An intelligent elevator based on artificial intelligence and a lifting control method thereof

Abstract

The application provides an intelligent elevator based on artificial intelligence and a lifting control method thereof. The method comprises the following steps: when the intelligent elevator reaches a target floor, a laser detector is controlled to detect an up-down elevator area; artificial intelligence technology is used to analyze detection data of the laser detector, and a first absolute point of the up-down elevator area is extracted; real-time running information of the intelligent elevator is acquired, and a second absolute point of the intelligent elevator is determined according to the real-time running information; a deceleration strategy is determined according to a point difference between the second absolute point and the first absolute point, and the intelligent elevator is controlled to stop at the first absolute point and open the door according to the deceleration strategy. The scheme of the application can ensure that the lower edge of the entrance and exit of the intelligent elevator is flush with the up-down elevator area on the floor, and the stability of the construction personnel and the vehicle when entering and exiting is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of elevator technology, in particular to an intelligent lift based on artificial intelligence and a lifting control method thereof. BACKGROUND

[0002] The intelligent lift in the field of construction (also known as intelligent construction lift, as shown in Figure 1 The intelligent lift in the field of construction (also known as intelligent construction lift, as shown in

[0003] However, the existing intelligent lift can only stop at the specified height node according to the fixed program, but as the construction progresses, the height of the landing area at different floors changes to some extent, which leads to the actual height of the landing area may deviate from the above specified height node, which is easy to bring discomfort to the workers and vehicles entering and exiting the lift, and is particularly unfriendly to the handling of fragile objects. SUMMARY

[0004] In order to solve the technical problems existing in the background art, the present application provides a lifting control method of an intelligent lift based on artificial intelligence, an intelligent lift, an electronic device, a computer storage medium and a computer program product.

[0005] The present application provides a lifting control method of an intelligent lift based on artificial intelligence, comprising the following steps:

[0006] When the intelligent lift reaches the target floor, a laser detector is used to detect the landing area; wherein the laser detector is arranged on the side of the intelligent lift facing the landing area;

[0007] The detection data of the laser detector is analyzed using artificial intelligence technology, and the first absolute point of the landing area is extracted;

[0008] Real-time running information of the intelligent lift is obtained, and the second absolute point of the intelligent lift is determined according to the real-time running information;

[0009] According to the point difference between the second absolute point and the first absolute point, a deceleration strategy is determined, and the intelligent lift is controlled to stop at the first absolute point and open the door according to the deceleration strategy.

[0010] Optionally, the use of artificial intelligence technology to analyze the detection data of the laser detector and extract the first absolute point of the landing area comprises:

[0011] Based on the detection data of the laser detector, the third absolute point of the landing area is directly extracted;

[0012] analyzing the detection data of the laser detector using artificial intelligence technology to determine the interface hardness of the up-down ladder area;

[0013] determining a corresponding correction coefficient according to the interface hardness, and performing correction calculation on the third absolute position using the correction coefficient to obtain the first absolute position.

[0014] Optionally, the method further comprises:

[0015] controlling a high-definition camera to detect the inside of the intelligent elevator before the intelligent elevator reaches the target floor, identifying each transport object and extracting feature information thereof;

[0016] performing fragility assessment on each transport object based on the feature information;

[0017] generating a control instruction when the derived fragility assessment value is higher than a preset value, the control instruction being used to control the laser detector to detect the up-down ladder area to determine the first absolute position;

[0018] when the derived fragility assessment value is lower than the preset value, obtaining a fourth absolute position according to the target floor, and controlling the intelligent elevator to stop at the fourth absolute position and open the door.

[0019] Optionally, when the derived fragility assessment value is lower than the preset value, the "obtaining a fourth absolute position according to the target floor, and controlling the intelligent elevator to stop at the fourth absolute position and open the door" is replaced by:

[0020] the intelligent elevator receives an activation signal of a first trigger node corresponding to the target floor when passing through the first trigger node; the activation signal includes a second trigger node corresponding to the running direction of the intelligent elevator and the distance between the second trigger node and the first trigger node;

[0021] determining a deceleration strategy according to the distance, and controlling the intelligent elevator to stop at the second trigger node and open the door according to the deceleration strategy.

