Gateway intelligent optimization method and system based on digital twinning and medium

Abstract

The invention provides a gateway intelligent optimization method and system based on digital twinning, and a medium, and belongs to the technical field of industrial Internet of Things and big data. The method comprises the following steps: acquiring basic configuration information, operation environment information and gateway connection equipment information of satellite flash equipment, and constructing a satellite flash gateway digital model; performing simulation communication based on the digital model, and extracting network communication information, data processing information and gateway operation stability information; according to the network communication information, the data processing information and the gateway operation stability information, respectively generating a satellite flash gateway communication performance index, a data processing capability index and an operation stability index; and generating a satellite flash gateway intelligent optimization strategy based on the indexes, and performing optimization operation on the physical satellite flash gateway through an interaction mechanism of a satellite flash gateway cloud platform and remote control of a satellite flash technology. According to the method, the communication performance, the data processing capability and the operation stability of the satellite flash gateway can be remarkably improved, and the method is suitable for gateway optimization management in a complex communication environment.

Description

Technical Field

[0001] The present application relates to the field of industrial Internet of Things and big data technology, and specifically, to a gateway intelligent optimization method, system and medium based on digital twins. Background Art

[0002] With the rapid development of the Internet of Things and intelligent communication technology, the performance and stability of gateway devices, as key nodes connecting different networks, directly affect the efficiency of the entire communication system. As an emerging communication technology, Star Flash technology has the characteristics of low latency, high stability and wide coverage, and is widely used in industrial Internet of Things, smart cities and other fields. However, in actual applications, Star Flash gateways face the defects of insufficient communication performance, limited data processing capabilities and poor operation stability.

[0003] Currently, communication quality is improved by simply adjusting communication parameters or adding relay equipment, and operation stability is improved by regular maintenance or adding heat dissipation equipment. However, this method lacks pertinence and real-time performance, cannot achieve real-time monitoring and active optimization, and is difficult to adapt to dynamically changing communication environments. Therefore, there is an urgent need for a Star Flash gateway management method that can perform real-time monitoring, intelligent analysis, and active optimization to solve the problems of insufficient communication performance, limited data processing capabilities, and poor operation stability in the existing technology. Summary of the invention

[0004] The purpose of this application is to provide a gateway intelligent optimization method, system and medium based on digital twins, which can generate intelligent optimization strategies by constructing a digital model of the Star Flash Gateway, simulating communications and data analysis, and using the Star Flash Gateway cloud platform and Star Flash technology to achieve remote optimization operations, thereby improving the communication performance, data processing capabilities and operational stability of the Star Flash Gateway. Through digital models and simulated communications, the operating status of the Star Flash Gateway can be monitored in real time, and potential problems can be discovered in a timely manner. Through intelligent optimization strategies, communication parameters can be dynamically adjusted, data processing processes can be optimized, and the operating environment can be controlled to improve gateway performance and stability. Through remote control of the Star Flash Gateway cloud platform and Star Flash technology, efficient and flexible gateway management can be achieved, reducing maintenance costs.

[0005] The present application provides a gateway intelligent optimization method based on digital twins, comprising the following steps: Obtain the basic configuration information, operating environment information and gateway connection device information of the Star Flash device within the preset time period and build a digital model of the Star Flash gateway, perform simulated communication and extract network communication information, data processing information and gateway operation stability information; Processing the network communication information to obtain the Xingshan Gateway communication performance index; Processing is performed according to the data processing information to obtain the data processing capability index of the Xingshan Gateway; Processing is performed according to the gateway operation stability information to obtain the Xingshan gateway operation stability index; Processing is performed according to the communication performance index of the Xingshan Gateway, the data processing capability index of the Xingshan Gateway and the operation stability index of the Xingshan Gateway to obtain the intelligent optimization strategy of the Xingshan Gateway; According to the Star Flash Gateway intelligent optimization strategy, the physical Star Flash Gateway is optimized through the interactive mechanism of the Star Flash Gateway cloud platform and the remote control of the Star Flash technology.

[0006] Among them, in the gateway intelligent optimization method based on digital twin described in this application, the construction of the Star Flash Gateway digital model is specifically: Obtain the basic configuration information, operating environment information and gateway connection device information of the Starflash device within the preset time period and build a digital model of the Starflash gateway; The basic configuration information of the Star Flash device includes device specification information, network parameter information, and communication configuration information; The operating environment information includes physical environment parameter information, network performance indicator information, resource utilization information and operating log information; The gateway connection device information includes terminal device type information, connection status information and data transmission volume information.

[0007] Among them, in a gateway intelligent optimization method based on digital twin described in this application, the Star Flash gateway communication performance index is obtained, specifically: Extracting communication delay data, transmission packet loss rate data and network throughput data according to the network communication information; The communication delay data, transmission packet loss rate data and network throughput data are processed through a preset communication performance evaluation database to obtain the Star Flash Gateway communication performance index.

[0008] Among them, in the digital twin-based gateway intelligent optimization method described in this application, the Star Flash gateway data processing capability index is obtained as follows: Processing time data and processing error rate data are extracted according to the data processing information and processed through a preset data processing capability evaluation database to obtain the Xingshan Gateway data processing capability index.

[0009] Among them, in the digital twin-based gateway intelligent optimization method described in this application, the Star Flash Gateway operation stability index is obtained as follows: Extracting fault frequency data, restart number data and motion state fluctuation data according to the gateway operation stability information; The fault frequency data, restart number data and motion state fluctuation data are processed through a preset stability evaluation database to obtain the Star Flash Gateway operation stability index.

