Flexible carbon nanotube cold cathode electrostatic safety monitoring system and device

Abstract

The invention relates to the technical field of electrostatic protection and monitoring and carbon nanotube material application, and discloses a flexible carbon nanotube cold cathode electrostatic safety monitoring system and device. A central processing unit, a multi-dimensional data acquisition module, a data analysis module, a judgment module, an early warning module, a parameter adjustment module, a fault diagnosis module, a data storage module and a communication module are established, and the central processing unit ensures efficient cooperation of all the modules; the multi-dimensional data acquisition module provides original data; the data analysis module is used for realizing quantitative analysis on key indexes; the judgment module accurately recognizes problems existing in the system; the early warning module sends out warning information in time; the parameter adjusting module optimizes the running state of the system; the fault diagnosis module quickly locates a fault source; the data storage module provides data support for subsequent analysis; and the communication module ensures bidirectional smooth transmission of data, and finally, the system achieves the beneficial effect of safely, accurately and efficiently monitoring and managing static electricity of the flexible carbon nanotube cold cathode in real time.

Description

Technical Field

[0001] This invention relates to the fields of electrostatic protection and monitoring technology and carbon nanotube material application technology, specifically a flexible carbon nanotube cold cathode electrostatic safety monitoring system and device. Background Technology

[0002] In the development of electrostatic safety monitoring technology for flexible carbon nanotube cold cathodes, existing solutions still face multiple challenges. Traditional systems lack quantitative assessment methods for operational stability, lifespan degradation, and environmental adaptability, making it difficult to accurately control operational risks. Specifically, regarding operational stability, factors such as voltage fluctuations, sudden sparking events, and current fluctuations can significantly interfere with cathode emission characteristics, but conventional monitoring relies solely on experience-based judgment, failing to achieve comprehensive quantification of multi-dimensional risks. In terms of lifespan management, the uneven current density distribution of carbon nanotube arrays easily forms local hotspots, accelerating the deterioration and damage of specific tube bundles, yet dynamic prediction models are lacking to guide load balancing adjustments. Regarding environmental adaptability, quantum tunneling effects caused by changes in vacuum exacerbate leakage problems, and thermal stress caused by temperature gradients further affects structural reliability; existing devices have not yet established effective multi-parameter coupling analysis mechanisms. These technical bottlenecks severely restrict the reliability of monitoring systems and the expansion of applicable scenarios. Summary of the Invention

[0003] (a) Technical problems to be solved

[0004] To address the shortcomings of existing technologies, this invention provides a flexible carbon nanotube cold cathode electrostatic safety monitoring system and device, which has the advantages of multi-dimensional data acquisition and quantitative analysis, real-time risk assessment and early warning, intelligent life prediction and environmental adaptive adjustment. It solves the problems of relying on experience judgment, lack of dynamic prediction and lack of multi-factor coupling analysis in traditional solutions.

[0005] (II) Technical Solution

[0006] To achieve the above objectives, the present invention provides the following technical solution: a flexible carbon nanotube cold cathode electrostatic safety monitoring system, comprising a central processing unit, a multi-dimensional data acquisition module, a data analysis module, a judgment module, an early warning module, a parameter adjustment module, a fault diagnosis module, a data storage module, and a communication module;

[0007] The multidimensional data acquisition module is responsible for acquiring voltage data, current density data, and environmental parameter data in real time and comprehensively.

[0008] The data analysis module outputs a work stability risk index based on the collected data. Cathode lifetime decay rate Failure index with environmental adaptability ;

[0009] The judgment module is based on the job stability risk index. Cathode lifetime decay rate Failure index with environmental adaptability It determines whether the system has problems with operational stability, shortened lifespan, or poor environmental adaptability, and generates corresponding judgment results for different problems;

[0010] Based on the results of the judgment module, the early warning module issues corresponding early warning signals when the system experiences abnormal operational stability, shortened lifespan, or poor environmental adaptability. The early warning methods include audible and visual warnings and information push notifications.

[0011] The parameter adjustment module receives the result from the judgment module. When it is determined that there is a problem with the operation stability, it adjusts the operating voltage parameter of the cold cathode; for lifespan issues, it adjusts the current density distribution; for environmental adaptability issues, it adjusts the parameters of the relevant environmental control equipment.

