Anti-interference method and system for power data acquisition communication equipment

Abstract

The invention discloses an anti-interference method for electric power data acquisition communication equipment, which comprises the following steps of: constructing an electricity utilization information transmission network, setting electricity utilization acquisition nodes, and acquiring electricity utilization information of the electricity utilization acquisition nodes through the electricity utilization information transmission network to obtain electricity utilization acquisition information; continuously detecting the collected signal power to judge whether the network is interfered, if the network is interfered, extracting various characteristics of an interference signal from a time domain and a frequency domain, and realizing identification of an interference type by using a support vector machine model; the communication error rate is calculated by cognizing the type, power and frequency band parameters of interference suffered by current communication, interference offset and spectrum spreading are selected according to the type and number of the interference, and the error rate is reduced, the invention further discloses a corresponding system, and belongs to the technical field of electric power data acquisition. A more reliable technical guarantee is provided for electric power information acquisition and transmission in an intelligent power grid, and the acquisition and transmission efficiency of the electric power information can be optimized.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power data collection, and in particular relates to an anti-interference method and system for electric power data collection communication equipment. Background Art

[0002] With the in-depth advancement of smart grid construction, the efficient collection and reliable transmission of power information has become one of the key technologies to ensure the stable operation of the power grid and optimize resource allocation. However, due to the special working environment of power equipment and the existence of various interference sources, power data acquisition and communication equipment faces severe anti-interference challenges. Strong interference signals may cause the collected signals to attenuate or distort, affecting the reliability and accuracy of the data, especially in long-distance data transmission, the attenuation effect is more obvious. Power data acquisition systems often need to acquire and transmit data in real time, and interference may cause transmission delays or packet loss, affecting the real-time and accuracy of the system. In order to improve the anti-interference ability of power data acquisition and communication equipment, it is necessary to study intelligent anti-interference methods and systems for power data acquisition and communication equipment. Summary of the invention

[0003] Purpose of the invention: The present invention makes improvements to the problems existing in the above-mentioned prior art, that is, the present invention discloses an anti-interference method and system for electric power data acquisition communication equipment, which is used to solve the problems that signal transmission is susceptible to interference during the communication process of current electric power information acquisition equipment, data acquisition accuracy and real-time performance are insufficient, and the communication system has low anti-interference ability.

[0004] To achieve the above object, the present invention adopts the following technical solutions: In a first aspect, an anti-interference method for electric power data acquisition communication equipment comprises the following steps: S1 builds an electricity consumption information transmission network, sets electricity consumption collection nodes, collects electricity consumption information from the electricity consumption collection nodes through the electricity consumption information transmission network, and obtains electricity consumption collection information; S2 continuously detects the collected signal power to determine whether the network is interfered with. If so, it extracts multiple features of the interference signal from the time domain and frequency domain, and uses the support vector machine model to identify the interference type. S3 calculates the communication bit error rate by understanding the type, power, and frequency band parameters of the interference encountered by the current communication, and selects interference cancellation and spectrum expansion to reduce the bit error rate based on the type and amount of interference.

[0005] Preferably, the step S1 specifically includes: S11 constructs an electricity consumption information transmission network, wherein the electricity consumption information transmission network includes a plurality of signal collection and transmission channels; S12 obtains historical electricity consumption information, builds an electricity consumption collection network based on the historical electricity consumption information, and determines electricity consumption collection nodes in the electricity consumption collection network; S13: marking the collection nodes in the power consumption information transmission network according to the connection relationship between the power consumption collection nodes and the channels in the power consumption information transmission network, and obtaining the collection marking nodes; S14 obtains a preset collection channel of a corresponding collection and marking node in the power consumption information transmission network, collects power consumption information from the collection and marking node, and obtains power consumption collection information.

