JP4517651B2 - Image forming apparatus abnormality detection device, abnormality detection method, and abnormality detection program - Google Patents

Description

  The present invention relates to an abnormality detection technique for acquiring inspection image data by reading a sheet on which document image data is printed and detecting an abnormality of an image forming apparatus using the inspection image data.

  In a printer, a copier, a facsimile machine, or a digital multi-function peripheral having these functions (hereinafter collectively referred to as an image forming apparatus), original image data input to the apparatus is a sheet (here, a sheet is referred to as a sheet). In general, it is a printing medium in general, and is a concept including OHP sheets, cardboard, postcards, etc. in addition to general paper), and provides printed matter to the user. During the printing process, the paper taken out from the paper feeding device is sent on the conveyance path by the paper feeding mechanism, and the printing unit, the fixing unit, etc. cooperate with each other to perform the printing operation.

  In the image forming apparatus, an abnormality may occur in any part of the printing mechanism. For example, the photosensitive belt or the fixing roller is damaged. In such a case, the printed matter includes printing defects such as dirt and missing, which is not preferable. For this reason, attempts have been made to detect abnormalities in internal components of the image forming apparatus.

  In the conventional general method of detecting an abnormality, the image detection apparatus prints original image data on a sheet, and then generates inspection image data by reading the printed sheet, and a known print defect detection is performed from the inspection image data. A printing defect is identified using a technique, and an occurrence frequency history is created for each type of printing defect (dirt, missing, etc.). In another method, inspection image data when a print defect occurs is saved, and the service engineer visually observes the saved image later to analyze the commonality and continuity of the print defect, and to determine the location of the failure. The internal parts identified were replaced. However, the above method relies on the experience and intuition of service engineers. In addition, this method is not only time consuming for analysis but also difficult to prepare for replacement parts in advance.

  As an abnormality detection function of the image forming apparatus, for example, as described in JP-A-4-355572, an abnormal sound pressure distribution and frequency distribution generated in the apparatus are detected by an audible range sensor. There are some which specify the prediction of the abnormality, the cause of the occurrence, etc. based on the detection result. Further, as an abnormality detection function developed from this, as described in Japanese Patent Application Laid-Open No. 8-305223, the sound pressure distribution, from the inspection image data obtained by reading the paper on which the document image data is printed, Some determine the frequency distribution. However, these abnormality detections are suitable for detecting abnormalities that appear continuously and periodically, such as abnormal vibrations due to loose screws and springs, but when the photoconductor or printing roller is damaged. Thus, it is not suitable for detecting anomalies that appear periodically but do not appear continuously.

JP-A-4-355572 JP-A-8-305223

  An object of the present invention is to make it possible to identify an abnormal part by a method that does not rely on experience or intuition when an abnormality occurs in an internal part in an image forming apparatus that prints original image data on paper.

To achieve the above object, the present invention provides an abnormality detection apparatus for detecting an abnormality of the rotating parts provided in the image forming apparatus that prints the document image data on a sheet, the original image data is printed double inspection image acquisition means for acquiring multiple inspection image data obtained by imaging a number of sheets, to detect a plurality of printing defects included in the inspection image data before Kifuku number, said of each print defect A defect detection means for obtaining a position; and a distance calculation means for obtaining a separation distance data in a paper feed direction for a plurality of print defects having a common position in a direction orthogonal to the paper feed direction, the separation distance data together we are subjected to a specific rotating component having abnormal point, print defects the position of the direction perpendicular to the paper feed direction is common is that of the first test image data and the second inspection image data And the defect detection means detects the position of the print defect detected from the first inspection image data with respect to the reference position of the first inspection image data and the second inspection image data. A position of the printed defect with respect to a reference position of the second inspection image data, and the distance calculation means is configured to determine the first inspection image of the print defect detected from the first inspection image data. The position of the data relative to the reference position, the position of the print defect detected from the second inspection image data relative to the reference position of the second inspection image data, and the reference of the first and second inspection image data Based on the separation distance between the positions, the separation distance data of the print defects is obtained .

