JP2020160760A - Information processing device and program - Google Patents

Abstract

To provide an information processing device, etc. capable of assisting in improving manufacturing efficiency and work efficiency of a machine by grasping an operation state of the machine.SOLUTION: The information processing device acquires electric energy or heat quantity supplied to each of a plurality of machines installed in a factory in time series, and acquires fluctuation information indicating fluctuation of electric energy or heat quantity for each machine on the basis of the acquired electric energy or heat quantity. The information processing device analyzes an operation state of each machine on the basis of the fluctuation information on the electric energy or heat quantity acquired for each machine and then outputs the analysis result.SELECTED DRAWING: Figure 1

Description

The present disclosure relates to information processing devices and programs.

Since a large amount of electric power is consumed in factories and the like in which a large number of machines are operated, reduction of electric power consumption is an issue. Patent Document 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.

JP-A-2017-73935

However, since the technique disclosed in Patent Document 1 does not improve the production efficiency and work efficiency of each machine, 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 the purpose of the present disclosure is to provide information capable of supporting the improvement of production efficiency and work efficiency of a machine by grasping the operating state of the machine. The purpose is to provide processing equipment and the like.

The information processing apparatus according to the present disclosure includes a consumption amount acquisition unit that acquires the amount of power or heat consumed by each of a plurality of machines installed in the factory in chronological order, and the amount of power acquired for each of the machines. Alternatively, a power fluctuation acquisition unit that acquires fluctuation information indicating the fluctuation of the electric energy or the heat amount based on the amount of heat, and an analysis unit that analyzes the operating state of the machine based on the fluctuation information acquired for each machine. It is provided with an output unit that outputs an analysis result regarding the operating state of the machine.

In this disclosure, for each machine installed in a factory, the operating state of each machine is analyzed based on the time-series fluctuation of the amount of power consumed or the amount of heat. That is, the operating state of each machine can be grasped based on a small index such as fluctuation of electric energy or heat quantity. Further, since the production efficiency and work efficiency of each machine can be evaluated based on the operating state of each machine, it is possible to support the improvement of the production efficiency and work efficiency of each machine.

It is a block diagram which shows the configuration example of a management system. It is a block diagram which shows the configuration example of a management device. It is a schematic diagram which shows the structural example of the DB stored in the management apparatus. It is a schematic diagram which shows the structural example of the DB stored in the management apparatus. It is a flowchart which shows the procedure example of the accumulation processing of the measurement result of the monitoring part by a management device. It is a flowchart which shows the procedure example of the analysis processing of the operation history of each machine by a management device. It is explanatory drawing of the analysis process by a management apparatus. It is a flowchart which shows the procedure example of the display processing of the analysis result by a management apparatus. It is a schematic diagram which shows the screen example. It is a schematic diagram which shows the screen example. It is a block diagram which shows the configuration example of the management system of Embodiment 2. It is a flowchart which shows the procedure example of the analysis processing of the operation history of each machine by the management apparatus of Embodiment 2. It is a block diagram which shows the configuration example of the management system of Embodiment 3. It is a flowchart which shows the procedure example of the process of providing the analysis result by a management apparatus. It is a flowchart which shows the procedure example of the process of providing the analysis result by a management apparatus.

The information processing apparatus and program of the present disclosure will be described in detail below with reference to drawings showing embodiments thereof. In the following embodiment, the present disclosure will be described by exemplifying a management system provided with a management device to which the information processing device according to the present invention is applied and managing the operating states of a plurality of machines installed in the factory by the management device.

(Embodiment 1)
FIG. 1 is a block diagram showing a configuration example of a management system. The management system of the present embodiment is, for example, a system for managing the operating state of machines (first machine, second machine, etc.) used in a spinning factory. The machine to be managed in the present embodiment is, for example, a machine for dyeing a woven fabric, a fabric or the like and then drying it in a spinning factory, and is a machine including a configuration in which the woven fabric, the fabric or the like is heat-treated. Therefore, in the management system of the present embodiment, the operating state of each machine installed in the factory is determined by the amount of electric power (power consumption) supplied to each machine and the textile to be processed that fluctuates with the operation of each machine. It is analyzed and managed based on the surface temperature (measured value) of the fabric and the like. The management system of the present embodiment includes power consumption monitoring units 21a, 21b ... And surface temperature monitoring units 22a, 22b ... Provided in association with each machine, for example, a management device 10 provided in a factory. In the following, the power consumption monitoring units 21a, 21b ... Are collectively referred to as the power consumption monitoring unit 21, the surface temperature monitoring units 22a, 22b ... Are collectively referred to as the surface temperature monitoring unit 22, and the power consumption monitoring unit 21 and the surface temperature monitoring. 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 communicable, and information is transmitted and received. It should be noted 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. Further, 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 (Local Area Network), and may be configured to transmit and receive information via the network. It is desirable that the monitoring units 21 and 22 are battery-powered measuring instruments that operate on power from the built-in battery.

The power consumption monitoring unit 21 is provided for each machine in the factory, and the amount of power supplied to each device via the power cable, for example, by being attached to a supply line (power cable) that supplies power to each machine. Measure (detect) (power consumption consumed by each machine). The surface temperature monitoring unit 22 is provided for each machine in the factory, and measures (detects), for example, the surface temperature of a processing target (woven fabric, fabric, etc.) heated by each machine. The surface temperature monitoring unit 22 measures the surface temperature at at least one place with respect to the processing target, but may be configured to measure the surface temperature at a plurality of places. The surface temperature monitoring unit 22 may be configured to contact the surface of the processing target to measure the surface temperature, measure infrared rays emitted from the surface of the processing target, convert the measured infrared amount into temperature, and perform processing. A thermo camera that acquires the surface temperature of the target may be used. The power consumption monitoring unit 21 and the surface temperature monitoring unit 22 are not limited to the above-described configuration, and may be configured to measure the power consumption of each device and the surface temperature of the processing target in each device by using other methods. Each of the monitoring units 21 and 22 measures the power consumption and the surface temperature at predetermined times such as every few seconds and every several tens of seconds, and transfers the measured power consumption and the surface temperature (measurement result) to the management device 10. Output. The monitoring units 21 and 22 have, for example, a clock that indicates an absolute time (year / month / day / hour / minute / second), and the clock is set when the measurement result measured at a predetermined time is measured. 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. For example, a manager (factory manager, area manager in the factory, etc.) who manages workers working in the factory, or management who manages the factory. It is a terminal used by people. 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 accumulates. It performs various information processing such as processing to analyze the operating state of each device based on each information and processing to output the analysis result. A plurality of management devices 10 may be provided so as to perform distributed processing, or may be realized by using a plurality of virtual machines or cloud servers provided in one server.

FIG. 2 is a block diagram showing a configuration example of the management device 10. The management device 10 includes a control unit 11, a storage unit 12, a communication unit 13, an input unit 14, a display unit 15, a reading unit 16, and the like, and each of these units is connected to each other via a bus. The control unit 11 includes one or more processors such as a CPU (Central Processing Unit), an MPU (Micro-Processing Unit), and a GPU (Graphics Processing Unit). By appropriately executing the control program 12P stored in the storage unit 12, the control unit 11 causes the management device 10 to perform various information processing, control processing, and the like that should be performed by the information processing device of the present disclosure.

