CN106372108B - Intelligent pushing method and system for experience feedback data applied to nuclear power design - Google Patents
Intelligent pushing method and system for experience feedback data applied to nuclear power design Download PDFInfo
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- CN106372108B CN106372108B CN201610697376.1A CN201610697376A CN106372108B CN 106372108 B CN106372108 B CN 106372108B CN 201610697376 A CN201610697376 A CN 201610697376A CN 106372108 B CN106372108 B CN 106372108B
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Abstract
The invention discloses an intelligent pushing method and system for experience feedback data applied to nuclear power design, and the method mainly comprises the following steps: acquiring a plurality of pieces of experience feedback data in an experience feedback system; dividing a plurality of pieces of experience feedback data into a plurality of experience feedback data sets according to a predefined similarity rule; classifying users into a plurality of groups according to personal information of the users and design information related to the users; and screening and sorting the plurality of experience feedback data sets according to the group to which the user belongs and a predefined data processing rule, and actively pushing the plurality of experience feedback data sets sorted in the front to the user. The method is characterized in that a binary relation between a user and experience feedback data is established, the experience feedback data which are potentially interesting to the user are mined by utilizing the specific similar relation between personal information and design information of the user and the experience feedback data, targeted recommendation is carried out, and the intelligent pushing of the experience feedback data is realized.
Description
Technical Field
The invention relates to the technical field of data mining, in particular to an experience feedback data mining method applied to nuclear power design, and more particularly to an intelligent pushing method and system of experience feedback data applied to nuclear power design.
Background
The Construction of a nuclear power project is a very complex system project with a large difficulty coefficient, the number of the project operations is hundreds of thousands, and the major and the labor involved in each stage of design (Engineering), purchase (Procurement), Construction (Construction), debugging (Start-up) and the like are various and complex. Due to the complexity of the nuclear power technology, a large amount of good practice or experience summary can be generated in the process of construction and operation of nuclear power project engineering, the information can be applied to subsequent project construction and operation, reference is provided for avoiding similar problems in other nuclear power projects, and the process is experience feedback. The experience feedback data is stored in the experience feedback system, and all formal experience feedback data need to be compiled, approved and approved on the system and archived.
At present, in order to search and utilize the experience feedback data, designers need to log in the system on an equipment platform, and search related data in the experience feedback system through keywords according to own design content and experience, the whole process usually needs to consume a large amount of time, and the finally obtained search result is often unsatisfactory due to the fact that the keywords are difficult to grasp. With the rapid development of nuclear power technology and the continuous construction of nuclear power stations, the accumulated amount of experience feedback data is increased sharply, and the defects of the existing manual retrieval method are increasingly prominent. Therefore, how to make full use of the precious data and how to enable designers to quickly and accurately acquire data required by work becomes a problem to be solved urgently for nuclear power informatization and improvement of the working efficiency of nuclear power design.
Therefore, a new intelligent pushing method and system for experience feedback data applied to nuclear power design are needed to be designed to solve the problems.
Disclosure of Invention
The invention aims to solve the technical problems that in the prior art, the process of manually retrieving experience feedback data of a conventional nuclear power project is long in time consumption and the retrieval result is inaccurate, and provides an intelligent pushing method and system of experience feedback data applied to nuclear power design.
The technical scheme provided by the invention for the technical problem is as follows:
the invention provides an intelligent pushing method of experience feedback data applied to nuclear power design, which comprises the following steps:
acquiring a plurality of pieces of experience feedback data in an experience feedback system;
dividing a plurality of pieces of experience feedback data into a plurality of experience feedback data sets according to a predefined similarity rule;
classifying users into a plurality of groups according to personal information of the users and design information related to the users;
and screening and sorting the plurality of experience feedback data sets according to the group to which the user belongs and a predefined data processing rule, and actively pushing the plurality of experience feedback data sets sorted in the front to the user.
In the intelligent pushing method of experience feedback data applied to nuclear power design provided by the invention, the method comprises the following steps: presenting the sorted set of empirical feedback data in a design flow interface for reference by a user.
In the intelligent pushing method of experience feedback data applied to nuclear power design, provided by the invention, a plurality of experience feedback data in the experience feedback data set presented in a design flow interface are sorted according to a preset sorting rule.
