CN-122022761-A - Monitoring equipment data management system and method applied to user interaction

CN122022761ACN 122022761 ACN122022761 ACN 122022761ACN-122022761-A

Abstract

The invention discloses a monitoring equipment data management system and a monitoring equipment data management method applied to user interaction, which relate to the technical field of equipment data management, wherein equipment names and types are marked on monitoring equipment, operation characteristics of the monitoring equipment are obtained, the operation characteristics are stored in a monitoring equipment operation characteristic database, fault types of the monitoring equipment are obtained, identification characteristics of the fault types are analyzed, secondary fault risk types are obtained in the fault types, a secondary fault risk type database is established, current operation characteristics of the monitoring equipment are obtained in real time, management personnel are marked with risks of the fault types, recommended maintenance personnel are selected according to the marked fault types if the fault types are not the secondary fault risk types, otherwise, the secondary fault risk type database is called, recommended maintenance personnel are comprehensively selected, and the database is updated in real time after fault maintenance is completed.

Inventors

LIU WENBIN
XING XIAOCAI
CHEN XIN

Assignees

扬州自在岛生态旅游投资发展有限公司

Dates

Publication Date: 20260512
Application Date: 20251225

Claims (9)

1. A monitoring equipment data management method applied to user interaction is characterized by comprising the following steps: s1, marking equipment names and types of monitoring equipment, acquiring operation characteristics of the monitoring equipment, and storing the operation characteristics into an operation characteristic database of the monitoring equipment; s2, aiming at the monitoring equipment, obtaining the fault type of the monitoring equipment, and analyzing the identification characteristic of the fault type; s3, calling data of historical faults of the monitoring equipment to analyze fault types, obtaining secondary fault risk types from the fault types, and establishing a secondary fault risk type database; s4, acquiring current operation characteristics of the monitoring equipment in real time, and marking risks of fault types for management staff; S5, when the risk of the fault type is marked, if the fault type is not the secondary fault risk type, selecting recommended maintenance personnel according to the marked fault type, otherwise, calling a secondary fault risk type database, and comprehensively selecting the recommended maintenance personnel; And S6, updating the database in real time after the fault maintenance is completed.
2. The method for managing the data of the monitoring equipment applied to the user interaction according to claim 1, wherein in the step S1, after being authorized, the monitoring equipment is marked with equipment names and types to obtain X-type monitoring equipment, and for the X-type monitoring equipment, x=1, 2..X, the operation data of the X-type monitoring equipment are obtained, the operation data of the X-type monitoring equipment are preprocessed and normalized, the operation characteristics of the monitoring equipment are obtained after being preprocessed and normalized, the operation characteristics of the monitoring equipment are time stamped and stored in a monitoring equipment operation characteristic database, and the equipment operation characteristic database is stored in a user interaction center.
3. A monitoring device data management method for user interaction according to claim 2, wherein: in step S2, for the x-th type of monitoring device, M fault types of the x-th type of monitoring device are obtained based on the history data, for the M-th fault type, a number of fault records in the history data in which the M-th fault type occurs is N, and in the N-th fault record, the operation characteristic of the monitoring device is { a 1_n ,A 2_n ,…,A y_n ,…,A Y_n }, where n=1, 2,..n, y=1, 2,..y, a y_n represents the Y-th operation feature of the monitoring device in the nth fault record, Y represents the number of operation features of the monitoring device in any one of the monitoring records, n=1, 2 is substituted one by one. ; Wherein a y represents a Y-th standard operation feature, the Y-th standard operation feature is an average value of Y-th operation features acquired in a preset standard feature acquisition period with the current time as an end point when the x-th monitoring device normally operates in the preset standard feature acquisition period, if B y_m is greater than a preset association degree threshold value, the Y-th operation feature is judged to be an identification feature of an m-th fault type, otherwise, the Y-th operation feature is judged not to be an identification feature of the m-th fault type, and y=1, 2 are substituted one by one.
4. A data management method for a monitoring device applied to user interaction according to claim 3 is characterized in that in step S3, when an mth fault type occurs in the monitoring device, monitoring the monitoring device with the current time as a starting point, judging that the monitoring device does not have a cascading failure if the monitoring device does not have a secondary fault in a fault control period with the time of the mth fault type as a starting point, otherwise, judging that the monitoring device has the cascading failure, and calling a P monitoring record of the cascading failure of the monitoring device, wherein the number of times that the secondary fault is the q fault type is C q , further obtaining the number of times that the secondary fault type is the M fault type { C 1 ,C 2 ,…,C q ,…,C Q },C q , indicating the number of times that the secondary fault type is the q fault type, further obtaining the secondary fault occurrence frequency D m of the M fault type, and obtaining the ratio of the sum of all values in the secondary fault occurrence frequency of the M fault type is { C 1 ,C 2 ,…,C q ,…,C Q }, and the number of times that the monitoring device has the M fault type.
