Terminal operation visualization system, method and equipment based on Internet of Things platform and medium

Abstract

The invention relates to the technical field of terminal operation of an Internet of Things platform, and discloses a terminal operation visualization system, method and device based on the Internet of Things platform and a medium. According to the method, the system comprises an electric red-honed terminal access and authentication module, an internet-of-things data acquisition and secure transmission module, a terminal state modeling and analysis module, an operation scene integration and extension module and a visualization and interaction control module. According to the system, real-time data of a transmission terminal is encrypted through a domestic password, an electric red-honed terminal digital twin sub-model is constructed according to partitions, deviation is compared with an actual operation scene after integration, a missing operation scene is automatically expanded, and finally high-fidelity visualization and interactive simulation are achieved. The system provided by the invention meets the power monitoring safety protection requirement, improves the terminal state sensing precision and the operation and maintenance decision efficiency, and has good safety, expansibility and engineering practicability.

Description

Technical Field

[0001] This invention relates to the field of terminal operation technology for Internet of Things (IoT) platforms, and in particular to a terminal operation visualization system, method, device, and medium based on an IoT platform. Background Technology

[0002] With the accelerated development of the power Internet of Things (IoT) at present, a large number of power terminals based on the HarmonyOS operating system need to be configured on the power consumption side of the power IoT. The HarmonyOS operating system mentioned here covers various types of operating systems such as smart meters, edge gateways, and sensing devices.

[0003] However, there are many problems with the current terminal operation and management of these operating systems. For example, some operating systems focus on access but do not pay much attention to the visualization process, while others focus on the data acquisition process but do not pay attention to the analysis process after data acquisition. This results in the lack of a unified and secure transmission mechanism for terminal data acquisition, making it difficult to meet the requirements of "horizontal isolation and vertical authentication" in the "Regulations on Security Protection of Power Monitoring Systems". Moreover, many existing visualization systems use static topology to display data, and there is no way to build a dynamic digital twin model based on real-time operating data for display, let alone display missing scenarios such as communication interruptions or extreme operating conditions. There is simply no existing operation that can effectively extrapolate and supplement the data.

[0004] In addition, some existing technical solutions have limited processing methods for data processing of different regions or different types of terminals. They cannot achieve the two operations of partition modeling and differentiated simulation. The inability to achieve these two operations makes it difficult for maintenance personnel to accurately grasp the health status of terminals across the entire domain, which further leads to delayed fault warnings and makes it impossible to achieve remote control operations. Summary of the Invention

[0005] In view of the aforementioned existing problems, the present invention is proposed.

[0006] Therefore, this invention provides a terminal operation visualization system, method, device and medium based on an Internet of Things platform, which can solve problems such as insufficient data transmission security, lack of dynamic digital twin model construction, difficulty in deduce and complete missing scenarios and single data processing strategy in existing terminal operation management.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a terminal operation visualization system based on an Internet of Things (IoT) platform, comprising: The module includes: terminal access and authentication module, IoT data acquisition and secure transmission module, terminal status modeling and analysis module, operation scenario integration and expansion module, and visualization and interactive control module. The Elec-Hong terminal access and authentication module is used to identify and securely register the target Elec-Hong terminal, and send the authenticated Elec-Hong terminal identification information and device metadata to the IoT data acquisition and secure transmission module. The IoT data acquisition and secure transmission module is used to collect real-time operating status data from the corresponding registered Dianhong terminal based on the Dianhong terminal identification information, encrypt the real-time operating status data, and send the encrypted real-time operating status data to the terminal status modeling and analysis module. The terminal status modeling and analysis module is used to receive the encrypted real-time operating status data, decrypt it, and combine it with the terminal type and business attributes in the device metadata to perform partition modeling, generate multiple partitioned digital twin sub-models of the Dianhong terminal, and send the multiple partitioned digital twin sub-models of the Dianhong terminal to the operation scenario integration and extension module.

[0008] As a preferred embodiment of the terminal operation visualization system based on the Internet of Things platform described in this invention, it further includes: The operation scenario integration and expansion module is used to receive the digital twin sub-models of the Dianhong terminal from the multiple partitions, integrate them into a total digital twin model of the entire Dianhong terminal, and compare the total digital twin model of the entire Dianhong terminal with the historical actual operation data. If there is a deviation exceeding the threshold, the missing operation scenario model is expanded to obtain the expanded total digital twin model of the entire Dianhong terminal, and the expanded total digital twin model of the entire Dianhong terminal is sent to the visualization and interactive control module. The visualization and interactive control module is used to receive the expanded global terminal digital twin model and generate a graphical user interface based on the model to realize the visualization display and interactive operation simulation of the terminal's operating status.

[0009] As a preferred embodiment of the terminal operation visualization system based on the Internet of Things platform described in this invention, the Elec-Tech terminal access and authentication module performs the following operations: Receive the access request message sent by the target terminal; Extract the device fingerprint and digital certificate from the access request message; The device fingerprint is matched with a pre-stored database of legitimate device fingerprints, and the validity of the digital certificate is verified by calling the unified cryptographic service platform. If the match is successful and the certificate is valid, device metadata containing the terminal's unique identifier, the unit to which it belongs, the device model, and the access time will be generated, and the device metadata will be sent to the IoT data acquisition and secure transmission module. If a match fails or the certificate is invalid, access is denied and the exception event log is written to the security audit database.

[0010] As a preferred embodiment of the terminal operation visualization system based on the Internet of Things (IoT) platform described in this invention, the IoT data acquisition and secure transmission module performs the following operations: Establish a data acquisition channel with the corresponding Elec-Hong terminal based on the device metadata received from the Elec-Hong terminal access and authentication module. The raw sensor data, including voltage, current, online status, communication delay, and firmware version, are periodically acquired through the data acquisition channel. The original sensor data is standardized and anomalies are removed to form preprocessed real-time operating status data; The preprocessed real-time operating status data is encrypted using the SM4 domestic cryptographic algorithm to generate encrypted real-time operating status data; The encrypted real-time operating status data is sent to the terminal status modeling and analysis module through an independent secure channel on the information intranet.

[0011] As a preferred embodiment of the terminal operation visualization system based on the Internet of Things platform described in this invention, the terminal status modeling and analysis module performs the following operations: It receives encrypted real-time operating status data from the IoT data acquisition and secure transmission module, and decrypts it using the decryption key provided by the unified cryptographic service platform to obtain the decrypted real-time operating status data. Based on the device metadata obtained synchronously from the Dianhong terminal access and authentication module, the area is divided into three zones according to the power distribution area to which the terminal belongs: industrial zone, commercial zone, and residential zone. For each partition, a digital twin sub-model of the eHong terminal is constructed, which includes topological connection relationships, normal range thresholds of parameters, and historical behavior patterns. Calculate the state prediction value of each digital twin sub-model of the Dianhong terminal in the future time period, and calculate the deviation value by comparing the state prediction value with the historical actual operation data of the corresponding time period; The data packet containing the digital twin sub-models of each zone's Dianhong terminal and their corresponding deviation values ​​is sent to the operation scenario integration and extension module.

