Automatic control method and system for multi-environment equipment and air purifier

Abstract

The present invention discloses an automatic control method and system for multi-environment equipment and an air purifier, and relates to the field of automatic control technology. The main scheme is: calculate and generate a purification correction time value #imgabs0# and a tolerance time coefficient #imgabs1# through building information data, environmental information data and physical health data, and use the tolerance time coefficient #imgabs2# to correct the purification correction time value #imgabs3# to generate an optimal purification time value #imgabs4#; compare the optimal purification time value #imgabs5# with the purification tolerance time threshold #imgabs6#, and execute different schemes according to the judgment result; select a suitable control scheme according to the judgment result obtained from the data, so as to avoid the problem of energy waste and frequent start and stop caused by multiple purification devices being fully turned on from beginning to end; and select a suitable working scheme according to the physical health condition of the user, so as to reduce the safety hazards of the user during the air purification operation and improve the safety of use.

Description

Technical Field

[0001] The present invention relates to the field of automation control technology, and in particular to an automation control method and system for multi-environment equipment and an air purifier. Background Art

[0002] The air quality issue is one of the important challenges currently facing the field of environmental protection. The quality of air is directly related to human survival and development, and has a profound impact on people's health, economy and ecological environment. Poor air quality will have serious negative effects on people's health. When people breathe air, they will inhale various gases, particulate matter and microorganisms in the air. Long-term inhalation of pollutants will lead to a variety of health problems, such as respiratory diseases, cardiovascular diseases, cancer, etc.

[0003] As people pay more and more attention to their living environment and their awareness of environmental risk factors increases, in order to improve risk factors in a targeted manner, they usually purchase a variety of air purification devices to improve different types of air pollution; however, current air purification devices usually have multiple purification functions, which will cause duplication of functions of multiple purification devices. When using automatic control instructions for control, it is impossible to perform refined control and management according to actual usage needs, resulting in energy waste.

[0004] In the Chinese invention application with application publication number CN112612213B, an automatic control method, system, medium and air purifier for multi-environment equipment are disclosed. The main scheme is: the server integrates the equipment functions, coordinates the functional modules of each equipment, generates a function tree diagram using equipment information, and sets priorities through the function tree diagram; obtains environmental data; classifies and processes the acquired environmental data; the equipment sends a trigger signal to the server based on real-time environmental data to generate a digital signal table; the server generates system automatic control instructions; the automatic control instructions selectively drive the equipment intelligently. Make the operation between equipment more standardized, avoid the heavy use of equipment in the same scenario; when a function can purify a wide range of objects, it can be used selectively to avoid energy waste caused by multiple devices being turned on at the same time.

[0005] In view of the above invention, the prior art has the following deficiencies:

[0006] In the above scheme, only the energy saving problem of purification equipment is taken into consideration, the function is still relatively simple, and the control selectivity is less. There are still great defects in the actual use process, such as: ignoring the physical factors of the user. When there are physical diseases or sensitive people, the user cannot be exposed to the environment with pollution factors for a long time. Especially when the indoor pollution problem is more serious, only considering energy consumption is not the best option, because during the air purification period, people in the room will be exposed to the bad environment for a long time, which will inevitably cause damage to the body and cause safety problems. Summary of the invention

[0007] 1. Technical issues to be solved

[0008] In view of the shortcomings of the prior art, the present invention provides an automated control method for multi-environment equipment, which calculates and generates an optimal purification time value HV through building information data, environmental information data and physical health data; compares the optimal purification time value HV with the purification tolerance time threshold HQ, and executes different plans based on the judgment results, aiming to solve the problem that traditional control methods only save energy but cannot intervene in the control plan of purification equipment according to the user's physical factors, resulting in safety hazards.

[0009] (II) Technical solution

[0010] To achieve the above objectives, the present invention is implemented through the following technical solutions: an automatic control method for multi-environment equipment, comprising the following steps:

[0011] Obtain building information data of the equipment location, relevant data of the purification equipment, environmental information data and health data collected by the purification equipment; environmental information data includes relevant data of various factors to be purified;

[0012] The purification correction time value HP and the tolerance time coefficient HT are calculated and generated through the building information data, the environmental information data and the health data, and the purification correction time value HP is corrected by the tolerance time coefficient HT to generate the optimal purification time value HV;

[0013] The purification tolerance time threshold HQ is preset, and the optimal purification time value HV is compared with the purification tolerance time threshold HQ. Different solutions are executed according to the judgment results, specifically:

[0014] When the condition of the optimal purification time value HV ≥ purification tolerance time threshold HQ is met, plan 1 is executed. Plan 1 can purify different factors to be purified in turn through a number of purification devices; when each factor to be purified is reduced to a low pollution threshold, a purification device with a corresponding purification function is retained to continue the purification operation until the factor to be purified meets the health threshold;

[0015] When the condition that the optimal purification time value HV is less than the purification tolerance time threshold HQ is met, the second scheme is executed. Specifically, for each factor to be purified, a purification device with a corresponding purification function is turned on until the factor to be purified meets the health threshold.

[0016] Preferably, in the above-mentioned automatic control method of multi-environment equipment, the method for generating the purification correction time value HP is:

[0017] The average values ​​of the various factors to be purified are calculated based on the relevant data of the various factors to be purified, the health threshold values ​​of the various factors to be purified are preset, the average values ​​of the different factors to be purified and the health threshold values ​​are calculated by difference, and the reduction amount of the factors to be purified for each factor to be purified is generated; the total purification efficiency of the purification equipment for the different factors to be purified is calculated based on the relevant data of the purification equipment, and the reduction amount of the factors to be purified for each factor to be purified and the corresponding total purification efficiency are calculated by quotient calculation to generate the purification time value for each factor to be purified, and the purification time values ​​of the different factors to be purified are added to generate the total purification time value; the purification time coefficient is preset, and the total purification time value is corrected by the purification time coefficient to generate the purification correction time value HP.

