Machine room temperature automatic control system and method based on Internet of Things

Abstract

The invention relates to the field of machine room temperature control, in particular to a machine room temperature automatic control system and method based on the Internet of Things, and the method comprises the steps: obtaining related data information of a machine room through a deployed sensor in the machine room, dividing the interior of the machine room into different regions, and building a multi-element space; marking each area according to the computer room temperature data information of different areas to obtain an integrated related influence degree weight set of the temperatures of different areas of the computer room; according to the integrated related influence degree weight feature set of the temperatures of the different areas of the machine room and in combination with related data information of the machine room, setting a priority level so as to formulate a machine room temperature regulation and control strategy optimization method; when second-time regulation and control are carried out, a machine room temperature correction coefficient is obtained according to the energy consumption condition of machine room temperature regulation equipment, the first-time regulation and control effect and the temperature change trend; and according to the adjusted temperature of the machine room, the system response time and the related data information in the machine room, establishing a machine room equipment working state monitoring model for regulation and control monitoring.

Description

Technical Field

[0001] The present invention relates to the field of computer room temperature control, and in particular to an automatic computer room temperature control system and method based on the Internet of Things. Background Art

[0002] With the rapid development of information technology, the computer room is a place where a large number of servers, network equipment and other electronic equipment are stored, and its environmental temperature control is very important. Electronic equipment will generate a lot of heat during operation. If the temperature of the computer room is too high, it will lead to a decline in equipment performance, an increase in failure rate, and even shorten the service life of the equipment. The traditional computer room temperature control method is mainly adjusted by temperature regulating equipment, such as: air circulation machine, air flow fan, air conditioning system, etc., but there are some shortcomings.

[0003] On the one hand, most traditional temperature control devices cool or heat according to fixed temperature settings, and cannot accurately adjust the temperature according to the actual heating conditions of the equipment in the computer room and the layout of the computer room. For example, when the equipment in the computer room is unevenly distributed, some areas may be overheated while other areas have normal temperatures, but traditional control equipment cannot focus on cooling the overheated areas. On the other hand, traditional computer room temperature monitoring relies on manual inspections or local monitoring systems, which lack real-time and remote monitoring capabilities. When the temperature in the computer room is abnormal, the management personnel cannot be notified in time to deal with it, which may cause the problem to worsen.

[0004] Therefore, there is a need for an automatic temperature control system and method for a computer room based on the Internet of Things. Summary of the invention

[0005] The present invention provides an automatic control system and method for computer room temperature based on the Internet of Things, which aims to achieve real-time monitoring and remote control of the computer room temperature, intelligently adjust the computer room temperature according to real-time temperature data and preset parameters, and promptly respond to abnormal temperature conditions, take corresponding measures to reduce unnecessary energy consumption, accurately control the computer room temperature, and improve overall operating efficiency and reliability.

[0006] The technical solution of the present invention is specifically as follows: An automatic temperature control system for a computer room based on the Internet of Things, characterized by comprising the following contents: Computer room data acquisition module, temperature data processing and analysis module, relevant impact weight determination module, temperature control priority setting module, computer room temperature control module, computer room temperature control process early warning module, computer room temperature stability index acquisition module, computer room equipment working status monitoring module; The computer room data collection module is responsible for real-time collection of various relevant data information inside the computer room; The temperature data processing and analysis module processes and analyzes the collected temperature data, extracts useful information and provides data support; The module for determining the weight of the relevant influence degree establishes a multivariate space, in which each area is marked according to the temperature data information of the computer room in different areas, and a specific identifier is obtained. The multivariate vector formed is traversed to obtain a set of relevant influence degree weights of the temperature of different areas in the computer room; The temperature control priority setting module calculates the comprehensive weight score for each area in the multi-dimensional space of the computer room based on the integrated weight feature set of the relevant influence degree of the temperature in different areas of the computer room and the data information set related to the computer room, and sorts the areas to determine the priority level; The computer room temperature control module automatically controls the temperature inside the computer room based on the analysis and setting of the relevant data of the computer room to ensure that the temperature is maintained within the normal demand range; the computer room temperature control module includes a first temperature control unit and a second temperature control unit; The computer room temperature control process early warning module monitors abnormal conditions during the temperature control process, issues early warnings in a timely manner, and takes necessary measures; the computer room temperature control process early warning module includes a first early warning unit and a second early warning unit; The computer room temperature stability index acquisition module calculates the computer room temperature stability index and adjusts the system parameters in time according to the index feedback; The computer room equipment working status monitoring module monitors the working status of the equipment in the computer room to ensure that the equipment operates normally and handles abnormal situations in a timely manner.

