A smart computer room BA automatic control management system based on big data analysis

Abstract

The present invention belongs to the field of building automation and involves data analysis technology. It is used to solve the problem that the existing technology adopts a single environmental control trigger method and is difficult to meet the actual needs of a smart computer room. Specifically, it is a smart computer room BA automatic control management system based on big data analysis, including a real-time monitoring module, the real-time monitoring module is communicatively connected to a controller and a startup management module, the startup management module is communicatively connected to a startup control module, and the startup control module is communicatively connected to the controller; the real-time monitoring module is used to perform real-time monitoring and analysis of the environment in the smart computer room; the startup management module is used to manage and analyze the startup environment and energy consumption of the smart computer room; the startup control module is used to perform environmental control analysis when the smart computer room is in the startup state; the present invention can perform real-time monitoring and analysis of the environment in the smart computer room, and perform environmental control processing when the air quality does not meet the requirements, so as to avoid machine failure caused by abnormal environment in the computer room.

Description

Technical Field

[0001] The present invention belongs to the field of building automation and relates to data analysis technology, and specifically is a smart computer room BA automatic control management system based on big data analysis. Background Art

[0002] The smart computer room BA automatic control management system is a building automatic control system that integrates components such as sensors, actuators, controllers, network communication equipment and user interfaces. The system monitors and analyzes environmental parameters in the computer room, such as temperature, humidity, air quality, etc., as well as equipment operating status in real time, to achieve precise control of the computer room environment and intelligent management of equipment.

[0003] The BA automatic management system of the smart computer room in the prior art generally collects the environmental parameters in the computer room through sensors, and then automatically adjusts and controls the environment according to the data analysis results; however, this real-time collection and monitoring method will not generate feedback before the environmental parameters reach the corresponding threshold. When there are many machines working at the same time in the computer room, a large amount of heat will accumulate in the computer room before the environmental control is triggered, resulting in poor environmental control effect and high energy consumption after the environmental control is triggered. Therefore, a single environmental control triggering method cannot meet the different usage environments of the smart computer room.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a smart computer room BA automatic control management system based on big data analysis, which is used to solve the problem that the existing technology uses a single environmental control trigger method to meet the actual needs of the smart computer room;

[0006] The technical problem to be solved by the present invention is: how to provide a smart computer room BA automatic control management system based on big data analysis that can adopt multiple environmental control triggering methods.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A smart computer room BA automatic control management system based on big data analysis, comprising a real-time monitoring module, the real-time monitoring module is communicatively connected to a controller and a startup management module, the startup management module is communicatively connected to a startup control module, and the startup control module is communicatively connected to the controller;

[0009] The real-time monitoring module is used to perform real-time monitoring and analysis on the environment in the smart computer room: generate a monitoring cycle, and obtain the heat data RL and humidity data CS of the smart computer room in real time during the monitoring cycle; obtain the control coefficient TK of the smart computer room by numerically calculating the heat data RL and the humidity data CS; and determine whether the indoor environment of the smart computer room needs to be regulated by the control coefficient TK;

[0010] The startup management module is used to manage and analyze the startup environment and energy consumption of the smart computer room: mark the continuous process of starting the machine in the smart computer room as the startup process, obtain the startup data of the startup process, the startup data includes the number of machines started and the startup time, and obtain the management coefficient GL of the startup process; mark the matching duration of the startup interval by the management coefficient GL; send the matching duration of all the startup intervals to the startup control module;

[0011] The power-on control module is used to perform environmental control analysis when the smart computer room is powered on.

[0012] As a preferred embodiment of the present invention, the process of acquiring heat data RL includes: setting a number of monitoring points in the smart computer room, acquiring the air temperature values ​​of the monitoring points in real time, retrieving the air temperature range, marking the average value of the maximum value and the minimum value of the air temperature range as the temperature balance value, marking the absolute value of the difference between the air temperature value and the temperature balance value as the heat value of the monitoring point, and marking the maximum value of the heat values ​​of all monitoring points as the heat data RL; the process of acquiring moisture data CS includes: acquiring the air humidity values ​​of the monitoring points in real time, retrieving the air humidity range, marking the average value of the maximum value and the minimum value of the air humidity range as the moisture balance value, marking the absolute value of the difference between the air humidity value and the moisture balance value as the moisture value of the monitoring point, and marking the maximum value of the moisture values ​​of all monitoring points as the moisture data CS.

[0013] As a preferred embodiment of the present invention, the specific process of determining whether the indoor environment of the smart computer room needs to be regulated includes: comparing the regulation coefficient TK of the smart computer room with the preset regulation threshold TKmax: if the regulation coefficient TK is less than the regulation threshold Tkmax, it is determined that the indoor environment of the smart computer room does not need to be regulated; if the regulation coefficient TK is greater than or equal to the regulation threshold TK, it is determined that the indoor environment of the smart computer room needs to be regulated, a regulation signal is generated and sent to the controller, and after receiving the regulation signal, the controller controls the regulation unit to start, and the regulation unit includes a fan, a humidifier and an air purifier.

