Master network device status comprehensive early warning and control method and electronic device

Abstract

The present invention relates to the field of data processing and discloses a method and electronic equipment for comprehensive early warning control of main network device status. The method operates based on a unidirectional ring link of "main network device → edge device → front-end device → main network device". Under the isolation condition of prohibiting two-way real-time data interaction, the front-end device is used as the control center. The gravity calculation factor generated according to the relevant information of the edge device is used to calculate the data gravity of each edge device to different main network devices, and then the adaptation priority of the edge device to the main network device is quantified, so as to realize dynamic matching of the main network device and the edge device, avoid the problem of unstable delay caused by local computing power resources shortage, and meet the real-time requirements of comprehensive early warning control of the main network device status.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a method for comprehensive early warning control of main network equipment status and electronic equipment. Background Art

[0002] Main network equipment includes critical devices such as transformers, circuit breakers, switches, and servers. Their status directly impacts the reliability and security of the entire system. Main network equipment failures can develop rapidly, requiring abnormality identification, early warning delivery, and control command issuance typically within 10 seconds to prevent a chain reaction. Accurately understanding equipment status and implementing effective early warning and control measures are crucial to ensuring the normal operation of the main network system.

[0003] The power system adheres to the "Electric Power Monitoring System Safety Protection Regulations," which require physical isolation between the production control area (including equipment monitoring data) and the information management area (including the front-end control platform), prohibiting two-way real-time data exchange. Existing fault warning and identification algorithms are already very mature, but the bottleneck lies in the real-time nature of warnings when two-way real-time data exchange is prohibited.

[0004] Some solutions use local processing at the edge to identify anomalies, but due to limited computing power, the algorithm execution takes a long time. Some solutions transmit data one-way to the cloud through a gateway. Although this provides sufficient computing power, security requirements require complex encryption or desensitization, resulting in data latency that is difficult to meet.

[0005] Therefore, in an isolated environment where two-way real-time data interaction is prohibited, how to ensure that the early warning can meet the delay requirements is a technical problem that urgently needs to be solved. Summary of the Invention

[0006] In response to the problem of long data delay of warning information in an isolated environment in the existing technology, the present invention provides a comprehensive warning and control method and electronic equipment for the main network device status. The method is based on the unidirectional ring link operation of "main network device → edge device → front-end device → main network device". Under the isolation condition that prohibits two-way real-time data interaction, the front-end device is used as the control center. The gravity calculation factor generated according to the relevant information of the edge device is used to calculate the data gravity of each edge device to different main network devices, and then the adaptation priority of the edge device to the main network device is quantified to achieve dynamic matching between the main network device and the edge device, avoiding the problem of unstable delay caused by local computing power resources shortage, and meeting the real-time requirements of comprehensive warning and control of the main network device status.

[0007] The following are the technical solutions of the present invention.

[0008] A comprehensive early warning and control method for main network device status is implemented based on a unidirectional ring link constructed sequentially from the main network device to the edge device and then to the front-end device. The method includes the following steps:

[0009] The front-end device obtains the temporary key from the edge device, the processing results of the main network device operating parameters, and the gravity calculation factor;

[0010] Calculate the data gravity of different edge devices to each main network device based on the gravity calculation factor;

[0011] Determine the optimal paired edge device for the main network device based on data gravity, and send the temporary key of the optimal paired edge device to the main network device to establish a temporary one-way encrypted channel from the main network device to the edge device;

[0012] If the processing result of the main network device operating parameters contains abnormal information, at least one suboptimal paired edge device corresponding to the main network device is determined, and the temporary key of the suboptimal paired edge device is sent to the main network device, and the abnormal information is displayed on the front end at the same time.

[0013] In the present invention, relying on the unidirectional ring link, the front-end device receives various information from the edge device and sends relevant instructions to the main network device, thereby building a control closed loop and ensuring the absolute security of the main network information. At the same time, a unique data gravity mechanism is used to determine the pairing relationship between the main network device and the edge device, realizing the dynamic allocation of hardware resources of the edge device, and finally establishing a unidirectional encrypted channel from the main network device to the edge device through a temporary key, realizing the secure transmission and processing of data under the premise of meeting the physical isolation requirements of the power system (prohibiting two-way real-time interaction).