  In addition, the abnormality detection device of the image forming apparatus according to the present invention holds the outer peripheral length data of at least one rotating component, and if the separation distance data matches any of the outer peripheral length data, You may provide the abnormal location identification means identified as a location. Here, the abnormal part specifying means may specify the rotating part as an abnormal part when the number of coincidence between the separation distance data and the outer peripheral length data becomes a predetermined threshold value or more. Furthermore, it is preferable that the predetermined threshold is set according to each rotating component.

  In addition, the abnormality detection device of the image forming apparatus according to the present invention may include a display unit that displays information related to the rotating component specified as the abnormal part.

  Further, the abnormality detection device of the image forming apparatus according to the present invention includes a position correction unit that corrects the position detection of the print defect by the defect detection unit based on the position detection value of the encoder that detects the position in the paper feeding direction. It is preferable to have.

Further, in order to achieve the above object, the present invention provides an image forming apparatus having the abnormality detection function for detecting an abnormality of the rotating component, by imaging the multiple number of sheets of original image data is printed the inspection image acquisition means for acquiring examination image data of multiple, pre-detects multiple print defects included in Kifuku number of inspection image data, location and defect detection means for determining for each print defect, wherein the plurality of Among the printing defects, those having a common position in the direction perpendicular to the paper feed direction are provided with distance calculation means for obtaining the separation distance data in the paper feed direction, and the separation distance data is used to identify a rotating part having an abnormal part. while subjected, when the position in the direction perpendicular to the paper feed direction print defects that are common are included in each of the first test image data and the second inspection image data, the defect detecting means A position of the print defect detected from the first inspection image data with respect to a reference position of the first inspection image data; and the second inspection of the print defect detected from the second inspection image data. A position with respect to a reference position of the image data, and the distance calculation means, the position of the print defect detected from the first inspection image data with respect to the reference position of the first inspection image data, and the second Based on the position of the print defect detected from the inspection image data with respect to the reference position of the second inspection image data, and the distance between the reference positions of the first and second inspection image data, It is characterized in that distance data of these print defects is obtained .

Further, in order to achieve the above object, the present invention provides a abnormality detecting method for detecting an abnormality of the rotating parts of the image forming apparatus, by imaging a double number of sheets of original image data is printed, an inspection image acquisition step of acquiring examination image data of multiple, pre-detects multiple print defects included in Kifuku number of inspection image data, the position and the defect detection step asking you to each printing defect, the plurality of of print defects, for those directions of a position perpendicular to the paper feed direction is common, a distance calculation step asking you to paper feed direction of the distance data, the distance data, subjected to the specific rotating component having abnormal point step In the defect detection step, a print defect having a common position in a direction perpendicular to the paper feed direction is included in each of the first inspection image data and the second inspection image data. The position of the print defect detected from the first inspection image data with respect to the reference position of the first inspection image data, and the second inspection image data of the print defect detected from the second inspection image data In the distance calculation step, the position of the print defect detected from the first inspection image data with respect to the reference position of the first inspection image data, and the second inspection Printing based on the position of the print defect detected from the image data with respect to the reference position of the second inspection image data and the distance between the reference positions of the first and second inspection image data Defect separation distance data is obtained.

Further, in order to achieve the above object, the present invention is the abnormality detecting apparatus for detecting an abnormality of the rotating parts of the image forming apparatus, by imaging a double number of sheets of original image data is printed, the number of double of the inspection image acquisition step of acquiring examination image data, before detecting a plurality of printing defects included in Kifuku number of inspection image data, and a defect detection step of obtaining the position of each printing defect, the plurality of print defects A distance calculation step for obtaining a separation distance data in the sheet feeding direction and a step of using the separation distance data for specifying a rotating part having an abnormal part for those having a common position in a direction perpendicular to the sheet feeding direction. a failure detection program for causing a printing defect position in the direction perpendicular to the paper feed direction is common, is included in each of the first test image data and the second inspection image data In addition, in the defect detection step, the position of the print defect detected from the first inspection image data with respect to the reference position of the first inspection image data and the position detected from the second inspection image data A position of a print defect with respect to a reference position of the second inspection image data, and in the distance calculation step, a reference of the first inspection image data of the print defect detected from the first inspection image data A position relative to a position, a position of the print defect detected from the second inspection image data with respect to a reference position of the second inspection image data, and the reference positions of the first and second inspection image data. The abnormality detection program is characterized in that the separation distance data of the print defects is obtained based on the separation distance .

