Machine room air conditioner control method and device, electronic equipment and storage medium

Abstract

The invention discloses a machine room air conditioner control method and device, electronic equipment and a storage medium. The method comprises the steps that machine room temperature data are collected; calling a temperature analysis model according to the machine room temperature data, analyzing the machine room temperature data by using the temperature analysis model, and determining a temperature analysis result; and the current machine room air conditioner operation state is obtained, an air conditioner control instruction is generated according to the temperature analysis result and the current machine room air conditioner operation state, and the machine room air conditioner is controlled according to the air conditioner control instruction. The computer room air conditioner can be controlled according to the computer room temperature data, the purposes of saving energy and reducing consumption are achieved, automatic computer room air conditioner control is achieved, the computer room air conditioner control efficiency and accuracy are improved, and the method can be widely applied to the technical field of air conditioner control.

Description

Technical Field

[0001] The present application relates to the technical field of air conditioning control, and in particular to a method, device, electronic equipment and storage medium for controlling a computer room air conditioning. Background Art

[0002] At present, the operating time of the air conditioner in the communication room base station is generally close to 16 hours, the power consumption is very large, and the air conditioner temperature cannot be automatically controlled according to the temperature information in the room. It can only be controlled manually by issuing simple air conditioner control instructions such as turning on, off, and adjusting the temperature to a certain degree. In addition, the air conditioner temperature of the room base station needs to be adjusted manually multiple times to achieve the purpose of energy saving and consumption reduction, which increases the workload of maintenance personnel and has poor results, and the air conditioning control efficiency is low. Summary of the invention

[0003] The main purpose of the embodiments of the present application is to propose a computer room air conditioning control method, device, electronic device and storage medium, which can realize automatic computer room air conditioning control and improve the efficiency and accuracy of computer room air conditioning control.

[0004] On the one hand, an embodiment of the present application provides a computer room air conditioning control method, the method comprising the following steps:

[0005] Collect temperature data of the equipment room;

[0006] According to the temperature data of the equipment room, a temperature analysis model is called, and the temperature analysis model is used to analyze the temperature data of the equipment room to determine a temperature analysis result;

[0007] The current operating state of the air conditioner in the computer room is obtained, an air conditioner control instruction is generated according to the temperature analysis result and the current operating state of the air conditioner in the computer room, and the air conditioner in the computer room is controlled according to the air conditioner control instruction.

[0008] In some embodiments, collecting the temperature data of the computer room specifically includes:

[0009] In response to the time period screening operation, a specified time period is determined, and the target computer room temperature data corresponding to the specified time period is collected;

[0010] The target computer room temperature data is subjected to data preprocessing to obtain the computer room temperature data, wherein the data preprocessing at least includes data cleaning and data feature extraction and analysis.

[0011] In some embodiments, calling a temperature analysis model according to the temperature data of the equipment room, analyzing the temperature data of the equipment room by using the temperature analysis model, and determining a temperature analysis result specifically includes:

[0012] Obtain multiple temperature unit analysis models;

[0013] Inputting the room temperature data into each of the temperature unit analysis models, and using each of the temperature unit analysis models to output corresponding temperature unit analysis results;

[0014] The temperature analysis result is determined according to the analysis results of each of the temperature units.

[0015] In some embodiments, inputting the room temperature data into each of the temperature unit analysis models, and using each of the temperature unit analysis models to output a corresponding temperature unit analysis result, specifically includes:

[0016] Input the computer room temperature data into a temperature judgment model, and output a temperature abnormality judgment result, wherein the temperature abnormality result includes a plurality of abnormal computer room temperature data and a temperature abnormality type corresponding to each abnormal computer room temperature data;

[0017] The temperature data of the computer room is input into a temperature prediction model, and a temperature prediction result is output. The temperature prediction result includes a plurality of predicted temperatures of the computer room and a prediction time corresponding to each predicted temperature of the computer room.

[0018] In some embodiments, the obtaining of the current operating state of the computer room air conditioner, generating an air conditioning control instruction according to the temperature analysis result and the current operating state of the computer room air conditioner, and controlling the computer room air conditioner according to the air conditioning control instruction specifically includes:

[0019] Obtaining the current computer room air conditioner operating status, including at least the current set temperature of the air conditioner and the current computer room air conditioner operating mode;

[0020] Determine the computer room air conditioner temperature control information according to the temperature prediction result, the temperature anomaly judgment result and the current computer room air conditioner operation state, including the computer room air conditioner control temperature, the computer room air conditioner control operation mode and the corresponding control time point;

[0021] The air conditioning control instruction is generated according to the computer room air conditioning temperature control information.

[0022] In some embodiments, the method further comprises:

[0023] The historical computer room temperature data is stored, and the historical computer room temperature data is used to train and optimize each of the temperature unit analysis models.

