System and method for analyzing energy-saving effect of heating, ventilating and air conditioning of green building

Abstract

The invention relates to the technical field of heating, ventilating and air conditioning energy-saving optimization, in particular to a green building heating, ventilating and air conditioning energy-saving effect analysis system and method.The method comprises the steps that gas diffusion threat and mosquito reproduction danger of a target area in a building under current heating, ventilating and air conditioning working parameters are analyzed; according to the analysis result, the environment air pollution degree of the target area in the building under the current heating ventilation air conditioner working parameters is evaluated; according to the evaluation result, multiple sets of heating ventilation air conditioner working parameter adjusting schemes are generated; performing energy-saving effect evaluation on the heating, ventilating and air-conditioning working parameter adjustment schemes, screening out the heating, ventilating and air-conditioning working parameter adjustment scheme with the best energy-saving effect, and applying the heating, ventilating and air-conditioning working parameter adjustment scheme to a heating, ventilating and air-conditioning system in a target area in the building; therefore, the dynamic balance between the energy consumption target and the environmental risk is realized; and the energy-saving operation efficiency of the heating ventilation air-conditioning system of the green building is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of heating, ventilation and air conditioning energy saving optimization, and in particular to a green building heating, ventilation and air conditioning energy saving effect analysis system and method. BACKGROUND

[0002] Under the wave of global low-carbon transformation, green buildings, as an important carrier for the harmonious coexistence of man and nature, have become a core indicator for measuring the level of sustainable development of a city. The energy utilization efficiency and environmental friendliness of green buildings have become a core indicator for measuring the level of sustainable development of a city. The heating, ventilation and air conditioning system, as the main component for regulating the indoor thermal and humid environment and ensuring the indoor air quality, directly affects the comprehensive performance of green buildings. In the summer high-temperature environment, special areas such as toilets and garbage recycling bins in buildings become difficult points for building environmental management. The toilet area is prone to produce irritating gases represented by ammonia and indole due to the decomposition of human excrement and the volatilization of cleaning supplies, while the garbage recycling bin area will accelerate the decomposition of various types of household garbage under the catalysis of high temperature, releasing hydrogen sulfide, methyl mercaptan and other gases with foul odor; not only affecting the living experience of personnel, but also causing chronic infection damage to the respiratory tract of personnel living in such an environment for a long time; at the same time, the high-temperature and high-humidity environment also accelerates the breeding of mosquitoes, and the flying and inhabiting process of mosquitoes further aggravates the diffusion of harmful gases, thereby seriously reducing the comfort and safety of the indoor environment.

[0003] The existing heating, ventilation and air conditioning energy saving analysis method mainly focuses on macro energy consumption statistics or single parameter optimization, such as adjusting the temperature set value or controlling the fresh air ratio to achieve local energy saving; such working parameter adjustment scheme ignores the comprehensive consideration of harmful gas diffusion and mosquito breeding in special areas; for example, when the exhaust system of the heating, ventilation and air conditioning system does not fully consider the harmful gases in special areas, the harmful gases will diffuse to the non-pollution source areas such as office areas and corridors through the return air system, forming cross pollution; if the energy saving effect is overemphasized, the unreasonable adjustment of air conditioning working parameters will also lead to the breeding of vectors in hidden spaces such as garbage disposal areas and drainage wells; at the same time, the existing technology also ignores the fact that air pollution and environmental pollution in the living environment under high temperature and high humidity can be improved by adjusting the air conditioner; when considering the energy saving effect of the air conditioner, the influence of energy consumption, pollutant migration and biological risk on the living experience is not comprehensively analyzed, resulting in that the existing air conditioning working parameter adjustment scheme does not fully consider the living comfort of the building, and cannot generate a reasonable and effective air conditioning working parameter adjustment scheme that meets the energy saving demand and inhibits the pollution of the living environment.

[0004] In order to solve these problems, the present application designs a green building heating, ventilation and air conditioning energy saving effect analysis system and method. SUMMARY

[0005] The purpose of the present application is to provide a green building HVAC energy-saving effect analysis system and method, which analyzes the gas diffusion threat and mosquito breeding danger of the target area in the building under the current HVAC working parameters; further evaluates the environmental air pollution degree of the target area in the building under the current HVAC working parameters; generates multiple HVAC working parameter adjustment schemes; selects the best HVAC working parameter adjustment scheme in terms of energy-saving effect and applies it to the HVAC system in the target area of the building; realizes the dynamic balance between energy consumption targets and environmental risks; and improves the energy-saving operation efficiency of the green building HVAC system.

[0006] The present application is implemented as follows: In a first aspect, the present application provides a green building HVAC energy-saving effect analysis method, comprising the following steps: S1, obtaining gas data and mosquito data of a target area in a building, and simultaneously obtaining target area temperature and humidity data and HVAC working parameter data; S2, based on the gas data and the HVAC working parameter data, analyzing the gas diffusion threat of the target area in the building under the current HVAC working parameters; S3, based on the mosquito data, the target area temperature and humidity data, and the HVAC working parameter data, analyzing the mosquito breeding danger of the target area in the building under the current HVAC working parameters; S4, combining the gas diffusion threat analysis result and the mosquito breeding danger analysis result of the target area in the building under the current HVAC working parameters, evaluating the environmental air pollution degree of the target area in the building under the current HVAC working parameters; S5, generating multiple HVAC working parameter adjustment schemes according to the HVAC working parameter data and the environmental air pollution degree evaluation result of the target area in the building under the current HVAC working parameters; S6, evaluating the energy-saving effect of the HVAC working parameter adjustment schemes, selecting the best HVAC working parameter adjustment scheme in terms of energy-saving effect, and applying it to the HVAC system in the target area of the building.

[0007] As an implementation manner of the present application, in step S2, based on the gas data and the HVAC working parameter data, the gas diffusion threat of the target area in the building under the current HVAC working parameters is analyzed, specifically including: S21, extracting the gas data and the HVAC working parameter data of the target area in the building; S22, based on the gas data and the HVAC working parameter data of the target area in the building, analyzing the physical diffusion danger degree of the target area in the building under the current HVAC working parameters; S23, based on the gas data and the HVAC working parameter data of the target area in the building, analyze the health risk exposure degree of the target area in the building under the current HVAC working parameter; S24, combine the physical diffusion risk degree analysis result and the health risk exposure degree analysis result of the target area in the building under the current HVAC working parameter, analyze the gas diffusion threat of the target area in the building under the current HVAC working parameter.

