Intelligent detection system for cleaning status of hospital equipment

Abstract

The present invention relates to an intelligent detection system for the cleaning status of hospital instruments, comprising: a synchronous control device, which is respectively connected to a visual monitor and an instrument cleaning device, and is used to realize the synchronous control of the cleaning action of the instrument cleaning device and the visual monitoring action of the visual monitor; an identification operation device, which is used to extract the imaging pattern in the received step-by-step enhanced image based on the geometric shape of the reference pattern corresponding to the hospital instrument, and then use the radial basis neural network model based on various visual information of the imaging pattern to identify the surface cleaning level of the latest hospital instruments. Through the present invention, on the basis of targeted step-by-step image enhancement processing, an artificial intelligence mode can be used to perform high-precision identification of the cleaning surface level of each hospital instrument that has just been cleaned based on multiple visual information, thereby improving the analysis accuracy of the cleaning status of hospital instruments and avoiding medical accidents caused by instrument contamination.

Description

Technical Field

[0001] The present invention relates to the field of hospital equipment, and in particular to an intelligent detection system for cleaning status of hospital equipment. Background Art

[0002] Generally, hospital devices are used on and inside the human body to achieve the following intended purposes: (a) prevention, diagnosis, treatment, monitoring, and relief of disease; (b) diagnosis, treatment, monitoring, relief, and compensation of injury or disability; (c) study, substitution, and regulation of anatomical or physiological processes; and (d) pregnancy control.

[0003] Hospital devices can be divided into three categories: the first category refers to hospital devices whose safety and effectiveness can be guaranteed through routine management; the second category refers to hospital devices whose safety and effectiveness should be controlled; the third category refers to hospital devices that are implanted in the human body to support and maintain life, pose potential risks to the human body, and whose safety and effectiveness must be strictly controlled.

[0004] Hospital instruments are generally expensive and are therefore reused. Therefore, each time a hospital instrument is used, it is necessary to clean the instrument after use. A commonly used method is to clean a large number of used hospital instruments piece by piece. For example, a medical device cleaning flushing device disclosed in invention CN117531267A includes a shell, a water inlet tank is integrally formed at the top of the shell, and a rotating tank is rotatably arranged above the water inlet tank, a water pipe is arranged inside the shell, the bottom end of the water pipe passes through the middle of the bottom end of the shell, and the top end is divided into a plurality of independent water outlets and passes through the outer wall of the water inlet tank, and a plurality of water outlet holes are opened in the middle of the rotating tank, and the cleaning liquid enters the water inlet tank through the water pipe and enters the rotating tank through the water outlet; the present invention uses a water pipe, a rotating mechanism and a telescopic mechanism, etc., so that the high-pressure water flow is introduced into the water inlet tank through the water pipe and can drive the rotating mechanism to rotate, and the centrifugal force generated when the rotating tank rotates is used to make the cleaning brush extend outward under the restriction of the telescopic mechanism until it fits with the inner wall of the filter cavity, and rotates to clean under the drive of the rotating tank, and at the same time, the high-pressure water is sprayed from the inside of the rotating tank through the water outlet nozzle to cooperate with the rotating tank to clean. However, the cleanliness of each hospital instrument directly determines whether the hospital instrument can be put into next use. This requires a very high-precision hospital instrument surface cleaning status detection mechanism to evaluate the cleaning effect of each hospital instrument after cleaning. Obviously, such a high-precision detection mechanism is lacking in the existing technology. Summary of the invention

[0005] In order to solve the technical problems in the related field, the present invention provides an intelligent detection system for cleaning status of hospital equipment, the system comprising:

[0006] A synchronous control device, connected to the visual monitor and the instrument cleaning device, respectively, for realizing synchronous control of the cleaning action of the instrument cleaning device and the visual monitoring action of the visual monitor;

[0007] A visual monitor is placed above the monitoring flat panel in a horizontal position, and is used to perform real-time shooting processing of the overhead picture of the environment where the monitoring flat panel is located, so as to obtain a real-time image of the scene when there are hospital instruments with an excessive number of occupied pixels in the preview image of the overhead picture of the environment where the monitoring flat panel is located;

[0008] A step-by-step enhancement mechanism, connected to the visual monitor, is used to sequentially perform image spatial domain enhancement processing, edge sharpening processing, and arithmetic mean filtering processing on the received on-site real-shot images, so as to obtain and output corresponding step-by-step enhanced images;