[0024] In some embodiments, inputting the room temperature data into a temperature prediction model and outputting a temperature prediction result specifically includes:

[0025] Get the preset temperature prediction time threshold;

[0026] Inputting the room temperature data into the temperature prediction model, and using the temperature prediction model to output a corresponding temperature prediction time series according to the temperature prediction time threshold;

[0027] A plurality of predicted temperatures of the computer rooms and a prediction time corresponding to each predicted temperature of the computer room are determined from the temperature prediction time series.

[0028] On the other hand, an embodiment of the present application provides a computer room air conditioning control device, the device comprising:

[0029] The first module is used to collect the temperature data of the computer room;

[0030] The second module is used to call a temperature analysis model according to the temperature data of the computer room, analyze the temperature data of the computer room by using the temperature analysis model, and determine the temperature analysis result;

[0031] The third module is used to obtain the current operating status of the computer room air conditioner, generate an air conditioning control instruction according to the temperature analysis result and the current operating status of the computer room air conditioner, and control the computer room air conditioner according to the air conditioning control instruction.

[0032] On the other hand, an embodiment of the present application provides an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the computer room air conditioning control method described above.

[0033] On the other hand, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer room air conditioning control method described above is implemented.

[0034] The embodiments of the present application include at least the following beneficial effects: the present application provides a computer room air conditioning control method, device, electronic device and storage medium, which collects computer room temperature data, calls a temperature analysis model based on the computer room temperature data, uses the temperature analysis model to analyze the computer room temperature data, determines the temperature analysis result, obtains the current computer room air conditioning operation state, generates an air conditioning control instruction based on the temperature analysis result and the current computer room air conditioning operation state, and controls the computer room air conditioning according to the air conditioning control instruction. The present application can control the computer room air conditioning according to the computer room temperature data, achieve the purpose of energy saving and consumption reduction, realize automatic computer room air conditioning control, and improve the efficiency and accuracy of computer room air conditioning control. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0037] Figure 1 is a flow chart of a computer room air conditioning control method provided by an embodiment of the present application;

[0038] Figure 2 is a flowchart of step S101 in an embodiment of the present application;

[0039] Figure 3 is a flowchart of step S102 in an embodiment of the present application;

[0040] Figure 4 is a schematic diagram of analyzing the temperature data of the computer room in an embodiment of the present application;

[0041] Figure 5 is a flowchart of step S302 in an embodiment of the present application;

[0042] Figure 6 is a schematic diagram of temperature prediction results in an embodiment of the present application;

[0043] Figure 7 is a flowchart of step S103 in an embodiment of the present application;

[0044] Figure 8 is a flowchart of step S402 in an embodiment of the present application;

[0045] Fig. 9 It is a structural schematic diagram of a computer room air conditioning control device provided in an embodiment of the present application;

[0046] Fig.10 It is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. They are only examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the attached claims.

[0048] It is understood that the terms "first", "second", etc. used in this application can be used to describe various concepts in this article, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another concept. For example, without departing from the scope of the embodiment of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determination".

[0049] The terms "at least one", "multiple", "each", "any", etc. used in this application, at least one includes one, two or more, multiple includes two or more, each refers to each of the corresponding multiple, and any refers to any one of the multiple.

[0050] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0051] It should be noted that in each specific implementation of the present application, when it comes to the need to perform relevant processing based on data related to user identity or characteristics such as user information, user behavior data, user historical data, and user location information, the user's permission or consent will be obtained first, and the collection, use, and processing of these data will comply with relevant laws, regulations, and standards. In addition, when the embodiment of the present application needs to obtain the user's sensitive personal information, the user's separate permission or consent will be obtained through a pop-up window or by jumping to a confirmation page. After clearly obtaining the user's separate permission or consent, the necessary user-related data for the normal operation of the embodiment of the present application will be obtained.

[0052] Before describing the embodiments of the present application in detail, some nouns and terms involved in the embodiments of the present application are first described. The nouns and terms involved in the embodiments of the present application are subject to the following explanations.

[0053] 1) Power and environment network management system: the abbreviation of power and environment monitoring system, used to monitor the operating status and environmental parameters of equipment in the computer room.

[0054] 2) Temperature sensor: A temperature sensor is a device that can sense the temperature of an object and convert it into a measurable and transmittable signal. These signals are usually electrical signals (such as changes in voltage, current or resistance value) to facilitate subsequent processing, display or control. The temperature sensor realizes the conversion of non-electrical quantity (temperature) to electrical quantity through its unique sensitive element. It is an important bridge between modern information technology and industrial control. It can be used to measure the ambient temperature of the computer room, the temperature of the equipment in the computer room, etc.

[0055] 3) Time series analysis: Time series analysis is a statistical method for dynamic data processing, which is used to predict the future based on existing historical data. The time series model is a theory and method for establishing a mathematical model through curve fitting and parameter estimation based on the time series data obtained from system observation.

