A network information equipment operation and maintenance management system based on data analysis

Abstract

The invention relates to the field of operation and maintenance management, and discloses a network information equipment operation and maintenance management system based on data analysis, comprising: an operation information collection module, an operation and maintenance information processing module, an operation and maintenance information analysis module and an operation and maintenance alarm module, wherein the operation information collection module comprises a power equipment status information collection unit and a data center environmental parameter collection unit, and is used to realize information collection; the operation and maintenance information processing module comprises a No. 1 analysis unit and a No. 2 analysis unit, wherein the No. 1 analysis unit is used to judge whether there is an abnormal item according to the collected information and generate a No. 1 warning information, and if so, whether the No. 1 warning information is true is judged by the No. 2 analysis unit; if the No. 1 warning information is true, the operation and maintenance information analysis module sends an alarm signal, and if the No. 1 warning information is false, the operation and maintenance information analysis module does not send an alarm signal; the operation and maintenance alarm module receives the alarm signal and triggers an alarm to notify the operation and maintenance management personnel.

Description

Technical Field

[0001] The present invention relates to the field of operation and maintenance management, and in particular to a network information equipment operation and maintenance management system based on data analysis. Background Art

[0002] Network information equipment refers to the dedicated hardware equipment used to connect various servers, PCs, application terminals and other nodes to form an information communication network. These devices are of various types and have different functions, but they all play an indispensable role in network communication.

[0003] In order to keep network information equipment in good working condition, operation and maintenance management is particularly important. As an important part of operation and maintenance management, the dynamic environment monitoring module is mainly used to monitor the data center in real time to ensure its stable operation. However, in actual applications, it is found that when using sensors to monitor various environmental parameters and equipment status of the data center, because the setting of alarm conditions may not be accurate or reasonable enough, false alarms and missed alarms are prone to occur, which in turn affects the reliability and effectiveness of the system. Summary of the invention

[0004] The purpose of the present invention is to provide a network information equipment operation and maintenance management system based on data analysis to solve the above technical problems.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A network information equipment operation and maintenance management system based on data analysis, comprising:

[0007] Operation information collection module, including power equipment status information collection unit and data center environmental parameter collection unit;

[0008] The power equipment status information unit is used to collect power supply status information and air conditioner status information;

[0009] The data center environmental parameter collection unit is used to collect environmental parameter information in the data center;

[0010] Operation and maintenance information processing module, including No. 1 analysis unit and No. 2 analysis unit;

[0011] The first analysis unit is used to compare the collected power supply and air conditioner status information with the corresponding status warning thresholds, and to compare the environmental parameters with the corresponding parameter warning thresholds. If at least one comparison result is reached or exceeded, it indicates that the item is an abnormal item and generates a first warning information;

[0012] The second analysis unit processes the information collected by the operation information collection module to obtain the power supply status evaluation coefficient, the air conditioning status evaluation coefficient and the environmental status evaluation coefficient, and then analyzes the historical changes of the abnormal items according to the first warning information, and determines whether the first warning information is true according to the analysis results;

[0013] The operation and maintenance information analysis module sends out an alarm signal if the No. 1 alarm information is true, and does not send out an alarm signal if the No. 1 alarm information is false;

[0014] The operation and maintenance alarm module receives alarm signals and triggers alarms to notify operation and maintenance managers.

[0015] As a further technical solution, the process of obtaining the power state evaluation coefficient is:

[0016] Get the input voltage of the power supply in real time , output voltage and input current , output current value;

[0017] Take the current time as the end point and go back a preset period to get the starting point as the evaluation period. Randomly obtain sampling time points, and obtain the input voltage corresponding to each sampling time point , output voltage and input current , output current ;

[0018] By formula:

[0019]

[0020] Calculate the power status assessment coefficient ;

[0021] in, , is the reference coefficient.

[0022] As a further technical solution, the process of obtaining the air conditioning state evaluation coefficient is:

[0023] Get the indoor temperature of the data center in real time , Indoor humidity value;

[0024] At the current moment Get the starting point one preset period after the end point As the evaluation period, obtain the actual indoor temperature change curve over time during the evaluation period and air conditioning set temperature ;

[0025] Get the actual indoor humidity change curve over time during the evaluation period and air conditioning set temperature ;

[0026] By formula: Calculate the air conditioning status assessment coefficient ;

[0027] in, For this evaluation period The number of For this evaluation period The number of .