[0018] Preferably, in the above-mentioned automated control method for multi-environment equipment, the multiple factors to be purified include at least air humidity RH, air temperature T, particulate matter content PM in the air and harmful gas concentration PC; and the priority levels are harmful gas concentration PC>particulate matter content PM in the air>air temperature T>air humidity RH.

[0019] Preferably, in the above-mentioned automatic control method for multi-environment equipment, the specific method for generating the tolerance time coefficient HT is:

[0020] According to the building information data and the environmental information data collected by the purification equipment, the pollution average coefficient WR1, the pollution maximum coefficient WR2, the total number of people SW1 and the number of polluted people SW2 are generated; the environmental pollution index WR3 is generated by the pollution average coefficient WR1 and the pollution maximum coefficient WR2, and the formula is as follows:

[0021] WR3=γ1×WR1+γ2×WR2

[0022] Wherein: γ1 is the weight coefficient of the pollution average value coefficient WR1; γ2 is the weight coefficient of the pollution maximum value coefficient WR2, γ1 and γ2 are both positive numbers, and γ1+γ2=1;

[0023] By formula Calculate the pollution person-time coefficient SW3;

[0024] The pollution hazard index WR4 is calculated by the formula WR4 = WR3 × SW3;

[0025] The physical health data includes medical history D1, physical symptoms D2, physical examination D3, lung function test D4, blood gas analysis test D5, and the human health coefficient is calculated based on the physical health data. The formula is:

[0026] HC=D1×ω1+D2×ω2+D3×ω3+D4×ω4+D5×ω5

[0027] Among them: HC is the human health coefficient; ω1 is the weight coefficient of medical history D1, and the value range of ω1 is 0.2-0.3; ω2 is the weight coefficient of physical symptoms D2, and the value range of ω2 is 0.15-0.25; ω3 is the weight coefficient of physical examination D3, and the value range of ω3 is 0.15-0.25; ω4 is the weight coefficient of pulmonary function test D4, and the value range of ω4 is 0.3-0.4; ω5 is the weight coefficient of blood gas analysis D5, and the value range of ω5 is 0.15-0.25;

[0028] The tolerance time coefficient HT is generated by the human health coefficient HC and the pollution hazard index WR4.

[0029] Preferably, in the above-mentioned automatic control method of multiple environment equipment, the installation locations of multiple purification equipment are marked as different areas according to the building information data, and the air humidity RH, air temperature T, particulate matter content PM, and harmful gas concentration PC in multiple areas are detected by multiple purification equipment respectively, and the average air humidity RH is calculated according to the detection data. p , average air temperature T p , average PM content in the air p , average concentration of harmful gases PC p , the formulas are as follows:

[0030]

[0031] In the above formula: i=1, 2, 3, ..., n, i represents the area number divided according to the building information data, i represents the i-th area, and n represents the number of items in the area.

[0032] Preferably, in the above-mentioned automatic control method of multi-environment equipment, the average air humidity RH p , average air temperature T p , average PM content in the air p , average concentration of harmful gases PC p Preprocess them respectively, mark the generated data as RHY, TY, PMY and PCY respectively, and substitute them into the formula:

[0033] WR1=λ1×RHY+λ2×TY+λ3×PMY+λ4×PCY

[0034] Among them: WR1 is the pollution average coefficient; λ1 is the weight coefficient of RHY, which is 0.1-0.3; λ2 is the weight coefficient of TY, which is 0.1-0.3; λ3 is the weight coefficient of PMY, which is 0.2-0.5; λ4 is the weight coefficient of PCY, which is 0.2-0.5; and λ1+λ2+λ3+λ4=1;

[0035] Get the maximum air humidity RH from the environmental information data m , maximum air temperature T m , the maximum value of particulate matter in the air is PM m and the maximum concentration of harmful gases PC m , the data generated after data preprocessing are marked as RHG, TG, PMG and PCG, and the maximum pollution coefficient WR2 is calculated as follows:

[0036] WR2=α1×RHG+α2×TG+α3×PMG+α4×PCG

[0037] Among them: α1 is the weight coefficient of RHG, which takes a value of 0.1~0.3; α2 is the weight coefficient of TG, which takes a value of 0.15~0.25; α3 is the weight coefficient of PMG, which takes a value of 0.25~0.5; α4 is the weight coefficient of PCG, which takes a value of 0.3~0.5; and α1+α2+α3+α4=1.

[0038] Preferably, in the above-mentioned automatic control method of multi-environment equipment, the tolerance time coefficient HT is generated by the human health coefficient HC and the pollution hazard index WR4, and the formula is as follows:

[0039]

[0040] Where: α is the adjustment coefficient.

[0041] Preferably, in the above-mentioned automated control method for multi-environment equipment, Scheme 1 is specifically as follows: multiple factors to be purified are marked with different priorities, and all purification devices with corresponding purification functions are turned on to perform purification operations for the factors to be purified with the first priority first, and the remaining purification devices turn on the corresponding purification functions for the factors to be purified with the second priority. Purification devices that still do not have the above purification functions turn on the purification functions of the corresponding next-level factors to be purified in turn until all purification devices are turned on at the same time; and the environmental data is detected in real time. When the factors to be purified with the first priority drop to a low pollution threshold, only one of the purification devices is retained to continue the purification operation, and the remaining purification devices adjust the function options and turn on the purification functions corresponding to the factors to be purified with the second priority until all the factors to be purified drop to the low pollution threshold, and only one purification device corresponding to different factors to be purified is turned on to continue the purification operation until the factors to be purified meet the health threshold.

