CN117952563A - Quick registration and examination method and system in elevator information system - Google Patents

Quick registration and examination method and system in elevator information system Download PDF

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Publication number
CN117952563A
CN117952563A CN202410329201.XA CN202410329201A CN117952563A CN 117952563 A CN117952563 A CN 117952563A CN 202410329201 A CN202410329201 A CN 202410329201A CN 117952563 A CN117952563 A CN 117952563A
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elevator
image local
local area
individual
representation
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汤锐
刘宏伟
雷阳
潘东
董浩明
王凯雷
陈峥
徐桂芳
陈维壁
王莉玲
阮程
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WUHAN ESPECIAL EQUIPMENT SUPERVISE TEST INSTITUTE
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WUHAN ESPECIAL EQUIPMENT SUPERVISE TEST INSTITUTE
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Abstract

The invention discloses a method and a system for rapid registration and examination in an elevator information system, wherein the method comprises the following steps: the method comprises the steps of electronizing elevator technical data, generating elevator technical data pictures, dividing each elevator technical data picture into a plurality of image local areas, extracting characteristic representations of each image local area, comparing the characteristic representations of the image local areas with predefined text characteristic representations in similarity, taking the characteristic representations of the image local areas with similarity exceeding a threshold value as final characteristic representations, and accordingly completing technical information extraction of the elevator technical data and storing the technical information extraction; when the elevator technical form is required to be filled in the elevator information system, identifying keywords in the elevator technical form, determining technical information of the elevator to be filled in, calculating the position of the technical information in the elevator technical information picture, and finding out the final characteristic representation corresponding to the position from the stored final characteristic representation.

Description

Quick registration and examination method and system in elevator information system
Technical Field
The invention belongs to the technical field of quick registration of an elevator system, and particularly relates to a quick registration and inspection method and system in an elevator information system.
Background
In the technical data examination required by the TSG T7001-2023 elevator supervision and periodic inspection rules, related technical data are more in variety and quantity, and the data submitted by different units are not in a uniform format. The time required to manually scroll through and enter information is long and there are cases of human input errors. When checking the consistency of technical data and physical objects, the reading of a large amount of data is a time-consuming process.
Therefore, a technical solution is needed to complete quick registration and audit in an elevator information system.
Disclosure of Invention
In order to solve the technical problems, the invention provides a rapid registration and examination method in an elevator information system, which comprises the following steps:
The method comprises the steps of electronizing elevator technical data, generating elevator technical data pictures, dividing each elevator technical data picture into a plurality of image local areas, extracting characteristic representations of each image local area, comparing the characteristic representations of the image local areas with predefined text characteristic representations in similarity, taking the characteristic representations of the image local areas with similarity exceeding a threshold value as final characteristic representations, and accordingly completing technical information extraction of the elevator technical data and storing the technical information extraction;
When the elevator technical form is required to be filled in an elevator information system, identifying keywords in the elevator technical form, determining technical information of the elevator to be filled in, calculating the position of the technical information in the elevator technical information picture, finding out the final characteristic representation corresponding to the position from the stored final characteristic representation, filling the final characteristic representation into the elevator technical form, and checking the filled elevator technical form.
Further, extracting a feature representation of each of the image local regions includes:
Wherein, For/>Individual image local area/>Interior (th)/>Representation of the individual features,/>Is the total layer number of the filter,/>To at/>Layer filter is located at the (th) >Individual image local area/>Pixel location within/>Weights of/>To at the firstLayer filter of the first kindIndividual image local area/>Interior (th)/>Representation of the individual features,/>For/>Bias terms of the layer filters.
Further, comparing the feature representation of the image local area with a predefined text feature representation comprises:
Wherein, For/>Individual image local area/>Interior (th)/>The individual feature representation is associated with a predefined/>Similarity of individual text feature representations,/>For the number of components,/>For/>Weight of individual component,/>For/>Individual image local area/>Interior (th)/>The/>, of the individual feature representationComponent,/>For/>First/>, of the text feature representationComponent,/>As the weights of the weight matrix,For/>Weight matrix of layer filter,/>Is a matrix two-norm.
