JP6007537B2 - Information processing apparatus and information processing program - Google Patents

Description

  The present invention relates to an information processing apparatus and an information processing program.

  Patent Document 1 aims to provide an image forming apparatus capable of reducing the number of users on the side of requesting a service visit and improving the efficiency of maintenance by a service person. In an image forming apparatus configured to be connectable to an apparatus, an operation input unit corresponding to image quality deterioration and an operation state of the image forming apparatus are detected in response to an operation of the operation input unit. It is disclosed that the apparatus is configured to include a control unit and a transmission unit that transmits a signal indicating that the operation state and the operation input unit are operated through the communication line.

  Patent Document 2 aims to accurately grasp the actual situation in the market, feed back to design conditions and manufacturing conditions that cannot be handled in the current market, and make full use of the potential of the image forming apparatus. The system includes an image forming apparatus connected to a network and capable of detecting output characteristics under a predetermined output condition, and a data processing apparatus connected to the network, and outputs detected by the image forming apparatus. Send the characteristics to the data processing device, perform analysis processing in this data processing device, accurately grasp the actual usage status of the image forming device connected to the network, and design and manufacturing conditions that cannot be handled in the current market It is disclosed that the potential of the image forming apparatus can always be fully utilized.

  In Patent Document 3, service parts of a printer connected to a network line are informed of the replacement time of the parts, prompting the user to replace them, stabilizing the quality of the printer, and making life management and ordering easy to make a part demand forecast. An object is to provide a management and production management system, a printer connected to a network line, a means for detecting characteristic values relating to the service life of the service parts, and a means for collecting the detected characteristic values via the network line And a means for comparing with a threshold value of a preset characteristic value for the part, a means for estimating the life time of the part from the comparison result, and notifying the user of the life time of the part via the network line A means to analyze the collected data and make a demand forecast for parts. It means for performing production adjustments, to have disclosed.

  Patent Document 4 aims to provide a machine server capable of diagnosing and analyzing machine trends, the server electrically connected to the image processing machine provides local data access, and A monitoring component, an analysis and prediction component that analyzes data to track machine trends and predict machine subsystem and component failures, and a diagnostic component that can diagnose the machine at a higher level. And the diagnostic component is disclosed to include a communication component connected to the monitoring component and the analysis and prediction component and further providing a telecommunications link.

  In Patent Document 5, when the user determines the necessity of the adjustment operation, it is necessary to see the actual print result, and it is highly likely that the print result determined by the user to be adjusted is not of sufficient image quality. The adjustment timing determining means calculates the timing required for the adjustment mode according to the print discharge information from the print execution means, the status information from the state detection means, and the adjustment execution information from the adjustment execution means. It is disclosed that a timing requiring adjustment is notified via a timing notification means.

  Patent Document 6 aims to provide an image forming apparatus that comprehensively analyzes an evaluation amount that correlates with an image quality factor for the cause of image deterioration, and that performs image quality correction and failure prediction. The image measurement unit measures at least the shape of the image pattern formed on at least one of the photosensitive member and the intermediate transfer member by the image forming unit, and the image quality calculation unit outputs based on the measurement of the image pattern by the image measurement unit. It is disclosed that image quality is predicted, history information of image quality prediction by the image quality calculation unit is stored in the history storage unit, and the failure prediction unit predicts a failure using the history information stored in the history storage unit.

  It is an object of Patent Document 7 to provide a method for automatically predicting a user's favorite copy or scan setting based on past user behavior, which includes a copier, a scanner, Alternatively, it is realized in a management unit of a multi-function device in which copying, scanning, and printing functions are combined and integrated, or on a server connected to such a device, and this management unit is associated with a user ID. A copy / scan / user (CSU) settings database that stores copy and / or scan settings is maintained, and each time a copy or scan job is launched, the management unit analyzes the CSU database and predicts the user The user can manually change the setting and confirm the changed setting, and the management unit can use the setting confirmed by the user for future use. Stored in the database, CSU database, it is disclosed that can be transferred from a single copier / scanner / multifunction device to another pedestal.

  Patent Document 8 aims to provide an image forming apparatus that can cope with a user before outputting an abnormal image by finding a sign of the abnormal image, and samples an image that cannot be output by normal image processing. By outputting an image and reading the sample image with an image input device, it is determined whether or not an abnormal image has occurred. It is disclosed to deal with treatment at an early stage.

  Patent Document 9 relates to an image forming apparatus connected to a network such as the Internet, and in particular, predicts a failure of the image forming apparatus in advance, and corresponds to the state of the apparatus by setting a service implementation time and a service schedule. The object is to provide an image forming apparatus that enables quick maintenance, and a control signal is sent from the printer controller to the high-voltage unit, and the high-voltage setting of the charger is set to a voltage at which contamination easily appears, Make sure that the charger is clean before any trouble occurs, and make a service call when it is determined that a problem such as image failure will occur in the near future, perform maintenance in advance, and connect the image forming device to a network such as the Internet. Connected to a line and sent information to the server via the network line. To determine the likelihood of the raw, it is disclosed that perform maintenance in advance the image forming apparatus when it is necessary.

  Patent Document 10 discloses an image forming apparatus capable of prompting inspection, replacement, etc. by a service person or the like before an emergency occurs and an emergency stop occurs by detecting a sign of abnormality and notifying the center in advance. A zero cross period measuring means for measuring a zero cross period of an AC voltage, an error control means for stopping the apparatus when a failure occurs, an alarm control means for storing warning information as an alarm history, and a zero cross period measuring means for the purpose of providing In the image forming apparatus comprising the zero-cross error detecting means for urgently stopping the apparatus by the error control means when the difference between the zero-cross period measured by the above and a predetermined reference time is equal to or greater than the predetermined value A, the zero-cross period measuring means The difference between the measured zero-cross cycle and the predetermined reference time is less than the predetermined value A and greater than or equal to the predetermined value B It is disclosed that stored as the alarm history by alarm control means when.

Japanese Patent Laid-Open No. 03-196054 JP 2003-291468 A Japanese Patent Laid-Open No. 2003-186552 JP 2007-317207 A JP 2006-027048 A JP 2006-259406 A JP 2008-236752 A JP 2004-133081 A JP 2005-266599 A JP 2003-248399 A

  An object of the present invention is to provide an information processing apparatus and an information processing program that change the measurement time or the measurement item of the apparatus quality according to the measurement value of the apparatus quality.

