JP7295676B2 - Information processing device and program - Google Patents

Description

The present disclosure relates to an information processing device and a program.

Since a large amount of power is consumed in a factory or the like where many machines are operated, reduction of power consumption is an issue. Patent Literature 1 proposes a technique for accurately predicting the power consumption of each machine in a factory. By accurately predicting the power consumption of each machine using the technology disclosed in Patent Document 1, for example, the power consumption of the entire factory can be kept within the range of the power consumption contracted with the electric power company. It is possible to determine the operation plan of each machine at the same time.

JP 2017-73935 A

However, the technique disclosed in Patent Document 1 does not improve the production efficiency and work efficiency of each machine, so it is difficult to support the improvement of production efficiency and work efficiency.

The present disclosure has been made in view of such circumstances, and its purpose is to provide information that can support improvement of production efficiency and work efficiency in machines by stably operating machines. The purpose of the present invention is to provide a processing device and the like.

An information processing apparatus according to the present disclosure includes a condition acquisition unit that acquires processing conditions that affect energy consumption in a machine that processes each processing object, corresponding to a plurality of processing objects; a specification unit for specifying a machine for processing each of the plurality of processing objects so as to reduce fluctuations in energy consumption in the plurality of machines processing objects under respective processing conditions; and a variation display unit for displaying, for each of the machines, the variation state of the processing conditions to be processed for the assigned processing objects based on the allocation status of the machines specified by the specifying unit.

In the present disclosure, machines that process a plurality of objects to be processed under corresponding processing conditions are specified so that variations in energy consumption in each machine are reduced. A small fluctuation in the energy consumption of a machine means that the machine is operating stably, and by stably operating the machine, it is possible to improve the production efficiency and work efficiency of the machine. .

It is a block diagram which shows the structural example of an allocation apparatus. FIG. 4 is a schematic diagram showing a configuration example of a DB stored in an allocation device; It is a flowchart which shows the procedure example of the reception processing of the order information by an allocation apparatus. It is a schematic diagram which shows an example of a screen. FIG. 10 is a flowchart showing an example of allocation processing procedure performed by an allocation device; FIG. It is a schematic diagram which shows an example of a screen. It is a block diagram which shows the structural example of a management system. It is a block diagram which shows the structural example of a management apparatus. 4 is a schematic diagram showing a configuration example of a DB stored in a management device; FIG. 4 is a schematic diagram showing a configuration example of a DB stored in a management device; FIG. 8 is a flowchart illustrating an example of a procedure of accumulation processing of measurement results of a monitoring unit by a management device; 4 is a flow chart showing an example of a procedure of analysis processing of operation history of each machine by a management device; FIG. 5 is an explanatory diagram of analysis processing by the management device; 7 is a flow chart showing an example of the procedure of display processing of analysis results by the management device; It is a schematic diagram which shows an example of a screen. It is a schematic diagram which shows an example of a screen. FIG. 12 is a block diagram showing a configuration example of a management system according to Embodiment 4; FIG. 14 is a flow chart showing an example of a procedure of analysis processing of operation history of each machine by the management device of the fourth embodiment; FIG. FIG. 14 is a block diagram showing a configuration example of a management system according to Embodiment 5; 6 is a flow chart showing an example of the procedure of analysis result provision processing by the management device; 6 is a flow chart showing an example of the procedure of analysis result provision processing by the management device;

The information processing apparatus and program of the present disclosure will be described in detail below based on the drawings showing the embodiments thereof.

(Embodiment 1)
FIG. 1 is a block diagram showing a configuration example of an allocation device. The allocation device 50 of the present embodiment performs processing for allocating processing objects to be processed by each machine, for example, to a plurality of machines used in a spinning factory. Note that the plurality of machines are, for example, machines for drying woven fabrics, fabrics, etc. after they have been dyed in a spinning factory, and include machines that heat-treat the woven fabrics, fabrics, etc. FIG. The allocation device 50 is an information processing device such as a personal computer or a server computer, and is, for example, a terminal used by a person in charge of production planning and production management in a factory. The allocation device 50 performs various types of information processing, such as a process of acquiring and accumulating order information related to ordered products and a process of allocating processing objects to be processed by respective machines based on the order information. A plurality of allocation devices 50 may be provided and configured to perform distributed processing, or may be realized using a plurality of virtual machines or a cloud server provided in one server.

The allocation device 50 includes a control section 51, a storage section 52, a communication section 53, an input section 54, a display section 55, a reading section 56, etc. These sections are interconnected via a bus. The control unit 51 includes one or more processors such as a CPU (Central Processing Unit), an MPU (Micro-Processing Unit), or a GPU (Graphics Processing Unit). By appropriately executing the control program 52P stored in the storage unit 52, the control unit 51 causes the allocation device 50 to perform various information processing, control processing, and the like that should be performed by the information processing apparatus of the present disclosure.

The storage unit 52 includes a RAM (Random Access Memory), a flash memory, a hard disk, an SSD (Solid State Drive), and the like. The storage unit 52 stores in advance a control program 52P executed by the control unit 51 and various data necessary for executing the control program 52P. The storage unit 52 also temporarily stores data and the like generated when the control unit 51 executes the control program 52P. The storage unit 52 also stores a task allocation application (task allocation application program) 52AP for the allocation device 50 to allocate the processing object to each machine. Further, the storage unit 52 stores a machine DB (database) 52a, an order DB 52b, and an allocation DB 52c, which will be described later. The machine DB 52a, the order DB 52b, and the allocation DB 52c may be stored in an external storage device connected to the allocation device 50, or may be stored in an external storage device with which the allocation device 50 can communicate.

The communication unit 53 includes an interface for connecting to a network such as the Internet or a LAN (Local Area Network) by wired communication or wireless communication, and transmits and receives information via the network. The input unit 54 accepts an operation input by the user and sends a control signal corresponding to the content of the operation to the control unit 51 . The display unit 55 is a liquid crystal display, an organic EL display, or the like, and displays various information according to instructions from the control unit 51 . The input unit 54 and the display unit 55 may be a touch panel integrally configured.

The reading unit 56 reads information stored in a portable storage medium 5a including CD (Compact Disc)-ROM, DVD (Digital Versatile Disc)-ROM, or USB (Universal Serial Bus) memory. The control program 52P, task allocation application 52AP, and various data stored in the storage unit 52 are stored in the portable storage medium 5a, and the control unit 51 reads them from the portable storage medium 5a via the reading unit 56. You may memorize|store in the memory|storage part 52. FIG. The control program 52P, task allocation application 52AP, and various data stored in the storage unit 52 may be downloaded from an external device by the control unit 51 via the communication unit 53 and stored in the storage unit 52 . Furthermore, the control program 52P, the task allocation application 52AP, and various data may be stored in the semiconductor memory 5b, and the control unit 51 may read them out from the semiconductor memory 5b and store them in the storage unit 52. FIG.

FIG. 2 is a schematic diagram showing a configuration example of the DBs 52a to 52c stored in the allocation device 50. As shown in FIG. 2A shows the machine DB 52a, FIG. 2B shows the order DB 52b, and FIG. 2C shows the allocation DB 52c. The machine DB 52a stores information about machines installed in the factory. The machine DB 52a shown in FIG. 2A includes a machine ID column, a model number column, a manufacturing date column, an operating years column, and the like. The machine ID column stores identification information assigned in advance to each machine, and the model number column, manufacturing year/month column, and operating years column correspond to the machine ID, and each machine's model number, manufacturing year/month, and operating years are stored. Remember. The machine ID stored in the machine DB 52 a is issued and stored by the control section 51 when the control section 51 acquires information on a new machine via the input section 54 or the communication section 53 . The model number, date of manufacture, and number of years of operation stored in the machine DB 52 a are added or changed by the control unit 51 each time the control unit 51 obtains an addition or change instruction via the input unit 54 or the communication unit 53 . The storage contents of the machine DB 52a are not limited to the example shown in FIG. 2A, and can store various information about machines such as the location (placement area) of each machine in the factory.

The order DB 52b stores information on received orders. The order DB 52b shown in FIG. 2B includes an order ID column, a delivery date column, a priority column, a set temperature column, a predicted work time column, and the like. The order ID column stores identification information assigned in advance to each order, and the delivery date column and priority column store the delivery date (delivery deadline) and priority associated with the order in association with the order ID, respectively. The set temperature column and the predicted work time column respectively store the set temperature (temperature conditions) and the predicted work time for operating each machine based on the order in association with the order ID. The order ID stored in the order DB 52b is issued and stored by the control unit 51 when the control unit 51 acquires new order information via the input unit 54 or the communication unit 53 . The delivery date, priority, and set temperature stored in the order DB 52b are added or changed by the control unit 51 each time the control unit 51 acquires an addition or change instruction via the input unit 54 or the communication unit 53 . The predicted work time stored in the order DB 52b is calculated and stored by the control unit 51 when the control unit 51 acquires new order information via the input unit 54 or the communication unit 53 . The contents stored in the order DB 52b are not limited to the example shown in FIG. 2B, and may store various information related to the contents of the order, such as the order date, the name of the company that placed the order, the number of orders received, the product number of the product to be manufactured, the product name, and the like. can be done.

The assignment DB 52c stores information on processing (work) assigned to each machine. The allocation DB 52c shown in FIG. 2C includes a machine ID column, a first processing column, a second processing column, and the like. The machine ID column stores the identification information of each machine, and the machine ID registered in the machine DB 52a is used as the machine ID of each machine. The first process column stores information about an order to be processed first (first process) in association with the machine ID. Specifically, the first processing column includes an order ID column, a set temperature column and a priority column, and the order ID column, the set temperature column and the priority column respectively correspond to the order ID and setting of the order to be processed first. Store temperature and priority. The second processing column stores information related to the order to be processed second (second processing) in association with the machine ID, and stores the order ID, set temperature and priority of the order to be processed second. Includes order ID column, set temperature column and priority column. The assignment DB 52c shown in FIG. 2C includes two processing columns (first processing column and second processing column), and the number of processing columns is equal to the number of processes (orders) assigned to each machine. Machine IDs stored in the assignment DB 52c are stored in advance. Information about each process stored in the allocation DB 52c is stored by the control unit 51 when the control unit 51 allocates each process (order) to each machine. The storage contents of the allocation DB 52c are not limited to the example shown in FIG. 2C, and may store various information regarding each process (order).

