Control device for environmental protection equipment, production plan optimization system, production plan optimization method, and computer-readable medium

Abstract

Provided are an environmental protection equipment control device, a production plan optimization system, a production plan optimization method, and a computer-readable medium that can increase the operating efficiency of environmental protection equipment, reduce the energy consumption of the environmental protection equipment, and make the operation of the environmental protection equipment one of the elements in formulating a production plan, all on the premise of achieving environmental quality standards.The environmental protection equipment control device comprises: environmental parameter acquisition means for acquiring environmental parameters during operation of the environmental protection equipment; adjustment means for adjusting the environmental protection equipment; and control means for controlling the adjustment means based on the environmental parameters acquired by the environmental parameter acquisition means so that the environmental parameters satisfy minimum environmental protection requirements and reduce the operating costs of the environmental protection equipment.

Description

Technical Field

[0001] The present invention relates to a control device for environmental protection equipment, a production plan optimization system including the control device for environmental protection equipment, a production plan optimization method, and a computer-readable medium recording a program for executing the production plan optimization method. In particular, the present invention relates to a system and method for optimizing the operation mode of environmental protection equipment and the overall production plan of a factory equipped with environmental protection equipment.

Background Art

[0002] In the process of automatic production in a factory, in order to reduce the impact on the environment as much as possible, environmental protection equipment for treating pollutants generated during production is usually arranged. Specific examples of environmental protection equipment include, for example, a VOC treatment device for treating VOC (Volatile Organic Compounds) generated by the volatilization of resins and adhesives in electronic component manufacturing, and water recovery and reuse equipment for treating and recovering industrial wastewater generated during production for reuse.

[0003] Conventional environmental protection equipment technically realizes a function of automatically performing on-off control in response to the generation of pollutants during the production process. Therefore, it is possible to ensure that the requirements such as environmental quality standards and pollutant emission standards are met during the production process of the factory.

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, conventionally, for the purpose of stably reaching the production environment standard, when the generation of pollutants is detected, the corresponding environmental protection equipment is set to the full operation state. Therefore, when the environmental protection equipment is placed in the full operation state for a long time, a large amount of energy is consumed, the cost of treating pollutants such as wastewater and exhaust gas increases, leading to an increase in production costs.

[0005] In addition, the operation of conventional environmental protection equipment is separated from the operation of the entire factory. The environmental protection equipment can only passively respond when pollutants are generated, and it is impossible to predict the discharge and treatment status of the next pollutant according to the production plan. Therefore, the problem of running the environmental protection device at full capacity for a long time to avoid the risk of not meeting environmental standards becomes even more serious.

[0006] In addition, since the operation control of conventional environmental protection equipment is generally independent of the scheduling of production plans, data generated from the operation of environmental protection equipment is rarely recorded, or even if it is recorded, the data is rarely used as a basis for production plan determination. Therefore, since the operation status of the environmental protection equipment is not considered when formulating the production plan, it is impossible to obtain an optimal production plan that achieves both production efficiency and environmental protection at low cost.

[0007] The present invention has been made in view of the above, and on the premise of achieving standards such as environmental quality standards and pollutant emission standards, it aims to improve the operation efficiency of environmental protection equipment, reduce the energy consumption of environmental protection equipment, enable the operation of environmental protection equipment to be one of the elements in formulating a production plan, and to establish an optimal production plan that can meet environmental protection requirements and minimize costs for different production requirements. The present invention provides a control device for environmental protection equipment, a production plan optimization system including the control device for environmental protection equipment, a production plan optimization method, and a computer-readable medium recording a program for executing the production plan optimization method.

Means for Solving the Problems

[0008] In order to solve the above-described problems, a control device for environmental protection equipment according to a first aspect of the present invention includes: an environmental parameter acquisition unit that acquires environmental parameters during operation of the environmental protection equipment; an adjustment unit that adjusts the environmental protection equipment; and a control unit that controls the adjustment unit based on the environmental parameters acquired by the environmental parameter acquisition unit, such that the environmental parameters satisfy minimum environmental protection requirements and reduce the operation cost of the environmental protection equipment.

[0009] Also, in order to solve the above-described problems, a production plan optimization system according to a second aspect of the present invention controls environmental protection equipment so that environmental parameters satisfy minimum environmental protection requirements according to a production plan, and obtains operation information of the environmental protection equipment from the environmental protection equipment, a control device for the environmental protection equipment according to the first aspect of the present invention; a production control device that controls production equipment according to a production plan and obtains production-related information from the production equipment; obtains production requirement information, obtains the production-related information from the production control device, obtains the operation information of the environmental protection equipment from the control device for the environmental protection equipment, and generates a plurality of production plans corresponding to the production requirement information based on the production-related information and the operation information of the environmental protection equipment, and after obtaining the cost of each production plan in the plurality of production plans, selects, as an optimal production plan, the production plan with the lowest cost among the plurality of production plans, and provides the optimal production plan to the control device for the environmental protection equipment and the production control device.

[0010] Also, in order to solve the above-described problems, a production plan optimization method according to a third aspect of the present invention includes a learning step of learning the relationship between production requirement information, and the costs of a plurality of production plans corresponding to the production requirement information, based on production-related information obtained from a production control device that controls production equipment according to a production plan, operation information of environmental protection equipment obtained from a control device for environmental protection equipment that controls environmental protection equipment according to a production plan, and production requirement information; and an optimal production plan determination step of selecting, as an optimal production plan, the production plan with the lowest cost among the plurality of production plans according to the production requirement information based on the learning result in the learning step. Also, in order to solve the above-described problems, a computer-readable medium according to a fourth aspect of the present invention records a program for executing the production plan optimization method according to the third aspect of the present invention.

Advantages of the Invention

[0011] According to the control device for environmental protection equipment, the production plan optimization system equipped with the control device for environmental protection equipment, the production plan optimization method, and the computer-readable medium recording the program for executing the production plan optimization method according to the present invention, on the premise of achieving standards such as environmental quality standards and pollutant emission standards, the operating efficiency of environmental protection equipment is improved, the energy consumption of environmental protection equipment is reduced, and the operation of environmental protection equipment can be regarded as one of the elements for formulating a production plan, and an optimal production plan can be formulated to meet environmental protection requirements and minimize costs for different production requirements.

Brief Description of the Drawings

[0012]

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[0013] Embodiment 1.

[0014] Hereinafter, with reference to FIGS. 1 to 3, a control device for an environmental protection facility according to Embodiment 1 of the present invention will be described.

[0015] FIG. 1 is a block diagram for explaining the configuration of a control device 1 for an environmental protection facility according to Embodiment 1 of the present invention. As shown in FIG. 1, the control device 1 for an environmental protection facility includes an environmental parameter acquisition means 10, an adjustment means 11, and a control means 12.

