CN111565059A - Power network communication system and method thereof - Google Patents
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Abstract
A power network communication system comprising: power station, transmission, transformation, distribution, power network, communication network, router, filter, estimator, modem, signal comparator and server. The invention transmits the communication signal to the communication network by the router through the power network, obtains the states of the same input signal in different time periods in real time through the filter, and after continuously circularly correcting the input signal, not only can obtain a signal with low harmonic and low noise under the condition of extremely small deviation, but also reduces the error rate and the power loss of the whole system, thereby increasing the stability and the safety of power grid communication. And on the basis of using the filter as little as possible, a large number of algorithms are used for optimizing the signal transmission effect, and a new possibility is provided for saving engineering funds.
Description
Technical Field
The invention belongs to the technical field of power communication, and particularly relates to a network communication system and method based on a power line.
Background
The electric power system is an electric energy production and consumption system which consists of links of power generation, power transmission, power transformation, power distribution, power utilization and the like. The function of the device is to convert the primary energy of the nature into electric energy through a power generation device, and then supply the electric energy to each user through power transmission, power transformation and power distribution. In order to realize the function, the power system is also provided with corresponding information and control systems at each link and different levels, and the production process of the electric energy is measured, regulated, controlled, protected, communicated and scheduled so as to ensure that users obtain safe, economic and high-quality electric energy. All the constituent elements of the system are in a state of performing their functions. The basic requirement of an electrical power system is to ensure a safe and reliable supply of quality, inexpensive electrical energy to the consumer. The planning, design and engineering of the power system provides the material conditions necessary to achieve the above requirements, but the final implementation depends on the operation of the power system. Practice has shown that power systems with good material conditions can also have serious consequences due to operational errors.
A communication system is a generic term for a technical system for performing an information transmission process. Modern communication systems are implemented primarily by means of propagation of electromagnetic waves in free space, known as wireless communication systems, or transmission mechanisms in a guided medium, known as wired communication systems. Systems for transmitting information by electrical (or optical) signals are also known as telecommunication systems. A system is usually an organic whole consisting of several units with specific functions, interactions and interdependencies, which fulfill a unified goal. The simplest communication system provides for users at two points to send and receive information to each other. In a typical communication system, a user may communicate with other users in the system through a switching device. The quality of a communication system is mainly measured by the effectiveness and reliability. I.e. the more efficient and reliable a communication system is, the better it is. In practice, effectiveness and reliability are a pair of contradictory indexes, and a certain compromise is needed between the two indexes. The effectiveness refers to the rate of information transmission, and the faster the rate of information transmission, the better the effectiveness. However, the information transmission is fast, the higher the error probability is, the transmission quality of the information cannot be guaranteed, that is, the reliability is reduced.
In order to safely generate and supply power, reasonably distribute electric energy, ensure power quality indexes, and timely treat and prevent system accidents, a power system needs to be managed in a centralized manner and scheduled in a unified manner, and a communication system suitable for the power system is established. Therefore, the communication of the power system is an indispensable important component of the power system, is the basis of realizing the scheduling automation and management modernization of the power grid, is an important technical means for ensuring the safety and economic scheduling of the power grid, is mainly established for information transmission and exchange required by the operation, maintenance and management of the power system, and particularly needs to establish a special communication network adaptive to the safe operation of the power system because the power system is continuously and suddenly changed in operation state, and the power scheduling communication is required to be highly reliable and the transmission time is very quick.
However, harmonic voltage or harmonic current in the power grid can increase additional loss of power system equipment, cause the problems of measurement and automatic control instrument failure and the like, affect the use efficiency of the equipment, and possibly cause fire due to overheating of a line in serious cases.
Therefore, the prior art has the following problems: the effectiveness refers to the rate of information transmission, and the faster the rate of information transmission, the better the effectiveness. However, the information transmission is fast, the higher the error probability is, the transmission quality of the information cannot be guaranteed, that is, the reliability is reduced. Harmonic voltage or harmonic current in a network can increase additional loss of power system equipment, so that the problems of measurement and automatic control instrument failure and the like are caused, the use efficiency of the equipment is influenced, and a fire disaster can be caused by overheating of a line in serious cases. If a large number of filters are used to solve the above problems or the engineering is large, not only limited space is wasted, but also a large amount of money is consumed.