Processing performed by the allocation device 50 having the above configuration will be described below. FIG. 3 is a flow chart showing an example of the order information acceptance process performed by the allocation device 50, and FIG. 4 is a schematic diagram showing an example of a screen. The following processing is executed by the control unit 51 according to the control program 52P and the task allocation application 52AP stored in the storage unit 52 of the allocation device 50. FIG. For example, when receiving an instruction to execute the task allocation application 52AP via the input unit 54, the control unit 51 of the allocation device 50 activates (executes) the task allocation application 52AP. When the task allocation application 52AP is activated, the control unit 51 displays an order reception screen as shown in FIG. 4 on the display unit 55 (S101). The order receiving screen shown in FIG. 4 is an input screen for inputting information related to the received order. It has an input field. The priority input field is provided with radio buttons for selecting either high or normal. The priority that can be input is not limited to two stages, and may be configured so that three or more stages of priority can be input. The orderer ID input field is provided with a pull-down menu for selecting any one of a plurality of orderer IDs. A pull-down menu is provided to select any one from. The set temperature may be set within a predetermined temperature range such as 100.degree. C. to 120.degree. C. or 180.degree. C. to 200.degree. In this case, the input field for the set temperature is provided with a pull-down menu for selecting any one from a plurality of temperature ranges.

The user of the allocation device 50 (the person in charge of allocation processing) inputs each piece of information indicating the content of the received order into each entry column using the input section 54 on the order reception screen. The user selects any one of the orderer ID and the set temperature from the pull-down menu. Further, the priority input field may be configured such that, for example, when the delivery date is input, "high" or "normal" is automatically selected with a radio button. In this case, for example, the control unit 51 compares the input delivery date with the current date and time, and if the number of days until the delivery date is equal to or less than a predetermined number of days (for example, one day), the radio button automatically selects "high". It may be configured to select. The control unit 51 receives information (order information) input via the input unit 54 (S102).

The order receiving screen displays an OK button for requesting (instructing) the registration of the input order information. Accordingly, it is determined whether or not registration of order information has been requested (S103). If it is determined that registration of order information has not been requested (S103: NO), the control unit 51 returns to the process of step S102 and continues accepting order information via the order reception screen. If it is determined that registration of order information has been requested (S103: YES), the control unit 51 issues an order ID (S104), and predicts (calculates the predicted work time) the work time required for processing the order. (S105). Here, for example, in association with the number of processing objects to be processed, the work time until the work on the processing object of each processing number is completed by normal processing is stored in the storage unit 52 . Then, in step S105, the control unit 51 may read from the storage unit 52 the work time corresponding to the number of orders received in step S102 and set it as the predicted work time.

The control unit 51 associates the order ID issued in step S104, the order information (delivery date, priority, set temperature, etc.) received in step S102 with the predicted work time calculated in step S105, and stores them in the order DB 52b. (S106), and the process ends. Through the processing described above, the order information received via the order receiving screen is sequentially stored in the order DB 52b.

FIG. 5 is a flowchart showing a procedure example of allocation processing by the allocation device 50, and FIG. 6 is a schematic diagram showing a screen example. The allocation process is a process of allocating a machine that performs processing (work) related to an order to each order. The following processing is executed by the control unit 51 according to the control program 52P and the task allocation application 52AP stored in the storage unit 52 of the allocation device 50. FIG. For example, when the control unit 51 of the allocation device 50 receives an instruction to execute the task allocation application 52AP via the input unit 54 and further receives an instruction to execute allocation processing, it reads out one piece of order information from the order DB 52b (S111). The order information includes temperature settings (temperature conditions) in processing related to the order information. Since the amount of electric power (power consumption) supplied to the machine differs when the set temperature is different, it can be said that the set temperature is a processing condition that affects the energy consumption of the machine. Therefore, the control unit 51 functions as a condition acquiring unit that acquires processing conditions that affect the energy consumption of the machine that processes the processing object, corresponding to the processing object. The order information also includes a priority for processing related to the order information. Therefore, the control unit 51 functions as a priority information acquisition unit that acquires priority information indicating the priority of processing objects.

The control unit 51 determines whether or not the priority of the process related to the order information is high according to whether the priority included in the read order information is high or normal (S112). When the control unit 51 determines that the priority is high (S112: YES), the set temperature of the processing performed before and after the processing (interruption processing) related to the order information is the same. It is determined whether or not there is a machine capable of interrupting interrupt processing (S113). In step S113, the control unit (specification unit) 51 sequentially selects each process stored in the allocation DB 52c as the first process of each machine, and if the interrupt process is interrupted by the normal process, the interrupt process is interrupted. A search is made for processing (interruptible processing) in which the set temperature is the same between the interrupt processing and the processing before and after it (variation in the set temperature is small) and each processing after the interrupt processing can be completed within the delivery date. Note that the control unit 51 uses the estimated work time stored in the order DB 52b for each process (process related to an order) to determine whether or not each process can be completed within the delivery date when an interrupt process is interrupted. can be judged. If such an interruptible process can be retrieved, the control unit 51 determines that there is a machine that can be interrupted without changing the set temperature (S113: YES), and designates this machine as the machine that performs the interrupt process. Allocate (S114). In step S114, the control unit 51 sequentially shifts the information of the processing after the processing judged to be interruptible in the allocation DB 52c to the rear, and interrupts and stores the information of the processing (interruption processing) related to the read order information. . Thereby, a processing plan can be made so that processing (interruption processing) related to order information with a high priority is preferentially processed. Further, when the interrupt process is interrupted, the process can be interrupted so that the change in the set temperature of the process before and after the interrupt is reduced. By reducing the fluctuation of the set temperature, the fluctuation of the energy consumption of the machine can be reduced.

If it is determined that there is no machine that can be interrupted without changing the set temperature (S113: NO), the control unit 51 specifies a machine that can be interrupted by the interrupt process without considering the set temperature (S115). ). In step S115, the control unit 51 sequentially selects each process stored in the allocation DB 52c as the first process of each machine, with the priority being normal. Identify the processing (interruptible processing) that can be completed within the delivery date. The control unit 51 identifies such an interruptible process, and assigns the machine that performs the identified process as an interruptible machine to the machine that performs the interrupt process (S114). Thereby, a processing plan can be made so that processing (interruption processing) related to order information with a high priority is preferentially processed.

If it is determined that the priority of the process related to the read order information is not high (S112: NO), the control unit 51 assigns the process related to this order information (normal process) to the last process of each machine. , the set temperature is the same as that of the previous processing (variation of the set temperature is small), and it is determined whether there is a machine (machine that can be assigned) that can complete this normal processing within the delivery date (S116). When the controller 51 determines that there is a machine that can be assigned without changing the set temperature (S116: YES), this machine is assigned to the machine that performs normal processing (S114). Here, the control unit 51 stores the information of the process (normal process) related to the read order information as the information of the last process of the machine determined to be allocatable in the allocation DB 52c. As a result, when allocating the machines to the normal processing, it is possible to allocate the machines so that the variation in the set temperature of each machine is small.

If it is determined that there is no machine that can be assigned without changing the temperature setting (S116: NO), the control unit 51 specifies a machine to which normal processing can be assigned without considering the temperature setting (S117). . In step S117, the control unit 51 specifies a machine (allocatable machine) that can complete the normal process within the delivery date when the normal process is assigned to the last process of each machine. The control unit 51 assigns the identified machine to the machine that performs normal processing (S114). Here, the control unit 51 stores the information of the process (normal process) related to the read order information as the information of the last process of the machine determined to be allocatable in the allocation DB 52c. As a result, when allocating machines for normal processing, it is possible to allocate machines so that the processing can be completed within the delivery date.

The control unit 51 determines whether or not the machine allocation process has been completed for all the order information stored in the order DB 52b (S118). ), and the process returns to step S111. The control unit 51 reads one piece of unprocessed order information from the order DB 52b (S111), and performs steps S112 to S117 on the read order information. As a result, it is possible to assign a machine to perform each process to the process related to each order information stored in the order DB 52b.

When the control unit 51 determines that the machine allocation process has been completed for all the order information (S118: YES), based on the correspondence relationship between each machine and each process stored in the allocation DB 52c, as shown in FIG. 6A assignment table is created (S119), and the process ends. The assignment table shown in FIG. 6A displays the information of each process (for example, order ID, set temperature, priority) assigned to each machine in the assigned order in association with the machine ID of each machine. The control unit (assignment display unit) 51 displays the created assignment table on the display unit 55, and shows the assignment status between each of the plurality of order information (objects to be processed) and the machines assigned to the processing related to the order information. indicate. This makes it possible to grasp the processing to be performed by each machine at a glance.

In addition, in the allocation table shown in FIG. 6A, high-priority processing and low-priority processing (normal processing) are displayed in different manners, and high-priority processing is displayed conspicuously. This makes it possible to grasp the priority of each process at a glance. Further, the control section (variation display section) 51 may create a screen for displaying the variation state of the set temperature as shown in FIG. 6B and display it on the display section 55 . The screen shown in FIG. 6B displays changes in set temperature for each process (process related to an order) assigned to each machine in association with the machine ID of each machine. This makes it possible to grasp, at a glance, the change in the temperature set in the process to be performed by each machine.

In this embodiment, when assigning processing related to order information to a plurality of machines installed in a factory, a processing plan is created by assigning so that fluctuations in the set temperature of the processing assigned to each machine are small. can be done. When the set temperature is changed in each machine, it takes some time for the machine to operate stably after the set temperature is changed. On the other hand, when the fluctuation of the set temperature is small, that is, when the number of times the set temperature is changed is small, the time for the machine to operate stably increases, and the operator's operation required to change the setting becomes unnecessary. Operation errors are reduced. Therefore, by reducing the fluctuation of the installation temperature, the machine can efficiently perform processing, and the production efficiency and work efficiency of the machine can be improved. In addition, when assigning processing related to order information to each of a plurality of machines, the average temperature of the set temperature of the processing assigned to the multiple machines at the same time or in the same time period is calculated, and the average temperature at each time or each time period The assignment may be made so that the temperature variation is small. Also in this case, the machine can efficiently perform processing, and the production efficiency and work efficiency of the machine can be improved.

(Embodiment 2)
An allocation device for allocating objects to be processed by each machine to a plurality of machines used in a factory that manufactures aluminum sashes will be described. In addition, the plurality of machines of the present embodiment, for example, in an aluminum sash factory, heats a cylindrical billet formed of an aluminum alloy and applies high pressure to press it against a mold having a hole of a predetermined shape. It is a machine for forming elongated aluminum sashes having a cross section of a predetermined shape, and is a machine that includes a configuration for extruding (pressurizing) an aluminum alloy. Since the allocation device of this embodiment has the same configuration as the allocation device 50 of Embodiment 1, the same reference numerals are assigned to the same configurations, and the description thereof is omitted.

