Equipment parameter adjusting method and device, electronic equipment, storage medium and product

Abstract

The embodiment of the invention discloses an equipment parameter adjusting method and device, electronic equipment, a storage medium and a product, the method is applied to a refrigerating system comprising a plurality of refrigerating equipment, and the method comprises the steps that to-be-processed parameters matched with the current operation mode of the refrigerating system are obtained; when the to-be-processed parameters meet mode conversion conditions matched with the current operation mode, the current operation mode of the refrigeration system is switched into a target operation mode, and refrigeration equipment participating in work is determined according to the target operation mode; based on constraint conditions corresponding to the refrigeration equipment in the target operation mode, first operation parameters of the refrigeration equipment are adjusted; and according to the adjusted first operation parameters and the target optimization model corresponding to each refrigeration device, target operation parameters of the refrigeration system are determined. According to the technical scheme, the equipment parameter adjusting efficiency of the refrigerating system is improved, the energy consumption of the refrigerating system is reduced, and therefore the energy saving performance of the refrigerating system is improved.

Description

Technical Field

[0001] The embodiments of the present disclosure relate to the field of automatic control technology, and in particular to a method, apparatus, electronic device, storage medium and product for adjusting device parameters. Background Art

[0002] The refrigeration system is an integrated system composed of multiple refrigeration devices, which is designed to achieve a cooling effect. At present, when adjusting the parameters of the refrigeration devices in the old refrigeration system, each refrigeration device can only be manually controlled based on human work experience.

[0003] When implementing the technical solution based on the above method, the inventor found the following problems:

[0004] The above-mentioned refrigeration system parameter adjustment method relying on manual experience has the problem of low efficiency in parameter adjustment of old refrigeration system equipment due to the subjectivity and lag of manual operation; furthermore, the above-mentioned method cannot accurately adjust the parameters of each refrigeration equipment, and there is also the problem of high energy consumption and poor energy saving of the refrigeration system. Summary of the invention

[0005] The present invention provides an equipment parameter adjustment method, device, electronic equipment, storage medium and product to improve the equipment parameter adjustment efficiency of a refrigeration system, reduce the energy consumption of the refrigeration system, and thus improve the energy saving of the refrigeration system.

[0006] In a first aspect, an embodiment of the present invention provides a device parameter adjustment method, which is applied to a refrigeration system, wherein the refrigeration system includes at least one refrigeration device, and the method includes:

[0007] Acquire parameters to be processed that are compatible with the current operation mode of the refrigeration system;

[0008] When the parameters to be processed meet the mode conversion conditions that are compatible with the current operation mode, the current operation mode of the refrigeration system is switched to the target operation mode, so as to determine the refrigeration equipment involved in the operation according to the target operation mode;

[0009] Based on the constraint conditions respectively corresponding to the refrigeration equipment in the target operation mode, adjusting the first operation parameters of the refrigeration equipment; wherein the first operation parameters at least include the operation frequency of the refrigeration equipment;

[0010] The target operating parameters of the refrigeration system are determined according to the adjusted first operating parameters and the target optimization model corresponding to each refrigeration device.

[0011] Furthermore, before obtaining the parameters to be processed that are adapted to the current operation mode of the refrigeration system, the method further includes:

[0012] Get the current operating parameters of all refrigeration equipment in the refrigeration system;

[0013] According to the current operating parameters, the current operating mode of the refrigeration system is determined.

[0014] Further, the method also includes: the current operation mode includes a cooling mode, a pre-cooling mode or a natural cooling mode;

[0015] The mode conversion conditions corresponding to the chiller mode include: the outdoor wet-bulb temperature is less than the first preset temperature, and the difference between the cooling water inlet temperature and the freezing water temperature is less than the second preset temperature;

[0016] The mode conversion conditions corresponding to the precooling mode include a first mode conversion condition and a second mode conversion condition. The first mode conversion condition includes: the plate exchanger supply and return water temperature difference is less than the second preset temperature for a duration greater than the first preset time; the second mode conversion condition includes: the plate exchanger chilled water outlet temperature is less than the third preset temperature for a duration greater than the second preset time;

[0017] The mode conversion conditions corresponding to the natural cooling mode include: the outdoor wet-bulb temperature is greater than a fourth preset temperature, and the chilled water outlet temperature is greater than a fifth preset temperature.

