An AI-based building fresh air energy-saving control system

Abstract

This invention belongs to the field of energy-saving control of fresh air systems, specifically disclosing an artificial intelligence-based energy-saving control system for building fresh air systems. The system includes: an estimated arrival time acquisition module, a regional air quality monitoring module, a regional air quality analysis module, an airflow level compliance analysis module, a fresh air equipment adjustment and control module, an actual arrival time acquisition module, a fresh air equipment secondary adjustment and control module, and a database. This invention analyzes the corresponding airflow level for each floor area by calculating the comprehensive air quality coefficient and the compliance influence coefficient of each airflow level of the fresh air equipment, thus improving the accuracy of fresh air equipment adjustment and control. Simultaneously, by combining the actual arrival time of users corresponding to each floor area with the operating duration of the fresh air equipment, it analyzes the airflow level for secondary adjustment of the fresh air equipment in each floor area, increasing the energy efficiency and effectiveness of fresh air equipment adjustment and control.

Description

Technical Field

[0001] This invention belongs to the field of energy-saving control of fresh air systems, and specifically relates to an artificial intelligence-based energy-saving control system for building fresh air systems. Background Technology

[0002] Nowadays, people have increasingly higher requirements for the air quality of their environment. As a place where many people work together, buildings should pay more attention to monitoring and regulating air quality. However, some buildings have relatively enclosed spaces and lack air circulation. Therefore, many buildings have introduced fresh air systems that can ventilate and purify dust. Before users arrive, staff will turn on the fresh air system of the corresponding floor area to adjust the air quality of the area to the standard state in advance. In order to achieve more convenient and accurate advance adjustment, more intelligent methods should be introduced. Artificial intelligence technology is developing rapidly and is gradually being applied to many fields. Among them, the use of artificial intelligence in various electrical devices is particularly prominent. Therefore, it is urgent to combine the fresh air system of the building with artificial intelligence to monitor and adjust in real time to achieve the goal of accurately regulating air quality.

[0003] Although the existing fresh air system can meet the basic function of air purification in most buildings, there are still some shortcomings, which are manifested in the following aspects: (1) The existing fresh air system in most buildings is mainly controlled by humans or all fresh air devices are turned on at the same time. On the one hand, it increases the burden on staff, and on the other hand, it is impossible to accurately turn on the fresh air devices of each floor area in a timely manner and adjust the air quality comprehensive coefficient of the corresponding floor area to the standard. Furthermore, the time of arrival of each user on each floor area is different, and there are differences. If the fresh air devices of each floor area are turned on at the same time, it will result in some areas where the corresponding users have arrived, but the air quality adjustment of the corresponding floor area has not been completed, or some areas where the air quality adjustment has been completed, but the corresponding users have not arrived. The fresh air devices are always on, wasting resources.

[0004] (2) A few buildings will turn on the fresh air equipment of each floor area in advance according to the user's scheduled arrival time. Although the fresh air equipment has been turned on in a differentiated manner to achieve precise adjustment, considering that there is still a deviation between the scheduled arrival time of different users and the actual arrival time of the building area, some floors will turn on the fresh air equipment according to the user's expected arrival time, and will not be able to adjust the air quality of the area to the standard state on time. This is not accurate enough. Or, some floors have adjusted the air quality of the area to the standard state, but the user has not yet arrived, so the energy-saving effect cannot be achieved. Summary of the Invention

[0005] To overcome the shortcomings of the prior art, embodiments of the present invention provide an artificial intelligence-based building fresh air energy-saving control system, which can effectively solve the problems involved in the prior art.

[0006] The objective of this invention can be achieved through the following technical solution: This invention provides an artificial intelligence-based building fresh air energy-saving control system, including: an estimated arrival time acquisition module for acquiring the estimated arrival time of users corresponding to each floor area in the target building, and analyzing the estimated monitoring time of fresh air equipment corresponding to each floor area in the target building.

[0007] The regional air quality monitoring module is used to monitor the air quality information of each floor area based on the expected monitoring time of the corresponding fresh air equipment, and analyze the comprehensive air quality coefficient of each floor area.

[0008] The regional air quality analysis module is used to determine the air volume level of a floor area when the comprehensive air quality coefficient of a certain floor area is greater than or equal to the preset standard comprehensive air quality coefficient. Otherwise, the floor area is recorded as the target area, and the air volume level compliance analysis module is executed.

[0009] The air volume level compliance analysis module is used to obtain the volume of each target area, analyze the compliance influence coefficient of each target area for each air volume level, and then filter the air volume level corresponding to each target area.