[0012] The fault diagnosis module combines the raw data from the multidimensional data acquisition module and the results from the data analysis module to diagnose fault points in the system that can lead to problems with operational stability, lifespan, and environmental adaptability.

[0013] The data storage module is used to store all the raw data collected by the multidimensional data acquisition module, the calculation results of the data analysis module, the judgment results of the judgment module, and the system's operation log information;

[0014] The communication module is responsible for transmitting system operating data, early warning information and judgment results to the central processing unit, and at the same time receiving control commands from the outside.

[0015] The central processing unit coordinates and manages the multi-dimensional data acquisition module, data analysis module, judgment module, early warning module, parameter adjustment module, fault diagnosis module, data storage module, and communication module.

[0016] Preferably, the multidimensional data acquisition module includes a cathode voltage / current fluctuation monitoring unit, a cathode current density monitoring unit, and an environmental parameter monitoring unit, and the data analysis module includes an operational stability analysis unit, a cathode lifetime prediction unit, and an environmental adaptability analysis unit.

[0017] Preferably, the cathode voltage / current fluctuation monitoring unit monitors the amplitude and frequency of the working voltage fluctuation applied to the carbon nanotube cold cathode and the fluctuation of the cathode emission current in real time, and captures the ignition signal or abnormal current spike.

[0018] Preferably, the cathode current density monitoring unit uses high-resolution imaging or point scanning technology to monitor the current density in different areas of the cathode surface in real time, and to identify the preferred emission points and their distribution uniformity.

[0019] Preferably, the environmental parameter monitoring unit monitors the vacuum level, temperature, humidity and other environmental parameters of the system's working environment in real time, and accurately measures the leakage current between the cathode and anode or at a specific point.

[0020] Preferably, the job stability analysis unit calculates the job stability risk index. The calculation formula is as follows:

[0021]

[0022] In the formula, This indicates a job stability risk index. This represents the real-time sampled voltage sequence. This represents the average voltage over the period. Indicates the number of voltage sampling points. This represents the standard deviation of the operating voltage fluctuation. This indicates the number of ignition events within the period. Represents the real-time transmitted current sequence, in relation to voltage. Sampling synchronized current timing data, Indicates the number of current sampling points. This represents the average emission current over the period. This represents the standard deviation of the transmit current fluctuation. , , These represent the weighting coefficients for voltage fluctuations, arcing events, and current fluctuations, respectively.

[0023] Preferably, the cathode lifetime prediction unit calculates the cathode lifetime decay rate. The calculation formula is as follows:

[0024]

[0025] In the formula, Indicates the cathode lifetime decay rate. Indicates the basic attenuation coefficient. This represents the overall average emission current density of the cold cathode during the monitoring period. This indicates the local maximum emission current density during the monitoring period. This represents the desired uniform emission current density. This indicates the acceleration decay index.

[0026] Preferably, the environmental adaptability analysis unit calculates the environmental adaptability failure index. The calculation formula is as follows:

[0027]

[0028] In the formula, Indicates the environmental adaptability failure index. The vacuum sensitivity coefficient represents the actual vacuum level. For standard vacuum degree, Indicates the temperature sensitivity coefficient. This is the actual temperature. Standard temperature This represents the leakage current amplification factor. This represents the change in leakage rate.

[0029] Preferably, the judgment module uses the work stability risk index obtained by the data analysis module. Cathode lifetime decay rate Failure index with environmental adaptability The risk index of job stability is compared with preset thresholds. If the value is below a set threshold, an operational stability issue is identified; when the cathode lifetime decay rate... When the set threshold is exceeded, a shortened lifespan problem is identified; when the environmental adaptability failure index... When the condition exceeds a reasonable range, it is determined that there is a problem with poor environmental adaptability, and corresponding judgment results are generated for different problems.

