EC independent power supply monitoring method, system and device and storage medium

Abstract

The invention discloses an EC independent power supply monitoring method, system and device and a storage medium, and the method comprises the steps: reading a rated power supply parameter of an EC independent power supply, and determining the type of the EC independent power supply based on the rated power supply parameter; determining an operation parameter threshold value of the EC independent power supply according to the type of the EC independent power supply; in the operation process of the EC independent power supply, actual operation parameters of the EC independent power supply are obtained; and comparing the actual operation parameter with an operation parameter threshold value, and determining whether to output power supply abnormity alarm information or not according to a comparison result. The EC independent power supply is monitored, whether the EC independent power supply is abnormal or not is accurately judged, more global optimization can be achieved, the energy efficiency of the whole system is improved, and meanwhile the performance requirements under different working loads and task states are met.

Description

Technical Field

[0001] The present invention relates to the technical field of power supply monitoring, and in particular to an EC independent power supply monitoring method, system, device and storage medium. Background Art

[0002] An EC independent power supply is a power supply device that can independently provide a stable voltage or current. In the existing technology, when facing a scenario with several EC independent power supplies, it is impossible to achieve global optimization, resulting in low energy efficiency of the system, and unable to meet the performance requirements under different workloads and task states. There is a lack of monitoring of the EC independent power supply, and it is impossible to determine whether the EC independent power supply is abnormal. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems in the above-mentioned technology to a certain extent. To this end, the purpose of the present invention is to propose an EC independent power supply monitoring method, system, device and storage medium, which can monitor the EC independent power supply and accurately determine whether the EC independent power supply is abnormal, so as to achieve more global optimization, improve the energy efficiency of the entire system, and meet the performance requirements under different workloads and task states.

[0004] To achieve the above object, a first embodiment of the present invention provides an EC independent power supply monitoring method, comprising:

[0005] Reading the rated power parameters of the EC independent power supply, and determining the type of the EC independent power supply based on the rated power parameters;

[0006] Determine the operating parameter threshold of the EC independent power supply according to the type of the EC independent power supply;

[0007] During the operation of the EC independent power supply, the actual operation parameters of the EC independent power supply are obtained;

[0008] The actual operating parameters are compared with the operating parameter thresholds, and whether to output power abnormality alarm information is determined according to the comparison result.

[0009] According to some embodiments of the present invention, before comparing the actual operating parameter with the operating parameter threshold, the method further includes:

[0010] Identify abnormal data on actual operating parameters and determine abnormal data;

[0011] Segmenting the abnormal data to obtain a plurality of sub-abnormal data;

[0012] Extract features from several sub-abnormal data and determine the feature vector matrix;

[0013] Matching the characteristic vector matrix with a preset characteristic vector matrix in a preset database to obtain standard data corresponding to the successfully matched preset characteristic vector matrix;

[0014] Perform data segmentation on the standard data to obtain several sub-standard data;

[0015] Each two adjacent sub-standard data in the plurality of sub-standard data are regarded as an association group, recorded as a first association group, and a first association relationship between two adjacent sub-standard data in the first association group is determined;

[0016] Each two adjacent sub-abnormal data in the plurality of sub-abnormal data are regarded as an association group, recorded as a second association group, and a second association relationship between two adjacent sub-abnormal data in the second association group is determined;

[0017] The second association relationship is corrected according to the first association relationship to obtain correction data, and then the final actual operating parameters are obtained.

[0018] According to some embodiments of the present invention, the rated power supply parameters include rated voltage, rated current, rated power, efficiency, input voltage range and output voltage stability.

[0019] According to some embodiments of the present invention, obtaining actual operating parameters of the EC independent power supply includes obtaining an actual operating voltage signal of the EC independent power supply and performing noise reduction processing to obtain a target voltage signal.

[0020] According to some embodiments of the present invention, obtaining a target voltage signal includes:

[0021] The actual operating voltage signal is segmented to obtain a number of sub-voltage signals;

[0022] Based on the ensemble empirical mode decomposition, the sub-voltage signal is decomposed into different modal spaces to obtain several IMF components with different frequency scales.