In the intelligent pushing method for experience feedback data applied to nuclear power design, 50 pieces of experience feedback data are presented in a design flow interface.
In the intelligent pushing method of experience feedback data applied to nuclear power design provided by the invention, the method comprises the following steps: the user actively searches by entering keywords in the experience feedback search box.
In the intelligent pushing method of experience feedback data applied to nuclear power design provided by the invention, the experience feedback data comprises the following steps: event category information, title information, project information, unit information, importance level information, and whether or not to feed back information.
In the intelligent pushing method of experience feedback data applied to nuclear power design, the experience feedback data with similar header information, project information and unit information are divided into the same experience feedback data set.
In the intelligent pushing method of experience feedback data applied to nuclear power design provided by the invention, a data processing rule according to which a plurality of experience feedback data sets are sorted is as follows:
preferentially sorting the title information, the project information and the association degree of the unit information and the group where the user is located from high to low;
when the relevancy of the title information, the item information and the unit information is the same as that of the group where the user is located, sorting according to the importance level information;
when the importance level information is the same, sorting according to whether the feedback information is available or not;
and when the feedback information is the same, sequencing according to the event category information.
In the intelligent pushing method of experience feedback data applied to nuclear power design provided by the invention, the experience feedback data further comprises the following steps: event primary key information, title link information, report code information, submitter information, and submission time information.
In the intelligent pushing method of experience feedback data applied to nuclear power design, provided by the invention, the personal information comprises department information and professional information, and the design information comprises design content information, affiliated project information, unit information and equipment information.
The invention also provides an intelligent pushing system for experience feedback data applied to nuclear power design, which comprises the following components:
the data collection module is connected with the experience feedback system through a network and used for acquiring a plurality of pieces of experience feedback data in the experience feedback system;
the data analysis module is connected with the data collection module and is used for dividing the plurality of pieces of experience feedback data into a plurality of experience feedback data sets according to a predefined similarity rule;
the user classification module is connected with the equipment platform and used for classifying designers working on the equipment platform into a plurality of groups according to the personal information of the designers and the design information related to the designers;
and the information screening module is connected with the user classification module, the data analysis module and the equipment platform and used for sorting the plurality of experience feedback data sets according to the group to which the user belongs and a predefined data processing rule, pushing the plurality of experience feedback data sets sorted before to the equipment platform and providing the experience feedback data sets for the reference of the current designer.
In the intelligent pushing system for experience feedback data applied to nuclear power design, the equipment platform is provided with a design flow interface and is used for presenting the sequenced experience feedback data set.
In the intelligent pushing system for experience feedback data applied to nuclear power design, the design flow interface is provided with an experience feedback search box for a user to input keywords for active search.
In the intelligent pushing system of experience feedback data applied to nuclear power design, the experience feedback system is provided with a web service interface, is in network connection with the data collection module and is used for transmitting the experience feedback data to the data collection module in an XML format.
In the intelligent push system for experience feedback data applied to nuclear power design provided by the invention, the experience feedback data comprises: event category information, title information, project information, unit information, importance level information, and whether or not to feed back information.
In the intelligent push system for experience feedback data applied to nuclear power design provided by the invention, the experience feedback data further comprises: event primary key information, title link information, report code information, submitter information, and submission time information.
In the intelligent pushing system for experience feedback data applied to nuclear power design, the personal information comprises department information and professional information, and the design information comprises design content information, affiliated project information, unit information and equipment information.
Compared with the prior art, the intelligent pushing method and system for experience feedback data applied to nuclear power design provided by the invention have the following beneficial effects: firstly, acquiring a plurality of pieces of experience feedback data in an experience feedback system; then dividing the plurality of pieces of experience feedback data into a plurality of experience feedback data sets according to a predefined similarity rule; dividing the users into a plurality of groups according to the personal information of the users and the design information related to the personal information; and finally, sequencing the plurality of experience feedback data sets according to the group to which the user belongs and a predefined data processing rule, and presenting the sequenced experience feedback data sets in a design flow interface. Therefore, experience feedback data of the conventional nuclear power project can be quickly retrieved, accurately classified, accurately screened and orderly presented, the purpose of efficiently and accurately pushing the experience feedback data for designers is achieved, the bottlenecks of slow acquisition and limited utilization of the experience feedback data of the nuclear power project are broken through, and the domestic and foreign blanks in the design process of the nuclear power project are filled. The method and the system enable designers to quickly acquire the required experience feedback data from a large amount of experience feedback data, and save a large amount of retrieval time and energy for the designers. In addition, because the experience feedback data are subjected to relevancy sorting, a reliable basis is provided for the selection of subsequent experience feedback data by a designer.