[0010] Among them, in the gateway intelligent optimization method based on digital twin described in this application, the obtaining of the Star Flash gateway intelligent optimization strategy is specifically: According to the communication performance index of the Xingshan Gateway, the data processing capability index of the Xingshan Gateway and the operation stability index of the Xingshan Gateway, a preset optimization decision model is used to obtain the intelligent optimization data of the Xingshan Gateway; A Xingshan gateway intelligent optimization strategy is generated according to the Xingshan gateway intelligent optimization data and sent to the terminal.

[0011] In a second aspect, the present application provides a gateway intelligent optimization system based on digital twins, the system comprising: a memory and a processor, the memory comprising a program of a gateway intelligent optimization method based on digital twins, and the program of the gateway intelligent optimization method based on digital twins is executed by the processor to implement the following steps: Obtain the basic configuration information, operating environment information and gateway connection device information of the Star Flash device within the preset time period and build a digital model of the Star Flash gateway, perform simulated communication and extract network communication information, data processing information and gateway operation stability information; Processing the network communication information to obtain the Xingshan Gateway communication performance index; Processing is performed according to the data processing information to obtain the data processing capability index of the Xingshan Gateway; Processing is performed according to the gateway operation stability information to obtain the Xingshan gateway operation stability index; Processing is performed according to the communication performance index of the Xingshan Gateway, the data processing capability index of the Xingshan Gateway and the operation stability index of the Xingshan Gateway to obtain the intelligent optimization strategy of the Xingshan Gateway; According to the Star Flash Gateway intelligent optimization strategy, the physical Star Flash Gateway is optimized through the interactive mechanism of the Star Flash Gateway cloud platform and the remote control of the Star Flash technology.

[0012] Among them, in the digital twin-based gateway intelligent optimization system described in this application, the construction of the Star Flash Gateway digital model is specifically: Obtain the basic configuration information, operating environment information and gateway connection device information of the Starflash device within the preset time period and build a digital model of the Starflash gateway; The basic configuration information of the Star Flash device includes device specification information, network parameter information, and communication configuration information; The operating environment information includes physical environment parameter information, network performance indicator information, resource utilization information and operating log information; The gateway connection device information includes terminal device type information, connection status information and data transmission volume information.

[0013] Among them, in the digital twin-based gateway intelligent optimization system described in this application, the Star Flash gateway communication performance index is obtained as follows: Extracting communication delay data, transmission packet loss rate data and network throughput data according to the network communication information; The communication delay data, transmission packet loss rate data and network throughput data are processed through a preset communication performance evaluation database to obtain the Star Flash Gateway communication performance index.

[0014] In the third aspect, the present application also provides a computer-readable storage medium, which includes a gateway intelligent optimization method program based on digital twins. When the gateway intelligent optimization method program based on digital twins is executed by a processor, the steps of a gateway intelligent optimization method based on digital twins as described in any one of the above items are implemented.

[0015] From the above, it can be seen that the embodiment of the present application provides a gateway intelligent optimization method, system and medium based on digital twins. By constructing a Star Flash gateway digital model and simulating communication, it can monitor the operating status of the gateway in real time, and generate intelligent optimization strategies in combination with data analysis, real-time monitoring and intelligent analysis; based on the communication performance index, data processing capability index and operation stability index, the communication parameters, data processing flow and operating environment of the gateway are dynamically adjusted to significantly improve the performance and stability of the gateway, and realize dynamic optimization and efficient management; through the interactive mechanism of the Star Flash gateway cloud platform and the remote control function of the Star Flash technology, efficient management and flexible deployment of the gateway can be realized, and maintenance costs can be reduced. The present invention is suitable for complex communication environments such as industrial Internet of Things, smart cities, and intelligent transportation, and has good promotion value and application prospects.

[0016] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flowchart of a gateway intelligent optimization method based on digital twins provided in an embodiment of the present application; Figure 2 A flowchart of building a digital model of a Xingshan gateway according to a gateway intelligent optimization method based on digital twins provided in an embodiment of the present application; Figure 3 A flowchart of obtaining the communication performance index of the Star Flash gateway according to a gateway intelligent optimization method based on digital twins provided in an embodiment of the present application; Figure 4 A flowchart of obtaining the data processing capability index of the Star Flash Gateway according to a gateway intelligent optimization method based on digital twins provided in an embodiment of the present application; Figure 5 A flowchart of obtaining the Star Flash Gateway operation stability index in a gateway intelligent optimization method based on digital twins provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0020] It should be noted that similar numbers and letters represent similar items in the following figures, so once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance. It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0021] Please refer to Figure 1 , Figure 1 This is a flow chart of a gateway intelligent optimization method based on digital twins in some embodiments of the present application. The gateway intelligent optimization method based on digital twins is used in terminal devices, such as computers, mobile terminals, etc. The gateway intelligent optimization method based on digital twins includes the following steps: S101, obtaining the basic configuration information, operating environment information and gateway connection device information of the Star Flash device within a preset time period and building a digital model of the Star Flash gateway, performing simulated communication and extracting network communication information, data processing information and gateway operation stability information; S102, processing according to the network communication information to obtain the Xingshan gateway communication performance index; S103, processing according to the data processing information to obtain the Xingshan gateway data processing capability index; S104, processing the gateway operation stability information to obtain a Xingshan gateway operation stability index; S105, performing processing according to the Star Flash Gateway communication performance index, the Star Flash Gateway data processing capability index and the Star Flash Gateway operation stability index to obtain the Star Flash Gateway intelligent optimization strategy; S106. According to the Star Flash Gateway intelligent optimization strategy, the physical Star Flash Gateway is optimized through the interactive mechanism of the Star Flash Gateway cloud platform and the remote control of the Star Flash technology.

