method for calculating the duration of an environmental comfort state includes:

[0083] Assume that the environmental comfort index I is divided into m environmental comfort levels according to the value , there are n environmental comfort values ​​in a given period of time The environmental comfort level calculated according to the numerical value of the environmental comfort value is , then the duration of the environmental comfort state can be calculated according to the following formula (1):

[0084] ;

[0085] (1);

[0086] in, Indicates that the environmental comfort value is The duration of the environmental comfort state is in the range of ,all The sum of .

[0087] like Figure 2 As shown, the environmental comfort index I1 corresponds to the environmental comfort level level 1, the environmental comfort index I2 corresponds to the environmental comfort level level 2, ..., the environmental comfort index I n Corresponding environmental comfort level n Then, according to N environmental comfort levels, m environmental comfort state durations TSD1, TSD2, ..., TSD m .

[0088] In operation S140, a weighted summation process is performed on the M environmental comfort state durations according to the comfort weights corresponding to the M index value levels to output a comfort state evaluation result of the target area within a preset time period, wherein the comfort state evaluation result includes a weighted summation process result, the M environmental comfort state durations and / or the proportion of each environmental comfort state duration.

[0089] It should be noted that the duration of the environmental comfort state and the proportion of the duration of the environmental comfort state can reflect the distribution of different comfort levels for the target area, that is, it reflects the distribution of cold and hot comfort in the target area; the weighted summation result can reflect the overall comfort level of the target area. The weighted summation result, the duration of the environmental comfort state and the proportion of the duration of the environmental comfort state are two different evaluation methods.

[0090] According to an embodiment of the present invention, the above method also includes: generating a statistical graph based on the comfort state evaluation result, wherein the statistical graph represents the distribution of the duration of the environmental comfort state corresponding to M indicator value levels, and / or the distribution of the proportion of the duration of the environmental comfort state corresponding to the M indicator value levels; and displaying the statistical graph on the display interface.

[0091] According to an embodiment of the present invention, the statistical graph includes at least one of the following: a bar graph, a line graph, and a pie chart.

[0092] According to an embodiment of the present invention, the weighted summation of the durations of the M environmental comfort states according to the comfort weights corresponding to the M index value levels can be calculated using the following formula (2).

[0093] (2);

[0094] Among them, S is the weighted value after the weighted summation. is the duration of environmental comfort corresponding to the cth indicator level, is the comfort weight corresponding to the cth indicator level.

[0095] According to the embodiment of the present invention, when it is necessary to output a weighted value of the comfort state evaluation result, formula (2) is used to perform weighted summation processing to obtain a weighted value, and the evaluation result of comfort or discomfort of the target area within a preset time period is output according to the weighted value.

[0096] According to an embodiment of the present invention, weighted summation is a method for reflecting the overall comfort state of the target area. By performing a weighted process of [-1, 1] from discomfort to comfort, the larger the result value, the longer the comfortable time and the more comfortable it is, and the smaller the value (negative value), the longer the uncomfortable time and the more uncomfortable it is.

[0097] For example, if N=30 (30 days in a month), the weighted result in the most comfortable case is 30, and the weighted result in the least comfortable case is -30. The weighted results of comfort for all locations are between [-30, 30], so that a quantitative value can be used to represent the comfort level.

[0098] According to an embodiment of the present invention, when it is necessary to output a binary value of the comfort state evaluation result, the above method also includes: classifying M indicator value levels according to the classification rules corresponding to the target comfort index to obtain a comfort level set and a discomfort level set; determining the sum of the durations of the environmental comfort state of all indicator value levels in the comfort level set to obtain a first value; determining the sum of the durations of the environmental comfort state of all indicator value levels in the discomfort level set to obtain a second value; and outputting the evaluation result of comfort or discomfort of the target area within a preset time period according to the evaluation rules corresponding to the target comfort index, the first value and the second value.

[0099] According to the embodiment of the present invention, it should be noted that different target comfort indexes have corresponding classification rules and evaluation rules. For example, the human comfort index has corresponding classification rules and evaluation rules; the universal thermal climate index has corresponding classification rules and evaluation rules.

[0100] According to an embodiment of the present invention, the classification rule corresponding to the human body comfort index may include classifying the comfort level into a comfort level set, and classifying the cold discomfort level and the heat discomfort level into an discomfort level set.

