Risk hidden danger assessment method and system for communication equipment

Abstract

The invention provides a risk hidden danger assessment method and system for communication equipment, and belongs to the technical field of hidden danger assessment, and the method specifically comprises the steps: determining fault hidden danger coefficients of different power equipment and fault hidden danger equipment in the power equipment according to the historical fault data of the different power equipment in a target power distribution region, according to the method, the association conditions of different communication devices and different fault hidden danger devices in monitoring data of different fault types are determined, and the fault hidden danger coefficients of different fault hidden danger devices are combined to determine the risk hidden danger assessment processing method of the communication devices, so that the pertinence of the hidden danger assessment processing of the communication devices is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of hidden danger assessment, and in particular, relates to a risk hidden danger assessment method and system for information and communication equipment. Background Art

[0002] With the increasing application of information and communication equipment in power systems, the identification and handling of potential fault hazards of information and communication equipment has become increasingly difficult. Specifically, in the invention patent application CN117422405A "A power system information processing system based on power big data", early warning signals are sent in a timely manner when equipment hazards continue to increase, reducing the difficulty and cost of hazard detection, helping to more accurately identify potential problems and reduce excessive false alarms or missed alarms.

[0003] However, through analysis, it is not difficult to find that with the increasing number of information and communication equipment, if a fixed risk assessment and processing method is used for different information and communication equipment, the risk assessment and processing efficiency of information and communication equipment will be difficult to meet the requirements. This makes how to generate differentiated risk assessment and processing strategies a technical problem that needs to be solved urgently.

[0004] In response to the above technical problems, the present application specifically provides a method and system for risk assessment of information and communication equipment. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, the present application provides a risk hidden danger assessment method for information and communication equipment, which specifically includes: S1 determines the identification deviation of historical faults of the target distribution area on different dates based on the identification data of historical faults of the power equipment in the target distribution area, and determines the identification deviation date in the date based on the identification deviation; S2 obtains the distribution data of the identification deviation date, and proceeds to the next step when it is determined that the reliability of fault identification of the power equipment in the target power distribution area meets the requirements based on the distribution data and the identification deviation conditions of different identification deviation dates; S3 determines the potential fault coefficients of different power equipment and the potential fault devices among the power equipment according to the historical fault data of different power equipment in the target power distribution area; S4 determines the association between different information and communication equipment and different potential fault equipment in monitoring data of different fault types, and determines the risk potential fault assessment and processing method of the information and communication equipment in combination with the potential fault fault coefficients of different potential fault equipment.

[0006] The beneficial effects of the present invention are: By identifying the distribution data of deviation dates and the identification deviation situations of different identification deviation dates, it is determined whether the fault identification reliability of the power equipment in the target distribution area meets the requirements. This not only takes into account the proportion of the number of identification deviation dates of the power equipment in the target distribution area, but also takes into account the identification situations of the power equipment on different identification deviation dates. This enables the reliability of fault identification processing of power equipment to be evaluated from multiple angles, and also lays the foundation for generating differentiated risk assessment and processing methods for information and communication equipment based on the reliability of fault identification processing.

[0007] Based on the correlation between the monitoring data of different information and communication equipment and different fault potential equipment in different fault types, and the fault potential coefficients of different fault potential equipment, a method for risk hazard assessment and processing of information and communication equipment is determined, which realizes the impact of the correlation between information and communication equipment and different fault potential equipment on the reliability of monitoring and processing of fault potential equipment when the information and communication equipment fails, thereby ensuring the reliability of risk hazard assessment and processing of information and communication equipment with higher monitoring importance, and also improves the efficiency of risk hazard assessment and processing of information and communication equipment.

[0008] A further technical solution is that the identification data of the historical faults includes monitoring data of the communication equipment at different historical fault times and the sending status of the monitoring data.

[0009] A further technical solution is that the identification deviation of the historical faults includes abnormal conditions and transmission delay conditions of the monitoring data of the communication equipment at different historical fault times.

[0010] A further technical solution is that the method for determining the identification deviation date in the date is: Based on the identification deviations on different dates, determine the abnormalities and transmission delays of the monitoring data of the ICT equipment at different historical failure times on the dates; Based on the abnormal situation and the sending delay situation, determining the number of identification deviations in the number of historical failures; Whether the date is an identification deviation date is determined according to the number of identification deviations in the date.