[0018] Furthermore, the method also includes:

[0019] The target operation mode compatible with the current operation mode includes any of the following:

[0020] When the current operation mode is the cooling mode, the target operation mode is the pre-cooling mode;

[0021] When the current operation mode is the pre-cooling mode, the target operation mode is the cooling mode that satisfies the first mode conversion condition, or the natural cooling mode that satisfies the second mode conversion condition;

[0022] When the current operation mode is the natural cooling mode, the target operation mode is the pre-cooling mode.

[0023] Further, the method further comprises: when the target operation mode is the natural cooling mode, the constraint condition comprises a first constraint condition of the cooling equipment and a first constraint condition of the freezing equipment;

[0024] The first constraint condition of the cooling equipment includes: the vibration frequency of the cooling water pump and the cooling tower fan in the cooling equipment is within the first frequency range;

[0025] The first constraint condition of the refrigeration equipment includes: the operating frequency of the motor of the refrigeration water pump in the refrigeration equipment is within a first frequency range.

[0026] Further, the method further comprises: when the target operation mode is a cooling machine mode or a pre-cooling mode, the constraint condition comprises a cooling equipment second constraint condition and a freezing equipment second constraint condition;

[0027] The second constraint condition of the cooling device includes that the operating frequency of the cooling tower fan in the cooling device is within the first frequency range, and the operating frequency of the motor of the cooling water pump in the cooling device is within the second frequency range;

[0028] The second constraint condition of the refrigeration equipment includes that the operating frequency of the motor of the refrigeration water pump in the refrigeration equipment is within a second frequency range.

[0029] Furthermore, the method also includes:

[0030] For each refrigeration device, adjusting the current operating frequency of the refrigeration device according to the constraint conditions of the refrigeration device in the target operating mode;

[0031] When the refrigeration device operates for a preset time according to the adjusted operating frequency, a first operating parameter of the refrigeration device is obtained.

[0032] Furthermore, the method also includes:

[0033] Determine the equipment working quantity of each refrigeration equipment and the updated first operating parameter according to the adjusted first operating parameter and the input and output parameters in the target optimization model of each refrigeration equipment;

[0034] Among them, the target optimization model of each refrigeration equipment is a data model fitted based on historical operation data.

[0035] In a second aspect, an embodiment of the present invention further provides an equipment parameter adjustment device, which is applied to a refrigeration system, wherein the refrigeration system includes at least one refrigeration device, and the device includes:

[0036] A parameter acquisition module, used to acquire parameters to be processed that are compatible with the current operation mode of the refrigeration system;

[0037] An operation mode switching module, used to switch the current operation mode of the refrigeration system to a target operation mode when the parameters to be processed meet the mode conversion conditions adapted to the current operation mode, so as to determine the refrigeration equipment involved in the operation according to the target operation mode;

[0038] An operating parameter adjustment module, configured to adjust a first operating parameter of the refrigeration device based on the constraint conditions respectively corresponding to the refrigeration devices in the target operating mode; wherein the first operating parameter at least includes an operating frequency of the refrigeration device;

[0039] The target parameter determination module is used to determine the target operating parameters of the refrigeration system according to the adjusted first operating parameters and the target optimization model corresponding to each refrigeration device.

[0040] In a third aspect, an embodiment of the present invention further provides an electronic device, the electronic device comprising:

[0041] one or more processors;

[0042] a storage device for storing one or more programs,

[0043] When one or more programs are executed by one or more processors, the one or more processors implement a device parameter adjustment method as described in any one of the embodiments of the present invention.

[0044] In a fourth aspect, an embodiment of the present invention further provides a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to execute a device parameter adjustment method as described in any one of the embodiments of the present invention.