[0012] As a preferred embodiment of the terminal operation visualization system based on the Internet of Things platform described in this invention, the operation scenario integration and expansion module performs the following operations: Receive the digital twin sub-models of each partition of the Dianhong terminal and their corresponding deviation values ​​from the terminal status modeling and analysis module; The digital twin sub-models of each regional e-commerce terminal are merged into a global e-commerce terminal digital twin model. Determine whether any deviation value is greater than a preset first deviation threshold; If all deviation values ​​are not greater than the first deviation threshold, the overall digital twin model of the whole domain terminal is marked as a valid model and sent to the visualization and interactive control module. If at least one deviation value is greater than the first deviation threshold, a missing scene feature vector is generated based on the terminal type, time period and environmental context information corresponding to the deviation value, and new virtual running scene data is synthesized based on the missing scene feature vector. The virtual operation scenario data is fed back to the terminal status modeling and analysis module, triggering a new round of modeling and deviation calculation until all deviation values ​​meet the first deviation threshold. Finally, the overall digital twin model of the entire Dianhong terminal that meets the conditions is sent to the visualization and interactive control module.

[0013] As a preferred embodiment of the terminal operation visualization system based on the Internet of Things platform described in this invention, the visualization and interaction control module includes: a graphical user interface design unit, an interaction control unit, and a data export and sharing unit. The graphical user interface design unit is used to receive the overall digital twin model of the entire Dianhong terminal from the operation scenario integration and extension module, and render and display the terminal geographical distribution heat map, online rate trend curve and real-time alarm list. The interactive control unit is used to receive remote operation commands input by the user through the graphical user interface, and encapsulate the remote operation commands into control messages and send them to the corresponding terminal. The data export and sharing unit is used to export the current visualized terminal operation status view as a PDF or JSON file, and push the file to a third-party operation and maintenance management system through an HTTPS secure interface.

[0014] Secondly, the present invention provides a terminal operation visualization method based on an Internet of Things (IoT) platform, comprising: The Dianhong terminal access and authentication module performs identity recognition and secure registration of the target Dianhong terminal, and sends the device metadata to the IoT data acquisition and secure transmission module; The IoT data acquisition and secure transmission module collects real-time operating status data of the Dianhong terminal based on the device metadata, encrypts it, and sends it to the terminal status modeling and analysis module. The terminal status modeling and analysis module decrypts the data and constructs a digital twin sub-model of the Dianhong terminal in different partitions, which is then sent to the operation scenario integration and expansion module. The operation scenario integration and expansion module integrates the model, compares deviations, expands missing scenarios, and sends the final full-domain Dianhong terminal digital twin model to the visualization and interactive control module. The visualization and interactive control module realizes the visualization display and interactive operation simulation of the terminal's operating status based on the overall digital twin model of the global terminal.

[0015] Thirdly, the present invention provides an electronic device including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method described above.

[0016] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method described above.

[0017] Compared with existing technologies, the beneficial effects of this invention are that it proposes a terminal operation visualization system based on an Internet of Things (IoT) platform. The system includes a terminal access and authentication module, an IoT data acquisition and secure transmission module, a terminal status modeling and analysis module, an operation scenario integration and expansion module, and a visualization and interactive control module. This invention uses domestically produced cryptographic encryption to transmit real-time terminal data, then constructs digital twin sub-models of the terminal by partition, integrates them, compares the results with actual operating scenarios to identify discrepancies, and automatically expands missing operating scenarios, ultimately achieving visualization and interactive simulation. This system meets the security protection requirements of power monitoring and improves the accuracy of terminal status perception and the efficiency of operation and maintenance decision-making. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the system structure of a terminal operation visualization system based on an Internet of Things platform, provided as an embodiment of the present invention.

[0020] Figure 2 This is an internal structure diagram of an electronic device for a terminal operation visualization system based on an Internet of Things (IoT) platform, provided as an embodiment of the present invention. Detailed Implementation

[0021] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0022] Example 1, referring to Figure 1 This is the first embodiment of the present invention, which provides a terminal operation visualization system based on an Internet of Things (IoT) platform, comprising: Figure 1 A schematic diagram of the system architecture of a terminal operation visualization system based on an Internet of Things (IoT) platform is shown, including: The module includes: a terminal access and authentication module 100, an IoT data acquisition and secure transmission module 200, a terminal status modeling and analysis module 300, an operation scenario integration and expansion module 400, and a visualization and interactive control module 500. The Elec-Hong terminal access and authentication module 100 is used to identify and securely register the target Elec-Hong terminal, and send the authenticated Elec-Hong terminal identification information and device metadata to the IoT data acquisition and secure transmission module 200. The IoT data acquisition and secure transmission module 200 is used to collect real-time operating status data from the corresponding registered Dianhong terminal based on the Dianhong terminal identification information, encrypt the real-time operating status data, and send the encrypted real-time operating status data to the terminal status modeling and analysis module 300. The terminal status modeling and analysis module 300 is used to receive encrypted real-time operating status data, decrypt it, and combine it with the terminal type and business attributes in the device metadata to perform partition modeling, generate multiple partitioned digital twin sub-models of the Dianhong terminal, and send the multiple partitioned digital twin sub-models of the Dianhong terminal to the operation scenario integration and extension module 400.

[0023] The operation scenario integration and expansion module 400 is used to receive the digital twin sub-models of the Dianhong terminal from multiple partitions, integrate them into the overall digital twin model of the Dianhong terminal, and compare the overall digital twin model of the Dianhong terminal with the historical actual operation data. If there is a deviation exceeding the threshold, the missing operation scenario model is expanded to obtain the expanded overall digital twin model of the Dianhong terminal, and the expanded overall digital twin model of the Dianhong terminal is sent to the visualization and interactive control module 500. The visualization and interactive control module 500 is used to receive the expanded global digital twin model of the terminal and generate a graphical user interface based on the model to realize the visualization display and interactive operation simulation of the terminal's operating status.