The storage unit 12 includes a RAM (Random Access Memory), a flash memory, a hard disk, an SSD (Solid State Drive), and the like. The storage unit 12 stores in advance various data and the like necessary for executing the control program 12P and the control program 12P executed by the control unit 11. Further, the storage unit 12 temporarily stores data or the like generated when the control unit 11 executes the control program 12P. Further, the storage unit 12 stores a business management application (business management application program) 12AP for the management device 10 to manage the operating status of each machine in the management system of the present embodiment. Further, the storage unit 12 stores the worker DB (database) 12a, the machine DB 12b, the work schedule DB 12c, the operation status DB 12d, and the operation history DB 12e, which will be described later. The worker DB 12a, the machine DB 12b, the work schedule DB 12c, the operation status DB 12d, and the operation history DB 12e may be stored in the external storage device connected to the management device 10, and are stored in the external storage device that the management device 10 can communicate with. You may.

The communication unit 13 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 include an interface for connecting to a network such as the Internet or a LAN. The input unit 14 receives an operation input by the user and sends a control signal corresponding to the operation content to the control unit 11. The display unit 15 is a liquid crystal display, an organic EL display, or the like, and displays various information according to instructions from the control unit 11. The input unit 14 and the display unit 15 may be a touch panel integrally configured.

The reading unit 16 reads information stored in a portable storage medium 1a including a CD (Compact Disc) -ROM, a DVD (Digital Versatile Disc) -ROM, or a USB (Universal Serial Bus) memory. 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 the data from the portable storage medium 1a via the reading unit 16. It may be stored in the storage unit 12. Further, the control program 12P, the business management application 12AP, and various data stored in the storage unit 12 may be downloaded by the control unit 11 from an external device via the communication unit 13 and stored in the storage unit 12. Further, 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 the data from the semiconductor memory 1b and store the data in the storage unit 12.

3 and 4 are schematic views showing a configuration example of DB 12a to 12e stored in the management device 10. FIG. 3A shows the worker DB 12a, FIG. 3B shows the machine DB 12b, FIG. 3C shows the work schedule DB 12c, FIG. 4A shows the operation status DB 12d, and FIG. 4B shows the operation history DB 12e. The worker DB 12a stores information about a worker working in a factory provided with a management system. The worker DB 12a shown in FIG. 3A includes a worker ID column, a name column, an age column, a number of years of service column, an affiliation department column, and the like. The worker ID column stores identification information assigned in advance to each worker, and the name column, age column, years of service column, and department column correspond to the worker ID, respectively, and the name and age of each worker. , Memorize years of service and department. The worker ID stored in the worker DB 12a 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. Will be deleted. The stored contents of the worker DB 12a are not limited to the example shown in FIG. 3A, and various information about the worker can be stored.

The machine DB 12b stores information about the machine installed in the factory where the management system is provided. The machine DB 12b shown in FIG. 3B 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, the manufacturing date column, and the operating years column correspond to the machine ID, respectively, and the model number, manufacturing date, and operating years of each machine are stored. Remember. The power consumption monitoring unit ID string corresponds to the machine ID and stores the identification information assigned in advance to the power consumption monitoring unit 21 provided in association with each machine, and the surface temperature monitoring unit ID string corresponds to the machine ID. Attached, 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 unit 11 when the control unit 11 acquires new machine information via the input unit 14 or the communication unit 13. The model number, manufacturing date, and operating years 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 each machine in the monitoring units 21 and 22, respectively, and the control unit 11 is installed via the input unit 14 or the communication unit 13. When an instruction for addition or change is obtained, the control unit 11 adds or changes the instruction. The storage content of the machine DB 12b is not limited to the example shown in FIG. 3B, and various information related to the machine such as the arrangement location (arrangement area) of each machine in the factory can be stored.

The work schedule DB 12c stores information about the scheduled work in each machine. The work schedule DB 12c shown in FIG. 3C includes a machine ID column, a work ID column, a scheduled start date and time column, a scheduled end date and time column, a worker ID column, and the like. The machine ID string stores the identification information of each machine, and the machine ID of each machine uses the machine ID registered in the machine DB 12b. The work ID column stores identification information assigned to each work performed by using the machine, and the scheduled start date and time column, the scheduled end date and time column, and the worker ID column are associated with the machine ID and the work ID, respectively, for each work. The scheduled start date and time and the scheduled end date and time of the above, and the worker ID of the worker (person in charge) in charge of each work are stored. The machine ID stored in the work schedule DB 12c is stored in advance. As 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, the control unit 11 acquires information on new work scheduled for each machine via the input unit 14 or the communication unit 13. If so, it is stored by the control unit 11. The stored contents of the work schedule DB 12c are not limited to the example shown in FIG. 3C, and various information related to the work assigned to the machine can be stored. 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, ordering source of the product manufactured by the work. Information about the company 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 operation status DB 12d shown in FIG. 4A 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 string stores the identification information of each machine, and the machine ID of each machine uses the machine ID registered in the machine DB 12b. The work ID column stores identification information assigned to each work performed using the machine, and the work start date / time column and the work end date / time column are associated with the machine ID and the work ID, respectively, and each work is actually started. The date and time of the date and the date and time of the end are stored. The power consumption column stores information on 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 an electric energy column, and the date and time column and the electric energy column are the measurement date and time and the measurement result (electric energy) for which the power consumption monitoring unit 21 measured the power consumption in the machine, respectively. Remember. The surface temperature column stores information on 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 / time column and a temperature column, and each of the date / time sequence and the temperature column stores the measurement date / time and the measurement result (temperature) in which the surface temperature monitoring unit 22 measures the surface temperature of the processing target. .. As a result, the operating status DB 12d can store the power consumption of each machine as time-series data, and can store the surface temperature of the processing target of each device as time-series data.

As the measurement date and time of the power consumption and the surface temperature, the measurement date and time that the power consumption monitoring unit 21 and the surface temperature monitoring unit 22 output to the management device 10 together with the measurement result are used, but the management device 10 uses the power consumption monitoring unit 21 and the surface. It may be the acquisition date and time when the measurement result is acquired from the temperature monitoring unit 22. Further, as for the power consumption and the surface temperature, waveform data indicating the time-series change of 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, information for reading waveform data indicating time-series changes in power consumption and surface temperature (for example, a file name indicating a data storage location) may be stored in the power consumption column and the surface temperature column. The machine ID stored in the operation status DB 12d is stored in advance. The work ID and the work start date and time stored in the operation status DB 12d are stored by the control unit 11 when each machine starts the work based on the stored contents of the work schedule DB 12c, and the work end date and time is stored by each machine. Is stored by the control unit 11 when the above is completed. The power consumption and surface temperature information stored in the operation status DB 12d is stored by the control unit 11 each time the control unit 11 acquires the power consumption and surface temperature information from the monitoring units 21 and 22 via the communication unit 13. Will be done. The stored contents of the operating status DB 12d are not limited to the example shown in FIG. 4A, and various information related to the operating status of the machine can be stored. For example, for each operation, setting 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. 4B includes a machine ID column, a work ID column, a worker ID column, a suspension state information string, and the like. The machine ID string stores the identification information of each machine, and the machine ID of each machine uses the machine ID registered in the machine DB 12b. The work ID string is associated with the machine ID and stores the identification information of each work performed by the machine, and the work ID of each work uses the work ID stored in the work schedule DB 12c. The worker ID column is associated with the machine ID and the work ID to store the identification information of each worker, and the worker ID of each worker uses the worker ID registered in the worker DB 12a. The interruption state information string stores information related to a situation in which it is determined that the machine has interrupted processing (operation) during work in association with the machine ID and the work ID. Specifically, the suspension status information column includes a status ID column, a start date / time column, an end date / time column, and a factor column, and the status ID column is an identification assigned to each status (state) determined to be in the suspension status. Memorize information. The start date and time column and the end date and time column store the start date and time of the situation in which the machine is determined to be in the suspended state, and the end date and time when the suspended state is resolved and the normal operation is resumed, respectively. The factor sequence stores information about the cause (cause) of the machine being interrupted. The factor sequence may store each factor or may store the identification information assigned to each factor. As a result, the operation history DB 12e stores (accumulates) the occurrence start date / time, end date / time, and occurrence factor for the interruption state that occurred during each work in each machine.