The gist of the present invention for achieving the object lies in the inventions of the following items.
According to the first aspect of the present invention, the measurement value storage means for storing the measurement value related to the quality of the apparatus, the extraction means for extracting the measurement value related to the quality of the apparatus from the measurement value storage means, and the extraction means extract the data. Calculation means for calculating a state value indicating the state of the apparatus based on the measured value, comparison means for comparing the state value calculated by the calculation means with a predetermined threshold value of the apparatus, and the comparison If the comparison results by the means indicate that the quality has been reduced, it comprises a changing means for changing the number of measurement items to increase, and if there are a plurality of the devices, the changing means has a quality of each device. The information processing apparatus is characterized in that the time for performing the measurement is changed so as not to be the same .

  The invention according to claim 2 is the information processing apparatus according to claim 1, further comprising output means for outputting information relating to the state of the apparatus based on a comparison result by the comparison means.

The invention according to claim 3 is characterized in that, when the change means indicates that the quality has fallen as a comparison result, the change means further changes so as to advance the timing for measuring the quality of the apparatus. The information processing apparatus according to 1 or 2.

According to a fourth aspect of the present invention, there is provided a usage state value storage unit that stores a usage state value that is a value related to a usage state of the device, and a second state of extracting the usage state value of the device from the usage state value storage unit. And a second comparing means for comparing the extracting means and the usage state value extracted by the second extracting means with a predetermined threshold value of the device, wherein the changing means is a comparison by the comparing means. results and based on the comparison result by the second comparison means, according to any one of claims 1 to 3, characterized in that to change the items of the timing or the measurement performing measurements on the quality of the device Information processing apparatus.

The invention of claim 5 includes a computer having measurement value storage means for storing a measurement value relating to the quality of the apparatus, an extraction means for extracting the measurement value relating to the quality of the apparatus from the measurement value storage means, Based on the measurement value extracted by the extraction unit, a calculation unit that calculates a state value indicating the state of the device, and compares the state value calculated by the calculation unit with a predetermined threshold value of the device. When the comparison means and the comparison result by the comparison means indicate that the quality has decreased, the comparison means is made to function as a change means for changing so as to increase the number of measurement items. The information processing program is characterized in that the time for measuring the quality of each device is changed so as not to be the same .

According to the information processing apparatus of the first aspect, it is possible to change the measurement time regarding the quality of the apparatus or the item of measurement according to the measurement value regarding the quality of the apparatus. In addition, when there are a plurality of devices, it is possible to change so that the timing for measuring each device is not the same.

  According to the information processing apparatus of the second aspect, it is possible to output information related to the state of the apparatus.

  According to the information processing apparatus of the third aspect, when the quality is deteriorated, it can be changed so as to advance the time for performing the measurement or can be changed so as to increase the number of measurement items.

According to the information processing apparatus of the fourth aspect , it is possible to change the time for performing the measurement related to the quality of the apparatus or the item of the measurement using the use state value of the apparatus.

According to the information processing program of the fifth aspect , it is possible to change the time for performing the measurement related to the quality of the apparatus or the item of the measurement according to the measurement value related to the quality of the apparatus. In addition, when there are a plurality of devices, it is possible to change so that the timing for measuring each device is not the same.

It is a conceptual module block diagram about the structural example of this Embodiment. It is explanatory drawing which shows the system configuration example in the case of implement | achieving this Embodiment. It is a flowchart which shows the process example by this Embodiment. It is explanatory drawing which shows the data structure example of a customer ID and apparatus ID management table. It is explanatory drawing of the chart A which is an example of a measuring object. It is explanatory drawing of the chart B which is an example of a measuring object. It is explanatory drawing which shows the example of a data structure of a measurement item calculation rule table. It is explanatory drawing which shows the example of a data structure of an in-plane nonuniformity inspection time change table. It is explanatory drawing which shows the example of a data structure of a density | concentration inspection time change table. It is explanatory drawing which shows the example of a data structure of a gradation test | inspection time change table. It is explanatory drawing which shows the example of a data structure of a color difference inspection time change table. It is explanatory drawing which shows the example of a data structure of a reference | standard test | inspection period item table. It is explanatory drawing which shows the example of management time. It is explanatory drawing which shows the example of management time. It is explanatory drawing of the test result report which is an output example by this Embodiment. It is a block diagram which shows the hardware structural example of the computer which implement | achieves the apparatus of this Embodiment. It is a block diagram which shows the hardware structural example of the computer which implement | achieves the apparatus information collection apparatus and information processing apparatus of this Embodiment.

Hereinafter, an example of a preferred embodiment for realizing the present invention will be described with reference to the drawings.
FIG. 1 shows a conceptual module configuration diagram of a configuration example of the present embodiment.
The module generally refers to components such as software (computer program) and hardware that can be logically separated. Therefore, the module in the present embodiment indicates not only a module in a computer program but also a module in a hardware configuration. Therefore, the present embodiment is a computer program for causing these modules to function (a program for causing a computer to execute each procedure, a program for causing a computer to function as each means, and a function for each computer. This also serves as an explanation of the program and system and method for realizing the above. However, for the sake of explanation, the words “store”, “store”, and equivalents thereof are used. However, when the embodiment is a computer program, these words are stored in a storage device or stored in memory. It is intended to control to be stored in the device. Modules may correspond to functions one-to-one, but in mounting, one module may be configured by one program, or a plurality of modules may be configured by one program, and conversely, one module May be composed of a plurality of programs. The plurality of modules may be executed by one computer, or one module may be executed by a plurality of computers in a distributed or parallel environment. Note that one module may include other modules. Hereinafter, “connection” is used not only for physical connection but also for logical connection (data exchange, instruction, reference relationship between data, etc.). “Predetermined” means that the process is determined before the target process, and not only before the process according to this embodiment starts but also after the process according to this embodiment starts. In addition, if it is before the target processing, it is used in accordance with the situation / state at that time or with the intention to be decided according to the situation / state up to that point. When there are a plurality of “predetermined values”, they may be different values, or two or more values (of course, including all values) may be the same. In addition, the description having the meaning of “do B when it is A” is used in the meaning of “determine whether or not it is A and do B when it is judged as A”. However, the case where it is not necessary to determine whether or not A is excluded.
In addition, the system or device is configured by connecting a plurality of computers, hardware, devices, and the like by communication means such as a network (including one-to-one correspondence communication connection), etc., and one computer, hardware, device. The case where it implement | achieves by etc. is also included. “Apparatus” and “system” are used as synonymous terms. Of course, the “system” does not include a social “mechanism” (social system) that is an artificial arrangement.
In addition, when performing a plurality of processes in each module or in each module, the target information is read from the storage device for each process, and the processing result is written to the storage device after performing the processing. is there. Therefore, description of reading from the storage device before processing and writing to the storage device after processing may be omitted. Here, the storage device may include a hard disk, a RAM (Random Access Memory), an external storage medium, a storage device via a communication line, a register in a CPU (Central Processing Unit), and the like.

