CN112085344A - Equipment health analysis method and device and electronic equipment - Google Patents
Equipment health analysis method and device and electronic equipment Download PDFInfo
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- CN112085344A CN112085344A CN202010827128.0A CN202010827128A CN112085344A CN 112085344 A CN112085344 A CN 112085344A CN 202010827128 A CN202010827128 A CN 202010827128A CN 112085344 A CN112085344 A CN 112085344A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
Abstract
The application belongs to the technical field of data processing, and particularly relates to an equipment health analysis method and device, a storage medium and electronic equipment. The method for analyzing the health of the equipment comprises the following steps: the method comprises the steps of firstly obtaining at least one type of equipment data in an equipment database, then calculating at least one type of health index of the equipment according to the at least one type of equipment data, and finally obtaining a health analysis result of the equipment according to the at least one type of health index. The health analysis method comprises the steps of obtaining at least one equipment data in an equipment database, generating at least one health index, obtaining a health analysis result of the equipment according to the at least one health index, namely judging the health of the equipment after combining multiple types of equipment health data, avoiding the technical problem of incomplete analysis caused by traditional single data analysis, realizing the health of comprehensive and complete analysis equipment, and improving the accuracy of equipment health analysis.
Description
Technical Field
The application belongs to the technical field of data processing, and particularly relates to an equipment health analysis method and device, a storage medium and electronic equipment.
Background
Equipment health monitoring refers to evaluating the operating condition of equipment and factors related to potential faults so as to evaluate the health degree of the equipment. And the traditional equipment health analysis method is generally carried out based on data query of a single label or an association table of a database. Although the traditional equipment health analysis method meets daily evaluation requirements, the evaluation content is single, only one function of equipment can be evaluated once, the health degree of the equipment cannot be analyzed from a comprehensive perspective, and the traditional equipment health analysis method is not beneficial to evaluating the health condition of the equipment simply and visually by enterprises.
Disclosure of Invention
The embodiment of the application provides an equipment health analysis method, an equipment health analysis device, a storage medium and electronic equipment, so that the technical problem that a traditional equipment health analysis method is single is solved, and risks caused by incomplete equipment health analysis are avoided.
In a first aspect, an embodiment of the present application provides a method for analyzing health of a device, where the method includes:
acquiring at least one type of equipment data in an equipment database;
calculating at least one health indicator of the equipment according to the at least one equipment data;
and calculating the health analysis result of the equipment according to the at least one health index.
Optionally, calculating a health analysis result of the device according to the at least one health indicator comprises:
calling at least one preset weight coefficient, wherein the weight coefficient is in one-to-one correspondence with the health index;
and respectively allocating the health indexes with the corresponding weight coefficients to obtain health analysis results of the equipment.
Optionally, before the obtaining at least one device data in the device database, the method further includes:
and establishing the equipment database in advance.
Optionally, the pre-establishing the device database includes:
defining the at least one device data and a data providing path thereof;
and generating the equipment database according to the at least one piece of equipment data and the data providing way thereof.
Optionally, the acquiring at least one device data in the device database includes:
and acquiring the at least one type of data pre-established in the equipment database in real time according to the pre-defined data providing way.
Optionally, after the obtaining of the health analysis result of the device according to the at least one health indicator, the method further includes:
summing the health analysis results to obtain a final health result;
and displaying the health value at the front end.
Optionally, the at least one device data includes device management business data, patrol business data, and/or daily maintenance data.
A second aspect of embodiments of the present application provides an apparatus for analyzing health of a device, the apparatus including:
the acquisition module is used for acquiring at least one type of equipment data in an equipment database;
the calculation module is used for calculating at least one health index of the equipment according to the at least one equipment data;
and the analysis module is used for acquiring a health analysis result of the equipment according to the at least one health index.
A third aspect of the embodiments of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the method for analyzing the health of the device as described above when executing the computer program.
A fourth aspect of the present embodiments provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the method for analyzing the health of a device as described above.
A fifth aspect of embodiments of the present application provides a computer program product, which, when running on a terminal device, causes the terminal device to execute the method for analyzing device health provided in the first aspect of embodiments of the present application.
