CN114035461B - Automatic control intelligent building energy saving method - Google Patents
Automatic control intelligent building energy saving method Download PDFInfo
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- CN114035461B CN114035461B CN202111233738.9A CN202111233738A CN114035461B CN 114035461 B CN114035461 B CN 114035461B CN 202111233738 A CN202111233738 A CN 202111233738A CN 114035461 B CN114035461 B CN 114035461B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25257—Microcontroller
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
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Abstract
The invention belongs to the technical field of environmental energy conservation, and discloses an automatic control intelligent building energy conservation method, which comprises the following steps: the data acquisition module acquires corresponding temperature and humidity, illumination intensity, air quality and voice control commands through various data acquisition modules, and integrates and preprocesses the data; the air conditioner adjusting module adjusts the indoor temperature and humidity through the intelligent air conditioner, and the ventilation adjusting module adjusts the size of the opening through the intelligent window to perform indoor and outdoor ventilation operation; the illumination adjusting module adjusts illumination intensity through an illumination energy-saving circuit; the communication module transmits data in the whole system to cloud service through communication equipment; the cloud service module processes the whole system by utilizing a big data processing technology through the cloud server and feeds the processed whole system back to the central control module through the communication equipment. The invention can improve the accuracy and efficiency of various data processing, formulate the optimal energy-saving scheme and improve the energy-saving effect of the building.
Description
Technical Field
The invention belongs to the technical field of environmental energy conservation, and particularly relates to an automatic control intelligent building energy conservation method.
Background
At present, a building refers to an asset formed by artificial building, and belongs to the category of fixed assets, and the fixed asset comprises two major categories of houses and constructions. Houses refer to engineering structures for people to live, work, learn, produce, manage, entertain, store items and perform other social activities. A building is distinguished from a building, which refers to an engineering building outside a house, such as a fence, a road, a dam, a well, a tunnel, a water tower, a bridge, a chimney, and the like. With the development of society, intelligent building is a concept which has been raised in recent years, and means that by optimally combining the structure, system, service and management of a building according to the needs of users, an efficient, comfortable and convenient humanized building environment is provided for the users.
Along with the rapid development of Chinese economy and the continuous improvement of living standard, the happiness index of the national is continuously increased, and the next few years are the stage of the fastest development of Chinese urbanization, so that energy conservation and environmental protection become a very important work for each industry. In the face of such rapid urban development, how to realize sustainable development in the building industry, realize energy conservation, environmental protection and create a beneficial building environment is an important problem to be solved in the building industry. With the rapid development of computer science and technology and rapid penetration of application range, people have increasingly demanded intelligent buildings and intelligent energy conservation, and the concept of intelligent buildings has been more and more intensive.
To solve the problem of energy waste, new generation building electrical technology is trying to effectively control traditional building electrical equipment by adopting various advanced control modes. For example, the central control computer can monitor and control the lighting, sun-shading and air-conditioning equipment of the whole building, and can see the actual temperature of each area and each room, and can set the upper limit and the lower limit of the adjustable temperature of each room: the timing setting function is used for timing control of lights, air conditioners, curtains and the like in the office and the office. However, in the existing intelligent building energy-saving technology, the intelligent building data cannot be processed rapidly and accurately, so that an optimal intelligent building energy-saving scheme cannot be formulated, and the building energy-saving effect is poor. Therefore, a new intelligent building energy saving method is needed.
Through the above analysis, the problems and defects existing in the prior art are as follows: in the existing intelligent building energy-saving technology, intelligent building data cannot be processed rapidly and accurately, so that an optimal intelligent building energy-saving scheme cannot be formulated, and the building energy-saving effect is poor.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides an energy-saving method for an intelligent building by automatic control.