  In the present embodiment, the information processing apparatus (service center) 150 manages the apparatus 100. As illustrated in the example of FIG. 1, the apparatus 100, the apparatus information collection apparatus (management server) 130, the information processing apparatus A (service center) 150 is connected via communication lines (199, 198).

The apparatus 100 includes a communication module 102, an output state measurement module 104, a usage state detection module 106, and an output module 108. The apparatus 100 may be any apparatus that requires maintenance, and includes, for example, an image processing apparatus. In addition to the original function (for example, image output for an image processing apparatus), the apparatus 100 has a quality state of the apparatus 100 (for example, an output processing that requires maintenance for an image processing apparatus). And the use state of the apparatus 100 is detected. Then, the quality status and usage status are transmitted to the device information collection device (management server) 130.
The device information collection device (management server) 130 includes a communication module 132, an output state storage module 134, and a usage state storage module 136. The device information collection device (management server) 130 receives from the device 100 the measured quality state of the device 100 and the detected use state of the device 100. Then, the information is transmitted to the information processing apparatus (service center) 150.

The information processing apparatus (service center) 150 includes a communication module 152, an output state extraction module 154, an output state calculation module 156, an output state comparison module 158, a user information / device information storage module 160, a use state extraction module 162, and an examination time change. A module 164, an inspection item change module 166, an output module 168, and a control module 180 are included. The information processing apparatus (service center) 150 changes the timing of measuring the quality of the apparatus 100 or the item of the measurement based on the quality state and usage state of the apparatus 100 extracted from the apparatus information collecting apparatus (management server) 130. To do.
The apparatus 100 and the apparatus information collection apparatus (management server) 130 are connected by a communication line 199, and the apparatus information collection apparatus (management server) 130 and the information processing apparatus (service center) 150 are connected by a communication line 198. The communication line 198 and the communication line 199 may be wired or wireless, as long as they can communicate with each other, and may be public lines or the like.

  The communication module 102 is connected to the output state measurement module 104, the usage state detection module 106, and the output module 108, and is connected to the communication module 132 of the device information collection device (management server) 130 via the communication line 199. ing. The communication module 102 transmits the quality status measured by the output status measurement module 104 and the usage status detected by the usage status detection module 106 to the device information collection device (management server) 130. Further, based on the output instruction transmitted from the device information collecting device (management server) 130, the output module 108 is made to output. For example, the output state measurement module 104 receives an output instruction for printing an image to be measured, an inspection result report 1500 illustrated in FIG. 15 to be described later, an output instruction for outputting the inspection result report 1500, and the like.

  The output module 108 is connected to the communication module 102. The output module 108 prints an image to be measured by the output state measurement module 104, outputs an inspection result report 1500 illustrated in FIG. Examples of the “image to be measured” include a chart A500 illustrated in FIG. 5 and a chart B600 illustrated in FIG. These images may be stored in the apparatus 100 in advance, or images transmitted from the apparatus information collecting apparatus (management server) 130 may be received. Note that outputting an image means, for example, printing with a printing device such as a printer, displaying on a display device such as a display, transmitting an image with an image transmission device such as a fax, or an image storage device such as an image database. Writing an image to the memory, storing the image in a storage medium such as a memory card, and passing the image to another information processing apparatus.

The output state measurement module 104 is connected to the communication module 102. The output state measurement module 104 measures the quality state of the device 100. Examples of the quality state include mainly output image quality, such as maximum density, gradation, color difference from a certain color reference, in-plane color unevenness, graininess, registration (image alignment), image defects, and the like. is there. These may be measurable with the apparatus 100 itself, or may be measured using a measuring instrument. For example, it is a value obtained by printing an image serving as a predetermined reference (a chart A500 illustrated in FIG. 5 described later, a chart B600 illustrated in FIG. 6 and the like), and measuring the printed image.
The usage state detection module 106 is connected to the communication module 102. The usage state detection module 106 detects the usage state of the device 100. For example, the number of sheets to be detected, the output paper size, the type of output image (monochrome, color, etc.), the date and time of failure, the content of failure, the date and time of maintenance, the content of maintenance and the like correspond.

The communication module 132 is connected to the output state storage module 134 and the usage state storage module 136, and is connected to the communication module 102 of the apparatus 100 via the communication line 199 and the information processing apparatus (service center) via the communication line 198. ) 150 communication modules 152. For example, the communication module 132 receives the quality state and the usage state from the plurality of apparatuses 100 and transmits them to the information processing apparatus (service center) 150.
The output state storage module 134 is connected to the communication module 132. The output state storage module 134 stores a quality state received from the apparatus 100 via the communication line 199 and the communication module 132, that is, a measurement value related to the quality of the apparatus 100.
The usage state storage module 136 is connected to the communication module 132. The usage state storage module 136 stores the usage state received from the device 100 via the communication line 199 and the communication module 132, that is, the usage state value that is a value related to the usage state of the device 100.

The communication module 152 is connected to the output state extraction module 154 and the usage state extraction module 162, and is connected to the communication module 132 of the device information collection device (management server) 130 via the communication line 198. The communication module 152 receives the quality status of each device 100 from the device information collection device (management server) 130 in response to a request from the output status extraction module 154, and receives a device information collection device (in response to a request from the usage status extraction module 162). The usage status of each device 100 is received from the management server 130. Further, an output instruction for printing an image to be measured by the output state measurement module 104 of the apparatus 100, an inspection result report 1500 illustrated in FIG. 15 described later, an output instruction for outputting the inspection result report 1500, and the like. Send.
The control module 180 controls each module in the information processing apparatus (service center) 150.