Disclosure of Invention
In view of the above, the main objective of the present invention is to provide a network communication system, method and device based on power line, which have the following advantages: the anti-interference capability and the denoising effect are better; the method has the advantages that while the power network communication system device is simplified, the original signals can be obtained as much as possible, and the signal deviation is reduced; the electric energy loss of the power grid is extremely low, and the safety and the stability of the system are improved. The complicated communication system device and the signal processing device are simplified through the algorithm, and the possibility of reducing economic expenditure is provided.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a power network communication system, the system comprising: the system comprises a power station, power transmission, power transformation, power distribution, a power network, a communication network, a router, a filter, an estimator, a modem, a signal comparator and a server side; the power transmission is arranged between the power station and the power transformation and is used for connecting the power station and the power transformation; the power transformation is after power distribution; the power network comprises power transmission, power transformation and power distribution; the router is arranged between the power network and the communication network, is connected with the power network and the communication network, and ensures that the two networks are mutually communicated; a filter is arranged between the communication network and the estimator, the filter is connected with the communication network and the estimator, so that a received signal becomes an original signal, and the estimator can estimate a reasonable deviation signal after multiple times of filtering; a signal comparator is arranged between the filter and the modem, is connected with the filter and the modem, is compared with the estimation range in real time and is fed back to the filter; and a modem is arranged between the signal comparator and the service end, is connected with the signal comparator and the service end, and modulates and demodulates the transmitted signals.
The filter establishes a system voltage model, and reduces filtering error accumulation by adopting a relative signal stabilization algorithm to obtain an output signal estimation formula; the signal comparator is used for obtaining a certain allowable deviation by comparing the error signal with the filtering average value and determining the final output of the signal; the estimator adopts a weighted average method to calculate, and further generates a decision coefficient, so as to carry out signal estimation; after the filter carries out filtering through cyclic comparison estimation, the insertion loss and the signal-to-noise ratio are reduced and noise interference is greatly reduced by repeatedly calculating the insertion loss, the signal-to-noise ratio and the signal error rate of the filter, updating the filtering error of the filter in real time, accumulating the estimation amount and reducing the error accumulation; the estimator determines coefficients and estimates the signal, and adjusts for unstable signals, thereby stabilizing the system signal output.
Further, after the communication network transmits the filter, the filter performs filtering, and a filter voltage statistical model is established according to the following formula:
obtaining voltage values, k 1,2, n, of the power network for each phase; u shapexA phase voltage value, x ═ 1, 2.., n; u shapeiRepresenting the total voltage of internal impedance of each part; v represents the harmonic voltage, its range:
further, the insertion loss is generated by the following formula
B (t) is an output signal,
is an input signal, and the loss of energy or gain of the system can be known according to the insertion loss. The formula for the signal-to-noise ratio:
wherein W is the width of the channel (in Hz); the S is the average power of the transmitted signal in the channel; and N is the Gaussian noise power inside the channel.
Further, a relative signal stabilization algorithm is adopted to update the filtering error in real time, wherein the recursion is as follows:
In＝1-nIn-1,(n＝1,2,...)，
refers to the input signal; the method avoids the subtraction of two similar data, reduces the operation times, has small error accumulation and ensures that the final signal is stably output. Estimation of the filter integral:
Xnexpressed as constant integral filter coefficients, and within a certain range, when n reaches a certain number, a rough estimate can be estimated and compared with the error signal e (t) of the filter, and the desired output of the system:
d (t) is the system output signal, the error signal e (t) of the adaptive filter,
is the system input signal. Wherein, the weighted average comparison value:
i is the number of weightings; the value of each pass of the filter is compared with
And comparing to obtain deviation amount, and testing to obtain a certain allowable deviation. The comparison is substantially complete, but in order to prevent an infinite number of comparisons without yielding an output signal, a reasonably near-sighted filtered signal can be obtained by using a limited number of estimates, filter simulation coefficients, and different real-time signals, and adding the following formula. The filter device is designed by combining the characteristics of a power network and a communication network, the access signal can be estimated by using a simplified formula, and experimental study is carried out on the input and output signals at two ends until the given signal estimation formula is better in accordance with the experimental result.
