Operation management system and method for an automated egg processing device

Abstract

To provide an operation management system capable of grasping an operating situation and improving working efficiency on the basis of the operating situation.SOLUTION: An operation management system comprises: a first operation management device 30 connected to an i-th device forming an egg treatment system 1 through a communication network; a second operation management device 50 connected to the egg treatment system 1 through the communication network; and a third operation management device 60 connected to the first operation management device 30 and / or the second operation management device 50 through the communication network. The first operation management device 30 comprises: a first reception part 31 for receiving operation information, setting information and identification information of the i-th device, from the i-th device; and a first storage part 32 for storing the operation information, the setting information and the identification information received by the first reception part 31.SELECTED DRAWING: Figure 1A

Description

Technical Field

[0005] , , ,

[0001] The present invention relates to an operation management system and method for an automatic egg processing device.

Background Art

[0002] In egg processing devices, large-scale egg sorting and packaging facilities (such as GP centers) process several tons to dozens of tons of eggs per day. There is a desire to grasp the operating status of these processing devices. Also, there is a desire to grasp the operating status of these processing devices not only beside the installed processing devices but also from a remote location. Moreover, the operators of the processing devices manage multiple devices. Therefore, in case of trouble, they may not be able to respond immediately, and there is also a desire to operate these processing devices from a remote location.

[0003] Patent Document 1 discloses an automatic egg processing device for automatically processing eggs, which includes a management computer for managing a plurality of automatic egg processing devices and a communication line for connecting the automatic egg processing device and the management computer. When an abnormality occurs in the operation of the automatic egg processing device, the abnormality occurrence data is transmitted to the management computer, the cause of the abnormality occurrence is specified from the abnormality occurrence data, and a repair method is taught based on the specified cause of the abnormality occurrence.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] Therefore, the present disclosure provides an operation management system and method for an automatic egg processing device that can grasp the operating status and improve work efficiency from the operating status. Furthermore, other disclosures provide an operation management system and method that can monitor the operating status, enable remote operation of each device, and contribute to labor savings. Furthermore, other disclosures provide operational management systems and methods that can understand and predict operational status. [Means for solving the problem]

[0006] The operational management system for the first automated egg processing device of this disclosure is: The first operational management device (30) is connected via a communication network (101) to the i-th device (i=1~n) that constitutes the chicken egg processing system (1), The egg processing system (1) and the second operational management device (50) are connected via a communication network (101, 501), The system includes a first operation management device (30) and / or a third operation management device (60) connected to the second operation management device (50) via a communication network (101, 501, 601). The operational management system for the second automated egg processing device described in this disclosure is: A field operation management device is connected via a communication network to the i-th device (i=1~n) that constitutes the egg processing system (1), The system includes a remote operation management device connected to the aforementioned on-site operation management device via a communication network. The on-site operation management device corresponds to either the first or second operation management device, and the remote operation management device may correspond to either the second or third operation management device. i is an integer from 1 to n, where n is set by the size and type of the egg processing system (1).

[0007] (Sending, receiving, and saving operational information / settings) The first operation management device (30) is, A first receiving unit (31) receives operation information, setting information, and identification information of the i-th device (e.g., control unit, detection unit, etc.) from the i-th device (e.g., control unit, detection unit, etc.) (e.g., control unit identification information, detection unit identification information, etc.), A first storage unit (32) stores the operation information, setting information, and identification information received by the first receiving unit (31), The system may also include a first transmission unit (311) that transmits the operation information, the setting information, and the identification information to the second operation management device (50) and / or the third operation management device (60). The second operation management device (50) and / or the third operation management device (60) include second and third receiving units (51, 61) that receive the operation information, setting information and identification information transmitted from the first operation management device (30), The system may also include second and third storage units (52, 62) that store the operation information, setting information, and identification information received by the second and third receiving units (51, 61). The second operation management device (50) may include a second transmission unit (511) that transmits the operation information, the setting information, and the identification information to the third operation management device (60). The third receiving unit (61) of the third operation management device (60) receives the operation information, setting information, and identification information transmitted from the second operation management device (50), and the third storage unit (62) may store the operation information and identification information received by the third receiving unit (61). Operational information includes information about the operation of each device, such as the number of raw eggs processed, the number of eggs washed, the number of eggs inspected, the number of containers sealed, the number of boxes sealed, the number of pallets stacked, the power-on time of each device, the power-on time of the conveyor, the inspection time, the power-on time of the light source, the time when the washing water was supplied, the time when the rinsing water was supplied, the time and number of times the valves were opened and closed, the time and number of times abnormal stops occurred, the start and end times of operation, the stop time, video information, image information (including still images and videos at a predetermined frame rate), operator type (newcomer, regular, skilled), and operator location information (movement information, GPS sensor information, location information using smartphone functions). The operational information may also include total operating time (operating time of the control unit, operating time of the conveyor, etc.), the number of times each device is turned ON / OFF, motor rotation speed, motor load rate, encoder count value and rotation speed, solenoid operation count, number of uses of each maintenance function such as cleaning mode, number of uses and time of use of the weighing device, number of uses and number of changes in the operating mode of the sorting and packaging device, number of sensor operations of each inspection device, operating status and number of operations of various sensors (reference position detection sensor, work detection sensor, etc.), vibration data of each device, temperature data of each device, sound data (noise, abnormal noise, vibration sound) of each device, image information of each device or part (including still images and videos at a predetermined frame rate), image information of eggs in the transport state (including still images and videos at a predetermined frame rate), video or image information for monitoring the operator and device, chain elongation, number of air cylinder operations, number of electric actuator operations, filter pressure loss, conveyor travel distance, brush wear, flow rate and pressure of egg washing water and rinse water, number of emergency stop button operations, number of times adhesive tape is used (container sealing), and number of box sealings. The aforementioned operational information includes data from both normal and abnormal operation. The acquisition of operational information is not particularly limited; for example, it may be data obtained from various inspection devices, various data input to the control devices of each device, or data calculated by the control devices of each device.

[0008] (Settings information / updates) The i-device is, An acquisition unit (for example, an input unit, a receiving unit, a reading unit) that acquires setting information related to the processing of the i-device, It comprises a setting information storage unit (119, 129, ...) for storing the aforementioned setting information. "Setting information" includes, for example, operator type mode (beginner, normal), speed mode (low speed, medium speed, high speed), raw egg type mode, conveyor speed, settings for various inspections, egg washing water volume, water pressure, and water temperature, rinsing water volume, water pressure, and water temperature, settings for various target values ​​(number of eggs processed, filling rate for each container type, number of completed items for each container type, inspection defect rate in the inspection device, yield of good products (output)), settings for container type, settings for box type, settings for box packing pattern, settings for the number of boxes stacked, and various other settings. Examples of egg type modes include mixed mode (for example, when each size is mixed fairly uniformly), MS egg mode (for example, when 70% or more are MS size or smaller), L egg mode (for example, when 70% or more are L size), LL egg mode (for example, when 70% or more are LL size), contaminated egg mode (for example, when 20% or more are contaminated eggs), and high-quality mode (for example, when contaminated eggs make up less than 1%). The aforementioned setting information may be sent from the i-th device to the first operation management device, and further transmitted to other operation management devices and stored in each storage unit.

[0009] (Storage of device manufacturing information) The third operation management device (60) is, The device includes a device manufacturing information storage unit (620) for storing manufacturing information of the i-th device relating to the i-th device. "Equipment manufacturing information" includes, for example, equipment identification information, equipment manufacturing completion date, equipment installation date, component manufacturing date, component manufacturer name, component model number, component lot number, component inspection information (inspection date, inspection result), equipment inspection information (inspection date, inspection result), maintenance information (maintenance date, maintenance details (overhaul, cleaning, parts replacement, etc.)), actuator information (operation specifications, etc.), and installation location information (installation company name, contact information, person in charge, etc.). The third operation management device (60) may include an acquisition unit (for example, an input unit, a receiving unit, and a reading unit), and the acquisition unit may acquire the device manufacturing information and store it in the device manufacturing information storage unit (320, 520, 620). The third operation management device may transmit the device manufacturing information to the first and second operation management devices and store it in the first and second storage units. The i-th device manufacturing information may be stored in the storage unit of the i-th device.

[0010] (Analysis and Countermeasures of Operation Information) The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) may be provided with first, second, and third display units (33, 53, 63) for displaying the operation information, the setting information and / or the device manufacturing information, and the identification information. The operation information may include, in addition to the current operation information, information such as the past average operation rate · average processing number, the average operation rate · average processing number of the previous day, the average operation rate · average processing number of the previous lot, and the average operation rate · average processing number of the same time period in the past. Thereby, each piece of information can be confirmed in each operation management device. The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) calculate the operation rate (operation rate for a predetermined period for each i-th device) from one or more pieces of information among the operation information (operation information for each i-th device), analyze the cause of the operation rate decrease in the i-th device with an operation rate lower than the operation rate threshold, and output operation rate decrease cause information (including the analysis result and countermeasures) to an operation rate decrease cause analysis unit (35, 55, 65); and may be provided with an operation rate decrease cause information storage unit (321, 521, 621) for storing the operation rate decrease cause information. The first, second, and third display units (33, 53, 63) may display the operation rate decrease cause information. The operation rate decrease cause information obtained by one operation management device may be transmitted to other operation management devices and stored in each storage unit. The operation rate threshold may be, for example, the target operation rate of the current day, the past average operation rate, the average operation rate of the previous day, the average operation rate of the previous lot, the average operation rate of the same time period in the past, etc. The operation rate reduction factor analysis unit (35, 55, 65) may analyze comparison data including a target value and a processing execution value. Each target threshold value such as the daily target number of products (the number of completed containers for each type, etc.) and the operation rate threshold value is input in advance, and this target value and the processing performance value may be displayed on the monitor of each operation rate management device in real time or according to a display instruction. The input may be manually input by the input unit (39, 59, 69), received from an external device or a storage device by the receiving unit (31, 51, 61), or read from a portable storage medium by the reading unit. When analyzing, the operation rate reduction factor analysis unit (35, 55, 65) may analyze the image information on the upstream side of each device to determine the factors causing the operation rate reduction. When analyzing, the operation rate reduction factor analysis unit (35, 55, 65) may analyze the analysis results of various analysis units (such as the work efficiency information analysis unit, the stop time aggregation unit, the stop factor analysis unit, the abnormal occurrence factor analysis unit, the state change analysis unit, the raw egg quality analysis unit, the operator information analysis unit, the setup change information analysis unit, etc.) to determine the factors causing the operation rate reduction. The operation rate reduction factor analysis unit (35, 55, 65) may output the analysis data (various operation information, device manufacturing information, setting information, analysis results of various analysis units) used in the analysis corresponding to the analysis result, or output it together with the analysis result. The countermeasures may be set according to the type of the factors causing the operation rate reduction and the degree of the reduction. The operation rate reduction factor analysis unit identifies the devices with an operation rate below the operation rate threshold value and analyzes the factors causing the operation rate reduction of those devices. For example, if the number of container accommodation processes decreases and the defective rate in the inspection device increases, the operation rate reduction factor analysis unit may determine that one or more factors such as an increase in the defective egg rate contained in the raw eggs, an abnormality in the inspection device, an abnormality in the removal device, and an abnormality in the egg washing device have occurred. For example, if the target value is a pre-set filling rate for each container type or the number of completed containers for each container type, the actual value of the filling rate (= number of filled eggs per type (number of completed containers for each type) / total number of filled eggs (total number of completed containers)) is compared with the target value. If there is a difference within a predetermined range (a threshold for increase or decrease (for example, a threshold in the range of 1% to 10%)) (for example, there are many small eggs and few large eggs, or vice versa), factors such as inappropriate distribution of the number of completed containers for each container type, different raw egg types than expected (raw egg information entered in advance), many abnormal judgments for eggs of a specific size, foreign objects interfering with the transport of raw eggs or containers, or malfunctions in setting the containers from the container magazine to the egg filling position may be analyzed (judged). For example, by comparing the target working time or target number of eggs processed with the actual working time or number of eggs processed, if the actual value is smaller, factors such as excessive idle operation or no raw eggs flowing (for example, a problem on the raw egg conveyor side, or a lot with an extremely small number of eggs) may be analyzed (determined). This allows for the analysis of factors contributing to decreased operating rates for each individual device or the entire system, and enables notification to operators (display, print, or voice). Furthermore, for example, if the rate of defective eggs in the first inspection device (13) is relatively lower than a preset threshold, but the rate of defective eggs in the second inspection device (18) is higher than a preset threshold, and the number of containers processed is lower than a preset threshold, it may be determined that one or more factors such as a malfunction in the inspection device, a malfunction in the drying device, or a malfunction in the orientation alignment device have occurred. For example, when the reference position sensor of the conveyor of the i-th device changes state from on to off, the count value of the encoder of the i-th device is compared with a pre-set reference value. If the difference exceeds a pre-set threshold, the system may analyze that stretching or timing discrepancies have occurred in the conveyor chain and output a message indicating that adjustment is necessary. Furthermore, the system may compare the count value of the encoder of device j, which operates in conjunction with device i, or the count value of the encoder of device i when the conveyor reference position sensor changes state to on or off, with a pre-set reference value. If the difference exceeds a pre-set threshold, the system may analyze that a timing discrepancy has occurred between device i and device j and output a message indicating that adjustment is necessary.

[0011] (Outputs information that contributes to improving work efficiency) The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, A work efficiency information analysis unit (36, 56, 66) analyzes one or more pieces of past operational information and one or more pieces of setting information from the time of that past operational information, and outputs work efficiency information which is the work efficiency of each device or all devices. The system may also include work efficiency information storage units (322, 522, 622) for storing the aforementioned work efficiency information. The first, second, and third display units (33, 53, 63) may also display information that allows for comparison between the work efficiency information and the current processing volume (for example, the number of raw eggs processed, the number of eggs washed, the number of inspection processes (number of defective products, number of good products), the number of containers sealed, the number of boxes sealed, etc.). The work efficiency information obtained by the operation management device 1 may be transmitted to other operation management devices and stored in their respective storage units. Examples of work efficiency information include the average number of processes and the combination of operational and configuration information at that time, the maximum number of processes and the combination of operational and configuration information at that time, the minimum number of processes and the combination of operational and configuration information at that time, and information comparing operational information, configuration information, and the above combination information with the average number of processes during the analysis period. Work efficiency information (information that contributes to improving work efficiency) may include the required number of products to be produced (number of containers, number of fixed weights, etc.), the required number of raw eggs (number considering the expected / average / previous defective egg rate), and guideline information on size ratio and weight ratio. Furthermore, work efficiency information (information that contributes to improving work efficiency) may also include information on the lot to be processed (estimated processing weight, guideline information on size ratio / weight ratio, etc.), estimated data on the number of completed products, and the scheduled end time of the work (work period). This information may be manually entered by the input unit (39, 59, 69), received from an external device or storage device by the receiving unit (31, 51, 61), or read from a portable storage medium by the reading unit. A daily target number of products (number of completed containers for each type, etc.) may be pre-entered, and this target value and the actual processing value may be displayed in real time or according to display instructions on the monitor of each operating rate management device. The aforementioned work efficiency information analysis units (36, 56, 66) may, when performing the analysis, analyze the image information on the upstream side of each device and determine whether or not it contributes to improving work efficiency. The aforementioned work efficiency information analysis unit (36, 56, 66) may, when performing the analysis, analyze the analysis results of various analysis units (such as the operating rate reduction factor analysis unit, downtime aggregation unit, downtime factor analysis unit, abnormal occurrence factor analysis unit, state change analysis unit, raw egg quality analysis unit, operator information analysis unit, setup change information analysis unit, etc.) to determine the factors causing the decrease in operating rate. The aforementioned work efficiency information analysis units (36, 56, 66) may output the analysis data used for the analysis (various operational information, equipment manufacturing information, setting information, and analysis results from various analysis units) in accordance with the analysis results, or they may output the data together with the analysis results. These methods allow for the extraction of optimal working conditions for each i-th device or for the entire system, and notification to the operator (display, print, or voice).