[0007] The first temperature control unit obtains a priority level based on the comprehensive weight score determined for each area of ​​the computer room during the temperature control process of the computer room, and performs a first control on the temperature of the computer room according to the priority level; The second temperature control unit obtains the temperature correction coefficient of the computer room according to the energy consumption of the temperature control equipment in the computer room, the effect of the first control and the temperature change trend, and performs the second control; The first early warning unit obtains the temperature stability index and determines whether to issue an early warning based on the result of the first regulation; The second warning unit monitors the temperature control process of the computer room through the working efficiency of the equipment in the computer room and sets a threshold to determine whether to issue a secondary warning.

[0008] A method for automatic temperature control of a computer room based on the Internet of Things comprises the following steps: Step S1. Obtain relevant data information of the computer room through the sensors deployed in the computer room, establish a multi-dimensional space for different areas divided inside the computer room, mark each area in the multi-dimensional space according to the temperature data information of the computer room in different areas, and obtain an integrated set of relevant influence degree weights of the temperature of different areas in the computer room; Step S2. Priority levels are set based on the integrated weighted feature set of the relevant impact degree of the temperature in different areas of the computer room and combined with the relevant data information of the computer room, and priority division is performed to formulate a strategy method for optimizing the temperature control of the computer room; Step S3. When performing the second regulation, the temperature correction coefficient of the computer room is obtained according to the energy consumption of the computer room temperature control equipment, the effect of the first regulation and the temperature change trend; Step S4: Based on the adjusted room temperature, system response time and relevant data information in the room, a room equipment working status monitoring model is established to perform regulation and monitoring.

[0009] Step S1 specifically includes: The multivariate space is represented as ,in, represents the category of multivariate space, Indicates spatial category data, each category contains the feature vectors of all regions under the corresponding spatial category; The spatial category data consists of temperature data information of different regions. In the multivariate space, according to the temperature data information of the computer room in different regions Marking is performed to obtain specific identifications of different areas, among which, It means that any region has a specific identity in the multivariate space; By calculating the multivariate vector composed of specific identification data information between different areas in the computer room, an integrated set of relevant influence degree weights of the temperatures of different areas in the computer room is obtained.

[0010] Step S2 specifically includes: The comprehensive weight score determined for each area of ​​the computer room during the temperature control process , get its priority level, adjust the temperature of the computer room for the first time according to the priority level, and get the first adjustment temperature ; in, represents the mapping function, The data information of the computer room corresponding to the weight characteristics of the relevant influence degree of the temperature in different areas of the computer room after integration In the area The mapping value in ; Indicates the integrated The weighted characteristic values ​​of the relevant impact degree of the temperature in different areas of the computer room, represents the number of features, .

[0011] In step S2, the temperature stability index is obtained. The results of the first regulation Determine whether to issue an early warning and whether to conduct a second regulation; Further, step S2 specifically includes: The temperature stability index thresholds of different warning levels are pre-set, among which the first warning threshold is The second warning threshold is , ; Set the room temperature stability index The first warning threshold , Second warning threshold Compare and determine the warning level: like , it means that the temperature stability of the equipment room is good, the result of the first temperature adjustment meets the requirements, no warning is needed, and no second temperature adjustment is needed; like , it means that the temperature stability of the equipment room has decreased, but it is still within the acceptable range. At this time, it is a low warning and there is no need to adjust the temperature for the second time; like , it means that the result of the first regulation cannot meet the requirements. At this time, the warning level is high warning and a second temperature regulation is required.

[0012] In step S3, the temperature correction coefficient of the equipment room is Comparison with the preset room temperature correction coefficient Compare and adjust the room temperature based on the comparison results. Make correction adjustments; if , then the second control temperature is defined as , , represents the first correction parameter; if , then the second control temperature is defined as , , represents the second correction parameter; if , then the second control temperature is defined as , , Represents the third correction parameter.

[0013] Step S4 specifically includes: Through the work efficiency of equipment in the computer room Monitor the temperature control process of the computer room and set early warning judgment values To determine whether to issue a secondary warning; record the total monitoring time length ; in, Indicates the working efficiency of the equipment in the computer room Lower than At every moment, , Indicates the total monitoring time The number of moments when the internal work efficiency is below the threshold; Indicates the working efficiency of the standard computer room task equipment; Indicates at time The degree of deviation of the work efficiency of the computer room task equipment from the warning threshold; if , then trigger the second warning.