The invention is realized in such a way that the energy-saving method of the self-control intelligent building comprises the following steps:
the method comprises the steps that firstly, a data acquisition module acquires corresponding temperature and humidity, illumination intensity, air quality and voice control commands of a building environment through the data acquisition module, and integrates, pre-processes and cleans data; the preprocessing comprises the steps of simply cleaning, normalizing and transforming various acquired data;
the central control module is respectively connected with the data acquisition module, the air conditioning adjustment module, the ventilation adjustment module, the illumination adjustment module and the communication module to coordinate the normal operation of each module; meanwhile, according to the data in the whole system, data analysis, optimization, alarm and storage operations are carried out; the data analysis comprises weight analysis according to the association degree of the preprocessed building environment data and the intelligent building, and comprises the following steps:
acquiring relation coefficients between the preprocessed building environment data and intelligent building data; the method for calculating the relation coefficient between the building environment data and the intelligent building data comprises the following steps:
wherein N is ij A relationship coefficient representing the ith building environment data relative to the jth building environment data; when i=j, the relation coefficient of the ith building environment data relative to the jth building environment data is 1; when i is not equal to j, the relation coefficient of the ith building environment data to the jth building environment data isWherein Y is ij Representing the relation value of the ith building environment data relative to the jth building environment data, n being the total amount of the building environment data, Y ij The initial value is 1;
based on the relation coefficient between the building environment data and the intelligent building, performing intelligent building energy-saving analysis;
the central processing unit acquires analysis feedback data, and adjusts the energy-saving condition of the intelligent building based on the feedback information;
step three, the air conditioner adjusting module adjusts the indoor temperature and humidity through the intelligent air conditioner, and the ventilation adjusting module adjusts the size of the opening through the intelligent window to perform indoor and outdoor ventilation operation;
step four, the illumination adjusting module adjusts illumination intensity through an illumination energy-saving circuit; the communication module transmits data in the whole system to cloud service through communication equipment; the cloud service module processes the whole system by utilizing a big data processing technology through the cloud server and feeds the processed big data back to the central control module through the communication equipment.
In the first step, the data acquisition module comprises a temperature and humidity acquisition unit, an illumination intensity acquisition unit, an air quality acquisition unit and a voice acquisition unit; the data cleaning comprises the steps of carrying out de-duplication, de-noising, abnormal value and missing value processing on the preprocessed data.
Further, the process of the temperature and humidity acquisition module for processing the signals comprises the following steps:
the analog-to-digital conversion module converts the analog signal into a digital signal and discretizes the independent variable and the amplitude simultaneously;
after the analog-to-digital conversion is completed, carrying out transform domain analysis, signal filtering, identification and synthesis on the signals;
the digital-to-analog conversion module restores the processed digital signals into analog signals, and extracts, converts, analyzes and comprehensively processes the signals.
Further, the signal filtering process includes:
acquiring the frequency and amplitude of an electric signal, opening a memory buffer area for temporarily storing the information of the electric signal and initializing to 0;
and scanning the electric signals, obtaining the average value of the electric signals, taking the average value of the electric signals as a middle value, and giving the acquired electric signals.
Further, in the first step, the process of integrating the data by the data acquisition module includes:
respectively extracting corresponding target features according to the acquired temperature and humidity, illumination intensity, air quality and voice control command;
and obtaining the feature quantity of the fusion target through a fusion algorithm, and carrying out target classification and identification to realize feature fusion.
Further, in the first step, the data acquisition module performs a preprocessing process on the data, including:
modeling and predicting missing values of the data set according to the acquired temperature and humidity, illumination intensity and air quality data;
classifying the data, and interpolating the missing values by the average value of the samples in the class.
Further, the modeling prediction process includes:
predicting the missing attribute as a prediction target, classifying the data set into two types according to whether the missing value of the specific attribute is contained, and predicting the missing value of the data set to be predicted by using the existing machine learning algorithm;
the process for classifying the data comprises the following steps:
determining groups of classes to use and randomly initialize their respective center points; each data point is classified by calculating the distance between the point and the center of each group, and then classifying this point as the group closest to it;
based on these classification points, re-computing the group center by taking the mean of all vectors in the group; the above process is repeated until all data classification is completed.
Further, in the third step, the ventilation adjusting module adjusts the size of the opening through the intelligent window to perform indoor and outdoor ventilation operations, including:
a sliding rail is arranged on the upper part and the lower part of the window frame, an electric sliding block is arranged on the sliding rail in a sliding way, and glass is arranged on the electric sliding block; the window frame is divided into two parts, wherein one part is fixed glass, and the other part is adjusting glass;
a displacement sensor is arranged on the electric sliding block to detect and adjust the position of the glass; the central control module is connected with the electric sliding block, so that the electric sliding block moves left and right on the sliding rail, and further the glass is driven to move left and right.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing the self-controlling intelligent building energy saving method when executed on an electronic device.
It is another object of the present invention to provide a computer readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the self-controlling intelligent building energy conservation method.