  The output state extraction module 154 is connected to the communication module 152 and the output state calculation module 156. The output state extraction module 154 extracts a measurement value related to the quality of the device 100 from the output state storage module 134 of the device information collection device (management server) 130. For example, information corresponding to date / time (may be year, month, day, second, second or less, or a combination thereof), device ID, and output state is extracted. The date and time is the date and time when measurement was performed by the output state measurement module 104. The device ID is a device ID (IDentification, information that can uniquely identify the device 100 in the present embodiment) of the measured device 100. The output state is a value measured by the output state measurement module 104. Of course, information about the quality (specifically, maximum density, gradation, color difference from a certain color reference, in-plane color unevenness, graininess, registration, image defect, etc.) Information) and the corresponding measurements.

  The output state calculation module 156 is connected to the output state extraction module 154 and the output state comparison module 158. The output state calculation module 156 calculates a state value indicating the state of the device 100 based on the measurement value extracted by the output state extraction module 154. As the calculation method here, the calculation method stored in the calculation method column 716 of the measurement item calculation rule table 700 illustrated in FIG.

The output state comparison module 158 is connected to the output state calculation module 156, the user information / device information storage module 160, the usage state extraction module 162, the inspection time change module 164, and the inspection item change module 166. The output state comparison module 158 compares the state value calculated by the output state calculation module 156 with a predetermined threshold value of the device 100. For example, the target device 100 may be specified using the customer ID / device ID management table 400 stored in the user information / device information storage module 160. FIG. 4 is an explanatory diagram showing an example of the data structure of the customer ID / device ID management table 400. The customer ID / device ID management table 400 has a customer ID column 410 and a device ID column 420. The customer ID column 410 stores information (customer ID) that can uniquely identify a customer according to the present embodiment. The device ID column 420 stores the device ID of the device 100 used by the customer. When the processing according to the present embodiment is performed for each customer ID, a device ID corresponding to the customer ID may be extracted and the output state of the device 100 of the device ID may be compared. For example, the threshold values of the apparatus 100 are stored in the in-plane unevenness inspection time change table 800, the density inspection time change table 900, the gradation inspection time change table 1000, and the color difference inspection time change table 1100 in the user information / device information storage module 160. It is remembered.
The user information / device information storage module 160 is connected to the output state comparison module 158. The user information / device information storage module 160 includes, for example, the customer ID / device ID management table 400 illustrated in FIG. 4 described above, the measurement item calculation rule table 700 illustrated in FIG. 7 described later, and the in-plane unevenness illustrated in FIG. The inspection time change table 800, the density inspection time change table 900 illustrated in FIG. 9, the tone inspection time change table 1000 illustrated in FIG. 10, the color difference inspection time change table 1100 illustrated in FIG. 11, and the reference illustrated in FIG. An inspection period item table 1200 and the like are stored.

  The usage state extraction module 162 is connected to the communication module 152, the output state comparison module 158, the inspection time change module 164, and the inspection item change module 166. The usage status extraction module 162 extracts the usage status value of the device 100 from the usage status storage module 136 of the device information collection device (management server) 130. For example, information corresponding to date / time, device ID, and usage status is extracted. The date and time is the date and time when the use state detection module 106 detects the date and time. The device ID is the device ID of the measured target device. The usage state is a usage state detected by the usage state detection module 106. Of course, information about which usage state is used (specifically, information indicating the number of output sheets, output paper size, output image type, failure date / time, failure content, maintenance date / time, maintenance content, etc.) ) And the corresponding usage state value.

The inspection time change module 164 is connected to the output state comparison module 158, the usage state extraction module 162, the inspection item change module 166, and the output module 168. The inspection time change module 164 changes the time when the measurement relating to the quality of the apparatus 100 is performed based on the comparison result by the output state comparison module 158.
In addition, when the inspection time change module 164 indicates that the quality has deteriorated as a comparison result, the inspection time change module 164 may change the time to perform the measurement relating to the quality of the apparatus 100 so as to be advanced.
Further, when there are a plurality of devices 100, the inspection time change module 164 may change the time for performing the measurement related to the quality of each device 100 so as not to be the same. A so-called scheduling process is performed. For example, one maintenance worker is prevented from adjusting a plurality of apparatuses 100 at the same time.
Further, the inspection time change module 164 compares the usage state value extracted by the usage state extraction module 162 with a predetermined threshold value of the device 100, and based on the comparison result and the comparison result by the output state comparison module 158. The timing for measuring the quality of the apparatus 100 may be changed.

The inspection item change module 166 is connected to the output state comparison module 158, the usage state extraction module 162, the inspection time change module 164, and the output module 168. The inspection item change module 166 changes the measurement item when measuring the quality of the apparatus 100 based on the comparison result by the output state comparison module 158.
In addition, when the inspection item change module 166 indicates that the quality has deteriorated as a comparison result, the inspection item change module 166 may change the number of measurement items related to the quality of the apparatus 100 to be increased.
Further, the inspection item change module 166 compares the usage state value extracted by the usage state extraction module 162 with a predetermined threshold value of the device 100, and based on the comparison result and the comparison result by the output state comparison module 158. Measurement items relating to the quality of the apparatus 100 may be changed.

  The output module 168 is connected to the inspection time change module 164 and the inspection item change module 166. The output module 168 outputs information related to the state of the device 100 based on the comparison result by the output state comparison module 158. For example, an inspection result report 1500 illustrated in FIG. 15 described later is output. Output destinations include the communication module 152 and the output module 108 of the device 100 via the device information collection device (management server) 130.

FIG. 2 is an explanatory diagram illustrating an example of a system configuration when the present embodiment is realized.
Image forming apparatus A: 210A, image forming apparatus B: 210B, image forming apparatus C: 210C, management server 230, and service center 250 are each connected via a communication line 299.
The image forming apparatus A: 210A, the image forming apparatus B: 210B, and the image forming apparatus C: 210C correspond to the apparatus 100 illustrated in FIG. In the example of FIG. 2, three devices are shown, but one or more devices may be used. The management server 230 corresponds to the device information collection device (management server) 130 illustrated in FIG. The service center 250 corresponds to the information processing apparatus (service center) 150 illustrated in FIG.
The management server 230 manages the state of the image forming apparatus 210 and sends information to the service center 250 when an abnormality occurs in the image forming apparatus 210. Then, the service center 250 creates a maintenance work schedule for the image forming apparatus 2100 by a maintenance worker.