[0014] Beneficial effects: 1. The present invention can more accurately reflect the differences in these regions by setting a set of relevant influence weights for the temperature of different regions, making the temperature management strategy more in line with the actual situation; the control system can more finely control the temperature of each region to ensure that the temperature distribution in the entire computer room is balanced and stable. At the same time, accurately understanding the influence of the temperature of different regions on the overall operation of the computer room can optimize the temperature control strategy, reduce unnecessary energy consumption, thereby saving energy costs, formulate a more stable and reliable temperature control plan, and improve the stability and reliability of the system.

[0015] 2. By setting priority levels, the present invention enables the system to quickly regulate the temperature of different areas to ensure timely response in the event of abnormal temperature. The temperature stability index is obtained to evaluate the effect of the first regulation to ensure the stability of the temperature in the computer room and avoid excessive fluctuations that affect the normal operation of the equipment. At the same time, the first regulation result is judged according to the temperature stability index, and the control system can issue an early warning signal in time to prevent possible temperature abnormalities in advance and reduce potential risks. By integrating the early warning mechanism and setting the regulation level, the control system becomes more intelligent and adaptive, thereby improving the overall level of the computer room temperature control system.

[0016] 3. The present invention can optimize the performance of the computer room temperature control system through the computer room temperature correction coefficient, further improve the system efficiency, and more accurately adjust the computer room temperature through the comparison of the correction coefficient, ensure that the temperature is controlled within the set range, reduce temperature fluctuations, improve the stability of temperature control, and realize intelligent temperature control. It can automatically adjust the control strategy according to real-time data and set parameters to improve the intelligence level of the system; according to the comparison results of the correction coefficient, the system can make adjustments quickly and respond to temperature changes in a timely manner to ensure that the environment in the computer room is in the best state.

[0017] 4. By monitoring the working status of the task equipment in the computer room, the present invention can promptly discover abnormal or inefficient equipment operation, and then take measures to adjust and maintain the equipment to improve the operating efficiency and performance of the equipment; by setting thresholds and conducting secondary warnings, it can promptly discover and take preventive measures before abnormalities or failures occur in the task equipment in the computer room, thereby reducing the risk of equipment failure, and reducing downtime and losses caused by equipment failure. At the same time, the temperature control strategy of the computer room is adjusted in real time to improve the stability of the control system, reduce temperature fluctuations, and ensure safe and stable operation of operations in the computer room. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a module diagram of an automatic temperature control system for a computer room based on the Internet of Things of the present invention; Figure 2 It is a flow chart of a method for automatic temperature control of a computer room based on the Internet of Things of the present invention; Figure 3 This is a schematic diagram of a temperature control module for a computer room according to the present invention; Figure 4 It is a schematic diagram of the early warning module of the temperature control process of the computer room of the present invention. DETAILED DESCRIPTION

[0019] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should also be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0020] See attached Figure 1 This embodiment provides an automatic temperature control system for a computer room based on the Internet of Things, including the following contents: Computer room data acquisition module, temperature data processing and analysis module, relevant impact weight determination module, temperature control priority setting module, computer room temperature control module, computer room temperature control process early warning module, computer room temperature stability index acquisition module, computer room equipment working status monitoring module; The computer room temperature control module includes a first temperature control unit and a second temperature control unit; The early warning module of the temperature control process of the computer room includes a first early warning unit and a second early warning unit; The computer room data acquisition module is responsible for real-time collection of various relevant data information inside the computer room, including temperature, humidity, working conditions of equipment in the computer room, air pressure and other information; the equipment in the computer room includes the equipment for executing tasks in the computer room and the temperature control equipment in the computer room; The temperature data processing and analysis module processes and analyzes the collected temperature data and extracts useful information for subsequent use; The module for determining the weight of the relevant influence degree establishes a multivariate space, in which each area is marked according to the temperature data information of the computer room in different areas, and a specific identifier is obtained. The multivariate vector formed is traversed to obtain a set of relevant influence degree weights of the temperature of different areas in the computer room; The temperature control priority setting module calculates the comprehensive weight score for each area in the multi-dimensional space of the computer room based on the integrated weight feature set of the relevant influence degree of the temperature in different areas of the computer room and the data information set related to the computer room, and sorts the areas to determine the priority level; The computer room temperature control module automatically controls the temperature inside the computer room based on the analysis and settings of the above modules to ensure that the temperature is maintained within the normal required range; refer to the attached Figure 3 , the computer room temperature control module includes a first temperature control unit and a second temperature control unit; The first temperature control unit obtains a priority level based on the comprehensive weight score determined for each area of ​​the computer room during the temperature control process of the computer room, and performs a first control on the temperature of the computer room according to the priority level; The second temperature control unit obtains the temperature correction coefficient of the computer room according to the energy consumption of the temperature control equipment in the computer room, the effect of the first control and the temperature change trend, and performs the second control; The temperature control process warning module of the computer room monitors abnormal conditions during the temperature control process, issues warnings in a timely manner and takes necessary measures; refer to the attached Figure 4 ,The early warning module for the temperature control process of the ,computer room includes a first early warning unit and a second early warning unit; The first early warning unit obtains the temperature stability index and determines whether to issue an early warning based on the result of the first regulation; The second warning unit monitors the temperature control process of the computer room based on the working efficiency of the equipment in the computer room and sets a threshold to determine whether to issue a secondary warning; The computer room temperature stability index acquisition module calculates the computer room temperature stability index and adjusts the system parameters in time according to the index feedback; The computer room equipment working status monitoring module monitors the working status of the equipment in the computer room to ensure that the equipment operates normally and handles abnormal situations in a timely manner.