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the self-control intelligent building energy-saving method provided by the invention, the data acquisition module is used for acquiring the corresponding temperature and humidity, illumination intensity, air quality and voice control command, so that comprehensive data can be acquired, reliable data can be provided for intelligent building energy saving, and the building energy saving effect is improved. According to the intelligent indoor air conditioner, the air conditioning module is used for adjusting indoor temperature and humidity through the intelligent air conditioner, the ventilation adjusting module is used for adjusting the size of an opening through the intelligent window, indoor and outdoor ventilation operation is carried out, and indoor temperature and humidity and air quality can be changed. Meanwhile, the cloud service module processes the whole system by utilizing a big data processing technology through the cloud server and feeds back the processed data to the central control module through the communication equipment, so that the accuracy and efficiency of various data processing can be improved, an optimal energy-saving scheme can be formulated, and the energy-saving effect of a building can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly explain the drawings needed in the embodiments of the present application, and it is obvious that the drawings described below are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of an energy saving method for an intelligent building by automatic control according to an embodiment of the invention.
Fig. 2 is a flowchart of a data analysis method according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for processing signals by the temperature and humidity acquisition module according to an embodiment of the present invention.
Fig. 4 is a flowchart of a data classification method according to an embodiment of the present invention.
Fig. 5 is a flowchart of a method for performing indoor and outdoor ventilation operations by adjusting the size of an opening of a ventilation adjusting module provided by an embodiment of the present invention through an intelligent window.
Detailed Description
The present invention will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Aiming at the problems existing in the prior art, the invention provides an automatic control intelligent building energy-saving method, and the invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the method for automatically controlling energy saving of intelligent building provided by the embodiment of the invention comprises the following steps:
s101, a data acquisition module acquires corresponding temperature and humidity, illumination intensity, air quality and voice control commands through various data acquisition modules, and integrates, pre-processes and cleans the data;
s102, a central control module is respectively connected with a data acquisition module, an air conditioning adjustment module, a ventilation adjustment module, an illumination adjustment module and a communication module to coordinate the normal operation of each module; meanwhile, according to the data in the whole system, data analysis, optimization, alarm and storage operations are carried out;
s103, the air conditioner adjusting module adjusts the indoor temperature and humidity through the intelligent air conditioner, and the ventilation adjusting module adjusts the size of the opening through the intelligent window to perform indoor and outdoor ventilation operation;
s104, the illumination adjusting module adjusts illumination intensity through an illumination energy-saving circuit; the communication module transmits data in the whole system to cloud service through communication equipment; the cloud service module processes the whole system by utilizing a big data processing technology through the cloud server and feeds the processed whole system back to the central control module through the communication equipment.
In step S101 provided by the embodiment of the present invention, the data acquisition module includes a temperature and humidity acquisition module, an illumination intensity acquisition module, an air quality acquisition module, and a voice acquisition module.
In step S101 provided by the embodiment of the present invention, the preprocessing includes performing simple cleaning, normalization and transformation processing on various collected data; the data cleaning comprises the steps of carrying out de-duplication, de-noising, abnormal value and missing value processing on the preprocessed data.
As shown in fig. 2, in step S102 provided by the embodiment of the present invention, the data analysis includes performing weight analysis according to the association degree between the preprocessed building environment data and the intelligent building, including:
s201, acquiring relation coefficients between the preprocessed building environment data and intelligent building data;
s202, performing intelligent building energy conservation analysis based on relation coefficients of building environment data and intelligent buildings;
s203, the central processing unit acquires analysis feedback data, and adjusts the intelligent building energy-saving condition based on the feedback information.
The method for calculating the relation coefficient between the building environment data and the intelligent building data provided by the embodiment of the invention comprises the following steps:
wherein N is ij A relationship coefficient representing the ith building environment data relative to the jth building environment data; when i=j, the relation coefficient of the ith building environment data relative to the jth building environment data is 1; when i is not equal to j, the relation coefficient of the ith building environment data to the jth building environment data isWherein Y is ij Representing the relation value of the ith building environment data relative to the jth building environment data, n being the total amount of the building environment data, Y ij The initial value is 1.
As shown in fig. 3, a specific process of processing a signal by the temperature and humidity acquisition module provided by the embodiment of the invention is as follows:
s301, an analog-to-digital conversion module changes an analog signal into a digital signal, and discretizes an independent variable and an amplitude value simultaneously;
s302, after analog-to-digital conversion is completed, carrying out transform domain analysis, signal filtering, identification and synthesis on the signals;
s303, the digital-to-analog conversion module restores the processed digital signals into analog signals, and extracts, converts, analyzes and comprehensively processes the signals.
The specific process of signal filtering provided by the embodiment of the invention is as follows:
acquiring the frequency and amplitude of an electric signal, opening a memory buffer area for temporarily storing the information of the electric signal and initializing to 0; and scanning the electric signals, obtaining the average value of the electric signals, taking the average value of the electric signals as a middle value, and giving the acquired electric signals.