Compared with the prior art, the implementation mode of the invention has the following beneficial effects: the method comprises the steps of firstly obtaining at least one type of equipment data in an equipment database, then calculating at least one type of health index of the equipment according to the at least one type of equipment data, and finally obtaining a health analysis result of the equipment according to the at least one type of health index. The health analysis method comprises the steps of obtaining at least one equipment data in an equipment database, generating at least one health index, obtaining a health analysis result of the equipment according to the at least one health index, namely judging the health of the equipment after combining multiple types of equipment health data, avoiding the technical problem of incomplete analysis caused by traditional single data analysis, realizing the health of comprehensive and complete analysis equipment, and improving the accuracy of equipment health analysis.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a schematic flowchart of a first implementation process of an analysis method for device health according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating a second implementation process of the method for analyzing health of a device according to an embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of an apparatus for analyzing health of a device according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the order of writing each step in this embodiment does not mean the order of execution, and the order of execution of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of this embodiment.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
In order to explain the technical means described in the present application, the following description will be given by way of specific embodiments.
Referring to fig. 1, which is a flowchart of a first implementation procedure of an analysis method for providing device health according to an embodiment of the present application, for convenience of description, only a part related to the embodiment of the present application is shown.
A preferred embodiment of the present application may be a method for analyzing the health of the apparatus, the method including:
s101, at least one type of equipment data in an equipment database is obtained.
In this embodiment, at least one device data is data that can be used to analyze the health of the device. The source of the at least one data is generated according to actual business needs, for example, the source of the at least one data is from the counted times of the daily starting operation of the equipment, and is from equipment file information, daily maintenance information, monthly repair information, overhaul information and the like. In addition, the definition of the at least one kind of equipment data can be defined according to the requirements of users, and corresponding acquisition path setting is carried out on the equipment according to the defined equipment data.
It should be noted that the application scenario of the at least one device data may be defined according to the service scope of the device, for example, according to the service scope of the device, such as device profile management, daily maintenance management, lubrication management, inspection tour management, overhaul management, monthly repair management, and old and new degree management, and corresponding device data may be defined corresponding to the service scope for subsequent health degree analysis.
In some possible embodiments, the at least one device data may be one, and preferably two or more. The more the quantity of the equipment data is defined and acquired, the more comprehensive and comprehensive the health degree analysis of the equipment is, and the accuracy of the health analysis of the equipment is further improved.
In some possibly implemented embodiments, the at least one device data includes device management business data, patrol business data, and/or routine maintenance data.
In some possibly implemented embodiments, before the obtaining at least one device data in the device database, the method further comprises:
and establishing the equipment database in advance.
In this embodiment, the establishment of the device database is previously established by a user according to a requirement, and the establishment of the device database is also performed according to an actual service requirement of the device, in other words, at least one device data in the device database is generated by an actual service of the device, such as device archive management, daily maintenance management, spot inspection management, overhaul management, monthly maintenance management, new and old degree management, and the like; the device database is used for storing the device data for subsequent device health analysis. In addition, the type of the equipment database is flexible, the conventional type of the existing database can be adopted, a new database can be automatically established, and the patent is not limited so as to realize the functions.
In some possible embodiments, said pre-establishing said device database comprises:
defining the at least one data and a data providing way thereof;
and generating the equipment database according to the at least one piece of equipment data and the data providing path.
In this embodiment, the defining of the at least one type of data is defined according to an actual service requirement of the device. The data providing path of the at least one data means that after the at least one data definition is completed, a data providing path of the at least one device data is configured for subsequent acquisition of the at least one device data. The at least one device data providing path is unique and non-repetitive, that is, the system acquiring manner corresponding to each device data is unique and non-repetitive, for example, the acquiring identification code of the device data a is a, and the acquiring identification code of the device data B is an identification code other than a. The reason for this arrangement is to avoid repeated erroneous acquisitions when acquiring the at least one device data. The generating of the device database according to the at least one device data and the data providing route means that the device database includes the at least one device data and a providing route corresponding to the at least one device data.
In some possible embodiments, the database establishment may specifically include two steps:
1) establishing a scheduling task, and defining two transmission parameters, namely a mobile (source program module) and a biztype, through url parameters, wherein the mobile controls the type of a database, and the biztype controls the range of the database;
2) defining equipment data extraction implementation interface (such as ICollectProcessor), providing initialization data extraction method (such as collecteHzData ()) and re-extraction method (such as recollecteHzData ()).
Specifically, the type of the device database and the range of the device database are defined through preset parameters, and then a device data interface and an acquisition method are defined, so that a subsequent system can acquire at least one device data. It should be noted that, when the system is in application, the data extraction interface may be automatically or manually called by a scheduling task to achieve data acquisition, and the execution end time and state are updated each time, so as to avoid that the next execution check fails because the exception cannot be written back.
