An air disinfection and fresh air system based on the Internet of Things and artificial intelligence

Abstract

The present invention relates to the technical field of fresh air system management, and specifically discloses an air disinfection fresh air system based on the Internet of Things and artificial intelligence. The present invention obtains the pipeline air parameters of each air inlet in the fresh air system of a target underground garage and the pipeline air volume operation data corresponding to each air outlet, analyzes the pipeline air filtration quality coefficient corresponding to each air inlet and the pipeline abnormal state corresponding to the fresh air system of the target underground garage, and performs corresponding analysis and processing, thereby effectively improving the pipeline air filtration quality of the fresh air system and meeting the human comfort needs of parking users in the underground garage. At the same time, according to the air bacteria content at each exhaust outlet, the air quality coefficient at each exhaust outlet is obtained, and corresponding treatment measures are executed according to the comparative analysis results, so that the fresh air system has the characteristics of intelligence and versatility, effectively and accurately and scientifically disinfects the air in the underground garage, and further reflects the air disinfection effect of the fresh air system.

Description

Technical Field

[0001] The present invention relates to the technical field of fresh air system management, and in particular to an air disinfection fresh air system based on the Internet of Things and artificial intelligence. Background Art

[0002] With the development of science and technology and the improvement of people's living standards, people are paying more and more attention to the sanitation of underground garages. Simple ventilation in underground garages can no longer meet people's demand for fresh air. Therefore, fresh air systems are becoming more and more popular. Using fresh air systems to filter and disinfect the air entering the underground garage while delivering air has become a modern demand for fresh air systems.

[0003] At present, the shortcomings of the existing fresh air system are: the existing fresh air system needs to regularly replace the filter element and regularly check the status of the ventilation duct, but there is a phenomenon of untimely manual cleaning or inadequate manual inspection, which leads to unqualified duct air filtration quality or duct damage and leakage, thereby causing secondary pollution to the air in the underground garage, and thus failing to meet the human comfort needs of parking users in the underground garage.

[0004] Most of the existing fresh air system air disinfection controls can only be manually assisted, and the existing fresh air system air disinfection can only be performed by discharging indoor air to the outdoors for circulating air disinfection. It is impossible to perform real-time analysis and control based on the air bacteria content in the underground garage. This makes the fresh air system have the characteristics of low intelligence and low versatility, and thus it is impossible to effectively and accurately and scientifically disinfect the air in the underground garage, and further the air disinfection effect of the fresh air system cannot be reflected.

[0005] The above shortcomings have greatly restricted the popularization and promotion of fresh air systems. Summary of the invention

[0006] The purpose of the present invention is to provide an air disinfection and fresh air system based on the Internet of Things and artificial intelligence, which solves the problems existing in the background technology.

[0007] The technical solution adopted by the present invention to solve its technical problem is: the present invention provides an air disinfection fresh air system based on the Internet of Things and artificial intelligence, including: a fresh air system air outlet distinguishing module, used to distinguish the air outlets of the fresh air system corresponding to the target underground garage, and obtain the air inlets, air outlets and exhaust outlets in the fresh air system of the target underground garage.

[0008] The air inlet duct air parameter acquisition module is used to obtain the duct air parameters of each air inlet in the target underground garage fresh air system before and after air filtration, wherein the duct air parameters include the air intake volume and the concentration of tiny particles.

[0009] The duct air filtration quality coefficient analysis module is used to analyze the duct air filtration quality coefficient corresponding to each air inlet in the target underground garage fresh air system, and screen and count the numbers of each air inlet with unqualified duct air filtration quality in the target underground garage fresh air system.

[0010] The duct air volume operation data monitoring module is used to monitor the air volume corresponding to each air outlet in the target underground garage fresh air system, and obtain the duct air volume operation data corresponding to each air outlet in the target underground garage fresh air system.

[0011] The pipeline abnormal state analysis and processing module is used to analyze the pipeline air volume operation data corresponding to each air outlet in the target underground garage fresh air system, and analyze and process the pipeline abnormal state corresponding to the target underground garage fresh air system.

[0012] The pipeline visualization platform is used to receive the numbers of each air inlet in the target underground garage fresh air system whose pipeline air filtration quality is unqualified, and at the same time receive the analysis and processing results of the pipeline abnormal state analysis and processing module, and perform visual display.

[0013] The air bacteria content monitoring module at the exhaust vents is used to monitor the air bacteria content at each exhaust vent in the fresh air system of the target underground garage, and process the air quality coefficient at each exhaust vent corresponding to the target underground garage.

[0014] The air quality coefficient comparison module is used to compare the air quality coefficient at each exhaust outlet of the target underground garage with the preset air quality coefficient threshold. If the air quality coefficient at a certain exhaust outlet is less than the preset air quality coefficient threshold, an instruction to start the chlorine dioxide air disinfection mode is issued.

[0015] The chlorine dioxide air disinfection treatment module is used to start the chlorine dioxide air disinfection mode of the target underground garage fresh air system and disinfect the air of the target underground garage.