[0045] The technical solution of the embodiment of the present invention is applied to a refrigeration system including at least one refrigeration device. The method obtains the parameters to be processed that are compatible with the current operation mode of the refrigeration system. Then, when the parameters to be processed meet the mode conversion conditions that are compatible with the current operation mode, the current operation mode of the refrigeration system is switched to the target operation mode, so as to determine the refrigeration devices involved in the work according to the target operation mode. The natural cold source can be fully utilized through the mode conversion conditions to realize the automatic switching of different working models of the refrigeration system, thereby saving the energy consumption of the refrigeration system and improving the energy saving of the refrigeration system. Based on the constraints corresponding to the refrigeration devices in the target operation mode, the first operation parameters of the refrigeration devices are adjusted, wherein the first operation parameters at least include the operation frequency of the refrigeration devices. Finally, the target operation parameters of the refrigeration system are determined according to the adjusted first operation parameters and the target optimization model corresponding to each refrigeration device. By fine-grained parameter adjustment of various refrigeration devices in different modes, the parameters of each refrigeration device are optimized according to the target optimization model through the energy consumption optimization target, which not only improves the equipment parameter adjustment efficiency of the refrigeration system, but also further improves the energy saving of the refrigeration system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the following briefly introduces the drawings required to describe the embodiments. Obviously, the drawings introduced are only drawings of a part of the embodiments to be described in the present invention, rather than all the drawings. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0047] Figure 1A schematic diagram of a flow chart of a device parameter adjustment method provided by an embodiment of the present invention;

[0048] Figure 2 A schematic diagram of a flow chart of another device parameter adjustment method provided by an embodiment of the present invention;

[0049] Figure 3 A schematic diagram of a mode switching process of a refrigeration system according to an embodiment of the present invention;

[0050] Figure 4 A schematic diagram of a process for adjusting the operating frequency of each refrigeration device in a refrigeration system according to an embodiment of the present invention;

[0051] Figure 5 A schematic diagram of the simulated relationship between the power and frequency of a cooling tower fan involved in an embodiment of the present invention;

[0052] Figure 6 A schematic diagram of the intelligent optimization process of a water pump according to an embodiment of the present invention;

[0053] Figure 7 A schematic diagram of the intelligent optimization process of a cooling tower fan according to an embodiment of the present invention;

[0054] Figure 8 A schematic diagram of the intelligent optimization process of a chiller / plate changer involved in an embodiment of the present invention;

[0055] Fig. 9 A schematic diagram of the architecture of a refrigeration equipment parameter adjustment method according to an embodiment of the present invention;

[0056] Fig.10 A schematic diagram of the structure of a device parameter adjustment apparatus provided by an embodiment of the present invention;

[0057] Fig.11 The present invention is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0059] Before introducing the technical solution, an example of the application scenario can be explained first. The refrigeration system is a complex system. Through the processes of compression, condensation, throttling and evaporation, the circulation of refrigerant in the system is used to achieve heat transfer and temperature reduction, thereby achieving a cooling effect. Embodiments of the present invention The technical solution provided by the embodiments of the present invention can be applied to any scenario where it is necessary to automatically adjust the parameters of each refrigeration device in an old refrigeration system.

[0060] For example, due to the defects in design architecture and equipment selection, the old refrigeration system built in the early stage generally has the characteristics of outdated hardware equipment, high energy consumption, poor flexibility, and high operation and maintenance costs. The equipment can only be operated manually by operation and maintenance personnel based on experience. Specifically, the old refrigeration system usually uses the building automation system (BA system) to manually remotely control the parameters of each intelligent device in the refrigeration system. This refrigeration equipment parameter adjustment method, on the one hand, when adjusting the equipment parameters based on manual experience, does not involve the logic of automatic frequency increase and decrease, increase and decrease of the number of openings of the refrigeration equipment, which may lead to insufficient terminal flow, insufficient cooling capacity, excessive or too small pressure difference and temperature difference, thereby increasing energy consumption. On the other hand, the working mode of the refrigeration system does not have accurate switching boundary conditions, and it depends entirely on the experience conversion of the operation and maintenance personnel, and it is impossible to make full use of the natural cold source, which will also lead to an increase in energy consumption. On the third hand, the multi-dimensional parameters such as the number of units opened, the frequency of operation, and the mode of operation between the various devices in the refrigeration system do not comprehensively consider energy consumption, and there is also a certain space for energy saving. The technical solution provided by the embodiment of the present invention aims to automatically adjust the parameters of each refrigeration device in an old refrigeration system, so that the old refrigeration system can achieve its refrigeration effect efficiently, intelligently and with low energy consumption.