[0014] As a possible implementation, the gravity calculation factor is used to calculate data gravity, including computing power information of edge devices and communication delay with main network devices.

[0015] As a possible implementation, calculating the data gravity of different edge devices to each main network device based on the gravity calculation factor includes:

[0016] Encapsulate the computing power resources of different architectures in the computing power information into computing power values in standardized units;

[0017] The data gravity of different edge devices to each main network device is calculated based on the edge device computing power value and the communication delay between the main network device and the edge device.

[0018] In the present invention, the calculation principle of data gravity is that the higher the computing power value, the more attractive it is, and the lower the communication delay, the more attractive it is.

[0019] As a possible implementation, encapsulating computing resources of different architectures in the computing power information into computing power values in standardized units includes:

[0020] Determine the computing power hardware architecture of the edge device, define the corresponding computing power conversion formula for different architectures, map the original hardware parameters under the computing power hardware architecture of the edge device into a unified standardized unit, calculate and obtain the computing power value under the standardized unit, and determine the available computing power value based on the actual occupancy rate.

[0021] As a possible implementation, the calculation of the data gravity of different edge devices to each main network device based on the edge device computing power value and the communication delay between the main network device and the edge device includes:

[0022] Determine the gravity calculation formula:

[0023] ;

[0024] Among them, F is the data gravity, G is the gravity constant, M is the available computing power value of the edge device, r is the communication delay between the edge device and the main network device, and m is the data volume of the main network device. G and m do not affect the optimal sorting and are simplified to the constant 1.

[0025] This invention draws inspiration from the law of universal gravitation and analogizes the transfer of operating parameters to the movement of matter. The higher the available computing power of an edge device and the lower the communication latency, the more attractive the edge device is to the operating parameters. Ultimately, the operating parameters of the main network device will be transferred to the edge device with the highest attraction. Furthermore, since the gravitational constant and the amount of data on the main network device do not affect the results when calculating the same main network device, they are all set to 1 to reduce the computational effort.

[0026] As a possible implementation, determining the optimal paired edge device for the primary network device based on data gravity includes:

[0027] The data gravity of different edge devices to the same main network device is sorted in reverse order, and the one ranked first is the optimal paired edge device for the main network device.

[0028] As a possible implementation, determining at least one suboptimal paired edge device corresponding to the main network device includes: selecting the first N edge devices except the optimal paired edge device as suboptimal pairings according to the reverse order of the data gravity, where N≥1.

[0029] As a possible implementation, the pairing period between the edge device and the main network device is determined according to the validity period of the temporary key.

[0030] The present invention also provides another method for comprehensive early warning and control of the main network device status, which operates based on a unidirectional ring link constructed from the main network device to the edge device and then to the front-end device. The method includes the following steps:

[0031] The edge device receives the encrypted operating parameters sent by the main network device;

[0032] Use its own temporary key to decrypt the operating parameters sent by the main network device. If the decryption is successful, it will be parsed based on the preset processing program to obtain the processing results;

[0033] Send its own temporary key, the processing results of the main network device operating parameters and the gravity calculation factor to the front-end device.

[0034] The present invention also provides another method for comprehensive early warning and control of the main network device status, which operates based on a unidirectional ring link constructed from the main network device to the edge device and then to the front-end device. The method includes the following steps:

[0035] The main network device receives the temporary key sent by the front-end device and establishes a temporary one-way encrypted channel from the main network device to the edge device;

[0036] Obtain operating parameters, encrypt them with a temporary key, and send them to the edge device;

[0037] If the temporary key is not unique, it will be periodically encrypted using different temporary keys and sent to the corresponding edge device.

[0038] The present invention also provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, it implements the steps of any of the above-mentioned main network device status comprehensive early warning and control methods.

