CN116030197A - Indoor design drawing system - Google Patents
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- CN116030197A CN116030197A CN202310135758.5A CN202310135758A CN116030197A CN 116030197 A CN116030197 A CN 116030197A CN 202310135758 A CN202310135758 A CN 202310135758A CN 116030197 A CN116030197 A CN 116030197A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
The invention relates to the technical field of data processing, in particular to an indoor design drawing system, which comprises a drawing subsystem, a drawing subsystem and a display subsystem, wherein the display subsystem comprises a display module, a photometry module, a contrast module and a brightness adjustment module, and the drawing subsystem draws the detailed size inside a house and the building construction structure of the house to obtain drawing information; the drawing subsystem analyzes and processes the drawing information and draws the drawing information by using drawing software to obtain a drawing image; the display module displays a drawing image; the light measuring module detects the current illumination intensity; the contrast module is used for comparing the current illumination intensity with the display brightness of the display module to obtain a contrast value; the brightness adjusting module adjusts the display brightness of the display module based on the contrast value, so that the brightness of the display module is increased under the condition of intensity, the brightness is weakened under the condition of weak light, and the problem that the display definition of the display module is lower under the condition of strong light is solved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an indoor design drawing system.
Background
In civil engineering plan drawings, it is often necessary to determine position and size by coordinates.
The existing indoor design drawing system is characterized in that a drawing module is used for drawing the detailed size inside a house and the house construction structure, and the drawing information is analyzed and processed and then is transmitted remotely; the drawing module receives the drawing information transmitted by the drawing module, analyzes and processes the drawing information according to the drawing information, and draws the drawing information by using drawing software after the processing is completed; the display module displays the image information drawn by the drawing module.
By adopting the mode, when the indoor illumination intensity is larger than the display brightness of the display module, the definition of the drawn image information displayed by the display module is reduced.
Disclosure of Invention
The invention aims to provide an indoor design drawing system, which aims to solve the problem of lower display definition of a display module under a strong light condition.
In order to achieve the above purpose, the invention provides an indoor design drawing system, which comprises a drawing subsystem, a drawing subsystem and a display subsystem, wherein the drawing subsystem, the drawing subsystem and the display subsystem are sequentially connected, the display subsystem comprises a display module, a photometry module, a contrast module and a brightness adjustment module, and the display module, the photometry module, the contrast module and the brightness adjustment module are sequentially connected;
the mapping subsystem is used for mapping the detailed size inside the house and the house construction structure to obtain mapping information;
the drawing subsystem is used for drawing the drawing information by using drawing software after analyzing and processing the drawing information to obtain a drawing image;
the display module is used for displaying the drawing image;
the light measuring module is used for detecting the current illumination intensity;
the comparison module is used for comparing the current illumination intensity with the display brightness of the display module to obtain a comparison difference value;
and the brightness adjustment module is used for adjusting the display brightness of the display module based on the contrast value.
The display subsystem further comprises an acquisition module, a characteristic extraction module and an angle adjustment module, wherein the acquisition module, the characteristic extraction module and the angle adjustment module are sequentially connected;
the acquisition module is used for acquiring the current scene image;
the feature extraction module is used for extracting features of the current scene image to obtain portrait features;
and the angle adjustment module is used for adjusting the display angle of the display module based on the portrait characteristic.
The feature extraction module comprises a building sub-module, a training sub-module and an extraction sub-module, wherein the building sub-module, the training sub-module and the extraction sub-module are sequentially connected;
the modeling sub-module is used for constructing a neural network model;
the training sub-module is used for training the neural network model by using a training data set to obtain a feature extraction model;
and the extraction submodule is used for inputting the current scene picture into the feature extraction model for training to obtain the portrait feature.
The training sub-module comprises an acquisition unit, a preprocessing unit, a training unit and a verification unit, wherein the acquisition unit, the preprocessing unit, the training unit and the verification unit are sequentially connected;
the acquisition unit is used for acquiring a training data set;
the preprocessing unit is used for preprocessing the training data set to obtain a training set and a verification set;
the training unit is used for training the neural network model by using the training set to obtain a pre-training model;
and the verification unit is used for carrying out verification optimizing on the pre-training model by using the verification set to obtain a feature extraction model.