In step S101 provided in the embodiment of the present invention, a specific process of integrating data by the data acquisition module is:
respectively extracting corresponding target features according to the acquired temperature and humidity, illumination intensity, air quality and voice control command;
and obtaining the feature quantity of the fusion target through a fusion algorithm, and carrying out target classification and identification to realize feature fusion.
In step S101 provided in the embodiment of the present invention, the specific process of preprocessing data by the data acquisition module is: modeling and predicting missing values of the data set according to the acquired temperature and humidity, illumination intensity and air quality data; classifying the data, and interpolating the missing values by the average value of the samples in the class.
The modeling prediction concrete process provided by the embodiment of the invention comprises the following steps:
predicting the missing attribute serving as a prediction target, classifying the data set into two types according to whether the missing value of the specific attribute is contained, and predicting the missing value of the data set to be predicted by using the existing machine learning algorithm.
As shown in fig. 4, the specific process of classifying data provided by the embodiment of the present invention is:
s401, determining some class groups to use and randomly initialize their respective center points;
s402, classifying each data point by calculating the distance between the point and the center of each group, and classifying the point as the group closest to the point;
s403, recalculating the group center by taking the average value of all vectors in the group based on the classification points; the above process is repeated until all data classification is completed.
As shown in fig. 5, in step S103 provided by the embodiment of the present invention, the ventilation adjustment module adjusts the size of the opening through the intelligent window, so as to perform a specific indoor and outdoor ventilation operation process:
s501, a sliding rail is arranged on the upper side and the lower side of the window frame, an electric sliding block is arranged on the sliding rail in a sliding mode, and glass is arranged on the electric sliding block;
s502, a displacement sensor is arranged on the electric sliding block, and the position of the adjusting glass is detected;
s503, the central control module is connected with the electric sliding block, so that the electric sliding block moves left and right on the sliding rail, and further the glass is driven to move left and right.
The window frame provided by the embodiment of the invention is divided into two parts, wherein one part is fixed glass, and the other part is adjusting glass;
the self-control pair intelligent building energy-saving system provided by the embodiment of the invention comprises:
the data acquisition module 1 acquires corresponding temperature and humidity, illumination intensity, air quality and voice control commands through various data acquisition modules and performs integrated pretreatment on the data.
The central control module 2 is respectively connected with the data acquisition module 1, the air conditioning and adjusting module 3, the ventilation and adjusting module 4, the illumination and adjusting module 5 and the communication module 6, and coordinates the normal operation of each module; and meanwhile, according to the data in the whole system, the operations such as data analysis, optimization, alarm and the like are performed.
The air conditioner adjusting module 3 adjusts indoor temperature and humidity through the intelligent air conditioner.
And the ventilation adjusting module 4 adjusts the size of the opening through the intelligent window to perform indoor and outdoor ventilation operation.
The illumination adjustment module 5 adjusts illumination intensity by an illumination energy-saving circuit.
The communication module 6 transfers the data in the whole system to the cloud service through the communication device.
The cloud service module 7 processes the whole system by using a big data processing technology through a cloud server and feeds the processed whole system back to the central control module through communication equipment.
In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more; the terms "upper," "lower," "left," "right," "inner," "outer," "front," "rear," "head," "tail," and the like are used as an orientation or positional relationship based on that shown in the drawings, merely to facilitate description of the invention and to simplify the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When used in whole or in part, is implemented in the form of a computer program product comprising one or more computer instructions. When loaded or executed on a computer, produces a flow or function in accordance with embodiments of the present invention, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), etc.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the invention is not limited thereto, but any modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present invention will be apparent to those skilled in the art within the scope of the present invention.
