CN113685962A - Machine room temperature efficient control method and system based on correlation analysis - Google Patents
Machine room temperature efficient control method and system based on correlation analysis Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
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- F24F11/00—Control or safety arrangements
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- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
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- F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
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Abstract
The invention relates to a high-efficiency control method and a system for the temperature of a machine room based on correlation analysis, wherein the method comprises the steps of collecting the operation parameter data of each air conditioning device in the machine room and the temperature data of a temperature sensing device; preprocessing the acquired data; extracting an air conditioning equipment operation parameter and a corresponding temperature-sensing temperature correlation data set according to the data obtained after the pretreatment, and removing repeated samples; analyzing the correlation between the temperature data of each temperature sensor and the operation parameter data of each air conditioning equipment, and calculating the correlation between the temperature sensor and each air conditioning equipment; generating an air conditioner regulation and control strategy according to the correlation analysis result; by adopting the method, a more targeted regulation and control strategy can be obtained, so that the regulation and control efficiency is improved, and the energy consumption is saved.
Description
Technical Field
The invention relates to the technical field of control of air conditioners in a machine room, in particular to a high-efficiency control method and a high-efficiency control system for temperature of the machine room based on correlation analysis.
Background
With the rapid popularization of 5G communication, the scale of data centers is getting bigger and bigger, and the importance is also continuously promoted; the data center machine room needs to maintain the ambient temperature in a proper range by means of air conditioning equipment, so that the problems of server damage, data loss and the like caused by overhigh temperature are avoided; however, unreasonable air conditioner regulation and control and redundancy of refrigerating capacity sharply increase the operation cost and operation and maintenance difficulty of the data center, so that intensive research needs to be carried out on the air conditioner regulation and control of the machine room to realize energy conservation, emission reduction, safety and stability of the data center.
In the existing method for regulating and controlling the air conditioner of the machine room, operation and maintenance personnel can select the air conditioner closest to the temperature when the temperature of the temperature is abnormal to regulate and control, the interference of the airflow mode of the machine room is not considered, the precision in the selection of regulating and controlling equipment and operation parameters is not high, and the regulation and control benefit of the air conditioner is low; in addition, the spatial layout, the air conditioner brand and model and the air conditioner operation parameters of different machine rooms are different, and the judgment experience of the correlation between the temperature sense and the air conditioner accumulated in one machine room cannot be applied to other machine rooms.
Disclosure of Invention
Therefore, it is necessary to provide a machine room temperature efficient control method and system based on correlation analysis to solve the problems of low accuracy and poor universality of the existing method for manually regulating and controlling the air conditioning of the machine room by operation and maintenance personnel.
The invention discloses a machine room temperature efficient control method based on correlation analysis, which comprises the following steps:
step S1: collecting operation parameter data of each air conditioning device in a machine room and temperature data of temperature sensing devices;
step S2: preprocessing the acquired data;
step S3: removing samples with repeated air conditioner operation parameter combinations according to the data obtained after the preprocessing;
step S4: calculating the correlation between the temperature data of each temperature and the operation parameter data of each air conditioning device, and calculating the correlation between the temperature and each air conditioning device;
step S5: and generating an air conditioner regulation and control strategy according to the correlation analysis result.
In the step 1, the time of the collected data is not less than 6 months, and the collected air conditioners are of different brands or models.
In the step 1, during data acquisition, the operation parameters of the air conditioner are changed and controlled and set based on preset parameters, so that the diversity of air conditioner parameter combinations is improved.
In step 1, the operating parameter data of the air conditioning equipment includes, but is not limited to, an air conditioner on-off state, a temperature set value, a compressor 1/2 on-off state, and a fan speed.
In step S2, the specific method of the preprocessing operation is as follows:
step S2-1: carrying out numerical conversion on the non-numerical operation parameter data of the air conditioning equipment;
step S2-2: removing abnormal values based on the actually adjustable and controllable interval range of the operation parameters;
and step S2-3, filling the missing values by adopting a forward filling method and a mean filling method respectively according to different parameter value characteristics.