  Embodiments of the present invention will be described below with reference to the drawings. In the embodiment described below, a printing apparatus will be described, but a similar technique can be applied to a copier, a fax machine, a digital multifunction machine, or the like.

  FIG. 1 is a schematic diagram illustrating an example of a printing system including an abnormality detection apparatus according to the present embodiment. This printing system is a high-speed printing system, and is suitable for printing a fixed amount document such as a large amount of bills and business documents. Hereinafter, a printing system will be described by taking a situation where a standard document is printed as an example.

  The print controller 10 takes in data such as the customer's name and address sent from the host computer and data on the billing amount, and synthesizes these data and ruled line data, etc., in a bitmap format. Data is generated and transmitted to the printer 20 via the data transmission line 11. At this time, identification data for identifying the document image data such as the page number is transmitted together with the document image data. The printer 20 receives the original image data and prints it on the paper.

  A data extraction processing unit 22 is provided in the middle of the data transmission line 11 connecting the print controller 10 and the printer 20. The data extraction processing unit 22 includes a CPU that performs extraction processing and a RAM that serves as a work space thereof. When the document image data is transmitted to the data transmission line 11, the document extraction data 22 and the identification data are extracted. Then, the data is transmitted to the document image data storage unit 24 of the abnormality detection device 31. The document image data storage unit 24 stores the document image data and identification data sent thereto.

  In addition, a reading scanner, which is an imaging unit, is provided in the printer 20 at a position where a sheet on which document image data is printed is conveyed and passed. The reading control unit 26 controls the reading scanner, reads the conveyed paper, and acquires inspection image data. The reading control unit 26 associates the identification data with the inspection image data and transmits it to the inspection image data storage unit 28. The inspection image data storage unit 28 stores the inspection image data and identification data sent thereto.

  The data matching unit 30 includes a CPU, a RAM, and the like, and is based on the document image data stored in the document image data storage unit 24 and the inspection image data stored in the inspection image data storage unit 28. A print defect included in the inspection image data is detected using a print defect detection technique. The print defect is, for example, dirt, missing or faint. In a known print defect detection technique, for example, document image data and inspection image data are compared, and if there is a print portion not in the document image data in the inspection image data, that portion is determined to be a print stain, When the print portion in the data is not in the inspection image data, it is determined that the portion is not printed. Further, a print defect may be detected by quantitatively evaluating the feature amount of the printed portion. After detecting the printing defect, the data collation unit 30 calculates the separation distance of the printing defect. This process will be described in detail later.

  Next, the internal configuration of the printer 20 will be described. FIG. 2 is a schematic diagram illustrating a simplified internal configuration of the printer 20.

  The printer 20 is provided with a plurality of paper feed trays 32, 34, and 36, and stores paper. By driving the paper feed rollers 38, 40, 42, the paper is sent out from the paper feed trays 32, 34, 36 to the transport path. The sheet is further transferred by the conveyance roller 44 and reaches the position of the photosensitive belt 46.

  The photosensitive belt 46 is a belt-shaped photosensitive member formed into a ring shape, and is rotationally driven by two driving rollers 48. The photosensitive belt 46 is charged first, and a laser beam from the raster output scanner 50 is exposed to form a latent image. A black toner is attached to the latent image by the developing roller 53 to form a toner image, and the toner image is transferred from the photosensitive belt 46 to a sheet. Thereafter, the toner remaining from the photosensitive belt 46 is removed by the cleaner roller 54, and the same processing is repeated again. In the printing system of the present embodiment, monochrome printing processing is performed for a standard document. However, when printing a photograph or the like in color, another mechanism such as a single engine or a tandem engine is employed as a printing mechanism. May be.