[0010] The fresh air equipment adjustment and control module is used to obtain the corresponding air volume level of each floor area and adjust and control the fresh air equipment of each floor area accordingly.

[0011] The actual arrival time acquisition module is used to obtain the actual arrival time of users in each floor area.

[0012] The secondary adjustment and control module for fresh air equipment is used to obtain the operating time of fresh air equipment in each floor area, analyze the compliance influence coefficient of each air volume level in each floor area, screen the secondary air volume level in each floor area, and then adjust and control the secondary air volume level of the fresh air equipment in each floor area.

[0013] The database is used to store the reservation methods and user registration information of users corresponding to each floor area in the target building, as well as the volume of each area, the distance from the elevator to each area, the work area information of historical users in each area, and the comprehensive air quality adjustment coefficient of each set air volume level of the fresh air equipment per unit volume per unit time.

[0014] Furthermore, the specific analysis method for the estimated monitoring time of the fresh air equipment corresponding to each floor area of ​​the target building is as follows: extract the reservation method of the user corresponding to each floor area of ​​the target building from the database. The user reservation method includes online reservation method and front desk registration method. If the reservation method of the user corresponding to a certain floor area is online reservation method, then obtain the online reservation information corresponding to that floor area and obtain the estimated arrival time of the user corresponding to that floor area. If the reservation method of the user corresponding to a certain floor area is front desk registration method, then obtain the front desk registration time corresponding to that floor area and analyze the estimated arrival time of the user corresponding to that floor area.

[0015] Then, the estimated arrival time of users in each floor area is calculated, and the estimated monitoring time of the fresh air equipment in each floor area is analyzed. The specific calculation formula is T0. i =T i -T 设 T0 i T represents the estimated monitoring time for the fresh air system corresponding to the i-th floor area. i T represents the estimated arrival time of the user corresponding to the i-th floor area. 设 This indicates the duration for which the fresh air system on a floor or zone is set to be turned on in advance, where i represents the floor or zone number, i = 1, 2, ..., n.

[0016] Furthermore, the air quality information for each floor area includes temperature, humidity, PM2.5 content, and carbon dioxide concentration.

[0017] Furthermore, the comprehensive air quality coefficient for each floor area is specifically analyzed as follows: the comprehensive air quality coefficient for each floor area is calculated based on the monitored air quality information, and the specific calculation formula is as follows: Where ω i Let be the comprehensive air quality coefficient for the i-th floor area, where △T, △RH, △PM, and △C represent the suitable temperature, suitable humidity, suitable PM2.5 content, and suitable carbon dioxide concentration in the set suitable environment of the building area, respectively. i RH i PM i C i λ1, λ2, λ3, and λ4 represent the temperature, humidity, PM2.5 content, and carbon dioxide concentration of the i-th floor area, respectively, and represent the air quality influencing factors corresponding to the set area temperature, humidity, PM2.5 content, and carbon dioxide concentration, respectively.

[0018] Furthermore, the specific analysis method for the compliance influence coefficient of each target area corresponding to each air volume level is as follows: Based on the comprehensive air quality coefficient of each floor area, the comprehensive air quality coefficient of each target area is selected. Then, the volume of each target area and the adjusted comprehensive air quality coefficient of each air volume level of the set fresh air equipment are retrieved from the database for each unit volume and each unit of time. Combined with the building's set time for early activation of the fresh air equipment in the floor areas, the compliance influence coefficient of each target area corresponding to each air volume level is calculated. The calculation formula is as follows: in Let α be the conformity influence coefficient for the j-th airflow level corresponding to the s-th target area. j The comprehensive air quality regulation coefficient for the j-th air volume level of a given fresh air system per unit volume and per unit time, where j represents the air volume level number of the fresh air system, j = 1, 2, ..., f, V s Let ω be the volume of the s-th target region. s This represents the comprehensive air quality coefficient for the s-th target area, where s represents the target area number, s = 1, 2, ..., m, m ≤ n. The preset standard air quality coefficient is used, and △ω is the preset air quality coefficient deviation. Then, the wind volume level corresponding to each target area is selected by comparison.

[0019] Furthermore, the actual arrival time of users corresponding to each floor area is analyzed in the following way: the monitoring cameras installed in the elevator monitor the people entering the elevator in real time, obtain the facial images of the people entering the elevator, and compare them with the facial images in the user registration information of each floor area in the database. If the facial image of the person entering the elevator matches the facial image in the user registration information of a certain floor area, then the person entering the elevator is the user corresponding to that floor area, and the time when the user enters the elevator is obtained, and the time when users corresponding to each floor area enter the elevator is counted.