In step S3, the method for removing the duplicate samples of the air conditioner operation parameter combinations is as follows:
judging whether each time point related to the data meets the condition that the operation parameters of all air-conditioning equipment are kept unchanged within the last t minutes, and screening all the time points meeting the conditions;
extracting the operation parameter data of each air-conditioning device and the temperature data of each temperature sensing device at a time point to generate an air-conditioning device operation parameter and corresponding temperature sensing temperature correlation data set;
and traversing the data set, and removing repeated samples of the air conditioner operation parameter combination for ensuring the uniqueness of the air conditioner operation parameter combination.
In step S4, the correlation between the temperature data of each temperature sensor and the operating parameter data of each air conditioner is calculated by the pearson correlation analysis method, and the correlation between the temperature sensor and each air conditioner is calculated, which specifically includes the following steps:
step S4-1: numbering temperature, air conditioning equipment and different kinds of operation parameters;
step S4-2: calculating correlation coefficient between temperature of temperature and operation parameter of air conditioning equipment by using Pearson correlation analysis method
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Step S4-3: the weight of the air conditioner operation parameter index is predefined, and the formula is as follows:
wherein M, N is the number of temperature sensors and air conditioners, respectively, and is TmTemperature data K representing the mth temperature in the data set relating the operation parameter of the air conditioning equipment extracted at S3 and the corresponding temperaturenyThe y-th operation parameter data of the nth air conditioner in the sample data set extracted in the S3 is represented; z =1,2, …, Z representing Z air conditioner operating parameters having a correlation with temperature-sensing temperature;
step S4-4: the correlation between the temperature sensing temperature and the air conditioning equipment is analyzed, and the correlation formula is as follows:
in step S5, the method for specifically generating the air conditioner regulation and control strategy is as follows:
step S001: screening air conditioners strongly related to target temperature sensitivity: according to the correlation analysis results of the target temperature and N air-conditioning devices in the machine room, the front f air-conditioners with the highest correlation are screened out, and the screening formula is as follows:
step S002: screening the adjustable air conditioner: the air conditioner is shut down and the air conditioner is started but the temperature set value is higher than
The air conditioner is started but only 0 or 1 compressor is started, and the air conditioner is started but the average rotating speed of the fan is less than 70% within ten minutes, so that the condition that any item of the conditions indicates that the air conditioner has a refrigerating space is met, namely the air conditioner is the actual adjustable air conditioner;
step S003: screening adjustable parameters of the adjustable air conditioner: for each adjustable air conditioner, according to the current operating parameter data of the air conditioner and the weight of the influence of each operating parameter on the temperature sensing temperature, the adjustable operating parameters are screened from the operating parameters related to the temperature sensing temperature; when the on-off state of the air conditioner is off, the on-off state of the air conditioner is one of the adjustable and controllable operation parameters of the air conditioner; when the temperature set point is higher than
The temperature set value is one of the adjustable parameters of the air conditioner; when the operation state of the compressor 1/2 is off, the operation state of the compressor 1/2 is one of the adjustable parameters of the air conditioner; when the average rotating speed of the fan is less than 70% within ten minutes, the rotating speed of the fan is one of the adjustable and controllable parameters of the air conditioner;
step S004: generating a strategy for regulation; the temperature of the machine room is changed by regulating and controlling the on-off state of the air conditioner, the temperature set value, the running state of the compressor or the rotating speed of the fan.
A machine room temperature efficient control system based on correlation analysis, the apparatus comprising:
a data acquisition module: the system is used for acquiring the operation parameter data of each air conditioning device in the machine room and the temperature data of the temperature sensing device;
a data preprocessing module: preprocessing the acquired data;
a data set extraction module: extracting an air conditioning equipment operation parameter and a corresponding temperature-sensing temperature correlation data set according to the data obtained after the pretreatment, and removing repeated samples;
the temperature and air conditioner correlation analysis module comprises: analyzing the correlation between the temperature data of each temperature sensor and the operation parameter data of each air conditioning equipment, and calculating the correlation between the temperature sensor and each air conditioning equipment;
the air conditioner regulation and control selection module: and generating an air conditioner regulation and control strategy according to the correlation analysis result.
