Automatic Parameter Compensation Device for Intelligent Fusion Terminal and Concentrator

Abstract

The present invention discloses an automatic parameter compensation device for an intelligent fusion terminal and a concentrator, comprising: an aging prediction model training module for generating an aging prediction model of a communication unit; a current data acquisition module for obtaining current data of the communication unit; an aging coefficient acquisition module for obtaining a first aging coefficient of the communication unit according to the current data; an aging degree acquisition module for inputting the current data into the aging prediction model of the communication unit to obtain initial aging degree data, and then obtaining actual aging degree data according to the first aging coefficient and the initial aging degree data; and an automatic compensation module for controlling a low-noise amplifier and a band-pass filter to perform corresponding compensation according to the actual aging degree data. The present invention can perform parameter compensation on signal decline and rising bit error rate caused by aging of the communication unit, and improve the accuracy and reliability of data transmission.

Description

Technical Field

[0001] The present invention relates to the field of power equipment, and particularly to an automatic parameter compensation device for intelligent fusion terminals and concentrators. Background Art

[0002] Intelligent fusion terminals (SFTs) and concentrators play different but complementary roles in the power system. Together, they form an "edge - aggregation" collaborative architecture to support the intelligent management of the distribution network and efficient data transmission. Intelligent fusion terminals are usually deployed on the user side or the distribution transformer side. As edge - computing devices, they integrate functions such as data acquisition, local control, and communication. For example, they are used in scenarios such as low - voltage distribution monitoring, distributed energy access (such as photovoltaic), and demand response. Concentrators belong to the intermediate - layer devices on the distribution side or the master - station side, responsible for aggregating data from multiple SFTs or intelligent meters and uploading it to the master - station system through remote communication (such as optical fiber, 4G / 5G). Concentrators are usually installed near the distribution room, sub - station area, or sub - station.

[0003] However, during the use of concentrators and intelligent fusion terminals, the problem of communication unit aging will occur. The aging of the communication unit has a significant impact on the operation stability, data reliability, and system efficiency of concentrators and intelligent fusion terminal devices. The main impacts include the decline of signal strength and the increase of bit error rate (BER) during data transmission. Among them, the decline of signal strength reduces the signal - to - noise ratio, greatly decreasing the reliability of data transmission; the increase of bit error rate leads to frequent re - transmissions, increasing communication latency and affecting real - time performance (such as the remote meter - reading data latency of power concentrators). Summary of the Invention

[0004] In view of the above - mentioned partial defects of the prior art, the technical problem to be solved by the present invention is to provide an automatic parameter compensation device for intelligent fusion terminals and concentrators, aiming to perform parameter compensation for signal decline and rising bit error rate caused by communication unit aging, and improve the accuracy and reliability of power data transmission.

[0005] To achieve the above object, the present invention provides an automatic parameter compensation device for intelligent fusion terminals and concentrators, which is used to perform parameter compensation on the communication units of intelligent fusion terminals and concentrators. The communication units are respectively connected to a low - noise amplifier and a band - pass filter. The automatic parameter compensation device module includes: an aging prediction model training module, a current data acquisition module, an aging coefficient acquisition module, an aging degree acquisition module, and an automatic compensation module;

[0006] The aging prediction model training module is used to obtain the first training data corresponding to the communication unit, and input the training data into the first training model for training to obtain the communication unit aging prediction model; wherein, the first training data includes environmental data and usage duration data as features, and aging degree data as labels, the aging degree data includes signal degradation degree and bit error rate, the training data are all data collected under the standard communication load rate, and the communication load rate is the communication volume per unit time;

[0007] The current data acquisition module is used to obtain the first environmental data, the first usage duration data and the total communication volume data of the communication unit to be compensated; according to the first usage duration data and the total communication volume data, obtain the current communication load rate of the communication unit;

[0008] The aging coefficient acquisition module is used to obtain the first aging coefficient of the communication unit according to the current communication load rate; wherein, the aging coefficient of the communication unit is positively correlated with the communication load rate, and the larger the communication load rate, the larger the aging coefficient;

[0009] The aging degree acquisition module inputs the first environmental data and the first usage duration data into the communication unit aging prediction model to obtain the initial aging degree data of the communication unit; according to the initial aging degree data and the first aging coefficient, obtain the actual aging degree data; wherein, the actual aging degree data includes the actual signal degradation degree and the actual bit error rate;

[0010] The automatic compensation module is used to control the amplification factor of the low-noise amplifier to compensate for the signal degradation of the communication unit according to the actual signal degradation degree; control the passband range of the band-pass filter to compensate for the bit error rate of the communication unit according to the actual bit error rate; wherein, the bit error rate of the communication unit is generated due to external signal interference and is affected by the distorted signal generated by the aging of the communication unit.

