Elevator floor selection method based on digital imaging and elevator system

Through the elevator floor selection method based on digital imaging, the correlation coefficient is calculated using the optical information processing unit and the target lens, the elevator floor selection without mechanical buttons is realized, which solves the problem of low efficiency in floor selection of elevators in high-rise buildings and improves the elevator operation efficiency.

CN120191808APending Publication Date: 2025-06-24GUANGDONG SUZUKI ELEVATOR
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Patent Information

Application Number
CN202510269918.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-07
Publication Date
2025-06-24

AI Technical Summary

Technical Problem

In elevators in high-rise buildings, due to the increase in the number of floors, the mechanical floor selection button increases, resulting in low efficiency in the floor selection process, and the floor selection time is too long, which in turn affects the elevator operation efficiency.

Method used

Using the elevator layer selection method based on digital imaging, the image light information of the elevator user is obtained through the optical information processing unit and the target lens, the correlation coefficient between the optical information image and the preset optical information template image is calculated, and whether to perform response layer selection summoning.

Benefits of technology

This method does not require users to look for mechanical buttons, which significantly saves the elevator time during the floor selection stage and improves the elevator's operating efficiency.

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Abstract

The invention discloses an elevator floor selection method based on digital imaging and an elevator system, and belongs to the technical field of elevators. The method is applied to the elevator control device, the elevator control device is provided with an optical information processing unit and a target lens, an optical information image of the target lens is acquired by acquiring the optical information processing unit, and a first outer surface of the target lens is used for receiving image light information of an elevator user in the elevator floor selection process; the first outer surface is the outer surface corresponding to one end, far away from the optical information processing unit, of the two outer surfaces of the target lens; calculating a correlation coefficient according to the optical information image and a preset optical information template image; and according to the correlation coefficient, whether the response floor selection calling corresponding to the preset optical information template image is executed or not is determined, the efficiency of the elevator in the floor selection process is improved, and then the new field of elevator human-computer interface digital application is increased.
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Description

Technical Field

[0001] The present invention relates to the field of elevators, and particularly to an elevator floor selection method and an elevator system based on digital imaging. Background Art

[0002] In high-rise buildings with dense traffic, elevators are the main vertical transportation tools. Currently, elevator control panels are generally provided with multiple mechanical floor selection buttons. In high-rise building elevators, as the number of floors increases, the corresponding floor selection buttons also need to be increased accordingly. This floor selection method will affect the floor selection efficiency of users in high-rise buildings, resulting in the problem of too long floor selection time during the operation of the elevator, and further leading to the problem of too low elevator operation efficiency.

[0003] The above content is only used to assist in understanding the technical solution of the present invention, and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main purpose of the present invention is to provide an elevator floor selection method, device, elevator and storage medium based on digital imaging, aiming to improve the efficiency of the elevator during the floor selection process.

[0005] To achieve the above purpose, the present invention provides an elevator floor selection method based on digital imaging, which is applied to an elevator control device. The elevator control device is provided with an optical information processing unit and a target lens. The elevator floor selection method based on digital imaging includes the following steps:

[0006] Obtain an optical information image of the target lens collected by the optical information processing unit. The first outer surface of the target lens is used to receive the image light information of the elevator user during the elevator floor selection process. The first outer surface is the outer surface corresponding to the end far from the optical information processing unit among the two outer surfaces of the target lens;

[0007] Calculate the correlation coefficient according to the optical information image and a preset optical information template image;

[0008] Determine whether to execute a response floor selection call corresponding to the preset optical information template image according to the correlation coefficient.

[0009] Optionally, the step of calculating the correlation value of the correlation peak according to the optical information image and the preset optical information template image includes:

[0010] Determine the position coordinates of the first correlation peak in the optical information image according to the optical information image and the corresponding gradient algorithm;

[0011] Calculate the correlation coefficient according to the first correlation peak and the second correlation peak corresponding to the preset optical information template image.

[0012] Optionally, the step of determining the position coordinates of the first correlation peak in the optical information image according to the optical information image and the corresponding gradient algorithm includes:

[0013] Calculate the gradient magnitudes in two directions of the optical information image according to the gradient algorithm to obtain a first gradient magnitude corresponding to a first direction and a second gradient magnitude corresponding to a second direction, where the first direction is perpendicular to the second direction;

[0014] Determine the target gradient magnitude corresponding to the gradient direction according to the gradient direction algorithm, the first gradient magnitude, and the second gradient magnitude;

[0015] Determine the position coordinates in the optical information image according to the target gradient magnitude.