[0006] Preferably, the step S2 specifically includes: S21 continuously detects the signal power collected in the power information transmission network to determine whether the communication system is interfered; S22, when it is confirmed that there is interference in the communication, extracting multiple features of the interference signal from the time domain and the frequency domain; S23 sends these features of the interference signal to the trained support vector machine model to achieve high-accuracy identification of the interference type; S24 estimates the center frequency, bandwidth, and symbol rate of the interference signal.

[0007] Preferably, the step S3 specifically includes: S31 obtains signal parameters according to the real-time interference detection and interference identification results, including the operating frequency and power of the signal and the parameters of the interference signal; S32 uses the above parameters to calculate the bit error rate, evaluate the impact of interference on communication performance, and determine whether the bit error rate requirements are met based on the indicators; If S33 meets the requirements, it is the best anti-interference state; if it does not meet the requirements, it makes decision adjustments based on historical experience in the decision database and different interference parameters, including interference cancellation, spectrum expansion, and modification of the current communication system state to reduce the bit error rate; S34 updates the communication signal parameters and re-determines whether the bit error rate requirement is met; S35 finally saves the interference parameters and the decision adjustment process into the decision library.

[0008] The second aspect is the anti-interference system for power data acquisition and communication equipment, including: A network construction and collection module is configured to: construct an electricity consumption information transmission network, construct an electricity consumption network according to historical electricity consumption information, set electricity consumption collection nodes according to the electricity consumption network information, collect electricity consumption information from the electricity consumption collection nodes through the electricity consumption information transmission network, and obtain electricity consumption collection information; An interference identification module is configured to: continuously detect the signal power collected in the heterogeneous network to determine whether the communication system is subject to interference, and when it is confirmed that there is interference in the communication, extract multiple features of the interference signal from the time domain and frequency domain, and send these features of the interference signal to the trained support vector machine model to achieve high-accuracy identification of the interference type; and The anti-interference module is configured as follows: by recognizing the type, power, and frequency band of the interference suffered by the current communication, the communication bit error rate is calculated, and according to the type and number of interference, interference cancellation, spectrum expansion, and modification of the current communication system state are selected to reduce the bit error rate.

[0009] Preferably, the network construction acquisition module includes: The power consumption information transmission network construction module is configured to: construct a power consumption information transmission network, wherein the power consumption information transmission network includes a plurality of signal collection and transmission channels; A power consumption network construction module is configured to: obtain historical power consumption information, construct a power consumption collection network based on the historical power consumption information, and determine power consumption collection nodes in the power consumption collection network; The node marking module is configured to: mark the collection nodes in the power consumption information transmission network according to the connection relationship between the power consumption collection nodes and each channel in the power consumption information transmission network, and obtain the collection marking nodes; The power consumption collection module is configured to obtain a preset collection channel of a corresponding collection and marking node in the power consumption information transmission network, collect power consumption information from the collection and marking node, and obtain power consumption collection information.

[0010] Preferably, the interference identification module includes: A signal preprocessing module, which is configured to filter and denoise the signals collected in the heterogeneous network; The interference detection module is configured to: determine in real time whether the communication system is subject to interference by analyzing signal power changes and statistical characteristic parameters; A feature extraction module is configured to extract key features of interference signals from the time domain and the frequency domain; The interference identification module is configured to classify interference types by using the extracted signal features through a support vector machine model.

[0011] Preferably, the anti-interference module includes: The communication performance evaluation module is configured to calculate the bit error rate and throughput of the communication system according to the interference parameters and evaluate the current communication quality; The anti-interference algorithm module is configured to provide targeted solutions for the communication system based on the current cognitive results of the interference type, power, and frequency band, including adjusting the used frequency band, interference offset, or adjusting the transmission power.