[0012] (Counting downtime) The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, A downtime aggregation unit (371, 571, 671) aggregates downtime from one or more types of information among the aforementioned operational information, The system may also include a stop cause analysis unit (372, 572, 672) that analyzes the cause of the stop from one or more types of information among the operational information (and one or more types of information among the setting information) and outputs stop cause information. The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, The system may also include an abnormality cause analysis unit (373, 573, 673) that analyzes the cause of an abnormality from one or more types of information among the operational information (and one or more types of information among the setting information) and outputs abnormality cause information. The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, The system may also include a stop / abnormality cause storage unit (323, 523, 623) for storing the stop time, the stop cause, and the abnormality occurrence cause. The first, second, and third display units (33, 53, 63) may display the stop time, the stop cause information, and the abnormality occurrence cause information. The downtime, downtime cause information, and abnormality cause information obtained by the operation management device 1 may be transmitted to other operation management devices and stored in their respective storage units. The stoppage cause analysis unit (372, 572, 672) may, for example, identify the stopped equipment and determine that the stoppage is due to maintenance, cleaning, component malfunction, abnormal stoppage, emergency stoppage, stoppage for raw egg lot changeover, stoppage for container type changeover, stoppage for box type changeover, stoppage related to working hours and work breaks, etc. The stop factor analysis unit (372, 572, 672) may, for example, output information regarding changing the processing speed of the upstream device or changing the distribution destination settings to adjust the amount sent to the downstream device, if it determines that the cause of repeated stoppages is a full-load stoppage due to the supply of eggs or products from the upstream device exceeding the processing capacity of the downstream device. List data of stopping times for each stopping reason or stopping location (stopped device), performance data for each period unit such as hours, days, or months, and list data of stopping reasons and stopping locations (stopped devices) for each lot may be created and displayed on the display unit of each operation management device. Summary data of downtime due to container switching processes (setup changes), raw egg lot changes, etc., may be created and displayed on the display unit of each operation management device. Based on aggregated data on downtime and / or the number of completed container seals, the setup change information analysis unit, described later, may determine whether a setup change is necessary. The stopping factor analysis unit (372, 572, 672) may analyze the stopping factors at the terminal conveyor section of the sorting and packaging device, such as an emergency stop button pressed by a human monitor, stopping during container replenishment, stopping by the tray stacking device, discharge exceeding a threshold at a location where a specific type of egg is discharged, and discharge of only eggs of a specific size below a threshold. The aforementioned stop cause analysis units (372, 572, 672) may analyze image information from the upstream side of each device to determine the cause of the stop. The aforementioned stoppage factor analysis unit (372, 572, 672) may, when performing the analysis, analyze the analysis results of various analysis units (operating rate reduction factor analysis unit, work efficiency information analysis unit, downtime aggregation unit, abnormal occurrence factor analysis unit, state change analysis unit, raw egg quality analysis unit, operator information analysis unit, setup change information analysis unit, etc.) to determine the cause of the stoppage. The aforementioned stop factor analysis units (372, 572, 672) may output the analysis data used for the analysis (various operational information, equipment manufacturing information, setting information, and analysis results from various analysis units) in accordance with the analysis results, or they may output the data together with the analysis results. The abnormal occurrence cause analysis unit (373, 573, 673) identifies the equipment experiencing the abnormality and analyzes the cause of the abnormality. For example, if the number of containers processed decreases and the defect rate in the inspection equipment increases, the abnormal occurrence cause analysis unit may determine that one or more factors have occurred, such as an increase in the defect rate of raw eggs, a malfunction in the inspection equipment, a malfunction in the rejection equipment, or a malfunction in the egg washing equipment. For example, the abnormality cause analysis unit (373, 573, 673) may analyze factors causing abnormalities in the weighing device, such as improper egg positioning during weighing, and weighing extremely large, extremely small, or deformed eggs. If there is dirt or debris causing soiled or broken eggs, cleaning may be instructed. For example, the abnormal occurrence cause analysis unit (373, 573, 673) may analyze the causes of abnormal occurrences in the terminal conveyor section of the sorting and packaging device, such as poor egg positioning in the cup, poor positioning of trays or containers, eggs falling onto the terminal conveyor, insufficient filling of specific containers or trays, and overdistribution to specific types (defective eggs / specific sizes, etc.). The aforementioned abnormality cause analysis unit (373, 573, 673) may analyze the image information on the upstream side of each device to determine the cause of the abnormality during the analysis. The aforementioned abnormality occurrence cause analysis unit (373, 573, 673) may, when performing the analysis, analyze the analysis results of various analysis units (operating rate reduction cause analysis unit, work efficiency information analysis unit, downtime aggregation unit, downtime cause analysis unit, state change analysis unit, raw egg quality analysis unit, operator information analysis unit, setup change information analysis unit, etc.) to determine the cause of the abnormality. The aforementioned abnormality occurrence cause analysis units (373, 573, 673) may output the analysis data used for the analysis (various operational information, equipment manufacturing information, setting information, and analysis results from various analysis units) in accordance with the analysis results, or they may output the data together with the analysis results. This allows for the analysis of downtime, downtime causes, and abnormality causes for each individual device or the entire system, and enables notification to operators (display, print, voice), allowing for the rapid implementation of effective countermeasures.

[0013] (Analyze the change in state) The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, A state change analysis unit (381, 581, 681) analyzes state changes from one or more types of information among the aforementioned operational information and outputs state change information (including the time when the state change occurred), The system may also include state change storage units (324, 524, 624) that store the state change information and / or information about the state in which the state change occurred. The first, second, and third display units (33, 53, and 63) may compare and display the state change information with the state in which no state change has occurred. The state change information obtained by the operation management device 1 may be transmitted to other operation management devices and stored in their respective storage units. The state change analysis unit may, for example, compare the average value over a predetermined period in the past with the value to be judged, and determine that a state change has occurred when the value is above or below a predetermined percentage of the average value. The state change analysis unit may also determine that a change in the number of processed eggs has occurred when there is a change of 10% or less or 10% or more in the number of processed eggs from the average number of processed eggs, and output state change information including the time when the change occurred, the time when it recovered to its original state (returned to the average value), the type of operational information affected by the state change (e.g., number of eggs inspected, number of raw eggs, number of washed eggs, number of eggs in containers, etc.), and identification information of the device affected by the state change (e.g., conveying device, egg washing device, various inspection devices, sorting and packaging device, sealing device, etc.). The state change analysis unit (381, 581, 681) may analyze and evaluate the characteristics of the sound (noise, abnormal noise, vibration sound) data of each device by analyzing its magnitude, duration, occurrence cycle, frequency spectrum analysis, etc., and compare it with a preset reference value to determine that a state change has occurred. Furthermore, it may analyze the similarity to sounds specific to the device or installation location that have been pre-registered and output an estimated cause. The state change analysis unit (381, 581, 681) may perform image analysis on the image data captured by the imaging unit of each device and detect and output any unusual state changes, such as spilled eggs, contamination by egg liquid, or poor transfer to downstream devices. The state change analysis unit may compare the average rate of change (ΔP_0) over a predetermined period in the past with the rate of change (ΔP_t) of the subject to judgment, and may determine that a state change has occurred if the rate of change (ΔP_t) is greater than or equal to a predetermined percentage of the average rate of change (ΔP_0). "Status change information" includes, for example, the start and end times of the status change, operational information of the status change (e.g., number of inspections, number of raw eggs, number of washed eggs, number of containers, power-on time, number of operation instructions, etc.), identification information of the device that underwent the status change, and installation information of the device that underwent the status change and other information. The state change analysis units (381, 581, 681) may analyze the image information on the upstream side of each device to determine the state change during the analysis. The aforementioned state change analysis unit (381, 581, 681) may, when performing the analysis, analyze the analysis results of various analysis units (such as the operating rate reduction factor analysis unit, work efficiency information analysis unit, downtime aggregation unit, downtime factor analysis unit, abnormal occurrence factor analysis unit, raw egg quality analysis unit, operator information analysis unit, setup change information analysis unit, etc.) to determine the state change. The state change analysis units (381, 581, 681) may output the analysis data used for the analysis (various operational information, equipment manufacturing information, setting information, and analysis results from various analysis units) in accordance with the analysis results, or they may output the data together with the analysis results.

[0014] (Analysis of the raw eggs) The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, An acquisition unit (for example, an input unit, a receiving unit, a reading unit) that acquires raw egg information, The egg information storage unit (325, 525, 625) stores the egg information, The system may also include a raw egg quality analysis unit (382, 582, 682) that analyzes one or more types of raw egg information and one or more types of operational information to output raw egg quality information, which represents the quality of the raw egg. Raw egg information may include, for example, chicken coop information, laying date and time, raw egg type, raw egg quality, lot information, eggshell information, feed information, and whether or not the raw eggs were sorted. The raw egg information may be manually entered by the input unit (39, 59, 69), received from an external device or storage device by the receiving unit (31, 51, 61), or read from a portable storage medium by the reading unit. The raw egg quality analysis unit (382, 582, 682) may determine the quality of raw eggs based on information such as the defect rate, number of eggs processed, operating rate, number of abnormal shutdowns, and number of emergency shutdowns. Raw egg quality information may include, for example, information such as the quality of raw eggs per lot, the quality of eggs per chicken coop, the quality of the raw egg transport company, and the quality of the raw egg transport method. The aforementioned raw egg quality analysis units (382, 582, 682) may analyze image information from the upstream side of each device to determine the raw egg quality during analysis. The raw egg quality analysis unit (382, 582, 682) may, when performing the analysis, analyze the results of various analysis units (such as the operating rate reduction factor analysis unit, the work efficiency information analysis unit, the downtime aggregation unit, the downtime factor analysis unit, the abnormal occurrence factor analysis unit, the state change analysis unit, the operator information analysis unit, the setup change information analysis unit, etc.) to determine the raw egg quality. The raw egg quality analysis units (382, 582, 682) may output the analysis data used for the analysis (various operational information, equipment manufacturing information, setting information, and analysis results from various analysis units) in accordance with the analysis results, or they may output the data together with the analysis results. This allows for quality assessments to be conducted for each batch of raw eggs, as well as for the source of the raw eggs (the chicken coop / farm) and the means of transportation. The first, second, and third display units (33, 53, and 63) may display the raw egg quality information. The raw egg quality information obtained by the operation management device 1 may be transmitted to other operation management devices and stored in their respective storage units.

[0015] (Analysis at the operator level) The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, An operator information analysis unit (383, 583, 683) analyzes one or more types of information from the aforementioned operational information and one or more types of information from the aforementioned setting information on an operator-by-operator basis and outputs operator information, The system may also include an operator information storage unit (326, 526, 626) for storing the aforementioned operator information. The operator information analysis unit analyzes one or more of the following based on operator identification information, operator type, operator location information, operator mode, and operator movement information: decreased operating rate, defective egg rate, work efficiency, downtime, number of stops, occurrence of abnormalities, and status changes. The methods used for each analysis are the same as those used by the analysis unit described above. Operator information may include, for example, information for each operator on how to improve reduced operating rates, improve work efficiency, reduce downtime, reduce the occurrence of abnormalities, the recommended number of operators for each piece of equipment, data on how operating rates change depending on the number of operators, data on how operating rates change when the number of operators is increased or decreased, and information on suggestions for improvements such as increasing personnel or increasing the frequency of patrols when abnormalities occur or operating rates decline and the operator is not highly skilled. For example, the analysis may determine whether the rate of defective eggs tends to be higher or lower than a preset threshold or average rate when a specific operator performs a specific process, and output the results (e.g., display, send, notify, print, save). For example, when a specific operator performs a specific process, the system may analyze whether the number of stoppages or anomalies tend to be higher or lower than a predetermined threshold or average (average number of stoppages, average number of anomalies), and output the results (e.g., display, send, notify, print, save). The operator information analysis units (383, 583, 683) may analyze the image information upstream of each device to determine the operator information during the analysis. The aforementioned operator information analysis unit (383, 583, 683) may, when performing the analysis, analyze the analysis results of various analysis units (such as the operating rate reduction factor analysis unit, work efficiency information analysis unit, downtime aggregation unit, downtime factor analysis unit, abnormal occurrence factor analysis unit, state change analysis unit, raw egg quality analysis unit, setup change information analysis unit, etc.) to determine operator information. The operator information analysis units (383, 583, 683) may output the analysis data used for the analysis (various operational information, equipment manufacturing information, setting information, and analysis results from various analysis units) in accordance with the analysis results, or they may output the data together with the analysis results. This allows for the identification of improvement issues for each operator. The first, second, and third display units (33, 53, and 63) may display the operator information. The operator information obtained by the operation management device 1 may be transmitted to other operation management devices and stored in their respective storage units.

[0016] (Analysis of setup changes) The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, A setup change information analysis unit (384, 584, 684) analyzes one or more types of information from the aforementioned operational information and one or more types of information from the aforementioned setting information, and outputs setup change information. The system may also include a setup change information storage unit (327, 527, 627) for storing the aforementioned setup change information. The setup information may include, for example, changes in raw egg type, container type settings, box type settings, size classification settings, distribution settings, operating rates before and after each setting change, number of items processed, defect rate (e.g., defective egg rate, defective container lid rate), number of operators, operator type, operator location information, information on equipment shutdown and restart before and after setup changes, information on the order of equipment shutdown and restart during setup changes, information on the optimal setup scheme, and information on setup improvements. For example, the differences in setup downtime due to differences in the processing order of raw eggs and the manufacturing order of products may be analyzed and output (e.g., displayed, transmitted, notified, printed, saved). For example, when a specific operator performs a setup change for a specific process, the system may analyze whether the time until restart tends to be longer or shorter than a preset threshold or average time until restart, and output the results (e.g., display, send, notify, print, save). The aforementioned setup change information analysis units (384, 584, 684) may analyze the upstream image information of each device to determine the setup change information during the analysis. The aforementioned setup change information analysis unit (384, 584, 684) may, when performing the analysis, analyze the analysis results of various analysis units (such as the operating rate reduction factor analysis unit, work efficiency information analysis unit, downtime aggregation unit, downtime factor analysis unit, abnormal occurrence factor analysis unit, state change analysis unit, raw egg quality analysis unit, operator information analysis unit, etc.) to determine the setup change information. The aforementioned setup change information analysis units (384, 584, 684) may output the analysis data used for the analysis (various operational information, equipment manufacturing information, setting information, and analysis results from various analysis units) in accordance with the analysis results, or they may output the data together with the analysis results. These measures enable efficiency improvements during setup changes and allow for the identification of areas for improvement. The first, second, and third display units (33, 53, and 63) may display the setup change information. The changeover information obtained by the operation management device 1 may be transmitted to other operation management devices and stored in their respective storage units.

[0017] (Remote image monitoring) The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, A receiving unit (31, 51, 61) receives one or more types of image information from each i-th device (or its transmitting unit), including image information of the i-th device or its components (including still images and videos at a predetermined frame rate), image information of eggs in transport state (including still images and videos at a predetermined frame rate), and image information for monitoring the operator and the i-th device (including still images and videos at a predetermined frame rate). The system may also include storage units (32, 52, 62) for storing each image information received by the receiving unit. The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, The system may also include display units (33, 53, 63) for displaying the aforementioned image information. In the analysis process of various analysis units, such as when operating rate decreases, stops, abnormal stops, or changes in status, and / or in response to the analysis results, image information may be displayed on the display unit of each operation management device. Image information may also be received and displayed on a mobile terminal (40). As a result, each operating rate management device can monitor the operating status of each device and the actions of the operators, contributing to reducing the number of operators required.