[0021] See attached Figure 2 This embodiment provides a method for automatic temperature control of a computer room based on the Internet of Things, comprising the following steps: S1. Obtain relevant data information of the computer room through the sensors deployed in the computer room, establish a multi-dimensional space for different areas divided inside the computer room, mark each area in the multi-dimensional space according to the temperature data information of the computer room in different areas, and obtain a set of relevant influence degree weights of the temperature of different areas in the computer room.

[0022] The temperature sensor module contains multiple temperature sensors distributed in various locations in the computer room to collect temperature data in real time. For example, temperature sensors are set around the server cabinet to accurately obtain the impact of the heat generated by the equipment during operation on the ambient temperature. There are also humidity sensors, airflow sensors, etc. to obtain and record the humidity and airflow conditions inside the computer room.

[0023] The data acquisition module receives the analog temperature signal collected by the temperature sensor, removes noise interference through data filtering, and then amplifies and converts it into a digital temperature signal. If the IoT communication process fails, the data cache unit in the data acquisition module will temporarily store the collected temperature data.

[0024] In the embodiment of the present invention, the acquired data information set related to the computer room is , , Indicates Various data information indicators of the computer room, ; The data information set of the computer room temperature is , ,in, Indicates the number of different areas divided into the computer room. Representing a collection Any subset of Indicates A collection of data information in a region, ; Define the area set for the computer room as , , Indicates Regions; , Indicates The total number of monitoring times of data information in the area, Any subset of , Indicates In the region Time data information, , that is, the original room temperature data information support is obtained. Then, through data preprocessing, including singular value processing, invalid value processing and other data preprocessing, the data is denoised using the existing noise reduction processing method to obtain the comprehensive processed information data room temperature data .

[0025] The IoT communication process uses ZigBee wireless communication technology to transmit the pre-processed room temperature data The data processing unit in the control center receives the temperature data, organizes and stores the data, and establishes a temperature distribution model for the computer room based on the layout of the computer room and the location of the temperature sensor.

[0026] A multivariate space is established according to the preprocessed temperature data information of the computer room, and each area is marked in the multivariate space according to the temperature data information of the computer room in different areas to obtain a specific identification.

[0027] In the embodiment of the present invention, the multivariate space is represented as ,in, represents the category of multivariate space, Indicates spatial category data, each category contains the feature vectors of all regions under the corresponding spatial category; The spatial category data consists of temperature data information of different regions. In the multivariate space, according to the temperature data information of the computer room in different regions Marking is performed to obtain specific identifications of different areas, among which, It means that any region has a specific identity in the multivariate space; The multivariate vector composed of specific identification data information between different areas in the computer room is calculated. The specific process is as follows: Define the relevant impact weight set of the temperature in different areas of the computer room as follows: , calculate the temperature weight set of each area in the computer room in the multivariate space , , where the set Any element in , In multivariate space, The weight of the corresponding temperature conditions in each area; the weight characteristics are calculated according to different categories in the multivariate space, such as average temperature, temperature fluctuation range, and temperature change rate; The temperature of any two areas in the computer room can be expressed in multivariate space as , , , The specific process of calculating the relevant impact weight is as follows: in, Indicates , The weight of the temperature-related impact degree of each room division area; In multivariate space, The weight of the corresponding temperature conditions in each region; In multivariate space, The weight of the corresponding temperature conditions in each region; Indicates , The number of intersections of the temperature conditions of the areas divided in each computer room; The temperature conditions of any three areas in the computer room can be expressed in multivariate space as , , , in, Indicates , , The weight of the temperature-related impact degree of each room division area; represents the weight of the corresponding temperature condition of the pth region in the multivariate space; Indicates , , The number of intersections of the temperature conditions of the areas divided in each computer room; In the ideal state, The temperature fluctuation of the equipment room under group test is affected by interference; It means that any two regions The weight of the degree of influence in group testing; According to the above traversal, we can get the relevant influence weight set of the temperature in different areas of the computer room. , , represents the weight set of the temperature conditions of any area in the computer room, and the weight set of the relative influence degree of the temperature of any two areas, ..., A set of relevant impact weights of the temperature of each divided area; Therefore, the relevant influence weight feature set of the temperature in different areas of the integrated computer room is defined in advance with reference to historical data statistical analysis, equipment operation requirements, equipment heating density, etc. ,in, Indicates the integrated The weighted characteristic values ​​of the relevant impact degree of the temperature in different areas of the computer room, represents the number of features, ; Specifically, in the embodiment of the present invention, the existing technology is used for analysis, and the weight is determined according to the data characteristics of each reference factor and the degree of contribution to the temperature impact, for example, principal component analysis (PCA), entropy weight method, etc. Taking the entropy weight method as an example, the information entropy of each factor is calculated. The smaller the information entropy, the greater the degree of discreteness of the factor, the higher the degree of influence on the temperature of the computer room, and the greater the weight. The relevant influence degree weight characteristics of the temperatures in different areas of the computer room are integrated to construct an integrated set of relevant influence degree weight characteristics of the temperatures in different areas of the computer room.

