CN112487513A - Method, device and system for design scheme drawing integration optimization - Google Patents
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Abstract
The embodiment of the invention discloses a method, a device and a system for design scheme drawing integration and optimization. The method for design scheme drawing integration optimization includes: storing M drawn drawings into a database, wherein M is more than or equal to 2; acquiring parameter information of a target drawing input by a user; respectively calculating similarity values of the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database according to the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database to obtain M similarity values; and recommending the drawn drawings meeting preset conditions in the M similarity values to a user. By the method, the design drawing scheme which is the same as or similar to the target drawing of the user can be automatically recommended to the user according to the parameter information of the target drawing input by the user, so that the efficiency is improved. The method solves the problems of unsatisfactory searching and comparing results and time consumption of the existing manual searching and comparing method.
Description
Technical Field
The embodiment of the invention relates to the technical field of intelligence, in particular to a method, a device and a system for design scheme drawing integration optimization.
Background
With the popularization and commercialization of the internet, when a large number of design schemes and data are applied to business occasions, only the design schemes and the data are integrated and optimized and the optimized schemes are recommended to users, so that the operating efficiency of business operation can be improved.
However, in the current business scenario, users typically need to browse and browse through a large number of design solutions on a computer, and then find a suitable design solution through manual comparison. The design schemes often obtained do not all meet the design requirements, and the whole searching process is time-consuming.
Disclosure of Invention
The invention provides a method, a device and a system for design scheme drawing integration and optimization, which are used for automatically recommending a design drawing scheme which is the same as or similar to a user target drawing to a user according to parameter information of the target drawing input by the user, and improving the efficiency.
In a first aspect, embodiments of the present invention provide a method for design solution drawing integration optimization,
the method comprises the following steps:
storing M drawn drawings into a database, wherein M is more than or equal to 2;
acquiring parameter information of a target drawing input by a user;
respectively calculating similarity values of the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database according to the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database to obtain M similarity values;
recommending the drawn drawings meeting preset conditions in the M similarity values to a user.
Optionally, the recommending, to the user, the drawn drawing that satisfies the preset condition in the M similarity values includes:
taking all drawn drawings of which the similarity values meet preset similarity values in the M similarity values as alternative drawings;
and recommending the drawn drawing with the highest similarity value in the alternative drawings to a user as a target drawing.
Optionally, the preset similarity value is greater than or equal to 90%.
Optionally, the parameter information of the target drawing input by the user includes N parameter features, where N is greater than or equal to 1;
the method for calculating the similarity value between the parameter information of the target drawing input by the user and the parameter information of each drawn drawing comprises the following steps:
s1: respectively calculating the similarity value of each parameter feature of a target drawing input by a user and the parameter information of a drawn drawing to obtain N similarity values;
s2: weighting and averaging the N similarity values to obtain a similarity value between a target drawing input by a user and a drawn drawing;
and according to the steps S1-S2, calculating the similarity values of the target drawing input by the user and the M drawn drawings respectively to obtain M similarity values.
Optionally, the parameter feature includes at least one of a device number, a device model, device size information, and a device specification.
Optionally, before storing the M drawn drawings in the database, the method further includes:
and identifying and optimizing the drawn drawing.
Optionally, after the acquiring parameter information of the target drawing input by the user, the method further includes:
and performing noise reduction processing on the parameter information of the target drawing input by the user.
Optionally, after the acquiring parameter information of the target drawing input by the user, the method further includes:
and carrying out normalization processing on the parameter information of the target drawing input by the user.
In a second aspect, an embodiment of the present invention further provides a design solution drawing integration optimization device, where the device includes:
the parameter information acquisition module is used for acquiring the parameter information of the target drawing input by a user;
the calculation module is used for respectively calculating the similarity value between the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database according to the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database to obtain M similarity values;
and the drawing recommendation module is used for recommending the drawn drawing meeting the preset conditions in the M similarity values to a user.
In a third aspect, an embodiment of the present invention further provides a design solution drawing integration optimization system, where the system includes:
the display is used for displaying the page for the design scheme drawing integration optimizing system;
a processor for processing the method for design drawing integration optimization according to the first aspect.
