Intelligent ventilation method, system and storage medium for underground sewage treatment plant

Abstract

The present invention relates to an intelligent ventilation method, system, and storage medium for an underground sewage treatment plant, wherein personnel presence data in a production area of ​​the underground sewage treatment plant is obtained; when the personnel presence data indicates that there are people present, full mechanical ventilation is determined to be the ventilation method; conversely, the average concentration of pollutants in the underground sewage treatment plant is detected, and the ventilation method is determined to be natural ventilation, local ventilation, or full mechanical ventilation; wherein, the average concentration of pollutants is detected using Parkingham's theorem for dimensional analysis, a dimensionless correlation formula for the average concentration of pollutants is constructed, and the average concentration of pollutants is determined. The dimensional analysis based on Parkingham's theorem is used to determine the average concentration of pollutants, effectively achieving accurate acquisition of the average concentration of pollutants, laying the foundation for subsequent adjustment of the ventilation method. Adjusting the ventilation method effectively improves the ventilation effect and reduces the power loss during the ventilation process, effectively solving the problems of poor ventilation effect and power waste caused by excessive ventilation.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent ventilation, and in particular to an intelligent ventilation method, system and storage medium for an underground sewage treatment plant. Background Art

[0002] With urban development, land resources are becoming increasingly scarce, and sewage treatment volumes are increasing. Underground sewage treatment plants are becoming a new trend in sewage treatment plant design. Unlike traditional open-air sewage treatment plants, underground sewage treatment plants meet sewage treatment needs by constructing the plant structure and installing related equipment underground. The plant is then covered, and the upper ground can be developed into commercial buildings, grassland parks, and other land uses to meet land use requirements.

[0003] In underground sewage treatment plants, ventilation and deodorization systems are particularly important due to the odor generated by sewage treatment. Consequently, ventilation energy consumption accounts for a significant proportion of the plant's total energy consumption. The effectiveness of ventilation and deodorization is influenced by the synergistic effects of technical parameters such as the layout of odor sources, ventilation rate, air supply method, and ionized air volume.

[0004] In the related art, the ventilation system in the underground sewage treatment plant only considers the influence of a single parameter to determine the ventilation mode, which may lead to poor ventilation effect and excessive ventilation resulting in waste of electricity.

[0005] The above problems need to be solved urgently. Summary of the Invention

[0006] The present invention discloses an intelligent ventilation method, system and storage medium for an underground sewage treatment plant, aiming to solve the technical problems existing in the prior art.

[0007] The present invention adopts the following technical solutions:

[0008] On the one hand, the present invention provides an intelligent ventilation method for an underground sewage treatment plant, which includes: obtaining personnel presence data in a production area within the underground sewage treatment plant; when the personnel presence data indicates that there are people, determining that full mechanical ventilation is adopted as the ventilation method; when the personnel presence data indicates that there are no people, detecting the average concentration of pollutants in the underground sewage treatment plant, and determining that natural ventilation, local ventilation or full mechanical ventilation is adopted as the ventilation method; wherein, the average concentration of pollutants is detected using Parkingham's theorem for dimensional analysis, constructing a dimensionless correlation formula for the average concentration of pollutants, and determining the average concentration of pollutants.

[0009] Optionally, when the personnel presence data shows that there is no one, the average concentration of pollutants in the underground sewage treatment plant is detected, and the ventilation method is determined to be natural ventilation, local ventilation or full mechanical ventilation, including: determining the target pollutant generation rate in the underground sewage treatment plant; determining the target space size in the underground sewage treatment plant; determining the target pollutant diffusion coefficient in the underground sewage treatment plant; determining the target ventilation volume in the underground sewage treatment plant; based on the target ventilation volume, the target space size, the target pollutant generation rate and the target pollutant diffusion coefficient, using Parkingham's theorem to perform dimensional analysis, constructing a dimensionless correlation expression for the average pollutant concentration, and determining the average pollutant concentration; based on the average pollutant concentration, determining the ventilation method to be natural ventilation, local ventilation or full mechanical ventilation.

[0010] Optionally, determining the target pollutant production rate in the buried sewage treatment plant includes: determining the chemical oxygen demand treatment capacity of the buried sewage treatment plant; determining the biochemical oxygen demand treatment capacity of the buried sewage treatment plant; determining the suspended solids treatment capacity of the buried sewage treatment plant; determining the influent pollution concentration of the buried sewage treatment plant; and determining the target pollutant production rate based on the influent pollution concentration, chemical oxygen demand treatment capacity, biochemical oxygen demand treatment capacity and suspended solids treatment capacity.

[0011] Optionally, determining the target spatial size within the underground sewage treatment plant includes: obtaining a first spatial size corresponding to the inspection channel in the underground sewage treatment plant; obtaining a second spatial size corresponding to the underground spatial channel in the underground sewage treatment plant; obtaining a third spatial size corresponding to the production area in the underground sewage treatment plant; determining the spatial weight ratio of the inspection channel, the underground spatial channel and the production area; and determining the target spatial size based on the first spatial size, the second spatial size, the third spatial size and the spatial weight ratio.

[0012] Optionally, determining the diffusion coefficient of target pollutants in the underground sewage treatment plant includes: obtaining the temperature in the underground sewage treatment plant during the current period; determining the diffusion coefficient of air molecules based on the temperature; obtaining the water flow velocity in the pipeline of the underground sewage treatment plant during the current period; determining the hydraulic diffusion coefficient based on the water flow velocity in the pipeline; and determining the diffusion coefficient of target pollutants in the underground sewage treatment plant based on the air molecular diffusion coefficient and the hydraulic diffusion coefficient.

