A low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification system and equipment

Abstract

The invention discloses a low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification system and equipment, which belongs to the field of energy-saving purification technology. The invention judges and selects accurate data according to the real-time data fault tolerance interval of the corresponding gas monitoring sensor, the abnormality of the data and the real-time event abnormality index of the corresponding gas monitoring sensor, ensures the accuracy of the system analyzing the air quality level according to the accurate data, and then accurately and efficiently regulates the disinfection and purification device of the air conditioner, thereby achieving low-carbon and energy-saving while ensuring effective disinfection and purification.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving purification, and in particular to a low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification system and equipment. Background Art

[0002] Nowadays, ventilation and air conditioning are essential equipment in many places. In today's society that emphasizes low energy consumption, how to control air conditioning energy saving has become an important topic. However, most studies only focus on the air conditioning ventilation control level, and ignore the control of energy saving from the disinfection and purification system in the air conditioner.

[0003] The energy saving of the disinfection and purification system in the air conditioner is mainly controlled by the gas monitoring sensor to monitor the ambient air quality and then adjust it. However, how to judge whether the data monitored by the gas monitoring sensor is accurate data and then effectively control the disinfection and purification system for energy saving has become a difficult problem. Summary of the invention

[0004] In order to solve the technical problems existing in the prior art, the present invention provides a low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification system, comprising:

[0005] A plurality of sensor module nodes, each sensor module node is provided with a sensor module, and each sensor module includes different types of gas monitoring sensors;

[0006] The accurate data analysis module is used to determine whether the data D monitored by each gas monitoring sensor is accurate data, specifically:

[0007] Determine whether the data D is within the real-time data fault tolerance interval [DRC1, DRC2] of the corresponding gas monitoring sensor. If so, the data D is determined to be accurate data. If not, analyze whether the abnormality θ of the data is greater than the real-time event abnormality index α of the corresponding gas monitoring sensor. If so, the data D is determined to be accurate data. If not, the data D is determined to be inaccurate data, wherein DRC1 represents the lower limit value of the corresponding real-time data fault tolerance interval, and DRC2 represents the upper limit value of the corresponding real-time data fault tolerance interval;

[0008] An air quality analysis module, used to evaluate the air quality level of the current environment according to the accurate data obtained by the accurate data analysis module in the same sampling period of each gas monitoring sensor;

[0009] A disinfection and purification device for purifying the air intake of the air conditioner; the disinfection and purification device comprises a plurality of disinfection and purification modules, each of which comprises an electrostatic sterilization and dust removal air purification device and a light plasma air purification and sterilization device, and each of the light plasma air purification and sterilization devices comprises a plurality of ultraviolet lamps and a plurality of plasma generators;

[0010] A control module, configured to control the number of electrostatic sterilization and dust removal air purification devices and the number of ultraviolet lamps and plasma generators of the photo-plasma air purification and sterilization device in the disinfection and purification device according to the air quality level of the current environment through a preset control strategy.

[0011] Further, the calculation method of the real-time data fault tolerance interval is specifically as follows:

[0012]

[0013]

[0014] Wherein, E represents the mathematical expectation of the measured value of the corresponding gas monitoring sensor in the normal area, represents the preset minimum environmental interference factor, represents the preset maximum environmental interference factor, represents the data standard deviation corresponding to the corresponding data D in the corresponding sampling period of the corresponding gas monitoring sensor, and k represents the number of data obtained by the corresponding gas monitoring sensor within one sampling period.

[0015] Further, the calculation method of the abnormality degree θ is specifically as follows:

[0016] If D < DRC1, then θ = (D - E) / (DRC2 - DRC1);

[0017] If D > DRC1, then θ = (E - D) / (DRC2 - DRC1).

[0018] Further, the calculation method of the real-time event abnormality index α is specifically as follows:

[0019] If D < DRC1, then α = DRC2 / (DRC2 - DRC1);

[0020] If D > DRC1, then α = DRC1 / (DRC2 - DRC1).

[0021] Further, in each disinfection and purification module, the photo-plasma air purification and sterilization device is inlaid and connected to the back of the electrostatic sterilization and dust removal air purification device.