[0016] The environmental protection parameter acquisition means 10 is connected to a plurality of environmental protection facilities A to C, respectively, and acquires environmental parameters from one or several locations in each of the environmental protection facilities A to C. Examples of environmental parameters include water quality parameters such as the concentration of harmful substances such as VOC, carbon oxides, sulfur oxides, and heavy metals in industrial exhaust gas, and the content of toxic and harmful substances such as heavy metals, radioactive substances, and chemical substances in industrial wastewater. The environmental parameter acquisition means 10 can detect the environmental parameters during the operation of each of the environmental protection facilities A to C by various conventional detection means such as pollutant sensors installed at the front end, middle end, and back end of the environmental protection facilities.

[0017] The adjustment means 11 is connected to each of the plurality of environmental protection facilities A to C and adjusts the plurality of environmental protection facilities A to C. As the adjustment targets, for example, the operating frequencies of pumps, fans, dosing devices, etc. with variable frequency operation installed in each environmental protection facility, or the working hours of each environmental protection facility, the circulation path of industrial water, etc. can be considered. The adjustment means 11 can adjust each of the environmental protection facilities A to C by various existing control means such as frequency converters and solenoid valve controllers installed in the environmental protection facilities.

[0018] The control means 12 is connected to the environmental parameter acquisition means 10 and the adjustment means 11 respectively, acquires the environmental parameters of each of the environmental protection facilities A to C from the environmental parameter acquisition means 10, controls the adjustment means 11 based on the environmental parameters of each of the environmental protection facilities A to C, and the adjustment means 11 adjusts the corresponding environmental protection facilities A to C so that the environmental parameters satisfy the minimum environmental protection requirements and the operating costs of each of the environmental protection facilities A to C are reduced as much as possible. The minimum environmental protection requirements mean that, for example, when the environmental parameter is the VOC concentration, the VOC concentration in the gas after purification treatment satisfies the regional emission standard, for example, 100 ppm or less (this is only an example because environmental protection requirements vary by industry), and when the environmental parameter is a water quality parameter, the water quality after water treatment satisfies the regional emission standard, or satisfies the emission standard determined by the operator according to its own circumstances. Also, the operating cost of each environmental protection facility can include, for example, the power cost of each environmental protection facility. This power cost is obtained by calculating the power consumption of the environmental protection facility from the operating frequency, working hours, etc. of the environmental protection facility and multiplying the power consumption by the real-time electricity price when the environmental protection facility is operating. In addition, the operating cost of each environmental protection facility can include the power cost for the water circulation of the recycled water treatment system, the disposal cost of the filtered contaminants, the wastewater treatment cost of the non-reusable wastewater, etc., including the operating costs of other environmental protection facilities.

[0019] In this embodiment, an example of three environmental protection facilities A to C is shown. However, the number of environmental protection facilities that the environmental parameter acquisition means 10 can detect is not limited to this. For example, environmental parameters may be acquired from only one environmental protection facility, or environmental parameters may be acquired from a plurality of two or more environmental protection facilities. When acquiring environmental parameters from a plurality of environmental protection facilities, the plurality of environmental protection facilities may be of the same type of environmental protection facility or different types of environmental protection facilities.

[0020] FIG. 2 is a schematic diagram showing one specific example of a control device for an environmental protection facility. As shown by the dashed frame in FIG. 2, the environmental protection facility is, for example, a VOC treatment facility, and includes a VOC collection device, a VOC treatment device, and a purge gas discharge device. The VOC treatment device consists of, for example, a shower tower and an activated carbon adsorption tank (not shown). The VOC treatment facility treats VOC substances in the production environment.

[0021] The VOC concentration monitoring probe including the VOC collection device monitoring probe 101 and the purge gas VOC concentration monitoring probe 102 corresponds to the environmental parameter acquisition means of the present invention, and the frequency converter including the blower frequency converter 201 corresponds to the adjustment means of the present invention. These VOC concentration monitoring probes and frequency converters, together with the control means 12, constitute the control device for the environmental protection facility of the present invention. Also, although only one blower frequency converter 201 is shown here, in actual production, the number and types of blowers used in different VOC treatment processes may be different. Therefore, a plurality of different frequency converters can be arranged to control the operating frequencies of these blowers respectively.

[0022] The control method for the VOC treatment facility will be described below.

[0023] The VOC collection device monitoring probe 101 acquires the VOC concentration before VOC treatment, that is, the VOC concentration at the inlet of the VOC collection device, and transmits this VOC concentration to the control means 12. The control means 12 stores this VOC concentration as operation information of the environmental protection equipment, and compares this VOC concentration with the minimum environmental protection requirement which is the preset threshold value of the VOC concentration at the inlet. When the VOC concentration is higher than the threshold value of the VOC concentration at the inlet, the control means 12 controls the blower frequency converter 201 to increase the operation frequency of the workplace exhaust fan located at the inlet of the VOC collection device. On the other hand, when the VOC concentration is below the threshold value of the VOC concentration in the production environment, the control means 12 controls the blower frequency converter 201 to lower the operation frequency of the workplace exhaust fan to operation stop. Therefore, while ensuring the complete collection of the VOC concentration in the production environment, the operation energy consumption of the blower can be reduced as much as possible.

[0024] Also, the purge gas VOC concentration monitoring probe 102 acquires the VOC concentration of the exhaust gas after the purge treatment in the purge gas discharge device, and transmits this VOC concentration to the control means 12. The control means 12 stores this VOC concentration as operation information of the environmental protection equipment, and compares this VOC concentration with the minimum environmental protection requirement which is the preset threshold value of the purge gas VOC concentration. When the VOC concentration is higher than the threshold value of the purge gas VOC concentration, the control means 12 controls the blower frequency converter 201 to increase the operation frequency of each blower in the VOC treatment equipment. On the other hand, when the VOC concentration is below the threshold value of the purge gas VOC concentration, the control means 12 controls the blower frequency converter 201 to lower the operation frequency of each blower in the VOC treatment equipment to operation stop. Therefore, while ensuring the discharge that meets the VOC emission standard, the operation energy consumption of the VOC treatment equipment can be reduced as much as possible.

[0025] FIG. 3 is a schematic diagram showing another specific example of a control device for environmental protection equipment. As shown by the dashed frame in FIG. 3, the environmental protection equipment is, for example, a water recovery and reuse equipment, and includes an industrial water treatment device composed of a sand filtration device, a reverse osmosis device, an EDI (Electrodeionization) device, etc. not shown in the figure, a water usage process section composed of a degreasing device, a plurality of pure water washing devices, a silane washing device, etc. not shown in the figure, and a recycled water treatment device composed of an activated carbon device, a sand filtration device, etc. not shown in the figure. This water recovery and reuse equipment recovers and reuses industrial wastewater.

[0026] The flow meters including flow meter 104 and flow meter 105, and the water quality monitoring probe 106 correspond to the environmental parameter acquisition means of the present invention, and the solenoid valve controller 203 corresponds to the adjustment means of the present invention. These flow meters, water quality monitoring probes, and solenoid valve controllers, together with the control means 12, constitute the control device for the environmental protection equipment of the present invention.

[0027] A control method for the water recovery and reuse equipment will be described below.