[0022] Optionally, the fragility assessment on each transport object based on the feature information comprises:

[0023] performing object comparison on the corresponding transport object based on the feature information to determine a target object; the feature information includes the color, texture, and light transmittance of the transport object;

[0024] determining a first fragility assessment value of the target object according to a preset corresponding relationship;

[0025] determining whether or not the associated action information of the delivery person corresponding to the delivery object is acquired, the associated action information referring to a contact action information implemented by the delivery person for the moving object;

[0026] If yes, the first fragility evaluation value is corrected into a second fragility evaluation value using a first coefficient, otherwise the first fragility evaluation value is corrected into a third fragility evaluation value using a second coefficient; wherein the first coefficient is greater than the second coefficient;

[0027] the second fragility evaluation value or the third fragility evaluation value is used as the fragility evaluation value of the delivery object.

[0028] Optionally, the use of artificial intelligence technology to analyze the detection data of the laser detector to determine the interface hardness of the up and down elevator area comprises:

[0029] According to the emission light wave data and the reflected light wave data of the laser detector, the laser reflectivity is calculated, and the interval range of the laser reflectivity is determined;

[0030] When the laser reflectivity is in the first interval range, it is determined that the interface hardness is the first hardness;

[0031] When the laser reflectivity is in the second interval range, it is determined that the interface hardness is the second hardness;

[0032] When the laser reflectivity is in the third interval range, it is determined that the interface hardness is the third hardness;

[0033] Wherein, the first interval range, the second interval range and the third interval range are sequentially smaller, and the first hardness, the second hardness and the third hardness are sequentially smaller.

[0034] The present application also provides an intelligent elevator, comprising a laser detector, a high-definition camera, a processor, a memory, the processor is electrically connected with the laser detector, the high-definition camera and the memory;

[0035] The memory is used for storing executable program code;

[0036] The laser detector is used for detecting the up and down elevator area of the target floor;

[0037] The high-definition camera is used for detecting the inside of the intelligent elevator;

[0038] The processor is used for calling the detection data of the high-definition camera based on the laser detector, calling the executable program code stored in the memory, and executing the method as any one of the preceding.

[0039] The application further provides an electronic device, comprising a memory storing executable program codes; a processor coupled with the memory; the processor invokes the executable program codes stored in the memory to execute the method according to any one of the preceding method.

[0040] The application further provides a computer storage medium, which stores a computer program, and the computer program is executed by a processor to execute the method according to any one of the preceding method.

[0041] The application further provides a computer program product, which comprises a computer program stored on a non-transitory computer readable medium, and the computer program is executed by a processor to execute the method according to any one of the preceding method.

[0042] The application has the following beneficial effects:

[0043] Compared with the traditional elevator, the application uses artificial intelligence technology to analyze the detection data of the laser detector to accurately obtain the real thickness of the up-and-down area of the target floor, and then determines the parking position of the intelligent elevator, so that the lower edge of the entrance and exit of the intelligent elevator can be kept flush with the up-and-down area of the floor when the thickness of the up-and-down area of the floor changes, and the stability of the construction personnel and vehicles when entering and exiting is improved. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some of the embodiments of the application, and therefore should not be considered as a limitation to the scope. For those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

[0045] Figure 1 is a schematic diagram of the existing elevator disclosed by the embodiment of the application.

[0046] Figure 2 is a flowchart of the lifting control method of the intelligent elevator based on artificial intelligence disclosed by the embodiment of the application.

[0047] Figure 3 is a structural schematic diagram of the intelligent elevator disclosed by the embodiment of the application. DETAILED DESCRIPTION

[0048] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some but not all of the embodiments of the present application. The components of the embodiments of the present application described and shown in the drawings can be arranged and designed in various different configurations.