[0022] Further, the preset control strategy is pre-set manually according to the number of electrostatic sterilization and dust removal air purification devices included in the used disinfection and purification device, the total number of ultraviolet lamps and the total number of plasma generators of the photo-plasma air purification and sterilization device. The preset control strategy records the number of electrostatic sterilization and dust removal air purification devices, the number of ultraviolet lamps and the number of plasma generators corresponding to each air quality level.

[0023] Furthermore, the air quality analysis module evaluates the air quality level of the current environment according to the accurate data obtained by the accurate data analysis module from each gas monitoring sensor within the same sampling period, specifically:

[0024] Obtain the total number V1 of gas monitoring sensors and the threshold value of exceeding the standard corresponding to each type of data. The threshold value of exceeding the standard is preset manually. Different types of gas monitoring sensors monitor different types of data, and the corresponding threshold value of exceeding the standard is also different.

[0025] The accurate data obtained from each gas monitoring sensor in the same sampling period are respectively averaged;

[0026] The number V2 of gas monitoring sensors whose statistical mean is greater than the corresponding exceeding threshold value;

[0027] The ratio of V1 to V2 is used as the air quality level of the current environment.

[0028] The present invention also provides a low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification equipment, which adopts the above-mentioned low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification system, wherein the low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification equipment is composed of multiple disinfection and purification modules, each disinfection and purification module includes an electrostatic sterilization and dust removal air purification device and a photo plasma air purification and sterilization device.

[0029] The present invention also provides a low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification method, comprising the following steps:

[0030] Acquire monitoring data D through the gas monitoring sensor in each sensor module node according to a preset sampling period;

[0031] Determine whether each monitoring data D is accurate data;

[0032] Evaluate the current air quality level based on accurate data obtained during the same sampling period of each gas monitoring sensor;

[0033] According to the air quality level of the current environment, the number of electrostatic sterilization and dust removal air purification devices in the disinfection and purification device and the number of ultraviolet lamps and plasma generators in the optical plasma air purification and sterilization device are controlled through a preset control strategy;

[0034] The determination of whether each monitoring data D is accurate data is specifically as follows:

[0035] Determine whether the data D is within the real-time data fault tolerance interval [DRC1, DRC2] of the corresponding gas monitoring sensor. If so, the data D is judged as accurate data. If not, analyze whether the abnormality θ of the data is greater than the real-time event abnormality index α of the corresponding gas monitoring sensor. If so, the data D is judged as accurate data. If not, the data D is judged as inaccurate data, wherein DRC1 represents the lower limit value of the corresponding real-time data fault tolerance interval, and DRC2 represents the upper limit value of the corresponding real-time data fault tolerance interval.

[0036] Furthermore, the disinfection and purification device includes a plurality of disinfection and purification modules, each of which includes an electrostatic sterilization and dust removal air purification device and a light plasma air purification and sterilization device, and each of the light plasma air purification and sterilization devices contains a plurality of ultraviolet lamps and a plurality of plasma generators.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The present invention determines and selects accurate data according to the real-time data fault tolerance interval of the corresponding gas monitoring sensor, the abnormality of the data and the real-time event abnormality index of the corresponding gas monitoring sensor, ensures the accuracy of the air quality level analyzed by the system according to the accurate data, and then accurately and efficiently regulates the disinfection and purification device of the air conditioner, thereby achieving low carbon and energy saving while ensuring effective disinfection and purification;

[0039] The present invention performs secondary judgment on data that is not within the corresponding real-time data fault tolerance interval according to the real-time event abnormality index, and selects accurate data therefrom, thereby preventing data caused by actual environmental event changes from being mistakenly regarded as sensor abnormality, thereby improving the effectiveness of subsequent air quality analysis;

[0040] The present invention integrates the electrostatic sterilization and dust removal air purification device and the photoplasma air purification and sterilization device in each disinfection and purification module to share the same shell and support structure, thereby reducing the use of repeated structures, releasing more internal space, increasing the ventilation cross-sectional area, and thus reducing energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0043] Figure 1 It is a structural block diagram of a low-carbon and energy-saving large-scale ventilation, air-conditioning, disinfection and purification system of the present invention;

[0044] Figure 2 It is a structural diagram of a disinfection and purification device in a low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification system of the present invention;

[0045] Figure 3 It is a front structural diagram of a single disinfection and purification module in a low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification system of the present invention;

[0046] Figure 4 It is a back structural diagram of a single disinfection and purification device in a low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification system of the present invention. DETAILED DESCRIPTION

[0047] 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.