Drawings
Fig. 1 is a flowchart illustrating steps of an intelligent pushing method for experience feedback data applied to nuclear power design according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an intelligent pushing system for experience feedback data applied to nuclear power design according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of the empirical feedback data according to the first and second embodiments of the present invention.
Detailed description of the embodiments reference is made to the accompanying drawings in which:
| experience feedback system | 100 | Data collection module | 200 |
| Data analysis module | 300 | User classification module | 400 |
| Data screening module | 500 | Equipment platform | 600 |
Detailed Description
In order to solve the technical problems that the process of acquiring experience feedback data is complex and the retrieval efficiency is poor due to the fact that the process of manually retrieving required experience feedback data is longer and longer along with the increasing number of the experience feedback data items in the prior art, the invention aims to provide an intelligent pushing method and system for experience feedback data applied to nuclear power design, which can efficiently and accurately push the experience feedback data for designers, and the core idea is as follows: by establishing a binary relation between the designer and the experience feedback data and utilizing the personal information of the designer and the specific similar relation between the design information and the experience feedback data, the experience feedback data which the designer is potentially interested in is mined, targeted recommendation is carried out, and the intelligent pushing of the experience feedback data is realized. The problems that a manual retrieval method in the prior art is long in time consumption and poor in efficiency are solved, and a large amount of retrieval time and energy are saved for designers, so that the working efficiency of the designers is effectively improved, and nuclear power projects are promoted to be developed more safely and rapidly.
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
Example one
The embodiment provides an intelligent pushing method for experience feedback data applied to nuclear power design, and with reference to fig. 1, the method includes:
in step S1, a plurality of pieces of experience feedback data in the experience feedback system 100 are acquired.
In this embodiment, the data collection module 200 is connected to the experience feedback system 100 via a webservice interface, and the experience feedback data is collected by the data collection module 200 in an XML format.
The experience feedback system 100 is a management system which is approved by the company quality and protection department and stores the company nuclear power experience feedback data, and all formal experience feedback needs to be compiled, approved and approved on the system and archived.
The experience feedback data refers to good practices or experience summaries generated in the project construction process and the operation management activities.
Considering that the title of the experience feedback data generally presents key information of the text, in order to save subsequent analysis time on the premise of ensuring the pushing effect, the data collection module 200 collects other key fields of the experience feedback data except the text, referring to fig. 3, each piece of experience feedback data is composed of event category information, title information, project information, unit information, importance level information, whether feedback information, event main key information, title link information, report coding information, submitter information, and submission time information.
Step S2, dividing the plurality of pieces of empirical feedback data into a plurality of empirical feedback data sets according to predefined similarity rules.
In this embodiment, a data analysis module 300 is connected to the data collection module 200, and the data analysis module 300 obtains a plurality of pieces of the empirical feedback data and divides the empirical feedback data into a plurality of empirical feedback data sets according to predefined similarity rules in an off-line state.
The similarity rule is determined according to the application condition of data through communication with designers, and the experience feedback data with similar header information, project information and unit information are divided into the same experience feedback data set according to the similarity rule, so that the relation among a plurality of pieces of experience feedback data is determined in advance, and a large amount of experience feedback data does not need to be screened one by one in the subsequent information screening process, thereby saving a large amount of time.
Step S3, the designer is divided into a plurality of groups according to the designer' S personal information and design information related thereto.
In this embodiment, the user classification module 400 is connected to an equipment platform 600 in which personal information and design information of company designers are recorded, and the user classification module 400 classifies the designers into a plurality of groups according to the personal information and the design information of the designers.
The personal information comprises department information and professional information, and the design information comprises design content information, affiliated project information, unit information and equipment information. Using the information, the designers are classified by using a similarity formula, and the designers with similar personal information and design information are divided into the same group. Specifically, if a plurality of designers perform the same equipment design work and have the same profession in the same department of the company, their work contents are substantially the same and are classified into the same group. For example, designer a and designer B are both co-workers in the mechanics profession of the nuclear island system engaged in pipeline mechanics research, and they would be grouped into the same group by clustering.