[0023] Performing length standardization on IMF components of different frequency scales to obtain processed IMF components;

[0024] Calculate the mean square error between the processed IMF component and the preset standard IMF component at the same time point; select the time point where the mean square error is greater than the preset threshold as the noise point;

[0025] Extracting features of the processed IMF components corresponding to the noise points to determine spectrum features; the spectrum features include power spectrum density, spectrum center frequency and bandwidth, and spectrum entropy;

[0026] Querying a preset data table according to the spectrum characteristics, determining a noise reduction coefficient, and performing noise reduction processing on the processed IMF component according to the noise reduction coefficient;

[0027] The processed IMF components after noise reduction are reconstructed to obtain the noise-reduced sub-voltage signals; and the noise-reduced sub-voltage signals are fused to obtain the target voltage signal.

[0028] According to some embodiments of the present invention, the further comprising:

[0029] Detect the power of the EC independent power supply and compare it with the preset power threshold;

[0030] When it is determined that the power level is less than a preset power threshold, a charging reminder message is generated.

[0031] According to some embodiments of the present invention, the further comprising:

[0032] During the EC independent power supply charging process, obtain charging information;

[0033] calculating the storage efficiency of the EC independent power source according to the charging information;

[0034]

[0035] Wherein, η is the storage efficiency of the EC independent power supply; U1 is the open circuit voltage of the EC independent power supply; R1 is the internal resistance of the EC independent power supply; R2 is the resistance in the power supply circuit where the EC independent power supply is located; U2 is the charging voltage when the EC independent power supply is charged; E is the electromotive force of the EC independent power supply; W1 is the remaining power of the EC independent power supply before charging; W2 is the power stored after the EC independent power supply is fully charged;

[0036] calculating a state of charge value of the EC independent power source according to a storage efficiency of the EC independent power source;

[0037]

[0038] Wherein, η1 is the charging state value of the EC independent power supply; I is the charging current when the EC independent power supply is charged; W3 is the power consumed by the EC independent power supply during the charging process;

[0039] The charging state value is compared with a preset charging state threshold value, and when it is determined that the charging state value is less than the preset charging state threshold value, an alarm prompt is issued.

[0040] To achieve the above object, a second embodiment of the present invention provides an EC independent power supply monitoring system, comprising:

[0041] A first determination module, configured to read a rated power parameter of the EC independent power supply and determine a type of the EC independent power supply based on the rated power parameter;

[0042] A second determination module is used to determine an operating parameter threshold of the EC independent power supply according to the type of the EC independent power supply;

[0043] An acquisition module is used to acquire actual operating parameters of the EC independent power supply during the operation of the EC independent power supply;

[0044] The third determination module is used to compare the actual operating parameter with the operating parameter threshold, and determine whether to output power abnormality alarm information according to the comparison result.

[0045] To achieve the above-mentioned object, a third aspect of the present invention provides an EC independent power supply monitoring device, including the EC independent power supply monitoring system as described above.

[0046] To achieve the above objectives, the fourth aspect of the present invention proposes a storage medium, in which computer executable instructions are stored. When the computer executable instructions are loaded and executed by a processor, the steps of the EC independent power supply monitoring method as described above are implemented.

[0047] The present invention proposes an EC independent power supply monitoring method, system, device and storage medium, which can monitor the EC independent power supply and accurately determine whether the EC independent power supply is abnormal, so as to achieve more global optimization, improve the energy efficiency of the entire system, and meet the performance requirements under different workloads and task states.

[0048] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0049] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0051] Figure 1 is a flow chart of an EC independent power supply monitoring method according to an embodiment of the present invention;

[0052] Figure 2 is a block diagram of an EC independent power supply monitoring system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0053] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0054] like Figure 1 As shown, the first embodiment of the present invention proposes an EC independent power supply monitoring method, including steps S1-S4:

[0055] S1, reading the rated power parameters of the EC independent power supply, and determining the type of the EC independent power supply based on the rated power parameters;

[0056] S2. determining an operating parameter threshold of the EC independent power supply according to the type of the EC independent power supply;

[0057] S3, during the operation of the EC independent power supply, obtaining actual operation parameters of the EC independent power supply;

[0058] S4. Compare the actual operating parameter with the operating parameter threshold, and determine whether to output power abnormality alarm information according to the comparison result.

[0059] The working principle of the above technical solution: EC independent power supply is a power supply device that can independently provide stable voltage or current.