[0024] In this embodiment of the invention, the Elec-Tech terminal access and authentication module 100 performs the following operations: Receive the access request message sent by the target terminal; Extract the device fingerprint and digital certificate from the access request message; The device fingerprint is matched with a pre-stored database of legitimate device fingerprints, and the unified cryptographic service platform is invoked to verify the validity of the digital certificate. If the match is successful and the certificate is valid, device metadata containing the terminal's unique identifier, the unit to which it belongs, the device model, and the access time will be generated and sent to the IoT data acquisition and secure transmission module 200. If a match fails or the certificate is invalid, access is denied and the exception event log is written to the security audit database.

[0025] In some embodiments, the message mentioned in the access request message sent by the target e-Hong terminal access and authentication module 100 is initiated by the e-Hong terminal when it first goes online or reconnects to the platform. For example, after a smart meter in a residential area completes a firmware upgrade and reconnects to the Internet of Things platform, it will send an access request message containing its own identity information to the e-Hong terminal access and authentication module 100.

[0026] In some embodiments, the operation of extracting device fingerprints and digital certificates from access request messages is a process of parsing the previously obtained message structure to finally obtain a unique hardware-level identifier and an X.509 format digital certificate issued by a trusted CA authority in the power industry. For example, the device fingerprint can be generated by combining the terminal main control chip serial number, MAC address, and operating system version hash value, while the digital certificate is embedded in the Elec-Tech terminal security chip and will be uploaded along with the message each time access is granted.

[0027] In some embodiments, the process of matching the device fingerprint with a pre-stored database of legitimate device fingerprints refers to pre-storing a whitelist of legitimate terminal fingerprints authorized and registered by the power company in a local secure storage area. Matching operations can be performed through this whitelist. For example, when an edge gateway in an industrial zone attempts to access the network, the system compares the device fingerprint it reports with the corresponding records of the unit and device model in the whitelist byte by byte. If there is any difference in any byte, it is considered a mismatch.

[0028] In some embodiments, the verification of the validity of a digital certificate by calling the Unified Cryptography Service Platform can be achieved by querying the certificate status in real time through the standard OCSP protocol and verifying whether the signature chain is issued by a root certificate recognized by the State Grid. For example, if the certificate held by a sensor device in a commercial area has expired or been revoked, the Unified Cryptography Service Platform will return a verification failure result.

[0029] In some embodiments, if the match is successful and the certificate is valid, device metadata containing the terminal's unique identifier, affiliated unit, device model, and access time is generated. The metadata mentioned here can be organized in a structured JSON format. For example, the terminal's unique identifier is a globally unique UUID string, the affiliated unit is "XX City Power Supply Company Distribution Operation and Maintenance Center", the device model is "EHB-202*-Meter-V3", and the access time is the ISO 8601 standard timestamp "202*-11-24T15:30:22+08:00". After obtaining this data, the device metadata needs to be sent to the IoT data acquisition and secure transmission module 200 through the internal message bus to establish a subsequent acquisition channel.

[0030] In some embodiments, if a match fails or the certificate is invalid, the network access permission of the terminal is denied. At the same time, an abnormal event log containing the terminal IP address, reported fingerprint, certificate serial number, failure reason code, and timestamp is written to a separately deployed security audit database. For example, if an unauthorized third-party counterfeit terminal attempts to impersonate a residential electricity meter to access the system, because its device fingerprint is not in the legitimate database and the certificate is not issued by an electricity CA, the system will immediately block the connection and record complete attack attempt information for post-attack tracing and analysis.

[0031] The device metadata here refers to the set of information used to uniquely identify and describe the static attributes of the certified Dianhong terminal, including four immutable fields: terminal unique identifier, affiliated unit, device model, and access time.

[0032] In this embodiment of the invention, the IoT data acquisition and secure transmission module 200 performs the following operations: Based on the device metadata received from the Elec-Hong terminal access and authentication module 100, a data acquisition channel with the corresponding Elec-Hong terminal is established. The raw sensor data, including voltage, current, online status, communication delay, and firmware version, are periodically acquired through the data acquisition channel. The raw sensor data is standardized in format and anomalies are removed to form preprocessed real-time operating status data. The preprocessed real-time running status data is encrypted using the SM4 domestic cryptographic algorithm to generate encrypted real-time running status data; The encrypted real-time operational status data is sent to the terminal status modeling and analysis module 300 via an independent secure channel on the information intranet.

[0033] In some embodiments, when establishing a data acquisition channel with the corresponding Elec-Hong terminal based on the device metadata received from the Elec-Hong terminal access and authentication module 100, the system will parse the terminal's unique identifier and the unit information in the device metadata, and then dynamically configure the dedicated communication port and protocol parameters. For example, when the device metadata indicates that the target terminal is an edge gateway with the number ID-IND-8872 in a certain industrial zone and the unit is "**Power Grid Distribution Operation and Maintenance Department", the IoT data acquisition and secure transmission module 200 will allocate an independent MQTT topic path " / grid / industrial / ID-IND-8872 / data" for it, and at the same time enable TLS 1.3 encrypted connection operation to ensure the isolation of the channel.

[0034] In some embodiments, the acquisition period for the raw sensor data, including voltage, current, online status, communication delay, and firmware version, acquired periodically through the data acquisition channel is determined by the terminal type. For example, a smart meter in a residential area reports a voltage value of 220.3 volts, a current value of 5.7 amps, an online status of 1, a communication delay of 42 milliseconds, and a firmware version of EHB-FW-202*.11 every 15 seconds, while a high-load terminal in an industrial area needs to report every 5 seconds. This classification design ensures that the status is traceable even under high-frequency operating conditions.

[0035] In some embodiments, when standardizing the format and removing anomalies from the raw sensor data, data with different dimensions can be mapped to a unified numerical range. For example, voltage can be uniformly normalized to the range of 180 to 260 volts, and current can be linearly scaled from 0 to 10 amps. Then, abrupt changes can be statistically removed based on a sliding window. For example, if a terminal in a commercial area reports a current of 3.1 to 3.4 amps in 10 consecutive reports, and then suddenly increases to 15 amps in the 11th report for less than 1 second, it is determined to be transient interference from the sensor and is removed.

[0036] In some embodiments, when encrypting the preprocessed real-time operating status data using the domestic SM4 cryptographic algorithm, it is necessary to use a session key dynamically distributed by the unified cryptographic service platform to perform symmetric encryption. For example, the standardized data vector [0.85, 0.57, 1, 0.042, "EHB-FW-2024.11"] is encoded with ASN.1 and input into the SM4 encryption function to output a 128-bit ciphertext block, ensuring compliance with the technical requirements for vertical authentication in the "Regulations on Security Protection of Power Monitoring Systems".