[0048] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0049] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0050] Embodiment 1

[0051] See also Figure 1 As shown, the present invention provides a low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification system, which specifically includes:

[0052] Multiple sensor module nodes, an accurate data analysis module, a disinfection and purification device, an air quality analysis module, a regulation module, and a central processing unit communicatively connected to the above modules.

[0053] Each sensor module node is provided with a sensor module, and each sensor module includes different types of gas monitoring sensors. Different types of gas monitoring sensors monitor different types of data. The types of the gas monitoring sensors include a PM2.5 sensor, a CO sensor, a VOCs sensor, and so on.

[0054] Each sensor module node is deployed at different positions in the area to be monitored according to requirements.

[0055] The accurate data analysis module is used to determine whether the data D monitored by each gas monitoring sensor is accurate data. Specifically:

[0056] Determine whether the data D is within the real-time data fault tolerance interval [DRC1, DRC2] of the corresponding gas monitoring sensor. If so, determine the data D as accurate data. If not, analyze whether the anomaly degree θ of the data is greater than the real-time event anomaly index α of the corresponding gas monitoring sensor. If so, determine the data D as accurate data. If not, determine the data D as inaccurate data.

[0057] In the real-time data fault tolerance interval [DRC1, DRC2]:

[0058]

[0059]

[0060] Among them, DRC1 represents the lower limit value of the corresponding real-time data fault tolerance interval, DRC2 represents the upper limit value of the corresponding real-time data fault tolerance interval, E represents the mathematical expectation of the measured value of the corresponding gas monitoring sensor in the normal area, which is obtained by pre-experimental calculation. Represents the preset minimum environmental interference factor. Represents the preset maximum environmental interference factor. Represents the data standard deviation corresponding to the data D in the corresponding sampling period of the corresponding gas monitoring sensor, and k represents the number of data obtained by the corresponding gas monitoring sensor in one sampling period.

[0061] The calculation method of the anomaly degree θ is:

[0062] If D < DRC1, then θ = (D - E) / (DRC2 - DRC1);

[0063] If D > DRC1, then θ = (E - D) / (DRC2 - DRC1).

[0064] The calculation method of the real-time event anomaly index α of the gas monitoring sensor is as follows:

[0065] If D < DRC1, then α = DRC2 / (DRC2 - DRC1);

[0066] If D > DRC1, then α = DRC1 / (DRC2 - DRC1).

[0067] The air quality analysis module is used to evaluate the air quality level of the current environment according to the accurate data obtained by the accurate data analysis module in the same sampling period of each gas monitoring sensor.

[0068] The disinfection and purification device is used to purify the incoming air of the air conditioner.

[0069] Refer to Figure 2 As shown, the disinfection and purification device includes a plurality of disinfection and purification modules, and the plurality of disinfection and purification modules are installed within the same metal support frame.

[0070] Refer to Figure 3 and Figure 4 As shown, each disinfection and purification module includes an electrostatic sterilization and dust removal air purification device and a photo-plasma air purification and sterilization device.

[0071] Each electrostatic sterilization and dust removal air purification device includes a washable pre-filter, a high-voltage electrostatic precipitator, and a post G4 electrostatic fiber plus activated carbon composite filter.

[0072] Each photo-plasma air purification and sterilization device contains a plurality of ultraviolet lamps, a plurality of plasma generators, and one or more photocatalyst meshes.

[0073] The plasma generator ionizes gas molecules in the air into charged particles, namely positive ions and negative ions, and these charged particles can adsorb particulate matter in the air, making it heavier and settling down, thereby reducing the suspended particles in the air and achieving the purpose of decomposing harmful substances; the ultraviolet lamp usually emits ultraviolet rays in the UV-C band and has strong sterilization ability, which can damage the DNA or RNA structure of microorganisms in the air and inactivate them. At the same time, the photocatalyst mesh is usually made of materials such as titanium dioxide. When ultraviolet light irradiates the photocatalyst mesh, it will excite electrons in the material to form electron-hole pairs. These electron-hole pairs react with oxygen and water vapor in the air to generate highly oxidizing free radicals, and these highly oxidizing free radicals can decompose harmful substances in the air, including organic pollutants (VOCs), bacteria, viruses, molds, etc.

