阅读说明：本技术 管理装置以及管理系统 (Management device and management system ) 是由 越石光 山本泰之 于 2020-03-04 设计创作，主要内容包括：本发明提供管理装置以及管理系统。管理装置具备：数据收集部,其至少收集第1机床加工后的工件的质量信息和其他机械的运行信息；解析部,其对第1机床的加工后的工件的质量信息与其他机械的运行信息的变化的相关关系进行解析；动作计划制定部,其基于解析部解析的相关关系,制定限制其他机械的动作的动作计划,以便在第1机床进行高品质加工时降低第1机床的环境温度的变化；以及动作指示部,其基于动作计划制定部制定的动作计划,对其他机械发出动作指示。(The invention provides a management device and a management system. The management device is provided with: a data collection unit that collects at least quality information of a workpiece machined by the 1 st machine tool and operation information of another machine; an analysis unit that analyzes a correlation between quality information of a workpiece machined by the 1 st machine tool and a change in operation information of another machine; an operation plan making unit that makes an operation plan for limiting the operations of other machines so as to reduce the change in the ambient temperature of the 1 st machine tool when the 1 st machine tool performs high-quality machining, based on the correlation analyzed by the analyzing unit; and an operation instruction unit that gives an operation instruction to another machine based on the operation plan created by the operation plan creation unit.)

1. A management device for a plant facility, which manages operations of at least one other machine and a 1 st machine tool that performs high-quality machining, at a manufacturing site where the other machine is operated, the management device comprising:

a data collection unit that collects at least quality information of the workpiece after machining by the 1 st machine tool and operation information of the other machine;

an analysis unit configured to analyze a correlation between quality information of the workpiece machined by the 1 st machine tool and a change in the operation information of the other machine;

an operation plan making unit that makes an operation plan for limiting the operation of the other machine so as to reduce a change in the ambient temperature of the 1 st machine tool when the 1 st machine tool performs high-quality machining, based on the correlation analyzed by the analyzing unit; and

and an operation instruction unit configured to instruct the other machine to operate based on the operation plan created by the operation plan creating unit.

2. The management apparatus of plant equipment according to claim 1,

the other machine is a 2 nd machine different from the 1 st machine,

the limitation is to limit a change in at least one of a speed, an acceleration, and an operating frequency of the axis of the 2 nd machine tool.

3. The management apparatus of plant equipment according to claim 2,

the limitation is performed on a specific axis of the 2 nd machine tool.

4. The management apparatus of plant equipment according to claim 1,

the other machine is an air conditioner different from the 1 st machine tool,

the limitation is a limitation on a change in temperature setting of the air conditioner.

5. The management apparatus of plant equipment according to claim 1,

the processing program of the 1 st machine tool is read in advance, and the limitation is performed on the other machine tool before a timing at which the 1 st machine tool starts predetermined high-quality processing.

6. The management apparatus of plant equipment according to claim 1,

the limitation is an adjustment of at least one of a start timing and an end timing of the predetermined operation of the other machine.

7. The management apparatus of plant equipment according to claim 1,

and calculating the correlation through machine learning.

8. The management apparatus of plant equipment according to claim 1,

the data collection part further collects temperature information generated in the 1 st machine tool detected by a temperature sensor,

the analysis unit analyzes a correlation between the temperature information generated in the 1 st machine tool and the change in the operation information of the other machine,

the operation plan making unit makes an operation plan for limiting the operation of the other machine based on the correlation between the temperature information and the change in the operation information analyzed by the analyzing unit, so as to reduce the change in the ambient temperature of the 1 st machine tool when the 1 st machine tool performs high-quality machining.

9. A management system which connects a plurality of management apparatuses of plant equipment according to claim 1 to each other via a network,

the analysis result of the analysis unit can be shared among the management apparatuses of the plurality of plant equipments.

Technical Field

The present disclosure relates to a management device and a management system, and more particularly, to a management device and a management system for managing operations of a plurality of industrial machines installed in a manufacturing site such as a factory.

Background

In recent years, many industrial machines such as machine tools and robots are installed in manufacturing sites such as factories and the industrial machines are operated under the control of a management device or a management system to manufacture a large amount of products (for example, japanese patent application laid-open No. 2002-373191). Under such circumstances, high-quality machining of external components such as IT components and accessories is often performed in a machine tool such as a machining center (for example, japanese patent application laid-open No. 2013-058035).