[0020] Simultaneously, the distance from the elevator to each floor area and the work area information of historical users in each floor area within a set historical time period are extracted from the database. The average speed of historical users arriving at each floor area is analyzed to calculate the actual arrival time of users corresponding to each floor area. The calculation formula is as follows: Where t i x represents the actual arrival time of the user corresponding to the i-th floor area. i Let be the distance from the elevator to the i-th floor area. denoted as the average speed at which historical users arrive at the i-th floor area, and μ as the speed influence factor for arrival at the area, thereby analyzing the actual arrival time of users corresponding to each floor area.

[0021] Furthermore, the specific analysis method for the average speed of historical users arriving at the area in each floor area is as follows: Extract the elevator entry time and door opening time of each historical user in each floor area within a set historical time period from the work area information of historical users within that set historical time period; calculate the average speed of historical users arriving at the area in each floor area; and then calculate the average speed of historical users arriving at the area in each floor area using the following formula: in This represents the average speed at which users arrive at the area corresponding to the i-th floor. This represents the door opening time of the r-th historical user in the i-th floor area within a set historical time period. This represents the elevator entry time of the r-th historical user in the i-th floor area within a set historical time period, where k represents the number of historical users, and r = 1, 2, ..., k.

[0022] Furthermore, the specific analysis method for the conformity influence coefficient of each floor area corresponding to each air volume level is as follows: after confirming the actual arrival time of the user corresponding to each floor area, analyze the current comprehensive air quality coefficient of each floor area and record it as ω′. i Next, the calculated comprehensive air quality coefficients for each floor area are compared with the preset standard comprehensive air quality coefficients. If the current comprehensive air quality coefficient for a certain floor area is less than the preset standard comprehensive air quality coefficient, the compliance influence coefficient for each air volume level corresponding to that floor area is calculated. The specific calculation formula is as follows: Where ξ j Let α be the conformity influence coefficient for the j-th airflow level corresponding to this floor area. j The comprehensive air quality coefficient for adjusting the air volume of the set fresh air equipment at the j-th air volume level is calculated per unit volume per unit time. V is the volume of the floor area, and ω′ is the current comprehensive air quality coefficient of the reserved area. Then, the air volume level corresponding to the secondary adjustment of the floor area is selected by comparison.

[0023] If the comprehensive air quality coefficient of a certain floor area is greater than or equal to the preset standard comprehensive air quality coefficient, then the air volume level of that floor area will be adjusted to the set air volume level.

[0024] Then, the air volume levels corresponding to the secondary adjustment of each floor area are statistically analyzed.

[0025] Furthermore, the specific analysis method for the current comprehensive air quality coefficient of each floor area is as follows: Obtain the operating time of the corresponding fresh air equipment in each floor area, and combine the volume of each floor area and the current airflow level of the fresh air equipment in each floor area with the adjusted comprehensive air quality coefficient per unit volume per unit time. The calculation formula is: ω′ i =ω i +α i *V i *τ i , where ω′ i Let α be the comprehensive air quality coefficient for the i-th floor area. i τ represents the overall air quality coefficient regulated by the current air volume level of the fresh air system in the i-th floor area per unit volume and per unit time. i This indicates the operating time of the fresh air system corresponding to the i-th floor area.

[0026] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) After obtaining the expected arrival time of users in each floor area, the present invention analyzes the expected monitoring time of each floor area and turns on the fresh air equipment in the corresponding floor area in advance according to the time, which improves the rationality and reliability of the fresh air equipment turning on time, and can accurately turn on the fresh air equipment of each floor area in a timely manner, and adjust the air quality of the corresponding floor area to the standard air quality state, thereby improving the user's satisfaction with living.

[0027] (2) This invention monitors the air quality of each floor area, calculates the corresponding comprehensive air quality coefficient, accurately reflects the overall air quality of each floor area, judges the difference from the standard comprehensive air quality coefficient, and makes the adjustment of air volume level more convenient and accurate.

[0028] (3) This invention analyzes and calculates the conformity influence coefficient of each floor area corresponding to each air volume level, and then analyzes and screens the air volume level corresponding to each floor area, which increases the accuracy of the operation of fresh air equipment in each floor area.