Further, calculating the location of the technical information in the elevator technical data picture includes:
Wherein, For/>Individual image local area/>Interior (th)/>Abscissa of individual feature representation,/>For/>Individual image local area/>Inner pixel position/>Attention weight of feature representation at,/>For/>Local area of imageInner pixel position/>Characterization of the site,/>For/>Individual image local area/>Interior (th)/>The ordinate of each feature representation.
Further, keywords in the elevator technical form are identified through OCR text recognition technology.
The invention also provides a rapid registration and examination system in the elevator information system, which comprises:
the feature extraction module is used for electronizing the elevator technical data, generating elevator technical data pictures, dividing each elevator technical data picture into a plurality of image local areas, extracting the feature representation of each image local area, comparing the feature representation of each image local area with a predefined text feature representation in similarity, taking the feature representation of the image local area with similarity exceeding a threshold value as a final feature representation, and thus completing the technical information extraction of the elevator technical data and storing the feature representation;
And the registration module is used for identifying keywords in the elevator technical form when the elevator technical form is required to be filled in the elevator information system, determining the technical information of the elevator required to be filled in, calculating the position of the technical information in the elevator technical material picture, finding the final characteristic representation corresponding to the position from the stored final characteristic representation, filling the final characteristic representation into the elevator technical form, and checking the filled elevator technical form.
Further, extracting a feature representation of each of the image local regions includes:
Wherein, For/>Individual image local area/>Interior (th)/>Representation of the individual features,/>Is the total layer number of the filter,/>To at/>Layer filter is located at the (th) >Individual image local area/>Pixel location within/>Weights of/>To at the firstLayer filter of the first kindIndividual image local area/>Interior (th)/>Representation of the individual features,/>For/>Bias terms of the layer filters.
Further, comparing the feature representation of the image local area with a predefined text feature representation comprises:
Wherein, For/>Individual image local area/>Interior (th)/>The individual feature representation is associated with a predefined/>Similarity of individual text feature representations,/>For the number of components,/>For/>Weight of individual component,/>For/>Individual image local area/>Interior (th)/>The/>, of the individual feature representationComponent,/>For/>First/>, of the text feature representationComponent,/>As the weights of the weight matrix,For/>Weight matrix of layer filter,/>Is a matrix two-norm.
Further, calculating the location of the technical information in the elevator technical data picture includes:
Wherein, For/>Individual image local area/>Interior (th)/>Abscissa of individual feature representation,/>For/>Individual image local area/>Inner pixel position/>Attention weight of feature representation at,/>For/>Local area of imageInner pixel position/>Characterization of the site,/>For/>Individual image local area/>Interior (th)/>The ordinate of each feature representation.
Further, keywords in the elevator technical form are identified through OCR text recognition technology.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
The method comprises the steps of electronizing elevator technical data, generating elevator technical data pictures, dividing each elevator technical data picture into a plurality of image local areas, extracting characteristic representation of each image local area, comparing the characteristic representation of each image local area with a predefined text characteristic representation in similarity, taking the characteristic representation of each image local area with similarity exceeding a threshold value as a final characteristic representation, and thus completing technical information extraction of the elevator technical data and storing; when the elevator technical form is required to be filled in the elevator information system, identifying keywords in the elevator technical form, determining technical information of the elevator to be filled in, calculating the position of the technical information in the elevator technical information picture, finding out the final characteristic representation corresponding to the position from the stored final characteristic representation, filling the final characteristic representation into the elevator technical form, and checking the filled elevator technical form. According to the technical scheme, the form related to the elevator technology in the elevator information system can be filled in quickly.
Drawings
FIG. 1 is a flow chart of the method of embodiment 1 of the present invention;
Fig. 2 is a system configuration diagram of embodiment 2 of the present invention.
Detailed Description
In order to better understand the above technical solutions, the following detailed description will be given with reference to the accompanying drawings and specific embodiments.
The method provided by the invention can be implemented in a terminal environment, wherein the terminal can comprise one or more of the following components: processor, storage medium, and display screen. Wherein the storage medium has stored therein at least one instruction that is loaded and executed by the processor to implement the method described in the embodiments below.
The processor may include one or more processing cores. The processor connects various parts within the overall terminal using various interfaces and lines, performs various functions of the terminal and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the storage medium, and invoking data stored in the storage medium.