[0022] Among them, in order to improve the performance and stability of the Star Flash Gateway, this application implements a series of comprehensive evaluation and optimization processes. First, this application collects the basic configuration information, operating environment information and gateway connection device information of the Star Flash device within the preset time period, which provides key data support for building the digital model of the Star Flash Gateway. Subsequently, the digital model was used to conduct a simulated communication test, from which network communication information, data processing information and gateway operation stability information were extracted. Based on this information, this application calculates the communication performance index, data processing capability index and operation stability index of the Star Flash Gateway respectively. These indexes, as indicators for quantitatively evaluating gateway performance, provide a clear direction for the formulation of optimization strategies. Next, this application comprehensively processes these indexes and formulates targeted intelligent optimization strategies for the Star Flash Gateway. Finally, through the interactive mechanism of the Star Flash Gateway cloud platform and the remote control function of the Star Flash technology, this application implements corresponding optimization operations on the physical Star Flash Gateway, aiming to improve its communication efficiency, data processing capability and operation stability. This whole set of processes not only improves the overall performance of the Star Flash Gateway, but also lays a solid foundation for its subsequent stable operation.

[0023] Please refer to Figure 2 , Figure 2 It is a flowchart of constructing a digital model of a Xingshan gateway based on a digital twin gateway intelligent optimization method in some embodiments of the present application. According to an embodiment of the present invention, the construction of the Xingshan gateway digital model is specifically: S201, obtaining the basic configuration information, operating environment information and gateway connection device information of the Star Flash device within a preset time period and building a digital model of the Star Flash gateway; S202, the basic configuration information of the Star Flash device includes device specification information, network parameter information, and communication configuration information; S203, the operating environment information includes physical environment parameter information, network performance indicator information, resource utilization information and operating log information; S204. The gateway connection device information includes terminal device type information, connection status information, and data transmission volume information.

[0024] Among them, the present application obtains the basic configuration, operating environment and connection device information of the Star Flash device in a preset period of time to build a high-precision digital model of the gateway. In order to build a digital model of the Star Flash gateway, the present application first collects a series of key information about the Star Flash device in a preset time period. This information comprehensively covers the basic configuration of the device, specifically including device specification information, network parameter information and communication configuration information, which together constitute the basic characteristics and communication capability description of the Star Flash device. At the same time, the present application also focuses on collecting operating environment information, which covers physical environment parameters (such as temperature, humidity, etc.), network performance indicators (such as latency, bandwidth, etc.), resource utilization (such as CPU, memory usage) and detailed operation logs, providing a comprehensive and in-depth perspective for understanding the status of the device in actual operation. In addition, the present application also focuses on collecting information about gateway connection devices, including detailed data on the types of terminal devices connected to the gateway, their connection status and data transmission volume. Through these carefully collected data sets, the present application successfully constructed an accurate and detailed digital model of the Star Flash gateway, laying a solid foundation for subsequent performance evaluation, problem diagnosis and formulation of optimization strategies.

[0025] Please refer to Figure 3 , Figure 3 It is a flow chart of obtaining the communication performance index of the Star Flash gateway based on a digital twin gateway intelligent optimization method in some embodiments of the present application. According to an embodiment of the present invention, the communication performance index of the Star Flash gateway is obtained as follows: S301, extracting communication delay data, transmission packet loss rate data and network throughput data according to the network communication information; S302: Process the communication delay data, transmission packet loss rate data and network throughput data through a preset communication performance evaluation database to obtain a Xingshan gateway communication performance index.

[0026] Among them, this application extracts communication delay data, transmission packet loss rate data and network throughput data according to network communication information, and processes them through a preset communication performance evaluation database to obtain the communication performance index of the Star Flash Gateway. The communication delay data refers to the time interval from the data sending end to the successful reception of the data by the receiving end, which reflects the timeliness of data transmission; the transmission packet loss rate data is the ratio of the number of data packets lost during the data transmission process to the total number of data packets sent, which reflects the reliability of transmission; the network throughput data refers to the amount of data successfully transmitted per unit time, showing the data transmission capacity of the network. After obtaining these data, they are input into the preset communication performance evaluation database. The database stores a large number of communication performance evaluation standards and algorithm models under different scenarios. By comparing, analyzing and calculating the real-time collected communication delay data, transmission packet loss rate data and network throughput data with the standard data in the database, the Star Flash Gateway communication performance index is finally obtained. This index can intuitively reflect the comprehensive communication performance of the Star Flash Gateway in the current network environment.

[0027] Please refer to Figure 4 , Figure 4 The flowchart of obtaining the data processing capability index of the Xingshan gateway is a method for intelligently optimizing the gateway based on digital twins in some embodiments of the present application. According to an embodiment of the present invention, obtaining the data processing capability index of the Xingshan gateway is specifically as follows: S401. Extract processing time data and processing error rate data according to the data processing information and process them through a preset data processing capability evaluation database to obtain the Xingshan Gateway data processing capability index.

