CN113570084B - Method and system for generating fault analysis report based on equipment maintenance - Google Patents

Method and system for generating fault analysis report based on equipment maintenance Download PDF

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CN113570084B
CN113570084B CN202110862158.XA CN202110862158A CN113570084B CN 113570084 B CN113570084 B CN 113570084B CN 202110862158 A CN202110862158 A CN 202110862158A CN 113570084 B CN113570084 B CN 113570084B
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CN113570084A (en
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涂娅
滕德谊
朱疆卫
黄传林
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Chongqing Yunfeng Technology Co ltd
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Abstract

The invention provides a method and a system for generating a fault analysis report based on equipment maintenance, wherein the method comprises the following steps: receiving preset conditions, and configuring basic attributes of a fault analysis report according to the preset conditions, wherein the preset conditions carry one or more of enterprise identifications, equipment identifications and equipment mechanism identifications, and the basic attributes comprise service names, report names and service models; screening a corresponding equipment maintenance report according to preset conditions, and extracting fault information in the equipment maintenance report; counting the fault information to obtain a fault analysis index; acquiring a corresponding fault analysis report template according to the basic attribute and the fault analysis index; and importing the fault analysis index into a fault analysis report template to generate a target fault analysis report. The invention can simplify the equipment fault information and generate the corresponding analysis report, so that a manager can find the equipment fault problem in time, thereby rapidly processing the problem and improving the management efficiency of enterprises.

Description

Method and system for generating fault analysis report based on equipment maintenance
Technical Field
The invention relates to the technical field of industrial Internet, in particular to a method and a system for generating a fault analysis report based on equipment maintenance.
Background
The essence of the industrial Internet is that equipment, production lines, factories, suppliers, products and clients are tightly connected and fused through an open and global industrial network platform, and various element resources in the industrial economy are efficiently shared, so that the cost is reduced, the efficiency is increased through an automatic and intelligent production mode, the industrial chain is prolonged, and the transformation development of the manufacturing industry is promoted. Along with the development of industrial Internet, some enterprises realize the cloud service of production equipment, and the cloud service is that the enterprises report the real-time operation data and parameters of the production equipment to a cloud server, so that the operation data of the equipment can be checked at any time by personnel at different levels of the enterprises in real time, and an enterprise manager can know the production and operation states of the equipment in real time. Among them, the failure information of the equipment is particularly important for industrial enterprises.
However, in the cloud service in the prior art, only the sharing of the data and the information of the working state of the equipment is realized, and due to the numerous data and information in the cloud service, the enterprise manager is difficult to perceive the difference of the equipment fault information and the problems of the production equipment from the numerous data.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method and system for generating a failure analysis report based on equipment maintenance.
A method of generating a fault analysis report based on equipment servicing, comprising the steps of: receiving preset conditions, and configuring basic attributes of a fault analysis report according to the preset conditions, wherein the preset conditions carry one or more of enterprise identifications, equipment identifications and equipment mechanism identifications, and the basic attributes comprise service names, report names and service models; screening a corresponding equipment maintenance report according to the preset conditions, and extracting fault information in the equipment maintenance report; counting the fault information to obtain a fault analysis index; acquiring a corresponding fault analysis report template according to the basic attribute and the fault analysis index; and importing the fault analysis index into a fault analysis report template to generate a target fault analysis report.
In one embodiment, an association relationship is set between the equipment maintenance reports, and the corresponding equipment maintenance reports are linked according to the association relationship.
In one embodiment, the fault information includes a number of faults, a fault type, a fault start node, a fault end node, a maintenance start node, and a maintenance end node.
In one embodiment, the fault analysis index includes an enterprise dimension index, an equipment dimension index and an equipment mechanism index; the enterprise dimension index comprises a first fault frequency index, a first fault duration index, a fault type frequency distribution index, a fault type duration distribution index, a maintenance response and maintenance duration duty ratio index, a fault average repair time index and a fault average interval time index; the equipment dimension index comprises a second fault frequency index, a second fault duration index and a first fault rate index; the equipment mechanism index comprises a third failure frequency index, a third failure time index and a second failure rate index.