  Moreover, the management server 230 and the service center 250 may be integrated. There is a firewall between the communication line 299 to which the image forming apparatus A: 210A, the image forming apparatus B: 210B, and the image forming apparatus C: 210C are connected and the communication line 299 to which the management server 230 and the service center 250 are connected. It may be constructed. In this case, the measurement value and the usage state may be transmitted from the image forming apparatus 210 to the management server 230, for example, periodically or when maintenance is necessary. Further, the image forming apparatus A: 210A, the image forming apparatus B: 210B, the image forming apparatus C: 210C, and the communication line 299 to which the management server 230 is connected and the communication line 299 to which the service center 250 is connected. A firewall may be built. In this case, the management server 230 may transmit the measurement value and the usage state from the image forming apparatus 210 and transmit them to the service center 250.

FIG. 3 is a flowchart showing an example of processing according to this embodiment.
In step S302, the output module 108 outputs the charts A and B. For example, there are chart A500 and chart B600.
FIG. 5 is an explanatory diagram of a chart A500 that is an example of a measurement target.
In the chart A500, as shown in the example of FIG. 5, the in-plane unevenness measurement pattern 510, the density / gradation property measurement pattern 520, the density / gradation property measurement pattern 522, the in-plane unevenness measurement pattern 512, the density, in order from the left. Print gradation measurement pattern 524, density / gradation measurement pattern 526, and in-plane unevenness measurement pattern 514. For example, the in-plane unevenness measurement pattern 510, the in-plane unevenness measurement pattern 512, and the in-plane unevenness measurement pattern 514 have a K (black) 60% rectangle, C (cyan) 60% rectangle, and M ( (Magenta) 60% rectangle, Y (yellow) 60% rectangle, K 20% rectangle, C 20% rectangle, M 20% rectangle, Y 20% rectangle . For example, the density / gradation property measurement pattern 520 includes 10 rectangles with K of 100%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, and 10%. To print. For example, in the density / gradation property measurement pattern 522, 10 rectangles of C are 100%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, 10%. To print. For example, the density / gradation property measurement pattern 524 includes 10 rectangles with M of 100%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, and 10%. To print. For example, in the density / gradation property measurement pattern 526, 10 rectangles with Y being 100%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, 10% To print.
FIG. 6 is an explanatory diagram of a chart B600 that is an example of a measurement target. The chart B600 is a color difference measurement chart, for example, printing 200 (10 × 20) rectangles having different colors.
Chart A500 and chart B600 are examples, and a part of these images may be printed, or more inspection images may be printed.

In step S304, the output state measurement module 104 measures the charts A and B. For example, in-plane color unevenness, density, gradation, color difference from a certain color reference, etc. in each area in chart A500 and chart B600 are measured.
Steps S <b> 310 to S <b> 316 are in-plane unevenness processing 310.
Steps S320 to S326 are density processing 320.
Steps S330 to S336 are gradation processing 330.
Steps S340 to S346 are color difference processing 340.

In step S310, the output state calculation module 156 calculates in-plane unevenness measurement values. For example, the measurement value is calculated according to the calculation method in the calculation method column 716 corresponding to (1) to (8) in the No column 712 of the in-plane unevenness column 730 of the measurement item calculation rule table 700 illustrated in FIG. To do. For example, with respect to the result of measuring the in-plane unevenness measurement pattern 510 at the left end of the chart A500, the in-plane unevenness measurement pattern 512 at the center, and the in-plane unevenness measurement pattern 514 at the right end, ΔE (measurement value) of all combinations is measured. The maximum value of color difference) is defined as the in-plane unevenness measurement value (state value). If the measured values of one pattern (for example, measured values in the Lab color space) are L1, a1, and b1, and the measured values of the other pattern are L2, a2, and b2, the color difference ΔE is calculated as in the following equation. .
ΔE = √ ((L1-L2) ² + (a1-a2) ² + (b1-b2) ² )

  FIG. 7 is an explanatory diagram showing an example of the data structure of the measurement item calculation rule table 700. The measurement item calculation rule table 700 has an item column 710, a No column 712, a measurement type column 714, and a calculation method column 716 for the in-plane unevenness column 730, the density column 732, the gradation property column 734, and the color difference column 736. . The calculation method column 716 is used by the output state calculation module 156. For example, (1) in the No column 712 of the in-plane unevenness column 730 is a rectangle in which the in-plane unevenness measurement pattern 510, the in-plane unevenness measurement pattern 512, and the in-plane unevenness measurement pattern 514 in the chart A500 are each 60% K. The inside is measured, and the maximum value of the color difference of the measured values of each rectangle is calculated. For example, (9) in the No column 712 of the density column 732 indicates that a measurement value measured in a rectangle having K of 100% in the density / gradation property measurement pattern 520 in the chart A500 is used as a calculated value. . For example, (13) in the No column 712 of the gradation column 734 indicates that the K of the density / gradation measurement pattern 520 in the chart A500 is 100%, 90%, 80%, 70%, 60%, 50%. , 40%, 30%, 20%, and 10% are measured in 10 rectangles, and the average value of the color difference from each reference is calculated. For example, (17) in the No column 712 of the color difference column 736 indicates that 200 rectangles in the chart B600 are measured, and the average value of the color difference from each reference is calculated.

In step S312, the output state comparison module 158 compares the in-plane unevenness measurement value with the reference value in the apparatus 100, and calculates the inspection level. For the calculation here, the in-plane unevenness inspection time change table 800 illustrated in FIG. 8 is used. FIG. 8 is an explanatory diagram showing an example of the data structure of the in-plane unevenness inspection time change table 800. The in-plane unevenness inspection time change table 800 has a level column 810, a measured value column 820, and an inspection column 830. The level column 810 stores the inspection level. The measurement value column 820 stores a comparison condition between the measurement value and a predetermined threshold value of the apparatus 100. The inspection column 830 stores an inspection method when the condition is satisfied. Here, as the inspection method, the inspection time is mainly stored here, but it may be related to the inspection item. The value in the level column 810 in the line that satisfies the condition of the measurement value column 820 is the calculated level, and the inspection in the inspection column 830 is used in step S316.
In step S314, the output state comparison module 158 determines whether or not it is OK. If it is OK, the process proceeds to step S320. Otherwise, the process proceeds to step S316.

