Marketing smart terminal network access full performance detection method integrated with multi-dimensional verification

Abstract

The invention provides a marketing smart terminal network access full performance detection method fused with multi-dimensional verification, and the method comprises the following steps: S1, building a detection platform containing a virtual table, and enabling a to-be-detected marketing smart terminal to access the detection platform; s2, selecting a detection scene based on the detection demand to carry out network access detection on the marketing intelligent terminal, wherein the detection scene comprises meter reading MAC verification detection, terminal power-off and power-on detection and transformer area power-off and power-on detection; s3, collecting operation data of the marketing intelligent terminal in the detection process, transmitting the operation data to the detection platform, and performing comprehensive analysis and processing on the operation data by the detection platform to obtain a detection result of the marketing intelligent terminal; and S4, carrying out comprehensive analysis on the detection results of all the detection scenes, generating a detection report about whether the marketing intelligent terminal meets the network access requirement, and through comprehensive simulation of a plurality of actual detection scenes, improving the detection efficiency and accuracy, and ensuring stable network access and reliable operation of the marketing intelligent terminal.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment network access detection technology, and in particular to a marketing smart terminal network access full performance detection method integrating multi-dimensional verification. Background Art

[0002] In the field of power marketing, the stable operation of marketing smart terminals is crucial. Before the terminals are connected to the network, they need to be fully performance tested to ensure that they meet various technical requirements. However, existing detection methods have problems such as low detection efficiency, insufficient accuracy, and inability to fully simulate actual operation scenarios. For example, traditional meter reading MAC verification methods may only perform simple comparisons and lack comprehensive detection of the transmission and verification of MAC addresses in different network environments. When detecting power outages and power-on at the terminal and substation, it may not be possible to accurately control the time and frequency of power outages and power-on, making it difficult to simulate complex actual power usage scenarios, resulting in some potential problems not being discovered in a timely manner. Summary of the Invention

[0003] In view of this, the present invention proposes a full-performance detection method for marketing smart terminal network access that integrates multi-dimensional verification, which can fully simulate actual operation scenarios and improve the detection efficiency and accuracy of marketing smart terminal network access detection.

[0004] The technical solution of the present invention is achieved as follows: A method for detecting the full performance of a marketing intelligence terminal network access by integrating multi-dimensional verification includes the following steps: Step S1: Build a testing platform including a virtual table and connect the marketing intelligence terminal to be tested to the testing platform; Step S2: Select a detection scenario based on the detection requirements to perform network access detection on the marketing smart terminal. The detection scenario includes meter reading MAC verification detection, terminal power-off detection, and station power-off detection. Step S3: Collect the operating data of the marketing intelligence terminal during the detection process and transmit the operating data to the detection platform. The detection platform comprehensively analyzes and processes the operating data to obtain the detection results of the marketing intelligence terminal; Step S4: Comprehensively analyze the test results of all test scenarios and generate a test report on whether the marketing smart terminal meets the network access requirements.

[0005] Preferably, when the detection scenario is meter reading MAC verification detection, the specific steps of step S3 are: Step S301: Send a MAC verification instruction to the marketing intelligence terminal. The marketing intelligence terminal collects meter reading data transmitted from the virtual meter and generates an expected MAC address. Step S302: The detection platform establishes a dual-state verification model for meter reading MAC verification and receives data transmitted by the marketing smart terminal and the virtual meter; Step S303: When the dual-state verification model is in the MAC verification closed state, compare the meter reading data collected by the marketing intelligence terminal with the correct meter reading data set by the virtual meter; Step S304: When the dual-state verification model is in the MAC verification state, compare the expected MAC address with the correct MAC address reported by the virtual table; Step S305: When the dual-state verification model is in the MAC verification state, the virtual table generates an incorrect MAC address and compares the expected MAC address with the incorrect MAC address; Step S306: If the meter reading data is consistent in the MAC verification off state, the expected MAC address is consistent with the correct MAC address in the MAC verification on state, and the expected MAC address is inconsistent with the wrong MAC address, the meter reading MAC verification test is determined to have passed; otherwise, the test is determined to have failed.