When an industrial machine is operated to manufacture and transport a product, heat is generated in the industrial machine. Heat generated in an industrial machine may be transmitted along air, walls, floors, and the like to affect the operation of other industrial machines. For example, heat generated during rough machining in a machining center or heat generated by operation of peripheral machines such as a conveyor may be transmitted to another machining center via the environment (air or the like). Further, when the ambient temperature of a machining center that performs high-quality finishing due to the influence of heat generated in surrounding machinery changes, the quality of a machined surface may be greatly degraded.

In view of the layout of the air conditioner and the peripheral devices, it is conceivable to operate a cooling device such as an air conditioner at an optimum setting in a time zone in which a failure occurs, thereby suppressing the influence of heat on finishing. However, this method has another problem that the overall work efficiency of the manufacturing site is lowered. Therefore, this method is not a realistic solution.

In addition, the layout of the industrial machine in the manufacturing site can be changed. For example, the machining center for finishing may be provided on a different floor from the other machining centers. However, the work of moving heavy industrial machines in large quantities becomes a great burden. In addition, specialization of machines (in the case of specialization of machines, only finishing is possible in a machining center for finishing) also causes a reduction in the machining efficiency of the entire manufacturing site. Therefore, it is desirable to perform the corresponding method more flexibly.

Disclosure of Invention

One aspect of the present disclosure is a management device for a plant that manages operations of at least one other machine at a manufacturing site where a 1 st machine tool that performs high-quality machining and the other machine are operated, the management device including: a data collection unit that collects at least quality information of a workpiece machined by the 1 st machine tool and operation information of another machine; an analysis unit that analyzes a correlation between quality information of a workpiece machined by the 1 st machine tool and a change in operation information of another machine; an operation plan making unit that makes an operation plan for limiting the operations of other machines so as to reduce the change in the ambient temperature of the 1 st machine tool when the 1 st machine tool performs high-quality machining, based on the correlation analyzed by the analyzing unit; and an operation instruction unit that gives an operation instruction to another machine based on the operation plan created by the operation plan creation unit.

Another aspect of the present disclosure is a management system in which management apparatuses of a plurality of plant apparatuses are connected to each other via a network, and analysis results of an analysis unit can be shared among the management apparatuses of the plurality of plant apparatuses.

According to an aspect of the present disclosure, a mechanical environment in which high-quality machining can be performed can be easily established without greatly reducing machining efficiency in a manufacturing site.

Drawings

The object and features of the present disclosure can be more clearly understood by describing the following embodiments with reference to the drawings.

Fig. 1 is a diagram schematically showing an operating environment of a management device according to an embodiment.

Fig. 2 is a schematic hardware configuration diagram of a management device according to an embodiment.

Fig. 3 is a schematic functional block diagram of the management device according to embodiment 1.

Fig. 4 is a diagram showing an example of management information.

Fig. 5 is a diagram showing an example of the correlation information.

Fig. 6 is a diagram showing an example of the operation plan created by the operation plan creating unit.

Fig. 7 is a diagram showing another example of the operation plan created by the operation plan creating unit.

Fig. 8 is a diagram showing an example of a screen displayed on the display device by the display unit.

Fig. 9 is a diagram showing another example of the operation plan created by the operation plan creation unit.

Fig. 10 is a schematic configuration diagram of the management system according to embodiment 2.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings.

Fig. 1 is a diagram schematically showing an operating environment of a management device according to an embodiment of the present disclosure. As illustrated in fig. 1, the management device according to one embodiment of the present disclosure operates in an environment in which a plurality of devices including a cloud server 6, a fog computer 7, and an edge computer 8 are each connected to a wired/wireless network. The system illustrated in fig. 1 is logically divided into three layers: a layer including the cloud server 6 and the like, a layer including the fog computer 7 and the like, a layer including the edge computer 8 (a robot controller that controls a robot included in the unit 9, a control device that controls a machine tool, an air conditioner, a ventilator, and the like installed at a manufacturing site), and the like. In such a system, the management device according to one aspect of the present disclosure may be installed in any one of the cloud server 6, the fog computer 7, and the edge computer 8. The management device can share data with each of the plurality of devices via a network, or collect various data acquired by the edge computer 8 into the mist computer 7 and the cloud server 6 to perform large-scale analysis. The management device can control the operation of each edge computer 8 based on the analysis result. In the system illustrated in fig. 1, a plurality of cells 9 are provided in each plant in each place (for example, one cell 9 is provided on each floor of the plant). In this system, the mist computer 7 in the upper layer manages each unit 9 in a predetermined unit (a factory unit, a plurality of factories of the same manufacturer, and the like). The cloud server 6 on the upper layer can further collect and analyze data collected and analyzed by the mist computer 7. The information obtained as a result of collection, analysis, and the like of data in the cloud server 6 may be flexibly applied to control and the like in each edge computer 8.

