5G-fused power communication network multi-dimensional early warning method, model and storage medium

Abstract

The invention provides a 5G-fused power communication network multi-dimensional early warning method and model and a storage medium, and belongs to the technical field of network risk early warning. The method comprises the following steps: acquiring historical fault early warning information of the power communication network, processing and analyzing the historical fault early warning information in a 5G network environment, and acquiring risk influence factors of historical fault early warning; obtaining risk types according to the risk influence factors, and establishing a multi-dimensional risk evaluation system according to the risk types; performing quantitative assignment on the multi-dimensional risk evaluation system, and establishing a risk evaluation index model of the power communication network; acquiring operation data of the power communication network, and generating a risk evaluation value of the power communication network according to the operation data and the risk evaluation index model of the power communication network; and judging a risk level according to the risk evaluation value, and generating early warning information according to the risk level. According to the method, operation and maintenance personnel can be helped to carry out rapid operation and maintenance of the 5G-fused power communication network, so that the operation and maintenance efficiency of the 5G-fused power communication network is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of network risk early warning, and specifically relates to a multi-dimensional early warning method, model and storage medium for a 5G-integrated electric power communication network. Background Art

[0002] The power communication network refers to the communication network that provides information transmission and processing for the operation, control, management and protection of the power system. It is an important part of the power system, and also the nervous system and information system of the power system. The operation safety and stability of the power communication network directly affects the reliability and safety of the power system. Therefore, effective monitoring and early warning of the power communication network is an important measure to ensure the normal operation of the power system.

[0003] With the development of 5G networks, the power communication network has been upgraded based on the integration of 5G networks, and its ability to provide information transmission and processing for the power system has been significantly improved. However, correspondingly, the risks faced by the power communication network integrated with 5G have also increased significantly. At present, it can be seen from the Chinese invention patent application with application number "202410892869.5" that in the existing technology, the early warning information feedback of the power communication network is relatively vague, which is not conducive to the operation and maintenance personnel to obtain accurate risk information from the early warning information in time, thereby affecting the operation and maintenance efficiency of the power communication network integrated with 5G. Summary of the invention

[0004] The technical problem to be solved by the present invention is how to improve the operation and maintenance efficiency of the power communication network integrated with 5G. In view of the shortcomings of the existing technology, a multi-dimensional early warning method, model and storage medium for the power communication network integrated with 5G are provided.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] In a first aspect, the present invention provides a multi-dimensional early warning method for a power communication network integrating 5G, comprising the following steps:

[0007] Obtain historical fault warning information of the electric power communication network, process and analyze the historical fault warning information in a 5G network environment, and obtain risk influencing factors of the historical fault warning;

[0008] Obtain risk types based on the risk influencing factors, and establish a multi-dimensional risk assessment system based on the risk types;

[0009] Quantitatively assigning values ​​to the multi-dimensional risk assessment system and establishing a risk assessment index model for the power communication network;

[0010] Acquiring operation data of the electric power communication network, and generating a risk assessment value of the electric power communication network according to the operation data and a risk assessment index model of the electric power communication network;

[0011] The risk level is determined according to the risk evaluation value, and warning information is generated according to the risk level.

[0012] Compared with the prior art, the beneficial effects of the multi-dimensional early warning method of the power communication network integrated with 5G of the present invention include: first, obtaining historical fault warning information through historical faults that occurred in the past operation of the power communication network, and processing and analyzing the historical fault warning information in the 5G network environment, thereby analyzing the risk influencing factors that may cause network failures in the 5G network environment, and then, according to the different risks to which the risk influencing factors belong, the risk type covering all risk influencing factors can be obtained, and then the risks that cause network failures can be analyzed from different dimensions according to the risk type, thereby establishing a multi-dimensional risk assessment system to prepare for the subsequent realization of multi-dimensional early warning; on this basis, the multi-dimensional risk assessment system is quantified and assigned using mathematical quantification methods, and different risks correspond to different The operation data of the power communication network corresponds to different evaluation values. The numerical indicators corresponding to different risks can be summarized according to the evaluation values ​​to establish a risk assessment index model for the power communication network. Then, in the operation process of the power communication network integrated with 5G, the operation data of the power communication network is obtained, and the operation data is input into the risk assessment index model for comparison, so that the risk assessment index model can output the corresponding risk assessment value, and different risk assessment values ​​correspond to different risk levels. Finally, early warning information corresponding to different types of risks can be generated according to different risk levels, so that the operation and maintenance personnel can quickly and accurately obtain the current risk type of the power communication network integrated with 5G according to the early warning information, and carry out targeted rapid operation and maintenance of the power communication network integrated with 5G, thereby improving the operation and maintenance efficiency of the power communication network integrated with 5G.