[0029] (4) The present invention takes into account that users may not be able to arrive at the building area on time. Therefore, it continues to analyze the actual arrival time of users in each floor area, calculates the current comprehensive air quality coefficient of each floor area, and makes further adjustments on the basis of the current adjustments. This can effectively save resources and improve the energy efficiency and effectiveness of the fresh air system. Attached Figure Description

[0030] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is a schematic diagram of the module connections of the system of the present invention. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] Please see Figure 1 As shown, the present invention provides an artificial intelligence-based building fresh air energy-saving control system, including: an estimated arrival time acquisition module, a regional air quality monitoring module, a regional air quality analysis module, an air volume level compliance analysis module, a fresh air equipment adjustment and control module, an actual arrival time acquisition module, a fresh air equipment secondary adjustment and control module, and a database.

[0034] The estimated arrival time acquisition module is connected to the regional air quality monitoring module, the regional air quality monitoring module is connected to the regional air quality analysis module, the regional air quality analysis module is connected to the air volume level conformity analysis module, the air volume level conformity analysis module is connected to the fresh air equipment adjustment and control module, the fresh air equipment adjustment and control module is connected to the actual arrival time acquisition module, the actual arrival time acquisition module is connected to the fresh air equipment secondary adjustment and control module, and the database is connected to the estimated arrival time acquisition module, the air volume level conformity analysis module, the actual arrival time acquisition module, and the fresh air equipment secondary adjustment and control module, respectively.

[0035] The estimated arrival time acquisition module is used to obtain the estimated arrival time of users corresponding to each floor area in the target building, and to analyze the estimated monitoring time of the fresh air equipment corresponding to each floor area in the target building.

[0036] In a specific embodiment of the present invention, the estimated monitoring time of the fresh air equipment corresponding to each floor area of ​​the target building is analyzed as follows: the reservation method of the user corresponding to each floor area of ​​the target building is extracted from the database. The user reservation method includes online reservation method and front desk registration method. If the reservation method of the user corresponding to a certain floor area is online reservation method, the online reservation information corresponding to that floor area is obtained, and the estimated arrival time of the user corresponding to that floor area is obtained. If the reservation method of the user corresponding to a certain floor area is front desk registration method, the front desk registration time corresponding to that floor area is obtained, and the estimated arrival time of the user corresponding to that floor area is analyzed.

[0037] Then, the estimated arrival time of users in each floor area is calculated, and the estimated monitoring time of the fresh air equipment in each floor area is analyzed. The specific calculation formula is T0. i =T i -T 设 T0 i T represents the estimated monitoring time for the fresh air system corresponding to the i-th floor area. i T represents the estimated arrival time of the user corresponding to the i-th floor area. 设 This indicates the duration for which the fresh air system on a floor or zone is set to be turned on in advance, where i represents the floor or zone number, i = 1, 2, ..., n.

[0038] After obtaining the estimated arrival time of users in each floor area, this invention analyzes the estimated monitoring time of each floor area and turns on the fresh air equipment in the corresponding floor area in advance based on this time. This improves the rationality and reliability of the fresh air equipment turn-on time, and can accurately turn on the fresh air equipment of each floor area in a timely manner, and adjust the air quality of the corresponding floor area to the standard air quality state, thereby improving the user's living satisfaction.

[0039] The regional air quality monitoring module is used to monitor the air quality information of each floor area according to the expected monitoring time of the corresponding fresh air equipment, and analyze the comprehensive air quality coefficient of each floor area.

[0040] In a specific embodiment of the present invention, the air quality information of each floor area includes temperature, humidity, PM2.5 content, and carbon dioxide concentration.

[0041] It should be noted that the equipment used to monitor the air quality information of each floor area is a temperature sensor, a humidity sensor, a PM2.5 monitoring sensor, and a carbon dioxide concentration sensor.

[0042] The regional air quality analysis module is used to determine the air volume level of a floor area when the comprehensive air quality coefficient of a certain floor area is greater than or equal to the preset standard comprehensive air quality coefficient. Otherwise, the floor area is recorded as the target area, and the air volume level conformity analysis module is executed.

[0043] In a specific embodiment of the present invention, the comprehensive air quality coefficient of each floor area is specifically analyzed as follows: the comprehensive air quality coefficient of each floor area is calculated based on the monitored air quality information of each floor area, and the specific calculation formula is as follows: Where ω i Let be the comprehensive air quality coefficient for the i-th floor area, where △T, △RH, △PM, and △C represent the suitable temperature, suitable humidity, suitable PM2.5 content, and suitable carbon dioxide concentration in the set suitable environment of the building area, respectively. i RH i PM i C i λ1, λ2, λ3, and λ4 represent the temperature, humidity, PM2.5 content, and carbon dioxide concentration of the i-th floor area, respectively, and represent the air quality influencing factors corresponding to the set area temperature, humidity, PM2.5 content, and carbon dioxide concentration, respectively.