[0074] In each disinfection and purification module, the electrostatic sterilization and dust removal air purification device and the photo plasma air purification and sterilization device are assembled in the same support frame, and the photo plasma air purification and sterilization device is embedded and connected to the back of the electrostatic sterilization and dust removal air purification device.

[0075] In the design of traditional large-scale ventilation, air-conditioning, disinfection and purification systems, different disinfection and purification components are usually designed with their own outer shells, flanges, mounting frames and other structures. These independent structures not only take up a large amount of space inside the air-conditioning unit, but also the assembly structure is not firm and tight enough, making the ventilation cross-sectional area of ​​the area smaller. The speed of air passing through the area will increase, resulting in increased resistance to air flow. In order to push air through a smaller ventilation cross-sectional area, the fan needs to provide greater pressure, increasing energy consumption.

[0076] Therefore, in this solution, the electrostatic sterilization and dust removal air purification device and the photo plasma air purification and sterilization device are designed to be integrated and share the same outer shell and supporting structure, thereby reducing the use of repeated structures, freeing up more internal space, increasing the ventilation cross-sectional area, and thus reducing energy consumption.

[0077] The control module is used to control the number of electrostatic sterilization and dust removal air purification devices in the disinfection and purification device that are turned on, and the number of ultraviolet lamps and plasma generators in the optical plasma air purification and sterilization device that are turned on through a preset control strategy according to the air quality level of the current environment.

[0078] The preset control strategy is manually set in advance according to the number of electrostatic sterilization and dust removal air purification devices and the total number of ultraviolet lamps and plasma generators in the photo plasma air purification and sterilization devices used in the disinfection and purification devices. The preset control strategy records the number of electrostatic sterilization and dust removal air purification devices and the number of ultraviolet lamps and plasma generators in the photo plasma air purification and sterilization devices that are turned on corresponding to each air quality level.

[0079] In some embodiments, the air quality analysis module evaluates the air quality level of the current environment according to the accurate data obtained by the accurate data analysis module from each gas monitoring sensor within the same sampling period, specifically:

[0080] Obtain the total number V1 of gas monitoring sensors and the threshold value of exceeding the standard corresponding to each type of data. The threshold value of exceeding the standard is preset manually. Different types of gas monitoring sensors monitor different types of data, and the corresponding threshold value of exceeding the standard is also different.

[0081] The accurate data obtained from each gas monitoring sensor in the same sampling period are respectively averaged;

[0082] The number V2 of gas monitoring sensors whose statistical mean is greater than the corresponding exceeding threshold value;

[0083] The ratio of V1 to V2 is used as the air quality level of the current environment, that is, the smaller the ratio, the smaller the air quality level and the worse the air quality.

[0084] In some embodiments, the control module also includes an operating platform, through which the staff can freely control the number of electric sterilization and dust removal air purification devices and the number of ultraviolet lamps and plasma generators of the optical plasma air purification and sterilization device.

[0085] Embodiment 2

[0086] The present invention also provides a low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification equipment, which adopts the above-mentioned low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification system, wherein the low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification equipment is composed of multiple disinfection and purification modules, and each disinfection and purification module includes an electrostatic sterilization and dust removal air purification device and a photo plasma air purification and sterilization device.

[0087] Each electrostatic sterilization and dust removal air purification device includes a washable pre-filter, a high-voltage electrostatic dust collector, and a post-filter of G4 electrostatic fiber plus activated carbon composite.

[0088] Each photo-plasma air purification and sterilization device contains four ultraviolet lamps, two plasma generators and two photocatalyst nets.

[0089] Embodiment 3

[0090] The present invention also provides a low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification method, which specifically comprises the following steps:

[0091] S1. Obtain monitoring data D through the gas monitoring sensor in each sensor module node according to a preset sampling period;

[0092] S2, judging whether each monitoring data D is accurate data;

[0093] S3, evaluating the air quality level of the current environment based on the accurate data obtained in the same sampling period of each gas monitoring sensor;

[0094] S4. According to the air quality level of the current environment, the number of electrostatic sterilization and dust removal air purification devices in the disinfection and purification device and the number of ultraviolet lamps and plasma generators in the optical plasma air purification and sterilization device that are turned on are controlled through a preset control strategy.