In one embodiment, the counting the fault information to obtain a fault analysis indicator specifically includes: when the fault analysis index is an enterprise dimension index, presetting a first time period, and acquiring enterprise fault information according to the first time period and an enterprise identifier; acquiring a first failure frequency index according to the enterprise identifier and the failure frequency; acquiring a first fault duration index according to the enterprise identifier, the fault starting node and the fault ending node; acquiring a fault type and number distribution index according to the enterprise identifier, the fault type and the number of faults; acquiring a fault type duration distribution index according to the enterprise identifier, the fault type and the fault duration; acquiring maintenance response and maintenance duration occupation ratio indexes according to the enterprise identifier, the maintenance starting node, the maintenance ending node, the fault starting node and the fault ending node; and inputting the enterprise fault information into the service model, and acquiring a fault average repair time index and a fault average interval time index.
In one embodiment, the counting the fault information to obtain a fault analysis indicator specifically includes: when the fault analysis index is an equipment dimension index, presetting a second time period, and acquiring equipment fault information according to the equipment identifier and the second time period; acquiring a second failure frequency index according to the equipment identifier and the failure frequency; acquiring a second fault duration index according to the equipment identifier, the fault starting node and the fault ending node; and inputting the equipment fault information into the service model to acquire a first fault rate index.
In one embodiment, the counting the fault information to obtain a fault analysis indicator specifically includes: when the fault analysis index is the equipment mechanism dimension index, presetting a third time period, and acquiring equipment fault information according to the equipment mechanism identifier and the third time period; acquiring a third failure frequency index according to the equipment mechanism identifier and the failure frequency; acquiring a third fault duration index according to the equipment mechanism identifier, the fault starting node and the fault ending node; and inputting the equipment mechanism fault information into the service model to obtain a second fault rate index.
In one embodiment, the failure analysis report templates include a failed overview template, a device analysis template, a failure rate analysis template, and an analysis summary template.
In one embodiment, the configuring the basic attribute of the fault analysis report, and obtaining the corresponding fault analysis report template according to the basic attribute and the fault analysis index specifically includes: acquiring a fault overview template according to the enterprise dimension index; acquiring an equipment analysis template according to the equipment dimension index; obtaining a failure rate analysis template according to the enterprise dimension index and the equipment mechanism index; and acquiring an analysis summary template according to the enterprise dimension index, the equipment dimension index and the enterprise dimension index.
A system for generating a failure analysis report based on equipment servicing, comprising: the system comprises a basic attribute configuration module, a fault analysis module and a fault analysis module, wherein the basic attribute configuration module is used for receiving preset conditions and configuring basic attributes of a fault analysis report according to the preset conditions, the preset conditions carry one or more of enterprise identifications, equipment identifications and equipment mechanism identifications, and the basic attributes comprise service names, report names and service models; the fault information extraction template is used for screening a corresponding equipment maintenance report according to the preset conditions and extracting fault information in the equipment maintenance report; the fault analysis index acquisition module is used for counting the fault information and acquiring a fault analysis index; the report template acquisition module is used for acquiring a corresponding fault analysis report template according to the basic attribute and the fault analysis index; the fault analysis report generation module is used for importing the fault analysis index into a fault analysis report template to generate a target fault analysis report.
Compared with the prior art, the invention has the advantages that: the invention can simplify the equipment fault information and generate the corresponding analysis report, so that a manager can find the equipment fault problem in time, thereby rapidly processing the problem and improving the management efficiency of enterprises.
Drawings
FIG. 1 is a flow diagram of a method of generating a failure analysis report based on equipment servicing in one embodiment;
FIG. 2 is a schematic diagram of a system for generating a failure analysis report based on equipment servicing in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail by the following detailed description with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In one embodiment, as shown in FIG. 1, a method of generating a failure analysis report based on equipment servicing is provided, comprising the steps of:
step S101, receiving preset conditions, and configuring basic attributes of a fault analysis report according to the preset conditions.
Specifically, the user may upload preset conditions through the client, the server receives the preset conditions, and configures basic attributes of the fault analysis report according to the preset conditions, where the preset conditions may be a statistical time period, a type of the fault analysis report, and the like.