[0011] A further technical solution is that the number of identification deviations is the number of historical faults in which the monitoring data is abnormal or the sending delay is greater than a preset delay amount.

[0012] A further technical solution is that the method for risk assessment and processing of the information and communication equipment is: Based on the correlation between the communication device and the monitoring data of different fault types of failure devices, the number of fault types that the communication device and different fault potential devices are determined; Determine associated potential failure devices among the potential failure devices by using the number of associated failure types; Based on the sum of the fault hazard coefficients of the associated hazard equipment, the correlation hazard coefficient of the communication device is determined, and the method of determining the risk hazard evaluation and processing of the communication device is used to determine the risk hazard evaluation and processing of the communication device.

[0013] A further technical solution is that the associated fault type is determined based on the ratio of the associated number of monitoring data of the fault type to the number of monitoring data of the fault type.

[0014] A further technical solution is that the associated hidden danger device is a hidden danger device having a number of associated fault types greater than a preset number of types.

[0015] A further technical solution is to use the associated hidden danger coefficient to determine the risk hidden danger assessment method of the information and communication equipment, which specifically includes: When the correlation hazard coefficient is greater than the preset correlation hazard coefficient threshold, the communication device is determined to be the target of risk hazard assessment and processing, and the risk hazard assessment and processing of the communication device is performed using the preset strategy; When the associated hidden danger coefficient is not greater than the preset associated hidden danger coefficient threshold, determine whether the associated hidden danger coefficient is less than the preset associated hidden danger coefficient threshold. If so, do not perform risk hidden danger assessment processing on the information and communication equipment. If not, then when and only when the information and communication equipment fails, based on all the communication data of the information and communication equipment, use the preset risk hidden danger identification model to determine the result of the risk hidden danger assessment processing of the information and communication equipment.

[0016] On the other hand, the present invention provides a computer system, including a communication-connected memory and a processor, and a computer program stored on the memory and capable of running on the processor, and the processor performs the above-mentioned risk assessment method for an information communication device when running the computer program.

[0017] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0018] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0020] Figure 1 It is a flow chart of a risk hazard assessment method for information and communication equipment; Figure 2 is a flow chart of a method for determining an identification deviation date in a date; Figure 3 It is a flow chart of a method for determining a potential fault coefficient of electric power equipment; Figure 4 It is a flow chart of the method for risk assessment and treatment of information and communication equipment. DETAILED DESCRIPTION

[0021] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0022] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0023] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, a risk hidden danger assessment method for information and communication equipment is provided, which specifically includes: S1 determines the identification deviation of historical faults of the target distribution area on different dates based on the identification data of historical faults of the power equipment in the target distribution area, and determines the identification deviation date in the date based on the identification deviation; S2 obtains the distribution data of the identification deviation date, and proceeds to the next step when it is determined that the reliability of fault identification of the power equipment in the target power distribution area meets the requirements based on the distribution data and the identification deviation conditions of different identification deviation dates; S3 determines the potential fault coefficients of different power equipment and the potential fault devices among the power equipment according to the historical fault data of different power equipment in the target power distribution area; S4 determines the association between different information and communication equipment and different potential fault equipment in monitoring data of different fault types, and determines the risk potential fault assessment and processing method of the information and communication equipment in combination with the potential fault fault coefficients of different potential fault equipment.

[0024] Furthermore, the identification data of the historical faults includes monitoring data of the communication equipment at different historical fault times and the sending status of the monitoring data.

[0025] Specifically, the identification deviation of the historical faults includes abnormal conditions and transmission delay conditions of the monitoring data of the communication equipment at different historical fault times.

[0026] It should be noted that if Figure 2 As shown, the method for determining the identification deviation date in the date is: Based on the identification deviations on different dates, determine the abnormalities and transmission delays of the monitoring data of the ICT equipment at different historical failure times on the dates; Based on the abnormal situation and the sending delay situation, determining the number of identification deviations in the number of historical failures; Whether the date is an identification deviation date is determined according to the number of identification deviations in the date.

[0027] It can be understood that the number of identification deviations is the number of historical failures in which the monitoring data is abnormal or the sending delay is greater than a preset delay amount.