[0037] In some embodiments, encrypted real-time operational status data is sent to the terminal status modeling and analysis module 300 through an independent secure channel within the information intranet. The channel mentioned is a physically isolated dedicated VLAN for the power dispatch data network, which must be prohibited from any external routing access. For example, encrypted data packets are transmitted unidirectionally to the intranet modeling server via a forward isolation device deployed in the secure access zone, with no plaintext exposure throughout the process, eliminating the risk of man-in-the-middle attacks or data tampering.

[0038] The preprocessed real-time running status data refers to the structured, highly reliable terminal running status vector formed after format standardization and anomaly removal, which is used for subsequent encryption and modeling analysis.

[0039] In this embodiment of the invention, the terminal state modeling and analysis module 300 performs the following operations: It receives encrypted real-time operating status data from the IoT data acquisition and secure transmission module 200, and decrypts it using the decryption key provided by the unified cryptographic service platform to obtain the decrypted real-time operating status data. Based on the device metadata synchronously obtained from the Dianhong terminal access and authentication module 100, the area is divided into three zones according to the power distribution area to which the terminal belongs: industrial zone, commercial zone, and residential zone. For each partition, a digital twin sub-model of the eHong terminal is constructed, which includes topological connection relationships, normal range thresholds of parameters, and historical behavior patterns. Calculate the state prediction value of each digital twin sub-model of the Dianhong terminal in the future period, and calculate the deviation value by comparing the state prediction value with the historical actual operation data of the corresponding period. The data packet containing the digital twin sub-models of each zone's Dianhong terminal and their corresponding deviation values ​​is sent to the operation scenario integration and extension module 400.

[0040] In some embodiments, when receiving encrypted real-time operating status data from the IoT data acquisition and secure transmission module 200, the terminal status modeling and analysis module 300 subscribes to the corresponding topic's data stream through the intranet message queue. For example, when the encrypted data packet from the industrial zone edge gateway ID-IND-8872 arrives, the system immediately calls the SM4 decryption interface provided by the unified cryptographic service platform, uses the session key paired with the encryption stage to perform the decryption operation, and restores the original values ​​such as voltage 221.5 volts, current 6.2 amps, online status 1, communication delay 38 milliseconds, and firmware version EHB-FW-2024.11.

[0041] In some embodiments, when dividing the device metadata synchronously obtained from the Dianhong terminal access and authentication module 100 into three zones—industrial zone, commercial zone, and residential zone—based on the distribution area to which the terminal belongs, it is necessary to map the device metadata according to the unit field. For example, terminals marked as belonging to "Industrial Park Power Supply Station" in the device metadata are automatically assigned to the industrial zone, those marked as belonging to "Urban Business District Operation and Maintenance Group" are assigned to the commercial zone, and those marked as belonging to "Community Power Distribution Service Station" are assigned to the residential zone, ensuring that the zoning strategy is consistent with the actual power grid management architecture.

[0042] In some embodiments, a digital twin sub-model of the smart meter terminal is constructed for each partition, including topological connections, normal parameter range thresholds, and historical behavior patterns. In this construction process, a directed graph-like topological connection relationship needs to be built based on the terminal's unique identifier and communication link. For example, in a commercial area sub-model, the central edge gateway acts as the parent node, connecting 12 subordinate smart meters. The edge weight is calculated inversely proportional to the communication latency. Then, the normal parameter range threshold needs to be set according to the device model. For example, the normal voltage range of the EHB-2024-Meter-V3 smart meter in the residential area is 215 to 225 volts, the current limit is 10 amps, the expected value of the online status is 1, and the communication latency tolerance limit is 100 milliseconds. At the same time, typical behavior pattern sequences can be generated by K-means clustering using historical operating data from the past 30 days. For example, the residential area terminal exhibits a peak electricity consumption pattern from 7 pm to 10 pm every day, with an average current of 7.8 amps. This pattern is solidified as the historical behavior baseline.

[0043] In some embodiments, the aforementioned calculation of the state prediction value of each digital twin sub-model of the terminal in future time periods can be performed by using an LSTM neural network to perform rolling prediction on the standardized time series data. For example, the voltage and current of a terminal in an industrial area can be predicted minute by minute for the next 10 minutes, and a prediction vector can be output. Then, the prediction vector can be compared with the historical actual operating data of the same period stored in the database to calculate the Euclidean distance and obtain the deviation value. For example, if the predicted current is 8.1 amps and the actual recorded current is 9.6 amps, the deviation value is 1.5 amps, which is 0.15 after normalization.

[0044] In some embodiments, the data packets containing the digital twin sub-models of each zone's Dianhong terminal and their corresponding deviation values ​​are sent to the operation scenario integration and extension module 400 using Protocol Buffers serialization format. For example, the industrial zone sub-model has a deviation value of 0.12, the commercial zone has 0.08, and the residential zone has 0.18. All content is packaged into a single message body and reliably transmitted through the internal gRPC interface to ensure that the model and deviation information are strictly synchronized.

[0045] Among them, the digital twin sub-model of the terminal refers to a dynamic simulation model built for a specific power distribution area, which integrates topology, parameter thresholds and historical behavioral characteristics, and is used to characterize the operating rules and state evolution trend of the terminal group in the area.

[0046] In this embodiment of the invention, the operation scenario integration and expansion module 400 performs the following operations: Receive the digital twin sub-models of each partitioned E-Town terminal and their corresponding deviation values ​​from the terminal status modeling and analysis module 300; The digital twin sub-models of each zone's e-commerce terminal are merged into a unified digital twin model of the entire e-commerce terminal. Determine whether any deviation value is greater than a preset first deviation threshold; If all deviation values ​​are not greater than the first deviation threshold, the overall digital twin model of the whole domain Dianhong terminal is marked as a valid model and sent to the visualization and interactive control module 500. If at least one deviation value is greater than the first deviation threshold, a missing scene feature vector is generated based on the terminal type, time period and environmental context information corresponding to the deviation value, and new virtual running scene data is synthesized based on the missing scene feature vector. The virtual operation scenario data is fed back to the terminal status modeling and analysis module 300, triggering a new round of modeling and deviation calculation until all deviation values ​​meet the first deviation threshold. Finally, the overall digital twin model of the entire Dianhong terminal that meets the conditions is sent to the visualization and interactive control module 500.

[0047] In some embodiments, during the operation of receiving the digital twin sub-models of each zone of the terminal from the terminal state modeling and analysis module 300 and their corresponding deviation values, the operation scenario integration and extension module 400 synchronously obtains the three sub-models of industrial area, commercial area and residential area and their respective deviation values ​​through a high-throughput message bus. For example, the industrial area sub-model has a deviation value of 0.12, the commercial area has a deviation value of 0.08, and the residential area has a deviation value of 0.18. All data carries a timestamp and a zone identifier to ensure consistency.