[0044] It should be noted that when the comprehensive air quality coefficient of a certain floor area is greater than or equal to the preset standard comprehensive air quality coefficient, it means that the air quality of that floor area is already in the best state and does not need to be excessively adjusted. Therefore, its air volume level can be adjusted to the set air volume level, which is the lowest air volume level, to achieve the effect of energy saving.

[0045] This invention monitors the air quality of each floor area, calculates the corresponding comprehensive air quality coefficient, accurately reflects the overall air quality of each floor area, judges the difference from the standard comprehensive air quality coefficient, and makes the adjustment of air volume level more convenient and accurate.

[0046] The airflow level conformity analysis module is used to obtain the volume of each target area, analyze the conformity influence coefficient of each target area for each airflow level, and then filter the airflow level corresponding to each target area.

[0047] In a specific embodiment of the present invention, the conformity influence coefficient of each target area corresponding to each air volume level is analyzed as follows: Based on the comprehensive air quality coefficient of each floor area, the comprehensive air quality coefficient of each target area is selected. Then, the volume of each target area and the adjusted comprehensive air quality coefficient of each air volume level of the set fresh air equipment are retrieved from the database for each unit volume and each unit of time. Combined with the building's set time for early activation of the fresh air equipment in the floor areas, the conformity influence coefficient of each target area corresponding to each air volume level is calculated. The calculation formula is as follows: in Let α be the conformity influence coefficient for the j-th airflow level corresponding to the s-th target area. j The comprehensive air quality regulation coefficient for the j-th air volume level of a given fresh air system per unit volume and per unit time, where j represents the air volume level number of the fresh air system, j = 1, 2, ..., f, V s Let ω be the volume of the s-th target region. s This represents the comprehensive air quality coefficient for the s-th target area, where s represents the target area number, s = 1, 2, ..., m, m ≤ n. The preset standard air quality coefficient is used, and △ω is the preset air quality coefficient deviation. Then, the wind volume level corresponding to each target area is selected by comparison.

[0048] It should be noted that after calculating the conformity influence coefficient of each target area for each air volume level, the air volume level with the largest conformity influence coefficient for each target area is selected as the air volume level of the corresponding target area, and then the air volume level corresponding to each target area is statistically analyzed.

[0049] This invention analyzes and calculates the conformity influence coefficient of each floor area corresponding to each air volume level, and then analyzes and selects the corresponding air volume level for each floor area, thereby increasing the accuracy of the operation of fresh air equipment in each floor area.

[0050] The fresh air equipment adjustment and control module is used to obtain the air volume level corresponding to each floor area and adjust and control the fresh air equipment corresponding to the corresponding air volume level for each floor area.

[0051] It should be noted that the fresh air system uses an electric valve at the fresh air inlet to regulate the indoor fresh air volume. This valve consists of an electric valve, a motor, and a controller. Its working principle is to control the amount of fresh air entering by opening and closing the electric valve. Specifically, after the controller receives the air volume level signal selected by the fresh air system, it sends a command to the motor to rotate. The rotation of the motor drives the electric valve to open and close, thereby controlling the amount of fresh air entering. When the fresh air volume reaches the set air volume value for the corresponding air volume level of the fresh air system, the controller will stop sending commands, the motor will stop rotating, and the electric valve will remain at the corresponding opening position. If the fresh air volume needs to be adjusted again, the signal can be sent again to achieve the adjustment.

[0052] The actual arrival time acquisition module is used to acquire the actual arrival time of users corresponding to each floor area.

[0053] In a specific embodiment of the present invention, the actual arrival time of the users corresponding to each floor area is analyzed as follows: the monitoring camera installed in the elevator monitors the people entering the elevator in real time, obtains the facial image of the person entering the elevator, and compares it with the facial image in the user registration information corresponding to each floor area in the database. If the facial image of the person entering the elevator matches the facial image in the user registration information corresponding to a certain floor area, then the person entering the elevator is the user corresponding to that floor area, and the time when the user enters the elevator is obtained, and the time when the users corresponding to each floor area enter the elevator is counted.