[0013] Optionally, while generating the warning information, the following steps are also included:

[0014] Analyze the historical fault warning information by using an association rule mining algorithm to obtain association information between multiple types of historical fault warning information, and establish an association database based on the association information;

[0015] According to the output current warning information and the associated database, associated warning information related to the current warning information is obtained, and warning processing suggestions are generated according to the associated rules and the associated warning information.

[0016] Optionally, while generating the warning information, the following steps are also included:

[0017] Acquire abnormal operation data of the historical fault warning according to the historical fault warning information and the corresponding historical operation data of the electric power communication network;

[0018] According to the abnormal operation data and the normal operation data of the electric power communication network, a comparison is performed to obtain a change value of the operation data of the electric power communication network before and after the historical fault warning;

[0019] A fault prediction reference range is established according to the change value of the operating data, and when the operating data of the power communication network acquired in real time is within the fault prediction range, predicted fault warning prompt information is generated.

[0020] Optionally, after generating the predicted fault warning prompt information, the following steps are also included:

[0021] Acquire prediction fault warning processing suggestions according to the prediction fault warning prompt information and the associated database;

[0022] Determine whether the predicted fault warning processing suggestion is a preset self-start processing program. If so, run the self-start processing program; if not, generate fault maintenance prompt information.

[0023] Optionally, establishing a multi-dimensional risk assessment system according to the risk type specifically includes the following steps:

[0024] Setting network operation risk assessment standards for the electric power communication network;

[0025] Setting network operation and maintenance risk assessment standards for the electric power communication network;

[0026] The multi-dimensional risk assessment system is established according to the network operation risk assessment standard and the network operation and maintenance risk assessment standard.

[0027] Optionally, the step of quantitatively assigning values ​​to the multi-dimensional risk assessment system and establishing a risk assessment index model for the power communication network specifically comprises the following steps:

[0028] Setting a network risk assessment index of the power communication network according to the risk type in the multi-dimensional risk assessment system;

[0029] Quantifying and assigning values ​​to the network risk assessment indicators to determine weights of the network risk assessment indicators;

[0030] A risk assessment index model for the power communication network is established based on the weights.

[0031] Optionally, setting the network risk assessment index of the power communication network according to the risk type in the multi-dimensional risk assessment system specifically includes:

[0032] Constructing a partial order relationship diagram of the risk influencing factors, and setting the risk evaluation value according to the level of the risk influencing factors in the partial order relationship diagram;

[0033] A network risk assessment index of the electric power communication network is formed according to the risk assessment value, and a risk level is set according to the risk assessment value.

[0034] Optionally, the quantifying and assigning values ​​to the network risk assessment indicators to determine the weights of the network risk assessment indicators specifically includes:

[0035] Establishing a judgment matrix according to the hierarchical analysis method, quantifying and assigning values ​​to the network risk assessment indicators, and determining the subjective weights of the network risk assessment indicators by calculating the consistency ratio;

[0036] Determine the objective weight of the network risk assessment indicator according to the entropy weight method;

[0037] The weight of the network risk assessment index is determined according to the subjective weight and the objective weight.