[0009] An identification operation device is connected to the step-by-step enhancement mechanism, and is used to extract an imaging pattern in the received step-by-step enhancement image based on the geometric shape of the reference pattern corresponding to the hospital instrument, uniformly divide the imaging pattern corresponding to the hospital instrument to obtain various acquisition sub-blocks corresponding to the hospital instrument, determine the values ​​of various color components of each acquisition sub-block corresponding to the hospital instrument, input the maximum noise amplitude in the imaging pattern corresponding to the hospital instrument, the values ​​of various color components of each acquisition sub-block corresponding to the hospital instrument, the number of pixel points occupied by a single acquisition sub-block, and the number of acquisition sub-blocks obtained by uniform division into a radial basis neural network model, and execute the radial basis neural network model to obtain the latest surface cleaning level of the hospital instrument outputted by it, wherein determining the values ​​of various color components of each acquisition sub-block corresponding to the hospital instrument includes: taking the average of the values ​​of each color component of each pixel point constituting each acquisition sub-block corresponding to the hospital instrument as the value of the color component of the acquisition sub-block;

[0010] Wherein, extracting the imaging pattern in the received progressively enhanced image based on the geometric shape of the reference pattern corresponding to the hospital equipment includes: the reference pattern corresponding to the hospital equipment only includes a single piece of hospital equipment with the highest surface cleaning level;

[0011] Among them, the synchronous control of the cleaning action of the instrument cleaning device and the visual monitoring action of the visual monitor includes: the instrument cleaning device is set at the front end of the visual monitor, and each time the synchronous control device detects that the instrument cleaning device completes a cleaning action of the latest hospital instrument, the latest hospital instrument is pushed to the top of the horizontally placed monitoring flat panel to trigger the latest visual monitoring action of the visual monitor and obtain the real-life image of the scene.

[0012] The technical solution of the present invention can, on the basis of targeted step-by-step image enhancement processing, use an artificial intelligence model to perform high-precision identification of the cleaning surface level of each hospital instrument that has just been cleaned based on multiple visual information, thereby improving the accuracy of analysis of the cleaning status of hospital instruments and reducing various types of pollution caused by hospital instruments. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The embodiments of the present invention will be described below with reference to the accompanying drawings.

[0014] Figure 1 Schematic diagram of the internal structure of an intelligent detection system for cleaning status of hospital instruments according to Embodiment A of the present invention.

[0015] Figure 2 Schematic diagram of the internal structure of an intelligent detection system for cleaning status of hospital instruments according to Embodiment B of the present invention.

[0016] Figure 3 Schematic diagram of the internal structure of an intelligent detection system for cleaning status of hospital instruments according to Embodiment C of the present invention. DETAILED DESCRIPTION

[0017] The implementation scheme of the intelligent detection system for cleaning status of hospital instruments of the present invention will be described in detail below with reference to the accompanying drawings.

[0018] Figure 1 The internal structure diagram of the hospital equipment cleaning status intelligent detection system according to embodiment A of the present invention is shown, and the system includes:

[0019] A synchronous control device, connected to the visual monitor and the instrument cleaning device, respectively, for realizing synchronous control of the cleaning action of the instrument cleaning device and the visual monitoring action of the visual monitor;

[0020] A visual monitor is placed above the monitoring flat panel in a horizontal position, and is used to perform real-time shooting processing of the overhead picture of the environment where the monitoring flat panel is located, so as to obtain a real-time image of the scene when there are hospital instruments with an excessive number of occupied pixels in the preview image of the overhead picture of the environment where the monitoring flat panel is located;

[0021] Specifically, the visual monitor is placed above the monitoring flat panel in a horizontal position, and is used to perform real-time shooting processing of the overhead picture of the environment where the monitoring flat panel is located, so as to obtain a real-time image of the scene, when there is a hospital instrument with an excessive number of occupied pixels in the preview image of the overhead picture of the environment where the monitoring flat panel is located, so as to obtain a real-time image of the scene, including: the visual monitor has a built-in photoelectric sensor and an overhead lens, which are used to perform real-time shooting processing of the overhead picture of the environment where the monitoring flat panel is located, so as to obtain a real-time image of the scene;

[0022] A step-by-step enhancement mechanism, connected to the visual monitor, is used to sequentially perform image spatial domain enhancement processing, edge sharpening processing, and arithmetic mean filtering processing on the received on-site real-shot images, so as to obtain and output corresponding step-by-step enhanced images;

