A fault identification method, an image forming apparatus, and a storage medium

Abstract

The present invention discloses a fault identification method, an image forming apparatus, and a storage medium. The method includes obtaining a first image of a first area; an irregular pattern and a limit identifier for indicating the zero position in the scanning area are provided; when it is recognized that the limit identifier does not exist in the first image, obtaining a second image of the first area, and determining whether the scanning device is faulty according to the comparison result between the second image and the first image; when it is recognized that the limit identifier exists in the first image, obtaining the signal state information of the zero position sensing unit at the current moment, and determining whether the zero position sensing unit is faulty according to the signal state information. The present invention can accurately and quickly locate the faults of the driving unit or the zero position sensing unit by combining the changes in the irregular pattern, the limit identifier, and the signal state information of the zero sensing unit, improve the fault location efficiency, not only can avoid mechanical impacts, but also can accurately find out the fault location, display the fault cause, and facilitate maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of image formation, and in particular, to a fault recognition method, an image forming apparatus, and a storage medium. Background Art

[0002] When starting a scanning process in an image forming apparatus such as a scanner or a multifunction printer, zero point calibration, also known as in-situ calibration, needs to be performed. When the scanner is powered on, in order to prevent the image sensing unit from stopping behind the zero point position sensing unit, the driving unit is first controlled to drive the image sensing unit to move forward a short distance to ensure that the image sensing unit is in front of the zero point position sensing unit (this process is briefly referred to as moving forward to find the zero point). Then, the driving unit drives the image sensing unit to move in the opposite direction to find the zero point position again. When the state information of the zero point position sensing unit changes, it is determined that the zero point position has been reached, and the scanner is controlled to stop moving further. In order to ensure that the image sensing unit can also normally return to the zero point position when it stops at the maximum distance position in the advancing direction of the scanning area when powered on, a relatively long distance will be moved during the process of moving in the opposite direction to find the zero point until the state information of the zero point position sensing unit changes again and the image sensing unit is controlled to stop moving further (this process is briefly referred to as moving backward to find the zero point).

[0003] Currently, usually when the image forming apparatus reaches the zero point position, the information change mode of the zero point sensing unit is used to identify whether the zero point sensing unit has a fault. Once the zero point position is reached and the information of the zero point sensing unit does not change, the user will think that the zero point sensing unit has a fault. The accuracy of this fault recognition method is low. In fact, it may be caused by other device faults, such as a driving motor having a fault while the zero point sensing unit is operating normally, so that the zero point sensing unit does not change the signal because it does not reach the zero point position. Therefore, there is an urgent need to provide a method that can more accurately locate the device where the image forming apparatus has a fault. Summary of the Invention

[0004] In view of this, the present invention provides a fault recognition method, an image forming apparatus, and a storage medium, so as to accurately and quickly locate a fault of the driving unit or the zero point position sensing unit during the scanning process by combining an irregular pattern, a limit mark, and the signal state information change of the zero point sensing unit, improve the fault location efficiency, not only avoid mechanical impact and reduce equipment losses, but also accurately find the fault location, facilitate maintenance, and improve the user experience.

[0005] In a first aspect, an embodiment of the present invention provides a fault recognition method, which is applied to an image forming apparatus, and the fault recognition method includes:

[0006] During the process of the scanning device moving in the direction of the first area in the scanning area, a first image of the first area at the current moment is acquired; wherein, an irregular pattern for the scanning device to read is arranged on the first area, the first area includes a second area, and a limit mark for indicating the zero position in the scanning area is arranged on the second area; a zero position sensing unit is arranged at the zero position.

[0007] When it is recognized that the limit mark does not exist in the first image, a second image of the first area at an adjacent moment is acquired, and whether the scanning device is faulty is determined according to the comparison result between the second image and the first image.

[0008] When it is recognized that the limit mark exists in the first image, the signal state information of the zero position sensing unit at the current moment is acquired, and whether the zero position sensing unit is faulty is determined according to the signal state information, wherein the zero position sensing unit and the limit mark are at the same horizontal position.

[0009] In a feasible implementation manner, the comparison result is used to indicate whether the second image is the same as the first image. Determining whether the scanning device is faulty according to the comparison result between the second image and the first image includes:

[0010] If the second image is the same as the first image, it is determined that the scanning device is faulty.