[0030] A flexible carbon nanotube cold cathode electrostatic safety monitoring device includes a multi-dimensional data acquisition module, a data analysis module, a judgment module, an early warning module, a parameter adjustment module, a fault diagnosis module, a data storage module, and a communication module. The devices are connected via an internal bus or wireless network to perform data acquisition, analysis, and processing. The central processing unit executes the above modules sequentially to achieve automated and intelligent management of the electrostatic safety monitoring of the flexible carbon nanotube cold cathode.

[0031] Compared with the prior art, the present invention provides a flexible carbon nanotube cold cathode electrostatic safety monitoring system and device, which has the following beneficial effects:

[0032] 1. This invention calculates the operational stability risk index. This index comprehensively considers the key factors affecting operational stability, including voltage fluctuations, arcing events, and current fluctuations. By highlighting the impact of high-risk factors such as arcing events through weighting coefficients, it achieves a quantitative assessment of operational stability risks. This index can intuitively reflect the stable state of the system under high voltage and high current environments, making it easier for staff to accurately grasp the operational risks of the system. It provides a scientific basis for taking timely measures to ensure the stable operation of the system, and ultimately achieves the effect of effectively reducing the probability of system failures and monitoring inaccuracies caused by operational instability.

[0033] 2. This invention calculates the cathode lifetime decay rate. This approach comprehensively considers the intrinsic properties of carbon nanotubes, the uniformity of current density distribution, and the degree of deviation from design expectations, which all affect the lifespan of the cathode. Furthermore, the introduction of an accelerated decay index reflects the nonlinear decay relationship. This rate can quantitatively reflect the loss of cathode lifespan, predict the potential for shortened cathode lifespan in advance, and enable staff to take measures such as adjusting the current density distribution in advance to avoid excessive local loads. Ultimately, this achieves the effect of extending cathode lifespan and reducing system maintenance costs and replacement frequency.

[0034] 3. This invention calculates the environmental adaptability failure index. This index comprehensively integrates the impact of environmental parameter deviations such as vacuum level and temperature, as well as changes in leakage rate, on the system's environmental adaptability. Furthermore, through sensitivity coefficients and amplification coefficients, it can reflect the degree of influence of different factors. This index can clearly reflect the system's adaptability in different environments, helping staff to understand the impact of environmental changes on the system in a timely manner. This facilitates the implementation of measures such as adjusting environmental control equipment to improve the working environment, ultimately enhancing the system's adaptability and performance in special environments and expanding its application scope. Attached Figure Description

[0035] Figure 1 This is a system flowchart of the present invention. Detailed Implementation

[0036] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] Please see Figure 1 A flexible carbon nanotube cold cathode electrostatic safety monitoring system includes a central processing unit, a multi-dimensional data acquisition module, a data analysis module, a judgment module, an early warning module, a parameter adjustment module, a fault diagnosis module, a data storage module, and a communication module.

[0038] The multidimensional data acquisition module is responsible for real-time and comprehensive acquisition of voltage data, current density data, and environmental parameter data. Specifically, it includes voltage data of instantaneous voltage and current fluctuation values ​​when the cold cathode is working, current density data of current density distribution and changes at different locations, and environmental parameter data of vacuum degree, temperature, humidity and leakage rate of the working environment, providing accurate and complete raw information for subsequent data analysis.

[0039] The data analysis module processes the collected data using preset calculation formulas and outputs a work stability risk index. Cathode lifetime decay rate Failure index with environmental adaptability ;

[0040] The judgment module is based on the job stability risk index. Cathode lifetime decay rate Failure index with environmental adaptability It determines whether the system has problems with operational stability, shortened lifespan, or poor environmental adaptability, and generates corresponding judgment results for different problems;

[0041] Based on the results from the judgment module, the early warning module issues corresponding early warning signals when the system exhibits abnormal operational stability, shortened lifespan, or poor environmental adaptability. The early warning methods include audible and visual warnings and information push notifications, so that staff can be informed in a timely manner.

[0042] The parameter adjustment module receives the results from the judgment module. When it determines that there is a problem with operational stability, it adjusts the operating voltage parameters of the cold cathode to keep it within a stable range. For lifespan issues, it adjusts the current density distribution to avoid excessive local load. For environmental adaptability issues, it adjusts the parameters of relevant environmental control equipment to improve the working environment.