The preset conditions carry one or more of enterprise identifications, equipment identifications and equipment mechanism identifications; the basic attribute comprises a service name, a report name and a service model; the service models include an MTTR (mean time to repair, mean time to repair failure) model, an MTBF (mean time between failures, mean time between failure) model, and a failure rate model.
Step S102, screening a corresponding equipment maintenance report according to preset conditions, and extracting fault information in the equipment maintenance report.
Specifically, the equipment maintenance report is screened according to preset conditions, for example, when the preset conditions are statistical time periods and enterprise identifications are carried, all equipment maintenance reports of the enterprise identifications in the corresponding statistical time periods are screened, and fault information in the screened equipment maintenance reports is extracted to serve as basic data of a fault analysis report.
The equipment maintenance report is stored in the database in advance, and comprises a statistical type, a statistical mode and a start node or an end node of a corresponding flow. The statistical type comprises equipment maintenance or equipment failure and the like; the statistical mode comprises integral statistics or sectional statistics; the starting node or the ending node of the corresponding flow comprises a maintenance starting node, a maintenance ending node, a fault starting node and a fault ending node.
And the equipment maintenance reports are linked according to the association relation.
Specifically, the equipment maintenance report forms comprise a plurality of equipment maintenance report forms, and the equipment maintenance report forms are provided with association relations, such as a master table, a slave table and the like, so that the equipment maintenance report forms can be conveniently searched, and the equipment maintenance report forms can search the associated master and slave tables through the association relations, so that comprehensive equipment maintenance information is obtained.
The fault information comprises fault times, fault types, fault starting nodes, fault ending nodes, maintenance starting nodes and maintenance ending nodes, so that equipment fault analysis is facilitated.
And step S103, counting the fault information to obtain a fault analysis index.
Specifically, according to the extracted fault information, statistical calculation is performed to obtain a fault analysis index. In the course of the acquisition of the failure analysis index,
the fault analysis indexes comprise enterprise dimension indexes, equipment dimension indexes and equipment structure indexes; the enterprise dimension index comprises a first fault frequency index, a first fault duration index, a fault type frequency distribution index, a fault type duration distribution index, a maintenance response and maintenance duration duty ratio index, a fault average repair time index and a fault average interval time index; the equipment dimension index comprises a second fault frequency index, a second fault duration index and a first fault rate index; the equipment mechanism index comprises a third fault frequency index, a third fault duration index and a second fault rate index.
Specifically, when the fault information is counted, the fault information can be respectively acquired according to the dimensions of the fault analysis index, so that the fault analysis content of the equipment can be intuitively and comprehensively acquired, and the fault equipment can be correspondingly processed according to different dimensions.
Step S104, obtaining a corresponding fault analysis report template according to the basic attribute and the fault analysis index.
Specifically, a plurality of fault analysis report templates are preset in the server, and corresponding fault analysis report templates are obtained according to the basic attribute and the fault analysis index. For example, an enterprise dimension fault analysis report template is obtained according to the service name and the enterprise dimension index, so that the first fault times, the first fault duration, the fault type times distribution, the fault type duration distribution, the maintenance response and maintenance duration ratio, the fault average repair time and the fault average interval time are analyzed and summarized, and the equipment fault problem can be processed in a targeted manner by an enterprise.
The fault analysis report template comprises a fault overview template, an equipment analysis template, a fault rate analysis template and an analysis summary template.
Specifically, each fault analysis report template is provided with a corresponding display result plate and an analysis conclusion plate, wherein the display result plate can be used for displaying the corresponding contents such as 'fault times', 'fault duration', 'fault type times distribution', 'fault type duration distribution', and the like; the analysis conclusion plate can be used for displaying conclusion, for example, from the view of the times of faults, the high-occurrence faults are { fault type with highest proportion }, and xx times are generated together; where { Top1 failure type duration } results in the most yield loss.
Step S105, the fault analysis index is imported into a fault analysis report template to generate a target fault analysis report.
Specifically, after a fault analysis report template is obtained according to the fault analysis index, the fault analysis index is imported into the fault analysis report template to generate a target fault analysis report.