[0008] As an implementation manner of the present application, in step S3, based on the mosquito data, the target area temperature and humidity data and the HVAC working parameter data, analyze the mosquito breeding danger of the target area in the building under the current HVAC working parameter, specifically including the following steps: S31, extract the mosquito data, the target area temperature and humidity data and the HVAC working parameter data of the target area in the building; S32, based on the mosquito data, the target area temperature and humidity data and the HVAC working parameter data of the target area in the building, analyze the mosquito breeding environment suitability degree of the target area in the building under the current HVAC working parameter; S33, based on the mosquito data and the mosquito breeding environment suitability degree analysis result of the target area in the building, analyze the mosquito breeding danger of the target area in the building under the current HVAC working parameter.

[0009] As an implementation manner of the present application, in step S32, analyze the mosquito breeding environment suitability degree of the target area in the building under the current HVAC working parameter, including the following specific steps: S321, extract the temperature and humidity data of each equal-area monitoring sub-area of the target area; S322, according to the mosquito suitable laying temperature range in the mosquito data of the target area in the building, extract the sum of the areas of the corresponding equal-area monitoring sub-areas whose monitoring temperature is located in the mosquito suitable laying temperature range from the temperature and humidity data of each equal-area monitoring sub-area under the current HVAC working parameter, and take the ratio between the sum of the areas of the corresponding equal-area monitoring sub-areas whose monitoring temperature is located in the mosquito suitable laying temperature range and the total area of the target area as the mosquito breeding temperature suitable area ratio of the target area in the building under the current HVAC working parameter; S323, according to the mosquito suitable hatching humidity range in the mosquito data of the target area in the building, extract the sum of the areas of the corresponding equal-area monitoring sub-areas whose monitoring humidity is located in the mosquito suitable hatching humidity range from the temperature and humidity data of each equal-area monitoring sub-area under the current HVAC working parameter, and take the ratio between the sum of the areas of the corresponding equal-area monitoring sub-areas whose monitoring humidity is located in the mosquito suitable hatching humidity range and the total area of the target area as the mosquito breeding humidity suitable area ratio of the target area in the building under the current HVAC working parameter; S324, taking the average of the sum of the mosquito breeding suitable temperature area ratio and the mosquito breeding suitable humidity area ratio of the target area in the building under the current HVAC working parameter as the mosquito survival adaptation coefficient of the target area in the building under the current HVAC working parameter; S325, extracting the average air supply speed of each equal-area monitoring sub-area of the target area in the HVAC working parameter data, presetting a mosquito flight interference wind speed threshold, calculating the total area of the corresponding equal-area monitoring sub-area whose average air supply speed is less than the mosquito flight interference wind speed threshold, and taking the ratio between the total area of the corresponding equal-area monitoring sub-area whose average air supply speed is less than the mosquito flight interference wind speed threshold and the total area of the target area as the mosquito habitat stability coefficient of the target area in the building under the current HVAC working parameter; S326, taking the product of the mosquito survival adaptation coefficient and the mosquito habitat stability coefficient of the target area in the building under the current HVAC working parameter as the mosquito breeding environment suitability degree of the target area in the building under the current HVAC working parameter; The analysis of the mosquito breeding danger of the target area in the building under the current HVAC working parameter in S33 includes the following specific steps: S331, extracting the mosquito density of each equal-area monitoring sub-area of the target area in the mosquito data under the current HVAC working parameter, and taking the ratio between the average mosquito density of each equal-area monitoring sub-area and the minimum mosquito density of each equal-area monitoring sub-area as the mosquito load coefficient of the target area in the building under the current HVAC working parameter; S332, taking the product of the mosquito load coefficient and the mosquito breeding environment suitability degree of the target area in the building under the current HVAC working parameter as the mosquito breeding danger of the target area in the building under the current HVAC working parameter.

[0010] As an implementation manner of the present application, the environmental air pollution degree of the target area in the building under the current HVAC working parameter is evaluated in step S4, which includes the following specific steps: S41, obtaining the gas diffusion threat analysis result and the mosquito breeding danger analysis result of the target area in the building under the current HVAC working parameter; S42, performing weighted summation on the gas diffusion threat analysis result and the mosquito breeding danger analysis result of the target area in the building under the current HVAC working parameter to obtain the environmental air pollution degree of the target area in the building under the current HVAC working parameter.

[0011] As an implementation manner of the present application, in step S5, a plurality of HVAC working parameter adjustment schemes are generated according to the HVAC working parameter data and the environmental air pollution degree evaluation result of the target area in the building under the current HVAC working parameter, specifically including: S51, acquire the environment air pollution degree of the target area in the building under the current HVAC working parameter; S52, import the HVAC working parameter data and the environment air pollution degree of the target area in the building under the current HVAC working parameter into the adjustment scheme generation strategy, and generate multiple groups of HVAC working parameter adjustment schemes for the current HVAC working parameter.

[0012] As an implementation manner of the present application, the energy-saving effect of the HVAC working parameter adjustment scheme is evaluated in step S6, the best HVAC working parameter adjustment scheme is screened out, and is applied to the HVAC system in the target area in the building, and specifically includes: S61, acquire the multiple groups of HVAC working parameter adjustment schemes generated by the adjustment scheme generation strategy; S62, import all groups of HVAC working parameter adjustment schemes into the energy consumption simulation software respectively, and calculate the total energy consumption of the HVAC system corresponding to all groups of HVAC working parameter adjustment schemes; S63, subtract the total energy consumption of the HVAC system corresponding to all groups of HVAC working parameter adjustment schemes from the total energy consumption of the HVAC system under the current HVAC working parameter respectively, acquire the corresponding HVAC working parameter adjustment scheme with the minimum difference value as the best HVAC working parameter adjustment scheme in energy-saving effect, and apply it to the HVAC system in the target area in the building.