[0028] As a further technical solution, the process of obtaining the environmental status assessment coefficient is:

[0029] Pre-divide the data center into There are a group of environmental monitoring points in each environmental monitoring area to collect the temperature in each environmental monitoring area. ,humidity and suspended particle concentration ;

[0030] By formula:

[0031] Calculate the environmental status assessment coefficient ;

[0032] in, is the status assessment coefficient for each environmental monitoring area, is the preset weight coefficient, , , is the preset scale factor, , , are the number of monitoring points for temperature, humidity, and suspended particle concentration in each environmental monitoring area, For the monitoring points.

[0033] As a further technical solution, the process of judging whether the No. 1 warning information is true according to the analysis results is as follows:

[0034] Compare the state evaluation coefficient corresponding to the abnormal item with the preset evaluation threshold range;

[0035] If the state evaluation coefficient corresponding to the abnormal item exceeds the evaluation threshold range, the No. 1 warning information is judged to be true;

[0036] If the state evaluation coefficient corresponding to the abnormal item is within the evaluation threshold range, the deviation index is calculated based on the deviation between the change curve of the state evaluation coefficient corresponding to the abnormal item over time in a working cycle and the reference change curve, and the No. 1 warning information is re-judged based on the deviation index;

[0037] If the state evaluation coefficient corresponding to the abnormal item is lower than the evaluation threshold range, the No. 1 warning information is judged to be false.

[0038] As a further technical solution, the process of obtaining the deviation index of the abnormal item is:

[0039] By formula: Calculate the deviation index corresponding to the abnormal item ;

[0040] The power supply status assessment coefficient, air conditioning status assessment coefficient, and environmental status assessment coefficient are marked as 1, 2, and 3 in sequence. , They are the starting time point and the ending time point of a working cycle respectively.

[0041] As a further technical solution, the process of making a secondary judgment on the No. 1 warning information according to the deviation index is as follows:

[0042] The deviation index corresponding to the calculated abnormal item Deviation from preset threshold For comparison:

[0043] like ≥ , then the No. 1 warning information of the abnormal item is judged to be true;

[0044] like < , then the No. 1 warning information of the abnormal item is judged to be false.

[0045] As a further technical solution, the system also includes a communication module for establishing communication connections between the operation information collection module, the operation and maintenance information processing module, the operation and maintenance information analysis module, and the operation and maintenance alarm module.

[0046] Beneficial effects of the present invention:

[0047] The present invention sets two analysis units in the operation and maintenance information processing module, namely, analysis unit No. 1 and analysis unit No. 2. Analysis unit No. 1 compares the collected status information of power supply and air conditioner with their corresponding status warning thresholds, and compares the environmental parameters with their corresponding parameter warning thresholds. If at least one comparison result is reached or exceeded, it means that the item is an abnormal item and generates warning information No. 1. Then, analysis unit No. 2 reviews the warning information No. 1 generated by analysis unit No. 1 to determine whether the warning information No. 1 is true or false. If it is true, an alarm signal is issued, and the operation and maintenance alarm module receives the alarm signal and triggers the alarm to notify the operation and maintenance management personnel. Through the above process, the dual effects of reducing false alarms and maintaining the original alarm sensitivity can be effectively achieved, thereby taking into account the needs of timely alarm maintenance and effective alarms. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The present invention will be further described below in conjunction with the accompanying drawings.

[0049] Figure 1 It is a system structure block diagram of the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.

[0051] See also Figure 1 As shown, the present invention is a network information equipment operation and maintenance management system based on data analysis, comprising:

[0052] The operation information collection module includes a power equipment status information collection unit and a data center environmental parameter collection unit; the power equipment status information unit is used to collect power supply status information and air conditioner status information; the data center environmental parameter collection unit is used to collect environmental parameter information in the data center;

[0053] The operation and maintenance information processing module includes a No. 1 analysis unit and a No. 2 analysis unit; the No. 1 analysis unit is used to compare the collected power supply and air conditioning status information with the corresponding status warning thresholds, and compare the environmental parameters with the corresponding parameter warning thresholds. If at least one comparison result is reached or exceeded, it means that the item is an abnormal item and generates No. 1 warning information; the No. 2 analysis unit processes the information collected by the operation information collection module to obtain the power supply status evaluation coefficient, the air conditioning status evaluation coefficient and the environmental status evaluation coefficient, and then analyzes the historical changes of the abnormal items according to the No. 1 warning information, and judges whether the No. 1 warning information is true according to the analysis results;

[0054] The operation and maintenance information analysis module sends out an alarm signal if the No. 1 alarm information is true, and does not send out an alarm signal if the No. 1 alarm information is false;

[0055] The operation and maintenance alarm module receives alarm signals and triggers alarms to notify operation and maintenance managers.