[0012] Beneficial effects: In the present invention, an electricity consumption information transmission network is constructed, electricity consumption collection nodes are set, electricity consumption information is collected from the electricity consumption collection nodes through the electricity consumption information transmission network, interference identification and anti-interference mechanisms are introduced, and possible external interference sources are identified by monitoring channel status information and signal quality indicators. In combination with artificial intelligence methods, interference types are classified and analyzed. On the basis of identifying interference, anti-interference technology based on interference parameter cognition is adopted to effectively reduce the impact of interference on the collection and transmission of electricity consumption information, thereby providing a more reliable technical guarantee for the collection and transmission of power information in smart grids and optimizing the efficiency of power information collection and transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 is a flow chart of the present invention; Figure 2 It is a schematic diagram of the principle of the present invention. DETAILED DESCRIPTION

[0014] The specific embodiments of the present invention are described in detail below.

[0015] The "range" disclosed in the present invention is defined in the form of a lower limit and an upper limit, and a given range is defined by selecting a lower limit and an upper limit, and the selected lower limit and upper limit define the boundaries of the particular range. The range defined in this way can be inclusive or exclusive of the end values, and can be arbitrarily combined, that is, any lower limit can be combined with any upper limit to form a range. For example, if a range of 10 to 50 is listed for a specific parameter, it is understood that the range of 10 to 40 and 20 to 50 is also expected. In addition, if the minimum range values ​​1 and 2 are listed, and if the maximum range values ​​3, 4 and 5 are listed, the following ranges can all be expected: 1 to 3, 1 to 4, 1 to 5, 2 to 3, 2 to 4 and 2 to 5. In this application, unless otherwise specified, the range of values ​​"a to b" represents an abbreviation of any real number combination between a and b, where a and b are both real numbers. For example, the range of values ​​"0 to 5" means that all real numbers between "0 to 5" have been fully listed in this article, and "0 to 5" is only an abbreviation of these numerical combinations.

[0016] Unless otherwise specified, all embodiments and optional embodiments of the present application can be combined with each other to form a new technical solution.

[0017] Unless otherwise specified, all technical features and optional technical features of this application can be combined with each other to form a new technical solution.

[0018] If there is no special explanation, all steps of the present application can be performed sequentially or randomly, preferably sequentially. For example, the method includes steps (a) and (b), which means that the method may include steps (a) and (b) performed sequentially, or may include steps (b) and (a) performed sequentially. For example, the method may further include step (c), which means that step (c) may be added to the method in any order. For example, the method may include steps (a), (b) and (c), or may include steps (a), (c) and (b), or may include steps (c), (a) and (b), etc.

[0019] If there is no special explanation, the "include" and "comprising" mentioned in this application are open-ended or closed-ended. For example, the "include" and "comprising" may mean that other components not listed may also be included or only the listed components may be included or only the listed components may be included.

[0020] Unless otherwise specified, the reaction is carried out at room temperature and pressure.

[0021] Unless otherwise specified, all parts or percentages are by weight.

[0022] In the present invention, all substances used are known substances and can be purchased or synthesized by known methods.

[0023] In the present invention, the devices or equipment used are all conventional devices or equipment known in the art and are commercially available.

[0024] The following is a further description of the specific implementation of the anti-interference method and system for power data acquisition and communication equipment of the present invention in conjunction with the embodiments. The anti-interference method and system for power data acquisition and communication equipment of the present invention are not limited to the description of the following embodiments.

[0025] Embodiment 1: Anti-interference methods for power data acquisition communication equipment, such as Figure 1 As shown, the following steps are included: S1. Construct an electricity consumption information transmission network, set up electricity consumption collection nodes, collect electricity consumption information from the electricity consumption collection nodes through the electricity consumption information transmission network, and obtain electricity consumption collection information; S2. Continuously detect the collected signal power to determine whether the network is interfered with. If so, extract multiple features of the interference signal from the time domain and frequency domain, and use the support vector machine model to identify the interference type. S3. By understanding the type, power and frequency band parameters of the interference suffered by the current communication, the communication bit error rate is calculated, and interference cancellation and spectrum expansion are selected to reduce the bit error rate according to the type and amount of interference.