[0013] In a second aspect, the present application provides a green building HVAC energy-saving effect analysis system, which includes: A data acquisition module is configured to acquire gas data and mosquito data of a target area in a building, and acquire target area temperature and humidity data and HVAC working parameter data; A gas diffusion threat analysis module is configured to analyze the gas diffusion threat of the target area in the building under the current HVAC working parameter based on the gas data and the HVAC working parameter data; A mosquito breeding danger analysis module is configured to analyze the mosquito breeding danger of the target area in the building under the current HVAC working parameter based on the mosquito data, the target area temperature and humidity data, and the HVAC working parameter data; An environment air pollution degree evaluation module is configured to evaluate the environment air pollution degree of the target area in the building under the current HVAC working parameter based on the gas diffusion threat analysis result and the mosquito breeding danger analysis result of the target area in the building under the current HVAC working parameter; A working parameter adjustment scheme generation module is configured to generate multiple groups of HVAC working parameter adjustment schemes according to the HVAC working parameter data and the environment air pollution degree evaluation result of the target area in the building under the current HVAC working parameter; The energy-saving effect evaluation and screening module is used to evaluate the energy-saving effect of HVAC operating parameter adjustment schemes, screen out the HVAC operating parameter adjustment scheme with the best energy-saving effect, and apply it to the HVAC system of the target area within the building. The control module is used to control the operation of the data acquisition module, the gas diffusion threat analysis module, the mosquito breeding hazard analysis module, the ambient air pollution level assessment module, the working parameter adjustment scheme generation module, and the scheme energy-saving effect evaluation and screening module.

[0014] Thirdly, the present invention provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a method for analyzing the energy-saving effect of green building heating, ventilation and air conditioning by calling the computer program stored in the memory.

[0015] Compared with the prior art, the present invention has the following advantages and beneficial effects: This invention analyzes the gas diffusion threat and mosquito breeding risk in a target area within a building under current HVAC operating parameters; based on the analysis results, it assesses the degree of ambient air pollution in the target area under the current HVAC operating parameters; based on the assessment results, it generates multiple HVAC operating parameter adjustment schemes; it evaluates the energy-saving effect of the HVAC operating parameter adjustment schemes, selects the HVAC operating parameter adjustment scheme with the best energy-saving effect, and applies it to the HVAC system in the target area within the building; thereby achieving a dynamic balance between energy consumption targets and environmental risks; and improving the energy-saving operating efficiency of green building HVAC systems. Attached Figure Description

[0016] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of the overall process of a green building HVAC energy-saving effect analysis method according to the present invention; Figure 2 This is a schematic diagram of the structure of a green building HVAC energy-saving effect analysis system according to the present invention; Figure 3 This is a flowchart illustrating step S2 of the green building HVAC energy-saving effect analysis method of the present invention. Figure 4 This is a flowchart illustrating step S3 of the green building HVAC energy-saving effect analysis method of the present invention. Detailed Implementation

[0017] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0018] Example 1 like Figure 1 As shown in the figure, this embodiment provides a method for analyzing the energy-saving effect of HVAC in green buildings, which specifically includes the following steps: S1. Acquire gas data and mosquito data for the target area within the building, and simultaneously acquire temperature and humidity data and HVAC operating parameter data for the target area; S2. Based on gas data and HVAC operating parameter data, analyze the gas diffusion threat in the target area of ​​the building under the current HVAC operating parameters; S3. Based on mosquito data, target area temperature and humidity data, and HVAC operating parameter data, analyze the risk of mosquito breeding in the target area of ​​the building under the current HVAC operating parameters. S4. Based on the analysis results of gas diffusion threat and mosquito breeding risk in the target area of ​​the building under the current HVAC operating parameters, assess the degree of ambient air pollution in the target area of ​​the building under the current HVAC operating parameters. S5. Based on the HVAC operating parameter data and the assessment results of the ambient air pollution level in the target area of ​​the building under the current HVAC operating parameters, generate multiple sets of HVAC operating parameter adjustment schemes; S6. Evaluate the energy-saving effect of the HVAC operating parameter adjustment schemes, select the HVAC operating parameter adjustment scheme with the best energy-saving effect, and apply it to the HVAC system of the target area in the building.

[0019] In this embodiment, as Figure 3 As shown, step S2 analyzes the gas diffusion threat in the target area within the building under the current HVAC operating parameters based on gas data and HVAC operating parameter data. Specifically, this includes: S21. Extract gas data and HVAC operating parameter data for the target area within the building; S22. Based on the gas data and HVAC operating parameter data of the target area within the building, analyze the degree of physical diffusion hazard of the target area within the building under the current HVAC operating parameters; obtaining the average concentration of the harmful gas in each equal-area monitoring sub-region of the target area under the current HVAC working parameters, calculating the average of the average concentrations of the harmful gas in all the equal-area monitoring sub-regions, and taking the ratio of the maximum value of the average concentrations of the harmful gas in all the equal-area monitoring sub-regions to the average of the average concentrations of the harmful gas in all the equal-area monitoring sub-regions as the physical diffusion risk degree of the target area in the building under the current HVAC working parameters; In this embodiment, the physical diffusion risk degree is quantified by obtaining the average concentration of the harmful gas in each equal-area monitoring sub-region and calculating the ratio of the average value to the maximum value, which can clearly reflect the uneven distribution of the harmful gas in the target area. The greater the physical diffusion risk degree, the higher the risk of local concentration of the harmful gas in the local area, and the higher the risk of local concentration in the physical diffusion process. Compared with the traditional method of judging the diffusion risk only by the average concentration, this embodiment can capture potential local high-risk points and provide more accurate targeting basis for subsequent health risk assessment and HVAC parameter adjustment, ensuring that the analysis result is more in line with the actual diffusion risk situation.

[0020] S23, based on the gas data and HVAC working parameter data of the target area in the building, analyzing the health risk exposure degree of the target area in the building under the current HVAC working parameters; obtaining the average length of stay of personnel in each equal-area monitoring sub-region of the target area under the current HVAC working parameters, calculating the average of the average length of stay of personnel in all the equal-area monitoring sub-regions, and performing ratio operation on the average length of stay of personnel in the equal-area monitoring sub-region corresponding to the maximum value of the average concentration of the harmful gas and the average of the average length of stay of personnel in all the equal-area monitoring sub-regions, taking the operation result as the health risk exposure degree of the target area in the building under the current HVAC working parameters; The analysis of the health risk exposure degree in this embodiment remedies the limitation of the prior art that only assesses the gas hazard risk from the perspective of physical diffusion, and incorporates the factor of personnel residence into the risk assessment system. By calculating the ratio of the average length of stay of personnel in the sub-region with high concentration of harmful gas to the overall average length of stay, it can directly reflect whether there is a situation of long-term exposure of personnel in the high-risk area. For example, if the harmful gas concentration in a sub-region is the highest and the length of stay of personnel in this region is significantly higher than that in other regions, it indicates that the actual health risk exposure degree is high; on the contrary, even if the concentration in a region is high but the length of stay of personnel is short, the health risk is relatively low. This embodiment combines the physical properties of the harmful gas with the activity rules of personnel, making the health risk assessment more close to the real threat faced by personnel in the actual scene, avoiding the one-sidedness of judging the health risk only according to the gas concentration and ignoring the length of exposure of personnel, and providing a more practical reference index for subsequent comprehensive assessment of the threat of gas diffusion.