[0061] Figure 1 A flow chart of a device parameter adjustment method provided in an embodiment of the present invention. This embodiment is applicable to situations where automatic parameter adjustment is required for each refrigeration device in an old refrigeration system. The method can be executed by a device parameter adjustment device, which can be implemented in the form of software and / or hardware. The hardware can be an electronic device, and the electronic device can be a mobile terminal, a PC or a server, etc.

[0062] A device parameter adjustment method provided in an embodiment of the present invention is applied to a refrigeration system, wherein the refrigeration system includes at least one refrigeration device. The refrigeration device included in the refrigeration system includes a chiller, a cooling water pump, a freezing water pump, a cooling tower, and a plate heat exchanger (referred to as a plate heat exchanger).

[0063] Among them, the chiller is the core equipment of the refrigeration system, which is responsible for transferring heat from the low-temperature area to the high-temperature area through the refrigeration cycle to achieve the purpose of cooling or freezing. The operating principle of the chiller is based on the principle of compression refrigeration. The compressor compresses the low-temperature and low-pressure refrigerant gas into a high-temperature and high-pressure gas, then dissipates heat and cools it into a liquid through the condenser, and then reduces the pressure through the expansion valve, and finally evaporates and absorbs heat in the evaporator to achieve the refrigeration effect. The cooling water pump is used to circulate cooling water to help transfer the heat generated by the chiller to the cooling tower or other heat dissipation equipment to maintain the normal operating temperature of the chiller. Chilled water pump: including the primary chilled pump and the secondary chilled pump, which are used to circulate water in the chilled water system to help regulate and control the temperature in the building. The chilled water system usually includes a primary pump and a secondary pump, in which the primary pump is responsible for the water circulation of the entire system, while the secondary pump is used to more finely adjust the flow and temperature control of the terminal equipment. The cooling tower is used to dissipate heat from the cooling water to keep the temperature of the system stable. The plate heat exchanger is used to provide cooling in the natural cooling mode, and the heat exchange is achieved through the plate heat exchanger. The coordinated work of the above refrigeration equipment ensures the effective operation of the refrigeration system and meets the needs of different environments and applications. For example, cooling the servers in the computer room to keep them in a suitable ambient temperature can be achieved through the combined action of the above equipment.

[0064] like Figure 1 As shown, the device parameter adjustment method includes:

[0065] S110: Acquire parameters to be processed that are compatible with the current operation mode of the refrigeration system.

[0066] In this embodiment, the operation mode of the refrigeration system may include a cooling mode, a pre-cooling mode, and a natural cooling mode. Cooling mode: This is a method of forced cooling through mechanical equipment, which usually involves the use of refrigerants or other cooling media, which are circulated through equipment such as compressors to achieve the purpose of rapid cooling. This mode is often used in situations where the temperature needs to be quickly reduced, such as data centers, laboratories, etc., to ensure the stable operation and security of equipment and data. Pre-cooling mode: The pre-cooling mode usually refers to the pre-cooling process performed before a specific environment or system reaches the set conditions. It may involve cooling the system or environment in advance to cope with the upcoming high temperature or high load situation. This mode is often used in scenarios where cooling measures need to be prepared in advance to ensure that the system can operate in the best state. Natural cooling mode: Natural cooling is a process that uses physical phenomena in nature (such as heat exchange, convection, thermal radiation, etc.) to reduce the temperature of an object. This mode does not require external energy input and achieves the purpose of cooling through natural heat exchange between the object and the environment. The natural cooling mode is suitable for environments with small temperature changes, and saves energy by achieving a balance with the ambient temperature. In summary, the cooling mode and pre-cooling mode mainly rely on mechanical equipment for forced cooling, while the natural cooling mode relies more on physical phenomena in nature for cooling. The three modes each have their own characteristics and application scenarios.

[0067] The current operation mode is the operation mode of the refrigeration system at the current moment. The parameters to be processed are environmental data related to the external environment of the refrigeration system and / or refrigeration equipment parameters related to at least one refrigeration equipment in the current operation mode. These parameters to be processed can be used to determine whether the current operation model needs to be converted.