[0043] The fault diagnosis module combines the raw data from the multidimensional data acquisition module and the results from the data analysis module to diagnose fault points in the system that may cause problems with operational stability, lifespan, and environmental adaptability, and determine the cause of the fault, such as damage to the cold cathode component or circuit connection problems.

[0044] The data storage module is used to store all the raw data collected by the multidimensional data acquisition module, the calculation results of the data analysis module, the judgment results of the judgment module, and the system's operation log information, so as to facilitate subsequent querying and analysis.

[0045] The communication module is responsible for transmitting system operating data, early warning information and judgment results to the central processing unit, and at the same time receiving control commands from the outside to realize bidirectional data transmission.

[0046] The central processing unit coordinates and manages the multi-dimensional data acquisition module, data analysis module, judgment module, early warning module, parameter adjustment module, fault diagnosis module, data storage module, and communication module. Specifically, it allocates working resources to each module, schedules the working order of each module, ensures smooth data transmission and command interaction between modules, monitors the operating status of each module, and intervenes when anomalies occur. This ensures that the entire system can work together efficiently and in an orderly manner, achieving accurate monitoring of the electrostatic safety of the flexible carbon nanotube cold cathode.

[0047] The advantages are as follows: By establishing a central processing unit, multi-dimensional data acquisition module, data analysis module, judgment module, early warning module, parameter adjustment module, fault diagnosis module, data storage module, and communication module, a closed-loop intelligent management and control system is formed. Among them, the central processing unit realizes intelligent scheduling of the entire system, the multi-dimensional data acquisition module provides real-time perception of multi-physical fields, the data analysis module completes risk quantification modeling, the judgment module realizes accurate problem location, the early warning module establishes a hierarchical response mechanism, the parameter adjustment module executes dynamic optimization control, the fault diagnosis module supports predictive maintenance, the data storage module ensures full-cycle data traceability, and the communication module builds a secure interaction channel. The modules cooperate with each other to form a closed loop of "perception-analysis-decision-execution", ultimately achieving three major effects: improved stability, extended lifespan, and enhanced environmental adaptability.

[0048] The multi-dimensional data acquisition module includes a cathode voltage / current fluctuation monitoring unit, a cathode current density monitoring unit, and an environmental parameter monitoring unit. The data analysis module includes an operational stability analysis unit, a cathode lifetime prediction unit, and an environmental adaptability analysis unit.

[0049] The cathode voltage / current fluctuation monitoring unit monitors the amplitude and frequency of the working voltage fluctuation applied to the carbon nanotube cold cathode and the fluctuation of the cathode emission current in real time, and captures the ignition signal or abnormal current spike.

[0050] The cathode current density monitoring unit uses high-resolution imaging or point scanning technology to monitor the emission intensity (current density) of different areas on the cathode surface in real time, and to identify "hot spot" areas (preferred emission points) and their distribution uniformity.

[0051] The environmental parameter monitoring unit monitors key parameters of the system's working environment in real time (such as vacuum level, temperature, humidity (if applicable)) and accurately measures the leakage current between the cathode and anode or at specific points.

[0052] The advantages are: the cathode voltage / current fluctuation monitoring unit accurately captures voltage and current anomalies; the cathode current density monitoring unit monitors the current distribution in real time; the environmental parameter monitoring unit provides a comprehensive understanding of the working environment; the working stability analysis unit quantifies the working stability risks; the cathode lifespan prediction unit assesses lifespan degradation; and the environmental adaptability analysis unit judges environmental adaptability. These units collaborate to achieve multi-dimensional and in-depth monitoring and analysis of the system's operating status, ultimately providing accurate data for subsequent system judgment and adjustment, thereby improving the overall monitoring accuracy and effectiveness of the system.