[0056] 4) Regression model: A regression model is a mathematical model used to quantitatively describe statistical relationships. It is mainly used for predictive analysis, time series models, and discovering causal relationships between variables. Regression models study the relationship between dependent variables (targets) and independent variables (predictors) and are usually used to predict continuous real values.

[0057] 5) Classification model: A classification model is a machine learning model used to classify data into different categories. Its task is to predict the category of a sample by learning the characteristics of the sample. It is usually used for tasks where the output variable is a categorical or discrete value. Common classification models include logistic regression models, decision tree models, support vector machines, random forests, and perceptrons.

[0058] 6) Logistic regression model: The logistic regression model is a classic binary classification model that is suitable for scenarios where data is linearly separable. Its core idea is to map the sample into a real number range through a linear function and map it to between 0 and 1 through a sigmoid function, thereby obtaining the probability that the sample belongs to category 1. The logistic regression model parameters can be optimized using methods such as gradient descent.

[0059] 7) Decision tree model: The decision tree model is a classification model based on a tree structure that can handle both discrete and continuous features. Its core idea is to continuously divide the data into different subsets by selecting the optimal features and partitioning points until a certain stopping condition is reached. Decision trees are easy to explain and understand, and can handle nonlinear separable problems, but they are prone to overfitting problems.

[0060] 8) Support Vector Machine: Support vector machine is a classification model that can handle linearly separable and nonlinearly separable data. Its core idea is to divide samples into two categories through a hyperplane and maximize the distance of the samples closest to the hyperplane. Support vector machine can handle high-dimensional data and nonlinear data and has good generalization performance, but requires a lot of computing resources.

[0061] 9) Random Forest: Random Forest is an ensemble learning algorithm based on decision trees that can handle high-dimensional and nonlinear data. Its core idea is to reduce overfitting by building multiple decision trees, and finally obtain the classification results by voting or averaging. Random Forest can handle large-scale and high-dimensional data and has good generalization performance.

[0062] 10) Perceptron: Perceptron is a simple linear classification model that is suitable for linearly separable data. Its core idea is to find an optimal hyperplane by continuously adjusting weights to divide data into two categories. Perceptron is suitable for processing linearly separable data, but not for nonlinearly separable data.

[0063] 11) Cron Job: Cron job is a tool used to schedule tasks in Linux system. Cron job schedules the execution time of tasks by reading configuration files. It can run tasks by minute, hour, day, month, week or any combination of them. These tasks are usually used to automatically perform system maintenance or management tasks, such as backing up databases, updating system patches, checking disk space, etc.

[0064] 12) Celery: Celery is a distributed asynchronous task scheduling tool written in Python, mainly used for real-time task processing and task scheduling of large amounts of information. Celery's architecture consists of three parts: message middleware (broker), task execution unit (worker) and task execution result storage (backend).

[0065] Most of the air conditioners used in communication room base stations have remote control interfaces. Air conditioners without interfaces can be equipped with remote controllers that match the dynamic environment collectors. The base station of the room has been equipped with a dynamic environment system containing a dynamic environment collector. Currently, the dynamic environment system only supports remote control of the air conditioner. Three simple functional instructions can be manually issued: turn on, turn off, and adjust the temperature to a certain degree. The degree of automation is low and it cannot take into account the equipment in the room that really needs cooling.

[0066] The operating time of the air conditioner in the communication room base station is generally close to 16 hours, and the power consumption is very large. Therefore, in the northern region with distinct four seasons, it is necessary to manually adjust the temperature of the air conditioner in the communication room base station many times to achieve the purpose of energy saving and consumption reduction, which increases the workload of maintenance personnel and has poor results.

[0067] The existing computer room air conditioning control system cannot combine with the existing dynamic environment network management system hardware equipment to retrieve the computer room temperature and air conditioning set temperature of the dynamic environment network management and the equipment temperature of the equipment network management, and process the three temperature data. It is unable to give corresponding adjustment suggestions and automatically execute some adjustments based on the temperature information in the computer room, including the computer room ambient temperature, air conditioning set temperature, computer room equipment temperature, etc.

[0068] Based on this, in response to the defects of the above-mentioned prior art, the embodiments of the present application propose a computer room air conditioning control method, device, electronic device and storage medium, which can analyze the temperature change trend of the computer room and judge whether the computer room temperature is within a safe range according to the computer room temperature data, including the computer room ambient temperature and the computer room equipment temperature, etc., and generate corresponding air conditioning control instructions in combination with the operating status of the computer room air conditioner to control the operation of the computer room air conditioner and achieve the purpose of energy saving and consumption reduction.