[0014] As a preferred embodiment of the present invention, the process of obtaining the management coefficient GL of the startup process includes: allocating a corresponding interval control duration for the startup process, timing the startup time of the startup process, and generating a control signal when the duration reaches the interval control duration and sending the control signal to the controller, after receiving the control signal, the controller controls the control unit to start, and then marks the remaining stages of the startup process as a management period, obtains the environmental data HJ and energy consumption data NH of the management period, and obtains the management coefficient GL of the startup process by numerically calculating the environmental data HJ and the energy consumption data NH.

[0015] As a preferred embodiment of the present invention, the process of obtaining the environmental data HJ includes: dividing the management period into several sub-periods, obtaining the maximum value of the control coefficient TK in the sub-period and marking it as the control value of the sub-period, and summing and averaging the control values ​​of all sub-periods to obtain the environmental data HJ; the energy consumption data NH is the total amount of energy consumed by the control unit in the management period.

[0016] As a preferred embodiment of the present invention, the specific process of marking the matching duration of the start-up interval includes: the maximum and minimum values ​​of the number of machine start-ups in the start-up process constitute a start-up range, the start-up range is divided into several start-up intervals, the start-up process in which the number of machine start-ups is within the start-up interval is marked as the matching process of the start-up interval, and the interval control duration corresponding to the matching process with the smallest management coefficient GL value is marked as the matching duration of the start-up interval.

[0017] As a preferred embodiment of the present invention, the specific process of the power-on control module performing environmental control analysis when the smart computer room is powered on includes: when a machine is turned on in the smart computer room, the number of machines turned on is obtained, and then the matching duration of the power-on interval corresponding to the number of machines turned on is retrieved, and the machine is turned on. When the duration reaches the matching duration, a control signal is generated and sent to the controller, and the controller controls the control unit to start after receiving the control signal.

[0018] The present invention has the following beneficial effects:

[0019] 1. The real-time monitoring module can monitor and analyze the environment in the smart computer room in real time. The air quality in the smart computer room can be evaluated in real time by collecting heat data and humidity data in real time. When the air quality does not meet the requirements, environmental control can be performed to avoid machine failures caused by abnormal environment in the computer room.

[0020] 2. The startup management module can manage and analyze the startup environment and energy consumption of the smart computer room, and comprehensively analyze the overall indoor environment and energy consumption status of each startup process to obtain the management coefficient, so as to mark the matching duration of the startup interval according to the management coefficient of the startup process within the startup interval, thereby improving the environmental control effect of the startup process while reducing energy consumption;

[0021] 3. The power-on control module can be used to perform environmental control analysis on the power-on state of the smart computer room. Combined with real-time monitoring and analysis, it can ensure the indoor environment of the smart computer room while reducing overall energy consumption. The power-on behavior is used as the control trigger switch, and the number of machines turned on is used to predict the heating trend, optimal control time, etc., so as to automatically control the control unit according to the matching interval control time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] 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, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0024] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0025] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] Embodiment 1

[0027] like Figure 1 As shown, a smart computer room BA automatic control management system based on big data analysis includes a real-time monitoring module, the real-time monitoring module is communicatively connected to a controller and a startup management module, the startup management module is communicatively connected to a startup control module, and the startup control module is communicatively connected to the controller.

[0028] The real-time monitoring module is used to monitor and analyze the environment in the smart computer room in real time: generate a monitoring cycle, and obtain the heat data RL and humidity data CS of the smart computer room in real time during the monitoring cycle. The process of obtaining the heat data RL includes: setting a number of monitoring points in the smart computer room, obtaining the air temperature value of the monitoring point in real time, retrieving the air temperature range, marking the average value of the maximum and minimum values ​​of the air temperature range as the temperature balance value, marking the absolute value of the difference between the air temperature value and the temperature balance value as the heat value of the monitoring point, and marking the maximum value of the heat value of all monitoring points as the heat data RL; the process of obtaining the humidity data CS includes: obtaining the air humidity value of the monitoring point in real time, retrieving the air humidity range, marking the average value of the maximum and minimum values ​​of the air humidity range as the humidity balance value, marking the absolute value of the difference between the air humidity value and the humidity balance value as the humidity value of the monitoring point, and marking the maximum value of the humidity value of all monitoring points as the humidity data CS; through the formula The control coefficient TK of the smart computer room is obtained, wherein k1 and k2 are respectively the preset proportional coefficients of the heat data RL and the humidity data CS, k1 and k2 satisfy k1+k2=1, 0<k1<k2<1, e is a natural constant, and the value of e is 2.718; the control coefficient TK of the smart computer room is compared with the preset control threshold TKmax: if the control coefficient TK is less than the control threshold Tkmax, it is determined that the indoor environment of the smart computer room does not need to be regulated; if the control coefficient TK is greater than or equal to the control threshold TK, it is determined that the indoor environment of the smart computer room needs to be regulated, and a control signal is generated and sent to the controller. After receiving the control signal, the controller controls the control unit to start, and the control unit includes a fan, a humidifier and an air purifier; the environment in the smart computer room is monitored and analyzed in real time, and the air quality in the smart computer room is evaluated in real time by collecting heat data and humidity data in real time. When the air quality does not meet the requirements, environmental control processing is performed to avoid machine failure caused by abnormal environment in the computer room.