[0049] Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed application, but only represents selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative labor are within the scope of protection of the present application.

[0050] It should be noted that: similar reference numbers and letters represent similar items in the following drawings, therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0051] In the description of the present application, it should be noted that if the terms "upper", "lower", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship when the product of the present application is usually placed, only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the indicated device or element must have a particular orientation, be constructed and operated in a particular orientation, therefore, it cannot be understood as a limitation on the present application.

[0052] It should be noted that the features in the embodiments of the present application can be combined with each other without conflict.

[0053] As shown in Figure 2 The embodiments of the present application disclose a lifting control method of an intelligent elevator based on artificial intelligence, comprising the following steps:

[0054] When the intelligent elevator reaches the target floor, a laser detector is controlled to detect the up-down ladder area; wherein the laser detector is arranged on one side of the intelligent elevator facing the up-down ladder area;

[0055] The detection data of the laser detector is analyzed using artificial intelligence technology, and the first absolute point of the up-down ladder area is extracted;

[0056] Real-time running information of the intelligent elevator is obtained, and the second absolute point of the intelligent elevator is determined according to the real-time running information;

[0057] According to a point position difference between the second absolute point position and the first absolute point position, a deceleration strategy is determined, and the intelligent elevator is controlled to stop at the first absolute point position and open the door according to the deceleration strategy.

[0058] In the scheme of the present application, the existing intelligent elevator is improved, mainly that a laser detector is arranged on one side of the intelligent elevator facing the up and down elevator area of each floor of the building, and the laser detector is preferably arranged on the cross beam above the door of the intelligent elevator, so that the up and down elevator area can be detected earlier.

[0059] When the intelligent elevator of the present application is used, the worker selects the target floor in the intelligent elevator, and the intelligent elevator runs upward, and when the target floor is about to be reached, the laser detector first enters the height area of the target floor, so that the up and down elevator area can be detected as soon as possible. The first absolute point position of the up and down elevator area can be determined by analyzing the detection data of the laser detector (combined with the real-time point position of itself), and the intelligent elevator itself also accurately monitors the real-time running information, including the reference absolute point position of the intelligent elevator and the running speed and time of the elevator mechanism, etc. According to the above, the second absolute point position of the intelligent elevator can be determined, which refers to the absolute point position of the lower edge of the entrance and exit of the intelligent elevator. Based on the above first absolute point position and second absolute point position, the remaining rising or falling height of the intelligent elevator can be known, so that the corresponding deceleration strategy can be decided according to the predetermined rule, and the intelligent elevator is controlled to stop at the first absolute point position and open the door. Therefore, compared with the traditional elevator, the present application uses artificial intelligence technology to analyze the detection data of the laser detector to accurately obtain the real thickness of the up and down elevator area of the target floor, and then determines the stopping position of the intelligent elevator, so that when the thickness of the up and down elevator area of the floor changes, the lower edge of the entrance and exit of the intelligent elevator can still be flush with the up and down elevator area of the floor, and the stability of the construction personnel and vehicles when entering and exiting is improved.

[0060] Optionally, the detection data of the laser detector is analyzed using artificial intelligence technology to extract the first absolute point position of the up and down elevator area, including:

[0061] The third absolute point position of the up and down elevator area is directly extracted based on the detection data of the laser detector;

[0062] The detection data of the laser detector is analyzed using artificial intelligence technology to determine the interface hardness of the up and down elevator area;

[0063] According to the interface hardness, a corresponding correction coefficient is determined, and the third absolute point position is corrected and calculated using the correction coefficient to obtain the first absolute point position.