[0028] Tap water flows into the industrial water treatment device together with the recycled water described later, and is treated. The flow meter 104 acquires the water flow rate, which is the amount of tap water used, from the industrial water treatment device and transmits it to the control means 12. The water treated by the industrial water treatment device enters the water usage process section and is used. The water quality monitoring probe 106 acquires in real time the water quality parameters of the water after use from, for example, each pure water washing facility in the water usage process section and transmits them to the control means 12. The control means 12 stores the above water quality parameters and water flow rate as the operation information of the environmental protection facility, and compares the water quality parameters with the preset recycled water standard. When the water quality parameters reach the recycled water standard, the control unit 12 controls the solenoid valve controller 203 to adjust the conduction direction of the solenoid valve provided between the water usage process section and the industrial wastewater treatment device to the direction towards the recycled water treatment device. On the other hand, when the water quality parameters do not reach the recycled water standard, the control unit 12 controls the solenoid valve controller 203 to adjust the conduction direction of the solenoid valve to the direction towards the industrial wastewater treatment device. Thereby, while ensuring that the water quality parameters of the industrial wastewater meet the minimum environmental protection requirements, the recycled water can be fully utilized, so that the amount of tap water used can be reduced as much as possible, and for example, the operation energy consumption of the EDI facility in the industrial water treatment device and related facilities in the industrial wastewater treatment device can be reduced.

[0029] Also, although not shown in the figure, a water quality monitoring probe may be attached to the outlet of the recycled water treatment device to detect the water quality parameters of the recycled water treated by the recycled water treatment device and transmit them to the control means 12. The control means 12 compares the water quality parameters of this recycled water with the recycled water standard again, and controls the conduction direction of the solenoid valve located at the outlet of the recycled water treatment device so that when the water quality of the recycled water treated by the recycled water treatment device reaches the recycled water standard, it flows to the industrial water treatment device, and when it does not reach the recycled water standard, it flows to the industrial wastewater treatment device.

[0030] According to the control device for environmental protection equipment according to Embodiment 1, the environmental parameter acquisition means monitors each environmental parameter during the operation of each environmental protection equipment in real time, and the control means, based on each environmental parameter acquired by the environmental parameter acquisition means, controls the adjustment means so that the environmental parameters satisfy the minimum environmental protection requirements and the operation cost of the environmental protection equipment is reduced as much as possible. Therefore, on the premise of satisfying the environmental protection requirements, it is possible to avoid the environmental protection equipment being placed in a full operation state for a long period of time, and to reduce as much as possible the energy consumption cost of the environmental protection equipment calculated together with the real-time electricity price, and other costs related to the operation of the environmental protection equipment, such as the treatment cost of waste such as drainage and exhaust gas.

[0031] Embodiment 2.

[0032] Hereinafter, with reference to FIGS. 4 to 8, a production plan optimization system including a control device for environmental protection equipment according to Embodiment 2, a production plan optimization method, and a computer-readable medium recording a program for executing the production plan optimization method will be described. First, the configuration of the production plan optimization system will be described with reference to the accompanying drawings. FIG. 4 is a block diagram for explaining the configuration of the production plan optimization system 100 according to Embodiment 2, and FIG. 5 is a block diagram for explaining the configuration of the production plan optimization device 3 in FIG. 4.

[0033] As shown in FIG. 4, the production plan optimization system 100 includes a control device 1 for environmental protection equipment, a production control device 2, and a production plan optimization device 3.

[0034] The control device 1 of the environmental protection equipment is, for example, the control device of the environmental protection equipment according to Embodiment 1. The control device 1 of the environmental protection equipment further controls the environmental protection equipment A to C so that the environmental parameters during the operation of the environmental protection equipment A to C satisfy the minimum environmental protection requirements according to the production plan from the production plan optimization device 3, and acquires the operation information of the environmental protection equipment from the environmental protection equipment A to C respectively. The operation information of the environmental protection equipment includes, for example, at least environmental parameters such as the VOC concentration, water quality parameters, and water flow rate in Embodiment 1, and the operation frequencies and working hours of the environmental protection equipment A to C. Note that the operation information of the environmental protection equipment further includes, for example, the maintenance cycles of the environmental protection equipment A to C.

[0035] The production control device 2 controls the production equipment a to c according to the production plan from the production plan optimization device 3, and acquires production-related information from the production equipment a to c. The production-related information includes, for example, at least the production speed, power consumption, and production time zone of the production equipment.

[0036] The production plan optimization device 3 acquires production requirement information, acquires production-related information from the production control device 2, and acquires the operation information of the environmental protection equipment from the control device 1 of the environmental protection equipment. As a method for acquiring production requirement information, for example, production requirement information input by an operator from outside the production plan optimization system 100 may be acquired through an input device (not shown), or production requirement information stored in a storage device (not shown) within the production plan optimization system 100 may be acquired. Also, the production requirement information may be, for example, an order for a product, a specification requirement for a product, etc. After acquiring the above-mentioned information, the production plan optimization device 3 determines a plurality of production plans according to the production requirement information, and calculates the cost of each production plan in the plurality of production plans based on the production-related information and the operation information of the environmental protection equipment. As an example of determining a plurality of production plans according to the production requirement information, when it is necessary to produce 100 units of a product according to a production requirement (for example, an order for production), a method of producing 50 units on one production line in the morning and 50 units on one production line in the afternoon, a method of producing 100 units on two production lines in the morning, a method of producing 50 units each on one production line in two separate mornings, etc. can be adopted. The above different production plans respectively correspond to different situations of pollutant emissions and treatment. The production plan optimization device 3 can simulate the costs of each production plan corresponding to different production situations (different production requirements, production-related information, and operation information of the environmental protection equipment) prior to actual production after performing a certain amount of data accumulation and learning.

[0037] In addition, the cost of the production plan is, for example, the cost of the electricity consumed by each production facility a to c and each environmental protection facility A to C when implementing the production plan, which is obtained by multiplying the power consumption of each production facility and each environmental protection facility by the unit electricity price within the production time period. Further, the cost of the production plan may include the cost of resources such as consumed water and natural gas, and the cost of consumables such as paint. Note that the cost of the production plan may further include, for example, the maintenance cost of the production facilities and environmental protection facilities, which will be described later. Next, the production plan optimization device 3 selects the production plan with the lowest cost of the production plan from a plurality of production plans as the optimal production plan, and provides it to the production control device 2 and the control device 1 of the environmental protection facilities.

[0038] The specific configuration of the production plan optimization device 3 will be described below. As shown in FIG. 5, the production plan optimization device 3 includes a learning means 30 and an optimal production plan determination means 31.

[0039] Based on the production-related information and the operation information of the environmental protection facilities respectively obtained from the production control device 2 and the control device 1 of the environmental protection facilities, the learning means 30 calculates the cost of the production plan corresponding to each production plan, and accumulates a large amount of three types of data, namely, the production-related information, the operation information of the environmental protection facilities, and the cost of the production plan. By using machine learning or the like, an algorithm for associating the production requirement information with the costs of a plurality of production plans is constructed, and the relationship between the production requirement information and the costs of a plurality of production plans is learned. Note that the learning means 30 may directly supply the learning result to the optimal production plan determination means 31 described later for use, or as shown in FIG. 5, after storing the learning result in the learning result storage unit 32, the optimal production plan determination means 31 may call it as needed.