[0028] Among them, when evaluating the performance of the Xingshan Gateway, the processing time data in the data processing information refers to the time taken from the gateway receiving the data to the completion of the data processing operation, which reflects the speed of data processing. The processing error rate data refers to the ratio of the amount of erroneous data to the total amount of processed data during the data processing process, reflecting the accuracy of data processing. After obtaining these data, they are input into the preset data processing capability evaluation database. This database stores the data processing capability evaluation rules and analysis models under different conditions. By comparing, calculating and analyzing the real-time collected processing time data and processing error rate data with the standard data in the database, the Xingshan Gateway data processing capability index is finally calculated. This index can intuitively indicate the data processing capability level of the Xingshan Gateway in the current working state.

[0029] Please refer to Figure 5 , Figure 5This is a flow chart of obtaining the Star Flash Gateway operation stability index of a gateway intelligent optimization method based on digital twins in some embodiments of the present application. According to an embodiment of the present invention, obtaining the Star Flash Gateway operation stability index is specifically: S501, extracting fault frequency data, restart number data and motion state fluctuation data according to the gateway operation stability information; S502: Process the fault frequency data, the restart number data and the motion state fluctuation data through a preset stability evaluation database to obtain the Star Flash Gateway operation stability index.

[0030] Among them, this application extracts fault frequency data, restart number data and motion state fluctuation data according to the gateway operation stability information, and processes them through a preset stability evaluation database to obtain the Star Flash Gateway Operation Stability Index. When evaluating the operation stability of the Star Flash Gateway, the fault frequency data in the gateway operation stability information refers to the number of times the gateway fails within a certain time period, which can intuitively reflect the frequency of abnormal conditions in the gateway. The restart number data refers to the number of times the gateway restarts for various reasons in the same time period, reflecting the situation where the gateway needs to be restarted to restore the normal state during operation. The motion state fluctuation data is mainly for gateways in mobile scenarios, and is used to measure the fluctuation changes of key operating indicators such as signal strength and connection stability of the gateway during movement. After collecting these data, they are imported into the preset stability evaluation database. The database has built-in rich stability evaluation standards and algorithms for different scenarios. By comprehensively comparing, precisely calculating and deeply analyzing the fault frequency data, restart number data and motion state fluctuation data obtained in real time with the standard values ​​in the database, the Star Flash Gateway Operation Stability Index is finally generated. The index can clearly and accurately present the stability of the Star Flash Gateway in the current operating environment.

[0031] According to an embodiment of the present invention, the obtaining of the Star Flash Gateway intelligent optimization strategy is specifically as follows: According to the communication performance index of the Xingshan Gateway, the data processing capability index of the Xingshan Gateway and the operation stability index of the Xingshan Gateway, a preset optimization decision model is used to obtain the intelligent optimization data of the Xingshan Gateway; A Xingshan gateway intelligent optimization strategy is generated according to the Xingshan gateway intelligent optimization data and sent to the terminal.

[0032] Among them, when comprehensively optimizing the Star Flash Gateway, the Star Flash Gateway communication performance index reflects the gateway's ability in data transmission, including indicators such as communication delay, packet loss rate and throughput; the Star Flash Gateway data processing capability index reflects the speed and accuracy of the gateway when processing the received data; the Star Flash Gateway operation stability index shows the reliability of the gateway during operation, such as failure frequency, number of restarts, and fluctuations in motion status. These three indexes are input into the preset optimization decision model, which integrates a variety of optimization algorithms and strategy combinations. According to the values ​​and weight relationships of different indexes, the performance of the gateway in various aspects is comprehensively analyzed to calculate the Star Flash Gateway intelligent optimization data. These data cover the optimization directions and specific values ​​of network parameter adjustment, processing flow improvement, resource allocation optimization and other aspects. Based on these intelligent optimization data, the Star Flash Gateway intelligent optimization strategy is further generated. The strategy content includes suggestions for modifying the configuration parameters of the gateway, working mode adjustment plans, etc. Finally, this optimization strategy is sent to the terminal. After receiving it, the terminal can make corresponding optimization settings for the Star Flash Gateway according to the strategy content to improve the overall performance of the gateway; The calculation formula of the preset optimization decision model is: ; in, Intelligently optimize data for the Xingshan Gateway. They are the Xingshan Gateway communication performance index, the Xingshan Gateway data processing capability index and the Xingshan Gateway operation stability index. is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset decision database).

[0033] According to an embodiment of the present invention, it also includes: Obtain the Star Flash Gateway intelligent optimization strategy for the preset time period, including optimizing network performance information, reducing device power consumption information, adjusting device configuration information, and upgrading security protection information; Input the network performance optimization information, equipment power consumption reduction information, equipment configuration adjustment information and security protection upgrade information into the Xingshan Gateway Cloud Platform; The physical Star Flash Gateway is optimized and managed based on the interactive mechanism of the Star Flash Gateway cloud platform combined with the remote control function of the Star Flash technology.

[0034] Among them, in order to strengthen the optimization management of the physical Star Flash Gateway, the Star Flash Gateway intelligent optimization strategy for the preset time period is obtained, including optimizing network performance information, reducing equipment power consumption information, adjusting equipment configuration information and upgrading security protection information and entering it into the Star Flash Gateway cloud platform. According to the interaction mechanism of the Star Flash Gateway cloud platform and the remote control function of the Star Flash technology, the physical Star Flash Gateway is optimized and managed. The management measures include network performance optimization, equipment power consumption management, equipment configuration adjustment and security protection upgrade.