Fig. 2 is a schematic hardware configuration diagram showing the management device 1 according to the embodiment of the present disclosure. The management device 1 of the present embodiment can be installed in the edge computer 8, the fog computer 7, and the cloud server 6 illustrated in fig. 1. In the present embodiment, an example is shown in which the management apparatus 1 is installed as the fog computer 7 that manages the operations of the plurality of edge computers 8.

A CPU (Central Processing Unit) 11 included in the management apparatus 1 of the present embodiment is a processor that controls the management apparatus 1 as a whole. The CPU11 reads a system program stored in a ROM (Read only memory) 12 connected via the bus 22, and controls the entire management apparatus 1 in accordance with the system program. Temporary calculation data, display data for displaying on the display device 70, various data input by the operator via the input device 71, and the like are stored in the RAM (Random Access Memory) 13.

The nonvolatile memory 14 is configured by, for example, a memory backed up by a battery (not shown), an SSD (solid state Drive), or the like. The nonvolatile memory 14 is a memory that maintains a storage state even when the power supply of the management apparatus 1 is turned off. The nonvolatile memory 14 has a setting area for storing setting information related to the operation of the management apparatus 1. The nonvolatile memory 14 stores data input from the input device 71, and various data (operation information of the machine tool 2, information on the quality of machining of a workpiece machined by the machine tool 2, operation information of the air conditioner 3, and the like) acquired from an edge computer such as the machine tool 2 and the air conditioner 3 under the management of the management device 1. The nonvolatile memory 14 stores data read via an external storage device not shown and a network. The program and various data stored in the nonvolatile memory 14 may be expanded in the RAM13 at the time of execution and use. In addition, a system program including a known analysis program for analyzing various data and the like is written in advance in the ROM 12.

The management apparatus 1 is connected to a wired/wireless network 5 via an interface 20. At least one machine tool 2, an air conditioner 3 installed at a manufacturing site, an air conditioning management device (not shown) for managing the air conditioner 3, and the like are connected to the network 5. These devices connected to the network 5 exchange data with the management device 1.

Data and the like obtained as a result of executing each data, program and the like read into the memory are output to the display device 70 via the interface 18 and displayed. The input device 71, which is constituted by a keyboard, a pointing device, and the like, transmits instructions, data, and the like based on operations performed by the operator to the CPU11 via the interface 19.

Fig. 3 is a schematic functional block diagram of the management device 1 according to embodiment 1. The functions of the functional blocks shown in fig. 3 are realized by the CPU11 included in the management apparatus 1 shown in fig. 2 executing a system program to control the operations of the respective sections of the management apparatus 1.

The management device 1 of the present embodiment includes a data collection unit 100, an analysis unit 110, an action planning unit 120, an action instruction unit 130, and a display unit 140. The data collection unit 100 collects data to be analyzed from edge computers (the machine tool 2, peripheral devices of the machine tool 2, the air conditioner 3, and the like) under the management of the management device 1. The analysis unit 110 analyzes the data collected by the data collection unit 100. The action plan creating unit 120 creates an action plan for each edge computer based on the analysis result of the analysis unit 110. The motion instruction unit 130 instructs the motion to each edge computer based on the motion plan of each edge computer prepared by the motion plan preparation unit 120. The display unit 140 displays the analysis result of the analysis unit 110 and the operation plan created by the operation plan creation unit 120 on the display device 70. The nonvolatile memory 14 of the management device 1 is provided with a management information storage unit 200, an acquired data storage unit 210, an analysis result storage unit 220, and an operation plan storage unit 230. The management information storage unit 200 stores management information on the edge computer under the management of the management apparatus 1. The acquired data storage unit 210 stores data collected by the data collection unit 100. The analysis result storage unit 220 stores the result analyzed by the analysis unit 110. The action plan storage unit 230 stores the action plan created by the action plan creation unit 120.

