Control system, control method, and control program

Abstract

This control system is configured to: acquire, from a sensor that detects a real state of a device to be controlled, detection data indicating the real state; specify a management parameter to be used for controlling the device in the real state, by referring to a storage apparatus that stores auxiliary information including one or more correspondence relationships between a predetermined state of the device and a management parameter related to at least one of the operation of the device and the performance of the device; and control the device on the basis of the specified management parameter.

Description

Control system, control method, and control program

[0001] One aspect of the present disclosure relates to a control system, a control method, and a control program.

[0002] Patent Document 1 describes an operation monitoring device that classifies the state of a machine at each time into either an operating state or a non-operating state based on analysis data including historical information about the machine.

[0003] Japanese Patent Application Laid-Open No. 2018-198042

[0004] The operation monitoring device described above manages the status of the equipment, and a method for appropriately controlling the equipment based on the status of the equipment is desired.

[0005] A control system according to one aspect of the present disclosure includes at least one processor, which acquires detection data indicating the actual state of a device to be controlled from a sensor that detects the actual state, refers to a storage device that stores auxiliary information including one or more correspondences between predetermined states of the device and management parameters related to at least one of the operation and performance of the device, identifies management parameters to be used to control the device in the actual state, and controls the device based on the identified management parameters.

[0006] A control method according to one aspect of the present disclosure is executed by a control system including at least one processor, and includes the steps of acquiring detection data indicating an actual state of an equipment to be controlled from a sensor that detects the actual state of the equipment, identifying a management parameter to be used for controlling the equipment in the actual state by referring to a storage device that stores auxiliary information including one or more correspondences between a predetermined state of the equipment and a management parameter related to at least one of operation and performance of the equipment, and controlling the equipment based on the identified management parameter.

[0007] A control program according to one aspect of the present disclosure causes a computer to perform the following steps: acquiring detection data indicating the actual state of an equipment to be controlled from a sensor that detects the actual state of the equipment; identifying management parameters to be used to control the equipment in the actual state by referring to a storage device that stores auxiliary information including one or more correspondences between a predetermined state of the equipment and management parameters related to at least one of the operation of the equipment and the performance of the equipment; and controlling the equipment based on the identified management parameters.

[0008] In this aspect, the equipment is controlled based on the actual state of the equipment detected by the sensor and auxiliary information including the correspondence between the equipment state and the management parameter. By introducing such auxiliary information, it becomes possible to appropriately control the equipment based on the equipment state.

[0009] According to one aspect of the present disclosure, it is possible to appropriately control a device based on the state of the device.

[0010] Fig. 1 is a diagram illustrating an example of the functional configuration of a control system, Fig. 2 is a diagram illustrating an example of auxiliary information, and Fig. 3 is a flowchart illustrating an example of processing by the control system.

[0011] Various examples of the present disclosure will be described in detail below with reference to the accompanying drawings. In the description of the drawings, the same or equivalent elements are designated by the same reference numerals, and redundant description will be omitted.

[0012] [System Overview] The control system according to the present disclosure is a computer system that controls equipment based on the equipment's status. As an example, the equipment to be controlled is industrial equipment such as a kneader or a mixer. A kneader is an equipment that simultaneously mixes, crushes, kneads, and pokes materials to create a uniformly mixed state of the materials. An agitator is an equipment that mechanically stirs two or more substances in a container using a stirring blade to create a desired mixed state of the substances.

[0013] [System Configuration] The control system 1 is configured with one or more computers. When multiple computers are used, these computers are connected via a communication network such as the Internet or an intranet, thereby logically constructing a single control system 1.

[0014] The computer that constitutes the control system 1 generally comprises a processor, a storage device (memory), and a communication interface as hardware devices. The processor is, for example, a CPU, and the storage device is composed of a flash memory, a hard disk, etc. Each function of the control system 1 is realized by the processor executing a program stored in the storage device.

