Intelligent monitoring system for communication machine room equipment

Abstract

The invention discloses an intelligent monitoring system for communication machine room equipment, and relates to the technical field of machine room monitoring, and the system comprises a data collection module which is used for obtaining the operation signals of all electrical equipment in a communication machine room, and obtaining the operation parameters of all the electrical equipment according to all the operation signals; the data processing module is used for preprocessing the operation parameters of each electrical device; the data analysis module is used for respectively obtaining an early warning threshold value of each electrical device according to the preprocessed operation parameters of each electrical device; the monitoring and early warning module is used for respectively displaying the operation parameters of each electrical device in a time sequence, and is also used for generating an early warning instruction corresponding to each electrical device and performing early warning in a preset mode when the operation parameters of each electrical device exceed a corresponding early warning threshold value; the problems of incomplete monitoring coverage, scattered monitoring nodes, high dependence on manual analysis and judgment and the like at present are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of computer room monitoring, and more specifically, to an intelligent monitoring system for equipment in a communication computer room. Background Art

[0002] There are various load devices in the communication room, and various power supply forms are used, such as Figure 1 As shown in the figure, this is a typical communication room power system topology diagram; among them, air conditioning, lighting, and maintenance power supply require 380V / 220V AC power supply, communication equipment requires 48V high-frequency switching power supply, and servers and network equipment require 220V uninterruptible power supply (UPS).

[0003] To ensure the stable operation of the power supply system, its operating status needs to be monitored in real time. The current mainstream monitoring solution is to transmit the power supply monitoring information to the power environment monitoring platform through physical interfaces such as RS232 / 485 and communication protocols such as Modbus / CDT. The platform is responsible for monitoring signal analysis and display. Each power supply device is an independent monitoring node in the power environment monitoring platform, and there is no electrical connection between them. The main disadvantages are as follows:

[0004] 1. Incomplete monitoring coverage: Currently, only high-frequency switching power supplies, UPS power supplies and other equipment with built-in signal acquisition, monitoring and output functions can be monitored. A large number of AC distribution cabinets, DC distribution cabinets, battery packs and other equipment in the computer room do not have their own monitoring functions, and their operating status cannot be monitored;

[0005] 2. The monitoring nodes are scattered and lack integrity. Each power supply device in the power environment monitoring platform is an independent monitoring node. The electrical connection relationship between the power supply devices is not established, and the overall operation status of the system cannot be monitored.

[0006] 3. Highly dependent on manual analysis and judgment; due to the lack of global monitoring functions, operation status warning, fault analysis, fault location and other tasks require operation and maintenance personnel to analyze and judge based on the current status of the power supply system, and the monitoring system has no automatic analysis and warning capabilities. Summary of the invention

[0007] The purpose of the present invention is to provide an intelligent monitoring system for communication room equipment to solve the problems existing in the above-mentioned background technology.

[0008] The above technical objectives of the present invention are achieved through the following technical solutions:

[0009] In a first aspect, the present application provides a communication room equipment intelligent monitoring system, comprising:

[0010] The data acquisition module is used to obtain the operation signal of each electrical device in the communication room, and obtain the operation parameters of each electrical device according to each operation signal; the data acquisition module includes a data acquisition unit and a data conversion unit, the data acquisition unit is connected to each electrical device with operation signal output in the communication room, the data conversion unit is connected to each electrical device without operation signal output in the communication room, and converts the electrical parameters of each electrical device without operation signal output into the operation signal in the form of target signal, and the target signal form includes digital signal, analog signal and switch signal;

[0011] A data processing module is used to pre-process the operating parameters of each electrical device, including outlier smoothing or missing value amplification;

[0012] A data analysis module is used to obtain the early warning threshold of each electrical device according to the pre-processed operating parameters of each electrical device;

[0013] The monitoring and early warning module is used to display the operating parameters of each electrical device in a time sequence. It is also used to generate early warning instructions corresponding to each electrical device and issue early warnings in a preset manner when the operating parameters of each electrical device exceed the corresponding early warning threshold.