  Then, the sheet is transferred to the fixing roller 56, and the toner image is fixed on the sheet. The toner unfixed on the paper is removed by the peeling blade 58. Printing is completed by the above processing, and the paper is sent to the paper discharge unit. In the case of double-sided printing, it is sent to the double-sided tray 64 and subsequently sent out to the transport path to perform the back side printing process.

  A reading scanner 60 is provided downstream of the peeling blade 58 in the paper transport path. The printing surface of the printed matter on which the image is fixed is optically read by the reading scanner 60. The reading scanner 60 irradiates the printing surface with an irradiation lamp, focuses the reflected light with a lens 62, and detects it with an imaging device 61. As the imaging device 61, for example, a line sensor in which cells are arranged in a line in a direction perpendicular to the paper conveyance direction in a plane parallel to the upper surface of the paper conveyance path can be used. By repeatedly reading the line sensor in synchronization with the sheet conveyance, a two-dimensional printed surface image can be acquired. When inspecting a color image, for example, a line sensor may be provided for each of R, G, and B colors. The inspection image data of the printing surface acquired by the imaging device 61 is sent to the reading control unit 26.

  Next, a failure that occurs in the internal components of the printer 20 will be described. 3A to 3C show the photosensitive belt 46, the cleaner roller 54, and the fixing roller 56, respectively.

  FIG. 3A is a perspective view showing the photosensitive belt 46 and the driving roller 48. The belt-like photosensitive belt 46 is fed in the direction of an arrow 49 by a driving roller 48. The photosensitive belt 46 may have a defective portion (for example, a scratch) 47 due to a manufacturing defect, foreign matter mixed into the printer, or the like. When the toner image is formed on the defective portion 47, the toner cannot be sufficiently transferred to the paper at the defective portion 47. Therefore, when the photosensitive belt 46 has a defect, the inspection image data obtained by imaging the printed paper includes a printing defect. Moreover, this printing defect appears every time the photosensitive belt 46 rotates once, in other words, every time the photosensitive belt 46 rotates by the outer peripheral length L1. In this embodiment, the photosensitive belt 46 is used. However, when a drum-shaped photosensitive member is used, if there is a defective portion on the drum, a printing defect occurs similarly. In addition, when the toner image formed on the photosensitive member is primarily transferred to the intermediate transfer member and then secondarily transferred to the paper, if there is a defective portion on the intermediate transfer member, a printing defect similarly occurs.

  FIG. 3B shows the cleaner roller 54. The cleaner roller 54 is a cylindrical member and rotates to remove the toner remaining on the photosensitive belt 46. If there is a defective portion 55 on the cleaner roller 54, the remaining toner is not removed and appears as a printing defect on the next printed paper. FIG. 3C shows the fixing roller 56. The fixing roller 56 is a cylindrical member, and fixes the toner image on the sheet. If there is a defective portion 57 on the fixing roller 56, the toner is not fixed, and that portion is lost in printing. Also for these members, printing defects appear each time each member rotates by the respective outer peripheral length L2, L3. As described above, the representative members of the printer 20 have been described as having print defects when the defective portions 47, 55, and 57 are present. The same applies to the case where there is a defective portion in another rotating component in the paper conveyance path or another rotating component related to the printing process. For example, the feed rollers 38, 40, and 42, the transport roller 44, and the like.

  Next, the abnormality detection process performed by the data matching unit 30 will be described. First, an example of abnormality detection processing in the case where a plurality of printing defects are included in one inspection image data obtained by imaging one sheet will be described with reference to FIG. In order to perform the following processing, the data table shown in FIG. 5 is stored in the storage unit in the data collating unit 30. In the data table of FIG. 5, the outer peripheral length, the allowable range of variation, and the failure determination threshold that is the number of times of failure determination are stored for each rotating component.

  The data collating unit 30 compares the inspection image data obtained by imaging the printed paper with the original image data used for printing on the paper, and stains, omissions, or fading are included in the inspection image data. Or the like is detected (S401). Here, print defects are identified as separate ones connected to pixels, and numbers (n = 1, 2, 3,...) Are assigned to the respective print defects for labeling.