[0018] (Remote control) The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, A setting information display unit (333, 533, 633) that displays one or more of the current setting information of the i-th device (control unit), A setting information input unit (392, 592, 692) that modifies one or more of the setting information while referring to one or more of the setting information, The system may also include a change setting information transmission unit (3111, 5111, 6111) that transmits the change setting information entered in the setting information input unit to the i-th device involved in the change. The setting information display units (333, 533, 633) may display the same data as the various data displayed in the selection information display unit or the detailed information display unit. The i-th device may also include a setting information input unit (1191, 1291, ...) that receives the change setting information with the acquisition unit (receiving unit 1181, 1281, ...) and updates the current setting information with the change setting information. The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, The system may also include means for accessing the i-th device and updating the current configuration information of the i-th device using the acquisition unit (input unit) of the i-th device. These features allow setting information, which was previously entered directly into the control unit of each device, to be entered and modified using other remote devices. This eliminates the need to be near each device, contributing to faster setup and reduced manpower.

[0019] (Use of a learning model (inferred information output)) The aforementioned operating rate reduction factor analysis unit may estimate and output the operating rate reduction factors and improvement measures by inputting the operating information and setting information into an operating rate reduction factor analysis learning model created by intelligent information technology, which includes training data (or artificially created training data) that includes one or more types of setting information from when the operating rate decreased in the past, the operating rate for each i-device, the operating rate threshold, the factors causing the operating rate to decrease, and improvement measures for those factors causing the operating rate to decrease. The aforementioned shutdown cause analysis unit may estimate and output shutdown causes and countermeasures for those shutdowns by inputting one or more types of operational information and one or more types of configuration information corresponding to the training data into a shutdown cause analysis learning model created by intelligent information technology using training data (or artificially created training data) that includes one or more types of configuration information, one or more types of operational information, the shutdown cause, and countermeasures for the shutdown cause from past shutdowns. One or more of the aforementioned operational information may include, for example, image information (still images and / or videos of the device, parts of the device, components of the device, operator actions, egg transport status, container transport status, conveyor status, device operation, etc.) and operator movement information. The aforementioned abnormal occurrence cause analysis unit may estimate and output the cause of an abnormal operation and its corrective measures by inputting the operational information and setting information corresponding to the training data into an abnormal occurrence cause analysis learning model created by intelligent information technology, using training data (or artificially created training data) that includes one or more types of setting information, one or more types of operational information, the cause of the abnormal occurrence, and corrective measures for the abnormality when an abnormality occurred in the past. One or more of the aforementioned operational information may include, for example, image information (still images and / or videos of the device, parts of the device, components of the device, operator actions, egg transport status, container transport status, conveyor status, device operation, etc.) and operator movement information. The setup change information analysis unit may estimate and output the optimal setup change procedure and improvement measures by inputting the operation information and setup information corresponding to the training data into a setup change information analysis learning model created by intelligent information technology, using training data (or artificially created training data) that includes one or more types of setting information, one or more types of operation information, the setup change procedure, and the procedure for improving the setup change from past setup changes. One or more of the aforementioned operational information may include, for example, image information (still images and / or videos of the device, parts of the device, components of the device, operator actions, egg transport status, container transport status, conveyor status, device operation, etc.) and operator movement information. Each of the aforementioned training data may include other or additional information, but is not limited to those described above.

[0020] (Estimated by remote monitoring (future prediction)) The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, The system may also include a future operation estimation unit (351, 551, 651) that estimates and outputs future operating conditions by inputting operating information and setting information into a future operation estimation learning model created by intelligent information technology using training data (or artificially created training data) that includes one or more types of setting information and one or more types of operating information (and may also include one or more types of equipment manufacturing information) from past normal and abnormal conditions. The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, The system may also include a future operation image estimation unit (352, 552, 652) that estimates and outputs future operation conditions by inputting image information of the i-th device or its components (including still images and videos at a predetermined frame rate), image information of eggs in transport (including still images and videos at a predetermined frame rate), and / or image information for monitoring the operator and the i-th device (including still images and videos at a predetermined frame rate) into a future operation image estimation learning model created by intelligent information technology using training data (or artificially created training data) that includes image information of the i-th device or its components (including still images and videos at a predetermined frame rate), image information of eggs in transport (including still images and videos at a predetermined frame rate), and / or image information for monitoring the operator and the i-th device (including still images and videos at a predetermined frame rate). Future operational status data may include, for example, predictions of the number of eggs processed, operating rate, number of completed containers, defect rate, yield rate, number of abnormal stoppages, number of stoppages, stoppage time, and state changes at a predetermined future time (e.g., a few minutes later, or one to several hours later). Each analysis unit may use the future operating status data output above to perform its analysis. For example, it may compare the actual values ​​as a reference value, either in place of or in conjunction with the input target values.

[0021] The "intelligent information processing technologies" mentioned above include, for example, machine learning, deep learning, reinforcement learning, and deep reinforcement learning. The algorithms for machine learning, deep learning, reinforcement learning, and deep reinforcement learning are not particularly limited, and conventional algorithms may be used. As supervised learning, various algorithms such as linear regression, generalized linear models, support vector regression, Gaussian process regression, ensemble methods, decision trees, neural networks, support vector machines, discriminant analysis, Naive Bayes, and nearest neighbor methods may be employed. Each analysis unit may read each learning model from the memory unit in which it is stored and execute it on one or more processors. The processors may consist of one or more CPUs, MPUs, GPUs, IPUs (Intelligence Processing Units), etc.

[0022] (condition extraction) The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, A condition extraction unit (385, 585, 685) outputs extracted information based on extraction conditions from one or more of the following: the information on factors causing a decrease in operating rate, the information on work efficiency, the downtime, the information on factors causing the downtime, the information on factors causing the abnormality, the information on changes in state, the information on raw egg quality, the information on operators, the information on setup changes, the image information from remote monitoring, and the data on future operating status. The system may also include an extraction information storage unit (328, 528, 628) for storing the aforementioned extraction information. Extraction criteria may include, for example, operator, equipment, date, raw egg lot, etc. The first, second, and third display units (33, 53, and 63) may display the extracted information. The extracted information obtained by the operation management device 1 may be transmitted to other operation management devices and stored in their respective storage units.

[0023] (Display of various information) The first operation management device (30), the second operation management device (50), and / or the third operation management device (60) are, An information selection unit (391, 591, 691) selects one or more pieces of information (items) to display from among the aforementioned operation information, raw egg information, setting information, device manufacturing information, operating rate reduction factor information, work efficiency information, downtime, stop factor information, abnormal occurrence factor information, state change information, operator information, setup change information, image information in remote monitoring, and data on future operating status, A selection information display unit (331, 531, 631) that displays one or more of the selected information, The system may also include a detailed information display unit (332, 532, 632) that selects one or more of the above and displays them in detail. These features allow various types of data to be displayed in locations different from the device installation site.

[0024] (Data sharing) The first transmission unit (311) of the first operation management device (30), the second transmission unit (511) of the second operation management device (50), and / or the third transmission unit (611) of the third operation management device (60) are: One or more of the following may be transmitted to the external device (40): operation information, raw egg information, setting information, device manufacturing information, operating rate reduction factor information, work efficiency information, downtime, stop factor information, abnormality occurrence factor information, state change information, operator information, and setup change information. The external device (40) may consist of, for example, a mobile terminal (mobile PC, smartphone, tablet).

[0025] The first, second, and third operation management devices (30, 50, and 60) may be composed of, for example, information processing devices. The information processing devices may be composed of, for example, computers, cloud servers, on-premise servers, mobile terminals (mobile PCs, smartphones, tablets), etc.

[0026] The storage unit (storage device) may be a non-volatile memory such as an EPROM, HDD, SSD, or NAS, or a volatile memory such as DRAM. If data needs to be retained, it is preferable to use a non-volatile memory. The display unit (display device) is not particularly limited, and examples include liquid crystal monitors, organic EL monitors, CRT monitors, smartphones, tablets, and general-purpose personal computer monitors. The receiving unit and transmitting unit are composed of wired communication means and wireless communication means, and are configured to communicate data with external devices (server, external storage device).

[0027] (Egg processing system) The egg processing system is comprised of, for example, a first conveying device for supplying raw eggs, an egg washing device, a first inspection device, a first rejection device, a second rejection device, a drying device, a direction alignment device, a second inspection device, a third rejection device, a weighing device, a sorting and packaging device, a third inspection device, a palletizer, a conveying device connecting each device section, a label supply device, and the like. The downstream equipment of the egg processing system is changed according to the final product's shipping form (container, rack, box, pallet). Furthermore, the upstream equipment is changed according to the raw egg supply form (tray, rack, raw eggs supplied directly from the poultry farm). In addition, the weighing device, inspection device, and rejection device are also composed of various devices depending on the system configuration. The aforementioned egg processing system may include an egg supply device, an egg cracking device, various inspection devices, etc., in a liquid egg processing facility. The egg processing system may include an egg transfer device, an incubation device, various inspection devices, etc., in a hatching facility.

[0028] Other disclosed methods for managing the operation of automated egg processing equipment are performed by one or more processors or information processing devices. An operation rate reduction factor analysis step calculates the operation rate (operation rate for each i-th device over a predetermined period) from operation information (one or more types of operation information for each i-th device), analyzes the factors causing the decrease in operation rate for the i-th device with an operation rate lower than the operation rate threshold, and outputs information on factors causing the decrease in operation rate (including analysis results and countermeasures). A work efficiency information analysis step that analyzes one or more types of past operational information and one or more types of setting information at the time of one or more types of past operational information, and outputs work efficiency information which is the work efficiency of each device or all devices, A downtime aggregation step that aggregates downtime from one or more types of operational information, A stop cause analysis step that analyzes the cause of the stop from one or more types of operational information (and one or more types of setting information) and outputs the cause of the stop, An abnormality cause analysis step that analyzes the cause of an abnormality from one or more types of operational information (and one or more types of setting information) and outputs abnormality cause information, A state change analysis step that analyzes state changes from one or more types of operational information and outputs state change information (including the time when the state changed), A raw egg quality analysis step that analyzes one or more types of information from raw egg information and operational information to output raw egg quality information, which represents the quality of the raw egg, An operator information analysis step that analyzes one or more types of operational information and one or more types of configuration information on an operator-by-operator basis and outputs operator information, The system includes one or more steps, including a setup change information analysis step that analyzes one or more types of operational information and one or more types of configuration information to output setup change information. The aforementioned operation management method is, The process may further include receiving one or more types of image information from each i-th device, including image information of the i-th device or its components, image information of eggs in the transport state, and image information for monitoring the operator and the i-th device, and storing each of the received image information in a storage unit. The aforementioned operation management method is, The system may further include a future operation estimation step, in which the system estimates and outputs future operating conditions by inputting operating information and configuration information into a future operation estimation learning model created by intelligent information technology using training data that includes one or more types of configuration information and one or more types of operating information from past normal and abnormal conditions. The aforementioned operation management method is, The system may further include a future operation image estimation step, in which the image information of the i-th device or its components, the image information of eggs in transport, and / or the image information for monitoring the operator and the i-th device are input to a future operation image estimation learning model created by intelligent information technology using training data that includes image information of the i-th device or its components, image information of eggs in transport, and / or the image information for monitoring the operator and the i-th device during past normal and abnormal conditions, in order to estimate and output future operation conditions. The aforementioned operation management method is, The system may include a condition extraction step that outputs extracted information based on extraction conditions from one or more of the following: information on factors causing a decrease in operating rate, information on work efficiency, downtime, information on factors causing stoppages, information on factors causing abnormalities, information on changes in state, information on raw egg quality, information on operators, and information on setup changes. The aforementioned operation management method is, An information selection step in which one or more pieces of information (items) to be displayed from among the aforementioned operation information, raw egg information, setting information, device manufacturing information, operating rate reduction factor information, work efficiency information, downtime, stop factor information, abnormal occurrence factor information, state change information, operator information, and setup change information, A selection information display step that displays one or more selected pieces of information, The step may include a detailed information display step in which one or more of the above types are selected and displayed in detail.

[0029] The aforementioned operation management method is, A setting information display step that displays the current setting information of the i-th device (control unit), A setting information input step in which one or more pieces of the setting information are changed while referring to the aforementioned setting information, A change setting information transmission step which transmits the change setting information entered in the setting information input step to the aforementioned i device related to the change, The i-th device may include a setting information update step of receiving the change setting information and updating the current setting information with the change setting information.

[0030] Other disclosed methods for remotely controlling egg processing systems are performed by one or more processors or information processing devices. The procedure includes the step of accessing the i-th device and updating the current configuration information of the i-th device using the input section of the i-th device.

[0031] Other disclosed automated egg processing device operation management programs are: One or more processors or information processing devices (computers, servers, mobile terminals) An operation rate reduction factor analysis step calculates the operation rate (operation rate for each i-th device over a predetermined period) from operation information (one or more types of operation information for each i-th device), analyzes the factors causing the decrease in operation rate for the i-th device with an operation rate lower than the operation rate threshold, and outputs information on factors causing the decrease in operation rate (including analysis results and countermeasures). A work efficiency information analysis step that analyzes one or more types of past operational information and one or more types of setting information at the time of one or more types of past operational information, and outputs work efficiency information which is the work efficiency of each device or all devices, A downtime aggregation step that aggregates downtime from one or more types of operational information, A stop cause analysis step that analyzes the cause of the stop from one or more types of operational information (and one or more types of setting information) and outputs the cause of the stop, An abnormality cause analysis step that analyzes the cause of an abnormality from one or more types of operational information (and one or more types of setting information) and outputs abnormality cause information, A state change analysis step that analyzes state changes from one or more types of operational information and outputs state change information (including the time when the state changed), A raw egg quality analysis step that analyzes one or more types of information from raw egg information and operational information to output raw egg quality information, which represents the quality of the raw egg, An operator information analysis step that analyzes one or more types of operational information and one or more types of configuration information on an operator-by-operator basis and outputs operator information, This program implements one or more steps, including a setup change information analysis step that analyzes one or more types of operational information and one or more types of configuration information to output setup change information. The aforementioned operation management program, One or more processors or information processing devices (computers, servers, mobile terminals) This program implements a condition extraction step that outputs extracted information based on extraction conditions from one or more of the following: information on factors causing a decrease in operating rate, information on work efficiency, downtime, information on factors causing the stoppage, information on factors causing the abnormality, information on changes in state, information on the quality of the raw eggs, information on the operator, and information on the changeover. The aforementioned operation management program, One or more processors or information processing devices (computers, servers, mobile terminals) An information selection step in which one or more pieces of information (items) to be displayed from among the aforementioned operation information, raw egg information, setting information, device manufacturing information, operating rate reduction factor information, work efficiency information, downtime, stop factor information, abnormal occurrence factor information, state change information, operator information, and setup change information, A selection information display step that displays one or more selected pieces of information, This program implements a detailed information display step in which one or more of the above types are selected and displayed in detail. [Brief explanation of the drawing]

[0032] [Figure 1A] This figure shows an example of an operational management system for an egg processing system. [Figure 1B] This figure shows an example of an operational management system for an egg processing system. [Figure 1C] This figure shows an example of the function of each device. [Figure 1D] This figure shows an example of the function of each device. [Figure 1E] This figure shows an example of the function of each device. [Figure 1F]This figure shows an example of operational information. [Figure 1G] This figure shows an example of configuration information. [Figure 1H] This figure shows an example of equipment manufacturing information. [Figure 1I] This figure shows an example of the operational information that is accumulated. [Figure 2A] This is a functional block diagram showing an example of the functions of the operational management system of Embodiment 1. [Figure 2B] This is a functional block diagram showing an example of the functions of the operation management system of Embodiment 2. [Figure 2C] This is a functional block diagram showing an example of the functions of the operational management system of Embodiment 3. [Figure 3A] This figure shows an example of how to select display items. [Figure 3B] This figure shows an example of the output of operational information. [Figure 3C] This figure shows an example of the settings information update screen. [Figure 3D] This figure shows an example of the settings information update screen. [Figure 4A] This figure shows an example of the inspection screen of an inspection device. [Figure 4B] This figure shows an example of the settings screen for an inspection device. [Figure 4C] This figure shows an example of an analysis screen. [Figure 4D] This is a diagram showing an example of a remote screen. [Figure 5] This figure shows an example of an operational management system for another egg processing system. [Modes for carrying out the invention]

[0033] (Embodiment 1) Figures 1A and 1B show an example of the egg processing system 1 and the first, second, and third operational management devices 30, 50, and 60. The egg processing system 1 in this embodiment includes a conveying device 11, an egg washing device 12, a first inspection device 13, a first rejection device 14, a second rejection device 15, a drying device 16, a direction alignment device 17, a second inspection device 18, a weighing device 19, a sorting and packaging device 20, a third inspection device 21, a sealing device 22, a boxing device 23, and a palletizer 24, and each device is connected via a network 101. The central monitoring device 105, which is connected to system 1 via network 101, receives various data from each device of the egg processing system 1 and displays it on the system management screen, thereby comprehensively monitoring system 1 (monitoring the operating status of each device). The printer 102, connected to system 1 via network 101, can print various documents (for example, forms, number of packages, number of boxes, processing weight, number of raw eggs, number of good products, number of defective products, good product rate, manufacturing records, etc.) in response to print commands from the central monitoring device 105 and each device. In addition, the first inspection device 13 or the second inspection device 15 may be omitted. The first inspection device 13 may also be located between the drying device 16 and the direction alignment device 17.

