A cloud computing-based power grid integration application terminal access device and implementation method

Abstract

The present invention discloses a cloud computing-based power grid fusion application terminal access device and implementation method, which specifically relates to the field of power grid fusion communication technology, including a power grid terminal data communication interaction module, a power grid terminal communication monitoring module, a power grid terminal data access efficiency monitoring module, a power grid terminal data access risk analysis module, a power grid terminal data fusion risk assessment module, and a power grid terminal access communication performance optimization module. The present invention collects communication monitoring data of power grid fusion application terminals through a data collection cycle set by a bound API gateway plug-in, calculates a power grid terminal data access processing efficiency index, analyzes a power grid fusion application terminal access security risk coefficient, and switches the communication of abnormal power grid fusion application terminals to this by calculating the power grid terminal data communication performance index, thereby realizing a data communication task scheduling strategy for power grid fusion application terminals and improving the operating efficiency and resource utilization of power grid fusion application terminals.

Description

Technical Field

[0001] The present invention relates to the field of power grid convergence communication technology, and more specifically, to a power grid convergence application terminal access device based on cloud computing and an implementation method thereof. Background Art

[0002] With the rapid development of information technology, cloud computing has become a key force in promoting the intelligent transformation of power grids. Through the cloud computing platform, power grid companies can process and analyze massive amounts of data from millions of smart meters, realize real-time monitoring and predictive maintenance of the power grid's operating status, and provide powerful data processing capabilities and flexible resource allocation capabilities for the intelligentization of the power grid, enabling the power grid to respond to changes in energy demand more efficiently.

[0003] In the context of the integration of cloud computing and power grids, security threat analysis is particularly important. The access of power grid terminal devices increases the attack surface, making it possible for malicious attackers to invade the power grid control system through terminal devices. Compared with traditional network security protection, cloud security protection capabilities need to be continuously improved in depth and breadth, which puts higher requirements on the coordination between security components. It is necessary to rely on the integration of security technical defense measures from multiple parties to build a unified security technical defense measures capability integration architecture.

[0004] However, in actual use, it still has some shortcomings. For example, the traditional power grid network data communication performance control and cloud platform power grid integration application terminal access communication have not achieved coordination and unified control, resulting in abnormal power grid terminal data access efficiency and the inability to automatically switch to the monitoring environment.

[0005] Due to the complexity and diversity of power grid systems, existing power grid convergence application terminals are unable to accurately identify and assess the risks of communication failures. There is a lack of quantitative assessment methods for the risks of data access efficiency between communication interactive network management plug-ins and power grid terminals, making it impossible to monitor and assess risk changes during terminal access in real time. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a cloud computing-based power grid convergence application terminal access device and implementation method, which are used to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a cloud computing-based power grid integration application terminal access device, comprising:

[0008] Grid terminal data communication and interaction module: used to realize the communication and interaction of grid network data with the grid terminal through the bound API gateway plug-in.

[0009] Grid terminal communication monitoring module: used to collect communication monitoring data of grid fusion application terminals through the data collection cycle set by the bound API gateway plug-in. The grid terminal communication monitoring module includes a grid terminal access efficiency data monitoring unit and a grid terminal communication data monitoring unit. The communication monitoring data includes grid terminal access efficiency data and grid terminal communication data.

[0010] The power grid terminal data access efficiency monitoring module is used to calculate the power grid terminal data access processing efficiency index of each data collection cycle based on the power grid terminal access efficiency data of the power grid terminal access efficiency data monitoring unit.

[0011] Grid terminal data access risk analysis module: used to analyze the grid terminal data access processing efficiency index of each data collection cycle to obtain the grid integration application terminal access security risk coefficient of each data collection cycle.

[0012] Grid terminal data fusion risk assessment module: used to obtain the grid fusion application terminal access security risk coefficient of each data collection cycle, compare it with the preset grid fusion application terminal access security risk coefficient, and process it.

[0013] Grid terminal access communication performance optimization module: used to calculate the grid terminal data communication performance index based on the grid terminal communication data of the grid terminal communication data monitoring unit, and realize the switching of abnormal grid integration application terminals.

[0014] Preferably, the power grid terminal data communication interaction module is specifically:

[0015] Step S01: After initializing the grid fusion application terminal, the grid fusion application terminal is connected to the grid network;

[0016] Step S02: Bind the power grid integration application terminal to the API gateway plug-in to achieve communication and interaction between the power grid network data and the gateway;

[0017] Step S03: Setting the API gateway plug-in, including but not limited to setting the authentication, rules, and threshold parameters of the plug-in.