Further, a decision coefficient is calculated by adopting a weighted average method:
wherein f ismRepresenting the maximum sample, pmThe weight occupied by each filtering signal is set in different ranges according to different systems, and the range is 0 to 1. Further, a signal estimate is obtained:
where α (T) is the signal estimate, ω is the signal frequency, TiAre the coefficients of the filter. Research results show that the estimated signal can be taken as an ideal output signal, and the subsequent signal modulation and demodulation are facilitated. And in a limited estimation mode, the reasonable filtering signal of the myopia is obtained by using the formula and through the filter simulation coefficient and different real-time signals.
Furthermore, the size of the antenna is reduced for facilitating wireless transmission; the communication capacity is improved, and different requirements of a user side are met; the anti-interference capability of the signal is improved, and an appropriate modulation mode must be carried out on the input signal in real time. Modulated signal: v is Vcos(ωct+mfsin Ω t), said mfIs the modulation amplitude, omega is the modulation frequency, omegacIs the input signal frequency; the angular frequency of the modulated wave is obtained by the high-frequency carrier wave and the modulation signal: omega-omegac+kfVΩcos Ω t, said kfIs the amplitude modulation factor; phase angle of frequency modulated wave at any time:
the frequency-modulated wave is therefore:
from the modulated angular frequency, the maximum shift of the angular frequency is: k is a radical offVΩcos Ω t; let omegad＝kfVΩcos Ω t, the frequency modulation index:
the omegadIs the modulation frequency of the frequency-modulated signal, said VΩIs the modulation amplitude of the modulated signal; so the modulated frequency wave forms: v ═ Vcos (ω)ct+mfsinΩt)。
Further, demodulation is the process of recovering a message from a modulated signal carrying information, which is the inverse of modulation. In various information transmission or processing systems, a transmitting end modulates a carrier wave with a message to be transmitted, generating a signal carrying the message. The receiving end must recover the transmitted message for use, which is demodulation.
The power network communication system and the method thereof have the following beneficial effects: the invention transmits the communication signal to the communication network by the router through the power network, obtains the states of the same input signal in different time periods in real time through the filter, and after continuously circularly correcting the input signal, not only can obtain a signal with low harmonic and low noise under the condition of extremely small deviation, but also reduces the error rate and the power loss of the whole system, thereby increasing the stability and the safety of power grid communication. And on the basis of using the filter as little as possible, a large number of algorithms are used for optimizing the signal transmission effect, and a new possibility is provided for saving engineering funds.
Drawings
Fig. 1 is a schematic structural diagram of a power network communication system according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a communication method of the power network communication system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the raw signal that is not processed by any system;
FIG. 4 is a schematic diagram of the output signal obtained after processing according to the prior art;
fig. 5 is a schematic diagram of an output signal processed by the power network communication system and method according to the embodiment of the invention;
fig. 6 is a schematic diagram illustrating the comparison test effect between the signal error rate and the signal-to-noise ratio of the power network communication system provided by the embodiment of the present invention and the signal error rate and the signal-to-noise ratio of the communication system in the prior art.
Wherein, the red line represents the experimental curve of the signal error rate and the signal-to-noise ratio of the invention, and the blue line represents the experimental curve of the signal error rate and the signal-to-noise ratio of the prior art.
As shown in fig. 3, which shows the original signal that is not processed by any system, the resulting signal obtained after the prior art processing is shown in fig. 4, and still has partial noise; the output signals obtained by processing the power network communication system and the device provided by the embodiment of the invention are as shown in fig. 5, so that the signals are more stable and clear. As shown in fig. 6, under the condition of the same input signal and the same message error rate, the signal-to-noise ratio corresponding to the red line is always greater than that corresponding to the blue line, which illustrates that the signal-to-noise ratio of the processed signal of the present invention is higher than that of the processed signal of the prior art.