[0016] In one possible design, the air vent distinguishing module of the fresh air system specifically includes the following: distinguishing the air vents of the fresh air system corresponding to the target underground garage according to the functional type, obtaining the air inlets, air outlets and exhaust vents in the fresh air system of the target underground garage, numbering the air inlets in the fresh air system of the target underground garage as 1, 2, ..., i, ..., n in sequence according to a preset sequence, numbering the air outlets in the fresh air system of the target underground garage as 1, 2, ..., j, ..., m in sequence according to a preset sequence, and numbering the exhaust vents in the fresh air system of the target underground garage as 1, 2, ..., r, ..., u in sequence according to a preset sequence.

[0017] In a possible design, the air inlet duct air parameter acquisition module acquires the duct air parameters of each air inlet in the target underground garage fresh air system before and after air filtration, specifically including: monitoring the duct air parameters of each air inlet in the target underground garage fresh air system before air filtration, obtaining the air intake volume and micro-particle concentration of each air inlet in the target underground garage fresh air system before air filtration, and marking the air intake volume and micro-particle concentration of each air inlet in the target underground garage fresh air system before air filtration as w, respectively. i a1 and w i a2,i=1,2,...,n,i represents the number of the i-th air inlet in the target underground garage fresh air system.

[0018] The duct air parameters of each air inlet in the target underground garage fresh air system after air filtration are monitored to obtain the air intake volume and fine particle concentration of each air inlet in the target underground garage fresh air system after air filtration. The air intake volume and fine particle concentration of each air inlet in the target underground garage fresh air system after air filtration are marked as w i ′a1 and w i ′a2.

[0019] In a possible design, the specific analysis method corresponding to the duct air filtration quality analysis module is: substitute the duct air parameters of each air inlet before air filtration and the duct air parameters of each air inlet after air filtration in the target underground garage fresh air system into the formula Get the duct air filtration quality coefficient ξ corresponding to each air inlet in the target underground garage fresh air system i , where e is a natural constant, λ1 and λ2 are the air filtration quality influencing factors corresponding to the preset air volume difference and the small particle concentration difference, respectively, and Δw 允 a1 and Δw 允 a2 represents the allowable air volume error value and the allowable fine particle concentration error value of the preset fresh air system inlet before and after air filtration.

[0020] The duct air filtration quality coefficient corresponding to each air inlet in the target underground garage fresh air system is compared with the preset duct air filtration quality coefficient threshold. If the duct air filtration quality coefficient corresponding to an air inlet in the target underground garage fresh air system is less than the preset duct air filtration quality coefficient threshold, it indicates that the duct air filtration quality corresponding to the air inlet is unqualified. The numbers of each air inlet with unqualified duct air filtration quality in the target underground garage fresh air system are counted and sent to the pipeline visualization platform.

[0021] In a possible design, the method for acquiring the duct air volume operation data corresponding to each air outlet in the target underground garage fresh air system in the duct air volume operation data monitoring module includes: monitoring the air inlet and air outlet of the branch duct corresponding to each air outlet in the target underground garage fresh air system, obtaining the air inlet and air outlet of the branch duct corresponding to each air outlet in the target underground garage fresh air system, and marking them as Q j b1 and Q j b2, j = 1, 2, ..., m, where j represents the number of the j-th air outlet in the target underground garage fresh air system.

[0022] The air intake volume at both ends of the intersection of the branch pipe and the main air inlet pipe corresponding to each air outlet in the target underground garage fresh air system is monitored, where the end along the air inlet direction of the main air inlet pipe and the priority monitoring end is recorded as the head end, and the other end along the air inlet direction of the main air inlet pipe is recorded as the tail end. The head end air intake volume and the tail end air intake volume at the intersection of the branch pipe and the main air inlet pipe corresponding to each air outlet in the target underground garage fresh air system are obtained, and they are marked as Q j c1 and Q j c2.

[0023] In a possible design, the pipeline abnormal state analysis and processing module analyzes the pipeline air volume operation data corresponding to each air outlet in the target underground garage fresh air system, specifically including: calculating the air inlet volume Q of the branch pipeline corresponding to each air outlet in the target underground garage fresh air system j b1. Air volume Q of each outlet corresponding to the branch pipe j b2. The air volume Q at the head end of the intersection of the branch pipe corresponding to each air outlet and the main air inlet pipe j c1 and the tail air volume Q at the intersection of the branch duct corresponding to each outlet and the main air inlet duct j Substitute c2 into the formula Obtain the abnormal state index φ of the branch pipes corresponding to each outlet in the target underground garage fresh air system j , where δ1 represents the influence factor of abnormal state of the outlet branch pipe of the preset fresh air system, ΔQ 预 It is represented by the allowable error value between the air inlet and air outlet in the preset fresh air system outlet duct, δ2 is represented by the abnormal state influencing factor at the intersection of the preset fresh air system outlet branch duct and the main air inlet duct, ΔQ′ 损耗 Indicates the allowable loss of air intake corresponding to the preset fresh air system outlet duct.

[0024] The air volume of each air inlet in the target underground garage fresh air system after air filtration

[0025] '

[0026] w ia1 and the air volume Q at the head end where the branch pipes corresponding to each air outlet meet the main air inlet pipe j Substitute c1 into the formula Get the abnormal state index of the main air inlet duct corresponding to the target underground garage fresh air system Where ε represents the influence factor of abnormal state of the main air inlet duct of the preset fresh air system, ΔW 允许 It represents the allowable loss of air intake volume corresponding to the preset main air intake duct of the fresh air system.