[0015] The control program for causing a computer to function as the control system 1 includes program code for implementing each functional module of the control system 1. This control program may be provided in a state where it is non-temporarily recorded on a tangible recording medium such as a CD-ROM, a DVD-ROM, or a semiconductor memory. Alternatively, the control program may be provided via a communication network as a data signal superimposed on a carrier wave. The provided control program is recorded in, for example, a storage device.

[0016] 1 is a diagram showing the functional configuration of a control system 1 according to an example. In this example, the control system 1 is connected to a sensor 2 and a device 3 to be controlled via a communication network. The communication network is typically constructed using the Internet, an intranet, or a combination thereof. The communication network may be constructed using a wired network, a wireless network, or a combination thereof.

[0017] The sensor 2 detects the actual state of the device 3 and outputs detection data indicating the actual state. In other words, the sensor 2 detects the state of the device 3 in real time while it is operating. The sensor 2 is attached to the device 3, for example, and detects a predetermined physical quantity in the device 3. As an example, the sensor 2 is a temperature sensor that detects the temperature in the device 3 and outputs temperature data as detection data. Alternatively, the sensor 2 is a vibration sensor that detects vibrations in the device 3 and outputs vibration data such as displacement, speed, and acceleration as detection data. Alternatively, the sensor 2 is a voltmeter that measures voltage in the device 3 and outputs a voltage value as detection data. Alternatively, the sensor 2 may be disposed in the environment surrounding the device 3 and detect a predetermined physical quantity in the environment. For example, the sensor 2 may be a temperature sensor disposed in the environment surrounding the device 3 and output temperature data in the environment as detection data. The number of sensors 2 may be any number equal to or greater than one. The sensor 2 may be configured by combining multiple types of sensors described above.

[0018] In this example, the control system 1 includes a processor 101 and a storage device 102. The storage device 102 stores at least auxiliary information 20. The auxiliary information 20 is input to the storage device 102 by a user of the control system 1. The auxiliary information 20 includes one or more correspondences between predetermined states of the equipment 3 and management parameters related to at least one of the operation of the equipment 3 and the performance of the equipment 3.

[0019] The attribute of the predetermined state included in the auxiliary information 20 may be the same as the attribute of the detection data. For example, if the detection data is temperature data, the predetermined state is the temperature of the device 3. Alternatively, the attribute of the predetermined state may be the same as the attribute of the detection data obtained by the processor 101 performing preprocessing on the detection data. For example, if the processor 101 performs a fast Fourier transform on the detection data, which is vibration data, to obtain a frequency distribution, the predetermined state is the frequency distribution of vibrations of the device 3. The predetermined state of the device 3 included in the auxiliary information 20 only needs to have a data format comparable to the detection data or the detection data on which preprocessing has been performed, and the attribute of the predetermined state of the device 3 may be different from the attribute of the detection data or the detection data on which preprocessing has been performed.

[0020] The management parameters included in the auxiliary information 20 are used to control the device 3. In other words, the management parameters are parameters that serve as indicators for controlling the device 3. The management parameters are parameters related to the operation of the device 3 that indicate, for example, the operating conditions of the device 3 in the actual state, the operating history of the device 3, etc. As an example, the operating conditions of the device 3 are parameters related to the safety factor of the device 3 or the degenerate operation of the device 3, and the operating history of the device 3 is the maintenance history of the device 3.

[0021] The safety factor is a value indicating how much the maximum output of the device 3 during operation should be reduced relative to the maximum output specified for the device 3 so as to prevent the device 3 from breaking down. The higher the safety factor, the smaller the maximum output of the device 3 during operation. For example, if the device 3 is a kneader or a mixer, the higher the safety factor, the smaller the maximum rotation speed of the device 3 during operation.

[0022] The degenerate operation refers to operating the device 3 in a state in which the function of the device 3 is partially restricted. The parameter related to the degenerate operation is the ratio of the actual output of the device 3 to the rated output of the device 3. For example, if the device 3 is a mixer or agitator, the output is the rotation speed of the mixer or agitator. In this case, a parameter related to the degenerate operation of 80% means that the rotation speed of the mixer or agitator after the degenerate operation is 0.8 times the rated rotation speed of the mixer or agitator.