And step S4, screening and sorting the experience feedback data sets according to the group to which the designer belongs and the predefined data processing rule.
In this embodiment, the information filtering module 500 is connected to the user classifying module 400 and the data analyzing module 300, and the information filtering module 500 may filter and sort the plurality of experience feedback data sets according to the group to which the designer belongs and the predefined data processing rule.
First, in an off-line state, the information filtering module 500 establishes a relationship between each group and the experience feedback data set associated with the group. Specifically, a relationship is established between the group and an experience feedback data set to which experience feedback data including header information, project information, and unit information similar to personal information and design information of designers included in the group belongs.
Then, the information filtering module 500 sorts the offline experience feedback data sets with established relationships according to predefined data processing rules. Wherein the data processing rule is as follows:
and sequencing according to the sequence of the relevance of the header information, the project information and the unit information to the group where the designer is located from high to low.
The keywords of the header information often include main information such as equipment and event content related to experience feedback data, and have a high design reference value. In addition, experience feedback reference values between nuclear power technology routes with similar project information and unit information are the largest, for example, the red riverside 1 and No. 2 units of the CPR1000 technology have great reference values to the Yangjiang river 1 and No. 2 units.
Finally, the information filtering module 500 sorts the plurality of pieces of experience feedback data in the experience feedback data set according to a preset sorting rule. Wherein the ordering rule is:
1) and sorting according to the importance level information.
The higher the importance level, the more forward the ranking.
2) And when the importance level information is the same, sorting according to whether the feedback information is available or not.
The screened empirical feedback data needing feedback has higher reference value than the non-screened empirical feedback data, so the ranking is more advanced. The proportion of the non-screened empirical feedback data in the whole empirical feedback data is small.
3) And when the feedback information is the same, sequencing according to the event category information.
The event category mainly includes security events, technical events, and the like, and in this embodiment, the event category information is that the ranking of the security events is advanced.
Step S5, connecting the information filtering module 500 with an equipment platform 600 having a design process interface, and displaying the sorted experience feedback data set in the design process interface.
In this embodiment, when a designer logs in the device platform 600, the information screening module 500 transmits the experience feedback data sets that have established relationships with the group to which the designer belongs and have been arranged according to the data processing rule to the device platform 600 according to the group to which the designer belongs, and then presents the experience feedback data sets that have established relationships with the group to which the designer belongs in a bit order in the design flow interface of the device platform 600. In addition, in the embodiment, only the experience feedback data of the top-ranking 50 is listed in the design flow interface, so that the most helpful experience knowledge for the design work of the designer is left, and the targeted information push is realized.
In step S6, the designer actively searches by entering keywords in the experience feedback search box.
The designer sometimes needs to manually find itself, considering that not all pushed content can meet the needs of the designer. Active searching is necessary especially when the designer's requirements are clear and there are no relevant items in the pushed list. Therefore, in the embodiment, when the designer is not satisfied with the actively pushed experience feedback data, the designer can actively and purposefully search by using the experience feedback search box.
Example two
The embodiment provides an intelligent pushing system for experience feedback data applied to nuclear power design, which is suitable for an intelligent pushing method for experience feedback data applied to nuclear power design in the embodiment, and referring to fig. 2, the system includes:
the data collection module 200 is connected to the experience feedback system 100 through a network, and is configured to obtain a plurality of pieces of experience feedback data in the experience feedback system 100;
the data analysis module 300 is connected to the data collection module 200, and is configured to divide the plurality of pieces of experience feedback data into a plurality of experience feedback data sets according to a predefined similarity rule;
a user classification module 400 connected to the device platform 600 for classifying the designer into a plurality of groups according to the designer's personal information and design information related thereto;
the information filtering module 500 is connected to the user classifying module 400 and the data analyzing module 300, and configured to filter and sort the experience feedback data sets according to the group to which the designer belongs and a predefined data processing rule, and the information filtering module 500 is further connected to the device platform 600, and configured to present the sorted experience feedback data sets.