[0006] Preferably, the condition for determining whether the meter reading MAC verification test is passed in step S306 also includes that the meter reading MAC verification function of the marketing smart terminal can be flexibly set through buttons and commands, otherwise it is determined that the test fails.

[0007] Preferably, the meter reading data includes electric energy data, voltage data and current data.

[0008] Preferably, when the detection scenario is terminal power-off detection, the specific steps of step S3 include: Step S311: Regulating the output voltage through the programmable power module to simulate a power-off event of the terminal; Step S312: The marketing intelligence terminal collects AC input voltage data and terminal voltage data of the supercapacitor built into the marketing intelligence terminal; Step S313: Compare the AC input voltage data with a preset voltage threshold, and determine a trigger event based on the duration. The trigger event types include a power-off trigger event and a power-on trigger event. Step S314: When a power-off event is triggered, determine whether the time for the supercapacitor to maintain the operation of the marketing smart terminal is greater than a preset time threshold based on the collected terminal voltage data of the supercapacitor; Step S315: If the triggering event is consistent with the simulated terminal power-off event, and the time the supercapacitor maintains the operation of the marketing smart terminal is greater than the preset time threshold, the test is determined to have passed; otherwise, the test is determined to have failed.

[0009] Preferably, the AC input voltage data and the terminal voltage data are filtered, denoised and feature extracted after being collected.

[0010] Preferably, the conditions for determining whether the detection is passed in step S315 also include: comparing the number of event records, event attribute flags, and event sources reported by the marketing smart terminal to see whether they are consistent with the preset correct data, the event attribute flags include normal, effective power outage / invalid power outage, and the event sources include power on and power outage.

[0011] Preferably, when the detection scenario is a power outage detection in a substation, the specific steps of step S3 include: Step S321: Control the power-off and power-on of the substation and simulate the power-off and power-on events of the substation; Step S322: The marketing smart terminal collects three-phase voltage data, simultaneously obtains voltage data and communication response status of n meters under the substation, and collects power outage and power-on event data reported by the meters; Step S323: If the three-phase voltage data is lower than the power outage judgment threshold, n meters report a power outage event, or no meter reports but the voltage data read from n meters is lower than the power outage judgment threshold or all meters do not respond to communication, it is determined to be a power outage event in the substation area; Step S324: If the three-phase voltage data recovers to be higher than the power-on judgment threshold, n meters report a power-on event, or no meter reports but any one of the read meters responds to the communication and the voltage data is higher than the power-on judgment threshold, it is determined to be a power-on event for the substation; Step S325: Compare the judged power outage event and power-on event of the substation with the simulated power outage and power-on event of the substation. If the events are consistent and the backup power supply in the marketing smart terminal meets the meter communication requirements, it is determined that the substation power outage and power-on detection has passed; otherwise, it is determined that the detection has failed.

[0012] Preferably, the three-phase voltage data, meter voltage data and communication response status are normalized and converted into a unified numerical format.

[0013] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides a full-performance detection method for marketing smart terminals entering the network that integrates multi-dimensional verification. After building a special detection platform, it can be accessed by marketing smart terminals, and then a variety of detection scenarios can be provided for marketing smart terminals, including meter reading MAC verification detection, terminal power-off detection, and substation power-off detection, etc. During the detection process, the operation data of the marketing smart terminal is collected, and the collected operation data is compared and analyzed with the existing data in the detection platform, so as to obtain the detection results in each scenario. Finally, the detection results in all detection scenarios are combined to comprehensively analyze whether the marketing smart terminal meets the network access requirements, and output the detection report for staff to review. The actual operation scenario can be fully simulated, the network access detection efficiency and accuracy can be improved, and the stable network access and reliable operation of the marketing smart terminal can be ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only preferred embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0015] Figure 1 This is a flow chart of a method for detecting the full performance of a marketing intelligence terminal network access that integrates multi-dimensional verification according to the present invention; Figure 2 This is a flowchart of step S3 of a method for detecting full performance of network access of a marketing smart terminal integrating multi-dimensional verification according to the present invention when the detection scenario is meter reading MAC verification detection; Figure 3 This is a flowchart of step S3 of a method for detecting full performance of network access of a marketing smart terminal integrating multi-dimensional verification according to the present invention when the detection scenario is terminal power-off detection; Figure 4 This is a flowchart of step S3 of a full-performance detection method for marketing smart terminals connected to the network that integrates multi-dimensional verification of the present invention when the detection scenario is power-off detection in the substation. DETAILED DESCRIPTION