The CPU11 of the management device 1 shown in fig. 2 executes a system program read from the ROM12, and mainly performs an arithmetic process using the RAM13 and the nonvolatile memory 14 performed by the CPU11 and a data input/output process with the machine tool 2, the air conditioner 3, and the like via the interface 20, thereby realizing the data collection unit 100. The data collection unit 100 is a functional unit that collects information from edge computers such as the machine tool 2 and the air conditioner 3 managed by the management device 1 based on the management information stored in the management information storage unit 200, and stores the information in the acquisition data storage unit 210. The information collected by the data collection unit 100 from the edge computer includes operation information of the edge computer and information about the environment detected by the edge computer. The data collection unit 100 acquires, for example, information such as operation information of each machine tool 2 (such as the speed, acceleration, and operating frequency of each axis included in the machine tool 2) and the content of machining performed by each machine tool 2 (such as rough machining and finish machining) from the machine tool 2, which is an edge computer. The data collection unit 100 acquires, from each machine tool 2, quality information of the workpiece machined by each machine tool 2 (dimensional accuracy of the machined workpiece, surface quality of the machined workpiece, and the like), operation information of peripheral devices that perform processing-related assistance in the periphery of each machine tool 2, and the like. The data collection unit 100 may acquire, for example, a machining program executed by the machine tool 2, values detected in each part of the machine tool 2, information on the operation of the machine tool 2 managed by a production planning device or the like, and data measured or detected by a sensor or the like mounted on the machine tool 2. The data collection unit 100 may acquire information such as operation information, machining content, and quality information of the machine tool 2 from the machine tool 2 based on information input by the operator or the like. The data collection unit 100 may acquire not only the current operation information of each edge computer and the environment-related information, but also the operation information of each edge computer and the environment-related information recorded in the past. The data collection unit 100 may acquire operation information of each edge computer, which is to be specified in the future. The data collection unit 100 may acquire, for example, operation information of the air conditioner 3, information related to a set temperature, and environmental information (such as an environmental temperature) of the air conditioner 3 from the air conditioner 3 as an edge computer or an air conditioning management device (not shown) that manages the air conditioner 3.

Fig. 4 shows an example of management information about an edge computer stored in the management information storage unit 200. The management information stored in the management information storage unit 200 includes identification information for uniquely identifying the edge computer managed by the management apparatus 1 and information related to the edge computer. The information related to the edge computer included in the management information is, for example, the device name of the edge computer, the category of the edge computer, the installation location of the edge computer, and the connection information of the edge computer. The installation position of the edge computer included in the management information can be represented by, for example, a factory name, a floor name, a room name, a coordinate position in a room, and the like, in which the edge computer is installed. The installation position of the edge computer may be represented by latitude, longitude, altitude, or the like. The connection information of the edge computer included in the management information can be represented by an address on the network used when the edge computer is connected to the management apparatus 1 via the network 5. The connection information of the edge computer may be identification information of another edge computer to which the edge computer is attached (in the example of fig. 4, a mist collector having identification information of 5 is attached to the machine tool 2 having identification number 1 as a host device, and information indicating a mist collector having identification information of 5 may be acquired via the machine tool 2 having identification number 1 as a host device). Although not shown in fig. 4, information on another device that acquires information on the edge computer may be managed for each edge computer, for example. For example, when the edge computer is a machine tool, information such as a production planning device that manages the machine tool and a CAD/CAM device that provides machining information to the machine tool may be managed in association with the machine tool. The management information stored in the management information storage unit 200 may include at least information necessary for collecting data on each edge computer and information for grasping the positional relationship of each edge computer.

The CPU11 of the management device 1 shown in fig. 2 executes a system program read from the ROM12, and the CPU11 mainly performs an arithmetic process using the RAM13 and the nonvolatile memory 14 to realize the analysis unit 110. The analysis unit 110 is a functional unit that analyzes the correlation between the machining result in each machine tool 2 and the operation information of other edge computers (other machine tools 2, the air conditioner 3, and the like) based on the data (the data stored in the acquired data storage unit 210) collected by the data collection unit 100. The analysis unit 110 stores the analysis result in the analysis result storage unit 220. The analysis unit 110 analyzes the correlation between the operation information of each edge computer stored in the acquired data storage unit 210 and the quality information of the machined workpiece machined by each machine tool 2, for example.