In this embodiment, the pressure (pressure condition) in pressure treatment is set for each machine instead of setting the temperature in heat treatment for each machine in the first embodiment. Therefore, the installation temperature in the first embodiment is read as the set pressure. For example, the order DB 52b of this embodiment has a set pressure column instead of the set temperature column in the order DB 52b shown in FIG. 2B. Also, the allocation DB 52c of this embodiment has a set pressure column instead of the installation temperature column in the allocation DB 52c shown in FIG. 2C.

The allocation device 50 of this embodiment performs the same processing as that shown in FIG. The received order information is stored in the order DB 52b. Further, the allocation device 50 of the present embodiment performs the same processing as the processing shown in FIG. and each order information assigned to each machine are associated with each other and stored in the assignment DB 52c.

The same effect as in the first embodiment can be obtained in this embodiment as well. Further, in this embodiment, when assigning a process related to order information to a machine whose pressure setting can be changed, such as a machine that forms aluminum sashes by extrusion, the set pressure of the process assigned to each machine is A processing plan can be developed by assigning so that fluctuations are small. When the set pressure is changed in each machine, it takes some time for the machine to operate stably after changing the set pressure. On the other hand, when the fluctuation of the set pressure is small, that is, when the number of times the set pressure is changed is small, the time for which the machine operates stably becomes longer, and the operator's operation required for changing the setting is not required. Operation errors are reduced. Therefore, with respect to the pressure set for each machine, by reducing the variation in the installed pressure, the machine can efficiently perform processing, and the production efficiency and work efficiency of the machine can be improved.

In Embodiment 1, the machine that performs the work related to each order is specified so that the temperature conditions in the heat treatment performed by the machine are almost constant (variation in the set temperature is small) in the preceding and subsequent processes (work). In the second embodiment, the machine that performs the work related to each order is specified so that the pressure conditions in the pressurization process performed by the machine are almost constant (variation in the set pressure is small) in the preceding and subsequent processes (work). . On the other hand, in a machine that performs pressure treatment and heat treatment at the same time, the work related to each order is performed so that the temperature conditions in heat treatment and the pressure conditions in pressure treatment are almost constant in the preceding and following treatments (work). You can assign a machine to do it. In this case, for example, a plurality of pairs of the temperature set as the temperature condition and the pressure value set as the pressure condition are prepared, and the pair of the temperature condition and the pressure condition are the same pair in the processing before and after. Machines may be assigned to work on each order (with less variability).

(Embodiment 3)
After the assignment device 50 of the first embodiment assigns each machine the processing (processing related to order information) to be performed by each machine, when each machine operates according to this processing plan, the operating status of each machine is managed. management system for FIG. 7 is a block diagram showing a configuration example of a management system. The management system of this embodiment is a system that manages the operating state of machines (first machine, second machine, etc.) used in, for example, a spinning factory. (power consumption) and the surface temperature (measured value) of the woven fabric or material to be processed, which fluctuates with the operation of each machine, is analyzed and managed.

The management system of this embodiment includes power consumption monitoring units 21a, 21b, . . . and surface temperature monitoring units 22a, 22b, . Hereinafter, the power consumption monitoring units 21a, 21b, . The units 22 may be collectively referred to as monitoring units 21 and 22 . Each of the power consumption monitoring unit 21 and the surface temperature monitoring unit 22 and the management device 10 are configured to be able to communicate with each other, and transmit and receive information. Note that each of the monitoring units 21 and 22 and the management device 10 may be configured to perform wired communication via a cable, or may be configured to perform wireless communication. Also, the monitoring units 21 and 22 and the management device 10 may be configured to be connectable to a network such as the Internet or a LAN, and transmit and receive information via the network. The monitoring units 21 and 22 are desirably battery-operated measuring instruments that operate on power from a built-in battery.

The power consumption monitoring unit 21 is provided for each machine in the factory. For example, by being attached to a supply line (power cable) that supplies power to each machine, the power consumption monitoring unit 21 measures the amount of power supplied to each device via the power cable. (power consumption) is measured (detected). The surface temperature monitoring unit 22 is provided for each machine in the factory, and measures (detects) the surface temperature of an object to be processed (fabric, cloth, etc.) heated by each machine, for example. The surface temperature monitoring unit 22 measures the surface temperature at at least one location on the object to be processed, but may be configured to measure the surface temperature at a plurality of locations. In addition, the surface temperature monitoring unit 22 may be configured to measure the surface temperature by contacting the surface of the processing object, measure the infrared rays emitted from the surface of the processing object, convert the measured amount of infrared rays into temperature, and process A thermo camera that acquires the surface temperature of the object may be used. The power consumption monitoring unit 21 and the surface temperature monitoring unit 22 are not limited to the configurations described above, and may be configured to measure the power consumption of each device and the surface temperature of the processing target in each device using other methods. Each of the monitoring units 21 and 22 measures the power consumption and the surface temperature at predetermined time intervals such as every several seconds or every several tens of seconds, and sends the measured power consumption and the surface temperature (measurement results) to the management device 10. Output. The monitoring units 21 and 22 each have a clock indicating absolute time (year/month/day/hour/minute/second), for example. It is output to the management device 10 together with the indicated absolute time (measurement date and time).

The management device 10 is an information processing device such as a personal computer, a tablet terminal, or a server computer. It is a terminal used by a person, etc. The management device 10 acquires and accumulates the power consumption of each machine from the power consumption monitoring unit 21, acquires and accumulates the surface temperature of the processing target of each machine from the surface temperature monitoring unit 22, and performs the accumulated Based on each piece of information, various information processing such as processing for analyzing the operating state of each device and processing for outputting analysis results is performed. A plurality of management apparatuses 10 may be provided and configured to perform distributed processing, or may be realized using a plurality of virtual machines or a cloud server provided in one server.

FIG. 8 is a block diagram showing a configuration example of the management device 10. As shown in FIG. The management device 10 includes a control section 11, a storage section 12, a communication section 13, an input section 14, a display section 15, a reading section 16, etc. These sections are interconnected via a bus. The configuration units 11 to 16 of the management device 10 have the same configurations as the configuration units 51 to 56 of the allocation device 50 of the first embodiment, so detailed description thereof will be omitted. The storage unit 12 of the management device 10 stores a business management application 12AP for the management device 10 to manage the operation status of each machine in the management system of this embodiment. The storage unit 12 also stores a worker DB 12a, a machine DB 12b, a work schedule DB 12c, an operation status DB 12d, and an operation history DB 12e, which will be described later. The worker DB 12a, the machine DB 12b, the work schedule DB 12c, the operating status DB 12d, and the operating history DB 12e may be stored in an external storage device connected to the management device 10, or may be stored in an external storage device with which the management device 10 can communicate. may

The communication unit 13 of the management device 10 includes an interface for communicating with the monitoring units 21 and 22 by wired communication or wireless communication, and receives measurement results sequentially transmitted from the monitoring units 21 and 22 . The communication unit 13 may also include an interface for connecting to a network such as the Internet or LAN. The control program 12P, the business management application 12AP, and various data stored in the storage unit 12 are stored in the portable storage medium 1a, and the control unit 11 reads from the portable storage medium 1a via the reading unit 16. It may be read and stored in the storage unit 12 . Also, the control program 12P, the business management application 12AP, and various data stored in the storage unit 12 may be downloaded from an external device by the control unit 11 via the communication unit 13 and stored in the storage unit 12 . Furthermore, the control program 12P, the business management application 12AP, and various data may be stored in the semiconductor memory 1b, and the control unit 11 may read them from the semiconductor memory 1b and store them in the storage unit 12. FIG.

9 and 10 are schematic diagrams showing configuration examples of the DBs 12a to 12e stored in the management device 10. FIG. 9A shows the worker DB 12a, FIG. 9B shows the machine DB 22b, FIG. 9C shows the work schedule DB 12c, FIG. 10A shows the operation status DB 12d, and FIG. 10B shows the operation history DB 12e. The worker DB 12a stores information about workers who work in a factory provided with a management system. The worker DB 12a shown in FIG. 9A includes a worker ID column, a name column, an age column, a length of service column, a department column, and the like. The worker ID column stores identification information assigned in advance to each worker. , length of service, and department to which the employee belongs. The worker ID stored in the worker DB 12 a is issued and stored by the control unit 11 when the control unit 11 acquires new worker information via the input unit 14 or the communication unit 13 . Each information other than the worker ID stored in the worker DB 12a is added, changed, or deleted by the control unit 11 each time the control unit 11 acquires an instruction to add, change, or delete via the input unit 14 or the communication unit 13. Deleted. The contents stored in the worker DB 12a are not limited to the example shown in FIG. 9A, and various types of information regarding workers can be stored.

The machine DB 12b stores information about machines installed in a factory with a management system. The machine DB 12b shown in FIG. 9B includes a machine ID column, a model number column, a manufacturing date column, an operating years column, a power consumption monitoring unit ID column, a surface temperature monitoring unit ID column, and the like. The machine ID column stores identification information assigned in advance to each machine, and the model number column, manufacturing year/month column, and operating years column correspond to the machine ID, and each machine's model number, manufacturing year/month, and operating years are stored. Remember. The power consumption monitor ID column stores identification information assigned in advance to the power consumption monitor 21 provided in association with each machine in association with the machine ID, and the surface temperature monitor ID column corresponds to the machine ID. In addition, identification information assigned in advance to the surface temperature monitoring unit 22 provided in association with each machine is stored. The machine ID stored in the machine DB 12b is issued and stored by the control section 11 when the control section 11 acquires new machine information via the input section 14 or the communication section 13 . The model number, date of manufacture, and years of operation stored in the machine DB 12b are added or changed by the control unit 11 each time the control unit 11 acquires an addition or change instruction via the input unit 14 or the communication unit 13. The power consumption monitoring unit ID and the surface temperature monitoring unit ID stored in the machine DB 12b are installed in association with the respective machines by the monitoring units 21 and 22, respectively, and the control unit 11 inputs them via the input unit 14 or the communication unit 13. The addition or change is performed by the control unit 11 when the addition or change instruction is acquired. The storage contents of the machine DB 12b are not limited to the example shown in FIG. 9B, and can store various types of information about machines such as the location (placement area) of each machine in the factory.

The work schedule DB 12c stores information on work scheduled for each machine. The work schedule DB 12c shown in FIG. 9C includes a machine ID column, a work ID column, a scheduled start date/time column, a scheduled end date/time column, a worker ID column, and the like. The machine ID column stores the identification information of each machine, and the machine ID registered in the machine DB 12b is used as the machine ID of each machine. The work ID column stores identification information assigned to each work to be performed using the machine, and the scheduled start date/time column, scheduled end date/time column, and worker ID column are associated with the machine ID and the work ID, respectively, to identify each work. , and the worker ID of the worker (person in charge) who is in charge of each work. Machine IDs stored in the work schedule DB 12c are stored in advance. The work ID, the scheduled start date and time, the scheduled end date and time, and the worker ID stored in the work schedule DB 12c are acquired by the control unit 11 via the input unit 14 or the communication unit 13 from information on new work scheduled for each machine. When it does, it is stored by the control unit 11 . The storage contents of the work schedule DB 12c are not limited to the example shown in FIG. 9C, and can store various information related to work assigned to the machine. For example, for each work, set values for parameters that can be set for the machine (for example, set temperature when heating the processing target), product number, product name, product type, orderer of the product manufactured by the work company information, etc. may be stored. The work here may be work related to one order, or may include work related to a plurality of orders.