[0038] In a second aspect, the present invention provides a multi-dimensional early warning system for a power communication network integrating 5G, comprising:

[0039] one or more processors;

[0040] A memory for storing one or more programs;

[0041] When the one or more programs are executed by the one or more processors, the one or more processors are caused to perform the following steps:

[0042] Obtain historical fault warning information of the electric power communication network, process and analyze the historical fault warning information in a 5G network environment, and obtain risk influencing factors of the historical fault warning;

[0043] Obtain risk types based on the risk influencing factors, and establish a multi-dimensional risk assessment system based on the risk types;

[0044] Quantitatively assigning values ​​to the multi-dimensional risk assessment system and establishing a risk assessment index model for the power communication network;

[0045] Acquiring operation data of the electric power communication network, and generating a risk assessment value of the electric power communication network according to the operation data and a risk assessment index model of the electric power communication network;

[0046] The risk level is determined according to the risk evaluation value, and warning information is generated according to the risk level.

[0047] Compared with the prior art, the beneficial effects of the multi-dimensional early warning system for the electric power communication network integrated with 5G of the present invention are the same as the beneficial effects of the multi-dimensional early warning method for the electric power communication network integrated with 5G as described above, and will not be repeated here.

[0048] In a third aspect, the present invention provides a storage medium having a computer program stored thereon. When the computer program is executed by a processor, the multi-dimensional early warning method for the electric power communication network integrated with 5G as described above is implemented.

[0049] Compared with the prior art, the beneficial effects of the storage medium of the present invention are the same as the beneficial effects of the multi-dimensional early warning method of the power communication network integrated with 5G as described above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0051] Figure 1 : A flowchart of a multi-dimensional early warning method for a power communication network integrating 5G in one embodiment of the present invention;

[0052] Figure 2 : A flowchart of a multi-dimensional early warning method for a power communication network integrating 5G in another embodiment of the present invention;

[0053] Figure 3 : A flowchart of a multi-dimensional early warning method for an electric power communication network integrating 5G in yet another embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to better understand the present invention, the content of the present invention is further clearly set forth in conjunction with the embodiments below, but the protection content of the present invention is not limited to the following embodiments. In the following description, a large number of specific details are provided in order to provide a more thorough understanding of the present invention. However, it is obvious to those skilled in the art that the present invention can be implemented without one or more of these details.

[0055] The term "including" and its variations used in this document are open inclusions, that is, "including but not limited to"; the term "based on" means "based at least in part on"; the term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one other embodiment"; the term "some embodiments" means "at least some embodiments"; the term "optionally" means "optional embodiments". The relevant definitions of other terms will be given in the following description. It should be noted that the concepts of "first", "second", etc. mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0056] It should be noted that the modifications of "one" and "plurality" mentioned in the present invention are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0057] In the first aspect, an embodiment of the present invention provides a multi-dimensional early warning method for an electric power communication network integrated with 5G, comprising the following steps: obtaining historical fault early warning information of the electric power communication network, processing and analyzing the historical fault early warning information in a 5G network environment, and obtaining risk influencing factors of the historical fault early warning; obtaining risk types according to risk influencing factors, and establishing a multi-dimensional risk assessment system according to risk types; quantifying and assigning values ​​to the multi-dimensional risk assessment system, and establishing a risk assessment index model for the electric power communication network; obtaining operating data of the electric power communication network, and generating a risk assessment value for the electric power communication network according to the operating data and the risk assessment index model of the electric power communication network; determining the risk level according to the risk assessment value, and generating early warning information according to the risk level.