In this embodiment, by receiving preset conditions, configuring basic attributes of a fault analysis report according to the preset conditions, screening corresponding equipment maintenance reports, extracting fault information in the equipment maintenance reports, counting the fault information, obtaining fault analysis indexes, obtaining corresponding fault analysis report templates according to the basic attributes and the fault analysis indexes, importing the fault analysis indexes into the fault analysis report templates to generate a target fault analysis report, simplifying the equipment fault information, generating the corresponding analysis report, and facilitating a manager to find equipment fault problems in time, so that the problems can be rapidly processed, and the management efficiency of enterprises is improved.
The step S103 specifically includes: when the fault analysis index is an enterprise dimension index, presetting a first time period, and acquiring enterprise fault information according to the first time period and an enterprise identifier; acquiring a first failure frequency index according to the enterprise identifier and the failure frequency; acquiring a first fault duration index according to the enterprise identifier, the fault starting node and the fault ending node; acquiring a fault type and number distribution index according to the enterprise identifier, the fault type and the number of faults; acquiring a fault type duration distribution index according to the enterprise identifier, the fault type and the fault duration; acquiring maintenance response and maintenance duration occupation ratio indexes according to the enterprise identifier, the maintenance starting node, the maintenance ending node, the fault starting node and the fault ending node; and inputting the enterprise fault information into a service model, and obtaining a fault average repair time index and a fault average interval time index.
Specifically, the fault information is screened according to preset conditions, and the preset conditions carry one or more of enterprise identifiers, equipment identifiers and equipment mechanism identifiers, so that when the preset conditions carry the enterprise identifiers, the fault analysis index is an enterprise dimension index.
When the fault analysis index is an enterprise dimension index, presetting a first time period, and acquiring enterprise fault information according to the first time period and an enterprise identifier; obtaining corresponding failure times according to enterprise identifications, and summing up the failure times in all enterprise failure information to obtain a first failure time index; obtaining corresponding fault starting nodes and fault ending nodes according to enterprise identifiers, calculating to obtain fault duration, and summing the fault duration in all enterprise fault information to obtain a first fault duration index; obtaining corresponding fault types and fault times, such as types of mechanical faults, electrical faults and the like, according to the enterprise identification, so as to obtain fault type times distribution indexes; acquiring a corresponding fault type and fault duration according to the enterprise identifier, thereby acquiring a fault type duration distribution index; obtaining corresponding maintenance starting nodes, maintenance ending nodes, fault starting nodes and fault ending nodes according to enterprise identifiers, and calculating to obtain maintenance response and maintenance duration occupation ratio indexes; and inputting enterprise fault information into a service model, wherein the service model is an MTTR model and an MTBF model, and respectively acquiring a fault average repair time index and a fault average interval time index through the fault duration/fault times and the fault interval duration/fault times.
The step S103 specifically includes: when the fault analysis index is an equipment dimension index, presetting a second time period, and acquiring equipment fault information according to the equipment identifier and the second time period; acquiring a second failure frequency index according to the equipment identifier and the failure frequency; acquiring a second fault duration index according to the equipment identifier, the fault starting node and the fault ending node; and inputting the equipment fault information into the service model to acquire a first fault rate index.
Specifically, when the preset condition carries the equipment identifier, the fault analysis index is an equipment dimension index. When the fault analysis index is an equipment dimension index, presetting a second time period, and acquiring equipment fault information according to the equipment identifier and the second time period; obtaining corresponding fault times according to the equipment identifiers, and summing the fault times in the fault information of all the equipment to obtain a second fault time identifier; obtaining corresponding fault starting nodes and fault ending nodes according to the equipment identification, calculating the time difference of subtracting the fault starting nodes from the fault ending nodes, and obtaining a second fault duration index; and inputting the equipment fault information into a corresponding service model, wherein the service model is a fault rate calculation model, and acquiring a first fault rate index through the fault duration/available duration.
The step S103 specifically includes: when the fault analysis index is the equipment mechanism dimension index, presetting a third time period, and acquiring equipment fault information according to the equipment mechanism identifier and the third time period; acquiring a third failure frequency index according to the equipment mechanism identification and the failure frequency; acquiring a third fault duration index according to the equipment mechanism identifier, the fault starting node and the fault ending node; and inputting the equipment mechanism fault information into the service model to acquire a second fault rate index.