[0027] In one possible design, the pipeline abnormal state analysis and processing module analyzes and processes the abnormal state of the pipeline corresponding to the target underground garage fresh air system, specifically including: comparing the abnormal state index of the branch pipeline corresponding to each air outlet in the target underground garage fresh air system with a preset threshold value of the abnormal state index of the branch pipeline corresponding to the fresh air system air outlet; if the abnormal state index of the branch pipeline corresponding to a certain air outlet is greater than the preset threshold value of the abnormal state index of the branch pipeline corresponding to the fresh air system air outlet, it indicates that the branch pipeline corresponding to the air outlet is in an abnormal leakage state; the numbers of the branch pipelines in the target underground garage fresh air system that are in an abnormal leakage state are counted and sent to the pipeline visualization platform.

[0028] The abnormal state index of the main air inlet duct corresponding to the target underground garage fresh air system is compared with the preset abnormal state index threshold of the main air inlet duct of the fresh air system. If the abnormal state index of the main air inlet duct corresponding to the target underground garage fresh air system is greater than the preset abnormal state index threshold of the main air inlet duct of the fresh air system, it indicates that the main air inlet duct corresponding to the target underground garage fresh air system is in an abnormal leakage state, and an early warning command is issued to the pipeline visualization platform.

[0029] In a possible design, the exhaust air bacteria content monitoring module is used to monitor the air bacteria content per unit volume at each exhaust air outlet in the target underground garage fresh air system through an air bacteria detector, and the air bacteria content per unit volume at each exhaust air outlet in the target underground garage fresh air system is marked as x. r , r=1,2,...,u, r represents the number of the rth exhaust outlet.

[0030] The bacterial content per unit volume of air at each exhaust outlet in the fresh air system of the target underground garage is x r Substitute into the formula Get the air quality coefficient ζ at each exhaust outlet of the target underground garage r , where σ represents the preset indoor air quality impact compensation factor, It is expressed as the standard bacterial content per unit volume of air in the preset underground garage, Δx 允 Expressed as the allowable error content of bacteria per unit volume of air.

[0031] In one possible design, the chlorine dioxide air disinfection treatment module includes a chlorine dioxide demand acquisition unit, a chlorine dioxide preparation unit and a chlorine dioxide air disinfection unit.

[0032] The chlorine dioxide demand acquisition unit is used to receive an instruction to start the chlorine dioxide air disinfection mode issued by the air quality coefficient comparison module, count the air quality coefficients at each exhaust outlet corresponding to the target underground garage, select the minimum air quality coefficient corresponding to the target underground garage, and record it as the designated air quality coefficient corresponding to the target underground garage; based on the designated air quality coefficient corresponding to the target underground garage, estimate the chlorine dioxide demand corresponding to the target underground garage.

[0033] The chlorine dioxide preparation unit is used to prepare a corresponding amount of chlorine dioxide through a fresh air system of a target underground garage according to a corresponding amount of chlorine dioxide demanded by the target underground garage.

[0034] The chlorine dioxide air disinfection unit is used to discharge the chlorine dioxide prepared by the fresh air system of the target underground garage to the target underground garage, and disinfect the air of the target underground garage.

[0035] Compared with the prior art, the air disinfection and fresh air system based on the Internet of Things and artificial intelligence described in the present invention has the following beneficial effects: 1. The present invention obtains the pipeline air parameters of each air inlet in the fresh air system of the target underground garage before and after air filtration, analyzes the pipeline air filtration quality coefficient corresponding to each air inlet, and visualizes the number of each air inlet with unqualified pipeline air filtration quality, thereby effectively avoiding the phenomenon of untimely manual cleaning, improving the pipeline air filtration quality of the fresh air system, and reducing the possibility of secondary pollution of the air in the underground garage. At the same time, the pipeline air volume operation data corresponding to each air outlet in the fresh air system of the target underground garage is monitored, the abnormal state of the pipeline corresponding to the fresh air system of the target underground garage is analyzed, and corresponding processing is performed, thereby effectively avoiding the phenomenon of inadequate manual inspection, ensuring that the problem of damage and leakage of the fresh air system pipeline can be discovered in time, thereby meeting the human comfort needs of parking users in the underground garage.

[0036] 2. The present invention monitors the air bacteria content at each exhaust outlet of the target underground garage fresh air system, obtains the air quality coefficient at each exhaust outlet corresponding to the target underground garage, and executes corresponding treatment measures according to the comparative analysis results, thereby realizing real-time analysis of the air bacteria content in the underground garage, making the fresh air system intelligent and multifunctional, and effectively and accurately and scientifically disinfecting the air in the underground garage, further reflecting the air disinfection effect of the fresh air system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0038] Figure 1 This is a system module connection diagram of the present invention.

[0039] Figure 2 This is a schematic diagram of the chlorine dioxide air disinfection treatment module in the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] See also Figure 1 As shown, the present invention provides an air disinfection fresh air system based on the Internet of Things and artificial intelligence, including a fresh air system air outlet distinction module, an air inlet duct air parameter acquisition module, a duct air filtration quality coefficient analysis module, a duct air volume operation data monitoring module, a duct abnormal state analysis and processing module, a duct visualization platform, an exhaust air bacteria content monitoring module, an air quality coefficient comparison module and a chlorine dioxide air disinfection treatment module.