[0016] In order to better understand the technical content of the present invention, a specific embodiment is provided below, and the present invention is further described in conjunction with the accompanying drawings.

[0017] See also Figures 1 to 4 The present invention provides a method for detecting the full performance of a marketing smart terminal network access by integrating multi-dimensional verification, comprising the following steps: Step S1: Build a testing platform including a virtual table and connect the marketing intelligence terminal to be tested to the testing platform; Step S2: Select a detection scenario based on the detection requirements to perform network access detection on the marketing smart terminal. The detection scenario includes meter reading MAC verification detection, terminal power-off detection, and station power-off detection. Step S3: Collect the operating data of the marketing intelligence terminal during the detection process and transmit the operating data to the detection platform. The detection platform comprehensively analyzes and processes the operating data to obtain the detection results of the marketing intelligence terminal; Step S4: Comprehensively analyze the test results of all test scenarios and generate a test report on whether the marketing smart terminal meets the network access requirements.

[0018] The present invention is used to perform all-round network access detection on marketing smart terminals. The detection platform built includes functions such as data collection, data processing, power supply control and data analysis. After the detection platform is built, the marketing smart terminal to be detected can be connected to the detection platform, and then different detection scenarios can be selected through power supply control to realize network access detection of the marketing smart terminal, wherein the detection scenarios include meter reading MAC verification detection, terminal power-off detection and station area power-off detection. During meter reading MAC verification detection, the detection platform will send a MAC verification instruction to the marketing smart terminal to be detected. Based on the MAC address returned by the marketing smart terminal and the relevant hardware information preset by the detection platform, format verification, uniqueness verification, binding verification and transmission verification under different network environments are performed in sequence; and when performing terminal power-off detection, the power supply is used to verify the terminal's MAC address. Control, operate according to the set power-off and power-on scenarios, collect the operating parameters of the marketing smart terminal in real time, and transmit them back to the detection platform for processing and analysis; when conducting power-off and power-on detection in the substation, simulate the overall or partial power-off and power-on operation of the substation through power control, collect the electrical parameters and communication data of the marketing smart terminal and the meters in the substation, and transmit them back to the detection platform for analysis. Different detection scenarios will obtain different detection results. Finally, the detection platform conducts a comprehensive analysis of all detection results based on preset algorithms and rules, and obtains the conclusion whether the marketing smart terminal meets the network access requirements, and generates and outputs the detection report. The power grid staff obtains the network access detection conclusion of the marketing smart terminal, and improves the detection efficiency and accuracy of the marketing terminal network access by fully simulating the actual operation detection scenario, ensuring the stable network access and reliable operation of the marketing smart terminal.