As for the machine ID, work ID and worker ID stored in the operation history DB 12e, the machine ID, work ID and worker ID stored in association with the operation status DB 12d are read out and stored by the control unit 11. .. The suspension state information stored in the operation history DB 12e is detected by the control unit 11 based on the power consumption and surface temperature information stored in the operation status DB 12d to detect whether or not the suspension state has occurred during the work by the machine. When the process is performed, it is stored by the control unit 11. The process of detecting whether or not the interruption state has occurred by the control unit 11 can be performed at an arbitrary timing after each work is completed. The stored contents of the operation history DB 12e are not limited to the example shown in FIG. 4B.

The processing performed by the management device 10 having the above-described configuration will be described below. FIG. 5 is a flowchart showing an example of a procedure for accumulating the measurement results of the monitoring units 21 and 22 by the management device 10. 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. In the management system of the present embodiment, the power consumption monitoring unit 21 measures the amount of power (power consumption) supplied to the corresponding machine every time a predetermined time elapses, and measures the measurement date and time and the measurement result (power consumption). And, the measurement information including the power consumption monitoring unit ID of itself (power consumption monitoring unit 21) is output to the management device 10. Similarly, the surface temperature monitoring unit 22 measures the surface temperature of the processing target processed by the corresponding machine every predetermined time, and measures the measurement date and time, the measurement result (surface temperature), and itself (surface temperature monitoring unit 22). The measurement information including the surface temperature monitoring unit ID is output to the management device 10. In addition, the work contents to be executed (scheduled start date and time and end date and time of work and the worker in charge) are determined for each machine, and are assigned to each machine in the work schedule DB 12c as shown in FIG. 3C. It is assumed that information about the work done 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 stored contents of 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), and if the scheduled start date and time has arrived, the control unit 11 starts. Judge that there is work to be done. When it is determined that there is work to be started (S11: YES), the control unit 11 stores the work information related to 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 start the work. When it is determined that there is no work to be started (S11: NO), the control unit 11 skips the process of step S12.

The control unit 11 determines whether or not the measurement information output from any of the monitoring units 21 and 22 has been acquired by the communication unit 13 (S13), and when it is determined that the measurement information has been acquired (S13: YES), identify the machine corresponding to the acquired measurement information (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 the machine (machine ID) corresponding to the extracted monitoring unit ID is 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 being executed by the machine to be monitored when the monitoring units 21 and 22 acquire 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 specified in step S14. Based on the above, the work (work ID) corresponding to the extracted measurement date and time is specified.

The control unit 11 stores (stores) the acquired measurement information in the operation status DB 12d in association with the machine ID of the machine specified in step S14 and the work ID of the work specified in step S15 (S16). In step S16, the control unit 11 extracts the measurement date and time and the measurement result (power consumption amount or surface temperature) included in the acquired measurement information, and stores the extracted measurement date and time and the measurement result in the operation status DB 12d in association with each other. The control unit 11 performs the processes of steps S14 to S16 each time measurement information is acquired 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 to be processed by each machine measured by the surface temperature monitoring unit 22 that monitors each machine. Is stored in the operation status DB 12d as operation information indicating the operation state of each machine.

When 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 processes of steps S14 to S16 and determines whether or not there is any completed work. Judgment (S17). In step S17, the control unit 11 is configured to acquire end information regarding the completed work via, for example, the communication unit 13 or the input unit 14, and when the end information is acquired, it is determined that there is a completed work. To do. When the scheduled work is completed, the worker who operates each machine finishes the work, for example, via the operation unit provided in the machine, the terminal assigned to the machine, or the input unit 14 of the management device 10. Enter. Therefore, the control unit 11 can acquire the 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. .. When it is determined that there is no completed work (S17: NO), the control unit 11 skips the process of step S18 and returns to the process of step S11.

By the above-mentioned process, if there is a work to be started, the control unit 11 stores the work information of this work in the operation status DB 12d, and acquires the measurement information from any of the monitoring units 21 and 22 each time. The measurement information is stored in the operation status DB 12d, and if there is a completed work, the end date and time of this work 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 state of each work for each machine. Will be done.

FIG. 6 is a flowchart showing a procedure example of the analysis process of the operation history of each machine by the management device 10, and FIG. 7 is an explanatory diagram of the analysis process by the management device 10. 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. 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 in which the work end date and time is stored in the operation status DB 12d.

The control unit (consumption amount acquisition unit, measurement value acquisition unit) 11 of the management device 10 reads the operation information related to the completed work from the operation status DB 12d (S21). In step S21, the control unit 11 reads out the machine ID, work ID, power consumption information (time series data of power consumption), and surface temperature information (time series data of surface temperature) from the operation status DB 12d for one work. , The read machine ID and the worker ID corresponding to the work ID are read from the work schedule DB 12c. The control unit 11 stores the operation content of this work in the operation history DB 12e based on the read operation information (S22). In step S22, the control unit 11 stores the read work ID and the worker ID in the operation history DB 12e in association with the read machine ID.

The lower graph of FIG. 7 shows time-series data of electric energy, and the time-series data of electric energy is shown with time on the horizontal axis and power consumption on the vertical axis. Each of the three graphs on the upper side of FIG. 7 shows time-series data of the surface temperature of the processing target of the machine, and the time-series data of the surface temperature is shown with the horizontal axis as time and the vertical axis as temperature. In the example shown in FIG. 7, the surface temperature of three points is measured (monitored) with respect to the processing target of the machine, but the number of points for measuring the surface temperature is not limited to this.

The control unit (power fluctuation acquisition unit) 11 is based on the time-series data of the power consumption read from the operation status DB 12d, and the fluctuation information indicating the fluctuation of the power consumption (power consumption) supplied to the machine during this work. (S23). In step S23, the control unit 11 compares the power consumption before and after in the time-series data of the power consumption, and sequentially calculates the difference (fluctuation) from the previous power consumption. The control unit 11 may calculate the average value of a predetermined number of continuous power consumption amounts, and calculate the difference between the calculated average value and the next power consumption amount as fluctuation information. Further, the control unit (measured value fluctuation acquisition unit) 11 acquires fluctuation information indicating the fluctuation of 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 S24, the control unit 11 compares the front and rear surface temperatures in the time series data of the surface temperature, and sequentially calculates the difference (variation) from the previous surface temperature. The control unit 11 may calculate the average value of a predetermined number of continuous surface temperatures, and calculate the difference between the calculated average value and the next surface temperature as fluctuation information.