[0023] For example, the step-by-step enhancement mechanism is connected to the visual monitor and is used to sequentially perform image spatial domain enhancement processing, edge sharpening processing and arithmetic mean filtering processing on the received on-site real-shot images to obtain and output the corresponding step-by-step enhanced images, including: the step-by-step enhancement mechanism can be implemented by using an FPGA chip, connected to the visual monitor, and is used to sequentially perform image spatial domain enhancement processing, edge sharpening processing and arithmetic mean filtering processing on the received on-site real-shot images to obtain and output the corresponding step-by-step enhanced images;

[0024] An identification operation device is connected to the step-by-step enhancement mechanism, and is used to extract an imaging pattern in the received step-by-step enhancement image based on the geometric shape of the reference pattern corresponding to the hospital instrument, uniformly divide the imaging pattern corresponding to the hospital instrument to obtain various acquisition sub-blocks corresponding to the hospital instrument, determine the values ​​of various color components of each acquisition sub-block corresponding to the hospital instrument, input the maximum noise amplitude in the imaging pattern corresponding to the hospital instrument, the values ​​of various color components of each acquisition sub-block corresponding to the hospital instrument, the number of pixel points occupied by a single acquisition sub-block, and the number of acquisition sub-blocks obtained by uniform division into a radial basis neural network model, and execute the radial basis neural network model to obtain the latest surface cleaning level of the hospital instrument outputted by it, wherein determining the values ​​of various color components of each acquisition sub-block corresponding to the hospital instrument includes: taking the average of the values ​​of each color component of each pixel point constituting each acquisition sub-block corresponding to the hospital instrument as the value of the color component of the acquisition sub-block;

[0025] Wherein, extracting the imaging pattern in the received progressively enhanced image based on the geometric shape of the reference pattern corresponding to the hospital equipment includes: the reference pattern corresponding to the hospital equipment only includes a single piece of hospital equipment with the highest surface cleaning level;

[0026] Wherein, realizing the synchronous control of the cleaning action of the instrument cleaning device and the visual monitoring action of the visual monitor includes: the instrument cleaning device is arranged at the front end of the visual monitor, and the synchronous control device pushes the latest hospital instrument to the top of the horizontally placed monitoring flat panel every time it detects that the instrument cleaning device completes the cleaning action of the latest hospital instrument to trigger the latest visual monitoring action of the visual monitor and obtain the on-site real-time image;

[0027] Among them, the step-by-step enhancement mechanism is connected to the visual monitor, and is used to perform image spatial domain enhancement processing, edge sharpening processing and arithmetic mean filtering processing on the received on-site real-shot images in sequence to obtain and output corresponding step-by-step enhanced images, including: the step-by-step enhancement mechanism includes a first enhancement component, a second enhancement component and a third enhancement component, which are used to perform image spatial domain enhancement processing, edge sharpening processing and arithmetic mean filtering processing on the received image signals respectively.

[0028] Figure 2 Schematic diagram of the internal structure of an intelligent detection system for cleaning status of hospital instruments according to Embodiment B of the present invention.

[0029] Compared with implementation A, the hospital equipment cleaning status intelligent detection system shown in implementation B may also include the following components:

[0030] A DSP control chip is connected to the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device respectively, and is used to provide configuration operations of working parameters for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner;

[0031] For example, the DSP control chip is connected to the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device respectively, and is used to provide the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device with a configuration operation of working parameters in a time-sharing manner, including: the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device respectively have different parameter configuration addresses;

[0032] The DSP control chip is respectively connected to the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device, and is used to provide the configuration operation of working parameters for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner, including: the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device share the same working parameter configuration interface;

[0033] Wherein, the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device use different configuration address data;

[0034] Wherein, a parallel connection of a communication data link is established between each of the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device through a parallel data bus;

[0035] Among them, the parallel connection of the communication data link established between each of the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device through a parallel data bus includes: the parallel data bus is one of an 8-bit parallel data bus, a 16-bit parallel data bus and a 32-bit parallel data bus.

[0036] Figure 3 Schematic diagram of the internal structure of an intelligent detection system for cleaning status of hospital instruments according to Embodiment C of the present invention.

