Indoor multi-source pollutant compartment pre-computation and healthy environment design method

Abstract

The present application relates to the technical field of building indoor environment and health design, and particularly relates to a method for indoor multi-source pollutant compartmental pre-calculation and healthy environment design, which is applied to an indoor environment intelligent analysis system. The present application takes each independent room in a residence as the minimum calculation unit, executes a compartmental concentration prediction program by the system, independently accounts for the pollutant release amount and the reference concentration of each room, and performs adjacent room penetration correction based on the adverse working condition principle; the pollution sources are classified and accounted for according to the release mechanism, and the dynamic safety factor is combined to calculate the predicted concentration of pollutants in each room; when the predicted concentration exceeds the standard, the quantitative material selection optimization scheme is automatically output through the pollution source contribution degree analysis, and the iteration calculation is performed until all rooms meet the standard. The present application places pollution control in the design stage, can avoid the false compliance problem caused by the whole house average accounting, covers all kinds of hidden pollution sources, can be converted into a standardized software, and realizes the source control of decoration pollution.

Description

Technical Field

[0001] This invention relates to the field of building interior environment and health design technology, specifically to a method for pre-calculating multi-source pollutants in indoor spaces and designing a healthy environment. Background Technology

[0002] Currently, the prevention and control of indoor decoration pollution in residential buildings mainly relies on the environmental protection certification of individual materials, and a method for calculating the overall pollution under the condition of multiple materials being combined has not yet been established. In practice, even if the individual materials used all meet environmental protection standards, the concentration of indoor pollutants often exceeds the standard when multiple materials are released together.

[0003] Existing methods for measuring indoor pollutant concentrations mostly use the entire residence as a unit for overall averaging. This method tends to dilute localized high concentrations in spaces with dense furniture and high pollution loads, such as bedrooms and children's rooms, failing to reflect the true pollution status of local spaces and making it difficult to identify high-risk areas. Furthermore, most methods only include mainstream finishing materials such as wood panels and latex paint in the calculation, neglecting hidden pollution sources such as adhesives, grout sealants, waterproof coatings, putty, and internal insulation materials. This results in incomplete pollutant release statistics, affecting the accuracy and rigor of the calculation results.

[0004] Furthermore, the industry has not yet formed a standardized indoor health design system that can be quantified and implemented via software. Pollution control relies heavily on the personal experience of designers, lacks unified standards, is difficult to replicate and promote on a large scale, and cannot provide residents with clear and reliable health protection. Summary of the Invention

[0005] This invention provides a method for room-by-room pre-calculation of multiple indoor pollutants and healthy environment design. Through a strategy combining independent room-by-room accounting, calculation based on release mechanisms, dynamic safety factor correction, and iterative optimization for exceeding limits, this method achieves independent quantitative pre-assessment and iterative optimization for formaldehyde and TVOC (Total Volatile Organic Compounds)—two types of multi-source superimposed pollutants—during the residential decoration design stage. To achieve the above objectives, this invention adopts the following technical solution: A method for pre-calculating and designing healthy environments for multi-source indoor pollutants in individual rooms, applied to an intelligent indoor environmental analysis system, the method comprising: S1. The indoor environment intelligent analysis system executes a room-by-room concentration prediction program. The program independently calculates the pollutant release amount and baseline concentration of each room, and performs adjacent room infiltration correction on the concentration of each room based on the principle of unfavorable operating conditions. The correction process does not perform concentration averaging calculation for the whole house. S2. Obtain the spatial dimension parameters of each independent room in the residential design scheme from the indoor environment intelligent analysis system, and calculate the effective air volume of each room; S3. The indoor environment intelligent analysis system obtains information on the decoration materials, furniture and soft furnishings included in the design scheme of each room, calculates and records the pollutant release amount of each type of pollution source independently according to the preset pollutant release mechanism classification rules, and sums them to obtain the total pollutant release amount of each room. S4. The indoor environment intelligent analysis system determines the dynamic safety factor based on the ventilation parameters and usage scenario parameters of each room, and calculates the baseline predicted concentration of each room based on the total release of pollutants, the effective air volume, the dynamic safety factor, and the preset baseline air exchange rate. S5. The indoor environment intelligent analysis system corrects the baseline predicted concentration of each room by adjacent room infiltration based on the relative position of each room in the apartment layout and their connectivity, and obtains the final predicted concentration. S6. The indoor environmental intelligent analysis system compares the final predicted concentration of each room with the preset concentration threshold to determine compliance. If the final predicted concentration of any room exceeds the preset concentration threshold, the contribution of each type of pollution source release recorded separately in step S3 is calculated, and the contribution is sorted from high to low to generate and output a material selection optimization plan. The optimization plan indicates the replacement of specific materials or the reduction of their usage. After updating the material information according to the optimization plan, steps S3 to S6 are re-executed until all rooms meet the standards.