[0013] Optionally, based on the target ventilation volume, the target space size, the target pollutant generation rate and the target pollutant diffusion coefficient, dimensional analysis is performed using Parkingham's theorem to construct a dimensionless correlation formula for the average pollutant concentration, and determine the average pollutant concentration, including: determining a first dimensionless correlation formula between diffusion and ventilation volume based on the target ventilation volume, the target space size and the target pollutant diffusion coefficient; determining a second dimensionless correlation formula between time scale and ventilation volume based on the target space size, the target ventilation volume and ventilation duration; determining a third dimensionless correlation formula between pollutant concentration and ventilation volume based on the target pollutant generation rate, the target ventilation volume and the average pollutant concentration; and determining the average pollutant concentration based on the first dimensionless correlation formula, the second dimensionless correlation formula and the third dimensionless correlation formula.

[0014] Optionally, the ventilation mode is determined to be natural ventilation, local ventilation or full mechanical ventilation based on the average pollutant concentration, including: when the average pollutant concentration is lower than a first preset concentration, determining the ventilation mode to be natural ventilation; when the average pollutant concentration is not lower than the first preset concentration and is lower than a second preset concentration, determining the ventilation mode to be local ventilation; when the average pollutant concentration is not lower than the second preset concentration, determining the ventilation mode to be full mechanical ventilation, wherein the first preset concentration is lower than the second preset concentration.

[0015] According to another aspect of an embodiment of the present invention, an intelligent ventilation system for an underground sewage treatment plant is provided, comprising: an acquisition module for acquiring personnel presence data in a production area within the underground sewage treatment plant; a personnel presence module for determining that full mechanical ventilation is adopted as the ventilation method when the personnel presence data indicates that there is someone; an unmanned presence module for detecting the average concentration of pollutants in the underground sewage treatment plant when the personnel presence data indicates that there is no one, and determining that natural ventilation, local ventilation or full mechanical ventilation is adopted as the ventilation method; wherein, the average concentration of pollutants is detected by using Parkingham's theorem for dimensional analysis, a dimensionless correlation formula for the average concentration of pollutants is constructed, and the average concentration of pollutants is determined.

[0016] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is further provided, wherein the non-volatile storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor and executed by any one of the intelligent ventilation methods for underground sewage treatment plants.

[0017] According to another aspect of an embodiment of the present invention, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements any one of the steps of the intelligent ventilation method for an underground sewage treatment plant.

[0018] The technical solution adopted by the present invention can achieve at least one of the following beneficial effects:

[0019] In an embodiment of the present invention, by obtaining the personnel presence data in the production area of ​​the buried sewage treatment plant; when the personnel presence data indicates that there are people, determining that the ventilation method is full mechanical ventilation; when the personnel presence data indicates that there are no people, detecting the average concentration of pollutants in the buried sewage treatment plant, determining that the ventilation method is natural ventilation, local ventilation or full mechanical ventilation; wherein, the detection of the average concentration of pollutants uses Parkingham's theorem to perform dimensional analysis, constructing a dimensionless correlation formula for the average concentration of pollutants, and determining the average concentration of pollutants. Based on Parkingham's theorem, dimensional analysis is performed to determine the average concentration of pollutants, effectively achieving accurate acquisition of the average concentration of pollutants, laying the foundation for subsequent adjustment of the ventilation method, adjusting the ventilation method, effectively improving the ventilation effect, and reducing the power loss during the ventilation process, effectively solving the problem of poor ventilation effect and excessive ventilation causing power waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments, which constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are provided to explain the present invention and do not constitute an undue limitation of the present invention. In the drawings:

[0021] Figure 1 This is a flow chart of an intelligent ventilation method for an underground sewage treatment plant in Example 1 of the present invention;

[0022] Figure 2 This is a schematic diagram of the layout of the underground space ventilation system of the buried sewage treatment plant in Example 1 of the present invention;

[0023] Figure 3 This is a schematic diagram of the layout of the inspection channel ventilation system in Example 1 of the present invention;

[0024] Figure 4 This is a flow chart of ventilation mode selection in an unmanned state for an intelligent ventilation method for an underground sewage treatment plant in Example 1 of the present invention;

[0025] Figure 5 It is a structural diagram of an intelligent ventilation system for an underground sewage treatment plant in Example 2 of the present invention. DETAILED DESCRIPTION

[0026] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention and corresponding drawings. In the description of the present invention, it should be noted that the term "or" is generally used in the sense of including "and / or" unless the content clearly indicates otherwise.

[0027] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or a magnetic connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances. In addition, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three or more, etc., unless otherwise clearly specified and limited.

[0028] Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0029] First, to facilitate understanding of the embodiments of the present invention, some of the terms or nouns involved in the present invention are explained below:

[0030] A buried sewage treatment plant is a sewage treatment technology that buries the main structure of the sewage treatment facility underground or semi-underground. This utilizes underground space, reduces the surface area occupied, and lowers land costs. Furthermore, the buried equipment effectively minimizes the impact of noise on surrounding residents.

[0031] Dimension is a fundamental concept used in physics and engineering to describe the properties and characteristics of physical quantities. It represents the fundamental relationships between physical quantities and is the basis for their measurement and calculation. It shows how physical quantities are composed of basic dimensions (such as mass, length, and time).

[0032] In order to solve the problems existing in the prior art, the embodiments of the present application provide an intelligent ventilation method, system and storage medium for an underground sewage treatment plant.