[0026] Furthermore, step S1 specifically includes: S11 constructs an electricity consumption information transmission network, wherein the electricity consumption information transmission network includes a plurality of signal collection and transmission channels; S12 obtains historical electricity consumption information, builds an electricity consumption collection network based on the historical electricity consumption information, and determines electricity consumption collection nodes in the electricity consumption collection network; S13: marking the collection nodes in the power consumption information transmission network according to the connection relationship between the power consumption collection nodes and the channels in the power consumption information transmission network, and obtaining the collection marking nodes; S14 obtains a preset collection channel of a corresponding collection and marking node in the power consumption information transmission network, collects power consumption information from the collection and marking node, and obtains power consumption collection information.

[0027] Furthermore, step S2 specifically includes: S21 continuously detects the signal power collected in the power information transmission network to determine whether the communication system is interfered; S22, when it is confirmed that there is interference in the communication, extracting multiple features of the interference signal from the time domain and the frequency domain; S23 sends these features of the interference signal to the trained support vector machine model to achieve high-accuracy identification of the interference type; S24 estimates the center frequency, bandwidth, and symbol rate of the interference signal.

[0028] Furthermore, step S3 specifically includes: S31 obtains signal parameters according to the real-time interference detection and interference identification results, including the operating frequency and power of the signal and the parameters of the interference signal; S32 uses the above parameters to calculate the bit error rate, evaluate the impact of interference on communication performance, and determine whether the bit error rate requirements are met based on the indicators; If S33 meets the requirements, it is the best anti-interference state; if it does not meet the requirements, it makes decision adjustments based on historical experience in the decision database and different interference parameters, including interference cancellation, spectrum expansion, and modification of the current communication system state to reduce the bit error rate; S34 updates the communication signal parameters and re-determines whether the bit error rate requirement is met; S35 finally saves the interference parameters and the decision adjustment process into the decision library.

[0029] Embodiment 2: The anti-interference system for electric power data acquisition communication equipment is applied to the method of embodiment 1, comprising: A network construction and collection module is configured to: construct an electricity consumption information transmission network, construct an electricity consumption network according to historical electricity consumption information, set electricity consumption collection nodes according to the electricity consumption network information, collect electricity consumption information from the electricity consumption collection nodes through the electricity consumption information transmission network, and obtain electricity consumption collection information; An interference identification module is configured to: continuously detect the signal power collected in the heterogeneous network to determine whether the communication system is subject to interference, and when it is confirmed that there is interference in the communication, extract multiple features of the interference signal from the time domain and frequency domain, and send these features of the interference signal to the trained support vector machine model to achieve high-accuracy identification of the interference type; and The anti-interference module is configured as follows: by recognizing the type, power, and frequency band of the interference suffered by the current communication, the communication bit error rate is calculated, and according to the type and number of interference, interference cancellation, spectrum expansion, and modification of the current communication system state are selected to reduce the bit error rate.

[0030] Furthermore, the network construction acquisition module includes: The power consumption information transmission network construction module is configured to: construct a power consumption information transmission network, wherein the power consumption information transmission network includes a plurality of signal collection and transmission channels; A power consumption network construction module is configured to: obtain historical power consumption information, construct a power consumption collection network based on the historical power consumption information, and determine power consumption collection nodes in the power consumption collection network; The node marking module is configured to: mark the collection nodes in the power consumption information transmission network according to the connection relationship between the power consumption collection nodes and each channel in the power consumption information transmission network, and obtain the collection marking nodes; The power consumption collection module is configured to obtain a preset collection channel of a corresponding collection and marking node in the power consumption information transmission network, collect power consumption information from the collection and marking node, and obtain power consumption collection information.

[0031] Furthermore, the interference identification module includes: A signal preprocessing module, which is configured to filter and denoise the signals collected in the heterogeneous network; The interference detection module is configured to: determine in real time whether the communication system is subject to interference by analyzing signal power changes and statistical characteristic parameters; A feature extraction module is configured to extract key features of interference signals from the time domain and the frequency domain; The interference identification module is configured to classify interference types by using the extracted signal features through a support vector machine model.