The analysis unit 110 refers to the installation position of the edge computer stored in the management information storage unit 200, and extracts a group of the edge computer to be analyzed and other edge computers. Among the group extracted as the analysis object, the edge computer and the other edge computers have a predetermined positional relationship with each other. Here, the predetermined positional relationship refers to a positional relationship between the other edge computer and the edge computer that may be affected by heat generation due to the operation of the other edge computer. For example, a group of machine tools 2 and other edge computers installed in the same room, a group of machine tools 2 and other edge computers installed on the same floor, a group of machine tools 2 installed on the floor and air conditioners 3 as other edge computers installed on the floor, and the like are extracted as a group of machine tools 2 and other edge computers to be analyzed.

The analysis unit 110 analyzes the correlation between the quality of the processed workpiece processed by the machine tool 2 and the change in the operation information of the other edge computers in the finish processing of the processed workpiece, for the group thus extracted. The analysis unit 110 analyzes the correlation between the quality of the processed workpiece processed by the machine tool 2 and the change in the operation information of the other edge computers during the finish processing of the processed workpiece, by using a known analysis technique such as regression analysis or correlation analysis. The analysis unit 110 may perform regression analysis and correlation analysis, for example, by using a quality value calculated based on the quality of the machined workpiece machined by the machine tool 2 as a target variable, and using an operation change value calculated based on a change in operation information of another edge computer during the finish machining of the machined workpiece by a predetermined criterion as an explanatory variable. Here, the operation change value is, for example, a value indicating the magnitude of change in the amount of heat generation, heat energy, or the like in the other edge computers. This makes it possible to analyze the correlation between the quality of the processed workpiece processed by the machine tool 2 and the change in the operation information of the other edge computers during the finish processing of the processed workpiece. A quality value indicating the quality of the machined workpiece machined by the machine tool 2 is calculated based on the quality information of the machined workpiece machined by the machine tool 2 stored in the acquired data storage unit 210 by a predetermined criterion. For example, a function (a function for calculating a larger value when the accuracy and the surface quality are better) in which values indicating the accuracy and the surface quality of the processed workpiece obtained by measuring the processed workpiece in advance are independent variables may be predetermined as the quality value, and the value calculated by the function may be used as the quality value. Further, a function (a function of calculating a larger value when a parameter value that greatly affects heat generation in another edge computer is large) in which a change amount in finishing of a value of a parameter (speed, acceleration, and operation frequency of each axis in the machine tool 2 and the robot, temperature setting in the air conditioner 3, or the like) related to an operation that causes heat generation in another edge computer is set as an argument may be predetermined, and a value calculated from the function may be used as the operation change value.

Preferably, the analysis unit 110 analyzes the correlation between the machine tool 2 and the other edge computers using data acquired in a situation where the machine tool 2 and the other edge computers are not operating (or a situation where a predetermined operation is continued) among the data collected by the data collection unit 100. In order to create such data, the operator may set a process of collecting data by operating only the machine tools 2 and other edge computers different from the machine tools 2 after arranging the edge computers at the manufacturing site. The analysis unit 110 may analyze the correlation between the machine tool 2 and 2 or more other edge computers based on data acquired in an environment where the machine tool 2 and the 2 or more other edge computers operate. The analysis unit 110 may perform analysis while acquiring a difference between the data by superimposing (adding) the influence (heat generation) of the operation of 2 or more other edge computers on the finish machining of the machine tool 2.

Fig. 5 shows an example of the correlation information created based on the analysis result of the analysis unit 110 and stored in the analysis result storage unit 220. The correlation information is information in which the identification information of the machine tool 2, the identification information of the other edge computers, and the correlation thereof are correlated with each other. Here, the correlation is information indicating, for example, a correlation between the quality of the machined workpiece machined by the machine tool 2 and a change in the operation information of the other edge computers in the finish machining of the machined workpiece. In the example of fig. 5, the correlation between the quality of the machined workpiece machined by the machine tool 2 and the change in the operation information of the other edge computers in the finish machining of the machined workpiece is expressed in high, medium, and low. For example, the correlation may be expressed using other expressions such as the value of the correlation coefficient. In addition, when a correlation function, a correlation model, or the like representing the characteristics of the correlation between the quality of the processed workpiece processed by the machine tool 2 and the change in the operation information of the other edge computers during the finish machining of the processed workpiece is created, the analysis unit 110 may store the created correlation function and correlation model in the analysis result storage unit 220.