[0101] According to an embodiment of the present invention, the classification rules corresponding to the general thermal climate index may include classifying the moderate heat stress level, the no heat stress level, the slight cold stress level and the moderate cold stress level into a comfort level concentration, and classifying the extreme cold stress level, the super cold stress level, the strong cold stress level, the strong heat stress level, the super heat stress level and the extreme heat stress level into an uncomfortable level concentration.

[0102] According to an embodiment of the present invention, the target comfort index includes a general thermal climate index, and the level classification rule table corresponding to the general thermal climate index includes an extreme cold stress level, a super strong cold stress level, a strong cold stress level, a moderate cold stress level, a slight cold stress level, a no heat stress level, a moderate heat stress level, a strong heat stress level, a super strong heat stress level, and an extreme heat stress level;

[0103] According to the classification rules corresponding to the target comfort index, the M index value levels are classified to obtain a comfort level set and a discomfort level set, including: according to the classification rules corresponding to the general thermal climate index, the extreme cold stress level, the super cold stress level, the strong cold stress level, the moderate cold stress level, the slight cold stress level, the no heat stress level, the moderate heat stress level, the strong heat stress level, the super heat stress level and the extreme heat stress level are classified to obtain a comfort level set and a discomfort level set, wherein the comfort level set includes the moderate heat stress level, the no heat stress level, the slight cold stress level and the moderate cold stress level, and the discomfort level set includes the extreme cold stress level, the super cold stress level, the strong cold stress level, the strong heat stress level, the super heat stress level and the extreme heat stress;

[0104] Determining the sum of the durations of the environmental comfort states of all index value levels in the comfort level set to obtain the first value includes: determining the sum of the durations of the environmental comfort states corresponding to the moderate heat stress level, the no heat stress level, the slight cold stress level, and the moderate cold stress level to obtain the first value;

[0105] Determining the sum of the durations of the environmental comfort states of all index value levels in the discomfort level set to obtain the second value includes: determining the sum of the durations of the environmental comfort states corresponding to the extreme cold stress level, the super strong cold stress level, the strong cold stress level, the strong heat stress level, the super strong heat stress level and the extreme heat stress to obtain the second value;

[0106] According to the evaluation rules, the first value and the second value corresponding to the target comfort index, the evaluation result of whether the target area is comfortable or uncomfortable within the preset time period is outputted, including: when it is determined that the first value and the second value satisfy the evaluation rules, the evaluation result that the comfort state of the target area within the preset time period is comfortable is outputted; when it is determined that the first value and the second value do not satisfy the evaluation rules, the evaluation result that the comfort state of the target area within the preset time period is uncomfortable is outputted.

[0107] According to an embodiment of the present invention, the target comfort index includes a human thermal comfort index, and the level division rule table corresponding to the human thermal comfort index includes a cold discomfort level, a comfort level, and a thermal discomfort level; the comfort level set includes a comfort level; the discomfort level set includes a cold discomfort level and a thermal discomfort level; wherein determining the sum of the environmental comfort state durations of all indicator value levels in the comfort level set to obtain the first value includes: obtaining the first value according to the environmental comfort state duration corresponding to the comfort level;

[0108] Determining the sum of the durations of the environmental comfort states of all index value levels in the discomfort level set to obtain the second value includes: obtaining the second value according to the sum of the durations of the environmental comfort states corresponding to the cold discomfort level and the heat discomfort level;

[0109] Outputting an evaluation result of whether a target area is comfortable or uncomfortable within a preset time period according to preset rules, a first value, and a second value corresponding to a target comfort index includes: when it is determined that the first value and the second value satisfy the preset rules, outputting an evaluation result that the comfort state of the target area within the preset time period is comfortable; when it is determined that the first value and the second value do not satisfy the preset rules, outputting an evaluation result that the comfort state of the target area within the preset time period is uncomfortable.

[0110] It should be noted that the present invention does not limit the classification rules and evaluation rules corresponding to the target comfort index, and can be pre-configured according to different target comfort indexes.

[0111] Figure 3 A flow chart of an environmental comfort evaluation method according to another embodiment of the present invention is shown.

[0112] like Figure 3 As shown, the environmental comfort evaluation method of this embodiment includes operations S301 to S306.

[0113] In operation S301, according to the preset target comfort index, N index values ​​of the target area within the preset time period and a grade division rule table corresponding to the target comfort index are obtained, wherein the grade division rule table includes M index value levels and comfort weights corresponding to each index value level, N is a positive integer ≥1, and M is a positive integer ≥1.