[0011] If the second image is not the same as the first image, it is determined that the scanning device is normal.

[0012] In a feasible implementation manner, if the second image is the same as the first image, determining that the scanning device is faulty includes,

[0013] If the proportion of the preset color pixel points of the second image is the same as that of the first image, or the brightness value of the second image is the same as that of the first image, or the size of the preset color area of the second image is the same as that of the first image, it is determined that the scanning device is faulty.

[0014] In a feasible implementation manner, the scanning device includes an image sensing unit and a driving unit connected to the image sensing unit, and the driving unit drives the image sensing unit to move.

[0015] In a feasible implementation manner, after it is determined that the scanning device is faulty when the second image is the same as the first image, it includes:

[0016] The driving unit is controlled by a program to rotate, and a third image of the first area after rotation is read.

[0017] If the third image is still the same as the first image, it is determined that the drive unit is faulty.

[0018] In a feasible implementation, when it is recognized that the limit mark exists in the first image, the signal state information of the zero position sensing unit at the current moment is obtained, and it is determined whether the zero position sensing unit is faulty according to the signal state information, including:

[0019] If it is recognized that the limit mark exists in the first image and the signal state information of the zero position sensing unit indicates that it has not been updated, it is determined that the zero position sensing unit is faulty;

[0020] If it is recognized that the limit mark exists in the first image and the signal state information of the zero position sensing unit indicates that it has been updated, it is determined that the zero position sensing unit is normal.

[0021] In a feasible implementation, the limit mark is further used to indicate the maximum distance position at which the scanning device moves. After it is recognized that the limit mark exists in the first image, the scanning device is controlled to stop moving.

[0022] In a feasible implementation, the limit mark is a regular pattern and is arranged at intervals from the zero position sensing unit.

[0023] In a second aspect, an embodiment of the present invention further provides an image forming apparatus, which includes a memory and a processor. The image forming apparatus further includes a scanning device and a zero position sensing unit. When the program instructions are loaded and executed by the processor, the steps of the fault recognition method described in the first aspect are implemented.

[0024] In a third aspect, an embodiment of the present invention further provides a computer storage medium, which includes a stored program. When the program runs, it controls the device where the storage medium is located to execute the fault recognition method described in the first aspect.

[0025] The present invention provides a fault identification method, an image forming apparatus, and a storage medium. The fault identification method includes: during the process of the scanning device moving in the direction of the first area in the scanning area, obtaining a first image of the first area at the current moment; wherein, an irregular pattern for the scanning device to read is provided on the first area, the first area includes a second area, and a limit mark for indicating the zero position in the scanning area is provided in the second area; a zero position sensing unit is provided at the zero position; when it is recognized that the limit mark does not exist in the first image, obtaining a second image of the first area at an adjacent moment, and determining whether the scanning device is faulty according to the comparison result between the second image and the first image; when it is recognized that the limit mark exists in the first image, obtaining the signal state information of the zero position sensing unit at the current moment, and determining whether the zero position sensing unit is faulty according to the signal state information, wherein the zero position sensing unit and the limit mark are at the same horizontal position. The present invention can accurately and quickly locate the faults of the driving unit or the zero position sensing unit during the scanning process by combining the changes in the irregular pattern, the limit mark, and the signal state information of the zero sensing unit, improving the fault location efficiency. It can not only avoid mechanical impacts caused by the continuous movement of the scanner, but also accurately find the fault location, display the fault cause, and facilitate maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0027] Figure 1 is a flowchart of a fault identification method provided by an embodiment of the present invention;

[0028] Figure 2 is a top view schematic diagram of a flatbed scanner during the scanning process provided by an embodiment of the present invention;

[0029] Figure 3 is a structural block diagram of an image forming apparatus provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The present invention will be further described in detail below with reference to the accompanying drawings.

[0031] In order to make the purpose, technical solutions, and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0032] Example 1

[0033] An embodiment of the present invention provides a fault identification method. Figure 1 It is a flowchart of a fault identification method provided by an embodiment of the present invention. As Figure 1 described, the fault identification method includes:

[0034] 101. During the process of the scanning device moving in the direction of the first area in the scanning area, obtain the first image of the first area at the current moment; wherein, an irregular pattern for the scanning device to read is set on the first area, the first area includes a second area, and a limit mark for indicating the zero position in the scanning area is set on the second area; a zero position sensing unit is set at the zero position.