[0095] For step S1, each sensor module node is deployed at different positions in the area to be monitored according to requirements. Each sensor module node is equipped with a sensor module, and each sensor module includes different types of gas monitoring sensors. Different types of gas monitoring sensors monitor different types of data. The types of the gas monitoring sensors include PM2.5 sensors, CO sensors, VOCs sensors, and so on.

[0096] For step S2, it is judged whether each monitoring data D is accurate data. Specifically:

[0097] It is judged whether the data D is within the real-time data fault tolerance interval [DRC1, DRC2] of the corresponding gas monitoring sensor. If so, the data D is judged as accurate data. If not, it is analyzed whether the abnormality degree θ of the data is greater than the real-time event abnormality index α of the corresponding gas monitoring sensor. If so, the data D is judged as accurate data. If not, the data D is judged as inaccurate data.

[0098] In the real-time data fault tolerance interval [DRC1, DRC2]:

[0099]

[0100]

[0101] Among them, DRC1 represents the lower limit value of the corresponding real-time data fault tolerance interval, DRC2 represents the upper limit value of the corresponding real-time data fault tolerance interval, E represents the mathematical expectation of the measured value of the corresponding gas monitoring sensor in the normal area, which is obtained by pre-experiment calculation. represents the preset minimum environmental interference factor. represents the preset maximum environmental interference factor. represents the data standard deviation corresponding to the data D in the corresponding sampling period of the corresponding gas monitoring sensor, and k represents the number of data obtained by the corresponding gas monitoring sensor in one sampling period.

[0102] The calculation method of the abnormality degree θ is as follows:

[0103] If D < DRC1, then θ = (D - E) / (DRC2 - DRC1);

[0104] If D > DRC1, then θ = (E - D) / (DRC2 - DRC1).

[0105] The calculation method of the real-time event abnormality index α of the gas monitoring sensor is as follows:

[0106] If D < DRC1, then α = DRC2 / (DRC2 - DRC1);

[0107] If D>DRC1, then α=DRC1 / (DRC2-DRC1).

[0108] For step S4, the disinfection and purification device includes a plurality of disinfection and purification modules.

[0109] Each of the disinfection and purification modules includes an electrostatic sterilization and dust removal air purification device and a light plasma air purification and sterilization device;

[0110] Each of the electrostatic sterilization and dust removal air purification devices comprises a washable pre-filter, a high-voltage electrostatic dust collector, and a post-filter of G4 electrostatic fiber plus activated carbon composite.

[0111] Each of the photo-plasma air purification and sterilization devices contains a plurality of ultraviolet lamps, a plurality of plasma generators and one or more photocatalyst nets.

[0112] The preset control strategy is manually set in advance according to the number of electrostatic sterilization and dust removal air purification devices and the total number of ultraviolet lamps and plasma generators in the photo plasma air purification and sterilization devices used in the disinfection and purification devices. The preset control strategy records the number of electrostatic sterilization and dust removal air purification devices and the number of ultraviolet lamps and plasma generators in the photo plasma air purification and sterilization devices that are turned on corresponding to each air quality level.

[0113] In some embodiments, step S3 specifically includes the following steps:

[0114] T1, obtaining the total number V1 of gas monitoring sensors and the threshold value of exceeding the standard corresponding to each type of data, wherein the threshold value of exceeding the standard is preset manually, and different types of gas monitoring sensors monitor different types of data, and the corresponding threshold value of exceeding the standard is also different;

[0115] T2. Calculate the average value of the accurate data obtained from each gas monitoring sensor in the same sampling period;

[0116] T3, the number of gas monitoring sensors whose statistical mean is greater than the corresponding exceeding threshold value V2;

[0117] T4. The ratio of V1 to V2 is used as the air quality level of the current environment, that is, the smaller the ratio, the smaller the air quality level and the worse the air quality.

[0118] Embodiment 3

[0119] The present invention also provides an electronic device, including: a processor, a sending device, an input device, an output device and a memory. The processor can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit, or one or more integrated circuits, and is used to execute relevant programs to implement the technical solution provided in the embodiment of the present application. The memory can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device or a random access memory (RAM), and is used to store computer program code. The computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes a method as described in any of the above possible implementation methods.

