Electric power environment sampling detection method

Abstract

The invention provides an electric power environment sampling detection method, which belongs to the technical field of electric power environment sampling detection, and comprises the following steps: step 1, terminal detection: carrying out testing in three categories of terminal configuration, uplink communication and downlink communication in sequence; step 2, ammeter carrier detection: checking whether a carrier ammeter normally responds or not; step 3, intelligent meter detection; step 4, noise sampling analysis is carried out, environmental noise is measured, noise source positioning is carried out, and a device displays a measurement result in a graphical form; and step 5, communication diagnosis: carrying out real-time compliance test on a communication line and setting a timing interval to carry out simple noise sampling analysis. According to the method, the checking efficiency and quality of field problems are improved, the problems are locally processed as much as possible, and meanwhile, the established interconnection and interworking evaluation system further promotes standardized upgrading and reconstruction of each module manufacturer, so that the optimal configuration of assets is formed, the investment of operation and maintenance is further influenced, and cost reduction and efficiency improvement are realized.

Description

Technical Field

[0001] The present invention mainly relates to the technical field of power environment sampling and detection, and specifically relates to a power environment sampling and detection method. Background Art

[0002] Smart grid is the intelligentization of power grid. It is built on the basis of high-speed two-way communication network. Through the application of sensing and measurement technology, advanced control methods, advanced equipment technology and advanced decision-making system, it realizes the goal of reliable, safe, economical, efficient and environmentally friendly power grid. The core connotation of smart grid is to realize the informatization, digitization, automation and interactivity of power grid.

[0003] For on-site fault detection and debugging, each manufacturer has developed a copy controller and supporting software based on its own chip solution to achieve on-site equipment monitoring, debugging, viewing network topology, and understanding the interconnection and interoperability of lines. However, due to its complexity, on-site problems of the acquisition system are difficult to judge through simple manual observation, and existing tools cannot effectively assist on-site operation and maintenance personnel in problem analysis. Summary of the invention

[0004] The present invention mainly provides a power environment sampling detection method to solve the technical problems raised in the above background technology.

[0005] The technical solution adopted by the present invention to solve the above technical problems is:

[0006] A method for sampling and detecting an electric power environment comprises the following steps:

[0007] Step 1: Terminal detection: According to the terminal service functions, the terminal is divided into three categories: terminal configuration, uplink communication, and downlink communication. Tests are performed in sequence. If an error occurs at each step, the test is stopped to prompt the operation and maintenance personnel to perform a corresponding equipment inspection.

[0008] Step 2: Meter carrier detection: Use the IoT diagnostic instrument to send reading instructions to the power line to check whether the carrier meter responds normally. If not, it will prompt you to unplug it and then plug it into the IoT diagnostic instrument for detection;

[0009] Step 3: Smart meter detection. Smart meter detection requires attention to meter address jump, wiring judgment, power-on verification and data item reading;

[0010] Step 4: Noise analysis: measure the environmental noise and locate the noise source. The equipment displays the measurement results in a graphical form and prompts whether the environmental noise is too loud. At the same time, it records the noise and interference data to provide a data basis for laboratory simulation and tracing back the on-site interference environment.

[0011] Step 5: Communication diagnosis: perform real-time compliance testing on the communication lines and set timed intervals for simple noise analysis.

[0012] Furthermore, in the present invention, when detecting the terminal, it is also necessary to analyze in advance whether the terminal is operating normally, and the specific steps are:

[0013] First, connect the IoT diagnostic instrument to the terminal's power line through a clip cable, and connect the handheld intelligent diagnostic terminal to the terminal through a debugging cable or Dingxin's self-developed Bluetooth to serial port adapter cable;

[0014] Then, the handheld intelligent diagnosis terminal sends a meter search command to the terminal to see if the virtual meter simulated by the IoT diagnostic instrument can be found; after the virtual meter is found, the terminal is sent various instructions for reading the meter, and the IoT diagnostic instrument responds to the terminal with normal frames, abnormal frames, and overlong frames in turn. The handheld intelligent diagnosis terminal monitors the execution results of the terminal and analyzes the working status of the terminal;

[0015] Finally, the IoT diagnostic instrument simulates the electric meter and collector, actively reports data such as frequent power outages to the terminal, and monitors the terminal status through a handheld intelligent diagnostic terminal to analyze whether the terminal is operating normally.