The preprocessing unit comprises a filtering subunit, a marking subunit and a dividing subunit, wherein the filtering subunit, the marking subunit and the dividing subunit are sequentially connected;
the filtering subunit is used for filtering the training data set to obtain a filtered data set;
the marking subunit is used for marking the filtered data set to obtain a marked data set;
the dividing subunit is configured to divide the tag data set into a training set and a verification set.
The extraction submodule comprises a format adjusting unit and an input unit, and the format adjusting unit is connected with the input unit;
the format adjustment unit is used for carrying out format adjustment on the current scene picture based on the input format of the feature extraction model to obtain input data;
the input unit is used for inputting the input data into the feature extraction model for training to obtain portrait features.
The indoor design drawing system further comprises a storage subsystem, wherein the storage subsystem is connected with the drawing subsystem;
the storage subsystem is used for storing the drawing image.
According to the indoor design drawing system, firstly, the drawing subsystem draws the detailed size inside a house and the house construction structure to obtain drawing information; then, the drawing subsystem analyzes and processes the drawing information and draws the drawing information by using drawing software to obtain a drawing image; then, the display module displays the drawing image; meanwhile, the light measuring module detects the current illumination intensity; the comparison module compares the current illumination intensity with the display brightness of the display module to obtain a comparison difference value; finally, the brightness adjustment module adjusts the display brightness of the display module based on the contrast value, so that the brightness of the display module is increased under the condition of intensity, the brightness is weakened under the condition of weak light, and the problem that the display definition of the display module is lower under the condition of strong light is solved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of an indoor design drawing system according to the present invention.
Fig. 2 is a schematic diagram of the structure of the display subsystem.
Fig. 3 is a schematic structural diagram of the feature extraction module.
Fig. 4 is a schematic diagram of the structure of the training sub-module.
Fig. 5 is a schematic diagram of the structure of the pretreatment unit.
Fig. 6 is a schematic diagram of the structure of the extraction sub-module.
1-mapping subsystem, 2-mapping subsystem, 3-display subsystem, 4-storage subsystem, 5-retrieval subsystem, 6-display module, 7-photometry module, 8-contrast module, 9-brightness adjustment module, 10-acquisition module, 11-feature extraction module, 12-angle adjustment module, 13-modeling module, 14-training sub-module, 15-extraction sub-module, 16-acquisition unit, 17-preprocessing unit, 18-training unit, 19-verification unit, 20-filtering sub-unit, 21-labeling sub-unit, 22-partitioning sub-unit, 23-format adjustment unit, 24-input unit, 25-cleaning module.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
Referring to fig. 1 to 6, the invention provides an indoor design drawing system, which comprises a drawing subsystem 1, a drawing subsystem 2 and a display subsystem 3, wherein the drawing subsystem 1, the drawing subsystem 2 and the display subsystem 3 are sequentially connected, the display subsystem 3 comprises a display module 6, a photometry module 7, a contrast module 8 and a brightness adjustment module 9, and the display module 6, the photometry module 7, the contrast module 8 and the brightness adjustment module 9 are sequentially connected;
the mapping subsystem 1 is used for mapping the detailed size inside a house and the house construction structure to obtain mapping information;
the drawing subsystem 2 is used for drawing the drawing information by using drawing software after analyzing and processing the drawing information to obtain a drawing image;
the display module 6 is used for displaying the drawing image;
the photometry module 7 is used for detecting the current illumination intensity;
the comparison module 8 is configured to compare the current illumination intensity with the display brightness of the display module 6 to obtain a comparison difference value;
the brightness adjustment module 9 adjusts the display brightness of the display module 6 based on the contrast value.
Specifically, firstly, the mapping subsystem 1 maps the detailed dimensions inside the house and the house construction structure to obtain mapping information; then, the drawing subsystem 2 analyzes and processes the drawing information and draws the drawing information by using drawing software to obtain a drawing image; then, the display module 6 displays the drawing image; meanwhile, the photometry module 7 detects the current illumination intensity; the comparison module 8 compares the current illumination intensity with the display brightness of the display module 6 to obtain a comparison difference value; finally, the brightness adjustment module 9 adjusts the display brightness of the display module 6 based on the contrast value, so that the brightness of the display module 6 is increased under the condition of intensity, and the brightness is reduced under the condition of weak light, thereby solving the problem of lower display definition of the display module 6 under the condition of strong light.