[0114] In operation S302, for an i-th indicator value among N indicator values, an i-th level value corresponding to the i-th indicator value is determined according to M indicator value levels, so as to obtain N level values.

[0115] In operation S303, for the j-th indicator value level among the M indicator value levels, a level value that is the same as the j-th indicator value level is selected from the N level values ​​to obtain a current target level value.

[0116] In operation S304, the j-th environmental comfort state duration is determined according to the sum of the number of current target level values, and M environmental comfort state durations are obtained.

[0117] In operation S305, a weighted summation process is performed on the M environmental comfort state durations according to the comfort weights corresponding to the M index value levels to output a comfort state evaluation result of the target area within a preset time period, wherein the comfort state evaluation result includes a weighted summation process result, the M environmental comfort state durations and / or the proportion of each environmental comfort state duration.

[0118] In operation S306, a statistical graph is generated according to the comfort state evaluation result and displayed on the display interface, wherein the statistical graph represents the distribution of the environmental comfort state duration corresponding to the M index value levels and / or the distribution of the proportion of the environmental comfort state duration corresponding to the M index value levels.

[0119] According to an embodiment of the present invention, the duration of the environmental comfort state (Thermal Stress Duration, TSD) is used to describe the duration of a place in different environmental comfort states within a given time period. For example, the duration of the environmental comfort state may include the duration of the human body thermal stress state (Thermal Stress Duration, TSD), which is used to describe the duration of a place in different thermal stress states within a given time period. The present invention designs a calculation method for the duration of the environmental comfort state, which plays an important role in describing and evaluating the human body environmental comfort of a place and measuring whether a place is comfortable or livable. The duration of the environmental comfort state is relatively wide in applicability. For environmental comfort indicators that can be graded, such as the above-mentioned general thermal climate index (thermal stress level is divided into 10 levels), human comfort index (comfort level is divided into 9 levels), wet bulb black globe temperature, wind chill index, heat index, humidity index, standard effective temperature, body temperature, physiological equivalent temperature, etc., the corresponding environmental comfort state duration can be calculated, so as to facilitate the analysis of the comfort state of a place over a period of time.

[0120] The environmental comfort evaluation method of the present invention is further explained below in conjunction with specific embodiments.

[0121] Example 1

[0122] The universal thermal climate index UTCI is taken as an example of the target comfort index to illustrate the processing of the environmental comfort evaluation method.

[0123] According to the equivalent temperature value of the universal thermal climate index, human heat stress is divided into 10 levels (extreme cold stress, super cold stress, strong cold stress, moderate cold stress, slight cold stress, no heat stress, moderate heat stress, strong heat stress, super heat stress, extreme heat stress). . Assume that within a given period of time there is General heat index for the hour , its thermal stress level value As shown in formula (3):

[0124] (3);

[0125] According to the above general heat climate index According to the human body heat stress level classification rules, the duration of human body heat stress state corresponding to the universal thermal climate index UTCI is:

[0126]

[0127] (4);

[0128] in, It is the cumulative duration when the thermal stress level is c, there are 10 types If the given time period is one day (a total of 24 common heat index values), then all The sum of the values ​​is 24, see Table 7 and Table 8 for example.

[0129] Table 7 shows the heat stress level values ​​corresponding to the 24 general heat climate index values.

[0130] Table 8 shows the duration of human heat stress state corresponding to 24 common heat climate index values.

[0131] Table 7

[0132]

[0133] Table 8

[0134]

[0135] According to Table 8, a statistical graph showing the duration of human heat stress state as a function of the index value level can be generated and displayed on the display interface, so as to analyze the comfort state of the target area according to the statistical graph.

[0136] According to Table 8 and formula (5), the TSD values ​​can also be weighted and summed to obtain a weighted value, such as 5.1.

[0137] (5).

[0138] For different regions, the same comfort index and the same preset time period can be used to determine the weighted value S of each region. The larger the weighted value, the higher the comfort level of the region. For example, for region A and region B, the weighted values ​​S of region A and region B are determined using the comfort index a and the preset time period n. A and SB， If S A Greater than S B It indicates that the comfort level in area A is greater than that in area B.

[0139] It should be noted that when judging the comfort level based on the weighted value S, the comparison is meaningful only under the same given conditions (the same comfort level index and preset time period).

[0140] It is meaningless to compare the S values ​​determined by different comfort indices. For example, the S value determined by the general thermal climate index in Example 1 and the S value determined by the environmental comfort index in Example 2 should not be compared. That is, although there is a difference in size between 5.1 obtained by formula (5) and 2.5 obtained by formula (6), they should not be compared together because their comfort indices are different and it is meaningless to compare them together.