[0042] The fresh air system air outlet differentiation module is respectively connected to the air inlet duct air parameter acquisition module, the duct air volume operation data monitoring module and the exhaust air bacteria content monitoring module; the duct air filtration quality coefficient analysis module is respectively connected to the air inlet duct air parameter acquisition module and the duct visualization platform; the duct abnormal state analysis and processing module is respectively connected to the duct air volume operation data monitoring module and the duct visualization platform; the air quality coefficient comparison module is respectively connected to the exhaust air bacteria content monitoring module and the chlorine dioxide air disinfection treatment module.

[0043] The fresh air system air vent distinguishing module is used to distinguish the air vents of the fresh air system corresponding to the target underground garage, and obtain each air inlet, each air outlet and each exhaust vent in the fresh air system of the target underground garage.

[0044] In this embodiment, the fresh air system air outlet differentiation module specifically includes the following:

[0045] The air vents of the fresh air system corresponding to the target underground garage are distinguished according to the functional type to obtain the air inlets, air outlets and exhaust vents in the fresh air system of the target underground garage, and the air inlets in the fresh air system of the target underground garage are numbered as 1, 2, ..., i, ..., n in a preset order, and the air outlets in the fresh air system of the target underground garage are numbered as 1, 2, ..., j, ..., m in a preset order, and the exhaust vents in the fresh air system of the target underground garage are numbered as 1, 2, ..., r, ..., u in a preset order.

[0046] The air inlet duct air parameter acquisition module is used to obtain duct air parameters of each air inlet in the target underground garage fresh air system before and after air filtration, wherein the duct air parameters include air intake volume and tiny particle concentration.

[0047] In this embodiment, the air inlet duct air parameter acquisition module acquires the duct air parameters of each air inlet in the target underground garage fresh air system before and after air filtration, specifically including:

[0048] The duct air parameters of each air inlet in the target underground garage fresh air system before air filtration are monitored to obtain the air intake volume and fine particle concentration of each air inlet in the target underground garage fresh air system before air filtration. The air intake volume and fine particle concentration of each air inlet in the target underground garage fresh air system before air filtration are marked as w i a1 and w i a2,i=1,2,...,n,i represents the number of the i-th air inlet in the target underground garage fresh air system.

[0049] The duct air parameters of each air inlet in the target underground garage fresh air system after air filtration are monitored to obtain the air intake volume and fine particle concentration of each air inlet in the target underground garage fresh air system after air filtration. The air intake volume and fine particle concentration of each air inlet in the target underground garage fresh air system after air filtration are marked as w i ′a1 and w i ′a2.

[0050] Furthermore, in the above, the air intake volume of each air inlet in the target underground garage fresh air system before air filtration is monitored by the first gas flow sensor, wherein a plurality of first gas flow sensors are respectively installed in the pipe at each air inlet, and the plurality of first gas flow sensors correspond one-to-one to each air inlet, and the first tiny particle concentration detector is used to monitor the tiny particle concentration of each air inlet in the target underground garage fresh air system before air filtration, wherein a plurality of first tiny particle concentration detectors are respectively installed in the pipe at each air inlet, and the plurality of first tiny particle concentration detectors correspond one-to-one to each air inlet.

[0051] In the above, the air intake volume of each air inlet in the target underground garage fresh air system after air filtration is monitored by a second gas flow sensor, wherein a plurality of second gas flow sensors are respectively installed in the pipeline of each air inlet after air filtration, and a plurality of second gas flow sensors correspond one-to-one to each air inlet, and the second tiny particle concentration detector is used to monitor the tiny particle concentration of each air inlet in the target underground garage fresh air system after air filtration, wherein a plurality of second tiny particle concentration detectors are respectively installed in the pipeline of each air inlet after air filtration, and a plurality of second tiny particle concentration detectors correspond one-to-one to each air inlet.

[0052] The duct air filtration quality coefficient analysis module is used to analyze the duct air filtration quality coefficients corresponding to each air inlet in the target underground garage fresh air system, and screen and count the numbers of each air inlet with unqualified duct air filtration quality in the target underground garage fresh air system.

[0053] In this embodiment, the specific analysis method corresponding to the pipeline air filtration quality analysis module is: substitute the pipeline air parameters of each air inlet before air filtration and the pipeline air parameters of each air inlet after air filtration in the target underground garage fresh air system into the formula Get the duct air filtration quality coefficient ξ corresponding to each air inlet in the target underground garage fresh air system i , where e is a natural constant, λ1 and λ2 are the air filtration quality influencing factors corresponding to the preset air volume difference and the small particle concentration difference, respectively, and Δw 允 a1 and Δw 允 a2 represents the allowable air volume error value and the allowable fine particle concentration error value of the preset fresh air system inlet before and after air filtration.

[0054] The duct air filtration quality coefficient corresponding to each air inlet in the target underground garage fresh air system is compared with the preset duct air filtration quality coefficient threshold. If the duct air filtration quality coefficient corresponding to an air inlet in the target underground garage fresh air system is less than the preset duct air filtration quality coefficient threshold, it indicates that the duct air filtration quality corresponding to the air inlet is unqualified. The numbers of each air inlet with unqualified duct air filtration quality in the target underground garage fresh air system are counted and sent to the pipeline visualization platform.