[0034] (Functional configuration of each device) The functions of each device are explained using Figures 1C to 1E. The conveying device 11 transports eggs from upstream to downstream, connecting each device. The conveying device 11 consists of roller conveyors, belt conveyors, and the like. The setting information input unit 1191 is a means for inputting various settings for the transport device 11 (such as an input interface like a touch panel, keyboard, or mouse, or a setting value input screen). The setting values ​​are setting values ​​specific to the device, such as various operating modes, target defect rate / output rate, packaging / transportation type settings, conveyor speed settings, various timer settings, actuators, environment / disturbances, vibration, image information, and operator movement information. Figure 1G shows an example of setting information for each device. The setting information is stored in the setting information storage unit 119. The transmission unit 118 sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The operation instruction unit 111 is composed of, for example, various switches, an operation touch panel, etc., and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operation mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and transport unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The operating mode may be low speed, medium speed, high speed, etc., or a mode corresponding to the state of the eggs or lot (the same applies hereinafter). The cleaning mode is a mode for cleaning the device (the same applies hereinafter). The maintenance mode may be a mode for maintaining the device or a mode for replacing parts (the same applies hereinafter). The emergency stop instruction unit 112 is composed of, for example, an emergency stop button, an operation touch panel, etc., and counts the number of emergency stops. The number of emergency stops and transport unit (emergency stop) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The energizing time calculation unit 113 calculates the energizing time during which current is supplied to the motor that drives the conveyor after the power is turned ON by the operation instruction unit 111. Alternatively, the energizing time calculation unit 113 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated energizing time and conveying unit (energized) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The thermometer 114 is installed in the transport device 11 and measures the temperature along with the time. The temperature data (temperature and time) and transport unit (temperature) identification information measured by the thermometer 114 are sent to the first operation management device 30 by the transmission unit 118 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with a wireless communication function is used, the temperature data and transport unit (temperature) identification information may be sent to the first operation management device 30 and stored in the first storage unit 32 by this wireless communication function. The imaging unit 1141 captures images of the raw egg supply area of ​​the conveying device 11, the conveying state, and the state of egg transfer to the downstream device. The imaging unit 1141 also captures still images and / or videos of the entire device, a part of the device, device components, operator actions, egg conveying state, conveyor state, and device operation. The imaging unit 1141 may consist of one or more CCD image sensors, CMOS image sensors, color cameras, etc. Image data (video, still images) captured by the imaging unit 1141 may be associated with conveying unit (image) identification information and sent to the first operation management device 30, and stored in the first storage unit 32. The imaging device of the raw egg counting unit 115 may also serve as the imaging unit 1141. The raw egg counting unit 115 counts the number of raw eggs being transported by the transport device 11. A load cell, various sensors, or image analysis using an imaging device may be used as the counting method. The number of raw eggs (including the time of counting) and the transport unit (counting) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The mileage calculation unit 116 calculates the mileage of the conveyor, for example, from an encoder that detects the rotational speed of the motor driving the conveyor, and means that detects the leakage magnetic field from the motor and calculates the rotational speed. It may also consist of means that mark a part of the conveyor and count these marks to calculate the mileage. The mileage (including time) and conveying unit (mileage) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The vibration detection unit 117 detects vibrations of the transport device 11. Vibration sensors are installed on the frame, motor, etc., of the transport device. The vibration data (vibration value and time) and transport device (vibration) identification information measured by the vibration detection unit 117 are sent to the first operation management device 30 by the transmission unit 118 and stored in the first storage unit 32. In another embodiment, if a vibration sensor with wireless communication functionality is used, the vibration data and transport device (vibration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32 via this wireless communication function. The transmitting unit 118 is composed of wireless communication means or wired communication means and sends the data obtained from each of the above units to the first operation management device 30.

[0035] The egg washing device 12 washes eggs. It has an upstream washing area and a downstream drying area, and includes conveyor bars for the egg washing conveyor and conveyor rollers for the drying conveyor. In the washing area, washing water and rinsing water are sprayed onto the conveyed eggs from nozzles and washed with washing brushes. In the drying area, air (air, clean air, etc.) is blown onto the conveyed eggs and water droplets are removed with drying brushes. The setting information input unit 1291 is a means for inputting various settings for the egg washing device 12. The setting values ​​are device-specific settings, such as various operating modes, conveyor speed settings, washing water / rinsing water temperature and flow rate, brush motor rotation speed, disinfectant concentration (e.g., hydrochloric acid concentration), actuators, environmental disturbances, vibration, image information, and operator movement information. Figure 1G shows an example of the setting information for each device. The setting information is stored in the setting information storage unit 129. The transmission unit 128 sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The operation instruction unit 121 is composed of, for example, various switches and an operation touch panel, and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operation mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and the egg washing unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The emergency stop instruction unit 122 is composed of, for example, an emergency stop button, an operation touch panel, etc., and counts the number of emergency stops. The number of emergency stops and the egg washing unit (emergency stop) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The power-on time calculation unit 123 calculates the power-on time during which current is supplied to the motors that drive the egg washing conveyor and drying conveyor after the power is turned ON by the operation instruction unit 121. Alternatively, the power-on time calculation unit 123 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated power-on time and egg washing unit (power-on) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The thermometer 124 is installed in the egg washing device 12 and measures the temperature along with the time. The temperature data (temperature and time) and egg washing unit (temperature) identification information measured by the thermometer 124 are sent to the first operation management device 30 by the transmission unit 128 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with a wireless communication function is used, the temperature data and egg washing unit (temperature) identification information may be sent to the first operation management device 30 and stored in the first storage unit 32 by this wireless communication function. The imaging unit 1241 captures images of the egg washing device 12, including its transport state, washing state, and the state of egg transfer to the downstream device. The imaging unit 1241 also captures still images and / or videos of the entire device, parts of the device, device components, operator actions, egg transport state, conveyor state, and device operation. The image data (video, still images) captured by the imaging unit 1241 may be associated with egg washing unit (image) identification information and sent to the first operation management device 30, where it may be stored in the first storage unit 32. The imaging device of the raw egg counting unit 125 may also function as the imaging unit 1241. The raw egg counting unit 125 counts the number of raw eggs transported by the egg washing device 12. A load cell, various sensors, or image analysis using an imaging device may be used as the counting method. The number of raw eggs (including the time of counting) and the egg washing unit (counting) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. If there is a raw egg measurement unit 115, the raw egg measurement unit 125 may be omitted. The distance calculation unit 126 calculates the distance traveled by each conveyor, for example, by using an encoder to detect the rotational speed of the motors that drive the egg washing conveyor and the drying conveyor, and means to detect the leakage magnetic field from the motor and calculate the rotational speed. It may also consist of means to mark a part of the conveyor, count these marks, and calculate the distance traveled for each conveyor. Each distance traveled (including time) and egg washing unit (distance traveled) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The vibration detection unit 127 detects vibrations of the egg washing device 12. Vibration sensors are installed on the device's frame, motor, etc. The vibration data (vibration value and time) and egg washing unit (vibration) identification information measured by the vibration detection unit 127 are sent to the first operation management device 30 by the transmission unit 128 and stored in the first storage unit 32. In another embodiment, if a vibration sensor with wireless communication functionality is used, the vibration data and egg washing unit (vibration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32 via this wireless communication function. The flow rate measurement unit 1271 measures the flow rate of the washing water and the flow rate of the rinse water. The flow rate data of the washing water (flow rate and measurement time), the flow rate data of the rinse water (flow rate data and measurement time), and the egg washing unit (flow rate) identification information measured by the flow rate measurement unit 1271 are sent to the first operation management device 30 by the transmission unit 128 and stored in the first storage unit 32. In another embodiment, if a flow sensor with wireless communication functionality is used, the flow rate data and the egg washing unit (flow rate) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The water temperature measurement unit 1272 measures the water temperature of the washing water and the water temperature of the rinse water. The temperature data of the washing water (temperature and measurement time), the temperature data of the rinse water (temperature data and measurement time), and the egg washing unit (water temperature) identification information measured by the water temperature measurement unit 1272 are sent to the first operation management device 30 by the transmission unit 128 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with wireless communication functionality is used, the temperature data and the egg washing unit (water temperature) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The brush rotation speed calculation unit 1273 calculates the brush rotation speed, for example, using an encoder that detects the rotation speed of the motor that drives the brush rotation, and means that detects the leakage magnetic field from the motor and calculates the rotation speed. In the case of a motor with a constant rotation speed, it may also be calculated from the energizing time. The rotation speed (including the time of calculation or detection) and the egg washing unit (brush rotation speed) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The chlorine concentration measuring unit 1274 measures the chlorine concentration of the washing water and the rinse water. The chlorine concentration data of the washing water (concentration and time), the chlorine concentration data of the rinse water (concentration data and time), and the egg washing unit (chlorine concentration) identification information measured by the chlorine concentration measuring unit 1274 are sent to the first operation management device 30 by the transmission unit 128 and stored in the first storage unit 32. In another embodiment, if a chlorine concentration sensor with wireless communication functionality is used, the chlorine concentration data and the egg washing unit (chlorine concentration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The transmitting unit 128 is composed of wireless communication means or wired communication means and sends the data obtained from each of the above units to the first operation management device 30.

[0036] The first inspection device 13 inspects the eggs processed by the egg washing device 12. Here, for example, it detects large stains, broken eggs, and extra-large eggs. Light sources for inspection include ultraviolet light sources, near-infrared light sources, multispectral light sources, and LED light sources. Imaging devices include color cameras and monochrome cameras. The first inspection device 13 has a processing unit 135 that analyzes the images obtained by the imaging device, distinguishes between good and defective products and outputs the results, and a display unit that displays the judgment results. The processing unit 135 counts the number of good and defective products. The number of good and defective products (including the time of counting) and the identification information of the first inspection unit (counting) are sent to the first operation management device 30 and stored in the first storage unit 32. The setting information input unit 1391 is a means for inputting various settings for the first inspection device 13. The setting values ​​are device-specific setting values, such as various operating modes, judgment levels, target defect rate / output rate, conveyor speed setting value, inspection setting value, actuator, environment / disturbance, vibration, image information, and operator movement information. Figure 1G shows an example of the setting information for each device. The setting information is stored in the setting information storage unit 139. The transmission unit 138 sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The operation instruction unit 131 is composed of, for example, various switches, an operation touch panel, etc., and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operation mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and the first inspection unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The emergency stop instruction unit 132 is composed of, for example, an emergency stop button, an operation touch panel, etc., and counts the number of emergency stops. The number of emergency stops and the first inspection unit (emergency stop) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The energizing time calculation unit 133 calculates the energizing time during which current is supplied to the motor that drives the conveyor after the power is turned ON by the operation instruction unit 131. Alternatively, the energizing time calculation unit 133 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated energizing time and the first inspection unit (energized) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The thermometer 134 is installed in the first inspection device 13 and measures the temperature along with the time. The temperature data (temperature and time) and the first inspection unit (temperature) identification information measured by the thermometer 134 are sent to the first operation management device 30 by the transmission unit 138 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with a wireless communication function is used, the temperature data and the first inspection unit (temperature) identification information may be sent to the first operation management device 30 and stored in the first storage unit 32 by this wireless communication function. The imaging unit 1341 captures images of the transport state, inspection state, and egg transfer state to the downstream device of the first inspection device 13. The imaging unit 1341 also captures still images and / or videos of the entire device, a part of the device, device components, operator actions, egg transport state, conveyor state, and device operation. The image data (video, still images) captured by the imaging unit 1341 may be associated with first inspection unit (image) identification information and sent to the first operation management device 30, and stored in the first storage unit 32. The imaging device of the processing unit 135 may also function as the imaging unit 1341. The mileage calculation unit 136 calculates the mileage of each conveyor, for example, from an encoder that detects the rotational speed of the motor driving the conveyor, and means that detects the leakage magnetic field from the motor and calculates the rotational speed. It may also consist of means that mark a part of the conveyor, count these marks and calculate the mileage for each. The mileage for each conveyor (including the time) and the identification information of the first inspection unit (mileage) are sent to the first operation management device 30 and stored in the first storage unit 32. The vibration detection unit 137 detects vibrations of the first inspection device 13. Vibration sensors are installed on the frame, motor, etc., of the device. The vibration data (vibration value and time) and first inspection device (vibration) identification information measured by the vibration detection unit 137 are sent to the first operation management device 30 by the transmission unit 138 and stored in the first storage unit 32. In another embodiment, if a vibration sensor with wireless communication functionality is used, the vibration data and first inspection device (vibration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32 via this wireless communication function. The light source energization time calculation unit 1371 calculates the energization time during which current is supplied to the light source after the power is turned ON by the operation instruction unit 131. Alternatively, the light source energization time calculation unit 1371 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated light source energization time and the first inspection unit (light source energization) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The transmitting unit 138 is composed of wireless communication means or wired communication means and sends the data obtained from each of the above units to the first operation management device 30.