[0018] Preferably, the power grid terminal communication monitoring module is specifically:

[0019] Grid terminal access efficiency data monitoring unit: collects grid terminal access voltage communication efficiency index, grid terminal access current communication efficiency index, and grid terminal load of the grid fusion application terminal through the data collection cycle set by the bound API gateway plug-in, marked as XVi, XLi, and xhi respectively, where i = 1, 2, ... n, and i represents the number of the i-th data collection cycle;

[0020] Grid terminal communication data monitoring unit: collects the remaining memory of the grid terminal server, the memory occupied by the API gateway plug-in, and the throughput of the API gateway plug-in of the grid fusion application terminal through the data collection cycle set by the bound API gateway plug-in, and marks them as tfi, twi, and tpi respectively.

[0021] Preferably, the grid terminal access voltage communication efficiency index includes a grid terminal voltage value, a grid terminal voltage protection detection number, and a grid terminal voltage data transmission rate;

[0022] The grid terminal access current communication efficiency index includes a grid terminal current value, a grid terminal current protection detection number, and a grid terminal current data transmission rate.

[0023] Preferably, the power grid terminal data access efficiency monitoring module is specifically:

[0024] Step S01: Calculate the grid terminal access voltage communication efficiency index:

[0025]

[0026] Where XVi is the grid terminal access voltage communication efficiency index of the i-th data collection cycle, vki is the grid terminal voltage data transmission rate of the i-th data collection cycle, vji is the number of grid terminal current protection detections of the i-th data collection cycle, vyi is the grid terminal voltage value of the i-th data collection cycle, and VY is the grid terminal voltage value of the i-th data collection cycle. 阈 It is represented as the threshold value of the voltage at the grid terminal, and e is represented as a natural constant;

[0027] Step S02: Calculate the grid terminal access current communication efficiency index:

[0028]

[0029] Wherein, XLi represents the grid terminal access current communication efficiency index of the i-th data collection cycle, lki represents the grid terminal current data transmission rate of the i-th data collection cycle, lji represents the number of grid terminal current protection detections of the i-th data collection cycle, ldi represents the grid terminal current value of the i-th data collection cycle, and LD 阈 It represents the grid terminal current value threshold, ldmax represents the maximum value of the grid terminal current value, and ldmin represents the minimum value of the grid terminal current value;

[0030] Step S03: The calculation formula of the power grid terminal data access processing efficiency index is:

[0031]

[0032] Among them, αi represents the power grid terminal data access processing efficiency index of the i-th data collection cycle, VK 阈 Expressed as the grid terminal voltage data transmission rate threshold, LK 阈 It represents the grid terminal current data transmission rate threshold, xhi represents the grid terminal load in the i-th data collection cycle, n represents the total number of data collection cycles, ΔXV represents the mean value of the grid terminal access voltage communication efficiency index, and ΔXL represents the mean value of the grid terminal access current communication efficiency index;

[0033] in

[0034] Preferably, the calculation formula for the grid integration application terminal access security risk coefficient is:

[0035]

[0036] Among them, θi represents the grid integration application terminal access security risk coefficient of the i-th data collection cycle, αi represents the grid terminal data access processing efficiency index of the i-th data collection cycle, ε represents the mean square error of the grid terminal data access processing efficiency index, and n represents the total number of data collection cycles.

[0037] Preferably, the power grid terminal data fusion risk assessment module is specifically:

[0038] The grid fusion application terminal access security risk coefficient of each data collection period is obtained and compared with the preset grid fusion application terminal access security risk coefficient. If the grid fusion application terminal access security risk coefficient of a data collection period is less than the preset grid fusion application terminal access security risk coefficient, it indicates that there is an abnormality in the grid terminal access communication efficiency monitoring of the data collection period. The abnormal grid fusion application terminal should be transmitted to the grid terminal access communication performance optimization module for communication performance optimization. Otherwise, it indicates that there is no abnormality in the grid terminal access communication efficiency monitoring of the data collection period.

