Regulation and control method based on air conditioning system of enterprise clean room

Abstract

The invention provides a regulation and control method based on an air conditioning system of an enterprise clean room, and the method comprises the steps: constructing constraint conditions of regulation and control parameters of a to-be-regulated and controlled clean room based on a production power limiting range, an intermediate product inventory limiting range, a fresh air volume limiting range and a temperature limiting range of the to-be-regulated and controlled clean room, the regulation and control parameters comprise production power, fresh air volume of an air conditioner air supply system and indoor temperature; based on the operation parameters of the air conditioner air supply system and the air conditioner refrigeration system of the clean room to be regulated and controlled, a relation model between the fresh air unit fan power of the air conditioner air supply system and the regulation and control parameters and a relation model between the cold load of the air conditioner refrigeration system and the regulation and control parameters are determined; carrying out optimization solution based on the relation model to obtain target values of the regulation and control parameters, and solving the target to enable the energy consumption cost of the to-be-regulated and controlled clean room to be lowest; and controlling the to-be-regulated clean room to operate based on the target value of the regulation parameter. According to the invention, optimization of energy consumption and improvement of energy efficiency can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of system control, and in particular to a control method based on an enterprise clean room air conditioning system. Background Art

[0002] The large-scale grid connection of renewable energy generation has brought significant volatility and randomness, posing a severe challenge to the stability of power supply in the power grid. The ability of traditional generators (such as thermal power and hydropower) to adjust power output is no longer sufficient to meet this challenge. Therefore, tapping the flexibility resources on the demand side, especially the regulation potential of industrial loads, has become a key means to maintain the stability of the power grid. Industrial loads have the characteristics of large base and high regulation potential. By optimizing electricity consumption behavior, the power supply pressure during peak hours of the power grid can be effectively alleviated.

[0003] Among industrial loads, biopharmaceutical companies are particularly typical. The biopharmaceutical industry has the characteristics of high-precision processing, high production environment requirements and high energy consumption. The production process is constantly developing towards high purity, high quality and high reliability, and the cleanliness and stability of the production environment are extremely high. The design of clean workshops is the core link, involving the fine control of parameters such as temperature, ventilation volume and pressure.

[0004] Cleanroom technology has been developed for many years in the fields of pharmaceuticals, microelectronics, biotechnology, etc. It is mainly used to control parameters such as air cleanliness, temperature, humidity and pressure in the production environment to ensure product quality and safety. Existing cleanroom systems usually use a constant air supply and fixed temperature and humidity settings to maintain a clean environment, which lacks flexibility and leads to low energy efficiency. Summary of the invention

[0005] The present invention provides a control method suitable for an enterprise's clean room air-conditioning system, which is used to solve the defect of low energy efficiency caused by lack of flexibility in clean room control in the prior art, and optimizes the scheduling of the clean room air-conditioning system under the premise of ensuring a stable production environment, providing effective load regulation support for the power grid, reducing the enterprise's operating costs, and improving energy utilization efficiency.

[0006] The present invention provides a control method based on an enterprise clean room air conditioning system, the method comprising: Based on the production power limit range, intermediate product inventory limit range, fresh air volume limit range, and temperature limit range of the clean room to be regulated, the constraint conditions of the control parameters of the clean room to be regulated are constructed, and the control parameters include production power, fresh air volume of the air conditioning system, and indoor temperature; Based on the operating parameters of the air conditioning and air supply system and the air conditioning and refrigeration system of the clean room to be regulated, determining the relationship models between the fan power of the fresh air unit of the air conditioning and air supply system and the cooling load of the air conditioning and refrigeration system and the regulation parameters respectively; Performing optimization and solving based on the relationship model to obtain the target value of the control parameter, wherein the solving goal is to minimize the energy consumption cost of the clean room to be controlled; The operation of the clean room to be regulated is controlled based on the target value of the regulation parameter.