The storage medium may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (ROM). The storage medium may be used to store instructions, programs, code sets, or instructions.
The display screen is used for displaying the interaction section of each application program.
All subscripts in the formula of the invention are only used for distinguishing parameters and have no practical meaning.
In addition, it will be appreciated by those skilled in the art that the structure of the terminal described above is not limiting and that the terminal may include more or fewer components, or may combine certain components, or a different arrangement of components. For example, the terminal further includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, a power supply, and the like, which are not described herein.
Example 1
As shown in fig. 1, an embodiment of the present invention provides a method for fast registration and inspection in an elevator information system, including:
Step 101, electronizing elevator technical data to generate elevator technical data pictures, dividing each elevator technical data picture into a plurality of image local areas, extracting characteristic representation of each image local area, comparing the characteristic representation of each image local area with a predefined text characteristic representation in similarity, taking the characteristic representation of the image local area with similarity exceeding a threshold value as a final characteristic representation, thereby completing technical information extraction of the elevator technical data, and storing;
Specifically, extracting the feature representation of each image local area includes:
Wherein, For/>Individual image local area/>Interior (th)/>Representation of the individual features,/>Is the total layer number of the filter,/>To at/>Layer filter is located at the (th) >Individual image local area/>Pixel location within/>Weights of/>To at the firstLayer filter of the first kindIndividual image local area/>Interior (th)/>Representation of the individual features,/>For/>Bias terms of the layer filters.
Specifically, comparing the feature representation of the image local area with a predefined text feature representation in similarity includes:
Wherein, For/>Individual image local area/>Interior (th)/>The individual feature representation is associated with a predefined/>Similarity of individual text feature representations,/>For the number of components,/>For/>Weight of individual component,/>For/>Individual image local area/>Interior (th)/>The/>, of the individual feature representationComponent,/>For/>First/>, of the text feature representationComponent,/>As the weights of the weight matrix,For/>Weight matrix of layer filter,/>Is a matrix two-norm.
Step 102, when the filling of the elevator technical form is required to be completed in the elevator information system, identifying keywords in the elevator technical form, determining technical information of the elevator to be filled, calculating the position of the technical information in the elevator technical material picture, finding out the final characteristic representation corresponding to the position from the stored final characteristic representation, filling the final characteristic representation into the elevator technical form, and checking the filled elevator technical form.
Specifically, calculating the position of the technical information in the elevator technical data picture includes:
Wherein, For/>Individual image local area/>Interior (th)/>Abscissa of individual feature representation,/>For/>Individual image local area/>Inner pixel position/>Attention weight of feature representation at,/>For/>Local area of imageInner pixel position/>Characterization of the site,/>For/>Individual image local area/>Interior (th)/>The ordinate of each feature representation.
Specifically, keywords in the elevator technical form are identified through OCR text recognition technology.
Example 2
As shown in fig. 2, the embodiment of the present invention further provides a rapid registration and inspection system in an elevator information system, including:
the feature extraction module is used for electronizing the elevator technical data, generating elevator technical data pictures, dividing each elevator technical data picture into a plurality of image local areas, extracting the feature representation of each image local area, comparing the feature representation of each image local area with a predefined text feature representation in similarity, taking the feature representation of the image local area with similarity exceeding a threshold value as a final feature representation, and thus completing the technical information extraction of the elevator technical data and storing the feature representation;
Specifically, extracting the feature representation of each image local area includes:
Wherein, For/>Individual image local area/>Interior (th)/>Representation of the individual features,/>Is the total layer number of the filter,/>To at/>Layer filter is located at the (th) >Individual image local area/>Pixel location within/>Weights of/>To at the firstLayer filter of the first kindIndividual image local area/>Interior (th)/>Representation of the individual features,/>For/>Bias terms of the layer filters.
Specifically, comparing the feature representation of the image local area with a predefined text feature representation in similarity includes:
Wherein, For/>Individual image local area/>Interior (th)/>The individual feature representation is associated with a predefined/>Similarity of individual text feature representations,/>For the number of components,/>For/>Weight of individual component,/>For/>Individual image local area/>Interior (th)/>The/>, of the individual feature representationComponent,/>For/>First/>, of the text feature representationComponent,/>As the weights of the weight matrix,For/>Weight matrix of layer filter,/>Is a matrix two-norm.