[0053] The job stability analysis unit calculates the job stability risk index. The calculation formula is as follows:

[0054]

[0055] In the formula, This indicates a job stability risk index. This represents the real-time sampled voltage sequence. This represents the average voltage over the period. Indicates the number of voltage sampling points. This represents the standard deviation of operating voltage fluctuations (reflecting the risk of voltage surges). This indicates the number of ignition events within the period. Represents the real-time transmitted current sequence (and voltage) (Sampling synchronized current timing data). Indicates the number of current sampling points. This represents the average emission current over the period. This represents the standard deviation of the transmit current fluctuation. , , These represent the weighting coefficients for voltage fluctuations, arcing events, and current fluctuations (calibrated based on system characteristics and historical data). Typically large (directly associated with arcing risk), this index quantifies the risk of cathode failure and monitoring inaccuracy under high voltage / high current impacts, and assesses operational stability risk. The higher the value, the greater the risk to its stability.

[0056] The advantage is that it calculates the job stability risk index. This index comprehensively considers the key factors affecting operational stability, including voltage fluctuations, arcing events, and current fluctuations. By highlighting the impact of high-risk factors such as arcing events through weighting coefficients, it achieves a quantitative assessment of operational stability risks. This index can intuitively reflect the stable state of the system under high voltage and high current environments, making it easier for staff to accurately grasp the operational risks of the system. It provides a scientific basis for taking timely measures to ensure the stable operation of the system, and ultimately achieves the effect of effectively reducing the probability of system failures and monitoring inaccuracies caused by operational instability.

[0057] The cathode lifetime prediction unit calculates the cathode lifetime decay rate. The calculation formula is as follows:

[0058]

[0059] In the formula, Indicates the cathode lifetime decay rate. The fundamental attenuation coefficient is determined by the intrinsic properties of carbon nanotubes (such as chirality and defect density) and is calibrated through a "standard uniform emission experiment" (during uniform emission). It represents the overall average emission current density of the cold cathode during the monitoring period (calculated by converting current sensor and area to reflect macroscopic emission level). This indicates the local maximum emission current density during the monitoring period (detected by microscopic probes or array sensors, reflecting the load of "preferentially emitting carbon nanotubes"). This represents the desired uniform emission current density (the current density under ideal uniform distribution, set during system design based on lifetime requirements). The acceleration decay index (correlation with the nonlinear relationship of "inhomogeneous emission-damage" of carbon nanotubes, derived from experimental fitting, such as...) =2~5, the larger the value, the faster the lifespan decays when deviating from the design density).

[0060] The advantage is that it allows for the calculation of the cathode lifetime decay rate. This approach comprehensively considers the intrinsic properties of carbon nanotubes, the uniformity of current density distribution, and the degree of deviation from design expectations, which all affect the lifespan of the cathode. Furthermore, the introduction of an accelerated decay index reflects the nonlinear decay relationship. This rate can quantitatively reflect the loss of cathode lifespan, predict the potential for shortened cathode lifespan in advance, and enable staff to take measures such as adjusting the current density distribution in advance to avoid excessive local loads. Ultimately, this achieves the effect of extending cathode lifespan and reducing system maintenance costs and replacement frequency.

[0061] The environmental adaptability analysis unit calculates the environmental adaptability failure index. The calculation formula is as follows:

[0062]

[0063] In the formula, Indicates the environmental adaptability failure index. The vacuum sensitivity coefficient (the weight of vacuum deviation on failure, calibrated through "vacuum environment experiment," e.g., the proportion by which the failure risk increases for every 10% deviation of the vacuum degree from the standard) represents the actual vacuum degree. For standard vacuum degree, This represents the temperature sensitivity coefficient (the weight of the impact of temperature deviation on failure, calibrated through a "variable temperature test," such as the percentage increase in failure risk for every 5% deviation of the temperature from the standard). This is the actual temperature. Standard temperature This represents the leakage rate amplification factor (the direct contribution of leakage rate changes to failure, since quantum tunneling leakage is "exponentially amplified"). Typically greater than 1, calibrated through a "defect-leakage test"). This represents the change in leakage rate. A value within a reasonable range indicates good environmental adaptability.

[0064] The advantage is that it calculates the environmental adaptability failure index. This index comprehensively integrates the impact of environmental parameter deviations such as vacuum level and temperature, as well as changes in leakage rate, on the system's environmental adaptability. Furthermore, through sensitivity coefficients and amplification coefficients, it can reflect the degree of influence of different factors. This index can clearly reflect the system's adaptability in different environments, helping staff to understand the impact of environmental changes on the system in a timely manner. This facilitates the implementation of measures such as adjusting environmental control equipment to improve the working environment, ultimately enhancing the system's adaptability and performance in special environments and expanding its application scope.