[0023] The maintenance history refers to information that includes at least whether or not work has been carried out to restore normal operation of the device 3 in which an abnormality has occurred.

[0024] Alternatively, the management parameters are parameters related to the performance of equipment 3, such as the operating rate of equipment 3, the operational rate of equipment 3, the production volume of products manufactured by equipment 3, the yield rate of products manufactured by equipment 3, and a score related to the quality of products manufactured by equipment 3.

[0025] FIG. 2 is a diagram illustrating an example of the auxiliary information 20. In FIG. 2, auxiliary information 21 to 23 are illustrated as examples of the auxiliary information 20. The auxiliary information 21 includes a correspondence relationship between the temperature of the device 3 and a score. The auxiliary information 21 is information indicating the temperature of the device 3 required to reach a certain score. The auxiliary information 22 includes a correspondence relationship between the temperature of the device 3 and a maintenance history. The auxiliary information 22 is information indicating the temperature of the device 3 when a certain maintenance history is reached. A temperature corresponding to "maintenance performed" can be said to be a temperature at which an abnormality occurs in the device 3 or a temperature at which there is a high probability that the device 3 will become abnormal. The auxiliary information 23 includes a correspondence relationship between the temperature of the device 3 and a safety factor. The auxiliary information 23 is information indicating a safety factor desirable for the temperature of the device 3. In the example of FIG. 2, each data record of the auxiliary information 20 includes a correspondence relationship between one state and one management parameter. As another example, at least one data record of the auxiliary information 20 may include a correspondence relationship between one state and multiple management parameters. The plurality of management parameters corresponding to a certain state may include both parameters related to the operation of the device 3 and parameters related to the performance of the device 3 .

[0026] Returning to FIG. 1 , the processor 101 functions as a receiving unit 11 , a processing unit 12 , an identifying unit 13 , and a control unit 14 .

[0027] The receiving unit 11 is a functional element that receives the detection data output from the sensor 2 .

[0028] The processing unit 12 is a functional element that performs preprocessing on the detection data and stores the processed detection data in the storage device 102. As an example, the processing unit 12 calculates statistical values ​​such as the mean, median, and mode of the detection data. Alternatively, if the detection data is vibration data of the device 3, the processing unit 12 performs a fast Fourier transform on the detection data to calculate a frequency distribution. Alternatively, the processing unit 12 performs a clustering process (e.g., the K-means method) on the detection data to calculate the center of gravity of each cluster. In this way, the processing unit 12 may perform statistical processing, fast Fourier transform, or clustering processing as preprocessing. The processing unit 12 stores the calculated statistical values, frequency distribution, center of gravity, etc. in the storage device 102 as processed detection data.

[0029] The processing unit 12 may generate auxiliary information 20 and store the generated auxiliary information 20 in the storage device 102. For example, when the auxiliary information 20 includes correspondence relationships between a predetermined state and a plurality of management parameters, the processing unit 12 may perform regression analysis using the predetermined state as an explanatory variable and the plurality of management parameters as response variables to generate the auxiliary information 20 and store the generated auxiliary information 20 in the storage device 102. For example, the processing unit 12 may perform regression analysis using the availability rate of the equipment 3, the operational availability rate of the equipment 3, the production volume of products manufactured by the equipment 3, and the yield rate of products manufactured by the equipment 3 as response variables to generate the auxiliary information 20.

[0030] The identification unit 13 is a functional element that refers to the storage device 102 that stores the auxiliary information 20 and identifies management parameters to be used for controlling the device 3. The control unit 14 is a functional element that controls the device 3 based on the identified management parameters.

[0031] [System Operation] The operation of the control system 1 will be described with reference to Fig. 3, and a control method according to one example will be described. Fig. 3 is a flowchart showing an example of processing in the control system 1 as a processing flow S1. In the following description, the device 3 is assumed to be a kneader or a stirrer, and the state of the device 3 is assumed to be the temperature of the device 3, but the device 3 may be a device other than a kneader or a stirrer, and the state of the device 3 may be a state other than the temperature (for example, vibration data of the device 3, the rotation speed of the device 3, etc.).