[0039] The present invention also provides a storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are loaded and executed by a processor, the steps of the above-mentioned main network device status comprehensive early warning control method are implemented.

[0040] The substantial effects of the present invention include:

[0041] The one-way link design eliminates the reverse transmission of data in principle, and cuts off the external attack path to the main network device from the architectural perspective; a temporary key is used to establish a one-way encrypted channel from the main network device to the edge device. The temporary key is generated by the edge device and transferred and issued through the front-end device to avoid the risk of fixed key leakage. The key validity period is bound to the pairing period to achieve dynamic security authentication of the communication link.

[0042] For the diverse hardware architectures of edge devices (such as x86, ARM, and ASIC), the original hardware parameters (such as the number of CPU cores and GPU floating-point computing power) are converted into comparable computing power values through standardized computing power packaging. Unique data gravity calculations are performed in combination with communication delays to support unified management and scheduling of different types of edge devices by front-end devices.

[0043] On this basis, since the computing power resources of edge devices can be fully scheduled and utilized, the complex process of transmitting data to the cloud through the network gateway in traditional solutions can be avoided, and the data processing delay can be compressed to the local edge node. This not only solves the computing power bottleneck of edge devices, but also avoids the complex process required for cloud computing, thereby greatly compressing data delay to meet the early warning needs of main network equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 is a schematic diagram of a unidirectional ring link according to an embodiment of the present invention;

[0045] Figure 2 is a flow chart of an embodiment of the present invention;

[0046] Figure 3 is another flow chart of an embodiment of the present invention;

[0047] Figure 4 This is another flow chart of an embodiment of the present invention. DETAILED DESCRIPTION

[0048] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all 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.

[0049] It should be understood that in various embodiments of the present invention, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0050] It should be understood that in the present invention, "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0051] It should be understood that in the present invention, "multiple" refers to two or more. "And / or" is only a description of the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "Contains A, B and C", "Contains A, B, C" means that A, B, and C are all included, "Contains A, B or C" means that one of A, B, and C is included, and "Contains A, B and / or C" means that any one, any two, or any three of A, B, and C are included.

[0052] The technical solution of the present invention is described in detail below with reference to specific embodiments. The embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0053] Example: A comprehensive early warning and control method for main network equipment status, based on Figure 1 The shown sequence is to construct a unidirectional ring link from the main network device to the edge device and then to the front-end device for operation.

[0054] The main network devices referred to in the unidirectional ring link of this embodiment typically include key equipment such as transformers and circuit breakers, which are responsible for collecting operating parameters (such as voltage, current, temperature, etc.) and transmitting them to edge devices after encryption using a temporary key. Edge devices are deployed in the production control area and have a heterogeneous computing architecture (such as x86 servers, ARM embedded devices, and ASIC chips). They are responsible for decrypting main network device data, performing real-time processing (such as anomaly identification algorithms), and reporting computing power information, communication delays, and processing results to the front-end devices. The front-end devices serve as the control center and are located in the information management area. They receive edge device data through a unidirectional physically isolated channel.

[0055] like Figure 2 As shown, the comprehensive early warning and control method for the main network device status of this embodiment includes the following steps:

[0056] The front-end device obtains the temporary key from the edge device, the processing results of the main network device operating parameters, and the gravity calculation factor;

[0057] Calculate the data gravity of different edge devices to each main network device based on the gravity calculation factor;

[0058] Determine the optimal paired edge device for the main network device based on data gravity, and send the temporary key of the optimal paired edge device to the main network device to establish a temporary one-way encrypted channel from the main network device to the edge device;

[0059] If the processing result of the main network device operating parameters contains abnormal information, at least one suboptimal paired edge device corresponding to the main network device is determined, and the temporary key of the suboptimal paired edge device is sent to the main network device, and the abnormal information is displayed on the front end at the same time.