[0069] Reference Figure 1 , Figure 1 This is an optional flow chart of a computer room air conditioning control method provided in an embodiment of the present application. The method may include but is not limited to steps S101 to S103:

[0070] Step S101, collecting room temperature data;

[0071] Step S102, calling a temperature analysis model according to the temperature data of the computer room, analyzing the temperature data of the computer room using the temperature analysis model, and determining a temperature analysis result;

[0072] Step S103, obtaining the current operating state of the computer room air conditioner, generating an air conditioning control instruction according to the temperature analysis result and the current operating state of the computer room air conditioner, and controlling the computer room air conditioner according to the air conditioning control instruction.

[0073] In some embodiments, the temperature data of the computer room is collected through the dynamic environment network management system. Optionally, the dynamic environment network management system is used to detect the ambient temperature of the computer room and the temperature of the equipment in the computer room. The dynamic environment network management system includes a temperature sensor, an air conditioning control module, a collector, a report unit, a human-computer interaction interface, a cloud server and a real-time monitoring module arranged in the computer room. The ambient temperature of the computer room and the temperature of the equipment in the computer room are collected through the temperature sensor, and the ambient temperature of the computer room and the temperature of the equipment in the computer room are transmitted back to the collector, and then transmitted back to the cloud server by the collector. The air conditioning control module includes an automatic control program, which can monitor the air conditioning set temperature of the computer room, and transmit the air conditioning set temperature back to the collector in the computer room, and then transmitted back to the cloud server by the collector. The temperature data of the computer room is sorted through the report unit to generate a corresponding temperature data report. The temperature data report supports data table operations such as addition, deletion, modification and query, which is convenient for querying the temperature data of the computer room. Through the human-computer interaction interface, the management personnel can view the temperature data report and set the temperature collection, such as controlling the opening and closing of the temperature sensor and the collection area, etc. The collected computer room temperature data is visualized through the real-time monitoring module, and the operating status of the temperature sensor is dynamically monitored.

[0074] Exemplarily, the report unit stores temperature data reports 1 to N, wherein the first column header of temperature data report 1 is the computer room name, the second column header is the computer room ambient temperature, the third column is the computer room equipment temperature, the fourth column is the air conditioning set temperature, and the fifth column is the corresponding air conditioning control instruction.

[0075] In some embodiments, reference Figure 2 , Figure 2 This is an optional flowchart of step S101 in the embodiment of the present application. Step S101 may include but is not limited to steps S201 to S202:

[0076] Step S201, in response to the time period screening operation, determining a specified time period, and collecting target computer room temperature data corresponding to the specified time period;

[0077] Step S202, performing data preprocessing on the target computer room temperature data to obtain the computer room temperature data, wherein the data preprocessing at least includes data cleaning and data feature extraction and analysis.

[0078] In some embodiments, the current time is used as the end time, the time span is set, the start time is determined, and the specified time period is determined based on the start time and the end time. Optionally, assuming that the current time is Tmax and the time span is T, the start time Tmin = Tmax-T, and the corresponding specified time period is Tmin to Tmax.

[0079] In some embodiments, data cleaning includes removing outliers or missing values ​​to improve data quality, and data feature extraction and analysis is to extract features useful for air conditioning control from the computer room temperature data, including the changing trend of the computer room ambient temperature and the difference between the computer room equipment temperature and the computer room ambient temperature.

[0080] In some embodiments, reference Figure 3 , Figure 3 This is an optional flowchart of step S102 in the embodiment of the present application. Step S102 may include but is not limited to steps S301 to S303:

[0081] Step S301, obtaining multiple temperature unit analysis models;

[0082] Step S302, inputting the temperature data of the equipment room into each temperature unit analysis model, and using each temperature unit analysis model to output the corresponding temperature unit analysis result;

[0083] Step S303, determining the temperature analysis result according to the analysis results of each temperature unit.

[0084] In some embodiments, the temperature unit analysis model is used to perform a comprehensive analysis from different angles according to the room temperature data, output the analysis results of each temperature unit, integrate the analysis results of each temperature unit, determine the temperature analysis results, and refer to Figure 4 , Figure 4 It is an optional schematic diagram for analyzing the temperature data of the computer room in an embodiment of the present application, which includes temperature unit analysis models 1 to N, obtains the temperature data of the computer room, inputs the temperature data of the computer room into each temperature unit analysis model respectively, uses temperature unit analysis model 1 to output temperature unit analysis result 1, uses temperature unit analysis model N to output temperature unit analysis result N, and so on, integrates temperature unit analysis results 1 to N to determine the final temperature analysis result.

[0085] In some embodiments, reference Figure 5 , Figure 5 This is an optional flowchart of step S302 in the embodiment of the present application. Step S302 may include but is not limited to steps S401 to S402:

[0086] Step S401, inputting the temperature data of the computer room into the temperature judgment model, and outputting the temperature abnormality judgment result, wherein the temperature abnormality result includes a plurality of abnormal computer room temperature data and the temperature abnormality type corresponding to each abnormal computer room temperature data;

[0087] Step S402: input the temperature data of the computer room into the temperature prediction model, and output the temperature prediction result, which includes a plurality of predicted temperatures of the computer room and the prediction time corresponding to each predicted temperature of the computer room.