The control unit (analysis unit) 11 determines whether or not an interruption state has occurred during this work based on the fluctuation information of the power consumption acquired in step S23 and the fluctuation information of the surface temperature acquired in step S24. Judgment (analysis) (S25). In step S25, when the fluctuation amount of the power consumption amount and the fluctuation amount of the surface temperature are less than the predetermined values, the control unit 11 determines that the machine is in a normal state of normal operation. Further, in the control unit 11, when the fluctuation amount of the power consumption is equal to or more than a predetermined value or when the fluctuation amount of the surface temperature is equal to or more than a predetermined value (that is, when an abnormal fluctuation occurs), the machine operates normally. It is judged that the work is interrupted and the work is interrupted. In the case of a machine that heat-treats the object to be processed, if the worker is working normally (operating the machine), the amount of power supplied to the machine (power consumption by the machine) will be approximately constant, and the processing The surface temperature of the object to be processed is also a substantially constant value. On the other hand, if the worker is not able to work normally for some reason, the amount of electric power supplied to the machine fluctuates, and the surface temperature of the object to be processed also fluctuates. For example, when some trouble occurs, the worker 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 interrupted. Further, when some trouble occurs and the woven fabric or fabric to be treated stagnates in the machine, the same portion is continuously heat-treated, so that the surface temperature of the treatment target rises above the set temperature. On the contrary, if the woven fabric or fabric to be treated is not properly heated, the surface temperature of the treatment target does not rise to the set temperature. Therefore, when the fluctuation amount of the surface temperature of the processing target exceeds a predetermined value (when an abnormal fluctuation occurs), it can be determined that the work by the machine is interrupted.

When the control unit (factor identification unit) 11 determines that the interruption state has occurred (S25: YES), the control unit (factor identification unit) 11 identifies (analyzes) the cause of the interruption state that has occurred (S26). In step S26, the control unit 11 identifies the cause of the interruption state, for example, based on the fluctuation state of the power consumption and the fluctuation state of the surface temperature determined to be the interruption state. In steps S25 to S26, the control unit 11 performs a process of determining whether or not an interrupted state has occurred during the work and a process of identifying the cause of the interrupted state, for example, by using a template matching technique. Specifically, for each factor of the suspended state, a template based on the fluctuation information (variable waveform) of the general power consumption generated in the power consumption of the machine when the suspended state occurs due to each factor, and the processing target A template based on general surface temperature fluctuation information (fluctuation waveform) generated at the surface temperature is stored in the storage unit 12 in advance. Then, the control unit 11 detects whether or not the fluctuation information of the power consumption amount acquired in step S23 includes a fluctuation waveform matching any of the templates, and the fluctuation information of the surface temperature acquired in step S24. Detects whether or not a variable waveform matching any of the templates is included in. When the control unit 11 detects a fluctuation waveform that matches the template in the fluctuation information of the power consumption and / or the fluctuation information of the surface temperature, it determines that an interrupted state has occurred, and further corresponds to the matching template. The attached factor is specified as the cause of the detected interruption state.

The factors of the suspended state include, for example, a worker's operation error and a worker's lack of morale. The interrupted state due to an operation error of the worker is, for example, an interrupted state caused by an error in setting the set temperature by the worker, and in this case, the power consumption amount and the surface temperature of the processing target fluctuate stepwise. In addition, the suspended state due to lack of morals of the worker includes, for example, a suspended state in which it takes time to resume the work when the work is interrupted due to some trouble. In this case, the power consumption The time required for the surface temperature of the object to be treated to return to the normal value is not less than a predetermined time (or more than a predetermined time). As described above, each of the generating factors has a characteristic that occurs in the fluctuation of the power consumption amount and the surface temperature, and based on such a characteristic, the generating factor of the generated interruption state can be specified. The cause of the interruption state is not limited to the above-mentioned example. In steps S25 to S26, the control unit 11 determines the occurrence of the interrupted state based on the fluctuation information of the power consumption amount and the fluctuation information of the surface temperature, but when the power consumption amount is acquired from the monitoring units 21 and 22. The occurrence of the interruption state may be determined based on the series data and the time series data of the surface temperature.

Further, in step S26, when the control unit 11 identifies the cause of the interruption state, it may specify whether or not the interruption state is not caused by an operator's mistake or the like. An interrupted state that is not caused by a worker's mistake or the like is, for example, an interrupted state that occurs due to a setting change due to lot switching, an interrupted state that occurs due to a momentary power interruption or a power failure, or the like. Specifically, the control unit 11 determines, for example, that when the period during which the power consumption of the machine becomes 0 is less than a predetermined period, it is in an interrupted state due to lot switching or an interrupted state due to a momentary power interruption or a power failure. You may. Further, the control unit 11 may perform a process of determining whether or not each interruption state is an interruption state due to lot switching, an interruption state due to a momentary power interruption or a power failure, by using a template matching technique.

By the above-described processing, the control unit 11 determines in the time-series data shown in FIG. 7, for example, that the time point indicated by the arrow 1 is the interrupted state caused by the momentary interruption, and the time point indicated by the arrow 2 is the operation of the worker. Judge that it is a suspended state caused by a mistake. Further, the control unit 11 determines that the time point indicated by the arrow 3 is the suspended state caused by the lot switching, and the time point indicated by the arrow 4 is determined to be the suspended state caused by the operation error of the worker.

The control unit 11 generates information indicating the interrupted state for the detected interrupted state and stores it in the operation history DB 12e (S27). In step S27, the control unit 11 extracts the start date and time and the end date and time of the detected interruption state from the fluctuation information of the power consumption amount and the fluctuation information of the surface temperature. Then, the control unit 11 issues a state ID, associates the state ID with the extracted start date / time and end date / time, and the factor specified in step S26, and stores the state ID in the operation history DB 12e as interruption state information. When the control unit 11 identifies in step S26 that the interruption state is not caused by a worker's mistake or the like, the control unit 11 may be configured not to store the interruption state information related to this interruption state in the operation history DB 12e. The operation history (suspended state information) stored in the operation history DB 12e can be used when evaluating the work contents of each worker and the operation contents of each machine. Therefore, by not storing the information on the interrupted state that is not caused by the worker's mistake in the operation history DB12e, the worker's mistake is based on the information used when evaluating the work content of each worker and the operation content of each machine. It is possible to exclude information on the suspended state that is not a factor such as. It should be noted that the operation history DB 12e may also store the interruption state information related to the interruption state that is not caused by a worker's mistake or the like. In this case, for example, the time required for each worker to switch lots can be measured, which is required for lot switching. It is possible to evaluate the work contents of workers according to the length of time. When the control unit 11 determines that the interruption state has not occurred (S25: NO), the control unit 11 skips the processes of steps S26 to S27.

The control unit 11 performs a process of detecting the presence or absence of an interrupted state in order from the beginning of the fluctuation information with respect to the fluctuation information of the power consumption amount acquired in step S23 and the fluctuation information of the surface temperature acquired in step S24. Therefore, it is determined whether or not the processing has been performed up to the end of the fluctuation information (S28). When it is determined that the processing has not been performed until the end of the fluctuation information (S28: NO), the control unit 11 returns to the processing of step S25 and continues the processing of determining whether or not the interruption state has occurred during this work. To do. When it is determined that the processing has been performed to the end of the fluctuation information (S28: YES), whether or not the control unit 11 has completed the processing for all the operations to be analyzed and processed based on the operation information stored in the operation status DB 12d. Is determined (S29). When it is determined that the processing has not been completed for all the work to be analyzed (S29: NO), the control unit 11 returns to the processing in step S21 and outputs the operation information related to the work for the unprocessed work from the operation status DB 12d. Read (S21) and perform the processes of steps S22 to S28. When it is determined that the processing has been completed for all the operations to be analyzed (S29: YES), the control unit 11 ends the processing. As a result, the presence or absence of an interrupted state during work can be detected 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 operating status DB 12d, and the interrupted state can be detected. When it occurs, information on the suspended state can be stored in the operation history DB 12e.