[0007] According to a control method based on an enterprise clean room air conditioning system provided by the present invention, the constraints of the production power in the control parameters include: ; ; ; in, represents the production power of the clean room r to be regulated in time period t, and represent the lower limit and upper limit of the production power of the clean room to be regulated, respectively, represents the equivalent production power of the intermediate inventory of the clean room r to be regulated in time period t, and They respectively represent the lower limit and upper limit of the equivalent production power of the intermediate inventory of the clean room r to be regulated, and T is a set of regulation time periods.

[0008] According to a control method based on an enterprise clean room air conditioning system provided by the present invention, the constraint conditions of the indoor temperature in the control parameters include: ; ; in, represents the indoor temperature of the clean room r to be regulated in time period t, and represent the upper limit and lower limit of the indoor temperature of the clean room to be regulated, respectively, Indicates the length of a single period, represents the air density, is the specific heat capacity of air, represents the volume of the clean room r to be regulated, represents the heat load generated by production and personnel in the clean room r to be regulated during time period t, and They respectively represent the cooling loads of the fresh air unit and the dry cooling coil in the air-conditioning refrigeration system of the clean room r to be regulated in time period t, and T is a set of regulated time periods; The constraints of the fresh air volume in the control parameters include: ; in, represents the fresh air volume of the clean room r to be regulated in time period t, represents the production exhaust of the clean room r to be regulated within time period t, , They respectively represent the lower limit and upper limit of the fresh air volume of the clean room r to be regulated in time period t.

[0009] According to a control method based on an enterprise clean room air conditioning system provided by the present invention, a relationship model between the fan power of the air conditioning air supply system and the control parameters includes: ; in, represents the fan power of the fresh air unit in the clean room r to be regulated in time period t, Indicates the residual pressure provided by the fresh air unit of the air-conditioning air supply system, Indicates the fan efficiency of the fresh air unit of the air-conditioning air supply system.

[0010] According to a control method based on an enterprise clean room air conditioning system provided by the present invention, a relationship model between the cooling load of the air conditioning refrigeration system and the control parameters includes: ; ; in, , represents the circulating air volume of the clean room r to be regulated, represents the temperature of the circulating air in the clean room r to be regulated in time period t, represents the outdoor air temperature during time period t.

[0011] According to a control method based on an enterprise clean room air conditioning system provided by the present invention, the solution goal is: ;

[0012] in, , , , , They represent the production power, fan power of the fresh air unit, fan filter unit power, cooling load of the fresh air unit and cooling load of the dry cooling coil of the clean room r to be regulated in time period t, respectively. T is the set of regulated time periods. represents the electricity price in time period t, and R is the set of clean rooms to be regulated.

[0013] The present invention also provides a control device based on an enterprise clean room air conditioning system, the device comprising: A constraint module, for constructing constraint conditions for control parameters of the clean room to be controlled based on a production power limit range, an intermediate product inventory limit range, a fresh air volume limit range, and a temperature limit range of the clean room to be controlled, wherein the control parameters include production power, fresh air volume of the air conditioning system, and indoor temperature; A model building module, for determining the relationship model between the fan power of the fresh air unit of the air-conditioning air-supply system and the cooling load of the air-conditioning refrigeration system and the control parameters, respectively, based on the operating parameters of the air-conditioning air supply system and the air-conditioning refrigeration system of the clean room to be controlled; An optimization solution module, used for performing optimization solution based on the relationship model to obtain the target value of the control parameter, wherein the solution goal is to minimize the energy consumption cost of the clean room to be regulated; A control module is used to control the operation of the clean room to be regulated based on the target value of the regulation parameter.

[0014] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, it implements any of the control methods described above based on the enterprise clean room air conditioning system.

[0015] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the control method based on the enterprise clean room air conditioning system as described in any one of the above is implemented.

[0016] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned control methods based on the enterprise clean room air conditioning system.