[0088] In some embodiments, a classification model is constructed and used to determine whether the temperature is abnormal. The classification model is trained using historical computer room temperature data, parameters are adjusted to optimize model performance, and model performance is evaluated through cross-validation and other methods to obtain a trained temperature judgment model. The temperature judgment model is used to make abnormal judgments on the computer room temperature data, and the temperature abnormality judgment results are output.

[0089] Optionally, the classification model includes a logistic regression model, a decision tree model, a support vector machine, a random forest, a perceptron, and the like.

[0090] In some embodiments, a temperature prediction model is constructed. The temperature prediction model is a time series analysis model or a regression model for predicting future temperature trends. The temperature prediction model is trained using historical computer room temperature data, parameters are adjusted to optimize model performance, and model performance is evaluated using methods such as cross-validation to obtain a trained temperature prediction model. The temperature judgment model is used to perform temperature prediction based on the computer room temperature data, and a temperature prediction result is output. Exemplarily, the time series analysis model includes an autoregressive model, a moving average model, a vector autoregressive model, and a long short-term memory network, etc.

[0091] Optionally, refer to Figure 6 , Figure 6 It is an optional schematic diagram of the temperature prediction result in the embodiment of the present application. The temperature prediction result is output through the temperature prediction model. The temperature prediction result is a temperature-time analysis sequence. The temperature-time analysis sequence is displayed as an image to obtain the corresponding temperature-time series image, wherein there are multiple future time nodes, such as t1 to t4, the computer room ambient temperature corresponding to t1 is TH1, the computer room equipment temperature corresponding to t1 is TS1, the computer room ambient temperature corresponding to t2 is TH2, the computer room equipment temperature corresponding to t2 is TS2, and so on.

[0092] In some embodiments, historical computer room temperature data is stored, and each temperature unit analysis model is trained and optimized using the historical computer room temperature data. Optionally, a report unit is used to store historical computer room temperature data, and the historical computer room temperature data includes feedback data after executing air conditioning control instructions and historically collected computer room temperature data. The feedback data includes the adjusted computer room ambient temperature and computer room equipment temperature. The feedback data is used for retraining and parameter adjustment of each temperature unit analysis model to improve the adaptability and accuracy of the temperature unit analysis model.

[0093] In some embodiments, Cron jobs or Celery are used as automation tools to regularly execute data collection, model prediction, and instruction execution tasks, and perform real-time monitoring. When an abnormal temperature is detected, an alarm message is automatically sent to the operation and maintenance personnel, and a detailed abnormality analysis and recommended processing measures are provided. The operation and maintenance personnel can more conveniently monitor the computer room temperature data and air conditioning operation status through the real-time monitoring module and the human-computer interaction interface.

[0094] In some embodiments, reference Figure 7 , Figure 7 This is an optional flowchart of step S103 in the embodiment of the present application. Step S103 may include but is not limited to steps S501 to S503:

[0095] Step S501, obtaining the current operating status of the computer room air conditioner, including at least the current set temperature of the air conditioner and the current operating mode of the computer room air conditioner;

[0096] Step S502, determining the computer room air conditioner temperature control information, including the computer room air conditioner control temperature, the computer room air conditioner control operation mode and the corresponding control time point, according to the temperature prediction result, the temperature abnormality judgment result and the current computer room air conditioner operation state;

[0097] Step S503: Generate an air conditioning control instruction according to the computer room air conditioning temperature control information.

[0098] In some embodiments, the air conditioning control instructions are sent to the dynamic environment network management system, and the computer room air conditioning is controlled by the dynamic environment network management system.

[0099] In some embodiments, reference Figure 8 , Figure 8 This is an optional flowchart of step S402 in the embodiment of the present application. Step S402 may include but is not limited to steps S601 to S603:

[0100] Step S601, obtaining a preset temperature prediction time threshold;

[0101] Step S602, inputting the room temperature data into the temperature prediction model, and using the temperature prediction model to output the corresponding temperature prediction time series according to the temperature prediction time threshold;

[0102] Step S603: determining a plurality of predicted temperatures of the equipment rooms and the prediction time corresponding to the predicted temperature of each equipment room from the temperature prediction time series.

[0103] In some embodiments, a temperature prediction model is used to dynamically predict the temperature data of the computer room according to a preset temperature prediction time threshold, predict the temperature change trend of the computer room in the future period of time, and generate a corresponding temperature prediction time series, wherein the temperature prediction time threshold is the time difference between the temperature prediction end time and the temperature prediction start time in the temperature prediction time series, which can be set by itself. Optionally, the temperature prediction start time is the collection time corresponding to the latest temperature data collected in the computer room temperature data.