[0048] In some embodiments, the process of merging the digital twin sub-models of each regional power IoT terminal into a global power IoT terminal digital twin model can employ a graph fusion algorithm to merge three directed topology graphs into a single global topology graph covering the entire network, and unify the parameter threshold space and behavior pattern library. For example, the current threshold upper limit of 15 amps for high-load terminals in industrial areas, 10 amps for commercial areas, and 8 amps for residential areas can be retained in their respective node attributes. At the same time, a cross-regional communication link mapping relationship can be established in the overall model to form a complete power IoT terminal operation mirror.

[0049] In some embodiments, in the operation of determining whether any deviation value is greater than a preset first deviation threshold, the first deviation threshold is set to 0.15 by the historical statistical distribution of operation and maintenance. The system compares the deviation values ​​of each partition item by item. For example, when the deviation value of 0.18 in the residential area is detected to exceed the threshold of 0.15, the missing scene completion process is immediately triggered.

[0050] In some embodiments, if all deviation values ​​are not greater than the first deviation threshold, the overall digital twin model of the entire domain terminal is marked as a valid model and pushed to the visualization and interaction control module 500 via the internal API. For example, when the values ​​of industrial area (0.10), commercial area (0.09), and residential area (0.14) are all lower than 0.15, the system generates a model validity signature and starts the visualization rendering process.

[0051] In some embodiments, if at least one deviation value is greater than the first deviation threshold, a missing scene feature vector is generated based on the terminal type, time period and environmental context information corresponding to the deviation value. For example, the deviation in the residential area exceeds the limit at 18:30 on November 24, 202*, corresponding to the terminal type EHB-202*-Meter-V3. The environmental context includes the temperature dropping sharply to 5 degrees Celsius and the area load rate suddenly increasing to 92%. The system encodes these elements into a feature vector ["residential area", "EHB-202*-Meter-V3", "18:30", "low temperature", "high load"].

[0052] In some embodiments, the operation of synthesizing new virtual operating scenario data based on missing scenario feature vectors requires calling a generative adversarial network to simulate terminal responses under extreme conditions. For example, a set of synthetic data is generated, such as voltage fluctuations up to 210 volts, current surges to 9.5 amps, and communication delays increase to 120 milliseconds, to characterize the abnormal behavior that the meter may exhibit under low temperature and high load conditions.

[0053] In some embodiments, virtual operation scenario data can be fed back to the terminal status modeling and analysis module 300 to trigger a new round of modeling and deviation calculation. For example, the terminal status modeling and analysis module 300 incorporates the synthetic data into the residential area training set, reconstructs the digital twin sub-model, and outputs a deviation value of 0.13 again. After multiple iterations, the deviation values ​​of all partitions are reduced to below 0.15. Finally, the overall digital twin model of the entire Dianhong terminal that meets the conditions is sent to the visualization and interactive control module 500 for high-fidelity display.

[0054] The missing scenario feature vector refers to a structured input consisting of terminal type, time period of deviation occurrence, and environmental context information. It is used to drive the accurate synthesis of virtual operating scenarios, covering extreme or abnormal operating conditions that are difficult to collect in reality but necessary for operation and maintenance.

[0055] In an embodiment of the present invention, the visualization and interactive control module 500 includes: a graphical user interface design unit, an interactive control unit, and a data export and sharing unit; The graphical user interface design unit is used to receive the overall digital twin model of the entire domain of the Dianhong terminal from the operation scenario integration and extension module 400, and render and display the terminal geographical distribution heat map, online rate trend curve and real-time alarm list. The interactive control unit is used to receive remote operation commands input by the user through the graphical user interface, and encapsulate the remote operation commands into control messages and send them to the corresponding terminal. The data export and sharing unit is used to export the current visualized terminal operation status view as a PDF or JSON file and push the file to a third-party operation and maintenance management system via an HTTPS secure interface.

[0056] In some embodiments, during the step of the graphical user interface design unit receiving the overall digital twin model of the entire network terminal from the operation scenario integration and extension module 400, it is necessary to render three core visualization contents in real time. For example, the terminal geographical distribution heat map uses a city map as the base map and marks 872 terminals in the industrial area, 635 terminals in the commercial area, and 1420 terminals in the residential area according to coordinates. The color depth reflects the online density, with red areas indicating high-density online and gray areas indicating offline. The online rate trend curve shows the change in the online rate of the entire network terminals in the past 24 hours. The horizontal axis is time and the vertical axis is percentage. The curve shows a slight drop at 19:00 during the evening peak, reflecting that some residential area terminals are temporarily offline due to overload. The specific real-time alarm list dynamically scrolls to display the current abnormal events, such as "Residential Area Terminal ID-RES-3341: Voltage 210V is lower than the threshold 215V, lasting for 120 seconds". Each alarm includes the terminal identifier, parameter type, over-limit value, and duration.

[0057] In some embodiments, the interactive control unit receives remote operation instructions input by the user through the graphical user interface. The user interface needs to support clicking on the terminal icon in the heat map to pop up an operation menu. For example, after the maintenance personnel select the industrial zone edge gateway ID-IND-8872 and select the "remote restart" instruction, the system immediately verifies the user's permissions and signs the instruction using the national cryptographic SM2 algorithm. Then, the instruction is encapsulated into a standard control message. For example, the message structure includes the target terminal's unique identifier ID-IND-8872, the operation type REBOOT, the timestamp 202*-11-24T16:05:10+08:00, and a digital signature field, and is sent to the corresponding Elec-Tech terminal for execution via a secure channel.

[0058] In some embodiments, the step of exporting the current visualized terminal operation status view to a PDF or JSON format file by the data export and sharing unit includes a heatmap screenshot, a trend curve image, and an alarm list table, which is suitable for daily report printing and archiving. The JSON file retains the original structured data, such as all terminal coordinates, online status, parameter values, and model version numbers, which is convenient for program parsing.

[0059] In some embodiments, the step of pushing files to a third-party operation and maintenance management system via an HTTPS secure interface can employ two-way certificate authentication to establish an encrypted connection. For example, the generated JSON file can be pushed to the provincial power distribution automation master station system, with the target address being *** / api / v1 / terminal / status. The entire transmission process is encrypted and audit logs are recorded to ensure the security and traceability of cross-platform data sharing.

[0060] The control message here refers to a standardized instruction carrier that encapsulates the target terminal's unique identifier, operation type, timestamp, and digital signature, and is used to transmit trusted remote control commands between the visual interface and the Elec-Tech terminal.