  In the present embodiment, print defects D1 and D2 are detected from the inspection image data shown in FIG. 6A. Specifically, after performing the pattern matching process on the inspection image data shown in FIG. 6A and the original image data shown in FIG. 6B for alignment, the pixel value of the original image data is subtracted from the pixel value of the inspection image data. To do. As a result, printing defects D1 and D2 are extracted from the inspection image data as in the defect image data shown in FIG. 6C. The print defects D1 and D2 extracted in FIG. 6C are stains generated due to defective cleaner rollers. In this embodiment, the print defect is detected based on the document image data and the inspection image data. However, the print defect may be detected by another method. For example, a print defect may be detected by applying a known defect detection technique to the inspection image data without using the document image data.

  Next, the data collation unit 30 obtains the center of gravity of the pixel value for each printing defect D1, D2 (S402). In the calculation of the center of gravity, a projection waveform in which pixel values are integrated in the paper feed direction (Y direction) and the direction orthogonal to it (X direction) is generated for each printing defect, and the X coordinate where the integrated areas on both sides are equal for each projection waveform And the Y coordinate are obtained, and the point defined by these X and Y coordinates is defined as the center of gravity. In other embodiments, other representative positions may be obtained instead of the center of gravity.

  Next, the data collation unit 30 extracts, for each of the detected print defects, those whose barycentric coordinates in the direction orthogonal to the transport direction (X direction) match (S403). Here, even if the coordinates do not completely match, they match if they are within the tolerance range of the data table (for example, 10 pixels). Note that the variation allowable range may be an appropriate value according to the type of rotating component or printing defect. In addition, the extraction process may be performed only for the same type of print defects such as print stains, omissions, and fading.

  Next, the data matching unit 30 calculates the distance between the centers of gravity of the two print defects in the Y direction with respect to all combinations of print defects whose X coordinates coincide with each other (S404). Then, for each center-of-gravity distance, it is determined whether or not it is within the variation range with respect to the outer peripheral lengths of the plurality of rotary components registered in the data table. The variable k is incremented (+1) (S405). Note that the variable k is set for each rotating component registered in the data table, and represents the number of coincidence between the center-of-gravity distance of the print defect and the outer peripheral length of the rotating component.

  The variable k of each rotating component is compared with a preset failure determination threshold value (S406). If the variable k of any rotating component is greater than or equal to the failure determination threshold value, maintenance is performed on the display unit of the abnormality detection device 31. The request is displayed (S407). Here, since it is necessary to warn early about important parts strongly related to the printing quality such as the photosensitive belt 46, the failure determination threshold is set low. On the other hand, for parts with low importance, the failure determination threshold is set high in order to prevent false reports.

  In the maintenance request, the name of the rotating part in which the failure is estimated, the position in the printer, and the like are also displayed. The service engineer or the user can immediately repair or replace the part specified as the failure point by looking at the display content. In this embodiment, since the failure location is specified by the abnormality determination process, the service engineer or the user does not need to specify the failure location based on his / her own experience. This is particularly effective when a service engineer or user with little experience performs maintenance.

  As another processing method when a failure of the rotating component is determined, the following processing may be performed. That is, information such as the name of the faulty part is output from the printer to the network, and information such as the maintenance request and the name of the failed rotating part is displayed on a personal computer or portable information terminal owned by a remote service engineer. Also good. Further, as another simple processing method, the data on the distance between the centers of gravity that appears periodically may be displayed together with the data on the outer peripheral length of the rotating component. Even in such a simple process, the service engineer can easily determine the failure location by looking at the display.

  The periodic print defect determination method described above is intended for a case where a plurality of print defects are included in one inspection image data. In this determination method, it is possible to effectively determine a failure of a rotating component having a small outer peripheral length such as a cleaner roller or a conveyance roller. However, if the outer peripheral length of the rotating component is large and printing defects do not appear periodically in one inspection image data, the effectiveness is lacking. Therefore, a printing defect determination method that is effective when the outer peripheral length of the rotating component is large will be described next.

  FIG. 7 is a flowchart showing an abnormality detection process in the case where there are periodic print defects over a plurality of inspection image data. Note that the data table shown in FIG. 5 is also used in the following processing.