[0037] Compared with implementation scheme A, the hospital equipment cleaning status intelligent detection system shown in implementation scheme C may also include the following components:

[0038] An electric power support device is connected to the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device respectively, and is used to provide power distribution support of different working voltages for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner;

[0039] The power support device is respectively connected to the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device, and is used to provide power distribution support of different working voltages for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner, including: two or more devices with the same working voltage requirements among the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device use the same power supply line;

[0040] Wherein, the power support device is respectively connected with the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device, and is used to provide power distribution support of different working voltages for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner, and further includes: the power support device is an uninterruptible power supply device;

[0041] Wherein, the power support device is respectively connected with the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device, and is used to provide power distribution support with different working voltages for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner, and further includes: providing different working voltages including 3.3V working voltage for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner;

[0042] And wherein, the power support device is respectively connected to the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device, and is used to provide power distribution support with different working voltages for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner, and also includes: providing different working voltages including 5V working voltage for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner.

[0043] In addition, in the hospital equipment cleaning status intelligent detection system, the step-by-step enhancement mechanism includes a first enhancement component, a second enhancement component and a third enhancement component, which are used to perform image spatial domain enhancement processing, edge sharpening processing and arithmetic mean filtering processing on the received image signal respectively, including: the second enhancement component is connected to the first enhancement component and the third enhancement component respectively;

[0044] And wherein, the step-by-step enhancement mechanism includes a first enhancement component, a second enhancement component and a third enhancement component, which are used to perform image spatial domain enhancement processing, edge sharpening processing and arithmetic mean filtering processing on the received image signal, and also includes: using different programmable logic devices to respectively implement the first enhancement component, the second enhancement component and the third enhancement component.

[0045] The outstanding substantive features and remarkable progress of the present invention are embodied in:

[0046] Firstly, a step-by-step enhancement mechanism is introduced to sequentially perform image spatial domain enhancement processing, edge sharpening processing and arithmetic mean filtering processing on the captured images of the environment where the latest cleaned medical equipment is located, so as to obtain and output corresponding step-by-step enhanced images, thereby obtaining step-by-step enhanced images with better quality than the captured images, and providing more reliable basic data for the subsequent intelligent detection of the cleaning status of the latest cleaned hospital equipment;

[0047] Secondly: extracting an imaging pattern in the received progressively enhanced image based on the geometric shape of the reference pattern corresponding to the hospital instrument, uniformly segmenting the imaging pattern corresponding to the hospital instrument to obtain various acquisition sub-blocks corresponding to the hospital instrument, and determining various color component values ​​of each acquisition sub-block corresponding to the hospital instrument, wherein the average value of each color component of each pixel constituting each acquisition sub-block corresponding to the hospital instrument is used as the color component value of the acquisition sub-block, and the reference pattern corresponding to the hospital instrument only includes a single piece of hospital instrument with the highest surface cleaning level;

[0048] Again: the maximum noise amplitude in the imaging pattern corresponding to the hospital equipment, the values ​​of various color components of each acquisition sub-block corresponding to the hospital equipment, the number of pixels occupied by a single acquisition sub-block, and the number of acquisition sub-blocks obtained by uniform segmentation are input into the radial basis function neural network model, and the radial basis function neural network model is executed to obtain its output of the latest surface cleaning level of the hospital equipment, thereby realizing intelligent detection of the cleaning status of the latest cleaned hospital equipment.

[0049] The intelligent detection system for the cleaning status of hospital instruments of the present invention addresses the technical problem of insufficient detection accuracy of the cleaning status of hospital instruments in the prior art. On the basis of targeted step-by-step image enhancement processing, the intelligent detection system for the cleaning status of hospital instruments of the present invention can use an artificial intelligence model to perform high-precision identification of the cleaning surface level of each newly cleaned hospital instrument based on multiple visual information, thereby improving the analysis accuracy of the cleaning status of hospital instruments and avoiding medical accidents caused by instrument contamination.

[0050] Although preferred embodiments of the present invention have been described in detail above, it will be appreciated that numerous variations and / or modifications to the basic inventive concepts taught herein will be apparent to those skilled in the art and fall within the spirit and scope of the invention as defined by the appended claims.

