CN114938593A - Intelligent elevator control method and device based on neural network - Google Patents

Abstract

The invention relates to the technical field of elevators, in particular to a neural network-based intelligent elevator control method and device. The neural network-based intelligent elevator control device includes a chassis, a controller, a first filter screen, a support table, a motor, a rotating shaft, a fan and a Dustproof assembly; the controller is arranged inside the chassis; the first filter is fixedly connected to the chassis, the support table is fixedly connected to the chassis, the motor is fixedly connected to the support table, the rotating shaft is fixedly connected to the motor output, and the fan is fixedly connected to the rotating shaft. The components are arranged on the side of the chassis away from the first filter screen; the motor drives the shaft and the fan to rotate, and the fan blows out airflow to blow and dissipate the controller.

Description

Intelligent elevator control method and device based on neural network

technical field

The invention relates to the technical field of elevators, in particular to a neural network-based intelligent elevator control method and device.

Background technique

Elevator is a common equipment in life. The control of intelligent elevator based on neural network is mainly completed by controller. However, the existing controller has insufficient heat dissipation effect, and it is easy to affect normal operation due to excessive temperature.

At present, the prior art discloses an intelligent elevator control device based on a neural network, which conducts heat dissipation by opening heat dissipation holes on the casing of the controller.

However, in the above-mentioned method, the heat dissipation is only carried out by the heat dissipation holes, and the heat dissipation effect is limited, and the controller will still be damaged due to excessive temperature after being used for a long time.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a neural network-based intelligent elevator control method and device, which can dissipate heat to the controller and avoid damage to the controller due to excessive temperature.

In order to achieve the above object, in the first aspect, the present invention provides a neural network-based intelligent elevator control device, comprising a chassis, a controller, a first filter screen, a support table, a motor, a rotating shaft, a fan and a dustproof assembly;

The controller is arranged inside the chassis; the first filter screen is fixedly connected to the chassis and is located on the side of the chassis; the support table is fixedly connected to the chassis and located on the side of the chassis ; The motor is fixedly connected with the support table, and is located on the side of the support table; the rotating shaft is rotatably connected with the chassis, and is fixedly connected with the motor output end, and penetrates through the chassis and the filter The fan is fixedly connected with the rotating shaft and is located inside the chassis; the dustproof component is arranged on the side of the chassis away from the first filter screen.

Wherein, the neural network-based intelligent elevator control device further includes a cleaning element; the cleaning element is fixedly connected to the rotating shaft and is located on the side of the rotating shaft.

Wherein, the cleaning member includes an installation frame, two elastic members and a cleaning brush; the installation frame is fixedly connected to the rotating shaft and is located on the side of the rotating shaft; the two elastic members are mirror images arranged on the installation frame two sides; the cleaning brush and the mounting frame are slidably connected and located between the two elastic pieces.

Wherein, the elastic member includes a spring and a clamping plate; the spring is fixedly connected to the installation frame and is located inside the installation frame; the clamping plate is fixedly connected to the spring and is located away from the installation frame from the spring one end.

Wherein, the elastic member further includes a first screw rod; the first screw rod is screwed with the installation frame and is located on the side of the installation frame.

Wherein, the dustproof assembly includes a second filter screen, a connecting block and an electric push rod; the second filter screen is slidably connected to the chassis and is located on the side of the chassis; the connecting block and the second The filter screen is fixedly connected and located on the side of the second filter screen; the electric push rod is fixedly connected with the chassis, and the electric push rod output rod is fixedly connected with the connecting block and is located inside the chassis.

In the second aspect, the present invention also provides a neural network-based intelligent elevator control method, comprising:

Turn on the controller, and control the elevator through the controller;

Turn on the motor, the motor drives the shaft and the fan to rotate, and the fan blows air to dissipate heat from the controller.

According to a neural network-based intelligent elevator control method and device of the present invention, the controller is used to control the intelligent elevator, the support table is used to support the motor, the motor drives the rotating shaft to rotate, and the rotating shaft The fan is driven to rotate, and the fan blows out airflow to blow and dissipate heat to the controller, hot air is discharged through the dust-proof component, and external cold air enters the inside of the chassis through the first filter screen, and the chassis can The controller is isolated from the outside world, so as to prevent the controller from being contaminated with dust and affecting normal operation; by the above method, the controller can be dissipated, and the controller can be prevented from being damaged due to excessive temperature after being used for a long time.

Description of drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings without creative efforts.

FIG. 1 is a schematic structural diagram of a neural network-based intelligent elevator control device of the present invention.

Fig. 2 is a front sectional view of a neural network-based intelligent elevator control device of the present invention.

Fig. 3 is a top sectional view of the cleaning member of the present invention.

Fig. 4 is a flowchart of a neural network-based intelligent elevator control method of the present invention.

1-Chassis, 2-Controller, 3-First filter, 4-Support table, 5-Motor, 6-Rotating shaft, 7-Fan, 8-Dustproof components, 9-Cleaning parts, 11-Box, 12 -Box door, 13-cooling plate, 14-limiting piece, 81-second filter, 82-connection block, 83-electric push rod, 91-installation frame, 92-elastic piece, 93-cleaning brush, 141- Limiting plate, 142-second screw, 143-wear pad, 921-spring, 922-clamp, 923-first screw.