[0035] According to an embodiment of the present invention, it also includes: Obtain optimization efficiency data for a preset time period; Comparing the optimized efficiency data with a preset efficiency threshold to obtain an efficiency deviation rate; Comparing the efficiency deviation rate with a preset deviation rate threshold; If the efficiency deviation rate is greater than or equal to the preset deviation rate threshold, an optimization adjustment instruction is generated; If the efficiency deviation rate is less than the preset deviation rate threshold, the current optimization strategy is maintained.

[0036] Among them, the optimization efficiency data of the preset time period will be obtained first. This data is mainly used to quantitatively evaluate the actual effect of the optimization operation of the Star Flash Gateway within a specific time period, covering key indicators such as the degree of improvement in communication performance and the degree of enhancement in data processing capabilities. Then, these optimization efficiency data are compared with the preset efficiency thresholds that have been set in advance, and the efficiency deviation rate is obtained through a specific calculation method. This deviation rate intuitively reflects the degree of deviation between the actual optimization effect and the expected target. Subsequently, the obtained efficiency deviation rate is compared with the preset deviation rate threshold. If the efficiency deviation rate is greater than or equal to the preset deviation rate threshold, it indicates that the current optimization effect is far from the expected one. At this time, the system will generate optimization adjustment instructions to further adjust and improve the parameters, configurations or optimization strategies of the Star Flash Gateway; if the efficiency deviation rate is less than the preset deviation rate threshold, it means that the current optimization strategy is effective and can reach or approach the expected target, so the system will maintain the current optimization strategy and continue to ensure the stable and efficient operation of the Star Flash Gateway.

[0037] The present invention also discloses a gateway intelligent optimization system based on digital twins, including a memory and a processor, wherein the memory includes a gateway intelligent optimization method program based on digital twins, and the gateway intelligent optimization method program based on digital twins implements the following steps when executed by the processor: Obtain the basic configuration information, operating environment information and gateway connection device information of the Star Flash device within the preset time period and build a digital model of the Star Flash gateway, perform simulated communication and extract network communication information, data processing information and gateway operation stability information; Processing the network communication information to obtain the Xingshan Gateway communication performance index; Processing is performed according to the data processing information to obtain the data processing capability index of the Xingshan Gateway; Processing is performed according to the gateway operation stability information to obtain the Xingshan gateway operation stability index; Processing is performed according to the communication performance index of the Xingshan Gateway, the data processing capability index of the Xingshan Gateway and the operation stability index of the Xingshan Gateway to obtain the intelligent optimization strategy of the Xingshan Gateway; According to the Star Flash Gateway intelligent optimization strategy, the physical Star Flash Gateway is optimized through the interactive mechanism of the Star Flash Gateway cloud platform and the remote control of the Star Flash technology.

[0038] Among them, in order to improve the performance and stability of the Star Flash Gateway, this application implements a series of comprehensive evaluation and optimization processes. First, this application collects the basic configuration information, operating environment information and gateway connection device information of the Star Flash device within the preset time period, which provides key data support for building the digital model of the Star Flash Gateway. Subsequently, the digital model was used to conduct a simulated communication test, from which network communication information, data processing information and gateway operation stability information were extracted. Based on this information, this application calculates the communication performance index, data processing capability index and operation stability index of the Star Flash Gateway respectively. These indexes, as indicators for quantitatively evaluating gateway performance, provide a clear direction for the formulation of optimization strategies. Next, this application comprehensively processes these indexes and formulates targeted intelligent optimization strategies for the Star Flash Gateway. Finally, through the interactive mechanism of the Star Flash Gateway cloud platform and the remote control function of the Star Flash technology, this application implements corresponding optimization operations on the physical Star Flash Gateway, aiming to improve its communication efficiency, data processing capability and operation stability. This whole set of processes not only improves the overall performance of the Star Flash Gateway, but also lays a solid foundation for its subsequent stable operation.

[0039] According to an embodiment of the present invention, the construction of the Star Flash Gateway digital model is specifically as follows: Obtain the basic configuration information, operating environment information and gateway connection device information of the Starflash device within the preset time period and build a digital model of the Starflash gateway; The basic configuration information of the Star Flash device includes device specification information, network parameter information, and communication configuration information; The operating environment information includes physical environment parameter information, network performance indicator information, resource utilization information and operating log information; The gateway connection device information includes terminal device type information, connection status information and data transmission volume information.

[0040] Among them, the present application obtains the basic configuration, operating environment and connection device information of the Star Flash device in a preset period of time to build a high-precision digital model of the gateway. In order to build a digital model of the Star Flash gateway, the present application first collects a series of key information about the Star Flash device in a preset time period. This information comprehensively covers the basic configuration of the device, specifically including device specification information, network parameter information and communication configuration information, which together constitute the basic characteristics and communication capability description of the Star Flash device. At the same time, the present application also focuses on collecting operating environment information, which covers physical environment parameters (such as temperature, humidity, etc.), network performance indicators (such as latency, bandwidth, etc.), resource utilization (such as CPU, memory usage) and detailed operation logs, providing a comprehensive and in-depth perspective for understanding the status of the device in actual operation. In addition, the present application also focuses on collecting information about gateway connection devices, including detailed data on the types of terminal devices connected to the gateway, their connection status and data transmission volume. Through these carefully collected data sets, the present application successfully constructed an accurate and detailed digital model of the Star Flash gateway, laying a solid foundation for subsequent performance evaluation, problem diagnosis and formulation of optimization strategies.

[0041] According to an embodiment of the present invention, obtaining the Star Flash Gateway communication performance index is specifically: Extracting communication delay data, transmission packet loss rate data and network throughput data according to the network communication information; The communication delay data, transmission packet loss rate data and network throughput data are processed through a preset communication performance evaluation database to obtain the Star Flash Gateway communication performance index.