[0028] By setting a set of relevant influence weights for the temperature of different regions, the present invention can more accurately reflect the differences in these regions and make the temperature management strategy more in line with the actual situation; the control system can more finely control the temperature of each region to ensure that the temperature distribution in the entire computer room is balanced and stable. At the same time, accurately understanding the influence of the temperature of different regions on the overall operation of the computer room can optimize the temperature control strategy, reduce unnecessary energy consumption, thereby saving energy costs, formulate a more stable and reliable temperature control plan, and improve the stability and reliability of the system.

[0029] S2. According to the integrated weight feature set of the relevant influence degree of the temperature in different areas of the computer room and combined with the relevant data information of the computer room, the priority level is set, and the priority is divided to formulate a strategy method for optimizing the temperature control of the computer room.

[0030] In an embodiment of the present invention, a priority level is set for the temperature control process of the computer room by obtaining a comprehensive weight score, and the temperature of the computer room is first controlled according to the priority level to obtain the first controlled temperature; at the same time, a temperature stability index is obtained to determine whether to issue an early warning and whether to perform a second control based on the result of the first control.

[0031] For each area in the multi-dimensional space of the computer room , based on the integrated weighted feature set of the relevant impact degree of the temperature in different areas of the computer room and the data information set related to the computer room , calculate the comprehensive weight score , the specific process is as follows: in, represents the mapping function, The data information of the computer room corresponding to the weight characteristics of the relevant influence degree of the temperature in different areas of the computer room after integration In the area The mapping value in .

[0032] According to the comprehensive weight score The regions are sorted. In the embodiment of the present invention, according to Sort from small to large to get the sorted sequence , is the number of areas in the computer room; set the priority points according to the sorting results , the calculation is as follows: ,in, Indicates rounding down.

[0033] For each computer room, divide the area The comprehensive weighted score , and determine their priority , the specific process is as follows: if ,but ; if ,but ; if ,but ; if ,but ; if ,but ; The temperature of the computer room is regulated according to the priority level to obtain the first regulated temperature , set the current room temperature to , the specific process is as follows: in, Indicates the corresponding control coefficients of different levels, , Indicates the target temperature set according to the equipment operation requirements of the computer room and relevant industry standards; when When , it means that the temperature stability of the equipment room is good, and fine-tuning is performed to keep the temperature stable. At this time, the first-level control coefficient is ;when When , it means that the temperature stability of the equipment room has decreased, and the control intensity should be appropriately increased. At this time, the second-level control coefficient is ;when When , it means that the temperature fluctuation in the computer room is large, and the control intensity is increased to reduce the temperature fluctuation. At this time, the third-level control coefficient is ;when When , it means that the temperature fluctuation in the equipment room has a greater impact on the operation of the equipment, and stronger control measures are taken. At this time, the fourth level control coefficient is ;when When the temperature in the equipment room fluctuates severely, priority should be given to making full efforts to quickly restore temperature stability. At this time, the fifth level control coefficient is .

[0034] At the same time, the temperature stability index is obtained to determine whether to issue an early warning based on the result of the first regulation and whether to conduct a second regulation.