[0016] Optionally, the step of calculating the correlation coefficient according to the first correlation peak and the second correlation peak corresponding to the preset optical information template image includes:

[0017] Calculate the cross-correlation coefficient according to the first correlation peak and the second correlation peak;

[0018] Calculate the first autocorrelation coefficient corresponding to the first correlation peak and the second autocorrelation coefficient corresponding to the second correlation peak respectively;

[0019] Determine the correlation coefficient according to the cross-correlation coefficient, the first autocorrelation coefficient, and the second autocorrelation coefficient.

[0020] Optionally, before the step of determining whether to execute the response layer call corresponding to the preset optical information template image according to the correlation coefficient, it further includes:

[0021] Associate user information with the preset optical information template image, where the user information includes the user's floor information.

[0022] Optionally, the number of the preset optical information template images is multiple, and the correlation coefficient corresponds to the preset optical information template image one by one. The step of determining whether to execute the response layer call corresponding to the preset optical information template image according to the correlation coefficient includes:

[0023] When there is a correlation coefficient greater than or equal to the threshold, control the elevator to select the floor corresponding to the correlation coefficient greater than or equal to the threshold as the registration information;

[0024] When there is no correlation coefficient greater than or equal to the threshold, stop the elevator from selecting a floor.

[0025] Optionally, the target lens surface includes a first region and a second region, and the surface roughness between the first region and the second region is different.

[0026] In addition, to achieve the above object, the present invention further provides an elevator floor selection system based on digital imaging, which is applied to an elevator control device. The elevator control device is provided with an optical information processing unit and a target lens. The elevator floor selection system based on digital imaging includes:

[0027] An acquisition module, configured to acquire an optical information image of the target lens collected by the optical information processing unit. The first outer surface of the target lens is used to receive image light information of an elevator user during the elevator floor selection process. The first outer surface is the outer surface corresponding to one end of the two outer surfaces of the target lens that is far from the optical information processing unit;

[0028] A calculation module, configured to calculate a correlation coefficient according to the optical information image and a preset optical information template image;

[0029] A floor selection module, configured to determine whether to execute a response floor selection call corresponding to the preset optical information template image according to the correlation coefficient.

[0030] The elevator floor selection system based on digital imaging herein is actually an elevator system.

[0031] In addition, to achieve the above object, the present invention further provides an elevator, which includes: an elevator control device, a memory, a processor, and an elevator floor selection program based on digital imaging stored on the memory and executable on the processor. The elevator floor selection program based on digital imaging is configured to implement the steps of the elevator floor selection method described in any one of the above.

[0032] In addition, to achieve the above object, the present invention further provides a storage medium, on which an elevator floor selection program based on digital imaging is stored. When the elevator floor selection program based on digital imaging is executed by a processor, it implements the steps of the elevator floor selection method described in any one of the above.

[0033] The present invention provides an elevator floor selection method based on digital imaging. By acquiring an optical information image of the target lens collected by the optical information processing unit, calculating a correlation coefficient according to the optical information image and a preset optical information template image, and determining whether to execute a response floor selection call corresponding to the preset optical information template image according to the correlation coefficient, compared with the solution of a control panel provided with multiple mechanical buttons, it does not require the user to spend time looking for the corresponding floor button during the floor selection process, can effectively save the time of the elevator in the floor selection stage, and thus improve the operation efficiency of the elevator. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is the electrical schematic diagram of elevator floor selection for the embodiment solution of the present invention;

[0035] Figure 2 It is a schematic structural diagram of an elevator in the hardware operating environment involved in the embodiment solution of the present invention;

[0036] Figure 3 It is a schematic flowchart of the first embodiment of the elevator floor selection method based on digital imaging of the present invention;

[0037] Figure 4 It is a schematic flowchart of the second embodiment of the elevator floor selection method based on digital imaging of the present invention;

[0038] Figure 5 It is a correlation peak algorithm diagram of the second embodiment of the elevator floor selection method based on digital imaging of the present invention.

[0039] Figure 6 It is a schematic flowchart of the third embodiment of the elevator floor selection method based on digital imaging of the present invention;

[0040] Figure 7 It is a schematic diagram of floor selection of the elevator operation box for the elevator floor selection method based on digital imaging of the present invention;

[0041] The realization, functional characteristics and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. Specific embodiments

[0042] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0043] Refer to Figure 1 , Figure 1 It is the electrical schematic diagram of elevator floor selection for the embodiment solution of the present invention, Figure 1 which includes an operation box command board, containing floor selection devices corresponding to multiple floors. On the right is a digital-to-analog conversion electrical signal control unit, responsible for receiving button signals and processing them.