[0039] Preferably, the power grid terminal access communication performance optimization module is specifically:

[0040] Step S01: The remaining amount of the power grid terminal server memory and the amount of memory occupied by the API gateway plug-in of the power grid fusion application terminal are collected through the data collection cycle set by the bound API gateway plug-in, and the degree of power grid terminal memory pressure is calculated:

[0041]

[0042] Among them, fwi represents the memory pressure level of the power grid terminal in the i-th data collection cycle, twi represents the memory occupied by the API gateway plug-in in the i-th data collection cycle, tfi represents the remaining memory of the power grid terminal server in the i-th data collection cycle, μ1 and μ2 represent the influencing factors of the remaining memory of the power grid terminal server and the memory occupied by the API gateway plug-in, respectively;

[0043] Step S02: The calculation formula of the power grid terminal data communication performance index is:

[0044]

[0045] in, Expressed as the power grid terminal data communication performance index, FW 预 It represents the preset power grid terminal memory pressure level, tpi represents the API gateway plug-in throughput of the i-th data collection cycle, TPthreshold represents the API gateway plug-in throughput threshold, P 允 It is represented as the allowable error value of the API gateway plug-in throughput, and Ti is represented as the data collection duration of the i-th data collection cycle;

[0046] Step S03: obtaining a grid terminal data communication performance index, comparing it with a preset grid terminal data communication performance index, screening out grid fusion application terminals whose grid terminal data communication performance index is less than the preset grid terminal data communication performance index, and marking them as data communication dispatching grid terminals;

[0047] Step S04: Receive the abnormal grid fusion application terminal transmitted by the grid terminal data fusion risk assessment module, and switch the communication and interaction between the grid network data and the gateway to the data communication scheduling grid terminal through the bound API gateway plug-in.

[0048] Preferably, a method for implementing terminal access to a power grid convergence application based on cloud computing comprises the following steps:

[0049] Step S01: Grid terminal data communication interaction: used to realize grid network data communication and interaction with the grid terminal through the bound API gateway plug-in;

[0050] Step S02: Grid terminal communication monitoring: used to collect communication monitoring data of the grid fusion application terminal through the data collection cycle set by the bound API gateway plug-in. The grid terminal communication monitoring includes a grid terminal access efficiency data monitoring unit and a grid terminal communication data monitoring unit. The communication monitoring data includes grid terminal access efficiency data and grid terminal communication data.

[0051] Step S03: Grid terminal data access efficiency monitoring: used to calculate the grid terminal data access processing efficiency index of each data collection cycle based on the grid terminal access efficiency data of the grid terminal access efficiency data monitoring unit;

[0052] Step S04: Grid terminal data access risk analysis: used to analyze and obtain the grid convergence application terminal access security risk coefficient for each data collection period based on the grid terminal data access processing efficiency index for each data collection period;

[0053] Step S05: Grid terminal data fusion risk assessment: used to obtain the grid fusion application terminal access security risk coefficient of each data collection cycle, compare it with the preset grid fusion application terminal access security risk coefficient, and process it;

[0054] Step S06: Optimizing the access communication performance of power grid terminals: calculating the power grid terminal data communication performance index based on the power grid terminal communication data of the power grid terminal communication data monitoring unit, and realizing the switching of abnormal power grid integration application terminals.

[0055] Technical effects and advantages of the present invention:

[0056] 1. The present invention provides a cloud computing-based grid convergence application terminal access device and implementation method. The device realizes the communication and interaction of grid network data with the grid terminal through a bound API gateway plug-in. The grid terminal data access processing efficiency index of each data collection cycle is calculated based on the grid terminal access efficiency data of the grid terminal access efficiency data monitoring unit. The grid convergence application terminal access security risk coefficient of each data collection cycle is further analyzed and compared with the preset grid convergence application terminal access security risk coefficient. If the grid convergence application terminal access security risk coefficient of a certain data collection cycle is less than the preset grid convergence application terminal access security risk coefficient, it indicates that there is an abnormality in the grid terminal access communication efficiency monitoring of the data collection cycle. The abnormal grid convergence application terminal should be transmitted to the grid terminal access communication performance optimization module for communication performance optimization. Otherwise, it indicates that there is no abnormality in the grid terminal access communication efficiency monitoring of the data collection cycle. The API gateway plug-in is used as a communication and interaction bridge for grid network data to improve the data interaction efficiency of the grid terminal. By automatically determining whether there is an abnormality in the grid terminal access communication efficiency, the automated analysis of risk analysis is realized. By timely discovering and processing communication anomalies, security risks caused by communication failures in the grid terminal are avoided.

[0057] 2. The present invention provides a cloud computing-based power grid fusion application terminal access device and implementation method, which collects communication monitoring data of the power grid fusion application terminal through the data collection period set by the bound API gateway plug-in, calculates the power grid terminal data communication performance index based on the power grid terminal communication data monitoring unit, screens out power grid fusion application terminals whose power grid terminal data communication performance index is less than the preset power grid terminal data communication performance index, and marks them as data communication scheduling power grid terminals, so that the communication and interaction between the power grid network data of the abnormal power grid fusion application terminal and the gateway are switched here through the bound API gateway plug-in, and based on the real-time monitoring of the communication performance of the power grid terminal, the data communication task scheduling strategy of the power grid fusion application terminal is realized, thereby realizing the internal dynamic load balancing of the power grid terminal and improving the operation efficiency and resource utilization of the power grid fusion application terminal. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a schematic diagram of the device module process connection of the present invention.