[0017] The control method based on the air conditioning system of the clean room of the enterprise provided by the present invention constructs the constraint conditions of the control parameters of the clean room to be controlled based on the production power limit range, intermediate product inventory limit range, fresh air volume limit range, and temperature limit range of the clean room to be controlled, and determines the relationship model between the fan power of the fresh air unit of the air conditioning supply system and the cooling load of the air conditioning refrigeration system and the control parameters respectively based on the operating parameters of the air conditioning supply system and the air conditioning refrigeration system of the clean room to be controlled; optimizes and solves based on the relationship model to obtain the target value of the control parameter, and the solution goal is to minimize the energy consumption cost of the clean room to be controlled; and controls the operation of the clean room to be controlled based on the target value of the control parameter. A mathematical model is established to quantify the adjustable capacity of the clean room without affecting the stability of the production environment, optimize the power consumption of the clean room, and can not only effectively reduce the power demand during the peak period of the power grid, but also reduce the operating cost of the enterprise, and achieve energy consumption optimization and energy efficiency improvement. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a flow chart of a control method based on an enterprise clean room air conditioning system provided by the present invention.

[0020] Figure 2 It is a schematic diagram of a clean room air conditioning system in a control method based on an enterprise clean room air conditioning system provided by the present invention.

[0021] Figure 3 It is a structural schematic diagram of a control device based on an enterprise clean room air conditioning system provided by the present invention.

[0022] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] Combine the following Figure 1-2The present invention describes the control method based on the enterprise clean room air conditioning system. Figure 1 As shown, the control method based on the enterprise clean room air conditioning system provided by the present invention includes the steps of: S110, constructing constraint conditions for control parameters of the clean room to be controlled based on the production power limit range, intermediate product inventory limit range, fresh air volume limit range, and temperature limit range of the clean room to be controlled, where the control parameters include production power, fresh air volume of the air conditioning system, and indoor temperature; S120, based on the operating parameters of the air conditioning and air supply system and the air conditioning and refrigeration system of the clean room to be regulated, determining the relationship models between the fan power of the fresh air unit of the air conditioning and air supply system and the cooling load of the air conditioning and refrigeration system and the regulation parameters respectively; S130, performing optimization and solving based on the relationship model to obtain a target value of the control parameter, wherein the solving goal is to minimize the energy consumption cost of the clean room to be controlled; S140. Control the operation of the clean room to be regulated based on the target value of the regulation parameter.

[0025] In a clean room, the air conditioning system plays a vital role. It is not only responsible for maintaining the stability of the environment, but also directly affects the reliability of the production process and the quality of the product. The design and operation of the clean room air conditioning system must be precise to ensure that key environmental parameters such as temperature and humidity are always under strict control. In addition, the system must be equipped with efficient air filtration devices and air supply systems to effectively prevent the entry of dust particles and chemical pollutants, thereby ensuring the cleanliness of the production environment.

[0026] like Figure 2 As shown in the figure, the core components of the clean room air conditioning system include the fresh air unit (MAU), dry cooling coil (DCC) and fan filter unit (FFU).

[0027] The MAU is primarily responsible for supplying fresh air to the cleanroom. It draws air from the outside environment and sends it to the air conditioning system after preliminary filtration and temperature regulation. The MAU is designed to ensure a continuous supply of compliant air, even if external environmental conditions change, which is essential to maintaining the internal pressure and air quality of the cleanroom.

[0028] DCCs are responsible for handling circulating air. These ceiling-mounted air conditioning units integrate supply and return air systems and circulate the air in the cleanroom through dedicated ducts to achieve continuous air filtration and temperature and humidity control.

[0029] FFU is a self-contained air filtration unit that is usually mounted on the ceiling of a cleanroom or within an air handling system. Each FFU includes a fan and a high efficiency filter to capture and remove airborne particles.

[0030] Through the coordinated work of these devices, the clean room can maintain strict environmental control to ensure that the quality and safety of biopharmaceutical products during the production process are not affected by external contamination.

[0031] In the cleanroom system, the production system is regarded as an important part of the cleanroom environment control, and the operating power of the production system is regarded as one of the key variables in the model, which needs to be adjusted within a specific upper and lower limit to ensure the continuity and stability of the production process. By optimizing the power usage of the production system, the model can appropriately reduce the energy consumption of the system during the peak period of the power grid load, reduce the pressure on the power grid, and increase energy consumption during the off-peak period, thereby reducing the overall electricity cost.