[0028] It should also be noted that when the number of identification deviations in the date does not meet the requirement, the date is determined to be the identification deviation date.

[0029] Optionally, the method for determining the identification deviation date in the date is: Determine the abnormal conditions and transmission delay conditions of the monitoring data of the information and communication equipment in different historical fault times on the date based on the identification deviation conditions on different dates. When it is determined based on the abnormal conditions and transmission delay conditions that there is no identification deviation number in the historical fault times, then determine that the date does not belong to the identification deviation date; When there are identification deviation times in the historical fault times: When the number of identification deviations in the date does not meet the requirement, it is determined that the date is an identification deviation date; When the number of identification deviations on the stated date meets the requirement: Based on the power equipment corresponding to different identification deviation times, when it is determined that the number of power equipment corresponding to different identification deviation times is greater than the preset number of power equipment, it is determined that the date belongs to the identification deviation date; When the number of power devices corresponding to different identification deviation times is not greater than the preset number of power devices: Based on the information and communication equipment corresponding to different identification deviation times, the deviation conditions of the information and communication equipment corresponding to different identification deviation times are determined; based on the deviation conditions of the information and communication equipment, the deviation coefficients of the information and communication equipment for different identification deviation times are determined; when the deviation coefficients of the information and communication equipment between different identification deviation times are all within the preset equipment deviation coefficient range, it is determined that the date does not belong to the identification deviation date; When there are identification deviations when the communication equipment deviation coefficient is not within the preset equipment deviation coefficient range: Determine the ICT equipment deviation amount for different identification deviation times based on the ICT equipment deviation coefficient with other identification deviation times, and when the ICT equipment deviation amount does not meet the requirement that the identification deviation times are within the preset deviation times interval, determine that the date is an identification deviation date; When the deviation of the ICT equipment does not meet the required identification deviation times and is not within the preset deviation times range: The fault identification deviation coefficient of the power equipment on the date is determined based on the abnormal conditions and sending delays of the monitoring data of the communication equipment in different identification deviation times and the deviation amounts of the communication equipment in different identification deviation times, and the fault identification deviation coefficient is used to determine whether the date is an identification deviation date.

[0030] Further, when the fault identification deviation coefficient of the date is greater than a preset deviation coefficient threshold, the date is determined to be an identification deviation date.

[0031] Specifically, the distribution data of the identification deviation dates include the number of identification deviation dates and the time intervals between different identification deviation dates.

[0032] It should be noted that determining whether the reliability of fault identification of the power equipment in the target power distribution area meets the requirements specifically includes: Determine the number of identification deviations in the number of historical failures on different identification deviation dates based on the identification deviation situations on different identification deviation dates, and determine the identification deviation coefficients on different identification deviation dates based on the number of identification deviations on different identification deviation dates; Based on the distribution data of the identified deviation dates, determining the quantity ratio of the distribution deviation dates, and using it as the quantity ratio of the deviation dates; Based on the proportion of the deviation dates and the identification deviation coefficients of different identification deviation dates, the identification deviation amount of the power equipment in the target distribution area is determined, and the identification deviation amount is used to determine whether the fault identification reliability of the power equipment in the target distribution area meets the requirements.

[0033] Furthermore, the identification deviation coefficient of the identification deviation date is determined according to the product of the number of identification deviations on the identification deviation date and a preset proportional factor.

[0034] It can be understood that the identification deviation amount of the electric power equipment in the target power distribution area is determined according to the product of the ratio of the number of deviation dates and the average value of the identification deviation coefficients of different identification deviation dates.

[0035] Specifically, when the identification deviation is greater than a preset deviation threshold, it is determined that the fault identification reliability of the electric power equipment in the target power distribution area does not meet the requirement.

[0036] Furthermore, when the reliability of fault identification of the electric power equipment in the target power distribution area does not meet the requirement, a risk assessment process is performed on all the electric power equipment in the target power distribution area.