Each time print processing is performed and inspection image data is acquired, the data matching unit 30 detects and labels all the print defects included in the inspection image data (S701), and calculates the coordinates of the center of gravity for each print defect. (S702). The defect detection and the center of gravity calculation are the same as those described above. Further, as described above, sequential page numbers S _N (N = 1, 2, 3,...) Are acquired as identification data.

  Next, the data matching unit 30 detects the reference position of the paper in the inspection image data. In the present embodiment, a boundary line between a sheet and a portion other than the sheet is detected by edge detection processing, and a position of a sheet corner where each boundary line intersects is obtained. The sheet reference position is the position of the sheet corner P1 with reference to FIG. 6A. The center-of-gravity coordinates already obtained are converted into coordinates (X, Y) with the paper reference position P1 as the origin (X0, Y0) (S703).

  Next, the data matching unit 30 compares the barycentric coordinates of the print defects of the current inspection image data calculated as described above with the barycentric coordinates of the print defects of the inspection image data captured in the past. That is, the X coordinate of the print defect centroid of this time is compared with the X coordinate of the past print defect centroid to determine whether the X coordinate is within the variation range, and the print defect with the matching X coordinate is specified ( S704). If there is a print defect whose X coordinate is within the variation range, the distance between the centers of gravity of the two print defects in the Y direction is calculated (S705).

  Here, the calculation of the distance between the centers of gravity over a plurality of inspection image data will be described with reference to FIG. FIG. 8 shows a plurality of inspection image data K1, K2, and K3, and each inspection image data includes print defects D1, D2, and D3, respectively. The plurality of inspection image data K1, K2, and K3 are shown in the same positional relationship as the development formed on the photosensitive belt 46.

As can be understood from FIG. 8, the inter-centroid distance Itvl of the print defect is calculated by the following equation.
Itvl = T _N −T _N−1 + Tp (S _N −S _N−1 )
here,
_{T N,} T _N-1 is, Y coordinate of the print defects D1, D2, D3 of the reference position _{P N} of each inspection image with the origin,
Tp is the distance in the Y direction between the reference positions of the inspection image data,
S _N and S _N-1 are sequential page numbers.

  The Y-direction distance Tp between the reference positions of the inspection image data can be calculated from the operation settings of the printing system. For example, in the printer of the present embodiment, when continuous printing is performed, the paper is taken out from the paper feed tray every 330 msec and is flowed to the transport path. The paper conveyance speed is 1.0 mm / msec. Therefore, the distance Tp between the reference positions is 330 mm. Here, when the resolution is 200 dpi and the distance per pixel is 0.127 mm / pixel, the number of pixels between the reference positions is 330 / 0.127 = 2600 pixels.

  Next, the data matching unit 30 determines whether or not the distance between the centers of gravity is within the variation range with respect to the outer peripheral lengths of the plurality of rotating parts registered in the data table. If it is within the variation range, the variable k of the rotating component is incremented (+1), and if the variable k of any rotating component is equal to or greater than a preset failure determination threshold for the rotating component, A maintenance request is displayed on the display unit of the abnormality detection device (S706 to S708). As described above, another process may be performed instead of the maintenance request.

  In the above calculation, the distance between the centers of gravity is calculated on the assumption that the sheet conveyance speed is a constant value. However, at the initial driving or acceleration / deceleration of the sheet conveyance roller 44, the conveyance speed is calculated. Becomes a value different from a constant value. At this time, the entire inspection image data is expanded or contracted uniformly or partially in the paper feeding direction, and even if the inspection image data is collated with the original image data, a print defect cannot be detected accurately. This may be dealt with by detecting the moving speed of the conveying belt before and after the reading scanner 60 and correcting the position detection of the printing defect. For example, after the inspection image data expanded and contracted when the moving speed is changed is converted into inspection image data in which the moving speed is not expanded or contracted based on the detected value of the moving speed and the original image data and the scale are matched, the inspection is performed. The position of the print defect is detected from the inspection image data by comparing the image data with the original image data. Thereby, a printing defect can be detected accurately.