[0042] Among them, this application extracts communication delay data, transmission packet loss rate data and network throughput data according to network communication information, and processes them through a preset communication performance evaluation database to obtain the communication performance index of the Star Flash Gateway. The communication delay data refers to the time interval from the data sending end to the successful reception of the data by the receiving end, which reflects the timeliness of data transmission; the transmission packet loss rate data is the ratio of the number of data packets lost during the data transmission process to the total number of data packets sent, which reflects the reliability of transmission; the network throughput data refers to the amount of data successfully transmitted per unit time, showing the data transmission capacity of the network. After obtaining these data, they are input into the preset communication performance evaluation database. The database stores a large number of communication performance evaluation standards and algorithm models under different scenarios. By comparing, analyzing and calculating the real-time collected communication delay data, transmission packet loss rate data and network throughput data with the standard data in the database, the Star Flash Gateway communication performance index is finally obtained. This index can intuitively reflect the comprehensive communication performance of the Star Flash Gateway in the current network environment.

[0043] According to an embodiment of the present invention, obtaining the data processing capability index of the Xingshan gateway is specifically: Processing time data and processing error rate data are extracted according to the data processing information and processed through a preset data processing capability evaluation database to obtain the Xingshan Gateway data processing capability index.

[0044] Among them, when evaluating the performance of the Xingshan Gateway, the processing time data in the data processing information refers to the time taken from the gateway receiving the data to the completion of the data processing operation, which reflects the speed of data processing. The processing error rate data refers to the ratio of the amount of erroneous data to the total amount of processed data during the data processing process, reflecting the accuracy of data processing. After obtaining these data, they are input into the preset data processing capability evaluation database. This database stores the data processing capability evaluation rules and analysis models under different conditions. By comparing, calculating and analyzing the real-time collected processing time data and processing error rate data with the standard data in the database, the Xingshan Gateway data processing capability index is finally calculated. This index can intuitively indicate the data processing capability level of the Xingshan Gateway in the current working state.

[0045] According to an embodiment of the present invention, obtaining the StarFlash Gateway operation stability index is specifically as follows: Extracting fault frequency data, restart number data and motion state fluctuation data according to the gateway operation stability information; The fault frequency data, restart number data and motion state fluctuation data are processed through a preset stability evaluation database to obtain the Star Flash Gateway operation stability index.

[0046] Among them, this application extracts fault frequency data, restart number data and motion state fluctuation data according to the gateway operation stability information, and processes them through a preset stability evaluation database to obtain the Star Flash Gateway Operation Stability Index. When evaluating the operation stability of the Star Flash Gateway, the fault frequency data in the gateway operation stability information refers to the number of times the gateway fails within a certain time period, which can intuitively reflect the frequency of abnormal conditions in the gateway. The restart number data refers to the number of times the gateway restarts for various reasons in the same time period, reflecting the situation where the gateway needs to be restarted to restore the normal state during operation. The motion state fluctuation data is mainly for gateways in mobile scenarios, and is used to measure the fluctuation changes of key operating indicators such as signal strength and connection stability of the gateway during movement. After collecting these data, they are imported into the preset stability evaluation database. The database has built-in rich stability evaluation standards and algorithms for different scenarios. By comprehensively comparing, precisely calculating and deeply analyzing the fault frequency data, restart number data and motion state fluctuation data obtained in real time with the standard values ​​in the database, the Star Flash Gateway Operation Stability Index is finally generated. The index can clearly and accurately present the stability of the Star Flash Gateway in the current operating environment.

[0047] According to an embodiment of the present invention, the obtaining of the Star Flash Gateway intelligent optimization strategy is specifically as follows: According to the communication performance index of the Xingshan Gateway, the data processing capability index of the Xingshan Gateway and the operation stability index of the Xingshan Gateway, a preset optimization decision model is used to obtain the intelligent optimization data of the Xingshan Gateway; A Xingshan gateway intelligent optimization strategy is generated according to the Xingshan gateway intelligent optimization data and sent to the terminal.

[0048] Among them, when comprehensively optimizing the Star Flash Gateway, the Star Flash Gateway communication performance index reflects the gateway's ability in data transmission, including indicators such as communication delay, packet loss rate and throughput; the Star Flash Gateway data processing capability index reflects the speed and accuracy of the gateway when processing the received data; the Star Flash Gateway operation stability index shows the reliability of the gateway during operation, such as failure frequency, number of restarts, and fluctuations in motion status. These three indexes are input into the preset optimization decision model, which integrates a variety of optimization algorithms and strategy combinations. According to the values ​​and weight relationships of different indexes, the performance of the gateway in various aspects is comprehensively analyzed to calculate the Star Flash Gateway intelligent optimization data. These data cover the optimization directions and specific values ​​of network parameter adjustment, processing flow improvement, resource allocation optimization and other aspects. Based on these intelligent optimization data, the Star Flash Gateway intelligent optimization strategy is further generated. The strategy content includes suggestions for modifying the configuration parameters of the gateway, working mode adjustment plans, etc. Finally, this optimization strategy is sent to the terminal. After receiving it, the terminal can make corresponding optimization settings for the Star Flash Gateway according to the strategy content to improve the overall performance of the gateway; The calculation formula of the preset optimization decision model is: ; in, Intelligently optimize data for the Xingshan Gateway. They are the Xingshan Gateway communication performance index, the Xingshan Gateway data processing capability index and the Xingshan Gateway operation stability index. is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset decision database).