[0035] In the embodiment of the present invention, after the temperature of the computer room is adjusted for the first time, in the selected time window Sample the room temperature and set the number of sampling points to , Indicates The temperature value at a moment, ; Calculate the average temperature within the time window , ; Computer room temperature stability index , used to measure the stability of the room temperature after the first regulation. Within a certain time window, observe the temperature fluctuation. If the fluctuation is small, it means that the temperature is relatively stable; if the fluctuation is large, it may mean that there are unstable factors in the regulation system or large external interference, which requires further attention and adjustment. The specific process is as follows: According to the operation requirements of the equipment in the computer room, the sensitivity of the business and the experience of experts, the temperature stability index thresholds of different warning levels are pre-set. The first warning threshold is The second warning threshold is , ; Set the room temperature stability index The first warning threshold , Second warning threshold Compare and determine the warning level: like , it means that the temperature stability of the equipment room is good, the result of the first temperature control meets the requirements, no warning is needed, and no second temperature control is required. The current control strategy can be maintained and regular monitoring can be performed; like , it means that the temperature stability of the equipment room has decreased, but it is still within the acceptable range. This is a low warning and you need to pay close attention to the temperature change trend. There is no need to adjust the temperature for the second time, but you should be prepared to take timely measures if the temperature stability deteriorates further. like , it means that the temperature fluctuates greatly and the result of the first adjustment is not ideal, which may have an impact on equipment and business. At this time, the warning level is high warning and a second temperature adjustment is required.

[0036] By setting priority levels, the present invention enables the system to quickly regulate the temperatures of different areas to ensure timely response in the event of abnormal temperature. The temperature stability index is obtained to evaluate the effect of the first regulation to ensure the stability of the temperature in the computer room and avoid excessive fluctuations that affect the normal operation of the equipment. At the same time, the first regulation result is judged according to the temperature stability index, and the control system can issue an early warning signal in time to prevent possible temperature abnormalities in advance and reduce potential risks. By integrating the early warning mechanism and setting the regulation level, the control system becomes more intelligent and adaptive, thereby improving the overall level of the computer room temperature control system.

[0037] S3. During the second regulation, the temperature correction coefficient of the computer room is obtained according to the energy consumption of the computer room temperature control equipment, the effect of the first regulation and the temperature change trend. ; Based on the room temperature correction factor Comparison with the preset room temperature correction coefficient Compare and adjust the room temperature based on the comparison results.

[0038] In the embodiment of the present invention, the temperature correction coefficient of the computer room is obtained according to the energy consumption data of the computer room temperature control equipment, the first control effect and the temperature change trend. ; For the energy consumption of the room temperature control equipment, if the room temperature still does not reach the ideal state after the first control under the condition of high energy consumption, it may be necessary to adjust the control strategy or check whether the equipment has faults; For the first control effect, if the temperature change is small after the first control and does not achieve the expected effect, then the adjustment coefficient may need to be increased in the second control, otherwise vice versa; For the temperature change trend, if the temperature continues to change away from the target temperature after the first control, then a larger adjustment coefficient is required to reverse this trend; The specific process is as follows: in, Indicates the basic adjustment constant coefficient, which is a constant pre-set according to the equipment and environmental characteristics of the computer room; , , They respectively represent the energy consumption of the temperature control equipment in the computer room, the effect of the first temperature control, and the weight coefficient of temperature change; Indicates the energy consumption value of the temperature control equipment in the computer room per unit time; , Respectively represent the minimum and maximum values ​​of the equipment’s energy consumption; Indicates the temperature change before and after the first regulation. ; Indicates the expected temperature change for the first regulation, which is preset according to the equipment performance and regulation strategy of the computer room; Indicates the temperature change trend, which is obtained by calculating the average rate of change of temperature over a period of time; Indicates the maximum allowable value of temperature change trend, which is set according to the tolerance and safety requirements of the equipment in the computer room.

[0039] According to the room temperature correction factor Comparison value with the preset room temperature correction coefficient Compare and adjust the room temperature based on the comparison results. Make correction adjustments. , the specific process is as follows: if , then the second control temperature is defined as , ,in, represents the first correction parameter; if , then the second control temperature is defined as , ,in, represents the second correction parameter; if , then the second control temperature is defined as , ,in, Represents the third correction parameter.

[0040] The present invention can optimize the performance of the computer room temperature control system through the computer room temperature correction coefficient, further improve the system efficiency, and more accurately adjust the computer room temperature through the comparison of the correction coefficient, ensure that the temperature is controlled within the set range, reduce temperature fluctuations, improve the stability of temperature control, and realize intelligent temperature control. The control strategy is automatically adjusted according to real-time data and set parameters, and the intelligence level of the system is improved; according to the comparison results of the correction coefficient, the system can make adjustments quickly, respond to temperature changes in a timely manner, and ensure that the environment in the computer room is in the best state.