According to the invention, the relevance between the temperature data of each temperature and each air-conditioning device and operation parameters can be analyzed according to the temperature-sensitive temperature data of the machine room air conditioner kept in different operation states, the relevance between the temperature-sensitive temperature and each air-conditioning device and operation parameters can be calculated, and when the temperature-sensitive temperature is optimized, the relevance between the temperature-sensitive temperature and the air-conditioning device and the operation parameters can be used as a basis for selecting and controlling the air-conditioning device and the operation parameters, so that a more specific control strategy can be obtained, the accuracy of control operation is effectively improved, the control efficiency is improved, and the inefficient control and energy consumption waste are avoided; in addition, the method is suitable for different air conditioner brands and models, different air conditioner operation parameters and different machine room layouts, and has a wide application range.
Drawings
Fig. 1 is a detailed flow diagram of a machine room temperature efficient control method based on correlation analysis according to an embodiment of the present invention;
fig. 2 is a detailed flow diagram of data preprocessing in a machine room temperature efficient control method based on correlation analysis according to an embodiment of the present invention;
fig. 3 is a detailed flowchart illustrating a correlation analysis of correlation between temperature sensing and air conditioner operation parameters in a machine room temperature efficient control method based on correlation analysis according to an embodiment of the present invention;
fig. 4 is a schematic main functional diagram of a machine room temperature efficient control system based on correlation analysis according to an embodiment of the present invention;
fig. 5 is a detailed flow diagram of a method for controlling a refrigeration air conditioner of a machine room air cabinet on the basis of correlation analysis under a high temperature condition according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a machine room temperature efficient control method based on correlation analysis, and a flow chart of the method is shown in fig. 1, and specifically comprises the following steps:
s1: collecting operation parameter data of each air conditioning device in a machine room and temperature data of temperature sensing devices;
in the embodiment of the invention, the time duration of data acquisition is not less than 6 months, wherein the acquired air conditioners can be of different brands or models, during the data acquisition, the operation parameters of the specified air conditioner are artificially and purposefully changed and controlled to improve the diversity of the air conditioner parameter combination, and the air conditioner operation parameters include but are not limited to: air conditioner on-off state, temperature set point, compressor 1/2 on-off state, fan speed.
S2: preprocessing the acquired data;
in the embodiment of the invention, the preprocessing operations are as follows: the flow chart of the preprocessing operation is shown in fig. 2, and specifically includes:
s2-1: carrying out numerical conversion on the non-numerical operation parameter data of the air conditioning equipment, such as: the on-off states of an air conditioner switch and a compressor are represented by 0, and 1 represents off;
s2-2: based on the actual adjustable interval range of the operation parameters, removing abnormal values, such as: the temperature set value data or the fan rotating speed data exceed the actual adjustable range of the air conditioner;
s2-3, filling missing values by adopting a forward filling method and a mean filling method respectively according to different parameter value characteristics, such as: and filling missing values of the on-off state data of the air-conditioner compressor by adopting a forward filling method, and filling missing values of the temperature-sensitive temperature data by adopting a mean value filling method.
S3: extracting an air conditioning equipment operation parameter and a corresponding temperature-sensing temperature correlation data set according to the data obtained after the pretreatment, and removing repeated samples;
in the embodiment of the invention, whether each time point related to the data meets the condition that the operation parameters of all air-conditioning equipment are kept unchanged within the past t minutes is judged, all the time points meeting the condition are screened, the operation parameter data of all the air-conditioning equipment and the temperature data of all the temperature sensing equipment at the time points are extracted, a data set related to the operation parameters of the air-conditioning equipment and the corresponding temperature sensing temperature is generated, the data set is traversed, and repeated samples of the combination of the operation parameters of the air-conditioner are removed, so that the uniqueness of the combination of the operation parameters of the air-conditioner is ensured.