[0037] The first rejection device 14 removes broken eggs that have been classified as defective eggs to be discarded by the first inspection device 13, so that they can be distinguished from other eggs (removed from the conveying device 11). Defective eggs are removed using a conveying direction sorting lever, a conveying drop belt, a suction means or a gripping means, etc. The suction means or gripping means functions as an actuator for defective eggs. The operation instruction unit (not shown) consists of, for example, various switches and an operation touch panel, and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operating mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and the first exclusion unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The setting information input unit (not shown) is a means for inputting various settings for the first elimination device 14. The setting values ​​are setting values ​​specific to the device, such as various operating modes, conveyor speed setting values, elimination setting values, actuators, environmental disturbances, vibrations, image information, and operator movement information. Figure 1G shows an example of the setting information for each device. The setting information is stored in the setting information storage unit (not shown). The transmission unit (not shown) sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The imaging unit (not shown) captures images of the raw egg supply area, transport state, rejection state, and egg transfer state to the downstream device of the first rejection device 14. The imaging unit also captures still images and / or videos of the entire device, a part of the device, device components, operator actions, egg transport state, conveyor state, and device operation. The image data (video, still images) captured by the imaging unit may be associated with first rejection unit (image) identification information and sent to the first operation management device 30, and stored in the first storage unit 32. The actuator operation count calculation unit (not shown) calculates the number of defective products (number of rejections) as the actuator operation count. The calculated actuator operation count and the first rejection unit (rejection) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The second elimination device 15 eliminates large, malformed, and extremely large eggs that have been classified as defective eggs by the first inspection device 13, so that they can be distinguished from other eggs. Defective eggs are eliminated using a conveying direction sorting lever, a conveying drop belt, suction means or gripping means, etc. The suction means or gripping means functions as an actuator for defective eggs. The operation instruction unit (not shown) consists of, for example, various switches and an operation touch panel, and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operating mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and the second exclusion unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The setting information input unit (not shown) is a means for inputting various settings for the second elimination device 15. The setting values ​​are setting values ​​specific to the device, such as various operating modes, conveyor speed setting values, elimination setting values, actuators, environmental disturbances, vibrations, image information, and operator movement information. Figure 1G shows an example of the setting information for each device. The setting information is stored in the setting information storage unit (not shown). The transmission unit (not shown) sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The imaging unit (not shown) captures images of the raw egg supply area, transport state, rejection state, and egg transfer state to the downstream device of the second rejection device 15. The imaging unit also captures still images and / or videos of the entire device, parts of the device, device components, operator actions, egg transport state, conveyor state, and device operation. The image data (video, still images) captured by the imaging unit may be associated with the identification information of the first rejection unit (image) and sent to the first operation management device 30, where it may be stored in the first storage unit 32. The actuator operation count calculation unit (not shown) calculates the number of defective products (number of rejections) as the actuator operation count. The calculated actuator operation count and the second rejection unit (rejection) identification information are sent to the first operation management device 30 and stored in the first storage unit 32.

[0038] In this embodiment, the drying device 16 is located at least downstream of the first and second elimination devices 14 and 15, and dries the eggs. The setting information input unit 1691 is a means for inputting various settings for the drying apparatus 16. The setting values ​​are setting values ​​specific to the apparatus, such as various operating modes, conveyor speed setting values, drying setting values, ventilation fan rotation speed, brush motor rotation speed, filter setting values, actuators, environmental disturbances, vibration, image information, and operator movement information. Figure 1G shows an example of the setting information for each apparatus. The setting information is stored in the setting information storage unit 169. The transmission unit 168 sends the setting information and apparatus identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The operation instruction unit 161 is composed of, for example, various switches and an operation touch panel, and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operation mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and drying unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The emergency stop instruction unit 162 is composed of, for example, an emergency stop button, an operation touch panel, etc., and counts the number of emergency stops. The number of emergency stops and drying unit (emergency stop) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The energizing time calculation unit 163 calculates the energizing time during which current is supplied to the motor that drives the conveyor after the power is turned ON by the operation instruction unit 161. Alternatively, the energizing time calculation unit 163 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated energizing time and drying unit (energized) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. A thermometer 164 is installed in the drying apparatus 16 and measures the temperature along with the time. The temperature data (temperature and time) and drying section (temperature) identification information measured by the thermometer 164 are sent to the first operation management device 30 by the transmission unit 168 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with a wireless communication function is used, the temperature data and drying section (temperature) identification information may be sent to the first operation management device 30 and stored in the first storage unit 32 by this wireless communication function. The imaging unit 1641 captures images of the transport state, drying state, etc. of the drying apparatus 16. The imaging unit 1641 also captures still images and / or videos of the entire apparatus, parts of the apparatus, components of the apparatus, operator actions, egg transport state, conveyor state, apparatus operation, etc. The image data (video, still images) captured by the imaging unit 1641 may be associated with drying unit (image) identification information and sent to the first operation management device 30, and stored in the first storage unit 32. The mileage calculation unit 166 calculates the mileage of each conveyor, for example, from an encoder that detects the rotational speed of the motor driving the conveyor, and means that detects the leakage magnetic field from the motor and calculates the rotational speed. It may also consist of means that mark a part of the conveyor, count these marks, and calculate the mileage for each. The mileage for each (including time) and the drying section (mileage) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The vibration detection unit 167 detects vibrations of the drying apparatus 16. Vibration sensors are installed on the frame, motor, etc., of the apparatus. The vibration data (vibration value and time) and drying apparatus (vibration) identification information measured by the vibration detection unit 167 are sent to the first operation management device 30 by the transmission unit 168 and stored in the first storage unit 32. In another embodiment, if a vibration sensor with wireless communication functionality is used, the vibration data and drying apparatus (vibration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32 via this wireless communication function. The pressure loss detection unit 1671 detects the pressure difference between the primary and secondary sides of the filter installed in the drying apparatus 16. The detected pressure loss data (including time) and drying section (pressure loss) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The fan speed calculation unit 1672 calculates the fan speed, for example, using an encoder that detects the rotational speed of the motor that drives the fan, and means that detects the leakage magnetic field from the motor and calculates the rotational speed. In the case of a motor with a constant rotational speed, it may also be calculated from the energizing time. The rotational speed (including the time of calculation or detection) and drying unit (fan speed) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The brush rotation speed calculation unit 1673 calculates the brush rotation speed, for example, using an encoder that detects the rotation speed of the motor that drives the brush rotation, and means that detects the leakage magnetic field from the motor and calculates the rotation speed. In the case of a motor with a constant rotation speed, it may also be calculated from the energizing time. The rotation speed (including the time of calculation or detection) and drying unit (brush rotation speed) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The transmitting unit 168 is composed of wireless communication means or wired communication means and sends the data obtained from each of the above units to the first operation management device 30.

[0039] The orientation alignment device 17 is located downstream of the drying device 16 and aligns the direction of the blunt or sharp ends. In this embodiment, the orientation alignment device 17 is equipped with an ultraviolet sterilization device. The ultraviolet sterilization device irradiates the eggs in the transport state with ultraviolet light to sterilize the surface of the eggshells. The ultraviolet sterilization device may be incorporated into other devices (for example, a sorting and packaging device, a transport device, a drying device, etc.). The setting information input unit 1791 is a means for inputting various settings for the direction alignment device 17. The setting values ​​are device-specific setting values, such as various operating modes, conveyor speed setting values, ultraviolet sterilization device setting values ​​(e.g., upper limit of lighting time, rated life of sterilization lamp, replacement date and time), actuators, environmental disturbances, vibration, image information, and operator movement information. Figure 1G shows an example of the setting information for each device. The setting information is stored in the setting information storage unit 179. The transmission unit 178 sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The operation instruction unit 171 consists of, for example, a power switch, an operation touch panel, etc., and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operation mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and the alignment unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The emergency stop instruction unit 172 consists of, for example, an emergency stop button, an operation touch panel, etc., and counts the number of emergency stops. The number of emergency stops and the alignment unit (emergency stop) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The energizing time calculation unit 173 calculates the energizing time during which current is supplied to the motor that drives the conveyor after the power is turned ON by the operation instruction unit 171. Alternatively, the energizing time calculation unit 173 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated energizing time and alignment unit (energized) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The thermometer 174 is installed in the direction alignment device 17 and measures the temperature along with the time. The temperature data (temperature and time) and drying section (temperature) identification information measured by the thermometer 174 are sent to the first operation management device 30 by the transmission unit 178 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with a wireless communication function is used, the temperature data and alignment section (temperature) identification information may be sent to the first operation management device 30 and stored in the first storage unit 32 by this wireless communication function. The imaging unit 1741 captures images of the transport state, the direction alignment state, and the state of egg transfer to the downstream device of the direction alignment device 17. The imaging unit 1741 also captures still images and / or videos of the entire device, parts of the device, device components, operator actions, egg transport state, conveyor state, and device operation. The image data (video, still images) captured by the imaging unit 1741 may be associated with drying unit (image) identification information and sent to the first operation management device 30, where it may be stored in the first storage unit 32. The mileage calculation unit 176 calculates the mileage of the conveyor, for example, from an encoder that detects the rotational speed of the motor driving the conveyor, and means that detects the leakage magnetic field from the motor and calculates the rotational speed. It may also consist of means that mark a part of the conveyor, count these marks and calculate the mileage for each section. Each mileage (including time) and alignment section (mileage) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The vibration detection unit 177 detects vibrations of the direction alignment device 17. Vibration sensors are installed on the device's frame, motor, etc. The vibration data (vibration value and time) and alignment unit (vibration) identification information measured by the vibration detection unit 177 are sent to the first operation management device 30 by the transmission unit 178 and stored in the first storage unit 32. In another embodiment, if the vibration sensor has a wireless communication function, the vibration data and alignment unit (vibration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32 by this wireless communication function. The actuator operation count calculation unit 1771 calculates the number of operations of an actuator (for example, an air cylinder). The number of air supply operations and the number of actuator operation instructions may also be counted. The calculated actuator operation count and alignment unit (actuator) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The transmitting unit 178 is composed of wireless communication means or wired communication means and sends the data obtained from each of the above units to the first operation management device 30.

[0040] The second inspection device 18 detects defective eggs (small, dirty eggs). Light sources for inspection include ultraviolet light sources, near-infrared light sources, multispectral light sources, and LED light sources. Imaging devices include color cameras and monochrome cameras. The second inspection device 18 has a processing unit 185 that analyzes images obtained from the imaging device to distinguish between good eggs and defective eggs (small, dirty eggs) and outputs the results, as well as a display unit that shows the judgment results. The processing unit 185 counts the number of good eggs and defective eggs. The number of good eggs and defective eggs (including the time of counting) and the identification information of the second inspection unit (counting) are sent to the first operation management device 30 and stored in the first storage unit 32. The setting information input unit 1891 is a means for inputting various settings for the second inspection device 18. The setting values ​​are device-specific setting values, such as various operating modes, target defect rate / output rate, conveyor speed setting value, inspection setting value, judgment level, actuator, environment / disturbance, vibration, image information, and operator movement information. Figure 1G shows an example of the setting information for each device. The setting information is stored in the setting information storage unit 189. The transmission unit 188 sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The operation instruction unit 181 is composed of, for example, various switches, an operation touch panel, etc., and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operation mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and the second inspection unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The emergency stop instruction unit 182 is composed of, for example, an emergency stop button, an operation touch panel, etc., and counts the number of emergency stops. The number of emergency stops and the second inspection unit (emergency stop) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The energizing time calculation unit 183 calculates the energizing time during which current is supplied to the motor that drives the conveyor after the power is turned ON by the operation instruction unit 181. Alternatively, the energizing time calculation unit 183 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated energizing time and the second inspection unit (energized) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The thermometer 184 is installed in the second inspection device 18 and measures the temperature along with the time. The temperature data (temperature and time) and the identification information of the second inspection unit (temperature) measured by the thermometer 184 are sent to the first operation management device 30 by the transmission unit 188 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with a wireless communication function is used, the temperature data and the identification information of the second inspection unit (temperature) may be sent to the first operation management device 30 and stored in the first storage unit 32 by this wireless communication function. The imaging unit 1841 captures images of the transport state, inspection state, and egg transfer state to the downstream device of the second inspection device 18. The imaging unit 1841 also captures still images and / or videos of the entire device, a part of the device, device components, operator actions, egg transport state, conveyor state, and device operation. The image data (video, still images) captured by the imaging unit 1841 may be associated with second inspection unit (image) identification information and sent to the first operation management device 30, where it may be stored in the first storage unit 32. The imaging device of the processing unit 185 may also function as the imaging unit 1841. The mileage calculation unit 186 calculates the mileage of the conveyor, for example, from an encoder that detects the rotational speed of the motor driving the conveyor, and means that detects the leakage magnetic field from the motor and calculates the rotational speed. It may also consist of means that mark a part of the conveyor, count these marks, and calculate the mileage for each section. Each mileage (including time) and the second inspection unit (mileage) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The vibration detection unit 187 detects vibrations of the second inspection device 18. Vibration sensors are installed on the frame, motor, etc., of the device. The vibration data (vibration value and time) and second inspection device (vibration) identification information measured by the vibration detection unit 187 are sent to the first operation management device 30 by the transmission unit 188 and stored in the first storage unit 32. In another embodiment, if a vibration sensor with wireless communication functionality is used, the vibration data and second inspection device (vibration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32 via this wireless communication function. The light source energization time calculation unit 1871 calculates the energization time during which current is supplied to the light source after the power is turned ON by the operation instruction unit 181. Alternatively, the light source energization time calculation unit 1871 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated light source energization time and the second inspection unit (light source energization) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The transmitting unit 188 is composed of wireless communication means or wired communication means and sends the data obtained from each of the above units to the first operation management device 30.

[0041] The second inspection device 18 may also include a crack detection device that detects cracked eggs from the sound produced when the eggs are struck. Cracked eggs detected by the crack detection device are removed by the third elimination unit.

[0042] The third exclusion unit (not shown) excludes defective eggs detected by the second inspection device 18 so that they can be distinguished from normal eggs. The third exclusion unit is part of the sorting and packaging device 20 and removes defective eggs (small dirty eggs) by transferring them to a tray using suction means, gripping means, or release means. The suction means, gripping means, or release means function as actuators for defective eggs. The first to third exclusion units have imaging units that capture still images and / or moving images of the entire device, parts of the device, components of the device, operator actions, egg transport status, conveyor status, device operation, etc.