Detailed Description
A power network communication system, the system comprising: the system comprises a power station, power transmission, power transformation, power distribution, a power network, a communication network, a router, a filter, an estimator, a modem, a signal comparator and a server side; the power transmission is arranged between the power station and the power transformation and is used for connecting the power station and the power transformation; the power transformation is after power distribution; the power network comprises power transmission, power transformation and power distribution; the router is arranged between the power network and the communication network, is connected with the power network and the communication network, and ensures that the two networks are mutually communicated; a filter is arranged between the communication network and the estimator, the filter is connected with the communication network and the estimator, so that a received signal becomes an original signal, and the estimator can estimate a reasonable deviation signal after multiple times of filtering; a signal comparator is arranged between the filter and the modem, is connected with the filter and the modem, is compared with the estimation range in real time and is fed back to the filter; and a modem is arranged between the signal comparator and the service end, is connected with the signal comparator and the service end, and modulates and demodulates the transmitted signals.
On the basis of the above embodiment, after the communication network enters the filter, the filter performs filtering, and a filter model is established by the following formula:
obtaining voltage values, k 1,2, n, of the power network for each phase; u shapexA phase voltage value, x ═ 1, 2.., n; u shapeiRepresenting the total voltage of internal impedance of each part; v represents the harmonic voltage, its range:
further, the insertion loss is generated by the following formula
B (t) is the output signal, b (t) is the input signal, and the loss of energy or gain of the system can be known from the insertion loss. The formula for the signal-to-noise ratio:
wherein W is the width of the channel (in Hz); the S is the average power of the transmitted signal in the channel; and N is the Gaussian noise power inside the channel.
Based on the above embodiment, the algorithm is stabilized by using relative signalsUpdating the filtering error in real time, wherein the recursion is as follows:
the subtraction of two similar data is avoided, the operation times are reduced, and the error accumulation is small. Estimation of the filter integral:
expressed as constant integral filter coefficients, with a certain range, when n reaches a certain number, a rough estimate can be estimated and used for comparison. Wherein, the weighted average comparison value:
the value of each pass of the filter is compared with
And comparing to obtain deviation amount, and testing to obtain a certain allowable deviation. The comparison is substantially complete, but in order to prevent an infinite number of comparisons without yielding an output signal, a reasonably near-sighted filtered signal can be obtained by using a limited number of estimates, filter simulation coefficients, and different real-time signals, and adding the following formula.
On the basis of the above embodiment, further, the decision coefficient is calculated by using a weighted average method:
wherein f ismRepresenting the maximum sample, pmThe weight occupied by each filtering signal is set in different ranges according to different systems, and the range is 0 to 1. Further, a signal estimate is obtained:
where α (T) is the signal estimate, ω is the signal frequency, TiAre the coefficients of the filter.
The loop comparison filtering estimation system provided by the case can be used for a power network communication system, and after input signals are continuously and circularly corrected, low-harmonic and low-noise signals can be obtained under the condition of extremely small deviation, the error rate is reduced, the power loss of the whole system is reduced, and therefore the stability and the safety of power grid communication are improved. And on the basis of using the filter as little as possible, a large number of algorithms are used for optimizing the signal transmission effect, and a new possibility is provided for saving engineering funds.
First, power requires a highly secure and stable control system, an automated monitoring system, and a highly modern communication system. Secondly, the main structure and the service types of the power communication system are as follows: the communication mechanism, the communication service and the communication equipment are mainly divided, wherein the communication equipment is effectively simplified, and great breakthrough is brought to economic support. The power grid has very important position and value in the society of modern information era, but the economy and reliability of the power grid operation are continuously improved, the advantages of the power grid are exerted, and the power grid is fully suitable for the era of information development at present.