[0035] In an embodiment of the present invention, each step is executed by an image forming device. For example, the image forming device includes a printer, a scanner, a copier, a fax machine, and a multi-function peripheral (MFP) that executes functions such as printing, copying, scanning, and faxing in a single device.

[0036] In this step, the image forming device includes a scanning device, a zero sensing unit, a driving unit, and an image sensing unit. The scanning device includes an image sensing unit and a driving unit connected to the image sensing unit, and the driving unit drives the image sensing unit to move. Among them, the scanning device can be an ADF automatic document feeder, a scanner, etc. The driving unit is a stepping motor in this embodiment. The image sensing unit can be a CCD image sensor or a CIS image sensor.

[0037] Please refer to Figure 2 , Figure 2 illustrates a top view schematic diagram of the scanning process of a flatbed scanner. As Figure 2 shown, the flatbed scanner includes a scanner upper cover 1, a rectangular scanning area 2 is set on the scanner upper cover 1, and a recording medium such as paper or a document can be placed on the scanning area 2 for scanning. A driving unit 5 that can move along the scanning direction of the scanning area 2 is arranged below the scanner upper cover 1, and the driving unit 5 is connected to the image sensing unit 3 through a belt 4. During scanning, the driving unit 5 drives the image sensing unit 3 to move along the scanning direction through the belt 4, so as to scan the recording medium on the scanning area 2 and obtain a scanned image. Before scanning the recording medium, the flatbed scanner needs to perform zero position calibration (commonly known as zero finding) to ensure the accuracy of the scanned image.

[0038] In an embodiment of the present invention, the scanning direction is defined to include a main scanning direction and a sub-scanning direction. The main scanning direction is the short side direction of the scanning area 2, and the sub-scanning direction is perpendicular to the main scanning direction and is the long side direction of the scanning area 2. A zero position sensing unit 6 is provided at the middle position of the short side of the scanning area 2 (i.e., the scanning start position).

[0039] In an embodiment of the present invention, the zero position sensing unit 6 can be a photoelectric sensor, a photoresistor, etc. Any device that can detect the change in the state information of whether light is blocked can be used as the zero position sensing unit 6.

[0040] In an embodiment of the present invention, the scanning area includes a first area. An irregular pattern 9 for the scanning device to read is provided at the position corresponding to the border of the scanning area. The first area is a rectangular area. The irregular pattern can partially fill the first area or completely fill the first area. Setting the irregular pattern in the first area is because if the image corresponding to the pattern obtained at the middle position in the sub-scanning direction during scanning movement is a symmetric image, it will be considered that the images obtained at the front and back movement times have not changed, resulting in a misjudgment of a failure. Therefore, setting the irregular pattern in the first area can not only improve the recognition accuracy but also avoid the occurrence of misjudgment probability.

[0041] In some embodiments, the irregular pattern can be an irregular n-sided polygon pattern, such as an irregular triangle, square, vertical bar pattern, or some patterns with dense black and white changes, which is convenient for the program to read and recognize. The first area is relatively narrow and has fewer pixels, so the program can quickly perform arithmetic comparisons and is convenient for timing reading and judgment. The scanning area is relatively narrow and has fewer pixels, so the program can perform arithmetic comparisons relatively quickly and is convenient for timing reading and judgment.

[0042] Further, the first area includes a second area, which is the two end areas of the first area, and the area of the second area is smaller than that of the first area. A limit mark for indicating the zero position in the scanning area is provided in the second area. Specifically, the limit mark 10 is a regular pattern, which is arranged at a distance from the zero position sensing unit, that is, the limit mark can be set at both ends in the long side direction of the first area, that is, the positions of the two second areas. The limit mark 10 can be a regular small rectangle pattern, such as a square black and white pattern, a rectangular black and white pattern, etc., or a regular pattern with different colors.