[0064] In the embodiment of the present application, the laser detector can accurately detect the third absolute point of the up-and-down ladder area, which is the vertical point of the uppermost layer of the up-and-down ladder area, that is, the directly measured thickness of the up-and-down ladder area. The up-and-down ladder area is normally poured with cement, which belongs to hard ground. Meanwhile, construction workers may place soft materials such as paperboard and woven straw board in the up-and-down ladder area for some reasons, so as to facilitate the entry and exit of construction workers or provide greater friction for vehicles entering and exiting the intelligent elevator. However, the thickness of the above-mentioned soft materials placed in the up-and-down ladder area has no standard and is different for each floor, so further analysis is needed.

[0065] The present application uses artificial intelligence technology to analyze the detection data of the laser detector, thereby quickly and relatively accurately determining the interface hardness of the up-and-down ladder area. Therefore, when the interface hardness of the up-and-down ladder area at this floor is determined to be hard (cement interface), no correction is needed; when the interface hardness of the up-and-down ladder area at this floor is determined to be soft (paper box, straw, etc.), a corresponding correction coefficient is set to appropriately lower the third absolute point detected directly. For example, the third absolute point detected directly is 105 points (in terms of vertical height, the ground is 0 points), and the interface hardness of the up-and-down ladder area analyzed by the above-mentioned method is high, so the correction coefficient is set to 0.5, which makes the absolute point corrected to 100 points, so the intelligent elevator stops at 100 points. When the construction workers or vehicles enter the up-and-down ladder area from the intelligent elevator, the above-mentioned soft materials in the up-and-down ladder area will be pressed down due to their own weight, so that the lower edge of the entrance and exit of the intelligent elevator is flush with the up-and-down ladder area of the floor, ensuring that the stability of the construction workers and vehicles when entering and exiting is still guaranteed even if soft materials are placed.

[0066] It should be noted that glass, ceramic tiles, stone, gypsum board and other materials that are easily damaged during transportation may be used in construction projects. The above-mentioned solution of the present application can effectively reduce the loss of these damaged materials.

[0067] Optionally, the method further comprises:

[0068] Before the intelligent elevator reaches the target floor, the high-definition camera detects the inside of the intelligent elevator, identifies each transport object and extracts its feature information;

[0069] Based on the feature information, the fragility of each transport object is evaluated;

[0070] When the obtained fragility evaluation value is higher than a preset value, a control instruction is generated, which is used to control the laser detector to detect the up-and-down ladder area to determine the first absolute point;

[0071] When the obtained fragility evaluation value is lower than the preset value, a fourth absolute point is obtained according to the target floor, and the intelligent elevator is controlled to stop at the fourth absolute point and open the door.

[0072] In the embodiments of the present application, the scheme of the present application is mainly applicable to the intelligent elevator transporting fragile goods, so it is necessary to identify and analyze whether there are fragile goods in the intelligent elevator in advance, and the above scheme of the present application is implemented after confirming that there are fragile goods, otherwise the conventional elevator control mode is still used, that is, the fourth absolute point corresponding to each target floor is prepared in advance, and the intelligent elevator is controlled to stop and open the door when reaching the corresponding fourth absolute point.

[0073] Alternatively, when the obtained fragility evaluation value is lower than the preset value, the "obtaining a fourth absolute point according to the target floor, and controlling the intelligent elevator to stop at the fourth absolute point and open the door" is replaced by:

[0074] When the intelligent elevator passes through the first trigger node corresponding to the target floor, an activation signal of the first trigger node is received, and the activation signal includes a second trigger node corresponding to the running direction of the intelligent elevator and the distance between the second trigger node and the first trigger node.

[0075] According to the distance, a deceleration strategy is determined, and the intelligent elevator is controlled to stop and open the door when reaching the second trigger node according to the deceleration strategy.

[0076] As an alternative to the foregoing conventional elevator control mode, at least two groups of trigger nodes are arranged on the facade of each floor along the vertical direction of the building, and each group of trigger nodes is located above and below the up-down area of each floor. The first trigger node is farther away from the up-down area than the second trigger node, so the intelligent elevator will first travel to the first trigger node whether it is going up or down. When the intelligent elevator passes through the first trigger node corresponding to the target floor, an activation signal of the first trigger node is received, so that the distance of the second trigger node is known, and the intelligent elevator is controlled to stop when reaching the second trigger node. Therefore, based on the distance between the two trigger nodes, a corresponding deceleration strategy can be determined, so that the intelligent elevator is controlled to stop when reaching the second trigger node with a speed of zero.