Specifically, when the preset condition carries the equipment mechanism identifier, the fault analysis index is the equipment mechanism dimension index. When the fault analysis index is the equipment mechanism dimension index, presetting a third time period, and acquiring equipment fault information according to the equipment mechanism identifier and the third time period; acquiring corresponding failure times according to the equipment mechanism identifier, and acquiring a third failure time index according to the failure times in the equipment failure information; acquiring corresponding fault starting nodes and fault ending nodes according to the equipment mechanism identification, and calculating and acquiring a third fault duration index; and inputting the equipment mechanism fault information into a service model, wherein the service model is a fault rate calculation model, and acquiring a second fault rate index through the fault duration/available duration.
It should be noted that when the preset condition carries two or more identifiers at the same time, the corresponding first time period, second time period and third time period are the same at this time, for example, when the preset condition carries the enterprise identifier and the equipment mechanism identifier, the first time period and the third time period are the same; when the preset conditions carry the equipment identifier and the equipment mechanism identifier, the second time period is the same as the third time period, so that the corresponding fault analysis content can be conveniently displayed in a unified mode.
The step S104 specifically includes: acquiring a fault overview template according to the enterprise dimension index; acquiring an equipment analysis template according to the equipment dimension index; obtaining a failure rate analysis template according to enterprise dimension indexes and equipment mechanism indexes; and acquiring an analysis summary template according to the enterprise dimension index, the equipment dimension index and the enterprise dimension index.
Specifically, since different failure analysis indexes correspond to different failure data, different templates correspond to different failure analysis indexes. The method comprises the following steps: acquiring a fault overview template according to the enterprise dimension index; acquiring an equipment analysis template according to the equipment dimension index; obtaining a failure rate analysis template according to enterprise dimension indexes and equipment mechanism indexes; and acquiring an analysis summary template according to the enterprise dimension index, the equipment dimension index and the enterprise dimension index.
For example, the presentation result of the device analysis template may be: and forming the pareto graph of the equipment according to the second failure frequency index and the second failure time index. The analysis conclusion can be as follows: from the data of the second time period, the times and the time of the faults of the equipment A and the equipment B occupy 80% of the times of the total time, the equipment A belongs to high-frequency faults which are easy to occur, the occurrence frequency needs to be reduced, the equipment B belongs to low-frequency faults which are occasional, the equipment maintenance in advance needs to be done, and the fault maintenance capability is improved.
As shown in fig. 2, a system 20 for generating a failure analysis report based on equipment servicing is provided, comprising: a basic attribute configuration module 21, a fault information extraction module 22, a fault analysis index acquisition module 23, a report template acquisition module 24, and a fault analysis report generation module 25, wherein:
the basic attribute configuration module 21 is configured to receive a preset condition, and configure a basic attribute of the fault analysis report according to the preset condition, where the preset condition carries one or more of an enterprise identifier, a device identifier and a device mechanism identifier, and the basic attribute includes a service name, a report name and a service model;
the fault information extraction template 22 is used for screening a corresponding equipment maintenance report according to preset conditions and extracting fault information in the equipment maintenance report;
the failure analysis index obtaining module 23 is configured to count failure information and obtain a failure analysis index;
the report template obtaining module 24 is configured to obtain a corresponding fault analysis report template according to the basic attribute and the fault analysis index;
the fault analysis report generation module 25 is configured to import the fault analysis index into a fault analysis report template, and generate a target fault analysis report.
In one embodiment, the failure analysis index acquisition module 23 is specifically configured to: when the fault analysis index is an enterprise dimension index, presetting a first time period, and acquiring enterprise fault information according to the first time period and an enterprise identifier; acquiring a first failure frequency index according to the enterprise identifier and the failure frequency; acquiring a first fault duration index according to the enterprise identifier, the fault starting node and the fault ending node; acquiring a fault type and number distribution index according to the enterprise identifier, the fault type and the number of faults; acquiring a fault type duration distribution index according to the enterprise identifier, the fault type and the fault duration; acquiring maintenance response and maintenance duration occupation ratio indexes according to the enterprise identifier, the maintenance starting node, the maintenance ending node, the fault starting node and the fault ending node; and inputting the enterprise fault information into a service model, and obtaining a fault average repair time index and a fault average interval time index.