Detailed ways

The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to explain the present invention and should not be construed as limiting the present invention.

In the description of the present invention, it should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientations or positional relationships indicated by "horizontal", "top", "bottom", "inside", "outside", etc. are based on the orientations or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the present invention and simplifying the description, rather than An indication or implication that the referred device or element must have a particular orientation, be constructed and operate in a particular orientation, is not to be construed as a limitation of the invention. In addition, in the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

Please refer to FIG. 1 to FIG. 4. In the first aspect, the present invention provides a neural network-based intelligent elevator control device: comprising a chassis 1, a controller 2, a first filter screen 3, a support table 4, a motor 5, a rotating shaft 6, Fan 7 and dustproof assembly 8;

The controller 2 is arranged inside the casing 1; the first filter screen 3 is fixedly connected to the casing 1 and is located on the side of the casing 1; the support table 4 is fixedly connected to the casing 1, and is located on the side of the chassis 1; the motor 5 is fixedly connected to the support table 4, and is located on the side of the support table 4; the shaft 6 is rotatably connected to the chassis 1, and is connected to the motor 5 The output end is fixedly connected and runs through the case 1 and the filter screen; the fan 7 and the rotating shaft 6 are fixedly connected and located inside the case 1 ; the dustproof component 8 is arranged in the case 1 away from one side of the first filter screen 3 .

In this embodiment, the controller 2 is used to control the intelligent elevator, the support table 4 is used to support the motor 5, the motor 5 drives the rotating shaft 6 to rotate, and the rotating shaft 6 drives the The fan 7 rotates, and the fan 7 blows out airflow to the controller 2 for blowing and cooling, the hot air is discharged through the dustproof assembly 8, and the external cold air enters the inside of the chassis 1 through the first filter screen 3, so the The chassis 1 can isolate the controller 2 from the outside world, preventing the controller 2 from being contaminated with dust and affecting normal work; through the above method, the controller 2 can be radiated to avoid long-term use of the controller 2 damaged due to overheating.

Further, the neural network-based intelligent elevator control device further includes a cleaning member 9 ; the cleaning member 9 is fixedly connected to the rotating shaft 6 and is located on the side of the rotating shaft 6 .

In this embodiment, when the rotating shaft 6 rotates, the cleaning member 9 is driven to rotate along the surface of the first filter screen 3 , and the cleaning member 9 can be used to clean the dust on the surface of the first filter screen 3 . Clean to avoid clogging of the first filter screen 3 .

Further, the cleaning member 9 includes an installation frame 91, two elastic members 92 and a cleaning brush 93; the installation frame 91 is fixedly connected to the rotating shaft 6 and is located on the side of the rotating shaft 6; The mirror pieces 92 are arranged on both sides of the mounting frame 91 ; the cleaning brush 93 is slidably connected to the mounting frame 91 and is located between the two elastic pieces 92 .

In this embodiment, the cleaning brush 93 is used to scrape off the dust on the surface of the first filter screen 3 , the mounting frame 91 is used to support the cleaning brush 93 , and the two elastic members 92 are used for For clamping and fixing the cleaning brush 93 .

Further, the elastic member 92 includes a spring 921 and a clamping plate 922; the spring 921 is fixedly connected to the mounting frame 91, and is located inside the mounting frame 91; the clamping plate 922 is fixedly connected to the spring 921, and It is located at one end of the spring 921 away from the mounting frame 91 .

In this embodiment, the cleaning brush 93 is placed between the two clamping plates 922 , and the two clamping plates 922 can be pushed by the elastic potential energy of the two springs 921 to clamp and fix the cleaning brush 93 .

Further, the elastic member 92 further includes a first screw rod 923 ; the first screw rod 923 is threadedly connected to the mounting frame 91 and is located on the side of the mounting frame 91 .

In this embodiment, rotating the first screw 923 can push the splint 922 to be close to the cleaning brush 93 to improve the fixing effect of the cleaning brush 93 .

Further, the dust-proof assembly 8 includes a second filter screen 81, a connecting block 82 and an electric push rod 83; the second filter screen 81 is slidably connected to the case 1 and is located on the side of the case 1; The connecting block 82 is fixedly connected to the second filter screen 81 and is located on the side of the second filter screen 81; the electric push rod 83 is fixedly connected to the chassis 1, and the output rod of the electric push rod 83 is connected to the The connection block 82 is fixedly connected and located inside the chassis 1 .

In this embodiment, the second filter screen 81 can filter dust and discharge the hot air in the case 1. The case 1 is provided with slots adapted to the second filter screen 81 to pass through the The electric push rod 83 can drive the connection block 82 and the second filter screen 81 to move upward, so that the second filter screen 81 moves into the slot hole in the side wall of the case 1, so that the case 1 The right side is no longer closed, which can improve the efficiency of heat dissipation.