5. The method for managing data of monitoring equipment applied to user interaction according to claim 4, wherein if D m is larger than a preset secondary fault occurrence frequency threshold, judging that the mth fault type is a secondary fault risk type, and recording the mth fault type, otherwise, judging that the mth fault type is not the secondary fault risk type, substituting m=1, 2 one by one, and then obtaining all the secondary fault risk types in the fault types, and recording and storing the secondary fault risk types in a secondary fault risk type database.
6. The method for managing data of monitoring equipment applied to user interaction according to claim 5, wherein in step S4, current operation characteristics of the monitoring equipment are obtained in real time, the current operation characteristics are { D 1 ,D 2 ,…,D y ,…,D Y }, D y represents the y-th current operation characteristics, risk of the risk monitoring equipment on the m-th fault type is called, Q identification characteristics corresponding to the m-th fault type are called, the Q identification characteristics corresponding to the m-th fault type are temporarily numbered { E 1 ,E 2 ,…,E q ,…,E Q }, E q is the Q-th identification characteristics, if the I (E q -e q )/e q |is larger than a preset Q-th identification characteristic deviation value, the Q-th identification characteristics are judged to be abnormal on the m-th fault type, E q is a standard operation characteristic corresponding to the Q-th identification characteristics, otherwise, the Q-th identification characteristics are normal on the m-th fault type, q=1, Q is substituted one by one, the number of the identification characteristics corresponding to the m-th fault type abnormality is F, if the F/Q is larger than a preset threshold value, and risk of the monitoring equipment is marked on the m-th fault type is judged to be abnormal.
7. The method for managing data of monitoring equipment applied to user interaction according to claim 6, wherein in the step S5, when risks of an mth fault type are marked, if the mth fault type is not a secondary fault risk type, the maintenance personnel data of the mth fault type are called, maintenance personnel information with highest success rate for processing the mth fault type in maintenance personnel is selected and recommended to a manager, if the mth fault type is a secondary fault risk type, the number { C 1 ,C 2 ,…,C q ,…,C Q } of times that the secondary fault type is M fault types is called, and then the frequency { G 1 ,G 2 ,…,G q ,…,G Q } of the secondary fault type is obtained, wherein G q represents the frequency that the secondary fault type is the q fault type, G q is the ratio of all sums in C q and { C 1 ,C 2 ,…,C q ,…,C Q }, if G q is larger than a preset frequency threshold, if the q fault type is not the secondary fault type, otherwise, the q fault type is not the secondary fault type is judged, and then all the secondary fault types with highest success rate are obtained, and the M fault type is recommended to the maintenance personnel with highest success rate for processing the maintenance personnel.
8. The method for managing data of a monitoring device for user interaction according to claim 6, wherein in step S6, the history data in the database is updated after any failure processing is completed.
9. The system is applied to the monitoring equipment data management method applied to the user interaction, and is characterized by comprising an equipment information characteristic warehousing module, a fault type identification analysis module, a secondary fault risk database building module, a fault risk real-time labeling module, a maintenance personnel intelligent recommendation module and a real-time operation data updating module; the equipment information feature warehousing module is used for marking equipment names and types of the monitoring equipment, acquiring operation features of the monitoring equipment and storing the operation features into an operation feature database of the monitoring equipment; the fault type identification analysis module is used for obtaining the fault type of the monitoring equipment aiming at the monitoring equipment and analyzing the identification characteristics of the fault type; The secondary fault risk database building module is used for calling data of historical faults of the monitoring equipment to analyze fault types, obtaining secondary fault risk types from the fault types and building a secondary fault risk type database; The fault risk real-time labeling module is used for acquiring the current operation characteristics of the monitoring equipment in real time and labeling risks of fault types to management personnel; The intelligent maintenance personnel recommendation module is used for selecting recommended maintenance personnel according to the marked fault type if the fault type is not the secondary fault risk type when the risk of the fault type is marked, otherwise, calling a secondary fault risk type database and comprehensively selecting the recommended maintenance personnel; And the real-time operation and maintenance data updating module is used for updating the database in real time after fault maintenance is completed.