[0032] The production power constraint is one of the key factors to ensure that the production system achieves energy consumption optimization while meeting the process requirements. The production power constraint stipulates that the operating power of the production system in each time period must be maintained within a certain range, that is, fluctuating between a given upper and lower limit. Under the production power constraint, the model can reduce energy consumption by reducing production power during peak grid demand periods, thereby alleviating grid pressure; during periods when the grid load is low, production power can be increased to make full use of low-cost electricity resources. Through precise control of production power, the model can not only ensure the continuity and quality of the production process, but also effectively reduce the operating costs of the enterprise and improve energy utilization efficiency. The production power can only be maintained within the required range in any given time period. That is to say, in the method provided by the present invention, the constraints on the production power in the control parameters include: ; in, represents the production power of the clean room r to be regulated in time period t, and They respectively represent the lower limit and upper limit of the production power of the clean room to be regulated.

[0033] In each production workshop, the inventory management system plays a key role to ensure the continuity and efficiency of the production process. The production power selection of the clean room directly determines the production rate of the product. Therefore, when formulating the power selection and scheduling strategy, the requirements of inventory management must be fully considered. In order to avoid interruptions in the production stage, the inventory management system needs to be closely coordinated with the production power to ensure that there is sufficient inventory of intermediate products at each stage to support subsequent production activities. At the same time, the upper and lower limit constraints of inventory are also important mechanisms to ensure production continuity and efficiency. Therefore, in the method provided by the present invention, the constraints on the production power in the control parameters also include: ; ; in, represents the equivalent production power of the intermediate inventory of the clean room r to be regulated in time period t, and They represent the lower and upper limits of the equivalent production power of the intermediate inventory of the clean room r to be regulated, and T is the set of regulation time periods.

[0034] In order to ensure the continuity and efficiency of the production process, the method provided by the present invention introduces inventory management between production systems. The setting and management of inventory are directly affected by the production rate and energy consumption rate. By adding inventory constraints to the model, the interruption of the production process can be avoided and the economic benefits of production can be guaranteed.

[0035] In the air conditioning system of the clean room, the design and operation of the air supply system directly affect the control of the fresh air volume and the total air volume, which is crucial to maintaining the environmental stability and air cleanliness of the clean room. The fresh air volume is the amount of fresh air introduced into the clean room by the air supply system, which is usually handled by the fresh air unit (MAU). The MAU inhales air from the outside, and after preliminary filtration and temperature adjustment, it sends the fresh air into the clean room through the air supply system. Before entering the clean room, the fresh air will be mixed with the circulating air, and then evenly distributed to various areas of the clean room through the air supply port.

[0036] The determination of fresh air volume requires taking the maximum value of the following two items: 1. Compensate for the total amount of fresh air required to exhaust indoor air and maintain positive indoor pressure. Usually, the number of air changes is used to calculate the amount of fresh air required to maintain a positive pressure of 10 Pa, and the number of air changes is 2 to 4 times.

[0037] 2. Ensure that the amount of fresh air supplied to indoor personnel is not less than 40m3 / h per person

[0038] Generally speaking, the total amount of fresh air required to compensate for indoor exhaust volume and maintain indoor positive pressure is greater than the amount of fresh air supplied to indoor personnel, so the constraint of fresh air volume is as follows: ; in, It represents the fresh air volume of the clean room r to be regulated in time period t, It represents the production exhaust of the clean room r to be regulated in time period t, , They respectively represent the lower limit and upper limit of the fresh air volume of the clean room r to be regulated in time period t.

[0039] In the cleanroom of a biopharmaceutical company, temperature control is crucial to maintaining the stability and productivity of drugs. When the drug production and processing technology and products in the cleanroom have special requirements for temperature and humidity, the temperature and humidity control requirements should be determined according to the requirements of the process and products. When the drug production and processing technology has no special requirements for temperature and humidity, the specifications for temperature and humidity control requirements are different according to different cleanliness levels. The indoor temperature constraint of the cleanroom is as follows: ; in, represents the indoor temperature of the clean room r to be regulated in time period t, and They respectively represent the upper and lower limits of the indoor temperature of the clean room to be regulated.