[0016] Furthermore, in the present invention, in step 1, the terminal carrier and the collector need to be detected:

[0017] When the terminal directly transparently transmits data and detects an abnormality in the terminal carrier function, the operation and maintenance personnel are prompted to unplug the terminal carrier module and insert it into the IoT diagnostic instrument for separate testing.

[0018] Furthermore, in the present invention, the specific method for terminal carrier detection is:

[0019] Unplug the terminal carrier module and insert it into the IoT diagnostic instrument. After insertion, the IoT diagnostic instrument can automatically identify the type of inserted module and perform automatic testing. The IoT diagnostic instrument has a built-in meter function, which can be directly connected to strong electricity and simulated as a terminal and an electric meter or collector at the same time.

[0020] Furthermore, in the present invention, the specific method for detecting the collector is:

[0021] During the test, the IoT diagnostic instrument is connected to the power line through the clip line, and is connected to the 485 line of the collector and the meter through the 485 line. The built-in meter reading function sends search or meter reading commands, and monitors whether there are corresponding instructions sent to the meter on the RS485 line and whether the meter responds normally; finally, check whether the data reported by the collector is captured on the power line.

[0022] Furthermore, in the present invention, in step 3, the specific method for detecting the smart meter is:

[0023] During the test, the meter address consistency test is first performed to determine whether the meter address is normal by checking the asset number and the address in the meter;

[0024] Then, read the key data items such as daily freezing of the smart meter, analyze whether the electric energy meter is working normally, and check the key information such as pressure loss and current loss of the electric energy meter and opening of the meter cover and end cover again;

[0025] Finally, the electric meter is powered off and restored, and the voltage and current information, three-phase phase information and other information are read to determine whether the electric meter is working normally, whether the wiring is correct, and whether the power is restored successfully.

[0026] Furthermore, in the present invention, in step four, the noise collection analysis is divided into simple noise collection and high-precision noise collection. The simple noise collection application collects power line environmental noise and wireless electromagnetic interference noise, and analyzes the time-varying characteristics, amplitude-frequency characteristics, noise change laws, etc., and generates on-site substation noise intensity results.

[0027] Furthermore, in the present invention, when performing simple noise collection, signal diagnosis needs to be performed, and the specific process of signal diagnosis is as follows:

[0028] The noise signal is sampled using a 25MHz sampling frequency;

[0029] Then the FFT operation is performed by software operation;

[0030] Finally, the frequency domain data processing unit processes and identifies the frequency domain data obtained by FFT operation, and processes the frequency domain data through methods such as cyclic sampling, maximum hold, power spectrum accumulation, and peak detection.

[0031] Furthermore, in the present invention, the basic principle of the high-precision noise acquisition is consistent with that of the simple noise acquisition, and it has been improved in many aspects such as sampling frequency, storage depth, sampling time, sampling accuracy, and processing speed, and its main chip uses a high-performance FPGA chip.

[0032] Furthermore, in the present invention, in step 5, communication diagnosis is an important evaluation method for HPLC transmission stability, which mainly implements three aspects:

[0033] 1. Perform real-time analysis and verification of carrier messages to determine whether the messages are compliant and calculate the compliance rate of the messages;

[0034] 2. Directed capture of specified messages for subsequent data analysis;

[0035] 3. Perform simple noise analysis on the communication line on a regular or real-time basis.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The present invention detects the terminal, meter carrier, and smart meter in sequence, and performs noise analysis and communication diagnosis. On the one hand, it improves the efficiency and quality of on-site problem troubleshooting, localizes the problems as much as possible, further provides positive feedback to the power supply company's operation and maintenance work, and helps build an information-based, standardized, and intelligent operation and maintenance team; on the other hand, the constructed interconnection evaluation system will further promote the standardized and standardized upgrading and transformation of various module manufacturers, thereby forming the optimal configuration of assets, which will further affect the investment in operation and maintenance and achieve cost reduction and efficiency improvement.