[0014] The beneficial effects of the present invention are as follows: in the present solution, the data acquisition module can obtain the operating signals of various electrical equipment with and without operating signal outputs. The acquisition of the operating signals of various electrical equipment without operating signal outputs can be achieved through a data conversion unit. The data conversion unit can be a sensor. For example, the voltage and current detection of the distribution cabinet can be achieved by connecting a sensor in the middle, so that the equipment without its own signal output is also monitored; the obtained operating parameters are then processed by the data processing module, including the elimination of abnormal values, the amplification of missing values, etc., so that the obtained operating parameters can be more complete and more valuable for reference, and provide strong support for subsequent analysis; the data analysis module uses the processed operating parameters to analyze the warning thresholds of various equipment. In this way, during the operation of various equipment in the computer room, when the various operating indicators exceed the set warning thresholds, the corresponding equipment is warned, thereby ultimately achieving monitoring of various equipment.

[0015] In this solution, the data acquisition module is set up to solve the problem that currently only high-frequency switching power supplies, UPS power supplies and other devices with built-in signal acquisition, monitoring and output functions can be monitored, thereby providing a monitoring solution for devices such as AC distribution cabinets, DC distribution cabinets, battery packs and other devices that have no monitoring function themselves; and establish an electrical connection relationship between each power supply device to achieve the effect of monitoring the overall operating status of the system; at the same time, the operating threshold of each device is analyzed according to the data analysis module, which is free from dependence on manual analysis and judgment, and the threshold obtained by analysis has more reference value, higher accuracy, and is more suitable for monitoring each device.

[0016] Based on the above technical solution, the present invention can also be improved as follows.

[0017] Furthermore, the above-mentioned outlier smoothing process is specifically as follows:

[0018] x(n,t)=w1x(n1,t)+w2x(n2,t);

[0019] In the formula, x(n,t) represents the operating parameters of each electrical equipment at time t on the nth day, w1x(n1,t) represents the operating parameters of each electrical equipment at time t on the n-1th day, and w2x(n2,t) represents the operating parameters of each electrical equipment at time t on the n+1th day.

[0020] The beneficial effect of adopting the above further scheme is: due to the influence of the environment or the acquisition system itself, there will be a part of the data that is significantly different from other data. These outliers will cause the noise value to be too large, which will have an adverse effect on the subsequent analysis process. This method comprehensively considers the characteristic indicators of the data near the outliers and reasonably smoothes the outliers.

[0021] Furthermore, the missing value expansion process is specifically as follows:

[0022] For each operating parameter of the electrical equipment, the operating parameter is divided into intervals according to preset time intervals, and abnormal values ​​that meet preset conditions in each preset time interval are discarded;

[0023] For the parameter sequence within each preset time interval after the outlier is discarded, at least one discarded value sequence is formed through the position of the discarded outlier in the parameter sequence, and the discarded value sequence includes a data sequence of a preset length before and after the discarded outlier;

[0024] For each discarded value sequence, according to the time interval of the discarded value sequence, multiple complete reference sequences in the same time interval are intercepted from the historical data of the electrical equipment;

[0025] For each discarded value sequence, the original parameter sequence is interpolated according to the discarded value sequence and the corresponding multiple reference sequences to obtain the preprocessed operating parameters.

[0026] The beneficial effect of adopting the above further scheme is that the missing data in the operating parameters are supplemented by historical data and the corresponding time and status data of the missing data. On the one hand, the missing data is supplemented, and on the other hand, the supplemented data is made more consistent with the actual equipment status.

[0027] Furthermore, the above interpolation processing is performed on the original parameter sequence according to the discarded value sequence and the corresponding multiple reference sequences, specifically:

[0028] Calculate multiple reference coefficients between the discarded value sequence and corresponding data sequences of preset lengths before and after the multiple reference sequences, and determine the reference sequence with the largest reference coefficient as the target sequence;

[0029] According to the position of the missing data in the discarded value sequence, the data at the same position is extracted from the target sequence as the reference parameter, and the interpolation parameter is obtained by using the reference parameter and the reference coefficient;

[0030] The interpolation parameters are placed in the original parameter sequence at the position where the outliers are discarded to obtain the preprocessed operating parameters.

[0031] The beneficial effect of adopting the above further scheme is: by using the reference coefficient to find a set of data sequences with the most reference value, and then performing corresponding calculations through this set of data sequences, the obtained difference data can be made more consistent with the actual operating status.