[0044] Refer to Figure 2 , Figure 2 It is a schematic structural diagram of an elevator in the hardware operating environment involved in the embodiment solution of the present invention.

[0045] Such as Figure 2As shown in the figure, the elevator may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, an interaction device 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The interaction device 1003 may include a display screen and an input unit such as a keyboard. Optionally, the interaction device 1003 may also be connected to the communication bus through a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wireless-Fidelity (WI-FI) interface). The memory 1005 may be a high-speed Random Access Memory (RAM) or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0046] Those skilled in the art can understand that Figure 2 the structure shown in the figure does not constitute a limitation on the elevator, and it may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0047] As Figure 2 shown, the memory 1005, as a storage medium, may include an operating system, a data storage module, a network communication module, a user interface module, and an elevator floor selection program based on digital imaging.

[0048] In Figure 2 the elevator shown in the figure, the network interface 1004 is mainly used for data communication with other devices; the interaction device 1003 is mainly used for data interaction with users; the processor 1001 and the memory 1005 in the elevator of the present invention may be arranged in the elevator. The elevator calls the elevator floor selection program based on digital imaging stored in the memory 1005 through the processor 1001 and executes the elevator floor selection method based on digital imaging provided by the embodiments of the present invention.

[0049] The embodiments of the present invention provide an elevator floor selection method based on digital imaging. Referring to Figure 3 , Figure 3 is a schematic flowchart of the first embodiment of an elevator floor selection method based on digital imaging of the present invention.

[0050] In this embodiment, applied to an elevator control device, the elevator control device is provided with an optical information processing unit and a target lens. The elevator floor selection method based on digital imaging includes:

[0051] Step S1: Obtain the optical information image of the target lens collected by the optical information processing unit. The first outer surface of the target lens is used to receive the image light information of the elevator user during the elevator floor selection process. The first outer surface is the outer surface corresponding to the end of the two outer surfaces of the target lens that is far from the optical information processing unit.

[0052] In this embodiment, the target lens is embedded on the control box inside the elevator car. The elevator can be provided with a light source to ensure that the optical information processing unit can receive the optical information image. The optical information processing unit here refers to a component that converts optical signals into electrical signals, which can be a Charge-Coupled Device (CCD) or a Complementary Metal Oxide Semiconductor (CMOS). Specifically, the light information here can include the user's gestures, fingerprints, and face information. Specifically, the user's fingerprint is specifically obtained when the user places a finger at a preset distance from the target lens. Specifically, the optical information processing unit obtains the light incident from the target lens and converts the optical signal into an electrical signal to obtain the optical information image.

[0053] Step S2: Calculate the correlation coefficient according to the optical information image and the preset optical information template image.

[0054] The number of preset optical information template images here is multiple, generally the number of users using the elevator. By extracting the same type of data in the optical information image and the preset optical information template image, the correlation coefficient is calculated. The correlation coefficient is used to indicate whether the optical information image is the same as the preset optical information template image. Of course, it should be explained that not all data in the optical information image needs to be calculated for the correlation coefficient with the preset optical information template image.

[0055] Step S3: Determine whether to execute the response floor selection call corresponding to the preset optical information template image according to the correlation coefficient.

[0056] Preferably, the range of the correlation coefficient here is from 0 to 1. When the optical information image is the same as the preset optical information template layout, the correlation coefficient here is 1; when the optical information image is completely incoherent with the preset optical information template layout, the correlation coefficient here is 0; when there is partial identity between the optical information image and the preset optical information template layout, the correlation coefficient here is greater than 0 and less than 1. In this embodiment, a correlation coefficient threshold is set, and the correlation coefficient is compared with the threshold. Optionally, when the correlation coefficient is greater than or equal to the correlation coefficient threshold, it is determined to execute the response layer selection call corresponding to the preset optical information template image; when the correlation coefficient is less than the correlation coefficient threshold, it is determined not to execute the layer selection call.

[0057] In this embodiment, by acquiring the optical information image of the target lens collected by the optical information processing unit, calculating the correlation coefficient based on the optical information image and the preset optical information template image, and determining whether to execute the response layer selection call corresponding to the preset optical information template image according to the correlation coefficient, compared with the solution of setting a control panel with multiple mechanical buttons, it does not require the user to spend time looking for the corresponding floor button during the layer selection process, and can effectively save the time when the elevator is in the layer selection stage, thereby improving the operating efficiency of the elevator.