Further, the case 1 includes a case body 11 , a case door 12 , a heat dissipation plate 13 and two limiting members 14 ; the case body 11 is fixedly connected to the first filter screen 3 and is located in the first filter screen 3 . the side of the net 3; the box door 12 and the box body 11 are rotatably connected and located on the side of the box body 11; the heat dissipation plate 13 is fixedly connected to the box body 11 and located in the box body 11 Inside; the two limiting members 14 are respectively fixedly connected to the cooling plate 13 and located on both sides of the controller 2 .

In this embodiment, the heat dissipation plate 13 is used to support the controller 2, the two limiting members 14 can limit the position of the controller 2, and the heat dissipation plate 13 can absorb the control The box door 12 and the box body 11 can isolate the controller 2 from the outside world to prevent the controller 2 from being contaminated with dust.

Further, the limiting member 14 includes a limiting plate 141, a second screw 142 and an anti-wear pad 143; the limiting plate 141 is fixedly connected to the heat dissipation plate 13 and is located on the top of the heat dissipation plate 13; The second screw 142 and the limiting plate 141 are threadedly connected and pass through the limiting plate 141; the anti-wear pad 143 and the second screw 142 are fixedly connected, and are located on the second screw 142 close to the control device 2 side.

In this embodiment, when the second screw 142 is rotated, the second screw 142 moves horizontally on the limiting plate 141 , and the second screw 142 drives the anti-wear pad 143 to approach the controller 2 . The two anti-wear pads 143 can fix the position of the controller 2 .

In the second aspect, the present invention also provides a neural network-based intelligent elevator control method, comprising:

S1 turns on the controller 2, and controls the elevator through the controller 2;

The controller 2 is used to control the intelligent elevator.

S2 turns on the motor 5, the motor 5 drives the shaft 6 and the fan 7 to rotate, and the fan 7 blows air to dissipate the heat from the controller 2;

The support table 4 is used to support the motor 5, the motor 5 drives the rotating shaft 6 to rotate, the rotating shaft 6 drives the fan 7 to rotate, and the fan 7 blows out airflow to blow the controller 2 for heat dissipation. , the hot air is discharged through the dust-proof assembly 8, and the external cold air enters the inside of the chassis 1 through the first filter screen 3, and the chassis 1 can isolate the controller 2 from the outside world, preventing the controller 2 Contaminated with dust and affect normal work.

The above disclosure is only a preferred embodiment of the present invention, and of course, it cannot limit the scope of rights of the present invention. Those of ordinary skill in the art can understand that all or part of the process for realizing the above-mentioned embodiment can be realized according to the rights of the present invention. The equivalent changes required to be made still belong to the scope covered by the invention.

Claims (7)

1. a kind of intelligent elevator control device based on neural network, is characterized in that, Including chassis, controller, first filter, support table, motor, shaft, fan and dustproof components; The controller is arranged inside the chassis; the first filter screen is fixedly connected to the chassis and is located on the side of the chassis; the support table is fixedly connected to the chassis and located on the side of the chassis ; The motor is fixedly connected with the support table, and is located on the side of the support table; the rotating shaft is rotatably connected with the chassis, and is fixedly connected with the motor output end, and penetrates through the chassis and the filter The fan is fixedly connected with the rotating shaft and is located inside the chassis; the dustproof component is arranged on the side of the chassis away from the first filter screen. 2. a kind of intelligent elevator control device based on neural network as claimed in claim 1 is characterized in that, The neural network-based intelligent elevator control device further includes a cleaning member; the cleaning member is fixedly connected to the rotating shaft and is located on the side of the rotating shaft. 3. a kind of intelligent elevator control device based on neural network as claimed in claim 2 is characterized in that, The cleaning member includes an installation frame, two elastic members and a cleaning brush; the installation frame is fixedly connected to the rotating shaft and is located on the side of the rotating shaft; the two elastic members are mirror images arranged on both sides of the installation frame ; The cleaning brush and the mounting frame are slidably connected and located between the two elastic pieces. 4. a kind of intelligent elevator control device based on neural network as claimed in claim 3 is characterized in that, The elastic member includes a spring and a clamping plate; the spring is fixedly connected to the installation frame and is located inside the installation frame; the clamping plate is fixedly connected to the spring and is located at an end of the spring away from the installation frame. 5. a kind of intelligent elevator control device based on neural network as claimed in claim 4 is characterized in that, The elastic member further includes a first screw rod; the first screw rod is screwed with the mounting frame and is located on the side of the mounting frame. 6. a kind of intelligent elevator control device based on neural network as claimed in claim 5 is characterized in that, The dustproof assembly includes a second filter screen, a connection block and an electric push rod; the second filter screen is slidably connected to the chassis and is located on the side of the chassis; the connection block and the second filter screen The electric push rod is fixedly connected to the chassis, and the electric push rod output rod is fixedly connected to the connection block, and is located inside the chassis. 7. A neural network-based intelligent elevator control method, applied to a neural network-based intelligent elevator control device according to any one of claims 1 to 6, characterized in that, comprising: Turn on the controller, and control the elevator through the controller; Turn on the motor, the motor drives the shaft and the fan to rotate, and the fan blows air to dissipate heat from the controller.

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