[0058] In this embodiment, Figure 1 As shown in the figure, first, historical fault warning information is obtained through historical faults that occurred in the past operation of the power communication network, and the historical fault warning information is processed and analyzed in the 5G network environment, so as to analyze the risk influencing factors that may cause network failures in the 5G network environment. Then, the risk types covering all risk influencing factors can be obtained according to the different risks to which the risk influencing factors belong, and then the risks that cause network failures are analyzed from different dimensions according to the risk types, so as to establish a multi-dimensional risk assessment system to prepare for the subsequent realization of multi-dimensional warnings; on this basis, the multi-dimensional risk assessment system is quantified and assigned using mathematical quantification methods, and different risks correspond to different operation data of the power communication network, and then to different The evaluation values ​​can be used to summarize the numerical indicators corresponding to different risks according to the evaluation values, so as to establish a risk assessment index model for the power communication network. Then, during the operation of the power communication network integrated with 5G, the operation data of the power communication network is obtained, and the operation data is input into the risk assessment index model for comparison, so that the risk assessment index model can output the corresponding risk assessment value, and different risk assessment values ​​correspond to different risk levels. Finally, early warning information corresponding to different types of risks can be generated according to different risk levels, so that the operation and maintenance personnel can quickly and accurately obtain the current risk type of the power communication network integrated with 5G according to the early warning information, and carry out targeted rapid operation and maintenance of the power communication network integrated with 5G, thereby improving the operation and maintenance efficiency of the power communication network integrated with 5G.

[0059] Optionally, while generating the warning information, the following steps are also included: analyzing the historical fault warning information through an association rule mining algorithm, obtaining the association information between various types of historical fault warning information, and establishing an association database based on the association information; obtaining the associated warning information related to the current warning information based on the output current warning information and the associated database, and generating warning processing suggestions based on the association rules and the associated warning information.

[0060] Specifically, association rule mining is a data analysis method that is mainly used to discover the correlation or connection between item sets in large-scale data sets.

[0061] In this embodiment, in order to help operation and maintenance personnel to eliminate risks more quickly and accurately, Figure 2 As shown, the historical fault warning information is first analyzed according to the association rule mining algorithm to obtain the association information between the historical fault warning information caused by different types of risks, and then an association database is established based on these association information to facilitate the subsequent analysis of the generated warning information; on this basis, after the warning information is generated according to the risk level, the associated warning information of the existing management corresponding to the warning information can be obtained based on the association database, and then the historical processing measures corresponding to the management warning information can be obtained through the association rules, and then the warning processing suggestions for the current risks are generated through the historical processing measures for reference by the operation and maintenance personnel, ensuring that the operation personnel will not cause the generation of other associated network risks when handling the risks corresponding to the current warning information, thereby helping the operation and maintenance personnel to eliminate risks more quickly and accurately.

[0062] Optionally, while generating the warning information, the following steps are also included: based on the historical fault warning information and the corresponding historical operation data of the electric power communication network, abnormal operation data of the historical fault warning is obtained; based on the abnormal operation data and the normal operation data of the electric power communication network, the change value of the operation data of the electric power communication network before and after the historical fault warning is obtained is compared; based on the change value of the operation data, a fault prediction reference range is established according to the change value of the operation data, and when the real-time operation data of the electric power communication network is within the fault prediction range, a predicted fault warning prompt information is generated.

[0063] In this embodiment, in order to further improve the operation and maintenance efficiency of the power communication network integrated with 5G, Figure 3As shown, first find the historical operation data of the corresponding power communication network according to the historical fault warning information. Since the power communication network has the risk of causing faults under the historical operation data, the historical operation data is the abnormal operation data of the corresponding historical fault warning. Then, compare the abnormal operation data of the historical fault warning with the normal operation data of the power communication network, and obtain the change value of the operation data of the power communication network before and after the historical fault warning. Then, according to the change value of the operation data, the fault prediction reference range corresponding to the corresponding network risk is obtained. In this way, after obtaining the operation data of the power communication network in real time, the current operation data can be compared with the normal operation data. If the change value is within the fault prediction reference range, it means that the operation of the current 5G-integrated power communication network may have operation risks after a period of continuous operation. At this time, the predicted fault warning prompt information can be output to give priority to reminding the operation and maintenance personnel to perform pre-debugging, so as to solve the risk before it occurs, thereby reducing the possibility of risk of the 5G-integrated power communication network, and further improving the operation and maintenance efficiency of the 5G-integrated power communication network.

[0064] Optionally, after generating the predicted fault warning prompt information, the following steps are also included: obtaining the predicted fault warning processing suggestion based on the predicted fault warning prompt information and the associated database; determining whether the predicted fault warning processing suggestion is a preset self-start processing program, if so, running the self-start processing program, if not, generating fault maintenance prompt information.