[0040] The optimal production plan determination means 31 obtains production requirement information from, for example, outside the production plan optimization system 100, calls the learning result from the learning result storage unit 32, and based on the above learning result, determines the optimal production plan with the lowest cost according to the production requirement information, and supplies it to the production control device 2 and the control device 1 of the environmental protection facilities respectively.

[0041] The specific configuration of the learning means 30 will be described below. As shown in FIG. 5, the learning means 30 includes a data acquisition unit 300, a reward calculation unit 301, and an action value function update unit 302.

[0042] The data acquisition unit 300 acquires production-related information including at least the production speed, power consumption, and production time zone of the production facilities from the production control device 2, and acquires operation information of the environmental protection facilities including at least environmental parameters, the operation frequency, and the working time of the environmental protection facilities from the control device 1 of the environmental protection facilities, and acquires production requirement information from, for example, outside the production plan optimization system 100.

[0043] The reward calculation unit 301 acquires the above-mentioned respective information from the data acquisition unit 300, calculates the power consumption per unit time from the operation frequency of the environmental protection facilities, multiplies the power consumption per unit time by the working time of the environmental protection facilities to obtain the power consumption of the environmental protection facilities. Then, the reward calculation unit 301 adds the power consumption of each production facility and the power consumption of the environmental protection facilities to calculate the total power consumption. Finally, the reward calculation unit 301 acquires the unit power price within the production time zone from, for example, the external situation acquisition means 34 described later, and multiplies the previously obtained total power consumption by the unit power price to calculate the total power consumption cost of each production facility and the environmental protection facilities. The reward calculation unit 301 calculates a reward based on the calculated total power consumption cost as the cost of each production plan. The specific calculation method of the reward will be described later.

[0044] In addition, since the control device 1 of the environmental protection facilities is the control device of the environmental protection facilities shown in the above-described Embodiment 1, it is also possible to control the environmental protection facilities so that the environmental parameters satisfy the minimum environmental protection requirements.

[0045] The action value function update unit 302 acquires the reward calculated by the reward calculation unit 301, acquires production requirement information from the data acquisition unit 300 and information such as the production speed of production facilities corresponding to each production plan, production time zone, operation frequency of environmental protection facilities, and working hours, updates the action value function based on this information, stores the updated action value function in the learning result storage unit 32 as one of the learning results, and is used by the optimal production plan determination means 31 to determine the next production plan. Regarding the method by which the action value function update unit 302 updates the action value function, any learning algorithm may be adopted. As an example, for instance, the case of applying reinforcement learning can be cited. Reinforcement learning means that an agent (acting entity) in a certain environment observes the current state and determines the action to be taken. By selecting an action, the agent obtains a reward from the environment and learns a countermeasure to obtain the most rewards through a series of actions. As typical methods of reinforcement learning, Q-learning and TD-learning (temporal difference learning) are known. For example, in the case of Q-learning, the general update formula (action value table) of the action value function Q(s,a) is represented by Equation 1.

[0046] [Equation 1] [Number]

[0047] In Equation 1, s t represents the state at time t, and a t represents the action at time t. By the action a t , the state becomes s t+1 . r t+1 is the reward obtained by this change in state, γ is the discount rate, and α is the learning coefficient. Here, when Q-learning is applied, the next production plan determined by the optimal production plan determination unit 31 is used as an instruction to execute the action a t .

[0048] For the update formula shown in Equation 1, if the action value of the optimal action a at time t+1 is greater than the action value Q of the action a executed at time t, the action value Q at time t is increased; otherwise, the action value Q at time t is decreased. In other words, the action value function Q(s,a) is updated so that the action value Q of the action a at time t approaches the optimal action value at time t+1. As a result, the optimal action value in a certain environment is sequentially propagated to the action value in the previous environment. t The action value Q of the action a at time t is updated to approach the optimal action value at time t+1. In this way, the optimal action value in a certain environment is sequentially propagated to the action value in the previous environment.

[0049] According to the production plan optimization system according to the second embodiment, a large amount of data on the execution process of each production plan corresponding to a production request including production-related information and operation information of environmental protection facilities is collected from the production control device and the control device of the environmental protection facilities, and the cost including the operation cost of the environmental protection facilities paid to achieve the environmental protection requirements of each production plan is calculated, and a correlation model between the production plan and the cost is created by machine learning. After grasping the production request, the cost of each production plan corresponding to the production request can be quickly obtained by simulation, and the decision maker can be assisted in selecting the optimal production plan with the lowest cost from them. As a result, the operation of the environmental protection facilities can be made one of the elements in formulating the production plan, and an optimal production plan that satisfies the environmental protection requirements and minimizes the cost for different production requests can be formulated.

[0050] The main configuration of the production plan optimization system 100 according to the present embodiment has been described above. However, when calculating the reward in the reward calculation unit, the maintenance cost of the environmental protection equipment can also be taken into consideration. Specifically, the data acquisition unit 300 further acquires the maintenance cycle of the environmental protection equipment from the control device 1 of the environmental protection equipment, and the reward calculation unit 301 calculates the number of times the environmental protection equipment needs to be maintained within a certain working time according to the relationship between the working time of the environmental protection equipment and the maintenance cycle, and calculates the maintenance cost of the environmental protection equipment corresponding to each production plan together with the cost for each maintenance, and then the reward calculation unit 301 adds the calculated maintenance cost of the environmental protection equipment and the previously calculated power consumption cost to obtain the total cost of each production plan.

[0051] Also, as an example of the maintenance cost of the environmental protection equipment, for example, the costs of parts, materials, etc. to be replaced, the labor costs of workers, the energy consumption, resource consumption, etc. for the maintenance work (for example, when using a cleaning device, the replacement of cleaning water is required), etc. can be cited. By also considering the maintenance cost of the environmental protection equipment, it is possible to more accurately calculate the cost of a certain production plan while ensuring that the environmental parameters meet the minimum environmental protection requirements, and to more accurately obtain the optimal production plan.

[0052] Also, as shown in FIG. 5, the production plan optimization device 3 may further include an initial production plan providing unit 33 that stores the initial production plan, which is a list of actions to be executed in the initial stage of learning, and supplies it to the optimal production plan determination means 31 in the initial stage after the start of learning. As an example of a method for determining the initial production plan, for example, a production technician who is a user may input it via an input device (not shown), or the initial production plan may be determined by referring to the production plan history saved in advance in this initial production plan providing unit 33.

[0053] Also, in the initial stage after the start of learning, the optimal production plan determination means 31 causes the production control device 2 and the control device 1 of the environmental protection equipment to execute the initial production plan. The data acquisition unit 300 acquires production-related information and operation information of the environmental protection equipment after the execution of the initial production plan. The action value function update unit 302 also updates the action value function based on the reward calculated by the reward calculation unit and the production-related information and operation information of the environmental protection equipment after the execution of the initial production plan, and re-provides the updated action value function to the optimal production plan determination means 31.