[0021] S24, combine the physical diffusion risk degree analysis result and the health risk exposure degree analysis result of the target area in the building under the current HVAC working parameter, and analyze the gas diffusion threat of the target area in the building under the current HVAC working parameter; Exemplarily, in the embodiment, the physical diffusion risk influence weight and the health risk exposure influence weight can be obtained by the entropy method. Based on the physical diffusion risk influence weight and the health risk exposure influence weight, the physical diffusion risk degree analysis result and the health risk exposure degree analysis result of the target area in the building under the current HVAC working parameter are weighted and summed to obtain the gas diffusion threat of the target area in the building under the current HVAC working parameter. The method of obtaining the weight by the entropy method is as follows: A1, collect the physical diffusion risk degree analysis result and the health risk exposure degree analysis result at n time points to form a sample set; A2, establish a 2*n order evaluation matrix, wherein the first row vector is the physical diffusion risk degree analysis result at n time points, and the second row vector is the health risk exposure analysis result at n time points; A3, the first row vector and the second row vector are standardized by the extreme value method to obtain the standard value of each vector in the 2*n order evaluation matrix; A4, calculate the ratio of each vector standard value in each row to the sum of all vector standard values in each row as the proportion of each vector; A5, substitute the proportion of each vector in each row into the information entropy formula of the entropy method to calculate the information entropy value of each row; A6, subtract the information entropy value of each row from 1 to obtain the difference coefficient of each row; A7, divide the difference coefficient of the first row by the value of all row difference coefficients as the physical diffusion risk influence weight; divide the difference coefficient of the second row by the value of all row difference coefficients as the health risk exposure influence weight.

[0022] The physical diffusion risk degree and the health risk exposure degree are combined to analyze the gas diffusion threat in the embodiment, and the comprehensive and systematic evaluation of the gas diffusion threat is realized. The influence weights of the two types of indexes are determined by the entropy value method in the embodiment, the weights can be objectively allocated according to the discrete degree of the data itself, and the deviation caused by subjective weighting is avoided. On this basis, the diffusion uneven risk in the physical layer and the actual exposure risk of personnel are integrated into a comprehensive threat index, which considers not only the spatial distribution characteristics of the harmful gas, but also the exposure of personnel in the high-risk area. The limitations of the single index evaluation in the prior art are overcome. In the embodiment, for example, if the physical diffusion risk degree is high but the health risk exposure degree is low, the gas diffusion threat may be at a medium level; otherwise, if both are high, the gas diffusion threat significantly increases. The gas risk condition of the target area under the current heating ventilation and air conditioning parameters can be more comprehensively reflected, and the evaluation result has more decision reference value.

[0023] In the embodiment, as shown in Figure 4 the mosquito breeding danger of the target area in the building under the current heating ventilation and air conditioning parameters is analyzed based on the mosquito data, the target area temperature and humidity data and the heating ventilation and air conditioning working parameter data in step S3, which specifically includes the following steps: S31, extracting the mosquito data, the target area temperature and humidity data and the heating ventilation and air conditioning working parameter data of the target area in the building; For example, mosquito breeding is jointly affected by mosquito density, environmental temperature and humidity and the air supply speed of the heating ventilation and air conditioning, and a single type of data cannot comprehensively reflect the breeding risk. The three types of data are extracted synchronously in the embodiment, so that the subsequent analysis can cover the biological basis, environmental conditions and the regulation of equipment on the environment of mosquito survival. For example, the air supply speed of the heating ventilation and air conditioning affects the habitat stability of mosquitoes, the temperature and humidity directly affect the egg laying and hatching of mosquitoes, and the mosquito data reflects the current population size. The data extraction in step S31 provides complete input information for the environmental suitability analysis and the breeding danger calculation, avoids analysis loopholes caused by data missing, and ensures that the mosquito breeding danger analysis is scientific and comprehensive from the source; the method for obtaining the mosquito density is the prior art, which is not described herein again; S32, analyzing the environmental suitability degree of mosquito breeding of the target area in the building under the current heating ventilation and air conditioning parameters based on the mosquito data, the target area temperature and humidity data and the heating ventilation and air conditioning working parameter data of the target area in the building; In this embodiment, by analyzing the suitability of the mosquito breeding environment, the complex environmental factors affecting mosquito survival and reproduction are converted into quantifiable indicators, providing a clear basis for evaluating mosquito breeding conditions. By calculating the suitable temperature area ratio and suitable humidity area ratio, this embodiment can accurately reflect the temperature and humidity distribution range suitable for mosquito egg laying and hatching in the target area. The higher the ratio, the more conducive the environment is to mosquito survival. The mosquito habitat stability coefficient quantifies the disturbance of the heating ventilation and air conditioning system to the mosquito habitat by comparing the air supply speed with the disturbance threshold. The lower the wind speed, the more stable the mosquito habitat, and the higher the mosquito habitat stability coefficient. Finally, the survival adaptation coefficient is multiplied by the habitat stability coefficient, taking into account the influence of temperature and humidity suitability and environmental stability on mosquito reproduction. This avoids subjective descriptions of environmental conditions, making the mosquito breeding environment suitability in different regions and at different times comparable, and laying a solid foundation for subsequent analysis of mosquito breeding risk based on environmental factors.

[0024] S33, based on the mosquito data of the target area in the building and the analysis results of the mosquito breeding environment suitability, analyze the mosquito breeding risk of the target area in the building under the current heating ventilation and air conditioning working parameters.