[0019] Preferably, when the detection scenario is meter reading MAC verification detection, the specific steps of step S3 are: Step S301: Send a MAC verification instruction to the marketing intelligence terminal. The marketing intelligence terminal collects meter reading data transmitted from the virtual meter, including power data, voltage data, and current data, and generates an expected MAC address. Step S302: The detection platform establishes a dual-state verification model for meter reading MAC verification and receives data transmitted by the marketing smart terminal and the virtual meter; Step S303: When the dual-state verification model is in the MAC verification closed state, compare the meter reading data collected by the marketing intelligence terminal with the correct meter reading data set by the virtual meter; Step S304: When the dual-state verification model is in the MAC verification state, compare the expected MAC address with the correct MAC address reported by the virtual table; Step S305: When the dual-state verification model is in the MAC verification state, the virtual table generates an incorrect MAC address and compares the expected MAC address with the incorrect MAC address; Step S306: If the meter reading data is consistent in the MAC verification state when the MAC verification is turned off, the expected MAC address and the correct MAC address are consistent and the expected MAC address and the wrong MAC address are inconsistent in the MAC verification state when the MAC verification is turned on, and the meter reading MAC verification function of the marketing smart terminal can be flexibly set through buttons and commands, the meter reading MAC verification test is judged to have passed, otherwise it is judged to have failed.

[0020] In addition to performing meter reading MAC verification detection, terminal power-off detection, and substation power-off detection detection on marketing smart terminals, the present invention can also perform detections in other scenarios, such as line adaptive detection, satellite time synchronization and positioning, household meter power-off detection, and exchange event recording. The main detection scenarios are meter reading MAC verification detection, terminal power-off detection, and substation power-off detection. When performing meter reading MAC verification detection, an encryption communication protocol stack and a MAC verification state machine are used to implement hierarchical verification of meter reading data integrity, solving the problem of false activation of the encryption function. First, the detection platform can send a message to the marketing smart terminal. Send MAC verification instructions, the virtual meter in the detection platform can perform RS485 meter reading and carrier meter reading. During the meter reading process, the marketing smart terminal can collect the meter reading data transmitted by the virtual meter, including power data, voltage data and current data, etc., and the marketing smart terminal can set the switch state of its meter reading MAC verification function through its own case operation or command interface. The switch state includes on or off. The marketing smart terminal performs MAC calculation on the meter reading data and generates the expected MAC address. At the same time, the virtual meter will also send the meter reading data and MAC address to the detection platform, which will compare the data. The detection platform is preset The dual-state verification model includes a MAC verification-off state and a MAC verification-on state. When MAC verification is off, there is only one detection mode, which compares the meter reading accuracy when MAC verification is not available. That is, the meter reading data collected by the marketing smart terminal is consistent with the correct meter reading data set by the virtual meter. For example, the forward active power, voltage, and current are compared for consistency. When MAC verification is on, there are two detection modes. The first is that the virtual meter reports the correct MAC address, and the second is to add interference and report an incorrect MAC address. Based on different detection modes, the comparison results are also different. The dual-state verification model can verify the marketing terminal through three detection models and determine whether the test passes based on the test results. Only when the meter reading data is consistent in the MAC verification-off state, and the expected MAC address and the correct MAC address are consistent in the MAC verification-on state, and the expected MAC address and the incorrect MAC address are inconsistent in the MAC verification state, the marketing smart terminal's meter reading MAC verification function can be flexibly configured through buttons and commands, the meter reading MAC verification test is judged to have passed. If the meter reading data is inconsistent, the verification fails, or the function setting is invalid, the test is judged to have failed. If the incorrect MAC address is still successfully collected, it is judged that the verification function is not truly enabled.

[0021] Preferably, when the detection scenario is terminal power-off detection, the specific steps of step S3 include: Step S311: Regulating the output voltage through the programmable power module to simulate a power-off event of the terminal; Step S312: The marketing intelligence terminal collects AC input voltage data and terminal voltage data of the supercapacitor built into the marketing intelligence terminal. After collection, the AC input voltage data and terminal voltage data are filtered, denoised, and feature extracted. Step S313: Compare the AC input voltage data with a preset voltage threshold, and determine a trigger event based on the duration. The trigger event types include a power-off trigger event and a power-on trigger event. Step S314: When a power-off event is triggered, determine whether the time for the supercapacitor to maintain the operation of the marketing smart terminal is greater than a preset time threshold based on the collected terminal voltage data of the supercapacitor; Step S315: If the triggering event is consistent with the simulated terminal power-off event, and the time the supercapacitor maintains the operation of the marketing smart terminal is greater than the preset time threshold, the test is determined to have passed; otherwise, the test is determined to have failed.