The management device 1 shown in fig. 2 includes a CPU11 that executes a system program read from a ROM12, and mainly a CPU11 that implements the operation planning unit 120 by performing arithmetic processing using a RAM13 and a nonvolatile memory 14. The operation planning unit 120 is a functional unit that, based on the data collected by the data collection unit 100 (data stored in the acquired data storage unit 210) and the correlation information created by the analysis unit 110 (correlation information stored in the analysis result storage unit 220), plans an operation that imposes a predetermined restriction on or releases the restriction from the operation of the edge computer under the management of the management device 1. The action plan creating unit 120 stores the created action plan in the action plan storage unit 230. For example, when it is determined that there is a machine tool 2 for finishing with reference to the data collected by the data collection unit 100, the operation planning unit 120 specifies an edge computer having a high correlation with the machine tool 2 based on the analysis result of the analysis unit 110. Then, the operation planning unit 120 confirms the operation state of the edge computer related to the machine tool 2 that performs finishing. When a change occurs in the operation state that affects the finishing in the finishing of the machine tool 2 in the edge computer, an operation plan that imposes restrictions on the operation of the edge computer, such as reduction in the movement speed and acceleration of the axis and suppression of a change in the movement speed and acceleration of the axis, is stored in the operation plan storage unit 230. When finishing of the machine tool 2 is completed, the operation plan making unit 120 stores the operation plan in which the restriction imposed on the operation of the edge computer is removed, in the operation plan storage unit 230.

The action plan making unit 120 may make an action plan for limiting the action of the edge computer according to a predefined action limiting rule. The operation restriction rule used by the operation planning unit 120 can be defined based on the relationship between the degree of correlation between the quality of the processed workpiece processed by the machine tool 2 and the change in the operation information of the machine tool 2, which is another edge computer, in the finish machining of the processed workpiece, and the predetermined restriction on the controllable operation of the other edge computer. The action planning unit 120 can use, for example, action restriction rules as described below. On the condition that there is a high correlation between the mass of the processed workpiece processed by the 1 st machine tool 2 and the change in the operation information of the 2 nd machine tool 2 as another edge computer in the finish processing of the processed workpiece, the operation of the shaft is restricted so that the moving speed of the shaft of the 2 nd machine tool 2 becomes equal to or lower than a predetermined maximum speed Flim1 and the acceleration of the shaft becomes equal to or lower than a predetermined maximum acceleration Falim 1. Further, a rule may be considered in which the change in the movement speed of the axis of the 2 nd machine tool 2 is suppressed within ± Fvlim in the finishing of the 1 st machine tool 2. In addition, as another example of the motion restriction rule used by the motion planning unit 120, the following rule may be considered: on the condition that there is a correlation of a medium or higher degree between the quality of the processed workpiece processed by the 1 st machine tool 2 and the operation information of the air conditioner 3 as another edge computer in the finish processing of the processed workpiece, a restriction is imposed so that the temperature setting of the air conditioner 3 is not changed in the finish processing. The action restriction rule may be a rule that restricts only a specific action of another edge computer. For example, when the other edge computer is a machine tool, an operation restriction rule may be created that restricts only an axis having a large heat generation amount.

The predetermined action restriction rule used by the action planning unit 120 may be a rule for applying a composite action restriction to a plurality of other edge computers. As described below, the action planning unit 120 can use an action restriction rule that imposes a composite action restriction. The following rules may be enumerated: when there is a high correlation between the quality of the processed workpiece processed by the 1 st machine tool 2 and the change in the operation information of the plurality of other edge computers, the operation is restricted so that the amount of heat generation in the 2 nd edge computer among the plurality of other edge computers decreases at the timing at which the amount of heat generation in the 1 st edge computer among the plurality of other edge computers increases. Such a rule is obtained by normalizing the restriction of the operation of the other edge computer having a high correlation so as to synchronously change the environmental temperature of the machine tool 2 that performs the finishing operation without changing the environmental temperature.