Claims

1. An intelligent detection system for cleaning status of hospital equipment, characterized in that: The system comprises: A synchronous control device, connected to the visual monitor and the instrument cleaning device, respectively, for realizing synchronous control of the cleaning action of the instrument cleaning device and the visual monitoring action of the visual monitor; A visual monitor is placed above the monitoring flat panel in a horizontal position, and is used to perform real-time shooting processing of the overhead picture of the environment where the monitoring flat panel is located, so as to obtain a real-time image of the scene when there are hospital instruments with an excessive number of occupied pixels in the preview image of the overhead picture of the environment where the monitoring flat panel is located; A step-by-step enhancement mechanism, connected to the visual monitor, is used to sequentially perform image spatial domain enhancement processing, edge sharpening processing, and arithmetic mean filtering processing on the received on-site real-shot images, so as to obtain and output corresponding step-by-step enhanced images; An identification operation device is connected to the step-by-step enhancement mechanism, and is used to extract an imaging pattern in the received step-by-step enhancement image based on the geometric shape of the reference pattern corresponding to the hospital instrument, uniformly divide the imaging pattern corresponding to the hospital instrument to obtain various acquisition sub-blocks corresponding to the hospital instrument, determine the values ​​of various color components of each acquisition sub-block corresponding to the hospital instrument, input the maximum noise amplitude in the imaging pattern corresponding to the hospital instrument, the values ​​of various color components of each acquisition sub-block corresponding to the hospital instrument, the number of pixel points occupied by a single acquisition sub-block, and the number of acquisition sub-blocks obtained by uniform division into a radial basis neural network model, and execute the radial basis neural network model to obtain the latest surface cleaning level of the hospital instrument outputted by it, wherein determining the values ​​of various color components of each acquisition sub-block corresponding to the hospital instrument includes: taking the average of the values ​​of each color component of each pixel point constituting each acquisition sub-block corresponding to the hospital instrument as the value of the color component of the acquisition sub-block; Wherein, extracting the imaging pattern in the received progressively enhanced image based on the geometric shape of the reference pattern corresponding to the hospital equipment includes: the reference pattern corresponding to the hospital equipment only includes a single piece of hospital equipment with the highest surface cleaning level; Wherein, realizing the synchronous control of the cleaning action of the instrument cleaning device and the visual monitoring action of the visual monitor includes: the instrument cleaning device is arranged at the front end of the visual monitor, and the synchronous control device pushes the latest hospital instrument to the top of the horizontally placed monitoring flat panel every time it detects that the instrument cleaning device completes the cleaning action of the latest hospital instrument to trigger the latest visual monitoring action of the visual monitor and obtain the on-site real-time image; A DSP control chip is connected to the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device respectively, and is used to provide configuration operations of working parameters for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner; Wherein, the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device respectively have different parameter configuration addresses; Wherein, the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device share the same working parameter configuration interface; Wherein, the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device use different configuration address data; Wherein, a parallel connection of a communication data link is established between each of the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device through a parallel data bus, and the parallel data bus is one of an 8-bit parallel data bus, a 16-bit parallel data bus and a 32-bit parallel data bus.

2. The intelligent detection system for cleaning status of hospital equipment according to claim 1, characterized in that: A step-by-step enhancement mechanism is connected to the visual monitor and is used to sequentially perform image spatial domain enhancement processing, edge sharpening processing and arithmetic mean filtering processing on the received on-site real-shot images to obtain and output corresponding step-by-step enhanced images. The step-by-step enhancement mechanism includes a first enhancement component, a second enhancement component and a third enhancement component, which are used to respectively perform image spatial domain enhancement processing, edge sharpening processing and arithmetic mean filtering processing on the received image signals.

3. The intelligent detection system for cleaning status of hospital equipment according to claim 2, characterized in that: The system further comprises: An electric power support device is connected to the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device respectively, and is used to provide power distribution support of different working voltages for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner; Among them, the power support device is respectively connected to the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device, and is used to provide power distribution support with different working voltages for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner, including: among the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device, two or more devices with the same working voltage requirements use the same power supply line.

4. The intelligent detection system for cleaning status of hospital equipment according to claim 3, characterized in that: The power support device is respectively connected to the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device, and is used to provide power distribution support with different working voltages for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner, and also includes: the power support device is an uninterruptible power supply device.

5. The intelligent detection system for cleaning status of hospital equipment according to claim 4, characterized in that: The power support device is respectively connected to the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device, and is used to provide power distribution support with different working voltages for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner, and also includes: providing different working voltages including 3.3V working voltage for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner.

6. The intelligent detection system for cleaning status of hospital equipment according to claim 5, characterized in that: The power support device is respectively connected to the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device, and is used to provide power distribution support with different working voltages for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner, and also includes: providing different working voltages including a 5V working voltage for the synchronous control device, the visual monitor, the step-by-step enhancement mechanism and the identification operation device in a time-sharing manner.

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