[0032] The process flow S1 is based on the premise that the auxiliary information 20 is stored in the storage device 102. When the processing unit 12 generates the auxiliary information 20 and executes a process for storing the auxiliary information 20 in the storage device 102, the process is executed before the process flow S1.

[0033] In step S11, the receiving unit 11 acquires first detection data indicating a first real state of the device 3 from the sensor 2. The sensor 2 may detect the state of the device 3 at a certain point in time, in which case the receiving unit 11 acquires the detection data indicating that state as the first detection data. Alternatively, the sensor 2 may continuously detect the state of the device 3 over a certain time span, in which case the sensor 2 acquires detection data indicating a transition of the state over that time span as the first detection data.

[0034] In step S11, the processing unit 12 performs the above-described preprocessing on the first detection data and stores the preprocessed first detection data in the storage device 102. The processing unit 12 may store the first detection data acquired by the receiving unit 11 in the storage device 102 without performing preprocessing on the first detection data.

[0035] In step S12, the identification unit 13 refers to the storage device 102 that stores the auxiliary information 20 and identifies the management parameters used to control the device 3 in the first actual state. The identification unit 13 identifies a record of the auxiliary information 20 that has been labeled in advance by a user of the control system 1, and identifies the management parameters from the auxiliary information 20. Alternatively, the identification unit 13 identifies management parameters that satisfy a predetermined condition. As shown in FIG. 2 , for example, the identification unit 13 identifies a score Ax whose quality is worse than a certain quality standard as the management parameter. Alternatively, the identification unit 13 identifies a maintenance history "Maintenance performed" indicating that the device 3 has been maintained as the management parameter. Alternatively, the identification unit 13 identifies a safety factor Bz corresponding to a temperature Ty that is higher than the temperature range considered to be normal as the management parameter.

[0036] If multiple control parameters correspond to one state, in step S12, the identifying unit 13 identifies multiple control parameters to be used to control the device 3 in the first real state.

[0037] In step S13, the control unit 14 controls the device 3 in the first real state based on the identified management parameter. As an example, the control unit 14 further identifies a predetermined state of the device 3 corresponding to the management parameter identified in step S12. Then, the control unit 14 controls the device 3 so that the first real state of the device 3 approaches the identified predetermined state or moves away from the identified predetermined state.

[0038] For example, the control unit 14 identifies a temperature Tx ( FIG. 2 ) corresponding to the score Ax identified in step S12. Then, the control unit 14 controls the device 3 so that the temperature of the device 3 moves away from the temperature Tx (e.g., so that the temperature of the device 3 decreases). This enables the control system 1 to decrease the temperature of the device 3 before it reaches the temperature Tx, thereby preventing a deterioration in the quality of products manufactured by the device 3. If the score Ax identified in step S12 satisfies the quality standard, the control unit 14 controls the device 3 so that the temperature of the device 3 approaches the temperature Tx (e.g., so that the temperature of the device 3 increases). In this case, the control unit 14 controls the device 3 so that the quality of products manufactured by the device 3 improves.

[0039] Alternatively, the control unit 14 identifies the temperature Ty ( FIG. 2 ) corresponding to the maintenance history "Maintenance Performed" identified in step S12. Then, the control unit 14 controls the device 3 so that the temperature of the device 3 moves away from the temperature Ty (for example, so that the temperature of the device 3 decreases). This allows the control system 1 to decrease the temperature of the device 3 before it reaches the temperature Ty, thereby preventing an abnormality from occurring in the device 3.