[0054] Also, as shown in FIG. 5, the production plan optimization device 3 acquires, from outside the production plan optimization system 100, external situations that change over time during working hours, calculates the costs that can be reduced by adopting non-conventional energy for a plurality of production plans corresponding to production requirement information based on the external situations, and may further include an external situation acquisition means 34 that provides the costs that can be reduced by adopting the non-conventional energy to the learning means 30.

[0055] As an example of the external situation, for example, it is a meteorological situation such as illuminance and wind force that change over time during working hours. The external situation acquisition means 34 acquires, in real time from the outside, the meteorological situation during working hours through a communication unit (not shown), calculates the costs that can be reduced by adopting solar energy based on the illuminance information, calculates the costs that can be reduced by adopting wind energy based on the wind force information, and supplies the costs that can be reduced by adopting non-conventional energy such as solar energy and wind energy to the reward calculation unit 301 of the learning means 30. The reward calculation unit 301 calculates the reward in consideration of the costs that can be reduced by adopting non-conventional energy such as solar energy and wind energy. Therefore, the learning means 30 learns the relationship between the production requirement information and the costs of production plans in different external situations in consideration of the costs that can be reduced by adopting non-conventional energy. Then, the optimal production plan determination means 31 determines the optimal production plan in different external situations according to the production requirement information based on the learning result of the learning means 30.

[0056] Further, as described above, the external situation acquisition means 34 acquires the real-time electricity charge during the production time zone from the outside via a communication unit (not shown), and provides it to the reward calculation unit 301 in the learning means 30, so as to calculate the electricity usage cost of the production equipment and the environmental protection equipment.

[0057] According to the above configuration, since it is provided with the external situation acquisition means, calculates the reward in consideration of the external situation such as the real-time weather situation, and adopts the real-time electricity charge, the cost of each production plan can be calculated more accurately, and a better production plan can be obtained while ensuring that the environmental parameters meet the minimum environmental protection requirements.

[0058] Next, with reference to the accompanying drawings, the production plan optimization method will be described. FIG. 6 is a flowchart for explaining the production plan optimization method, FIG. 7 is a flowchart for explaining one embodiment of the learning step in FIG. 6, and FIG. 8 is a flowchart for explaining another embodiment of the learning step in FIG. 6.

[0059] As shown in FIG. 6, first, in step S1, the learning means 30 in the production plan optimization device 3 learns the relationship between the production requirement information, and the costs of a plurality of production plans corresponding to the production requirement information, based on the production-related information acquired from the production control device 2, the operation information of the environmental protection equipment acquired from the control device 1 of the environmental protection equipment, and the acquired production requirement information, stores the learning result in the learning result storage unit 32, and proceeds to step S2. The specific method of learning will be described later.

[0060] Next, in step S2, the optimal production plan determination means 31 calls the learning result from the learning result storage unit 32, and based on the learning result, selects, as the optimal production plan, the production plan with the lowest cost among the plurality of production plans corresponding to the production requirement information according to the production requirement information.

[0061] Hereinafter, one embodiment of learning will be described.

[0062] As shown in FIG. 7, after learning starts, first, in step S101, the optimal production plan determination means 31 acquires the initial production plan from the initial production plan providing unit 33, and provisionally provides the initial production plan to the control device 1 of the environmental protection equipment and the production control device 2 as the optimal production plan so far, and causes each of the environmental protection devices A to C and each of the production devices a to c to execute, and proceeds to step S102.

[0063] Next, in step S102, the data acquisition unit 300 of the learning means 30 acquires production-related information including at least the production speeds, power consumption amounts, and production time zones of the production facilities a to c from the production control device 2, and acquires operation information of the environmental protection equipment including at least the environmental parameters during operation of each of the environmental protection devices A to C and the operation frequencies and working hours of each of the environmental protection devices A to C from the control device 1 of the environmental protection equipment, and acquires production requirement information, and proceeds to step S103.

[0064] In step S103, the reward calculation unit 301 in the learning means 30 calculates the power consumption amounts of the environmental protection devices A to C according to the operation frequencies and working hours of the environmental protection devices A to C respectively, adds the power consumption amounts of the environmental protection devices A to C and the power consumption amounts of the production facilities a to c, and multiplies by the unit power price within the production time zone acquired from the external situation acquisition means 34, thereby calculating the power consumption costs of the production facilities a to c and the environmental protection devices A to C as the cost of the production plan, and proceeds to step S104.

[0065] In step S104, the reward calculation unit 301 determines the change status of the cost. For example, an initial cost may be set in advance, and the cost of the calculated first production plan may be compared with the initial cost. In step S104, if it is determined that the cost has decreased compared to the initial cost (step S104: cost has decreased), the process proceeds to step S105. After increasing the reward by, for example, +1, the reward calculation unit 301 ends the reward calculation process and sends the calculation result to the action value function update unit 302. In step S104, if it is determined that the cost has not changed compared to the initial cost (step S104: cost has not changed), the process proceeds to step S106. Without changing the reward, the reward calculation unit 301 ends the reward calculation process and sends the calculation result to the action value function update unit 302. In step S104, if it is determined that the cost has increased compared to the initial cost (step S104: cost has increased), the process proceeds to step S107. After decreasing the reward by, for example, -1, the reward calculation unit 301 ends the reward calculation process and sends the calculation result to the action value function update unit 302.

[0066] Next, in step S108, the action value function update unit 302 updates the action value function according to the reward calculated by the reward calculation unit 301, the production requirement information, the production speeds of production facilities a to c corresponding to the first production plan, the production time zones, the operating frequencies of environmental facilities A to C, and the working hours. The specific method for updating the action value function is as described above.

[0067] And in step S109, the learning means 30 determines whether or not the learning end condition is satisfied. Here, the learning end condition is the condition under which the learning means 30 terminates machine learning. As an example of the learning end condition, for example, the number of learning times may exceed a predetermined upper limit value, or for a certain production requirement, the reward calculated by substituting the history of data such as production-related information, operation information of environmental protection facilities, and the production requirement information accumulated in the past into the action value function may be the same as the reward calculated based on the measured value by the reward calculation unit 301, or the deviation between the two may be within a predetermined range. When the learning means 30 determines that the above learning end condition is not satisfied (step S109: NO), it proceeds to step S110, executes the next production plan, then returns to step S102, and resumes learning of the next production plan. In this case, steps S102 to S109 are repeatedly executed. On the other hand, when the learning means 30 determines that the above learning end condition is satisfied (step S109: YES), it ends the entire process of learning.

[0068] Hereinafter, another embodiment of learning will be described.

[0069] This embodiment of learning is different from the previous embodiment in that after executing the first production plan in step S101, it proceeds to step S111. In step S111, the data acquisition unit 300 not only acquires production-related information, operation information of environmental protection facilities, and production requirement information, but also acquires the maintenance cycles of the environmental protection facilities A to C from the control device 1 of the environmental protection facilities.

[0070] Further, after calculating the power consumption costs of the environmental protection facilities A to C and the production facilities a to c in step S103, the reward calculation unit 301 calculates the maintenance cost of the environmental protection facilities according to the working hours and maintenance cycles of the environmental protection facilities in step S112, and moreover, in step S113, adds the power consumption cost calculated in step S103 and the maintenance cost of the environmental protection facilities calculated in step S112 as the cost of the production plan.