[0032] Furthermore, the above reference coefficient is specifically:

[0033]

[0034] In the formula, a(i,j) represents the reference coefficient between the discarded value sequence i and the reference sequence j, u ik represents the kth data in the discarded value sequence i, m represents the maximum number of data in the discarded value sequence i or reference sequence j, u ik Represents the kth data in the reference sequence j.

[0035] Furthermore, the above interpolation parameters are specifically:

[0036] B = C*a(i,j);

[0037] Where a(i,j) represents the reference coefficient between the discarded value sequence i and the target sequence j, C represents the reference parameter, and B represents the interpolation parameter.

[0038] Furthermore, the warning thresholds of the above-mentioned electrical equipment are determined in the following manner:

[0039] For each electrical device, obtaining an actual parameter sequence of the electrical device within a preset interval and a reference parameter sequence of the electrical device;

[0040] Perform difference processing on each data at the corresponding position in the actual parameter sequence and the reference parameter sequence to obtain the difference sequence between the actual parameter sequence and the reference parameter sequence;

[0041] Each difference in the difference sequence is divided into a corresponding preset difference range interval, and the number of difference values ​​in each preset difference range interval is obtained, and the preset difference range interval with the largest number of difference values ​​is determined as the target interval;

[0042] The mean of multiple differences within the target interval is calculated, and the upper and lower thresholds are calculated using the mean and the reference parameter sequence. The warning threshold includes the upper and lower thresholds.

[0043] The beneficial effect of adopting the above further scheme is: the current threshold setting is based on industry standards and experience reference thresholds, such as the two-level threshold of phase voltage is the result of a 20% fluctuation of the standard voltage 220V; but this empirical threshold can only be used as a reference value in many scenarios. For example, the actual power supply of a certain computer room is large, and the normal operating voltage is around 230V. At this time, if the empirical value is still used as the threshold, it is easy to cause false alarms and missed alarms; the warning threshold set in this way, the warning threshold of each device is determined according to the actual working environment on site, and is actually applied to more actual operating conditions to achieve effective warning function.

[0044] Furthermore, the determination of the above target range also includes:

[0045] If the proportion of the number of differences in the preset difference range interval with the largest number of differences is not less than the preset percentage, the preset difference range interval with the largest number of differences is determined as the target interval; if the proportion of the number of differences in the preset difference range interval with the largest number of differences is less than the preset percentage, the interval is divided again based on the preset difference range interval to obtain multiple first difference intervals, and the interval range of the first difference interval is larger than the interval range of the preset difference range interval;

[0046] The number of differences in each first difference interval is calculated until the proportion of the number of differences in the re-divided range interval is not less than a preset percentage, and the re-divided range interval is determined as the target interval.

[0047] The beneficial effect of adopting the above further solution is that the above threshold acquisition method can further improve the setting accuracy of the threshold.

[0048] Furthermore, the starting point of the above-mentioned preset interval is a preset time point before the current time point, the end point of the preset interval is the current time point, and the warning threshold of each electrical device is updated as the electrical device operates.

[0049] The beneficial effect of adopting the above further solution is: the threshold is dynamically adjusted according to the actual operation status of each device, which greatly improves the setting accuracy of the threshold and makes the monitoring of the device more efficient.

[0050] In a second aspect, the present application provides an application of an intelligent monitoring system for communication room equipment as described in any one of the first aspects in communication room monitoring.

[0051] Compared with the prior art, the present invention has at least the following beneficial effects:

[0052] In the present application, the data acquisition module can obtain the operating signals of various electrical equipment with and without operating signal outputs. The acquisition of operating signals of various electrical equipment without operating signal outputs can be achieved through a data conversion unit. The data conversion unit can be a sensor. For example, the voltage and current detection of the distribution cabinet can be achieved by connecting a sensor in the middle, so that monitoring is also achieved for devices that do not have their own signal outputs; the obtained operating parameters are then processed by the data processing module, including the elimination of abnormal values, the amplification of missing values, etc., so that the obtained operating parameters can be more complete and more valuable for reference, and provide strong support for subsequent analysis; the data analysis module uses the processed operating parameters to analyze the warning thresholds of various devices. In this way, during the operation of various equipment in the computer room, when the operating indicators exceed the set warning thresholds, the corresponding equipment will be warned, thereby ultimately achieving monitoring of various devices.