[0077] Alternatively, the fragility evaluation of each of the transport objects based on the feature information comprises:

[0078] Based on the feature information, the corresponding transport object is compared with the object, and a target object is determined to be obtained; the feature information includes the color, texture and light transmittance of the transport object.

[0079] determine a first breakability evaluation value of the target object according to a preset corresponding relationship;

[0080] determine whether the associated action information of the delivery personnel corresponding to the delivery object is obtained, the associated action information referring to the contact action information implemented by the delivery personnel on the delivery object;

[0081] If yes, the first breakability evaluation value is corrected to a second breakability evaluation value using a first coefficient, otherwise, the first breakability evaluation value is corrected to a third breakability evaluation value using a second coefficient; wherein the first coefficient is greater than the second coefficient;

[0082] the second breakability evaluation value or the third breakability evaluation value is used as the breakability evaluation value of the delivery object.

[0083] In the embodiment of the present application, the type of the delivery object, such as wood, stone plate, glass product, etc., can be easily confirmed based on the color, texture and light transmittance of the delivery object, and the first breakability evaluation value of the delivery object can be preliminarily determined according to the type and the preset breakability comparison relationship. Meanwhile, the present application also analyzes the associated action information of the relevant personnel who deliver the delivery object in the intelligent elevator, and when it is analyzed that these relevant personnel have implemented contact action information such as hand holding and hand supporting on the delivery object, it is determined that the delivery object has high breakability. For this purpose, the present application sets the first coefficient or the second coefficient to moderately correct the first breakability evaluation value obtained in advance.

[0084] The first coefficient is greater than the second coefficient because the probability that the delivery object is a breakable material is greater when there is a delivery personnel than when there is no delivery personnel, and the probability that the delivery object is a breakable material is greater when the delivery personnel has implemented the associated action information on the delivery object than when the delivery personnel has not implemented the associated action information on the delivery object. Of course, the second coefficient can also be set to 1, that is, the first breakability evaluation value obtained in advance is not corrected when there is no delivery personnel in the intelligent elevator.

[0085] It should be noted that the delivery personnel mentioned above can be personnel who push or operate vehicles, or accompanying personnel other than the above-mentioned personnel.

[0086] Optionally, the use of artificial intelligence technology to analyze the detection data of the laser detector to determine the interface hardness of the up-down elevator area comprises:

[0087] According to the emission light wave data and the reflected light wave data of the laser detector, the laser reflectivity is calculated, and the interval range of the laser reflectivity is determined.

[0088] When the laser reflectivity is within the first range, the interface hardness is determined to be the first hardness;

[0089] When the laser reflectivity is within the second range, the interface hardness is determined to be the second hardness.

[0090] When the laser reflectivity is within the third range, the interface hardness is determined to be the third hardness.

[0091] The range of the first interval, the range of the second interval, and the range of the third interval decrease sequentially, as do the hardness of the first hardness, the hardness of the second hardness, and the hardness of the third hardness.

[0092] In this embodiment of the invention, when a laser irradiates the surface of different materials (e.g., the upper and lower ladder areas may contain hard cement, soft cardboard, straw, etc.), the reflectivity varies significantly due to factors such as the reflectivity, absorptivity, roughness, and color of the different materials. Cement typically has a high reflectivity, so it reflects strong light back after laser irradiation; cardboard typically has a lower reflectivity than cement, so the reflected light may be weaker; straw, as an organic material, may have even lower reflectivity, resulting in weaker reflected light. Therefore, this invention determines the interface hardness of the upper and lower ladder areas based on the laser reflectivity of the irradiated areas.