[0059] Figure 2 It is a schematic diagram of the structure of the power grid terminal communication monitoring module of the present invention.

[0060] Figure 3 It is a schematic diagram of the connection of the method steps of the present invention. DETAILED DESCRIPTION

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0062] See also Figure 1 As shown, the present invention provides a cloud computing-based power grid fusion application terminal access device, including a power grid terminal data communication interaction module, a power grid terminal communication monitoring module, a power grid terminal data access efficiency monitoring module, a power grid terminal data access risk analysis module, a power grid terminal data fusion risk assessment module, and a power grid terminal access communication performance optimization module.

[0063] The grid terminal data communication interaction module is connected to the grid terminal communication monitoring module, the grid terminal communication monitoring module is connected to the grid terminal data access efficiency monitoring module, the grid terminal data access efficiency monitoring module is connected to the grid terminal data access risk analysis module, the grid terminal data access risk analysis module is connected to the grid terminal data fusion risk assessment module, and the grid terminal data fusion risk assessment module is connected to the grid terminal access communication performance optimization module.

[0064] The power grid terminal data communication and interaction module is used to realize the communication and interaction of power grid network data with the power grid terminal through the bound API gateway plug-in.

[0065] In one possible design, the power grid terminal data communication interaction module is specifically:

[0066] Step S01: After initializing the grid fusion application terminal, the grid fusion application terminal is connected to the grid network;

[0067] Step S02: Bind the power grid integration application terminal to the API gateway plug-in to achieve communication and interaction between the power grid network data and the gateway;

[0068] Step S03: Setting the API gateway plug-in, including but not limited to setting the authentication, rules, and threshold parameters of the plug-in.

[0069] See also Figure 2 As shown, the power grid terminal communication monitoring module is used to collect communication monitoring data of the power grid fusion application terminal through the data collection cycle set by the bound API gateway plug-in. The power grid terminal communication monitoring module includes a power grid terminal access efficiency data monitoring unit and a power grid terminal communication data monitoring unit. The communication monitoring data includes power grid terminal access efficiency data and power grid terminal communication data.

[0070] In one possible design, the power grid terminal communication monitoring module is specifically:

[0071] Grid terminal access efficiency data monitoring unit: collects grid terminal access voltage communication efficiency index, grid terminal access current communication efficiency index, and grid terminal load of the grid fusion application terminal through the data collection cycle set by the bound API gateway plug-in, marked as XVi, XLi, and xhi respectively, where i = 1, 2, ... n, and i represents the number of the i-th data collection cycle;

[0072] Grid terminal communication data monitoring unit: collects the remaining memory of the grid terminal server, the memory occupied by the API gateway plug-in, and the throughput of the API gateway plug-in of the grid fusion application terminal through the data collection cycle set by the bound API gateway plug-in, and marks them as tfi, twi, and tpi respectively.

[0073] In one possible design, the grid terminal access voltage communication efficiency index includes a grid terminal voltage value, a grid terminal voltage protection detection number, and a grid terminal voltage data transmission rate;

[0074] The grid terminal access current communication efficiency index includes a grid terminal current value, a grid terminal current protection detection number, and a grid terminal current data transmission rate.

[0075] The power grid terminal data access efficiency monitoring module is used to calculate the power grid terminal data access processing efficiency index of each data collection cycle based on the power grid terminal access efficiency data of the power grid terminal access efficiency data monitoring unit.

[0076] In one possible design, the power grid terminal data access efficiency monitoring module is specifically:

[0077] Step S01: Calculate the grid terminal access voltage communication efficiency index:

[0078]

[0079] Where XVi is the grid terminal access voltage communication efficiency index of the i-th data collection cycle, vki is the grid terminal voltage data transmission rate of the i-th data collection cycle, vji is the number of grid terminal current protection detections of the i-th data collection cycle, vyi is the grid terminal voltage value of the i-th data collection cycle, and VY is the grid terminal voltage value of the i-th data collection cycle. 阈 It is represented as the threshold value of the voltage at the grid terminal, and e is represented as a natural constant;

[0080] Step S02: Calculate the grid terminal access current communication efficiency index:

[0081]