[0060] In this embodiment, the rated power parameters of the EC independent power supply include: Rated voltage (Rated Voltage): the voltage value that the power supply device should provide during normal operation. This value usually matches the rated voltage of the EC or other powered devices. Rated current (Rated Current): the maximum current value that the power supply device can continuously provide at the rated voltage. This value determines the load capacity of the power supply device. Rated power (Rated Power): the maximum power that the power supply device can continuously output at the rated voltage and rated current. This is one of the important indicators for measuring the performance of the power supply device. Efficiency (Effic iency): the ability of the power supply device to convert input electrical energy into output electrical energy. High efficiency means less energy loss and lower operating costs. Input voltage range (Input Voltage Range): the input voltage range that the power supply device can accept. This range determines the compatibility and flexibility of the power supply device. Output voltage stability (Output Voltage Stability): the ability of the power supply device to maintain a stable output voltage when the load changes. This is crucial to ensure the normal operation of the powered device.

[0061] In this embodiment, determining the type of the EC independent power supply includes: Conversion mode: According to the conversion mode of the power supply device, it can be divided into two categories: linear power supply and switching power supply. The linear power supply obtains a stable output voltage by adjusting the operating point of the transistor, and has the advantages of small output ripple and low noise, but the efficiency is relatively low. The switching power supply converts the input voltage to the required output voltage through high-frequency switching action. It has the advantages of high efficiency and small size, but may generate greater electromagnetic interference. Input voltage type: According to the type of input voltage, the power supply device can be divided into alternating current (AC) power supply and direct current (DC) power supply. AC power supply is generally used to obtain electrical energy from the mains, while DC power supply is used to obtain electrical energy from batteries or other DC sources. Output voltage type: The power supply device can also be classified according to the type of output voltage, such as fixed voltage output, adjustable voltage output, etc.

[0062] In this embodiment, different types correspond to corresponding operating parameter thresholds, so the operating parameter threshold of the EC independent power supply is determined according to the type of the EC independent power supply.

[0063] In this embodiment, the actual operating parameter is compared with the operating parameter threshold, the difference between the two is judged according to the comparison result, and whether to output power abnormality alarm information is determined according to the comparison result.

[0064] The beneficial effects of the above technical solution are: realizing the monitoring of the EC independent power supply and accurately determining whether the EC independent power supply is abnormal, which can achieve more global optimization, improve the energy efficiency of the entire system, and meet the performance requirements under different workloads and task states.

[0065] According to some embodiments of the present invention, before comparing the actual operating parameter with the operating parameter threshold, the method further includes:

[0066] Identify abnormal data on actual operating parameters and determine abnormal data;

[0067] Segmenting the abnormal data to obtain a plurality of sub-abnormal data;

[0068] Extract features from several sub-abnormal data and determine the feature vector matrix;

[0069] Matching the characteristic vector matrix with a preset characteristic vector matrix in a preset database to obtain standard data corresponding to the successfully matched preset characteristic vector matrix;

[0070] Perform data segmentation on the standard data to obtain several sub-standard data;

[0071] Each two adjacent sub-standard data in the plurality of sub-standard data are regarded as an association group, recorded as a first association group, and a first association relationship between two adjacent sub-standard data in the first association group is determined;

[0072] Each two adjacent sub-abnormal data in the plurality of sub-abnormal data are regarded as an association group, recorded as a second association group, and a second association relationship between two adjacent sub-abnormal data in the second association group is determined;

[0073] The second association relationship is corrected according to the first association relationship to obtain correction data, and then the final actual operating parameters are obtained.

[0074] The working principle and beneficial effects of the above technical solution are as follows: First, the actual operating parameters are monitored, and the abnormal data therein are identified using statistical methods, machine learning algorithms or preset thresholds. These abnormal data may be caused by factors such as measurement errors, equipment failures or external interference. The identified abnormal data is divided into several sub-abnormal data. This step is to analyze the characteristics of the abnormal data in more detail to facilitate subsequent processing. Feature extraction is performed on each sub-abnormal data to form a feature vector matrix. These features can be statistics of the data (such as mean, variance, kurtosis, etc.), waveform features, spectral features, etc., which are used to describe the characteristics of the sub-abnormal data. The extracted feature vector matrix is ​​matched with the preset feature vector matrix in the preset database to find the preset feature vector matrix that matches it. The preset database usually contains known normal data and abnormal data patterns, as well as corresponding standard data. The standard data corresponding to the successfully matched preset feature vector matrix will be used for subsequent processing. The matched standard data is divided to obtain several sub-standard data. These sub-standard data will be used as a reference to correct the abnormal data. First association group: take every two adjacent data in the sub-standard data as an association group (first association group), and determine the association relationship between them (such as change trend, relative size, etc.). Second association group: Similarly, take every two adjacent data in the sub-abnormal data as an association group (second association group), and determine the association relationship between them. Correct the second association group (i.e. the association relationship of the abnormal data) according to the first association group (i.e. the association relationship of the standard data). It involves adjusting the value or trend of the abnormal data to make it more consistent with the characteristics of the standard data. After the correction of the above steps, the corrected data is recombined into complete actual operating parameters. These corrected parameters will be closer to the actual situation and help improve the accuracy and reliability of subsequent data analysis. The entire process handles abnormal data in an automated manner, reducing the need for manual intervention and improving the efficiency and accuracy of data processing.