[0040] Furthermore, in the model of the clean room air conditioning system, temperature continuity is a key factor in ensuring a stable clean room environment and smooth production processes. Temperature continuity means that during the entire operation, the temperature in the clean room needs to be maintained within a set range and cannot fluctuate violently or suddenly. Therefore, in the prevention provided by the present invention, the indoor temperature constraints of the clean room also include: ; in, Indicates the length of a single period, represents the air density, is the specific heat capacity of air, represents the volume of the clean room r to be regulated, It represents the heat load generated by production and personnel in the clean room r to be regulated during the period t. and They respectively represent the cooling loads of the fresh air unit and the dry cooling coil in the air-conditioning refrigeration system of the clean room r to be regulated within time period t, and T is the set of regulated time periods.

[0041] The method provided by the present invention determines the relationship model between the fan power of the fresh air fan unit of the air-conditioning air supply system and the cooling load of the air-conditioning refrigeration system and the control parameters respectively based on the operating parameters of the air-conditioning system in the clean room to be controlled. Specifically, the relationship model between the fan power of the air-conditioning air supply system and the control parameters includes: ; in, It represents the fan power of the fresh air unit in the clean room r to be regulated in the time period t, Indicates the residual pressure provided by the fresh air unit of the air-conditioning supply system. Indicates the fan efficiency of the fresh air unit of the air conditioning system.

[0042] The sum of the circulating air volume and the fresh air volume of the clean room r to be regulated is the total air volume, that is, the circulating air volume can be obtained by subtracting the fresh air volume from the total air volume. The design of the total air volume mainly considers the cleanliness requirements of the clean room, temperature and humidity control, and the dilution and discharge of pollutants.

[0043] The total air volume of a clean room is usually determined by the following aspects: Air cleanliness level: Based on the cleanliness requirements of the clean room, calculate the air supply required to meet the corresponding cleanliness level.

[0044] Heat and Moisture Load: Calculates the volume of air required to handle heat and humidity in a room to maintain a set temperature and humidity.

[0045] Fresh air volume requirements: Ensure that the fresh air volume requirements are met while meeting the clean room air cleanliness and heat and humidity loads.

[0046] The determination of the total air volume of different clean rooms is related to the airflow pattern, ventilation frequency and average wind speed. Among them, the relevant design specifications of clean workshops stipulate the airflow pattern, ventilation frequency and average wind speed of clean rooms, as shown in Table 1.

[0047] Table 1

[0048] The purification principle of non-unidirectional cleanroom is to use clean air to dilute and wash out indoor pollutants, so as to achieve the required air cleanliness level. It is generally calculated by empirical ventilation times, which can be expressed as: ,in, It represents the total air volume required in the clean room, n represents the number of air changes, and V represents the volume of the clean room.

[0049] The clean air volume of a unidirectional clean room is calculated based on the clean room cross section perpendicular to the airflow and the average airflow velocity, and is expressed as: ,in, It represents the total air volume required in the clean room, v represents the average wind speed in the clean room, and S represents the area through which the vertical airflow passes in the clean room.

[0050] The cooling load of the clean room air conditioning and refrigeration system to be regulated includes the cooling load of the fresh air unit and the cooling load of the dry cooling coil.

[0051] When air circulates in the clean room, the DCC (dry cooling coil) will continuously process the air that has already flowed through the room, and adjust the temperature and humidity of the air by cooling and dehumidifying to ensure that the environmental conditions in the clean room are always kept within the required range. The cooling load of the dry cooling coil is as follows: ; in, , Indicates the circulating air volume of the clean room r to be regulated, represents the air density, is the specific heat capacity of air, represents the temperature of the circulating air in the clean room r to be regulated during the period t, It represents the indoor temperature of the clean room r to be regulated in time period t.

[0052] The fresh air unit (MAU) is a component in the cleanroom air conditioning system that is responsible for introducing fresh air from the outside. The MAU inhales air from the outside environment and performs preliminary filtration and temperature adjustment to ensure that the air entering the cleanroom meets the cleanliness and temperature requirements. The cooling load of the fresh air unit is as follows: ; in, , Indicates the circulating air volume of the clean room r to be regulated, represents the air density, is the specific heat capacity of air, represents the outdoor air temperature during time period t.