  In step S316, the inspection time change module 164 or the inspection item change module 166 changes the inspection time or the inspection item. Based on the in-plane unevenness inspection time change table 800 illustrated in FIG. 8, the inspection column 830 in the row that satisfies the condition of the measurement value column 820 is used. For example, the normal period in the apparatus 100 is stored in the reference inspection period item table 1200. The same applies to the following steps S326, S336, and S346. FIG. 12 is an explanatory diagram showing an example of the data structure of the reference inspection period item table 1200. The reference inspection period item table 1200 includes a device ID column 1210, a reference inspection period column 1220, and a reference inspection item column 1230. The device ID column 1210 stores a device ID. The reference inspection period column 1220 stores a reference inspection period (normal period) for the apparatus. The reference inspection item column 1230 stores items (normal inspection items) serving as a reference in the apparatus.

In step S320, the output state calculation module 156 calculates a concentration measurement value. For example, the measurement value is calculated according to the calculation method in the calculation method column 716 corresponding to (9) to (12) in the No column 712 of the concentration column 732 of the measurement item calculation rule table 700 illustrated in FIG. For example, a measurement result (state value) is obtained by measuring the inside of the rectangle at the uppermost end in the density / gradation measurement pattern 520 of the chart A500.
In step S322, the output state comparison module 158 compares the concentration measurement value with a reference value in the apparatus 100, and calculates an inspection level. For the calculation here, the density inspection time change table 900 illustrated in FIG. 9 is used. FIG. 9 is an explanatory diagram showing an example of the data structure of the density inspection time change table 900. The density inspection time change table 900 has a level column 910, a measurement value column 920, and an inspection column 930. The level column 910 stores the inspection level. The measurement value column 920 stores a comparison condition between the measurement value and a predetermined threshold value of the apparatus 100. The inspection column 930 stores an inspection method when the condition is satisfied. Here, as the inspection method, the inspection time is mainly stored here, but it may be related to the inspection item. The value in the level column 910 in the line that satisfies the condition of the measurement value column 920 is the calculated level, and the inspection in the inspection column 930 is used in step S326.
In step S324, the output state comparison module 158 determines whether or not it is OK. If it is OK, the process proceeds to step S330. Otherwise, the process proceeds to step S326.
In step S326, the inspection time change module 164 or the inspection item change module 166 changes the inspection time or the inspection item. Based on the density inspection time change table 900 illustrated in FIG. 9, the inspection column 930 in the line that satisfies the condition of the measurement value column 920 is used.

In step S330, the output state calculation module 156 calculates a gradation measurement value. For example, the measurement value is calculated according to the calculation method in the calculation method column 716 corresponding to (13) to (16) in the No column 712 of the gradation column 734 of the measurement item calculation rule table 700 illustrated in FIG. To do. For example, ΔE (measurement value of a measurement value) between a result of measuring each rectangle in the density / gradation property measurement pattern 520 of the chart A500 and a reference value (for example, a measurement value that should be measured every 10%) of each rectangle. The average value of (color difference) is defined as a gradation measurement value (state value).
In step S332, the output state comparison module 158 compares the gradation measurement value with a reference value in the apparatus 100, and calculates an inspection level. For this calculation, the gradation inspection time change table 1000 illustrated in FIG. 10 is used. FIG. 10 is an explanatory diagram showing an example of the data structure of the gradation inspection time change table 1000. The gradation inspection time change table 1000 has a level column 1010, a measurement value column 1020, and an inspection column 1030. The level column 1010 stores the inspection level. The measurement value column 1020 stores a comparison condition between the measurement value and a predetermined threshold value of the device 100. The inspection column 1030 stores an inspection method when the condition is satisfied. Here, as the inspection method, the inspection time is mainly stored here, but it may be related to the inspection item. The value in the level column 1010 in the line that satisfies the condition of the measurement value column 1020 is the calculated level, and the inspection in the inspection column 1030 is used in step S336.
In step S334, the output state comparison module 158 determines whether or not it is OK. If it is OK, the process proceeds to step S340. Otherwise, the process proceeds to step S336.
In step S336, the inspection time change module 164 or the inspection item change module 166 changes the inspection time or the inspection item. Based on the tonality inspection time change table 1000 illustrated in FIG. 10, the inspection column 1030 in the row that satisfies the condition of the measurement value column 1020 is used.

In step S340, the output state calculation module 156 calculates a color difference measurement value. For example, the measurement value is calculated according to the calculation method in the calculation method column 716 corresponding to (17) in the No column 712 of the color difference column 736 of the measurement item calculation rule table 700 illustrated in FIG. For example, an average value of ΔE (color difference of measured values) between a result of measuring each rectangle of the chart B600 and a reference value (measured value to be originally measured) of each rectangle is defined as a color difference measured value (state value).
In step S342, the output state comparison module 158 compares the color difference measurement value with a reference value in the apparatus 100, and calculates an inspection level. For this calculation, the color difference inspection time change table 1100 illustrated in FIG. 11 is used. FIG. 11 is an explanatory diagram showing an example of the data structure of the color difference inspection time change table 1100. The color difference inspection time change table 1100 has a level column 1110, a measurement value column 1120, and an inspection column 1130. The level column 1110 stores the inspection level. The measurement value column 1120 stores a comparison condition between the measurement value and a predetermined threshold value of the apparatus 100. The inspection column 1130 stores an inspection method when the condition is satisfied. Here, as the inspection method, the inspection time is mainly stored here, but it may be related to the inspection item. The value in the level column 1110 in the line that satisfies the condition of the measurement value column 1120 is the calculated level, and the inspection in the inspection column 1130 is used in step S346.
In step S344, the output state comparison module 158 determines whether or not it is OK. If it is OK, the process proceeds to step S350; otherwise, the process proceeds to step S346.
In step S346, the inspection time change module 164 or the inspection item change module 166 changes the inspection time or the inspection item. Based on the color difference inspection time change table 1100 illustrated in FIG. 11, the inspection column 1130 in the row that satisfies the condition of the measurement value column 1120 is used.