Specifically, the experience feedback system 100 has a webservice interface, and the data collection module 200 is connected to the experience feedback system 100 through the webservice interface, so that, in this embodiment, the experience feedback data is transmitted to the data collection module 200 in an XML format.
It should be noted that the experience feedback system 100 is a management system that is approved by the company warranty department and stores the experience feedback data of the nuclear power of the company, and all formal experience feedbacks need to be compiled, approved, and archived on the system. The experience feedback data refers to good practices or experience summaries generated in the project construction process and the operation management activities.
In this embodiment, considering that the title of the experience feedback data generally presents key information of a text, and in order to save analysis time of the subsequent data analysis module 300 on the premise of ensuring the pushing effect, the data collection module 200 collects other key fields except the text in the experience feedback data, referring to fig. 3, each piece of experience feedback data is composed of event category information, title information, project information, unit information, importance level information, whether feedback information, event primary key information, title link information, report encoding information, submitter information, and submission time information.
Specifically, the data analysis module 300 receives the empirical feedback data from the data collection module 200, and then divides the plurality of empirical feedback data into a plurality of empirical feedback data sets according to predefined similarity rules.
In this embodiment, the similarity rule is determined by communicating with a designer according to an application condition of data, and the experience feedback data similar to the header information, the project information, and the unit information is divided into the same experience feedback data set according to the similarity rule, so that a relationship among a plurality of pieces of experience feedback data is determined in advance, and a large amount of experience feedback data does not need to be screened one by one in a subsequent information screening process, thereby saving a large amount of time for the information screening module 500.
Specifically, the user classification module 400 is connected to the device platform 600, and an administrator of the device platform 600 enters personal information and design information of a company designer into the device platform 600. The user classification module 400 may classify designers into a plurality of groups according to their personal information and design information associated therewith.
It should be noted that the device platform 600 is a management platform for standardizing services to design flows during the design process of the device specialties. Designers can complete their design analysis tasks, including task receipt, development and submission, through the relevant design flows on the device platform 600.
In this embodiment, the personal information includes department information and professional information, and the design information includes design content information, belonging item information, unit information, and device information. Thus, designers of the same profession and doing the same equipment design work under the same division of a company will be grouped in the same group. For example, designer a and designer B are both co-workers in the mechanics profession of the nuclear island system engaged in pipeline mechanics research, and they would be grouped into the same group by clustering.
Specifically, the information filtering module 500 is connected to the user classification module 400, the data analysis module 300 and the device platform 600 at the same time. The device platform 600 has a design flow interface for presenting the sorted experience feedback data sets and an experience feedback search box for a user to enter keywords for active search.
In this embodiment, the information filtering module 500 first establishes a relationship between each group and the experience feedback data set related to the group in an offline state. In detail, the relationship is established between the group and the experience feedback data set to which the experience feedback data, in which the header information, the project information, and the unit information are similar to the personal information and the design information of the designer included in the group. Then, the information filtering module 500 sorts the offline experience feedback data sets with established relationships according to predefined data processing rules. Finally, the information filtering module 500 sorts the plurality of pieces of experience feedback data in the experience feedback data set according to a preset sorting rule.
Wherein the data processing rule is as follows:
and sequencing according to the sequence of the relevance of the header information, the project information and the unit information to the group where the designer is located from high to low.
The keywords of the header information often include main information such as equipment and event content related to experience feedback data, and have a high design reference value. In addition, experience feedback reference values between nuclear power technology routes with similar project information and unit information are the largest, for example, the red riverside 1 and No. 2 units of the CPR1000 technology have great reference values to the Yangjiang river 1 and No. 2 units.
Wherein the ordering rule is:
1) and sorting according to the importance level information.
The higher the importance level, the more forward the ranking.
2) And when the importance level information is the same, sorting according to whether the feedback information is available or not.
The screened empirical feedback data needing feedback has higher reference value than the non-screened empirical feedback data, so the ranking is more advanced. The proportion of the non-screened empirical feedback data in the whole empirical feedback data is small.
3) And when the feedback information is the same, sequencing according to the event category information.
The event category mainly includes security events, technical events, and the like, and in this embodiment, the event category information is that the ranking of the security events is advanced.