[0037] It can also be understood that determining that the reliability of fault identification of the electric power equipment in the target power distribution area meets the requirements specifically includes: Obtaining the number ratio of the identification deviation dates in the target power distribution area, and when the number ratio of the identification deviation dates in the target power distribution area is greater than the number ratio of the preset deviation dates, determining that the reliability of fault identification of the power equipment in the target power distribution area does not meet the requirements; When the proportion of the number of identified deviation dates in the target power distribution area is not greater than the proportion of the number of preset deviation dates: Determine the number of identification deviations for different identification deviation dates based on the identification deviation conditions of different identification deviation dates in the target power distribution area, and when the sum of the number of identification deviations for different identification deviation dates does not meet the requirements, determine that the fault identification reliability of the power equipment in the target power distribution area does not meet the requirements; When the sum of the number of identification deviations on different identification deviation dates meets the requirement: Based on the number of identification deviations of different identification deviation dates, determining the screening deviation date in the identification deviation date, when the number of the screening deviation dates does not meet the requirement, determining that the fault identification reliability of the electric power equipment in the target power distribution area does not meet the requirement; When the number of screening deviation dates meets the requirement: Based on the distribution data of the identification deviation dates in the target power distribution area, determine the number ratio of the identification deviation dates in different preset time periods in the target power distribution area, and determine the identification deviation weight values ​​in different preset time periods in combination with the number of identification deviations of different identification deviation dates; When the number of preset time periods of the identification deviation weight value within the preset deviation weight value interval does not meet the requirement, it is determined that the fault identification reliability of the electric power equipment in the target power distribution area does not meet the requirement; When the number of preset time periods within the preset deviation weight value range for the recognition deviation weight value meets the requirement: Based on the sum of the identification deviation weight values ​​in different unit time periods, the identification deviation amount of the power equipment in the target distribution area is determined, and the identification deviation amount is used to determine whether the fault identification reliability of the power equipment in the target distribution area meets the requirements.

[0038] Specifically, Figure 3 As shown, the method for determining the potential fault coefficient of the power equipment is: Based on the historical fault data of the electric power equipment, determining the number of historical faults of the electric power equipment under different fault types; Based on the historical fault times of different fault types and in combination with preset proportional factors, determine the historical fault potential risk factors of different fault types; The preset weight coefficient under the number of affected power users is determined based on the number of power users affected by different fault types when a fault occurs, and the fault potential risk coefficient of the power equipment is determined based on the sum of the preset weight coefficients of different fault types and the product of historical fault potential risk factors.

[0039] Furthermore, the value range of the potential fault coefficient of the electric equipment is between 0 and 1, wherein when the potential fault coefficient of the electric equipment is greater than a preset potential fault coefficient threshold, the electric equipment is determined to be a potential fault device.

[0040] It should also be noted that the association between the monitoring data of different fault types of the communication equipment and the potential fault equipment is determined according to whether the monitoring data of different fault types of the potential fault equipment needs to be monitored or transmitted by the communication equipment.

[0041] In one possible embodiment, Figure 4 As shown, the method for risk assessment and processing of the information and communication equipment is: Determine the number of fault types associated with the information and communication equipment and different potential fault equipment based on the association of monitoring data of different fault types between the information and communication equipment and different potential fault equipment; Determine associated potential failure devices among the potential failure devices by using the number of associated failure types; Based on the sum of the fault potential risk coefficients of the associated potential risk devices, the associated potential risk coefficient of the information and communication equipment is determined, and the method for risk potential risk assessment and processing of the information and communication equipment is determined using the associated potential risk coefficient.

[0042] Furthermore, the associated fault type is determined according to a ratio of the associated number of monitoring data of the fault type to the number of monitoring data of the fault type.

[0043] It should be noted that the associated hidden danger device is a hidden danger device having a number of associated fault types greater than a preset number of types.

[0044] It can be understood that the method for determining the risk hidden danger assessment processing of the information and communication equipment by using the associated hidden danger coefficient specifically includes: When the associated hidden danger coefficient is greater than a preset associated hidden danger coefficient threshold, the information and communication equipment is determined to be a target for risk hidden danger assessment and processing, and a preset strategy is used to perform risk hidden danger assessment and processing on the information and communication equipment; When the associated hidden danger coefficient is not greater than the preset associated hidden danger coefficient threshold, determine whether the associated hidden danger coefficient is less than the preset associated hidden danger coefficient threshold. If so, do not perform risk hidden danger assessment processing on the information and communication equipment. If not, then when and only when the information and communication equipment fails, based on all the communication data of the information and communication equipment, use the preset risk hidden danger identification model to determine the result of the risk hidden danger assessment processing of the information and communication equipment.