[0056] In this embodiment, in order to prevent the problem that the setting of the alarm conditions may not be accurate or reasonable enough, which may easily lead to false alarms and missed alarms, thereby affecting the reliability and effectiveness of the system, two analysis units are set in the operation and maintenance information processing module, namely, analysis unit No. 1 and analysis unit No. 2. Analysis unit No. 1 compares the collected power supply and air-conditioning status information with their corresponding status warning thresholds, and compares the environmental parameters with their corresponding parameter warning thresholds. If at least one comparison result is reached or exceeded, it means that the item is an abnormal item and generates warning information No. 1. Then, the warning information No. 1 generated by the analysis unit No. 1 is reviewed by the analysis unit No. 2 to determine whether the warning information No. 1 is true or false. If it is true, an alarm signal is issued, and the operation and maintenance alarm module receives the alarm signal and triggers the alarm to notify the operation and maintenance management personnel. Through the above process, the dual effects of reducing false alarms and maintaining the original alarm sensitivity can be effectively achieved, thereby taking into account the needs of timely alarm maintenance and effective alarms.

[0057] The process of obtaining the power state evaluation coefficient is as follows:

[0058] Get the input voltage of the power supply in real time , output voltage and input current , output current value;

[0059] Take the current time as the end point and go back a preset period to get the starting point as the evaluation period. Randomly obtain sampling time points, and obtain the input voltage corresponding to each sampling time point , output voltage and input current , output current ;

[0060] By formula:

[0061]

[0062] Calculate the power status assessment coefficient ;

[0063] in, , is the reference coefficient.

[0064] In this embodiment, a specific method for obtaining the power supply device status evaluation coefficient is provided. Therefore, the formula , Calculate the fluctuation of power supply voltage and current in a preset period from the current moment to the next. , The larger the value, the greater the voltage and current fluctuation of the power supply, which reflects that the power supply is in a bad state. , Substitution The power status assessment coefficient is obtained from , obviously if , The larger the ratio, the unhealthier the power supply status. Therefore, a correlation model is established through the input and output voltages and input and output currents of the power supply, and a comprehensive analysis is performed with the fluctuations within a preset time period to achieve the purpose of accurately evaluating the actual status of the power supply.

[0065] The process of obtaining the air conditioning state evaluation coefficient is as follows:

[0066] Get the indoor temperature of the data center in real time , Indoor humidity value;

[0067] At the current moment Get the starting point one preset period after the end point As the evaluation period, obtain the actual indoor temperature change curve over time during the evaluation period and air conditioning set temperature ;

[0068] Get the actual indoor humidity change curve over time during the evaluation period and air conditioning set temperature ;

[0069] By formula: Calculate the air conditioning status assessment coefficient ;

[0070] in, For this evaluation period The number of For this evaluation period The number of .

[0071] In this embodiment, a method for obtaining an air conditioning state evaluation coefficient is provided. Specifically, the formula Calculate the air conditioning status assessment coefficient ,in The greater the deviation, the greater the deviation between the air conditioner set temperature and the actual indoor temperature. Therefore, there is a high possibility that there is a problem with the temperature control effect of the air conditioner. The greater the deviation, the greater the deviation between the air-conditioning set humidity and the actual indoor humidity. Therefore, there is a high possibility that there is a problem with the humidity control effect of the air-conditioning. The overall situation of the air-conditioning is judged by the ratio of the comprehensive temperature deviation amplitude and the humidity deviation amplitude. If the temperature change amplitude is larger and the humidity change amplitude is smaller or vice versa, it indicates that there is a problem with the air-conditioning control system. If the ratio is maintained within a certain range, it means that the air-conditioning system is normal. The purpose of accurately evaluating the status of the air-conditioning system is achieved through the above technical solution.