FIG. 8 is a flowchart showing a procedure example of the analysis result display processing by the management device 10, and FIGS. 9 and 10 are schematic views showing a screen example. 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. When the control unit 11 of the management device 10 receives an execution instruction of the business management application 12AP via, for example, the input unit 14, the control unit 11 activates (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. 9A on the display unit 15 (S42). The initial screen shown in FIG. 9A 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 worker-specific analysis button is a button operated when instructing each worker to execute the analysis process for the work history, and the machine-specific analysis button instructs each machine to execute the analysis process for the operation history. It is a button to be operated at the time.

The user of the management device 10 selects and operates the worker-specific analysis button or the machine-specific analysis button on the input unit 14 depending on whether he / she wants to execute the analysis process for each worker or the analysis process for each machine. The control unit 11 determines whether or not the execution instruction of the analysis by worker has been received via the input unit 14 (S43), and when it is determined that the execution instruction of the analysis by worker has been received (S43: YES). , The worker selection screen shown in FIG. 9B is displayed on the display unit 15 (S44). The selection screen shown in FIG. 9B has an input field for inputting the worker ID of the worker to be analyzed, and in the input field, an arbitrary one is selected from the worker IDs of a plurality of workers. Pull-down menu is set. On the worker selection screen, 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. The control unit 11 accepts the worker selected by the input field (S45).

The control unit (person in charge information acquisition unit) 11 reads the information of 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, the work ID, and the interruption state information corresponding to the worker ID of the selected worker from the operation history DB 12e. Then, the control unit 11 generates a work history screen (evaluation information) for displaying the work history as shown in FIG. 9C based on the read work history information (S47). The work history screen shown in FIG. 9C displays a graph showing the transition of the number of occurrences of the interruption state for each work day. When generating the work history screen shown in FIG. 9C, 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. , Generates a graph showing the number of occurrences of the interrupted state for each work day counted, and generates a display screen for displaying the generated graph. In addition to the graph showing the transition of the number of occurrences of the suspended state on each work day, a work history screen may be generated that displays a graph showing the transition of the total duration of the suspended state on each work day. In this case, the control unit (calculation unit) 11 measures the duration of the suspension state for each work day based on the suspension state information read from the operation history DB 12e, and the duration of the suspension state of each measured work day. A graph showing the above is generated, and a display screen for displaying the generated graph is generated.

The control unit (output 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 number of occurrences of the interruption state that occurred during the work for each worker and the transition of the duration for each work day. Therefore, it is possible to display (output) the analysis result of analyzing the work contents based on the operating state of the machine for each worker.

When the control unit 11 determines in step S43 that it has not received the execution instruction of the analysis by worker (S43: NO), that is, when it has received the execution instruction of the analysis by machine, the machine selection screen shown in FIG. 10A is displayed. It is displayed on the display unit 15 (S49). The selection screen shown in FIG. 10A has an input field for inputting the machine ID of the machine to be analyzed, and the input field has a pull-down menu for selecting an arbitrary one from the machine IDs of a plurality of machines. It is set. On the machine selection screen, 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. The control unit 11 accepts the machine selected by the input field (S50).

The control unit 11 reads the operation history information 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. 10B based on the read operation history information (interruption state information) (S52). The operation history screen shown in FIG. 10B has the same configuration as the work history screen shown in FIG. 9C, and displays a graph showing the transition of the number of occurrences of the interruption state for each work day. When generating the operation history screen shown in FIG. 10B, 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 counts each of the counted times. Generate a graph showing the number of interruptions on the work day, and generate a display screen to display the generated graph. In addition to the graph showing the transition of the number of occurrences of the suspended state on each work day, an operation history screen may be generated that displays a graph showing the transition of the total duration of the suspended state on each work day. In this case, the control unit 11 measures the duration of the suspension state for each work day based on the suspension state information read from the operation history DB 12e, and displays a graph showing the duration of the suspension state for each measured work day. Generate and generate a display screen that displays 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 the number of occurrences of the interruption state that occurred during the operation of each machine and the transition of the duration for each work day. Therefore, it is possible to display (output) the analysis result of analyzing the operating state of the machine for each machine.

In the present embodiment, for each machine installed in the factory, each machine is based on the time-series fluctuation of the supplied electric energy (power consumption) and the time-series fluctuation of the surface temperature of the processing target. Determine if the machine is performing normal processing (work) or interrupting processing (work). Specifically, when the fluctuation of the power consumption is less than the predetermined value and the fluctuation of the surface temperature of the processing target is less than the predetermined value, it is determined that the machine is performing the normal processing. It is known that when the fluctuation of the power consumption is small, the total power consumption can be reduced and energy saving can be realized. Further, when the fluctuation of the power consumption and the surface temperature in each machine is small, it is highly possible that the number of changes (lot switching) of the set value (temperature condition in the heat treatment) in each machine is small. When the set value is changed in each machine, it takes some time for the machine to operate stably after the set value is changed. On the other hand, when the number of times the set value is changed is small, the machine operates stably for a long time, and the operator's operation required for changing the set value becomes unnecessary, so that the operator's operation error is reduced. Therefore, when the fluctuation of the power consumption amount and the surface temperature in each machine is small, it can be determined that the processing is efficiently performed in each machine. Therefore, the work efficiency of each worker and the production efficiency of each machine can be analyzed based on the fluctuation of the power consumption and the fluctuation of the surface temperature.

In the present embodiment, the operating state and production efficiency of each machine can be analyzed based on a small index of fluctuations in power consumption and fluctuations in the surface temperature of the processing target. When analyzing the operating state of a machine, the internal data of the machine is often used, but in the management system of this embodiment, the internal data of the machine is not used and only the information that can be detected from the outside of the machine is used. You can analyze the operating status. In addition, 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 perform evaluation processing on 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, factors that cause work interruption), it is possible to give advice on points to be improved, and it is possible to support future improvements in production efficiency and work efficiency. The power consumption of the machine can be measured (detected) by, for example, attaching the power consumption monitoring unit 21 to the power supply line (power cable), and the surface temperature of the processing target can be measured, for example, when a thermo camera is used. It can be measured (detected) in a non-contact state with the surface to be processed. Therefore, when the monitoring system of the present embodiment is introduced into the factory, the work load on the factory side is not increased, and the power consumption of the machine and the surface temperature of the processing target are not hindered. Since it can be detected, the monitoring system of the present embodiment can be easily introduced in the factory.

In the present embodiment, it is possible to identify the cause of the interruption 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. 9C and the analysis result for each machine as shown in FIG. 10B but also the analysis result for each occurrence factor. In this case, for example, the control unit 11 accepts selection for any of a plurality of generation factors via the input unit 14, and based on the interruption state information read from the operation history DB 12e, the selected generation factors are selected for each work day. Generate a graph showing the number of occurrences of the suspended state and the transition of the duration. As a result, it is possible to grasp the number of occurrences and the transition of the duration of the interruption state caused by each occurrence factor for each occurrence factor. Further, in the present embodiment, for example, evaluation information (score) for the work state of each worker can be calculated based on the number of occurrences and duration of the interruption state, and the evaluation ranking of the workers can be generated. Similarly, evaluation information (score) for the operating state of each machine can be calculated to generate an evaluation ranking of the machine.

