Modular communication cabinet fault detection and diagnosis system based on Internet of Things

Abstract

The invention relates to the technical field of communication cabinet fault diagnosis, in particular to a modularized communication cabinet fault detection and diagnosis system based on the Internet of Things, which comprises a fault detection and diagnosis platform, an information acquisition unit, a performance supervision unit, a state evaluation unit, a feature extraction unit, a coordinate positioning unit and a management display unit, according to the invention, analysis is carried out from the two points of the working state and the performance characteristics of the target communication cabinet to know whether the target communication cabinet has a fault or not, so that the operation stability and the management efficiency of the target communication cabinet are improved, and fault positioning, supervision, evaluation and analysis are carried out deeply, thereby improving the working efficiency of the communication cabinet. On one hand, whether the fault of the target communication cabinet is caused by the fault of the electrical element can be known, on the other hand, the electrical element causing the fault of the target communication cabinet can be positioned, so that reasonable and targeted management can be realized, and on the other hand, the maintenance efficiency of the target communication cabinet can be improved and the maintenance time can be shortened.

Description

Technical Field

[0001] The present invention relates to the technical field of communication cabinet fault diagnosis, and in particular to a modular communication cabinet fault detection and diagnosis system based on the Internet of Things. Background Art

[0002] Communication equipment is an indispensable and important facility in our life and work. If it encounters a fault, it will cause great trouble to our life and work. Various faults may occur in the operation of communication equipment, affecting the operation of the system, and sometimes even having destructive consequences. Therefore, it is very important for us to understand the classification of communication equipment faults and the corresponding maintenance methods to solve the fault problems. However, in the existing fault diagnosis technology, the detection and diagnosis methods of communication cabinets are one-sided and inaccurate, and it is difficult to use real-time monitoring methods to supervise and warn the fault status of the communication cabinet, and it is impossible to ensure the stable operation of the communication cabinet, and it is impossible to accurately locate the fault point of the communication cabinet, thereby reducing the maintenance efficiency of the communication cabinet, and it is not conducive to reasonable and targeted management according to the fault characteristics of the communication cabinet; In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to provide a modular communication cabinet fault detection and diagnosis system based on the Internet of Things to solve the above-mentioned technical defects. The present invention analyzes the working status and performance characteristics of the target communication cabinet to understand whether the target communication cabinet has a fault, so as to manage and adjust the target communication cabinet according to the information feedback to reduce the operating damage of the target communication cabinet, and at the same time help to improve the operating stability and management efficiency of the target communication cabinet, and perform feature extraction, evaluation and feedback operations through information feedback to understand the abnormal characteristics of the target communication cabinet, so as to reasonably and targetedly manage the target communication cabinet, so as to improve the management efficiency of the target communication cabinet, and in-depth fault location supervision and evaluation analysis of basic operating data, on the one hand, it helps to understand whether the target communication cabinet failure is caused by an electrical component failure, and on the other hand, it helps to locate the electrical component that causes the target communication cabinet failure, thereby helping to improve the maintenance efficiency of the target communication cabinet and shorten the maintenance time.

[0004] The object of the present invention can be achieved by the following technical solutions: a modular communication cabinet fault detection and diagnosis system based on the Internet of Things, including a fault detection and diagnosis platform, an information collection unit, a performance supervision unit, a state evaluation unit, a feature extraction unit, a coordinate positioning unit and a management display unit; The information collection unit is used to collect the performance characteristic data and working status data of the target communication cabinet, and send the performance characteristic data and the working status data to the performance supervision unit and the status evaluation unit respectively. After receiving the working status data, the status evaluation unit immediately performs operation fault supervision evaluation analysis on the working status data, compares and analyzes the obtained fault evaluation index, and sends the obtained alarm signal to the management display unit; After receiving the performance feature data, the performance supervision unit immediately performs performance feature matching verification detection and analysis on the performance feature data to obtain normal signals and abnormal signals; The feature extraction unit is used to respond to the abnormal signal and perform feature extraction evaluation feedback operation on the performance feature data, and send the obtained continuous signal and intermittent signal to the management display unit; The coordinate positioning unit is used to respond to alarm signals and abnormal signals, collect basic operating data of electrical components, and perform fault location supervision, evaluation and analysis on the basic operating data to obtain the spatial coordinates corresponding to the faulty components.