[0025] In this embodiment, the mosquito breeding environment suitability of the target area in the building under the current heating ventilation and air conditioning working parameters in step S32 includes the following specific steps: S321, extract the temperature and humidity data of each equal-area monitoring sub-area of the target area; S322, according to the mosquito suitable egg-laying temperature range in the mosquito data of the target area in the building, extract the sum of the areas of the corresponding equal-area monitoring sub-areas whose monitoring temperature is within the mosquito suitable egg-laying temperature range from the temperature and humidity data of each equal-area monitoring sub-area under the current heating ventilation and air conditioning working parameters, and take the ratio between the sum of the areas of the corresponding equal-area monitoring sub-areas whose monitoring temperature is within the mosquito suitable egg-laying temperature range and the total area of the target area as the mosquito breeding suitable temperature area ratio of the target area in the building under the current heating ventilation and air conditioning working parameters. In this embodiment, the mosquito suitable egg-laying temperature range is 26-30 degrees Celsius by default. S323, according to the mosquito suitable hatching humidity range in the mosquito data of the target area in the building, extract the sum of the areas of the corresponding equal-area monitoring sub-areas whose monitoring humidity is within the mosquito suitable hatching humidity range from the temperature and humidity data of each equal-area monitoring sub-area under the current heating ventilation and air conditioning working parameters, and take the ratio between the sum of the areas of the corresponding equal-area monitoring sub-areas whose monitoring humidity is within the mosquito suitable hatching humidity range and the total area of the target area as the mosquito breeding suitable humidity area ratio of the target area in the building under the current heating ventilation and air conditioning working parameters. In this embodiment, the mosquito suitable hatching humidity range is 80%-100% by default. S324, taking the average of the sum of the mosquito breeding suitable temperature area ratio and the mosquito breeding suitable humidity area ratio of the target area in the building under the current HVAC working parameters as the mosquito survival adaptation coefficient of the target area in the building under the current HVAC working parameters; S325, extracting the average air supply speed of each equal-area monitoring sub-area of the target area in the HVAC working parameter data, presetting a mosquito flight interference wind speed threshold, calculating the total area of the corresponding equal-area monitoring sub-area whose average air supply speed is less than the mosquito flight interference wind speed threshold, and taking the ratio between the total area of the corresponding equal-area monitoring sub-area whose average air supply speed is less than the mosquito flight interference wind speed threshold and the total area of the target area as the mosquito habitat stability coefficient of the target area in the building under the current HVAC working parameters; in the embodiment, the mosquito flight interference wind speed threshold is 0.15 m / s by default; most common mosquitoes have limited flight capabilities, and research shows that when the environmental wind speed reaches 0.15 m / s, it will significantly interfere with the flight trajectory, flight stability and flight efficiency of mosquitoes. At such a wind speed, mosquitoes have difficulty maintaining straight flight and need to consume more energy to adjust their flight posture, which will significantly affect their activities such as seeking habitat, foraging and mating. Therefore, setting the threshold to 0.15 m / s can more accurately reflect the impact of wind speed on mosquito flight behavior and help determine which areas are suitable for mosquito habitat. In the natural environment, when the wind speed reaches a certain level, mosquitoes will seek relatively wind-sheltered areas to inhabit. A wind speed of 0.15 m / s is close to the critical wind speed at which mosquitoes in the natural environment begin to seek stable habitats due to flight disturbance. By setting this threshold, the natural environmental restrictions on mosquito flight can be better simulated, thereby more accurately assessing which areas in the target area of the building are likely to become stable habitats for mosquitoes. For the HVAC system, setting the threshold to 0.15 m / s can help the system adjust the air supply speed in a targeted manner. When the average air supply speed of some equal-area monitoring sub-areas is detected to be less than the threshold, it indicates that these areas may be potential stable habitats for mosquitoes. At this time, the HVAC working parameters can be adjusted, such as increasing the air supply speed in these areas to exceed 0.15 m / s, thereby interfering with mosquito flight, reducing mosquito habitat and aggregation in these areas, and effectively controlling the distribution of mosquitoes in the building.

[0026] S326, taking the product of the mosquito survival adaptation coefficient and the mosquito habitat stability coefficient of the target area in the building under the current HVAC working parameters as the mosquito breeding environment suitability of the target area in the building under the current HVAC working parameters; The analysis of the mosquito breeding danger of the target area in the building under the current HVAC working parameters in S33 includes the following specific steps: S331, extract the mosquito density of each equal-area monitoring sub-region in the target area in the mosquito data under the current HVAC working parameter, and take the ratio of the average mosquito density of each equal-area monitoring sub-region to the minimum mosquito density of each equal-area monitoring sub-region as the mosquito load coefficient of the target area in the building under the current HVAC working parameter; S332, take the product of the mosquito load coefficient of the target area in the building under the current HVAC working parameter and the environmental suitability degree of mosquito breeding as the mosquito breeding risk of the target area in the building under the current HVAC working parameter.

[0027] In this embodiment, the potential risk of mosquito breeding under the current HVAC parameter is comprehensively evaluated by integrating the current mosquito population status and environmental suitability. In step S331, the mosquito load coefficient is calculated by the ratio of the average mosquito density to the minimum mosquito density, which reflects the uneven degree of mosquito distribution and the overall population size in the target area. For example, the larger the ratio, the greater the difference in mosquito density and the higher the overall load. In step S332, the load coefficient is multiplied by the environmental suitability, which takes into account both the current mosquito population base and the environmental support for mosquito breeding, thereby forming a comprehensive evaluation index of mosquito breeding risk. This avoids the potential risk of ignoring the environmental potential for breeding when only looking at the number of mosquitoes, or ignoring the current low mosquito base when only looking at environmental suitability, and can more accurately judge the risk of mosquito population growth in the target area under the current HVAC parameter.

[0028] In this embodiment, the environmental air pollution degree of the target area in the building under the current HVAC working parameter is evaluated in step S4, including the following specific steps: S41, obtain the gas diffusion threat analysis result and the mosquito breeding risk analysis result of the target area in the building under the current HVAC working parameter; S42, weight and sum the gas diffusion threat analysis result and the mosquito breeding risk analysis result of the target area in the building under the current HVAC working parameter to obtain the environmental air pollution degree of the target area in the building under the current HVAC working parameter; wherein the weight of the gas diffusion threat analysis result and the weight of the mosquito breeding risk analysis result are obtained by the entropy method, and the specific process of calculating the weight by the entropy method is shown in steps A1-A7 in this embodiment, which will not be repeated here.