[0065] In this embodiment, the failure of some power communication networks can be solved by simple methods such as restarting power equipment. Therefore, in order to further improve the operation and maintenance efficiency of the power communication network integrated with 5G, Figure 3 As shown, self-start processing programs such as restarting the device can be pre-set, and historical warning information covering the fault risk can be searched in the associated database according to the generated predicted fault warning prompt information, and then corresponding predicted fault warning processing suggestions are generated through the solution measures sampled by the historical warning information. At this time, it is determined whether the solution measures proposed in the predicted fault warning processing suggestion are the measures used by the preset self-start processing program. If so, the self-start processing program is automatically run, and the corresponding risk fault can be solved without the operation and maintenance personnel’s operation, further improving the operation and maintenance efficiency of the power communication network integrated with 5G. If not, fault repair prompt information is generated to assist the operation and maintenance personnel in performing operation and maintenance work.

[0066] Optionally, establishing a multidimensional risk assessment system according to risk types specifically includes the following steps: setting network operation risk assessment standards for the power communication network; setting network operation risk assessment standards for the power communication network; and establishing a multidimensional risk assessment system based on the network operation risk assessment standards and the network operation and maintenance risk assessment standards.

[0067] Specifically, the network operation risks of the power communication network include end-to-end carrying capacity, average network throughput, wireless resource utilization, service reliability and end-to-end delay; the network operation and maintenance risks of the power communication network include the impact scope of equipment failures, external network interference and network attacks.

[0068] In this embodiment, in order to ensure the accuracy of the multi-dimensional risk assessment system, the network operation risk assessment standard of the power communication network and the network operation risk assessment standard of the power communication network are set, and the risks are evaluated from two major dimensions. Under the two major dimensions, there are multiple small-dimensional risk assessments due to the different risk types. Then, an accurate multi-dimensional risk assessment system is established based on the network operation risk assessment standard and the network operation and maintenance risk assessment standard.

[0069] Optionally, the multi-dimensional risk assessment system is quantitatively assigned, and the risk assessment index model of the power communication network is established, which specifically includes the following steps: setting the network risk assessment index of the power communication network according to the risk type in the multi-dimensional risk assessment system; quantitatively assigning values ​​to the network risk assessment index, and determining the weight of the network risk assessment index; and establishing the risk assessment index model of the power communication network according to the weight.

[0070] In this embodiment, in order to ensure the stability of the risk assessment index model of the power communication network, when establishing the risk assessment index model of the power communication network, the network risk assessment index of the power communication network is first set according to the risk type in the multi-dimensional risk assessment system to ensure that different degrees and types of risks correspond to appropriate assessment indicators. On this basis, the network risk assessment index is quantified and assigned, and the weights of different network risk assessment indicators are determined according to the different degrees and types of risks. Finally, according to the weights, the risk assessment index model of the power communication network is established to ensure that the final risk level is accurate and reliable.

[0071] Optionally, setting network risk assessment indicators for the power communication network according to the risk types in the multi-dimensional risk assessment system specifically includes: constructing a partial order relationship diagram of risk influencing factors, and setting risk assessment values ​​according to the levels of the risk influencing factors in the partial order relationship diagram; forming network risk assessment indicators for the power communication network according to the risk assessment values, and setting risk levels according to the risk assessment values.

[0072] Specifically, a partial order relation is a mathematical concept, which is usually used to describe a partial order relation between elements in a set. For example, a Hasse diagram is used to intuitively represent the partial order relation.

[0073] In this embodiment, in order to ensure the accuracy of the risk level, in the process of setting the network risk assessment index of the power communication network, a partial order relationship diagram of the risk influencing factors is first constructed, so that the risk assessment value can be set hierarchically in the partial order relationship diagram according to the risk influencing factors, ensuring that risks of different importance correspond to different risk assessment values, and finally, the network risk assessment index of the power communication network is formed according to the risk assessment value, ensuring the accuracy of the network risk assessment index, and then ensuring the accuracy of the risk level set according to the risk assessment value.