[0042] The present invention also discloses an automatic control system for multi-environment equipment, which is used to implement the above automatic control method, including:

[0043] A data acquisition module is used to acquire building information data, relevant data of purification equipment, environmental information data collected by purification equipment, and physical health data;

[0044] The information processing module calculates and generates a purification correction time value HP and a tolerance time coefficient HT based on the building information data, the relevant data of the purification equipment, the environmental information data collected by the purification equipment, and the health data, and uses the tolerance time coefficient HT to correct the purification correction time value HP to generate an optimal purification time value HV;

[0045] The analysis and execution module can compare the optimal purification time value HV with the preset purification tolerance time threshold HQ to obtain a judgment result; and execute different plans according to the judgment result.

[0046] The invention also discloses an air purifier for implementing the above automatic control method.

[0047] (III) Beneficial effects

[0048] The present invention provides an automatic control method and system for multi-environment equipment and an air purifier, which have the following beneficial effects:

[0049] (1) By combining building information data, purification equipment-related data, environmental information data collected by purification equipment, and health data, etc., and selecting an appropriate control scheme based on the judgment results obtained from the data, it is possible to avoid the problem of energy waste caused by multiple purification equipment being turned on from beginning to end; it is also possible to select a more appropriate working plan based on the user's health condition, reduce the safety hazards of users during air purification operations, and improve safety of use;

[0050] (2) Based on the building information data, the areas with the maximum values ​​of different factors to be purified can be distinguished, and the corresponding purification equipment can be turned on in a targeted manner to quickly reduce the factors to be purified in high-risk areas, which is conducive to improving purification efficiency and avoiding energy waste caused by indiscriminately turning on purification equipment;

[0051] (3) The required purification time is calculated based on the numerical value of the factors to be purified, and the user's physical data is evaluated to obtain the most suitable air purification plan for the user, which can minimize the energy consumption of the purification equipment while ensuring the safety and comfort of the user, and is more conducive to energy conservation;

[0052] (4) Controlling the working status of multiple purification devices according to the selected solution can avoid frequent start and stop of multiple purification devices during operation, save energy, and extend the service life of the purification devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic diagram of the steps of the automatic control method of the multi-environment equipment of the present invention. DETAILED DESCRIPTION

[0054] 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.

[0055] See also Figure 1 The present invention provides an automatic control method for multi-environment equipment, comprising the following steps:

[0056] Step 1: Obtain the building information data of the equipment location, the relevant data of the purification equipment, the environmental information data and health data collected by the purification equipment; the environmental information data includes the relevant data of various factors to be purified;

[0057] Step one includes the following steps:

[0058] Step 101: Acquire building information data of a house where the purification equipment is located, and divide the house into regions according to the building information data, such as marking different regions as 1, 2, 3, ..., n respectively; the building information data at least includes a building design drawing;

[0059] Step 102: Acquire installation location data of multiple purification devices, associate them with the areas after the house is divided, and mark the area where each purification device is located.

[0060] Step 103: Number the purification devices respectively, such as J1, J2, J3...Jn;

[0061] Step 104: Obtain power data and function data of multiple purification devices, number the purification devices according to their function data, and mark the same functions of different purification devices with the same number; such as fresh air function, purification power, dust removal function, sterilization function, formaldehyde control and others; mark the above functions as G1, G2, G3...Gn; and mark the corresponding function tree diagram for each purification device;

[0062] It should be noted that the purification equipment can be equipment with air purification function such as air conditioners, air purifiers, air humidifiers, air ionizers and fresh air fans; the power data and function data of the purification equipment can be obtained by consulting the manufacturer or from the instruction manual; the same purification device can have multiple functions, for example, the purification device J1 includes air purification functions G1, G2, and G3; the purification device J2 includes air purification functions G1 and G3; the purification device Jn includes air purification functions G1, G2, and Gn, etc., and a function tree diagram is marked for each purification device.

[0063] Step 105: Acquire environmental information data, which at least includes air humidity RH, air temperature T, particulate matter content PM in the air, and harmful gas concentration PC waiting for purification factors; specifically: use multiple purification devices to detect environmental information such as air humidity RH, air temperature T, particulate matter content PM in the air, and harmful gas concentration PC in multiple areas, and the maximum air humidity is marked as RH m , the maximum air temperature is marked as T m The maximum amount of particulate matter in the air is marked as PM m , the maximum concentration of harmful gases is marked as PC m ; and mark the areas where the maximum values ​​of different factors to be purified are located in the environmental information data;

[0064] Step 106: Obtaining physical health data, which at least includes medical history D1, physical symptoms D2, physical examination D3, lung function test D4, blood gas analysis D5, etc.;

[0065] When using, combine the contents of step 101 to step 106:

[0066] By obtaining the structure and layout of the building and the location layout of the purification equipment, the status of the environmental factors in the building and the physical condition of the people in the building can be displayed to the greatest extent, providing a basis for efficient and automated control of purification equipment.