[0038] The present invention will be explained in detail below with reference to the accompanying drawings and specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A half-link functional connection diagram for detecting the collector of the present invention;

[0040] Figure 2 It is a specific flow chart of signal diagnosis of the present invention;

[0041] Figure 3 This is a flow chart of line impedance characteristic analysis of the present invention.

[0042] Description of the drawings: 1. Power line; 2. Collector; 3. RS485 line; 4. Electric energy meter; 5. Bluetooth; 6. Internet of Things diagnostic instrument. DETAILED DESCRIPTION

[0043] To facilitate understanding of the present invention, the present invention will be described more comprehensively below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings, but the present invention can be implemented in different forms and is not limited to the embodiments described in the text. On the contrary, these embodiments are provided to make the content disclosed in the present invention more thorough and comprehensive.

[0044] It should be noted that when an element is referred to as being "fixed on" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used in this article are for illustrative purposes only.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which the present invention belongs. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0046] Embodiment, a method for sampling and detecting an electric power environment comprises the following steps:

[0047] Step 1: Terminal detection: According to the terminal service functions, the terminal is divided into three categories: terminal configuration, uplink communication, and downlink communication. Tests are performed in sequence. If an error occurs at each step, the test is stopped to prompt the operation and maintenance personnel to perform a corresponding equipment inspection.

[0048] Step 2: Meter carrier detection: Use the IoT diagnostic instrument 6 to send reading instructions to the power line 1 to check whether the carrier meter responds normally. If not, it will prompt to unplug and then plug in the IoT diagnostic instrument 6 for detection;

[0049] Step 3: Smart meter detection. Smart meter detection requires attention to meter address jump, wiring judgment, power-on verification and data item reading;

[0050] Step 4: Noise analysis: measure the environmental noise and locate the noise source. The equipment displays the measurement results in a graphical form and prompts whether the environmental noise is too loud. At the same time, it records the noise and interference data to provide a data basis for laboratory simulation and tracing back the on-site interference environment.

[0051] Step 5: Communication diagnosis: perform real-time compliance testing on the communication lines and set timed intervals for simple noise analysis.

[0052] Furthermore, in the present invention, when detecting the terminal, it is also necessary to analyze in advance whether the terminal is operating normally, and the specific steps are:

[0053] First, connect the IoT diagnostic instrument 6 to the power line 1 of the terminal through a clip line, and connect the handheld intelligent diagnostic terminal to the terminal through a debugging line or Dingxin's self-developed Bluetooth 5 to serial port adapter cable;

[0054] Then, the handheld intelligent diagnostic terminal sends a meter search command to the terminal to see if the virtual meter simulated by the IoT diagnostic instrument 6 can be found; after the virtual meter is found, various instructions for reading the meter are sent to the terminal, and the IoT diagnostic instrument 6 responds to the terminal with normal frames, abnormal frames and overlong frames in sequence, and the terminal execution results are monitored through the handheld intelligent diagnostic terminal to analyze the terminal working status;

[0055] Finally, the IoT diagnostic instrument 6 simulates the electric meter and collector 2, actively reports data such as frequent power outages to the terminal, monitors the terminal status through the handheld intelligent diagnostic terminal, and analyzes whether the terminal is operating normally.

[0056] Furthermore, in step 1, the terminal carrier and collector 2 need to be detected:

[0057] When the terminal directly transparently transmits data to detect abnormal terminal carrier function, the operation and maintenance personnel are prompted to unplug the terminal carrier module and insert it into the IoT diagnostic instrument 6 for separate detection;

[0058] It should be noted that in this embodiment, the terminal carrier is referred to as CCO. When performing an uplink communication test, the GPRS module connectivity test is first performed. If an error occurs, the operation and maintenance personnel are prompted to unplug the GPRS module and insert it into the base for separate testing. The same is true for the CCO module test of downlink communication.

[0059] Finally, when executing downlink communication, after reading the substation topology and level information, the table with the largest level, that is, the end, is selected as the object of the subsequent call test function, which is used as a criterion for judging whether the substation is qualified.

[0060] Furthermore, the specific method for terminal carrier detection is:

[0061] After unplugging the terminal carrier module, insert it into the IoT diagnostic instrument 6. After insertion, the IoT diagnostic instrument 6 can automatically identify the type of the inserted module and perform automatic testing. The IoT diagnostic instrument 6 has a built-in meter reading function, which can be directly connected to strong electricity and simulated as a terminal and an electric meter or collector 2 at the same time.