[0141] Example 2

[0142] Taking the human comfort index as the target comfort index as an example, the processing process of the environmental comfort evaluation method is explained.

[0143] According to regulations, the human comfort index is divided into 9 levels (very cold, cold, slightly cold, relatively comfortable, comfortable, relatively comfortable, slightly hot, hot, and extremely hot).

[0144] The environmental comfort level Assume that there are 7 hours of environmental comfort index in a given period of time , its environmental comfort level value As shown in Table 9.

[0145] Table 9

[0146]

[0147] The duration of the environmental comfort state corresponding to the human comfort index at this time It is the cumulative duration when the environmental comfort level is c, there are 9 types , a total of 7 human comfort indexes, then all The sum of the values ​​is 7. The results are shown in Table 10.

[0148] Table 10

[0149]

[0150] According to Table 10, a statistical graph showing the duration of human heat stress state as a function of the index value level can be generated and displayed on the display interface, so as to analyze the comfort state of the target area according to the statistical graph.

[0151] According to Table 10 and formula (6), the TSD values ​​can also be weighted and summed to obtain a weighted value, such as 2.5.

[0152] (6);

[0153] Based on the above environmental comfort evaluation method, the present invention also provides an environmental comfort evaluation device based on duration. Figure 4 The device is described in detail.

[0154] Figure 4 The structure block diagram of the environmental comfort evaluation device according to an embodiment of the present invention is shown.

[0155] like Figure 4 As shown, the device 400 for evaluating environmental comfort based on duration in this embodiment includes an acquisition module 410 , a first determination module 420 , a second determination module 430 and an output module 440 .

[0156] The acquisition module 410 is used to obtain N indicator values ​​of the target area within a preset time period and a grade classification rule table corresponding to the target comfort index according to the preset target comfort index, wherein the grade classification rule table includes M indicator value levels and the comfort weight corresponding to each indicator value level, N is a positive integer ≥1, and M is a positive integer ≥1.

[0157] The first determination module 420 is used to determine, for an i-th indicator value among the N indicator values, an i-th level value corresponding to the i-th indicator value according to the M indicator value levels, to obtain N level values.

[0158] The second determination module 430 is used to determine, for the j-th indicator value level among the M indicator value levels, the j-th environmental comfort state duration corresponding to the j-th indicator value level according to N level values, and obtain M environmental comfort state durations, wherein the j-th environmental comfort state duration represents the duration that the indicator value of the target comfort indicator of the target area is at the j-th indicator value level within a preset time period.

[0159] The output module 440 is used to perform weighted sum processing on the M environmental comfort state durations according to the comfort weights corresponding to the M indicator value levels, and output the comfort state evaluation result of the target area within a preset time period, wherein the comfort state evaluation result includes the weighted sum processing result, the M environmental comfort state durations and / or the proportion of each of the environmental comfort state durations.

[0160] According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits, or at least part of the functions of any one of them can be implemented in one module. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be split into multiple modules for implementation. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be at least partially implemented as hardware circuits, such as field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), systems on chips, systems on substrates, systems on packages, application specific integrated circuits (ASICs), or can be implemented by hardware or firmware in any other reasonable way of integrating or packaging the circuit, or by any one of the three implementation methods of software, hardware, and firmware, or by a proper combination of any of them. Alternatively, according to the embodiments of the present invention, one or more of the modules, submodules, units, and subunits can be at least partially implemented as computer program modules, and when the computer program modules are run, the corresponding functions can be executed.

[0161] According to an embodiment of the present invention, any multiple modules among the acquisition module 410, the first determination module 420, the second determination module 430 and the output module 440 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present invention, at least one of the acquisition module 410, the first determination module 420, the second determination module 430 and the output module 440 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware and firmware or in a proper combination of any of them. Alternatively, at least one of the acquisition module 410 , the first determination module 420 , the second determination module 430 , and the output module 440 may be at least partially implemented as a computer program module, and when the computer program module is executed, a corresponding function may be performed.

[0162] It should be noted that the encoding device part in the embodiment of the present invention corresponds to the encoding method part in the embodiment of the present invention. The description of the encoding device part specifically refers to the encoding method part, which will not be repeated here.

[0163] Figure 5 A block diagram of an electronic device suitable for implementing an environmental comfort evaluation method according to an embodiment of the present invention is shown.