The operating status DB 12d stores information on the operating status of each machine. The operating status DB 12d shown in FIG. 10A includes a machine ID column, a work ID column, a work start date/time column, a work end date/time column, a power consumption column, a surface temperature column, and the like. The machine ID column stores the identification information of each machine, and the machine ID registered in the machine DB 12b is used as the machine ID of each machine. The work ID column stores the identification information assigned to each work performed using the machine, and the work start date and time column and the work end date and time column are associated with the machine ID and the work ID, respectively, and indicate when each work is actually started. It stores the date and time when it started and the date and time when it ended. The power consumption column stores information about the power consumption of the machine acquired from the power consumption monitoring unit 21 provided corresponding to the machine, in association with the machine ID and the work ID. Specifically, the power consumption column includes a date and time column and a power amount column, and the date and time column and the power amount column respectively indicate the date and time when the power consumption monitoring unit 21 measured the power consumption in the machine and the measurement result (power amount). Remember. The surface temperature column stores information about the surface temperature of the processing target acquired from the surface temperature monitoring unit 22 provided corresponding to the machine, in association with the machine ID and the work ID. Specifically, the surface temperature column includes a date and time column and a temperature column, and the date and time column and the temperature column respectively store the measurement date and measurement result (temperature) when the surface temperature monitoring unit 22 measures the surface temperature of the processing target. . As a result, the operation status DB 12d can accumulate the power consumption of each machine as time-series data, and can accumulate the surface temperature of the processing target of each device as time-series data.

In addition, as the measurement date and time of the power consumption and the surface temperature, the power consumption monitoring unit 21 and the surface temperature monitoring unit 22 use the measurement date and time output to the management device 10 together with the measurement results. It may be the acquisition date and time when the measurement result is acquired from the temperature monitoring unit 22 . As for the power consumption and the surface temperature, waveform data indicating time-series changes in the power consumption and the surface temperature may be stored in a predetermined area of the storage unit 12 or an external storage device connected to the management device 10 . In this case, the power consumption column and the surface temperature column may store information (for example, a file name indicating a data storage location) for reading waveform data indicating time-series changes in power consumption and surface temperature. Machine IDs stored in the operating status DB 12d are stored in advance. The work ID and work start date and time stored in the operation status DB 12d are stored by the control unit 11 when each machine starts work based on the contents stored in the work schedule DB 12c. is stored by the control unit 11 when the The power consumption and surface temperature information stored in the operating status DB 12d is stored by the control unit 11 each time the control unit 11 acquires power consumption and surface temperature information from the monitoring units 21 and 22 via the communication unit 13. be done. The storage contents of the operation status DB 12d are not limited to the example shown in FIG. 10A, and can store various information regarding the operation status of the machine. For example, for each task, set values for parameters that can be set for the machine may be stored.

The operation history DB 12e stores information regarding the operation history of each machine analyzed based on the information accumulated in the operation status DB 12d. The operation history DB 12e shown in FIG. 10B includes a machine ID column, a work ID column, a worker ID column, an interruption state information column, and the like. The machine ID column stores the identification information of each machine, and the machine ID registered in the machine DB 12b is used as the machine ID of each machine. The work ID column stores the identification information of each work performed using the machine in association with the machine ID, and the work ID stored in the work schedule DB 12c is used as the work ID of each work. The worker ID column stores the identification information of each worker in association with the machine ID and work ID, and the worker ID registered in the worker DB 12a is used as the worker ID of each worker. The suspended state information column stores information related to a situation in which it is determined that the machine has suspended processing (operation) during work, in association with the machine ID and the work ID. Specifically, the suspended status information column includes a status ID column, a start date/time column, an end date/time column, and a cause column, and the status ID column is an identifier assigned to each situation (state) determined to be a suspended state. Store information. The start date and time column and the end date and time column respectively store the start date and time when the machine was determined to be in the suspended state and the end date and time when the suspended state was canceled and normal operation was resumed. The factor column stores information relating to factors (causes) that caused the machine to be in an interrupted state. The factor column may store each factor, or may store identification information assigned to each factor. As a result, the operation history DB 12e stores (accumulates) the start date and time, the end date and time, and the cause of the interrupted state that occurred during each work in each machine.

The machine ID, work ID, and worker ID stored in the operation history DB 12e are stored by reading out the machine ID, work ID, and worker ID stored in association with the operation status DB 12d by the control unit 11. . The interrupted state information stored in the operation history DB 12e is based on the power consumption and surface temperature information accumulated in the operating state DB 12d. It is stored by the control unit 11 when the processing is performed. It should be noted that the process of detecting whether or not an interrupted state has occurred by the control unit 11 can be performed at an arbitrary timing after each work is completed. The storage contents of the operation history DB 12e are not limited to the example shown in FIG. 10B.

Processing performed by the management device 10 having the above configuration will be described below. FIG. 11 is a flow chart showing an example of the procedure of accumulation processing of the measurement results of the monitoring units 21 and 22 by the management device 10. As shown in FIG. The following processing is executed by the control unit 11 according to the control program 12P and the business management application 12AP stored in the storage unit 12 of the management device 10. FIG. In the management system of the present embodiment, the power consumption monitoring unit 21 measures the amount of power (power consumption) supplied to each corresponding machine every time a predetermined period of time elapses. and the power consumption monitoring unit ID of itself (the power consumption monitoring unit 21) is output to the management apparatus 10. FIG. Similarly, the surface temperature monitoring unit 22 measures the surface temperature of the processing target processed by each corresponding machine every time a predetermined time elapses, and measures the date and time of measurement, the measurement result (surface temperature), and the temperature of itself (surface temperature monitoring unit 22). Measurement information including the surface temperature monitoring unit ID is output to the management device 10 . In addition, for each machine, the details of work to be performed (scheduled start date and time of work, scheduled end date and time of work, and workers in charge) are determined, and assigned to each machine in the work schedule DB 12c as shown in FIG. 9C. It is assumed that information related to the work performed is stored.

The control unit 11 of the management device 10 determines whether or not there is work to be started for each machine based on the contents stored in the work schedule DB 12c (S11). In step S11, the control unit 11 determines whether or not the scheduled start date and time of each work for each machine stored in the work schedule DB 12c has arrived (elapsed). Determine that there is work to be done. When determining that there is work to be started (S11: YES), the control unit 11 stores work information regarding the work to be started in the operation status DB 12d (S12). In step S12, the control unit 11 stores the work ID of the work to be started and the current date and time (work start date and time) in the operation status DB 12d in association with the machine ID of the machine to be started. When determining that there is no work to be started (S11: NO), the control unit 11 skips the processing of step S12.

The control unit 11 determines whether or not the communication unit 13 has acquired measurement information output from either the monitoring unit 21 or 22 (S13), and if it determines that the measurement information has been acquired (S13: YES), the machine corresponding to the acquired measurement information is specified (S14). In step S14, the control unit 11 identifies the machine to be monitored by the monitoring units 21 and 22 that have measured the acquired measurement information. Specifically, the control unit 11 extracts the power consumption monitoring unit ID or the surface temperature monitoring unit ID included in the acquired measurement information, and determines the machine (machine ID) corresponding to the extracted monitoring unit ID based on the machine DB 12b. to identify. Next, the control unit 11 identifies the work corresponding to the acquired measurement information (S15). In step S15, the control unit 11 identifies the work that was being executed by the monitored machine when the monitoring units 21 and 22 acquired the measurement information. Specifically, the control unit 11 extracts the measurement date and time included in the acquired measurement information, and the extracted measurement date and time and the work start date and time of each work stored in the operation status DB 12d for the machine identified in step S14. , the work (work ID) corresponding to the extracted measurement date and time is specified.

The control unit 11 associates the machine ID of the machine identified in step S14 with the work ID of the work identified in step S15, and stores (accumulates) the acquired measurement information in the operation status DB 12d (S16). In step S16, the control unit 11 extracts the measurement date and time and the measurement result (power consumption or surface temperature) included in the acquired measurement information, associates the extracted measurement date and time and the measurement result, and stores them in the operation status DB 12d. The control unit 11 performs the processing of steps S14 to S16 each time it acquires measurement information from each of the monitoring units 21 and 22 . As a result, the amount of power supplied to each machine measured by the power consumption monitoring unit 21 that monitors each machine, and the surface temperature of the object processed by each machine measured by the surface temperature monitoring unit 22 that monitors each machine. are stored in the operating status DB 12d as operating information indicating the operating status of each machine.

If it is determined that the measurement information output from the monitoring units 21 and 22 has not been acquired (S13: NO), the control unit 11 skips the processing of steps S14 to S16 and checks whether there is any finished work. It judges (S17). In step S17, the control unit 11 is configured to acquire end information about the completed work via, for example, the communication unit 13 or the input unit 14. When the end information is acquired, it is determined that there is completed work. do. In addition, when the scheduled work is completed, the worker who operates each machine can, for example, use the operation unit provided in the machine, the terminal assigned to him/herself, or the input unit 14 of the management device 10. Enter Therefore, the control unit 11 can acquire end information of each work via the communication unit 13 or the input unit 14 . When it is determined that there is finished work (S17: YES), the control unit 11 stores the work end date and time in the operation status DB 12d in association with the machine ID of the machine that finished the work and the work ID of the finished work. (S18). The work end date and time may be included in the end information acquired by the control unit 11 via the communication unit 13 or the input unit 14, or may be the date and time when the control unit 11 acquires the end information. . If it is determined that there is no finished work (S17: NO), the control unit 11 skips the process of step S18 and returns to the process of step S11.

By the above-described processing, if there is work to be started, the control unit 11 stores the work information of this work in the operation status DB 12d, and each time measurement information is acquired from one of the monitoring units 21 and 22, The measurement information is stored in the operation status DB 12d, and if there is a finished task, the date and time when the task ended is stored in the operation status DB 12d. As a result, time-series data of the amount of electric power supplied to each machine and time-series data of the surface temperature of the processing target of each machine are accumulated in the operation status DB 12d as operation information indicating the operation status of each work for each machine. be done.