[0062] It should be noted that, in this embodiment, it is possible to directly verify whether the communication between the CCO and the terminal, and between the CCO and the electric meter or collector 2 is normal, thereby ensuring the stable operation of the CCO uplink and downlink communications. At the same time, the compatibility and working performance of CCO modules of different manufacturers can also be tested through normal and abnormal responses.

[0063] When the IoT diagnostic instrument 6 is plugged into the CCO, it is equivalent to a normal terminal. It can perform conventional meter searches, networking, and establishing substation topology processes. It can also compare with marketing archives to find meters outside the archives, and give a recommended search range based on information such as carrier signal strength and relay nodes.

[0064] Furthermore, the specific method for detecting the collector 2 is as follows:

[0065] During the test, the IoT diagnostic instrument 6 is connected to the power line 1 through the clip line, and is connected to the collector 2 and the 485 line of the meter through the 485 line. The built-in meter reading function sends a search or meter reading command, and monitors whether there is a corresponding instruction sent to the meter on the RS485 line 3 and whether the meter responds normally; finally, check whether the reported data of the collector 2 is captured on the power line 1;

[0066] It should be noted that, in this embodiment, the normal operation of the entire collector 2 downlink path is tested. Figure 1 shown.

[0067] Furthermore, in step 3, the specific method for detecting the smart meter is:

[0068] During the test, the meter address consistency test is first performed to determine whether the meter address is normal by checking the asset number and the address in the meter;

[0069] Then, read the key data items such as daily freezing of the smart meter, analyze whether the electric energy meter 4 is working normally, and check the key information such as pressure loss and current loss of the electric energy meter 4 and opening of the meter cover and end cover again;

[0070] Finally, the electric meter is powered off and restored, and the voltage and current information, three-phase phase information and other information are read to determine whether the electric meter is working normally, whether the wiring is correct, and whether the power is restored successfully.

[0071] Furthermore, in step four, the noise collection analysis is divided into simple noise collection and high-precision noise collection. The simple noise collection application collects the environmental noise of the power line 1 and the wireless electromagnetic interference noise, and analyzes the time-varying characteristics, amplitude-frequency characteristics, noise change laws, etc., and generates the noise intensity results of the on-site substation.

[0072] It should be noted that, in this embodiment, the simple noise collection function is designed for the environmental noise problem. Through this function, the environmental noise can be measured and the noise source can be located. The device displays the measurement results in a graphical form and prompts whether the environmental noise is too large. At the same time, it records noise and interference data to provide a data basis for laboratory simulation and tracing back to the on-site interference environment.

[0073] Furthermore, in the present invention, when performing simple noise collection, signal diagnosis needs to be performed, and the specific process of signal diagnosis is as follows:

[0074] The noise signal is sampled using a 25MHz sampling frequency;

[0075] Then the FFT operation is performed by software operation;

[0076] Finally, the frequency domain data processing unit processes and identifies the frequency domain data obtained by FFT operation, and processes the frequency domain data through methods such as cyclic sampling, maximum hold, power spectrum accumulation, and peak detection.

[0077] It should be noted that, in this embodiment, the specific process of signal diagnosis is as shown in the attached Figure 2 shown.

[0078] In addition, it should be noted that the ADC sampling of the power line 1 signal, the HPLC communication technical specification defines four communication frequency bands, as shown in the following table, the measured signal frequency range is 0.7MHz ~ 12MHz, according to the sampling theorem, the sampling frequency should be greater than 24MHz, this system uses a 25MHz sampling frequency to sample the noise signal; the HPLC communication technical specification stipulates that the subcarrier interval used in communication is 24.414KHz, in order to ensure accurate evaluation of the impact of noise on HPLC communication, the minimum number of sampling points is 1024 points, the number of single sampling points involved in this system is 2048, and the corresponding spectrum resolution is 12.207KHz. .

[0079]

[0080] FFT operation is used to obtain the frequency domain information of the interference signal. This system performs FFT operation through software operation. To ensure the operation performance, parameters such as the butterfly factor are obtained through table lookup.