[0104] In some embodiments, optionally, based on the temperature prediction time series, multiple abnormal predicted temperatures and prediction time nodes corresponding to each abnormal predicted temperature are determined, and based on each abnormal predicted temperature and the prediction time node corresponding to each abnormal predicted temperature, the air conditioning set temperature is adjusted in advance so that the computer room ambient temperature and the computer room equipment temperature are both within a preset safety temperature range.

[0105] In some embodiments, illustratively, the above-mentioned computer room air conditioning control method is applied to control the computer room air conditioning of the target computer room, specifically as follows:

[0106] The first step is to collect the temperature data of the target computer room and extract the properties of the computer room from the temperature data. If the target computer room is a Class D computer room, determine whether the computer room ambient temperature is normal, that is, determine whether the computer room ambient temperature is within the preset safety temperature range of 27 to 29 degrees. If the target computer room is a Class C computer room, determine whether the computer room ambient temperature is normal, that is, determine whether the computer room ambient temperature is within the preset safety temperature range of 26 to 29 degrees. If the computer room ambient temperature is normal, proceed to the second step. If the computer room ambient temperature is abnormal, proceed to the fourth step.

[0107] The second step is to determine whether the temperature of the equipment in the computer room is normal. If the temperature of the equipment in the computer room is normal, determine whether the current set temperature of the air conditioner is reasonable. That is, the set temperature of the air conditioner in the D-type computer room is 27 degrees to 29 degrees, and the set temperature of the air conditioner in the C-type computer room is 26 degrees to 28 degrees. If the temperature of the equipment in the computer room is abnormal, proceed to the third step;

[0108] If it is determined that the current set temperature of the air conditioner is reasonable, that is, the current set temperature of the air conditioner is within the safe range of the air conditioner set temperature, that is, the air conditioner set temperature of the D-type computer room is 27 degrees to 29 degrees, and the air conditioner set temperature of the C-type computer room is 26 degrees to 28 degrees, then end this judgment;

[0109] If it is determined that the current set temperature of the air conditioner is not set reasonably, then determining whether the current set temperature of the air conditioner is lower than the minimum set temperature of the air conditioner set temperature safety range or higher than the maximum set temperature of the air conditioner set temperature safety range;

[0110] If it is determined that the current set temperature of the air conditioner is higher than the maximum set temperature, an air conditioner control command is sent to the dynamic environment network management system to turn off the air conditioner in the computer room;

[0111] If it is determined that the current set temperature of the air conditioner is lower than the minimum set temperature, an air conditioner control instruction is sent to the dynamic environment network management system to increase the set temperature of the air conditioner to the minimum set temperature. For example, the minimum set temperature of the C-type computer room is 26 degrees, and the set temperature of the air conditioner in the D-type computer room is 27 degrees.

[0112] The third step is to determine whether the temperature of the equipment in the computer room is higher or lower than the normal temperature limit if it is determined that the temperature of the equipment in the computer room is abnormal;

[0113] If it is determined that the equipment temperature in the computer room is lower than the normal temperature limit, then determine whether the current set temperature of the air conditioner is reasonable, that is, 27 degrees to 29 degrees for a Class D computer room and 26 degrees to 28 degrees for a Class C computer room. Specifically, if it is determined that the current set temperature of the air conditioner is reasonable, then end this determination; if it is determined that the current set temperature of the air conditioner is unreasonable, then determine whether the current set temperature of the air conditioner is lower than the minimum set temperature or higher than the maximum set temperature. If it is determined that the current set temperature of the air conditioner is higher than the maximum set temperature, then send an air conditioning control instruction to the dynamic environment network management system to turn off the air conditioner; if it is determined that the current set temperature of the air conditioner is lower than the minimum set temperature, then send an air conditioning control instruction to the dynamic environment network management system to increase the current set temperature of the air conditioner to the minimum set temperature.

[0114] If it is determined that the temperature of the equipment in the computer room is higher than the normal temperature limit, then determine whether the current set temperature of the air conditioner is reasonable. If it is determined that the current set temperature of the air conditioner is reasonable, then send an air conditioning control instruction to the dynamic environment network management system to lower the current set temperature of the air conditioner; if the current set temperature of the air conditioner is unreasonable, then determine whether the current set temperature of the air conditioner is lower than the minimum set temperature or higher than the maximum set temperature; if it is determined that the current set temperature of the air conditioner is higher than the maximum set temperature, then send an air conditioning control instruction to the dynamic environment network management system to lower the current set temperature of the air conditioner to within the safe range of the air conditioning set temperature; if the current set temperature of the air conditioner is lower than the minimum set temperature, then feedback the result "Computer room name, equipment dust screen needs to be cleaned or airflow organization is unreasonable";

[0115] Step 4: If the ambient temperature of the computer room is determined to be abnormal, determine whether the ambient temperature of the computer room is higher or lower than the normal temperature limit. Assume that the normal temperature limit is 31 degrees. If the ambient temperature of the computer room is determined to be lower than the normal temperature limit, that is, the ambient temperature of the computer room is lower than 31 degrees, determine whether the ambient temperature of the computer room is higher than the minimum temperature limit. Assume that the minimum temperature limit is 23 degrees.