[0033] Example 1

[0034] This embodiment provides an intelligent ventilation method for underground sewage treatment plants. Figure 1 As shown, Figure 1 This is a flow chart of an intelligent ventilation method for an underground sewage treatment plant in Example 1 of the present invention, the method comprising:

[0035] Step S102, obtaining personnel presence data in the production area of ​​the underground sewage treatment plant;

[0036] Alternatively, an underground sewage treatment plant is a sewage treatment plant located underground. The plant has a small space and poor ventilation. Ventilation in the underground sewage treatment plant relies on exhaust fans and natural ventilation at the connection to the ground. The underground sewage treatment plant includes an underground passageway connected to the ground for staff to enter, a production area (where staff work) where sewage treatment and usable water production are carried out, and an inspection passageway connecting the production area to the external environment.

[0037] Optionally, a large number of staff gather in the production area. When there is a need for ventilation inspection or production inspection, they may enter the inspection channel. When the staff enter and exit the production area, they will be temporarily in the underground space channel. The specific layout is as follows: Figure 2 as well as Figure 3 ,in, Figure 2 This is a schematic diagram of the layout of the underground space ventilation system of the buried sewage treatment plant in Example 1 of the present invention; Figure 3 It is a schematic diagram of the layout of the inspection channel ventilation system in Example 1 of the present invention.

[0038] Optionally, an electric door is set up in the production area. After the personnel enter, the electric door will record the personnel entry and exit status, and simultaneously record the personnel presence data in the production area. When the personnel entry data is greater than the personnel exit data, it means that the personnel presence data in the production area is that there is someone; otherwise, there is no one.

[0039] It should be noted that the electric doors in the production area require staff to enter one by one, and enter in sequence through work number identification. The door cannot be opened at one time to allow multiple people to enter.

[0040] Step S104: if the personnel presence data indicates that there is someone, determine that the ventilation mode is full mechanical ventilation;

[0041] Optionally, since most of the staff are concentrated in the production area and the production area is not directly connected to the external environment, ventilation can only be based on mechanical ventilation. When there are staff working in the production area, comprehensive mechanical ventilation must be used at all times to effectively ensure the safety of the staff in the production area and avoid situations where poor ventilation may affect the safety of the staff.

[0042] Optional mechanical ventilation consists of exhaust fans and fresh air fans. Keeping the mechanical ventilation system on ensures air circulation within the production area, preventing hazards to workers. Comprehensive mechanical ventilation involves fully opening the mechanical exhaust fans in the production area and in the inspection corridors connecting the production area to the outside environment, effectively ensuring maximum air circulation in the production area and ensuring worker safety.

[0043] Step S106, when the personnel presence data indicates that there is no one, detect the average concentration of pollutants in the underground sewage treatment plant and determine whether the ventilation method is natural ventilation, local ventilation, or full mechanical ventilation; wherein, the average concentration of pollutants is detected using Parkingham's theorem for dimensional analysis, constructing a dimensionless correlation formula for the average concentration of pollutants, and determining the average concentration of pollutants.

[0044] Optionally, if the personnel presence data indicates that there is no one present, ventilation does not need to be maintained at all times. It is sufficient to ensure that the air in the underground sewage treatment plant is in a circulating state and that the pollutant concentration is below the safety standard value. To reduce ventilation energy consumption, an intelligent switching ventilation method is used to reduce ventilation energy consumption. Specifically, the average pollutant concentration is dimensionally analyzed using the Parkingham theorem, achieving a comprehensive consideration of the average pollutant concentration. By combining various data related to the average pollutant concentration, the average pollutant concentration is accurately calculated, effectively determining the ventilation method based on the average pollutant concentration.

[0045] Optionally, dimensional analysis based on Parkinson's theorem is performed to determine the average concentration of pollutants, effectively achieving accurate acquisition of the average concentration of pollutants, and laying the foundation for subsequent adjustment of the ventilation mode. Adjusting the ventilation mode can effectively improve the ventilation effect and reduce the energy loss during the ventilation process, effectively solving the problem of poor ventilation effect and excessive ventilation causing energy waste.

[0046] In some preferred embodiments, when the personnel presence data shows that there is no one, the average concentration of pollutants in the underground sewage treatment plant is detected, and the ventilation method is determined to be natural ventilation, local ventilation or full mechanical ventilation, including: determining the target pollutant generation rate in the underground sewage treatment plant; determining the target space size in the underground sewage treatment plant; determining the target pollutant diffusion coefficient in the underground sewage treatment plant; determining the target ventilation volume in the underground sewage treatment plant; based on the target ventilation volume, target space size, target pollutant generation rate and target pollutant diffusion coefficient, using Parkingham's theorem for dimensional analysis, constructing a dimensionless correlation formula for the average pollutant concentration, and determining the average pollutant concentration; based on the average pollutant concentration, determining the ventilation method to be natural ventilation, local ventilation or full mechanical ventilation.

[0047] Reference Figure 4 , Figure 4This is a flow chart for selecting a ventilation mode in an unmanned state for an intelligent ventilation method for an underground sewage treatment plant in Example 1 of the present invention. Optionally, the average concentration of pollutants may be related to the generation rate of pollutants. The faster the generation rate of pollutants, the higher the average concentration of pollutants. Therefore, when calculating the average concentration of pollutants, the generation rate of pollutants needs to be considered. The average concentration of pollutants may also be related to the spatial size of the underground sewage treatment plant. The smaller the spatial size, the higher the average concentration of pollutants. Therefore, when calculating the average concentration of pollutants, the spatial size needs to be considered. The average concentration of pollutants may also be related to the diffusion coefficient of the target pollutant. The larger the diffusion coefficient, the lower the average concentration of the pollutant. Therefore, when calculating the average concentration of pollutants, the diffusion coefficient of the pollutant needs to be considered; the average concentration of pollutants may also be related to the ventilation volume. The larger the ventilation volume, the lower the average concentration of pollutants. Therefore, when calculating the average concentration of pollutants, the ventilation volume also needs to be considered. Taking the above comprehensive factors into consideration, the calculation of the average concentration of pollutants is more accurate and the ventilation mode is determined effectively.