[0041] S4. According to the adjusted room temperature , System response time And relevant data information in the computer room , establish a working status monitoring model for the task equipment in the computer room, monitor the temperature control process of the computer room through the working efficiency of the task equipment in the computer room, set thresholds to judge, and carry out secondary warnings at the same time.

[0042] In the embodiment of the present invention, a computer room equipment working status monitoring model is established to output the working efficiency of the equipment in the computer room, thereby monitoring the temperature control process of the computer room. The specific process is as follows: in, It represents the output result of the equipment working status monitoring model of the computer room, that is, the working efficiency of the task equipment in the computer room; Represents the work cost incurred in the system response time; Indicates control parameters; Indicates the failure rate of equipment in the computer room; Indicates the amount of tasks processed by the equipment in the computer room; Represents the cost loss due to system response delay; Indicates the equipment load rate of the computer room; Indicates the base load rate of the equipment in the computer room; Represents the stability factor, which is used to stabilize the monitoring process.

[0043] Based on a large number of experiments and expert experience and reference room task equipment parameter requirements, define the working efficiency threshold of standard room task equipment , record the total monitoring time , calculate the warning judgment value according to the degree to which the equipment working efficiency is lower than the threshold and the impact of the duration , as shown below: in, Indicates the working efficiency of the equipment in the computer room Lower than At every moment, , Indicates the total monitoring time The number of moments when the internal work efficiency is below the threshold; Indicates at time The degree of deviation of the work efficiency of the computer room task equipment relative to the warning threshold.

[0044] if , then a secondary warning will be triggered, the control system will send an alarm signal to the central platform, and the relevant management personnel will take timely countermeasures to adjust the temperature of the computer room.

[0045] By monitoring the working status of the computer room task equipment, the present invention can promptly discover abnormal or inefficient equipment operation, and then take measures to adjust and maintain the equipment to improve the equipment's operating efficiency and performance; by setting thresholds and conducting secondary warnings, it can promptly discover and take preventive measures before abnormalities or failures occur in the computer room task equipment, thereby reducing the risk of equipment failure, and reducing downtime and losses caused by equipment failure. At the same time, the temperature control strategy of the computer room is adjusted in real time to improve the stability of the control system, reduce temperature fluctuations, and ensure safe and stable operation of operations in the computer room.

[0046] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0047] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0048] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0049] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0050] The above contents are only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. An automatic temperature control system for a computer room based on the Internet of Things, characterized in that: Includes the following: Computer room data acquisition module, temperature data processing and analysis module, relevant impact weight determination module, temperature control priority setting module, computer room temperature control module, computer room temperature control process early warning module, computer room temperature stability index acquisition module, computer room equipment working status monitoring module; The computer room data acquisition module is responsible for real-time acquisition of various relevant data information inside the computer room; The temperature data processing and analysis module processes and analyzes the collected temperature data, extracts useful information and provides data support; The module for determining the relevant influence degree weight establishes a multivariate space, marks each area in the multivariate space according to the temperature data information of the computer room in different areas, obtains a specific identifier, and traverses the multivariate vector formed to obtain a set of relevant influence degree weights of the temperature of different areas in the computer room; The temperature control priority setting module calculates a comprehensive weight score for each area in the multi-dimensional space of the computer room according to the integrated weight feature set of the relevant influence degree of the temperature of different areas of the computer room and the set of relevant data information of the computer room, and sorts the areas to determine the priority level; The computer room temperature control module automatically controls the internal temperature of the computer room based on the analysis and setting of the computer room related data to ensure that the temperature is maintained within the normal demand range; the computer room temperature control module includes a first temperature control unit and a second temperature control unit; The computer room temperature control process early warning module monitors abnormal conditions during the temperature control process, issues early warnings in a timely manner and takes necessary measures; the computer room temperature control process early warning module includes a first early warning unit and a second early warning unit; The computer room temperature stability index acquisition module calculates the computer room temperature stability index and adjusts the system parameters in time according to the index feedback; The computer room equipment working status monitoring module monitors the working status of the equipment in the computer room to ensure that the equipment operates normally and handles abnormal situations in a timely manner.

2. According to the Internet of Things-based computer room temperature automatic control system of claim 1, it is characterized in that: The first temperature control unit obtains a priority level based on the comprehensive weight score determined for each area of ​​the computer room during the temperature control process of the computer room, and performs a first control on the temperature of the computer room according to the priority level; The second temperature control unit obtains the temperature correction coefficient of the computer room according to the energy consumption of the temperature control equipment in the computer room, the effect of the first control and the temperature change trend, and performs the second control; The first warning unit obtains the temperature stability index to determine whether to issue a warning based on the result of the first regulation; The second warning unit monitors the temperature control process of the computer room according to the working efficiency of the equipment in the computer room, and sets a threshold to determine whether to issue a secondary warning.