[0061] In summary, this invention proposes a terminal operation visualization system based on an IoT platform. The system includes a terminal access and authentication module, an IoT data acquisition and secure transmission module, a terminal status modeling and analysis module, an operation scenario integration and expansion module, and a visualization and interactive control module. The system transmits real-time terminal data using domestically produced cryptographic encryption, constructs digital twin sub-models of the Dianhong terminal by partition, compares the integrated models with actual operating scenarios to identify discrepancies, and automatically expands missing operating scenarios, ultimately achieving high-fidelity visualization and interactive simulation. This invention's system meets the security protection requirements of power monitoring, improves the accuracy of terminal status perception and the efficiency of operation and maintenance decision-making, and possesses good security, scalability, and engineering practicality.

[0062] Example 2: Based on the above examples, a specific implementation of a terminal operation visualization system based on an IoT platform can be designed as follows: Terminal identification and security registration can be performed first through the Elec-Honda terminal access and authentication module. This is typically done by receiving an access request message R from the target Elec-Honda terminal. From this access request message, the device fingerprint F and digital certificate C can be extracted, which can be represented as: Where F represents a unique, unforgeable identifier generated by the terminal hardware or software, and C represents a digital credential issued by a trusted authority for identity verification.

[0063] Furthermore, once the device's fingerprint and digital certificate are obtained, F can be compared with a pre-stored database of legitimate device fingerprints. The matching operation has been performed. At the same time, the unified cryptographic service platform can be called to perform certificate validity verification of digital certificates. Specifically, the verification can be performed through the certificate validity verification function Verify(C). The return value of this function is a boolean value, so the specific conclusion can be easily obtained.

[0064] Furthermore, the combined result of the above matching and validation can be denoted as M, and M can be specifically represented as: In the formula, M=1 indicates that the terminal is legitimate and the certificate is valid, while M=0 indicates that there is a security risk.

[0065] In practical applications, it is only necessary to select when M=1 to generate device metadata for transmission and subsequent operations. This device metadata can be denoted as D, and the specific form of D can be set as a quadruple: Where ID represents the unique identifier of the terminal, U represents the affiliated unit, and T represents the device model. This indicates the access time; the "D" can be understood as a static, inherent identity attribute.

[0066] Furthermore, once the device metadata is obtained, it can be sent to the IoT data acquisition and secure transmission module for subsequent operations. This data can serve as the basis for establishing data channels and acquisition strategies.

[0067] It should be noted that the above matching and verification can ensure the secure operation of the entire system. If this authentication process is skipped and data is collected directly, it may result in the collection of false information injected by unauthorized terminals, thereby affecting the entire system.

[0068] It should be noted that once the IoT data acquisition and secure transmission module obtains the device's metadata D, it can perform secure acquisition and encrypted transmission of operational status data.

[0069] Furthermore, a dedicated data acquisition channel for the corresponding terminal can be established for the received device metadata D. This ensures data accuracy and allows for the periodic acquisition of vectors from the raw sensor data. These vectors simplify subsequent encryption and decryption processes. Specifically, the vector of the raw sensor data can be represented as: In the formula, V represents voltage, I represents current, O represents online status (0 or 1, where 0 indicates offline), and L represents communication delay. Indicates the firmware version.

[0070] Furthermore, after obtaining the raw sensor data vector, preprocessing is required on the clustered values ​​of this vector. Preprocessing can effectively improve the efficiency of the raw sensor data vector. This preprocessing can involve standardizing the format of S and removing outliers, thereby obtaining more effective preprocessed real-time operating status data. , can be represented as: In this invention, Normalize(·) represents normalizing data of different dimensions to a unified numerical range, and Clean(·) represents removing abrupt changes based on sliding window statistics or threshold rules. These are general preprocessing steps and are not limited here. Relevant technicians can perform more precise or more fuzzy preprocessing operations according to actual needs.

[0071] In practical applications, the SM4 domestic cryptographic algorithm can be used to process the real-time running status data obtained after preprocessing. The encryption operation is performed, and the resulting encrypted data can be denoted as E: In the formula, (·) indicates the use of the SM4 symmetric encryption function certified by the State Cryptography Administration.

[0072] It should be noted that once encryption is complete, this E can be sent to the terminal state modeling and analysis module through an independent secure channel within the information intranet.

[0073] It should be noted that this encryption operation can ensure that the data is not eavesdropped or tampered with during transmission, and this preprocessing and encryption of the data meets the "vertical authentication" requirements in the "Regulations on Security Protection of Power Monitoring Systems", so its feasibility is beyond doubt.

[0074] It should be noted that once the terminal state modeling and analysis module receives this encrypted data, it can perform partition modeling and deviation calculation operations. This partition modeling and deviation calculation are to ensure sufficient accuracy in the subsequent analysis process.

[0075] Furthermore, upon receiving encrypted data E, the decryption key provided by the unified cryptographic service platform can be used. To perform the decryption operation, the specific decryption operation can be denoted as: in, This represents the SM4 decryption function. This represents the decryption key paired with the encryption key.

[0076] Furthermore, after obtaining the decrypted data following the decryption operation, the previously synchronized device metadata D can be used to rationally classify the terminals. This can be done based on the power distribution network attributes, dividing the terminals into three categories, specifically including industrial zones. Commercial area Residential areas .

[0077] Furthermore, after the classification is complete, you can then analyze each partition. Constructing a digital twin sub-model for the Dianhong terminal Yes, the specific digital twin model of the e-commerce terminal. It can be written as: In the formula, the completed It includes topological connections. Parameter normal range threshold vector Historical behavioral pattern sequence Yes, here Specifically, it means in the first The physical or logical connection network between all electrical terminals within a distribution area is generally represented by a directed graph, where each node is a unique identifier for a terminal. The edge represents a communication link or power transmission path. Specifically... Communication delay can be used It is deduced from the correlation between voltage and current.

[0078] Then there's the parameter normal range threshold vector. It indicates that it is for the first The vector represents the set of normal range thresholds for each operating parameter of the terminal in the power distribution area; its dimension is the original sensor data vector. It is consistent, that is, it can be written as The ones here This indicates the normal voltage range. Indicates the normal current range. This represents the expected value of the online status (usually 1). Indicates the upper limit of tolerance for communication delay. This indicates a list of compliant firmware versions. Specifically... Based on device metadata Equipment model With the unit This is obtained by combining historical operation and maintenance experience.

[0079] Finally, there's the sequence of historical behavioral patterns here. It represents the first In a power distribution area, the sequence of terminal operation behavior patterns over a historical period is typically stored as a time-series matrix. Each row corresponds to a terminal, and each column corresponds to a time point, with each element representing a standardized operational state vector at that moment. This historical behavior pattern sequence can be obtained using clustering algorithms. .