The action plan created by the action plan creating unit 120 may define a time period for which a restriction is imposed on the action of another edge computer. As illustrated in fig. 6, the operation planning unit 120 refers to the data collected by the data collection unit 100 to recognize that the machine tool 2 is at n₁After minutes to n₂And finishing the product after a period of minutes. In this case, the action planning unit 120 uses the other edge computer a as the n₁After minutes to n₂In order to prevent the change in the amount of heat generated that affects the finish machining of the machine tool 2 during the period after the minute, an operation plan such as not changing parameters during the operation is created and stored in the operation plan storage unit 230. In this case, considering that there is a time lag (heat transfer delay) before the change in the amount of heat generated in the edge computer affects the machine tool 2, the operation plan making unit 120 may make only the advance time lag T as in the other edge computer b_lAnd (4) starting the action plan of the limitation of the action.

Further, as illustrated in fig. 7, when there are a plurality of edge computers that affect the finish machining of the machine tool 2, the operation plan making unit 120 may make an operation plan in which the timings of limiting the operations of the plurality of edge computers are shifted, so as to suppress a change in the ambient temperature of the machine tool 2.

The action instruction unit 130 is a functional unit that gives an action instruction to each edge computer based on the action plan created by the action plan creation unit 120 (the action plan stored in the action plan storage unit 230). When the operation of the edge computer is restricted in the operation plan, the operation instruction unit 130 instructs the edge computer to restrict the operation to be restricted. When it is determined in the operation plan that the limitation of the operation of the edge computer is to be removed, the operation instruction unit 130 instructs the edge computer to remove the limitation of the operation to be removed.

The CPU11 included in the management device 1 shown in fig. 2 executes a system program read from the ROM12, and mainly performs an arithmetic process using the RAM13 and the nonvolatile memory 14 performed by the CPU11 and a data output process to the display device 70 via the interface 18, thereby realizing the display unit 140. The display unit 140 is a functional unit that displays, on the display device 70, the management information stored in the management information storage unit 200, the data collected by the data collection unit 100 (the data stored in the acquired data storage unit 210), the operation plan created by the operation plan creation unit 120, and the like. As illustrated in fig. 8, the display unit 140 displays the edge computer under the management of the management apparatus 1 on the display apparatus, for example, based on the management information stored in the management information storage unit 200 and the data collected by the data collection unit 100. The display unit 140 may display the operating status of the edge computer designated via the input device 71 on the display device 70. When a predetermined edge computer is designated, the display unit 140 may change the color of another edge computer (for example, the higher the correlation is, the warmer color is displayed, the higher the calorific value is, the darker color is displayed) or display the color with a mark according to the correlation with the edge computer or the calorific value of the edge computer. As illustrated in fig. 6 and 7, the display unit 140 may display the operation plan of each edge computer along the time axis. Further, the operator viewing the display may be configured to edit the operation plan stored in the operation plan storage unit 230 by operating the input device 71.

The management apparatus 1 of the present embodiment having the above-described configuration analyzes the correlation between the machine tool 2 and the other edge computers for each edge computer under management. The management device 1 can restrict the operation of only the edge computer that affects finishing by restricting the operation of the other edge computers when the machine tool 2 performs finishing based on the analysis result. Thus, a machining environment that maintains a high quality machining level can be easily established without greatly reducing the machining efficiency of the entire manufacturing site.

As a modification of the management device 1 of the present embodiment, the operation plan making unit 120 may make an operation plan in which the production plan is changed so as to shift the timing of finishing performed in a plurality of machine tools, for example, edge computers, based on the production plan of each machine tool made by the production planning device. The machine tool generates heat greatly during rough machining and generates heat less during finish machining. Therefore, by shifting the timing of finish machining in a plurality of machine tools on the operation plan in which the production plan is changed in advance and averaging heat generation over time in the entire manufacturing site, it is possible to easily create a machining environment that maintains a high-quality machining level without significantly reducing efficiency.