FIG. 12 is a flow chart showing an example of the procedure of analysis processing of the operation history of each machine by the management device 10, and FIG. The following processing is executed by the control unit 11 according to the control program 12P and the business management application 12AP stored in the storage unit 12 of the management device 10. FIG. The control unit 11 of the management device 10 performs the following processing for the work completed in each machine. The completed work is, for example, a work whose work end date and time is stored in the operation status DB 12d.

The control unit (electric energy acquisition unit, measurement value acquisition unit) 11 of the management device 10 reads the operation information regarding the finished work from the operation status DB 12d (S21). In step S21, the control unit 11 reads the machine ID, work ID, information on power consumption (time-series data of power consumption), and information on surface temperature (time-series data of surface temperature) for one work from the operation status DB 12d. , the worker ID corresponding to the read machine ID and work ID is read from the work schedule DB 12c. Based on the read operation information, the control unit 11 stores the operation details of this work in the operation history DB 12e (S22). In step S22, the control unit 11 stores the read work ID and worker ID in the operation history DB 12e in association with the read machine ID.

The lower graph in FIG. 13 shows the time-series data of power consumption, and the time-series data of power consumption is shown with the horizontal axis as time and the vertical axis as power consumption. The three graphs on the upper side of FIG. 13 respectively show time-series data of the surface temperature of the processing target of the machine, and the time-series data of the surface temperature are shown with the horizontal axis as time and the vertical axis as temperature. In the example shown in FIG. 13, the surface temperature is measured (monitored) at three locations on the processing target of the machine, but the number of surface temperature measurement locations is not limited to this.

The control unit (power fluctuation acquisition unit) 11 acquires fluctuation information indicating fluctuations in the amount of power supplied to the machine (power consumption) during this work, based on the time-series data of the power consumption read from the operation status DB 12d. (S23). In step S<b>23 , the control unit 11 compares previous and subsequent power consumption amounts in the time-series data of power consumption amounts, and sequentially calculates differences (fluctuations) from previous power consumption amounts. Note that the control unit 11 may calculate an average value of a predetermined number of consecutive power consumptions, and calculate the difference between the calculated average value and the next power consumption as the variation information. In addition, the control unit (measurement value fluctuation acquisition unit) 11 acquires fluctuation information indicating fluctuations in the surface temperature of the processing target in this work based on the time-series data of the surface temperature of the processing target read from the operation status DB 12d ( S24). In step S<b>24 , the control unit 11 compares the surface temperatures before and after the time-series data of the surface temperature, and sequentially calculates the difference (fluctuation) from the previous surface temperature. Note that the control unit 11 may calculate an average value of a predetermined number of consecutive surface temperatures, and calculate the difference between the calculated average value and the next surface temperature as the variation information.

The control unit (analysis unit) 11 determines whether or not an interrupted state has occurred during this work based on the variation information of the power consumption acquired in step S23 and the variation information of the surface temperature acquired in step S24. Judgment (analysis) is made (S25). In step S25, the control unit 11 determines that the machine is operating normally and is in a normal state when the amount of change in power consumption and the amount of change in surface temperature are each less than a predetermined value. In addition, the control unit 11 determines that the machine does not operate normally when the amount of variation in power consumption is greater than or equal to a predetermined value, or when the amount of variation in surface temperature is greater than or equal to a predetermined value (that is, when an abnormal variation occurs). It is judged to be in a suspended state where the work is suspended because there is no work. In the case of a machine that heats the object to be processed, if the worker is working normally (operating the machine), the amount of power supplied to the machine (the amount of power consumed by the machine) will be approximately constant. The surface temperature of the object to be treated also becomes a substantially constant value. On the other hand, if the worker cannot work normally for some reason, the amount of power supplied to the machine will fluctuate, and the surface temperature of the object to be processed will also fluctuate. For example, when some kind of trouble occurs, the operator stops the operation of the machine or turns off the power of the machine. In this case, the power consumption of the machine drops sharply. Therefore, when the fluctuation amount of the power consumption of the machine exceeds a predetermined value, it can be determined that the work by the machine is suspended. In addition, when some trouble occurs and the woven fabric or the like to be treated stagnate in the machine, the same portion continues to be heat-treated, so the surface temperature of the treated object rises above the set temperature. Conversely, if the woven fabric, material, or the like to be treated is not properly heated, the surface temperature of the treated object will not rise to the set temperature. Therefore, when the amount of variation in the surface temperature of the processing target exceeds a predetermined value (when an abnormal variation occurs), it can be determined that the work by the machine is suspended.

When determining that an interrupted state has occurred (S25: YES), the control unit (factor identifying unit) 11 identifies (analyzes) the cause of the interrupted state that has occurred (S26). In step S<b>26 , the control unit 11 identifies the cause of the interrupted state, for example, based on the power consumption fluctuation state and the surface temperature fluctuation state determined to be the interrupted state. In steps S25 and S26, the control unit 11 performs, for example, a template matching technique to determine whether or not an interrupted state has occurred during work, and to identify the cause of the interrupted state that has occurred. Specifically, for each cause of the suspension state, a template based on general fluctuation information (fluctuation waveform) of power consumption that occurs in the power consumption of the machine when the suspension state occurs due to each factor, A template based on general surface temperature fluctuation information (fluctuation waveform) occurring in the surface temperature is stored in advance in the storage unit 12 . Then, the control unit 11 detects whether or not the variation information of the power consumption acquired in step S23 includes a variation waveform matching any of the templates, and also detects whether or not the variation waveform of the surface temperature acquired in step S24 is included. contains a fluctuating waveform that matches any of the templates. When the control unit 11 detects a variation waveform that matches a template in the power consumption variation information and/or the surface temperature variation information, the control unit 11 determines that an interrupted state has occurred, and further responds to the matching template. The attached factor is specified as the cause of the detected interrupted state.

Factors of the interrupted state include, for example, operator's operation error, operator's lack of morals, and the like. The interrupted state due to operator error is, for example, an interrupted state caused by an operator's error in setting the set temperature. In this case, the power consumption and the surface temperature of the object to be processed fluctuate step by step. In addition, an interrupted state due to a lack of worker morals includes, for example, an interrupted state in which it takes time to resume work when some kind of trouble occurs and the work is interrupted. Also, the time required for the surface temperature of the object to be treated to return to a normal value is not less than a predetermined time (is equal to or longer than the predetermined time). In this way, each occurrence factor has characteristics that occur in fluctuations in power consumption and surface temperature, and based on such characteristics, the occurrence factor of the interrupted state can be specified. The cause of the interrupted state is not limited to the above examples. Note that in steps S25 and S26, the control unit 11, instead of determining the occurrence of the interruption state based on the fluctuation information of the power consumption amount and the fluctuation information of the surface temperature, determines that the amount of power consumption obtained from the monitoring units 21 and 22 is Occurrence of the interrupted state may be determined based on the series data and the time series data of the surface temperature.

Further, in step S26, the control unit 11 may specify whether the interrupted state is not caused by a worker's mistake or the like when specifying the cause of the interrupted state. Interrupted states not caused by operator error or the like include, for example, interrupted states caused by setting changes due to lot switching, interrupted states caused by momentary power interruptions or power failures, and the like. Specifically, for example, when the period during which the power consumption of the machine becomes 0 is less than a predetermined period, the control unit 11 determines that the state is an interruption state due to lot switching or an interruption state due to an instantaneous power interruption or power failure. You may Further, the control unit 11 may perform processing for determining whether or not each interruption state is an interruption state due to lot switching, an interruption state due to an instantaneous power interruption, or a power failure, using a template matching technique.

By the above-described processing, the control unit 11 determines that the moment indicated by arrow 1 in the time-series data shown in FIG. It is determined that the suspended state is caused by a mistake. Further, the control unit 11 judges that the time point indicated by arrow 3 is the interrupted state caused by lot switching, and the time point indicated by arrow 4 is the interrupted state caused by the operator's operation error.

For the detected suspended state, the control unit 11 generates information indicating the suspended state and stores it in the operation history DB 12e (S27). In step S<b>27 , the control unit 11 extracts the start date and time and the end date and time of the detected suspended state from the power consumption variation information and the surface temperature variation information. Then, the control unit 11 issues a state ID, associates the state ID, the extracted start date and time, the end date and time, and the factor identified in step S26, and stores them in the operation history DB 12e as interruption state information. Note that, if the control unit 11 determines in step S26 that the interrupted state is not caused by a worker's mistake or the like, the control unit 11 may be configured not to store the interrupted state information regarding this interrupted state in the operation history DB 12e. The operation history (interruption state information) stored in the operation history DB 12e can be used when evaluating the work content of each worker and the operation content of each machine. Therefore, by not storing in the operation history DB 12e the information of the interrupted state that is not caused by the worker's mistake, etc., the information used when evaluating the work content of each worker and the operation content of each machine can be used to determine whether the worker's mistake etc. can be excluded. Interrupted state information related to interrupted states not caused by worker mistakes may be stored in the operation history DB 12e. In this case, for example, each worker can measure the time required for lot switching, so The work content of the worker can be evaluated based on the length of time. When the control unit 11 determines that the interrupted state has not occurred (S25: NO), it skips the processing of steps S26 and S27.

The control unit 11 performs processing for detecting the presence or absence of an interrupted state in order from the beginning of the variation information on the variation information on the power consumption acquired in step S23 and the variation information on the surface temperature acquired in step S24. Then, it is determined whether or not the processing has been performed to the end of the variation information (S28). If it is determined that the process has not been performed to the end of the variation information (S28: NO), the control unit 11 returns to the process of step S25 and continues the process of determining whether or not an interrupted state has occurred during this work. do. If it is determined that the process has been completed to the end of the variation information (S28: YES), the control unit 11 determines whether all the work to be analyzed has been processed based on the operation information stored in the operation status DB 12d. (S29). If it is determined that all the work to be analyzed has not been processed (S29: NO), the control unit 11 returns to the process of step S21, and obtains the work information regarding the unprocessed work from the work status DB 12d. Readout (S21) and processing of steps S22 to S28 are performed. If it is determined that all the work to be analyzed has been processed (S29: YES), the control section 11 ends the process. As a result, based on the power consumption of each machine monitored by the monitoring units 21 and 22 and the surface temperature of the processing target accumulated in the operation status DB 12d, it is possible to detect whether or not there is an interruption during work. When it occurs, information about the interrupted state can be accumulated in the operation history DB 12e.