[0006] In some possible implementations, in step S1, the compartment concentration prediction procedure employs a two-order model: The first-order independent baseline calculation performs independent accounting for each room; The second-stage operating condition correction performs the adjacent-compartment permeability correction.

[0007] In some possible implementations, in step S3, the preset pollutant release mechanism classification rule is specifically as follows: Pollution sources are classified into three categories: area-based continuous release sources, point-based gap release sources, and fabric adsorption-re-release sources.

[0008] In some possible implementations, the dynamic safety factor is determined in step S4 as follows: The material batch fluctuation coefficient, ventilation assurance coefficient, and exposure duration weighting coefficient are obtained, and the dynamic safety coefficient is obtained by multiplying the three.

[0009] Furthermore, the material batch fluctuation coefficient is determined based on the coefficient of variation of multiple batches of the same type of material release rate test and the value is not less than 1; The ventilation guarantee factor is determined based on the window area and orientation of each independent room and is not less than 1. The exposure duration weighting coefficient is determined based on the average daily stay duration of people in each independent room and has a value of not less than 1.

[0010] In some possible implementations, in step S2, when calculating the effective air volume, it is calculated based on the building's net air volume, and the volume occupied by large, enclosed, fixed cabinets that account for a significant portion of the indoor volume and are impermeable to air is deducted. No deductions will be made for thin wall coverings and open or gridded fixed shelves.

[0011] In some possible implementations, in step S5, the adjacent compartment permeability correction is calculated using a coefficient method: Calculate the adjacent room permeability correction factor for each room, and multiply the adjacent room permeability correction factor by the baseline predicted concentration to obtain the final predicted concentration; The value of the adjacent compartment permeability correction coefficient is not less than 1.

[0012] Furthermore, the method for determining the adjacent compartment permeability correction coefficient is as follows: The opening and closing probability is taken as the proportion of the opening time of the interior doors of each independent room during the average daily time. The comprehensive penetration rate of each room is calculated based on the opening and closing probability and the number of connected neighboring rooms. The neighboring room penetration correction coefficient is the sum of 1 and the comprehensive penetration rate. The overall permeability of a room whose interior door is usually closed is 0, and the permeability correction coefficient of the adjacent room is taken as 1.0.

[0013] In some possible implementations, the ventilation assurance factor used to determine the dynamic safety factor in step S4 and the permeation parameter used to perform adjacent-room permeation correction in step S5 are assigned independent values ​​respectively: The ventilation assurance factor is determined based on the air exchange capacity between each room and the outside, and is used to calculate the baseline predicted concentration; The permeability parameters are determined based on the air exchange capacity between each room and adjacent rooms, and are used to adjust the baseline predicted concentration according to operating conditions. The two work together in sequence to obtain the final predicted concentration.

[0014] In some possible implementations, the contribution percentage in step S6 is calculated as follows: The contribution of continuous release sources in the area, the contribution of release sources in the point gaps, and the contribution of adsorption-re-release sources in the fabric are calculated separately. The contribution ratio of a single type of pollution source is the proportion of the release amount of that type of pollution source to the total release amount of pollutants in the room. Sort the pollution sources by contribution from largest to smallest, identify the pollution source categories with the highest contribution and their corresponding specific materials, and generate quantitative optimization schemes to replace the corresponding materials with materials with low release rates or reduce their usage.

[0015] As can be seen from the above technical solution, the present invention has the following beneficial effects: 1. This invention moves the pollutant control process to the interior design stage. Through an intelligent indoor environment analysis system, it can automatically predict indoor pollutant concentrations, identify exceedances, and generate optimized material selection schemes during the design phase. This can avoid the risk of pollutant exceedances after the completion of the renovation from the source, without relying on later air treatment methods. This reduces the overall cost of the entire renovation cycle and avoids the risk of secondary pollution from later treatment, thus achieving the prevention and control of renovation pollution.