[0032] Furthermore, the anti-interference module includes: The communication performance evaluation module is configured to calculate the bit error rate and throughput of the communication system according to the interference parameters and evaluate the current communication quality; The anti-interference algorithm module is configured to provide targeted solutions for the communication system based on the current cognitive results of the interference type, power, and frequency band, including adjusting the used frequency band, interference offset, or adjusting the transmission power.

[0033] Embodiment 3: Anti-interference methods for power data acquisition communication equipment, such as Figure 2 As shown, the following steps are included: Step 1: Build an electricity consumption information transmission network to obtain electricity consumption collection information.

[0034] Step 1: construct an electricity consumption information transmission network, which includes multiple signal collection and transmission channels.

[0035] Step 2: Obtain historical electricity consumption information, build an electricity consumption collection network based on the historical electricity consumption information, and determine the electricity consumption collection nodes in the electricity consumption collection network.

[0036] Step 3: According to the connection relationship between the power consumption collection nodes and the channels in the power consumption information transmission network, the collection nodes are marked in the power consumption information transmission network to obtain the collection marked nodes.

[0037] Step 4: obtain the preset collection channel of the corresponding collection and marking node in the power consumption information transmission network, collect power consumption information from the collection and marking node, and obtain power consumption collection information.

[0038] Step 2: Interference detection and identification.

[0039] Step 1: Continuously detect the signal energy collected in the power information transmission network to determine whether the communication system is subject to interference. According to the following formula, calculate the energy value of the received signal within a period of time, and use the energy value when only the communication signal exists as the threshold. If the calculated received signal energy value exceeds the threshold, it is determined that interference exists and subsequent processing is performed:

[0040] ; Among them, represents the discrete signal after the received signal is converted by A / D, is the number of calculation points, and is the power value of the signal received over a period of time.

[0041] Step 2: When it is confirmed that there is interference in the communication, various features of the interference signal are extracted from the time domain and frequency domain. The time domain features include time domain moment skewness, time domain moment kurtosis, and time domain envelope fluctuation, and the frequency domain features include the 3dB bandwidth of the normalized spectrum, frequency domain peak-to-average, average spectrum flatness coefficient, spectrum moment skewness, and spectrum moment kurtosis. These features in the time and frequency domain can reflect the characteristics of different types of signals and can be used as a criterion for distinguishing these signals.

[0042] Assume that the received signal is express, Represents the envelope of the signal, and the amplitude mean of the signal is expressed as , the standard deviation is recorded as , the time domain moment skewness of the signal It is expressed as: .

[0043] Time domain moment kurtosis It is expressed as: .

[0044] The time domain envelope fluctuation is expressed as: .

[0045] Define the normalized form of the signal: ; in, represents the mean value; represents the spectrum value of the received interference signal. Let the normalization of the interference bandwidth as follows:

[0046] In the formula ; N represents the number of frequencies of the received interference signal, .

[0047] The peak-to-average ratio in the frequency domain is expressed as: ; in, Represents the maximum value in the signal spectrum; It represents the mean of the 30% signal spectrum in descending order.

[0048] The average spectrum flatness coefficient is expressed as: Indicates the signal Find the mean, It is a signal The mean filter is calculated based on the length, and the length L is generally taken as 0.03N, where N represents the number of sampling points of the signal.

[0049] The frequency domain moment kurtosis is expressed as: .

[0050] The frequency domain moment skewness is expressed as: .

[0051] In the third step, these features of the interference signal are fed into the trained support vector machine model to achieve high-accuracy identification of the interference type. The signal recognition model learns each type of signal based on the training set and finds an optimal hyperplane to separate signal samples of different attribute categories.

[0052] Step 4: Estimate the interference signal's center frequency, bandwidth, symbol rate and other parameters.

[0053] Step 3: Intelligent anti-interference decision-making.

[0054] Step 1: Obtain signal parameters based on real-time interference detection and interference identification results, including the signal's operating frequency, power, and interference signal parameters.