[0029] In this embodiment, in step S5, a plurality of HVAC working parameter adjustment schemes are generated according to the HVAC working parameter data and the environmental air pollution degree evaluation result of the target area in the building under the current HVAC working parameter, specifically including: S51, obtain the environmental air pollution degree of the target area in the building under the current HVAC working parameter; S52, import the heating, ventilation and air conditioning working parameter data and the environmental air pollution degree of the target area in the building under the current heating, ventilation and air conditioning working parameter into the adjustment scheme generation strategy, and generate multiple sets of heating, ventilation and air conditioning working parameter adjustment schemes for the current heating, ventilation and air conditioning working parameter.

[0030] The specific execution steps of the adjustment scheme generation strategy are as follows: S521, obtain the current heating, ventilation and air conditioning working mode corresponding to the heating, ventilation and air conditioning working parameter. In this embodiment, the heating, ventilation and air conditioning working mode can include but is not limited to the heating mode and the cooling mode. S522, based on the current heating, ventilation and air conditioning working mode, extract multiple sets of historical heating, ventilation and air conditioning working parameter adjustment schemes corresponding to the current heating, ventilation and air conditioning working mode from the historical heating, ventilation and air conditioning working parameter adjustment database. S523, based on the environmental air pollution degree of the target area in the building under the current heating, ventilation and air conditioning working parameter, extract multiple sets of historical working mode adjustment schemes that are closest to the environmental air pollution degree of the target area in the building under the current heating, ventilation and air conditioning working parameter from the multiple sets of historical heating, ventilation and air conditioning working parameter adjustment schemes as the multiple sets of heating, ventilation and air conditioning working parameter adjustment schemes generated by the adjustment scheme generation strategy.

[0031] In this embodiment, determining the current heating, ventilation and air conditioning working mode is a key prerequisite for ensuring the pertinence of the adjustment scheme. The core parameters of the heating, ventilation and air conditioning system are significantly different under different working modes. Ignoring the differences in the heating, ventilation and air conditioning working mode may lead to conflicts between the scheme and the operation logic of the equipment, for example, generating a scheme to reduce the temperature in the heating mode may violate the heating demand. In this embodiment, the current mode is determined to define the range for extracting the scheme from the historical database in the subsequent step, ensuring that the extracted historical scheme is consistent with the current operation logic and improving the feasibility of the scheme. At the same time, the determination of the heating, ventilation and air conditioning working mode also enables the subsequent adjustment of the scheme to focus on the key parameters under this working mode, avoiding the adjustment of invalid parameters and improving the efficiency and accuracy of the scheme generation.

[0032] In this embodiment, the heating, ventilation and air conditioning working parameter adjustment scheme is evaluated for energy saving effect in step S6, and the heating, ventilation and air conditioning working parameter adjustment scheme with the best energy saving effect is selected and applied to the heating, ventilation and air conditioning system in the target area in the building. Specifically, the method comprises the following steps: S61, obtain the multiple sets of heating, ventilation and air conditioning working parameter adjustment schemes generated by the adjustment scheme generation strategy; S62, import all sets of heating, ventilation and air conditioning working parameter adjustment schemes into energy consumption simulation software to calculate the total energy consumption of the heating, ventilation and air conditioning system corresponding to all sets of heating, ventilation and air conditioning working parameter adjustment schemes; The total energy consumption of each group of adjustment schemes is calculated by the energy consumption simulation software in this embodiment, which provides objective and quantifiable basis for evaluating energy saving effect. The energy consumption simulation software can accurately simulate the hourly energy consumption under different schemes based on the building physical model of the target area, the parameters of heating, ventilation and air conditioning equipment and the adjustment scheme parameters, and accumulate the total energy consumption. Compared with empirical estimation, it can more accurately reflect the actual impact of different parameter adjustments on energy consumption. At the same time, the unified simulation boundary conditions ensure the comparability of the energy consumption data of each group of schemes, avoiding evaluation deviation caused by external factors. This embodiment quantifies the energy consumption of each scheme, providing clear data support for subsequent selection of the best energy saving scheme, ensuring that the finally selected scheme can improve the environment while minimizing energy consumption.

[0033] Exemplarily, the energy consumption calculation by the energy consumption simulation software in this embodiment is a prior art, therefore, only a brief description is given in combination with this embodiment: S621, building a building physical model of the target area in the energy consumption simulation software, and importing the basic parameters of the heating, ventilation and air conditioning system, such as equipment model, rated power, pipeline layout, etc. S622, inputting the adjustment scheme generated by the working parameter adjustment scheme generation strategy: for each group of heating, ventilation and air conditioning working parameter adjustment schemes, the parameters such as set temperature, supply air velocity and ventilation frequency are input into the system control module of the energy consumption simulation software one by one, replacing the original parameter settings, and ensuring that the parameter input of each group of schemes is accurately corresponding; S623, setting the energy consumption simulation boundary conditions: uniformly setting the simulation period, for example, the total energy consumption of the heating, ventilation and air conditioning working parameter adjustment scheme running for 24 hours can be simulated, at the same time, inputting the outdoor meteorological parameters, such as temperature and humidity values in the future simulation period; S624, starting the software simulation function, the energy consumption simulation software will calculate the hourly energy consumption based on the set heating, ventilation and air conditioning working parameter adjustment scheme parameters, and automatically accumulate the energy consumption data of each period; S625, after the simulation is completed, the total energy consumption of each group of heating, ventilation and air conditioning working parameter adjustment schemes obtained by simulation is exported from the software output module.

[0034] S63, the total energy consumption of the heating, ventilation and air conditioning system corresponding to all groups of heating, ventilation and air conditioning working parameter adjustment schemes is respectively subtracted from the total energy consumption of the heating, ventilation and air conditioning system under the current heating, ventilation and air conditioning working parameters, and the heating, ventilation and air conditioning working parameter adjustment scheme corresponding to the minimum difference value is obtained as the best heating, ventilation and air conditioning working parameter adjustment scheme in terms of energy saving effect, and is applied to the heating, ventilation and air conditioning system of the target area in the building.