[0068] Specifically, for the refrigeration system, different operation modes correspond to different parameters to be processed. In actual application, the parameters to be processed that are compatible with the current operation mode can be obtained.

[0069] Exemplarily, when the refrigeration system is in the cooling mode, the parameters to be processed may include the outdoor temperature, the cooling water inlet temperature corresponding to the cooling machine, and the chilled water temperature; when the refrigeration system is in the pre-cooling mode, the parameters to be processed may include the supply water temperature, return water temperature, and chilled water outlet temperature corresponding to the plate changer; when the refrigeration system is in the pre-cooling mode, the parameters to be processed may include the outdoor temperature and the chilled water temperature. For example, if the current operating mode of the refrigeration system is the cooling mode, the acquired parameters to be processed include: the outdoor temperature T1, the cooling water inlet temperature T2 corresponding to the cooling machine, and the chilled water temperature T3.

[0070] S120. When the parameters to be processed meet a mode conversion condition that is compatible with the current operation mode, the current operation mode of the refrigeration system is switched to a target operation mode, so as to determine the refrigeration equipment to be involved in the operation according to the target operation mode.

[0071] The mode switching condition is a predefined rule used to characterize the situation in which the current operation mode needs to be adjusted. The target operation mode is the operation mode to which the refrigeration system is to be switched.

[0072] In this embodiment, for the refrigeration system, the switching logic between different operating modes includes: switching from the cooling machine mode to the pre-cooling mode; switching from the pre-cooling mode to the cooling machine mode or the natural cooling mode; switching from the natural cooling mode to the pre-cooling mode. Regardless of the operating mode, the cooling water pump, the freezing water pump and the cooling tower are all involved in the work; however, in the cooling machine mode, the refrigeration equipment involved in the work also includes the cooling machine; in the pre-cooling mode, the refrigeration equipment involved in the work also includes the cooling machine and the plate heat exchanger; in the natural cooling mode, the refrigeration equipment involved in the work also includes the plate heat exchanger. The mode conversion condition corresponding to the cooling machine mode is the first mode conversion condition, the mode conversion condition corresponding to the pre-cooling mode includes the second mode conversion condition for converting to the cooling machine mode and the third mode conversion condition for converting to the natural cooling mode, and the mode conversion condition corresponding to the natural cooling mode is the fourth mode conversion condition.

[0073] Exemplarily, when the current operating mode is the cooling mode, it can be determined whether the parameters to be processed meet the first mode conversion condition; if so, the current operating mode of the refrigeration system is switched to the pre-cooling mode; if not, the mode switching operation is not performed. When the current operating mode is the pre-cooling mode, it can be determined whether the parameters to be processed meet the second mode conversion condition, or the second mode conversion condition; if the second mode conversion condition is met, the current operating mode of the refrigeration system is switched to the cooling mode; if the third mode conversion condition is met, the current operating mode of the refrigeration system is switched to the natural cooling mode; if neither the second mode conversion condition nor the third mode conversion condition is met, the mode switching operation is not performed. When the current operating mode is the natural cooling mode, it can be determined whether the parameters to be processed meet the fourth mode conversion condition; if so, the current operating mode of the refrigeration system is switched to the pre-cooling mode; if not, the mode switching operation is not performed. Further, since the various operating modes require which refrigeration equipment to work is predetermined, it can be determined which refrigeration equipment will be involved in the work according to the operating mode to which the target operating mode belongs.

[0074] S130: Adjust first operating parameters of the refrigeration equipment based on the constraint conditions corresponding to the refrigeration equipment in the target operating mode.

[0075] The first operating parameter is parameter information based on which the refrigeration equipment works. The first operating parameter includes but is not limited to the operating frequency of the refrigeration equipment. Constraints refer to restrictions imposed on at least one refrigeration equipment in the target operating mode of the refrigeration system. These restrictions usually appear in the form of inequalities or equations to ensure that the refrigeration system is always in a relatively good working state.