[0071] Since the other steps of this embodiment are the same as those of the previous embodiment, the description thereof will be omitted.

[0072] As described above, the production plan optimization method of this embodiment has been described. However, the present invention is not limited thereto. For example, the data acquisition unit 300 may acquire the externally changing situation during the working day from the external situation acquisition means 34 after the completion of step S102 or step S111. The reward calculation unit 301 may further calculate, in step S103 or step S113, the cost that can be reduced by adopting non-conventional energy based on the external situation, and calculate the cost of the production plan in consideration of the cost that can be reduced by adopting the non-conventional energy.

[0073] In addition, although the case where the production plan optimization device of the present invention is realized by hardware has been described above, the present invention is not limited thereto. The production plan optimization method of the present invention may be realized by software or by a combination of software and hardware. Further, a program for executing the production plan optimization method of the present invention may be stored in various computer-readable media, and may be loaded and executed on, for example, a CPU or the like as needed. The computer-readable medium is not particularly limited, and for example, optical disks such as HDD, CD-ROM, CD-R, MO, MD, DVD, IC cards, floppy (registered trademark) disks, semiconductor memories such as mask ROM, EPROM, EEPROM, flash ROM, etc. can be used.

[0074] Embodiment 3.

[0075] Hereinafter, with reference to FIGS. 9 to 14, a production plan optimization system including a control device for environmental protection equipment according to Embodiment 3 will be described.

[0076] FIG. 9 is a block diagram for explaining the configuration of the production plan optimization system according to Embodiment 3. As shown in FIG. 9, the production plan optimization system 100' according to Embodiment 3 is different from the production plan optimization system 100 of Embodiment 2 in that it further includes a supply facility 4 that provides resources to production facilities a to c.

[0077] The resources provided by the supply facility 4 to the production facilities a to c are, for example, cold water, warm water, compressed air, or electric power. The supply facility 4 generates supply facility information related to the supply facility 4 and outputs the generated supply facility information to the production plan optimization device 3'. Note that the supply facility 4 controls the supply status of resources in response to an instruction from the production plan optimization device 3'. Although not shown, between the production facilities a to c and the supply facility 4, they are connected by a supply line for resource supply such as a water supply pipe, an air pipe, or an electric wire.

[0078] The specific configuration of the production plan optimization device 3' will be described below. As shown in FIG. 5, the production plan optimization device 3' according to this embodiment is different from the production plan optimization device 3 of Embodiment 2 in that it further includes a required resource amount calculation unit 401, a cost calculation unit 402, and a production evaluation index calculation unit 403.

[0079] The required resource amount calculation unit 401 acquires the production-related information generated after the implementation of the production plan from the production control device 2 and acquires the supply facility information generated after the implementation of the production plan from the supply facility 4. And the required resource amount calculation unit 401 determines a plurality of types of resources for realizing the production plan based on the acquired production-related information and supply facility information according to the production plan. Then, the required resource amount calculation unit 401 calculates the amounts of various resources required to realize the production plan as the required resource amounts. Since the production plan includes a plurality of production processes, the required resource amount calculation unit 401 determines the resources required to realize each production process for each process and calculates the required resource amounts of the determined resources.

[0080] FIG. 11 shows an example of the supply facility information according to Embodiment 3, that is, an example of the supply facility information of the compressed air supply facility. As shown in FIG. 11, the supply facility information of the compressed air supply facility is composed of a supply facility, an operation time, a supply amount, an operation of the facility, resources for the supply facility, and the like.

[0081] The required resource amount calculation unit 401 acquires the supply facility information from the supply facility 4, acquires production-related information from the production control device 2, and based on the acquired supply facility information and production-related information, calculates the total required amount of resources consumed in each production process of the production facilities a to c and the supply facility 4, thereby generating required resource amount information.

[0082] FIG. 12 shows an example of the required resource amount information. In the required resource amount information of FIG. 12, the required resource amounts calculated by the required resource amount calculation unit 401 are shown for each production process. In the required resource amount information of FIG. 12, as resources for realizing the production plan, consumed resources, inventory management resources, and supply facility resources are exemplified. Consumed resources are resources consumed during production. Consumed resources include, for example, materials for production. Inventory management resources are resources for product inventory management. Supply facility resources are resources consumed by the supply facility that provides the consumed resources in order to provide the consumed resources. In FIG. 12, "600 pieces" etc. described in the column of consumed resources are the required resource amounts of consumed resources. Also, "3000 storage management resources" described in the column of inventory management resources is the required resource amount of inventory management resources. Therefore, in FIG. 12, the required resource amounts of consumed resources, inventory resources, and supply facility resources are shown for each production process.

[0083] The cost calculation unit 402 calculates the cost for obtaining the required resource amount for each type of resource determined by the required resource amount calculation unit 401. As described above, since the required resource amount calculation unit 401 calculates the required resource amount for each production process, the cost calculation unit 402 also calculates the cost for obtaining the required resource amount for each production process. Specifically, the cost calculation unit 402 obtains the required resource amount information from the required resource amount calculation unit 401, integrates it with the expense item information stored, and calculates the cost of the resources required for the production equipment and supply equipment in each production process, thereby generating cost information.

[0084] FIG. 13 shows the expense item information. As shown in FIG. 13, the expense item information is composed of an expense item, a cost, and a type of cost. The expense item corresponds to the expense item of the consumed resource shown in FIG. 12. In the column of the cost, the unit price of each expense item is shown. In the column of the type of cost, the classification of the cost in the usage classification is shown. Note that the remarks column shown in FIG. 13 is for reference and is not included in the expense item information.

[0085] FIG. 14 shows the cost information. As shown in FIG. 14, the configuration of the cost information is the same as the configuration of the required resource amount information in FIG. 12. However, in the required resource amount information in FIG. 12, the required resource amount is described for each production process and type of resource, and in the cost information in FIG. 14, the cost is described for each production process and resource document.

[0086] For resources other than the inventory management resources, the cost calculation unit 402 calculates the cost of each resource by multiplying the required resource amount described in the required resource amount information in FIG. 12 by the value of the cost described in the expense item information in FIG. 13.

[0087] For the inventory management resources, the cost calculation unit 402 calculates the cost according to Equation 1 below.

[0088] [Equation 1]

[0089] Inventory management cost = Σ[(inventory quantity) × (material cost) × (inventory interest) / 100 + (inventory quantity) × (retention time) × (inventory management cost) × (storage management resources)]

[0090] The production evaluation index calculation unit 403 acquires cost information from the cost calculation unit 402, and calculates a production index that becomes an index for optimizing the production plan based on the acquired cost information.

[0091] Specifically, for each production process, the production evaluation index calculation unit 403 assigns each resource to a certain usage category according to the usage of the resource. Then, the production evaluation index calculation unit 403 sums up the costs of the resources for each production process and usage category. In addition, the production evaluation index calculation unit 403 standardizes the total cost results of multiple usage categories of multiple production processes. The total cost result standardized by the production evaluation index calculation unit 403 is used as the production evaluation index.