[0055] Step 2: Use the above parameters to calculate the bit error rate, evaluate the impact of interference on communication performance, and determine whether the bit error rate requirements are met based on the indicators.

[0056] Step 3: If the requirements are met, it is the best anti-interference state; if the requirements are not met, make decision adjustments based on historical experience in the decision library and for different interference parameters, including interference cancellation, spectrum expansion, modification of the current communication system status and other anti-interference algorithms to reduce the bit error rate.

[0057] Step 4: Update the communication signal parameters and re-determine whether the bit error rate requirements are met.

[0058] Step 5: Finally, the interference parameters and decision adjustment process are saved in the decision library.

[0059] Embodiment 4: The anti-interference system for electric power data acquisition communication equipment is applied to the method of embodiment 3, including: An electricity information transmission network construction module is used to construct an electricity information transmission network, wherein the electricity information transmission network includes a plurality of signal collection and transmission channels; A power consumption network construction module is used to obtain historical power consumption information, construct a power consumption collection network based on the historical power consumption information, and determine the power consumption collection nodes in the power consumption collection network; A node marking module is used to mark the collection nodes in the power consumption information transmission network according to the connection relationship between the power consumption collection nodes and each channel in the power consumption information transmission network, and obtain the collection marking nodes; The power consumption collection module is used to obtain the preset collection channel of the corresponding collection and marking node in the power consumption information transmission network, collect power consumption information from the collection and marking node, and obtain power consumption collection information.

[0060] The signal preprocessing module is used to filter and denoise the signals collected in the heterogeneous network; Interference detection module, used to determine in real time whether the communication system is subject to interference by analyzing parameters such as signal power changes and statistical characteristics; Feature extraction module, used to extract key features of interference signals from time domain and frequency domain; An interference identification module is used to classify interference types through a support vector machine model using the extracted signal features; The communication performance evaluation module is used to calculate the key performance indicators of the communication system such as bit error rate and throughput according to the interference parameters and evaluate the current communication quality; The anti-interference algorithm module is used to provide targeted solutions for the communication system based on the current understanding of the interference type, power, and frequency band, including methods such as adjusting the frequency band used, interference offset, or adjusting the transmission power.

[0061] The above describes the embodiments of the present invention in detail. However, the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of ordinary technicians in the relevant technical field without departing from the purpose of the present invention.

Claims

1. An anti-interference method for power data acquisition communication equipment, characterized in that: The following steps are involved: S1 builds an electricity consumption information transmission network, sets electricity consumption collection nodes, collects electricity consumption information from the electricity consumption collection nodes through the electricity consumption information transmission network, and obtains electricity consumption collection information; S2 continuously detects the collected signal power to determine whether the network is interfered with. If so, it extracts multiple features of the interference signal from the time domain and frequency domain, and uses the support vector machine model to identify the interference type. S3 calculates the communication bit error rate by understanding the type, power, and frequency band parameters of the interference encountered by the current communication, and selects interference cancellation and spectrum expansion to reduce the bit error rate based on the type and amount of interference.

2. The anti-interference method for power data acquisition and communication equipment according to claim 1, characterized in that: The step S1 specifically includes: S11 constructs an electricity consumption information transmission network, wherein the electricity consumption information transmission network includes a plurality of signal collection and transmission channels; S12 obtains historical electricity consumption information, builds an electricity consumption collection network based on the historical electricity consumption information, and determines electricity consumption collection nodes in the electricity consumption collection network; S13: marking the collection nodes in the power consumption information transmission network according to the connection relationship between the power consumption collection nodes and the channels in the power consumption information transmission network, and obtaining the collection marking nodes; S14 obtains a preset collection channel of a corresponding collection and marking node in the power consumption information transmission network, collects power consumption information from the collection and marking node, and obtains power consumption collection information.