[0080] In practical applications, when establishing this digital twin sub-model of the e-Telecom terminal, it is necessary to... , , As the input feature stream, it continuously drives the model during the initialization and online update phases. , , It evolves. For example, when a new terminal connects, its... Registered, subsequent Once collected, the system will automatically include it in the corresponding... In The nodes are concentrated, and at the same time, they are also based on similar terminals. and Initialize its expected behavior.

[0081] Furthermore, when obtaining After that, you can pass through For future time periods The state was predicted, and the final predicted value can be denoted as... Specifically, it is expressed as: in, This represents a state prediction function based on a time series model, such as a state prediction function using LSTM or Kalman filtering.

[0082] Furthermore, it is also possible to simultaneously obtain historical actual operation data for the corresponding time period. Based on this actual operating data, the deviation value is calculated. This deviation value can be calculated using the Euclidean distance method, and can be denoted as... Specifically, it is expressed as: In practical applications, after obtaining the deviation value and the digital twin sub-model of this Dianhong terminal, these two can be packaged into... After packaging, it is sent to the Operation Scenario Integration and Extension Module.

[0083] It should be noted that the above steps can transform raw data into a structured model, and the result of this transformation can provide a quantitative basis for the integrity assessment of subsequent scenarios.

[0084] It should be noted that the Operation Scenario Integration and Extension module is used to perform global model fusion and missing scenario completion.

[0085] Furthermore, it is necessary to receive the digital twin sub-models of all partitions and their deviation values, and then merge the obtained sub-models into a global digital twin master model for the entire e-commerce terminal. This master model can be specifically represented as follows: Furthermore, the deviation value can be represented by setting a first deviation threshold. This is used to determine whether any partition deviation exceeds the limit, which can be specifically expressed as: In the formula, This represents the maximum allowable forecast-to-actual deviation tolerance, which can be determined by operational experience or statistical distribution.

[0086] If the deviation values ​​corresponding to the digital twin models of all partitions obtained here Then you can Mark it as a valid model and send it directly to the visualization and interactive control module.

[0087] If there is at least one deviation value among the digital twin models of all the partitions obtained here. Then it is necessary to determine the terminal type corresponding to the over-limit item. Time period of deviation and environmental context information To further generate feature vectors for missing scenes This allows for the compensation of the digital twin model for this partition. Specifically, the missing scene feature vector can be represented as: in, Represents the feature encoding function. This indicates external influencing factors such as temperature, load rate, and weather.

[0088] Furthermore, when based on Synthetic virtual runtime scenario data Then, the data can be fed back to the terminal status modeling and analysis module, which will then trigger a new round of modeling and deviation calculation.

[0089] Furthermore, repeat the above judgment process until all... Only then can the conditions be met. Send it to the visualization and interactive control module.

[0090] It should be noted that this compensation operation can ensure that the final overall model can cover modeling scenarios that are difficult to collect in reality but necessary for operation and maintenance, such as extreme working conditions and communication interruptions.

[0091] Furthermore, once the visualization and interactive control module obtains the overall model, it can perform high-fidelity display and remote interactive operations. This module contains three internal units that work together with each other.

[0092] Specifically, this includes a graphical user interface design unit, which receives the overall digital twin model of the entire electronic terminal. And perform three core rendering operations on this overall model, as detailed below: In the formula, A heat map showing the geographical distribution of terminals. For the first Terminal coordinates, Its online status; The curve representing the trend of the overall online rate over time. Total number of terminals; This indicates a list of real-time alerts. For the first One terminal failed due to operating parameters exceeding the threshold. And the alarm that was triggered.

[0093] In practical applications, the above content can be integrated into a unified graphical user interface for operation and maintenance personnel to view.

[0094] It may also include an interactive control unit, which is used to receive remote operation commands input by the user through the interface. Yes, this instruction will be encapsulated as a control message. Specifically, it is expressed as follows: in, Indicates the unique identifier of the target terminal. It is a wrapper operation.

[0095] It should be noted that as long as... After sending the data to the corresponding terminal, you can perform specific simulation operations such as remote restart and parameter configuration.

[0096] It may also include a data export and sharing unit, which is used to export the current visualization view. The export process for a specified file format can be described as follows: In the formula, PDF, JSON Indicates the export format.

[0097] Furthermore, it can ultimately be achieved through a secure HTTPS interface. The data is pushed to a third-party operation and maintenance management system to achieve data sharing. This push operation can be represented as: Among them, UR This indicates the receiving address of the third-party system. After completing the above steps, cross-platform data sharing and collaborative operation and maintenance can be achieved.

[0098] Example 3, referring to Figure 2 This embodiment also provides a terminal operation visualization method based on an Internet of Things (IoT) platform, including: The Dianhong terminal access and authentication module 100 performs identity recognition and secure registration of the target Dianhong terminal, and sends the device metadata to the IoT data acquisition and secure transmission module 200; The IoT data acquisition and secure transmission module 200 collects real-time data on the operating status of the Dianhong terminal based on the device metadata, encrypts it, and sends it to the terminal status modeling and analysis module 300. The terminal status modeling and analysis module 300 decrypts the data and constructs a digital twin sub-model of the Dianhong terminal in different partitions, which is then sent to the operation scenario integration and expansion module 400. The operation scenario integration and expansion module 400 integrates the model, compares deviations, expands missing scenarios, and sends the final full-domain Dianhong terminal digital twin model to the visualization and interactive control module 500. The Visualization and Interactive Control Module 500 is based on the overall digital twin model of the whole-domain e-telecom terminal to realize the visualization display of the terminal's operating status and interactive operation simulation.

[0099] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

[0100] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the invention.