[0067] Step 2: Calculate and generate the purification correction time value HP and the tolerance time coefficient HT through the building information data, environmental information data and health data, and use the tolerance time coefficient HT to correct the purification correction time value HP to generate the optimal purification time value HV;

[0068] Step 2 includes the following:

[0069] Step 201: Calculate the average air humidity RH using the average calculation formula p , average air temperature T p , average PM content in the air p And the average concentration of harmful gases PC p , the formulas are as follows:

[0070]

[0071] In the above formula: i=1, 2, 3, ..., n, i represents the area number divided according to the building information data, i represents the i-th area, and n represents the number of items in the area;

[0072] Step 202: Average air humidity RH p , average air temperature T p , average PM content in the air p , average concentration of harmful gases PC p Perform Z-score standardization in data preprocessing respectively, mark the generated data as RHY, TY, PMY and PCY respectively, and substitute them into the formula:

[0073] WR1=λ1×RHY+λ2×TY+λ3×PMY+λ4×PCY

[0074] Wherein: WR1 is the pollution average coefficient; λ1 is the weight coefficient of RHY, which can be 0.1-0.3, preferably 0.15; λ2 is the weight coefficient of TY, which can be 0.1-0.3, preferably 0.15; λ3 is the weight coefficient of PMY, which can be 0.2-0.5, preferably 0.35; λ4 is the weight coefficient of PCY, which can be 0.2-0.5, preferably 0.35; λ1+λ2+λ3+λ4=1;

[0075] It should be noted that Z-score standardization is also called standardized score, which is based on the mean and standard deviation of the original data to transform the data into a distribution with a mean of 0 and a standard deviation of 1.

[0076] Step 203: Mark the maximum air humidity as RH m The maximum air temperature is marked as T m The maximum amount of particulate matter in the air is marked as PM m And the maximum concentration of harmful gases is marked as PC m The normalization process in data preprocessing is performed, and the generated data are marked as RHG, TG, PMG and PCG, and the maximum pollution coefficient WR2 is calculated and generated. The formula is as follows:

[0077] WR2=α1×RHG+α2×TG+α3×PMG+α4×PCG

[0078] Wherein: α1 is the weight coefficient of RHG, which can be 0.1-0.3, preferably 0.15; α2 is the weight coefficient of TG, which can be 0.15-0.25, preferably 0.15; α3 is the weight coefficient of PMG, which can be 0.25-0.5, preferably 0.35; α4 is the weight coefficient of PCG, which can be 0.3-0.5, preferably 0.35; and α1+α2+α3+α4=1;

[0079] Step 204: Perform weighted calculation on the pollution average coefficient WR1 and the pollution maximum coefficient WR2 to generate an environmental pollution index WR3, the formula is as follows:

[0080] WR3=γ1×WR1+γ×2WR2

[0081] Wherein: γ1 is the weight coefficient of the pollution average value coefficient WR1; γ2 is the weight coefficient of the pollution maximum value coefficient WR2, γ1 and γ2 are both positive numbers, and γ1+γ2=1, such as γ1 is 0.6, and γ2 is 0.4; the specific values ​​of γ1 and γ2 can be adjusted according to the actual scenario.

[0082] Step 205: Obtain the personnel ratio coefficient in the area where the maximum values ​​of different factors to be purified are located; specifically: record the total number of people SW1 in all areas during the cycle time, record the number of polluted people SW2 in the area with the maximum values ​​of different factors to be purified during the cycle time, and calculate the polluted person coefficient SW3, the formula is as follows:

[0083]

[0084] Among them, the cycle time can be adjusted according to specific circumstances, such as being set to 1 to 24 hours;

[0085] Step 206: Substitute the pollution person-time coefficient SW3 and the environmental pollution index WR3 into the correction formula to generate the pollution hazard index WR4, the formula is as follows:

[0086] WR4 = WR3 × SW3;

[0087] Step 207: Generate a human health coefficient HC according to the physical health data, specifically:

[0088] According to the medical history D1, physical symptoms D2, physical examination D3, lung function test D4, blood gas analysis test D5, the human health coefficient HC is calculated; the formula is as follows:

[0089] HC=D1×ω1+D2×ω2+D3×ω3+D4×ω4+D5×ω5

[0090] Wherein: ω1 is the weight coefficient of medical history D1, and the value range of ω1 can be 0.2-0.3, preferably 0.2; ω2 is the weight coefficient of physical symptom D2, and the value range of ω2 can be 0.15-0.25, preferably 0.15; ω3 is the weight coefficient of physical examination D3, and the value range of ω3 can be 0.15-0.25, preferably 0.15; ω4 is the weight coefficient of pulmonary function test D4, and the value range of ω4 can be 0.3-0.4, preferably 0.3; ω5 is the weight coefficient of blood gas analysis test D5, and the value range of ω5 can be 0.15-0.25, preferably 0.2;

[0091] Step 208: Generate a tolerance time coefficient HT according to the pollution hazard index WR4 and the human health coefficient HC, and the formula is as follows:

[0092]

[0093] Wherein: α is the adjustment coefficient, which is used to control the influence of the pollution hazard index WR4 and the human health coefficient HC on the tolerance time coefficient HT. A larger α value will make the tolerance time coefficient HT more sensitive to the changes of the pollution hazard index WR4 and the human health coefficient HC. The value range of α is 1 to 3, preferably 2; log 10 (HC+1) is the logarithm of the human health coefficient HC plus 1 to the base 10, which helps to convert the larger value of the human health coefficient HC into a smaller value range, thereby avoiding extreme changes in the tolerance time coefficient HT; the expression log 10 (HC+1) is added to 1, and the inverse of the result of the above calculation is taken; it is ensured that the tolerance time coefficient HT is always between 0 and 1, wherein a larger pollution hazard index WR4 or human health coefficient HC will result in a smaller tolerance time coefficient HT value, i.e. a shorter tolerance time; the parameters in the above formula can be adjusted according to actual usage;