[0022] Terminal power-off and power-on detection is based on power switching control and event timing modeling. By simulating the power-off / power-on process, combined with supercapacitor endurance testing and event reporting logic verification, it ensures the reliability and data integrity of the terminal in the event of power anomalies. The detection platform can adjust the output voltage through the programmable power module to simulate the terminal power-off and power-on events. When the programmable power module achieves an output voltage of 0V, it is a simulated power-off event. When the output voltage is the rated voltage, it is a simulated power-on event. The accuracy is ±1%, and the switching response time is <10ms. The AC voltage detection module inside the marketing intelligence terminal can collect AC input voltage data in real time. , and a supercapacitor is set in the marketing smart terminal. During the data collection stage, the supercapacitor voltage sensor is used to collect the terminal voltage of the supercapacitor to determine its working status. After collecting the AC input voltage data and the terminal voltage data, filtering and noise reduction processing are performed to extract the voltage's effective value and duration and other characteristics. When the detection platform simulates the terminal power-off event, the collected AC input voltage data can be compared with the preset voltage threshold, and the duration is combined to determine whether the event is triggered. The trigger event types include triggering power-off events and triggering power-on events. When the AC input voltage data is less than 40% of the rated voltage and the duration is greater than 1 min, it is judged as a power-off event. When the AC input voltage data is greater than 70% of the rated voltage and the duration is greater than 1 minute, it is judged as a power-on event. After the power-off event is triggered, the collected terminal voltage data of the supercapacitor is compared to determine whether the terminal voltage data is greater than the preset maintenance time threshold for more than 3 minutes. In this way, it is determined whether the supercapacitor can maintain the continued use of the marketing smart terminal in the event of a power outage. When the trigger event type is consistent with the terminal power-on event simulated by the detection platform, and the supercapacitor maintenance time is not less than 3 minutes, it can be determined that the terminal power-on test has passed, otherwise it has failed. In addition to the power-on test, In addition to the above two conditions, the conditions for passing the judgment also include continuity detection. The continuity detection includes comparing the number of event records, event attribute flags, and event sources reported by the marketing smart terminal with the preset correct data. The event attribute flags include normal, effective power outage / invalid power outage, and the event sources include power-on and power outage. If the power-off and power-on events are triggered correctly, the supercapacitor maintenance time is not less than 3 minutes, and the various parameters of the event record in the continuity detection are consistent with the model preset, then the terminal power-off and power-on event detection is judged to have passed. If there is an event trigger delay, insufficient maintenance time or incorrect event record parameters, the test is judged to have failed.

[0023] Preferably, when the detection scenario is a power outage detection in a substation, the specific steps of step S3 include: Step S321: Control the power-off and power-on of the substation and simulate the power-off and power-on events of the substation; Step S322: The marketing smart terminal collects three-phase voltage data, simultaneously obtains the voltage data and communication response status of n meters under the substation, collects power outage and power-on event data reported by the meters, and normalizes the three-phase voltage data, meter voltage data, and communication response status into a unified numerical format. Step S323: If the three-phase voltage data is lower than the power outage judgment threshold, n meters report a power outage event, or no meter reports but the voltage data read from n meters is lower than the power outage judgment threshold or all meters do not respond to communication, it is determined to be a power outage event in the substation area; Step S324: If the three-phase voltage data recovers to be higher than the power-on judgment threshold, n meters report a power-on event, or no meter reports but any one of the read meters responds to the communication and the voltage data is higher than the power-on judgment threshold, it is determined to be a power-on event for the substation; Step S325: Compare the judged power outage event and power-on event of the substation with the simulated power outage and power-on event of the substation. If the events are consistent and the backup power supply in the marketing smart terminal meets the meter communication requirements, it is determined that the substation power outage and power-on detection has passed; otherwise, it is determined that the detection has failed.