[0081] The frequency domain data processing unit processes and identifies the frequency domain data obtained by FFT operation, and processes the frequency domain data through methods such as cyclic sampling, maximum hold, power spectrum accumulation, and peak detection, so as to make the processing result of the power line 1 environmental noise information more accurate.

[0082] Furthermore, the basic principle of the high-precision noise acquisition is consistent with that of the simple noise acquisition, and it has been improved in many aspects such as sampling frequency, storage depth, sampling time, sampling accuracy, and processing speed. Its main chip uses a high-performance FPGA chip;

[0083] It should be noted that, in this embodiment, the high-performance FPGA chip can greatly improve the digital signal processing capability.

[0084] It should also be noted that the line impedance characteristic analysis function is designed for in-depth research on power line 1 communication theory, realizing low-voltage power line 1 impedance characteristic analysis and providing basic data for low-voltage power line 1 channel research. It also requires a channel analyzer to achieve this;

[0085] The line impedance characteristic analysis process is as follows: Figure 3 As shown, it is divided into two processes: signal transmission and signal reception. The process is as follows:

[0086] Signal transmission process:

[0087] (1) Start the application and click the launch button;

[0088] (2) Encode the test data information;

[0089] (3) Perform IFFT operation based on the encoding result to generate a time-domain discrete signal;

[0090] (4) Send test signals through DA conversion chip and PA chip;

[0091] Repeat steps (2) to (4) at a fixed cycle.

[0092] Signal receiving process:

[0093] (1) Start the application and click the Start button to start the analysis;

[0094] (2) High-speed ADC sampling;

[0095] (3) Perform FFT operation on the sampled data to obtain frequency domain information;

[0096] (4) Process frequency domain data to extract environmental noise information and transmitted signal information;

[0097] (5) Information decoding, analyzing the impedance information of power line 1 channel.

[0098] Furthermore, in step 5, communication diagnosis is an important evaluation method for HPLC transmission stability, which mainly implements three aspects:

[0099] 1. Perform real-time analysis and verification of carrier messages to determine whether the messages are compliant and calculate the compliance rate of the messages;

[0100] 2. Directed capture of specified messages for subsequent data analysis;

[0101] 3. Perform simple noise analysis on communication lines on a regular or real-time basis;

[0102] It should be noted that in this embodiment, a real-time compliance test is usually performed on the communication line and a simple noise analysis is set at a time interval of 10 minutes. In the period of low compliance rate, an immediate simple noise analysis is added. In this way, the communication reliability data of the line and the influence curve related to noise can be effectively obtained, which has important guiding significance for the diagnosis of communication quality.

[0103] The above is an exemplary description of the present invention in combination with the accompanying drawings. It is obvious that the specific implementation of the present invention is not limited to the above-mentioned method. As long as such non-substantial improvements are made by adopting the method concept and technical solution of the present invention, or the concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A power environment sampling and detection method, characterized in that: The following steps are involved: Step 1: Terminal detection: According to the terminal service functions, the terminal is divided into three categories: terminal configuration, uplink communication, and downlink communication. Tests are performed in sequence. If an error occurs at each step, the test is stopped to prompt the operation and maintenance personnel to perform a corresponding equipment inspection. Step 2: Meter carrier detection: Use the IoT diagnostic instrument to send reading instructions to the power line to check whether the carrier meter responds normally. If not, it will prompt you to unplug it and then plug it into the IoT diagnostic instrument for detection; Step 3: Smart meter detection. Smart meter detection requires attention to meter address jump, wiring judgment, power-on verification and data item reading; Step 4: Noise analysis: measure the environmental noise and locate the noise source. The equipment displays the measurement results in a graphical form and prompts whether the environmental noise is too loud. At the same time, it records the noise and interference data to provide a data basis for laboratory simulation and tracing back the on-site interference environment. Step 5: Communication diagnosis: perform real-time compliance testing on the communication lines and set timed intervals for simple noise analysis.