S4: analyzing the correlation between the temperature data of each temperature sensor and the operation parameter data of each air conditioning equipment, and calculating the correlation between the temperature sensor and each air conditioning equipment;
in the embodiment of the present invention, the correlation between each temperature-sensitive temperature data and each air-conditioning equipment operation parameter data is calculated by a pearson correlation analysis method, and the correlation between the temperature-sensitive temperature and each air-conditioning equipment is calculated, where a flow chart of the analysis method is shown in fig. 3, and specifically includes:
s4-1: assuming that M temperature sensors exist in a machine room, N air conditioners collect Y types of air conditioner operation parameter data together, numbering the temperature sensors 1,2,.
S4-2: by TmTemperature data K representing the mth temperature in the data set relating the operation parameter of the air conditioning equipment extracted at S3 and the corresponding temperaturenyRepresenting the operation parameter data of the nth air conditioner in the sample data set extracted at S3, wherein M =1, 2.. M, N =1, 2.. N, Y =1, 2.. Y; calculation of T Using Pearson correlation analysismAnd KnyCoefficient of correlation of
And taking an absolute value, if the air conditioner has no operation parameter, KnyThe data is null and the corresponding correlation coefficient is 0;
s4-3: defining a weight for the influence of each air conditioner operation parameter on the temperature, firstly calculating the mean value of the correlation coefficient of each operation parameter between each air conditioner and each temperature sensing temperature:
for each air conditioner operation parameter Y, if the operation parameter is weak or irrelevant to the temperature sensing temperature, removing the operation parameter with the E value smaller than 0.3 from the Y air conditioner operation parameter sets in the step S4-1, wherein the rest Z operation parameters are the operation parameters with obvious relevance to the temperature sensing temperature, renumbering 1,2,.
S4-4: calculating a correlation coefficient between the temperature-sensitive temperature and each air-conditioning equipment according to the correlation calculation result between each temperature-sensitive and different operation parameters of each air-conditioning equipment in the step S4-2, the operation parameters which are screened in the step S4-3 and have correlation with the temperature-sensitive temperature and the weight thereof, wherein the correlation coefficient calculation formula of the mth temperature-sensitive temperature and the nth air-conditioning equipment is as follows:
s5: and generating an air conditioner regulation and control strategy according to the correlation analysis result.
In the embodiment of the present invention, when the room temperature sensing temperature exceeds the ideal range and the air conditioner needs to be controlled, the controllable air conditioner and the operation parameters thereof are selected according to the analysis result of the correlation between the target temperature sensing and the air conditioner, the weight of the influence of each operation parameter on the temperature sensing temperature, and the actual operation condition of the air conditioner, and the control strategy corresponding to each controllable parameter of the air conditioner is generated according to the expert experience rule, as shown in fig. 5, specifically, the method includes:
s001: according to the correlation analysis result of the target temperature and N air conditioners in the machine room, the front f air conditioners with the highest correlation are screened out, namely the air conditioners with the stronger correlation with the target temperature in the machine room, wherein:
s002: based on the current operating parameter data of the air conditioner in the machine room, whether the air conditioner screened by the S001 has a refrigerating space is judged, if: the air conditioner is shut down and the air conditioner is started but the temperature set value is higher than
The air conditioner is started but only 0 or 1 compressor is started, the air conditioner is started but the average rotating speed of the fan is less than 70% in nearly ten minutes, and the like, so that any item is met, that is, the air conditioner has a refrigerating space, that is, the air conditioner is actually adjustable and controllable;
s003: screening adjustable parameters of the adjustable air conditioner: for each adjustable air conditioner, according to the current operating parameter data of the air conditioner and the weight of the influence of each operating parameter on the temperature sensing temperature, the adjustable operating parameters are screened from the operating parameters related to the temperature sensing temperature; when the on-off state of the air conditioner is off, the on-off state of the air conditioner is one of the adjustable and controllable operation parameters of the air conditioner; when the temperature set point is higher than
The temperature set value is one of the adjustable parameters of the air conditioner; when the operation state of the compressor 1/2 is off, the operation state of the compressor 1/2 is one of the adjustable parameters of the air conditioner; when the average rotating speed of the fan is less than 70% within ten minutes, the rotating speed of the fan is one of the adjustable and controllable parameters of the air conditioner;
s004: after the air conditioners, the controllable air conditioners and the controllable parameters which are strongly related to the target temperature sensitivity are determined, a regulation strategy corresponding to each controllable parameter of each air conditioner is generated by combining expert experience rules, wherein the regulation strategy can be as follows: if the on-off state of the air conditioner is off, the air conditioner is adjusted to be on, the temperature set value is adjusted to be low in the effective temperature set range, if the running state of the compressor 1/2 is off, the air conditioner is adjusted to be on, and the rotating speed of the fan is adjusted to be high in the effective rotating speed range; and selecting a regulation strategy for regulation and control by the operation and maintenance personnel, and judging whether the corresponding strategy needs to be continuously selected for regulation and control according to whether the temperature sensing temperature reaches the expectation after the strategy is executed.