And the registration module is used for identifying keywords in the elevator technical form when the elevator technical form is required to be filled in the elevator information system, determining the technical information of the elevator required to be filled in, calculating the position of the technical information in the elevator technical material picture, finding the final characteristic representation corresponding to the position from the stored final characteristic representation, filling the final characteristic representation into the elevator technical form, and checking the filled elevator technical form.
Specifically, calculating the position of the technical information in the elevator technical data picture includes:
Wherein, For/>Individual image local area/>Interior (th)/>Abscissa of individual feature representation,/>For/>Individual image local area/>Inner pixel position/>Attention weight of feature representation at,/>For/>Local area of imageInner pixel position/>Characterization of the site,/>For/>Individual image local area/>Interior (th)/>The ordinate of each feature representation.
Specifically, keywords in the elevator technical form are identified through OCR text recognition technology.
Example 3
The embodiment of the invention also provides a storage medium which stores a plurality of instructions for realizing the rapid registration and examination method in the elevator information system.
Alternatively, in this embodiment, the storage medium may be located in any one of the computer terminals in the computer terminal group in the computer network, or in any one of the mobile terminals in the mobile terminal group.
Alternatively, in the present embodiment, the storage medium is configured to store program code for performing the steps of: step 101, electronizing elevator technical data to generate elevator technical data pictures, dividing each elevator technical data picture into a plurality of image local areas, extracting characteristic representation of each image local area, comparing the characteristic representation of each image local area with a predefined text characteristic representation in similarity, taking the characteristic representation of the image local area with similarity exceeding a threshold value as a final characteristic representation, thereby completing technical information extraction of the elevator technical data, and storing;
Specifically, extracting the feature representation of each image local area includes:
Wherein, For/>Individual image local area/>Interior (th)/>Representation of the individual features,/>Is the total layer number of the filter,/>To at/>Layer filter is located at the (th) >Individual image local area/>Pixel location within/>Weights of/>To at the firstLayer filter of the first kindIndividual image local area/>Interior (th)/>Representation of the individual features,/>For/>Bias terms of the layer filters.
Specifically, comparing the feature representation of the image local area with a predefined text feature representation in similarity includes:
Wherein, For/>Individual image local area/>Interior (th)/>The individual feature representation is associated with a predefined/>Similarity of individual text feature representations,/>For the number of components,/>For/>Weight of individual component,/>For/>Individual image local area/>Interior (th)/>The/>, of the individual feature representationComponent,/>For/>First/>, of the text feature representationComponent,/>As the weights of the weight matrix,For/>Weight matrix of layer filter,/>Is a matrix two-norm.
Step 102, when the filling of the elevator technical form is required to be completed in the elevator information system, identifying keywords in the elevator technical form, determining technical information of the elevator to be filled, calculating the position of the technical information in the elevator technical material picture, finding out the final characteristic representation corresponding to the position from the stored final characteristic representation, filling the final characteristic representation into the elevator technical form, and checking the filled elevator technical form.
Specifically, calculating the position of the technical information in the elevator technical data picture includes:
Wherein, For/>Individual image local area/>Interior (th)/>Abscissa of individual feature representation,/>For/>Individual image local area/>Inner pixel position/>Attention weight of feature representation at,/>For/>Local area of imageInner pixel position/>Characterization of the site,/>For/>Individual image local area/>Interior (th)/>The ordinate of each feature representation.
Specifically, keywords in the elevator technical form are identified through OCR text recognition technology.
Example 4
The embodiment of the invention also provides electronic equipment, which comprises a processor and a storage medium connected with the processor, wherein the storage medium stores a plurality of instructions, and the instructions can be loaded and executed by the processor so that the processor can execute a rapid registration and examination method in an elevator information system.
Specifically, the electronic device of the present embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.