[0120] Embodiment 4

[0121] The present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes a method as described in any possible implementation manner.

[0122] The beneficial effects of the present invention are:

[0123] The present invention determines and selects accurate data according to the real-time data fault tolerance interval of the corresponding gas monitoring sensor, the abnormality of the data and the real-time event abnormality index of the corresponding gas monitoring sensor, ensures the accuracy of the air quality level analyzed by the system according to the accurate data, and then accurately and efficiently regulates the disinfection and purification device of the air conditioner, thereby achieving low carbon and energy saving while ensuring effective disinfection and purification;

[0124] The present invention performs secondary judgment on data that is not within the corresponding real-time data fault tolerance interval according to the real-time event abnormality index, and selects accurate data therefrom, thereby preventing data caused by actual environmental event changes from being mistakenly regarded as sensor abnormality, thereby improving the effectiveness of subsequent air quality analysis;

[0125] The present invention integrates the electrostatic sterilization and dust removal air purification device and the photoplasma air purification and sterilization device in each disinfection and purification module to share the same shell and support structure, thereby reducing the use of repeated structures, releasing more internal space, increasing the ventilation cross-sectional area, and thus reducing energy consumption.

[0126] In the description of the specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0127] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially 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, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method of each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (RandomAccess Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0128] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A low-carbon and energy-saving large-scale ventilation, air-conditioning, disinfection and purification system, characterized in that: Including: Multiple sensor module nodes, each sensor module node is provided with a sensor module, and each sensor module includes gas monitoring sensors of different types; An accurate data analysis module, which is used to judge whether the data D monitored by each gas monitoring sensor is accurate data. Specifically: Judge whether the data D is within the real-time data fault tolerance interval [DRC1, DRC2] of the corresponding gas monitoring sensor. If so, judge the data D as accurate data. If not, analyze whether the abnormality degree θ of the data is greater than the real-time event abnormality index α of the corresponding gas monitoring sensor. If so, judge the data D as accurate data. If not, judge the data D as inaccurate data, where DRC1 represents the lower limit value of the corresponding real-time data fault tolerance interval, and DRC2 represents the upper limit value of the corresponding real-time data fault tolerance interval; An air quality analysis module, which is used to evaluate the air quality level of the current environment according to the accurate data obtained by the accurate data analysis module in the same sampling period of each gas monitoring sensor; A disinfection and purification device, which is used to purify the incoming air of the air conditioner; the disinfection and purification device includes multiple disinfection and purification modules, each disinfection and purification module includes an electrostatic sterilization and dust removal air purification device and a photo-plasma air purification and sterilization device, and each photo-plasma air purification and sterilization device contains multiple ultraviolet lamps and multiple plasma generators; A regulation module, which is used to control the number of electrostatic sterilization and dust removal air purification devices turned on in the disinfection and purification device and the number of ultraviolet lamps and plasma generators turned on in the photo-plasma air purification and sterilization device according to the air quality level of the current environment through a preset regulation strategy; The calculation method of the real-time data fault tolerance interval is specifically: ； ； Where E represents the mathematical expectation of the measured value of the corresponding gas monitoring sensor in the normal area, Expressed as the preset minimum environmental interference factor, Expressed as the preset maximum environmental interference factor, It is represented by the standard deviation of the data corresponding to the corresponding sampling period of the corresponding gas monitoring sensor where the corresponding data D is located, and k is represented by the number of data obtained by the corresponding gas monitoring sensor in one sampling period; The calculation method of the abnormality degree θ is specifically: if D < DRC1, then θ = (D - E) / (DRC2 - DRC1); if D > DRC1, then θ = (E - D) / (DRC2 - DRC1); The calculation method of the real-time event abnormality index α is specifically: if D < DRC1, then α = DRC2 / (DRC2 - DRC1); if D > DRC1, then α = DRC1 / (DRC2 - DRC1).

2. The low-carbon and energy-saving large-scale ventilation, air-conditioning, disinfection and purification system according to claim 1 is characterized in that: In each disinfection and purification module, the photo-plasma air purification and sterilization device is inlaid and connected to the back of the electrostatic sterilization and dust removal air purification device.

