CN111984862A - Experience feedback data pushing method and device for nuclear power plant business department - Google Patents
Experience feedback data pushing method and device for nuclear power plant business department Download PDFInfo
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- CN111984862A CN111984862A CN202010755304.4A CN202010755304A CN111984862A CN 111984862 A CN111984862 A CN 111984862A CN 202010755304 A CN202010755304 A CN 202010755304A CN 111984862 A CN111984862 A CN 111984862A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9536—Search customisation based on social or collaborative filtering
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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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
Abstract
The invention discloses an experience feedback data pushing method for a nuclear power plant business department, which comprises the following steps: summarizing a basic keyword set of each specialty according to historical data; matching experience feedback data required by professional staff of corresponding professions according to the basic keyword set; and identifying user preference information according to the user interest model, screening the matched experience feedback data, and pushing information for the user. Therefore, the technical scheme that a plurality of experience feedback data are intelligently applied in specific service scenes is achieved, a foundation can be laid for intelligent application of the experience feedback data in each nuclear power plant/technical platform, instant and efficient application of information is achieved, and the working accuracy of field services is improved.
Description
Technical Field
The invention relates to the technical field of equipment management, in particular to an experience feedback data pushing method and device for a nuclear power plant business department.
Background
Experience feedback and knowledge management in the nuclear power field require continuous improvement of timeliness and effectiveness of nuclear power experience information feedback. With the development of big data technology and intelligent analysis technology, the technology of data flow and service flow fusion is gradually mature, so that the requirements of function research and development and intelligent promotion in a specific service scene are more prominent and obvious. Therefore, the intellectualization, the refinement and the high efficiency of the application of the experience feedback data by each service department/technical platform of the nuclear power plant need to be improved, and the timely and accurate information pushing is realized.
Disclosure of Invention
The invention mainly aims to provide an experience feedback data pushing method and system for a nuclear power plant business department.
In order to achieve the above purpose, the present invention provides an experience feedback data pushing method for a nuclear power plant business department, comprising the following steps:
summarizing a basic keyword set of each specialty according to historical data;
matching experience feedback data required by professional staff of corresponding professions according to the basic keyword set; and
and identifying user preference information according to the user interest model, screening the matched experience feedback data, and pushing information for the user.
The experience feedback data pushing method for the nuclear power plant business department provided by the invention further comprises the following steps:
according to daily attention content and access habits of each professional user, obtaining individual data information related to user characteristics, preference or activities, and establishing the user interest model by utilizing an individual search engine theoretical model.
In the experience feedback data pushing method for the nuclear power plant business department, the user interest model is established through a content-based filtering method or a collaborative filtering method.
The experience feedback data pushing method for the nuclear power plant business department provided by the invention further comprises the following steps:
and screening the push information according to the state of the power plant/unit where the user is located.
According to another aspect of the present invention, there is provided an experience feedback data pushing apparatus for a nuclear power plant business department, comprising:
the summarizing module is used for summarizing the basic keyword set of each specialty according to historical data;
the matching module is used for matching the experience feedback data required by the professional corresponding to the basic keyword set; and
and the pushing module is used for identifying user preference information according to the user interest model, screening the matched experience feedback data and pushing information for the user.
The experience feedback data pushing device for the nuclear power plant business department provided by the invention further comprises the following steps:
and the model establishing module is used for acquiring personalized data information related to the characteristics, the preference or the activity of the user according to the daily attention content and the access habit of each professional user and establishing the user interest model by utilizing a personalized search engine theoretical model.
In the experience feedback data pushing device for the nuclear power plant business department, the user interest model is established through a content-based filtering method or a collaborative filtering method.
The experience feedback data pushing device for the nuclear power plant business department provided by the invention further comprises the following steps:
and the screening module is used for screening the push information according to the state of the power plant/unit where the user is located.
According to another aspect of the present invention, there is also provided a server comprising a processor and a memory, said memory storing a computer program that is loadable by said processor and adapted to perform the method as described above.
According to another aspect of the present invention, there is also provided a computer storage medium storing a computer program capable of implementing the method as provided above when executed.
The experience feedback data pushing method and system for the nuclear power plant business department have the following beneficial effects: according to the experience feedback data pushing method for the nuclear power plant business department, relevant data of each specialty are summarized through a history report, and relevant main keywords of each specialty are screened out; and acquiring data information related to user characteristics, preferences or activities according to daily attention content and access habits of each professional, establishing a user interest model by using a personalized search engine theoretical model and a content-based filtering method or a collaborative filtering method, identifying user attention information according to the model, pushing personalized content, and providing a specific operable method for intelligent application of experience feedback data. Therefore, the technical scheme that a plurality of experience feedback data are intelligently applied in specific service scenes is achieved, a foundation can be laid for intelligent application of the experience feedback data in each nuclear power plant/technical platform, instant and efficient application of information is achieved, and the working accuracy of field services is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts:
FIG. 1 is a flow chart illustrating a method for pushing experience feedback data for a nuclear power plant business department according to the present invention;
fig. 2 is a schematic diagram of an experience feedback data pushing device for a nuclear power plant business department according to the present invention.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Exemplary embodiments of the invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
In order to better understand the technical solutions, the technical solutions will be described in detail below with reference to the drawings and the specific embodiments of the specification, and it should be understood that the embodiments and specific features of the embodiments of the present invention are detailed descriptions of the technical solutions of the present application, and are not limited to the technical solutions of the present application, and the technical features of the embodiments and examples of the present invention may be combined with each other without conflict.