In the present 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 of the fluctuation values of the power consumption of the machines installed in each area, and acquires the time series data of the total fluctuation values. Further, the management device 10 calculates the total of the fluctuation values of the surface temperature of the processing target of the machine installed in each area, and acquires the time series data of the total fluctuation values. Then, the management device 10 determines whether or not the total fluctuation value of the power consumption and the total fluctuation value of the surface temperature are less than the predetermined value, and if it is less than the predetermined value, each machine in this area is normal. It may be determined that it is in a normal state of operation. Similarly, the total fluctuation value of the power consumption of all the machines installed in the factory (total time series data) is calculated, and the total fluctuation value of the surface temperature of the processing target of all machines (total time series data) is calculated. ) Is calculated. Then, the management device 10 determines whether or not the total fluctuation value of the power consumption and the total fluctuation value of the surface temperature in the entire factory are less than the predetermined values, and if it is less than the predetermined value, each of the factories as a whole It may be determined that the machine is operating normally and in a normal state.

In the present embodiment, the work history screen shown in FIG. 9C may be configured so that, for example, when a boss, a senior, or the like gives some advice to this worker, the date of advice and the content of the advice can be registered. .. For example, an input field for inputting the 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 field 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 the storage unit 12 in association with each other, and when the work history screen is displayed, the control unit 11 displays the advice content in association with the date. As a result, in the number of occurrences of the interruption state displayed on the work history screen, it is possible to grasp the change in the number of occurrences of the interruption state before and after giving advice to this worker, and the advice can improve the work content and work efficiency. It is possible to judge (evaluate) whether or not it has been improved. For example, if the number of interruptions occurs after advice, it is highly likely that the worker has improved the work content according to the advice of the boss, and if there is no change in the number of interruptions before and after the advice, the worker is the boss. It is likely that you are ignoring the advice. Therefore, the work content of each worker can be evaluated based on such information.

Similarly, the operation history screen shown in FIG. 10B may be configured so that, for example, when maintenance is performed on this machine, the maintenance date and maintenance content can be registered. For example, an input field for inputting the date and maintenance content is provided on the operation history screen, and the control unit 11 of the management device 10 inputs the date and maintenance content to the input field of the operation history screen being displayed via the input unit 14. Accept. The control unit 11 stores the received date and the maintenance content in the storage unit 12 in association with each other, and when displaying the operation history screen, the control unit 11 displays the maintenance content in association with the date. As a result, it is possible to grasp the change in the number of occurrences of the interruption state before and after the maintenance is performed on this machine in the number of occurrences of the interruption state displayed on the operation history screen, and the operation content and operation efficiency can be improved by the maintenance. It is possible to judge (evaluate) whether or not it has been improved.

In the present embodiment, in addition to determining whether each machine is performing normal processing or in an interrupted state based on the fluctuation of the power consumption of each machine and the fluctuation of the surface temperature of the processing target, the power consumption It may be determined whether or not the state is suspended based only on the fluctuation of. In this case, only the power consumption monitoring unit 21 is provided in association with each machine, and the management device 10 performs normal processing by each machine based on the fluctuation of the power consumption of each machine monitored by the power consumption monitoring unit 21. You may decide whether you are doing it or in a suspended state. Further, instead of the power consumption monitoring unit 21, a heat consumption monitoring unit for measuring (detecting) the amount of heat consumed by each machine in the factory is provided, and each machine is suspended based on the fluctuation of the heat consumption of each machine. It may be configured to determine whether or not it is. Further, it may be determined whether or not each machine is in an interrupted state based on the fluctuation of the heat consumption of each machine and the fluctuation of the surface temperature of the processing target, and the fluctuation of the power consumption of each machine and the processing target may be determined. In addition to the fluctuation of the surface temperature of the above, the fluctuation of the heat consumption of each machine may be taken into consideration to determine whether or not each machine is in the suspended state.

(Embodiment 2)
A management system for managing the operating state of machines used in factories that manufacture aluminum sashes will be described. The controlled machine of the present embodiment is, for example, in an aluminum sash factory, by pressing a columnar billet made of an aluminum alloy against a mold having a hole of a predetermined shape while heating it. It is a machine for forming an elongated aluminum sash having a cross section of a shape, and is a machine including a configuration in which an aluminum alloy is extruded (pressurized). Therefore, in the management system of the present embodiment, the operating state of each machine installed in the factory is changed (setting change) with the amount of power supplied to each machine (power consumption) and the operation of each machine. It is analyzed and managed based on the pressure value (set value) in the pressurization process.

FIG. 11 is a block diagram showing a configuration example of the management system of the second embodiment. In the management system of the first embodiment, the management system of the present embodiment includes set value monitoring units 23a, 23b ... Provided in association with each machine instead of the surface temperature monitoring unit 22. The other configurations are the same as those in the first embodiment, and the same reference numerals are given to the same configurations, and the description thereof will be omitted. In the following, the set value monitoring units 23a, 23b ... May be collectively referred to as the set value monitoring unit 23, and the power consumption monitoring unit 21 and the set value monitoring unit 23 may be collectively referred to as the monitoring units 21 and 23. Each of the set 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. It is desirable that the monitoring unit 23 is a battery-powered measuring instrument that operates with electric power from the 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 pressurization process performed by each machine, for example. The set value monitoring unit 23 may be provided inside each machine, for example. In this case, the set value monitoring unit 23 acquires (monitors) the pressure value set by the operator via the input unit of the machine. Further, the set value monitoring unit 23 may be provided outside each machine. In this case, the set value monitoring unit 23 is provided with an input unit, and the pressure value set for the machine is acquired via the input unit. .. In the case of such a configuration, when the operator sets the pressure value for the machine, the operator inputs the set pressure value through the input unit of the set value monitoring unit 23. Further, each machine is provided with a display unit for displaying a set value (set pressure value), an image sensor is provided in the set value monitoring unit 23, and 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 that 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 few seconds and several tens of seconds, and transfers the acquired pressure value to the management device 10 together with the time (acquisition date and time) at the time of acquisition. Output.

In the management system of the present embodiment, the management device 10 acquires and stores the power consumption of each machine from the power consumption monitoring unit 21, and the set value monitoring unit 23 sets a set value (pressure value) for each machine. ) Is acquired and accumulated, the operating state of each device is analyzed based on the accumulated information, and the analysis result is output. In this embodiment, the surface temperature in the management system of the first embodiment is read as a pressure value (set value). For example, the machine DB 12b of the present embodiment has a set value monitoring unit ID string instead of the surface temperature monitoring unit ID string in the machine DB 12b shown in FIG. 3B. The set value monitoring unit ID string of the machine DB 12b stores identification information assigned in advance to the set value monitoring unit 23 provided in association with each machine in association with the machine ID. Further, the operation status DB 12d of the present embodiment has a pressure value sequence instead of the surface temperature sequence in the operation status DB 12d shown in FIG. 4A. The pressure value sequence of the operation status DB 12d stores information on the pressure value (set value) acquired from the set value monitoring unit 23 provided corresponding to the machine in association with the machine ID and the work ID. Further, the pressure value column includes a date and time column and a pressure column, and the date and time column and the pressure column store the acquisition date and time and the acquisition result (pressure value) at which the set value monitoring unit 23 acquired the pressure value, respectively. As a result, the operation status DB 12d of the present embodiment stores the power consumption of each machine as time-series data and the pressure value set for each device as time-series data.