[0060] The temporary key is generated by the edge device and used to encrypt data transmission between the main network device and the main network device. The key is valid for T (e.g., a number of minutes). The processing result refers to the edge device's analysis of the main network device's operating parameters, typically including normal / abnormal status and the specific abnormality type (e.g., overload, temperature exceeding the specified limit).

[0061] As a possible implementation, the gravity calculation factor is used to calculate data gravity, including the computing power information of the edge device and the communication delay with the main network device.

[0062] Computing power information typically includes hardware architecture (e.g., x86-6-core CPU, ARM-4-core NPU), raw computing power parameters (e.g., CPU clock speed 2.4GHz, NPU floating-point computing power 12TOPS), and current computing power utilization (e.g., 60%). Communication latency refers to the transmission delay between edge devices and main network devices (typically measured in milliseconds).

[0063] In one embodiment, calculating the data gravity of different edge devices to each main network device according to the gravity calculation factor includes:

[0064] Encapsulate the computing power resources of different architectures in the computing power information into computing power values in standardized units;

[0065] The data gravity of different edge devices to each main network device is calculated based on the edge device computing power value and the communication delay between the main network device and the edge device.

[0066] For example, computing power standardization is required for heterogeneous architectures that may exist in edge devices:

[0067] For example, for the x86 architecture: M = number of CPU cores × main frequency × (1 - occupancy), e.g., 6 cores × 2.4GHz × 0.4 = 5.76 (standardized units). For the ARM architecture: M = NPU floating-point computing power × (1 - occupancy) ÷ 10TOPS, e.g., 12TOPS × 0.4 ÷ 10 = 0.48 (standardized units). For the ASIC architecture: M = fixed computing power × (1 - occupancy), e.g., if the dedicated chip has a fixed computing power of 100 and a occupancy of 30%, M = 70.

[0068] It is understandable that the standardized units here can be expressed in other ways or calculated in other ways. It is only necessary to ensure that the unit processing capabilities are as consistent as possible under different architectures.

[0069] In this embodiment, the calculation principle of data gravity is that the higher the computing power value, the more attractive it is, and the lower the communication delay, the more attractive it is.

[0070] In one embodiment, the step of calculating the data gravity of different edge devices to each main network device based on the edge device computing power value and the communication delay between the main network device and the edge device includes:

[0071] Determine the gravity calculation formula:

[0072] ;

[0073] Among them, F is the data gravity, G is the gravity constant, M is the available computing power value of the edge device, r is the communication delay between the edge device and the main network device, and m is the data volume of the main network device. G and m do not affect the optimal sorting and are simplified to the constant 1.

[0074] In other words, the simplified gravity calculation formula can be:

[0075] ;

[0076] This embodiment draws inspiration from the law of universal gravitation and analogizes the transfer of operating parameters to the movement of matter. The higher the available computing power and the lower the communication latency of an edge device, the more attractive it is to the operating parameters. Ultimately, the operating parameters of the main network device will be transferred to the edge device with the highest attraction. Furthermore, since the gravitational constant and the amount of data on the main network device do not affect the calculation results for the same main network device, they are all set to 1 to reduce the computational effort.

[0077] In one embodiment, determining the optimal paired edge device for the primary network device based on data gravity includes:

[0078] The data gravity of different edge devices to the same main network device is sorted in reverse order, and the one ranked first is the optimal paired edge device for the main network device.

[0079] In one embodiment, determining at least one suboptimal paired edge device corresponding to the main network device includes: selecting the first N edge devices except the optimal paired edge device as suboptimal pairs according to the reverse order of the data gravity, where N≥1.

[0080] Understandably, when the processing results returned by an edge device contain abnormal information (e.g., transformer temperature > 90°C), the front-end device triggers a suboptimal pairing mechanism. For example, it selects the top N = 2 edge devices (including the optimal one) based on data gravity. It then sends the temporary keys (e.g., K2 and K1) of the selected edge devices to the main network device, ensuring that subsequent data is transmitted simultaneously and encrypted to multiple edge devices. The front-end interface also displays abnormal information in real time, including the device name, abnormality type, occurrence time, and a list of currently paired edge devices.