[0094] Step 209: Preset health thresholds of multiple factors to be purified, and calculate the reduction of different factors to be purified by using the average values ​​of different factors to be purified and the corresponding health thresholds; specifically, set corresponding health thresholds for different factors to be purified, such as air humidity health threshold, air temperature health threshold, particulate matter content health threshold and harmful gas concentration health threshold; calculate the reduction of different factors to be purified by using the average value of air humidity RH p Subtract the air humidity health threshold to obtain the air humidity loss; similarly, the average air temperature T p Subtract the air temperature health threshold to obtain the air temperature loss; the average PM content in the air p Subtract the healthy threshold of particulate matter content to obtain the reduction of particulate matter content; the average concentration of harmful gases PC p Subtract the health threshold of harmful gas concentration to obtain the reduction amount of harmful gas concentration;

[0095] It should be noted that the health thresholds of different factors to be purified can be set according to the influence of different factors to be purified on physical health. The specific information can be obtained by consulting a doctor, checking health journals, professional papers, etc., and then adjusted according to the actual usage scenario;

[0096] Step 210: Calculate the total purification efficiency of multiple purification devices for different factors to be purified according to the types of factors to be purified that need to be processed; specifically: obtain the rated working efficiency of the corresponding functions of multiple purification devices by asking the manufacturer or from the product manual; calculate the sum of the purification efficiencies of all purification devices when all purification devices start the same purification function, including the sum of the purification efficiencies of air humidity, the sum of the purification efficiencies of air temperature, the sum of the purification efficiencies of particulate matter content in the air, and the sum of the purification efficiencies of harmful gas concentrations;

[0097] Step 211: Calculate the purification time values ​​of different factors to be purified; specifically, divide the air humidity loss by the sum of the purification efficiencies of the air humidity to obtain the purification time value of the air humidity; divide the air temperature loss by the sum of the purification efficiencies of the air temperature to obtain the purification time value of the air temperature; divide the air particulate matter content loss by the sum of the purification efficiencies of the air particulate matter content to obtain the purification time value of the air particulate matter content; divide the harmful gas concentration loss by the sum of the purification efficiencies of the harmful gas concentration to obtain the purification time value of the harmful gas concentration in the air;

[0098] Step 212: Calculate the purification correction time value HP through the purification time values ​​of different factors to be purified. The specific scheme is: add the purification time value of air temperature, the purification time value of air humidity, the purification time value of particulate matter content in the air and the purification time value of harmful gas concentration to generate the total purification time value; preset the purification time coefficient, calculate the product of the total purification time value and the purification time coefficient, and generate the purification correction time value HP;

[0099] It should be noted that during actual purification operations, when the first-priority factor to be purified drops to a low pollution threshold, one purification device will be retained to continue operating, and so on. It cannot be guaranteed that all purification devices will operate at full power for the same factor to be purified at the same time. Therefore, the total purification time is shorter than the actual purification time; therefore, it is necessary to correct it through the purification time coefficient. The purification time coefficient can be obtained by recording the time required for several actual purification operations and dividing it by the calculated total purification time to obtain several coefficients, and then averaging the several coefficients to obtain a purification time coefficient with a smaller deviation.

[0100] Step 213: Calculate the optimal purification time value HV by using the tolerance time coefficient HT and the purification correction time value HP; the formula is as follows:

[0101] HV=HP×HT

[0102] When used, by combining the contents of step 211 to step 213:

[0103] According to the building information data, the areas with the maximum values ​​of different factors to be purified can be distinguished, and the corresponding purification equipment can be turned on in a targeted manner to quickly reduce the factors to be purified in high-risk areas, which is conducive to improving purification efficiency and avoiding energy waste caused by indiscriminately turning on purification equipment;

[0104] The required purification time is calculated based on the numerical values ​​of the factors to be purified, and an evaluation is conducted based on the user's physical data to arrive at the most suitable air purification plan for the user. This can minimize the energy consumption of the purification equipment while ensuring the user's safety and comfort, and is more conducive to saving energy.

[0105] Step 3: Preset the purification tolerance time threshold HQ, compare the optimal purification time value HV with the purification tolerance time threshold HQ, and execute different plans according to the judgment result;

[0106] It should be noted that the purification tolerance time threshold HQ can be adjusted according to the specific user population; for example, multiple tests can be conducted, and different groups of people can be selected and placed in the test environment. As time goes by, the changes in the state of the experimenters during the purification process can be observed, and the experimenters can be asked about their own physical feelings. Through multiple tests, different comfort times suitable for different groups of people can be obtained, which are defined as the purification tolerance time threshold HQ.