[0054] Simultaneously, the distance from the elevator to each floor area and the work area information of historical users in each floor area within a set historical time period are extracted from the database. The average speed of historical users arriving at each floor area is analyzed to calculate the actual arrival time of users corresponding to each floor area. The calculation formula is as follows: Where t i x represents the actual arrival time of the user corresponding to the i-th floor area. i Let be the distance from the elevator to the i-th floor area. denoted as the average speed at which historical users arrive at the i-th floor area, and μ as the speed influence factor for arrival at the area, thereby analyzing the actual arrival time of users corresponding to each floor area.

[0055] It should be noted that the process of identifying and matching the facial images of people entering the elevator with the facial images in the user registration information for each floor area in the database works primarily by using surveillance cameras installed in the elevator to capture facial images of people entering the elevator. This data is then corrected for changes in facial features due to factors such as scale, lighting, and rotation. Deep learning technology is used to input these facial images into a pre-trained neural network to extract feature values ​​of key feature points such as facial contours and facial features, forming a feature vector. This feature vector is then compared with the feature vectors of the facial images in the user registration information for each floor area in the database. The similarity between the facial images of people entering the elevator and the facial images in the user registration information for each floor area in the database is calculated using the following formula: Where σ i x represents the similarity between the facial image of a person entering the elevator and the facial image in the user registration information corresponding to the i-th floor area in the database. p Let p represent the feature value of the p-th key feature point in the feature vector of the facial image of a person entering the elevator. Let p represent the feature value of the p-th key feature point of the feature vector of the facial image in the user registration information corresponding to the i-th floor area, where p = 1, 2, ..., q. When the similarity between the facial image of the person entering the elevator and the facial image in the user registration information corresponding to a certain floor area in the database exceeds the set similarity threshold, the match is considered successful.

[0056] To further explain, the characteristic value of a human face outline is area, while the characteristic value of facial features is size.

[0057] It should also be noted that after calculating the actual arrival time of users in each floor area, the actual arrival time of users in each floor area is then calculated by combining this with the time they enter the elevator. The calculation formula is as follows: in This indicates the actual arrival time of the user corresponding to each floor area. This indicates the time when a user enters the elevator for each floor area.

[0058] In a specific embodiment of the present invention, the average speed of historical users arriving at the area in each floor area is analyzed by the following method: extracting the elevator entry time and door opening time of each historical user in each floor area within a set historical time period from the work area information of historical users in each floor area within a set historical time period, calculating the average speed of historical users arriving at the area in each floor area, and then calculating the average speed of historical users arriving at the area in each floor area. The calculation formula is as follows: in This represents the average speed at which users arrive at the area corresponding to the i-th floor. This represents the door opening time of the r-th historical user in the i-th floor area within a set historical time period. This represents the elevator entry time of the r-th historical user in the i-th floor area within a set historical time period, where k represents the number of historical users, and r = 1, 2, ..., k.

[0059] The secondary adjustment and control module for fresh air equipment is used to obtain the operating time of fresh air equipment in each floor area, analyze the adjustment compliance influence coefficient of each air volume level in each floor area, screen the secondary air volume level in each floor area, and then adjust and control the secondary air volume level of fresh air equipment in each floor area.

[0060] In a specific embodiment of the present invention, the specific analysis method for the conformity influence coefficient of each floor area corresponding to each air volume level is as follows: after confirming the actual arrival time of the user corresponding to each floor area, the current comprehensive air quality coefficient of each floor area is analyzed and denoted as ω′. i Next, the calculated comprehensive air quality coefficients for each floor area are compared with the preset standard comprehensive air quality coefficients. If the current comprehensive air quality coefficient for a certain floor area is less than the preset standard comprehensive air quality coefficient, the compliance influence coefficient for each air volume level corresponding to that floor area is calculated. The specific calculation formula is as follows: Where ξ j Let α be the conformity influence coefficient for the j-th airflow level corresponding to this floor area. j The comprehensive air quality coefficient for adjusting the air volume of the set fresh air equipment at the j-th air volume level is calculated per unit volume per unit time. V is the volume of the floor area, and ω′ is the current comprehensive air quality coefficient of the reserved area. Then, the air volume level corresponding to the secondary adjustment of the floor area is selected by comparison.

[0061] If the comprehensive air quality coefficient of a certain floor area is greater than or equal to the preset standard comprehensive air quality coefficient, then the air volume level of that floor area will be adjusted to the set air volume level.

[0062] Then, the air volume levels corresponding to the secondary adjustment of each floor area are statistically analyzed.

[0063] It should be noted that after calculating the conformity influence coefficient of each air volume level for a certain floor area, the air volume level with the largest conformity influence coefficient for that floor area is selected as the air volume level corresponding to the secondary adjustment of that floor area.