[0048] Optional ventilation methods include natural ventilation, local ventilation and comprehensive mechanical ventilation. Natural ventilation means that no external force is applied, and natural wind blows in through underground space passages or other locations directly connected to the outside world to achieve a state of ventilation. This method is only applicable when the average concentration of pollutants is low. In order to save electricity, the mechanical facilities in the ventilation system are turned off to effectively reduce the loss of electricity. Local ventilation means turning on the ventilation system in the production area and not turning on the ventilation system in other areas, effectively ensuring that the air safety index in the production area is improved, and reducing safety hazards when the staff re-enters the production area. This method only consumes part of the electricity and effectively saves electricity. Comprehensive mechanical ventilation is to turn on all ventilation systems in the buried sewage treatment plant, effectively ensuring overall ventilation and reducing the average concentration of pollutants. It is used when the average concentration of pollutants is too high to avoid safety hazards after the staff re-enters.

[0049] In some preferred embodiments, determining the target pollutant production rate in the underground sewage treatment plant includes: determining the chemical oxygen demand treatment capacity of the underground sewage treatment plant; determining the biochemical oxygen demand treatment capacity of the underground sewage treatment plant; determining the suspended solids treatment capacity of the underground sewage treatment plant; determining the influent pollution concentration of the underground sewage treatment plant; and determining the target pollutant production rate based on the influent pollution concentration, the chemical oxygen demand treatment capacity, the biochemical oxygen demand treatment capacity, and the suspended solids treatment capacity.

[0050] Optionally, the daily sewage treatment capacity of underground sewage treatment plants is normally more than 100,000 cubic meters, and the treatment scale is large. The more total sewage entering the sewage treatment plant per unit time, the faster the pollutant production rate.

[0051] Optionally, after sewage enters an underground sewage treatment plant, it needs to undergo chemical treatment, biochemical treatment, and suspended solids treatment in order to reduce pollutants in the sewage and achieve water purification. During the chemical treatment process, the chemical oxygen demand (COD) needs to be determined, as COD directly affects the rate of pollutant generation during the chemical treatment process. Similarly, during the biochemical treatment process, the biochemical oxygen demand (BOD) needs to be determined, as BOD directly affects the rate of pollutant generation during the biochemical treatment process.

[0052] Optional, 500,000 m 3 Taking the influent water quality of the / d underground integrated sewage treatment equipment as an example, the biochemical oxygen demand (BOD) reaches 1 to 1.5 million mg / L, the chemical oxygen demand (COD) reaches 2 to 4 million mg / L, and the suspended solids treatment capacity (SS) reaches 1.5 to 2 million mg / L. The higher the influent pollutant concentration, the greater the amount of pollutants carried by unit volume of sewage, resulting in an increase in the total amount of pollutants in the sewage treatment plant.

[0053] Alternatively, the pollutant generation rate (R, unit: kg / d) in a single process can be calculated using the following formula:

[0054] R=Q×C

[0055] Where: Q is the daily sewage treatment capacity of the underground sewage treatment plant (m 3 / d), C is the influent pollutant concentration (kg / m 3 or g / L).

[0056] For example, the daily sewage treatment capacity of an underground sewage treatment plant is 500,000 m3 3 (i.e. 500,000m 3 / d), the influent concentration is 200mg / L (i.e. 0.2kg / m 3 ),but:

[0057] R COD =500,000m 3 / d×0.2kg / m 3 =100,000kg / d

[0058] By analogy, we can obtain the pollutant generation rate of the biochemical treatment process and the pollutant generation rate of the suspended solids treatment process. By adding up multiple generation rates, we can obtain the target pollutant generation rate. Specifically:

[0059] R 目标 =R COD +R BOD +R SS

[0060] Optionally, when the sewage treatment process also involves ammonia nitrogen treatment (NH3-N), total phosphorus treatment (TP) and other processes, the pollutant generation rate in the above process can be compared with R COD +R BOD +R SS Add them together to get the final target pollutant generation rate.

[0061] In some preferred embodiments, determining the target spatial size within the underground sewage treatment plant includes: obtaining a first spatial size corresponding to an inspection channel in the underground sewage treatment plant; obtaining a second spatial size corresponding to an underground spatial channel in the underground sewage treatment plant; obtaining a third spatial size corresponding to a production area in the underground sewage treatment plant; determining a spatial weight ratio of the inspection channel, the underground spatial channel, and the production area; and determining the target spatial size based on the first spatial size, the second spatial size, the third spatial size, and the spatial weight ratio.

[0062] Optionally, when considering the space size, since different locations are at different distances from the external environment and have different ventilation effects, it is necessary to comprehensively consider the space size and the distance from the external environment to determine the target space size and effectively achieve the accuracy of the average pollutant concentration calculation.