In some possible embodiments, the obtaining at least one device data in the device database includes:
and acquiring the at least one kind of data pre-established in the equipment database in real time according to the pre-defined data providing way.
Specifically, when the system acquires at least one type of equipment data in the equipment database, the system acquires the at least one type of data pre-established in the equipment database in real time according to the pre-defined data providing path.
S102: at least one health indicator of the device is calculated based on the at least one device data.
In this embodiment, after the system acquires the at least one piece of equipment data, the system calculates a health index corresponding to the at least one piece of equipment data according to a preset calculation rule. The health index is an evaluation index related to the equipment, which is obtained by the system according to the at least one equipment data. For example, the device data is device file data and patrol data, the device file data and patrol data are calculated according to a preset calculation rule, and three health indexes are obtained, namely a device patrol completion rate, a device patrol timeliness rate and a device patrol accuracy rate. The three health indexes of "equipment inspection completion rate, equipment inspection timeliness rate and equipment inspection accuracy rate" are used for subsequent analysis of the factors of the equipment health degree. Simply speaking, based on the summarized data results of each device, such as device archive management, daily maintenance management, inspection tour management, etc., the device and organization attributes are used as a main line to establish a single-table or multi-table data relationship, each established relationship can be regarded as a health index, and one or more health indexes can be established according to actual needs during specific implementation.
It should be noted that the preset calculation rule is configured in advance according to the at least one device data, and the user can define the number and the type of the health indicators by himself through the preset calculation rule.
In some possible embodiments, the health indicators calculated from the same several device data may be different. As mentioned in the foregoing example, the device data is device profile data and the inspection data, and three health indicators can be obtained by calculating the device profile data and the inspection data, which are respectively a device inspection completion rate, a device inspection timeliness rate, and a device inspection accuracy rate. And specifically obtaining which health index is defined according to the equipment data and a calculation rule configured in advance by a user.
S103: and calculating the health analysis result of the equipment according to the at least one health index.
In this embodiment, the health analysis result refers to a visualization result reflecting the health degree of the device, which is calculated by the system according to the health index. The health analysis results may be presented in a variety of ways including, but not limited to, numerical, graphical, and the like. Wherein, the system calculates the calculation rule of the health analysis result according to the at least one health index, and also calculates the calculation rule according to a calculation rule pre-configured by the user, and the calculation rule can be a function of the summary.
In some possibly implemented embodiments, said calculating at least one health indicator of said device from said at least one device data comprises:
s201: calling at least one preset weight coefficient, wherein the weight coefficient is in one-to-one correspondence with the equipment data;
in this embodiment, the setting of the at least one weight coefficient is configured in advance by the user, and the value of the weight coefficient is determined by the user according to the actual requirement and the empirical value. When there is only one weight coefficient, the weight coefficient is 1. When the number of the weight coefficients is two or more, the sum of the two or more weight coefficients is 1. Meanwhile, the health indexes are in one-to-one correspondence with the weight coefficients, one health index corresponds to one weight coefficient, and different health indexes can correspond to the same weight coefficient, for example, the health indexes are respectively equipment inspection completion rate, equipment inspection timeliness rate and equipment inspection accuracy rate, the weight coefficient corresponding to the equipment inspection completion rate is 0.3, the equipment inspection timeliness rate is also 0.3, the equipment inspection accuracy rate is 0.4, namely, the equipment inspection completion rate is the same as the weight coefficient corresponding to the equipment inspection timeliness rate, and both are 0.3. In addition, the setting of the weight coefficient can enable a user to intervene in the health degree judgment of the equipment according to actual requirements and experience, so that the health degree judgment of the equipment is more accurate. For example, when the user determines that the equipment patrol inspection accuracy is higher than the requirement after measuring the actual requirement, the correspondingly configured weight coefficient is properly adjusted higher, and when the equipment patrol inspection completion rate is lower than the requirement, the weight coefficient is properly adjusted lower.
S202: and respectively allocating the health indexes with the corresponding weight coefficients to obtain health analysis results of the equipment.
In this embodiment, after the system obtains the health index and the weight coefficient corresponding thereto, the weight coefficient corresponding thereto is assigned to the health index for analysis and calculation, so as to obtain a corresponding health analysis result.
In some possible embodiments, the health indicators may also be given numerical representations, and the health indicators are respectively provided with the weight coefficients corresponding to the health indicators, and the obtained health analysis results may be the sum of all the health indicators and the weight coefficients corresponding to the health indicators after the health indicators are multiplied, that is, the health analysis results may also be shown in numerical form.