[0082] Wherein, XLi represents the grid terminal access current communication efficiency index of the i-th data collection cycle, lki represents the grid terminal current data transmission rate of the i-th data collection cycle, lji represents the number of grid terminal current protection detections of the i-th data collection cycle, ldi represents the grid terminal current value of the i-th data collection cycle, and LD 阈 It represents the grid terminal current value threshold, ldmax represents the maximum value of the grid terminal current value, and ldmin represents the minimum value of the grid terminal current value;

[0083] Step S03: The calculation formula of the power grid terminal data access processing efficiency index is:

[0084]

[0085] Among them, αi represents the power grid terminal data access processing efficiency index of the i-th data collection cycle, VK 阈 Expressed as the grid terminal voltage data transmission rate threshold, LK 阈It represents the grid terminal current data transmission rate threshold, xhi represents the grid terminal load in the i-th data collection cycle, n represents the total number of data collection cycles, ΔXV represents the mean value of the grid terminal access voltage communication efficiency index, and ΔXL represents the mean value of the grid terminal access current communication efficiency index;

[0086] in

[0087] The power grid terminal data access risk analysis module is used to analyze and obtain the power grid convergence application terminal access security risk coefficient of each data collection period based on the power grid terminal data access processing efficiency index of each data collection period.

[0088] In one possible design, the calculation formula for the grid integration application terminal access security risk coefficient is:

[0089]

[0090] Among them, θi represents the grid integration application terminal access security risk coefficient of the i-th data collection cycle, αi represents the grid terminal data access processing efficiency index of the i-th data collection cycle, ε represents the mean square error of the grid terminal data access processing efficiency index, and n represents the total number of data collection cycles.

[0091] In this embodiment, it should be specifically explained that the calculation formula of the mean square error of the power grid terminal data access processing efficiency index is:

[0092]

[0093] Where ε represents the mean square error of the power grid terminal data access and processing efficiency index, αi represents the power grid terminal data access and processing efficiency index of the i-th data collection cycle, and Δα represents the mean value of the power grid terminal data access and processing efficiency index.

[0094] The power grid terminal data fusion risk assessment module is used to obtain the power grid fusion application terminal access security risk coefficient of each data collection period, compare it with the preset power grid fusion application terminal access security risk coefficient, and process it.

[0095] In one possible design, the power grid terminal data fusion risk assessment module is specifically:

[0096] The grid fusion application terminal access security risk coefficient of each data collection period is obtained and compared with the preset grid fusion application terminal access security risk coefficient. If the grid fusion application terminal access security risk coefficient of a data collection period is less than the preset grid fusion application terminal access security risk coefficient, it indicates that there is an abnormality in the grid terminal access communication efficiency monitoring of the data collection period. The abnormal grid fusion application terminal should be transmitted to the grid terminal access communication performance optimization module for communication performance optimization. Otherwise, it indicates that there is no abnormality in the grid terminal access communication efficiency monitoring of the data collection period.

[0097] The grid terminal access communication performance optimization module is used to calculate the grid terminal data communication performance index based on the grid terminal communication data of the grid terminal communication data monitoring unit, so as to realize the switching of abnormal grid fusion application terminals.

[0098] In one possible design, the grid terminal access communication performance optimization module is specifically:

[0099] Step S01: The remaining amount of the power grid terminal server memory and the amount of memory occupied by the API gateway plug-in of the power grid fusion application terminal are collected through the data collection cycle set by the bound API gateway plug-in, and the degree of power grid terminal memory pressure is calculated:

[0100]

[0101] Among them, fwi represents the memory pressure level of the power grid terminal in the i-th data collection cycle, twi represents the memory occupied by the API gateway plug-in in the i-th data collection cycle, tfi represents the remaining memory of the power grid terminal server in the i-th data collection cycle, μ1 and μ2 represent the influencing factors of the remaining memory of the power grid terminal server and the memory occupied by the API gateway plug-in, respectively;

[0102] Step S02: The calculation formula of the power grid terminal data communication performance index is:

[0103]

[0104] in, Expressed as the power grid terminal data communication performance index, FW 预 It represents the preset power grid terminal memory pressure level, tpi represents the API gateway plug-in throughput of the i-th data collection cycle, TPthreshold represents the API gateway plug-in throughput threshold, P 允 It is represented as the allowable error value of the API gateway plug-in throughput, and Ti is represented as the data collection duration of the i-th data collection cycle;

[0105] Step S03: obtaining a grid terminal data communication performance index, comparing it with a preset grid terminal data communication performance index, screening out grid fusion application terminals whose grid terminal data communication performance index is less than the preset grid terminal data communication performance index, and marking them as data communication dispatching grid terminals;

[0106] Step S04: Receive the abnormal grid fusion application terminal transmitted by the grid terminal data fusion risk assessment module, and switch the communication and interaction between the grid network data and the gateway to the data communication scheduling grid terminal through the bound API gateway plug-in.