[0035] Embodiment 2 As Figure 2As shown, the embodiment provides a green building HVAC energy-saving effect analysis system, comprising: The data acquisition module is configured to acquire gas data and mosquito data of a target area in the building, and simultaneously acquire temperature and humidity data and HVAC working parameter data of the target area. The gas diffusion threat analysis module is configured to analyze the gas diffusion threat of the target area in the building under the current HVAC working parameters based on the gas data and the HVAC working parameter data. The mosquito breeding danger analysis module is configured to analyze the mosquito breeding danger of the target area in the building under the current HVAC working parameters based on the mosquito data, the temperature and humidity data of the target area, and the HVAC working parameter data. The environmental air pollution degree evaluation module is configured to evaluate the environmental air pollution degree of the target area in the building under the current HVAC working parameters based on the analysis results of the gas diffusion threat and the mosquito breeding danger of the target area in the building under the current HVAC working parameters. The working parameter adjustment scheme generation module is configured to generate multiple sets of HVAC working parameter adjustment schemes based on the HVAC working parameter data and the evaluation results of the environmental air pollution degree of the target area in the building under the current HVAC working parameters. The scheme energy-saving effect evaluation and screening module is configured to evaluate the energy-saving effects of the HVAC working parameter adjustment schemes, screen out the HVAC working parameter adjustment scheme with the best energy-saving effect, and apply the scheme to the HVAC system of the target area in the building. The control module is configured to control the operation of the data acquisition module, the gas diffusion threat analysis module, the mosquito breeding danger analysis module, the environmental air pollution degree evaluation module, the working parameter adjustment scheme generation module, and the scheme energy-saving effect evaluation and screening module.

[0036] The steps of implementing the functions of the parameters and the unit modules in the green building HVAC energy-saving effect analysis system can refer to the parameters and steps in the embodiments of the green building HVAC energy-saving effect analysis method, which will not be repeated here.

[0037] Embodiment 3 The electronic device of the embodiment of the application comprises a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a green building heating ventilation air conditioning energy saving effect analysis method by calling the computer program stored in the memory. It should be noted that all computer programs of the green building heating ventilation air conditioning energy saving effect analysis method are realized by using C language, wherein the data acquisition module, the gas diffusion threat analysis module, the mosquito breeding danger analysis module, the environmental air pollution degree evaluation module, the working parameter adjustment scheme generation module, the scheme energy saving effect evaluation and screening module and the control module are all controlled by a remote server.

[0038] In the description of the present specification, the description referring to the terms "one embodiment", "an example", "a specific example" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0039] The preferred embodiments of the application disclosed above are only used to help explain the application. The preferred embodiments do not describe all the details and limit the application to the specific embodiments. Obviously, according to the content of the present specification, many modifications and changes can be made. The present specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the application, so that those skilled in the art can well understand and utilize the application. The application is limited only by the claims and their full scope and equivalents.

Claims

1. A method for analyzing the energy-saving effect of HVAC systems in green buildings, characterized in that, Includes the following steps: S1. Acquire gas data and mosquito data for the target area within the building, and simultaneously acquire temperature and humidity data and HVAC operating parameter data for the target area; S2. Based on gas data and HVAC operating parameter data, analyze the gas diffusion threat in the target area of ​​the building under the current HVAC operating parameters; S3. Based on mosquito data, target area temperature and humidity data, and HVAC operating parameter data, analyze the risk of mosquito breeding in the target area of ​​the building under the current HVAC operating parameters. S4. Based on the analysis results of gas diffusion threat and mosquito breeding risk in the target area of ​​the building under the current HVAC operating parameters, assess the degree of ambient air pollution in the target area of ​​the building under the current HVAC operating parameters. S5. Based on the HVAC operating parameter data and the assessment results of the ambient air pollution level in the target area of ​​the building under the current HVAC operating parameters, generate multiple sets of HVAC operating parameter adjustment schemes; S6. Evaluate the energy-saving effect of the HVAC operating parameter adjustment schemes, select the HVAC operating parameter adjustment scheme with the best energy-saving effect, and apply it to the HVAC system of the target area in the building.

2. The method for analyzing the energy-saving effect of green building HVAC according to claim 1, characterized in that, Step S2 involves analyzing the gas diffusion threat in a target area within a building under the current HVAC operating parameters, based on gas data and HVAC operating parameter data. Specifically, this includes: S21. Extract gas data and HVAC operating parameter data for the target area within the building; S22. Based on the gas data and HVAC operating parameter data of the target area within the building, analyze the degree of physical diffusion hazard of the target area within the building under the current HVAC operating parameters; S23. Based on the gas data and HVAC operating parameter data of the target area within the building, analyze the degree of health risk exposure of the target area within the building under the current HVAC operating parameters; S24. Based on the analysis results of the physical diffusion hazard level and health risk exposure level of the target area within the building under the current HVAC operating parameters, analyze the gas diffusion threat level of the target area within the building under the current HVAC operating parameters.

3. The method for analyzing the energy-saving effect of green building HVAC according to claim 2, characterized in that, Step S3 analyzes the risk of mosquito breeding in the target area of ​​the building under the current HVAC operating parameters based on mosquito data, target area temperature and humidity data, and HVAC operating parameter data. This includes the following steps: S31. Extract mosquito data, temperature and humidity data, and HVAC operating parameter data of the target area within the building. S32. Based on mosquito data, temperature and humidity data, and HVAC operating parameters of the target area within the building, analyze the suitability of the mosquito breeding environment in the target area within the building under the current HVAC operating parameters. S33. Based on the mosquito data and mosquito breeding environment suitability analysis results of the target area within the building, analyze the mosquito breeding risk of the target area within the building under the current HVAC operating parameters.