The storage medium may be used to store a software program and a module, such as a method for fast registration and inspection in an elevator information system according to the embodiments of the present invention, and the processor executes various functional applications and data processing by running the software program and the module stored in the storage medium, thereby implementing the method for fast registration and inspection in an elevator information system. The storage medium may include a high-speed random access storage medium, and may also include a non-volatile storage medium, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage medium. In some examples, the storage medium may further include a storage medium remotely located with respect to the processor, and the remote storage medium may be connected to the terminal through 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 processor may invoke the information stored in the storage medium and the application program through the transmission system to perform the steps of: step 101, electronizing elevator technical data to generate elevator technical data pictures, dividing each elevator technical data picture into a plurality of image local areas, extracting characteristic representation of each image local area, comparing the characteristic representation of each image local area with a predefined text characteristic representation in similarity, taking the characteristic representation of the image local area with similarity exceeding a threshold value as a final characteristic representation, thereby completing technical information extraction of the elevator technical data, and storing;
Specifically, extracting the feature representation of each image local area includes:
Wherein, For/>Individual image local area/>Interior (th)/>Representation of the individual features,/>Is the total layer number of the filter,/>To at/>Layer filter is located at the (th) >Individual image local area/>Pixel location within/>Weights of/>To at the firstLayer filter of the first kindIndividual image local area/>Interior (th)/>Representation of the individual features,/>For/>Bias terms of the layer filters.
Specifically, comparing the feature representation of the image local area with a predefined text feature representation in similarity includes:
Wherein, For/>Individual image local area/>Interior (th)/>The individual feature representation is associated with a predefined/>Similarity of individual text feature representations,/>For the number of components,/>For/>Weight of individual component,/>For/>Individual image local area/>Interior (th)/>The/>, of the individual feature representationComponent,/>For/>First/>, of the text feature representationComponent,/>As the weights of the weight matrix,For/>Weight matrix of layer filter,/>Is a matrix two-norm.
Step 102, when the filling of the elevator technical form is required to be completed in the elevator information system, identifying keywords in the elevator technical form, determining technical information of the elevator to be filled, calculating the position of the technical information in the elevator technical material picture, finding out the final characteristic representation corresponding to the position from the stored final characteristic representation, filling the final characteristic representation into the elevator technical form, and checking the filled elevator technical form.
Specifically, calculating the position of the technical information in the elevator technical data picture includes:
Wherein, For/>Individual image local area/>Interior (th)/>Abscissa of individual feature representation,/>For/>Individual image local area/>Inner pixel position/>Attention weight of feature representation at,/>For/>Local area of imageInner pixel position/>Characterization of the site,/>For/>Individual image local area/>Interior (th)/>The ordinate of each feature representation.
Specifically, keywords in the elevator technical form are identified through OCR text recognition technology.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the embodiments provided in the present invention, it should be understood that the disclosed technology may be implemented in other manners. The system embodiments described above are merely exemplary, and for example, the division of the units is merely a logic function division, and there may be another division manner in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or partly in the form of a software product or all or part of the technical solution, which is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random-access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, etc., which can store program codes.
It is apparent that the above examples are given by way of illustration only and are not limiting of the embodiments. Other variations or modifications of the above teachings will be apparent to those of ordinary skill in the art. It is not necessary here nor is it exhaustive of all embodiments. While still being apparent from variations or modifications that may be made by those skilled in the art are within the scope of the invention.

Claims (10)

1. A method for rapid registration and screening in an elevator information system, comprising:
The method comprises the steps of electronizing elevator technical data, generating elevator technical data pictures, dividing each elevator technical data picture into a plurality of image local areas, extracting characteristic representations of each image local area, comparing the characteristic representations of the image local areas with predefined text characteristic representations in similarity, taking the characteristic representations of the image local areas with similarity exceeding a threshold value as final characteristic representations, and accordingly completing technical information extraction of the elevator technical data and storing the technical information extraction;
When the elevator technical form is required to be filled in an elevator information system, identifying keywords in the elevator technical form, determining technical information of the elevator to be filled in, calculating the position of the technical information in the elevator technical information picture, finding out the final characteristic representation corresponding to the position from the stored final characteristic representation, filling the final characteristic representation into the elevator technical form, and checking the filled elevator technical form.