The system adopts an active filter, is a novel power electronic device for dynamically inhibiting harmonic waves and compensating reactive power, and can compensate the harmonic waves with variable sizes and frequencies and the reactive power. The active filter is called as active, and the device needs to provide a power supply (for compensating the harmonic of the main circuit) as the name suggests, so that the application of the active filter can overcome the defects of the traditional harmonic suppression and reactive compensation methods (the traditional method can only realize fixed compensation) such as an LC filter and the like, realize dynamic tracking compensation, and can supplement both harmonic and reactive power. The working principle is as follows: the compensation circuit consists of two main parts, namely an instruction current arithmetic circuit and a compensation current generating circuit. The instruction current operation circuit monitors the current in a line in real time, converts an analog current signal into a digital signal, sends the digital signal into a high-speed Digital Signal Processor (DSP) to process the signal, separates harmonic waves from fundamental waves, sends a driving pulse to the compensation current generation circuit in a Pulse Width Modulation (PWM) signal form, drives an IGBT (insulated gate bipolar translator) or IPM (intelligent power module) power module, generates compensation current with the same amplitude and opposite polarity as the harmonic current of the power grid, injects the compensation current into the power grid, compensates or counteracts the harmonic current, and actively eliminates power harmonic waves. However, the active filter is high in cost and limited by hardware, and cannot be used in a large number of occasions, wherein the active filter capacity is not more than 100KVA, and the highest applicable power grid voltage is not more than 690V at present.
Those of skill in the art would further appreciate that the various illustrative modules, method steps, and modules described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that programs corresponding to the software modules, method steps may be located in random access memories, read only memories, electrically programmable, electrically erasable and programmable, registers, hard disks, removable disks, etc., and any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing or implying a particular order or sequence.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The above description is only an embodiment of the present invention, but not intended to limit the scope of the present invention, and any structural changes made according to the present invention should be considered as being limited within the scope of the present invention without departing from the spirit of the present invention.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (8)
1. A power network communication system, the system comprising: the system comprises a power station, power transmission, power transformation, power distribution, a power network, a communication network, a router, a filter, an estimator, a modem, a signal comparator and a server side;
the estimator estimates a reasonable deviation signal after multiple filtering;
a signal comparator is arranged between the filter and the modem, is connected with the filter and the modem, is compared with the estimation range in real time and is fed back to the filter;
the filter establishes a system voltage model, and reduces filtering error accumulation by adopting a relative signal stabilization algorithm to obtain an output signal estimation formula; the signal comparator is used for obtaining a certain allowable deviation by comparing the error signal with the filtering average value and determining the final output of the signal; the estimator adopts a weighted average method to calculate, and further generates a decision coefficient, thereby carrying out signal estimation.
2. The power network communication system of claim 1, wherein the filter filters the incoming communication network signal and establishes a statistical model of the filter voltage by the following equation:
Uxa phase voltage value, x ═ 1, 2.., n;Uirepresenting the total voltage of internal impedance of each part; v represents the harmonic voltage, its range:
further, the insertion loss is generated by the following formula
B (t) is an output signal,
is an input signal, and the loss of energy or gain of the system can be known according to the insertion loss; the formula for the signal-to-noise ratio:
wherein, W is the width of the channel, Hz is the unit, S is the average power of the signal transmitted in the channel, and N is the gaussian noise power inside the channel.
3. The power network communication system of claim 2, wherein the filtering error is updated in real time using a relative signal stabilization algorithm, wherein the recursive formula:
In＝1-nIn-1,(n＝1,2,...)，
refers to the input signal; the subtraction of two similar data is avoided, the operation times are reduced, the error accumulation is small, and the final signal is stably output; estimation of the filter integral:
Xnexpressed as constant integral filter coefficients, and within a certain range, when n reaches a certain number, a rough estimate can be estimated and compared with the error signal e (t) of the filter, and the desired output of the system:
d (t) is the system output signal, the error signal e (t) of the adaptive filter,
is the system input signal; wherein, the weighted average comparison value:
i is the number of weightings; the value of each pass of the filter is compared with
And comparing to obtain deviation amount, and testing to obtain a certain allowable deviation.