[0072] The process of obtaining the environmental status assessment coefficient is:

[0073] Pre-divide the data center into There are a group of environmental monitoring points in each environmental monitoring area to collect the temperature in each environmental monitoring area. ,humidity and suspended particle concentration ;

[0074] By formula:

[0075] Calculate the environmental status assessment coefficient ;

[0076] in, is the status assessment coefficient for each environmental monitoring area, is the preset weight coefficient, determined based on historical experimental data. , , It is a preset proportionality factor, determined based on historical and empirical data. , , are the number of monitoring points for temperature, humidity, and suspended particle concentration in each environmental monitoring area, For the monitoring points.

[0077] In this embodiment, a method for obtaining an environmental status assessment coefficient is provided. Specifically, , and then substitute Calculated in , , The values ​​of multiple monitoring points are averaged to reduce the data error caused by measurement error and improve the accuracy of the data. Then each data is compared with the corresponding reference value. Obviously, if , The larger the value, the more abnormal the temperature and humidity of the equipment in the environmental monitoring area are, and the greater the suspended particle concentration, the worse the control quality is. It should be noted that , They are temperature reference value and humidity reference value respectively, which are comprehensively formulated based on historical experimental data.

[0078] The process of judging whether the No. 1 warning information is true based on the analysis results is as follows:

[0079] Compare the state evaluation coefficient corresponding to the abnormal item with the preset evaluation threshold range;

[0080] If the state evaluation coefficient corresponding to the abnormal item exceeds the evaluation threshold range, the No. 1 warning information is judged to be true;

[0081] If the state evaluation coefficient corresponding to the abnormal item is within the evaluation threshold range, the deviation index is calculated based on the deviation between the change curve of the state evaluation coefficient corresponding to the abnormal item over time in a working cycle and the reference change curve, and the No. 1 warning information is re-judged based on the deviation index;

[0082] The process of obtaining the deviation index of the abnormal item is:

[0083] By formula: Calculate the deviation index corresponding to the abnormal item ;

[0084] The power supply status assessment coefficient, air conditioning status assessment coefficient, and environmental status assessment coefficient are marked as 1, 2, and 3 in sequence. , are the starting time point and the ending time point of a working cycle respectively; the process of making a secondary judgment on the No. 1 warning information according to the deviation index is:

[0085] The deviation index corresponding to the calculated abnormal item Deviation from preset threshold For comparison:

[0086] like ≥ , then the No. 1 warning information of the abnormal item is judged to be true;

[0087] like < , then the No. 1 warning information of the abnormal item is judged to be false.

[0088] If the state evaluation coefficient corresponding to the abnormal item is lower than the evaluation threshold range, the No. 1 warning information is judged to be false.

[0089] In this embodiment, a method for judging the No. 1 warning information is provided. Specifically, the state evaluation coefficient corresponding to the abnormal item is first compared with the preset evaluation threshold interval. If it exceeds, it is judged to be true. If it is within the evaluation threshold interval, further analysis is performed. Otherwise, it is judged to be false. The process of further analysis is: first, the state evaluation coefficient corresponding to the abnormal item is compared with the preset evaluation threshold interval. Calculate, obviously according to which one is the abnormal item, calculate the cumulative change to get the corresponding deviation index, and then calculate the deviation index corresponding to the abnormal item Deviation from preset threshold To compare if ≥ , then the No. 1 warning information of the abnormal item is judged to be true; if ＜ , then the No. 1 warning information of the abnormal item is judged to be false; through the above technical solution, multiple verifications of the No. 1 warning information are realized to achieve the purpose of accurately judging whether the No. 1 warning information is true or false, reducing false alarms and improving the accuracy of alarms.

[0090] The system also includes a communication module for establishing communication connections between the operation information collection module, the operation and maintenance information processing module, the operation and maintenance information analysis module, and the operation and maintenance alarm module.

[0091] It should be noted that the calculation formulas and various parameters involved in the calculations in the present invention have been dimensionally processed in advance, and the process of dimensionless processing is well known in the industry and will not be described here.