Fig. 1 is a flowchart illustrating an experience feedback data pushing method for a nuclear power plant business department according to the present invention. As shown in fig. 1, the method for pushing experience feedback data for a nuclear power plant business department provided by the present invention includes the following steps:
step S1, summarizing a basic keyword set of each specialty according to historical data;
specifically, in an embodiment of the present invention, the basic keyword sets related to operations, machinery, electricity, instrument control, services, chemistry, safety protection, equipment management, overhaul management, engineering, training and other professionally related fields are summarized through 5492 pieces of historical report data, and are used as basic data to represent the subject matter of interest of the user.
Step S2, matching experience feedback data required by professional staff corresponding to the profession according to the basic keyword set;
specifically, in an embodiment of the present invention, about 500 keywords related to each specialty are summarized through historical data, and different keyword sets are used to match the experience feedback information content required by the corresponding professionals.
And step S3, identifying user preference information according to the user interest model, screening the matched experience feedback data, and pushing information for the user.
Specifically, in an embodiment of the present invention, after the experience feedback information is filtered through the keyword set, the push information is further filtered again by identifying the user preference information. The user preference information is screened through a user interest model established by a user in advance. Thus, the method further comprises:
according to daily attention content and access habits of each professional user, obtaining individual data information related to user characteristics, preference or activities, and establishing the user interest model by utilizing an individual search engine theoretical model.
In the invention, the historical attention content of the user is combined, and the method mainly comprises the steps that firstly, the user inputs the query key words of a search engine; page browsed by user; page and data downloaded and stored by the user; and fourthly, related fields and the like manually input by the user are utilized, a user interest model is established through a content-based filtering method or a collaborative filtering method by utilizing a personalized search engine theoretical model, the user attention information fields are optimized according to the model and basic keywords, and personalized contents are accurately pushed.
Further, based on information such as different operation states (heat test, overhaul and the like) of a power plant and a unit where a user is located, the pushed information can be further screened so as to quickly and accurately retrieve all levels of abnormal and information/important activities and professional related events and experiences, the stages where the unit is located when the events occur are classified and matched, the important events related to the operation states of the corresponding power plant are automatically recommended, and therefore the method can be extended to dimensions such as related specialties and activities for pushing, and the information recommendation accuracy is further effectively improved.
According to the experience feedback data pushing method for the nuclear power plant business department, relevant data of each specialty are summarized through a history report, and relevant main keywords of each specialty are screened out; and acquiring data information related to user characteristics, preferences or activities according to daily attention content and access habits of each professional, establishing a user interest model by using a personalized search engine theoretical model and a content-based filtering method or a collaborative filtering method, identifying user attention information according to the model, pushing personalized content, and providing a specific operable method for intelligent application of experience feedback data. Therefore, the technical scheme that a plurality of experience feedback data are intelligently applied in specific service scenes is achieved, a foundation can be laid for intelligent application of the experience feedback data in each nuclear power plant/technical platform, instant and efficient application of information is achieved, and the working accuracy of field services is improved.
Fig. 2 is a schematic diagram of a diesel engine fault prediction system based on a combined neural network provided by the invention. As shown in fig. 2, the system for predicting a fault of a diesel engine based on a combined neural network provided by the present invention includes:
the model establishing module 210 is used for acquiring personalized data information related to user characteristics, preferences or activities according to daily attention content and access habits of each professional user, and establishing the user interest model by utilizing a personalized search engine theoretical model;
specifically, in the invention, the historical attention content of the user is combined, and the method mainly comprises the steps that firstly, the user inputs the query key words of a search engine; page browsed by user; page and data downloaded and stored by the user; and fourthly, related fields and the like manually input by the user are utilized, a user interest model is established through a content-based filtering method or a collaborative filtering method by utilizing a personalized search engine theoretical model, the user attention information fields are optimized according to the model and basic keywords, and personalized contents are accurately pushed.
A summarization module 220 for summarizing each professional basic keyword set according to the historical data;
specifically, in an embodiment of the present invention, the basic keyword sets related to operations, machinery, electricity, instrument control, services, chemistry, safety protection, equipment management, overhaul management, engineering, training and other professionally related fields are summarized through 5492 pieces of historical report data, and are used as basic data to represent the subject matter of interest of the user.
A matching module 230, configured to match experience feedback data required by a professional corresponding to the basic keyword set;
specifically, in an embodiment of the present invention, about 500 keywords related to each specialty are summarized through historical data, and different keyword sets are used to match the experience feedback information content required by the corresponding professionals.