[0011] Optionally, the aging coefficient acquisition module includes: an aging coefficient function acquisition sub-module and an aging coefficient acquisition sub-module;

[0012] The aging coefficient function acquisition sub-module is used to compare the aging speeds of the communication unit corresponding to different communication load rates under the same other conditions to obtain the aging coefficient function; wherein, the aging coefficient function is a function in which the aging coefficient changes with the change of the communication load rate, and it is stipulated that the aging coefficient corresponding to the standard communication load rate is 1;

[0013] The aging coefficient acquisition sub-module is used to query the aging coefficient function according to the current communication load rate to obtain the first aging coefficient.

[0014] Optionally, the current data acquisition module is specifically configured to:

[0015] Obtain the first environmental data, the first usage duration data, and the total communication volume data of the communication unit to be compensated; divide the total communication volume data by the first usage duration data to obtain the current communication load rate.

[0016] Optionally, the environmental data includes at least one of temperature, humidity, PM value, and electromagnetic interference.

[0017] Optionally, the aging degree acquisition module is specifically configured to:

[0018] Input the first environmental data and the first usage duration data into the communication unit aging prediction model to obtain the initial signal degradation degree and the initial bit error rate of the communication unit; multiply the initial signal degradation degree and the initial bit error rate by the first aging coefficient respectively to obtain the actual signal degradation degree and the actual bit error rate.

[0019] Optionally, the automatic compensation module is specifically configured to:

[0020] Obtain the required first compensation magnification according to the actual signal degradation degree and the standard signal strength; control the amplification magnification of the low-noise amplifier to compensate for the signal degradation of the communication unit according to the first compensation magnification; wherein, the standard signal strength is the signal strength of the communication unit without aging, and the more the noise amplifier compensates, the more energy is consumed;

[0021] Obtain the required first passband range compensation according to the actual bit error rate; control the passband range of the band-pass filter to compensate for the bit error rate of the communication unit according to the first passband range compensation; wherein, the narrower the passband range, the more external signals can be filtered, the lower the bit error rate, and the more energy is consumed.

[0022] Optionally, the automatic parameter compensation device further includes: a communication unit replacement reminder module;

[0023] The communication unit replacement reminder module is used to issue a reminder to replace the communication unit in response to the actual aging degree data being greater than or equal to the limit aging standard data; wherein, at least one of the signal degradation degree and the bit error rate corresponding to the limit aging standard data is greater than the compensation threshold.

[0024] Optionally, the automatic parameter compensation device further includes: a device difference compensation unit;

[0025] The device difference compensation unit is used to obtain a difference compensation coefficient according to the loop characteristics of the communication unit; wherein, the loop characteristics of the communication unit are related to the aging speed of the communication unit, and the difference compensation coefficient is used to correct the actual aging degree data.

[0026] Advantages of the present invention: 1. The present invention obtains an aging prediction model of the communication unit through machine learning, which can preliminarily predict the aging of the communication unit and, in combination with the aging coefficient, achieve accurate prediction of the aging of the communication unit. Compared with the prior art, when evaluating the aging degree of the communication unit, the present invention does not need to collect additional data, and can achieve fast and relatively accurate judgment of the aging degree. 2. The present invention uses a low-noise amplifier and a band-pass filter to respectively perform parameter compensation on signal decay and rising bit error rate. The low-noise amplifier can compensate for signal attenuation, improve the signal-to-noise ratio, and thus strengthen the signal; the band-pass filter can filter out-of-band noise and reduce bit errors caused by interference. 3. The present invention combines the aging prediction result to control the noise amplifier and the band-pass filter to perform corresponding compensation, which can make the compensation parameters appropriate, that is, ensure that the compensation is not too small to ensure the safety and reliability of data transmission, and ensure that the compensation is not too large to cause waste of energy resources. 4. The present invention provides differential compensation according to the differences in the measurement loops of each main board of the communication unit, so as to make the prediction of the actual aging degree data more accurate, and thus improve the accuracy of compensation.