In this embodiment, when a designer logs in the device platform 600, the information screening module 500 transmits the experience feedback data sets that have established relationships with the group to which the designer belongs and have been arranged according to the data processing rule to the device platform 600 according to the group to which the designer belongs, and then presents the experience feedback data sets that have established relationships with the group to which the designer belongs in a bit order in the design flow interface of the device platform 600. In addition, only the experience feedback data of the front ranking 50 is listed in the design flow interface, so that the most helpful experience knowledge for the design work of the designer is left, and the targeted information push is realized.
In this embodiment, when the designer is unsatisfied with the experience feedback data intelligently pushed to the design flow interface by the system, the designer may input keywords in the experience feedback search box to perform active and purposeful search.
In summary, the intelligent pushing method and system for experience feedback data applied to nuclear power design provided by the invention have the following beneficial effects:
1. by establishing a binary relation between the designer and the experience feedback data and utilizing the personal information of the designer and the specific similar relation between the design information and the experience feedback data, the experience feedback data which the designer is potentially interested in is mined, targeted recommendation is carried out, and the intelligent pushing of the experience feedback data is realized. The problems that a manual retrieval method in the prior art is long in time consumption and poor in efficiency are solved, and a large amount of retrieval time and energy are saved for designers, so that the working efficiency of the designers is effectively improved, and nuclear power projects are promoted to be developed more safely and rapidly.
2. The data collection module 200 collects other key fields in the experience feedback data except the text: event category information, title information, project information, unit information, importance level information, whether to feed back information, event home key information, title link information, report encoding information, submitter information, and submission time information. The analysis time of the subsequent data analysis module 300 is saved on the premise of ensuring the pushing effect.
3. The data analysis module 300 divides the experience feedback data similar to the header information, the project information and the unit information into the same experience feedback data set according to the similarity rule, thereby determining the relationship among a plurality of experience feedback data in advance, and in the subsequent screening process, a large amount of experience feedback data does not need to be screened one by one, thereby saving a large amount of time for the information screening module 500.
4. The information screening module 500 transmits the experience feedback data sets that have been established with the group according to the group to which the designer belongs and have been arranged in order according to the data processing rule to the device platform 600, and then presents the experience feedback data sets that have been established with the group to which the designer belongs in order of bit in the design flow interface of the device platform 600. Therefore, the most helpful experience knowledge for the design work of the designer is kept, and targeted information push is realized.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (11)
1. An intelligent pushing method of experience feedback data applied to nuclear power design is characterized by comprising the following steps:
acquiring a plurality of pieces of experience feedback data in an experience feedback system;
dividing a plurality of pieces of experience feedback data into a plurality of experience feedback data sets according to a predefined similarity rule;
classifying users into a plurality of groups according to personal information of the users and design information related to the users;
screening and sorting the plurality of experience feedback data sets according to the group to which the user belongs and a predefined data processing rule, and actively pushing the plurality of experience feedback data sets sorted in the front to the user;
the method comprises the following steps: a user actively searches by inputting keywords in an experience feedback search box;
the empirical feedback data comprises: event category information, title information, project information, unit information, importance level information and whether to feed back information; the experience feedback data similar to the header information, the project information and the unit information are divided into the same experience feedback data set;
the data processing rules according to which the plurality of empirical feedback data sets are sorted are as follows:
preferentially sorting the title information, the project information and the association degree of the unit information and the group where the user is located from high to low;
when the relevancy of the title information, the item information and the unit information is the same as that of the group where the user is located, sorting according to the importance level information;
when the importance level information is the same, sorting according to whether the feedback information is available or not;
and when the feedback information is the same, sequencing according to the event category information.
2. The intelligent pushing method applied to experience feedback data of nuclear power design according to claim 1, is characterized by comprising the following steps: presenting the sorted set of empirical feedback data in a design flow interface for reference by a user.
3. The intelligent pushing method for experience feedback data applied to nuclear power design according to claim 2, wherein a plurality of experience feedback data in the experience feedback data set presented in a design flow interface are sorted according to a preset sorting rule.
4. The intelligent pushing method for experience feedback data applied to nuclear power design according to claim 2, wherein 50 pieces of experience feedback data are presented in the design flow interface.
5. The intelligent pushing method for the experience feedback data applied to the nuclear power design, according to claim 1, is characterized in that the experience feedback data further comprises: event primary key information, title link information, report code information, submitter information, and submission time information.