The invention provides a method for design scheme drawing integration optimization, which comprises the following steps: storing M drawn drawings into a database, wherein M is more than or equal to 2; acquiring parameter information of a target drawing input by a user; respectively calculating similarity values of the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database according to the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database to obtain M similarity values; and recommending the drawn drawings meeting preset conditions in the M similarity values to a user. By the method, the design drawing scheme which is the same as or similar to the target drawing of the user can be automatically recommended to the user according to the parameter information of the target drawing input by the user, so that the efficiency is improved. The method solves the problems of unsatisfactory searching and comparing results and time consumption of the existing manual searching and comparing method.
Drawings
FIG. 1 is a method for design solution drawing integration optimization according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a similarity value calculation method according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of a design drawing integration optimization according to a second embodiment of the present invention;
FIG. 4 is a block diagram of a design drawing integration optimization device according to a third embodiment of the present invention;
FIG. 5 is a diagram of a user interface for integrating push optimization according to a third embodiment of the present invention;
fig. 6 is a schematic structural diagram of a design drawing integration optimization system according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for design scheme drawing integration optimization provided in an embodiment of the present invention, where this embodiment is applicable to an implementation process of the method for design scheme drawing integration optimization, and the method may be executed by the device for design scheme drawing integration optimization described in the embodiment of the present invention, with reference to fig. 1, and specifically includes the following steps:
and 110, storing the M drawn drawings into a database, wherein M is more than or equal to 2.
Specifically, the drawn drawing may be derived from a design drawing provided by a drawing designer, a design gallery, a shared drawing website, and the like. The drawing types include, but are not limited to, electrical diagram schematic diagrams, component diagrams, device structure diagrams, and the like. The drawn drawings of multiple types and a large quantity are stored in the database as much as possible, so that when a user searches for a required target drawing, the system can recommend a design drawing required by the user to the user as much as possible according to the wide database.
It should be noted that the types and the number of the drawings drawn in the database are increasing along with the accumulation, and are not limited to M.
And step 120, acquiring parameter information of the target drawing input by the user.
The parameter information of the target drawing can be a keyword of the target drawing input by a user. For example, when the target drawing required by the user is a structure diagram of a device, the parameter information may be keywords such as a name of the device, a classification number of the device, and the like.
Specifically, when the user wants to search for a desired target drawing, the user only needs to input parameter information related to the target drawing. The system acquires the parameter information of the target drawing input by the user and recommends the target drawing for the user according to the parameter information input by the user.
And step 130, respectively calculating similarity values of the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database according to the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database to obtain M similarity values.
Specifically, when parameter information of a target drawing input by a user is acquired, the parameter information of the target drawing input by the user is acquired, and the parameter information of the target drawing input by the user is compared with the parameter information of each drawn drawing in the database, for example, similarity values of the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database are respectively calculated, and then the similarity between each drawn drawing in the database and the target drawing required by the user is judged according to the similarity values. The similarity between the parameter information of the target drawing input by the user and the parameter information of the drawn drawing in the database is larger, and the similarity between the drawn drawing and the target drawing is also larger.
And step 140, recommending the drawn drawings meeting the preset conditions in the M similarity values to a user.
For example, the preset condition may be that the similarity value is greater than or equal to 90%, all the drawn drawings with the similarity value greater than or equal to 90% are recommended to the user, and when the number of the drawn drawings with the similarity value greater than or equal to 90% is more than one, the drawn drawing with the largest similarity value may be pushed to the user.
In the technical solution of this embodiment, the working principle of the method for design solution drawing integration optimization: firstly, storing M drawn drawings in a database, wherein M is more than or equal to 2; when a user inputs the parameter information of a target drawing, acquiring the parameter information of the target drawing input by the user; then, according to the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database, respectively calculating the similarity value of the parameter information of the target drawing input by the user and the parameter information of each drawn drawing to obtain M similarity values; recommending the drawn drawing meeting the preset conditions in the obtained M similarity values to a user. Therefore, when a user searches a target drawing, only the parameter information of the target drawing needs to be input, the system recommends the drawn drawing corresponding to the similarity value meeting the preset condition to the user as the target drawing by calculating the similarity value between the parameter information of the drawn drawing and the parameter information of the target drawing in the database according to the parameter information of the target drawing input by the user, so that a design drawing scheme which is the same as or similar to the target drawing of the user is automatically recommended to the user, the defects of manual selection can be avoided, and the efficiency is improved.