[0040] The control unit 14 controls the device 3 according to, for example, a predetermined algorithm that determines the operating conditions of the device 3 based on the state of the device 3. For example, the algorithm specifies how to set or change the operating conditions of the device 3, such as the rotation speed of the device 3, the safety factor of the device 3, and the operating mode (degree of degenerate operation) of the device 3, in response to changes in the state (e.g., temperature) of the device 3. The control unit 14 controls the device 3 according to the algorithm to bring the first actual state of the device 3, indicated as the first detection data, closer to (or away from) a predetermined state. For example, the control unit 14 lowers the temperature of the device 3 by lowering the rotation speed of the device 3 according to the algorithm.

[0041] In step S13, if an operating condition is identified as a management parameter in step S12, the control unit 14 may identify a predetermined state of the device 3 corresponding to the operating condition. The control unit 14 determines whether a first actual state indicated by the first detection data has a predetermined relationship with the identified predetermined state. Examples of the predetermined relationship include a magnitude relationship or an inclusion relationship between a value indicating the first actual state and a value indicating the predetermined state, and a relationship in which the first actual state is the same as or different from the predetermined state. If the first actual state and the identified predetermined state have a predetermined relationship, the control unit 14 controls the device 3 based on the identified operating condition. For example, the control unit 14 identifies a temperature Tz ( FIG. 2 ) corresponding to the safety factor Bz identified in step S12. Then, if the control unit 14 determines that the temperature Tz of the device 3 acquired as the first actual state has a predetermined relationship, the control unit 14 controls the device 3 based on the identified safety factor Bz. In this example, the predetermined relationship may be that the temperature of device 3 exceeds temperature Tz, or that the temperature of device 3 is within a range from temperature Tz to a predetermined value. For example, if temperature Tz is the temperature at which an abnormality occurs in device 3, control unit 14 controls device 3 based on safety factor Bz to move the temperature of device 3 away from temperature Tz. As a result, it is possible to prevent an abnormality from occurring in device 3.

[0042] If the auxiliary information 20 includes multiple management parameters, in step S13, the control unit 14 identifies a predetermined state of the device 3 corresponding to the multiple management parameters identified in step S12. Then, the control unit 14 controls the device 3 so that the state of the device 3 approaches the predetermined state. As a result, for example, if each of the multiple management parameters is a target operating performance (e.g., the availability rate and operational rate of the device 3, the production volume and yield rate of products manufactured by the device 3, a score related to the quality of the products, etc.), the control unit 14 can execute the above control to bring each operating performance of the device 3 during operation closer to the target operating performance.

[0043] In step S14, the receiving unit 11 acquires second detection data indicating a second actual state of the device 3 from the sensor 2. The second actual state is an actual state of the device 3 controlled based on the management parameters identified in step S13, and is an actual state temporally later than the first actual state. The sensor 2 may detect the state of the device 3 at a time point when the device 3 was in the first actual state or at a certain time point after the time range. In this case, the receiving unit 11 acquires detection data indicating that state as the second detection data. Alternatively, the sensor 2 may continuously detect the state of the device 3 for a time range after the time point when the device 3 was in the first actual state or the time range. In this case, the sensor 2 acquires detection data indicating a transition of the state during the subsequent time range as the second detection data.

[0044] In step S14, similarly to step S11, the processing unit 12 may perform preprocessing on the second detection data. In this case, the processing unit 12 stores the second detection data that has been preprocessed in the storage device 102. The processing unit 12 may store the second detection data from the reception unit 11 in the storage device 102 without performing preprocessing on the second detection data.

[0045] In step S15, the control unit 14 controls the device 3 based on the second detection data. As an example, the control unit 14 compares the first detection data (first actual state) with the second detection data (second actual state) and controls the device 3 based on the comparison result. For example, when the control unit 14 determines that the temperature indicated by the second detection data is lower than the temperature indicated by the first detection data by a predetermined value, the control unit 14 returns the operating conditions of the device 3 to the operating conditions before control by the control unit 14 (normal operating conditions).

[0046] Alternatively, if the control unit 14 determines that the temperature indicated by the second detection data is greater than the temperature indicated by the first detection data by a predetermined value, it performs control such as increasing the safety factor of the equipment 3, changing parameters related to the degenerate operation of the equipment 3, or reducing the rotation speed of the equipment 3.