Based on the content in the foregoing method, an embodiment of the present invention provides a machine room temperature efficient control system based on correlation analysis, and a main functional schematic diagram of the system is shown in fig. 4, which specifically includes:
a data acquisition module: the system is used for acquiring the operation parameter data of each air conditioning device in the machine room and the temperature data of the temperature sensing device;
a data preprocessing module: preprocessing the acquired data;
a data set extraction module: extracting an air conditioning equipment operation parameter and a corresponding temperature-sensing temperature correlation data set according to the data obtained after the pretreatment, and removing repeated samples;
the temperature and air conditioner correlation analysis module comprises: analyzing the correlation between the temperature data of each temperature sensor and the operation parameter data of each air conditioning equipment, and calculating the correlation between the temperature sensor and each air conditioning equipment;
the air conditioner regulation and control selection module: and generating an air conditioner regulation and control strategy according to the correlation analysis result.
Acquiring adjustable and controllable operation parameter data of each air conditioner of a data center machine room of not less than 6 months and temperature data of temperature sensing equipment, screening and extracting temperature sensing temperature data of the air conditioner in different operation states, analyzing the correlation between the temperature sensing temperature and each operation parameter of each air conditioner, and calculating the correlation between the temperature sensing temperature and the air conditioner; when a certain temperature-sensing temperature needs to be controlled, the relevance of the temperature-sensing temperature, the air-conditioning equipment and the operation parameters is used as a basis for selecting the regulation and control of the air-conditioning equipment and the regulation and control of the operation parameters, and a more targeted regulation and control strategy can be obtained, so that the regulation and control efficiency is improved, and the energy consumption of a machine room is saved.
Based on the content in the method, the embodiment of the invention provides a machine room air conditioner regulation and control method based on correlation analysis, and the flow schematic diagram of the method is shown in fig. 5, and specifically comprises the following steps:
step S001: screening air conditioners strongly related to target temperature; when a certain temperature of a machine room is higher and needs to be controlled, according to the correlation analysis result of the target temperature and N air-conditioning devices of the machine room, screening out the front f air-conditioners with the highest correlation, namely the air-conditioning devices with stronger correlation with the target temperature in the machine room, wherein:
step S002: screening an adjustable air conditioner; based on the current operating parameter data of the air conditioner in the machine room, whether the air conditioner screened by the S001 has a refrigerating space is judged, if: the air conditioner is shut down and the air conditioner is started but the temperature set value is higher than
The air conditioner is started but only 0 or 1 compressor is started, the air conditioner is started but the average rotating speed of the fan is less than 70% in nearly ten minutes, and the like, so that any item is met, that is, the air conditioner has a refrigerating space, that is, the air conditioner is actually adjustable and controllable;
step S003: screening adjustable parameters of the adjustable air conditioner: for each adjustable air conditioner, according to the current operating parameter data of the air conditioner and the weight of the influence of each operating parameter on the temperature sensing temperature, the adjustable operating parameters are screened from the operating parameters related to the temperature sensing temperature; when the on-off state of the air conditioner is off, the on-off state of the air conditioner is one of the adjustable and controllable operation parameters of the air conditioner; when the temperature set point is higher than
The temperature set value is one of the adjustable parameters of the air conditioner; when the operation state of the compressor 1/2 is off, the operation state of the compressor 1/2 is one of the adjustable parameters of the air conditioner; when the average rotating speed of the fan is less than 70% within ten minutes, the rotating speed of the fan is one of the adjustable and controllable parameters of the air conditioner;
step S004: generating a strategy for regulation and control; after the air conditioners, the controllable air conditioners and the controllable parameters which are strongly related to the target temperature sensitivity are determined, a regulation strategy corresponding to each controllable parameter of each air conditioner is generated by combining expert experience rules, wherein the regulation strategy can be as follows: if the on-off state of the air conditioner is off, the air conditioner is adjusted to be on, the temperature set value is adjusted to be low in the effective temperature set range, if the running state of the compressor 1/2 is off, the air conditioner is adjusted to be on, and the rotating speed of the fan is adjusted to be high in the effective rotating speed range; and selecting a regulation strategy for regulation and control by the operation and maintenance personnel, and judging whether the corresponding strategy needs to be continuously selected for regulation and control according to whether the temperature sensing temperature reaches the expectation after the strategy is executed.