[0005] Preferably, the operation fault supervision evaluation and analysis process of the state evaluation unit is as follows: The working period of the modular communication cabinet is collected and set as the time threshold, the modular communication cabinet is set as the target communication cabinet, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, and the working data of the target communication cabinet in each sub-time period is obtained. The working data includes an energy consumption index and a data processing coefficient. The energy consumption index and the data processing coefficient are compared and analyzed with the preset energy consumption index threshold and the preset data processing coefficient threshold that are entered and stored internally: If the energy consumption index is less than the preset energy consumption index threshold, and the data processing coefficient is less than the preset data processing coefficient threshold, the corresponding sub-time period is determined to be a stable period; If the energy consumption index is greater than or equal to a preset energy consumption index threshold, or the data processing coefficient is greater than or equal to a preset data processing coefficient threshold, the corresponding sub-time period is determined to be a risk period.

[0006] Preferably, the ratio between the number corresponding to the risk period and the number corresponding to the stable period is obtained, and the ratio between the number corresponding to the risk period and the number corresponding to the stable period is set as the fault assessment index, and the fault assessment index is compared and analyzed with the preset fault assessment index threshold value recorded and stored internally: If the ratio between the fault assessment index and the preset fault assessment index threshold is less than 1, no signal is generated; If the ratio between the fault assessment index and the preset fault assessment index threshold is greater than or equal to 1, an alarm signal is generated; Among them, the energy consumption index represents the product of the part of the total energy consumption value of the target communication cabinet in the sub-time period that exceeds the preset total energy consumption value and the duration corresponding to the power consumption rate being greater than the preset power consumption rate threshold after data normalization processing; the data processing coefficient represents the product of the part of the bit error rate of the target communication cabinet in the sub-time period that exceeds the preset bit error rate threshold and the part of the total data processing volume being lower than the preset data processing total volume threshold after data normalization processing.

[0007] Preferably, the performance feature matching verification detection and analysis process of the performance supervision unit is as follows: S1: Obtain performance characteristic data of the historical normal operation of the target communication cabinet within the time threshold, including an amplitude waveform, an operating temperature waveform, and a decibel waveform, and then construct a standard performance characteristic list; S2: Obtain the performance characteristic data of the target communication cabinet within the time threshold, compare the amplitude waveform, operating temperature waveform and decibel waveform with the standard performance characteristic list one by one, obtain the similarity between the amplitude waveform, operating temperature waveform and decibel waveform and the standard performance characteristic list, and set the similarity between the amplitude waveform, operating temperature waveform and decibel waveform and the standard performance characteristic list as amplitude similarity value, temperature similarity value and decibel similarity value respectively, and compare the amplitude similarity value, temperature similarity value and decibel similarity value with the preset amplitude similarity value threshold, preset temperature similarity value threshold and preset decibel similarity value threshold recorded and stored internally one by one for analysis: If the amplitude similarity value, the temperature similarity value and the decibel similarity value are all greater than or equal to the preset amplitude similarity value threshold, the preset temperature similarity value threshold and the preset decibel similarity value threshold, then the sub-time period is determined to be a normal signal; If the amplitude similarity value, the temperature similarity value and the decibel similarity value are not all greater than or equal to the preset amplitude similarity value threshold, the preset temperature similarity value threshold and the preset decibel similarity value threshold, the sub-time period is determined to be an abnormal signal.

[0008] Preferably, the feature extraction evaluation feedback operation process of the feature extraction unit is as follows: The time periods where the amplitude waveform, operating temperature waveform and decibel waveform are different from the standard performance characteristic list are obtained and set as the difference period, the number corresponding to the difference period is obtained, and the number corresponding to the difference period is set as the difference characteristic value, and the difference characteristic value is compared and analyzed with the preset difference characteristic value threshold value stored in the internal entry: If the difference characteristic value is less than or equal to the preset difference characteristic value threshold, the target communication cabinet is determined to be a persistent abnormal fault; If the difference characteristic value is greater than the preset difference characteristic value threshold, a feedback instruction is generated. When the feedback instruction is generated, the number of times the interval duration of the difference characteristic value is smaller than the preset interval duration threshold is obtained, and the number of times the interval duration of the difference characteristic value is smaller than the preset interval duration threshold is set as the difference interval index, and the difference interval index is compared and analyzed with the internally entered and stored and the preset difference interval index threshold: If the difference interval index is greater than the preset difference interval index threshold, the target communication cabinet is determined to be a continuous abnormal fault, and a continuous signal is generated; If the difference interval index is less than or equal to the preset difference interval index threshold, the target communication cabinet is determined to be an intermittent abnormal fault, and an intermittent signal is generated.