[0063] Optionally, the spatial weight ratio of the inspection passage, underground space passage, and production area is determined to be 3.08:1.52:5.4. This spatial weight ratio is obtained through multiple experiments, and the data is shown in Table 1 below:

[0064] Table 1 shows the relationship between spatial weight ratio and average pollutant concentration impact ratio

[0065] Spatial weight ratio (inspection channel: underground space channel: production area) Average pollutant concentration impact ratio 2.12:1.56:6.32 medium 3.08:1.52:5.4 high 3.58:1.54:4.88 medium 4.37:2.0:3.63 Low

[0066] Optionally, the target space size is determined based on the first space size, the second space size, the third space size, and the space weight ratio. The specific calculation is as follows:

[0067] W=3.08×W1+1.52×W2+5.4×W3

[0068] Wherein, W is the target space size, W1 is the first space size, W2 is the second space size, and W3 is the third space size.

[0069] In some preferred embodiments, determining the diffusion coefficient of target pollutants in the underground sewage treatment plant includes: obtaining the temperature in the underground sewage treatment plant during the current period; determining the diffusion coefficient of air molecules based on the temperature; obtaining the water flow velocity in the pipeline of the underground sewage treatment plant during the current period; determining the hydraulic diffusion coefficient based on the water flow velocity in the pipeline; and determining the diffusion coefficient of target pollutants in the underground sewage treatment plant based on the air diffusion coefficient and the hydraulic diffusion coefficient.

[0070] Optionally, the air molecular diffusion coefficient is generated when pollutant molecules enter the air and move in the air. The speed of pollutant molecules moving in the air is related to the temperature. The higher the temperature, the higher the air molecular diffusion coefficient. The specific relationship is as follows:

[0071] D d ={T, F1}

[0072] Among them, D d is the diffusion coefficient of air molecules, T is the temperature, and F1 is the diffusion force of molecules in the air.

[0073] Optionally, the hydraulic diffusion coefficient is the movement speed of pollutant molecules in sewage. The movement speed is related to the flow velocity of the water flow. The higher the flow velocity, the higher the hydraulic diffusion coefficient. The specific relationship is as follows:

[0074] D h ={V, F2}

[0075] Among them, D h is the hydraulic diffusion coefficient, V is the water flow velocity, and F2 is the diffusion force of molecules in water.

[0076] Alternatively, the diffusion coefficient of the target pollutant (D) can be expressed as the diffusion coefficient of air molecules (D d ) and hydraulic diffusion coefficient (D h ) and:

[0077] D=D d +D h

[0078] It should be noted that the air temperature can be measured by a temperature sensor, and the water flow rate can be obtained by a flow rate sensor.

[0079] In some preferred embodiments, based on the target ventilation volume, target space size, target pollutant generation rate and target pollutant diffusion coefficient, dimensional analysis is performed using Parkingham's theorem to construct a dimensionless correlation formula for the average pollutant concentration, and determine the average pollutant concentration, including: determining a first dimensionless correlation formula between diffusion and ventilation volume based on the target ventilation volume, target space size and target pollutant diffusion coefficient; determining a second dimensionless correlation formula between time scale and ventilation volume based on the target space size, target ventilation volume and ventilation duration; determining a third dimensionless correlation formula between pollutant concentration and ventilation volume based on the target pollutant generation rate, target ventilation volume and average pollutant concentration; and determining the average pollutant concentration based on the first dimensionless correlation formula, the second dimensionless correlation formula and the third dimensionless correlation formula.

[0080] Optionally, the physical quantities and their dimensions that affect the average concentration of pollutants in underground sewage treatment plants are as follows:

[0081] The details are as follows:

[0082] Table 2 is a comparison table of physical quantities and their dimensional relationships that affect the average concentration of pollutants in underground sewage treatment plants

[0083]

[0084]

[0085] Optionally, Buckingham π theorem converts dimensionless proportional relationships into dimensional forms. First, a dimensionless correlation is constructed, and then the dimensionless correlation is converted into a dimensional correlation. This effectively reduces the calculation data, improves calculation efficiency, and can integrate multiple related parameters together. Taking multiple aspects into consideration, it effectively improves the accuracy of the average concentration of pollutants.

[0086] It should be noted that dimensions are used to describe the properties and characteristics of physical quantities. They represent the basic relationships between physical quantities. M, L, and T are abbreviations for the three basic dimensions. M (Mass) is mass, which is a measure of the inertia of an object, that is, the degree to which an object resists acceleration. The international unit of mass is the kilogram (kg). L (Length) is length, which is a measure of the spatial size of an object, that is, the measurement of the spatial range occupied by an object. The international unit of length is the meter (m). T (Time) is time, which is a measure of the order and interval of events, that is, a physical quantity that describes the duration and order of events. The international unit of time is the second (s).

[0087] Based on the target ventilation rate, target space size, and target pollutant diffusion coefficient, the first dimensionless relationship between diffusion and ventilation rate is determined and calculated as follows:

[0088] π1=kV / Q

[0089] Among them, π1 is the first dimensionless quantity, k is the diffusion coefficient of the target pollutant, V is the target space size, and Q is the target ventilation volume.

[0090] Convert the first dimensionless correlation into a dimensional correlation:

[0091] L 2 T -1 / (L 3 T -1 / L 3 )=L 2 T -1 / T -1 =L 2

[0092] Based on the target space size, target ventilation volume, and ventilation duration, the second dimensionless relationship between time scale and ventilation volume is determined and calculated as follows:

[0093] π2=tQ / V

[0094] Among them, π2 is the second dimensionless quantity, t is time, Q is the target ventilation volume, and V is the target space size.