[0101] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. An Internet of Things platform-based terminal operation visualization system, characterized in that, include: The module includes a terminal access and authentication module (100), an IoT data acquisition and secure transmission module (200), a terminal status modeling and analysis module (300), an operation scenario integration and expansion module (400), and a visualization and interactive control module (500). The Elec-Hong terminal access and authentication module (100) is used to identify and securely register the target Elec-Hong terminal, and send the authenticated Elec-Hong terminal identification information and device metadata to the IoT data acquisition and secure transmission module (200). The IoT data acquisition and secure transmission module (200) is used to collect real-time operating status data from the corresponding registered Dianhong terminal according to the Dianhong terminal identification information, encrypt the real-time operating status data, and send the encrypted real-time operating status data to the terminal status modeling and analysis module (300). The terminal status modeling and analysis module (300) is used to receive the encrypted real-time operating status data, decrypt it, and combine it with the terminal type and business attributes in the device metadata to perform partition modeling, generate multiple partitioned digital twin sub-models of the Dianhong terminal, and send the multiple partitioned digital twin sub-models of the Dianhong terminal to the operation scenario integration and extension module (400). 2.The terminal operation visualized system based on the Internet of Things platform of claim 1, wherein, Also includes: The operation scenario integration and expansion module (400) is used to receive the digital twin sub-models of the multiple partitions of the Dianhong terminal, integrate them into a total digital twin model of the whole domain of the Dianhong terminal, and compare the total digital twin model of the whole domain of the Dianhong terminal with the historical actual operation data. If there is a deviation exceeding the threshold, the missing operation scenario model is expanded to obtain the expanded total digital twin model of the whole domain of the Dianhong terminal, and the expanded total digital twin model of the whole domain of the Dianhong terminal is sent to the visualization and interactive control module (500). The visualization and interactive control module (500) is used to receive the extended global terminal digital twin model and generate a graphical user interface based on the model to realize the visualization display and interactive operation simulation of the terminal's operating status. 3.The terminal operation visualized system based on the Internet of Things platform of claim 2, wherein, The Elec-Tech terminal access and authentication module (100) performs the following operations: Receive the access request message sent by the target terminal; Extract the device fingerprint and digital certificate from the access request message; The device fingerprint is matched with a pre-stored database of legitimate device fingerprints, and the validity of the digital certificate is verified by calling the unified cryptographic service platform. If the match is successful and the certificate is valid, device metadata containing the terminal's unique identifier, the unit to which it belongs, the device model, and the access time will be generated, and the device metadata will be sent to the IoT data acquisition and secure transmission module (200). If a match fails or the certificate is invalid, access is denied and the exception event log is written to the security audit database.

4. The terminal operation visualized system based on the Internet of Things platform of claim 3, wherein, The IoT data acquisition and secure transmission module (200) performs the following operations: Based on the device metadata received from the Elec-Hong terminal access and authentication module (100), a data acquisition channel with the corresponding Elec-Hong terminal is established; The raw sensor data, including voltage, current, online status, communication delay, and firmware version, are periodically acquired through the data acquisition channel. The original sensor data is standardized and anomalies are removed to form preprocessed real-time operating status data; The preprocessed real-time operating status data is encrypted using the SM4 domestic cryptographic algorithm to generate encrypted real-time operating status data; The encrypted real-time operating status data is sent to the terminal status modeling and analysis module (300) through an independent secure channel on the information intranet.

5. The terminal operation visualized system based on the Internet of Things platform of claim 4, wherein, The terminal state modeling and analysis module (300) performs the following operations: Receive encrypted real-time operating status data from the IoT data acquisition and secure transmission module (200), and decrypt it using the decryption key provided by the unified cryptographic service platform to obtain the decrypted real-time operating status data; Based on the device metadata synchronously obtained from the Dianhong terminal access and authentication module (100), the area is divided into three zones: industrial zone, commercial zone, and residential zone according to the power distribution area to which the terminal belongs; For each partition, a digital twin sub-model of the eHong terminal is constructed, which includes topological connection relationships, normal range thresholds of parameters, and historical behavior patterns. Calculate the state prediction value of each digital twin sub-model of the Dianhong terminal in the future time period, and calculate the deviation value by comparing the state prediction value with the historical actual operation data of the corresponding time period; The data packet containing the digital twin sub-models of each zone's Dianhong terminal and their corresponding deviation values ​​is sent to the Operation Scenario Integration and Extension Module (400). 6.The terminal operation visualized system based on the Internet of Things platform of claim 5, wherein, The operation scenario integration and expansion module (400) performs the following operations: Receive the digital twin sub-models of each partitioned E-Town terminal and their corresponding deviation values ​​from the terminal status modeling and analysis module (300); The digital twin sub-models of each regional e-commerce terminal are merged into a global e-commerce terminal digital twin model. Determine whether any deviation value is greater than a preset first deviation threshold; If all deviation values ​​are not greater than the first deviation threshold, the overall digital twin model of the whole domain terminal is marked as a valid model and sent to the visualization and interactive control module (500). If at least one deviation value is greater than the first deviation threshold, a missing scene feature vector is generated based on the terminal type, time period and environmental context information corresponding to the deviation value, and new virtual running scene data is synthesized based on the missing scene feature vector. The virtual operation scenario data is fed back to the terminal status modeling and analysis module (300), triggering a new round of modeling and deviation calculation until all deviation values ​​meet the first deviation threshold. Finally, the overall digital twin model of the entire Dianhong terminal that meets the conditions is sent to the visualization and interactive control module (500). 7.The terminal operation visualized system based on the Internet of Things platform of claim 6, wherein, The visualization and interactive control module (500) includes: a graphical user interface design unit, an interactive control unit, and a data export and sharing unit; The graphical user interface design unit is used to receive the overall digital twin model of the entire domain of Dianhong terminals from the operation scenario integration and extension module (400), and render and display the terminal geographical distribution heat map, online rate trend curve and real-time alarm list. The interactive control unit is used to receive remote operation commands input by the user through the graphical user interface, and encapsulate the remote operation commands into control messages and send them to the corresponding terminal. The data export and sharing unit is used to export the current visualized terminal operation status view as a PDF or JSON file, and push the file to a third-party operation and maintenance management system through an HTTPS secure interface.

8. A terminal operation visualization method based on an Internet of Things platform, applying the system according to any one of claims 1-7, characterized in that, include: The Elec-Hong terminal access and authentication module (100) performs identity recognition and security registration on the target Elec-Hong terminal and sends the device metadata to the IoT data acquisition and secure transmission module (200). The IoT data acquisition and secure transmission module (200) collects real-time data on the operating status of the Dianhong terminal based on the device metadata, encrypts it, and sends it to the terminal status modeling and analysis module (300). The terminal status modeling and analysis module (300) decrypts the data and constructs a digital twin sub-model of the Dianhong terminal in different partitions, and sends it to the operation scenario integration and extension module (400). The operation scenario integration and expansion module (400) integrates the model, compares the deviation, expands the missing scenarios, and sends the final full-domain Dianhong terminal digital twin general model to the visualization and interactive control module (500). The visualization and interactive control module (500) realizes the visualization display and interactive operation simulation of the terminal operation status based on the overall digital twin model of the whole domain terminal. 9.An electronic device comprising a memory and a processor, the memory storing a computer program, wherein, When the processor executes the computer program, it implements the steps of the terminal operation visualization method based on the Internet of Things platform as described in claim 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the terminal operation visualization method based on the Internet of Things platform as described in claim 8.

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