[0055] Specifically, the present invention obtains the duct air parameters of each air inlet in the target underground garage fresh air system before and after air filtration, analyzes the duct air filtration quality coefficient corresponding to each air inlet, and visualizes the number of each air inlet with unqualified duct air filtration quality, thereby effectively avoiding the phenomenon of untimely manual cleaning, improving the duct air filtration quality of the fresh air system, and reducing the possibility of secondary pollution of the air in the underground garage.

[0056] The duct air volume operation data monitoring module is used to monitor the air volume corresponding to each air outlet in the target underground garage fresh air system, and obtain the duct air volume operation data corresponding to each air outlet in the target underground garage fresh air system.

[0057] In this embodiment, the method for acquiring the pipeline air volume operation data corresponding to each air outlet in the target underground garage fresh air system in the pipeline air volume operation data monitoring module includes: monitoring the air inlet and air outlet of the branch pipeline corresponding to each air outlet in the target underground garage fresh air system, obtaining the air inlet and air outlet of the branch pipeline corresponding to each air outlet in the target underground garage fresh air system, and marking them as Q in turn. j b1 and Q j b2, j = 1, 2, ..., m, where j represents the number of the j-th air outlet in the target underground garage fresh air system.

[0058] The air intake volume at both ends of the intersection of the branch pipe and the main air inlet pipe corresponding to each air outlet in the target underground garage fresh air system is monitored, where the end along the air inlet direction of the main air inlet pipe and the priority monitoring end is recorded as the head end, and the other end along the air inlet direction of the main air inlet pipe is recorded as the tail end. The head end air intake volume and the tail end air intake volume at the intersection of the branch pipe and the main air inlet pipe corresponding to each air outlet in the target underground garage fresh air system are obtained, and they are marked as Q j c1 and Q j c2.

[0059] The pipeline abnormal state analysis and processing module is used to analyze the pipeline air volume operation data corresponding to each air outlet in the target underground garage fresh air system, and analyze and process the pipeline abnormal state corresponding to the target underground garage fresh air system.

[0060] In this embodiment, the pipeline abnormal state analysis and processing module analyzes the pipeline air volume operation data corresponding to each air outlet in the target underground garage fresh air system, specifically including: the air inlet volume Q corresponding to each air outlet in the target underground garage fresh air system j b1. Air volume Q of each outlet corresponding to the branch pipe j b2. The air volume Q at the head end of the intersection of the branch pipe corresponding to each air outlet and the main air inlet pipe j c1 and the tail air volume Q at the intersection of the branch duct corresponding to each outlet and the main air inlet duct j Substitute c2 into the formula Obtain the abnormal state index φ of the branch pipes corresponding to each outlet in the target underground garage fresh air system j , where δ1 represents the influence factor of abnormal state of the outlet branch pipe of the preset fresh air system, ΔQ 预It is represented by the allowable error value between the air inlet and air outlet in the preset fresh air system outlet duct, δ2 is represented by the abnormal state influencing factor at the intersection of the preset fresh air system outlet branch duct and the main air inlet duct, ΔQ′ 损耗 It represents the allowable loss of air intake volume corresponding to the preset fresh air system outlet duct;

[0061] The air volume of each air inlet in the target underground garage fresh air system after air filtration

[0062] '

[0063] w i a1 and the air volume Q at the head end where the branch pipes corresponding to each air outlet meet the main air inlet pipe j Substitute c1 into the formula Get the abnormal state index of the main air inlet duct corresponding to the target underground garage fresh air system Where ε represents the influence factor of abnormal state of the main air inlet duct of the preset fresh air system, ΔW 允许 It represents the allowable loss of air intake volume corresponding to the preset main air intake duct of the fresh air system.

[0064] In this embodiment, the pipeline abnormal state analysis and processing module analyzes and processes the abnormal state of the pipeline corresponding to the target underground garage fresh air system, specifically including: comparing the abnormal state index of the branch pipeline corresponding to each air outlet in the target underground garage fresh air system with the preset threshold value of the abnormal state index of the branch pipeline corresponding to the fresh air system air outlet; if the abnormal state index of the branch pipeline corresponding to a certain air outlet is greater than the preset threshold value of the abnormal state index of the branch pipeline corresponding to the fresh air system air outlet, it indicates that the branch pipeline corresponding to the air outlet is in an abnormal leakage state; the numbers of the branch pipelines in the target underground garage fresh air system that are in an abnormal leakage state are counted and sent to the pipeline visualization platform.

[0065] The abnormal state index of the main air inlet duct corresponding to the target underground garage fresh air system is compared with the preset abnormal state index threshold of the main air inlet duct of the fresh air system. If the abnormal state index of the main air inlet duct corresponding to the target underground garage fresh air system is greater than the preset abnormal state index threshold of the main air inlet duct of the fresh air system, it indicates that the main air inlet duct corresponding to the target underground garage fresh air system is in an abnormal leakage state, and an early warning command is issued to the pipeline visualization platform.

[0066] Specifically, the present invention monitors the pipe air volume operation data corresponding to each air outlet in the target underground garage fresh air system, analyzes the abnormal status of the pipe corresponding to the target underground garage fresh air system, and performs corresponding processing, thereby effectively avoiding the phenomenon of inadequate manual inspection, ensuring that the problem of damage and leakage of the fresh air system pipe can be discovered in time, thereby meeting the human comfort needs of parking users in the underground garage.