[0095] Convert the second dimensionless correlation into a dimensional correlation:

[0096] T / (L 3 / L 3 T -1 )=T / T -1 =T 2

[0097] Based on the target pollutant generation rate, target ventilation volume, and average pollutant concentration, the third dimensionless relationship between pollutant concentration and ventilation volume is determined and calculated as follows:

[0098] π3=CQ / S

[0099] Among them, π3 is the third dimensionless quantity, C is the average concentration of pollutants, Q is the target ventilation volume, and S is the target pollutant generation rate.

[0100] Convert the third dimensionless correlation into a dimensional correlation:

[0101] ML -3 / (MT -1 / L 3 T -1 )=ML -3 / (ML 3 T -2 )=T 2

[0102] Finally, based on the dimensional correlation reduction and simplification, the dimensional ML corresponding to the average concentration C of the pollutant is obtained -3 , determine the dimension ML -3 The corresponding numerical values ​​are then converted into dimensionless physical quantities, namely the average concentration of pollutants. By replacing multiple physical quantities with three-dimensional basic physical quantities, the difficulty of calculation is effectively reduced, the efficiency of calculation is improved, and the accuracy of the calculation results is improved, so that the accurate average concentration of pollutants can be effectively obtained, thereby determining the final ventilation method and reducing energy consumption.

[0103] Optionally, in the process of determining the average concentration of pollutants, it is more complicated to obtain the target ventilation volume, and the target ventilation volume detected and calculated often deviates from the actual target ventilation volume. Therefore, the target ventilation volume is used as a variable and multiple dimensionless correlations are used to jointly calculate to obtain the accurate target ventilation volume.

[0104] In addition, in the actual calculation process, a rough calculation can be performed by obtaining some ventilation volume values, and the roughly calculated ventilation volume values ​​can be compared with the target ventilation volume obtained in the dimensionless correlation formula. When the deviation exceeds a certain deviation, it means that there is an error in the target ventilation volume obtained in the dimensionless correlation formula, which may lead to errors in the average concentration of pollutants. At this time, the data in this time period needs to be deleted and not used as a reference, that is, the average concentration of pollutants in this time period cannot be used.

[0105] Alternatively, a rough calculation of the ventilation rate can be done as follows:

[0106] The first speed of the electric blinds in the inspection channel; based on the first speed, determine the first ventilation volume in the inspection channel; determine the power of the fresh air system in the underground space channel; based on the power of the fresh air system, determine the second ventilation volume of the underground space channel; determine the second speed of the exhaust fan in the production area; based on the second speed, determine the third ventilation volume of the production area; determine the ventilation weight ratio of the inspection channel, the underground space channel and the production area; determine the ventilation volume value based on the first ventilation volume, the second ventilation volume, the third ventilation volume and the ventilation weight ratio.

[0107] It should be noted that the rough calculation of the ventilation volume value is to verify whether the target ventilation volume is accurate, that is, to verify the average concentration of pollutants. If the computing power is sufficient and the pre-data acquisition is completely accurate, the verification step can be simplified.

[0108] In some preferred embodiments, the ventilation mode is determined to be natural ventilation, local ventilation or full mechanical ventilation based on the average concentration of pollutants, including: when the average concentration of pollutants is lower than a first preset concentration, the ventilation mode is determined to be natural ventilation; when the average concentration of pollutants is not lower than the first preset concentration and is lower than a second preset concentration, the ventilation mode is determined to be local ventilation; when the average concentration of pollutants is not lower than the second preset concentration, the ventilation mode is determined to be full mechanical ventilation, wherein the first preset concentration is lower than the second preset concentration.

[0109] Alternatively, if the average pollutant concentration is low, indicating that the pollutant concentration in the underground sewage treatment plant is low and there are no safety hazards, the ventilation system can be shut down to save energy, effectively reducing energy consumption. By calculating the average pollutant concentration and determining the ventilation method, the ventilation effect is effectively improved while reducing energy consumption losses, solving the problem of poor ventilation effect and excessive ventilation that wastes electricity.

[0110] Through the above steps S102 to S106, dimensional analysis is performed based on Parkinson's theorem to determine the average concentration of pollutants, effectively achieving accurate acquisition of the average concentration of pollutants, and laying a foundation for subsequent adjustment of the ventilation mode. Adjusting the ventilation mode effectively improves the ventilation effect and reduces the power loss during the ventilation process, effectively solving the problem of poor ventilation effect and excessive ventilation causing waste of power.

[0111] Example 2

[0112] According to an embodiment of the present invention, a system embodiment for implementing the above-mentioned intelligent ventilation method for an underground sewage treatment plant is also provided. Figure 5 This is a structural diagram of an intelligent ventilation system for an underground sewage treatment plant in Example 2 of the present invention. Figure 5 As shown, the above-mentioned intelligent ventilation system for underground sewage treatment plants includes: an acquisition module 201, a personnel presence module 202, and an unmanned presence module 203, wherein:

[0113] An acquisition module 201 is used to obtain personnel presence data in the production area of ​​the underground sewage treatment plant;

[0114] The personnel presence module 202 is connected to the acquisition module 201 and is used to determine that the ventilation method is full mechanical ventilation when the personnel presence data indicates that there is someone;

[0115] The no-person presence module 203 is connected to the human presence module 202 and is used to detect the average concentration of pollutants in the underground sewage treatment plant when the human presence data indicates that there is no person, and to determine whether the ventilation method is natural ventilation, local ventilation, or full mechanical ventilation; wherein, the average concentration of pollutants is detected using the Parkingham theorem for dimensional analysis, and a dimensionless correlation formula for the average concentration of pollutants is constructed to determine the average concentration of pollutants.