[0053] By coupling the power of the production system and the air conditioning system of the clean room to be regulated, the total power of the clean room can be obtained as:

[0054] in, , , , , They respectively represent the production power, fan power of the fresh air unit, fan filter unit power, cooling load of the fresh air unit and cooling load of the dry cooling coil of the clean room r to be regulated in time period t. T is the set of regulated time periods, and R is the set of clean rooms to be regulated.

[0055] In order for companies to participate in demand response more effectively, it is first necessary to conduct a detailed quantitative analysis of the adjustable potential of clean rooms. By accurately evaluating the energy consumption changes and adjustment space of clean rooms under different operating conditions, companies can clarify their specific role in demand response. By utilizing this adjustable potential of clean rooms and combining it with time-of-use electricity price policies, the pharmaceutical industry can increase energy consumption when the grid load is low and reduce energy consumption during peak electricity consumption, thereby significantly reducing electricity operating costs. See the following formula:

[0056] in: It represents the adjustable potential in each period t, with positive values ​​representing upward potential and negative values ​​representing downward potential.

[0057] By accurately quantifying the adjustable potential of the clean room, we can determine the power range that the clean room can reduce or increase in different time periods. These adjustable power adjustment ranges can help the clean room reduce energy consumption during peak hours when electricity prices are higher, thereby reducing electricity costs; during off-peak hours when electricity prices are lower, it can increase electricity consumption and make full use of low-cost electricity resources. Set the solution goal to: ; in, represents the electricity price in time period t.

[0058] By utilizing the quantified adjustable potential of clean rooms and combining it with a time-of-use electricity price strategy, not only can the company's operating costs be optimized, but also the power supply pressure on the power grid can be effectively reduced by reducing peak loads, thereby promoting the stable operation of the power grid. This flexible power strategy based on adjustable potential can achieve more efficient energy management while maintaining strict environmental control in the clean room.

[0059] In summary, the embodiment of the method provided by the present invention has the following advantages: By optimizing key parameters such as cleanroom temperature, ventilation volume and airflow velocity, it ensures that energy consumption is minimized while meeting high cleanliness requirements. It can dynamically adjust the settings of the air conditioning system according to the cleanliness level and specific production needs of different areas of the cleanroom. This flexible parameter adjustment not only ensures the stability of the production environment and avoids the impact of unstable environmental conditions on the production process and product quality, but also improves the efficiency of energy use, making the system more energy-efficient while meeting strict environmental control.

[0060] This makes the air conditioning system more adaptable and can adjust parameters such as air supply and temperature in real time when the production process needs change. Through this flexible control, the system can respond quickly when the production load changes, avoiding energy waste or reduced production efficiency due to untimely adjustment of environmental parameters. This method is particularly suitable for industries such as biomedicine that have high environmental requirements and complex production processes. It can optimize energy utilization and reduce unnecessary energy consumption while ensuring production continuity.

[0061] By deeply integrating the environmental control of the air conditioning system with the production process, this method can adjust the environmental conditions in real time during the production process, such as fine-tuning of temperature and air volume, to meet the needs of different production stages. This collaborative optimization not only ensures the maximization of production efficiency and the stability of product quality, but also reduces energy consumption by reducing unnecessary air conditioning loads. It makes environmental control more in line with actual production needs, avoids excessive system operation, and further improves the energy efficiency and economic benefits of the overall production line.

[0062] By dynamically adjusting the operation mode of the air conditioning system according to the electricity price signal, the energy consumption of the air conditioning system can be automatically reduced during peak electricity price periods to avoid excessive electricity consumption during expensive electricity price periods. At the same time, during low electricity price periods, the system can increase the operating load, such as increasing air conditioning at night or when electricity demand is low, to make full use of electricity resources. In this way, not only the operating costs of enterprises are significantly reduced, but also the stable operation of the power grid can be contributed, especially to relieve the pressure of power supply during peak load periods.