[0047] Alternatively, the control unit 14 may identify a control parameter, as in steps S12 and S13, and control the device 3 in the second real state based on the identified control parameter. In this case, the control unit 14 further identifies a predetermined state of the device 3 corresponding to the identified control parameter. The control unit 14 then controls the device 3 so that the second real state of the device 3 approaches or moves away from the identified predetermined state. Alternatively, when an operating condition is identified as the control parameter, the control unit 14 identifies a predetermined state of the device 3 corresponding to the operating condition. When the control unit 14 determines that the second real state and the identified predetermined state have a predetermined relationship, the control unit 14 controls the device 3 based on the identified operating condition.

[0048] In the process flow S1, in addition to the first-stage control of the device 3 in step S13, the second-stage control of the device 3 in step S15 is executed. As a result, if the state of the device 3 has not reached the desired state by the first-stage control, the second-stage control can bring the state of the device 3 closer to the desired state. Alternatively, if the state of the device 3 has already reached the desired state by the first-stage control, the second-stage control can return the state of the device 3 to the normal state. As a result, the device 3 can be operated efficiently.

[0049] [Modifications] The technology according to the present disclosure has been described in detail above based on various examples. However, the present disclosure is not limited to the above examples. The technology according to the present disclosure can be modified in various ways without departing from the spirit of the present disclosure.

[0050] In the above example, the reception unit 11 acquires the second detection data indicating the second real state of the device 3 from the sensor 2, and the control unit 14 controls the device 3 based on the second detection data, but the control system 1 does not need to acquire the second detection data indicating the second real state, and does not need to control the device 3 based on the second detection data. In other words, the control system 1 may execute only the first-stage control of the device 3. Alternatively, the control system 1 may acquire detection data indicating a third real state, a fourth real state, ..., which are real states temporally subsequent to the second real state, and execute the third-stage control of the device 3, the fourth-stage control of the device 3, ....

[0051] The processing steps of the method executed by at least one processor are not limited to the above examples. For example, some of the above steps may be omitted, or the steps may be executed in a different order. Furthermore, any two or more of the above steps may be combined, or some of the steps may be modified or deleted. Alternatively, other steps may be executed in addition to the above steps.

[0052] In the present disclosure, when comparing the magnitude of two numerical values, either of the two criteria "greater than or equal to" and "greater than" may be used, or either of the two criteria "less than or equal to" and "less than" may be used.

[0053] In the present disclosure, the expression "at least one processor executes a first process, executes a second process, ... executes an Lth process" or an expression corresponding thereto indicates a concept including a case where the entity executing the L processes from the first process to the Lth process, i.e., the processor, changes midway. In other words, this expression indicates a concept including both a case where all of the L processes are executed by the same processor and a case where the processor changes among the L processes according to an arbitrary policy.

[0054] [Additional Notes] As can be seen from the various examples above, the present disclosure includes the following aspects.