As another modification of the management device 1 of the present embodiment, when an operation plan for restricting operations of the edge computer at a predetermined timing is prepared, the operation plan preparing unit 120 may prepare the operation plan as follows. The operation plan making unit 120 makes an operation plan so as to set operation parameters and perform a retracting operation so as to retract the work delay due to the restriction of the operation at a timing different from a predetermined timing, that is, a timing not affecting the finish machining of another machine tool. For example, as illustrated in fig. 9, the operation of the other edge computer a whose operation is restricted in the finishing of the machine tool is delayed by the restricted operation amount. Therefore, after finishing is completed in the machine tool, the operation plan is made such that, for example, a higher magnification is given to the shaft speed to perform the retracting operation, whereby the entire work delay can be reduced. Such a retracting operation may be appropriately performed at a predetermined timing that does not affect the range of high-quality machining such as finishing by another machine tool.

As another modification of the management device 1 according to the present embodiment, the analysis process of the analysis unit 110 may be performed by a known machine learning method. In this case, the analysis unit 110 constructs a learning model representing the correlation between a plurality of operation parameters of another edge computer and the quality of the processed workpiece processed by the machine tool 2, for example. The analysis unit 110 can determine the content of the limitation of the operation of the other edge computer by the operation planning unit 120 (appropriately select the parameter to be limited so as not to affect the processing) by using the learning model.

Other modifications of the present embodiment may be configured as follows. A temperature sensor is provided at each edge computer or at the periphery of the edge computer. The data collection unit 100 collects temperature information detected by the temperature sensor. The analysis unit 110 uses the collected temperature information to analyze the correlation with the operation information of the other edge computers. By using the temperature sensor, the analysis unit 110 can analyze the correlation between the change in the operating state of the other edge computer and the change in the ambient temperature of the machine tool 2. Therefore, the accuracy of analysis of the correlation can be improved. The analysis unit 110 can also distinguish whether the quality of the workpiece machined by the machine tool 2 is due to a temperature change or other factors. Therefore, the analysis unit 110 can analyze the correlation between the quality of the workpiece machined by the machine tool 2 and the change in the operation information of the other edge computers with higher accuracy (excluding irrelevant data). The temperature sensor may be configured to be connectable to the network 5 via another computer or the like different from the edge computer to collect data. Thus, even if the machine tool 2 as an edge computer is not operated, the correlation between the change in the operating state of another edge computer and the change in the ambient temperature of the machine tool 2 can be analyzed. For example, the analysis can be performed separately from the change in the environmental temperature due to the operation of the machine tool 2 itself.

As another example, the following is assumed: there are 1 machine tool 2 and a plurality of edge computers disposed substantially equidistant from the machine tool 2, and the plurality of edge computers are of the same model and the same specification. In this case, for convenience, if 1 machine tool 2 and edge computer are set as one group, there are a plurality of groups consisting of 1 machine tool 2 and 1 edge computer, and it can be said that these respective groups have the same relationship with each other. In this case, the analysis unit 110 compares the data acquired from the groups having such a relationship with each other. When data acquired from a certain group shows a tendency different from that of data acquired from a plurality of other groups, the analysis unit 110 may remove the data showing the different tendency from the analysis target as a deviation value. Thus, the analysis unit 110 can analyze the correlation between the quality of the workpiece machined by the machine tool 2 and the change in the operation information of the other edge computers with higher accuracy (excluding the offset value data).

Fig. 10 is a schematic configuration diagram of a management system 300 according to embodiment 2 including a plurality of management apparatuses 1. The management system 300 illustrated in fig. 10 includes a plurality of management apparatuses 1 mounted on fogging computers. Each management apparatus 1 manages a plurality of edge computers 8. The management device 1 has the functions described in embodiment 1. The management apparatus 1 is configured to be able to exchange, with another management apparatus 1, data collected from the edge computer 8 under management and correlation information that is an analysis result obtained by analyzing the data, directly or via the cloud server 6.

In the management system 300 having such a configuration, for example, correlation information between edge computers 8 arranged similarly to the arrangement of the edge computers 8 under management can be acquired from another management apparatus 1 and used. Therefore, when a new factory is installed, the time for the experiment data collection operation at the factory setup can be significantly saved by using the correlation information of the edge computers 8 having similar arrangement relationships from the other management apparatuses 1.

While the embodiments of the present disclosure have been described above, the present disclosure is not limited to the above-described embodiments, and can be implemented in various forms by applying appropriate modifications.