[0081] In one embodiment, the pairing period between the edge device and the main network device is determined based on the validity period of the temporary key. This prevents redundant matches and ensures encryption validity. For example, the pairing calculation can be started at a time corresponding to 0.1 to 0.2 cycles before the expiration of each temporary key.

[0082] In this embodiment, relying on the unidirectional ring link, the front-end device receives various information from the edge device and sends relevant instructions to the main network device, thereby building a closed control loop and ensuring the absolute security of the main network information. At the same time, a unique data gravity mechanism is used to determine the pairing relationship between the main network device and the edge device, realizing the dynamic allocation of hardware resources of the edge device, and finally establishing a one-way encrypted channel from the main network device to the edge device through a temporary key, realizing the secure transmission and processing of data under the premise of meeting the physical isolation requirements of the power system (prohibiting two-way real-time interaction).

[0083] This embodiment also provides another method for comprehensive early warning and control of the main network device status, which operates based on the sequence of building a unidirectional ring link from the main network device to the edge device and then to the front-end device. Figure 3 As shown, the following steps are included:

[0084] The edge device receives the encrypted operating parameters sent by the main network device;

[0085] Use its own temporary key to decrypt the operating parameters sent by the main network device. If the decryption is successful, it will be parsed based on the preset processing program to obtain the processing results;

[0086] Send its own temporary key, the processing results of the main network device operating parameters and the gravity calculation factor to the front-end device.

[0087] In one embodiment, a symmetric encryption method is adopted. The edge device j receives the encrypted data sent by the main network device i (such as the format: [encryption parameter] + [target edge device identifier]), and uses its own temporary key Kj to try to decrypt: if the decryption is successful, the operating parameters (such as voltage 10kV, current 500A) are parsed; if the decryption fails (such as the key does not match), the data is discarded and the log is recorded.

[0088] In one embodiment, the edge device executes an anomaly identification algorithm (such as a relatively mature threshold judgment, a machine learning model, etc.), and outputs the processing results (normal / abnormal) and detailed information (such as the exception code E001: overload).

[0089] In addition, this embodiment also provides another method for comprehensive early warning and control of the main network device status, which operates based on a unidirectional ring link constructed in the order from the main network device to the edge device and then to the front-end device, such as Figure 4 As shown, the following steps are included:

[0090] The main network device receives the temporary key sent by the front-end device and establishes a temporary one-way encrypted channel from the main network device to the edge device;

[0091] Obtain operating parameters, encrypt them with a temporary key, and send them to the edge device;

[0092] If the temporary key is not unique, it will be periodically encrypted using different temporary keys and sent to the corresponding edge device.

[0093] In one implementation, main network device i receives a temporary key list (e.g., [K2, K1]) from a front-end device and establishes a one-way encrypted channel based on the target edge device's identifier. Each channel corresponds to a unique edge device, allowing data to flow only from the main network device to the edge device. This isolation can mitigate security issues.

[0094] In one embodiment, the main network device periodically collects (for example, with a period of 50ms) operating parameters (such as temperature and vibration signals). If it is a single-key scenario, all data is directly encrypted using the key of the optimal edge device and sent to the optimal edge device.

[0095] For example, if it is a multi-key scenario, the first cycle uses K2 encryption to send to the suboptimal edge device, and the second cycle uses K1 encryption to send to the optimal edge device, and the cycle repeats.

[0096] Therefore, this embodiment at least provides the following new technical ideas for industry development:

[0097] This embodiment achieves dynamic optimal pairing through local processing on edge devices (avoiding complex cloud-based encryption processes), a data gravity model, and standardized computing power packaging (unified quantization across heterogeneous architectures). Front-end devices calculate gravity based on real-time computing power and latency, prioritizing the allocation of main network devices to edge devices with high computing power and low latency, shortening data transmission and processing paths. This achieves dynamic allocation of edge computing power driven by data gravity, breaking through the latency bottleneck inherent in physical isolation.