[0016] 2. This invention uses a single, independent room as the smallest calculation unit, calculating the pollutant concentration in each room independently, without averaging or diluting concentrations across rooms. This effectively avoids the false compliance issues caused by averaging across the entire house. This calculation method can quantitatively identify the pollution risk in spaces with high furniture density and poor ventilation, such as bedrooms, children's rooms, and walk-in closets, ensuring that frequently used and occupied spaces meet health standards and making the calculation results more closely reflect real-life living scenarios.

[0017] 3. This invention can cover all categories of indoor pollution sources. By classifying and calculating pollution sources according to their release mechanisms, it includes not only conventional decorative panels and coatings, but also various easily overlooked hidden pollution sources such as adhesives, grout sealants, waterproof coatings, putty, and internal insulation materials, eliminating potential omissions. This comprehensive pollution calculation can accurately reconstruct the total amount of indoor pollutants released, avoiding errors in predictions due to the omission of hidden pollution sources, and providing more comprehensive technical protection for residential health.

[0018] 4. This invention corrects the baseline predicted concentration by introducing a dynamic safety factor. It comprehensively considers the impact of various practical factors, such as material batch fluctuations, room ventilation conditions, and the duration of human exposure, enabling the predicted concentration to more closely reflect the actual risk level in a real living environment. This factor can be flexibly determined according to the actual characteristics of different rooms, providing a more sufficient safety margin for the reliability of the design scheme.

[0019] 5. After determining that pollutants exceed standards, this invention can automatically perform contribution analysis based on independently calculated release amounts from various pollution sources, identify the specific materials that contribute the most to pollutant concentration, output a quantitative material selection optimization plan, and verify the optimization effect through iterative recalculation. This design method enables the pollution control process to be quantified, traceable, and verifiable, providing a relatively standardized healthy design technology path for decoration services. Attached Figure Description

[0020] The present invention will be further described below with reference to the accompanying drawings: Figure 1This is a flowchart of a method for pre-calculating indoor multi-source pollutants and designing a healthy environment according to the present invention; Detailed Implementation

[0021] The terms "first," "second," and "third," etc., used in this specification, claims, and drawings are used to distinguish different objects, not to limit a specific order.

[0022] In embodiments of the present invention, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" or "for example" in embodiments of the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only possible technical implementations of the present invention and not all possible implementations. Those skilled in the art can obtain other embodiments in conjunction with the embodiments of the present invention without creative effort, and these embodiments are also within the protection scope of the present invention.

[0024] To address the problems in existing technologies, such as the lack of multi-material superposition calculations, the inability of whole-house average calculations to reflect local true concentrations, incomplete coverage of hidden pollution sources, and the lack of a standardized design system, this invention provides a method for room-by-room pre-calculation of multi-source pollutants and healthy environment design. The technical solution of this invention will be described in detail below with reference to specific embodiments.

[0025] Example 1:

[0026] like Figure 1 As shown, this embodiment provides a method for pre-calculating indoor multi-source pollutants and designing a healthy environment. This method is applied to an indoor environmental intelligent analysis system. Taking a single children's room in a residence as the example, the complete prediction and compliance determination process for the concentrations of formaldehyde and TVOC pollutants is demonstrated. In this embodiment, the design scheme meets the standards without optimization. The specific steps are as follows: The indoor environmental intelligent analysis system has a pre-built room-by-room concentration prediction program. In this embodiment, the program exemplarily adopts a two-stage calculation logic: the first stage is an independent baseline calculation, and the second stage is a condition correction. During the calculation process, the data of each room are independent of each other, and no cross-room concentration averaging or dilution calculations are performed. The condition correction follows the principle of only considering unfavorable conditions such as infiltration from adjacent rooms.

[0027] S1. Constructing a two-tiered room-by-room calculation model: The model comprises two levels: a first-tier independent baseline calculation and a second-tier operating condition correction. The first-tier independent baseline calculation separately calculates the pollutant release and baseline concentration for the children's room. The calculation process does not involve concentration averaging or dilution calculations with other rooms, ensuring the results are independent and unaffected by other rooms. The second-tier operating condition correction follows the principle of unfavorable operating conditions. Without performing whole-room concentration averaging, it introduces a targeted trace infiltration correction based on the daily connectivity of adjacent rooms. After correction, the concentration result for that room remains independent. In this embodiment, the children's room is only adjacent to the living room; the second-tier operating condition correction only considers the concentration increase from pollutants infiltrating from adjacent rooms, without considering the reduction effect of pollutants diffusing outward from the current room.