[0055] (Supplementary Note 1) A control system comprising at least one processor, wherein the at least one processor acquires detection data indicating an actual state of an equipment to be controlled from a sensor that detects the actual state, identifies the control parameters to be used for controlling the equipment in the actual state by referring to a storage device that stores auxiliary information including one or more correspondences between predetermined states of the equipment and control parameters related to at least one of the operation and performance of the equipment, and controls the equipment based on the identified control parameters. (Supplementary Note 2) The control system according to Supplementary Note 1, wherein the at least one processor further identifies the predetermined state corresponding to the identified control parameter, and controls the equipment so that the actual state approaches or deviates from the identified predetermined state. (Supplementary Note 3) The control system according to Supplementary Note 2, wherein the auxiliary information includes, as the control parameter, a score related to the quality of a product manufactured by the equipment, and the at least one processor identifies the score to be used for controlling the equipment in the actual state and the predetermined state corresponding to the score. (Supplementary Note 4) The control system according to Supplementary Note 2 or 3, wherein the auxiliary information includes a maintenance history of the equipment as the management parameter, and the at least one processor identifies the maintenance history to be used for controlling the equipment in the actual state and the predetermined state corresponding to the maintenance history, and controls the equipment so that the actual state deviates from the identified predetermined state. (Supplementary Note 5) The control system according to any one of Supplementary Notes 1 to 4, wherein the auxiliary information includes an operating condition of the equipment as the management parameter, and the at least one processor identifies the operating condition to be used for controlling the equipment in the actual state and the predetermined state corresponding to the operating condition, and controls the equipment based on the identified operating condition when it is determined that the actual state and the identified predetermined state are in a predetermined relationship.(Supplementary Note 6) The control system according to any one of Supplements 1 to 5, wherein the at least one processor acquires first detection data indicating a first actual state of the equipment, identifies the management parameters to be used for controlling the equipment in the first actual state, and controls the equipment based on the identified management parameters, and acquires second detection data indicating a second actual state of the equipment controlled based on the identified management parameters, and controls the equipment based on the second detection data. (Supplementary Note 7) The control system according to any one of Supplements 1 to 6, wherein the equipment is a kneader or a mixer, and the at least one processor controls the equipment by controlling the rotation speed of the equipment. (Supplementary Note 8) The control system according to any one of Supplements 1 to 7, wherein the auxiliary information includes the correspondence between the predetermined state and a plurality of the management parameters, and the at least one processor refers to the storage device to identify a plurality of management parameters to be used for controlling the equipment in the actual state, and controls the equipment based on the identified plurality of management parameters. (Supplementary Note 9) The control system according to any one of Supplements 1 to 8, wherein the at least one processor generates the auxiliary information by executing a regression analysis using the predetermined state as an explanatory variable and a plurality of the management parameters as response variables, and stores the generated auxiliary information in the storage device. (Supplementary Note 10) A control method executed by a control system having at least one processor, comprising: acquiring detection data indicating an actual state of a device to be controlled from a sensor that detects the actual state of the device, identifying the management parameters to be used for controlling the device in the actual state by referring to a storage device that stores auxiliary information including one or more correspondences between a predetermined state of the device and management parameters related to at least one of operation of the device and performance of the device, and controlling the device based on the identified management parameters.(Supplementary Note 11) A control program that causes a computer to execute the steps of: acquiring detection data indicating the actual state of a device to be controlled from a sensor that detects the actual state of the device; identifying the management parameters to be used to control the device in the actual state by referring to a storage device that stores auxiliary information including one or more correspondences between a predetermined state of the device and management parameters related to at least one of the operation of the device and the performance of the device; and controlling the device based on the identified management parameters.

[0056] According to Supplementary Notes 1, 10, and 11, the equipment is controlled based on the actual state of the equipment detected by the sensor and auxiliary information including the correspondence between the equipment state and the management parameter. By introducing such auxiliary information, it becomes possible to appropriately control the equipment based on the equipment state.

[0057] According to Supplementary Note 2, the device is controlled using the predetermined state corresponding to the identified management parameter as a criterion, so that the device can be controlled more appropriately.

[0058] According to Supplementary Note 3, the equipment is controlled so that the score related to the quality of the product manufactured by the equipment approaches or deviates from the specified score. This makes it possible to more appropriately control the equipment based on the specified score.

[0059] According to Supplementary Note 4, by deviating the actual state of the equipment from the specified predetermined state, it is possible to prevent the actual state of the equipment from reaching the state of the equipment in the specified maintenance history, for example, it is possible to prevent the occurrence of an abnormality that led to the equipment undergoing maintenance.

[0060] According to Supplementary Note 5, by determining the relationship between the actual state and the specified state, it is possible to control the equipment based on the specified operating conditions at an appropriate timing.

[0061] According to Appendix 6, by performing two stages of equipment control along the time axis, namely, equipment control executed by acquiring first detection data and equipment control executed by acquiring second detection data, the equipment can be controlled more appropriately.