[0093] It should be noted that there may be other materials of different hardness in the upper and lower ladder areas. The above-mentioned range and corresponding hardness settings of the present invention are only for illustrative purposes and are not intended to limit the above-mentioned range and corresponding hardness to only correspond to cement, cardboard and straw.

[0094] like Figure 3 As shown in the figure, an embodiment of the present invention also discloses an intelligent elevator, including a laser detector, a high-definition camera, a processor, and a memory, wherein the processor is electrically connected to the laser detector, the high-definition camera, and the memory;

[0095] The memory is used to store executable program code;

[0096] The laser detector is used to detect the stairwell area of ​​the target floor;

[0097] The high-definition camera is used to detect the interior of the intelligent elevator;

[0098] The processor is configured to, based on the laser detector and by calling the detection data from the high-definition camera, invoke the executable program code stored in the memory to execute the method described in any of the preceding methods.

[0099] The embodiment of the present application further discloses an electronic device, comprising: a memory storing executable program codes; and a processor coupled with the memory; the processor invokes the executable program codes stored in the memory to execute the method as described in the foregoing embodiments.

[0100] The embodiment of the present application further discloses a computer storage medium, which stores a computer program, and the computer program is executed by a processor to execute the method as described in the foregoing embodiments.

[0101] The embodiment of the present application further discloses a computer program product, which comprises a computer program stored on a non-transitory computer readable medium, and the computer program is executed by a processor to execute the method as described in any one of the foregoing embodiments.

[0102] It should be noted that the storage module (102) in the second embodiment, the memory in the third embodiment, and the computer storage medium in the fourth embodiment can be, but are not limited to, a phase change memory (PRAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), other types of random access memory (RAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory or other memory technology, a compact disc read-only memory (CD-ROM), a digital versatile disc (DVD) or other optical storage, a magnetic cassette, and the like.

[0103] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices generate a device implemented in the flowcharts and / or block diagrams. Figure 1 The device that implements the function specified in one flow or multiple flows and / or blocks Figure 1 The device that implements the function specified in one flow or multiple flows and / or blocks

[0104] These computer program instructions can also be stored in a computer readable storage medium that can direct the computer or other programmable data processing devices to work in a specific manner, so that the instructions stored in the computer readable storage medium produce a manufactured product comprising instruction devices that implement the flowcharts and / or block diagrams. Figure 1 The device that implements the function specified in one flow or multiple flows and / or blocks Figure 1 The device that implements the function specified in one flow or multiple flows and / or blocks

[0105] These computer program instructions can also be loaded into a computer or other programmable data processing devices, so that a series of operational steps are generated to realize the computer-implemented processes in the computer or other programmable devices, and the instructions executed in the computer or other programmable devices provide operational steps for implementing the functions specified in the flowchart Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0106] The above description is merely one specific implementation of the application. However, one of ordinary skill in the art should, in light of the above description, appreciate that many changes and substitutions can be made to the present application. Therefore, the present application has broad scope as set forth in the appended claims.