[0053] In the present application, the data acquisition module is set up to solve the problem that currently only high-frequency switching power supplies, UPS power supplies and other devices with built-in signal acquisition, monitoring and output functions can be monitored, thereby providing a monitoring solution for devices such as AC distribution cabinets, DC distribution cabinets, battery packs and other devices that have no monitoring function themselves; and establish an electrical connection relationship between each power supply device to achieve the effect of monitoring the overall operating status of the system; at the same time, the operating threshold of each device is analyzed according to the data analysis module, which is free from dependence on manual analysis and judgment, and the threshold obtained by analysis has more reference value, higher accuracy, and is more suitable for monitoring each device.

[0054] In this application, due to the influence of the environment or the acquisition system itself, there will be a part of the data that has obvious differences from other data. These outliers will cause the noise value to be too large, which will have an adverse effect on the subsequent analysis process. The smoothing method comprehensively considers the characteristic indicators of the data near the outliers and reasonably smoothes the outliers; for the missing data in the operating parameters, it is supplemented by historical data and the data of the corresponding time and status of the missing data. On the one hand, it realizes the supplement of missing data, and on the other hand, it makes the supplemented data more in line with the actual equipment status; by referring to the coefficient to find a set of data sequences with the most reference value, and then performing corresponding calculations through this set of data sequences, the obtained difference data can be made more in line with the actual operating status.

[0055] In this application, since the current threshold setting is based on industry standards and experience reference thresholds, such as the two-level threshold of the phase voltage is the result of a 20% fluctuation of the standard voltage 220V; but this empirical threshold can only be used as a reference value in many scenarios. For example, the actual power supply of a certain computer room is relatively large, and the normal operating voltage is around 230V. At this time, if the empirical value is still used as the threshold, it is easy to cause false alarms and missed alarms; the warning threshold set by the above method, the warning threshold of each device is determined according to the actual working environment on site, and is actually applied to more actual operating conditions to achieve effective warning function; at the same time, the threshold is dynamically adjusted according to the actual operating conditions of each device, which greatly improves the setting accuracy of the threshold and makes the monitoring of the equipment more efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0057] Figure 1 A topological diagram of a typical power supply system of a communication room in an embodiment of the present invention;

[0058] Figure 2 A connection diagram of a monitoring system in an embodiment of the present invention;

[0059] Figure 3 The figure is a schematic diagram of the intelligent monitoring system for power supply in a communication room in an embodiment of the present invention. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0061] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. 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.

[0062] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0063] In the description of the embodiments of the present invention, "plurality" means at least 2.

[0064] In the description of the embodiments of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0065] Embodiment 1:

[0066] In order to solve the current problems of incomplete monitoring coverage, scattered monitoring nodes and high reliance on manual analysis and judgment, this embodiment provides an intelligent monitoring system for communication room equipment, such as Figure 2 As shown, including:

[0067] The data acquisition module is used to obtain the operating signals of various electrical equipment in the communication room, and obtain the operating parameters of various electrical equipment according to various operating signals; the data acquisition module includes a data acquisition unit and a data conversion unit, the data acquisition unit is connected to various electrical equipment with operating signal output in the communication room, the data conversion unit is connected to various electrical equipment without operating signal output in the communication room, and converts the electrical parameters of various electrical equipment without operating signal output into operating signals in the form of target signals, and the target signal forms include digital signals, analog signals and switch signals.

[0068] Among them, the data acquisition module can obtain the operation signals of various electrical devices with and without operation signal outputs. The acquisition of the operation signals of various electrical devices without operation signal outputs can be achieved through the data conversion unit. The data conversion unit can be a sensor. For example, the voltage and current detection of the distribution cabinet can be achieved by connecting a sensor in the middle, so that the monitoring of the equipment without its own signal output is also realized; Figure 3 As shown, Figure 3 This is the schematic diagram of the power supply intelligent monitoring system. Figure 3 In the data acquisition module, the data conversion unit is composed of a variety of sensors, battery monitoring modules, switch quantity acquisition modules, analog quantity acquisition modules, etc.