[0027] In summary, the present invention predicts the aging degree of the communication units of intelligent fusion terminals and concentrators through machine learning, and uses a low-noise amplifier and a band-pass filter to perform parameter compensation on signal decay and rising bit error rate caused by the aging of the communication units according to the aging degree, effectively improving the accuracy and reliability of power data transmission. Description of the Drawings

[0028] Figure 1 It is a schematic structural diagram of an automatic parameter compensation device for intelligent fusion terminals and concentrators provided by a specific embodiment of the present invention. Detailed Embodiments

[0029] The present invention discloses an automatic parameter compensation device for intelligent fusion terminals and concentrators. Those skilled in the art can draw on the content of this article and appropriately improve the technical details for implementation. It should be particularly noted that all similar substitutions and modifications are obvious to those skilled in the art, and they are all regarded as included in the present invention. The methods and applications of the present invention have been described through preferred embodiments, and those related can obviously make changes or appropriate changes and combinations to the methods and applications described herein without departing from the content, spirit and scope of the present invention to implement and apply the technology of the present invention.

[0030] Through research by the applicant, it is found that during the use of concentrators and intelligent fusion terminals, problems such as the aging of communication units may occur. The aging of communication units has a significant impact on the operating stability, data reliability, and system efficiency of concentrators and intelligent fusion terminal devices. The main impacts include the decline in signal strength and the increase in bit error rate (BER) during data transmission. Among them, the decline in signal strength reduces the signal-to-noise ratio, greatly decreasing the reliability of data transmission; the increase in bit error rate leads to frequent retransmissions, increasing communication latency and affecting real-time performance (such as the delay in remote meter reading data of power concentrators).

[0031] Therefore, the embodiments of the present invention provide an automatic parameter compensation device for intelligent fusion terminals and concentrators, which is used to perform parameter compensation on the communication units of intelligent fusion terminals and concentrators. The communication units are respectively connected to a low-noise amplifier and a band-pass filter, as Figure 1 shown. The automatic parameter compensation device module includes: an aging prediction model training module 101, a current data acquisition module 102, an aging coefficient acquisition module 103, an aging degree acquisition module 104, and an automatic compensation module 105;

[0032] The aging prediction model training module 101 is used to obtain the first training data corresponding to the communication unit, and input the training data into the first training model for training to obtain a communication unit aging prediction model; among them, the first training data includes environmental data and usage duration data as features and aging degree data as labels. The aging degree data includes signal decline degree and bit error rate. The training data are all data collected under the standard communication load rate, and the communication load rate is the communication volume per unit time;

[0033] The current data acquisition module 102 is used to obtain the first environmental data, the first usage duration data, and the total communication volume data of the communication unit to be compensated; according to the first usage duration data and the total communication volume data, obtain the current communication load rate of the communication unit;

[0034] The aging coefficient acquisition module 103 obtains the first aging coefficient of the communication unit according to the current communication load rate; among them, the aging coefficient of the communication unit is positively correlated with the communication load rate, and the greater the communication load rate, the greater the aging coefficient;

[0035] The aging degree acquisition module 104 inputs the first environmental data and the first usage duration data into the communication unit aging prediction model to obtain the initial aging degree data of the communication unit; according to the initial aging degree data and the first aging coefficient, obtain the actual aging degree data; among them, the actual aging degree data includes the actual signal decline degree and the actual bit error rate;

[0036] An automatic compensation module 105 is used to control the amplification factor of the low-noise amplifier to compensate for the signal degradation of the communication unit according to the actual signal degradation degree; and control the passband range of the band-pass filter to compensate for the bit error rate of the communication unit according to the actual bit error rate. Wherein, the bit error rate of the communication unit is affected by external signal interference and the distorted signals caused by the aging of the communication unit.