[0164] like Figure 5 As shown, the electronic device 500 according to an embodiment of the present invention includes a processor 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage part 508 to a random access memory (RAM) 503. The processor 501 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 501 may also include an onboard memory for caching purposes. The processor 501 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0165] In RAM 503, various programs and data required for the operation of electronic device 500 are stored. Processor 501, ROM 502 and RAM 503 are connected to each other via bus 504. Processor 501 performs various operations of the method flow according to the embodiment of the present invention by executing the program in ROM 502 and / or RAM 503. It should be noted that the program can also be stored in one or more memories other than ROM 502 and RAM 503. Processor 501 can also perform various operations of the method flow according to the embodiment of the present invention by executing the program stored in the one or more memories.

[0166] According to an embodiment of the present invention, the electronic device 500 may further include an input / output (I / O) interface 505, which is also connected to the bus 504. The electronic device 500 may further include one or more of the following components connected to the I / O interface 505: an input portion 506 including a keyboard, a mouse, etc.; an output portion 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 508 including a hard disk, etc.; and a communication portion 509 including a network interface card such as a LAN card, a modem, etc. The communication portion 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed, so that a computer program read therefrom is installed into the storage portion 508 as needed.

[0167] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiment; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present invention is implemented.

[0168] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present invention, the computer-readable storage medium may include the ROM 502 and / or RAM 503 described above and / or one or more memories other than ROM 502 and RAM 503.

[0169] The embodiment of the present invention also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the method provided by the embodiment of the present invention.

[0170] The computer program executes the above functions defined in the system / device of the embodiment of the present invention when it is executed by the processor 501. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0171] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 509, and / or installed from the removable medium 511. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0172] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 509, and / or installed from the removable medium 511. When the computer program is executed by the processor 501, the above functions defined in the system of the embodiment of the present invention are performed. According to the embodiment of the present invention, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0173] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., using an Internet service provider to connect through the Internet).

[0174] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0175] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present invention may be combined and / or combined in various ways, even if such combinations and / or combinations are not explicitly described in the present invention. In particular, the features described in the various embodiments and / or claims of the present invention may be combined and / or combined in various ways without departing from the spirit and teachings of the present invention. All of these combinations and / or combinations fall within the scope of the present invention.

[0176] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although each embodiment is described above, it does not mean that the measures in each embodiment cannot be used in combination. The scope of the present invention is defined by the attached claims and their equivalents. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A method for evaluating environmental comfort based on duration, characterized in that: The method comprises: According to a preset target comfort index, N index values ​​of the target area within a preset time period and a grade classification rule table corresponding to the target comfort index are obtained, wherein the grade classification rule table includes M index value levels and a comfort weight corresponding to each index value level, N is a positive integer ≥1, and M is a positive integer ≥1; For an i-th indicator value among the N indicator values, determine an i-th level value corresponding to the i-th indicator value according to the M indicator value levels, to obtain N level values; For a j-th indicator value level among the M indicator value levels, determine a j-th environmental comfort state duration corresponding to the j-th indicator value level according to the N level values, and obtain M environmental comfort state durations, wherein the j-th environmental comfort state duration represents the duration of time that the indicator value of the target comfort indicator of the target area is at the j-th indicator value level within the preset time period; The M environmental comfort state durations are weightedly summed according to the comfort weights corresponding to the M indicator value levels, and a comfort state evaluation result of the target area within the preset time period is output, wherein the comfort state evaluation result includes the weighted summation result, the M environmental comfort state durations and / or the proportion of each environmental comfort state duration.

2. The method according to claim 1, characterized in that The step of determining, for the jth index value level among the M index value levels, the jth environmental comfort state duration corresponding to the jth index value level according to the N level values ​​comprises: For the j-th indicator value level among the M indicator value levels, select a level value that is the same as the j-th indicator value level from the N level values ​​to obtain a current target level value; The j-th environmental comfort state duration is determined according to the number of the current target level values.

3. The method according to claim 2, characterized in that The step of determining the j-th environmental comfort state duration according to the number of the current target level values ​​comprises: The duration of the j-th environmental comfort state is determined according to the sum of the current target level values.

4. The method according to claim 1, characterized in that: The sum of the durations of the M environmental comfort states is equal to N.

5. The method according to claim 1, characterized in that The target comfort index includes at least one of the following: human comfort index, universal thermal climate index, wet-bulb globe temperature, wind chill index, heat index, humidity index, standard effective temperature, perceived temperature, and physiological equivalent temperature.