[0063] The control device based on the enterprise clean room air conditioning system provided by the present invention is described below. The control device based on the enterprise clean room air conditioning system described below and the control method based on the enterprise clean room air conditioning system described above can be referred to each other. Figure 3 As shown, the control device based on the enterprise clean room air conditioning system provided by the present invention includes the following modules: The constraint module 310 is used to construct the constraint conditions of the control parameters of the clean room to be controlled based on the production power limit range, the intermediate product inventory limit range, the fresh air volume limit range, and the temperature limit range of the clean room to be controlled. The control parameters include the production power, the fresh air volume of the air conditioning system, and the indoor temperature; A model building module 320 is used to determine the relationship model between the fan power of the fresh air unit of the air conditioning air supply system and the cooling load of the air conditioning refrigeration system and the control parameters based on the operating parameters of the air conditioning air supply system and the air conditioning refrigeration system of the clean room to be controlled; The optimization solution module 330 is used to perform optimization solution based on the relationship model to obtain the target value of the control parameter, and the solution goal is to minimize the energy consumption cost of the clean room to be regulated; The control module 340 is used to control the operation of the clean room to be regulated based on the target value of the regulation parameter.

[0064] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the control method based on the air conditioning system of the clean room of the enterprise, the method comprising: constructing the constraint conditions of the control parameters of the clean room to be controlled based on the production power limit range, the intermediate product inventory limit range, the fresh air volume limit range and the temperature limit range of the clean room to be controlled, the control parameters include the production power, the fresh air volume of the air conditioning system and the indoor temperature; based on the operating parameters of the air conditioning system and the air conditioning refrigeration system of the clean room to be controlled, determining the relationship model between the fan power of the fresh air unit of the air conditioning system and the cooling load of the air conditioning system and the control parameters; optimizing and solving based on the relationship model to obtain the target value of the control parameter, the solution target is to minimize the energy consumption cost of the clean room to be controlled; and controlling the operation of the clean room to be controlled based on the target value of the control parameter.

[0065] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0066] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the control method based on the enterprise clean room air conditioning system provided by the above-mentioned methods, the method including: constructing constraints on the control parameters of the clean room to be controlled based on the production power limit range, intermediate product inventory limit range, fresh air volume limit range, and temperature limit range of the clean room to be controlled, and the control parameters include production power, fresh air volume of the air conditioning supply system, and indoor temperature; based on the operating parameters of the air conditioning supply system and the air conditioning refrigeration system of the clean room to be controlled, determining the relationship model between the fan power of the fresh air unit of the air conditioning supply system and the cooling load of the air conditioning refrigeration system and the control parameters respectively; performing optimization and solving based on the relationship model to obtain the target value of the control parameter, and the solution target is to minimize the energy consumption cost of the clean room to be controlled; and controlling the operation of the clean room to be controlled based on the target value of the control parameter.

[0067] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the control method based on the enterprise clean room air conditioning system provided by the above-mentioned methods, the method comprising: constructing constraints on the control parameters of the clean room to be controlled based on the production power limit range, the intermediate product inventory limit range, the fresh air volume limit range, and the temperature limit range of the clean room to be controlled, the control parameters including the production power, the fresh air volume of the air conditioning supply system, and the indoor temperature; based on the operating parameters of the air conditioning supply system and the air conditioning refrigeration system of the clean room to be controlled, determining the relationship model between the fan power of the fresh air unit of the air conditioning supply system and the cooling load of the air conditioning refrigeration system and the control parameters respectively; performing optimization and solving based on the relationship model to obtain the target value of the control parameter, the solution target being to minimize the energy consumption cost of the clean room to be controlled; and controlling the operation of the clean room to be controlled based on the target value of the control parameter.

[0068] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0069] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0070] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A control method based on the clean room air conditioning system of an enterprise, characterized in that: The method comprises: Based on the production power limit range, intermediate product inventory limit range, fresh air volume limit range, and temperature limit range of the clean room to be regulated, the constraint conditions of the control parameters of the clean room to be regulated are constructed, and the control parameters include production power, fresh air volume of the air conditioning system, and indoor temperature; Based on the operating parameters of the air conditioning and air supply system and the air conditioning and refrigeration system of the clean room to be regulated, determine the relationship models between the fan power of the fresh air unit of the air conditioning and air supply system and the cooling load of the air conditioning and refrigeration system and the regulation parameters respectively; Performing optimization and solving based on the relationship model to obtain the target value of the control parameter, wherein the solving goal is to minimize the energy consumption cost of the clean room to be controlled; The operation of the clean room to be regulated is controlled based on the target value of the regulation parameter.