6. The intelligent pushing method for experience feedback data applied to nuclear power design according to claim 1, wherein the personal information includes department information and professional information, and the design information includes design content information, affiliated project information, unit information and equipment information.
7. The utility model provides an intelligence push system for experience feedback data of nuclear power design which characterized in that includes:
the data collection module is connected with the experience feedback system through a network and used for acquiring a plurality of pieces of experience feedback data in the experience feedback system;
the data analysis module is connected with the data collection module and is used for dividing the plurality of pieces of experience feedback data into a plurality of experience feedback data sets according to a predefined similarity rule;
the user classification module is connected with the equipment platform and used for classifying designers working on the equipment platform into a plurality of groups according to the personal information of the designers and the design information related to the designers;
the information screening module is connected with the user classification module, the data analysis module and the equipment platform and used for sorting the plurality of experience feedback data sets according to the group to which the user belongs and a predefined data processing rule, pushing the plurality of experience feedback data sets sorted before to the equipment platform and providing the experience feedback data sets for the reference of the current designer;
the equipment platform is provided with a design process interface, and the design process interface is provided with an experience feedback search box for a user to input keywords for active search;
the empirical feedback data comprises: event category information, title information, project information, unit information, importance level information and whether to feed back information; the experience feedback data similar to the header information, the project information and the unit information are divided into the same experience feedback data set;
the data processing rules according to which the plurality of empirical feedback data sets are sorted are as follows:
preferentially sorting the title information, the project information and the association degree of the unit information and the group where the user is located from high to low;
when the relevancy of the title information, the item information and the unit information is the same as that of the group where the user is located, sorting according to the importance level information;
when the importance level information is the same, sorting according to whether the feedback information is available or not;
and when the feedback information is the same, sequencing according to the event category information.
8. The intelligent pushing system for experience feedback data applied to nuclear power design according to claim 7, wherein the design process interface is further configured to present the sorted experience feedback data sets.
9. The intelligent pushing system for experience feedback data applied to nuclear power design according to claim 7, wherein the experience feedback system has a web service interface, is in network connection with the data collection module, and is configured to transmit the experience feedback data to the data collection module in an XML format.
10. The intelligent pushing system of experience feedback data applied to nuclear power design according to claim 7, wherein the experience feedback data further comprises: event primary key information, title link information, report code information, submitter information, and submission time information.
11. The intelligent pushing system for experience feedback data applied to nuclear power design according to claim 7, wherein the personal information includes department information and professional information, and the design information includes design content information, affiliated project information, unit information and equipment information.
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| CN110968784B (en) * | 2019-11-26 | 2023-04-07 | 廊坊新奥燃气有限公司 | Experience feedback system and method |
| CN111984862A (en) * | 2020-07-30 | 2020-11-24 | 苏州热工研究院有限公司 | Experience feedback data pushing method and device for nuclear power plant business department |
| CN111833676A (en) * | 2020-08-05 | 2020-10-27 | 北京育宝科技有限公司 | Interactive learning auxiliary method, device and system |
| CN114462736A (en) * | 2020-11-09 | 2022-05-10 | 中核核电运行管理有限公司 | Experience feedback intelligent recommendation method for nuclear power plant radiation work license application |
| CN113064924A (en) * | 2021-03-12 | 2021-07-02 | 中核核电运行管理有限公司 | Nuclear power big data experience retrieval and pushing method |
| CN114996321A (en) * | 2022-08-08 | 2022-09-02 | 太平金融科技服务(上海)有限公司深圳分公司 | Data acquisition method and device, computer equipment and storage medium |
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Effective date of registration: 20181226 Address after: 518124 Office Building of Daya Bay Nuclear Power Base Engineering Company, Pengfei Road, Dapeng New District, Shenzhen City, Guangdong Province Applicant after: China Nuclear Power Engineering Co., Ltd. Applicant after: Shenzhen China Nuclear Power Design Co., Ltd. Applicant after: China General Nuclear Power Corporation Address before: 518124 Office Building of Daya Bay Nuclear Power Base Engineering Company, Pengfei Road, Dapeng New District, Shenzhen City, Guangdong Province Applicant before: China Nuclear Power Engineering Co., Ltd. Applicant before: China General Nuclear Power Corporation |
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