[0065] The judgment module will use the work stability risk index derived from the data analysis module. Cathode lifetime decay rate Failure index with environmental adaptability The risk index of job stability is compared with preset thresholds. If the value is below a set threshold, an operational stability issue is identified; when the cathode lifetime decay rate... When the set threshold is exceeded, a shortened lifespan problem is identified; when the environmental adaptability failure index... When the condition exceeds a reasonable range, it is determined that there is a problem with poor environmental adaptability, and corresponding judgment results are generated for different problems.

[0066] The advantages are: by comparing key indices with preset thresholds through the judgment module, the system can accurately judge its operational stability, lifespan, and environmental adaptability. It generates corresponding results for different problems, which is highly targeted. This judgment method is based on quantitative data to avoid errors in subjective judgment. It can quickly and accurately identify problems in the system, providing a clear direction for subsequent early warning and adjustment, and ultimately improving the timeliness and effectiveness of system problem handling.

[0067] A flexible carbon nanotube cold cathode electrostatic safety monitoring device includes a multi-dimensional data acquisition module, a data analysis module, a judgment module, an early warning module, a parameter adjustment module, a fault diagnosis module, a data storage module, and a communication module. The device is connected via an internal bus or wireless network to perform data acquisition, analysis, and processing. The central processing unit executes the above modules sequentially to achieve automated and intelligent management of the electrostatic safety monitoring of the flexible carbon nanotube cold cathode.

[0068] The advantages are: by executing operations sequentially on each module through the central processing unit, and by combining internal bus or wireless network to achieve efficient data transmission and interaction between modules, the device can automatically complete a series of tasks such as data acquisition, analysis, judgment, early warning and adjustment without much human intervention. It can realize the automation and intelligence of the monitoring process, which can not only reduce human operation error, but also improve monitoring efficiency and response speed. Finally, it can achieve the effect of reliable monitoring and management of electrostatic safety of flexible carbon nanotube cold cathodes around the clock and without interruption.

[0069] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A flexible carbon nanotube cold cathode electrostatic safety monitoring system, characterized in that, It includes a central processing unit, a multi-dimensional data acquisition module, a data analysis module, a judgment module, an early warning module, a parameter adjustment module, a fault diagnosis module, a data storage module, and a communication module; The multidimensional data acquisition module is responsible for acquiring voltage data, current density data, and environmental parameter data in real time and comprehensively. The data analysis module outputs a work stability risk index based on the collected data. Cathode lifetime decay rate Failure index with environmental adaptability ; The judgment module is based on the job stability risk index. Cathode lifetime decay rate Failure index with environmental adaptability It determines whether the system has problems with operational stability, shortened lifespan, or poor environmental adaptability, and generates corresponding judgment results for different problems; Based on the results of the judgment module, the early warning module issues corresponding early warning signals when the system experiences abnormal operational stability, shortened lifespan, or poor environmental adaptability. The early warning methods include audible and visual warnings and information push notifications. The parameter adjustment module receives the result from the judgment module. When it is determined that there is a problem with the operation stability, it adjusts the operating voltage parameter of the cold cathode; for lifespan issues, it adjusts the current density distribution; for environmental adaptability issues, it adjusts the parameters of the relevant environmental control equipment. The fault diagnosis module combines the raw data from the multidimensional data acquisition module and the results from the data analysis module to diagnose fault points in the system that can lead to problems with operational stability, lifespan, and environmental adaptability. The data storage module is used to store all the raw data collected by the multidimensional data acquisition module, the calculation results of the data analysis module, the judgment results of the judgment module, and the system's operation log information; The communication module is responsible for transmitting system operating data, early warning information and judgment results to the central processing unit, and at the same time receiving control commands from the outside. The central processing unit coordinates and manages the multi-dimensional data acquisition module, data analysis module, judgment module, early warning module, parameter adjustment module, fault diagnosis module, data storage module, and communication module.