[0075] According to some embodiments of the present invention, obtaining actual operating parameters of the EC independent power supply includes obtaining an actual operating voltage signal of the EC independent power supply and performing noise reduction processing to obtain a target voltage signal.

[0076] The working principle and beneficial effects of the above technical solution are as follows: the actual operating voltage signal of the EC independent power supply is obtained, and noise reduction processing is performed to obtain the target voltage signal, which is convenient for obtaining accurate voltage signals.

[0077] According to some embodiments of the present invention, obtaining a target voltage signal includes:

[0078] The actual operating voltage signal is segmented to obtain a number of sub-voltage signals;

[0079] Based on the ensemble empirical mode decomposition, the sub-voltage signal is decomposed into different modal spaces to obtain several IMF components with different frequency scales.

[0080] Performing length standardization on IMF components of different frequency scales to obtain processed IMF components;

[0081] Calculate the mean square error between the processed IMF component and the preset standard IMF component at the same time point; select the time point where the mean square error is greater than the preset threshold as the noise point;

[0082] Extracting features of the processed IMF components corresponding to the noise points to determine spectrum features; the spectrum features include power spectrum density, spectrum center frequency and bandwidth, and spectrum entropy;

[0083] Querying a preset data table according to the spectrum characteristics, determining a noise reduction coefficient, and performing noise reduction processing on the processed IMF component according to the noise reduction coefficient;

[0084] The processed IMF components after noise reduction are reconstructed to obtain the noise-reduced sub-voltage signals; and the noise-reduced sub-voltage signals are fused to obtain the target voltage signal.

[0085] The working principle and beneficial effects of the above technical solution are as follows: the actual operating voltage signal is divided into several sub-voltage signals according to criteria such as time or amplitude. This helps to perform more detailed processing and analysis of the signal in the subsequent process. The ensemble empirical mode decomposition (EEMD) method is applied to each sub-voltage signal. EEMD is an improvement of the empirical mode decomposition (EMD) and reduces the modal aliasing phenomenon by adding white noise. Through EEMD, the sub-voltage signal is decomposed into different modal spaces to obtain several intrinsic mode function (IMF) components with different frequency scales. Since the decomposed IMF components may have different lengths, they need to be length-normalized to ensure that all IMF components have the same dimension in subsequent processing. The mean square error between the processed IMF components and the preset standard IMF components at the same time point is calculated. The preset standard IMF component can be an average or typical value obtained by decomposing a large number of normal signals. By comparing the mean square error with the preset threshold, the time points greater than the threshold are screened out, and these time points are considered to be noise points. The processed IMF components corresponding to the noise points are subjected to feature extraction, with the main focus on spectral features. Spectral features include power spectral density, spectral center frequency, bandwidth, and spectral entropy, which can reflect the characteristics of the signal in the frequency domain and help identify and process noise. According to the extracted spectral features, a preset data table is queried, which contains the optimal noise reduction coefficient or noise reduction strategy corresponding to different spectral features. According to the query results, the processed IMF components are subjected to noise reduction to reduce or eliminate the influence of noise. The processed IMF components after noise reduction are reconstructed to obtain the denoised sub-voltage signals. This process is to recombine the processed IMF components in the order of the original decomposition. Finally, all the denoised sub-voltage signals are fused to ensure the continuity and consistency between different sub-voltage signals. The whole process effectively removes the noise components in the voltage signal through advanced signal processing techniques such as EEMD decomposition, spectral feature extraction, and noise reduction, improves the signal-to-noise ratio and accuracy of the signal, and provides a more reliable foundation for subsequent data analysis and processing.