[0067] The pipeline visualization platform is used to receive the numbers of each air inlet in the target underground garage fresh air system whose pipeline air filtration quality is unqualified, and at the same time receive the numbers of each air outlet in the target underground garage fresh air system and the early warning instructions sent by the pipeline abnormal state analysis and processing module, and perform visual display, so as to intuitively show the abnormal position of the target underground garage fresh air system, and provide convenient and intuitive services for managers of the target underground garage fresh air system.

[0068] The exhaust air bacteria content monitoring module is used to monitor the air bacteria content at each exhaust air outlet in the fresh air system of the target underground garage, and process to obtain the air quality coefficient at each exhaust air outlet corresponding to the target underground garage.

[0069] In this embodiment, the air outlet air bacteria content monitoring module is used to monitor the air bacteria content per unit volume at each air outlet in the target underground garage fresh air system through an air bacteria detector, and the air bacteria content per unit volume at each air outlet in the target underground garage fresh air system is marked as x. r , r=1,2,...,u, r represents the number of the rth exhaust outlet.

[0070] The bacterial content per unit volume of air at each exhaust outlet in the fresh air system of the target underground garage is x r Substitute into the formula Get the air quality coefficient ζ at each exhaust outlet of the target underground garage r , where σ represents the preset indoor air quality impact compensation factor, It is expressed as the standard bacterial content per unit volume of air in the preset underground garage, Δx 允 Expressed as the allowable error content of bacteria per unit volume of air.

[0071] The air quality coefficient comparison module is used to compare the air quality coefficient at each exhaust outlet corresponding to the target underground garage with a preset air quality coefficient threshold. If the air quality coefficient at a certain exhaust outlet is less than the preset air quality coefficient threshold, an instruction to start the chlorine dioxide air disinfection mode is issued.

[0072] The chlorine dioxide air disinfection treatment module is used to start the chlorine dioxide air disinfection mode of the fresh air system of the target underground garage and disinfect the air of the target underground garage.

[0073] See also Figure 2 As shown, in this embodiment, the chlorine dioxide air disinfection treatment module includes a chlorine dioxide demand acquisition unit, a chlorine dioxide preparation unit and a chlorine dioxide air disinfection unit.

[0074] The chlorine dioxide demand acquisition unit is used to receive an instruction to start the chlorine dioxide air disinfection mode issued by the air quality coefficient comparison module, count the air quality coefficients at each exhaust outlet corresponding to the target underground garage, select the minimum air quality coefficient corresponding to the target underground garage, and record it as the designated air quality coefficient corresponding to the target underground garage; based on the designated air quality coefficient corresponding to the target underground garage, estimate the chlorine dioxide demand corresponding to the target underground garage.

[0075] The chlorine dioxide preparation unit is used to prepare a corresponding amount of chlorine dioxide through a fresh air system of a target underground garage according to a corresponding amount of chlorine dioxide demanded by the target underground garage.

[0076] The chlorine dioxide air disinfection unit is used to discharge the chlorine dioxide prepared by the fresh air system of the target underground garage to the target underground garage, and disinfect the air of the target underground garage.

[0077] Furthermore, the method for estimating the chlorine dioxide demand corresponding to the target underground garage in the above-mentioned manner is: comparing the specified air quality coefficient corresponding to the target underground garage with the specified air quality coefficient range corresponding to each preset air disinfection level, screening the air disinfection level corresponding to the target underground garage, and based on the maximum chlorine dioxide demand corresponding to each preset air disinfection level, screening to obtain the chlorine dioxide demand corresponding to the target underground garage.

[0078] In a possible design, the chlorine dioxide air disinfection treatment module also includes a chlorine dioxide preparation component monitoring unit, a chlorine dioxide preparation component analysis unit and an early warning display unit.

[0079] The chlorine dioxide preparation component monitoring unit is used to monitor the current supply of various chlorine dioxide preparation components in the target underground garage fresh air system through weight sensors.

[0080] The chlorine dioxide preparation component analysis unit is used to obtain the preparation demand of various chlorine dioxide preparation components according to the chlorine dioxide demand corresponding to the target underground garage, and compare the current supply of various chlorine dioxide preparation components in the fresh air system of the target underground garage with the preparation demand of the corresponding chlorine dioxide preparation component. If the current supply of a certain chlorine dioxide preparation component in the fresh air system of the target underground garage is less than or equal to the preparation demand of the corresponding chlorine dioxide preparation component, it indicates that the supply of this chlorine dioxide preparation component is insufficient, and the various chlorine dioxide preparation components with insufficient supply in the fresh air system of the target underground garage are counted, and the demand differences corresponding to the various chlorine dioxide preparation components with insufficient supply in the fresh air system of the target underground garage are compared and screened.

[0081] The early warning display unit is used to display early warning of the demand difference corresponding to various chlorine dioxide preparation components that are insufficiently supplied in the fresh air system of the target underground garage.