[0009] Preferably, the fault location supervision evaluation and analysis process of the coordinate positioning unit is as follows: The basic operating data of each electrical component in the target communication cabinet within the time threshold is obtained. The basic operating data includes the actual operating energy consumption and the actual operating temperature. The number of deviations from the standard threshold corresponding to the values ​​of the basic operating data is obtained, and the number of deviations from the standard threshold corresponding to the values ​​of the basic operating data is set as the deviation information index. The deviation information index is compared and analyzed with the preset deviation information index threshold stored in the internal data entry: If the deviation information index is less than or equal to the preset deviation information index threshold, no signal is generated; If the deviation information index is greater than the preset deviation information index threshold, a positioning instruction is generated. When the positioning instruction is generated, the electrical component corresponding to the positioning instruction is obtained, and the electrical component corresponding to the positioning instruction is set as the faulty component. The long side of the target communication cabinet that is in contact with the ground is set as the X-axis, the wide side is set as the Y-axis, and the side perpendicular to the corner point of the X-axis and the Y-axis is set as the Z-axis, thereby obtaining the spatial coordinate system of the target communication cabinet, and obtaining the spatial coordinates corresponding to the faulty component from the spatial coordinate system.

[0010] The beneficial effects of the present invention are as follows: (1) The present invention analyzes the working status and performance characteristics of the target communication cabinet to understand whether the target communication cabinet has a fault, so as to manage and adjust the target communication cabinet according to the information feedback to reduce the operating damage of the target communication cabinet, and at the same time help to improve the operating stability and management efficiency of the target communication cabinet, that is, to perform operation fault supervision evaluation and analysis on the working status data to provide timely feedback and early warning management, and to perform performance feature matching verification and detection analysis on the performance feature data, and then judge whether the target communication cabinet has a fault, so as to reasonably manage the target communication cabinet and reduce the failure risk rate of the target communication cabinet; (2) The present invention performs feature extraction, evaluation and feedback operations by means of information feedback to understand the abnormal characteristics of the target communication cabinet, so as to manage the target communication cabinet in a reasonable and targeted manner, so as to improve the management efficiency of the target communication cabinet, and to conduct in-depth fault location supervision, evaluation and analysis on basic operating data. On the one hand, it helps to understand whether the failure of the target communication cabinet is caused by the failure of an electrical component, and on the other hand, it helps to locate the electrical component that causes the failure of the target communication cabinet, thereby helping to improve the maintenance efficiency of the target communication cabinet and shorten the maintenance time. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The present invention will be further described below in conjunction with the accompanying drawings; Figure 1 It is a flowchart of the system of the present invention; Figure 2 This is a local analysis diagram of Example 1 of the present invention. DETAILED DESCRIPTION

[0012] 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. Embodiment 1:

[0013] See also Figure 1 to Figure 2 As shown, the present invention is a modular communication cabinet fault detection and diagnosis system based on the Internet of Things, including a fault detection and diagnosis platform, an information collection unit, a performance supervision unit, a state evaluation unit, a feature extraction unit, a coordinate positioning unit and a management display unit, the fault detection and diagnosis platform is connected to the information collection unit in a one-way communication, the information collection unit is connected to the state evaluation unit in a one-way communication, the information collection unit is connected to the performance supervision unit in a two-way communication, the state evaluation unit is connected to the feature extraction unit and the management display unit in a one-way communication, the state evaluation unit is connected to the coordinate positioning unit in a two-way communication, the performance supervision unit is connected to the coordinate positioning unit in a one-way communication, and the feature extraction unit is connected to the management display unit in a one-way communication; When the fault detection and diagnosis platform monitors the operation of any modular communication cabinet, a supervision instruction is generated and sent to the information collection unit. After receiving the supervision instruction, the information collection unit immediately collects the performance characteristic data and working status data of the modular communication cabinet, and sends the performance characteristic data and working status data to the performance supervision unit and the status evaluation unit respectively. After receiving the working status data, the status evaluation unit immediately performs operation fault supervision evaluation and analysis on the working status data to understand whether the target communication cabinet has a fault, so as to provide timely feedback and early warning management to reduce the operation damage of the target communication cabinet, and at the same time help improve the operation stability and management efficiency of the target communication cabinet. The specific operation fault supervision evaluation and analysis process is as follows: The working period of the modular communication cabinet is collected and set as the time threshold, the modular communication cabinet is set as the target communication cabinet, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, and the working data of the target communication cabinet in each sub-time period is obtained. The working data includes an energy consumption index and a data processing coefficient. The energy consumption index and the data processing coefficient are compared and analyzed with the preset energy consumption index threshold and the preset data processing coefficient threshold that are entered and stored internally: If the energy consumption index is less than the preset energy consumption index threshold, and the data processing coefficient is less than the preset data processing coefficient threshold, the corresponding sub-time period is determined to be a stable period; If the energy consumption index is greater than or equal to the preset energy consumption index threshold, or the data processing coefficient is greater than or equal to the preset data processing coefficient threshold, the corresponding sub-time period is determined to be a risk period, and the ratio between the number corresponding to the risk period and the number corresponding to the stable period is obtained, and the ratio between the number corresponding to the risk period and the number corresponding to the stable period is set as the fault assessment index, and the fault assessment index is compared and analyzed with the preset fault assessment index threshold stored in the internal input: If the ratio between the fault assessment index and the preset fault assessment index threshold is less than 1, no signal is generated; If the ratio between the fault assessment index and the preset fault assessment index threshold is greater than or equal to 1, an alarm signal is generated and sent to the management display unit. After receiving the alarm signal, the management display unit immediately displays the preset warning text corresponding to the alarm signal, so as to manage and adjust the target communication cabinet according to the information feedback, so as to reduce the operation damage of the target communication cabinet, and at the same time help to improve the operation stability and management efficiency of the target communication cabinet; In the embodiment of the present invention, the target communication cabinet has a rectangular shape; In the embodiment of the present invention, the energy consumption index represents the product value obtained by multiplying the portion of the total energy consumption value of the target communication cabinet in the sub-time period that exceeds the preset total energy consumption value and the duration corresponding to the power consumption rate being greater than the preset power consumption rate threshold after data normalization. It should be noted that the analysis is performed from the perspective of the energy consumption of the target communication cabinet to understand whether the target communication cabinet has a fault; In the embodiment of the present invention, the data processing coefficient represents the product value obtained by multiplying the part of the bit error rate of the target communication cabinet in the sub-time period that exceeds the preset bit error rate threshold and the part of the total data processing that is lower than the preset total data processing threshold after data normalization processing. It should be noted that the analysis is performed from the perspective of data processing of the target communication cabinet to understand whether the target communication cabinet has a fault; After receiving the performance feature data, the performance supervision unit immediately performs a performance feature matching verification detection analysis on the performance feature data, so as to analyze it from the perspective of the operation performance features of the target communication cabinet, so as to understand the difference between the actual operation performance features of the target communication cabinet and the standard operation performance features, and then judge whether the target communication cabinet has a fault, so as to reasonably manage the target communication cabinet. The specific performance feature matching verification detection analysis process is as follows: Obtain performance characteristic data of the historical normal operation of the target communication cabinet within the time threshold. The performance characteristic data includes an amplitude waveform, an operating temperature waveform, and a decibel waveform, and then construct a standard performance characteristic list; Obtain the performance characteristic data of the target communication cabinet within the time threshold, compare the amplitude waveform, operating temperature waveform and decibel waveform with the standard performance characteristic list one by one, obtain the similarity between the amplitude waveform, operating temperature waveform and decibel waveform and the standard performance characteristic list, and set the similarity between the amplitude waveform, operating temperature waveform and decibel waveform and the standard performance characteristic list as amplitude similarity value, temperature similarity value and decibel similarity value respectively, and compare the amplitude similarity value, temperature similarity value and decibel similarity value with the preset amplitude similarity value threshold, preset temperature similarity value threshold and preset decibel similarity value threshold recorded and stored internally one by one for analysis: If the amplitude similarity value, the temperature similarity value and the decibel similarity value are all greater than or equal to the preset amplitude similarity value threshold, the preset temperature similarity value threshold and the preset decibel similarity value threshold, then the sub-time period is determined to be a normal signal; If the amplitude similarity value, temperature similarity value and decibel similarity value are not all greater than or equal to the preset amplitude similarity value threshold, the preset temperature similarity value threshold and the preset decibel similarity value threshold, the sub-time period is determined to be an abnormal signal, and the normal signal and the abnormal signal are sent to the management display unit via the information collection unit. After receiving the normal signal and the abnormal signal, the management display unit immediately displays the preset warning text corresponding to the normal signal and the abnormal signal, so as to manage and adjust the target communication cabinet according to the information feedback to reduce the abnormal risk rate of the target communication cabinet. Embodiment 2:

[0014] When an abnormal signal is generated, the feature extraction unit is used to respond to the abnormal signal and perform feature extraction, evaluation and feedback operations on the performance feature data to understand the abnormal characteristics of the target communication cabinet, so as to manage it reasonably and in a targeted manner, so as to improve the management efficiency of the target communication cabinet and ensure the operation stability of the target communication cabinet. The specific feature extraction, evaluation and feedback operation process is as follows: The time periods where the amplitude waveform, operating temperature waveform and decibel waveform are different from the standard performance characteristic list are obtained and set as the difference period, the number corresponding to the difference period is obtained, and the number corresponding to the difference period is set as the difference characteristic value, and the difference characteristic value is compared and analyzed with the preset difference characteristic value threshold value stored in the internal entry: If the difference characteristic value is less than or equal to the preset difference characteristic value threshold, the target communication cabinet is determined to be a persistent abnormal fault; If the difference characteristic value is greater than the preset difference characteristic value threshold, a feedback instruction is generated. When the feedback instruction is generated, the number of times the interval duration of the difference characteristic value is smaller than the preset interval duration threshold is obtained, and the number of times the interval duration of the difference characteristic value is smaller than the preset interval duration threshold is set as the difference interval index, and the difference interval index is compared and analyzed with the internally entered and stored and the preset difference interval index threshold: If the difference interval index is greater than the preset difference interval index threshold, the target communication cabinet is determined to be a continuous abnormal fault, and a continuous signal is generated; If the difference interval index is less than or equal to the preset difference interval index threshold, the target communication cabinet is determined to be an intermittent abnormal fault, an intermittent signal is generated, and the continuous signal and the intermittent signal are sent to the management display unit. After receiving the continuous signal and the intermittent signal, the management display unit immediately displays the preset warning text corresponding to the continuous signal and the intermittent signal, which helps the operation and management personnel to manage the target communication cabinet reasonably and in a targeted manner according to different feedback information, so as to improve the management efficiency of the target communication cabinet and ensure the operation safety and stability of the target communication cabinet; When alarm signals and abnormal signals are generated, the coordinate positioning unit is used to respond to the alarm signals and abnormal signals, collect basic operating data of electrical components, and perform fault location supervision evaluation and analysis on the basic operating data. On the one hand, it helps to understand whether the target communication cabinet failure is caused by electrical component failure, and on the other hand, it helps to locate the electrical component that causes the target communication cabinet failure, thereby helping to achieve the effect of precise maintenance. The specific fault location supervision evaluation and analysis process is as follows: The basic operating data of each electrical component in the target communication cabinet within the time threshold is obtained. The basic operating data includes actual operating energy consumption, actual operating temperature, etc. The number of deviations of the values ​​corresponding to the basic operating data from the standard threshold is obtained, and the number of deviations of the values ​​corresponding to the basic operating data from the standard threshold is set as the deviation information index. The deviation information index is compared and analyzed with the preset deviation information index threshold stored in the internal data entry: If the deviation information index is less than or equal to the preset deviation information index threshold, no signal is generated; If the deviation information index is greater than the preset deviation information index threshold, a positioning instruction is generated. When the positioning instruction is generated, the electrical component corresponding to the positioning instruction is obtained, and the electrical component corresponding to the positioning instruction is set as the faulty component. The long side of the target communication cabinet that is in contact with the ground is set as the X-axis, the wide side is set as the Y-axis, and the side perpendicular to the corner point of the X-axis and the Y-axis in the vertical direction is set as the Z-axis, thereby obtaining the spatial coordinate system of the target communication cabinet, obtaining the spatial coordinates corresponding to the faulty component from the spatial coordinate system, and sending the spatial coordinates to the management display unit via the state evaluation unit. After receiving the spatial coordinates, the management display unit immediately displays the spatial coordinates corresponding to the faulty component on the display panel, thereby facilitating rapid and accurate replacement or repair of the faulty component, so as to improve the repair efficiency of the target communication cabinet and shorten the repair time; In summary, the present invention analyzes the working status and performance characteristics of the target communication cabinet to understand whether the target communication cabinet has a fault, so as to manage and adjust the target communication cabinet according to the information feedback to reduce the operating damage of the target communication cabinet, and at the same time help to improve the operating stability and management efficiency of the target communication cabinet, that is, to perform operation fault supervision evaluation analysis on the working status data to determine whether the target communication cabinet has a fault, so as to provide timely feedback and early warning management, and to perform performance feature matching verification and detection analysis on the performance feature data, so as to analyze from the perspective of the performance characteristics of the target communication cabinet, and then judge whether the target communication cabinet has a fault. In the event of a failure, the target communication cabinet can be managed reasonably to reduce the failure risk rate of the target communication cabinet, and feature extraction, evaluation and feedback operations can be performed through information feedback to understand the abnormal characteristics of the target communication cabinet, so as to manage the target communication cabinet reasonably and in a targeted manner, so as to improve the management efficiency of the target communication cabinet, and in-depth fault location supervision, evaluation and analysis of basic operating data can be performed. On the one hand, it helps to understand whether the failure of the target communication cabinet is caused by the failure of an electrical component, and on the other hand, it helps to locate the electrical component that causes the failure of the target communication cabinet, thereby helping to improve the maintenance efficiency of the target communication cabinet and shorten the maintenance time.