In some possible embodiments, after obtaining the health analysis result of the device according to the at least one health indicator, the method further includes:
summing the health analysis results to obtain a final health result;
and displaying the health value at the front end.
In this case, if the health indicators are in a multi-group form, the number of the correspondingly obtained health analysis results may be multiple. And the system obtains a final health result according to the plurality of health analysis results, and displays the final health result at the front end. Of course, the health index may also be a single group, and when the health index is the single group, the health analysis result is directly displayed at the front end.
Compared with the prior art, the implementation mode of the invention has the following beneficial effects: the method comprises the steps of firstly obtaining at least one type of equipment data in an equipment database, then calculating at least one type of health index of the equipment according to the at least one type of equipment data, and finally obtaining a health analysis result of the equipment according to the at least one type of health index. The health analysis method comprises the steps of obtaining at least one equipment data in an equipment database, generating at least one health index, obtaining a health analysis result of the equipment according to the at least one health index, namely judging the health of the equipment after combining multiple types of equipment health data, avoiding the technical problem of incomplete analysis caused by traditional single data analysis, realizing the health of comprehensive and complete analysis equipment, and improving the accuracy of equipment health analysis. Furthermore, the user can carry out analysis and evaluation on the aspects of information integrity, operation stability, standardized operation degree, new and old degree and the like of the equipment in the operation stage by means of the method, and the allowable risk of the equipment is visually embodied in a total score and item index score mode.
Fig. 3 shows a block diagram of a device health analysis apparatus provided in an embodiment of the present application, and for convenience of description, only the parts related to the embodiment of the present application are shown.
Referring to fig. 3, an apparatus 300 for analyzing the health of a device, the apparatus 300 comprising:
an obtaining module 301, configured to obtain at least one device data in a device database;
a calculating module 302, configured to calculate at least one health indicator of the device according to the at least one device data;
an analysis module 303, configured to obtain a health analysis result of the device according to the at least one health indicator.
In some other possible embodiments, the analysis module 303 specifically includes:
the calling unit is used for calling at least one preset weight coefficient, wherein the weight coefficient is in one-to-one correspondence with the health index;
and the acquisition unit is used for respectively allocating the health indexes with the corresponding weight coefficients to acquire the health analysis result of the equipment.
In some other possible embodiments, the apparatus 300 further includes:
and the establishing module is used for establishing the equipment database in advance.
In some other possible embodiments, the module is specifically configured to:
defining the at least one device data and a data providing path thereof;
and generating the equipment database according to the at least one piece of equipment data and the data providing way thereof.
In some other possible embodiments, the obtaining module 301 is specifically configured to:
and acquiring the at least one type of data pre-established in the equipment database in real time according to the pre-defined data providing way.
In some other possible embodiments, the apparatus 300 for analyzing the health of the device further includes:
the second acquisition module is used for summing the health analysis results to acquire a final health result;
and the display module is used for displaying the health value at the front end.
It should be noted that, for the information interaction, execution process, and other contents between the above devices/modules, the specific functions and technical effects of the embodiment of the method for analyzing the equipment health are based on the same concept, and specific reference may be made to the section of the embodiment of the method for analyzing the equipment health, which is not described herein again.
It will be clear to those skilled in the art that, for convenience and simplicity of description, the above-mentioned division of the functional modules is merely illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device health analysis apparatus 300 is divided into different functional modules to perform all or part of the above-mentioned functions. Each functional module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional modules are only used for distinguishing one functional module from another, and are not used for limiting the protection scope of the application. The specific working process of each functional module in the above description may refer to the corresponding process in the foregoing embodiment of the method for analyzing device health, and is not described herein again.
Fig. 4 is a schematic structural diagram of an electronic device 400 according to a third embodiment of the present application. As shown in fig. 4, the electronic device 400 includes: a processor 402, a memory 401, and a computer program 403 stored in the memory 401 and executable on the processor 402. The number of the processors 402 is at least one, and fig. 4 takes one as an example. The processor 402 executes the computer program 403 to implement the implementation steps of the above-described method for analyzing the health of the device, i.e., the steps shown in fig. 1 or fig. 2.
The specific implementation process of the electronic device 400 can be referred to the above embodiment of the device health analysis method.
Illustratively, the computer program 403 may be partitioned into one or more modules/units that are stored in the memory 401 and executed by the processor 402 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 403 in the terminal device 400.