2. The power environment sampling and detection method according to claim 1 is characterized in that: In step 1, when testing the terminal, it is also necessary to analyze in advance whether the terminal is operating normally. The specific steps are: First, connect the IoT diagnostic instrument to the terminal's power line through a clip cable, and connect the handheld intelligent diagnostic terminal to the terminal through a debugging cable or Dingxin's self-developed Bluetooth to serial port adapter cable; Then, the handheld intelligent diagnosis terminal sends a meter search command to the terminal to see if the virtual meter simulated by the IoT diagnostic instrument can be found; after the virtual meter is found, the terminal is sent various instructions for reading the meter, and the IoT diagnostic instrument responds to the terminal with normal frames, abnormal frames, and overlong frames in turn. The handheld intelligent diagnosis terminal monitors the execution results of the terminal and analyzes the working status of the terminal; Finally, the IoT diagnostic instrument simulates the electric meter and collector, actively reports data such as frequent power outages to the terminal, and monitors the terminal status through a handheld intelligent diagnostic terminal to analyze whether the terminal is operating normally.

3. The power environment sampling and detection method according to claim 1 is characterized in that: In step 1, the terminal carrier and collector must also be tested: When the terminal directly transparently transmits data and detects an abnormality in the terminal carrier function, the operation and maintenance personnel are prompted to unplug the terminal carrier module and insert it into the IoT diagnostic instrument for separate testing.

4. The power environment sampling and detection method according to claim 3 is characterized in that: The specific method for terminal carrier detection is: Unplug the terminal carrier module and insert it into the IoT diagnostic instrument. After insertion, the IoT diagnostic instrument can automatically identify the type of inserted module and perform automatic testing. The IoT diagnostic instrument has a built-in meter function, which can be directly connected to strong electricity and simulated as a terminal and an electric meter or collector at the same time.

5. The power environment sampling and detection method according to claim 3 is characterized in that: The specific method for detecting the collector is as follows: During the test, the IoT diagnostic instrument is connected to the power line through the clip line, and is connected to the 485 line of the collector and the meter through the 485 line. The built-in meter reading function sends search or meter reading commands, and monitors whether there are corresponding instructions sent to the meter on the RS485 line and whether the meter responds normally; finally, check whether the data reported by the collector is captured on the power line.

6. The power environment sampling and detection method according to claim 1 is characterized in that: In step 3, the specific method for detecting the smart meter is: During the test, the meter address consistency test is first performed to determine whether the meter address is normal by checking the asset number and the address in the meter; Then, read the key data items such as daily freezing of the smart meter, analyze whether the electric energy meter is working normally, and check the key information such as pressure loss and current loss of the electric energy meter and opening of the meter cover and end cover again; Finally, the electric meter is powered off and restored, and the voltage and current information, three-phase phase information and other information are read to determine whether the electric meter is working normally, whether the wiring is correct, and whether the power is restored successfully.

7. The power environment sampling and detection method according to claim 1 is characterized in that: In the step 4, the noise collection analysis is divided into simple noise collection and high-precision noise collection. The simple noise collection application collects the power line environmental noise and wireless electromagnetic interference noise, and analyzes the time-varying characteristics, amplitude-frequency characteristics, noise change laws, etc., and generates the noise intensity results of the on-site substation.

8. The power environment sampling and detection method according to claim 7 is characterized in that: When performing simple noise collection, signal diagnosis is required. The specific process of signal diagnosis is as follows: sample the noise signal using a 25MHz sampling frequency; Then the FFT operation is performed by software operation; Finally, the frequency domain data processing unit processes and identifies the frequency domain data obtained by FFT operation, and processes the frequency domain data through methods such as cyclic sampling, maximum hold, power spectrum accumulation, and peak detection.

9. The power environment sampling and detection method according to claim 1 is characterized in that: The basic principle of the high-precision noise acquisition is consistent with that of the simple noise acquisition. It has been improved in many aspects such as sampling frequency, storage depth, sampling time, sampling accuracy, and processing speed. Its main chip uses a high-performance FPGA chip.

10. The power environment sampling and detection method according to claim 1, characterized in that: In step 5, communication diagnosis is an important evaluation method for HPLC transmission stability, which mainly implements three aspects:

1. Perform real-time analysis and verification of carrier messages to determine whether the messages are compliant and calculate the compliance rate of the messages; 2. Directed capture of specified messages for subsequent data analysis; 3. Perform simple noise analysis on the communication line on a regular or real-time basis.

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