[0043] In an embodiment of the present invention, the limit identifier includes a start limit identifier and an end limit identifier. When both the start limit identifier and the end limit identifier are detected, it indicates that the flatbed scanner has moved to the edge, and then the control scanning device is not allowed to move further, regardless of whether the status information of the detected zero-point sensing unit changes. Among them, the start limit identifier and the end limit identifier can be distinguished by the same pattern with different widths, which is also convenient for determining whether the current scanning device has moved to the start limit identifier or the end limit identifier.

[0044] It should be noted that there is a certain distance between the zero point and the overall edge 7 of the flatbed scanner device. If the status information of the zero-point sensing unit does not change, the flatbed scanner will think that it will still reach the zero point and continue to move, thus hitting the overall edge of the flatbed scanner device or even derailing directly. Therefore, in an embodiment of the present invention, a limit identifier is set at the same horizontal position as the zero point, which is used to further determine that the zero point has been reached by detecting the limit identifier when the zero-point sensor fails, and then control the flatbed scanner to stop moving further, avoiding equipment damage and reducing losses. Among them, the same horizontal position refers to the position parallel to the short side direction of the scanning area.

[0045] In this step, in order to eliminate the interference of the image sensing unit capable of reading images and make the recognition result more accurate. During the process of the scanning device moving in the sub-scanning direction, first, the image sensing unit is controlled not to read images, and the scanning of the scanning area is performed through a program. Thus, during the moving process, the first image of the first area is obtained. The first image includes the image corresponding to the irregular pattern. When the scanning device moves to the same horizontal position as the zero point, the first image also includes the image corresponding to the limit identifier. The first image is read through the program at preset time intervals to detect whether the current first image contains the limit identifier, so as to determine whether it has moved to the maximum distance position, that is, the zero point.

[0046] It should also be noted that the pattern widths of the start limit identifier and the end limit identifier used to assist the zero-point position sensing unit in determining are different from the width of one pattern in the irregular pattern. That is to say, the pattern width of the limit identifier can be greater than the width of the irregular pattern, which is more conducive to rapid identification.

[0047] 103. When it is recognized that the limit identifier does not exist in the first image, the second image of the first area at an adjacent moment is obtained, and it is determined whether the scanning device is faulty according to the comparison result between the second image and the first image.

[0048] In this step, if the program recognizes that the preset limit identifier does not exist in the first image at the current moment, it indicates that the scanning device has not reached the edge of the scanning area nor the zero position. Then, obtain the second image of this first area at an adjacent moment, where the adjacent moment is the previous moment of the current moment, and determine whether the scanning device has a fault by comparing whether the first image and the second image have changed.

[0049] Specifically, determining whether the scanning device has a fault according to the comparison result between the second image and the first image includes:

[0050] 1031. If the second image is the same as the first image, determine that the scanning device has a fault;

[0051] 1032. If the second image is different from the first image, determine that the scanning device is normal.

[0052] In an embodiment of the present invention, comparing whether the first image and the second image have changed in image can be comparing whether the proportion of preset color pixel points in the first image and the second image is the same. If the proportion of preset color pixel points in the first image and the second image is the same, determine that the scanning device is normal. If they are different, determine that the scanning device has a fault. Specifically, determine whether the image has changed according to the comparison between the probability of the same-color pixel points read from the second image last time and the probability of the same-color pixel points read from the first image at the current moment. For example, it is pre-set that the preset color is the white area in the scanned image: the second image has 50% white pixel points, and the first image has 60% white pixel points. Since the two values are not equal, it is considered that the image has not changed, and it is determined that the scanning device has a fault.

[0053] Furthermore, in some embodiments, it can also be determined whether the difference between the probability of the same-color pixel points read from the second image last time and the probability of the same-color pixel points read from the first image at the current moment exceeds the preset probability difference threshold range. If so, determine that the image has not changed, and further determine that the scanning device has a fault.

[0054] In some embodiments, comparing whether the first image and the second image have changed in image can also be comparing whether the brightness values of the second image and the first image are the same. If the brightness values are the same, determine that the scanning device has a fault; if they are different, determine that the scanning device is normal.

[0055] In some embodiments, comparing whether the first image and the second image have changed in image can also be comparing whether the sizes of the preset color areas in the first image and the second image are the same, where the area size refers to the area of the same color. If the areas of the same color in the first image and the second image are the same, determine that the scanning device has a fault; if they are different, determine that the scanning device is normal.