The electronic device 400 may be a desktop computer, a notebook, a palm computer, a main control device, or other computing devices, or may be a camera, a mobile phone, or other devices having an image acquisition function and a data processing function, or may be a touch display device. The electronic device 400 may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that fig. 4 is merely an example of an electronic device 400 and does not constitute a limitation of electronic device 400 and may include more or fewer components than shown, or combine certain components, or different components, e.g., electronic device 400 may also include input-output devices, network access devices, buses, etc.
The Processor 402 may be a CPU (Central Processing Unit), other general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 401 may be an internal storage unit of the electronic device 400, such as a hard disk or a memory. The memory 401 may also be an external storage device of the terminal device 400, such as a plug-in hard disk, SMC (Smart Media Card), SD (Secure Digital Card), Flash Card, or the like provided on the electronic device 400. Further, the memory 401 may also include both an internal storage unit and an external storage device of the electronic device 400. The memory 401 is used for storing an operating system, application programs, a boot loader, data, and other programs, such as program codes of the computer program 403. The memory 401 may also be used to temporarily store data that has been output or is to be output.
The present application further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program can implement the steps in the above embodiment of the method for analyzing the health of the device.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the embodiments of the method for analyzing the health of the device described above may be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the embodiments of the method for analyzing the health of the device described above may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, ROM (Read-Only Memory), RAM (Random Access Memory), electrical carrier wave signal, telecommunication signal, and software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc. In certain jurisdictions, computer-readable media may not be an electrical carrier signal or a telecommunications signal in accordance with legislative and patent practice.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A method of analyzing the health of a device, the method comprising:
acquiring at least one type of equipment data in an equipment database;
calculating at least one health indicator of the equipment according to the at least one equipment data;
and calculating the health analysis result of the equipment according to the at least one health index.
2. The method of claim 1, wherein calculating the health analysis result of the device based on the at least one health indicator comprises:
calling at least one preset weight coefficient, wherein the weight coefficient is in one-to-one correspondence with the health index;
and respectively allocating the health indexes with the corresponding weight coefficients to obtain health analysis results of the equipment.
3. The method of claim 1, wherein prior to obtaining at least one device data in the device database, the method further comprises:
and establishing the equipment database in advance.
4. The method of claim 3, wherein pre-building the device database comprises:
defining the at least one device data and a data providing path thereof;
and generating the equipment database according to the at least one piece of equipment data and the data providing way thereof.
5. The method of claim 4, wherein the obtaining at least one device data in a device database comprises:
and acquiring the at least one type of data pre-established in the equipment database in real time according to the pre-defined data providing way.
6. The method of claim 1, wherein after said obtaining a health analysis result of the device based on the at least one health indicator, the method further comprises:
summing the health analysis results to obtain a final health result;
and displaying the health value at the front end.
7. The method according to any one of claims 1 to 6, wherein the at least one device data comprises device management business data, patrol business data and/or routine maintenance data.
8. An apparatus for analyzing the health of a device, the apparatus comprising:
the acquisition module is used for acquiring at least one type of equipment data in an equipment database;
the calculation module is used for calculating at least one health index of the equipment according to the at least one equipment data;
and the analysis module is used for acquiring a health analysis result of the equipment according to the at least one health index.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out a method of analyzing the health of a device according to any one of claims 1 to 7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement a method of analyzing the health of a device as claimed in any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010827128.0A CN112085344A (en) | 2020-08-17 | 2020-08-17 | Equipment health analysis method and device and electronic equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112347144A (en) * | 2021-01-04 | 2021-02-09 | 树根互联技术有限公司 | Service index query method and device and server |
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| CN109697559A (en) * | 2018-12-18 | 2019-04-30 | 新奥数能科技有限公司 | The calculation method and device of energy supplying system health index |
| CN109800139A (en) * | 2018-12-18 | 2019-05-24 | 东软集团股份有限公司 | Server health degree analysis method, device, storage medium and electronic equipment |
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| CN107588937A (en) * | 2017-09-06 | 2018-01-16 | 成都大汇物联科技有限公司 | A kind of hydro-generating Unit equipment health analysis method |
| CN109697559A (en) * | 2018-12-18 | 2019-04-30 | 新奥数能科技有限公司 | The calculation method and device of energy supplying system health index |
| CN109800139A (en) * | 2018-12-18 | 2019-05-24 | 东软集团股份有限公司 | Server health degree analysis method, device, storage medium and electronic equipment |
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| CN112347144A (en) * | 2021-01-04 | 2021-02-09 | 树根互联技术有限公司 | Service index query method and device and server |
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