[0092] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A network information equipment operation and maintenance management system based on data analysis, characterized in that: include: Operation information collection module, including power equipment status information collection unit and data center environmental parameter collection unit; The power equipment status information unit is used to collect power supply status information and air conditioner status information; The data center environmental parameter collection unit is used to collect environmental parameter information in the data center; Operation and maintenance information processing module, including No. 1 analysis unit and No. 2 analysis unit; The first analysis unit is used to compare the collected power supply and air conditioner status information with the corresponding status warning thresholds, and to compare the environmental parameters with the corresponding parameter warning thresholds. If at least one comparison result is reached or exceeded, it indicates that the item is an abnormal item and generates a first warning information; The second analysis unit processes the information collected by the operation information collection module to obtain the power supply status evaluation coefficient, the air conditioning status evaluation coefficient and the environmental status evaluation coefficient, and then analyzes the historical changes of the abnormal items according to the first warning information, and determines whether the first warning information is true according to the analysis results; The operation and maintenance information analysis module sends out an alarm signal if the No. 1 alarm information is true, and does not send out an alarm signal if the No. 1 alarm information is false; The operation and maintenance alarm module receives alarm signals and triggers alarms to notify operation and maintenance managers; The process of obtaining the environmental status assessment coefficient is: Pre-divide the data center into There are a group of environmental monitoring points in each environmental monitoring area to collect the temperature in each environmental monitoring area. ,humidity and suspended particle concentration ; By formula: Calculate the environmental status assessment coefficient ; in, is the status assessment coefficient for each environmental monitoring area, is the preset weight coefficient, , , is the preset scale factor, , , are the number of monitoring points for temperature, humidity, and suspended particle concentration in each environmental monitoring area, For the monitoring points.

2. The network information equipment operation and maintenance management system based on data analysis according to claim 1 is characterized in that: The process of obtaining the power state evaluation coefficient is as follows: Get the input voltage of the power supply in real time , output voltage and input current , output current value; Take the current time as the end point and go back a preset period to get the starting point as the evaluation period. Randomly obtain sampling time points, and obtain the input voltage corresponding to each sampling time point , output voltage and input current , output current ; By formula: Calculate the power status assessment coefficient ; in, , is the reference coefficient.

3. The network information equipment operation and maintenance management system based on data analysis according to claim 2 is characterized in that: The process of obtaining the air conditioning state evaluation coefficient is as follows: Get the indoor temperature of the data center in real time , Indoor humidity value; At the current moment Get the starting point one preset period after the end point As the evaluation period, obtain the actual indoor temperature change curve over time during the evaluation period and air conditioning set temperature ; Get the curve of actual indoor humidity changing with time during the evaluation period and air conditioning set temperature ; By formula: Calculate the air conditioning status assessment coefficient ; in, For this evaluation period The number of During this evaluation period The number of .

4. The network information equipment operation and maintenance management system based on data analysis according to claim 1 is characterized in that: The process of judging whether the No. 1 warning information is true based on the analysis results is as follows: Compare the state evaluation coefficient corresponding to the abnormal item with the preset evaluation threshold range; If the state evaluation coefficient corresponding to the abnormal item exceeds the evaluation threshold range, the first warning information is judged to be true; If the state evaluation coefficient corresponding to the abnormal item is within the evaluation threshold range, the deviation index is calculated based on the deviation between the change curve of the state evaluation coefficient corresponding to the abnormal item over time in a working cycle and the reference change curve, and the No. 1 warning information is re-judged based on the deviation index; If the state evaluation coefficient corresponding to the abnormal item is lower than the evaluation threshold range, the No. 1 warning information is judged to be false.

5. The network information equipment operation and maintenance management system based on data analysis according to claim 4 is characterized in that: The process of obtaining the deviation index of the abnormal item is: By formula: Calculate the deviation index corresponding to the abnormal item ; The power supply status assessment coefficient, air conditioning status assessment coefficient, and environmental status assessment coefficient are marked as 1, 2, and 3 in sequence. , They are the starting time point and the ending time point of a working cycle respectively.

6. The network information equipment operation and maintenance management system based on data analysis according to claim 5 is characterized in that: The process of making a secondary judgment on the No. 1 warning information according to the deviation index is as follows: The deviation index corresponding to the calculated abnormal item Deviation from preset threshold For comparison: like ≥ , then the No. 1 warning information of the abnormal item is judged to be true; like < , then the No. 1 warning information of the abnormal item is judged to be false.

7. The network information equipment operation and maintenance management system based on data analysis according to claim 1 is characterized in that: The system also includes a communication module for establishing communication connections between the operation information collection module, the operation and maintenance information processing module, the operation and maintenance information analysis module, and the operation and maintenance alarm module.

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