Description

Monitoring equipment data management system and method applied to user interaction Technical Field The invention relates to the technical field of equipment data management, in particular to a monitoring equipment data management system and method applied to user interaction. Background In the field of monitoring equipment operation and maintenance in a user interaction scene, the traditional data management mode has obvious defects. The basic information marks of various monitoring devices lack unified standards, running data of different sources are not subjected to systematic pretreatment, data formats are disordered and have no unified time tracing marks, and meanwhile, related data are stored in different terminals or systems in a scattered manner and are not integrated into a unified interaction center database. In addition, the data updating after the fault treatment is finished is mostly manually operated, omission or delay is easy to occur, a complete link from data acquisition to iterative optimization is difficult to form, the whole-period operation and maintenance data of the equipment cannot be effectively traced, information islands are formed among various kinds of equipment, comprehensive support cannot be provided for operation and maintenance decisions, and the professionality and efficiency of data management are greatly reduced. The existing fault diagnosis mode of the monitoring equipment depends on manual inspection or passive fault alarming, and the fault diagnosis mode can only respond after the actual occurrence of the fault, so that potential fault hidden danger is difficult to identify in advance. Although some operation and maintenance schemes try to judge faults through operation features, a correlation system of fault types and identification features is not established, and accurate risk marking cannot be realized through comprehensive judgment of multidimensional features. Meanwhile, the hidden danger of cascading secondary faults caused by single faults is not considered in the traditional scheme, prospective recognition logic for high-risk fault types is lacked, a monitoring system is frequently paralyzed in a large range due to fault diffusion, continuous and stable operation of monitoring equipment is seriously influenced, and the treatment cost and difficulty of subsequent operation and maintenance are greatly increased. The traditional monitoring equipment is subjected to fault maintenance by adopting a unified personnel scheduling mode, and a differential recommendation scheme is not formulated aiming at the complexity and the risk level of the fault type. For conventional faults, the idle waste of high-skill personnel resources is easy to occur, and for complex faults with cascading risks, fault handling delay is often caused by the fact that matching personnel do not have comprehensive handling capability. The indiscriminate scheduling mode completely depends on manual experience, and can not screen adaptive maintenance personnel by relying on historical treatment data, so that the overall fault treatment efficiency is reduced, invalid consumption of maintenance manpower resources is caused, and the requirements of quick fault response and efficient solution of monitoring equipment in a user interaction scene are difficult to meet. Disclosure of Invention The invention aims to provide a monitoring equipment data management system and method applied to user interaction, so as to solve the problems in the background technology. In order to solve the technical problems, the invention provides a monitoring equipment data management method applied to user interaction, which comprises the following steps: s1, marking equipment names and types of monitoring equipment, acquiring operation characteristics of the monitoring equipment, and storing the operation characteristics into an operation characteristic database of the monitoring equipment; s2, aiming at the monitoring equipment, obtaining the fault type of the monitoring equipment, and analyzing the identification characteristic of the fault type; s3, calling data of historical faults of the monitoring equipment to analyze fault types, obtaining secondary fault risk types from the fault types, and establishing a secondary fault risk type database; s4, acquiring current operation characteristics of the monitoring equipment in real time, and marking risks of fault types for management staff; S5, when the risk of the fault type is marked, if the fault type is not the secondary fault risk type, selecting recommended maintenance personnel according to the marked fault type, otherwise, calling a secondary fault risk type database, and comprehensively selecting the recommended maintenance personnel; And S6, updating the database in real time after the fault maintenance is completed. Further, in step S1, after authorization, the monitoring equipment is marked with equipment names and types, so that X-type monitoring equipment is