[0116] If it is determined that the ambient temperature of the equipment room is not higher than 23 degrees, an air conditioning control command is sent to the dynamic environment network management to turn off the air conditioning;

[0117] If it is determined that the ambient temperature of the computer room is higher than 23 degrees, the equipment network management data is retrieved to determine whether the temperature of the equipment in the computer room is normal. If it is determined that the temperature of the equipment in the computer room is normal, the current set temperature of the air conditioner is determined to be reasonable.

[0118] If it is determined that the current temperature setting of the air conditioner is reasonable, then this judgment ends;

[0119] If it is determined that the current set temperature of the air conditioner is not set reasonably, then determining whether the current set temperature of the air conditioner is lower than the minimum set temperature or higher than the maximum set temperature;

[0120] If it is determined that the current set temperature of the air conditioner is higher than the maximum set temperature, an air conditioner control instruction is sent to the dynamic environment network management to turn off the air conditioner;

[0121] If it is determined that the current set temperature of the air conditioner is lower than the minimum set temperature, an air conditioner control instruction is sent to the dynamic environment network management to increase the current set temperature of the air conditioner to the minimum set temperature.

[0122] A computer room air conditioning control method provided in an embodiment of the present application can be combined with the existing dynamic environment network management system hardware equipment, including temperature sensors, air conditioning control modules, and collectors, to retrieve the computer room temperature and air conditioning set temperature of the dynamic environment network management and the equipment temperature of the equipment network management, and process the three temperature data. When the ambient temperature reaches the preset upper and lower limits, the equipment temperature is judged, and the computer room air conditioning temperature is adjusted according to whether the equipment temperature is within the safety limit. According to the temperature information in the computer room, including the computer room ambient temperature, the current set temperature of the air conditioner and the computer room equipment temperature, combined with the current operating status of the air conditioner, corresponding adjustment suggestions can be given and partial adjustments can be automatically executed, thereby solving the problem of high energy consumption of the computer room air conditioning, achieving the effect of energy saving and consumption reduction, and realizing remote automatic control processing.

[0123] Reference Fig. 9 , Fig. 9 : is an optional structural diagram of a computer room air conditioning control device provided in an embodiment of the present application, the device is used to implement the above-mentioned computer room air conditioning control method, and the device may include:

[0124] The first module is used to collect the temperature data of the computer room;

[0125] The second module is used to call the temperature analysis model according to the temperature data of the computer room, analyze the temperature data of the computer room using the temperature analysis model, and determine the temperature analysis result;

[0126] The third module is used to obtain the current operating status of the computer room air conditioner, generate an air conditioning control instruction according to the temperature analysis result and the current operating status of the computer room air conditioner, and control the computer room air conditioner according to the air conditioning control instruction.

[0127] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0128] The embodiment of the present application also provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned computer room air conditioning control method when executing the computer program. The electronic device can be any smart terminal including a tablet computer.

[0129] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0130] See also Fig.10 , Fig.10 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:

[0131] The processor 901 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0132] The memory 902 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 902 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 902, and the processor 901 calls and executes the computer room air conditioning control method of the embodiment of this application;

[0133] Input / output interface 903, used to implement information input and output;

[0134] Communication interface 904, used to realize communication interaction between the device and other devices, which can be realized by wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WIFI, Bluetooth, etc.);

[0135] A bus 905 that transmits information between the various components of the device (e.g., the processor 901, the memory 902, the input / output interface 903, and the communication interface 904);

[0136] The processor 901 , the memory 902 , the input / output interface 903 and the communication interface 904 are connected to each other in communication within the device via a bus 905 .

[0137] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned computer room air conditioning control method is implemented.

[0138] It can be understood that the contents of the above method embodiments are all applicable to the present storage medium embodiments, the functions specifically implemented by the present storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0139] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0140] The embodiment of the present application provides a computer room air conditioning control method, device, electronic device and storage medium, which collects computer room temperature data, calls a temperature analysis model according to the computer room temperature data, analyzes the computer room temperature data using the temperature analysis model, determines the temperature analysis result, obtains the current computer room air conditioning operation state, generates an air conditioning control instruction according to the temperature analysis result and the current computer room air conditioning operation state, and controls the computer room air conditioning according to the air conditioning control instruction. The embodiment of the present application can control the computer room air conditioning according to the computer room temperature data, achieve the purpose of energy saving and consumption reduction, realize automatic computer room air conditioning control, and improve the efficiency and accuracy of computer room air conditioning control.