[0028] S2. Calculate the effective air volume of the room: The net usable area of ​​the children's room is 12 square meters, and the net ceiling height is 2.6 meters. There are no fixed cabinets or soft furnishings in the room, so their occupied volume does not need to be deducted. Its effective air volume is calculated using the following formula:

[0029] In the formula, The effective air volume of the room. This refers to the net usable area of ​​the room. Let be the net floor height of the room. Substituting the parameters, we can calculate:

[0030] S3. Calculate the total release of pollutants in the room: The indoor environmental intelligent analysis system obtains the material list of the room's decoration plan and independently calculates the release of various pollutants according to the preset pollutant release mechanism classification rules. In this embodiment, the classification rules specifically divide the pollutants into three categories: area-based continuous release sources, point-based crevice release sources, and fabric adsorption-re-release sources. Exposure parameters and unit release rates under standard conditions are collected for each type of pollutant source. The release amount is calculated item by item and recorded separately. After classification and summation, the total formaldehyde release and total TVOC release are obtained. The standard operating conditions are the standard testing environmental conditions specified by the climate chamber method. The unit release rate data of all materials should be measured or converted to these conditions to ensure the consistency of data sources and the comparability of calculation results.

[0031] (1) Surface-borne continuous emission sources include custom cabinet panels, wood flooring, wall putty, and latex paint. The emission amount is calculated using the following formula:

[0032] In the formula, This refers to the amount of pollutants released from a continuous area source. For the exposed area of ​​the sheet material, The values ​​represent the standard release rate per unit area. Statistical calculations show that the formaldehyde release from the surface source in this children's room is 0.380 mg / h, and the TVOC release is 2.800 mg / h.

[0033] (2) The sources of release from point-like gaps include door frame sealant, wood floor grout, and nail-free adhesive. The release amount is calculated using the following formula:

[0034] In the formula, This refers to the amount of pollutants released from point-source fissures. The length of the joint construction. The standard release rate is calculated per unit length. Based on statistical calculations, the formaldehyde release from the point source in this children's room is 0.200 mg / h, and the TVOC release is 3.200 mg / h.

[0035] (3) Fabric adsorption-re-release sources include curtains and upholstered fabrics. The release amount is calculated using the following formula:

[0036] In the formula, This represents the amount of pollutants released from the fabric adsorption-re-release source. For the quality of fabric materials, The values ​​represent the standard release rate per unit mass. Statistical calculations show that the formaldehyde release from the fabric in this children's room is 0.052 mg / h, and the TVOC release is 0.620 mg / h.

[0037] Total release of pollutants in the room Calculate using the following formula:

[0038] The above formulas were applied to calculate formaldehyde and TVOC, respectively, to obtain the total formaldehyde release. With total TVOC emissions The calculations are as follows: Substituting the measured data from the children's room in this embodiment, the calculation results for the release amounts of various pollution sources and the total release amount are as follows: Total formaldehyde release: Total TVOC release: The release amounts of all individual materials are recorded separately for subsequent pollution source contribution analysis.

[0039] S4. Calculate the baseline predicted concentration of pollutants: The indoor environmental intelligent analysis system determines the dynamic safety factor based on the ventilation parameters and usage scenario parameters of each room. In this embodiment, a specific algorithm is used: obtaining the material batch fluctuation coefficient, ventilation assurance coefficient, and exposure duration weighting coefficient, and multiplying the three to obtain the graded dynamic safety factor. The baseline predicted concentration is calculated based on the standard operating condition baseline air exchange rate, effective air volume, and graded dynamic safety factor.