[0049] According to an embodiment of the present invention, it also includes: Obtain the Star Flash Gateway intelligent optimization strategy for the preset time period, including optimizing network performance information, reducing device power consumption information, adjusting device configuration information, and upgrading security protection information; Input the network performance optimization information, equipment power consumption reduction information, equipment configuration adjustment information and security protection upgrade information into the Xingshan Gateway Cloud Platform; The physical Star Flash Gateway is optimized and managed based on the interactive mechanism of the Star Flash Gateway cloud platform combined with the remote control function of the Star Flash technology.

[0050] Among them, in order to strengthen the optimization management of the physical Star Flash Gateway, the Star Flash Gateway intelligent optimization strategy for the preset time period is obtained, including optimizing network performance information, reducing equipment power consumption information, adjusting equipment configuration information and upgrading security protection information and entering it into the Star Flash Gateway cloud platform. According to the interaction mechanism of the Star Flash Gateway cloud platform and the remote control function of the Star Flash technology, the physical Star Flash Gateway is optimized and managed. The management measures include network performance optimization, equipment power consumption management, equipment configuration adjustment and security protection upgrade.

[0051] According to an embodiment of the present invention, it also includes: Obtain optimization efficiency data for a preset time period; Comparing the optimized efficiency data with a preset efficiency threshold to obtain an efficiency deviation rate; Comparing the efficiency deviation rate with a preset deviation rate threshold; If the efficiency deviation rate is greater than or equal to the preset deviation rate threshold, an optimization adjustment instruction is generated; If the efficiency deviation rate is less than the preset deviation rate threshold, the current optimization strategy is maintained.

[0052] Among them, the optimization efficiency data of the preset time period will be obtained first. This data is mainly used to quantitatively evaluate the actual effect of the optimization operation of the Star Flash Gateway within a specific time period, covering key indicators such as the degree of improvement in communication performance and the degree of enhancement in data processing capabilities. Then, these optimization efficiency data are compared with the preset efficiency thresholds that have been set in advance, and the efficiency deviation rate is obtained through a specific calculation method. This deviation rate intuitively reflects the degree of deviation between the actual optimization effect and the expected target. Subsequently, the obtained efficiency deviation rate is compared with the preset deviation rate threshold. If the efficiency deviation rate is greater than or equal to the preset deviation rate threshold, it indicates that the current optimization effect is far from the expected one. At this time, the system will generate optimization adjustment instructions to further adjust and improve the parameters, configurations or optimization strategies of the Star Flash Gateway; if the efficiency deviation rate is less than the preset deviation rate threshold, it means that the current optimization strategy is effective and can reach or approach the expected target, so the system will maintain the current optimization strategy and continue to ensure the stable and efficient operation of the Star Flash Gateway.

[0053] The third aspect of the present invention provides a computer-readable storage medium, which includes a gateway intelligent optimization method program based on digital twins. When the gateway intelligent optimization method program based on digital twins is executed by a processor, the steps of a gateway intelligent optimization method based on digital twins as described in any one of the above items are implemented.

[0054] The invention discloses a gateway intelligent optimization method, system and medium based on digital twins. By acquiring the basic configuration information, operating environment information and gateway connection device information of the Star Flash device within a preset time period, a digital model of the Star Flash gateway is constructed, and network communication, data processing and gateway operation stability information are extracted through simulated communication. Thanks to the high concurrency characteristics of the Star Flash technology, data can be collected quickly and comprehensively when obtaining various types of information to ensure the integrity of the information. In the performance evaluation link, communication delay, transmission packet loss rate and network throughput data are extracted based on network communication information, and the Star Flash gateway communication performance index is obtained through processing in a preset communication performance evaluation database. The low latency characteristics of the Star Flash technology make the communication delay data perform well, and when transmitting key data, it can be delivered quickly, effectively reducing the delay; high reliability ensures that the transmission packet loss rate is maintained at an extremely low level, ensuring that the data is transmitted accurately. The processing time and processing error rate data are extracted from the data processing information, and the Star Flash gateway data processing capability index is obtained by processing in a preset data processing capability evaluation database. The low power consumption characteristics allow the device to operate stably for a long time during data processing, reducing processing anomalies caused by energy consumption problems. According to the gateway operation stability information, the fault frequency, restart times and motion state fluctuation data are extracted, and the Xingshan gateway operation stability index is obtained through the preset stability evaluation database. The high reliability is further reflected in the gateway operation stability, reducing the fault frequency and restart times, and maintaining the stability of the motion state. Then, the three indexes are processed through the preset optimization decision model to obtain the intelligent optimization data of the Xingshan gateway, and then the intelligent optimization strategy is generated and sent to the terminal; finally, according to the strategy, with the help of the interactive mechanism of the Xingshan gateway cloud platform and the remote control of the Xingshan technology, the physical Xingshan gateway is optimized accordingly. Throughout the process, the advantages of Xingshan technology run through, from information collection, performance evaluation to optimization operation, the level of gateway intelligent processing is comprehensively improved, and a solid guarantee is provided for the efficient connection and management of IoT devices. Among them, the basic configuration information of Xingshan equipment covers equipment specifications, network parameters and communication configuration information; the operating environment information includes physical environment parameters, network performance indicators, resource utilization and operation log information; the gateway connection device information includes terminal device type, connection status and data transmission volume information.

[0055] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0056] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0057] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0058] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium, which, when executed, executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: mobile storage devices, read-only memories, random access memories, magnetic disks or optical disks, and other media that can store program codes.