FIG. 14 is a flow chart showing an example of the procedure of display processing of analysis results by the management device 10, and FIGS. 15 and 16 are schematic diagrams showing examples of screens. The following processing is executed by the control unit 11 according to the control program 12P and the business management application 12AP stored in the storage unit 12 of the management device 10. FIG. For example, when receiving an instruction to execute the business management application 12AP via the input unit 14, the control unit 11 of the management device 10 starts (executes) the business management application 12AP (S41). When the business management application 12AP is started, the control unit 11 displays the initial screen shown in FIG. 15A on the display unit 15 (S42). The initial screen shown in FIG. 15A is a selection screen for selecting an object to be analyzed, and displays an analysis button for each worker and an analysis button for each machine. The analysis by worker button is a button operated when instructing the execution of analysis processing on the work history for each worker, and the analysis by machine button is for instructing the execution of analysis processing on the operation history for each machine. This button is used when

The user of the management device 10 selects an analysis button for each worker or an analysis button for each machine on the input unit 14 depending on whether the analysis process is to be executed for each worker or for each machine. The control unit 11 determines whether or not an instruction to perform analysis by worker has been received via the input unit 14 (S43), and when it is determined that an instruction to perform analysis by worker has been received (S43: YES). , the worker selection screen shown in FIG. 15B is displayed on the display unit 15 (S44). The selection screen shown in FIG. 15B has an input column for inputting the worker ID of the worker to be analyzed. pull-down menu is set. The user of the management device 10 inputs the worker ID of the worker whose work state is to be analyzed in the input field from the pull-down menu on the worker selection screen. The control unit 11 receives the worker selected by the input field (S45).

The control unit (person in charge information acquisition unit) 11 reads information on the work history (machine operation history) of the selected worker from the operation history DB 12e (S46). In step S46, the control unit 11 reads the machine ID, work ID, and interruption state information corresponding to the worker ID of the selected worker from the operation history DB 12e. Then, based on the read work history information, the control unit 11 generates a work history screen (evaluation information) for displaying the work history as shown in FIG. 15C (S47). The work history screen shown in FIG. 15C displays a graph showing changes in the number of occurrences of interruptions for each work day. When generating the work history screen shown in FIG. 15C, in step S47, the control unit (calculation unit) 11 counts the number of occurrences of the interruption state for each work day based on the interruption state information read from the operation history DB 12e. , a graph showing the counted number of occurrences of the interrupted state for each working day is generated, and a display screen for displaying the generated graph is generated. In addition to the graph showing the change in the number of occurrences of the interrupted state in each work day, a work history screen may be generated that displays a graph showing the change in the total duration of the interrupted state in each work day. In this case, the control unit (calculation unit) 11 measures the duration of the suspended state for each work day based on the suspended state information read from the operation history DB 12e, and measures the duration of the suspended state for each work day. is generated, and a display screen for displaying the generated graph is generated.

The control unit 11 displays the generated work history screen (analysis result) on the display unit 15 (S48). By displaying such a work history screen, it is possible to grasp the transition of the number of occurrences and the duration of the interrupted state during work for each work day for each worker. Therefore, for each worker, it is possible to display (output) the analysis result obtained by analyzing the work content based on the operating state of the machine.

When the control unit 11 determines in step S43 that an instruction to execute analysis by worker has not been received (S43: NO), that is, when an instruction to execute analysis by machine has been received, the machine selection screen shown in FIG. 16A is displayed. It is displayed on the display unit 15 (S49). The selection screen shown in FIG. 16A has an input field for entering the machine ID of the machine to be analyzed, and the input field has a pull-down menu for selecting any one machine ID from a plurality of machines. is set. The user of the management device 10 inputs the machine ID of the machine whose operating state is to be analyzed in the input field from the pull-down menu on the machine selection screen. The control unit 11 receives the machine selected by the input field (S50).

The control unit 11 reads information on the operation history of the selected machine from the operation history DB 12e (S51). In step S51, the control unit 11 reads the interruption state information corresponding to the machine ID of the selected machine from the operation history DB 12e. Then, the control unit 11 generates an operation history screen (evaluation information) for displaying the operation history, as shown in FIG. 16B, based on the read operation history information (interruption state information) (S52). The operation history screen shown in FIG. 16B has the same configuration as the work history screen shown in FIG. 15C, and displays a graph showing the transition of the number of occurrences of the interrupted state for each work day. When generating the operation history screen shown in FIG. 16B, in step S52, the control unit 11 counts the number of occurrences of the interruption state for each work day based on the interruption state information read from the operation history DB 12e, and A graph showing the number of occurrences of the interrupted state in the working day is generated, and a display screen for displaying the generated graph is generated. In addition to the graph showing the change in the number of occurrences of the interrupted state in each work day, an operation history screen may be generated that displays a graph showing the change in the total duration of the interrupted state in each work day. In this case, the control unit 11 measures the duration of the suspended state for each work day based on the suspended state information read from the operation history DB 12e, and creates a graph showing the measured duration of the suspended state for each work day. Generate a display screen to display the generated graph.

The control unit (output unit) 11 displays the generated operation history screen on the display unit 15 (S53). By displaying such an operation history screen, it is possible to grasp changes in the number of occurrences and duration of interruptions during operation of each machine for each working day. Therefore, for each machine, it is possible to display (output) an analysis result obtained by analyzing the operating state of the machine.

In this embodiment, each process is assigned to each machine installed in the factory so that fluctuations in the energy consumption (power consumption and surface temperature of the object to be processed) of the machine are reduced. Each machine is operated according to the treatment plan assigned in this way, and for each machine, the time-series fluctuations in the amount of power supplied (power consumption) and the time-series fluctuations in the surface temperature of the object to be treated are monitored. Based on this, the running state of the machine can be analyzed. Specifically, based on time-series fluctuations in the power consumption of each machine and time-series fluctuations in the surface temperature of the object to be treated, it is possible to determine whether each machine is performing normal processing (work) or not. Determine whether (work) is interrupted. For example, when the variation in power consumption is less than a predetermined value and the variation in surface temperature of the object to be processed is less than a predetermined value, it is determined that the machine is performing normal processing. It is known that when fluctuations in power consumption are small, the total power consumption can be reduced and energy saving can be achieved. Also, if the power consumption and surface temperature fluctuations in each machine are small, there is a high possibility that the set values (temperature conditions in heat treatment) in each machine will be changed (lot switching) less frequently. When the setting value is changed in each machine, it takes some time for the machine to operate stably after changing the setting value. On the other hand, if the set value is changed less frequently, the machine can operate stably for a longer period of time, and the operator's operation error for changing the set value is eliminated, thereby reducing operator error. Therefore, when the power consumption and surface temperature fluctuations in each machine are small, it can be determined that the processing is being performed efficiently in each machine. Therefore, it is possible to analyze the working efficiency of each worker and the production efficiency of each machine based on the variation in power consumption and the variation in surface temperature.

In this embodiment, it is possible to analyze the operating state and production efficiency of each machine based on a small number of indexes such as fluctuations in power consumption and fluctuations in surface temperature of the processing target. When analyzing the operating state of a machine, the internal data of the machine is often used. You can analyze the operating state. Also, by managing the workers who operate each machine, it is possible to analyze the work content and work efficiency of each worker based on the operating state of each machine. Therefore, it is possible to evaluate the operating state and production efficiency analyzed for each machine, and the work content and work efficiency analyzed for each worker. In addition, based on the analysis results (for example, causes of interruption of work), it is possible to give advice on points to be improved, and to support improvement of future production efficiency and work efficiency. The power consumption of the machine can be measured (detected) by, for example, attaching the power consumption monitor 21 to the power supply line (power cable). Measurement (detection) can be performed without contact with the surface of the processing target. Therefore, when introducing the monitoring system of this embodiment into a factory, the power consumption of the machine and the surface temperature of the object to be processed can be monitored without increasing the work load on the factory side and without interfering with the operation of the machine. Since it can be detected, the monitoring system of this embodiment can be easily introduced into the factory.

In this embodiment, it is possible to identify the cause of the interrupted state that occurred during the work of each machine. Therefore, it is possible to generate a screen displaying not only the analysis result for each worker as shown in FIG. 15C and the analysis result for each machine as shown in FIG. 16B but also the analysis result for each cause. In this case, for example, the control unit 11 receives a selection of one of a plurality of occurrence factors via the input unit 14, and based on the interruption state information read from the operation history DB 12e, for the selected occurrence factor, for each work day Generate a graph that shows the transition of the number of occurrences and duration of interruptions. As a result, it is possible to grasp the transition of the number of occurrences and the duration of the interrupted state caused by each occurrence factor. In addition, in this embodiment, evaluation information (score) for each worker's work state can be calculated based on the number of occurrences and duration of interrupted states, for example, and an evaluation ranking of workers can be generated. Similarly, it is also possible to calculate evaluation information (score) for the operating state of each machine and generate an evaluation ranking of the machines.

In this embodiment, since the operating state can be analyzed for each machine, detailed analysis for each machine and detailed analysis for each worker are possible. In addition, the operating state may be analyzed for each area in the factory, or the operating state of the entire factory may be analyzed. When analyzing for each area, for example, the management device 10 calculates the total fluctuation value of the power consumption of the machines installed in each area, and acquires the time-series data of the total fluctuation value. The management device 10 also calculates the total variation value of the surface temperature of the processing target of the machines installed in each area, and acquires the time-series data of the total variation value. Then, the management device 10 determines whether or not the total power consumption fluctuation value and the total surface temperature fluctuation value are less than predetermined values. It may be determined that it is in a normal state in which it is operating normally. Similarly, the total variation in power consumption of all machines installed in the factory (total time-series data) is calculated, and the total variation in surface temperature of all machines to be processed (total time-series data) is calculated. ). Then, the management device 10 determines whether or not the total power consumption variation value and the surface temperature variation value in the entire factory are less than predetermined values. It may be determined that the machine is in normal working order.

In this embodiment, the work history screen shown in FIG. 15C may be configured so that, for example, when a superior or a senior gives some advice to the worker, the date of the advice and the content of the advice can be registered. . For example, an input column for inputting a date and advice content is provided on the work history screen, and the control unit 11 of the management device 10 inputs the date and advice content to the input column of the work history screen being displayed via the input unit 14. accept. The control unit 11 stores the received date and the advice content in association with each other in the storage unit 12, and displays the advice content in association with the date when displaying the work history screen. As a result, it is possible to grasp the change in the number of occurrences of interruptions before and after giving advice to this worker in the number of occurrences of interruptions displayed on the work history screen. It is possible to judge (evaluate) whether or not the problem has been improved. For example, if the number of interrupted states decreased after giving advice, it is highly likely that the worker improved the work content according to the advice of his superior. likely to ignore the advice of Therefore, based on such information, the work content of each worker can be evaluated.