  By the processing so far, for example, the inspection period is changed. FIG. 13 is an explanatory diagram illustrating an example of management time in a state before this processing is performed. In the graph of FIG. 13, the horizontal axis indicates the date and time (elapse of time), and the vertical axis indicates the state value (image quality inspection result) indicating the state of the apparatus 100. The upward direction is a value indicating bad quality, and the downward direction is a value indicating good quality. Then, as in the periodical management period 1312 to the periodical management period 1352, the inspection is performed every predetermined period. When the state value becomes worse than the reference value 1370, maintenance work is performed by a maintenance worker. Here, a case is shown in which it is found that such a state has been reached at the regular management time 1332. In this example, even if the state value is close to the reference value 1370, for example, the period of the regular management time 1318 and the regular management time 1332 is not changed. Further, the period during which the state value exceeds the reference value 1370 (in the example of FIG. 13, from the middle of the regular management time 1318 to the regular management time 1332 and from the middle of the regular management time 1338 to 1352) The device will be used in a bad state.

FIG. 14 is an explanatory diagram showing an example of the management time after this processing is performed according to the present embodiment. The graph of FIG. 14 is equivalent to the graph of FIG. 13, but the inspection period differs depending on the processing according to the present embodiment. Here, the reference inspection period is one month between the management period 1412 and the management period 1414. For example, when the state value is worse than the comparison value 1472, the inspection period is shortened as in the management period 1418 or after the management period 1436. When the state value becomes a value worse than the reference value 1470 (in the example of FIG. 14, the management time 1420 and the management time 1452), maintenance work is performed by a maintenance worker. Then, the inspection period is returned to the reference inspection period. Thus, the period during which the state value exceeds the reference value 1470 (in the example of FIG. 14, from the middle of the regular management time 1418 to the regular management time 1420, from the middle of the regular management time 1438 to 1452). 13 is shorter than the example in FIG. 13, and thus the possibility that the apparatus is used in a state where the image quality is poor is reduced. In the above example, the main example is to shorten the inspection period. When the value indicates that the quality is good (for example, when the state value is less than the comparison value 1472 and the difference is equal to or greater than a predetermined value), the inspection period is more than the reference inspection period. You may make it lengthen.

In addition, when the inspection period is changed, the inspection items may be changed so that the inspection times in the plurality of apparatuses 100 do not overlap. In particular, the inspection time should not overlap with the apparatus 100 that the maintenance worker is responsible for. Specifically, for example, there is a table that stores the maintenance worker ID of the maintenance worker and the device ID of the device 100 that the maintenance worker is associated with, and the table is used as a target. The device 100 may be specified so that the inspection times of the device 100 do not overlap.
In the examples of FIGS. 13 and 14, the example in which the inspection period (the timing for measuring the quality of the apparatus 100) is changed is shown, but the inspection items may be changed. For example, when the state value is worse than the comparison value 1472, the number of search items may be increased. When the state value is a value indicating good quality, the number of search items may be decreased. . Further, the inspection item itself may be changed.

In step S350, the control module 180 creates an inspection report. For example, an inspection result report 1500 is output. FIG. 15 is an explanatory diagram of an inspection result report 1500 which is an output example according to the present embodiment. The inspection result report 1500 includes a measurement date and time description area 1510, an output machine description area 1512, a machine number. It has a description area 1514, a measurement result description area 1516, and an explanation description area 1518. These show the processing results of steps S312 and S316. For example, when the worst item in the measurement result description area 1516 is level 2 (the number of levels increases if it is bad), the description description area 1518 describes “perform in the next two weeks”, and the measurement result description area 1516 Is level 1, if it is Level 3 and the worst item in the measurement result description area 1516 is level 3, then the description description area 1518 will read “Perform after one month.” When there is at least one level 4 in the measurement result description area 1516, “Request maintenance immediately” is described in the explanation description area 1518.
The inspection result report 1500 may be printed from the information processing apparatus (service center) 150, or may be printed from the apparatus 100 and presented to the customer of the apparatus 100.

  A hardware configuration example of an image processing apparatus that is the apparatus 100 according to the present embodiment will be described with reference to FIG. The configuration shown in FIG. 16 is configured by a personal computer (PC), for example, and shows a hardware configuration example including a data reading unit 1617 such as a scanner and a data output unit 1618 such as a printer.

  A CPU (Central Processing Unit) 1601 executes an execution sequence of each module such as the communication module 102, the output state measurement module 104, the usage state detection module 106, and the output module 108 described in the above embodiment. It is a control part which performs the process according to the described computer program.

  A ROM (Read Only Memory) 1602 stores programs, calculation parameters, and the like used by the CPU 1601. A RAM (Random Access Memory) 1603 stores programs used in the execution of the CPU 1601, parameters that change as appropriate during the execution, and the like. These are connected to each other by a host bus 1604 including a CPU bus.

  The host bus 1604 is connected to an external bus 1606 such as a PCI (Peripheral Component Interconnect / Interface) bus via a bridge 1605.

  A keyboard 1608 and a pointing device 1609 such as a mouse are input devices operated by an operator. The display 1610 includes a liquid crystal display device or a CRT (Cathode Ray Tube), and displays various types of information as text or image information.

  An HDD (Hard Disk Drive) 1611 includes a hard disk, drives the hard disk, and records or reproduces a program executed by the CPU 1601 and information. The hard disk stores measurement values measured by the output state measurement module 104, usage states detected by the usage state detection module 106, and the like. Further, various computer programs such as various other data processing programs are stored.

  The drive 1612 reads data or a program recorded on a removable recording medium 1613 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, and the data or program is read out from the interface 1607 and the external bus 1606. , A bridge 1605, and a RAM 1603 connected via the host bus 1604. The removable recording medium 1613 can also be used as a data recording area similar to the hard disk.

  The connection port 1614 is a port for connecting an external connection device 1615 and has a connection unit such as USB, IEEE1394. The connection port 1614 is connected to the CPU 1601 and the like via the interface 1607, the external bus 1606, the bridge 1605, the host bus 1604, and the like. A communication unit 1616 is connected to a communication line and executes data communication processing with the outside. The data reading unit 1617 is a scanner, for example, and executes document reading processing. The data output unit 1618 is a printer, for example, and executes document data output processing.

  Note that the hardware configuration of the image processing apparatus shown in FIG. 16 shows one configuration example, and the present embodiment is not limited to the configuration shown in FIG. 16, and the modules described in this embodiment are executed. Any configuration is possible. For example, some modules may be configured with dedicated hardware (for example, Application Specific Integrated Circuit (ASIC), etc.), and some modules are in an external system and connected via a communication line In addition, a plurality of systems shown in FIG. 16 may be connected to each other via communication lines so as to cooperate with each other. Further, it may be incorporated in a copying machine, a fax machine, a scanner, a printer, a multifunction machine (an image processing apparatus having any two or more functions of a scanner, a printer, a copying machine, a fax machine, etc.).