[0076] Specifically, the refrigeration equipment includes cooling equipment and freezing equipment. The cooling equipment includes a cooling tower and a cooling water pump, and the freezing equipment includes a freezing water pump. For different operation modes, cooling equipment constraints can be pre-defined for the corresponding cooling equipment, and freezing equipment constraints can be pre-defined for the corresponding freezing equipment. In specific applications, the cooling equipment constraints and freezing equipment constraints corresponding to the target operation mode are determined according to the operation mode to which the target operation mode belongs. Thus, the operation parameters of the cooling equipment involved in the operation can be adjusted according to the preset cooling equipment parameter adjustment strategy and cooling equipment constraints; and the operation parameters of the freezing equipment involved in the operation can be adjusted according to the cooling equipment parameter adjustment strategy and freezing equipment constraints, so that the refrigeration system can be in the target operation mode.

[0077] Exemplarily, in the natural cooling mode, the cooling equipment constraint conditions include: the vibration frequency of the cooling water pump and the cooling tower fan is within the first frequency range; the freezing equipment constraint conditions include: the motor operating frequency of the freezing water pump is within the first frequency range. In the cold machine mode and pre-cooling mode, the cooling equipment constraint conditions include: the operating frequency of the cooling tower fan is within the first frequency range, and the motor operating frequency of the cooling water pump is within the second frequency range; the freezing equipment constraint conditions include: the motor operating frequency of the freezing water pump is within the second frequency range.

[0078] Next, taking the target operation mode as the natural cooling mode as an example, it is explained how to adjust the first operation parameter of the refrigeration equipment based on the constraint conditions of the refrigeration equipment. For the cooling tower, in the natural cooling mode, the cooling tower parameter adjustment strategy can be: according to the current plate changer chilled water outlet temperature, the cooling tower fan vibration frequency is adjusted by the first preset control algorithm (for example, the preset control algorithm can be a proportional-integral-derivative algorithm (PID). If the current plate changer chilled water outlet temperature is greater than the preset temperature threshold, the cooling tower fan vibration frequency is increased by the PID algorithm; if the current plate changer chilled water outlet temperature is less than the preset temperature threshold, the cooling tower fan vibration frequency is reduced by the PID algorithm; if the current plate changer chilled water outlet temperature is equal to the preset temperature threshold, there is no need to adjust the cooling tower fan vibration frequency). In particular, when adjusting the cooling tower fan vibration frequency, it is necessary to ensure that the cooling tower fan vibration frequency is within the first frequency range. For the cooling water pump, in the natural cooling mode, the cooling water pump parameter adjustment strategy may be: according to the temperature difference information, the operating frequency of the cooling water pump is adjusted by the second preset control algorithm. However, when adjusting the operating frequency, it is necessary to ensure that the operating frequency of the cooling water pump is within the first frequency range. For the freezing water pump, in the natural freezing mode, the freezing water pump parameter adjustment strategy may be: according to the temperature difference information or the pressure difference information, the operating frequency of the freezing water pump is adjusted by the third preset control algorithm. However, when adjusting the operating frequency, it is necessary to ensure that the operating frequency of the freezing water pump is within the first frequency range. Similarly, if the target operating mode is the chiller mode or the pre-cooling mode, then based on the constraints of the refrigeration equipment, the specific implementation method of adjusting the first operating parameter of the refrigeration equipment can refer to the above example and will not be repeated here.

[0079] S140: Determine target operating parameters of the refrigeration system according to the adjusted first operating parameters and the target optimization model corresponding to each refrigeration device.

[0080] The target operating parameters are the operating parameters finally determined after adjusting the operating parameters of the refrigeration system. The target operating parameters may include the number of activated refrigeration equipment in the refrigeration system and the corresponding operating frequency of the activated refrigeration equipment.