2. The control method based on the enterprise clean room air conditioning system according to claim 1 is characterized in that: The constraints of the production power in the control parameters include: ； ； ； in, represents the production power of the clean room r to be regulated in time period t, and represent the lower limit and upper limit of the production power of the clean room to be regulated, respectively, represents the equivalent production power of the intermediate inventory of the clean room r to be regulated in time period t, and They respectively represent the lower limit and upper limit of the equivalent production power of the intermediate inventory of the clean room r to be regulated, and T is a set of regulation time periods.

3. The control method based on the enterprise clean room air conditioning system according to claim 1 is characterized in that: The constraints of the indoor temperature in the control parameters include: ； ； in, represents the indoor temperature of the clean room r to be regulated in time period t, and represent the upper limit and lower limit of the indoor temperature of the clean room to be regulated, respectively, Indicates the length of a single period, represents the air density, is the specific heat capacity of air, represents the volume of the clean room r to be regulated, represents the heat load generated by production and personnel in the clean room r to be regulated during time period t, and They respectively represent the cooling loads of the fresh air unit and the dry cooling coil in the air-conditioning refrigeration system of the clean room r to be regulated in time period t, and T is a set of regulated time periods; The constraints of the fresh air volume in the control parameters include: ； in, represents the fresh air volume of the clean room r to be regulated in time period t, represents the production exhaust of the clean room r to be regulated within time period t, , They respectively represent the lower limit and upper limit of the fresh air volume of the clean room r to be regulated in time period t.

4. The control method based on the enterprise clean room air conditioning system according to claim 3 is characterized in that: The relationship model between the fan power of the air-conditioning air supply system and the control parameters includes: ； in, represents the fan power of the fresh air unit in the clean room r to be regulated in time period t, Indicates the residual pressure provided by the fresh air unit of the air-conditioning air supply system, Indicates the fan efficiency of the fresh air unit of the air-conditioning air supply system.

5. The control method based on the enterprise clean room air conditioning system according to claim 3 is characterized in that: The relationship model between the cooling load of the air-conditioning refrigeration system and the control parameters includes: ； ； in, , represents the circulating air volume of the clean room r to be regulated, represents the temperature of the circulating air in the clean room r to be regulated in time period t, represents the outdoor air temperature during time period t.

6. The control method based on the enterprise clean room air conditioning system according to claim 1 is characterized in that: The solution goal is: ； in, , , , , They represent the production power, fan power of the fresh air unit, fan filter unit power, cooling load of the fresh air unit and cooling load of the dry cooling coil of the clean room r to be regulated in time period t, respectively. T is the set of regulated time periods. represents the electricity price in time period t, and R is the set of clean rooms to be regulated.

7. A control device based on the air conditioning system of an enterprise clean room, characterized in that: The device comprises: A constraint module, for constructing constraint conditions for control parameters of the clean room to be controlled based on a production power limit range, an intermediate product inventory limit range, a fresh air volume limit range, and a temperature limit range of the clean room to be controlled, wherein the control parameters include production power, fresh air volume of the air conditioning system, and indoor temperature; A model building module, for determining the relationship model between the fan power of the fresh air unit of the air-conditioning air-supply system and the cooling load of the air-conditioning refrigeration system and the control parameters, respectively, based on the operating parameters of the air-conditioning air supply system and the air-conditioning refrigeration system of the clean room to be controlled; An optimization solution module, used for performing optimization solution based on the relationship model to obtain the target value of the control parameter, wherein the solution goal is to minimize the energy consumption cost of the clean room to be regulated; A control module is used to control the operation of the clean room to be regulated based on the target value of the regulation parameter.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the control method based on the enterprise clean room air conditioning system is implemented as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the control method based on the enterprise clean room air conditioning system is implemented as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the control method based on the enterprise clean room air conditioning system is implemented as described in any one of claims 1 to 6.

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