[0045] Further, the risk assessment and processing of the information and communication equipment is performed using a preset strategy, specifically including: Based on all the communication data of the information and communication equipment, a preset risk and hidden danger identification model is used to determine the result of the risk and hidden danger assessment processing of the information and communication equipment.

[0046] Optionally, the method for assessing and processing the risk hidden dangers of the information and communication equipment is: S41 determines the association between the information and communication equipment and the data transmission channels of the monitoring data of different potential fault devices in different fault types based on the association between the information and communication equipment and the monitoring data of different potential fault devices, and determines the fault association coefficient between the information and communication equipment and the different potential fault devices based on the association; S42 determines the risk assessment requirement coefficient of the information and communication equipment based on the failure correlation coefficient and the failure potential coefficient of different failure potential equipment; S43 determines a method for risk assessment processing of the information and communication equipment based on the risk assessment requirement coefficient.

[0047] Furthermore, the method for determining the risk hidden danger assessment processing of the information and communication equipment based on the risk assessment requirement coefficient specifically includes: When the risk assessment requirement coefficient is within a preset requirement coefficient range, a preset strategy is used to perform risk hidden danger assessment processing on the information and communication equipment; When the risk assessment demand coefficient is not within the preset demand coefficient range, determine whether the risk assessment demand coefficient is less than the preset demand coefficient threshold. If so, do not perform risk assessment on the information and communication equipment. If not, perform risk assessment on the information and communication equipment based on the historical fault data of the information and communication equipment.

[0048] Example 2 On the other hand, the present invention provides a computer system, comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-mentioned risk hazard assessment method for information and communication equipment when running the computer program.

[0049] Optionally, the above step S41 includes the following contents: S411 determines the association between the information and communication equipment and the monitoring data of different potential fault devices in different fault types, and the data transmission channels of the monitoring data of different potential fault devices in different fault types. The association is used to determine the number of monitoring data associated with different potential fault devices. When the information and communication equipment has associated monitoring data with different potential fault devices, a preset strategy is used to perform risk assessment processing on the information and communication equipment. When the information and communication equipment has a potential fault device that does not have associated monitoring data, the process proceeds to step S412. S412: Based on the number of monitoring data associated with different potential fault devices, determine the total number of monitoring data associated with the information and communication device and the potential fault device; when the total number of associated monitoring data is greater than a preset monitoring number threshold, perform risk assessment processing on the information and communication device using a preset strategy; when the total number of associated monitoring data is not greater than the preset monitoring number threshold, proceed to step S413; S413: When the total number of the associated monitoring data is within the preset number range, proceed to the next step; when the total number of the associated monitoring data is not within the preset number range, no risk assessment process is performed on the ICT equipment; S414 determines the fault correlation coefficient between the information and communication equipment and different fault potential equipment by using the correlation situation. When the average value of the fault correlation coefficients with different fault potential equipment is greater than a preset fault correlation coefficient threshold, a preset strategy is used to perform risk assessment processing on the information and communication equipment. When the average value of the fault correlation coefficients with different fault potential equipment is not greater than the preset fault correlation coefficient threshold, the process proceeds to step S415. S415 obtains the proportion of the number of fault potential equipment whose fault correlation coefficient is greater than the preset fault correlation coefficient threshold. When the proportion is greater than the preset proportion of potential equipment, the risk potential equipment assessment of the communication equipment is performed using the preset strategy. When the proportion is not greater than the preset proportion of potential equipment, proceed to step S42.