[0069] Furthermore, the above monitoring system may also include a data processing module, such as Figure 2 As shown, the data processing module is used to pre-process the operating parameters of each electrical device respectively, and the pre-processing includes abnormal value smoothing processing or missing value amplification processing.

[0070] Optionally, the above-mentioned outlier smoothing process is specifically as follows:

[0071] x(n,t)=w1x(n1,t)+w2x(n2,t);

[0072] In the formula, x(n,t) represents the operating parameters of each electrical equipment at time t on the nth day, w1x(n1,t) represents the operating parameters of each electrical equipment at time t on the n-1th day, and w2x(n2,t) represents the operating parameters of each electrical equipment at time t on the n+1th day.

[0073] Among them, due to the influence of the environment or the acquisition system itself, there will be some data that are significantly different from other data. These outliers will cause the noise value to be too large, which will have an adverse effect on the subsequent analysis process. This method comprehensively considers the characteristic indicators of the data near the outliers and reasonably smoothes the outliers.

[0074] Optionally, the missing value expansion process is specifically as follows:

[0075] S11, for each electrical device, the operating parameter is divided into intervals according to preset time intervals, and abnormal values ​​that meet preset conditions in each preset time interval are discarded.

[0076] S12, for the parameter sequence in each preset time interval after the outliers are discarded, at least one discarded value sequence is formed through the positions of the discarded outliers in the parameter sequence, and the discarded value sequence includes data sequences of preset length before and after the discarded outliers.

[0077] S13, for each discarded value sequence, according to the time interval of the discarded value sequence, extract multiple complete reference sequences in the same time interval from the historical data of the electrical equipment.

[0078] S14, for each discarded value sequence, interpolation processing is performed on the original parameter sequence according to the discarded value sequence and the corresponding multiple reference sequences to obtain pre-processed operating parameters.

[0079] Among them, the missing data in the operating parameters are supplemented by historical data and the corresponding time and status data of the missing data. On the one hand, the missing data is supplemented, and on the other hand, the supplemented data is made more consistent with the actual equipment status.

[0080] Optionally, the above interpolation processing is performed on the original parameter sequence according to the discarded value sequence and the corresponding multiple reference sequences, specifically:

[0081] S141, calculating multiple reference coefficients between the discarded value sequence and corresponding data sequences of preset lengths before and after the multiple reference sequences, and determining the reference sequence with the largest reference coefficient as the target sequence.

[0082] Optionally, the above reference coefficient is specifically:

[0083]

[0084] In the formula, a(i,j) represents the reference coefficient between the discarded value sequence i and the reference sequence j, u ik represents the kth data in the discarded value sequence i, m represents the maximum number of data in the discarded value sequence i or reference sequence j, u ik Represents the kth data in the reference sequence j.

[0085] S142, according to the position of the missing data in the discarded value sequence, extract the data at the same position from the target sequence as reference parameters, and obtain the interpolation parameters using the reference parameters and reference coefficients.

[0086] Optionally, the above interpolation parameters are specifically:

[0087] B = C*a(i,j);

[0088] Where a(i,j) represents the reference coefficient between the discarded value sequence i and the target sequence j, C represents the reference parameter, and B represents the interpolation parameter.

[0089] S143, placing the interpolation parameters into the positions where the abnormal values ​​are discarded in the original parameter sequence, to obtain the preprocessed operating parameters.

[0090] Furthermore, the above monitoring system may also include a data analysis module, such as Figure 2 As shown, the data analysis module is used to obtain the early warning threshold of each electrical device according to the pre-processed operating parameters of each electrical device.

[0091] Among them, the current threshold setting is based on industry standards and experience reference thresholds. For example, the two-level threshold of the phase voltage is the result of a 20% fluctuation of the standard voltage 220V. However, this empirical threshold can only be used as a reference value in many scenarios. For example, the actual power supply of a certain computer room is relatively large, and the normal operating voltage is around 230V. At this time, if the empirical value is still used as the threshold, false alarms and missed alarms are likely to occur. The warning threshold set in this way, the warning threshold of each device is determined according to the actual working environment on site, and is actually applied to more actual operating conditions to achieve effective warning functions.