[0056] In some embodiments, determining whether there is an image change between the first image and the second image may also be based on whether the average values of the preset parameters of the first image and the second image are the same, such as whether the average brightness values are the same. If they are the same, it is determined that the scanning device has a fault. If they are different, it is determined that the scanning device is normal.

[0057] It should be noted that the above comparison method is not limited and can be set according to actual needs. For example, determining whether there is an image change between the first image and the second image may also be based on whether the difference between the average values of the preset parameters of the first image and the second image is within a preset difference range. If so, it is considered the same, and it is determined that the scanning device has a fault. If they are different, it is determined that the scanning device is normal.

[0058] In some embodiments, after determining that the scanning device has a fault when the second image is the same as the first image, it includes:

[0059] 10311. Control the driving unit to rotate through a program, and read the third image of the first area after rotation;

[0060] 10313. If the third image is still the same as the first image, it is determined that the driving unit has a fault.

[0061] Specifically, the scanning device includes a driving unit, and the driving unit is a stepping motor, which is used to drive the device to move in the scanning direction to scan the scanning area.

[0062] After determining that the scanning device has a fault based on step 103, it is necessary to further determine the specific scanning device that has a fault, that is, to further determine whether the driving unit has a fault. The above fault may be caused by internal damage of the device or loose device plugs. Control the driving unit to rotate through a program, and read the third image of the first area after rotation, and then compare whether there is an image change between the third image and the first image. If not, that is, there is no change, that is, the first image and the third image are determined to be the same, it is determined that the driving unit has a fault. If there is a change between the third image and the first image, it means that the driving unit has no fault, but other devices of the scanning device have a fault.

[0063] The method used to determine whether there is an image change between the third image and the first image may be one of the above methods for determining the first image and the second image, which will not be elaborated here.

[0064] 105. When the limit identification is detected in the first image, obtain the signal status information of the zero position sensing unit at the current moment, and determine whether the zero position sensing unit has a fault according to the signal status information, where the zero position sensing unit and the limit identification are at the same horizontal position.

[0065] Specifically, under normal conditions of the scanning device, if a limit identification is recognized in the first image and the signal status information of the zero position sensing unit is received, if the signal status information indicates no update / change, it means that the zero position sensing unit has failed. If the signal status information indicates that it has been updated / changed, the scanning device will be controlled to stop moving further, and the user will be notified to perform maintenance, and the cause and location of the failure will be displayed, improving the user experience. If the information status information indicates that it has been updated / changed, the zero position sensing unit is normal.

[0066] Whether the above signal status information indicates a change represents whether the zero position sensing unit detects a change in light occlusion. If it detects a change from light being occluded to not being occluded, or from light not being occluded to light being occluded, it is considered changed. Of course, if the signal status information has a numerical change, such as changing from 0 to 1, or from 1 to 0, it also indicates that the zero sensing unit is normal. If the numerical value always remains unchanged, such as always showing 1 or 0, it indicates that the zero position sensing unit has failed.

[0067] Based on the above, the fault identification method provided by the embodiments of the present invention can not only accurately and quickly locate faults in the driving unit or the zero position sensing unit during the scanning process, improve the fault location efficiency, and enable faster maintenance, but also use the limit identification to assist in determining whether the image forming device hits or derails when the zero position sensing unit fails, reducing losses, minimizing equipment damage, and further improving the user experience.

[0068] Based on the above fault identification method, the embodiments of the present invention also provide an image forming device, as Figure 3 shown. The image forming device 20 includes: a scanning device 21, a zero position sensing unit 24, a memory 22, and a processor 23. Among them, the scanning device 21 further includes a driving unit 211. The memory 22 is used to store information including program instructions, and the processor 23 is used to control the execution of the program instructions. When the program instructions are loaded and executed by the processor 23, the fault identification method in the above embodiments is implemented. To avoid repetition, it will not be elaborated here one by one.

[0069] The image forming device 20 includes, but is not limited to, a processor 23 and a memory 22. Those skilled in the art can understand that Figure 3 this is only an example of the image forming device 20 and does not constitute a limitation on the image forming device 20. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the image forming device may also include input / output devices, network access devices, buses, etc.