Similarly, the operation history screen shown in FIG. 16B may be configured so that, for example, when maintenance is performed on this machine, the maintenance date and maintenance details can be registered. For example, the operation history screen is provided with input fields for entering the date and maintenance details, and the control unit 11 of the management device 10 inputs the date and maintenance details to the input fields of the operation history screen being displayed via the input unit 14. accept. The control unit 11 associates the received date with the maintenance content and stores them in the storage unit 12, and displays the maintenance content in association with the date when displaying the operation history screen. As a result, the change in the number of occurrences of interruptions before and after maintenance was performed on this machine can be grasped from the number of occurrences of interruptions displayed on the operation history screen. It is possible to determine (evaluate) whether or not the problem has been improved.

In this embodiment, in addition to determining whether each machine is performing normal processing or is in an interrupted state based on fluctuations in the power consumption of each machine and fluctuations in the surface temperature of the processing target, the power consumption It is also possible to determine whether or not the state is interrupted based only on the variation of . In this case, only the power consumption monitoring unit 21 is provided in association with each machine, and the management device 10 allows each machine to perform normal processing based on fluctuations in the power consumption of each machine monitored by the power consumption monitoring unit 21. It may be determined whether it is running or suspended. Further, in the present embodiment, the allocation device 50 and the management device 10 are described as separate devices, but the processing performed by the allocation device 50 and the management device 10 may be realized by one device.

(Embodiment 4)
After the processing (processing related to order information) to be performed by each machine is assigned to each machine that performs pressure processing by the assigning device 50 of the second embodiment, when each machine operates according to this processing plan, each A management system that manages the operating status of machines will be described. The management system of this embodiment can monitor the operation status of each machine in the factory by determining the amount of power supplied to each machine (power consumption) and the pressure in the pressurization process that varies (changes settings) along with the operation of each machine. Analyze and manage based on values (set values).

FIG. 17 is a block diagram illustrating a configuration example of a management system according to the fourth embodiment; The management system of this embodiment includes setting value monitoring units 23a, 23b, . The rest of the configuration is the same as that of the third embodiment, and similar configurations are denoted by the same reference numerals, and descriptions thereof are omitted. In the following description, the set value monitoring units 23a, 23b, . . . Each of the setting value monitoring units 23 is configured to be able to communicate with the management device 10 by wired communication or wireless communication, and may be configured to communicate with the management device 10 via a network. The monitoring unit 23 is desirably a battery-powered measuring instrument that operates on power from a built-in battery.

The set value monitoring unit 23 is provided for each machine in the factory, and monitors (detects) the pressure condition (pressure value) set for the pressurizing process performed by each machine, for example. The setting value monitoring unit 23 may be provided inside each machine, for example. In this case, the setting value monitoring unit 23 acquires (monitors) the pressure value set by the operator via the input unit of the machine. The setting value monitoring unit 23 may be provided outside each machine. In this case, an input unit is provided in the setting value monitoring unit 23, and the pressure value set for the machine is acquired via the input unit. . In the case of such a configuration, the operator inputs the set pressure value through the input section of the set value monitoring section 23 when setting the pressure value for the machine. Each machine is provided with a display unit for displaying the set value (set pressure value), and the set value monitoring unit 23 is provided with an image sensor so that the pressure value set for the machine and displayed on the display unit is displayed. It may be configured to be acquired by an image sensor. With such a configuration, the worker only has to perform normal work on the machine, so the work load on the worker does not increase. The set value monitoring unit 23 acquires (detects) the pressure value at predetermined time intervals such as every several seconds or every several tens of seconds, and sends the acquired pressure value to the management device 10 together with the time of acquisition (acquisition date and time). Output.

In the management system of the present embodiment, the management device 10 acquires and accumulates the power consumption of each machine from the power consumption monitor 21, and the set value (pressure value) set for each machine from the set value monitor 23. ), a process of analyzing the operating state of each device based on the accumulated information, and a process of outputting the analysis results. In addition, in this embodiment, the surface temperature in the management system of Embodiment 3 is read as a pressure value (set value). For example, the machine DB 12b of this embodiment has a set value monitor ID column instead of the surface temperature monitor ID column in the machine DB 12b shown in FIG. 9B. The set value monitor ID column of the machine DB 12b stores identification information pre-assigned to the set value monitor 23 associated with each machine in association with the machine ID. Further, the operating status DB 12d of this embodiment has a pressure value column instead of the surface temperature column in the operating status DB 12d shown in FIG. 10A. The pressure value column of the operating status DB 12d stores information on pressure values (setting values) acquired from the setting value monitoring unit 23 provided corresponding to the machine, in association with the machine ID and the work ID. The pressure value column includes a date/time column and a pressure column, and the date/time column and the pressure column respectively store the acquisition date and time when the set value monitoring unit 23 acquires the pressure value and the acquisition result (pressure value). As a result, the operation status DB 12d of this embodiment accumulates the power consumption of each machine as time-series data, and also accumulates the pressure value set for each device as time-series data.

In the management system of this embodiment, the management device 10 performs processing similar to that shown in FIG. In the management device 10 of the present embodiment, in step S13, the control unit 11 transmits the measurement information output from the power consumption monitoring unit 21 or the setting value (pressure value) output from the setting value monitoring unit 23 to the communication unit. 13 determines whether or not it has been acquired. Then, if the control unit 11 determines that the measurement information or the setting value has been acquired (S13: YES), it performs the processing of steps S14 and S15, and in step S16, the machine ID of the specified machine and the specified work The acquired measurement information or set value (pressure value) is stored in the operation status DB 12d in association with the ID. As a result, the amount of power supplied to each machine measured by the power consumption monitoring unit 21 that monitors each machine, and the pressure value set to each machine acquired by the set value monitoring unit 23 that monitors each machine. is stored in the operating status DB 12d as operating information indicating the operating status of each machine. Therefore, in the present embodiment, time-series data of the amount of power supplied to each machine and time-series data of the pressure value set for each machine are stored in the operation status DB 12d as operation information indicating the operation status of each work. accumulated.

FIG. 18 is a flow chart showing an example of the procedure of analysis processing of the operation history of each machine by the management device 10 of the fourth embodiment. The process shown in FIG. 18 is obtained by adding step S61 instead of step S24 to the process shown in FIG. Description of steps similar to those in FIG. 12 will be omitted. In the management system of this embodiment, the control unit 11 of the management device 10 performs steps S21 to S23 as in the first embodiment. In step S21, the control unit (set value acquisition unit) 11 acquires the machine ID, work ID, information on power consumption (time-series data of power consumption), information on pressure value (time-series data of pressure value) for one work. data) from the operation status DB 12d.

The control unit (setting value fluctuation acquisition unit) 11 acquires fluctuation information indicating fluctuations in the pressure value set in this work based on the pressure value time-series data read from the operation status DB 12d (S61). In step S<b>61 , the control unit 11 compares pressure values before and after the pressure value time-series data, and sequentially calculates a difference (fluctuation) from the previous pressure value. Note that the control unit 11 may calculate an average value of a predetermined number of continuous pressure values, and calculate the difference between the calculated average value and the next pressure value as the variation information. Then, the control unit 11 determines (analyzes) whether or not an interrupted state has occurred during the work based on the variation information of the power consumption acquired in step S23 and the variation information of the pressure value acquired in step S61. ) (S25). In step S25, the control unit 11 determines that the machine is operating normally and is in a normal state when the amount of change in power consumption and the amount of change in pressure value are each less than a predetermined value. In addition, when the amount of fluctuation in power consumption is greater than or equal to a predetermined value, or when the amount of variation in pressure value is greater than or equal to a predetermined value, the control unit 11 suspends work because the machine is not operating normally. state.

In the case of machines that form aluminum sashes by extrusion, it is necessary to appropriately adjust the pressure when extruding the aluminum alloy (billet) in order to form it into an appropriate shape. With such a machine, when the worker is working (operating the machine) normally, the amount of power supplied to the machine (the amount of power consumed by the machine) is approximately constant, and the set pressure value is also approximately constant. value. On the other hand, if the worker cannot work normally for some reason, the amount of power supplied to the machine will fluctuate, and the set pressure value will also fluctuate. For example, if the pressure value is not set to an appropriate value, the aluminum sash after molding will not have an appropriate shape, so the set pressure value will not be a constant value (for example, if the pressure value fluctuates more than a predetermined value). , it can be determined that the work is suspended because the appropriate molding is not performed. Moreover, when some kind of trouble occurs and an operator stops the operation of the machine or turns off the power of the machine, the power consumption of the machine drops sharply. Therefore, when the fluctuation amount of the power consumption of the machine exceeds a predetermined value, it can be determined that the work by the machine is suspended.

When determining that an interrupted state has occurred (S25: YES), the control unit 11 identifies the cause of the interrupted state that has occurred (S26). In step S<b>26 , the control unit 11 identifies the cause of the interrupted state, for example, based on the fluctuation state of the power consumption amount and the fluctuation state of the pressure value determined to be the interrupted state. As described in the third embodiment, for example, a template matching technique may be used to perform the process of determining whether or not an interrupted state has occurred during work and the process of identifying the cause of the interrupted state. Thereafter, the control unit 11 performs steps S27 to S29 in the same manner as in the third embodiment. As a result, based on the power consumption and the set value (pressure value) of each machine monitored by the monitoring units 21 and 23, which are accumulated in the operation status DB 12d, it is possible to detect whether or not there is an interruption during work. can be stored in the operation history DB 12e.

The management device 10 of this embodiment performs the same processing as the processing shown in FIG. 14, and displays the work history screen as shown in FIG. 15C and the operation history screen as shown in FIG. Therefore, on the work history screen, it is possible to provide the analysis result of analyzing the work content such as the number of occurrences and duration of interruptions that occurred during work for each worker. It is possible to provide an analysis result obtained by analyzing the operation contents such as the number of occurrences of the interrupted state and the duration of the interrupted state.

Also in this embodiment, the same effects as in the third embodiment can be obtained. In addition, in this embodiment, in a machine that operates with set values adjusted (set), such as a machine that forms an aluminum sash by extrusion, each It is possible to analyze the operating state and production efficiency of machines, and the work state and work efficiency of each worker. Also in the management system of this embodiment, it is possible to apply the modified examples appropriately described in each of the above-described embodiments.

(Embodiment 5)
A management system that provides an external device with the analysis result of the operation state of each machine and the work state of each worker analyzed by the management device 10 will be described. FIG. 19 is a block diagram illustrating a configuration example of a management system according to the fifth embodiment; The management system of this embodiment includes devices 10 , 21 , 22 similar to those of the management system of the third embodiment, and further includes a terminal device 30 . Configurations similar to those of the management system of the third embodiment are denoted by the same reference numerals, and descriptions thereof are omitted. In addition, the management apparatus 10 of this embodiment is configured to be connectable to the network N. FIG. That is, the communication unit 13 of the management device 10 has an interface for connecting to the network N by wired communication or wireless communication.