[0058] Further, based on the first embodiment, a second embodiment of the elevator layer selection method based on digital imaging according to the present invention is proposed. In this embodiment, referring to Figure 4 , the step of calculating the correlation value of the correlation peak according to the optical information image and the preset optical information template image includes:

[0059] Step S21, determining the position coordinates of the first correlation peak in the optical information image according to the optical information image and the corresponding gradient algorithm;

[0060] In this embodiment, the gradient algorithm here can be to calculate the change amount of the light intensity value between two adjacent pixels. Of course, for an optical information image with a high number of pixels, the image can be compressed before determining the position coordinates of the first correlation peak. Optionally, in this embodiment, the gradient algorithm here can be an edge processing algorithm. The position coordinates of the first correlation peak specifically refer to the center coordinates of the first correlation peak;

[0061] Step S22, calculating the correlation coefficient according to the second correlation peak corresponding to the preset optical information template image, the first correlation peak, and the corresponding position coordinates.

[0062] Specifically, the range of the first correlation peak is determined according to the position coordinates and the area of the second correlation peak to ensure the accuracy of the calculation process. In this embodiment, since the preset optical information template may store information related to gestures, fingerprints, and faces, there will be second correlation peaks that occupy different numbers of image pixels. After determining the position range of the first correlation peak, the correlation coefficient with the second correlation peak is calculated.

[0063] In this embodiment, by using the optical information image and the corresponding gradient algorithm to determine the position coordinates of the first correlation peak in the optical information image, the position of the first correlation peak in the optical information image can be located, thereby improving the accuracy of calculating the correlation coefficient.

[0064] Further, the step of determining the position coordinates of the first correlation peak in the optical information image according to the optical information image and the corresponding gradient algorithm includes:

[0065] Calculate the gradient magnitudes in two directions of the optical information image according to the gradient algorithm to obtain the first gradient magnitude corresponding to the first direction and the second gradient magnitude corresponding to the second direction, where the first direction is perpendicular to the second direction;

[0066] Determine the target gradient magnitude corresponding to the gradient direction according to the gradient direction algorithm, the first gradient magnitude, and the second gradient magnitude;

[0067] Specifically, the formula for calculating the gradient magnitude is as follows:

[0068]

[0069] Here, g(x, y) is the gradient magnitude, f(x, y) is the optical information image, and here are the partial derivatives in the X and Y directions respectively.

[0070] In addition, the formula for calculating the gradient direction is as follows:

[0071] θg = arctan(Gx, Gy)

[0072] Here, θg is the gradient direction.

[0073] Determine the position coordinates in the optical information image according to the target gradient magnitude.

[0074] Specifically, the first correlation peak is determined by comparing the gradient magnitude with a preset threshold range, and the position coordinates of the first correlation peak are determined.

[0075] Further, the step of calculating the correlation coefficient according to the first correlation peak and the second correlation peak corresponding to the preset optical information template image includes:

[0076] Calculate the cross - correlation coefficient based on the first correlation peak and the second correlation peak;

[0077] Calculate the first autocorrelation coefficient corresponding to the first correlation peak and the second autocorrelation coefficient corresponding to the second correlation peak respectively;

[0078] Determine the correlation coefficient based on the cross - correlation coefficient, the first autocorrelation coefficient and the second autocorrelation coefficient.

[0079] Specifically, referring to Figure 5 , Figure 5 which is a diagram of the correlation peak algorithm. The calculation formula of the correlation coefficient is as follows:

[0080]

[0081] Here, ρ is the correlation coefficient, J(x,y) here is the pixel value corresponding to the first correlation peak, and J(x,y) here is the pixel value corresponding to the second correlation peak.

[0082] In this embodiment, when the correlation coefficient is greater than or equal to the threshold, control the elevator to select the floor corresponding to the correlation coefficient greater than or equal to the threshold as the registration information; when the correlation coefficient is less than the threshold, stop the elevator from selecting a floor, or prompt that the floor selection input is incorrect.

[0083] In this embodiment, by calculating the correlation coefficient to determine whether there is a match, the accuracy of the matching recognition result of the correlation peak can be improved algorithmically.

[0084] Further, based on the first embodiment or the second embodiment, a third embodiment of the elevator floor selection method based on digital imaging is proposed. In this embodiment, before the step of determining whether to execute the response floor selection call corresponding to the preset optical information template image according to the correlation coefficient, it further includes:

[0085] Associate the user information with the preset optical information template image, and the user information includes the user's floor information.