[0070] The so-called processor 23 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0071] The memory 22 may be an internal storage unit of the image forming apparatus 20, such as a hard disk or memory of the image forming apparatus 20. The memory 22 may also be an external storage device of the image forming apparatus 20, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the image forming apparatus 20. Further, the memory 22 may also include both an internal storage unit of the image forming apparatus 20 and an external storage device. The memory 22 is used to store computer programs and other programs and data required by the image forming apparatus. The memory 22 may also be used to temporarily store data that has been output or will be output.

[0072] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments, and will not be described herein again.

[0073] In several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other may be through some interfaces, and the indirect couplings or communication connections of the devices or units may be in electrical, mechanical, or other forms.

[0074] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0075] In addition, each functional unit in various embodiments of the present invention may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit. The above integrated unit may be implemented in the form of hardware or in the form of a hardware plus software functional unit.

[0076] The above integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above software functional unit stored in a storage medium includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to execute some steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc that can store program codes.

Claims

1. A fault identification method, applied to an image forming apparatus, characterized in that The described fault identification method includes: During the process of the scanning device moving from the first area in the scanning area towards the zero position, the first image of the first area at the current moment is obtained; wherein, an irregular pattern for the scanning device to read is set on the first area, the first area includes a second area, and a limit identification for indicating the zero position in the scanning area is set on the second area; a zero position sensing unit is set at the zero position. When it is recognized that the limit identification does not exist in the first image, the second image of the first area at the adjacent moment is obtained, and it is determined whether the scanning device is faulty according to whether the comparison result between the second image and the first image changes. When it is recognized that the limit identification exists in the first image, the signal state information of the zero position sensing unit at the current moment is obtained, and it is determined whether the zero position sensing unit is faulty according to the signal state information, wherein the zero position sensing unit and the limit identification are at the same horizontal position.

2. The fault identification method according to claim 1, wherein Whether the comparison result changes is used to indicate whether the second image is the same as the first image. Determining whether the scanning device is faulty according to whether the comparison result between the second image and the first image changes includes: If the second image is the same as the first image, it is determined that the scanning device is faulty. If the second image is different from the first image, it is determined that the scanning device is normal.

3. The fault identification method according to claim 2, wherein The "if the second image is the same as the first image, it is determined that the scanning device is faulty" includes: If the proportion of the preset color pixel points in the second image is the same as that in the first image, or the brightness value of the second image is the same as that of the first image, or the size of the preset color area in the second image is the same as that in the first image, it is determined that the scanning device is faulty.

4. The fault identification method according to any one of claims 1 to 3, characterized in that The scanning device includes an image sensing unit and a driving unit connected to the image sensing unit, and the driving unit drives the image sensing unit to move.

5. The fault identification method according to claim 4, characterized in that After it is determined that the scanning device is faulty when the second image is the same as the first image, it includes: Controlling the driving unit to rotate through a program, and reading the third image of the first area after rotation. If the third image is still the same as the first image, it is determined that the driving unit is faulty.

6. The fault identification method according to claim 1, wherein The "when it is recognized that the limit identification exists in the first image, the signal state information of the zero position sensing unit at the current moment is obtained, and it is determined whether the zero position sensing unit is faulty according to the signal state information" includes: If it is recognized that the limit identification exists in the first image and the signal state information of the zero position sensing unit indicates no update, it is determined that the zero position sensing unit is faulty. If it is recognized that the limit identification exists in the first image and the signal state information of the zero position sensing unit indicates update, it is determined that the zero position sensing unit is normal.

7. The fault identification method according to claim 1 or 6, characterized in that, The limit identification is also used to indicate the maximum distance position where the scanning device moves. After it is recognized that the limit identification exists in the first image, the scanning device is controlled to stop moving.

8. The fault identification method according to claim 7, wherein The limit identifier is a regular pattern and is arranged at intervals from the zero position sensing unit.

9. An image forming apparatus, the image forming apparatus including a memory and a processor, the memory storing program instructions, characterized in that, The image forming apparatus further includes a scanning device and a zero position sensing unit. When the program instructions are loaded and executed by a processor, the steps of the fault identification method according to any one of claims 1 to 8 are implemented.

10. A computer storage medium, characterized in that, The storage medium includes a stored program. When the program runs, it controls the device where the storage medium is located to execute the fault identification method according to any one of claims 1 to 8.

Images