[0082] Specifically, the present invention monitors the air bacteria content at each exhaust outlet of the target underground garage's fresh air system, obtains the air quality coefficient at each exhaust outlet corresponding to the target underground garage, and executes corresponding treatment measures according to the comparative analysis results, thereby realizing real-time analysis of the air bacteria content in the underground garage, making the fresh air system intelligent and multifunctional, and effectively performing precise and scientific air disinfection on the underground garage, further reflecting the air disinfection effect of the fresh air system.

[0083] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. An air disinfection and fresh air system based on the Internet of Things and artificial intelligence, characterized in that: include: A fresh air system air outlet distinguishing module is used to distinguish the air outlets of the fresh air system corresponding to the target underground garage, and obtain each air inlet, each air outlet and each exhaust outlet of the fresh air system of the target underground garage; An air inlet duct air parameter acquisition module is used to obtain duct air parameters of each air inlet in the target underground garage fresh air system before and after air filtration, wherein the duct air parameters include air intake volume and fine particle concentration; The duct air filtration quality coefficient analysis module is used to analyze the duct air filtration quality coefficients corresponding to each air inlet in the target underground garage fresh air system, and screen and count the numbers of each air inlet in the target underground garage fresh air system that has unqualified duct air filtration quality; The duct air volume operation data monitoring module is used to monitor the air volume corresponding to each air outlet in the target underground garage fresh air system, and obtain the duct air volume operation data corresponding to each air outlet in the target underground garage fresh air system; The method for acquiring the pipeline air volume operation data corresponding to each air outlet in the target underground garage fresh air system in the pipeline air volume operation data monitoring module includes: The air inlet and air outlet of each branch pipe corresponding to each air outlet in the target underground garage fresh air system are monitored to obtain the air inlet and air outlet of each branch pipe corresponding to each air outlet in the target underground garage fresh air system, and mark them as , , j represents the number of the jth air outlet in the target underground garage fresh air system; The air intake volume at both ends of the intersection of the branch pipe and the main air inlet pipe corresponding to each air outlet in the target underground garage fresh air system is monitored, where the end along the air inlet direction of the main air inlet pipe and the priority monitoring end is recorded as the head end, and the other end along the air inlet direction of the main air inlet pipe is recorded as the tail end. The head end air intake volume and the tail end air intake volume at the intersection of the branch pipe and the main air inlet pipe corresponding to each air outlet in the target underground garage fresh air system are obtained, and they are marked as ; The pipeline abnormal state analysis and processing module is used to analyze the pipeline air volume operation data corresponding to each air outlet in the target underground garage fresh air system, and analyze and process the pipeline abnormal state corresponding to the target underground garage fresh air system; The specific distinction method corresponding to the air outlet distinction module of the fresh air system is as follows: The air vents of the fresh air system corresponding to the target underground garage are distinguished according to their functional types, and each air inlet, each air outlet and each exhaust vent of the fresh air system of the target underground garage is obtained. Each air inlet of the fresh air system of the target underground garage is numbered in sequence according to a preset order. , number the air outlets in the target underground garage fresh air system in sequence according to the preset order. The exhaust vents in the target underground garage fresh air system are numbered in sequence according to the preset order. ; The air inlet duct air parameter acquisition module acquires the duct air parameters of each air inlet in the target underground garage fresh air system before and after air filtration, specifically including: The duct air parameters of each air inlet in the target underground garage fresh air system before air filtration are monitored to obtain the air intake volume and fine particle concentration of each air inlet in the target underground garage fresh air system before air filtration. The air intake volume and fine particle concentration of each air inlet in the target underground garage fresh air system before air filtration are marked as and , ,i represents the number of the i-th air inlet in the target underground garage fresh air system; The duct air parameters of each air inlet in the target underground garage fresh air system after air filtration are monitored to obtain the air intake volume and fine particle concentration of each air inlet in the target underground garage fresh air system after air filtration. The air intake volume and fine particle concentration of each air inlet in the target underground garage fresh air system after air filtration are marked as and ; The pipeline abnormal state analysis and processing module analyzes the pipeline air volume operation data corresponding to each air outlet in the target underground garage fresh air system, specifically including: The air intake volume of each outlet corresponding to the branch pipe in the target underground garage fresh air system , the air volume of each outlet corresponding to the branch pipe , the air volume at the head end of the intersection of each outlet's branch pipe and the main air inlet pipe The tail air volume at the intersection of the branch pipe corresponding to each outlet and the main air inlet pipe Substitute into the formula , get the abnormal state index of branch pipes corresponding to each outlet in the target underground garage fresh air system ,in It is represented by the influence factor of abnormal state of the outlet branch pipe of the preset fresh air system. It is expressed as the allowable error value between the air inlet and air outlet in the preset fresh air system outlet duct. It is represented by the influence factor of abnormal state at the intersection of the outlet branch pipe of the preset fresh air system and the main air inlet pipe. It represents the allowable loss of air intake volume corresponding to the preset fresh air system outlet duct; The air volume of each air inlet in the target underground garage fresh air system after air filtration The air volume at the head end where the branch pipes corresponding to each air outlet meet the main air inlet pipe Substitute into the formula , get the abnormal state index of the main air inlet duct corresponding to the target underground garage fresh air system ,in It is represented by the influence factor of abnormal state of the main air inlet duct of the preset fresh air system. It represents the allowable loss of air intake volume corresponding to the preset main air intake duct of the fresh air system; The pipeline abnormal state analysis and processing module analyzes and processes the pipeline abnormal state corresponding to the target underground garage fresh air system, specifically including: The abnormal state index of the branch pipes corresponding to each air outlet in the target underground garage fresh air system is compared with the preset abnormal state index threshold of the branch pipes corresponding to the air outlets of the fresh air system. If the abnormal state index of the branch pipe corresponding to a certain air outlet is greater than the preset abnormal state index threshold of the branch pipe corresponding to the air outlet of the fresh air system, it indicates that the branch pipe corresponding to the air outlet is in an abnormal leakage state. The numbers of the air outlets in the fresh air system of the target underground garage that are in an abnormal leakage state are counted and sent to the pipeline visualization platform; The abnormal state index of the main air inlet duct corresponding to the fresh air system of the target underground garage is compared with the preset abnormal state index threshold of the main air inlet duct of the fresh air system. If the abnormal state index of the main air inlet duct corresponding to the fresh air system of the target underground garage is greater than the preset abnormal state index threshold of the main air inlet duct of the fresh air system, it indicates that the main air inlet duct corresponding to the fresh air system of the target underground garage is in an abnormal leakage state, and an early warning instruction is issued to the pipeline visualization platform; The pipeline visualization platform is used to receive the numbers of the air inlets in the target underground garage fresh air system where the pipeline air filtration quality is unqualified, and at the same time receive the analysis and processing results of the pipeline abnormal state analysis and processing module, and perform visualization display; The air outlet air bacteria content monitoring module is used to monitor the air bacteria content at each air outlet in the fresh air system of the target underground garage, and process it to obtain the air quality coefficient at each air outlet corresponding to the target underground garage; The air quality coefficient comparison module is used to compare the air quality coefficient at each exhaust outlet of the target underground garage with the preset air quality coefficient threshold. If the air quality coefficient at a certain exhaust outlet is less than the preset air quality coefficient threshold, an instruction to start the chlorine dioxide air disinfection mode is issued; The chlorine dioxide air disinfection treatment module is used to start the chlorine dioxide air disinfection mode of the target underground garage fresh air system and disinfect the air of the target underground garage.