2. A method of rapid registration and review in an elevator information system as defined in claim 1 wherein extracting a characteristic representation of each of said image local areas comprises:
Wherein, For/>Individual image local area/>Interior (th)/>Representation of the individual features,/>Is the total layer number of the filter,/>To at/>Layer filter is located at the (th) >Individual image local area/>Pixel location within/>Weights of/>To at/>Layer filter of the first kindIndividual image local area/>Interior (th)/>Representation of the individual features,/>For/>Bias terms of the layer filters.
3. A method of rapid registration and review in an elevator information system according to claim 2, wherein comparing the feature representation of the image local area to a predefined text feature representation comprises:
Wherein, For/>Individual image local area/>Interior (th)/>The individual feature representation is associated with a predefined/>Similarity of individual text feature representations,/>For the number of components,/>For/>Weight of individual component,/>For/>Individual image local area/>Interior (th)/>The/>, of the individual feature representationComponent,/>For/>First/>, of the text feature representationComponent,/>As the weights of the weight matrix,For/>Weight matrix of layer filter,/>Is a matrix two-norm.
4. A method of rapid registration and screening in an elevator information system according to claim 3, wherein calculating the location of the technical information in the elevator profile picture comprises:
Wherein, For/>Individual image local area/>Interior (th)/>Abscissa of individual feature representation,/>For/>Individual image local area/>Inner pixel position/>Attention weight of feature representation at,/>For/>Individual image local area/>Inner pixel position/>Characterization of the site,/>For/>Individual image local area/>Interior (th)/>The ordinate of each feature representation.
5. A method of rapid registration and screening in an elevator information system according to claim 4, wherein keywords in the elevator technical form are identified by OCR character recognition technology.
6. A rapid registration and screening system in an elevator information system, comprising:
the feature extraction module is used for electronizing the elevator technical data, generating elevator technical data pictures, dividing each elevator technical data picture into a plurality of image local areas, extracting the feature representation of each image local area, comparing the feature representation of each image local area with a predefined text feature representation in similarity, taking the feature representation of the image local area with similarity exceeding a threshold value as a final feature representation, and thus completing the technical information extraction of the elevator technical data and storing the feature representation;
And the registration module is used for identifying keywords in the elevator technical form when the elevator technical form is required to be filled in the elevator information system, determining the technical information of the elevator required to be filled in, calculating the position of the technical information in the elevator technical material picture, finding the final characteristic representation corresponding to the position from the stored final characteristic representation, filling the final characteristic representation into the elevator technical form, and checking the filled elevator technical form.
7. The rapid registration and review system in an elevator information system of claim 6 wherein extracting a characteristic representation of each of said image local areas comprises:
Wherein, For/>Individual image local area/>Interior (th)/>Representation of the individual features,/>Is the total layer number of the filter,/>To at/>Layer filter is located at the (th) >Individual image local area/>Pixel location within/>Weights of/>To at/>Layer filter of the first kindIndividual image local area/>Interior (th)/>Representation of the individual features,/>For/>Bias terms of the layer filters.
8. The rapid registration and review system in an elevator information system of claim 7 wherein comparing the feature representation of the image local area to a predefined text feature representation comprises:
Wherein, For/>Individual image local area/>Interior (th)/>The individual feature representation is associated with a predefined/>Similarity of individual text feature representations,/>For the number of components,/>For/>Weight of individual component,/>For/>Individual image local area/>Interior (th)/>The/>, of the individual feature representationComponent,/>For/>First/>, of the text feature representationComponent,/>As the weights of the weight matrix,For/>Weight matrix of layer filter,/>Is a matrix two-norm.
9. The rapid registration and inspection system in an elevator information system of claim 8, wherein calculating the location of the technical information in the elevator profile picture comprises:
Wherein, For/>Individual image local area/>Interior (th)/>Abscissa of individual feature representation,/>For/>Individual image local area/>Inner pixel position/>Attention weight of feature representation at,/>For/>Individual image local area/>Inner pixel position/>Characterization of the site,/>For/>Individual image local area/>Interior (th)/>The ordinate of each feature representation.
10. A rapid registration and inspection system in an elevator information system according to claim 9 wherein keywords in the elevator technical form are identified by OCR character recognition technology.
CN202410329201.XA 2024-03-21 2024-03-21 Quick registration and examination method and system in elevator information system Pending CN117952563A (en)

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