3. The anti-interference method for electric power data acquisition and communication equipment according to claim 1, characterized in that: The step S2 specifically includes: S21 continuously detects the signal power collected in the power information transmission network to determine whether the communication system is interfered; S22, when it is confirmed that there is interference in the communication, extracting multiple features of the interference signal from the time domain and the frequency domain; S23 sends these features of the interference signal to the trained support vector machine model to achieve high-accuracy identification of the interference type; S24 estimates the center frequency, bandwidth, and symbol rate of the interference signal.

4. The anti-interference method for electric power data acquisition and communication equipment according to claim 1, characterized in that: The step S3 specifically includes: S31 obtains signal parameters according to the real-time interference detection and interference identification results, including the operating frequency and power of the signal and the parameters of the interference signal; S32 uses the above parameters to calculate the bit error rate, evaluate the impact of interference on communication performance, and determine whether the bit error rate requirements are met based on the indicators; If S33 meets the requirements, it is the best anti-interference state; if it does not meet the requirements, it makes decision adjustments based on historical experience in the decision database and different interference parameters, including interference cancellation, spectrum expansion, and modification of the current communication system state to reduce the bit error rate; S34 updates the communication signal parameters and re-determines whether the bit error rate requirement is met; S35 finally saves the interference parameters and the decision adjustment process into the decision library.

5. An anti-interference system for power data acquisition and communication equipment, applied to the method according to any one of claims 1 to 4, characterized in that: include: A network construction and collection module is configured to: construct an electricity consumption information transmission network, construct an electricity consumption network according to historical electricity consumption information, set electricity consumption collection nodes according to the electricity consumption network information, collect electricity consumption information from the electricity consumption collection nodes through the electricity consumption information transmission network, and obtain electricity consumption collection information; The interference identification module is configured to: continuously detect the signal power collected in the heterogeneous network to determine whether the communication system is subject to interference. When it is confirmed that there is interference in the communication, multiple features of the interference signal are extracted from the time domain and frequency domain, and these features of the interference signal are sent to the trained support vector machine model to realize high-accuracy identification of the interference type; as well as The anti-interference module is configured as follows: by recognizing the type, power, and frequency band of the interference suffered by the current communication, the communication bit error rate is calculated, and according to the type and number of interference, interference cancellation, spectrum expansion, and modification of the current communication system state are selected to reduce the bit error rate.

6. The anti-interference system for electric power data acquisition and communication equipment according to claim 5, characterized in that: The network construction acquisition module includes: The power consumption information transmission network construction module is configured to: construct a power consumption information transmission network, wherein the power consumption information transmission network includes a plurality of signal collection and transmission channels; A power consumption network construction module is configured to: obtain historical power consumption information, construct a power consumption collection network based on the historical power consumption information, and determine power consumption collection nodes in the power consumption collection network; The node marking module is configured to: mark the collection nodes in the power consumption information transmission network according to the connection relationship between the power consumption collection nodes and each channel in the power consumption information transmission network, and obtain the collection marking nodes; The power consumption collection module is configured to obtain a preset collection channel of a corresponding collection and marking node in the power consumption information transmission network, collect power consumption information from the collection and marking node, and obtain power consumption collection information.

7. The anti-interference system for electric power data acquisition and communication equipment according to claim 5, characterized in that: The interference identification module includes: A signal preprocessing module, which is configured to filter and denoise the signals collected in the heterogeneous network; The interference detection module is configured to: determine in real time whether the communication system is subject to interference by analyzing signal power changes and statistical characteristic parameters; A feature extraction module is configured to extract key features of interference signals from the time domain and the frequency domain; The interference identification module is configured to classify interference types by using the extracted signal features through a support vector machine model.

8. The anti-interference system for electric power data acquisition and communication equipment according to claim 5, characterized in that: The anti-interference module comprises: The communication performance evaluation module is configured to calculate the bit error rate and throughput of the communication system according to the interference parameters and evaluate the current communication quality; The anti-interference algorithm module is configured to provide targeted solutions for the communication system based on the current cognitive results of the interference type, power, and frequency band, including adjusting the used frequency band, interference offset, or adjusting the transmission power.

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