[0081] In this embodiment, the target optimization model of each refrigeration device is a data model fitted based on historical operation data. The target optimization model is used to determine the operating parameters of a specific dimension based on the available operating parameters of a certain refrigeration device. In this embodiment, Table 1 is a summary table of the target optimization models of each refrigeration device included in the refrigeration system. Here, the specific meaning of the target optimization function corresponding to the refrigeration machine can be explained by taking the refrigeration machine as an example. As shown in Table 1, the refrigeration machine corresponds to two target optimization models, namely: a first refrigeration machine optimization model for characterizing the relationship between the refrigeration machine power and the chilled water inlet temperature, the chilled water outlet temperature, the cooling water inlet temperature, the cooling water outlet temperature, and the chilled water flow rate, and a second refrigeration machine optimization model for characterizing the relationship between the refrigeration machine power and the chilled water inlet temperature, the chilled water outlet temperature, the cooling water inlet temperature, the cooling water outlet temperature, and the average frequency of opening the refrigeration pump. For the first refrigeration machine optimization model, "chilled water inlet temperature, chilled water outlet temperature, cooling water inlet temperature, cooling water outlet temperature, chilled water flow rate" are the input quantities of the model, and the refrigeration machine power is the output quantity of the model. Similarly, for other objective optimization models, the parameters on the right side of “and” are the model inputs, and the parameters on the left side of “and” are the model outputs.

[0082] It should be noted that a certain refrigeration equipment can correspond to one or more target optimization models. The reason is that different target optimization models correspond to different input parameters and output parameters. In practical applications, a target optimization model that is compatible with current needs can be selected from multiple target optimization models based on the output parameters actually required or the input parameters that can be obtained.

[0083] Table 1 Target optimization model of each refrigeration equipment included in the refrigeration system

[0084]

[0085]

[0086]

[0087] Specifically, after the refrigeration system works for a preset period of time according to the adjusted first operating parameter, the actual operating parameters of the refrigeration system in the current state can be obtained, and these actual operating parameters may include at least part of the model input quantities in Table 1 above. A strategy generation model can be pre-configured, and the strategy generation model is used to generate tens of thousands of operating condition strategies according to the current cooling capacity / flow / temperature requirements. Each operating condition strategy includes the number of refrigeration equipment turned on that meets the above requirements and the corresponding operating frequency of the turned-on refrigeration equipment. Thus, the power consumption of each operating condition strategy is evaluated through the target optimization model corresponding to each refrigeration equipment, so that the operating condition strategy with the lowest power consumption is determined as the target operating condition strategy, and the number of refrigeration equipment turned on and the corresponding operating frequency of the turned-on refrigeration equipment corresponding to the target operating condition strategy are the target operating parameters.

[0088] Exemplarily, operating condition strategy A can be expressed as: start a cooling water pump, the operating frequency of which is 40Hz; operating condition strategy B can be expressed as: start two cooling water pumps, each of which has an operating frequency of 25Hz. According to the target optimization model corresponding to the cooling water pump (the relationship between the power and frequency of the cooling water pump), for operating condition strategy A, 40Hz can be input into the target optimization model to obtain the first power consumption evaluation value x; for operating condition strategy B, 25Hz can be input into the target optimization model to obtain the second power consumption sub-evaluation value y. Further, the power consumption evaluation values ​​of the two strategies are compared. If x is less than 2y, operating condition strategy A is determined as the target operating condition strategy, and the target operating parameters of the refrigeration system are: start a cooling water pump, and the operating frequency of the cooling water pump is 40Hz. If x is greater than 2y, operating condition strategy B is determined as the target operating condition strategy, and the target operating parameters of the refrigeration system are: start two cooling water pumps, and the operating frequency of each cooling water pump is 25Hz. It should be noted that this example only uses a cooling water pump as an example of refrigeration equipment. However, in specific applications, the operating condition strategy includes the number of refrigeration equipment turned on and the combination of the operating frequency of the turned-on equipment. Based on this, a large number of operating condition strategies can be generated, and the power consumption evaluation value of each strategy can be determined one by one through the above method, and then the final target operating parameters can be determined according to each power consumption evaluation value.

[0089] It should be noted that the acquisition, storage, use, and processing of data in the technical solution of the present invention are in compliance with the relevant provisions of national laws and regulations. For example, network requests are intercepted and processed with the authorization of the user.