[0107] In this embodiment, it should be specifically explained that the calculation formula of the influencing factor of the remaining amount of memory of the power grid terminal server is:

[0108]

[0109] Wherein, μ1 represents the influencing factor of the remaining amount of memory in the power grid terminal server, tfi represents the remaining amount of memory in the power grid terminal server in the i-th data collection cycle, and i-1 represents the number of the i-1th data collection cycle;

[0110] The calculation formula for the influencing factor of the memory occupied by the API gateway plug-in is:

[0111]

[0112] Among them, μ2 represents the influencing factor of the memory occupied by the API gateway plug-in, and twi represents the memory occupied by the API gateway plug-in in the i-th data collection cycle.

[0113] See also Figure 3 As shown, in this embodiment, it should be specifically explained that the present invention provides a method for implementing terminal access of power grid integration applications based on cloud computing, including the following steps:

[0114] Step S01: Grid terminal data communication interaction: used to realize grid network data communication and interaction with the grid terminal through the bound API gateway plug-in;

[0115] Step S02: Grid terminal communication monitoring: used to collect communication monitoring data of the grid fusion application terminal through the data collection cycle set by the bound API gateway plug-in. The grid terminal communication monitoring includes a grid terminal access efficiency data monitoring unit and a grid terminal communication data monitoring unit. The communication monitoring data includes grid terminal access efficiency data and grid terminal communication data.

[0116] Step S03: Grid terminal data access efficiency monitoring: used to calculate the grid terminal data access processing efficiency index of each data collection cycle based on the grid terminal access efficiency data of the grid terminal access efficiency data monitoring unit;

[0117] Step S04: Grid terminal data access risk analysis: used to analyze and obtain the grid convergence application terminal access security risk coefficient for each data collection period based on the grid terminal data access processing efficiency index for each data collection period;

[0118] Step S05: Grid terminal data fusion risk assessment: used to obtain the grid fusion application terminal access security risk coefficient of each data collection cycle, compare it with the preset grid fusion application terminal access security risk coefficient, and process it;

[0119] Step S06: Optimizing the access communication performance of power grid terminals: calculating the power grid terminal data communication performance index based on the power grid terminal communication data of the power grid terminal communication data monitoring unit, and realizing the switching of abnormal power grid integration application terminals.

[0120] In this embodiment, it should be specifically noted that the present invention implements communication and interaction of power grid network data with power grid terminals through a bound API gateway plug-in. Based on the power grid terminal access efficiency data from the power grid terminal access efficiency data monitoring unit, a power grid terminal data access processing efficiency index for each data collection period is calculated. Further analysis is performed to obtain a power grid convergence application terminal access security risk coefficient for each data collection period, which is then compared with a preset power grid convergence application terminal access security risk coefficient. If the power grid convergence application terminal access security risk coefficient for a data collection period is less than the preset power grid convergence application terminal access security risk coefficient, it indicates that an abnormality exists in the power grid terminal access communication efficiency monitoring for that data collection period. The abnormal power grid convergence application terminal should be transferred to the power grid terminal access communication performance optimization module for communication performance optimization. Otherwise, it indicates that no abnormality exists in the power grid terminal access communication efficiency monitoring for that data collection period. The API gateway plug-in is used as a communication and interaction bridge for power grid network data to improve the data interaction efficiency of power grid terminals. By automatically determining whether there is an abnormality in the power grid terminal access communication efficiency, automated risk analysis is achieved. By promptly detecting and addressing communication anomalies, security risks posed by power grid terminals due to communication failures are avoided.

[0121] The present invention collects communication monitoring data of power grid fusion application terminals through the data collection period set by the bound API gateway plug-in, calculates the power grid terminal data communication performance index according to the power grid terminal communication data monitoring unit, screens out power grid fusion application terminals whose power grid terminal data communication performance index is less than the preset power grid terminal data communication performance index, and marks them as data communication scheduling power grid terminals, so that the communication and interaction between the power grid network data of the abnormal power grid fusion application terminal and the gateway are switched here through the bound API gateway plug-in, and based on the real-time monitoring of the communication performance of the power grid terminal, the data communication task scheduling strategy of the power grid fusion application terminal is realized, thereby realizing the internal dynamic load balancing of the power grid terminal and improving the operation efficiency and resource utilization of the power grid fusion application terminal.