In the management system of the present embodiment, the management device 10 performs the same processing as the processing shown in FIG. In the management device 10 of the present embodiment, the control unit 11 transmits the measurement information output from the power consumption monitoring unit 21 or the set value (pressure value) output from the set value monitoring unit 23 in step S13. It is determined whether or not the product has been acquired according to 13. When the control unit 11 determines that the measurement information or the set value has been acquired (S13: YES), the control unit 11 performs the processes of steps S14 to S15, and in step S16, the machine ID of the specified machine and the work of 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 for each machine acquired by the set value monitoring unit 23 that monitors each machine. Is stored in the operation status DB 12d as operation information indicating the operation state of each machine. Therefore, in the present embodiment, as the operation information indicating the operation state of each work, the time-series data of the amount of electric power supplied to each machine and the time-series data of the pressure value set in each machine are stored in the operation status DB 12d. Accumulate.

FIG. 12 is a flowchart showing a procedure example of analysis processing of the operation history of each machine by the management device 10 of the second embodiment. The process shown in FIG. 12 is obtained by adding step S61 instead of step S24 in the process shown in FIG. The description of the same steps as in FIG. 6 will be omitted. In the management system of the present embodiment, the control unit 11 of the management device 10 performs the processes of steps S21 to S23 as in the first embodiment. In step S21, the control unit (set value acquisition unit) 11 describes the machine ID, work ID, power consumption information (time series data of power consumption), and pressure value information (time series of pressure values) for one work. Data) is read from the operation status DB 12d.

The control unit (set value fluctuation acquisition unit) 11 acquires fluctuation information indicating the fluctuation of the pressure value set in this operation based on the time series data of the pressure value read from the operating status DB 12d (S61). In step S61, the control unit 11 compares the pressure values before and after in the time series data of the pressure value, and sequentially calculates the difference (variation) from the previous pressure value. The control unit 11 may calculate the 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 fluctuation information. Then, the control unit 11 determines (analyzes) whether or not an interruption state has occurred during this work based on the fluctuation information of the power consumption amount acquired in step S23 and the fluctuation information of the pressure value acquired in step S61. ) (S25). In step S25, when the fluctuation amount of the power consumption amount and the fluctuation amount of the pressure value are less than the predetermined values, the control unit 11 determines that the machine is in a normal state of normal operation. Further, when the fluctuation amount of the power consumption amount is equal to or more than a predetermined value or the fluctuation amount of the pressure value is equal to or more than a predetermined value, the control unit 11 interrupts the work because the machine is not operating normally. Judge that it is in a state.

In the case of a machine that forms an aluminum sash by extrusion, it is necessary to properly adjust the pressure when extruding the aluminum alloy (billet) in order to form it into an appropriate shape. In such a machine, when the worker works normally (the machine is operating), the amount of power supplied to the machine (the amount of power consumed by the machine) is substantially constant, and the set pressure value is also substantially constant. It becomes a value. On the other hand, if the worker is not able to work normally for some reason, the amount of electric power supplied to the machine fluctuates, and the set pressure value also fluctuates. 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 fluctuation of the pressure value is greater than or equal to a predetermined value). , It can be judged that the work is interrupted because proper molding is not performed. In addition, when some trouble occurs and the worker 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 interrupted.

When it is determined that the interrupted state has occurred (S25: YES), the control unit 11 identifies the cause of the interrupted state (S26). In step S26, the control unit 11 identifies the cause of the interruption state, for example, based on the fluctuation state of the power consumption and the fluctuation state of the pressure value determined to be the interruption state. As described in the first embodiment, for example, a template matching technique may be used to perform a process of determining whether or not an interrupted state has occurred during work and a process of identifying the cause of the interrupted state. After that, the control unit 11 performs the processes of steps S27 to S29 in the same manner as in the first embodiment. As a result, the presence or absence of an interrupted state during work can be detected based on the power consumption amount and the set value (pressure value) of each machine monitored by the monitoring units 21 and 23 accumulated in the operating status DB 12d, and the interrupted state Information on the suspended state can be stored in the operation history DB 12e when the above occurs.

The management device 10 of the present embodiment performs the same processing as the processing shown in FIG. 8, and displays the work history screen as shown in FIG. 9C and the operation history screen as shown in FIG. 10B on the display unit 15. Therefore, the work history screen can provide the analysis result of analyzing the work contents such as the number of occurrences and the duration of the interruption state that occurred during the work for each worker, and the operation history screen can be used for each machine during operation. It is possible to provide an analysis result that analyzes the operation contents such as the number of occurrences and duration of the interrupted state that has occurred.

Also in this embodiment, the same effect as that of the first embodiment can be obtained. Further, in the present embodiment, in a machine in which a set value is adjusted (set) and operated, such as a machine that forms an aluminum sash by extrusion processing, each of them is based on a small index of fluctuation in power consumption and fluctuation in the set value. It is possible to analyze the operating status and production efficiency of machines, and the working status and work efficiency of each worker. Also in the management system of the present embodiment, it is possible to apply the modification described as appropriate in the first embodiment.

(Embodiment 3)
The management system that provides the analysis result of the operating state of each machine and the working state of each worker analyzed by the management device 10 to the external device will be described. FIG. 13 is a block diagram showing a configuration example of the management system of the third embodiment. The management system of the present embodiment includes the same devices 10, 21 and 22 as the management system of the first embodiment, and further includes a terminal device 30. The same components as those of the management system of the first embodiment are designated by the same reference numerals, and the description thereof will be omitted. The management device 10 of the present embodiment is configured to be connectable to the network N. 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 smartphone, and is a terminal used by, for example, a factory manager or a manager. The terminal device 30 performs various information processing such as a process of requesting an analysis result of an operating state of each device and a working state of each worker from the management device 10, a process of acquiring the analysis result from the management device 10 and displaying the analysis result. .. The terminal device 30 includes a control unit 31, a storage unit 32, a communication unit 33, an input unit 34, a display unit 35, a reading unit 36, and the like, and each of these units is connected to each other via a bus. Each of the constituent units 31 to 36 of the terminal device 30 has the same configuration as each of the constituent units 11 to 16 of the management device 10, and performs the same processing. Therefore, the description thereof will be omitted. 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 operating state of each device and the working state of each worker from the management device 10. Remember. Further, 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 / receives information via the network N.

Also in the terminal device 30, 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 is portable via the reading unit 36. It may be read from the storage medium 3a and stored in the storage unit 32. Further, the control program 32P, the business management application 32AP, and various data stored in the storage unit 32 may be downloaded by the control unit 31 from an external device via the communication unit 33 and stored in the storage unit 32. Further, 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 the data from the semiconductor memory 3b and store the data in the storage unit 32.

In the management system of the present embodiment, the management device 10 performs the same processing as the processing 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 different from each other. It is stored in the operation status DB 12d as operation information indicating the operation state of the machine. Further, the management device 10 performs the same processing as the processing shown in FIG. As a result, the presence or absence of an interrupted state during work can be detected 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 operating status DB 12d, and the interrupted state can be detected. When it occurs, information on the suspended state can be stored in the operation history DB 12e.