2. The flexible carbon nanotube cold cathode electrostatic safety monitoring system according to claim 1, characterized in that: The multidimensional data acquisition module includes a cathode voltage / current fluctuation monitoring unit, a cathode current density monitoring unit, and an environmental parameter monitoring unit. The data analysis module includes an operational stability analysis unit, a cathode lifetime prediction unit, and an environmental adaptability analysis unit.

3. The flexible carbon nanotube cold cathode electrostatic safety monitoring system according to claim 2, characterized in that: The cathode voltage / current fluctuation monitoring unit monitors the amplitude and frequency of the working voltage fluctuation applied to the carbon nanotube cold cathode and the fluctuation of the cathode emission current in real time, and captures the ignition signal or abnormal current spike.

4. The flexible carbon nanotube cold cathode electrostatic safety monitoring system according to claim 2, characterized in that: The cathode current density monitoring unit uses high-resolution imaging or point scanning technology to monitor the current density in different areas of the cathode surface in real time, and to identify the priority emission points and their distribution uniformity.

5. The flexible carbon nanotube cold cathode electrostatic safety monitoring system according to claim 2, characterized in that: The environmental parameter monitoring unit monitors the vacuum level, temperature, humidity and other environmental parameters of the system's working environment in real time, and accurately measures the leakage current between the cathode and anode or at specific points.

6. The flexible carbon nanotube cold cathode electrostatic safety monitoring system according to claim 2, characterized in that: The job stability analysis unit calculates the job stability risk index. The calculation formula is as follows: In the formula, This indicates a job stability risk index. This represents the real-time sampled voltage sequence. This represents the average voltage over the period. Indicates the number of voltage sampling points. This represents the standard deviation of the operating voltage fluctuation. This indicates the number of ignition events within the period. Represents the real-time transmitted current sequence, in relation to voltage. Sampling synchronized current timing data, Indicates the number of current sampling points. This represents the average emission current over the period. This represents the standard deviation of the transmit current fluctuation. , , These represent the weighting coefficients for voltage fluctuations, arcing events, and current fluctuations, respectively.

7. The flexible carbon nanotube cold cathode electrostatic safety monitoring system according to claim 2, characterized in that: The cathode lifetime prediction unit calculates the cathode lifetime decay rate. The calculation formula is as follows: In the formula, Indicates the cathode lifetime decay rate. Indicates the basic attenuation coefficient. This represents the overall average emission current density of the cold cathode during the monitoring period. This indicates the local maximum emission current density during the monitoring period. This represents the desired uniform emission current density. This indicates the acceleration decay index.

8. The flexible carbon nanotube cold cathode electrostatic safety monitoring system according to claim 1, characterized in that: The environmental adaptability analysis unit calculates the environmental adaptability failure index. The calculation formula is as follows: In the formula, Indicates the environmental adaptability failure index. The vacuum sensitivity coefficient represents the actual vacuum level. For standard vacuum degree, Indicates the temperature sensitivity coefficient. This is the actual temperature. Standard temperature This represents the leakage current amplification factor. This represents the change in leakage rate.

9. The flexible carbon nanotube cold cathode electrostatic safety monitoring system according to claim 1, characterized in that: The judgment module will use the work stability risk index obtained by the data analysis module. Cathode lifetime decay rate Failure index with environmental adaptability The risk index of job stability is compared with preset thresholds. If the value is below a set threshold, an operational stability issue is identified; when the cathode lifetime decay rate... When the set threshold is exceeded, a shortened lifespan problem is identified; when the environmental adaptability failure index... When the condition exceeds a reasonable range, it is determined that there is a problem with poor environmental adaptability, and corresponding judgment results are generated for different problems.

10. A flexible carbon nanotube cold cathode electrostatic safety monitoring device, characterized in that, The device includes a multi-dimensional data acquisition module, a data analysis module, a judgment module, an early warning module, a parameter adjustment module, a fault diagnosis module, a data storage module, and a communication module. It is connected via an internal bus or wireless network to perform data acquisition, analysis, and processing. The central processing unit executes the operations of each module in claims 1-9 sequentially to realize automated and intelligent management of electrostatic safety monitoring of flexible carbon nanotube cold cathodes.

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