[0043] The weighing device 19 is located downstream of the second inspection device 18 and weighs the eggs in a multi-row (e.g., 6-row) conveying state. The setting information input unit 1991 is a means for inputting various settings for the weighing device 19. The setting values ​​are setting values ​​specific to the device, such as various operating modes, conveyor speed setting values, weighing setting values, actuators, environmental disturbances, vibrations, image information, and operator movement information. Figure 1G shows an example of setting information for each device. The setting information is stored in the setting information storage unit 199. The transmission unit 198 sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The operation instruction unit 191 is composed of, for example, various switches, an operation touch panel, etc., and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operating mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and the metering unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The emergency stop instruction unit 192 is composed of, for example, an emergency stop button, an operation touch panel, etc., and counts the number of emergency stops. The number of emergency stops and the metering unit (emergency stop) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The energizing time calculation unit 193 calculates the energizing time during which current is supplied to the motor that drives the conveyor after the power is turned ON by the operation instruction unit 191. Alternatively, the energizing time calculation unit 193 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated energizing time and the measuring unit (energization) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The thermometer 194 is installed in the measuring device 19 and measures the temperature along with the time. The temperature data (temperature and time) and measuring unit (temperature) identification information measured by the thermometer 194 are sent to the first operation management device 30 by the transmission unit 198 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with a wireless communication function is used, the temperature data and measuring unit (temperature) identification information may be sent to the first operation management device 30 and stored in the first storage unit 32 by this wireless communication function. The imaging unit 1941 captures images of the transport state, weighing state, and egg transfer state to the downstream device of the weighing device 19. The imaging unit 1941 also captures still images and / or videos of the entire device, a part of the device, device components, operator actions, egg transport state, conveyor state, and device operation. The image data (video, still images) captured by the imaging unit 1941 may be associated with weighing unit (image) identification information and sent to the first operation management device 30, where it may be stored in the first storage unit 32. The imaging device of the egg counting unit 195 may also serve as the imaging unit 1941. When the downstream device of the weighing device 19 stops due to an abnormality on the conveyor belt (such as the detection of an extremely large egg that cannot be processed, or an egg that has overflowed the conveyor tray due to poor posture), the stored image data of the corresponding egg may be read and displayed. Furthermore, the normal conveying state, weighing state, and handover state to the downstream device may be compared and analyzed, and the cause of the abnormality and countermeasures may be output. In addition, if it is analyzed that the frequency of stops due to extremely large eggs is high, and there is a first inspection device and a second rejection device upstream that are capable of detecting and discarding extremely large eggs, the system may output prompts for checking the operating status of these devices or changing their settings, and the settings of these devices may be automatically changed within a predetermined acceptable range. The egg counting unit 195 counts the number of eggs. A load cell, various sensors, or image analysis using an imaging device may be used as the counting method. The number of eggs (including the time of counting) and the counting unit identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The mileage calculation unit 196 calculates the mileage of the conveyor, for example, from an encoder that detects the rotational speed of the motor driving the conveyor, and means that detects the leakage magnetic field from the motor and calculates the rotational speed. It may also consist of means that mark a part of the conveyor and count these marks to calculate the mileage. The mileage (including time) and the metering unit (mileage) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The vibration detection unit 197 detects vibrations of the weighing device 19. Vibration sensors are installed on the frame, motor, etc., of the device. The vibration data (vibration value and time) and weighing device (vibration) identification information measured by the vibration detection unit 197 are sent to the first operation management device 30 by the transmission unit 198 and stored in the first storage unit 32. In another embodiment, if a vibration sensor with wireless communication functionality is used, the vibration data and weighing device (vibration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32 via this wireless communication function. The transmitting unit 198 is composed of wireless communication means or wired communication means and sends the data obtained from each of the above units to the first operation management device 30.

[0044] The sorting and packaging device 20 sorts the eggs according to the weight measured by the weighing device 19 and places the sorted eggs into containers corresponding to the eggs (various containers for holding eggs such as MS, M, L, LL, etc.). In this embodiment, the sorting and packaging device 20 is composed of a device that packs and packages the eggs into egg containers (transparent egg cartons). Eggs weighed by the weighing device 19 are transferred from multi-lane conveying to single-lane conveying. A transfer device (not shown) is provided to transfer eggs being conveyed in multi-lane (e.g., 6 lanes) to single-lane conveying. In single-lane conveying, the eggs are conveyed so that the upper end is blunt and the lower end is sharp. A fourth inspection device may be provided to inspect the eggs in single-lane conveying state (conveyor conveyor). Examples of this fourth inspection device include an abnormal egg inspection device that inspects for abnormalities in the egg portion (blood eggs, spoilage, etc.) by spectroscopic analysis, and an end inspection device that inspects for abnormalities at the ends of the eggs. The setting information input unit 2091 is a means for inputting various settings for the sorting and packaging device 20. The setting values ​​are device-specific settings, such as various operating modes, size classifications, distribution settings, packaging / transportation type settings, conveyor speed settings, weighing settings, actuators, environmental / disturbance settings, vibration settings, image information, and operator movement information. Figure 1G shows an example of the setting information for each device. The setting information is stored in the setting information storage unit 209. The transmission unit 208 sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The operation instruction unit 201 is composed of, for example, various switches and an operation touch panel, and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operating mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and packaging unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The emergency stop instruction unit 202 consists of, for example, an emergency stop button, an operation touch panel, etc., and counts the number of emergency stops. The number of emergency stops and the packaging unit (emergency stop) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The energizing time calculation unit 203 calculates the energizing time during which current is supplied to the motor that drives the conveyor after the power is turned ON by the operation instruction unit 201. Alternatively, the energizing time calculation unit 203 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated energizing time and packaging unit (energized) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The thermometer 204 is installed in the sorting and packaging device 20 and measures the temperature along with the time. The temperature data (temperature and time) and packaging section (temperature) identification information measured by the thermometer 204 are sent to the first operation management device 30 by the transmission unit 208 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with wireless communication functionality is used, the temperature data and packaging section (temperature) identification information may be sent to the first operation management device 30 and stored in the first storage unit 32 via this wireless communication function. The imaging unit 2041 captures images of the transport state, packaging state, etc. of the sorting and packaging device 20. The imaging unit 2041 also captures still images and / or videos of the entire device, parts of the device, device components, operator actions, egg transport state, filling unit state, main conveyor state, terminal conveyor state, device operation, etc. The image data (video, still images) captured by the imaging unit 2041 may be associated with weighing unit (image) identification information and sent to the first operation management device 30, and stored in the first storage unit 32. The imaging device of the packaging counting unit 205 may also serve as the imaging unit 2041. Based on setting information such as size classification, distribution settings, and packaging / transportation type settings, as well as image analysis of image data from the packaging section, the system may detect abnormalities such as incorrect container type, misaligned containers, incorrect egg placement, missing eggs, spilled eggs, and soiled packaging, and output an alarm. Depending on the situation, the entire sorting and packaging device may be stopped, or the distribution of eggs to the relevant packaging section may be stopped, and the eggs may be redistributed to other packaging sections before continuing operation of the sorting and packaging device. The packaging counting unit 205 counts the total number of eggs filled in each container and the number of each container (various containers that hold eggs of MS, M, L, LL, etc.). A load cell, various sensors, or image analysis using an imaging device may be used as the counting method. The total number of eggs, the number of each container (including the time of counting), and the counting unit identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The distance calculation unit 206 calculates the distance traveled by each conveyor, for example, by using an encoder to detect the rotational speed of the motor driving each conveyor, and means to detect the leakage magnetic field from the motor and calculate the rotational speed. It may also consist of means to mark a part of the conveyor, count these marks, and calculate the distance traveled. Each distance traveled (including time) and packaging section (distance traveled) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The vibration detection unit 207 detects vibrations of the sorting and packaging device 20. Vibration sensors are installed on the device's frame, motor, etc. The vibration data (vibration value and time) and packaging unit (vibration) identification information measured by the vibration detection unit 207 are sent to the first operation management device 30 by the transmission unit 208 and stored in the first storage unit 32. In another embodiment, if a vibration sensor with wireless communication functionality is used, the vibration data and packaging unit (vibration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32 via this wireless communication function. The actuator operation count calculation unit 2071 calculates the number of operations of the actuator (e.g., suction means, air cylinder). The number of air supply operations and the number of actuator operation instructions may also be counted. The calculated actuator operation count and packaging unit (actuator) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The transmitting unit 208 is composed of wireless communication means or wired communication means and sends the data obtained from each of the above units to the first operation management device 30.

[0045] The third inspection device 21 inspects the eggs contained in the egg cartons while they are not sealed. After inspection, the cartons are sent to the sealing device 22, which seals the lids. Abnormal eggs may be removed from the container by adsorption means, and normal eggs may be placed in their place by adsorption means (actuators). Egg cartons containing abnormal eggs may be removed from the line that sends them to the sealing device 22. The setting information input unit 2191 is a means for inputting various settings for the third inspection device 21. The setting values ​​are device-specific setting values, such as various operating modes, target defect rate / output rate, conveyor speed setting value, inspection setting value, actuator, environment / disturbance, vibration, image information, and operator movement information. Figure 1G shows an example of the setting information for each device. The setting information is stored in the setting information storage unit 219. The transmission unit 218 sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). Light sources for inspection include ultraviolet light sources, near-infrared light sources, multispectral light sources, and LED light sources. Imaging devices include color cameras and monochrome cameras. The third inspection device 21 has a processing unit 215 that analyzes the images obtained by the imaging device, distinguishes between good products and defective products (small dirty eggs), and outputs the results, and a display unit that displays the judgment results. The processing unit 215 counts the number of good products and the number of defective products. The number of good products and the number of defective products (including the time of counting) and the identification information of the third inspection unit (counting) are sent to the first operation management device 30 and stored in the first storage unit 32. The operation instruction unit 211 is composed of, for example, various switches and an operation touch panel, and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operating mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and the third inspection unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The emergency stop instruction unit 212 consists of, for example, an emergency stop button, an operation touch panel, etc., and counts the number of emergency stops. The number of emergency stops and the third inspection unit (emergency stop) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The energizing time calculation unit 213 calculates the energizing time during which current is supplied to the motor that drives the conveyor after the power is turned ON by the operation instruction unit 211. Alternatively, the energizing time calculation unit 213 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated energizing time and the third inspection unit (energized) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The thermometer 214 is installed in the third inspection device 21 and measures the temperature along with the time. The temperature data (temperature and time) and third inspection unit (temperature) identification information measured by the thermometer 214 are sent to the first operation management device 30 by the transmission unit 218 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with a wireless communication function is used, the temperature data and third inspection unit (temperature) identification information may be sent to the first operation management device 30 and stored in the first storage unit 32 by this wireless communication function. The imaging unit 2141 captures images of the transport state, inspection state, etc. of the third inspection device 21. The imaging unit 2141 also captures still images and / or videos of the entire device, parts of the device, device components, operator actions, container transport state, filling state, conveyor state, device operation, etc. The image data (video, still images) captured by the imaging unit 2141 may be associated with third inspection unit (image) identification information and sent to the first operation management device 30, and stored in the first storage unit 32. The imaging device of the processing unit 215 may also serve as the imaging unit 2141. The mileage calculation unit 216 calculates the mileage of the conveyor, for example, from an encoder that detects the rotational speed of the motor driving the conveyor, and means that detects the leakage magnetic field from the motor and calculates the rotational speed. It may also consist of means that mark a part of the conveyor, count these marks and calculate the mileage for each. Each mileage (including time) and the third inspection unit (mileage) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The vibration detection unit 217 detects vibrations of the third inspection device 21. Vibration sensors are installed on the frame, motor, etc., of the device. The vibration data (vibration value and time) and third inspection device (vibration) identification information measured by the vibration detection unit 217 are sent to the first operation management device 30 by the transmission unit 218 and stored in the first storage unit 32. In another embodiment, if a vibration sensor with wireless communication functionality is used, the vibration data and third inspection device (vibration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32 via this wireless communication function. The light source energization time calculation unit 2171 calculates the energization time during which current is supplied to the light source after the power is turned ON by the operation instruction unit 211. Alternatively, the light source energization time calculation unit 2171 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated light source energization time and the third inspection unit (light source energization) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The actuator operation count calculation unit 2172 calculates the number of operations of the actuator (e.g., suction means, air cylinder). The number of air supply operations and the number of actuator operation instructions may also be counted. The calculated actuator operation count and the third inspection unit (actuator) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The transmitting unit 218 is composed of wireless communication means or wired communication means and sends the data obtained from each of the above units to the first operation management device 30.

[0046] The sealing device 22 seals the lid of the container holding the eggs. If the container is made of plastic, it is sealed using high-frequency welding, ultrasonic welding, adhesive tape, hot melt, etc. If the container is made of paper (molded pack), the sealing device 22 may be configured to include an automatic lid closing machine. The automatic lid closing machine has a mechanism that closes the lid by fitting a protrusion on an extended portion that extends from the side portion on the side where the eggs are placed into the opening on the lid side. The setting information input unit 2291 is a means for inputting various settings for the sealing device 22. The setting values ​​are device-specific settings, such as various operating modes, target defect rate / output rate, conveyor speed setting value, sealing setting value, actuator, environment / disturbance, vibration, image information, and operator movement information. Figure 1G shows an example of the setting information for each device. The setting information is stored in the setting information storage unit 229. The transmission unit 228 sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The operation instruction unit 221 is composed of, for example, various switches and an operation touch panel, and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operating mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and the sealing unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The emergency stop instruction unit 222 is composed of, for example, an emergency stop button, an operation touch panel, etc., and counts the number of emergency stops. The number of emergency stops and the sealing unit (emergency stop) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The energizing time calculation unit 223 calculates the energizing time during which current is supplied to the motor that drives the conveyor after the power is turned ON by the operation instruction unit 221. Alternatively, the energizing time calculation unit 223 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated energizing time and the sealing unit (energized) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The thermometer 224 is installed in the sealing device 22 and measures the temperature along with the time. The temperature data (temperature and time) and sealing part (temperature) identification information measured by the thermometer 224 are sent to the first operation management device 30 by the transmission unit 228 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with a wireless communication function is used, the temperature data and sealing part (temperature) identification information may be sent to the first operation management device 30 and stored in the first storage unit 32 by this wireless communication function. The imaging unit 2241 captures images of the transport state and sealing state of the sealing device 22. The imaging unit 2241 also captures still images and / or videos of the entire device, parts of the device, device components, operator actions, conveyor state, and device operation. The image data (video, still images) captured by the imaging unit 2241 may be associated with sealing unit (image) identification information and sent to the first operation management device 30, where it may be stored in the first storage unit 32. The imaging device of the sealing counting unit 225 may also function as the imaging unit 2241. The lid counting unit 225 counts the number of sealed containers. A load cell, various sensors, or image analysis using an imaging device may be used as the counting method. The number of containers (including the time of counting) and the lid (counting) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The mileage calculation unit 226 calculates the mileage of the conveyor, for example, from an encoder that detects the rotational speed of the motor driving the conveyor, and means that detects the leakage magnetic field from the motor and calculates the rotational speed. It may also consist of means that mark a part of the conveyor and count these marks to calculate the mileage. The mileage (including time) and the identification information of the sealed section (mileage) are sent to the first operation management device 30 and stored in the first storage unit 32. The vibration detection unit 227 detects vibrations of the sealing device 22. Vibration sensors are installed on the frame or motor of the device. The vibration data (vibration value and time) and sealing device (vibration) identification information measured by the vibration detection unit 227 are sent to the first operation management device 30 by the transmission unit 228 and stored in the first storage unit 32. In another embodiment, if a vibration sensor with wireless communication functionality is used, the vibration data and sealing device (vibration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32 via this wireless communication function. The actuator operation count calculation unit 2271 calculates the number of operations of the actuator (e.g., lid means, air cylinder). The number of air supply operations and the number of actuator operation instructions may also be counted. The calculated actuator operation count and sealing lid (actuator) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The transmitting unit 228 is composed of wireless communication means or wired communication means and sends the data obtained from each of the above units to the first operation management device 30. Further downstream from the sealing device 22, an inspection device (post-sealing inspection device) may be placed. The sealed egg cartons are placed into boxes by the boxing device 23 and sent as products to the palletizer 24.