[0040] For example, the sub-coefficients of the graded dynamic safety factor are assigned values ​​according to the following rules, and the value of each sub-coefficient is not less than 1: Material batch fluctuation coefficient: 1.05-1.15 for E0 grade environmentally friendly materials and 1.15-1.3 for E1 grade environmentally friendly materials. The overall value range of this coefficient is 1.05-1.3, which is determined based on the coefficient of variation of multiple batch release rate tests of the same type of material. Ventilation assurance factor: 1.4-1.5 when the window-to-floor area ratio is less than 5%, 1.2-1.3 when the window-to-floor area ratio is 5%-10%, and 1.1-1.2 when the window-to-floor area ratio is greater than 10%. The overall value range of this factor is 1.1-1.5, which is determined based on the window area of ​​each independent room and the orientation of the apartment. It represents the air exchange capacity between the room and the outside. Exposure duration weighting coefficient: 1.3-1.4 for spaces with an average daily stay of more than 8 hours, 1.1-1.2 for spaces with an average daily stay of 4-8 hours, and 1.0-1.1 for spaces with an average daily stay of less than 4 hours. The overall value of this coefficient is 1.0-1.4, determined based on the average daily stay duration of people in each independent room.

[0041] The graded dynamic safety factor is calculated using the following formula:

[0042] In the formula, For graded dynamic safety factors, This refers to the material batch fluctuation coefficient. To ensure ventilation efficiency, This is the exposure duration weighting coefficient.

[0043] In this embodiment, the cabinet material for the children's room is E0 grade environmentally friendly material, taking into account the actual variation in test data from multiple batches of the same type of material. A value of 1.19 is taken, which falls within the full range of material batch fluctuation coefficients and conforms to the batch fluctuation correction logic; the window-to-floor area ratio of the children's room is approximately 8%. A value of 1.2 falls within the 1.2-1.3 range corresponding to a window-to-floor ratio of 5%-10%; children spend more than 8 hours per day in the room. Taking 1.4, it falls within the corresponding interval of 1.3-1.4.

[0044] Substituting the three sub-coefficients above into the formula yields the following result:

[0045] The baseline predicted concentration is calculated using the following formula:

[0046] In the formula, Based on the baseline predicted concentration, This represents the total amount of pollutants released. The standard operating condition baseline air change rate is determined based on the minimum air change requirement of the "Indoor Air Quality Standard". In this embodiment, 1.0 times / h is taken as a conservative calculation value (i.e., 1.0h). -1 ), For effective air volume, This refers to the graded dynamic safety factor.

[0047] Substitute the parameters to calculate the baseline predicted concentrations of formaldehyde and TVOC respectively: Formaldehyde baseline predicted concentration:

[0048] TVOC baseline predicted concentration:

[0049] S5. Adjacent Room Infiltration Correction: The indoor environmental intelligent analysis system corrects the baseline predicted concentration for adjacent room infiltration based on the relative positions and connectivity of each room within the apartment layout, thus obtaining the final predicted concentration. In this embodiment, the adjacent room infiltration correction specifically employs a coefficient calculation method: calculating the adjacent room infiltration correction coefficient for each room, and multiplying the adjacent room infiltration correction coefficient by the baseline predicted concentration to obtain the final predicted concentration. The specific calculation method is as follows: The adjacent compartment permeability correction factor is calculated using the following formula:

[0050] In the formula, This is the permeability correction factor for adjacent chambers. This refers to the overall room penetration rate.

[0051] The overall penetration rate is determined based on the probability of opening and closing interior doors and the number of connected neighboring rooms. The calculation method is as follows: the overall penetration rate equals the baseline penetration ratio per neighboring room multiplied by the average daily opening and closing probability of interior doors multiplied by the number of connected neighboring rooms. The baseline penetration ratio per neighboring room is set to 0.1, which is within the preset limit of no more than 0.15.

[0052] In this embodiment, the children's room is only adjacent to the living room, the number of connected neighboring rooms is 1, and the average daily opening time of the interior door is 0.2%. Substituting these values ​​into the calculation, we can obtain:

[0053] The corresponding adjacent compartment permeability correction factor is:

[0054] The correction factor is within the range of 1.0-1.15, which meets the requirements.