The terminal device 30 is an information processing device such as a tablet terminal, a personal computer, or a smart phone, and is a terminal used by, for example, a factory manager or manager. The terminal device 30 performs various types of information processing, such as a process of requesting the management device 10 for analysis results of the operation status of each device and the work status of each worker, and a process of acquiring analysis results from the management device 10 and displaying them. . The terminal device 30 includes a control section 31, a storage section 32, a communication section 33, an input section 34, a display section 35, a reading section 36, etc., and these sections are interconnected via a bus. The configuration units 31 to 36 of the terminal device 30 have the same configuration as the configuration units 11 to 16 of the management device 10 and perform the same processing, so the description thereof will be omitted. Note that the storage unit 32 of the terminal device 30 includes a control program 32P executed by the control unit 31, a business management application 32AP for acquiring analysis results of the operation state of each device and the work state of each worker from the management device 10, and the like. memorize Also, the communication unit 33 of the terminal device 30 includes an interface for connecting to the network N by wired communication or wireless communication, and transmits and receives information via the network N.

In the terminal device 30 as well, the control program 32P, the business management application 32AP, and various data stored in the storage unit 32 are stored in the portable storage medium 3a, and the control unit 31 reads the portable data via the reading unit 36. It may be read from the storage medium 3a and stored in the storage unit 32. FIG. The control program 32P, the business management application 32AP, and various data stored in the storage unit 32 may be downloaded from an external device by the control unit 31 via the communication unit 33 and stored in the storage unit 32 . Furthermore, the control program 32P, the business management application 32AP, and various data may be stored in the semiconductor memory 3b, and the control unit 31 may read them from the semiconductor memory 3b and store them in the storage unit 32. FIG.

In the management system of this embodiment, the management device 10 performs processing similar to that shown in FIG. As a result, the amount of power supplied to each machine measured by the power consumption monitoring unit 21 that monitors each machine and the surface temperature of the processing target measured by the surface temperature monitoring unit 22 that monitors each machine are It is stored in the operating status DB 12d as operating information indicating the operating status of the machine. Also, the management device 10 performs the same processing as the processing shown in FIG. 12 . As a result, based on the power consumption of each machine monitored by the monitoring units 21 and 22 and the surface temperature of the processing target accumulated in the operation status DB 12d, it is possible to detect whether or not there is an interruption during work. When it occurs, information about the interrupted state can be accumulated in the operation history DB 12e.

20 and 21 are flowcharts showing an example of the procedure of the analysis result providing process by the management device 10. FIG. 20 and 21, the processing performed by the terminal device 30 is shown on the left side, and the processing performed by the management device 10 is shown on the right side. The screens shown in FIGS. 15A to 16B used in the following description have the same configuration as in the third embodiment. For example, when receiving an instruction to execute the business management application 32AP via the input unit 34, the control unit 31 of the terminal device 30 activates (executes) the business management application 32AP (S71). When the business management application 32AP is started, the control unit 31 displays the initial screen shown in FIG. 15A on the display unit 35 (S72).

The control unit 31 determines whether or not an instruction to perform analysis by worker has been received via the input unit 34 (S73), and when it is determined that an instruction to perform analysis by worker has been received (S73: YES). , the operator selection screen shown in FIG. 15B is displayed on the display unit 35 (S74). The control unit 31 receives the worker selected by the input field in the worker selection screen (S75), and requests the management device 10 for the analysis result of the selected worker (S76).

The control unit 11 of the management device 10 reads information on the work history (machine operation history) of the worker for whom the analysis result is requested from the operation history DB 12e (S77). Then, based on the read work history information, the control unit 11 generates a work history screen for displaying the work history of the worker requested to be analyzed, as shown in FIG. 15C (S78). The control unit 11 transmits the generated work history screen to the terminal device 30 that requested the analysis result (S79), and the control unit 31 of the terminal device 30 receives the work history screen (evaluation information) from the management device 10. Then, the received work history screen is displayed on the display unit 35 (S80).

If the controller 31 determines in step S73 that an instruction to execute analysis by worker has not been received (S73: NO), that is, if an instruction to execute analysis by machine has been received, the machine selection screen shown in FIG. 16A is displayed. It is displayed on the display unit 35 (S81). The control unit 31 accepts the machine selected by the input field in the machine selection screen (S82), and requests the management device 10 for the analysis result of the selected machine (S83).

The control unit 11 of the management device 10 reads information on the operation history of the machine for which the analysis result is requested from the operation history DB 12e (S84). Then, the control unit 11 generates an operation history screen for displaying the operation history of the machine requested to be analyzed, as shown in FIG. 16B, based on the read operation history information (suspended state information) (S85). ). The control unit 11 transmits the generated operation history screen to the terminal device 30 that requested the analysis result (S86), and the control unit 31 of the terminal device 30 receives the operation history screen (evaluation information) from the management device 10. Then, the received operation history screen is displayed on the display unit 35 (S87). Through the above-described processing, the management device 10 can provide the terminal device 30 with the analysis results (work history screen and operation history screen) of the work status of each worker and the operation status of each machine.

Also in this embodiment, the same effects as in the third embodiment can be obtained. In addition, in this embodiment, for example, a manager who is not in the factory can view the work history screen and the operation history screen from the management device 10 using the terminal device 30, so that the work status of each worker and the operation of each machine can be viewed. The status can be monitored even remotely. Moreover, the terminal device 30 is not limited to the terminal used by the factory manager or manager, and may be the terminal used by the workers. In this case, each worker can browse the work history screen, which is the analysis result of his/her own work state, on the terminal device 30 . Also in the management system of this embodiment, it is possible to apply the modifications described as appropriate in the third embodiment. Further, the configuration of this embodiment can also be applied to the management system of the fourth embodiment, and similar effects can be obtained even when applied to the management system of the fourth embodiment.

Also in the present embodiment, the terminal device 30 may be provided with the analysis results for each cause of interruption (such as a graph showing the number of occurrences of the interruption for each work day and the transition of the duration). In this case, the terminal device 30 can display the analysis result for each occurrence factor on the display unit 35 .

The embodiments disclosed this time are illustrative in all respects and should be considered not restrictive. The scope of the present invention is indicated by the scope of the claims rather than the meaning described above, and is intended to include all modifications within the scope and meaning equivalent to the scope of the claims.

10 management device (information processing device)
11 control unit 12 storage unit 14 input unit 15 display unit 50 allocation device 51 control unit 52 storage unit 55 display unit 21a, 21b power consumption monitoring unit 22a, 22b surface temperature monitoring unit 23a, 23b setting value monitoring unit

Claims (13)

a condition acquisition unit that acquires processing conditions that affect energy consumption in a machine that processes each processing object, corresponding to a plurality of processing objects;
an identifying unit that identifies a machine for processing each of the plurality of processing objects so as to reduce fluctuations in energy consumption of the plurality of machines that process the plurality of processing objects under respective processing conditions ;
A change display unit for displaying a change state of processing conditions to be processed for each of the processing objects assigned to each of the machines, based on the allocation status of the machines specified by the specifying unit for each of the processing objects. and
Information processing device. A priority information acquisition unit that acquires priority information indicating the priority of the object to be processed,
2. The information processing according to claim 1, wherein the specifying unit specifies the machine for processing the processing object so that fluctuations in the energy consumption of the machines processing the processing object for each priority are small. Device. The treatment conditions include temperature conditions for heat treatment of the object to be treated,
3. The information according to claim 1 or 2, wherein the identifying unit identifies the machine that processes each of the plurality of objects to be processed so that fluctuations in temperature conditions in the heat treatment performed by each of the plurality of machines are small. processing equipment. The processing conditions include pressure conditions when performing pressure processing on the processing object,
4. Any one of claims 1 to 3, wherein the identifying unit identifies the machine for processing each of the plurality of objects to be processed so as to reduce variations in pressure conditions in the pressurizing process performed by each of the plurality of machines. The information processing device according to any one. 5. The method according to any one of claims 1 to 4, further comprising an allocation display unit that displays an allocation status between each of the plurality of processing objects and the machines specified by the specifying unit for each of the processing objects. The information processing device described. The information processing apparatus according to claim 5, wherein the allocation display unit displays the allocation status in a manner according to the priority of the processing object. a power amount acquisition unit that acquires in time series the amount of power supplied to each of a plurality of machines installed in the factory;
a power fluctuation acquisition unit that acquires fluctuation information indicating fluctuations in the power amount based on the acquired power amount for each of the machines;
an analysis unit that analyzes the operating state of the machine based on the variation information acquired for each machine;
The information processing apparatus according to any one of claims 1 to 6 , further comprising an output unit that outputs analysis results regarding the operating state of the machine. a calculation unit that calculates the number of abnormal fluctuations in the power amount and the duration of the abnormal fluctuations based on the fluctuation information acquired for each machine;
The information processing apparatus according to claim 7 , wherein the analysis unit analyzes the operating state of the machine based on the number of times and duration calculated by the calculation unit. a person-in-charge information acquisition unit that acquires the variation information during the operating hours of the person in charge for each person in charge of operating the machine;
The information processing apparatus according to claim 7 or 8 , wherein the analysis unit analyzes the operating state of the machine for each person in charge based on the variation information for each person in charge. a measured value acquisition unit that acquires measured values that fluctuate with the operation of the machine in time series;
a measured value variation acquisition unit that acquires variation information indicating variation in the measured value based on the acquired measured value for each of the machines,
10. The analysis unit according to any one of claims 7 to 9, wherein for each machine, the analysis unit analyzes the operating state of the machine based on the acquired variation information of the electric energy and the acquired variation information of the measured value. information processing equipment. a setting value acquisition unit that acquires in time series the setting values that fluctuate with the operation of the machine;
a setting value variation acquiring unit for acquiring variation information indicating variation of the setting value based on the acquired setting value for each of the machines,
10. The analysis unit according to any one of claims 7 to 9, wherein for each machine, the analysis unit analyzes the operating state of the machine based on the acquired variation information of the electric energy and the acquired variation information of the set value. information processing equipment. The information processing apparatus according to any one of claims 7 to 11 , further comprising: a factor identification unit that identifies, based on the analysis result by the analysis unit, a factor causing the operating state indicated by the analysis result. Acquiring processing conditions that affect energy consumption in a machine that processes each processing object, corresponding to a plurality of processing objects;
identifying a machine for processing each of the plurality of processing objects so as to reduce fluctuations in energy consumption of the plurality of machines that process the plurality of processing objects under respective processing conditions ;
A program for causing a computer to execute a process for displaying the fluctuation state of processing conditions to be processed for each of the processing objects assigned to each of the machines based on the allocation status of the machines specified for each of the processing objects. .

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