[0064] It should also be noted that the purpose of the second adjustment of the air volume level of the fresh air equipment in each floor area is to increase the air volume level of the fresh air equipment in areas that have not been adjusted to the standard air quality state based on the current comprehensive air quality coefficient, thereby speeding up the adjustment process, while adjusting the air volume level of the fresh air equipment in areas that have been adjusted to the standard air quality state to the set air volume level, so as to achieve the purpose of energy saving.

[0065] This invention takes into account that users may not arrive at the building area on time. Therefore, it further analyzes the actual arrival time of users in each floor area, calculates the current comprehensive air quality coefficient of each floor area, and makes further adjustments based on the current adjustments. This can effectively save resources and improve the energy efficiency and effectiveness of the fresh air system.

[0066] In a specific embodiment of the present invention, the current comprehensive air quality coefficient of each floor area is analyzed as follows: The operating time of the corresponding fresh air equipment in each floor area is obtained; combined with the volume of each floor area and the current airflow level of the fresh air equipment in each floor area, the adjusted comprehensive air quality coefficient per unit volume per unit time is calculated; the calculation formula is: ω′ i =ω i +α i *V i *τ i , where ω′ i Let α be the comprehensive air quality coefficient for the i-th floor area. i τ represents the overall air quality coefficient regulated by the current air volume level of the fresh air system in the i-th floor area per unit volume and per unit time. i This indicates the operating time of the fresh air system corresponding to the i-th floor area.

[0067] It should be noted that the current comprehensive air quality coefficient of each floor area can be calculated either by re-monitoring the air quality information of each floor area, or by adding the initial calculated comprehensive air quality coefficient of each floor area to the comprehensive air quality coefficient of the fresh air equipment in each floor area that has been adjusted to the current air volume level. The latter method is the one used in this invention and is more convenient and faster.

[0068] The database is used to store the reservation methods and user registration information of users corresponding to each floor area in the target building, as well as the volume of each area, the distance from the elevator to each area, the work area information of historical users in each area, and the comprehensive air quality adjustment coefficient of each air volume level of the set fresh air equipment per unit volume and per unit time.

[0069] The above content is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and all such modifications and additions should fall within the protection scope of the present invention.

Claims

1. An artificial intelligence-based building fresh air energy-saving control system, characterized in that, include: The estimated arrival time acquisition module is used to obtain the estimated arrival time of users in each floor area of ​​the target building, and to analyze the estimated monitoring time of the fresh air equipment in each floor area of ​​the target building. ; Extract the reservation methods of users corresponding to each floor area in the target building from the database. The user reservation methods include online reservation and front desk registration. If the reservation method of a user corresponding to a certain floor area is online reservation, obtain the online reservation information of that floor area and get the estimated arrival time of the user corresponding to that floor area. If the reservation method of a user corresponding to a certain floor area is front desk registration, obtain the front desk registration time of that floor area and analyze the estimated arrival time of the user corresponding to that floor area. Then, the estimated arrival time of users in each floor area is calculated and analyzed. , ,in Indicates the first The estimated monitoring time for the fresh air equipment corresponds to each floor area. Indicates the first Each floor area corresponds to the user's estimated arrival time. This indicates the duration for which the building's ventilation system is set to be activated in advance on certain floors. Indicates the floor area number. ; The regional air quality monitoring module is used to monitor air quality according to... Air quality information for each floor area is monitored, and the comprehensive air quality coefficient for each floor area is analyzed. ; , , , , These represent the suitable temperature, humidity, PM2.5 level, and carbon dioxide concentration in the designated building area. , , , They represent the first Temperature, humidity, PM2.5 levels, and carbon dioxide concentration in each floor area. , , , These represent the air quality impact factors corresponding to the set area temperature, humidity, PM2.5 content, and carbon dioxide concentration, respectively. The regional air quality analysis module is used when the comprehensive air quality coefficient of a certain floor area is greater than or equal to the preset standard comprehensive air quality coefficient. If the air volume level is set, the air volume level of that floor area is set; otherwise, the floor area is recorded as the target area, and the air volume level conformity analysis module is executed. The airflow level compliance analysis module is used to obtain the volume of each target area and analyze the compliance influence coefficient of each target area for each airflow level. This allows for the selection of wind volume levels corresponding to each target area; according to The comprehensive air quality coefficient for each target area is selected. Then, the volume of each target area and the adjusted comprehensive air quality coefficient for each airflow level of the fresh air equipment per unit volume and per unit time are retrieved from the database. Combined with the building's set time for early activation of fresh air equipment in certain floors, the following calculations are performed. , , The first set of fresh air equipment The overall air quality coefficient for each air volume level, calculated per unit volume and per unit time. The number indicating the air volume level of the fresh air system. , For the first The volume of the target region Indicates the first The comprehensive air quality coefficient for each target area Indicates the target area number. , The deviation of the preset comprehensive air quality coefficient is used to compare and select the corresponding wind volume level for each target area; The fresh air equipment adjustment and control module is used to obtain the air volume level corresponding to each floor area and adjust and control the fresh air equipment corresponding to the corresponding air volume level in each floor area. The actual arrival time acquisition module is used to obtain the actual arrival time of users in each floor area; The secondary adjustment and control module for fresh air equipment is used to obtain the operating duration of fresh air equipment in each floor area and analyze the compliance influence coefficient of each floor area for each air volume level. The secondary air volume level corresponding to each floor area is selected, and then the secondary air volume level of the fresh air equipment corresponding to each floor area is adjusted and controlled. After confirming the actual arrival time of users in each floor area, analyze the current comprehensive air quality coefficient of each floor area. Then and For comparison, if the current comprehensive air quality coefficient of a certain floor area is less than... Then calculate , , The first set of fresh air equipment The overall air quality coefficient for each air volume level, calculated per unit volume and per unit time. The volume of this floor area. The comprehensive air quality coefficient of the current floor area is used to compare and select the corresponding air volume level for secondary adjustment of the floor area. The database is used to store the reservation methods and user registration information of users corresponding to each floor area in the target building, as well as the volume of each area, the distance from the elevator to each area, the work area information of historical users in each area, and the comprehensive air quality adjustment coefficient of each air volume level of the set fresh air equipment per unit volume per unit time. If the comprehensive air quality coefficient of a certain floor area is greater than or equal to If so, the airflow level of that floor area will be adjusted to the set airflow level; Then, the air volume levels corresponding to the secondary adjustment of each floor area are statistically analyzed.