[0074] Optionally, the network risk assessment indicators are quantitatively assigned values, and the weights of the network risk assessment indicators are determined specifically including: establishing a judgment matrix according to the hierarchical analysis method, quantitatively assigning values ​​to the network risk assessment indicators, and determining the subjective weights of the network risk assessment indicators by calculating the consistency ratio; determining the objective weights of the network risk assessment indicators according to the entropy weight method; and determining the weights of the network risk assessment indicators according to the subjective weights and the objective weights.

[0075] Specifically, the entropy weight method is a method for determining weights based on the concept of entropy in information theory.

[0076] In this embodiment, in order to ensure the accuracy of the weight determination of the network risk assessment index, in the process of determining the weight of the network risk assessment index, a judgment matrix is ​​first established according to the hierarchical analysis method, the importance of each risk factor is compared, and the network risk assessment index is quantified and assigned, and then the subjective weight of the network risk assessment index is determined by calculating the consistency ratio, that is, when the consistency ratio is less than a specific value, the consistency test can be satisfied; at the same time, according to the entropy weight method, an original data matrix consisting of several evaluation indicators and several evaluation objects is set, and the objective weight of the network risk assessment index is determined from two aspects of positive indicators and reverse indicators; finally, the weight of the network risk assessment index is determined by the coordination of subjective weight and objective weight, so as to ensure the accuracy of the weight determination of the network risk assessment index.

[0077] In the second aspect, an embodiment of the present invention provides a multi-dimensional early warning system for an electric power communication network integrated with 5G, comprising: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by one or more processors, the one or more processors execute the following steps: obtaining historical fault early warning information of the electric power communication network, processing and analyzing the historical fault early warning information in a 5G network environment, and obtaining risk influencing factors of the historical fault early warning; obtaining risk types based on risk influencing factors, and establishing a multi-dimensional risk assessment system based on risk types; quantifying and assigning values ​​to the multi-dimensional risk assessment system, and establishing a risk assessment index model for the electric power communication network; obtaining operating data of the electric power communication network, and generating a risk assessment value for the electric power communication network based on the operating data and the risk assessment index model of the electric power communication network; determining the risk level based on the risk assessment value, and generating early warning information based on the risk level.

[0078] The technical effects of the multi-dimensional early warning system for the electric power communication network integrated with 5G in this embodiment are similar to the technical effects of the multi-dimensional early warning method for the electric power communication network integrated with 5G mentioned above, and will not be repeated here.

[0079] In a third aspect, an embodiment of the present invention provides a storage medium on which a computer program is stored, characterized in that when the computer program is executed by a processor, the above-mentioned multi-dimensional early warning method of the power communication network integrated with 5G is implemented.

[0080] The technical effect of the storage medium in this embodiment is similar to the technical effect of the above-mentioned multi-dimensional early warning method of the power communication network integrated with 5G, and will not be repeated here.

[0081] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A multi-dimensional early warning method for a power communication network integrating 5G, characterized in that: The following steps are involved: Obtain historical fault warning information of the electric power communication network, process and analyze the historical fault warning information in a 5G network environment, and obtain risk influencing factors of the historical fault warning; Obtain risk types based on the risk influencing factors, and establish a multi-dimensional risk assessment system based on the risk types; Quantitatively assigning values ​​to the multi-dimensional risk assessment system and establishing a risk assessment index model for the power communication network; Acquiring operation data of the electric power communication network, and generating a risk assessment value of the electric power communication network according to the operation data and a risk assessment index model of the electric power communication network; The risk level is determined according to the risk evaluation value, and warning information is generated according to the risk level.

2. The multi-dimensional early warning method for the electric power communication network integrated with 5G as claimed in claim 1 is characterized in that: While generating the warning information, the following steps are also included: Analyze the historical fault warning information by using an association rule mining algorithm to obtain association information between multiple types of historical fault warning information, and establish an association database based on the association information; According to the output current warning information and the associated database, associated warning information related to the current warning information is obtained, and warning processing suggestions are generated according to the associated rules and the associated warning information.