[0086] Specifically, for elevator users in an office building, different users have different office areas. For example, A, B, C, and D respectively correspond to the elevator stops at the 16th, 17th, 18th, and 19th floors. The user information is associated with the preset optical information template image. In actual matching, the matching is performed according to the height order of the floors. Optionally, the management personnel can also independently set a fixed matching order.

[0087] In this embodiment, by performing the matching in a predetermined order, it can ensure that the floor selection operation can be completed on behalf of the user, improving the accuracy of the floor selection process.

[0088] Further, the number of the preset optical information template images is multiple, and the correlation coefficient corresponds to the preset optical information template image one by one. Refer to Figure 6 , the step S3 may include:

[0089] Step S31, when there is a correlation coefficient greater than or equal to the threshold, control the elevator to select the floor corresponding to the correlation coefficient greater than or equal to the threshold as the registration information;

[0090] Step S32, when there is no correlation coefficient greater than or equal to the threshold, stop the elevator from selecting a floor.

[0091] In addition, it should be noted that when there are more than one correlation coefficients greater than or equal to the threshold, select the floor corresponding to the highest correlation coefficient.

[0092] Specifically, from the perspective of protecting personal privacy, some elevator passengers are not willing to let outsiders know the building they arrive at. After controlling the elevator to select the floor corresponding to the correlation coefficient greater than or equal to the threshold as the registration information, it further includes:

[0093] Display the prompt color corresponding to the registration information;

[0094] It should be noted that, refer to Figure 7 , Figure 7 is a schematic diagram of the floor selection of the elevator operation box, and the floor number after the floor selection is not displayed inside the car. That is, the common prompts including numbers such as: F12, F13, and F14, etc. When reaching the corresponding floor, the prompt color in the car flashes or disappears, so as to prompt the user to reach the corresponding floor. It should be noted that this prompt method does not directly prompt the current floor selection situation. Only users on the same floor can determine the color corresponding to their floor. During the elevator floor selection process, users can determine whether the elevator will reach their floor according to the displayed color after entering the elevator car, thus realizing the avoidance of privacy leakage while further improving the efficiency of elevator floor selection. In this embodiment, in fact, there is no limitation on the mechanical buttons on the control box. For the floors where the parking lot is located, the first floor, etc., corresponding mechanical buttons can be set. Further, there may be a difference in at least one of color, saturation, and lightness between the two colors. Further, for too many floors, specific patterns can be selected to replace the prompt color to indicate the reached floor.

[0095] Further, the surface of the target lens includes a first region and a second region, and the surface roughness between the first region and the second region is different.

[0096] Optionally, the first region is the central region of the target lens surface, and the second region is the edge region of the target lens surface. Using this method can increase the volume of the lens while avoiding the situation of low quality of the light generated by the user.

[0097] In addition, an embodiment of the present invention further provides an elevator floor selection device based on digital imaging, which is applied to an elevator control device. The elevator control device is provided with an optical information processing unit and a target lens. The elevator floor selection device based on digital imaging includes:

[0098] An acquisition module, configured to acquire an optical information image of the target lens collected by the optical information processing unit. The first outer surface of the target lens is used to receive image light information of an elevator user during the elevator floor selection process. The first outer surface is the outer surface corresponding to one end of the two outer surfaces of the target lens that is far from the optical information processing unit;

[0099] A calculation module, configured to calculate a correlation coefficient according to the optical information image and a preset optical information template image;

[0100] A floor selection module, configured to determine whether to execute a response floor selection call corresponding to the preset optical information template image according to the correlation coefficient;

[0101] The elevator floor selection device based on digital imaging can implement the steps of the elevator floor selection method based on digital imaging.

[0102] In addition, an embodiment of the present invention further provides an elevator, which includes: an elevator control device, a memory, a processor, and an elevator floor selection program based on digital imaging stored on the memory and executable on the processor. The elevator floor selection program based on digital imaging is configured to implement the steps of the elevator floor selection method based on digital imaging described in any one of the above.

[0103] In addition, an embodiment of the present invention further provides a storage medium, on which an elevator floor selection program based on digital imaging is stored. When the elevator floor selection program based on digital imaging is executed by a processor, it implements the steps of the elevator floor selection method based on digital imaging described in any one of the above.

[0104] It should be noted that in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or system. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article or system including the element.

[0105] The serial numbers of the embodiments of the present invention above are only for description and do not represent the superiority or inferiority of the embodiments.