The technical scheme of the embodiment provides a method for design scheme drawing integration optimization, which comprises the following steps: storing M drawn drawings into a database, wherein M is more than or equal to 2; acquiring parameter information of a target drawing input by a user; respectively calculating similarity values of the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database according to the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database to obtain M similarity values; and recommending the drawn drawings meeting preset conditions in the M similarity values to a user. By the method, the design drawing scheme which is the same as or similar to the target drawing of the user can be automatically recommended to the user according to the parameter information of the target drawing input by the user, so that the efficiency is improved. The method solves the problems of unsatisfactory searching and comparing results and time consumption of the existing manual searching and comparing method.
Example two
Fig. 2 is a flowchart of a similarity value calculation method provided in the second embodiment of the present invention, and fig. 3 is a schematic diagram of design scheme drawing integration optimization provided in the second embodiment of the present invention. On the basis of the embodiment, optionally, the parameter information of the target drawing input by the user comprises N parameter characteristics, wherein N is more than or equal to 1; referring to fig. 2, the method for calculating the similarity value between the parameter information of the target drawing inputted by the user and the parameter information of each drawn drawing includes the following steps:
and step 133, calculating similarity values of the target drawing input by the user and the M drawn drawings respectively according to the steps S1-S2 to obtain M similarity values.
When searching for a target drawing, a user may input a plurality of parameter information of the target drawing, for example, a plurality of keywords. Therefore, when the similarity degree between the target drawing and each drawn drawing is judged, the similarity value between each parameter information of the target drawing and the parameter information of the drawn drawing needs to be calculated respectively, then the calculated similarity value of each parameter information is weighted and averaged to obtain the similarity value between the target drawing and the drawn drawing, according to the method, the similarity values between the target drawing and the M drawn drawings are calculated in sequence to obtain M similarity values, and finally the drawn drawings meeting preset conditions in the M similarity values are recommended to a user.
Optionally, the parameter feature includes at least one of a device number, a device model, device size information, and a device specification.
The parameter characteristics can also include names of electrical components, system use names, types of relevant electrical appliances and the like corresponding to the system database, and the like.
It should be noted that, when parameter information of a target drawing input by a user is acquired, whether to calculate similarity between all drawn drawings in the database and the target drawing may be determined according to the specifically input parameter information. For example, when the parameter information input by the user is the device model and the device name of a certain device, only the drawn drawings of the same or similar device name and type in the database may be compared with the target drawing and the similarity value may be calculated, and it is not necessary to compare all the drawn drawings in the database and calculate the similarity value, thereby increasing the calculation speed and improving the efficiency.
Optionally, recommending the drawn drawing meeting the preset condition in the M similarity values to the user, including:
taking all drawn drawings of which the similarity values meet preset similarity values in the M similarity values as alternative drawings;
and recommending the drawn drawing with the highest similarity value in the alternative drawings to the user as a target drawing.
And if the number of the drawn drawings meeting the preset similarity value is possibly more than one, all the drawn drawings meeting the preset similarity value in the M similarity values are used as alternatives and are all pushed to the user, and the drawn drawing with the highest similarity value in the alternatives is recommended to the user as the optimal alternative. The user can select the target drawing from the optimal scheme and the alternative scheme according to the requirement of the user.
In addition, if the number of the drawn drawings meeting the preset similarity value is zero, the drawn drawing with the maximum value in the M similarity values can be recommended to the user.
Specifically, referring to fig. 3, a user inputs parameter information of a target drawing, a drawn drawing which is selected by the user as the target drawing is used as selected scheme data, parameter characteristics of a selected scheme are listed, a scheme characteristic model is made, and a user characteristic model is made by combining the parameter information input by the user and the scheme characteristic model of the selected scheme; and taking other drawn drawings which are not selected by the user in the alternative schemes as the alternative schemes, listing the parameter characteristics of the alternative schemes and making scheme characteristic models. After the selected scheme parameter features and the unselected scheme parameter features, namely the system matches with the input parameter information of the user, the feature models are compared according to a collaborative filtering algorithm, then the similarity ranking is carried out, the models in the first three of the bit series, namely the design schemes, are pushed to the user, the models in the first three can contain only the schemes selected by the system, and can also contain the schemes selected by the system and the unselected schemes, namely only one selected scheme is provided, and the unselected schemes can be used for reference.
Optionally, the preset similarity value is greater than or equal to 90%.
It should be noted that the value range and the specific numerical value of the preset similarity value may be set according to actual situations, and are not specifically limited herein.
Optionally, before storing the M drawn drawings in the database, the method further includes:
and identifying and optimizing the drawn drawing.