2. According to claim 1, an air disinfection and fresh air system based on the Internet of Things and artificial intelligence is characterized by: The specific analysis method corresponding to the pipeline air filtration quality analysis module is: Substitute the pipe air parameters of each air inlet before air filtration and the pipe air parameters of each air inlet after air filtration in the target underground garage fresh air system into the formula , and obtain the duct air filtration quality coefficient corresponding to each air inlet in the target underground garage fresh air system , where e is a natural constant, They are respectively expressed as the air filtration quality influencing factors corresponding to the preset air volume difference and the small particle concentration difference, It is expressed as the allowable air volume error value and the allowable fine particle concentration error value of the preset fresh air system air inlet before and after air filtration; The duct air filtration quality coefficient corresponding to each air inlet in the target underground garage fresh air system is compared with the preset duct air filtration quality coefficient threshold. If the duct air filtration quality coefficient corresponding to an air inlet in the target underground garage fresh air system is less than the preset duct air filtration quality coefficient threshold, it indicates that the duct air filtration quality corresponding to the air inlet is unqualified. The numbers of each air inlet with unqualified duct air filtration quality in the target underground garage fresh air system are counted and sent to the pipeline visualization platform.

3. The air disinfection and fresh air system based on the Internet of Things and artificial intelligence according to claim 1 is characterized in that: The air outlet air bacteria content monitoring module is used to monitor the air bacteria content per unit volume at each air outlet in the target underground garage fresh air system through an air bacteria detector, and mark the air bacteria content per unit volume at each air outlet in the target underground garage fresh air system as , , r represents the number of the rth exhaust outlet; The bacterial content per unit volume of air at each exhaust outlet in the fresh air system of the target underground garage Substitute into the formula , get the air quality coefficient of each exhaust outlet of the target underground garage ,in Expressed as the preset indoor air quality impact compensation factor, It is expressed as the standard bacterial content per unit volume of air in a preset underground garage. Expressed as the allowable error content of bacteria per unit volume of air.

4. The air disinfection and fresh air system based on the Internet of Things and artificial intelligence according to claim 1 is characterized in that: The chlorine dioxide air disinfection treatment module includes a chlorine dioxide demand acquisition unit, a chlorine dioxide preparation unit and a chlorine dioxide air disinfection unit; The chlorine dioxide demand acquisition unit is used to receive an instruction to start the chlorine dioxide air disinfection mode issued by the air quality coefficient comparison module, count the air quality coefficients at each exhaust port corresponding to the target underground garage, select the minimum air quality coefficient corresponding to the target underground garage, and record it as the designated air quality coefficient corresponding to the target underground garage, and estimate the chlorine dioxide demand corresponding to the target underground garage according to the designated air quality coefficient corresponding to the target underground garage; The chlorine dioxide preparation unit is used to prepare a corresponding amount of chlorine dioxide through the target underground garage fresh air system according to the corresponding chlorine dioxide demand of the target underground garage; The chlorine dioxide air disinfection unit is used to discharge the chlorine dioxide prepared by the fresh air system of the target underground garage to the target underground garage, and disinfect the air of the target underground garage.

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