When the regulation and control strategy needs to be generated for other machine rooms, the corresponding regulation and control strategy can be worked out by using the method, and the problem that the judgment experience of the correlation between the temperature sense and the air conditioner accumulated by operation and maintenance personnel in one machine room cannot be applied to other machine rooms in the existing method is solved.
Acquiring adjustable and controllable operation parameter data of each air conditioner of a data center machine room of not less than 6 months and temperature data of temperature sensing equipment, screening and extracting temperature sensing temperature data of the air conditioner in different operation states, analyzing the correlation between the temperature sensing temperature and each operation parameter of each air conditioner, and calculating the correlation between the temperature sensing temperature and the air conditioner; when a certain temperature-sensing temperature needs to be controlled, the relevance of the temperature-sensing temperature, the air-conditioning equipment and the operation parameters is used as a basis for selecting the regulation and control of the air-conditioning equipment and the regulation and control of the operation parameters, and a more targeted regulation and control strategy can be obtained, so that the regulation and control efficiency is improved, and the energy consumption of a machine room is saved; the regulating and controlling method is suitable for different air conditioner brands and models, different air conditioner operation parameters and different machine room layouts, and has a wide application range.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. A machine room temperature efficient control method based on correlation analysis is characterized by comprising the following steps:
step S1: collecting operation parameter data of each air conditioning device in a machine room and temperature data of temperature sensing devices;
step S2: preprocessing the acquired data;
step S3: removing samples with repeated air conditioner operation parameter combinations according to data obtained after preprocessing operation;
step S4: calculating the correlation between the temperature data of each temperature and the operation parameter data of each air conditioning device, and calculating the correlation between the temperature and each air conditioning device;
step S5: and generating an air conditioner regulation and control strategy according to the correlation analysis result.
2. The machine room temperature efficient control method based on correlation analysis according to claim 1, characterized in that: in the step 1, the time of the collected data is not less than 6 months, and the collected air conditioners are of different brands or models.
3. The machine room temperature efficient control method based on correlation analysis according to claim 1, characterized in that: in the step 1, during data acquisition, the operation parameters of the air conditioner are changed and controlled and set based on preset parameters, so that the diversity of air conditioner parameter combinations is improved.
4. The machine room temperature efficient control method based on correlation analysis according to claim 1, characterized in that: in step 1, the operating parameter data of the air conditioning equipment includes, but is not limited to, an air conditioner on-off state, a temperature set value, a compressor 1/2 on-off state, and a fan speed.
5. The machine room temperature efficient control method based on correlation analysis according to claim 1, characterized in that: in step S2, the specific method of the preprocessing operation is as follows:
step S2-1: carrying out numerical conversion on the non-numerical operation parameter data of the air conditioning equipment;
step S2-2: removing abnormal values based on the actually adjustable and controllable interval range of the operation parameters;
and step S2-3, filling the missing values by adopting a forward filling method and a mean filling method respectively according to different parameter value characteristics.
6. The machine room temperature efficient control method based on correlation analysis according to claim 1, characterized in that: in step S3, the method for removing the duplicate samples of the air conditioner operation parameter combinations is as follows:
judging whether each time point related to the data meets the condition that the operation parameters of all air-conditioning equipment are kept unchanged within the last t minutes, and screening all the time points meeting the conditions;
extracting the operation parameter data of each air-conditioning device and the temperature data of each temperature sensing device at a time point to generate an air-conditioning device operation parameter and corresponding temperature sensing temperature correlation data set;
and traversing the data set, and removing repeated samples of the air conditioner operation parameter combination for ensuring the uniqueness of the air conditioner operation parameter combination.