[0047] The boxing device 23 packs sealed product containers into boxes. The boxing device 23 includes a conveyor roller, an automatic box assembly unit, and a multi-axis robot. The multi-axis robot has a suction unit that picks up containers and loads them into boxes. Once a predetermined number of boxes have been loaded, they are sealed. The setting information input unit 2391 is a means for inputting various settings for the boxing device 23. The setting values ​​are settings specific to the device, such as various operating modes, packaging / transportation type settings, conveyor speed settings, stacking pattern settings, actuators, environment / disturbances, vibration, image information, and operator movement information. Figure 1G shows an example of the setting information for each device. The setting information is stored in the setting information storage unit 239. The transmission unit 238 sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The operation instruction unit 231 is composed of, for example, various switches and an operation touch panel, and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operating mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and the packing unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The emergency stop instruction unit 232 is composed of, for example, an emergency stop button, an operation touch panel, etc., and counts the number of emergency stops. The number of emergency stops and the boxing unit (emergency stop) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The power-on time calculation unit 233 calculates the power-on time during which current is supplied to the motor that drives the conveyor after the power is turned ON by the operation instruction unit 231. Alternatively, the power-on time calculation unit 233 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated power-on time and the boxing unit (power-on) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The thermometer 234 is installed in the boxing device 23 and measures the temperature along with the time. The temperature data (temperature and time) and sealing part (temperature) identification information measured by the thermometer 234 are sent to the first operation management device 30 by the transmission unit 238 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with a wireless communication function is used, the temperature data and boxing part (temperature) identification information may be sent to the first operation management device 30 and stored in the first storage unit 32 by this wireless communication function. The imaging unit 2341 captures images of the transport state, sealing state, etc., of the box packing device 23. The imaging unit 2341 also captures still images and / or videos of the entire device, parts of the device, components of the device, operator actions, conveyor status, device operation, etc. The image data (video, still images) captured by the imaging unit 2341 may be associated with box packing unit (image) identification information and sent to the first operation management device 30, and stored in the first storage unit 32. The imaging device of the box packing counting unit 235 may also serve as the imaging unit 2341. The box-packing counting unit 235 counts the number of sealed boxes. A load cell, various sensors, or image analysis using an imaging device may be used as the counting method. The number of boxes (including the time of counting) and the box-packing unit (counting) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The mileage calculation unit 236 calculates the mileage of the conveyor, for example, from an encoder that detects the rotational speed of the motor driving the conveyor, and means that detects the leakage magnetic field from the motor and calculates the rotational speed. It may also consist of means that mark a part of the conveyor and count these marks to calculate the mileage. The mileage (including time) and packing section (mileage) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The vibration detection unit 237 detects vibrations of the boxing device 23. Vibration sensors are installed on the frame, motor, etc., of the device. The vibration data (vibration value and time) and boxing unit (vibration) identification information measured by the vibration detection unit 237 are sent to the first operation management device 30 by the transmission unit 238 and stored in the first storage unit 32. In another embodiment, if a vibration sensor with wireless communication functionality is used, the vibration data and boxing unit (vibration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32 via this wireless communication function. The actuator operation count calculation unit 2371 calculates the number of operations of the actuators (e.g., hydraulic cylinders, air cylinders, suction units, box forming units, and sealing units). The number of air supply operations and the number of actuator operation instructions may also be counted. The calculated actuator operation count and boxing unit (actuator) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The transmitting unit 238 is composed of wireless communication means or wired communication means and sends the data obtained from each of the above units to the first operation management device 30.

[0048] The Palletizer 24 stacks sealed boxes onto pallets. The setting information input unit 2491 is a means for inputting various settings for the palletizer 24. The setting values ​​are device-specific settings, such as various operating modes, packaging / transportation type settings, conveyor speed settings, stacking pattern settings, actuators, environment / disturbances, vibration, image information, and operator movement information. Figure 1G shows an example of the setting information for each device. The setting information is stored in the setting information storage unit 249. The transmission unit 248 sends the setting information and device identification information to the first operation management device 30, where it is stored in the first storage unit 32 (setting information storage unit 320). The operation instruction unit 241 is composed of, for example, various switches and an operation touch panel, and counts the number of operation instructions, such as the number of times the power is turned ON and OFF, the number of times the operation mode is instructed, the number of times the cleaning mode is instructed, the number of times the maintenance mode is instructed, and the number of times various settings are changed. The number of operation instructions is stored in memory (not shown). In addition, the number of operation instructions (including time data) and the palletizer unit (operation) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The emergency stop instruction unit 242 is composed of, for example, an emergency stop button, an operation touch panel, etc., and counts the number of emergency stops. The number of emergency stops and palletizer (emergency stop) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The energizing time calculation unit 243 calculates the energizing time during which current is supplied to the motor that drives the conveyor after the power is turned ON by the operation instruction unit 241. Alternatively, the energizing time calculation unit 243 may calculate the time from the difference between the time the power is turned ON and the time it is turned OFF. The calculated energizing time and palletizer (energized) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The thermometer 244 is installed on the palletizer 24 and measures the temperature along with the time. The temperature data (temperature and time) and palletizer (temperature) identification information measured by the thermometer 244 are sent to the first operation management device 30 by the transmission unit 248 and stored in the first storage unit 32. In another embodiment, if a temperature sensor with a wireless communication function is used, the temperature data and palletizer (temperature) identification information may be sent to the first operation management device 30 and stored in the first storage unit 32 by this wireless communication function. The imaging unit 2441 captures images of the stacking state of the palletizer 24 on the pallet, etc. The imaging unit 2441 also captures still images and / or videos of the entire device, parts of the device, components of the device, operator actions, device operations, etc. The image data (video, still images) captured by the imaging unit 2441 may be associated with palletizer unit (image) identification information and sent to the first operation management device 30, and stored in the first storage unit 32. The imaging device of the pallet counting unit 245 may also serve as the imaging unit 2441. The pallet counting unit 245 counts the number of pallets on which boxes are stacked. A load cell, various sensors, or image analysis using an imaging device may be used as the counting method. The number of pallets (including the time of counting) and palletizer (counting) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The mileage calculation unit 246 calculates the mileage of the conveyor, for example, from an encoder that detects the rotational speed of the motor driving the conveyor, and means that detects the leakage magnetic field from the motor and calculates the rotational speed. It may also consist of means that mark a part of the conveyor and count these marks to calculate the mileage. The mileage (including time) and palletizer (mileage) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The vibration detection unit 247 detects vibrations of the palletizer 24. Vibration sensors are installed on the frame, motor, etc. The vibration data (vibration value and time) and palletizer (vibration) identification information measured by the vibration detection unit 247 are sent to the first operation management device 30 by the transmission unit 248 and stored in the first storage unit 32. In another embodiment, if a vibration sensor with wireless communication functionality is used, the vibration data and palletizer (vibration) identification information are sent to the first operation management device 30 and stored in the first storage unit 32 via this wireless communication function. The actuator operation count calculation unit 2471 calculates the number of operations of an actuator (e.g., a hydraulic cylinder, an air cylinder). The number of air supply operations and the number of actuator operation instructions may also be counted. The calculated actuator operation count and palletizer (actuator) identification information are sent to the first operation management device 30 and stored in the first storage unit 32. The transmitting unit 248 is composed of wireless communication means or wired communication means and sends the data obtained from each of the above units to the first operation management device 30.

[0049] (Embodiment 1: Operation Management Device) Figure 2A shows the functions of the first operation management device 30, the second operation management device 50, and the third operation management device 60. In Figure 2A, the first operation management device 30 performs various analysis processes and sends the results to the second and third operation management devices. The first receiving unit 31 receives operational information and identification information from each device for use in analysis processing. An example of operational information is shown in Figure 1F. The first receiving unit 31 also receives setting information and identification information from each device for use in analysis processing, verification, and remote control. Setting information is set and stored in each device and sent from each device to each management device at the time the device starts up, when the setting value is changed, etc. An example of setting information is shown in Figure 1G. The first storage unit 32 stores received operation information, setting information, and identification information. The first setting information storage unit 320 stores setting information and identification information. The first transmission unit 311 may transmit operation information, configuration information, and identification information to the second operation management device 50 and / or the third operation management device 60 via the networks 101, 501, and 601. Figure 1I shows an example of the operation information, configuration information, and identification information that are received and stored (accumulated). The third device manufacturing information storage unit 620 of the third operation management device 60 stores manufacturing information for the i-th device. The third operation management device 60 includes an acquisition unit (for example, an input unit, a receiving unit, and a reading unit), the acquisition unit acquires the device manufacturing information and stores it in the third device manufacturing information storage unit 620. Figure 1H shows an example of device manufacturing information. The third transmission unit 611 transmits the device manufacturing information to the first operation management device 30 and the second operation management device 50 via the networks 101, 501, and 601, and the information is stored in the first and second device manufacturing information storage units 320 and 520.

[0050] The first operating rate reduction factor analysis unit 35 calculates the operating rate (operating rate for each i-th device for a predetermined period) from one or more types of operating information (operating information for each i-th device), analyzes the factors causing the operating rate reduction in the i-th device whose operating rate is lower than the operating rate threshold, and outputs operating rate reduction factor information (including analysis results and countermeasures). The first operating rate reduction factor information storage unit 321 stores the operating rate reduction factor information. The first future operation estimation unit 351 estimates and outputs future operating conditions by inputting operating conditions and setting information into a future operation estimation learning model created by intelligent information technology using training data that includes one or more types of setting information and one or more types of operating information from past normal and abnormal conditions. The first storage unit 321 stores the data on future operating conditions. The first future operation image estimation unit 352 estimates and outputs future operation status by inputting the image information of the i-th device or its components, the image information of eggs in transport, and / or the image information for monitoring the operator and the i-th device into a future operation image estimation learning model created by intelligent information technology using training data that includes image information of the i-th device or its components, image information of eggs in transport, and / or the image information for monitoring the operator and the i-th device during past normal and abnormal conditions. The first storage unit 321 stores the data on future operation status. The first work efficiency information analysis unit 36 ​​analyzes one or more types of past operational information and one or more types of setting information for those past operational information, and outputs work efficiency information, which is the work efficiency of each device or all devices. The first work efficiency information storage unit 322 stores the work efficiency information. The first downtime aggregation unit 371 aggregates downtime from one or more types of operational information. The first stop cause analysis unit 372 analyzes the stop cause from one or more types of operational information (and one or more types of setting information) and outputs the stop cause information. The first abnormal occurrence cause analysis unit 373 analyzes the cause of the abnormal occurrence from one or more types of operational information (and one or more types of setting information) and outputs the abnormal occurrence cause information. The first stop / abnormal cause storage unit 323 stores the stop time, stop cause, and abnormal occurrence cause. The first state change analysis unit 381 analyzes state changes from one or more types of operational information and outputs state change information (including the time when the state change occurred). The first state conversion storage unit 324 stores at least the state change information. The first raw egg quality analysis unit 382 analyzes one or more types of raw egg information and one or more types of operational information, and outputs raw egg quality information, which represents the quality of the raw egg. The first raw egg information storage unit 325 stores raw egg information in advance and stores the raw egg quality information. The first operator information analysis unit 383 analyzes one or more types of operational information and one or more types of setting information on an operator-by-operator basis and outputs operator information. For example, the operator information analysis unit analyzes one or more of the following based on operator identification information, operator type, operator location information, operator mode, and operator movement information: operating rate decrease, work efficiency, downtime, abnormal occurrence, and status change. The first operator information storage unit 326 stores the operator information. The first stage change information analysis unit 384 analyzes one or more types of operational information and one or more types of setting information, and outputs stage change information. The first stage change information storage unit 327 stores the stage change information. The first condition extraction unit 385 outputs extracted information based on extraction conditions from one or more of the following: information on factors causing decreased operating rate, work efficiency information, downtime, downtime factors, abnormality occurrence factors, status change information, raw egg quality information, operator information, and setup change information. The first extracted information storage unit 328 stores the extracted information. The first display unit 33 displays various data on a monitor, including information on factors causing decreased operating rate, work efficiency, downtime, factors causing downtime, factors causing abnormalities, status change information, raw egg quality information, operator information, setup change information, extraction information, and other data. The first transmission unit 311 may transmit operation information, setting information, and identification information to the second operation management device 50 and / or the third operation management device 60 via the networks 101, 501, and 601. The first transmission unit 311 may also transmit information on factors causing a decrease in operating rate, work efficiency information, downtime, downtime factors, abnormality occurrence factors, status change information, raw egg quality information, operator information, setup change information, and extraction information to the second operation management device 50 and / or the third operation management device 60 via the networks 101, 501, and 601. The first main control unit 34 controls various processes of the first operation management device 30.

[0051] (Embodiment 2: Operation Management Device) Figure 2B shows the functions of the first operation management device 30, the second operation management device 50, and the third operation management device 60. In Figure 2B, the second operation management device 50 performs various analysis processes and sends the results to the first and third operation management devices 30 and 60. The second operation management device 50 includes a second operation rate reduction factor analysis unit 55, a second future operation estimation unit 551, a second future operation image estimation unit 552, a second work efficiency information analysis unit 56, a second downtime aggregation unit 571, a second downtime factor analysis unit 572, a second abnormality occurrence factor analysis unit 573, a second state change analysis unit 581, a second raw egg quality analysis unit 582, a second operator information analysis unit 583, a second setup change information analysis unit 584, and a second condition extraction unit 585. These have the same functions as the first operation rate reduction factor analysis unit, first future operation estimation unit, first future operation image estimation unit, first work efficiency information analysis unit, first downtime aggregation unit, first downtime factor analysis unit, first abnormality occurrence factor analysis unit, first state change analysis unit, first raw egg quality analysis unit, first operator information analysis unit, first setup change information analysis unit, and first condition extraction unit of the first operation management device 30. The second receiving unit 51 receives operation information (including device identification information, etc.) and setting information directly from the first operation management device 30 or each device. The second storage unit 52 and the second setting information storage unit 521 store the received operation information (including device identification information, etc.) and setting information. The second display unit 53 displays various data such as information on factors causing decreased operating rate, work efficiency information, downtime, downtime factors, abnormality occurrence factors, status change information, raw egg quality information, operator information, setup change information, extraction information, and other various data on a monitor or the like. The second operating rate reduction factor information storage unit 521 stores operating rate reduction factor information. The second work efficiency information storage unit 522 stores work efficiency information. The second stop / abnormality factor storage unit 523 stores stop time, stop factor, and abnormality occurrence factor. The second raw egg information storage unit 525 has raw egg information stored in advance and stores raw egg quality information. The second operator information storage unit 526 stores operator information. The second setup change information storage unit 527 stores setup change information. The second extraction information storage unit 528 stores extraction information. The second transmission unit 511 transmits information on factors causing decreased operating rate, work efficiency information, downtime, downtime factors, abnormality occurrence factors, status change information, raw egg quality information, operator information, setup change information, and extraction information to the first operation management device 30 and the third operation management device 60 via networks 101, 501, and 601, and stores them in the respective storage units of the first and third operation management devices 30 and 60. In addition, each of these data is transmitted to a mobile terminal 40, and the data can be displayed on the mobile terminal. The second main control unit 54 controls various processes of the second operation management device 50.

[0052] (Embodiment 3: Operation Management Device) Figure 2C shows the functions of the first operation management device 30, the second operation management device 50, and the third operation management device 60. In Figure 2C, the third operation management device 60 performs various analysis processes and sends the results to the first and second operation management devices 30 and 50. The third operation management device 60 includes a third operation rate reduction factor analysis unit 65, a third future operation estimation unit 651, a third future operation image estimation unit 652, a third work efficiency information analysis unit 66, a third downtime aggregation unit 671, a third stop factor analysis unit 672, a third abnormal occurrence factor analysis unit 673, a third state change analysis unit 681, a third raw egg quality analysis unit 682, a third operator information analysis unit 683, a third setup change information analysis unit 684, and a third condition extraction unit 685. These have the same functions as the first and second operation rate reduction factor analysis unit, first and second future operation estimation unit, first and second future operation image estimation unit, first and second work efficiency information analysis unit, first and second downtime aggregation unit, first and second stop factor analysis unit, first and second abnormal occurrence factor analysis unit, first and second state change analysis unit, first and second raw egg quality analysis unit, first and second operator information analysis unit, first and second setup change information analysis unit, and first and second condition extraction unit of the first and second operation management devices 30 and 50. The third receiving unit 61 receives operation information (including device identification information, etc.) and setting information directly from the first and second operation management devices 30, 50 or each device. The third storage unit 62 and the third setting information storage unit 621 store the received operation information (including device identification information, etc.) and setting information. The third display unit 63 displays various data such as information on factors causing decreased operating rate, work efficiency information, downtime, downtime factors, abnormality occurrence factors, status change information, raw egg quality information, operator information, setup change information, extraction information, and other various data on a monitor or the like. The third operating rate reduction factor information storage unit 621 stores operating rate reduction factor information. The third work efficiency information storage unit 622 stores work efficiency information. The third stop / abnormality factor storage unit 623 stores stop time, stop factor, and abnormality occurrence factor. The third raw egg information storage unit 625 has raw egg information stored in advance and stores raw egg quality information. The third operator information storage unit 626 stores operator information. The third setup change information storage unit 627 stores setup change information. The third extraction information storage unit 628 stores extraction information. The third transmission unit 611 transmits information on factors causing decreased operating rate, work efficiency information, downtime, downtime factors, abnormality occurrence factors, status change information, raw egg quality information, operator information, setup change information, and extraction information to the first operation management device 30 and the second operation management device 50 via the networks 101, 501, and 601, and stores them in the respective storage units of the first and second operation management devices 30 and 50. In addition, each of these data is transmitted to the mobile terminal 40, and the data can be displayed on the mobile terminal. The third main control unit 64 controls various processes of the third operation management device 60.