[0037] It should be noted that the embodiments of the present invention simultaneously adopt two technologies, namely, the communication unit aging prediction model and the aging coefficient, to increase the accuracy of aging degree prediction. In the actual scenario, the environmental factors are often relatively constant (even if they change, they are predictable), so the machine learning training model can be used to predict the impact of environmental factors on aging. However, the communication load rate changes in real time following the use of the concentrator and the intelligent fusion terminal. Therefore, it is difficult to generate a model through machine learning together with environmental factors. So the aging coefficient is used to represent the impact of the communication load rate on the aging of the communication unit. The embodiments of the present invention separate the two factors of change and non-change, increasing the accuracy of aging degree prediction for subsequent precise compensation.

[0038] In addition, the embodiments of the present invention can improve the security and accuracy of information transmission by compensating the corresponding parameters of signal degradation and the increase in bit error rate through the low-noise amplifier and the band-pass filter respectively. Moreover, the corresponding parameter compensation matches the target parameters to be compensated, avoiding resource waste caused by over-compensation. For example, if the amplification factor of the amplifier is too large, the improvement effect is the same but there is energy waste; another example is that if the passband range of the band-pass filter is narrowed too small, the filtering efficiency is almost the same, but the power consumption is much more, and the effort and return do not match.

[0039] In this specific embodiment, the aging coefficient acquisition module 103 includes: an aging coefficient function acquisition sub-module and an aging coefficient acquisition sub-module;

[0040] The aging coefficient function acquisition sub-module is used to compare the aging speeds of communication units corresponding to different communication load rates under the same other conditions to obtain the aging coefficient function. Wherein, the aging coefficient function is a function in which the aging coefficient changes with the communication load rate, and it is stipulated that the aging coefficient corresponding to the standard communication load rate is 1;

[0041] The aging coefficient acquisition sub-module is used to query the aging coefficient function according to the current communication load rate to obtain the first aging coefficient.

[0042] It should be noted that the standard communication load rate is a range of normal communication load rates. The first training data is the data collected under the standard communication load rate, which can effectively ensure that the aging degree data output by the communication unit aging prediction model is only affected by environmental factors. Therefore, it is stipulated that the aging coefficient corresponding to the standard communication load rate is 1. When the current communication load rate is greater than the standard communication load rate, it indicates that the communication unit frequently sends and receives data, and the aging speed is faster. Therefore, the aging coefficient corresponding to the standard communication load rate is greater than 1. When the current communication load rate is less than the standard communication load rate, it indicates that the communication unit sends and receives less data, and the aging speed is slower. Therefore, the aging coefficient corresponding to the standard communication load rate is less than 1.

[0043] In this specific embodiment, the current data acquisition module 102 is specifically configured to:

[0044] Obtain the first environmental data, the first usage duration data, and the total communication volume data of the communication unit to be compensated; divide the total communication volume data by the first usage duration data to obtain the current communication load rate.

[0045] It should be noted that the communication load rate is the communication volume of the communication unit per unit time. From the moment when the intelligent fusion terminal and the concentrator are installed, the communication load rate obtained by dividing the total communication volume data by the usage duration data can indicate whether it is frequently used.

[0046] In this specific embodiment, the environmental data includes at least one of temperature, humidity, PM value, and electromagnetic interference.

[0047] It should be noted that these environmental data will all affect the aging of the communication unit.

[0048] In this specific embodiment, the aging degree acquisition module 104 is specifically configured to:

[0049] Input the first environmental data and the first usage duration data into the communication unit aging prediction model to obtain the initial signal degradation degree and the initial bit error rate of the communication unit; multiply the initial signal degradation degree and the initial bit error rate by the first aging coefficient respectively to obtain the actual signal degradation degree and the actual bit error rate.

[0050] It should be noted that through this simple multiplication operation, the influence of the communication load rate on the aging degree can be intuitively seen.

[0051] In this specific embodiment, the automatic compensation module 105 is specifically configured to:

[0052] Obtain the required first compensation magnification according to the actual signal degradation degree and the standard signal strength; control the amplification magnification of the low-noise amplifier to compensate for the signal degradation of the communication unit according to the first compensation magnification; where the standard signal strength is the signal strength when the communication unit has not aged, and the more the noise amplifier compensates, the more energy is consumed;

[0053] According to the actual bit error rate, obtain the required first passband range compensation; according to the first passband range compensation, control the passband range of the band-pass filter to compensate the bit error rate of the communication unit; wherein, the narrower the passband range, the more external signals can be filtered, the lower the bit error rate, and the more energy is consumed.