In one embodiment, the failure analysis index acquisition module 23 is specifically configured to: when the fault analysis index is an equipment dimension index, presetting a second time period, and acquiring equipment fault information according to the equipment identifier and the second time period; acquiring a second failure frequency index according to the equipment identifier and the failure frequency; acquiring a second fault duration index according to the equipment identifier, the fault starting node and the fault ending node; and inputting the equipment fault information into the service model to acquire a first fault rate index.
In one embodiment, the failure analysis index acquisition module 23 is specifically configured to: when the fault analysis index is the equipment mechanism dimension index, presetting a third time period, and acquiring equipment fault information according to the equipment mechanism identifier and the third time period; acquiring a third failure frequency index according to the equipment mechanism identification and the failure frequency; acquiring a third fault duration index according to the equipment mechanism identifier, the fault starting node and the fault ending node; and inputting the equipment mechanism fault information into the service model to acquire a second fault rate index.
In one embodiment, the report template acquisition module 24 is specifically configured to: acquiring a fault overview template according to the enterprise dimension index; acquiring an equipment analysis template according to the equipment dimension index; obtaining a failure rate analysis template according to enterprise dimension indexes and equipment mechanism indexes; and acquiring an analysis summary template according to the enterprise dimension index, the equipment dimension index and the enterprise dimension index.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be centralized on a single computing device, or distributed across a network of computing devices, or they may alternatively be implemented in program code executable by computing devices, such that they may be stored on a computer storage medium (ROM/RAM, magnetic or optical disk) for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than what is shown or described herein, or they may be individually manufactured as individual integrated circuit modules, or a plurality of modules or steps in them may be manufactured as a single integrated circuit module. Therefore, the present invention is not limited to any specific combination of hardware and software.
The foregoing is a further detailed description of the invention in connection with specific embodiments, and is not intended to limit the practice of the invention to such descriptions. It will be apparent to those skilled in the art that several simple deductions or substitutions may be made without departing from the spirit of the invention, and these should be considered to be within the scope of the invention.

Claims (5)

1. A method of generating a fault analysis report based on equipment servicing, comprising the steps of:
step S101, receiving preset conditions, and configuring basic attributes of a fault analysis report according to the preset conditions, wherein the preset conditions carry one or more of enterprise identifications, equipment identifications and equipment mechanism identifications, and the basic attributes comprise service names, report names and service models;
step S102, screening a corresponding equipment maintenance report according to the preset conditions, and extracting fault information in the equipment maintenance report; the fault information comprises fault times, fault types, fault starting nodes, fault ending nodes, maintenance starting nodes and maintenance ending nodes;
step S103: counting the fault information to obtain a fault analysis index;
specifically, the fault information is screened out according to preset conditions, and the preset conditions carry one or more of enterprise identifiers, equipment identifiers and equipment mechanism identifiers; specifically, when the preset condition carries the enterprise identifier, the fault analysis index is an enterprise dimension index, and when the fault analysis index is the enterprise dimension index, a first time period is preset, and enterprise fault information is obtained according to the first time period and the enterprise identifier; obtaining corresponding failure times according to enterprise identifications, and summing up the failure times in all enterprise failure information to obtain a first failure time index; obtaining corresponding fault starting nodes and fault ending nodes according to enterprise identifiers, calculating to obtain fault duration, and summing the fault duration in all enterprise fault information to obtain a first fault duration index; acquiring a corresponding fault type and fault times according to the enterprise identifier so as to acquire a fault type times distribution index; acquiring a corresponding fault type and fault duration according to the enterprise identifier, thereby acquiring a fault type duration distribution index; obtaining corresponding maintenance starting nodes, maintenance ending nodes, fault starting nodes and fault ending nodes according to enterprise identifiers, and calculating to obtain maintenance response and maintenance duration occupation ratio indexes; inputting enterprise fault information into a service model, wherein the service model is an MTTR model and an MTBF model, and respectively acquiring a fault average repair time index and a fault average interval time index through fault duration/fault times and fault interval duration/fault times;