3. The multi-dimensional early warning method of the electric power communication network integrated with 5G as claimed in claim 2 is characterized in that: While generating the warning information, the following steps are also included: Acquire abnormal operation data of the historical fault warning according to the historical fault warning information and the corresponding historical operation data of the electric power communication network; According to the abnormal operation data and the normal operation data of the electric power communication network, a comparison is performed to obtain a change value of the operation data of the electric power communication network before and after the historical fault warning; A fault prediction reference range is established according to the change value of the operating data, and when the operating data of the power communication network acquired in real time is within the fault prediction range, predicted fault warning prompt information is generated.

4. The multi-dimensional early warning method of the electric power communication network integrated with 5G as claimed in claim 3 is characterized in that: After generating the predicted fault warning prompt information, the following steps are also included: Acquire prediction fault warning processing suggestions according to the prediction fault warning prompt information and the associated database; Determine whether the predicted fault warning processing suggestion is a preset self-start processing program. If so, run the self-start processing program; if not, generate fault maintenance prompt information.

5. The multi-dimensional early warning method for a power communication network integrated with 5G according to any one of claims 1 to 4, characterized in that: Establishing a multi-dimensional risk assessment system based on the risk types specifically includes the following steps: Setting network operation risk assessment standards for the electric power communication network; Setting network operation and maintenance risk assessment standards for the electric power communication network; The multi-dimensional risk assessment system is established according to the network operation risk assessment standard and the network operation and maintenance risk assessment standard.

6. The multi-dimensional early warning method for the electric power communication network integrated with 5G as claimed in claim 5 is characterized in that: The quantitative assignment of values ​​to the multi-dimensional risk assessment system and the establishment of the risk assessment index model for the power communication network specifically include the following steps: Setting a network risk assessment index of the power communication network according to the risk type in the multi-dimensional risk assessment system; Quantifying and assigning values ​​to the network risk assessment indicators to determine weights of the network risk assessment indicators; A risk assessment index model for the power communication network is established based on the weights.

7. The multi-dimensional early warning method of the electric power communication network integrated with 5G as claimed in claim 6 is characterized in that: The setting of the network risk assessment index of the power communication network according to the risk type in the multi-dimensional risk assessment system specifically includes: Constructing a partial order relationship diagram of the risk influencing factors, and setting the risk evaluation value according to the level of the risk influencing factors in the partial order relationship diagram; A network risk assessment index of the electric power communication network is formed according to the risk assessment value, and a risk level is set according to the risk assessment value.

8. The multi-dimensional early warning method of the electric power communication network integrated with 5G as claimed in claim 7 is characterized in that: The step of quantifying and assigning values ​​to the network risk assessment indicators and determining weights of the network risk assessment indicators specifically includes: Establishing a judgment matrix according to the hierarchical analysis method, quantifying and assigning values ​​to the network risk assessment indicators, and determining the subjective weights of the network risk assessment indicators by calculating the consistency ratio; Determine the objective weight of the network risk assessment indicator according to the entropy weight method; The weight of the network risk assessment index is determined according to the subjective weight and the objective weight.

9. A multi-dimensional early warning system for electric power communication network integrated with 5G, characterized in that: include: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors are caused to perform the following steps: Obtain historical fault warning information of the electric power communication network, process and analyze the historical fault warning information in a 5G network environment, and obtain risk influencing factors of the historical fault warning; Obtain risk types based on the risk influencing factors, and establish a multi-dimensional risk assessment system based on the risk types; Quantitatively assigning values ​​to the multi-dimensional risk assessment system and establishing a risk assessment index model for the power communication network; Acquiring operation data of the electric power communication network, and generating a risk assessment value of the electric power communication network according to the operation data and a risk assessment index model of the electric power communication network; The risk level is determined according to the risk evaluation value, and warning information is generated according to the risk level.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, a multi-dimensional early warning method for a power communication network integrated with 5G as described in any one of claims 1 to 8 is implemented.

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