Claims

1. A lifting control method for an intelligent elevator based on artificial intelligence, characterized in that, Includes the following steps: When the intelligent elevator reaches the target floor, the laser detector is controlled to detect the area where the elevator goes up and down the stairs; wherein, the laser detector is installed on the crossbeam above the door on the side of the intelligent elevator facing the area where the elevator goes up and down the stairs. Artificial intelligence technology is used to analyze the detection data of the laser detector and extract the first absolute point of the upper and lower ladder areas; Obtain the real-time operation information of the intelligent elevator, and determine the second absolute position of the intelligent elevator based on the real-time operation information; A deceleration strategy is determined based on the position difference between the second absolute point and the first absolute point, and the intelligent elevator is controlled to stop and open the door at the first absolute point according to the deceleration strategy. The step of using artificial intelligence technology to analyze the detection data of the laser detector and extracting the first absolute position of the upper and lower ladder areas includes: The third absolute point position of the upper and lower ladder areas can be directly extracted based on the detection data of the laser detector. Artificial intelligence technology is used to analyze the detection data of the laser detector in order to determine the interface hardness of the upper and lower ladder areas; Based on the interface hardness, a corresponding correction coefficient is determined, and the correction coefficient is used to correct the third absolute point to obtain the first absolute point. The step of using artificial intelligence technology to analyze the detection data of the laser detector to determine the interface hardness of the upper and lower ladder areas includes: The laser reflectivity is calculated based on the emitted and reflected light wave data of the laser detector, and the range of the laser reflectivity is determined. When the laser reflectivity is within the first range, the interface hardness is determined to be the first hardness; When the laser reflectivity is within the second range, the interface hardness is determined to be the second hardness. When the laser reflectivity is within the third range, the interface hardness is determined to be the third hardness. Wherein, the first interval range, the second interval range, and the third interval range decrease sequentially, and the first hardness, the second hardness, and the third hardness decrease sequentially; The method further includes: Before the intelligent elevator reaches the target floor, a high-definition camera is controlled to detect the interior of the intelligent elevator, identify each transported object, and extract its feature information; Based on the aforementioned characteristic information, a fragility assessment is performed on each of the transported objects; When the obtained fragility assessment value is higher than the preset value, a control command is generated. The control command is used to control the laser detector to detect the upper and lower ladder areas in order to determine the first absolute position. When the obtained fragility assessment value is lower than the preset value, the fourth absolute point is obtained by looking up the table according to the target floor, and the intelligent elevator is controlled to stop and open the door at the fourth absolute point. The process of assessing the fragility of each transported object based on the aforementioned feature information includes: Based on the feature information, the corresponding transport object is compared to determine the target object; the feature information includes the color, texture, and translucency of the transport object. The first fragility assessment value of the target object is determined based on the preset correspondence; Determine whether the associated action information of the transport personnel corresponding to the transport object has been obtained. The associated action information refers to the contact action information performed by the transport personnel on the transport object. If so, the first fragility assessment value is corrected to the second fragility assessment value using the first coefficient; otherwise, the first fragility assessment value is corrected to the third fragility assessment value using the second coefficient; wherein the first coefficient is greater than the second coefficient. The second fragility assessment value or the third fragility assessment value shall be used as the fragility assessment value of the transported object.

2. The lifting control method for an intelligent elevator based on artificial intelligence according to claim 1, characterized in that: When the obtained fragility assessment value is lower than the preset value, the statement "obtain the fourth absolute point by looking up the table according to the target floor, and control the intelligent elevator to stop and open the door at the fourth absolute point" is replaced with: When the intelligent elevator passes through the first trigger node corresponding to the target floor, it receives an activation signal from the first trigger node; the activation signal includes a second trigger node corresponding to the running direction of the intelligent elevator and its distance from the first trigger node; A deceleration strategy is determined based on the distance, and the intelligent elevator is controlled to stop and open the door when it reaches the second trigger node according to the deceleration strategy.

3. An intelligent elevator, comprising a laser detector, a high-definition camera, a processor, and a memory, wherein the processor is electrically connected to the laser detector, the high-definition camera, and the memory; The memory is used to store executable program code; The laser detector is used to detect the stairwell area of ​​the target floor; The high-definition camera is used to detect the interior of the intelligent elevator; Its features are: The processor is configured to, based on the laser detector and the detection data from the high-definition camera, invoke the executable program code stored in the memory to execute the method as described in claim 1 or 2.

4. An electronic device, comprising: Memory containing executable program code; A processor coupled to the memory; characterized in that: the processor calls the executable program code stored in the memory to execute the method as described in claim 1 or 2.

5. A computer storage medium storing a computer program, characterized in that: The computer program is executed by the processor to perform the method as described in claim 1 or 2.

6. A computer program product comprising a computer program stored on a non-transitory computer-readable medium, characterized in that: When the computer program is executed by a processor, it implements the method as described in claim 1 or 2.

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