[0107] Step three includes the following steps:

[0108] Step 301: When the condition that the optimal purification time value HV ≥ the purification tolerance time threshold HQ is met, the first solution is executed; when the condition that the optimal purification time value HV < the purification tolerance time threshold HQ is met, the second solution is executed;

[0109] In step 301, solution 1 includes the following steps:

[0110] Step 3011: Mark various factors to be purified as different priorities; for example, the priority level is defined as harmful gas concentration PC>particulate matter content PM in the air>air temperature T>air humidity RH, which can be adjusted according to specific usage scenarios;

[0111] Step 3012: Prioritize the factors to be purified of the first priority, start all purification devices with corresponding purification functions to perform purification operations, and the remaining purification devices start the corresponding purification functions for the factors to be purified of the second priority; the purification devices that do not have the purification functions for the factors to be purified of the first priority and the second priority start the purification functions corresponding to the factors to be purified of the third priority, the purification devices that do not have the purification functions for the factors to be purified of the first priority, the second priority and the third priority start the purification functions corresponding to the factors to be purified of the fourth priority, and the purification devices that still do not have the above purification functions start the purification functions corresponding to the next level of factors to be purified in turn, and so on, until all the purification devices are started at the same time;

[0112] Step 3013: Real-time detection of environmental data is performed. When the first priority factor to be purified drops to a low pollution threshold, only one of the purification devices is retained to continue the purification operation, and the remaining purification devices adjust their function options to start the purification function corresponding to the second priority factor to be purified. When the second priority factor to be purified drops to a low pollution threshold, only one of the purification devices is retained to continue the purification operation, and the remaining purification devices adjust their function options to start the purification function corresponding to the third priority factor to be purified. When the fourth priority factor to be purified drops to a low pollution threshold, only one of the purification devices is retained to continue the purification operation, and the remaining purification devices are turned off. Only one purification device corresponding to different factors to be purified is turned on to continue the purification operation until the factors to be purified meet the health threshold.

[0113] It should be noted that the real-time detected environmental data is the real-time data of the factors to be purified involved in the purification process; the low pollution threshold can be set according to the impact of different factors to be purified on physical health, which can be obtained by consulting a doctor, checking health journals, professional papers, etc., and then adjusted according to the actual usage scenario.

[0114] In step 301: Scheme 2 is specifically as follows: for each factor to be purified, a purification device with a corresponding purification function is started respectively until the factor to be purified meets the health threshold;

[0115] It should be noted that when the second scheme is implemented, the purification equipment corresponding to different factors to be purified is turned on first, and the purification equipment in the area where the maximum value of the factor to be purified is located is turned on first to ensure that the value of the factor to be purified is quickly reduced.

[0116] When in use, the working status of multiple purification devices is controlled by the selected scheme. Under the premise of ensuring working efficiency, it can avoid frequent start and stop of multiple purification devices during operation, save energy, and extend the service life of the purification equipment.

[0117] On the other hand, the present invention also discloses an automatic control system for multi-environment equipment, which is used to implement the above automatic control method, including:

[0118] A data acquisition module is used to acquire building information data, relevant data of purification equipment, environmental information data collected by purification equipment, and physical health data;

[0119] The information processing module calculates and generates a purification correction time value HP and a tolerance time coefficient HT based on the building information data, the relevant data of the purification equipment, the environmental information data collected by the purification equipment, and the health data, and uses the tolerance time coefficient HT to correct the purification correction time value HP to generate an optimal purification time value HV;

[0120] The analysis and execution module can compare the optimal purification time value HV with the preset purification tolerance time threshold HQ to obtain a judgment result; and execute different plans according to the judgment result.

[0121] In the above scheme, since the above automatic control method can be implemented, it has all the advantages of the method.

[0122] On the other hand, the present invention also discloses an air purifier for implementing the above-mentioned automatic control method.

[0123] In the above scheme, since the above automatic control method can be implemented, it has all the advantages of the method.