7. The machine room temperature efficient control method based on correlation analysis according to claim 1, characterized in that: in step S4, the correlation between the temperature data of each temperature and the operating parameter data of each air conditioner is calculated by the pearson correlation analysis method, and the correlation between the temperature of each temperature and each pair of air conditioners is calculated, which specifically includes the following steps:
step S4-1: numbering temperature, air conditioning equipment and different kinds of operation parameters;
step S4-2: calculating correlation coefficient between temperature of temperature and operation parameter of air conditioning equipment by using Pearson correlation analysis method
；
Step S4-3: the weight of the air conditioner operation parameter index is predefined, and the formula is as follows:
wherein M, N is the number of temperature sensors and air conditioners, respectively, and is TmTemperature data K representing the mth temperature in the data set relating the operation parameter of the air conditioning equipment extracted at S3 and the corresponding temperaturenyThe y-th operation parameter data of the nth air conditioner in the sample data set extracted in the S3 is represented; z =1,2, …, Z representing Z air conditioner operating parameters having a correlation with temperature-sensing temperature;
step S4-4: the correlation between the temperature sensing temperature and the air conditioning equipment is analyzed, and the correlation formula is as follows:
8. the machine room temperature efficient control method based on correlation analysis according to claim 1, characterized in that: in step S5, the method for generating the air conditioner regulation and control strategy is as follows:
step S001: screening air conditioners strongly related to target temperature sensitivity: according to the correlation analysis results of the target temperature and N air-conditioning devices in the machine room, the front f air-conditioners with the highest correlation are screened out, and the screening formula is as follows:
step S002: screening the adjustable air conditioner: the air conditioner is shut down and the air conditioner is started but the temperature set value is higher than
The air conditioner is started but only 0 or 1 compressor is started, and the air conditioner is started but the average rotating speed of the fan is less than 70% within ten minutes, so that the condition that any item of the conditions indicates that the air conditioner has a refrigerating space is met, namely the air conditioner is the actual adjustable air conditioner;
step S003: screening adjustable parameters of the adjustable air conditioner: for each adjustable air conditioner, according to the current operating parameter data of the air conditioner and the weight of the influence of each operating parameter on the temperature sensing temperature, the adjustable operating parameters are screened from the operating parameters related to the temperature sensing temperature; when the on-off state of the air conditioner is off, the on-off state of the air conditioner is one of the adjustable and controllable operation parameters of the air conditioner; when the temperature set point is higher than
The temperature set value is one of the adjustable parameters of the air conditioner; when the operation state of the compressor 1/2 is off, the operation state of the compressor 1/2 is one of the adjustable parameters of the air conditioner; when the average rotating speed of the fan is less than 70% within ten minutes, the rotating speed of the fan is one of the adjustable and controllable parameters of the air conditioner;
step S004: generating a strategy for regulation; the temperature of the machine room is changed by regulating and controlling the on-off state of the air conditioner, the temperature set value, the running state of the compressor or the rotating speed of the fan.
9. The utility model provides a computer lab temperature high efficiency control system based on correlation analysis which characterized in that includes:
a data acquisition module: the system is used for acquiring the operation parameter data of each air conditioning device in the machine room and the temperature data of the temperature sensing device;
a data preprocessing module: preprocessing the acquired data;
a data set extraction module: extracting an air conditioning equipment operation parameter and a corresponding temperature-sensing temperature correlation data set according to the data obtained after the pretreatment, and removing repeated samples;
the temperature and air conditioner correlation analysis module comprises: analyzing the correlation between the temperature data of each temperature sensor and the operation parameter data of each air conditioning equipment, and calculating the correlation between the temperature sensor and each air conditioning equipment;
and an air conditioner regulation and control selection module: and generating an air conditioner regulation and control strategy according to the correlation analysis result.
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