  Note that the hardware configuration of a computer that executes programs as the device information collection device (management server) 130 and the information processing device (service center) 150 according to the present embodiment is a general configuration as illustrated in FIG. A computer, specifically, a personal computer, a computer that can be a server, or the like. That is, as a specific example, the CPU 1701 is used as a processing unit (arithmetic unit), and the RAM 1702, the ROM 1703, and the HD 1704 are used as storage devices. For example, a hard disk may be used as the HD 1704. Communication module 132, communication module 152, output state extraction module 154, output state calculation module 156, output state comparison module 158, usage state extraction module 162, inspection time change module 164, inspection item change module 166, output module 168, control module A CPU 1701 that executes a program such as 180, a RAM 1702 that stores the program and data, a ROM 1703 that stores a program for starting the computer, an HD 1704 that is an auxiliary storage device, a keyboard, a mouse, and a touch panel A receiving device 1706 that accepts data based on the user's operation, etc., an output device 1705 such as a CRT or liquid crystal display, and a communication network such as a network interface card. Communication line interface 1707 for connecting to the click And, and a bus 1708 for exchanging data by connecting them. A plurality of these computers may be connected to each other via a network.

Among the above-described embodiments, the computer program is a computer program that reads the computer program, which is software, in the hardware configuration system, and the software and hardware resources cooperate with each other. Is realized.
Note that the hardware configuration illustrated in FIG. 17 illustrates one configuration example, and the present embodiment is not limited to the configuration illustrated in FIG. 17, and is a configuration capable of executing the modules described in the present embodiment. I just need it. For example, some modules may be configured by dedicated hardware (for example, ASIC), and some modules may be in an external system and connected by a communication line. A plurality of systems shown in FIG. 5 may be connected to each other via communication lines so as to cooperate with each other.

  Further, in the comparison of the values in the description of the above-described embodiment, “more than”, “less than”, “greater than”, and “less than (less than)” The values may be “larger”, “smaller (less than)”, “more than”, and “less than”, respectively.

The program described above may be provided by being stored in a recording medium, or the program may be provided by communication means. In that case, for example, the above-described program may be regarded as an invention of a “computer-readable recording medium recording the program”.
The “computer-readable recording medium on which a program is recorded” refers to a computer-readable recording medium on which a program is recorded, which is used for program installation, execution, program distribution, and the like.
The recording medium is, for example, a digital versatile disc (DVD), which is a standard established by the DVD Forum, such as “DVD-R, DVD-RW, DVD-RAM,” and DVD + RW. Standard “DVD + R, DVD + RW, etc.”, compact disc (CD), read-only memory (CD-ROM), CD recordable (CD-R), CD rewritable (CD-RW), Blu-ray disc ( Blu-ray Disc (registered trademark), magneto-optical disk (MO), flexible disk (FD), magnetic tape, hard disk, read-only memory (ROM), electrically erasable and rewritable read-only memory (EEPROM (registered trademark)) )), Flash memory, Random access memory (RAM) SD (Secure Digital) memory card and the like.
The program or a part of the program may be recorded on the recording medium for storage or distribution. Also, by communication, for example, a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a wired network used for the Internet, an intranet, an extranet, etc., or wireless communication It may be transmitted using a transmission medium such as a network or a combination of these, or may be carried on a carrier wave.
Furthermore, the program may be a part of another program, or may be recorded on a recording medium together with a separate program. Moreover, it may be divided and recorded on a plurality of recording media. Further, it may be recorded in any manner as long as it can be restored, such as compression or encryption.

DESCRIPTION OF SYMBOLS 100 ... Device 102 ... Communication module 104 ... Output state measurement module 106 ... Usage state detection module 108 ... Output module 130 ... Device information collection device 132 ... Communication module 134 ... Output state storage module 136 ... Usage state storage module 150 ... Information processing device 152 ... Communication module 154 ... Output state extraction module 156 ... Output state calculation module 158 ... Output state comparison module 160 ... User information / device information storage module 162 ... Usage state extraction module 164 ... Examination time change module 166 ... Examination item change module 168 ... Output module 180 ... Control module 198, 199 ... Communication line 210 ... Image forming apparatus 230 ... Management server 250 ... Service center 299 ... Communication line

Claims (5)

Measurement value storage means for storing measurement values relating to the quality of the device;
Extraction means for extracting measurement values relating to the quality of the device from the measurement value storage means;
Calculation means for calculating a state value indicating the state of the device based on the measurement value extracted by the extraction means;
Comparing means for comparing the state value calculated by the calculating means with a predetermined threshold value of the device;
If the comparison means shows that the quality has dropped as a result of comparison, it comprises a changing means for changing so as to increase the number of measurement items ,
The information processing apparatus according to claim 1, wherein, when there are a plurality of the devices, the changing unit changes the timings for measuring the quality of each device so as not to be the same . The information processing apparatus according to claim 1, further comprising: an output unit that outputs information related to a state of the device based on a comparison result by the comparison unit. 3. The information according to claim 1, wherein, when the change means indicates that the quality has deteriorated as a result of the comparison, the change means further changes so as to advance the timing for performing the measurement relating to the quality of the device. 4. Processing equipment. Utilization state value storage means for storing a utilization state value that is a value related to the utilization state of the device;
Second extraction means for extracting the usage state value of the device from the usage state value storage means;
A second comparing means for comparing the usage state value extracted by the second extracting means with a predetermined threshold value of the device;
2. The change means changes the timing for measuring the quality of the apparatus or the item of the measurement based on the comparison result by the comparison means and the comparison result by the second comparison means. 4. The information processing apparatus according to any one of items 1 to 3 . A computer having measured value storage means for storing measured values relating to the quality of the device;
Extraction means for extracting measurement values relating to the quality of the device from the measurement value storage means;
Calculation means for calculating a state value indicating the state of the device based on the measurement value extracted by the extraction means;
Comparing means for comparing the state value calculated by the calculating means with a predetermined threshold value of the device;
If the comparison result by the comparison means indicates that the quality has dropped, function as a change means to change to increase the number of measurement items ,
When there are a plurality of the devices, the changing means changes the timings for measuring the quality of each device so as not to be the same.
An information processing program characterized by that .

Images