[0062] According to Appendix 7, the kneader or the mixer can be appropriately controlled.

[0063] According to Supplementary Note 8, the devices can be controlled more appropriately by controlling the devices based on the identified plurality of management parameters. For example, if each of the plurality of management parameters is a parameter related to the performance of the devices, it becomes possible to control the devices so as to simultaneously satisfy the performance requirements of the identified plurality of devices.

[0064] According to Supplementary Note 9, auxiliary information including a plurality of management parameters can be appropriately generated.

[0065] 1...control system, 2...sensor, 3...device, 11...receiving unit, 12...processing unit, 13...identifying unit, 14...control unit, 20-23...auxiliary information, 101...processor, 102...storage device

Claims

1. A control system comprising at least one processor, wherein the at least one processor acquires detection data indicating the actual state of a device to be controlled from a sensor that detects the actual state of the device, refers to a storage device that stores auxiliary information including one or more correspondences between a predetermined state of the device and a management parameter related to at least one of the operation of the device and the performance of the device, identifies the management parameter to be used to control the device in the actual state, and controls the device based on the identified management parameter.

2. The control system of claim 1, wherein the at least one processor further identifies the predetermined state corresponding to the identified management parameter, and controls the equipment so that the actual state approaches or moves away from the identified predetermined state.

3. The control system of claim 2, wherein the auxiliary information includes a score related to the quality of the product manufactured by the equipment as the management parameter, and the at least one processor identifies the score to be used to control the equipment in the actual state and the predetermined state corresponding to the score.

4. The control system of claim 2, wherein the auxiliary information includes a maintenance history of the equipment as the management parameter, and the at least one processor identifies the maintenance history to be used to control the equipment in the actual state and the predetermined state corresponding to the maintenance history, and controls the equipment so that the actual state deviates from the identified predetermined state.

5. The control system of claim 1, wherein the auxiliary information includes the operating conditions of the equipment as the management parameters, and the at least one processor identifies the operating conditions used to control the equipment in the actual state and the specified state corresponding to the operating conditions, and if it determines that the actual state and the specified specified state have a specified relationship, controls the equipment based on the specified operating conditions.

6. A control system according to any one of claims 1 to 5, wherein the at least one processor: acquires first detection data indicating a first actual state of the equipment, identifies the management parameters to be used to control the equipment in the first actual state, and controls the equipment based on the identified management parameters; acquires second detection data indicating a second actual state of the equipment controlled based on the identified management parameters, and controls the equipment based on the second detection data.

7. The control system according to any one of claims 1 to 5, wherein the device is a kneader or a mixer, and the at least one processor controls the device by controlling the number of rotations of the device.

8. A control system according to any one of claims 1 to 5, wherein the auxiliary information includes the correspondence between the predetermined state and a plurality of the management parameters, and the at least one processor refers to the storage device to identify a plurality of the management parameters to be used to control the equipment in the actual state, and controls the equipment based on the identified plurality of management parameters.

9. The control system according to any one of claims 1 to 5, wherein the at least one processor performs regression analysis using the predetermined state as an explanatory variable and multiple management parameters as response variables to generate the auxiliary information, and stores the generated auxiliary information in the storage device.

10. A control method executed by a control system having at least one processor, comprising: a step of acquiring detection data indicating the actual state of a device to be controlled from a sensor that detects the actual state of the device; a step of identifying the control parameters to be used to control the device in the actual state by referring to a storage device that stores auxiliary information including one or more correspondences between a predetermined state of the device and control parameters related to at least one of the operation and performance of the device; and a step of controlling the device based on the identified control parameters.

11. A control program that causes a computer to execute the steps of: acquiring detection data indicating the actual state of a device to be controlled from a sensor that detects the actual state of the device; identifying the control parameters to be used to control the device in the actual state by referring to a storage device that stores auxiliary information including one or more correspondences between a predetermined state of the device and control parameters related to at least one of the operation and performance of the device; and controlling the device based on the identified control parameters.

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