[0092] FIG. 15 shows production evaluation index information. The production evaluation index information shows the production evaluation index for each type category calculated by the production evaluation index calculation unit 403 for each production process. In the example of FIG. 15, as usage categories, a material category, an energy category, an inventory management category, etc. are exemplified.

[0093] The production evaluation index of the material category is the sum of the values obtained by multiplying the material cost and the labor cost by the load time and dividing by the production quantity (see Equation 2 below). In the example of FIG. 15, the material cost is the value of screws and paint, and the labor cost is the value of workers. Note that the load time is the time obtained by subtracting the planned downtime from the working time according to the current production plan, as shown in Equation 5 below.

[0094] The production evaluation index of the energy category is the sum of the values obtained by multiplying the energy cost by the load time and dividing by the production quantity (see Equation 3 below). In the example of FIG. 15, the energy cost is the value of air and electricity.

[0095] The production evaluation index of the inventory management category is the sum of the values obtained by multiplying the inventory management cost by the load time and dividing by the production quantity (see Equation 4 below). In the example of FIG. 15, the inventory management cost is the value of storage management resources.

[0096] [Equation 2]

[0097] (Material) = Σ{(Material cost) + (Labor cost)} × (Load time) / (Production quantity)

[0098] [Equation 3]

[0099] (Energy) = Σ(Energy cost) × (Load time) / (Production quantity)

[0100] [Equation 4]

[0101] (Inventory management) = Σ(Inventory management cost) × (Load time) / (Production quantity)

[0102] [Equation 5]

[0103] (Load time) = (Working time) - (Planned downtime)

[0104] As described above, when the production evaluation index is obtained for each application category, the production evaluation index calculation unit 403 calculates the evaluation value of the production plan using the production evaluation index for each application category and the weighting coefficient for each application category. The evaluation value is an index value obtained by unifying the production evaluation indexes for each application category.

[0105] Specifically, the more appropriate the production plan is, the smaller the evaluation value obtained by the following Equation 6 is.

[0106] [Equation 6]

[0107] (Evaluation value) = w1 × (Material) + w2 × (Energy) + w3 × (Inventory management)

[0108] However, w1, w2, and w3 are weighting coefficients, which can be appropriately set by the user according to the situation such as the environment of the production site and the priority of evaluation.

[0109] Finally, the production evaluation index calculation unit 403 inputs the calculated evaluation value to the data acquisition unit 300 of the learning means 30 and uses it as a reward together with the operation cost of the environmental protection equipment by the reward calculation unit 301.

[0110] According to the production plan optimization system according to the third embodiment, in addition to the power consumption cost of production facilities, considering the costs of many necessary resources such as materials, energy, and inventory management in the production process, including the operation cost of environmental protection facilities to achieve the environmental protection requirements of each production plan, a correlation model between the production plan and the cost is created by machine learning, so that the cost of the production plan can be further reduced and a more optimal production plan can be obtained.

[0111] It should be noted that all aspects of the above-disclosed embodiments should be considered merely as examples and not as restrictive. The scope of the present invention is represented by the claims rather than the above embodiments, and it goes without saying that the scope of the present invention also includes all corrections and modifications within the meaning and scope equivalent to the claims. Industrial applicability

[0112] As described above, according to the control device for environmental protection facilities of the present invention, the production plan optimization system including the control device for environmental protection facilities, the production plan optimization method, and the computer-readable medium recording the program for executing the production plan optimization method, it is useful for optimizing the operation mode of environmental protection facilities in a factory equipped with environmental protection facilities and the overall production plan of the factory.

Explanation of reference numerals

[0113] 1 Control device for environmental protection facilities 2 Production control device 3, 3’ Production plan optimization device 4 Supply facilities 10 Environmental parameter acquisition means 11 Adjustment means 12 Control means 30 Learning means 31 Optimal production plan determination means 32 Learning result storage unit 33 Initial production plan providing unit 34 External situation acquisition means 100, 100’ Production plan optimization system 101 VOC Collection Device Monitoring Probe 102 Purge Gas VOC Concentration Monitoring Probe 104, 105 Flow Meters 106 Water Quality Monitoring Probe 201 Blower Frequency Converter 203 Solenoid Valve Controller 300 Data Acquisition Unit 301 Reward Calculation Unit 302 Action Value Function Update Unit 401 Required Resource Quantity Calculation Unit 402 Cost Calculation Unit 403 Production Evaluation Index Calculation Unit

Claims

1. An environmental parameter acquisition means for acquiring environmental parameters during operation of the environmental protection equipment, An adjustment means for adjusting the environmental protection equipment, Based on the environmental parameters acquired by the environmental parameter acquisition means, the environmental parameters satisfy the minimum environmental protection requirements that can achieve predetermined environmental quality standards and / or pollutant emission standards, and the operation cost of the environmental protection equipment is reduced. A control means for controlling the adjustment means, The environmental protection equipment is a water recovery and reuse equipment, and includes an industrial water treatment device, a water-using process section, an industrial wastewater treatment device, and a recycled water treatment device, The environmental parameter acquisition means includes a water quality monitoring probe for acquiring water quality parameters of industrial wastewater after use from at least the water-using process section, and a flow meter for acquiring water flow rates from at least the industrial water treatment device and the recycled water treatment device, and uses the water quality parameters and the water flow rates as the environmental parameters, The adjustment means is an electromagnetic valve controller, and adjusts the conduction direction of an electromagnetic valve provided between the water-using process section and the industrial wastewater treatment device, The control means controls the electromagnetic valve controller based on the water quality parameters and the water flow rate so that the water quality parameters satisfy the minimum environmental protection requirements and the operation cost of the water recovery and reuse equipment is reduced. A control device for an environmental protection equipment, characterized by the above.

2. An environmental parameter acquisition means for acquiring environmental parameters during operation of the environmental protection equipment, an adjustment means for adjusting the environmental protection equipment, and based on the environmental parameters acquired by the environmental parameter acquisition means, the environmental parameters satisfy the minimum environmental protection requirements that can achieve predetermined environmental quality standards and / or pollutant emission standards, and the operation cost of the environmental protection equipment is reduced. A control means for controlling the adjustment means, and a control device for an environmental protection equipment that controls the environmental protection equipment so that the environmental parameters satisfy the minimum environmental protection requirements according to the production plan, and acquires operation information of the environmental protection equipment from the environmental protection equipment, A production control device that controls production equipment according to a production plan and acquires production-related information from the production equipment, Obtain production requirement information, obtain the production-related information from the production control device, obtain the operation information of the environmental protection equipment from the control device of the environmental protection equipment, and determine a plurality of production plans according to the production requirement information. Based on the production-related information and the operation information of the environmental protection equipment, obtain the cost of each production plan in the plurality of production plans, and then select, from the plurality of production plans, the production plan with the lowest cost of the production plan as the optimal production plan, and provide the optimal production plan to the control device of the environmental protection equipment and the production control device. A production plan optimization system characterized by comprising a production plan optimization device.