[0054] It should be noted that the actually compensated parameters should match the parameters required for target compensation, so as to reduce resource waste while ensuring the effectiveness of compensation.

[0055] In this specific embodiment, the automatic parameter compensation device further includes: a communication unit replacement reminder module;

[0056] The communication unit replacement reminder module is used to issue a reminder to replace the communication unit in response to the actual aging degree data being greater than or equal to the limit aging standard data; wherein, at least one of the signal decay degree and the bit error rate corresponding to the limit aging standard data is greater than the compensation threshold.

[0057] It should be noted that when the compensation limit still cannot meet the impact of aging, in order to avoid abnormal communication, it is necessary to replace the communication unit in a timely manner. The embodiment of the present invention can issue an abnormality of the communication unit in a timely manner.

[0058] In this specific embodiment, the automatic parameter compensation device further includes: a device difference compensation unit;

[0059] The device difference compensation unit is used to obtain a difference compensation coefficient according to the loop characteristics of the communication unit; wherein, the loop characteristics of the communication unit are related to the aging speed of the communication unit, and the difference compensation coefficient is used to correct the actual aging degree data.

[0060] It should be noted that due to process differences, the loop characteristics of each communication unit will be slightly different. Therefore, compensating for this part can make the aging degree data more accurate and facilitate subsequent compensation.

[0061] The embodiment of the present invention obtains a communication unit aging prediction model through machine learning, can preliminarily predict the aging of the communication unit, and combines the aging coefficient to accurately predict the aging of the communication unit. Compared with the prior art, when evaluating the aging degree of the communication unit, the embodiment of the present invention does not need to collect additional data, and can achieve a fast and relatively accurate judgment of the aging degree.

[0062] The embodiment of the present invention performs parameter compensation on signal decay and rising bit error rate through a low-noise amplifier and a band-pass filter respectively. The low-noise amplifier can compensate for signal attenuation, improve the signal-to-noise ratio, and thus strengthen the signal; the band-pass filter can filter out-of-band noise and reduce errors caused by interference.

[0063] In the embodiment of the present invention, the noise amplifier and the band-pass filter are controlled in combination with the aging prediction result for corresponding compensation, so that the compensation parameters are appropriate, that is, it is ensured that the compensation is not too small to ensure the safety and reliability of data transmission, and it is also ensured that the compensation is not too large to cause waste of energy resources.

[0064] In the embodiment of the present invention, according to the differences in the measurement circuits of each main board of the communication unit, differential compensation is provided to make the prediction of the actual aging degree data more accurate, thereby improving the accuracy of compensation.

[0065] In summary, in the embodiment of the present invention, the aging degree of the communication units of the intelligent fusion terminal and the concentrator is predicted through machine learning, and according to the aging degree, the low-noise amplifier and the band-pass filter are used to perform parameter compensation on the signal decay and the increase in the bit error rate caused by the aging of the communication unit, effectively improving the accuracy and reliability of power data transmission.

[0066] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent in such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the element.

[0067] Each embodiment in this specification is described in a related manner. The same or similar parts between the embodiments can be referred to each other, and the differences between each embodiment and other embodiments are emphasized. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0068] The above is only a preferred embodiment of the present invention, and is not used to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.