[0059] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A gateway intelligent optimization method based on digital twins, characterized in that: The following steps are involved: Obtain the basic configuration information, operating environment information and gateway connection device information of the Star Flash device within the preset time period and build a digital model of the Star Flash gateway, perform simulated communication and extract network communication information, data processing information and gateway operation stability information; Processing the network communication information to obtain the Xingshan Gateway communication performance index; Processing is performed according to the data processing information to obtain the data processing capability index of the Xingshan Gateway; Processing is performed according to the gateway operation stability information to obtain the Xingshan gateway operation stability index; Processing is performed according to the communication performance index of the Xingshan Gateway, the data processing capability index of the Xingshan Gateway and the operation stability index of the Xingshan Gateway to obtain the intelligent optimization strategy of the Xingshan Gateway; According to the Star Flash Gateway intelligent optimization strategy, the physical Star Flash Gateway is optimized through the interactive mechanism of the Star Flash Gateway cloud platform and the remote control of the Star Flash technology.

2. According to a digital twin-based gateway intelligent optimization method according to claim 1, it is characterized in that: The construction of the Star Flash Gateway digital model is specifically as follows: Obtain the basic configuration information, operating environment information and gateway connection device information of the Starflash device within the preset time period and build a digital model of the Starflash gateway; The basic configuration information of the Star Flash device includes device specification information, network parameter information, and communication configuration information; The operating environment information includes physical environment parameter information, network performance indicator information, resource utilization information and operating log information; The gateway connection device information includes terminal device type information, connection status information and data transmission volume information.

3. According to a digital twin-based gateway intelligent optimization method according to claim 2, it is characterized in that: The obtaining of the Star Flash Gateway communication performance index is specifically as follows: Extracting communication delay data, transmission packet loss rate data and network throughput data according to the network communication information; The communication delay data, transmission packet loss rate data and network throughput data are processed through a preset communication performance evaluation database to obtain the Star Flash Gateway communication performance index.

4. According to a digital twin-based gateway intelligent optimization method according to claim 3, it is characterized in that: The method of obtaining the Star Flash Gateway data processing capability index is as follows: Processing time data and processing error rate data are extracted according to the data processing information and processed through a preset data processing capability evaluation database to obtain the Xingshan Gateway data processing capability index.

5. According to a digital twin-based gateway intelligent optimization method according to claim 4, it is characterized in that: The obtaining of the Star Flash Gateway operation stability index is specifically as follows: Extracting fault frequency data, restart number data and motion state fluctuation data according to the gateway operation stability information; The fault frequency data, restart number data and motion state fluctuation data are processed through a preset stability evaluation database to obtain the Star Flash Gateway operation stability index.

6. According to the digital twin-based gateway intelligent optimization method of claim 5, it is characterized in that: The obtaining of the Star Flash Gateway intelligent optimization strategy is specifically as follows: According to the communication performance index of the Xingshan Gateway, the data processing capability index of the Xingshan Gateway and the operation stability index of the Xingshan Gateway, a preset optimization decision model is used to obtain the intelligent optimization data of the Xingshan Gateway; A Xingshan gateway intelligent optimization strategy is generated according to the Xingshan gateway intelligent optimization data and sent to the terminal.

7. A gateway intelligent optimization system based on digital twins, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises a gateway intelligent optimization method program based on digital twins, and the gateway intelligent optimization method program based on digital twins implements the following steps when executed by the processor: Obtain the basic configuration information, operating environment information and gateway connection device information of the Star Flash device within the preset time period and build a digital model of the Star Flash gateway, perform simulated communication and extract network communication information, data processing information and gateway operation stability information; Processing the network communication information to obtain the Xingshan Gateway communication performance index; Processing is performed according to the data processing information to obtain the data processing capability index of the Xingshan Gateway; Processing is performed according to the gateway operation stability information to obtain the Xingshan gateway operation stability index; Processing is performed according to the communication performance index of the Xingshan Gateway, the data processing capability index of the Xingshan Gateway and the operation stability index of the Xingshan Gateway to obtain the intelligent optimization strategy of the Xingshan Gateway; According to the Star Flash Gateway intelligent optimization strategy, the physical Star Flash Gateway is optimized through the interactive mechanism of the Star Flash Gateway cloud platform and the remote control of the Star Flash technology.

8. According to the digital twin-based gateway intelligent optimization system of claim 7, it is characterized in that: The construction of the Star Flash Gateway digital model is specifically as follows: Obtain the basic configuration information, operating environment information and gateway connection device information of the Starflash device within the preset time period and build a digital model of the Starflash gateway; The basic configuration information of the Star Flash device includes device specification information, network parameter information, and communication configuration information; The operating environment information includes physical environment parameter information, network performance indicator information, resource utilization information and operating log information; The gateway connection device information includes terminal device type information, connection status information and data transmission volume information.

9. The gateway intelligent optimization system based on digital twin according to claim 8 is characterized in that: The obtaining of the Star Flash Gateway communication performance index is specifically as follows: Extracting communication delay data, transmission packet loss rate data and network throughput data according to the network communication information; The communication delay data, transmission packet loss rate data and network throughput data are processed through a preset communication performance evaluation database to obtain the Star Flash Gateway communication performance index.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a gateway intelligent optimization method, system and medium program based on digital twins. When the gateway intelligent optimization method, system and medium program based on digital twins are executed by the processor, the steps of the gateway intelligent optimization method based on digital twins as described in any one of claims 1 to 6 are implemented.

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