Further, the display subsystem 3 further includes an acquisition module 10, a feature extraction module 11 and an angle adjustment module 12, where the acquisition module 10, the feature extraction module 11 and the angle adjustment module 12 are sequentially connected;
the acquisition module 10 is used for acquiring the current scene image;
the feature extraction module 11 is configured to perform feature extraction on the current scene image to obtain a portrait feature;
the angle adjustment module 12 adjusts the display angle of the display module 6 based on the portrait characteristic.
The feature extraction module 11 comprises a modeling submodule 13, a training submodule 14 and an extraction submodule 15, and the modeling submodule 13, the training submodule 14 and the extraction submodule 15 are sequentially connected;
the modeling submodule 13 is used for constructing a neural network model;
the training sub-module 14 is configured to train the neural network model by using a training data set to obtain a feature extraction model;
the extraction submodule 15 is used for inputting the current scene picture into the feature extraction model for training to obtain portrait features.
The training submodule 14 comprises an acquisition unit 16, a preprocessing unit 17, a training unit 18 and a verification unit 19, wherein the acquisition unit 16, the preprocessing unit 17, the training unit 18 and the verification unit 19 are sequentially connected;
the acquiring unit 16 is configured to acquire a training data set;
the preprocessing unit 17 is configured to preprocess the training data set to obtain a training set and a verification set;
the training unit 18 is configured to train the neural network model by using the training set to obtain a pre-training model;
the verification unit 19 is configured to perform verification and optimization on the pre-training model by using the verification set, so as to obtain a feature extraction model.
The preprocessing unit 17 comprises a filtering subunit 20, a marking subunit 21 and a dividing subunit 22, wherein the filtering subunit 20, the marking subunit 21 and the dividing subunit 22 are sequentially connected;
the filtering subunit 20 is configured to filter the training data set to obtain a filtered data set;
the marking subunit 21 is configured to mark the filtered data set to obtain a marked data set;
the dividing subunit 22 is configured to divide the marker dataset into a training set and a verification set.
The extraction submodule 15 comprises a format adjusting unit 23 and an input unit 24, and the format adjusting unit 23 is connected with the input unit 24;
the format adjustment unit 23 performs format adjustment on the current scene picture based on the input format of the feature extraction model to obtain input data;
the input unit 24 is configured to input the input data into the feature extraction model for training, so as to obtain a portrait feature.
Specifically, the acquisition module 10 acquires a current scene image; the modeling submodule 13 constructs a neural network model; the acquisition unit 16 acquires a training data set; the filtering subunit 20 filters the training data set to obtain a filtered data set; the marking subunit 21 marks the filtered data set to obtain a marked data set; the dividing subunit 22 divides the marker data set into a training set and a verification set; the training unit 18 uses the training set to train the neural network model to obtain a pre-training model; the verification unit 19 uses the verification set to perform verification and optimization on the pre-training model to obtain a feature extraction model; the format adjustment unit 23 performs format adjustment on the current scene picture based on the input format of the feature extraction model to obtain input data; the input unit 24 inputs the input data into the feature extraction model for training to obtain portrait features; the angle adjustment module 12 adjusts the display angle of the display module 6 based on the portrait characteristics.
Further, the indoor design drawing system further comprises a storage subsystem 4, wherein the storage subsystem 4 is connected with the drawing subsystem 2;
the storage subsystem 4 is used for storing the drawing image.
Specifically, the storage subsystem 4 stores the drawing image for facilitating subsequent retrieval.
Further, the indoor design drawing system further comprises a retrieval subsystem 5, and the retrieval subsystem 5 is connected with the storage subsystem 4;
the retrieval subsystem 5 matches the target drawing image from the storage subsystem 4 based on the retrieval conditions.
Specifically, the search subsystem 5 matches the target drawing image from the storage subsystem 4 based on the search condition, so as to avoid wasting time in blind search.