Claims

1. An automatic parameter compensation device for an intelligent fusion terminal and a concentrator, characterized in that: Used to perform parameter compensation on the communication units of the intelligent fusion terminal and the concentrator, the communication units are respectively connected to the low noise amplifier and the bandpass filter, and the automatic parameter compensation device module includes: an aging prediction model training module, a current data acquisition module, an aging coefficient acquisition module, an aging degree acquisition module, and an automatic compensation module; The aging prediction model training module is used to obtain first training data corresponding to the communication unit, and input the training data into the first training model for training to obtain the communication unit aging prediction model; wherein the first training data includes environmental data and usage time data as features and aging degree data as labels, the aging degree data includes signal decay degree and bit error rate, and the training data are all data collected under a standard communication load rate, and the communication load rate is the communication volume per unit time; The current data acquisition module is used to obtain the first environment data, the first usage duration data and the total communication data of the communication unit to be compensated; and obtain the current communication load rate of the communication unit according to the first usage duration data and the total communication data; The aging coefficient obtaining module obtains a first aging coefficient of the communication unit according to the current communication load rate; wherein the aging coefficient of the communication unit is positively correlated with the communication load rate, and the greater the communication load rate, the greater the aging coefficient; The aging degree acquisition module inputs the first environment data and the first usage time data into the communication unit aging prediction model to obtain initial aging degree data of the communication unit; obtains actual aging degree data according to the initial aging degree data and the first aging coefficient; wherein the actual aging degree data includes actual signal decay degree and actual bit error rate; The automatic compensation module is used to control the amplification factor of the low-noise amplifier to compensate for the signal attenuation of the communication unit according to the actual signal attenuation degree; and to control the passband range of the bandpass filter to compensate for the bit error rate of the communication unit according to the actual bit error rate; wherein the bit error rate of the communication unit is caused by external signal interference and is affected by the distorted signal generated by aging of the communication unit.

2. The automatic parameter compensation device of the intelligent fusion terminal and concentrator according to claim 1 is characterized in that: The aging coefficient acquisition module includes: an aging coefficient function acquisition submodule and an aging coefficient acquisition submodule; The aging coefficient function acquisition submodule is used to compare the aging speed of the communication unit corresponding to different communication load rates under the same other conditions to obtain an aging coefficient function; wherein the aging coefficient function is a function in which the aging coefficient changes with the change of the communication load rate, and the aging coefficient corresponding to the standard communication load rate is specified to be 1; The aging coefficient obtaining submodule is used to query the aging coefficient function according to the current communication load rate to obtain the first aging coefficient.

3. The automatic parameter compensation device of the intelligent fusion terminal and concentrator according to claim 1, characterized in that: The current data acquisition module is specifically used for: The first environment data, the first usage duration data, and the total communication volume data of the communication unit to be compensated are obtained; and the total communication volume data is divided by the first usage duration data to obtain the current communication load rate.

4. The automatic parameter compensation device of the intelligent fusion terminal and concentrator according to claim 1, characterized in that: The environmental data includes at least one of temperature, humidity, PM value and electromagnetic interference.

5. The automatic parameter compensation device of the intelligent fusion terminal and concentrator according to claim 1, characterized in that: The aging degree obtaining module is specifically used for: Inputting the first environment data and the first usage time data into the communication unit aging prediction model to obtain the initial signal decay degree and initial bit error rate of the communication unit; The initial signal decay degree and the initial bit error rate are respectively multiplied by the first aging coefficient to obtain the actual signal decay degree and the actual bit error rate.

6. The automatic parameter compensation device of the intelligent fusion terminal and concentrator according to claim 1, characterized in that: The automatic compensation module is specifically used for: According to the actual signal attenuation degree and the standard signal strength, a required first compensation magnification is obtained; according to the first compensation magnification, the amplification magnification of the low noise amplifier is controlled to compensate for the signal attenuation of the communication unit; wherein the standard signal strength is the signal strength of the communication unit before aging, and the more the noise amplifier compensates, the more energy it consumes; According to the actual bit error rate, the required first passband range compensation is obtained; according to the first passband range compensation, the passband range of the bandpass filter is controlled to compensate for the bit error rate of the communication unit; wherein, the narrower the passband range, the more external signals can be filtered, the lower the bit error rate, and the more energy is consumed.

7. The automatic parameter compensation device of the intelligent fusion terminal and concentrator according to claim 1, characterized in that: The automatic parameter compensation device further comprises: a communication unit replacement reminder module; The communication unit replacement reminder module is used to issue a reminder to replace the communication unit in response to the actual aging degree data being greater than or equal to the extreme aging standard data; wherein at least one of the signal degradation degree and the bit error rate corresponding to the extreme aging standard data is greater than a compensation threshold.

8. The automatic parameter compensation device of the intelligent fusion terminal and concentrator according to claim 1, characterized in that: The automatic parameter compensation device further comprises: a device difference compensation unit; The device difference compensation unit is used to obtain a difference compensation coefficient according to the loop characteristics of the communication unit; wherein the loop characteristics of the communication unit are related to the aging speed of the communication unit, and the difference compensation coefficient is used to correct the actual aging degree data.

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