[0124] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware or in combination with computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0125] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0126] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. An automatic control method for multi-environment equipment, characterized in that: The following steps are involved: Obtain building information data of the equipment location, relevant data of the purification equipment, environmental information data and health data collected by the purification equipment; environmental information data includes relevant data of various factors to be purified; The purification correction time value HP and the tolerance time coefficient HT are calculated and generated through the building information data, the environmental information data and the health data, and the purification correction time value HP is corrected by the tolerance time coefficient HT to generate the optimal purification time value HV; The method for generating the purification correction time value HP is: The average values ​​of the various factors to be purified are calculated based on the relevant data of the various factors to be purified, the health threshold values ​​of the various factors to be purified are preset, the average values ​​of the different factors to be purified and the health threshold values ​​are calculated to obtain the difference between them, and the reduction amount of the factors to be purified for each factor to be purified is generated; the total purification efficiency of the purification equipment for the different factors to be purified is calculated based on the relevant data of the purification equipment, and the reduction amount of the factors to be purified for each factor to be purified and the corresponding total purification efficiency are calculated to obtain the purification time value for each factor to be purified, and the purification time values ​​of the different factors to be purified are added to generate the total purification time value; the purification time coefficient is preset, and the total purification time value is corrected by the purification time coefficient to generate the purification correction time value HP; The specific method for generating the tolerance time coefficient HT is: The installation locations of multiple purification devices are marked as different areas according to the building information data, and the air humidity RH, air temperature T, particulate matter content PM, and harmful gas concentration PC in multiple areas are detected by multiple purification devices respectively, and the average air humidity RH is calculated based on the detection data p , average air temperature T p , average PM content in the air p , average concentration of harmful gases PC p , the formulas are as follows: In the above formula: i=1, 2, 3, ..., n, i represents the area number divided according to the building information data, i represents the i-th area, and n represents the number of items in the area; Average air humidity RH p , average air temperature T p , average PM content in the air p , average concentration of harmful gases PC p Preprocess them respectively, mark the generated data as RHY, TY, PMY and PCY respectively, and substitute them into the formula: WR1=λ1×RHY+λ2×TY+λ3×PMY+λ4×PCY Among them: WR1 is the pollution average coefficient; λ1 is the weight coefficient of RHY, which is 0.1-0.3; λ2 is the weight coefficient of TY, which is 0.1-0.3; λ3 is the weight coefficient of PMY, which is 0.2-0.5; λ4 is the weight coefficient of PCY, which is 0.2-0.5; and λ1+λ2+λ3+λ4=1; Get the maximum air humidity RH from the environmental information data m , maximum air temperature T m , the maximum value of particulate matter content in the air is PM m and the maximum concentration of harmful gases PC m , the data generated after data preprocessing are marked as RHG, TG, PMG and PCG, and the maximum pollution coefficient WR2 is calculated as follows: WR2=α1×RHG+α2×TG+α3×PMG+α4×PCG Wherein: α1 is the weight coefficient of RHG, which is 0.1-0.3; α2 is the weight coefficient of TG, which is 0.15-0.25; α3 is the weight coefficient of PMG, which is 0.25-0.5; α4 is the weight coefficient of PCG, which is 0.3-0.5; and α1+α2+α3+α4=1; According to the building information data and the environmental information data collected by the purification equipment, the pollution average coefficient WR1, the pollution maximum coefficient WR2, the total number of people SW1 and the number of polluted people SW2 are generated; the environmental pollution index WR3 is generated by the pollution average coefficient WR1 and the pollution maximum coefficient WR2, and the formula is as follows: WR3=γ1×WR1+γ2×WR2 Wherein: γ1 is the weight coefficient of the pollution average value coefficient WR1; γ2 is the weight coefficient of the pollution maximum value coefficient WR2, γ1 and γ2 are both positive numbers, and γ1+γ2=1; By formula Calculate the pollution person-time coefficient SW3; The pollution hazard index WR4 is calculated by the formula WR4 = WR3 × SW3; The physical health data includes medical history D1, physical symptoms D2, physical examination D3, lung function test D4, and blood gas analysis D5. The human health coefficient is calculated based on the physical health data. The formula is as follows: HC=D1×ω1+D2×ω2+D3×ω3+D4×ω4+D5×ω5 Among them: HC is the human health coefficient; ω1 is the weight coefficient of medical history D1, and the value range of ω1 is 0.2-0.3; ω2 is the weight coefficient of physical symptoms D2, and the value range of ω2 is 0.15-0.25; ω3 is the weight coefficient of physical examination D3, and the value range of ω3 is 0.15-0.25; ω4 is the weight coefficient of pulmonary function test D4, and the value range of ω4 is 0.3-0.4; ω5 is the weight coefficient of blood gas analysis D5, and the value range of ω5 is 0.15-0.25; The tolerance time coefficient HT is generated by the human health coefficient HC and the pollution hazard index WR4. The formula is as follows: Where: α is the adjustment coefficient; The purification tolerance time threshold HQ is preset, and the optimal purification time value HV is compared with the purification tolerance time threshold HQ. Different solutions are executed according to the judgment results, specifically: When the condition of the optimal purification time value HV ≥ purification tolerance time threshold HQ is met, plan 1 is executed. Plan 1 can purify different factors to be purified in turn through a number of purification devices; when each factor to be purified is reduced to a low pollution threshold, a purification device with a corresponding purification function is retained to continue the purification operation until the factor to be purified meets the health threshold; Solution 1 is as follows: mark multiple factors to be purified with different priorities, give priority to the factors to be purified with the first priority, start all purification equipment with corresponding purification functions to perform purification operations, and the remaining purification equipment will start the corresponding purification functions for the factors to be purified with the second priority. The purification equipment that still does not have the above purification functions will start the purification functions of the corresponding next-level factors to be purified in turn until all purification equipment are turned on at the same time; and perform real-time detection of environmental data. When the factors to be purified with the first priority drop to the low pollution threshold, only one of the purification equipment will be retained to continue the purification operation, and the remaining purification equipment will adjust the function options and start the purification function corresponding to the factors to be purified with the second priority until all factors to be purified drop to the low pollution threshold, and only one purification equipment corresponding to different factors to be purified will be turned on to continue the purification operation until the factors to be purified meet the health threshold; When the condition that the optimal purification time value HV is less than the purification tolerance time threshold HQ is met, the second scheme is executed. Specifically, for each factor to be purified, a purification device with a corresponding purification function is turned on until the factor to be purified meets the health threshold.

2. The automatic control method of a multi-environment device according to claim 1, characterized in that: The multiple factors to be purified include at least air humidity RH, air temperature T, particulate matter content PM in the air and harmful gas concentration PC; and the priority levels are harmful gas concentration PC>particulate matter content PM in the air>air temperature T>air humidity RH.