when the preset conditions carry the equipment identification, the fault analysis index is an equipment dimension index, and when the fault analysis index is the equipment dimension index, a second time period is preset, and equipment fault information is acquired according to the equipment identification and the second time period; obtaining corresponding fault times according to the equipment identifiers, and summing the fault times in the fault information of all the equipment to obtain a second fault time identifier; obtaining corresponding fault starting nodes and fault ending nodes according to the equipment identification, calculating the time difference of subtracting the fault starting nodes from the fault ending nodes, and obtaining a second fault duration index; inputting equipment fault information into a corresponding service model, wherein the service model is a fault rate calculation model, and acquiring a first fault rate index through fault duration/available duration;
when the preset condition carries the equipment mechanism identifier, the fault analysis index is the equipment mechanism dimension index; when the fault analysis index is the equipment mechanism dimension index, presetting a third time period, and acquiring equipment fault information according to the equipment mechanism identifier and the third time period; acquiring corresponding failure times according to the equipment mechanism identifier, and acquiring a third failure time index according to the failure times in the equipment failure information; acquiring corresponding fault starting nodes and fault ending nodes according to the equipment mechanism identification, and calculating and acquiring a third fault duration index; inputting equipment mechanism fault information into a service model, wherein the service model is a fault rate calculation model, and acquiring a second fault rate index through fault duration/available duration;
when the preset conditions simultaneously carry two or more marks, the corresponding first time period, second time period and third time period are the same at the moment;
step S104, obtaining a corresponding fault analysis report template according to the basic attribute and the fault analysis index; specifically, a plurality of fault analysis report templates are preset in a server, and corresponding fault analysis report templates are obtained according to basic attributes and fault analysis indexes; the fault analysis report template comprises a fault overview template, an equipment analysis template, a fault rate analysis template and an analysis summary template; different fault analysis indexes correspond to different fault data, so that different templates are corresponding to different fault analysis indexes; the method comprises the following steps: acquiring a fault overview template according to the enterprise dimension index; acquiring an equipment analysis template according to the equipment dimension index; obtaining a failure rate analysis template according to enterprise dimension indexes and equipment mechanism indexes; acquiring analysis summary templates according to enterprise dimension indexes, equipment dimension indexes and enterprise dimension indexes;
step S105, the fault analysis index is imported into a fault analysis report template to generate a target fault analysis report.
2. The method for generating a fault analysis report based on equipment maintenance according to claim 1, wherein an association relation is arranged between the equipment maintenance reports, and the corresponding equipment maintenance reports are linked according to the association relation.
3. A method of generating a failure analysis report based on equipment servicing according to claim 2, wherein: the equipment maintenance report forms comprise a plurality of equipment maintenance report forms, wherein the equipment maintenance report forms comprise a master table and a slave table, and the equipment maintenance report forms are convenient to search, and can search the master table and the slave table through the association relation, so that comprehensive equipment maintenance information is obtained.
4. The method of claim 1, wherein the step S101 is performed to receive a preset condition and configure a basic attribute of the fault analysis report according to the preset condition, and specifically includes that a user can upload the preset condition through a client, the server receives the preset condition and configures the basic attribute of the fault analysis report according to the preset condition, and the preset condition is a statistical time period or a type of the fault analysis report.
5. A system for generating a failure analysis report based on equipment maintenance, characterized in that it is applied to the method for generating a failure analysis report based on equipment maintenance according to any one of claims 1 to 4, comprising:
the system comprises a basic attribute configuration module, a fault analysis module and a fault analysis module, wherein the basic attribute configuration module is used for receiving preset conditions and configuring basic attributes of a fault analysis report according to the preset conditions, the preset conditions carry one or more of enterprise identifications, equipment identifications and equipment mechanism identifications, and the basic attributes comprise service names, report names and service models;
the fault information extraction template is used for screening a corresponding equipment maintenance report according to the preset conditions and extracting fault information in the equipment maintenance report;
the fault analysis index acquisition module is used for counting the fault information and acquiring a fault analysis index;
the report template acquisition module is used for acquiring a corresponding fault analysis report template according to the basic attribute and the fault analysis index;
the fault analysis report generation module is used for importing the fault analysis index into a fault analysis report template to generate a target fault analysis report.
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