[0015] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0016] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A modular communication cabinet fault detection and diagnosis system based on the Internet of Things, characterized in that: It includes a fault detection and diagnosis platform, an information collection unit, a performance supervision unit, a state evaluation unit, a feature extraction unit, a coordinate positioning unit, and a management display unit; The information collection unit is used to collect the performance characteristic data and working status data of the target communication cabinet, and send the performance characteristic data and the working status data to the performance supervision unit and the status evaluation unit respectively. After receiving the working status data, the status evaluation unit immediately performs operation fault supervision evaluation analysis on the working status data, compares and analyzes the obtained fault evaluation index, and sends the obtained alarm signal to the management display unit; After receiving the performance feature data, the performance supervision unit immediately performs performance feature matching verification detection and analysis on the performance feature data to obtain normal signals and abnormal signals; The feature extraction unit is used to respond to the abnormal signal and perform feature extraction evaluation feedback operation on the performance feature data, and send the obtained continuous signal and intermittent signal to the management display unit; The coordinate positioning unit is used to respond to alarm signals and abnormal signals, collect basic operating data of electrical components, and perform fault location supervision, evaluation and analysis on the basic operating data to obtain the spatial coordinates corresponding to the faulty components.

2. According to the IoT-based modular communication cabinet fault detection and diagnosis system of claim 1, it is characterized in that: The operation fault supervision evaluation and analysis process of the state evaluation unit is as follows: The working period of the modular communication cabinet is collected and set as the time threshold, the modular communication cabinet is set as the target communication cabinet, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, and the working data of the target communication cabinet in each sub-time period is obtained. The working data includes an energy consumption index and a data processing coefficient. The energy consumption index and the data processing coefficient are compared and analyzed with the preset energy consumption index threshold and the preset data processing coefficient threshold that are entered and stored internally: If the energy consumption index is less than the preset energy consumption index threshold, and the data processing coefficient is less than the preset data processing coefficient threshold, the corresponding sub-time period is determined to be a stable period; If the energy consumption index is greater than or equal to a preset energy consumption index threshold, or the data processing coefficient is greater than or equal to a preset data processing coefficient threshold, the corresponding sub-time period is determined to be a risk period.

3. According to the IoT-based modular communication cabinet fault detection and diagnosis system of claim 1, it is characterized in that: The ratio between the number corresponding to the risk period and the number corresponding to the stable period is obtained, and the ratio between the number corresponding to the risk period and the number corresponding to the stable period is set as the fault assessment index, and the fault assessment index is compared and analyzed with the preset fault assessment index threshold value recorded and stored internally: If the ratio between the fault assessment index and the preset fault assessment index threshold is less than 1, no signal is generated; If the ratio between the fault assessment index and the preset fault assessment index threshold is greater than or equal to 1, an alarm signal is generated; The energy consumption index represents the product of the portion of the total energy consumption of the target communication cabinet in the sub-time period that exceeds the preset total energy consumption value and the duration corresponding to the power consumption rate being greater than the preset power consumption rate threshold after data normalization processing; The data processing coefficient represents the product of the part of the bit error rate of the target communication cabinet in the sub-time period exceeding the preset bit error rate threshold and the part of the total data processing volume below the preset data processing volume threshold after data normalization processing.