4. The power network communication system according to claim 3, wherein the decision coefficient is calculated by a weighted average method:
wherein f ismRepresenting the maximum sample, pmThe method is characterized in that each time the filtering signal occupies the weight, the setting of the weight needs to be in different ranges according to different systems, and the range is 0 to 1; further, a signal estimate is obtained:
where α (T) is the signal estimate, ω is the signal frequency, TiIs the coefficient of the filter; research results show that the estimated signal can be taken as an ideal output signal, and the subsequent signal modulation and demodulation are facilitated; the method of limit estimation, and the above formula, through filter simulation coefficient, with different real-time signalsAnd obtaining a reasonable filtering signal for myopia.
5. A communication method based on the power network communication system of any one of claims 1 to 4, characterized in that in the filter, a system voltage model is established, and a relative signal stabilization algorithm is adopted to reduce the accumulation of filtering errors and obtain an output signal estimation formula; in the signal comparator, a certain allowable deviation is obtained by comparing the error signal with the filtering average value, and the final output of the signal is determined; in the estimator, a weighted average method is adopted for calculation, and further a decision coefficient is generated, so that signal estimation is carried out; the estimator estimates a reasonable deviation signal after multiple filtering; and a signal comparator is arranged between the filter and the modem, is connected with the filter and the modem, and is compared with the estimation range in real time and fed back to the filter.
6. The method of claim 5, wherein the filter performs filtering after the communication network transmits the filter, and the filter voltage statistical model is established by the following formula:
Uxa phase voltage value, x ═ 1, 2.., n; u shapeiRepresenting the total voltage of internal impedance of each part; v represents the harmonic voltage, its range:
further, the insertion loss is generated by the following formula
B (t) is an output signal,
is an input signal, and the loss of energy or gain of the system can be known according to the insertion loss; the formula for the signal-to-noise ratio:
wherein, W is the width of the channel and is in Hz; the S is the average power of the transmitted signal in the channel; and N is the Gaussian noise power inside the channel.
7. The method of claim 6, wherein the filtering error is updated in real-time using a relative signal stabilization algorithm, wherein the recursive:
In＝1-nIn-1,(n＝1,2,...)，
refers to the input signal; the subtraction of two similar data is avoided, the operation times are reduced, and the error accumulation is small; estimation of the filter integral:
expressed as constant integral filter coefficients, with a certain range, when n reaches a certain number, a rough estimate can be estimated and compared with the error signal e (t) of the filter, the desired output of the system:
d (t) is the system output signal, the error signal e (t) of the adaptive filter,
is the system input signal; wherein, the weighted average comparison value:
i is the number of weightings; the value of each pass of the filter is compared with
And comparing to obtain deviation amount, and testing to obtain a certain allowable deviation.
8. The method of claim 7, wherein the decision coefficient is calculated using a weighted average method:
wherein f ismRepresenting the maximum sample, pmThe method is characterized in that each time the filtering signal occupies the weight, the setting of the weight needs to be in different ranges according to different systems, and the range is 0 to 1; further, a signal estimate is obtained:
where α (T) is the signal estimate, ω is the signal frequency, TiIs the coefficient of the filter; research results show that the estimated signal can be taken as an ideal output signal, and the subsequent signal modulation and demodulation are facilitated; and in a limited estimation mode, the reasonable filtering signal of the myopia is obtained by using the formula and through the filter simulation coefficient and different real-time signals.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115236450A (en) * | 2022-06-09 | 2022-10-25 | 深圳供电局有限公司 | Filter loss detection method, device, computer equipment, storage medium |
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| CN103647580A (en) * | 2008-06-06 | 2014-03-19 | 马克西姆综合产品公司 | Jammer canceller for power-line communication |
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| US20050226315A1 (en) * | 2004-04-13 | 2005-10-13 | Kuang-Yu Yen | Method and apparatus for tuning equalizer |
| CN103647580A (en) * | 2008-06-06 | 2014-03-19 | 马克西姆综合产品公司 | Jammer canceller for power-line communication |
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| CN115236450A (en) * | 2022-06-09 | 2022-10-25 | 深圳供电局有限公司 | Filter loss detection method, device, computer equipment, storage medium |
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