The pushing module 240 is configured to identify user preference information according to the user interest model, and filter the matched experience feedback data to push information for the user.
Specifically, in an embodiment of the present invention, after the experience feedback information is filtered through the keyword set, the push information is further filtered again by identifying the user preference information. The user preference information is screened through a user interest model established by a user in advance.
And the screening module 250 is used for screening the push information according to the state of the power plant/unit where the user is located.
Specifically, in an embodiment of the present invention, based on information such as a power plant where a user is located and different operation states (hot trial, overhaul, and the like) of a unit, the pushed information may be further screened to quickly and accurately retrieve various levels of abnormal and information/important activities and professional related events and experiences, the stage where the unit is located when an event occurs is classified and matched, and the important events related to the operation state of the corresponding power plant are automatically recommended, so that the pushed information can be extended to dimensions such as related specialties, activities, and the like to further effectively improve information recommendation accuracy.
The functions of the functional modules described in the embodiment of the apparatus of the present invention may be specifically implemented according to the method in the embodiment of the method, and the specific implementation process may refer to the description related to the embodiment of the method, which is not described herein again.
It should be noted that the above description of the various modules is divided into these modules for clarity of illustration. However, in actual implementation, the boundaries of the various modules may be fuzzy. For example, any or all of the functional modules herein may share various hardware and/or software elements. Also for example, any and/or all of the functional modules herein may be implemented in whole or in part by a common processor executing software instructions. Additionally, various software sub-modules executed by one or more processors may be shared among the various software modules. Accordingly, the scope of the present invention is not limited by the mandatory boundaries between the various hardware and/or software elements, unless explicitly claimed otherwise.
The embodiment of the invention also provides a server, which comprises a processor and a memory, wherein the memory stores a computer program, and the computer program can be loaded by the processor and executes the method of the second embodiment.
The Processor may be a Central Processing Unit (CPU), or may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like, or a combination of the above chips. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the LED driving pulse modulation method in the embodiments of the present invention. The processor executes various functional applications and data processing of the server by running the non-transitory software programs, instructions and modules stored in the memory, that is, the method for pushing the experience feedback data for the nuclear power plant business department in the above embodiments is implemented.
The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the LED driving pulse modulation device, and the like. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory remotely located from the processor, and these remote memories may be connected over a network to experience feedback data pushing devices for the nuclear plant service department. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory and, when executed by the one or more processors, perform the empirical feedback data push method for a nuclear plant service department as described above.
The product can execute the method provided by the embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For details of the technique not described in detail in the embodiment, reference may be made to the related description in the embodiment shown in fig. 1.
The embodiment of the invention also provides a non-transitory computer storage medium, wherein the computer storage medium stores computer executable instructions which can execute the experience feedback data pushing method for the nuclear power plant business department. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM) > Random Access Memory (RAM) > Flash Memory > Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid-State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes 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 (RAM), or the like.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A method for pushing experience feedback data of a nuclear power plant business department is characterized by comprising the following steps:
summarizing a basic keyword set of each specialty according to historical data;
matching experience feedback data required by professional staff of corresponding professions according to the basic keyword set; and
and identifying user preference information according to the user interest model, screening the matched experience feedback data, and pushing information for the user.
2. The experience feedback data pushing method for the nuclear power plant business segment of claim 1, further comprising:
according to daily attention content and access habits of each professional user, obtaining individual data information related to user characteristics, preference or activities, and establishing the user interest model by utilizing an individual search engine theoretical model.
3. The empirical feedback data push method for nuclear power plant business segment of claim 2, characterized in that the user interest model is established by a content-based filtering method or a collaborative filtering method.
4. The experience feedback data pushing method for the nuclear power plant business segment of claim 1, further comprising:
and screening the push information according to the state of the power plant/unit where the user is located.
5. An experience feedback data pushing device for a nuclear power plant business department, comprising:
the summarizing module is used for summarizing the basic keyword set of each specialty according to historical data;
the matching module is used for matching the experience feedback data required by the professional corresponding to the basic keyword set; and
and the pushing module is used for identifying user preference information according to the user interest model, screening the matched experience feedback data and pushing information for the user.
6. The experience feedback data pushing apparatus for the nuclear power plant business segment of claim 5, further comprising:
and the model establishing module is used for acquiring personalized data information related to the characteristics, the preference or the activity of the user according to the daily attention content and the access habit of each professional user and establishing the user interest model by utilizing a personalized search engine theoretical model.
7. The experience feedback data pushing apparatus for the nuclear power plant business segment of claim 6, wherein the user interest model is established by a content-based filtering method or a collaborative filtering method.
8. The experience feedback data pushing apparatus for the nuclear power plant business segment of claim 5, further comprising:
and the screening module is used for screening the push information according to the state of the power plant/unit where the user is located.
9. A server, characterized in that it comprises a processor and a memory, said memory storing a computer program that can be loaded by said processor and that executes the method according to any of claims 1-4.
10. A computer storage medium storing a computer program capable of implementing the method provided in any one of claims 1 to 4 when executed.
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