4. According to the IoT-based modular communication cabinet fault detection and diagnosis system of claim 1, it is characterized in that: The performance feature matching verification detection and analysis process of the performance supervision unit is as follows: S1: Obtain performance characteristic data of the historical normal operation of the target communication cabinet within the time threshold, including an amplitude waveform, an operating temperature waveform, and a decibel waveform, and then construct a standard performance characteristic list; S2: Obtain the performance characteristic data of the target communication cabinet within the time threshold, compare the amplitude waveform, operating temperature waveform and decibel waveform with the standard performance characteristic list one by one, obtain the similarity between the amplitude waveform, operating temperature waveform and decibel waveform and the standard performance characteristic list, and set the similarity between the amplitude waveform, operating temperature waveform and decibel waveform and the standard performance characteristic list as amplitude similarity value, temperature similarity value and decibel similarity value respectively, and compare the amplitude similarity value, temperature similarity value and decibel similarity value with the preset amplitude similarity value threshold, preset temperature similarity value threshold and preset decibel similarity value threshold recorded and stored internally one by one for analysis: If the amplitude similarity value, the temperature similarity value and the decibel similarity value are all greater than or equal to the preset amplitude similarity value threshold, the preset temperature similarity value threshold and the preset decibel similarity value threshold, then the sub-time period is determined to be a normal signal; If the amplitude similarity value, the temperature similarity value and the decibel similarity value are not all greater than or equal to the preset amplitude similarity value threshold, the preset temperature similarity value threshold and the preset decibel similarity value threshold, the sub-time period is determined to be an abnormal signal.

5. The modular communication cabinet fault detection and diagnosis system based on the Internet of Things according to claim 1 is characterized in that: The feature extraction evaluation feedback operation process of the feature extraction unit is as follows: The time periods where the amplitude waveform, operating temperature waveform and decibel waveform are different from the standard performance characteristic list are obtained and set as the difference period, the number corresponding to the difference period is obtained, and the number corresponding to the difference period is set as the difference characteristic value, and the difference characteristic value is compared and analyzed with the preset difference characteristic value threshold value stored in the internal entry: If the difference characteristic value is less than or equal to the preset difference characteristic value threshold, the target communication cabinet is determined to be a persistent abnormal fault; If the difference characteristic value is greater than the preset difference characteristic value threshold, a feedback instruction is generated. When the feedback instruction is generated, the number of times the interval duration of the difference characteristic value is smaller than the preset interval duration threshold is obtained, and the number of times the interval duration of the difference characteristic value is smaller than the preset interval duration threshold is set as the difference interval index, and the difference interval index is compared and analyzed with the internally entered and stored and the preset difference interval index threshold: If the difference interval index is greater than the preset difference interval index threshold, the target communication cabinet is determined to be a continuous abnormal fault, and a continuous signal is generated; If the difference interval index is less than or equal to the preset difference interval index threshold, the target communication cabinet is determined to be an intermittent abnormal fault, and an intermittent signal is generated.

6. The modular communication cabinet fault detection and diagnosis system based on the Internet of Things according to claim 1 is characterized in that: The fault location supervision evaluation and analysis process of the coordinate positioning unit is as follows: The basic operating data of each electrical component in the target communication cabinet within the time threshold is obtained. The basic operating data includes the actual operating energy consumption and the actual operating temperature. The number of deviations from the standard threshold corresponding to the values ​​of the basic operating data is obtained, and the number of deviations from the standard threshold corresponding to the values ​​of the basic operating data is set as the deviation information index. The deviation information index is compared and analyzed with the preset deviation information index threshold stored in the internal data entry: If the deviation information index is less than or equal to the preset deviation information index threshold, no signal is generated; If the deviation information index is greater than the preset deviation information index threshold, a positioning instruction is generated. When the positioning instruction is generated, the electrical component corresponding to the positioning instruction is obtained, and the electrical component corresponding to the positioning instruction is set as the faulty component. The long side of the target communication cabinet that is in contact with the ground is set as the X-axis, the wide side is set as the Y-axis, and the side perpendicular to the corner point of the X-axis and the Y-axis is set as the Z-axis, thereby obtaining the spatial coordinate system of the target communication cabinet, and obtaining the spatial coordinates corresponding to the faulty component from the spatial coordinate system.

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