[0055] The final predicted concentration is calculated using the following formula:

[0056] In the formula, For the final predicted concentration of pollutants, The baseline predicted concentration of the pollutant is given. Substituting the parameters, the calculation yields: Final predicted formaldehyde concentration:

[0057] Final predicted concentration of TVOC:

[0058] In another embodiment, the adjacent room penetration correction can also be calculated using an overlay method: the adjacency relationship of each independent room is determined based on the apartment layout, and the penetration weight of each connected path is assigned based on the opening probability of each interior door in daily living scenarios; the penetration concentration increment of a single connected path can be expressed as the product of the baseline predicted concentration of adjacent rooms, the penetration weight, and a preset penetration ratio coefficient; the penetration concentration increments of all adjacent rooms are overlaid onto the baseline predicted concentration of the current room to obtain the final predicted concentration. The specific calculation method is as follows: Based on the apartment's floor plan, the children's room is adjacent to the living room only, connected by one path. The baseline predicted formaldehyde concentration in the living room is 0.030 mg / m³. 3 The baseline predicted concentration of TVOC is 0.300 mg / m³. 3 The penetration weight of this connection path is taken as the average daily opening and closing probability of the indoor door (0.2), and the preset penetration ratio coefficient is 0.1, not exceeding a limit of 0.15. The incremental penetration concentration of a single connection path is calculated using the following formula:

[0059] In the formula, This represents the increase in permeation concentration along a single path. The baseline predicted concentration for adjacent rooms, The penetration weights are the corresponding connected paths. The preset permeability ratio is used. The final predicted concentration is calculated using the following formula:

[0060] Substituting the parameters, we can calculate: Increased formaldehyde penetration:

[0061] Final predicted formaldehyde concentration:

[0062] Incremental TVOC penetration:

[0063] Final predicted concentration of TVOC:

[0064] The corrected room's baseline concentration is higher than 0.85, which meets the requirements.

[0065] In this embodiment, the parameter values ​​for the adjacent room infiltration correction are independent of the ventilation assurance factor. The ventilation assurance factor is determined based on the air exchange capacity between the room and the outside and is used to correct the baseline predicted concentration. The adjacent room infiltration correction parameter is determined based on the air exchange capacity between the room and adjacent rooms and is used to adjust the operating conditions of the baseline predicted concentration. The two parameters are assigned independent values ​​and act together in the calculation process of the final predicted concentration in a sequential manner.

[0066] S6. Compliance Determination and Iterative Optimization. The preset concentration threshold is determined based on the limits required by relevant national standards. In this embodiment, the concentration threshold is set to no more than 0.06 mg / m³ for formaldehyde. 3 TVOC not exceeding 0.45 mg / m³ 3 The final predicted concentration in the children's room was independently determined to meet the standard.

[0067] After correction using the above coefficient calculation method, the final predicted formaldehyde concentration in the children's room is 0.041 mg / m³. 3 The concentration was below the preset threshold; the final predicted concentration of TVOC was 0.432 mg / m³. 3 If the levels are below the preset threshold, the room is deemed to meet the standards for both formaldehyde and TVOC. If both formaldehyde and TVOC levels meet the limits, the room is deemed compliant. After completing the independent calculations for all other rooms in the house using the same method, if all rooms meet the standards, the overall house design plan is deemed qualified, and a room-by-room concentration report and a material selection list are generated.

[0068] Example 2:

[0069] This embodiment, based on embodiment 1, demonstrates the complete process of automatic iterative optimization performed by the indoor environment intelligent analysis system when the design scheme fails to meet the standards.

[0070] The indoor environmental intelligent analysis system performs compliance determination. If the initial plan results in exceeding the standard, the system automatically initiates a pollution source contribution analysis program. Based on independently recorded release amounts from each pollution source, in this embodiment, the contribution analysis program specifically calculates the contribution of each type of pollution source among area-based continuous release sources, point-based fissure release sources, and fabric adsorption-re-release sources. The contribution percentage of a single pollution source is the proportion of that type of pollution source's release amount to the total amount of pollutants released in the room. The system sorts pollution sources by contribution from highest to lowest, accurately identifies the pollution source category with the highest contribution and its corresponding specific material, and generates a quantitative optimization plan.

[0071] Operating conditions: Assuming the initial material selection plan, the calculated total TVOC emission for the children's room is 7.800 mg / h, and the total formaldehyde emission remains unchanged at 0.632 mg / h. Other calculation parameters include a room effective air volume of 31.2 m³. 3 Dynamic safety factor 2.0, standard operating condition reference air exchange rate 1.0 times per hour (i.e., 1.0h) -1 The permeability correction factor for adjacent chambers (1.02) is the same as in Example 1.