[0116] It should be noted that the above modules can be implemented by software or hardware. For example, for the latter, it can be implemented in the following ways: the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0117] It should be noted that the acquisition module 201, the person presence module 202, and the non-person presence module 203 correspond to steps S102 to S106 in the embodiment. The examples and application scenarios implemented by these modules and the corresponding steps are the same, but are not limited to the contents disclosed in the above embodiment. It should be noted that the above modules, as part of the device, can be run on a computer terminal.

[0118] It should be noted that the optional or preferred implementation of this embodiment can be found in the relevant description in the embodiment, which will not be repeated here.

[0119] The above-mentioned intelligent ventilation system for an underground sewage treatment plant may also include a processor and a memory. The above-mentioned acquisition module 201, personnel presence module 202, no-person presence module 203, etc. are all stored in the memory as program modules, and the processor executes the above-mentioned program modules stored in the memory to realize the corresponding functions.

[0120] The processor includes a core, which retrieves corresponding program modules from memory. There can be one or more cores. Memory may include non-permanent memory in a computer-readable medium, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory includes at least one memory chip.

[0121] According to an embodiment of the present application, an embodiment of a non-volatile storage medium is also provided. Optionally, in this embodiment, the non-volatile storage medium includes a stored program, wherein, when the program is executed, the device containing the non-volatile storage medium is controlled to execute any of the above-mentioned intelligent ventilation methods for underground sewage treatment plants.

[0122] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group, and the non-volatile storage medium includes a stored program.

[0123] Optionally, when the program is running, the device where the non-volatile storage medium is located is controlled to perform the following functions: obtaining personnel presence data in the production area of ​​the underground sewage treatment plant; when the personnel presence data indicates that there are people, determining that the ventilation method is full mechanical ventilation; when the personnel presence data indicates that there are no people, detecting the average concentration of pollutants in the underground sewage treatment plant, and determining that the ventilation method is natural ventilation, local ventilation, or full mechanical ventilation; wherein, the average concentration of pollutants is detected using Parkingham's theorem for dimensional analysis, constructing a dimensionless correlation formula for the average concentration of pollutants, and determining the average concentration of pollutants.

[0124] According to an embodiment of the present application, an embodiment of a processor is further provided. Optionally, in this embodiment, the processor is used to run a program, wherein when the program is run, any of the above-mentioned intelligent ventilation methods for underground sewage treatment plants is executed.

[0125] According to an embodiment of the present application, an embodiment of a computer program product is also provided. Optionally, in this embodiment, the computer program product includes a computer program that, when executed by a processor, implements any of the steps of the above-mentioned intelligent ventilation method for an underground sewage treatment plant.

[0126] Optionally, the above-mentioned computer program product, when executed on a data processing device, is suitable for executing an initialization program having the following method steps: obtaining personnel presence data in the production area of ​​the underground sewage treatment plant; when the personnel presence data indicates that there are people, determining that the ventilation method is full mechanical ventilation; when the personnel presence data indicates that there are no people, detecting the average concentration of pollutants in the underground sewage treatment plant, and determining that the ventilation method is natural ventilation, local ventilation or full mechanical ventilation; wherein, the average concentration of pollutants is detected using Parkingham's theorem for dimensional analysis, constructing a dimensionless correlation formula for the average concentration of pollutants, and determining the average concentration of pollutants.

[0127] An embodiment of the present invention provides an electronic device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, the following steps are implemented: obtaining personnel presence data in a production area of ​​an underground sewage treatment plant; when the personnel presence data indicates that there are people present, determining that full mechanical ventilation is used as the ventilation method; when the personnel presence data indicates that there are no people present, detecting the average concentration of pollutants in the underground sewage treatment plant, and determining that natural ventilation, local ventilation, or full mechanical ventilation is used as the ventilation method; wherein, the average concentration of pollutants is detected using Parkingham's theorem for dimensional analysis, constructing a dimensionless correlation formula for the average concentration of pollutants, and determining the average concentration of pollutants.

[0128] The above sequence of the embodiments of the present invention is for description only and does not represent the superiority or inferiority of the embodiments.

[0129] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0130] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the above modules can be a logical function division. In actual implementation, there may be other division methods, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, modules or indirect coupling or communication connection of modules, which can be electrical or other forms.

[0131] The modules described above as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0132] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing module, or each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or software functional modules.

[0133] If the above-mentioned integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable non-volatile storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a non-volatile storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present invention. The aforementioned non-volatile storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, and other media that can store program codes.

[0134] The above are only preferred embodiments of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An intelligent ventilation method for an underground sewage treatment plant, characterized in that: include: Obtaining data on the presence of people in the production area of ​​an underground sewage treatment plant; When the personnel presence data indicates that there are people present, the ventilation method is determined to be full mechanical ventilation; When the personnel presence data indicates that there is no one, detecting the average concentration of pollutants in the underground sewage treatment plant, and determining whether the ventilation method is natural ventilation, local ventilation, or full mechanical ventilation; Wherein, when the personnel presence data indicates that there is no one, detecting the average concentration of pollutants in the buried sewage treatment plant and determining whether the ventilation method is natural ventilation, local ventilation or full mechanical ventilation include: determining a target pollutant generation rate within the buried sewage treatment plant; Determining target space dimensions within the underground sewage treatment plant; determining a diffusion coefficient of a target pollutant within the buried sewage treatment plant; determining a target ventilation rate within the underground sewage treatment plant; Based on the target ventilation volume, the target space size, the target pollutant generation rate, and the target pollutant diffusion coefficient, a dimensional analysis is performed using Parkingham's theorem to construct a dimensionless correlation formula for the average pollutant concentration to determine the average pollutant concentration; Based on the average concentration of the pollutants, determining whether the ventilation method is natural ventilation, local ventilation or full mechanical ventilation; The average concentration of the pollutants is detected by performing dimensional analysis using Parkinson's theorem, constructing a dimensionless correlation equation for the average concentration of the pollutants, and determining the average concentration of the pollutants.