Claims (9)
1. The automatic control intelligent building energy saving method is characterized by comprising the following steps of:
the method comprises the steps that firstly, a data acquisition module acquires corresponding temperature and humidity, illumination intensity, air quality and voice control commands of a building environment through the data acquisition module, and integrates, pre-processes and cleans data; the preprocessing comprises the steps of simply cleaning, normalizing and transforming various acquired data;
the central control module is respectively connected with the data acquisition module, the air conditioning adjustment module, the ventilation adjustment module, the illumination adjustment module and the communication module to coordinate the normal operation of each module; meanwhile, according to the data in the whole system, data analysis, optimization, alarm and storage operations are carried out; the data analysis comprises weight analysis according to the association degree of the preprocessed building environment data and the intelligent building, and comprises the following steps:
acquiring relation coefficients between the preprocessed building environment data and intelligent building data; the method for calculating the relation coefficient between the building environment data and the intelligent building data comprises the following steps:
wherein N is ij A relationship coefficient representing the ith building environment data relative to the jth building environment data; when i=j, the relation coefficient of the ith building environment data relative to the jth building environment data is 1; when i is not equal to j, the relation coefficient of the ith building environment data to the jth building environment data isWherein Y is ij Representing the relation value of the ith building environment data relative to the jth building environment data, n being the total amount of the building environment data, Y ij The initial value is 1;
based on the relation coefficient between the building environment data and the intelligent building, performing intelligent building energy-saving analysis;
the central processing unit acquires analysis feedback data, and adjusts the energy-saving condition of the intelligent building based on the feedback information;
step three, the air conditioner adjusting module adjusts the indoor temperature and humidity through the intelligent air conditioner, and the ventilation adjusting module adjusts the size of the opening through the intelligent window to perform indoor and outdoor ventilation operation;
step four, the illumination adjusting module adjusts illumination intensity through an illumination energy-saving circuit; the communication module transmits data in the whole system to cloud service through communication equipment; the cloud service module processes the whole system by utilizing a big data processing technology through the cloud server and feeds the processed big data back to the central control module through the communication equipment.
2. The method for automatically controlling energy saving of intelligent building according to claim 1, wherein in the first step, the data acquisition module comprises a temperature and humidity acquisition unit, an illumination intensity acquisition unit, an air quality acquisition unit and a voice acquisition unit; the data cleaning comprises the steps of carrying out de-duplication, de-noising, abnormal value and missing value processing on the preprocessed data.
3. The method for automatically controlling and saving energy of intelligent building according to claim 2, wherein the process of processing the signals by the temperature and humidity acquisition unit comprises the following steps:
the analog-to-digital conversion module converts the analog signal into a digital signal and discretizes the independent variable and the amplitude simultaneously;
after the analog-to-digital conversion is completed, carrying out transform domain analysis, signal filtering, identification and synthesis on the signals;
the digital-to-analog conversion module restores the processed digital signals into analog signals, and extracts, converts, analyzes and comprehensively processes the signals.
4. A method of automatically controlling energy conservation for intelligent buildings as claimed in claim 3, wherein the signal filtering process comprises:
acquiring the frequency and amplitude of an electric signal, opening a memory buffer area for temporarily storing the information of the electric signal and initializing to 0;
and scanning the electric signals, obtaining the average value of the electric signals, taking the average value of the electric signals as a middle value, and giving the acquired electric signals.
5. The method for automatically controlling energy saving of intelligent building according to claim 1, wherein in the first step, the process of integrating the data by the data acquisition module comprises:
respectively extracting corresponding target features according to the acquired temperature and humidity, illumination intensity, air quality and voice control command;
and obtaining the feature quantity of the fusion target through a fusion algorithm, and carrying out target classification and identification to realize feature fusion.
6. The method for automatically controlling and saving energy in intelligent buildings according to claim 1, wherein in the first step, the data acquisition module performs a preprocessing process on data, comprising:
modeling and predicting missing values of the data set according to the acquired temperature and humidity, illumination intensity and air quality data;
classifying the data, and interpolating the missing values by the average value of the samples in the class.
7. The method for automatically controlling energy conservation of intelligent buildings according to claim 6, wherein the modeling and predicting process comprises the following steps:
predicting the missing attribute as a prediction target, classifying the data set into two types according to whether the missing value of the specific attribute is contained, and predicting the missing value of the data set to be predicted by using the existing machine learning algorithm;
the process for classifying the data comprises the following steps:
determining groups of classes to use and randomly initialize their respective center points; each data point is classified by calculating the distance between the point and the center of each group, and then classifying this point as the group closest to it;
based on these classification points, re-computing the group center by taking the mean of all vectors in the group; the above process is repeated until all data classification is completed.
8. The method of automatically controlling energy saving for intelligent buildings according to claim 1, wherein in the third step, the ventilation adjusting module adjusts the size of the opening through the intelligent window to perform indoor and outdoor ventilation operations, comprising:
a sliding rail is arranged on the upper part and the lower part of the window frame, an electric sliding block is arranged on the sliding rail in a sliding way, and glass is arranged on the electric sliding block; the window frame is divided into two parts, wherein one part is fixed glass, and the other part is adjusting glass;
a displacement sensor is arranged on the electric sliding block to detect and adjust the position of the glass; the central control module is connected with the electric sliding block, so that the electric sliding block moves left and right on the sliding rail, and further the glass is driven to move left and right.
9. A computer readable storage medium storing instructions which, when run on a computer, cause the computer to perform the self-controlling intelligent building energy conservation method of any one of claims 1 to 8.
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