[0053] (Embodiment 4: Operation Management Device) Embodiment 4 is configured such that the first operation management device 30, the second operation management device 50, and the third operation management device 60 each perform, store, and display various analysis processes. All analysis processes may be performed by one of the management devices, or the data may be received by another management device after the analysis processes have been performed.

[0054] (Display operation) Embodiments 1 to 4 illustrate one embodiment of the data display method. The first, second, and third information selection units 391, 591, and 691 select one or more types of information (items) to display from among operation information, raw egg information, setting information, equipment manufacturing information, operating rate reduction factor information, work efficiency information, downtime, stop factor information, abnormal occurrence factor information, status change information, operator information, and setup change information. Figure 3A shows an example of selecting items to display. In Figure 3A, the user ID / processing system can be selected. Selection may be made by keyword search or by indicating checkboxes. Various information of any equipment can be selected. The configuration of the selection screen may be executed by various control units or each selected information display unit. The first, second, and third selected information display units 331, 531, and 631 display the information selected by the first, second, and third information selection units 391, 591, and 691, respectively. Figure 3B shows an example of operational information. The displayed data may be today's real-time data or historical data. The first, second, and third detailed information display units 332, 532, and 632 display detailed information from the information selected by the first, second, and third information selection units 391, 591, and 691, or from the information displayed by the first, second, and third selected information display units 331, 531, and 631. An example of detailed information is shown at the bottom of Figure 3B. The data displayed may be today's real-time data or historical data. In this embodiment, as an example of operational information, data on power-on time from the past three months to the present, conveyor travel distance, and the number of raw eggs processed are shown. The horizontal axis represents days. At the bottom of Figure 3B, arbitrary data for raw egg processing is indicated (indicated by a dashed line frame), and an example of the time trend of the number of raw eggs processed, for example, the trend over one hour, is shown. Operational information can be displayed for any period selected in units such as one hour, one day, one week, one month, and one year. It is also possible to display detailed historical data for a predetermined time period (for example, two hours, four hours, or eight hours). Other display data can include, for example, operating status, stop status, error information, real-time processing volume, processing slips for the day, past processing slips, processed egg analysis results, various operational data, various setting data, and various analysis information. Figure 4A shows an example of the inspection screen of the second inspection device. Four cameras are installed, and the images captured by each camera are displayed. The inspection results include the number of eggs processed, the number of contaminated eggs, and the contaminated egg rate. The judgment level, which is set in advance, is also displayed. Figure 4B shows an example of the settings screen for the second inspection device. The target brightness and sensitivity of the camera can be set. The illumination intensity can also be set. Figure 4C shows an example of the analysis screen. In Figure 4C, the number of abnormal eggs processed and the percentage of abnormal eggs are displayed as line graphs. The type of graph display and which analysis results to display can be selected using a pull-down menu.

[0055] (Remote control) In embodiments 1 to 4, the settings of each i-th device can be set remotely from the first operation management device 30, the second operation management device 50, and the third operation management device 60. Because the settings are set remotely, the setting information for each i-th device is stored in the installation information storage unit. The first, second, and third setting information display units 333, 533, and 633 display one or more of the current setting information of the i-th device (control unit). The first, second, and third setting information input units 392, 592, and 692 modify one or more of the displayed setting information while referring to it. The first, second, and third changed setting information transmission units 3111, 5111, and 6111 transmit the changed setting information entered by the first, second, and third setting information input units 392, 592, and 692 to the i-th device involved in the change. The first, second, and third setting information display units 333, 533, and 633 may display the same data as the various data displayed in each selection information display unit or each detailed information display unit. The first, second, ... setting information input units 1191, 1291, ... of the i-th device receive the changed setting information via their respective receiving units 1181, 1281, ... and update the current setting information with the changed setting information. Figure 3C shows an example of the settings information update screen. You can search for each device. An overview of various information for each device may also be displayed. Warnings based on the various information may also be indicated. You can select the settings you want to change using checkboxes. After selection, you will be taken to a screen for changing the settings information. Figure 3D shows a list of settings information. The current settings information is displayed, and an input box for updating is displayed to the right of it. After entering the information, you can select the update button to update (confirm). At the bottom of Figure 3D, for example, real-time data of the number of raw eggs processed is displayed, showing that the number of processed eggs has increased after the settings information has been changed (updated). As an alternative example, although shown as a continuous line, when cleaning is performed for maintenance, the device is stopped, and the number of processed eggs may become zero. In an alternative embodiment, the first operation management device 30, the second operation management device 50, and the third operation management device 60 may be equipped with means (remote access function) for accessing the control unit of the i-th device and updating the current setting information of the i-th device using the input unit of the i-th device. Figure 4D shows an example of a screen display (remote monitoring screen) during remote operation. Various data such as status monitoring, various alarms, and various analyses / summaries can be displayed. Figure 4D shows an example of a processing volume display, and processing data and various graphs (bar, circle) can be displayed.

[0056] (Another embodiment) As another embodiment of the egg processing system shown in Figure 5, instead of the boxing device 23 and palletizer 24, it includes a container loading device 203 for loading containers onto a transport trolley and a shelf opening device 204 for opening the folding shelves of the transport trolley. Examples of the container loading device 203 and shelf opening device 204 include those described in Japanese Patent Publication No. 6684511, Japanese Patent Application Publication No. 2021-172416, and Japanese Patent Application Publication No. 2021-147241. [Explanation of Symbols]

[0057] 1. Egg Processing System 30 First Operation Management Device 31 First receiving unit 311 First Transmitter 32 First memory section 33 First display section 34 First Main Control Unit 35. First Department for Analyzing Factors Contributing to Decline in Operating Rate 36. First Work Efficiency Information Analysis Department 371 First Stop Time Calculation Unit 372 First stoppage factor analysis department 373 First Department for Analyzing Causes of Anomalies 381 First State Change Analysis Department 382 Daiichi Ogo Quality Analysis Department 383 First Operator Information Analysis Department 384 First Stage Replacement Information Analysis Department 385 First condition extraction part 39 First Input Section 50 Second Operation Management Device 60 Third Operation Management Device

Claims

1. The first operational management device is connected to the i-th device, which constitutes the egg processing system, via a communication network. A second operational management device is connected to the aforementioned egg processing system via a communication network, The system comprises a first operation management device and / or a third operation management device connected to the second operation management device via a communication network, One or more of the first operation management device, the second operation management device, and the third operation management device are: A receiving unit receives from the i-th device the operation information of the i-th device, the setting information related to the processing of the i-th device, and the identification information of the i-th device. A storage unit that stores the operation information, setting information, and identification information received by the receiving unit, An operation management system for an automated egg processing device, comprising: One or more of the first operation management device, the second operation management device, and the third operation management device are: (B) A work efficiency information analysis unit that analyzes one or more types of past operational information and one or more types of setting information for those past operational information, and outputs work efficiency information which is the work efficiency of each device or all devices, (G) A raw egg quality analysis unit that analyzes one or more types of raw egg information and one or more types of operational information and outputs raw egg quality information, which is the quality of the raw egg. (H) An operator information analysis unit that analyzes one or more types of information from the operational information and one or more types of information from the setting information on an operator-by-operator basis and outputs operator information, (I) A setup change information analysis unit that analyzes one or more types of information from the operation information and one or more types of information from the setting information and outputs setup change information, Among these, one or more are provided. Operation management system for an automated egg processing machine.

2. One or more of the first operation management device, the second operation management device, and the third operation management device are: (A) An operating rate reduction factor analysis unit that calculates the operating rate from one or more types of information from the aforementioned operating information, analyzes the factors causing the decrease in the operating rate of the i-th device whose operating rate is lower than the operating rate threshold, and outputs information on factors causing the decrease in the operating rate, (C) A stop time aggregation unit that aggregates stop times from one or more types of information among the operational information, (D) An analysis unit for the cause of shutdown, which analyzes the cause of shutdown from one or more types of operational information and outputs the cause of shutdown information. (E) An abnormality occurrence cause analysis unit that analyzes the cause of abnormality from one or more types of information from the aforementioned operational information and outputs abnormality occurrence cause information, (F) A state change analysis unit that analyzes state changes from one or more types of information among the aforementioned operational information and outputs state change information, Of these, one or more further comprises: Operation management system for an automated egg processing device according to claim 1.

3. The i-th device, which constitutes the egg processing system, and the on-site operation management device, which is connected via a communication network, The system comprises a remote operation management device connected to the aforementioned on-site operation management device via a communication network, The aforementioned on-site operation management device and / or the aforementioned remote operation management device are A receiving unit receives from the i-th device the operation information of the i-th device, the setting information related to the processing of the i-th device, and the identification information of the i-th device. A storage unit that stores the operation information, setting information, and identification information received by the receiving unit, An operation management system for an automated egg processing device, comprising: The aforementioned on-site operation management device and / or the aforementioned remote operation management device are (B) A work efficiency information analysis unit that analyzes one or more types of past operational information and one or more types of setting information for those past operational information, and outputs work efficiency information which is the work efficiency of each device or all devices, (G) A raw egg quality analysis unit that analyzes one or more types of raw egg information and one or more types of operational information and outputs raw egg quality information, which is the quality of the raw egg. (H) An operator information analysis unit that analyzes one or more types of information from the operational information and one or more types of information from the setting information on an operator-by-operator basis and outputs operator information, (I) A setup change information analysis unit that analyzes one or more types of information from the operation information and one or more types of information from the setting information and outputs setup change information, Among these, one or more are provided. Operation management system for an automated egg processing machine.

4. The aforementioned on-site operation management device and / or the aforementioned remote operation management device are (A) An operating rate reduction factor analysis unit that calculates the operating rate from one or more types of information from the aforementioned operating information, analyzes the factors causing the decrease in the operating rate of the i-th device whose operating rate is lower than the operating rate threshold, and outputs information on factors causing the decrease in the operating rate, (C) A stop time aggregation unit that aggregates stop times from one or more types of information among the operational information, (D) An analysis unit for the cause of shutdown, which analyzes the cause of shutdown from one or more types of operational information and outputs the cause of shutdown information. (E) An abnormality occurrence cause analysis unit that analyzes the cause of abnormality from one or more types of information from the aforementioned operational information and outputs abnormality occurrence cause information, (F) A state change analysis unit that analyzes state changes from one or more types of information among the aforementioned operational information and outputs state change information, Of these, one or more further comprises: Operation management system for an automated egg processing device according to claim 3.

5. A setting information display unit that displays one or more pieces of information from the current setting information of the i-device, A setting information input unit that modifies one or more of the setting information while referring to one or more of the setting information, The system further comprises a change setting information transmission unit that transmits the change setting information input in the setting information input unit to the i-device related to the change, The operation management system according to claim 1 or 3.

6. A receiving unit that receives one or more types of image information from each i-th device, including image information of the i-th device or its components, image information of eggs in the transport state, and image information for monitoring the operator and the i-th device. The system further comprises a storage unit that stores each image information received by the receiving unit, The operation management system according to claim 1 or 3.

7. The system includes a future operation estimation unit that estimates and outputs future operating conditions by inputting operating information and setting information into a future operation estimation learning model created using intelligent information technology, which includes training data containing one or more types of setting information and one or more types of operating information from past normal and abnormal conditions. The operation management system according to claim 1 or 3.

8. The system further includes a future operation image estimation unit that estimates and outputs future operation status by inputting image information of the i-th device or its components, image information of eggs in transport, and / or image information for monitoring the operator and the i-th device into a future operation image estimation learning model created by intelligent information technology using training data that includes image information of the i-th device or its components, image information of eggs in transport, and / or image information for monitoring the operator and the i-th device during past normal and abnormal conditions. The operation management system according to claim 1 or 3.

9. A method for managing the operation of an automated egg processing device, Executed by one or more processors or information processing devices, A work efficiency information analysis step involves analyzing one or more pieces of past operational information and one or more pieces of setting information from the time of that one or more pieces of past operational information, and outputting work efficiency information, which is the work efficiency of each device or all devices. A raw egg quality analysis step involves analyzing one or more types of information from raw egg information and operational information, which is information regarding the operation of the i-th device, and outputting raw egg quality information, which is the quality of the raw egg. An operator information analysis step involves analyzing one or more types of operational information related to the operation of the i-th device and one or more types of setting information related to the processing of the i-th device on an operator-by-operator basis, and outputting operator information. The process includes one or more steps of the following: an analysis step of setup information, which analyzes one or more types of operational information relating to the operation of the i-th device and one or more types of setting information relating to the processing of the i-th device, and outputs setup information; Operation management methods.

10. An operating rate reduction factor analysis step which involves calculating the operating rate from operating information which is information relating to the operation of the i-th device, analyzing the factors causing the decrease in the operating rate of the i-th device which has an operating rate lower than the operating rate threshold, and outputting information on factors causing the decrease in the operating rate, A stop time aggregation step, which aggregates the stop time from one or more types of information among the operational information, which is information related to the operation of the i-th device, A stop-factor analysis step that analyzes the cause of the stoppage from one or more types of operational information, which is information related to the operation of the i-th device, and outputs the stop-factor information. An abnormality cause analysis step involves analyzing the cause of an abnormality from one or more types of operational information, which is information related to the operation of the i-th device, and outputting information on the cause of the abnormality. A state change analysis step that analyzes state changes from one or more types of operational information, which are information related to the operation of the i-th device, and outputs state change information, This further includes one or more of the following steps: The operation management method according to claim 9.

11. The process further includes receiving one or more types of image information from each i-th device, including image information of the i-th device or its components, image information of eggs in transport state, and image information for monitoring the operator and the i-th device, and storing each of the received image information in a storage unit. The method according to claim 9.

12. The following steps are further included: a future operation estimation step in which the future operation status is estimated and output by inputting operation information and configuration information into a future operation estimation learning model created by intelligent information technology using training data that includes one or more types of configuration information and one or more types of operation information from past normal and abnormal conditions. The method according to claim 9.

13. The present invention further includes a future operation image estimation step, in which the image information of the i-th device or its components, the image information of eggs in transport, and / or the image information for monitoring the operator and the i-th device is input to a future operation image estimation learning model created by intelligent information technology using training data that includes image information of the i-th device or its components, image information of eggs in transport, and / or the image information for monitoring the operator and the i-th device during past normal and abnormal conditions, thereby estimating and outputting future operation conditions. The method according to claim 9.

14. An operation management program for an automated egg processing device, One or more processors or information processing devices, A program that implements the method of any one of claims 9 to 13.

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