4. The method for analyzing the energy-saving effect of green building HVAC according to claim 3, characterized in that, Step S32 involves analyzing the suitability of the mosquito breeding environment in the target area of ​​the building under the current HVAC operating parameters, including the following specific steps: S321. Extract temperature and humidity data from each equal-area monitoring sub-region of the target area; S322. Based on the suitable temperature range for mosquito egg-laying in the mosquito data of the target area within the building, extract the sum of the areas of the corresponding equal-area monitoring sub-areas whose monitored temperatures fall within the suitable temperature range for mosquito egg-laying in the temperature and humidity data of each equal-area monitoring sub-area under the current HVAC operating parameters. The ratio between the sum of the areas of the corresponding equal-area monitoring sub-areas whose monitored temperatures fall within the suitable temperature range for mosquito egg-laying and the total area of ​​the target area is taken as the mosquito breeding suitable temperature area ratio of the target area within the building under the current HVAC operating parameters. S323. Based on the suitable humidity range for mosquito hatching in the mosquito data of the target area within the building, extract the sum of the areas of the corresponding equal-area monitoring sub-areas whose monitored humidity is within the suitable humidity range for mosquito hatching in the temperature and humidity data of each equal-area monitoring sub-area under the current HVAC operating parameters. The ratio between the sum of the areas of the corresponding equal-area monitoring sub-areas whose monitored humidity is within the suitable humidity range for mosquito hatching and the total area of ​​the target area is taken as the mosquito breeding suitable humidity area ratio of the target area within the building under the current HVAC operating parameters. S324. The average of the sum of the ratio of the suitable temperature area for mosquito breeding and the suitable humidity area for mosquito breeding in the target area of ​​the building under the current HVAC operating parameters shall be used as the mosquito survival adaptation coefficient in the target area of ​​the building under the current HVAC operating parameters. S325. Extract the average supply air velocity of each equal-area monitoring sub-region in the target area from the HVAC operating parameter data, preset the mosquito flight interference wind speed threshold, calculate the total area of ​​the corresponding equal-area monitoring sub-regions whose average supply air velocity is less than the mosquito flight interference wind speed threshold, and use the ratio between the total area of ​​the corresponding equal-area monitoring sub-regions whose average supply air velocity is less than the mosquito flight interference wind speed threshold and the total area of ​​the target area as the mosquito habitat stability coefficient of the target area in the building under the current HVAC operating parameters. S326. The product of the mosquito survival adaptation coefficient and the mosquito habitat stability coefficient in the target area of ​​the building under the current HVAC operating parameters shall be used as the suitability of the mosquito breeding environment in the target area of ​​the building under the current HVAC operating parameters. The S33 section analyzes the mosquito breeding risk in the target area of ​​the building under the current HVAC operating parameters, including the following specific steps: S331. Extract the mosquito density of each equal-area monitoring sub-region of the target area from the mosquito data under the current HVAC operating parameters, and use the ratio of the average value of the mosquito density of each equal-area monitoring sub-region to the minimum value of the mosquito density of each equal-area monitoring sub-region as the mosquito load coefficient of the target area in the building under the current HVAC operating parameters. S332. The product of the mosquito load coefficient of the target area within the building under the current HVAC operating parameters and the suitability of the mosquito breeding environment is taken as the mosquito breeding risk of the target area within the building under the current HVAC operating parameters.

5. The method for analyzing the energy-saving effect of green building HVAC according to claim 4, characterized in that, Step S4 involves assessing the ambient air pollution level in the target area of ​​the building under the current HVAC operating parameters, including the following specific steps: S41. Obtain the gas diffusion threat analysis results and mosquito breeding risk analysis results for the target area within the building under the current HVAC operating parameters; S42. The results of the gas diffusion threat analysis and the mosquito breeding hazard analysis of the target area inside the building under the current HVAC operating parameters are weighted and summed to obtain the ambient air pollution level of the target area inside the building under the current HVAC operating parameters.

6. The method for analyzing the energy-saving effect of green building HVAC according to claim 5, characterized in that, In step S5, based on the HVAC operating parameter data and the assessment results of the ambient air pollution level in the target area within the building under the current HVAC operating parameters, multiple sets of HVAC operating parameter adjustment schemes are generated, specifically including: S51. Obtain the ambient air pollution level of the target area within the building under the current HVAC operating parameters; S52. Import the HVAC operating parameter data and the ambient air pollution level of the target area in the building under the current HVAC operating parameters into the adjustment scheme generation strategy, and generate multiple sets of HVAC operating parameter adjustment schemes for the current HVAC operating parameters.

7. The method for analyzing the energy-saving effect of green building HVAC according to claim 6, characterized in that, Step S6 involves evaluating the energy-saving effects of the HVAC operating parameter adjustment schemes, selecting the HVAC operating parameter adjustment scheme with the best energy-saving effect, and applying it to the HVAC system in the target area of ​​the building. Specifically, this includes: S61. Obtain multiple sets of HVAC working parameter adjustment schemes generated by the adjustment scheme generation strategy; S62. Import all the HVAC working parameter adjustment schemes into the energy consumption simulation software and calculate the total energy consumption of the HVAC system corresponding to all the HVAC working parameter adjustment schemes. S63. Subtract the total energy consumption of the HVAC system corresponding to all HVAC working parameter adjustment schemes from the total energy consumption of the HVAC system under the current HVAC working parameters, and obtain the HVAC working parameter adjustment scheme with the smallest difference as the HVAC working parameter adjustment scheme with the best energy saving effect, and apply it to the HVAC system of the target area in the building.

8. A green building HVAC energy-saving effect analysis system, used to implement the green building HVAC energy-saving effect analysis method according to any one of claims 1-7, characterized in that, The system includes: The data acquisition module is used to acquire gas data and mosquito data of the target area inside the building, as well as temperature and humidity data and HVAC operating parameter data of the target area. The gas diffusion threat analysis module is used to analyze the gas diffusion threat of a target area within a building under the current HVAC operating parameters, based on gas data and HVAC operating parameter data. The mosquito breeding risk analysis module is used to analyze the mosquito breeding risk in a target area of ​​a building under the current HVAC operating parameters, based on mosquito data, target area temperature and humidity data, and HVAC operating parameter data. The ambient air pollution level assessment module is used to assess the ambient air pollution level of the target area within the building under the current HVAC operating parameters by combining the analysis results of gas diffusion threat and mosquito breeding risk in the target area under the current HVAC operating parameters. The working parameter adjustment scheme generation module is used to generate multiple sets of HVAC working parameter adjustment schemes based on HVAC working parameter data and the assessment results of the ambient air pollution level of the target area in the building under the current HVAC working parameters. The energy-saving effect evaluation and screening module is used to evaluate the energy-saving effect of HVAC operating parameter adjustment schemes, screen out the HVAC operating parameter adjustment scheme with the best energy-saving effect, and apply it to the HVAC system of the target area within the building. The control module is used to control the operation of the data acquisition module, the gas diffusion threat analysis module, the mosquito breeding hazard analysis module, the ambient air pollution level assessment module, the working parameter adjustment scheme generation module, and the scheme energy-saving effect evaluation and screening module.

9. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes a method for analyzing the energy-saving effect of green building HVAC as described in any one of claims 1-7 by calling the computer program stored in the memory.

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