[0024] When the detection scenario is power outage detection in the substation, multi-source data fusion and random sampling algorithm are used to build an intelligent discrimination model for the power outage status of the substation to solve the misjudgment problem caused by single voltage detection. Similarly, the power outage and power on of the substation are controlled by the detection platform to simulate the power outage events in the substation. The marketing smart terminal collects three-phase voltage data through its own AC sampling module, and reads the voltage data and communication response status of the n meters under its jurisdiction through RS485 or carrier communication. n is at most 3, and the total meter is given priority, and the power outage event data reported by the meter is collected. The three-phase voltage data collected by the marketing smart terminal and the data collected by the meter are normalized and converted into a unified numerical format for analysis. By judging the communication response status of the meter, it can be determined whether the meter is working normally. The power outage judgment threshold is 4 of the rated voltage. 0%, the power-on judgment threshold is 70% of the rated voltage. When the three-phase voltage data is lower than the power outage judgment threshold or higher than the power-on judgment threshold, the power outage events reported by the meters are counted or the read meter voltage and communication status are analyzed. Then, a comprehensive judgment model for power outage and power-on events in the substation is established for judgment. The model is based on the three-phase voltage data collected by the marketing smart terminal, combined with the number of meter event reports and meter status (voltage, communication response) as the judgment basis, and the power outage judgment conditions are set: all terminal voltages are lower than 40% of the rated voltage, and 3 meters report power outage events, or the meter does not report but the voltages of n randomly read meters are all lower than 40% of the rated voltage or all do not respond to communication; power-on judgment conditions: the terminal voltage is restored, and 3 meters report power-on events, or the meter does not report but any one of the randomly read meters responds and the voltage exceeds 70% of the rated voltage. At the same time, the model considers the terminal backup power supply capacity for RS485 and carrier communications to ensure that meter data can be collected normally during the power outage. If the power outage event in the substation can be accurately judged based on the terminal voltage and meter data, the backup power supply capacity meets the communication requirements, and the event reporting format is correct, then the substation power outage event detection is judged to have passed. If the judgment conditions are not met, the backup power supply is insufficient, or the event reporting format is incorrect, then the detection is judged to have failed.

[0025] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for detecting the full performance of marketing intelligence terminals entering the network by integrating multi-dimensional verification, characterized in that: The following steps are involved: Step S1: Build a testing platform including a virtual table and connect the marketing intelligence terminal to be tested to the testing platform; Step S2: Select a detection scenario based on the detection requirements to perform network access detection on the marketing smart terminal. The detection scenario includes meter reading MAC verification detection, terminal power-off detection, and station power-off detection. Step S3: Collect the operating data of the marketing intelligence terminal during the detection process and transmit the operating data to the detection platform. The detection platform comprehensively analyzes and processes the operating data to obtain the detection results of the marketing intelligence terminal; Step S4: Comprehensively analyze the test results of all test scenarios and generate a test report on whether the marketing smart terminal meets the network access requirements.

2. A method for detecting the full performance of a marketing intelligence terminal network access integrating multi-dimensional verification according to claim 1, characterized in that: When the detection scenario is meter reading MAC verification detection, the specific steps of step S3 are: Step S301: Send a MAC verification instruction to the marketing intelligence terminal. The marketing intelligence terminal collects meter reading data transmitted from the virtual meter and generates an expected MAC address. Step S302: The detection platform establishes a dual-state verification model for meter reading MAC verification and receives data transmitted by the marketing smart terminal and the virtual meter; Step S303: When the dual-state verification model is in the MAC verification closed state, compare the meter reading data collected by the marketing intelligence terminal with the correct meter reading data set by the virtual meter; Step S304: When the dual-state verification model is in the MAC verification state, compare the expected MAC address with the correct MAC address reported by the virtual table; Step S305: When the dual-state verification model is in the MAC verification state, the virtual table generates an incorrect MAC address and compares the expected MAC address with the incorrect MAC address; Step S306: If the meter reading data is consistent in the MAC verification off state, and the expected MAC address is consistent with the correct MAC address in the MAC verification on state, and the expected MAC address is inconsistent with the wrong MAC address, the meter reading MAC verification test is determined to have passed; otherwise, the test is determined to have failed.