  In addition, when the print defect is detected by processing only the inspection image data without collating with the original image data, the position of the print defect is moved after obtaining the position of the print defect in the expanded / contracted inspection image data. Correction may be performed based on the detected value of speed, and errors due to expansion and contraction may be removed.

  In order to detect the moving speed of the conveying belt, the detection output of the encoder provided in the rotating component in the conveying path of the paper or the encoder provided in the rotating component driving motor may be used.

  The preferred embodiments of the present invention have been described above. However, the present invention is not limited to the above embodiments, and various modifications can be made within an equivalent range. For example, although the printing system of the present embodiment is a high-speed printing system, it may be a simpler printing system. The document image data is not limited to a standard document as long as it is image data that is normally printed. Further, the abnormality detection device 31 may be incorporated into the printing system and fixed, or may be removable.

It is the schematic which shows the printing system containing the abnormality detection apparatus which concerns on this embodiment. FIG. 2 is a schematic diagram illustrating a simplified internal configuration of a printer. It is explanatory drawing which shows the defective part on the surface of a photoreceptor belt. It is explanatory drawing which shows the defective part on the surface of a cleaner roller. FIG. 6 is an explanatory diagram illustrating a defective portion on the surface of the fixing roller. It is a flowchart which shows the process of an abnormality detection apparatus when the some printing defect is contained in one test | inspection image data. It is explanatory drawing which shows the data table registered into the memory | storage part of a data collation part. It is explanatory drawing which shows test | inspection image data. It is explanatory drawing which shows original image data. It is explanatory drawing which shows defect image data. It is a flowchart which shows the process of an abnormality detection apparatus when a printing defect is contained in each of several test | inspection image data. It is explanatory drawing for demonstrating the calculation method of the separation distance of a printing defect.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 10 Print controller, 11 Data transmission line, 20 Printer, 22 Data extraction process part, 24 Original image data storage part, 26 Reading control part, 28 Inspection image data storage part, 30 Data collation part, 31 Abnormality detection apparatus, 32, 34 , 36 Paper feed tray, 38, 40, 42 Paper feed roller, 44 Transport roller, 46 Photoreceptor belt, 48 Drive roller, 50 Raster output scanner, 53 Development roller, 54 Cleaner roller, 56 Fixing roller, 58 Peeling blade, 60 Reading scanner, 61 imaging device, 62 lens, 64 double-sided tray.

Claims (9)