[0050] Optionally, the above step S42 includes the following contents: S421 determines the fault weight coefficients of different fault potential equipments according to the fault potential coefficients of different fault potential equipments. When the proportion of the sum of the fault weight coefficients of the fault potential equipments whose fault correlation coefficients are greater than the preset fault correlation coefficient threshold is greater than the preset weight coefficient proportion, the risk potential assessment process of the communication equipment is performed using the preset strategy. When the proportion of the sum of the fault weight coefficients of the fault potential equipments whose fault correlation coefficients are greater than the preset fault correlation coefficient threshold is not greater than the preset weight coefficient proportion, the process proceeds to step S422. S422 determines the correlation coefficient evaluation amount of different potential fault devices based on the product of the fault correlation coefficient of different potential fault devices and the fault weight coefficient. When there is a potential fault device with a correlation coefficient evaluation amount greater than a preset coefficient evaluation amount threshold, the process proceeds to step S423. When there is no potential fault device with a correlation coefficient evaluation amount greater than the preset coefficient evaluation amount threshold, the process proceeds to step S424. S423: When the proportion of fault potential equipment with a correlation coefficient evaluation value greater than a preset coefficient evaluation value threshold value does not meet the requirement, a preset strategy is used to perform risk potential evaluation processing on the communication equipment; when the proportion of fault potential equipment with a correlation coefficient evaluation value greater than a preset coefficient evaluation value threshold value meets the requirement, the process proceeds to step S424; S424 determines the risk assessment requirement coefficient of the information and communication equipment based on the failure correlation coefficient and failure potential coefficient of different failure potential equipment, and proceeds to step S43.

[0051] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0052] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0053] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A risk assessment method for information and communication equipment, characterized in that: Specifically include: Based on the identification data of historical faults of the electric power equipment in the target power distribution area, determining the identification deviation of the historical faults in the target power distribution area on different dates, and determining the identification deviation date in the date based on the identification deviation; Obtain the distribution data of the identification deviation date, and proceed to the next step when determining that the reliability of fault identification of the power equipment in the target power distribution area meets the requirements based on the distribution data and the identification deviation conditions of different identification deviation dates; Determining potential fault coefficients of different power equipment and potential fault devices among the power equipment according to historical fault data of different power equipment in the target power distribution area; Determine the association between monitoring data of different information and communication equipment and different potential fault equipment in different fault types, and determine the risk potential fault assessment and processing method of the information and communication equipment in combination with the potential fault fault coefficients of different potential fault equipment.

2. The risk hidden danger assessment method for information and communication equipment according to claim 1, characterized in that: The identification data of the historical faults include monitoring data of the information and communication equipment at different historical fault times and the sending status of the monitoring data.

3. The risk assessment method for information and communication equipment according to claim 1, characterized in that: The identification deviation of the historical faults includes abnormal conditions and transmission delay conditions of the monitoring data of the communication equipment at different historical fault times.

4. The risk hidden danger assessment method for information and communication equipment according to claim 1, characterized in that: The method for determining the identification deviation date in the date is: Based on the identification deviations on different dates, determine the abnormalities and transmission delays of the monitoring data of the ICT equipment at different historical failure times on the dates; Based on the abnormal situation and the sending delay situation, determining the number of identification deviations in the number of historical failures; Whether the date is an identification deviation date is determined according to the number of identification deviations in the date.

5. The risk hidden danger assessment method for information and communication equipment according to claim 4, characterized in that: The number of identification deviations is the number of historical failures in which the monitoring data is abnormal or the sending delay is greater than a preset delay amount.

6. The risk hidden danger assessment method for information and communication equipment according to claim 1, characterized in that: The distribution data of the identification deviation dates include the number of the identification deviation dates and the time intervals between different identification deviation dates.

7. The risk hidden danger assessment method for information and communication equipment according to claim 1, characterized in that: When the reliability of fault identification of the electric power equipment in the target power distribution area does not meet the requirement, a risk assessment process is performed on all the electric power equipment in the target power distribution area.

8. The risk hidden danger assessment method for information and communication equipment according to claim 1, characterized in that: The method for risk assessment and processing of information and communication equipment is as follows: Determine the number of fault types associated with the information and communication equipment and different potential fault equipment based on the association of monitoring data of different fault types between the information and communication equipment and different potential fault equipment; Determine associated potential failure devices among the potential failure devices by using the number of associated failure types; Based on the sum of the fault potential risk coefficients of the associated potential risk devices, the associated potential risk coefficient of the information and communication equipment is determined, and the method for risk potential risk assessment and processing of the information and communication equipment is determined using the associated potential risk coefficient.

9. The risk hidden danger assessment method for information and communication equipment according to claim 8, characterized in that: The associated fault type is determined according to a ratio of the associated quantity of monitoring data of the fault type to the quantity of monitoring data of the fault type.

10. A computer system comprising: A memory and a processor in communication connection, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes a risk hazard assessment method for information and communication equipment as described in any one of claims 1-9 when running the computer program.

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