3. The method for detecting the full performance of a marketing intelligence terminal network access by integrating multi-dimensional verification according to claim 2 is characterized in that: The condition for determining whether the meter reading MAC verification test is passed in step S306 also includes that the meter reading MAC verification function of the marketing smart terminal can be flexibly set through buttons and commands, otherwise it is determined that the test fails.

4. The method for detecting the full performance of a marketing intelligence terminal network access by integrating multi-dimensional verification according to claim 2 is characterized in that: The meter reading data includes electric energy data, voltage data and current data.

5. The method for detecting the full performance of a marketing intelligence terminal network access integrated with multi-dimensional verification according to claim 1 is characterized in that: When the detection scenario is terminal power-off detection, the specific steps of step S3 include: Step S311: Regulating the output voltage through the programmable power module to simulate a power-off event of the terminal; Step S312: The marketing intelligence terminal collects AC input voltage data and terminal voltage data of the supercapacitor built into the marketing intelligence terminal; Step S313: Compare the AC input voltage data with a preset voltage threshold, and determine a trigger event based on the duration. The trigger event types include a power-off trigger event and a power-on trigger event. Step S314: When a power-off event is triggered, determine whether the time for the supercapacitor to maintain the operation of the marketing smart terminal is greater than a preset time threshold based on the collected terminal voltage data of the supercapacitor; Step S315: If the triggering event is consistent with the simulated terminal power-off event, and the time the supercapacitor maintains the operation of the marketing smart terminal is greater than the preset time threshold, the test is determined to have passed; otherwise, the test is determined to have failed.

6. A method for detecting the full performance of a marketing intelligence terminal network access integrating multi-dimensional verification according to claim 5, characterized in that: After being collected, the AC input voltage data and the terminal voltage data are filtered, denoised, and feature extracted.

7. The method for detecting the full performance of a marketing intelligence terminal network access integrated with multi-dimensional verification according to claim 5 is characterized in that: The conditions for determining whether the detection is passed in step S315 also include: comparing the number of event records, event attribute flags, and event sources reported by the marketing intelligence terminal to see whether they are consistent with the preset correct data. The event attribute flags include normal, effective power outage / invalid power outage, and the event sources include power on and power outage.

8. The method for detecting the full performance of a marketing intelligence terminal network access integrated with multi-dimensional verification according to claim 1 is characterized in that: When the detection scenario is a power outage detection in a substation, the specific steps of step S3 include: Step S321: Control the power-off and power-on of the substation and simulate the power-off and power-on events of the substation; Step S322: The marketing smart terminal collects three-phase voltage data, simultaneously obtains voltage data and communication response status of n meters under the substation, and collects power outage and power-on event data reported by the meters; Step S323: If the three-phase voltage data is lower than the power outage judgment threshold, n meters report a power outage event, or no meter reports but the voltage data read from n meters is lower than the power outage judgment threshold or all meters do not respond to communication, it is determined to be a power outage event in the substation area; Step S324: If the three-phase voltage data recovers to be higher than the power-on judgment threshold, n meters report a power-on event, or no meter reports but any one of the read meters responds to the communication and the voltage data is higher than the power-on judgment threshold, it is determined to be a power-on event for the substation; Step S325: Compare the judged power outage event and power-on event of the substation with the simulated power outage and power-on event of the substation. If the events are consistent and the backup power supply in the marketing smart terminal meets the meter communication requirements, it is determined that the substation power outage and power-on detection has passed; otherwise, it is determined that the detection has failed.

9. A method for detecting the full performance of a marketing intelligence terminal network access integrating multi-dimensional verification according to claim 8, characterized in that: The three-phase voltage data, meter voltage data and communication response status are normalized and converted into a unified numerical format.

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