[0072] (1) First round of calculation and determination of exceeding the standard: First, calculate the baseline predicted concentration of TVOC:

[0073] After correction for adjacent compartment osmosis, the final predicted concentration of TVOC is:

[0074] The calculated result was compared with the preset concentration threshold: the final predicted formaldehyde concentration was approximately 0.041 mg / m³. 3 The standard was met; however, the final predicted concentration of TVOC was 0.510 mg / m³. 3 It has exceeded 0.45 mg / m³. 3 The preset threshold was used. Based on this, it was determined that the TVOC in the room did not meet the standard, and the entire house design plan was simultaneously deemed unqualified.

[0075] (2) Analysis of the contribution of pollution sources: Based on individually recorded release volumes from various pollution sources, the contribution percentage to the total TVOC release is calculated. The contribution percentage is calculated using the following formula:

[0076] In the formula, The contribution percentage of a single type or single pollution source. This refers to the TVOC emissions from this type of pollution source. This represents the total TVOC emissions in the room.

[0077] Calculations show that: the contribution of planar continuous release sources is approximately 35.9%; the contribution of point-like gap release sources is approximately 41.0%, with grout being the specific material with the highest contribution; the contribution of fabric adsorption-re-release sources is approximately 7.9%, with the remainder contributed by other materials.

[0078] Sorted from highest to lowest contribution, the grout in the point-like crack release source was identified as the specific material with the highest contribution to the excessive TVOC in the room.

[0079] (3) Output quantization optimization scheme: Based on the contribution analysis results, the following quantitative optimization plan is proposed: Replace the original ordinary tile grout with an environmentally friendly tile grout with a low release rate. After the replacement, the TVOC release of this single material is expected to be reduced by 0.900 mg / h.

[0080] (4) Iterative recalculation and final achievement determination: After the material information is confirmed and updated, the system returns to re-execute steps S3 to S6 for concentration calculation and compliance determination, performing iterative recalculation until all rooms meet the standards. After the update, the point source TVOC emission decreased from 3.200 mg / h to 2.300 mg / h, and the total room TVOC emission was recalculated as follows:

[0081] Perform steps S4 and S5 sequentially to calculate and obtain the new TVOC baseline predicted concentration:

[0082] Final predicted TVOC concentration after correction for adjacent compartments:

[0083] The optimized and recalculated final predicted TVOC concentration was compared with 0.45 mg / m³. 3 The concentration was compared with the preset concentration threshold. The TVOC concentration in the room met the limit requirements, and the formaldehyde concentration also remained within the standard.

[0084] In summary, all pollutant indicators in the room met the preset standards. After completing the corresponding calculations and iterative optimization of the scheme for each space in the entire house, the indoor environmental intelligent analysis system determined that the whole house decoration design scheme was qualified, and finally output a room-by-room pollutant concentration assessment report and an optimized list of decoration materials, providing quantifiable decision-making basis for the design and implementation of healthy decoration projects.

Claims

1. A method for pre-calculating and designing healthy environments for multi-source indoor pollutants in individual rooms, applied to an intelligent indoor environmental analysis system, characterized in that, Includes the following steps: S1. The indoor environment intelligent analysis system executes a room-by-room concentration prediction program. The program independently calculates the pollutant release amount and baseline concentration of each room, and performs adjacent room infiltration correction on the concentration of each room based on the principle of unfavorable operating conditions. The correction process does not perform concentration averaging calculation for the whole house. S2. Obtain the spatial dimension parameters of each independent room in the residential design scheme from the indoor environment intelligent analysis system, and calculate the effective air volume of each room; S3. The indoor environment intelligent analysis system obtains information on the decoration materials, furniture and soft furnishings included in the design scheme of each room, calculates and records the pollutant release amount of each type of pollution source independently according to the preset pollutant release mechanism classification rules, and sums them to obtain the total pollutant release amount of each room. S4. The indoor environment intelligent analysis system determines the dynamic safety factor based on the ventilation parameters and usage scenario parameters of each room, and calculates the baseline predicted concentration of each room based on the total release of pollutants, the effective air volume, the dynamic safety factor, and the preset baseline air exchange rate. S5. The indoor environment intelligent analysis system corrects the baseline predicted concentration of each room by adjacent room infiltration based on the relative position of each room in the apartment layout and their connectivity, and obtains the final predicted concentration. S6. The indoor environmental intelligent analysis system compares the final predicted concentration of each room with the preset concentration threshold to determine compliance. If the final predicted concentration of any room exceeds the preset concentration threshold, the contribution of each type of pollution source release recorded separately in step S3 is calculated, and the contribution is sorted from high to low to generate and output a material selection optimization plan. The optimization plan indicates the replacement of specific materials or the reduction of their usage. After updating the material information according to the optimization plan, steps S3 to S6 are re-executed until all rooms meet the standards.