Further, the display subsystem 3 further comprises a cleaning module 25, and the cleaning module 25 is connected with the display module 6;
the cleaning module 25 is configured to clean a display end of the display module 6.
Specifically, the cleaning module 25 cleans the display end of the display module 6, so as to further improve the display effect of the drawing image.
The present invention is not limited to the preferred embodiment of the indoor design drawing system, and one skilled in the art can understand that all or part of the procedures of the embodiment are implemented, and the equivalent changes according to the claims still fall within the scope of the invention.
Claims (7)
1. An indoor design drawing system is characterized in that,
the system comprises a mapping subsystem, a drawing subsystem and a display subsystem, wherein the mapping subsystem, the drawing subsystem and the display subsystem are sequentially connected, the display subsystem comprises a display module, a photometry module, a contrast module and a brightness adjustment module, and the display module, the photometry module, the contrast module and the brightness adjustment module are sequentially connected;
the mapping subsystem is used for mapping the detailed size inside the house and the house construction structure to obtain mapping information;
the drawing subsystem is used for drawing the drawing information by using drawing software after analyzing and processing the drawing information to obtain a drawing image;
the display module is used for displaying the drawing image;
the light measuring module is used for detecting the current illumination intensity;
the comparison module is used for comparing the current illumination intensity with the display brightness of the display module to obtain a comparison difference value;
and the brightness adjustment module is used for adjusting the display brightness of the display module based on the contrast value.
2. The interior design drawing system of claim 1, wherein,
the display subsystem further comprises an acquisition module, a characteristic extraction module and an angle adjustment module, wherein the acquisition module, the characteristic extraction module and the angle adjustment module are sequentially connected;
the acquisition module is used for acquiring the current scene image;
the feature extraction module is used for extracting features of the current scene image to obtain portrait features;
and the angle adjustment module is used for adjusting the display angle of the display module based on the portrait characteristic.
3. The interior design drawing system of claim 2, wherein,
the feature extraction module comprises a building sub-module, a training sub-module and an extraction sub-module, wherein the building sub-module, the training sub-module and the extraction sub-module are sequentially connected;
the modeling sub-module is used for constructing a neural network model;
the training sub-module is used for training the neural network model by using a training data set to obtain a feature extraction model;
and the extraction submodule is used for inputting the current scene picture into the feature extraction model for training to obtain the portrait feature.
4. The indoor design drawing system of claim 3, wherein,
the training sub-module comprises an acquisition unit, a preprocessing unit, a training unit and a verification unit, wherein the acquisition unit, the preprocessing unit, the training unit and the verification unit are sequentially connected;
the acquisition unit is used for acquiring a training data set;
the preprocessing unit is used for preprocessing the training data set to obtain a training set and a verification set;
the training unit is used for training the neural network model by using the training set to obtain a pre-training model;
and the verification unit is used for carrying out verification optimizing on the pre-training model by using the verification set to obtain a feature extraction model.
5. The interior design drawing system of claim 4, wherein,
the preprocessing unit comprises a filtering subunit, a marking subunit and a dividing subunit which are sequentially connected;
the filtering subunit is used for filtering the training data set to obtain a filtered data set;
the marking subunit is used for marking the filtered data set to obtain a marked data set;
the dividing subunit is configured to divide the tag data set into a training set and a verification set.
6. The interior design drawing system of claim 5, wherein,
the extraction submodule comprises a format adjusting unit and an input unit, and the format adjusting unit is connected with the input unit;
the format adjustment unit is used for carrying out format adjustment on the current scene picture based on the input format of the feature extraction model to obtain input data;
the input unit is used for inputting the input data into the feature extraction model for training to obtain portrait features.
7. The interior design drawing system of claim 6, wherein,
the indoor design drawing system further comprises a storage subsystem, wherein the storage subsystem is connected with the drawing subsystem;
the storage subsystem is used for storing the drawing image.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116627030A (en) * | 2023-06-02 | 2023-08-22 | 浙江同本科技有限公司 | Intelligent MES manufacturing system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116627030A (en) * | 2023-06-02 | 2023-08-22 | 浙江同本科技有限公司 | Intelligent MES manufacturing system |
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