[0092] Optionally, the warning threshold of each of the above electrical equipment is determined by:

[0093] S21, for each electrical device, obtaining an actual parameter sequence of the electrical device within a preset interval and a reference parameter sequence of the electrical device.

[0094] S22, performing difference processing on each data at the corresponding position in the actual parameter sequence and the reference parameter sequence to obtain a difference sequence between the actual parameter sequence and the reference parameter sequence.

[0095] S23, classifying each difference in the difference sequence into a corresponding preset difference range interval, obtaining the number of differences in each preset difference range interval, and determining the preset difference range interval with the largest number of differences as the target interval.

[0096] Optionally, the determination of the above target interval also includes:

[0097] S231, if the proportion of the number of differences in the preset difference range interval with the largest number of differences is not less than the preset percentage, the preset difference range interval with the largest number of differences is determined as the target interval; if the proportion of the number of differences in the preset difference range interval with the largest number of differences is less than the preset percentage, the interval is divided again based on the preset difference range interval to obtain multiple first difference intervals, and the interval range of the first difference interval is larger than the interval range of the preset difference range interval.

[0098] S232, calculating the number of differences in each first difference interval until the proportion of the number of differences in the re-divided range interval is not less than a preset percentage, and determining the re-divided range interval as a target interval; wherein this target interval acquisition method can further improve the setting accuracy of the threshold.

[0099] S24, calculate the mean of multiple differences within the target interval, and use the mean and the reference parameter sequence to calculate the upper and lower thresholds, and the warning threshold includes the upper and lower thresholds; wherein, after obtaining the mean of multiple differences, the reference parameters are added and subtracted from the mean, so as to obtain the upper and lower thresholds.

[0100] Furthermore, the above monitoring system may also include a monitoring and early warning module, such as Figure 2 As shown, the monitoring and early warning module is used to display the operating parameters of each electrical device separately in time sequence, and is also used to generate early warning instructions corresponding to each electrical device and issue an early warning in a preset manner when the operating parameters of each electrical device exceed the corresponding early warning threshold.

[0101] Optionally, the starting point of the above-mentioned preset interval is a preset time point before the current time point, the end point of the preset interval is the current time point, and the warning threshold of each electrical equipment is updated as the electrical equipment operates.

[0102] Among them, the threshold is dynamically adjusted according to the actual operation status of each device, which greatly improves the accuracy of threshold setting and makes the monitoring of the equipment more efficient.

[0103] Embodiment 2:

[0104] An embodiment of the present application provides an application of an intelligent monitoring system for communication room equipment as described in any one of Embodiment 1 in communication room monitoring.

[0105] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent monitoring system for communication room equipment, characterized in that: include: A data acquisition module is used to obtain the operation signal of each electrical device in the communication room, and obtain the operation parameters of each electrical device according to each operation signal; the data acquisition module includes a data acquisition unit and a data conversion unit, the data acquisition unit is connected to each electrical device with an operation signal output in the communication room, the data conversion unit is connected to each electrical device without an operation signal output in the communication room, and converts the electrical parameters of each electrical device without an operation signal output into an operation signal in the form of a target signal, and the target signal form includes a digital signal, an analog signal and a switch signal; A data processing module, used to pre-process the operating parameters of each electrical device, wherein the pre-processing includes an abnormal value smoothing process or a missing value amplification process; A data analysis module is used to obtain the early warning threshold of each electrical device according to the pre-processed operating parameters of each electrical device; The monitoring and early warning module is used to display the operating parameters of each electrical device in a time sequence, and is also used to generate early warning instructions corresponding to each electrical device and issue an early warning in a preset manner when the operating parameters of each electrical device exceed the corresponding early warning threshold.

2. According to claim 1, a communication room equipment intelligent monitoring system is characterized in that: The outlier smoothing process is specifically as follows: x(n,t)=w1x(n1,t)+w2x(n2,t); In the formula, x(n,t) represents the operating parameters of each electrical equipment at time t on the nth day, w1x(n1,t) represents the operating parameters of each electrical equipment at time t on the n-1th day, and w2x(n2,t) represents the operating parameters of each electrical equipment at time t on the n+1th day.