3. The production plan optimization device is a learning means for learning the relationship between the production requirement information and the costs of the plurality of production plans based on the production-related information, the operation information of the environmental protection equipment, and the production requirement information; An optimal production plan determination means for determining the optimal production plan according to the production requirement information based on the learning result of the learning means. The production plan optimization system according to claim 2, characterized by comprising the same.

4. The learning means is a data acquisition unit that obtains the production-related information including at least the production speed, power consumption, and production time zone of the production equipment from the production control device, obtains the environmental parameters, the operation frequency, and the working time of the environmental protection equipment from the control device of the environmental protection equipment, and obtains the production requirement information; a reward calculation unit that calculates the power consumption cost of the production equipment and the environmental protection equipment as the cost of each production plan in the plurality of production plans by calculating the power consumption of the environmental protection equipment according to the operation frequency and working time of the environmental protection equipment, adding the power consumption of the environmental protection equipment and the power consumption of the production equipment, and multiplying by the unit power price within the production time zone, and calculates a reward based on the cost of each production plan; An action value function update unit that updates the action value function according to the reward calculated by the reward calculation unit, the production requirement information, the production speed, the production time zone of the production equipment corresponding to each production plan, and the operation frequency and working time of the environmental protection equipment. The production plan optimization system according to claim 3, characterized by comprising the same.

5. The data acquisition unit further acquires the maintenance cycle of the environmental protection equipment from the control device of the environmental protection equipment. The reward calculation unit calculates the maintenance cost of the environmental protection equipment according to the working hours and maintenance cycle of the environmental protection equipment, adds the maintenance cost of the environmental protection equipment and the power consumption cost of the production plan optimization system, and uses the sum as the cost of each production plan in the plurality of production plans. The production plan optimization system according to claim 4, characterized in that.

6. The production plan optimization device further includes an initial production plan providing unit that determines an initial production plan according to a user input or a stored production plan history, and provides the initial production plan to the optimal production plan determining means. The optimal production plan determining means provides the initial production plan to the production control device and the control device of the environmental protection equipment. The production plan optimization system according to claim 3, characterized in that.

7. The production plan optimization device acquires external situations that change based on time within a working day from outside the production plan optimization system, and based on the external situations, calculates the costs that can be reduced by adopting non-conventional energy for the plurality of production plans corresponding to the production requirement information. The production plan optimization device further includes an external situation acquisition means. The learning means further learns the relationship between the production requirement information and the costs of the plurality of production plans in different external situations, taking into account the costs that can be reduced by adopting non-conventional energy. The optimal production plan determining means determines the optimal production plan in different external situations according to the production requirement information based on the learning result of the learning means. The production plan optimization system according to any one of claims 3 to 6, characterized in that.

8. The environmental protection equipment is a VOC treatment equipment, and includes a VOC collection device, a VOC treatment device, and a purge gas discharge device. The environmental parameter acquisition means is a VOC concentration monitoring probe, and acquires the VOC concentration from at least the VOC collection device and the purge gas discharge device respectively, and uses the VOC concentration as the environmental parameter. The adjustment means is a frequency converter, and adjusts at least the operating frequency of the blower of the VOC treatment equipment. The control means controls the frequency converter based on the VOC concentration such that the VOC concentration satisfies the minimum environmental protection requirements and reduces the operating cost of the VOC treatment facility. The production plan optimization system according to claim 2 is characterized by this.

9. The environmental protection facility is a water recovery and reuse facility, and includes an industrial water treatment device, a water-using process section, an industrial wastewater treatment device, and a recycled water treatment device. The environmental parameter acquisition means includes a water quality monitoring probe that acquires water quality parameters of used industrial wastewater from at least the water-using process section, and a flow meter that acquires water flow rates from at least the industrial water treatment device and the recycled water treatment device. The water quality parameters and the water flow rates are used as the environmental parameters. The adjustment means is a solenoid valve controller that adjusts the conduction direction of a solenoid valve provided between the water-using process section and the industrial wastewater treatment device. The control means controls the solenoid valve controller based on the water quality parameters and the water flow rates such that the water quality parameters satisfy the minimum environmental protection requirements and reduce the operating cost of the water recovery and reuse facility. The production plan optimization system according to claim 2 is characterized by this.

10. A learning step of learning the relationship between the production requirement information, the cost of a plurality of production plans corresponding to the production requirement information, based on production-related information obtained from a production control device that controls production equipment according to a production plan, operation information of an environmental protection facility obtained from a control device of the environmental protection facility that controls the environmental protection facility according to a production plan, and production requirement information. An optimal production plan determination step of selecting, as an optimal production plan, the production plan with the lowest cost among the plurality of production plans according to the production requirement information based on the learning result in the learning step. The production plan optimization method is characterized by comprising this.

11. The learning step is A data acquisition step of acquiring the production-related information including at least the production speed, power consumption, and production time range of the production equipment from the production control device, and acquiring the operation information of the environmental protection equipment including at least the environmental parameters during operation of the environmental protection equipment, the operation frequency, and the working time of the environmental protection equipment from the control device of the environmental protection equipment, and acquiring the production requirement information; A reward calculation step of calculating the power consumption of the environmental protection equipment according to the operation frequency and working time of the environmental protection equipment, adding the power consumption of the environmental protection equipment and the power consumption of the production equipment, and multiplying by the unit power price within the production time range to calculate the power consumption cost of the production equipment and the environmental protection equipment as the cost of each production plan in the plurality of production plans, and calculating a reward based on the cost of each production plan; An action value function update step of updating the action value function according to the reward calculated in the reward calculation step, the production requirement information, the production speed, production time range of the production equipment corresponding to each production plan, and the operation frequency and working time of the environmental protection equipment. The production plan optimization method according to claim 10 is characterized by comprising the above steps.

12. In the data acquisition step, further acquire the maintenance cycle of the environmental protection equipment from the control device of the environmental protection equipment; In the reward calculation step, calculate the maintenance cost of the environmental protection equipment according to the working time and maintenance cycle of the environmental protection equipment, add the maintenance cost of the environmental protection equipment and the power consumption cost, and use it as the cost of each production plan in the plurality of production plans. The production plan optimization method according to claim 11 is characterized by the above.

13. Further comprising an initial production plan providing step of determining and providing an initial production plan according to the user's input or the saved production plan history; In the optimal production plan determination step, providing the initial production plan to the control device of the production equipment and the control device of the environmental protection equipment. The production plan optimization method according to claim 10 is characterized by the above.

14. Further include an external situation acquisition step of acquiring an external situation that changes based on time within a working day from the outside, and calculating a cost that can be reduced by adopting non-conventional energy for the plurality of production plans corresponding to the production requirement information based on the external situation. In the learning step, further learn the relationship between the production requirement information and the costs of the plurality of production plans in different external situations, taking into account the costs that can be reduced by adopting non-conventional energy. In the optimal production plan determination step, based on the learning result in the learning step, determine the optimal production plan in different external situations according to the production requirement information. The production plan optimization method according to any one of claims 10 to 13, characterized in that.

15. A computer-readable medium recording a program for executing the production plan optimization method according to any one of claims 10 to 14.

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