Before the drawn drawing is stored in the database, keywords of the drawn drawing are identified through scanning so as to optimize scheme information; for example: the voltage data in the drawing file and key parameters such as a transformer substation of line equipment and the like are properly modified and the graph is edited, so that the data parameters are more accurate, and the equipment and the line are more reasonably placed.
Optionally, after acquiring the parameter information of the target drawing input by the user, the method further includes:
and performing noise reduction processing on the parameter information of the target drawing input by the user.
After acquiring the parameter information of the target drawing input by the user, the system needs to perform simple preprocessing on the data, for example, noise reduction processing. The user behavior data is generated in the application using process of the user, a large amount of noise and misoperation of the user can exist, and the noise in the behavior data can be filtered out through a classical data mining algorithm.
Optionally, after acquiring the parameter information of the target drawing input by the user, the method further includes:
and carrying out normalization processing on the parameter information of the target drawing input by the user.
After acquiring the parameter information of the target drawing input by the user, the system also needs to simply pre-process the data, for example, normalize the data. When the user selects the parameter information of the target drawing under different conditions, different behavior data need to be weighted. The grouping or weighting process may be selected according to behavior analysis methods of different applications.
EXAMPLE III
Fig. 4 is a block diagram of a design drawing integration optimization device provided in the third embodiment of the present invention, and fig. 5 is a schematic diagram of a user interface for integration optimization provided in the third embodiment of the present invention. Referring to fig. 4, the drawing integration optimization device 101 for design solution includes:
the parameter information acquisition module 10, the parameter information acquisition module 10 is used for acquiring the parameter information of the target drawing inputted by the user;
the calculation module 20 is configured to calculate similarity values between the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database respectively according to the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database, so as to obtain M similarity values;
the drawing recommendation module 30 is configured to recommend the drawn drawing meeting the preset condition in the M similarity values to the user.
Exemplarily, referring to fig. 5, the parameter information of the target drawing input by the user is displayed through the user interface; the data information and the scheme data of the drawn drawing in the database arranged by the scheme drawing integration and optimization pushing device can be displayed through a user interface; the device calculates the similarity value of the target drawing and the drawn drawing according to the data presented by the user interface and the user installation data, and makes scheme prediction according to the calculation result, and the scheme prediction can be presented to the user through the user interface, so that the user can conveniently select the scheme.
In the technical solution of this embodiment, by providing a design plan drawing integration optimization device, the device includes: the parameter information acquisition module is used for acquiring the parameter information of the target drawing input by the user; the calculation module is used for calculating the similarity value between the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database respectively according to the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database to obtain M similarity values; and the drawing recommendation module is used for recommending the drawn drawings meeting the preset conditions in the M similarity values to the user. By the device, the design drawing scheme which is the same as or similar to the target drawing of the user can be automatically recommended to the user according to the parameter information of the target drawing input by the user, so that the efficiency is improved. The method solves the problems of unsatisfactory searching and comparing results and time consumption of the existing manual searching and comparing method.
Example four
Fig. 6 is a schematic structural diagram of a design drawing integration optimization system according to a fourth embodiment of the present invention, and as shown in fig. 6, the design drawing integration optimization system includes: the display 50 is used for displaying a page for designing the plan drawing integration optimization system;
and the processor 50 is used for processing the design scheme drawing integration optimization method of the embodiment of the invention.
The display 50 may provide, among other things, a parameter information entry page for the user. The user may view the target drawing plans and alternatives recommended by the system to the user via the display 50.
The system comprises a processor 50, a memory 51, an input device 52 and a display 40; the number of processors 50 in the system may be one or more, and one processor 50 is taken as an example in fig. 4; the processor 50, the memory 51, the input device 52 and the display 40 in the system may be connected by a bus or other means, as exemplified by the bus connection in fig. 4.
The memory 51 is used as a computer-readable storage medium and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the method for design drawing integration optimization in the embodiment of the present invention (for example, the parameter information acquisition module 10, the calculation module 20, and the drawing recommendation module 30 in the design drawing integration optimization device 101). The processor 50 executes various functional applications of the device/terminal/server and data processing by executing software programs, instructions and modules stored in the memory 51, namely, implements the method for design drawing integration optimization described above.