3. An automatic control system for multi-environment equipment, used to implement the automatic control method of claim 1 or 2, characterized in that: include: Data acquisition module, which acquires building information data, relevant data of purification equipment, environmental information data collected by purification equipment and physical health data; The information processing module calculates and generates a purification correction time value HP and a tolerance time coefficient HT based on the building information data, the relevant data of the purification equipment, the environmental information data collected by the purification equipment, and the health data, and uses the tolerance time coefficient HT to correct the purification correction time value HP to generate an optimal purification time value HV; The method for generating the purification correction time value HP is: The average values ​​of the various factors to be purified are calculated based on the relevant data of the various factors to be purified, the health threshold values ​​of the various factors to be purified are preset, the average values ​​of the different factors to be purified and the health threshold values ​​are calculated to obtain the difference between them, and the reduction amount of the factors to be purified for each factor to be purified is generated; the total purification efficiency of the purification equipment for the different factors to be purified is calculated based on the relevant data of the purification equipment, and the reduction amount of the factors to be purified for each factor to be purified and the corresponding total purification efficiency are calculated to obtain the purification time value for each factor to be purified, and the purification time values ​​of the different factors to be purified are added to generate the total purification time value; the purification time coefficient is preset, and the total purification time value is corrected by the purification time coefficient to generate the purification correction time value HP; The specific method for generating the tolerance time coefficient HT is: The installation locations of multiple purification devices are marked as different areas according to the building information data, and the air humidity RH, air temperature T, particulate matter content PM, and harmful gas concentration PC in multiple areas are detected by multiple purification devices respectively, and the average air humidity RH is calculated based on the detection data p , average air temperature T p , average PM content in the air p , average concentration of harmful gases PC p , the formulas are as follows: In the above formula: i=1, 2, 3, ..., n, i represents the area number divided according to the building information data, i represents the i-th area, and n represents the number of items in the area; Average air humidity RH p , average air temperature T p , average PM content in the air p , average concentration of harmful gases PC p Preprocess them respectively, mark the generated data as RHY, TY, PMY and PCY respectively, and substitute them into the formula: WR1=λ1×RHY+λ2×TY+λ3×PMY+λ4×PCY Among them: WR1 is the pollution average coefficient; λ1 is the weight coefficient of RHY, which is 0.1-0.3; λ2 is the weight coefficient of TY, which is 0.1-0.3; λ3 is the weight coefficient of PMY, which is 0.2-0.5; λ4 is the weight coefficient of PCY, which is 0.2-0.5; and λ1+λ2+λ3+λ4=1; Get the maximum air humidity RH from the environmental information data m , maximum air temperature T m , the maximum value of particulate matter content in the air is PM m and the maximum concentration of harmful gases PC m , the data generated after data preprocessing are marked as RHG, TG, PMG and PCG, and the maximum pollution coefficient WR2 is calculated as follows: WR2=α1×RHG+α2×TG+α3×PMG+α4×PCG Wherein: α1 is the weight coefficient of RHG, which is 0.1-0.3; α2 is the weight coefficient of TG, which is 0.15-0.25; α3 is the weight coefficient of PMG, which is 0.25-0.5; α4 is the weight coefficient of PCG, which is 0.3-0.5; and α1+α2+α3+α4=1; According to the building information data and the environmental information data collected by the purification equipment, the pollution average coefficient WR1, the pollution maximum coefficient WR2, the total number of people SW1 and the number of polluted people SW2 are generated; the environmental pollution index WR3 is generated by the pollution average coefficient WR1 and the pollution maximum coefficient WR2, and the formula is as follows: WR3=γ1×WR1+γ2×WR2 Wherein: γ1 is the weight coefficient of the pollution average value coefficient WR1; γ2 is the weight coefficient of the pollution maximum value coefficient WR2, γ1 and γ2 are both positive numbers, and γ1+γ2=1; By formula Calculate the pollution person-time coefficient SW3; The pollution hazard index WR4 is calculated by the formula WR4 = WR3 × SW3; The physical health data includes medical history D1, physical symptoms D2, physical examination D3, lung function test D4, and blood gas analysis D5. The human health coefficient is calculated based on the physical health data. The formula is as follows: HC=D1×ω1+D2×ω2+D3×ω3+D4×ω4+D5×ω5 Among them: HC is the human health coefficient; ω1 is the weight coefficient of medical history D1, and the value range of ω1 is 0.2-0.3; ω2 is the weight coefficient of physical symptoms D2, and the value range of ω2 is 0.15-0.25; ω3 is the weight coefficient of physical examination D3, and the value range of ω3 is 0.15-0.25; ω4 is the weight coefficient of pulmonary function test D4, and the value range of ω4 is 0.3-0.4; ω5 is the weight coefficient of blood gas analysis D5, and the value range of ω5 is 0.15-0.25; The tolerance time coefficient HT is generated by the human health coefficient HC and the pollution hazard index WR4. The formula is as follows: Where: α is the adjustment coefficient; The analysis execution module compares the optimal purification time value HV with the preset purification tolerance time threshold HQ to obtain a judgment result; and executes different solutions according to the judgment result; specifically: When the condition of the optimal purification time value HV ≥ purification tolerance time threshold HQ is met, plan 1 is executed. Plan 1 can purify different factors to be purified in turn through a number of purification devices; when each factor to be purified is reduced to a low pollution threshold, a purification device with a corresponding purification function is retained to continue the purification operation until the factor to be purified meets the health threshold; Solution 1 is as follows: mark multiple factors to be purified with different priorities, give priority to the factors to be purified with the first priority, start all purification equipment with corresponding purification functions to perform purification operations, and the remaining purification equipment will start the corresponding purification functions for the factors to be purified with the second priority. The purification equipment that still does not have the above purification functions will start the purification functions of the corresponding next-level factors to be purified in turn until all purification equipment are turned on at the same time; and perform real-time detection of environmental data. When the factors to be purified with the first priority drop to the low pollution threshold, only one of the purification equipment will be retained to continue the purification operation, and the remaining purification equipment will adjust the function options and start the purification function corresponding to the factors to be purified with the second priority until all factors to be purified drop to the low pollution threshold, and only one purification equipment corresponding to different factors to be purified will be turned on to continue the purification operation until the factors to be purified meet the health threshold; When the condition that the optimal purification time value HV is less than the purification tolerance time threshold HQ is met, the second scheme is executed. Specifically, for each factor to be purified, a purification device with a corresponding purification function is turned on until the factor to be purified meets the health threshold.

4. An air purifier, characterized in that: Used to implement the automated control method of claim 1 or 2.

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