2. The building fresh air energy-saving control system based on artificial intelligence according to claim 1, characterized in that: The specific analysis method for the actual arrival time of users corresponding to each floor area is as follows: The elevator is monitored in real time by the surveillance camera installed in the elevator. The facial image of the person entering the elevator is obtained and compared with the facial image in the user registration information of each floor area in the database. If the facial image of the person entering the elevator matches the facial image in the user registration information of a certain floor area, then the person entering the elevator is the user of that floor area. Then the time when the user entered the elevator is obtained and the time when the users of each floor area entered the elevator is counted. Simultaneously, the distance from the elevator to each floor area and the work area information of historical users in each floor area within a set historical time period are extracted from the database. The average speed of historical users arriving at each floor area is analyzed to calculate the actual arrival time of users corresponding to each floor area. The calculation formula is as follows: ,in Indicates the first Each floor area corresponds to the user's actual arrival time. To get from the elevator to the The distance between each floor area Indicates the first The average speed at which users historically arrived at each floor area. This indicates the speed influence factor of the set arrival area, and then analyzes the actual arrival time of users corresponding to each floor area.

3. The building fresh air energy-saving control system based on artificial intelligence according to claim 2, characterized in that: The specific analysis method for the average speed of historical users arriving at the area in each floor area is as follows: Extract the elevator entry time and door opening time of each historical user in each floor area within a set historical time period from the work area information of historical users within the set historical time period. Calculate the average speed of each historical user arriving at the area in each floor area, and then calculate the average speed of historical users arriving at the area in each floor area using the following formula: ,in Indicates the first Each floor area corresponds to the average speed at which users arrive at that area. Indicates the first The first floor area within the set historical time period The opening time of each historical user's room. Indicates the first The first floor area within the set historical time period The elevator entry time corresponding to each historical user. Indicates the number of historical users. .

4. The building fresh air energy-saving control system based on artificial intelligence according to claim 3, characterized in that: The specific analysis method for the current comprehensive air quality coefficient of each floor area is as follows: Obtain the operating time of the fresh air equipment for each floor area, and combine the volume of each floor area and the current air volume level of the fresh air equipment in each floor area with the air quality adjustment coefficient per unit volume per unit time to calculate the current air quality coefficient of each floor area. The calculation formula is as follows: ,in For the first The current comprehensive air quality coefficient for each floor area Indicates the first The current air volume level of the fresh air equipment in each floor area is the comprehensive air quality coefficient adjusted per unit volume per unit time. Indicates the first The operating time of the fresh air equipment corresponds to the floor area.

Images