[0122] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A cloud computing-based power grid integration application terminal access device, characterized in that: include: Grid terminal data communication and interaction module: used to realize the communication and interaction of grid network data with the grid terminal through the bound API gateway plug-in; Grid terminal communication monitoring module: used to collect communication monitoring data of grid fusion application terminals through the data collection cycle set by the bound API gateway plug-in. The grid terminal communication monitoring module includes a grid terminal access efficiency data monitoring unit and a grid terminal communication data monitoring unit. The communication monitoring data includes grid terminal access efficiency data and grid terminal communication data; The power grid terminal data access efficiency monitoring module is used to calculate the power grid terminal data access processing efficiency index of each data collection cycle based on the power grid terminal access efficiency data of the power grid terminal access efficiency data monitoring unit; Grid terminal data access risk analysis module: used to analyze the grid terminal data access processing efficiency index of each data collection cycle to obtain the grid convergence application terminal access security risk coefficient for each data collection cycle; Grid terminal data fusion risk assessment module: used to obtain the grid fusion application terminal access security risk coefficient for each data collection cycle, compare it with the preset grid fusion application terminal access security risk coefficient, and process it; The power grid terminal data fusion risk assessment module is specifically: Obtain the grid fusion application terminal access security risk coefficient for each data collection period and compare it with the preset grid fusion application terminal access security risk coefficient. If the grid fusion application terminal access security risk coefficient for a certain data collection period is less than the preset grid fusion application terminal access security risk coefficient, it indicates that there is an abnormality in the grid terminal access communication efficiency monitoring for that data collection period. The abnormal grid fusion application terminal should be transmitted to the grid terminal access communication performance optimization module for communication performance optimization. Otherwise, it indicates that there is no abnormality in the grid terminal access communication efficiency monitoring for that data collection period. Grid terminal access communication performance optimization module: used to calculate the grid terminal data communication performance index based on the grid terminal communication data of the grid terminal communication data monitoring unit, and realize the switching of abnormal grid integration application terminals; The power grid terminal access communication performance optimization module is specifically: Step S01: The remaining amount of the power grid terminal server memory and the amount of memory occupied by the API gateway plug-in of the power grid fusion application terminal are collected through the data collection cycle set by the bound API gateway plug-in, and the degree of power grid terminal memory pressure is calculated: Among them, fw i It is expressed as the memory pressure level of the power grid terminal in the i-th data collection cycle, tw i It represents the memory occupied by the API gateway plug-in in the i-th data collection cycle, tf i It represents the remaining memory of the power grid terminal server in the i-th data collection cycle, μ1 and μ2 represent the influencing factors of the remaining memory of the power grid terminal server and the memory occupied by the API gateway plug-in, respectively; Step S02: The calculation formula of the power grid terminal data communication performance index is: in, Expressed as the power grid terminal data communication performance index, FW 预 It is expressed as the preset power grid terminal memory pressure level, tp i It is expressed as the API gateway plug-in throughput of the i-th data collection cycle, TP 阈 Expressed as the API gateway plug-in throughput threshold, P 允 It is expressed as the allowable error value of the API gateway plug-in throughput, T i It is expressed as the data collection duration of the i-th data collection cycle; Step S03: obtaining a grid terminal data communication performance index, comparing it with a preset grid terminal data communication performance index, screening out grid fusion application terminals whose grid terminal data communication performance index is less than the preset grid terminal data communication performance index, and marking them as data communication dispatching grid terminals; Step S04: Receive the abnormal grid fusion application terminal transmitted by the grid terminal data fusion risk assessment module, and switch the communication and interaction between the grid network data and the gateway to the data communication scheduling grid terminal through the bound API gateway plug-in.

2. The cloud computing-based power grid integration application terminal access device according to claim 1, characterized in that: The power grid terminal data communication interaction module is specifically: Step S01: After initializing the grid fusion application terminal, the grid fusion application terminal is connected to the grid network; Step S02: Bind the power grid integration application terminal to the API gateway plug-in to achieve communication and interaction between the power grid network data and the gateway; Step S03: Setting the API gateway plug-in, including setting the plug-in's authentication, rules, and threshold parameters.

3. The cloud computing-based power grid integration application terminal access device according to claim 1, characterized in that: The power grid terminal communication monitoring module is specifically: Grid terminal access efficiency data monitoring unit: collects grid terminal access voltage communication efficiency index, grid terminal access current communication efficiency index, and grid terminal load of the grid fusion application terminal through the data collection cycle set by the bound API gateway plug-in, marked as XV respectively i XL i 、xh i , where i = 1, 2, ... n, i represents the number of the i-th data collection cycle; Grid terminal communication data monitoring unit: collects the remaining memory of the grid terminal server, the memory occupied by the API gateway plug-in, and the throughput of the API gateway plug-in of the grid fusion application terminal through the data collection cycle set by the bound API gateway plug-in, marked as tf respectively i , tw i 、tp i .