[0086] According to some embodiments of the present invention, the further comprising:

[0087] Detect the power of the EC independent power supply and compare it with the preset power threshold;

[0088] When it is determined that the power level is less than a preset power threshold, a charging reminder message is generated.

[0089] The working principle and beneficial effects of the above technical solution are as follows: the power of the EC independent power supply is continuously detected and compared with the preset power threshold; when it is determined that the power is less than the preset power threshold, a charging reminder message is generated to avoid the situation where the EC independent power supply is out of power and ensure the normal operation of the system.

[0090] According to some embodiments of the present invention, the further comprising:

[0091] During the EC independent power supply charging process, obtain charging information;

[0092] calculating the storage efficiency of the EC independent power source according to the charging information;

[0093]

[0094] Wherein, η is the storage efficiency of the EC independent power supply; U1 is the open circuit voltage of the EC independent power supply; R1 is the internal resistance of the EC independent power supply; R2 is the resistance in the power supply circuit where the EC independent power supply is located; U2 is the charging voltage when the EC independent power supply is charged; E is the electromotive force of the EC independent power supply; W1 is the remaining power of the EC independent power supply before charging; W2 is the power stored after the EC independent power supply is fully charged;

[0095] calculating a state of charge value of the EC independent power source according to a storage efficiency of the EC independent power source;

[0096]

[0097] Wherein, η1 is the charging state value of the EC independent power supply; I is the charging current when the EC independent power supply is charged; W3 is the power consumed by the EC independent power supply during the charging process;

[0098] The charging state value is compared with a preset charging state threshold value, and when it is determined that the charging state value is less than the preset charging state threshold value, an alarm prompt is issued.

[0099] The working principle and beneficial effects of the above technical solution are as follows: during the charging process of the EC independent power supply, the charging information is obtained; the storage efficiency of the EC independent power supply is calculated according to the charging information; the charging state value of the EC independent power supply is calculated according to the storage efficiency of the EC independent power supply; the charging state value is compared with the preset charging state threshold, and when it is determined that the charging state value is less than the preset charging state threshold, an alarm is issued. It is convenient to monitor the charging process of the EC independent power supply, and when an abnormality is determined, an alarm is issued in time, which is convenient for optimizing the charging process of the EC independent power supply and improving the utilization efficiency of energy.

[0100] like Figure 2 As shown, the second embodiment of the present invention provides an EC independent power supply monitoring system, including:

[0101] A first determination module, configured to read a rated power parameter of the EC independent power supply and determine a type of the EC independent power supply based on the rated power parameter;

[0102] A second determination module is used to determine an operating parameter threshold of the EC independent power supply according to the type of the EC independent power supply;

[0103] An acquisition module is used to acquire actual operating parameters of the EC independent power supply during the operation of the EC independent power supply;

[0104] The third determination module is used to compare the actual operating parameter with the operating parameter threshold, and determine whether to output power abnormality alarm information according to the comparison result.

[0105] The beneficial effects of the above technical solution are: realizing the monitoring of the EC independent power supply and accurately determining whether the EC independent power supply is abnormal, which can achieve more global optimization, improve the energy efficiency of the entire system, and meet the performance requirements under different workloads and task states.

[0106] To achieve the above-mentioned object, a third aspect of the present invention provides an EC independent power supply monitoring device, including the EC independent power supply monitoring system as described above.

[0107] To achieve the above objectives, the fourth aspect of the present invention proposes a storage medium, in which computer executable instructions are stored. When the computer executable instructions are loaded and executed by a processor, the steps of the EC independent power supply monitoring method as described above are implemented.

[0108] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An EC independent power supply monitoring method, characterized in that: include: Reading the rated power parameters of the EC independent power supply, and determining the type of the EC independent power supply based on the rated power parameters; Determine the operating parameter threshold of the EC independent power supply according to the type of the EC independent power supply; During the operation of the EC independent power supply, the actual operation parameters of the EC independent power supply are obtained; The actual operating parameters are compared with the operating parameter thresholds, and whether to output power abnormality alarm information is determined according to the comparison result.