[0141] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0142] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0143] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0144] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0145] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0146] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0147] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0148] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0149] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0150] It should be appreciated that embodiments of the present invention may be implemented or enforced by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable memory. The method may be implemented in a computer program using standard programming techniques including a non-transitory computer-readable storage medium configured with a computer program, wherein the storage medium so configured causes the computer to operate in a specific and predefined manner - according to the methods and drawings described in the specific embodiments. Each program may be implemented in a high-level procedural or object-oriented programming language to communicate with a computer system. However, if desired, the program may be implemented in an assembly or machine language. In any case, the language may be a compiled or interpreted language. In addition, the program may be run on a programmed ASIC for this purpose.

[0151] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0152] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A computer room air conditioning control method, characterized in that: The method comprises the following steps: Collect temperature data of the equipment room; According to the temperature data of the equipment room, a temperature analysis model is called, and the temperature analysis model is used to analyze the temperature data of the equipment room to determine a temperature analysis result; The current operating state of the air conditioner in the computer room is obtained, an air conditioner control instruction is generated according to the temperature analysis result and the current operating state of the air conditioner in the computer room, and the air conditioner in the computer room is controlled according to the air conditioner control instruction.

2. The computer room air conditioning control method according to claim 1, characterized in that: The collecting of the temperature data of the equipment room specifically includes: In response to the time period screening operation, a specified time period is determined, and the target computer room temperature data corresponding to the specified time period is collected; The target computer room temperature data is subjected to data preprocessing to obtain the computer room temperature data, wherein the data preprocessing at least includes data cleaning and data feature extraction and analysis.

3. The computer room air conditioning control method according to claim 1, characterized in that: The step of calling a temperature analysis model according to the temperature data of the equipment room, analyzing the temperature data of the equipment room by using the temperature analysis model, and determining a temperature analysis result specifically includes: Obtain multiple temperature unit analysis models; Inputting the room temperature data into each of the temperature unit analysis models, and using each of the temperature unit analysis models to output corresponding temperature unit analysis results; The temperature analysis result is determined according to the analysis results of each of the temperature units.

4. The computer room air conditioning control method according to claim 3, characterized in that: The inputting the temperature data of the equipment room into each of the temperature unit analysis models, and using each of the temperature unit analysis models to output corresponding temperature unit analysis results specifically includes: Input the computer room temperature data into a temperature judgment model, and output a temperature abnormality judgment result, wherein the temperature abnormality result includes a plurality of abnormal computer room temperature data and a temperature abnormality type corresponding to each abnormal computer room temperature data; The temperature data of the computer room is input into a temperature prediction model, and a temperature prediction result is output. The temperature prediction result includes a plurality of predicted temperatures of the computer room and a prediction time corresponding to each predicted temperature of the computer room.

5. The computer room air conditioning control method according to claim 4, characterized in that: The obtaining of the current operating state of the air conditioner in the computer room, generating an air conditioner control instruction according to the temperature analysis result and the current operating state of the air conditioner in the computer room, and controlling the air conditioner in the computer room according to the air conditioner control instruction specifically includes: Obtaining the current computer room air conditioner operating status, including at least the current set temperature of the air conditioner and the current computer room air conditioner operating mode; Determine the computer room air conditioner temperature control information according to the temperature prediction result, the temperature anomaly judgment result and the current computer room air conditioner operation state, including the computer room air conditioner control temperature, the computer room air conditioner control operation mode and the corresponding control time point; The air conditioning control instruction is generated according to the computer room air conditioning temperature control information.

6. The computer room air conditioning control method according to claim 3, characterized in that: The method further comprises: The historical computer room temperature data is stored, and the historical computer room temperature data is used to train and optimize each of the temperature unit analysis models.

7. The computer room air conditioning control method according to claim 4, characterized in that: The step of inputting the room temperature data into a temperature prediction model and outputting a temperature prediction result specifically includes: Get the preset temperature prediction time threshold; Inputting the room temperature data into the temperature prediction model, and using the temperature prediction model to output a corresponding temperature prediction time series according to the temperature prediction time threshold; A plurality of predicted temperatures of the computer rooms and a prediction time corresponding to each predicted temperature of the computer room are determined from the temperature prediction time series.

8. A computer room air conditioning control device, characterized in that: The device comprises: The first module is used to collect the temperature data of the computer room; The second module is used to call a temperature analysis model according to the temperature data of the computer room, analyze the temperature data of the computer room by using the temperature analysis model, and determine the temperature analysis result; The third module is used to obtain the current operating status of the computer room air conditioner, generate an air conditioning control instruction according to the temperature analysis result and the current operating status of the computer room air conditioner, and control the computer room air conditioner according to the air conditioning control instruction.

9. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the computer room air conditioning control method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the computer room air conditioning control method according to any one of claims 1 to 7 is implemented.

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