[0098] This implementation provides architecture-level security protection through a unidirectional ring link (main network → edge → front-end, with reverse transmission prohibited), a temporary key mechanism (generated at the edge → transferred at the front-end → used on the main network), and periodic key updates. This eliminates attack paths at the physical layer (meeting the isolation requirements for large production control areas in power systems) while also using dynamic keys to mitigate the risk of fixed key leakage (a major security vulnerability in traditional solutions). This creates a trusted communication closed loop under physical isolation.

[0099] This embodiment implements transparent computing power management through computing power hardware architecture identification (x86 / ARM / ASIC), computing power conversion formulas, and real-time occupancy calibration. Heterogeneous parameters such as CPU core count and GPU floating-point computing power are mapped into a unified standardized unit (e.g., "computing power value"), allowing front-end devices to compare edge device performance across architectures. This standardizes the packaging of heterogeneous computing power, supporting unified scheduling and load balancing across architectures.

[0100] This embodiment achieves fault tolerance and rapid response through a suboptimal pairing mechanism (N ≥ 1), multi-key cyclic encryption, and front-end abnormality display and linkage. Normal scenarios rely on the optimal edge device for processing, while abnormal scenarios trigger suboptimal device redundancy, providing a dual-security "active / standby + load sharing" solution. This multi-dimensional redundancy design ensures stable control in abnormal scenarios.

[0101] Compared with traditional solutions that are either limited by insufficient edge computing power (slow processing) or cloud transmission latency (complex encryption), this embodiment achieves the triple goals of "safety, real-time, and reliability" in a physically isolated environment through a combination of innovative edge computing power dynamic scheduling, local real-time processing, and one-way secure transmission, filling the technical gap in early warning and control of power monitoring systems.

[0102] This embodiment also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, it implements the steps of any of the above-mentioned main network device status comprehensive early warning and control methods.

[0103] This embodiment also provides a storage medium, which stores computer-executable instructions. When the computer-executable instructions are loaded and executed by a processor, the steps of the above-mentioned main network device status comprehensive early warning and control method are implemented.

[0104] In summary, this embodiment forms an interlocking technical synergy through the technical chain of "architecture design → computing power scheduling → security mechanism → dynamic control". Its substantial effects include:

[0105] The one-way link design eliminates the reverse transmission of data in principle, and cuts off the external attack path to the main network device from the architectural perspective; a temporary key is used to establish a one-way encrypted channel from the main network device to the edge device. The temporary key is generated by the edge device and transferred and issued through the front-end device to avoid the risk of fixed key leakage. The key validity period is bound to the pairing period to achieve dynamic security authentication of the communication link.

[0106] For the diverse hardware architectures of edge devices (such as x86, ARM, and ASIC), the original hardware parameters (such as the number of CPU cores and GPU floating-point computing power) are converted into comparable computing power values through standardized computing power packaging. Unique data gravity calculations are performed in combination with communication delays to support unified management and scheduling of different types of edge devices by front-end devices.

[0107] On this basis, since the computing power resources of edge devices can be fully scheduled and utilized, the complex process of transmitting data to the cloud through the network gateway in traditional solutions can be avoided, and the data processing delay can be compressed to the local edge node. This not only solves the computing power bottleneck of edge devices, but also avoids the complex process required for cloud computing, thereby greatly compressing data delay to meet the early warning needs of main network equipment.

[0108] Through the description of the above implementation methods, technical personnel in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional modules as needed, that is, the internal structure of the specific device can be divided into different functional modules to complete all or part of the functions described above.

[0109] In the embodiments provided in this application, it should be understood that the disclosed structures and methods can be implemented in other ways. For example, the embodiments of the structure described above are merely illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another structure, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, structure or unit, which can be electrical, mechanical or other forms.

[0110] Units described as separate components may or may not be physically separate, and components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0111] In addition, the functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist physically separately, 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 software functional units.

[0112] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to execute all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program code.