3. A computer room temperature automatic control method based on the Internet of Things, applied to the computer room temperature automatic control system based on the Internet of Things according to claim 1, characterized in that: The following steps are involved: Step S1. Obtain relevant data information of the computer room through the sensors deployed in the computer room, establish a multi-dimensional space for different areas divided inside the computer room, mark each area in the multi-dimensional space according to the temperature data information of the computer room in different areas, and obtain an integrated set of relevant influence degree weights of the temperature of different areas in the computer room; Step S2. Priority levels are set based on the integrated weighted feature set of the relevant impact degree of the temperature in different areas of the computer room and combined with the relevant data information of the computer room, and priority division is performed to formulate a strategy method for optimizing the temperature control of the computer room; Step S3. When performing the second regulation, the temperature correction coefficient of the computer room is obtained according to the energy consumption of the computer room temperature control equipment, the effect of the first regulation and the temperature change trend; Step S4: Based on the adjusted room temperature, system response time and relevant data information in the room, a room equipment working status monitoring model is established to perform regulation and monitoring.

4. The method for automatic temperature control of a computer room based on the Internet of Things according to claim 3 is characterized in that: The step S1 specifically includes: The multivariate space is represented as ,in, represents the category of multivariate space, Indicates spatial category data, each category contains the feature vectors of all regions under the corresponding spatial category; The spatial category data consists of temperature data information of different regions. In the multivariate space, according to the temperature data information of the computer room in different regions Marking is performed to obtain specific identifications of different areas, among which, It means that any region has a specific identity in the multivariate space; By calculating the multivariate vector composed of specific identification data information between different areas in the computer room, an integrated set of relevant influence degree weights of the temperatures of different areas in the computer room is obtained.

5. The method for automatic temperature control of a computer room based on the Internet of Things according to claim 3 is characterized in that: The step S2 specifically includes: The comprehensive weight score determined for each area of ​​the computer room during the temperature control process , get its priority level, adjust the temperature of the computer room for the first time according to the priority level, and get the first adjustment temperature ; in, represents the mapping function, The data information of the computer room corresponding to the weight characteristics of the relevant influence degree of the temperature in different areas of the computer room after integration In the area The mapping value in ; Indicates the integrated The weighted characteristic values ​​of the relevant impact degree of the temperature in different areas of the computer room, represents the number of features, .

6. The method for automatic temperature control of a computer room based on the Internet of Things according to claim 5 is characterized in that: In step S2, the temperature stability index is obtained The results of the first regulation Determine whether to issue an early warning and whether to conduct a second regulation.

7. The method for automatic temperature control of a computer room based on the Internet of Things according to claim 6 is characterized in that: The step S2 specifically includes: The temperature stability index thresholds of different warning levels are pre-set, among which the first warning threshold is The second warning threshold is , ; Set the room temperature stability index The first warning threshold , Second warning threshold Compare and determine the warning level: like , it means that the temperature stability of the equipment room is good, the result of the first temperature adjustment meets the requirements, no warning is needed, and no second temperature adjustment is needed; like , it means that the temperature stability of the equipment room has decreased, but it is still within the acceptable range. At this time, it is a low warning and there is no need to adjust the temperature for the second time; like , it means that the result of the first regulation cannot meet the requirements. At this time, the warning level is high warning and a second temperature regulation is required.

8. The method for automatic temperature control of a computer room based on the Internet of Things according to claim 3 is characterized in that: In step S3, the temperature correction coefficient of the machine room is used Comparison value with the preset room temperature correction coefficient Compare and adjust the room temperature according to the comparison results; if , then the second control temperature is defined as , , represents the first correction parameter; if , then the second control temperature is defined as , , represents the second correction parameter; if , then the second control temperature is defined as , , Represents the third correction parameter.

9. The method for automatic temperature control of a computer room based on the Internet of Things according to claim 3 is characterized in that: The step S4 specifically includes: Through the work efficiency of equipment in the computer room Monitor the temperature control process of the computer room and set early warning judgment values To determine whether to issue a secondary warning; record the total monitoring time length ; in, Indicates the working efficiency of the equipment in the computer room Lower than At every moment, , Indicates the total monitoring time The number of moments when the internal work efficiency is below the threshold; Indicates the working efficiency of the standard computer room task equipment; Indicates at time The degree of deviation of the work efficiency of the computer room task equipment from the warning threshold; if , then trigger the second warning.

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