[0106] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product is stored in a storage medium as described above (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to enable a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present invention.

[0107] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. An elevator floor selection method based on digital imaging, characterized in that: Applied to an elevator operating device, the elevator operating device is provided with an optical information processing unit and a target lens, and the elevator floor selection method based on digital imaging comprises the following steps: Acquire the light information image of the target lens collected by the light information processing unit, wherein the first outer surface of the target lens is used to receive image light information of the elevator user during the elevator floor selection process, and the first outer surface is the outer surface corresponding to the end away from the light information processing unit among the two outer surfaces of the target lens; Calculating a correlation coefficient based on the light information image and a preset light information template image; Determine whether to execute a response layer selection call corresponding to a preset light information template image according to the correlation coefficient.

2. The elevator floor selection method based on digital imaging according to claim 1, characterized in that: The step of calculating the correlation value of the correlation peak according to the light information image and the preset light information template image comprises: Determine the position coordinates of a first correlation peak in the light information image according to the light information image and a corresponding gradient algorithm; The correlation coefficient is calculated according to the first correlation peak and a second correlation peak corresponding to the preset light information template image.

3. The elevator floor selection method based on digital imaging according to claim 2, characterized in that: The step of determining the position coordinates of the first correlation peak in the light information image according to the light information image and the corresponding gradient algorithm comprises: Calculating gradient amplitudes in two directions of the light information image according to the gradient algorithm to obtain a first gradient amplitude corresponding to a first direction and a second gradient amplitude corresponding to a second direction, wherein the first direction is perpendicular to the second direction; Determine a target gradient amplitude corresponding to the gradient direction according to a gradient direction algorithm, the first gradient amplitude, and the second gradient amplitude; The position coordinates are determined in the light information image according to the target gradient amplitude.

4. The elevator floor selection method based on digital imaging according to claim 2, characterized in that: The step of calculating the correlation coefficient according to the first correlation peak and the second correlation peak corresponding to the preset light information template image comprises: Calculating a mutual correlation coefficient based on the first correlation peak and the second correlation peak; respectively calculating a first autocorrelation coefficient corresponding to the first correlation peak and a second autocorrelation coefficient corresponding to the second correlation peak; The correlation coefficient is determined based on the mutual correlation coefficient, the first autocorrelation coefficient, and the second autocorrelation coefficient.

5. The elevator floor selection method based on digital imaging according to claim 1, characterized in that: Before the step of determining whether to execute the response layer selection call corresponding to the preset light information template image according to the correlation coefficient, the method further includes: The user information is associated with the preset light information template image, wherein the user information includes the user's floor information.

6. The elevator floor selection method based on digital imaging according to claim 1, characterized in that: There are multiple preset light information template images, and the correlation coefficients correspond to the preset light information template images one by one. The step of determining whether to execute the response layer selection call corresponding to the preset light information template image according to the correlation coefficients includes: When the correlation coefficient is greater than or equal to the threshold, the elevator is controlled to select the floor corresponding to the correlation coefficient greater than or equal to the threshold as the registration information; When there is no correlation coefficient greater than or equal to the threshold, the elevator floor selection is stopped.

7. The elevator floor selection method based on digital imaging according to any one of claims 1 to 6, characterized in that: The target lens surface includes a first area and a second area, and the surface roughness of the first area is different from that of the second area.

8. An elevator floor selection system based on digital imaging, characterized in that: Applied to an elevator operating device, the elevator operating device is provided with an optical information processing unit and a target lens, and the elevator floor selection system based on digital imaging comprises: An acquisition module, used for acquiring the light information image of the target lens collected by the light information processing unit, wherein the first outer surface of the target lens is used for receiving the image light information of the elevator user during the elevator floor selection process, and the first outer surface is the outer surface corresponding to the end of the two outer surfaces of the target lens farthest from the light information processing unit; A calculation module, used for calculating a correlation coefficient based on the light information image and a preset light information template image; The layer selection module is used to determine whether to execute a response layer selection call corresponding to a preset light information template image according to the correlation coefficient.

9. An elevator, characterized in that: The elevator comprises: an elevator operating device, a memory, a processor, and an elevator floor selection program based on digital imaging stored in the memory and executable on the processor, wherein the elevator floor selection program based on digital imaging is configured to implement the steps of the elevator floor selection method based on digital imaging as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores an elevator floor selection program based on digital imaging, and when the elevator floor selection program based on digital imaging is executed by the processor, the steps of the elevator floor selection method based on digital imaging as described in any one of claims 1 to 7 are implemented.