14 and 15 are flowcharts showing a procedure example of the process of providing the analysis result by the management device 10. In FIGS. 14 and 15, 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. 9A to 10B used in the following description have the same configuration as that of the first embodiment. When the control unit 31 of the terminal device 30 receives an execution instruction of the business management application 32AP via, for example, the input unit 34, the control unit 31 activates (executes) the business management application 32AP (S71). When the business management application 32AP is activated, the control unit 31 displays the initial screen shown in FIG. 9A on the display unit 35 (S72).

The control unit 31 determines whether or not the execution instruction of the analysis by worker has been received via the input unit 34 (S73), and when it is determined that the execution instruction of the analysis by worker has been received (S73: YES). , The worker selection screen shown in FIG. 9B is displayed on the display unit 35 (S74). The control unit 31 accepts the worker selected by the input field in the worker selection screen (S75), and requests the management device 10 for the analysis result regarding the selected worker (S76).

The control unit 11 of the management device 10 reads the information of the work history (machine operation history) of the worker who requested the analysis result from the operation history DB 12e (S77). Then, 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. 9C, based on the read work history information (S78). The control unit 11 transmits the generated work history screen to the terminal device 30 requesting 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).

When the control unit 31 determines in step S73 that it has not received the execution instruction of the analysis by worker (S73: NO), that is, when it has received the execution instruction of the analysis by machine, the machine selection screen shown in FIG. 10A 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 regarding the selected machine (S83).

The control unit 11 of the management device 10 reads the operation history information 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. 10B, based on the read operation history information (suspension state information) (S85). ). The control unit 11 transmits the generated operation history screen to the terminal device 30 requesting 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). By the above-described processing, the management device 10 can provide the terminal device 30 with an analysis result (work history screen or operation history screen) of the work state of each worker and the operation state of each machine.

Also in this embodiment, the same effect as that of the first embodiment can be obtained. Further, in the present embodiment, for example, a manager or the like who is not in the factory can view the work history screen and the operation history screen from the management device 10 by using the terminal device 30, so that the work state of each worker and the operation of each machine can be viewed. The status can be grasped even remotely. Further, the terminal device 30 is not limited to the terminal used by the factory manager or the manager, but may be a terminal used by a worker. In this case, each worker can view 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 the present embodiment, it is possible to apply the modification described as appropriate in the first embodiment. Further, the configuration of the present embodiment can be applied to the management system of the second embodiment, and the same effect can be obtained even when the configuration of the present embodiment is applied to the management system of the second embodiment.

Also in the present embodiment, the terminal device 30 may be provided with an analysis result for each cause of the interruption state (a graph showing the number of occurrences of the interruption state and the transition of the duration for each work day). 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 should be considered as exemplary in all respects and not restrictive. The scope of the present invention is indicated by the scope of claims, not the above-mentioned meaning, and is intended to include all modifications within the meaning and scope equivalent to the scope of claims.

10 Management device (information processing device)
11 Control unit 12 Storage unit 13 Communication unit 14 Input unit 15 Display unit 21a, 21b Power consumption monitoring unit 22a, 22b Surface temperature monitoring unit 23a, 23b Set value monitoring unit 30 Terminal device 31 Control unit 34 Input unit 35 Display unit

Claims (13)

A consumption acquisition unit that acquires the amount of electricity or heat consumed by each of the multiple machines installed in the factory in chronological order.
A power fluctuation acquisition unit that acquires fluctuation information indicating fluctuations in the power amount or heat amount based on the acquired power amount or heat amount for each machine.
An analysis unit that analyzes the operating state of the machine based on the fluctuation information acquired for each machine.
An information processing device including an output unit that outputs an analysis result regarding the operating state of the machine. Based on the fluctuation information acquired for each machine, it is provided with a calculation unit that calculates the number of abnormal fluctuations in the electric energy or heat amount and the duration of the abnormal fluctuations.
The information processing apparatus according to claim 1, wherein the analysis unit analyzes an operating state of the machine based on the number of times and the duration calculated by the calculation unit. Each person in charge of operating the machine is provided with a person in charge information acquisition unit for acquiring the fluctuation information in the operating time zone by the person in charge.
The information processing device according to claim 1 or 2, wherein the analysis unit analyzes the operating state of the machine for each person in charge based on the fluctuation information for each person in charge. A measurement value acquisition unit that acquires measurement values that fluctuate with the operation of the machine in chronological order,
Each machine is provided with a measured value fluctuation acquisition unit that acquires fluctuation information indicating the fluctuation of the measured value based on the acquired measured value.
The analysis unit analyzes the operating state of the machine based on the acquired fluctuation information of the electric energy or heat amount and the fluctuation information of the measured value for each machine, any one of claims 1 to 3. The information processing device described in. A setting value acquisition unit that acquires setting values that fluctuate with the operation of the machine in chronological order,
Each machine is provided with a set value fluctuation acquisition unit that acquires fluctuation information indicating the fluctuation of the set value based on the acquired set value.
The analysis unit analyzes the operating state of the machine based on the acquired fluctuation information of the electric energy or heat amount and the fluctuation information of the set value for each machine, any one of claims 1 to 3. The information processing device described in. The information processing apparatus according to any one of claims 1 to 5, further comprising a factor specifying unit for specifying a factor that causes an operating state indicated by the analysis result based on the analysis result by the analysis unit. Obtain the amount of electricity or heat supplied to each of multiple machines installed in the factory in chronological order.
For each machine, based on the acquired electric energy or heat amount, fluctuation information indicating the fluctuation of the electric energy or heat amount is acquired.
Based on the fluctuation information acquired for each machine, the operating state of the machine is analyzed.
A program that causes a computer to execute a process that outputs analysis results related to the operating status of the machine. Based on the analysis result, evaluation information for evaluating the operating state of each machine or evaluation information for evaluating the operating state of the machine is generated for each person in charge of operating the machine.
The program according to claim 7, wherein the computer executes a process of outputting the generated evaluation information. Based on the analysis result, the factors that cause the operating state indicated by the analysis result are identified.
The program according to claim 7 or 8, wherein the computer executes a process of outputting the specified factor. Accepting choices for any of the machines installed in the factory, for any of the personnel running the machine, or for any of the factors that cause the machine to stop running,
A predetermined external device analyzes the analysis result regarding the operating state of the machine, which is analyzed based on the fluctuation information indicating the fluctuation of the amount of electric power or the amount of heat supplied to the machine with respect to the received machine, the person in charge, or the factor. Obtained from
A program that causes a computer to execute a process that outputs the acquired analysis results. Information on the plurality of machines, information on the plurality of persons in charge, and information on the plurality of factors are displayed on the display unit.
According to claim 10, the computer is made to execute a process of accepting a selection for any of the machines, a selection for any of the persons in charge, or a selection for any of the factors via an input unit based on the displayed information. The program described. Based on the analysis result, the evaluation information regarding the operating state evaluated for each machine, the evaluation information regarding the operating state evaluated for each person in charge, or the evaluation information regarding the operating state evaluated for each factor is acquired.
The program according to claim 10 or 11, wherein the computer executes a process of outputting the acquired evaluation information. Acquire the factors that cause the operating state indicated by the analysis results, which are identified based on the analysis results.
The program according to any one of claims 10 to 12, which causes the computer to execute a process of outputting the acquired factor.