6. The method according to claim 1, characterized in that The method further comprises: Generate a statistical graph according to the comfort state evaluation result, wherein the statistical graph represents the distribution of the duration of the environmental comfort state corresponding to the M index value levels, and / or the distribution of the proportion of the duration of the environmental comfort state corresponding to the M index value levels; The statistical chart is displayed on the display interface.

7. The method according to claim 6, characterized in that The statistical chart includes at least one of the following: a bar chart, a line chart, and a pie chart.

8. The method according to claim 1, characterized in that Also includes: Classifying the M index value levels according to the classification rules corresponding to the target comfort index to obtain a comfort level set and a discomfort level set; Determine the sum of the durations of the environmental comfort states of all index value levels in the comfort level set to obtain a first value; Determine the sum of the durations of the environmental comfort states of all index value levels in the discomfort level set to obtain a second value; According to the evaluation rule corresponding to the target comfort index, the first value and the second value, an evaluation result of whether the target area is comfortable or uncomfortable within the preset time period is output.

9. The method according to claim 8, characterized in that The target comfort index includes a general thermal climate index, and the grade classification rule table corresponding to the general thermal climate index includes an extreme cold stress grade, an extremely strong cold stress grade, a strong cold stress grade, a moderate cold stress grade, a slight cold stress grade, a no heat stress grade, a moderate heat stress grade, a strong heat stress grade, an extremely strong heat stress grade, and an extreme heat stress grade; The method of classifying the M index value levels according to the classification rules corresponding to the target comfort index to obtain the comfort level set and the discomfort level set includes: classifying the extreme cold stress level, the super cold stress level, the strong cold stress level, the moderate cold stress level, the slight cold stress level, the no heat stress level, the moderate heat stress level, the strong heat stress level, the super heat stress level and the extreme heat stress level according to the classification rules corresponding to the universal thermal climate index to obtain the comfort level set and the discomfort level set, wherein the comfort level set includes the moderate heat stress level, the no heat stress level, the slight cold stress level and the moderate cold stress level, and the discomfort level set includes the extreme cold stress level, the super cold stress level, the strong cold stress level, the strong heat stress level, the super heat stress level and the extreme heat stress; Determining the sum of the durations of the environmental comfort states of all index value levels in the comfort level set to obtain the first value includes: determining the sum of the durations of the environmental comfort states corresponding to the moderate heat stress level, the no heat stress level, the slight cold stress level, and the moderate cold stress level to obtain the first value; Determining the sum of the durations of the environmental comfort states of all index value levels in the discomfort level set to obtain the second value includes: determining the sum of the durations of the environmental comfort states corresponding to the extreme cold stress level, the super strong cold stress level, the strong cold stress level, the strong heat stress level, the super strong heat stress level and the extreme heat stress to obtain the second value; The method of outputting an evaluation result of whether the target area is comfortable or uncomfortable within the preset time period based on the evaluation rules corresponding to the target comfort index, the first value and the second value includes: when it is determined that the first value and the second value satisfy the evaluation rules, outputting an evaluation result that the comfort state of the target area within the preset time period is comfortable; when it is determined that the first value and the second value do not satisfy the evaluation rules, outputting an evaluation result that the comfort state of the target area within the preset time period is uncomfortable.

10. A device for evaluating environmental comfort based on duration, characterized in that: The device comprises: An acquisition module, configured to acquire, according to a preset target comfort index, N index values ​​of a target area within a preset time period and a grade classification rule table corresponding to the target comfort index, wherein the grade classification rule table includes M index value levels and a comfort weight corresponding to each index value level, N is a positive integer ≥1, and M is a positive integer ≥1; A first determining module is used to determine, for an i-th indicator value among the N indicator values, an i-th level value corresponding to the i-th indicator value according to the M indicator value levels, to obtain N level values; A second determination module is used to determine, for a j-th indicator value level among the M indicator value levels, a j-th environmental comfort state duration corresponding to the j-th indicator value level according to the N level values, to obtain M environmental comfort state durations, wherein the j-th environmental comfort state duration represents the duration of time during which the indicator value of the target comfort indicator of the target area is at the j-th indicator value level within the preset time period; An output module is used to perform weighted sum processing on the M environmental comfort state durations according to the comfort weights corresponding to the M indicator value levels, and output the comfort state evaluation result of the target area within the preset time period, wherein the comfort state evaluation result includes the weighted sum processing result, the M environmental comfort state durations and / or the proportion of each environmental comfort state duration.

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