[0029] The startup management module is used to manage and analyze the startup environment and energy consumption of the smart computer room: the continuous process of starting the machines in the smart computer room is marked as the startup process, and the startup data of the startup process is obtained. The startup data includes the number of machines started and the startup time. The corresponding interval control duration is assigned to the startup process, and the startup time of the startup process is counted. When the duration reaches the interval control duration, a control signal is generated and sent to the controller. After receiving the control signal, the controller controls the control unit to start, and then marks the remaining stages of the startup process as the management period, and obtains the environmental data HJ and energy consumption data NH of the management period. The process of obtaining the environmental data HJ includes: dividing the management period into several sub-periods, obtaining the maximum value of the control coefficient TK in the sub-period and marking it as the control value of the sub-period, and summing and averaging the control values ​​of all sub-periods to obtain the environmental data HJ; the energy consumption data NH is the total energy consumed by the control unit in the management period; through the formula The management coefficient GL of the startup process is obtained, m1 and m2 are respectively the preset proportional coefficients of the environmental data HJ and the energy consumption data NH, m1 and m2 satisfy m1+m2=1, 0<m2<m1<1; the startup range is composed of the maximum and minimum values ​​of the number of machine startups in the startup process, and the startup range is divided into several startup intervals, and the startup process in which the number of machine startups is within the startup interval is marked as the matching process of the startup interval, and the interval control duration corresponding to the matching process with the smallest management coefficient GL value is marked as the matching duration of the startup interval; the matching duration of all startup intervals is sent to the startup control module; the startup environment and energy consumption of the smart computer room are managed and analyzed, and the overall indoor environment and energy consumption status of each startup process are comprehensively analyzed to obtain the management coefficient, so as to mark the matching duration of the startup interval according to the management coefficient of the startup process in the startup interval, thereby improving the environmental control effect of the startup process while reducing energy consumption.

[0030] The power-on control module is used to perform environmental control analysis when the smart computer room is in the power-on state: when there are machines turned on in the smart computer room, the number of machines turned on is obtained, and then the matching duration of the power-on interval corresponding to the number of machines turned on is retrieved, and the machine is timed. When the duration reaches the matching duration, a control signal is generated and sent to the controller. After receiving the control signal, the controller controls the control unit to start; the environmental control analysis is performed on the power-on state of the smart computer room, combined with real-time monitoring and analysis, to ensure the indoor environment of the smart computer room while reducing the overall energy consumption, use the power-on behavior as the control trigger switch, and use the number of turned-on machines to predict the heating trend, the optimal control time, etc., so as to automatically control the control unit according to the matching interval control duration.

[0031] Embodiment 2

[0032] like Figure 2As shown, a smart computer room BA automatic control management method based on big data analysis includes the following steps:

[0033] Step 1: Real-time monitoring and analysis of the environment in the smart computer room: Generate a monitoring cycle, obtain the heat data RL and humidity data CS of the smart computer room in real time during the monitoring cycle, and perform numerical calculations to obtain the control coefficient TK. Use the control coefficient TK to determine whether the indoor environment of the smart computer room needs to be regulated;

[0034] Step 2: Manage and analyze the startup environment and energy consumption of the smart computer room: mark the continuous process of turning on the machines in the smart computer room as the startup process, obtain the management coefficient GL of the startup process, and mark the matching duration of the startup interval by the management coefficient GL;

[0035] Step 3: Perform environmental control analysis when the smart computer room is turned on: When there are machines turned on in the smart computer room, obtain the number of machines turned on, and then call the matching duration of the opening interval corresponding to the number of machines turned on. Start timing at the machine turning on time, and perform environmental control when the duration reaches the matching duration.

[0036] A BA automatic control management system for a smart computer room based on big data analysis generates a monitoring cycle when working, obtains the heat data RL and humidity data CS of the smart computer room in real time during the monitoring cycle, and performs numerical calculation to obtain the control coefficient TK, and determines whether the indoor environment of the smart computer room needs to be regulated through the control coefficient TK; marks the continuous process when the machines in the smart computer room are turned on as the power-on process, obtains the management coefficient GL of the power-on process, and marks the matching duration of the start-up interval through the management coefficient GL; when a machine is turned on in the smart computer room, obtains the number of machines turned on, and then retrieves the matching duration of the start-up interval corresponding to the number of machines turned on, counts the machine on time, and performs environmental regulation when the duration reaches the matching duration.