2. The EC independent power supply monitoring method as claimed in claim 1, characterized in that: Before comparing the actual operating parameters with the operating parameter thresholds, it also includes: Identify abnormal data on actual operating parameters and determine abnormal data; Segmenting the abnormal data to obtain a plurality of sub-abnormal data; Extract features from several sub-abnormal data and determine the feature vector matrix; Matching the characteristic vector matrix with a preset characteristic vector matrix in a preset database to obtain standard data corresponding to the successfully matched preset characteristic vector matrix; Perform data segmentation on the standard data to obtain several sub-standard data; Each two adjacent sub-standard data in the plurality of sub-standard data are regarded as an association group, recorded as a first association group, and a first association relationship between two adjacent sub-standard data in the first association group is determined; Each two adjacent sub-abnormal data in the plurality of sub-abnormal data are regarded as an association group, recorded as a second association group, and a second association relationship between two adjacent sub-abnormal data in the second association group is determined; The second association relationship is corrected according to the first association relationship to obtain correction data, and then the final actual operating parameters are obtained.

3. The EC independent power supply monitoring method according to claim 1, characterized in that: The rated power supply parameters include rated voltage, rated current, rated power, efficiency, input voltage range and output voltage stability.

4. The EC independent power supply monitoring method according to claim 1, characterized in that: Acquiring actual operating parameters of the EC independent power supply includes acquiring an actual operating voltage signal of the EC independent power supply and performing noise reduction processing to obtain a target voltage signal.

5. The EC independent power supply monitoring method as claimed in claim 4, characterized in that: Obtaining the target voltage signal includes: The actual operating voltage signal is segmented to obtain a number of sub-voltage signals; Based on the ensemble empirical mode decomposition, the sub-voltage signal is decomposed into different modal spaces to obtain several IMF components with different frequency scales. Perform length standardization on IMF components of different frequency scales to obtain processed IMF components; Calculate the mean square error between the processed IMF component and the preset standard IMF component at the same time point; select the time point with the mean square error greater than the preset threshold as the noise point; Extracting features of processed IMF components corresponding to noise points to determine spectrum features; the spectrum features include power spectrum density, spectrum center frequency and bandwidth, and spectrum entropy; Query a preset data table according to the spectrum characteristics, determine a noise reduction coefficient, and perform noise reduction processing on the processed IMF component according to the noise reduction coefficient; The processed IMF components after denoising are reconstructed to obtain the denoised sub-voltage signals; the denoised sub-voltage signals are fused to obtain the target voltage signal.

6. The EC independent power supply monitoring method as claimed in claim 4, characterized in that: Also includes: Detect the power of the EC independent power supply and compare it with the preset power threshold; When it is determined that the power level is less than a preset power threshold, a charging reminder message is generated.

7. The EC independent power supply monitoring method as claimed in claim 6, characterized in that: Also includes: During the EC independent power supply charging process, obtain charging information; calculating the storage efficiency of the EC independent power source according to the charging information; Wherein, η is the storage efficiency of the EC independent power supply; U1 is the open circuit voltage of the EC independent power supply; R1 is the internal resistance of the EC independent power supply; R2 is the resistance in the power supply circuit where the EC independent power supply is located; U2 is the charging voltage when the EC independent power supply is charged; E is the electromotive force of the EC independent power supply; W1 is the remaining power of the EC independent power supply before charging; W2 is the power stored after the EC independent power supply is fully charged; calculating a state of charge value of the EC independent power source according to a storage efficiency of the EC independent power source; Wherein, η1 is the charging state value of the EC independent power supply; I is the charging current when the EC independent power supply is charged; W3 is the power consumed by the EC independent power supply during the charging process; The charging state value is compared with a preset charging state threshold value, and when it is determined that the charging state value is less than the preset charging state threshold value, an alarm prompt is issued.

8. An EC independent power supply monitoring system, characterized in that: include: A first determination module, configured to read a rated power parameter of the EC independent power supply and determine a type of the EC independent power supply based on the rated power parameter; A second determination module is used to determine an operating parameter threshold of the EC independent power supply according to the type of the EC independent power supply; An acquisition module is used to acquire actual operating parameters of the EC independent power supply during the operation of the EC independent power supply; The third determination module is used to compare the actual operating parameter with the operating parameter threshold, and determine whether to output power abnormality alarm information according to the comparison result.

9. An EC independent power supply monitoring device, characterized in that: Comprising the EC independent power supply monitoring system as described in claim 8.

10. A storage medium, characterized in that: The storage medium stores computer executable instructions, and when the computer executable instructions are loaded and executed by the processor, the steps of the EC independent power supply monitoring method as described in any one of claims 1 to 7 are implemented.

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