3. According to claim 1, a communication room equipment intelligent monitoring system is characterized in that: The missing value expansion process is specifically as follows: For each operating parameter of the electrical equipment, the operating parameter is divided into intervals according to preset time intervals, and abnormal values ​​that meet preset conditions in each preset time interval are discarded; For the parameter sequence in each preset time interval after the outlier is discarded, at least one discarded value sequence is formed through the position of the discarded outlier in the parameter sequence, wherein the discarded value sequence includes a data sequence of a preset length before and after the discarded outlier; For each discarded value sequence, according to the time interval of the discarded value sequence, multiple complete reference sequences in the same time interval are intercepted from the historical data of the electrical equipment; For each discarded value sequence, an interpolation process is performed on the original parameter sequence according to the discarded value sequence and the corresponding multiple reference sequences to obtain preprocessed operating parameters.

4. A communication room equipment intelligent monitoring system according to claim 3, characterized in that: The interpolation process is performed on the original parameter sequence according to the discarded value sequence and the corresponding multiple reference sequences, specifically: Calculate multiple reference coefficients between the discarded value sequence and corresponding data sequences of preset lengths before and after the multiple reference sequences, and determine the reference sequence with the largest reference coefficient as the target sequence; According to the position of the missing data in the discarded value sequence, extract the data at the same position from the target sequence as a reference parameter, and obtain the interpolation parameter using the reference parameter and the reference coefficient; The interpolation parameters are placed in the original parameter sequence at the position where the abnormal values ​​are discarded, to obtain the preprocessed operating parameters.

5. The intelligent monitoring system for communication room equipment according to claim 4 is characterized in that: The reference coefficient is specifically: In the formula, a(i,j) represents the reference coefficient between the discarded value sequence i and the reference sequence j, u ik represents the kth data in the discarded value sequence i, m represents the maximum number of data in the discarded value sequence i or reference sequence j, u ik Represents the kth data in the reference sequence j.

6. A communication room equipment intelligent monitoring system according to claim 5, characterized in that: The interpolation parameters are specifically: B = C*a(i,j); Where a(i,j) represents the reference coefficient between the discarded value sequence i and the target sequence j, C represents the reference parameter, and B represents the interpolation parameter.

7. The intelligent monitoring system for communication room equipment according to claim 1 is characterized in that: The warning threshold of each electrical device is determined in the following way: For each electrical device, obtaining an actual parameter sequence of the electrical device within a preset interval and a reference parameter sequence of the electrical device; Perform difference processing on each data at the corresponding position in the actual parameter sequence and the reference parameter sequence to obtain the difference sequence between the actual parameter sequence and the reference parameter sequence; Classifying each difference in the difference sequence into a corresponding preset difference range interval, obtaining the number of differences in each preset difference range interval, and determining the preset difference range interval with the largest number of differences as the target interval; The mean of multiple differences within the target interval is calculated, and the upper threshold and the lower threshold are calculated using the mean and the reference parameter sequence, and the warning threshold includes the upper threshold and the lower threshold.

8. The intelligent monitoring system for communication room equipment according to claim 7 is characterized in that: Determination of the target interval also includes: If the proportion of the number of differences in the preset difference range interval with the largest number of differences is not less than the preset percentage, the preset difference range interval with the largest number of differences is determined as the target interval; if the proportion of the number of differences in the preset difference range interval with the largest number of differences is less than the preset percentage, the interval is divided again based on the preset difference range interval to obtain multiple first difference intervals, and the interval range of the first difference interval is larger than the interval range of the preset difference range interval; The number of differences in each of the first difference intervals is calculated until the number of differences in the re-divided range interval accounts for no less than a preset percentage, and the re-divided range interval is determined as a target interval.

9. The intelligent monitoring system for communication room equipment according to claim 7, characterized in that: The starting point of the preset interval is a preset time point before the current time point, the end point of the preset interval is the current time point, and the warning threshold of each electrical device is updated as the electrical device operates.

10. Application of the intelligent monitoring system for communication room equipment according to any one of claims 1 to 9 in monitoring a communication room.

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