An abnormality detection device that detects an abnormality of a rotating component provided in an image forming apparatus that prints original image data on paper,
Inspection image acquisition means original image data to obtain an inspection image data of multiple obtained by imaging a multi number of sheets printed,
Detecting a plurality of printing defects included in the inspection image data before Kifuku number, and defect detection means for determining the position of each printing defect,
A distance calculating means for obtaining separation distance data in the paper feed direction for the plurality of print defects having a common position in a direction perpendicular to the paper feed direction;
The separation distance data is used to identify a rotating part having an abnormal part , and
When a print defect having a common position in a direction orthogonal to the paper feed direction is included in each of the first inspection image data and the second inspection image data,
The defect detection means includes a position of the print defect detected from the first inspection image data with respect to a reference position of the first inspection image data, and the print defect detected from the second inspection image data. Obtaining a position relative to a reference position of the second inspection image data;
The distance calculation means includes a position of the print defect detected from the first inspection image data with respect to a reference position of the first inspection image data, and a position of the print defect detected from the second inspection image data. Based on the position of the second inspection image data with respect to the reference position and the distance between the reference positions of the first and second inspection image data, the separation distance data of the print defects is obtained. An anomaly detection device. The abnormality detection apparatus according to claim 1,
It comprises an abnormal part specifying means for holding the outer peripheral length data of at least one rotating part and specifying the rotating part as an abnormal part when the separation distance data matches any of the outer peripheral length data. Anomaly detection device. The abnormality detection apparatus according to claim 2,
The abnormality detecting device is characterized in that the rotating part is specified as an abnormal part when the number of coincidence between the separation distance data and the outer peripheral length data is equal to or greater than a predetermined threshold value. The abnormality detection device according to claim 3,
The abnormality detection apparatus, wherein the predetermined threshold is set according to each rotating component. The abnormality detection apparatus according to claim 2,
An abnormality detection apparatus comprising: display means for displaying information related to the rotating part specified as the abnormal part. The abnormality detection apparatus according to claim 1,
An abnormality detection apparatus comprising position correction means for correcting position detection of a printing defect by the defect detection means based on a position detection value of an encoder for detecting a position in a paper feeding direction. An image forming apparatus having an abnormality detection function for detecting an abnormality of a rotating component,
By imaging the multiple number of sheets of original image data is printed, and the inspection image acquisition means for acquiring examination image data of multiple,
Detecting a plurality of printing defects included in the inspection image data before Kifuku number, and defect detection means for determining the position of each printing defect,
A distance calculating means for obtaining separation distance data in the paper feed direction for the plurality of print defects having a common position in a direction perpendicular to the paper feed direction;
The separation distance data is used to identify a rotating part having an abnormal part ,
When a print defect having a common position in a direction orthogonal to the paper feed direction is included in each of the first inspection image data and the second inspection image data,
The defect detection means includes a position of the print defect detected from the first inspection image data with respect to a reference position of the first inspection image data, and the print defect detected from the second inspection image data. Obtaining a position relative to a reference position of the second inspection image data;
The distance calculation means includes a position of the print defect detected from the first inspection image data with respect to a reference position of the first inspection image data, and a position of the print defect detected from the second inspection image data. Based on the position of the second inspection image data with respect to the reference position and the distance between the reference positions of the first and second inspection image data, the separation distance data of the print defects is obtained. An image forming apparatus having an abnormality detection function. An abnormality detection method for detecting an abnormality in a rotating component of an image forming apparatus,
By imaging the multiple number of sheets of original image data is printed, and the inspection image acquiring step of acquiring examination image data of multiple,
Detecting a plurality of printing defects included in the inspection image data before Kifuku number, and defect detection step asking you to positions of the respective printing defects,
Among the plurality of print defects, for those directions of a position perpendicular to the paper feed direction is common, a distance calculation step asking you to paper feed direction of the distance data,
Providing the separation distance data to identify a rotating part having an abnormal part ;
Including
When a print defect having a common position in a direction orthogonal to the paper feed direction is included in each of the first inspection image data and the second inspection image data,
In the defect detection step, the position of the print defect detected from the first inspection image data with respect to the reference position of the first inspection image data, and the print defect detected from the second inspection image data. Obtaining a position relative to a reference position of the second inspection image data;
In the distance calculation step, the position of the print defect detected from the first inspection image data with respect to the reference position of the first inspection image data, and the print defect detected from the second inspection image data. Based on the position of the second inspection image data with respect to the reference position and the distance between the reference positions of the first and second inspection image data, the separation distance data of the print defects is obtained. Anomaly detection method. In the abnormality detection device that detects the abnormality of the rotating parts of the image forming device,
By imaging the multiple number of sheets of original image data is printed, and the inspection image acquiring step of acquiring examination image data of multiple,
Detecting a plurality of printing defects included in the inspection image data before Kifuku number, and defect detection step of obtaining the position of each printing defect,
A distance calculation step for obtaining separation distance data in the paper feed direction for those having a common position in a direction perpendicular to the paper feed direction among the plurality of print defects;
Providing the separation distance data to identify a rotating part having an abnormal part;
A failure detection program for execution,
When a print defect having a common position in a direction orthogonal to the paper feed direction is included in each of the first inspection image data and the second inspection image data,
In the defect detection step, the position of the print defect detected from the first inspection image data with respect to the reference position of the first inspection image data, and the print defect detected from the second inspection image data. Obtaining a position relative to a reference position of the second inspection image data;
In the distance calculation step, the position of the print defect detected from the first inspection image data with respect to the reference position of the first inspection image data, and the print defect detected from the second inspection image data. Based on the position of the second inspection image data with respect to the reference position and the distance between the reference positions of the first and second inspection image data, the separation distance data of the print defects is obtained. An anomaly detection program .

Images