2. The intelligent ventilation method for an underground sewage treatment plant according to claim 1, characterized in that: Determining the target pollutant generation rate in the buried sewage treatment plant includes: Determining the chemical oxygen demand treatment capacity of the buried sewage treatment plant; Determining the biochemical oxygen demand treatment capacity of the buried sewage treatment plant; Determining the suspended solids treatment capacity of the buried sewage treatment plant; Determining the influent pollution concentration of the buried sewage treatment plant; The target pollutant production rate is determined based on the influent pollution concentration, the chemical oxygen demand treatment capacity, the biochemical oxygen demand treatment capacity, and the suspended solids treatment capacity.

3. The intelligent ventilation method for an underground sewage treatment plant according to claim 1, characterized in that: Determining the target space size within the buried sewage treatment plant includes: Obtaining a first spatial dimension corresponding to an inspection channel in the underground sewage treatment plant; Obtaining a second spatial dimension corresponding to the underground spatial channel in the buried sewage treatment plant; Obtaining a third spatial dimension corresponding to the production area in the underground sewage treatment plant; Determining a spatial weight ratio of the inspection passage, the underground space passage, and the production area; The target space size is determined based on the first space size, the second space size, the third space size, and the space weight ratio.

4. The intelligent ventilation method for an underground sewage treatment plant according to claim 1, characterized in that: Determining the diffusion coefficient of the target pollutant in the buried sewage treatment plant includes: Obtain the temperature inside the underground sewage treatment plant during the current period; determining a diffusion coefficient of air molecules based on the temperature; Obtain the water flow velocity in the pipeline of the buried sewage treatment plant in the current period; Determining a hydraulic diffusion coefficient based on a water flow velocity in the pipeline; Based on the air molecular diffusion coefficient and the hydraulic diffusion coefficient, the diffusion coefficient of the target pollutant in the buried sewage treatment plant is determined.

5. The intelligent ventilation method for underground sewage treatment plants according to claim 1, characterized in that: Based on the target ventilation volume, the target space size, the target pollutant generation rate, and the target pollutant diffusion coefficient, a dimensional analysis is performed using Parkingham's theorem to construct a dimensionless correlation formula for the average pollutant concentration, thereby determining the average pollutant concentration, including: Determining a first dimensionless correlation between diffusion and ventilation volume based on the target ventilation volume, the target space size, and the target pollutant diffusion coefficient; Determining a second dimensionless correlation between time scale and ventilation volume based on the target space size, the target ventilation volume, and the ventilation duration; Determining a third dimensionless correlation between pollutant concentration and ventilation volume based on the target pollutant generation rate, the target ventilation volume, and the average pollutant concentration; The average pollutant concentration is determined based on the first dimensionless correlation formula, the second dimensionless correlation formula, and the third dimensionless correlation formula.

6. The intelligent ventilation method for underground sewage treatment plants according to claim 5, characterized in that: The determining, based on the average concentration of pollutants, that the ventilation mode is natural ventilation, local ventilation, or full mechanical ventilation includes: When the average concentration of pollutants is lower than a first preset concentration, determining that the ventilation mode is natural ventilation; When the average concentration of the pollutants is not lower than the first preset concentration and lower than the second preset concentration, determining that the ventilation mode is local ventilation; When the average concentration of the pollutants is not lower than the second preset concentration, the ventilation mode is determined to be full mechanical ventilation, wherein the first preset concentration is lower than the second preset concentration.

7. An intelligent ventilation system for an underground sewage treatment plant, characterized in that: include: An acquisition module is used to obtain the presence data of people in the production area of ​​the underground sewage treatment plant; A personnel presence module, configured to determine that full mechanical ventilation is adopted as the ventilation mode when the personnel presence data indicates that there is someone present; An unmanned presence module is used to detect the average concentration of pollutants in the underground sewage treatment plant when the human presence data indicates that there is no one, and to determine whether the ventilation method is natural ventilation, local ventilation, or full mechanical ventilation; The unmanned module includes: determining the target pollutant generation rate in the underground sewage treatment plant; determining the target space size in the underground sewage treatment plant; determining the target pollutant diffusion coefficient in the underground sewage treatment plant; determining the target ventilation volume in the underground sewage treatment plant; based on the target ventilation volume, the target space size, the target pollutant generation rate and the target pollutant diffusion coefficient, using Parkingham's theorem to perform dimensional analysis, construct a dimensionless correlation formula for the average concentration of the pollutants, and determine the average concentration of the pollutants; based on the average concentration of the pollutants, determining whether the ventilation method is natural ventilation, local ventilation or full mechanical ventilation; The average concentration of the pollutants is detected by performing dimensional analysis using Parkinson's theorem, constructing a dimensionless correlation equation for the average concentration of the pollutants, and determining the average concentration of the pollutants.

8. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a plurality of instructions, which are suitable for being loaded and executed by a processor according to an intelligent ventilation method for an underground sewage treatment plant as described in any one of claims 1 to 6.

9. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the intelligent ventilation method for an underground sewage treatment plant described in any one of claims 1 to 6 are implemented.

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