2. The method for pre-calculation of indoor multi-source pollutants and design of a healthy environment according to claim 1, characterized in that, In step S1, the compartment concentration prediction program adopts a two-stage model: the first-stage independent baseline calculation performs independent calculations for each room; the second-stage operating condition correction performs the adjacent room permeability correction.

3. The method for pre-calculation of indoor multi-source pollutants and design of a healthy environment according to claim 1, characterized in that, In step S3, the preset classification rule for pollutant release mechanisms is as follows: the pollution sources are divided into three categories: area-based continuous release sources, point-based gap release sources, and fabric adsorption-re-release sources.

4. The method for pre-calculation of indoor multi-source pollutants and design of a healthy environment according to claim 1, characterized in that, In step S4, the dynamic safety factor is determined as follows: The material batch fluctuation coefficient, ventilation assurance coefficient, and exposure duration weighting coefficient are obtained, and the dynamic safety coefficient is obtained by multiplying the three.

5. The method for pre-calculation of indoor multi-source pollutants and design of a healthy environment according to claim 4, characterized in that, The material batch fluctuation coefficient is determined based on the coefficient of variation of multiple batch release rate tests of the same type of material and has a value of not less than 1; the ventilation guarantee coefficient is determined based on the window area and orientation of each independent room and has a value of not less than 1; the exposure duration weighting coefficient is determined based on the average daily stay duration of people in each independent room and has a value of not less than 1.

6. The method for pre-calculation of indoor multi-source pollutants and design of a healthy environment according to claim 1, characterized in that, In step S2, when calculating the effective air volume, it is calculated based on the building's net air volume, and the volume occupied by large enclosed fixed cabinets that account for a significant proportion of the indoor volume and are impermeable to air is deducted; thin wall decorations and open or gridded fixed shelves are not deducted.

7. The method for pre-calculation of indoor multi-source pollutants and design of a healthy environment according to claim 1, characterized in that, In step S5, the adjacent compartment permeability correction is calculated using a coefficient method: Calculate the adjacent room permeability correction factor for each room, and multiply the adjacent room permeability correction factor by the baseline predicted concentration to obtain the final predicted concentration; the value of the adjacent room permeability correction factor is not less than 1.

8. The method for pre-calculation of indoor multi-source pollutants and design of a healthy environment according to claim 7, characterized in that, The method for determining the adjacent compartment permeability correction coefficient is as follows: The opening and closing probability is calculated based on the percentage of time each independent room's interior door is open during the average daily time. The overall penetration rate of each room is calculated based on the opening and closing probability and the number of connected neighboring rooms. The neighboring room penetration correction coefficient is the sum of 1 and the overall penetration rate. For rooms where the interior door is usually closed, the overall penetration rate is 0, and the neighboring room penetration correction coefficient is 1.

0.

9. The method for pre-calculation of indoor multi-source pollutants and design of a healthy environment according to claim 1, characterized in that, The ventilation assurance factor used to determine the dynamic safety factor in step S4 and the permeation parameter used to correct for permeation in adjacent rooms in step S5 are assigned independent values ​​respectively: The ventilation assurance factor is determined based on the air exchange capacity between each room and the outside, and is used to calculate the baseline predicted concentration; the infiltration parameter is determined based on the air exchange capacity between each room and adjacent indoor rooms, and is used to adjust the operating conditions of the baseline predicted concentration; the two work together in sequence to obtain the final predicted concentration.

10. The method for pre-calculation of indoor multi-source pollutants and design of a healthy environment according to claim 1, characterized in that, The method for calculating the contribution ratio in step S6 is as follows: The contribution of continuous release sources in the area, the contribution of release sources in the point gaps, and the contribution of adsorption-re-release sources in the fabric are calculated separately. The contribution ratio of a single type of pollution source is the proportion of the release amount of that type of pollution source to the total release amount of pollutants in the room. The pollution sources with the highest contribution are sorted from largest to smallest, and the specific materials corresponding to them are identified. A quantitative optimization scheme is generated to replace the corresponding materials with materials with low release rate or reduce their usage.

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