[0113] The above content is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A comprehensive early warning and control method for main network equipment status, characterized in that: The method operates by constructing a unidirectional ring link based on the sequence from the main network device to the edge device and then to the front-end device, and includes the following steps: The front-end device obtains the temporary key from the edge device, the processing results of the main network device operating parameters, and the gravity calculation factor; Calculate the data gravity of different edge devices to each main network device based on the gravity calculation factor; Determine the optimal paired edge device for the main network device based on data gravity, and send the temporary key of the optimal paired edge device to the main network device to establish a temporary one-way encrypted channel from the main network device to the edge device; If the processing result of the operating parameters of the main network device contains abnormal information, at least one suboptimal paired edge device corresponding to the main network device is determined, and the temporary key of the suboptimal paired edge device is sent to the main network device, and the front-end display of the abnormal information is performed at the same time; The gravity calculation factor is used to calculate data gravity, including the computing power information of the edge device and the communication delay with the main network device; Calculating the data gravity of different edge devices to each main network device based on the gravity calculation factor includes: Encapsulate the computing power resources of different architectures in the computing power information into computing power values in standardized units; Calculate the data gravity of different edge devices to each main network device based on the edge device computing power value and the communication delay between the main network device and the edge device; The encapsulation of computing resources of different architectures in the computing power information into computing power values in standardized units includes: Determine the computing power hardware architecture of the edge device, define corresponding computing power conversion formulas for different architectures, map the original hardware parameters under the computing power hardware architecture of the edge device into a unified standardized unit, calculate and obtain the computing power value in the standardized unit, and determine the available computing power value based on the actual occupancy rate; The calculation of the data gravity of different edge devices to each main network device based on the edge device computing power value and the communication delay between the main network device and the edge device includes: Determine the gravity calculation formula: ； Among them, F is the data gravity, G is the gravity constant, M is the available computing power value of the edge device, r is the communication delay between the edge device and the main network device, and m is the data volume of the main network device. G and m do not affect the optimal sorting and are simplified to the constant 1.

2. The method for comprehensive early warning control of main network equipment status according to claim 1 is characterized in that: The step of determining the optimal paired edge device for the main network device based on data gravity includes: The data gravity of different edge devices to the same main network device is sorted in reverse order, and the one ranked first is the optimal paired edge device for the main network device.

3. The method for comprehensive early warning control of main network equipment status according to claim 1 is characterized in that: The determining of at least one suboptimal paired edge device corresponding to the primary network device includes: selecting first N edge devices except the optimal paired edge device as suboptimal pairs according to the reverse order of the data gravity, where N≥1.

4. The method for comprehensive early warning control of main network equipment status according to claim 1 is characterized in that: The pairing period between the edge device and the main network device is determined by the validity period of the temporary key.

5. A comprehensive early warning control method for main network equipment status, characterized in that: The method for comprehensive early warning and control of main network equipment status according to any one of claims 1 to 4 is operated, comprising the following steps: The edge device receives the encrypted operating parameters sent by the main network device; Use its own temporary key to decrypt the operating parameters sent by the main network device. If the decryption is successful, it will be parsed based on the preset processing program to obtain the processing results; Send its own temporary key, the processing results of the main network device operating parameters and the gravity calculation factor to the front-end device.

6. A comprehensive early warning control method for main network equipment status, characterized in that: The method for comprehensive early warning and control of main network equipment status according to any one of claims 1 to 4 is operated, comprising the following steps: The main network device receives the temporary key sent by the front-end device and establishes a temporary one-way encrypted channel from the main network device to the edge device; Obtain operating parameters, encrypt them with a temporary key, and send them to the edge device; If the temporary key is not unique, it will be periodically encrypted using different temporary keys and sent to the corresponding edge device.

7. An electronic device, characterized in that: It includes a memory and a processor, wherein a computer program is stored in the memory, and when the processor calls the computer program in the memory, the steps of the main network equipment status comprehensive early warning control method as described in any one of claims 1 to 4 are implemented.

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