3. The low-carbon and energy-saving large-scale ventilation, air-conditioning, disinfection and purification system according to claim 1 is characterized in that: The preset regulation strategy is pre-set manually according to the number of electrostatic sterilization and dust removal air purification devices included in the used disinfection and purification device, the total number of ultraviolet lamps and the total number of plasma generators of the photo-plasma air purification and sterilization device. The preset regulation strategy records the number of electrostatic sterilization and dust removal air purification devices turned on corresponding to each air quality level, as well as the number of ultraviolet lamps and plasma generators of the photo-plasma air purification and sterilization device.

4. The low-carbon and energy-saving large-scale ventilation, air-conditioning, disinfection and purification system according to claim 1 is characterized in that: The air quality analysis module evaluates the air quality level of the current environment according to the accurate data obtained by the accurate data analysis module from each gas monitoring sensor in the same sampling period. Specifically: Obtain the total number V1 of gas monitoring sensors and the over-standard thresholds corresponding to each type of data. The over-standard thresholds are preset manually. Different types of gas monitoring sensors monitor different types of data and have different corresponding over-standard thresholds. Calculate the mean value of the accurate data obtained from each gas monitoring sensor within the same sampling period. Count the number V2 of gas monitoring sensors whose mean value is greater than the corresponding over-standard threshold. Use the ratio of V1 to V2 as the air quality grade of the current environment.

5. A low-carbon and energy-saving large-scale ventilation, air-conditioning, disinfection and purification equipment, characterized in that: The large low-carbon energy-saving ventilation and air-conditioning disinfection and purification equipment adopts the large low-carbon energy-saving ventilation and air-conditioning disinfection and purification system according to any one of claims 1 to 4. Among them, the large low-carbon energy-saving ventilation and air-conditioning disinfection and purification equipment is composed of multiple disinfection and purification modules, and each disinfection and purification module includes an electrostatic sterilization and dust removal air purification device and a photo-plasma air purification and sterilization device.

6. A low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification method, applied to the low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification system according to any one of claims 1 to 4, characterized in that: Include the following steps: Obtain the monitoring data D through the gas monitoring sensors in each sensor module node according to the preset sampling period. Judge whether each monitoring data D is accurate data. Evaluate the air quality grade of the current environment according to the accurate data obtained in the same sampling period of each gas monitoring sensor. According to the air quality grade of the current environment, control the number of electrostatic sterilization and dust removal air purification devices and the number of ultraviolet lamps and plasma generators of the photo-plasma air purification and sterilization devices in the disinfection and purification device through the preset regulation strategy. The judgment of whether each monitoring data D is accurate data is specifically: Judge whether the data D is within the real-time data fault tolerance interval [DRC1, DRC2] of the corresponding gas monitoring sensor. If so, judge the data D as accurate data. If not, analyze whether the abnormality degree θ of the data is greater than the real-time event abnormality index α of the corresponding gas monitoring sensor. If so, judge the data D as accurate data. If not, judge the data D as inaccurate data, where DRC1 represents the lower limit value of the corresponding real-time data fault tolerance interval, and DRC2 represents the upper limit value of the corresponding real-time data fault tolerance interval. The calculation method of the real-time data fault tolerance interval is specifically: ； ； Where E represents the mathematical expectation of the measured value of the corresponding gas monitoring sensor in the normal area, Expressed as the preset minimum environmental interference factor, Expressed as the preset maximum environmental interference factor, It is represented by the standard deviation of the data corresponding to the corresponding sampling period of the corresponding gas monitoring sensor where the corresponding data D is located, and k is represented by the number of data obtained by the corresponding gas monitoring sensor in one sampling period; The calculation method of the abnormality degree θ is specifically: if D < DRC1, then θ = (D - E) / (DRC2 - DRC1); if D > DRC1, then θ = (E - D) / (DRC2 - DRC1). The calculation method of the real-time event abnormality index α is specifically: if D < DRC1, then α = DRC2 / (DRC2 - DRC1); if D > DRC1, then α = DRC1 / (DRC2 - DRC1).

7. The low-carbon and energy-saving large-scale ventilation and air-conditioning disinfection and purification method according to claim 6 is characterized in that: The disinfection and purification device includes multiple disinfection and purification modules. Each disinfection and purification module includes an electrostatic sterilization and dust removal air purification device and a photo-plasma air purification and sterilization device. Each photo-plasma air purification and sterilization device contains multiple ultraviolet lamps and multiple plasma generators.

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