The memory 51 may mainly 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 terminal, and the like. Further, the memory 51 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 51 may further include memory located remotely from the processor 50, which may be connected to the device/terminal/server via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 52 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the device/terminal/server. The display 40 may include a display device such as a display screen.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for design scheme drawing integration optimization is characterized by comprising the following steps:
storing M drawn drawings into a database, wherein M is more than or equal to 2;
acquiring parameter information of a target drawing input by a user;
respectively calculating similarity values of the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database according to the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database to obtain M similarity values;
recommending the drawn drawings meeting preset conditions in the M similarity values to a user.
2. The method for design solution drawing integration optimization according to claim 1, wherein the recommending the drawn drawing meeting the preset condition in the M similarity values to the user comprises:
taking all drawn drawings of which the similarity values meet preset similarity values in the M similarity values as alternative drawings;
and recommending the drawn drawing with the highest similarity value in the alternative drawings to a user as a target drawing.
3. The method for design solution drawing integration optimization according to claim 2, wherein the preset similarity value is greater than or equal to 90%.
4. The method for design solution drawing integration optimization according to claim 1, wherein the parameter information of the target drawing input by the user includes N parameter features, N is greater than or equal to 1;
the method for calculating the similarity value between the parameter information of the target drawing input by the user and the parameter information of each drawn drawing comprises the following steps:
s1: respectively calculating the similarity value of each parameter feature of a target drawing input by a user and the parameter information of a drawn drawing to obtain N similarity values;
s2: weighting and averaging the N similarity values to obtain a similarity value between a target drawing input by a user and a drawn drawing;
and according to the steps S1-S2, calculating the similarity values of the target drawing input by the user and the M drawn drawings respectively to obtain M similarity values.
5. The method for design drawing integration optimization according to claim 4,
the parameter characteristics comprise at least one of equipment number, equipment model, equipment size information and equipment specification.
6. The method for design drawing integration optimization according to claim 1, further comprising, before storing the M drawn drawings in the database:
and identifying and optimizing the drawn drawing.
7. The method for design drawing integration optimization according to claim 1, further comprising, after the obtaining parameter information of the target drawing input by the user:
and performing noise reduction processing on the parameter information of the target drawing input by the user.
8. The method for design drawing integration optimization according to claim 1, further comprising, after the obtaining parameter information of the target drawing input by the user:
and carrying out normalization processing on the parameter information of the target drawing input by the user.
9. The utility model provides a be used for design plan drawing to integrate and push away excellent device which characterized in that includes:
the parameter information acquisition module is used for acquiring the parameter information of the target drawing input by a user;
the calculation module is used for respectively calculating the similarity value between the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database according to the parameter information of the target drawing input by the user and the parameter information of each drawn drawing in the database to obtain M similarity values;
and the drawing recommendation module is used for recommending the drawn drawing meeting the preset conditions in the M similarity values to a user.
10. A design plan drawing integration optimization system is characterized by comprising:
the display is used for displaying the page for the design scheme drawing integration optimizing system;
a processor for processing the method for design drawing integration optimization according to any one of claims 1 to 8.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113360695A (en) * | 2021-06-07 | 2021-09-07 | 深圳市道通科技股份有限公司 | Method and device for determining similar circuit diagram of automobile and electronic equipment |
CN113850027A (en) * | 2021-11-30 | 2021-12-28 | 山东华尚电气有限公司 | Dry-type transformer manufacturing method and system based on intelligent identification of design drawing |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108509466A (en) * | 2017-04-14 | 2018-09-07 | 腾讯科技(深圳)有限公司 | A kind of information recommendation method and device |
CN111125521A (en) * | 2019-12-13 | 2020-05-08 | 上海喜马拉雅科技有限公司 | Information recommendation method, device, equipment and storage medium |
CN111737505A (en) * | 2020-07-07 | 2020-10-02 | 青岛艾德软件有限公司 | Similar drawing multiplexing method for static equipment |
-
2020
- 2020-12-11 CN CN202011461100.6A patent/CN112487513A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108509466A (en) * | 2017-04-14 | 2018-09-07 | 腾讯科技(深圳)有限公司 | A kind of information recommendation method and device |
CN111125521A (en) * | 2019-12-13 | 2020-05-08 | 上海喜马拉雅科技有限公司 | Information recommendation method, device, equipment and storage medium |
CN111737505A (en) * | 2020-07-07 | 2020-10-02 | 青岛艾德软件有限公司 | Similar drawing multiplexing method for static equipment |
Cited By (2)
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