4. The cloud computing-based power grid integration application terminal access device according to claim 2, characterized in that: The grid terminal access voltage communication efficiency index includes the grid terminal voltage value, the grid terminal voltage protection detection times, and the grid terminal voltage data transmission rate; The grid terminal access current communication efficiency index includes a grid terminal current value, a grid terminal current protection detection number, and a grid terminal current data transmission rate.

5. The cloud computing-based power grid integration application terminal access device according to claim 1, characterized in that: The power grid terminal data access efficiency monitoring module is specifically: Step S01: Calculate the grid terminal access voltage communication efficiency index: Among them, XV i Expressed as the grid terminal access voltage communication efficiency index of the i-th data collection cycle, vk i Expressed as the grid terminal voltage data transmission rate in the i-th data acquisition cycle, vj i It is expressed as the number of grid terminal current protection detections in the i-th data acquisition cycle, vy i It is expressed as the grid terminal voltage value of the ith data collection cycle, VY 阈 It is represented as the threshold value of the voltage at the grid terminal, and e is represented as a natural constant; Step S02: Calculate the grid terminal access current communication efficiency index: Among them, XL i It is expressed as the communication efficiency index of the grid terminal access current in the i-th data collection cycle, lk i It is expressed as the grid terminal current data transmission rate of the i-th data acquisition cycle, lj i It is expressed as the number of grid terminal current protection detections in the i-th data acquisition cycle, ld i It is represented by the grid terminal current value of the i-th data collection cycle, LD 阈 Expressed as the grid terminal current value threshold, ld max Expressed as the maximum value of the grid terminal current, ld min It is expressed as the minimum value of the grid terminal current; Step S03: The calculation formula of the power grid terminal data access processing efficiency index is: Among them, α i Expressed as the power grid terminal data access processing efficiency index of the i-th data collection cycle, VK 阈 Expressed as the grid terminal voltage data transmission rate threshold, LK 阈 Expressed as the grid terminal current data transmission rate threshold, xh i It represents the grid terminal load in the i-th data collection cycle, n represents the total number of data collection cycles, ΔXV represents the mean value of the grid terminal access voltage communication efficiency index, and ΔXL represents the mean value of the grid terminal access current communication efficiency index; in 6. The cloud computing-based power grid integration application terminal access device according to claim 1, characterized in that: The calculation formula for the grid integration application terminal access security risk coefficient is: Among them, θ i Expressed as the grid integration application terminal access security risk coefficient of the i-th data collection cycle, α i It is represented as the power grid terminal data access processing efficiency index of the i-th data collection cycle, ε is represented as the mean square error of the power grid terminal data access processing efficiency index, and n is represented as the total number of data collection cycles.

7. A method for implementing terminal access to a power grid convergence application based on cloud computing, using a terminal access device for a power grid convergence application based on cloud computing according to any one of claims 1 to 6, characterized in that: The following steps are involved: Step S01: Grid terminal data communication interaction: used to realize grid network data communication and interaction with the grid terminal through the bound API gateway plug-in; Step S02: Grid terminal communication monitoring: used to collect communication monitoring data of the grid fusion application terminal through the data collection cycle set by the bound API gateway plug-in. The grid terminal communication monitoring includes a grid terminal access efficiency data monitoring unit and a grid terminal communication data monitoring unit. The communication monitoring data includes grid terminal access efficiency data and grid terminal communication data. Step S03: Grid terminal data access efficiency monitoring: used to calculate the grid terminal data access processing efficiency index of each data collection cycle based on the grid terminal access efficiency data of the grid terminal access efficiency data monitoring unit; Step S04: Grid terminal data access risk analysis: used to analyze and obtain the grid convergence application terminal access security risk coefficient for each data collection period based on the grid terminal data access processing efficiency index for each data collection period; Step S05: Grid terminal data fusion risk assessment: used to obtain the grid fusion application terminal access security risk coefficient of each data collection cycle, compare it with the preset grid fusion application terminal access security risk coefficient, and process it; Step S06: Optimizing the access communication performance of power grid terminals: calculating the power grid terminal data communication performance index based on the power grid terminal communication data of the power grid terminal communication data monitoring unit, and realizing the switching of abnormal power grid integration application terminals.

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