[0037] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0038] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0039] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A smart computer room BA automatic control management system based on big data analysis, characterized in that: It includes a real-time monitoring module, the real-time monitoring module is communicatively connected to the controller and the startup management module, the startup management module is communicatively connected to the startup control module, and the startup control module is communicatively connected to the controller; The real-time monitoring module is used to perform real-time monitoring and analysis on the environment in the smart computer room: generate a monitoring cycle, and obtain the heat data RL and humidity data CS of the smart computer room in real time during the monitoring cycle; obtain the control coefficient TK of the smart computer room by numerically calculating the heat data RL and the humidity data CS; and determine whether the indoor environment of the smart computer room needs to be regulated by the control coefficient TK; The startup management module is used to manage and analyze the startup environment and energy consumption of the smart computer room: mark the continuous process of starting the machine in the smart computer room as the startup process, obtain the startup data of the startup process, the startup data includes the number of machines started and the startup time, and obtain the management coefficient GL of the startup process; mark the matching duration of the startup interval by the management coefficient GL; send the matching duration of all the startup intervals to the startup control module; The power-on control module is used to perform environmental control analysis when the smart computer room is powered on; The process of obtaining the management coefficient GL of the startup process includes: allocating a corresponding interval control duration to the startup process, timing the startup time of the startup process, and generating a control signal when the duration reaches the interval control duration and sending the control signal to the controller, the controller controls the control unit to start after receiving the control signal, and then marks the remaining stage of the startup process as a management period, obtains the environmental data HJ and the energy consumption data NH of the management period, and obtains the management coefficient GL of the startup process by numerically calculating the environmental data HJ and the energy consumption data NH; The process of obtaining the environmental data HJ includes: dividing the management period into several sub-periods, obtaining the maximum value of the control coefficient TK in the sub-period and marking it as the control value of the sub-period, and summing and averaging the control values ​​of all sub-periods to obtain the environmental data HJ; the energy consumption data NH is the total amount of energy consumed by the control unit in the management period; The specific process of marking the matching duration of the start-up interval includes: forming a start-up range from the maximum and minimum values ​​of the number of machine start-ups in the start-up process, dividing the start-up range into a number of start-up intervals, marking the start-up process in which the number of machine start-ups is within the start-up interval as the matching process of the start-up interval, and marking the interval control duration corresponding to the matching process with the smallest management coefficient GL value as the matching duration of the start-up interval; The specific process of the power-on control module performing environmental control analysis when the smart computer room is powered on includes: when a machine is turned on in the smart computer room, the number of machines turned on is obtained, and then the matching duration of the power-on interval corresponding to the number of machines turned on is retrieved, and the machine is turned on for timing. When the duration reaches the matching duration, a control signal is generated and sent to the controller. After receiving the control signal, the controller controls the control unit to turn on.

2. According to the big data analysis-based smart computer room BA automatic control management system of claim 1, it is characterized in that: The process of acquiring heat data RL includes: setting up several monitoring points in the smart computer room, acquiring the air temperature values ​​of the monitoring points in real time, retrieving the air temperature range, marking the average value of the maximum and minimum values ​​of the air temperature range as the temperature balance value, marking the absolute value of the difference between the air temperature value and the temperature balance value as the heat value of the monitoring point, and marking the maximum value of the heat values ​​of all monitoring points as the heat data RL; the process of acquiring moisture data CS includes: acquiring the air humidity values ​​of the monitoring points in real time, retrieving the air humidity range, marking the average value of the maximum and minimum values ​​of the air humidity range as the moisture balance value, marking the absolute value of the difference between the air humidity value and the moisture balance value as the moisture value of the monitoring point, and marking the maximum value of the moisture values ​​of all monitoring points as the moisture data CS.

3. According to the big data analysis-based smart computer room BA automatic control management system of claim 2, it is characterized in that: The specific process of determining whether the indoor environment of the smart computer room needs to be regulated includes: comparing the regulation coefficient TK of the smart computer room with the preset regulation threshold TKmax: if the regulation coefficient TK is less than the regulation threshold Tkmax, it is determined that the indoor environment of the smart computer room does not need to be regulated; if the regulation coefficient TK is greater than or equal to the regulation threshold TK, it is determined that the indoor environment of the smart computer room needs to be regulated, generating a regulation signal and sending the regulation signal to the controller. After receiving the regulation signal, the controller controls the regulation unit to start, and the regulation unit includes a fan, a humidifier and an air purifier.

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