[0090] The technical solution of the embodiment of the present invention is applied to a refrigeration system including at least one refrigeration device. The method obtains the parameters to be processed that are compatible with the current operation mode of the refrigeration system. Then, when the parameters to be processed meet the mode conversion conditions that are compatible with the current operation mode, the current operation mode of the refrigeration system is switched to the target operation mode, so as to determine the refrigeration devices involved in the work according to the target operation mode. The natural cold source can be fully utilized through the mode conversion conditions to realize the automatic switching of different working models of the refrigeration system, thereby saving the energy consumption of the refrigeration system and improving the energy saving of the refrigeration system. Based on the constraints corresponding to the refrigeration devices in the target operation mode, the first operation parameters of the refrigeration devices are adjusted, wherein the first operation parameters at least include the operation frequency of the refrigeration devices. Finally, the target operation parameters of the refrigeration system are determined according to the adjusted first operation parameters and the target optimization model corresponding to each refrigeration device. By fine-grained parameter adjustment of various refrigeration devices in different modes, the parameters of each refrigeration device are optimized according to the target optimization model through the energy consumption optimization target, which not only improves the equipment parameter adjustment efficiency of the refrigeration system, but also further improves the energy saving of the refrigeration system.

[0091] Figure 2 This is another device parameter adjustment method provided by an embodiment of the present invention. Based on the above embodiment, steps S110-S130 are described in detail. The specific implementation method can refer to the technical solution of this embodiment. The technical terms that are the same or corresponding to the above embodiment are not repeated here.

[0092] like Figure 2 As shown, the method specifically comprises the following steps:

[0093] S210, obtaining current operating parameters of all refrigeration equipment in the refrigeration system; and determining a current operating mode of the refrigeration system according to the current operating parameters.

[0094] The current operating parameters are the equipment operating data of the refrigeration equipment at a certain time.

[0095] Specifically, since different operating modes require different refrigeration equipment to work, the current operating parameters of all refrigeration equipment in the refrigeration system can be used to know which refrigeration equipment is in working state at the current moment, so as to infer the current operating mode of the refrigeration system. In this way, the current operating mode of the refrigeration system can be determined quickly and efficiently.

[0096] More specifically, the current operating mode includes a chiller mode, a pre-cooling mode, or a natural cooling mode. If, based on the current operating parameters of each refrigeration device, it is determined that the cooling water pump, the chilled water pump, the cooling tower, and the chiller are in working condition, then the current operating mode is the chiller mode; if, based on the current operating parameters of each refrigeration device, it is determined that the cooling water pump, the chilled water pump, the cooling tower, the chiller, and the plate exchanger are in working condition, then the current operating mode is the pre-cooling mode; if, based on the current operating parameters of each refrigeration device, it is determined that the cooling water pump, the chilled water pump, the cooling tower, and the plate exchanger are in working condition, then the current operating mode is the natural cooling mode.

[0097] S220: When the parameters to be processed meet the mode conversion condition adapted to the current operation mode, the current operation mode of the refrigeration system is switched to the target operation mode, so as to determine the refrigeration equipment involved in the operation according to the target operation mode.

[0098] On the basis of the above embodiments, the mode conversion conditions corresponding to the cooling mode include: the outdoor wet-bulb temperature is less than the first preset temperature, and the difference between the cooling water inlet temperature and the chilled water temperature is less than the second preset temperature; the mode conversion conditions corresponding to the pre-cooling mode include the first mode conversion condition and the second mode conversion condition, the first mode conversion condition includes: the plate exchanger supply and return water temperature difference is less than the second preset temperature for a duration greater than the first preset duration; the second mode conversion condition includes the plate exchanger chilled water outlet temperature is less than the third preset temperature for a duration greater than the second preset duration; the mode conversion conditions corresponding to the natural cooling mode include: the outdoor wet-bulb temperature is greater than the fourth preset temperature, and the chilled water outlet temperature is greater than the fifth preset temperature.

[0099] Among them, the outdoor wet-bulb temperature refers to the temperature at which the surface temperature of the gauze reaches saturation when the air flows through the wet gauze (humidity reaches saturation) under a certain air pressure in the outdoor environment. This concept reflects the humidity of the air. The higher the wet-bulb temperature, the higher the water vapor content in the air, and vice versa. The wet-bulb temperature is a means of calibrating the relative humidity of the air. The wet temperature package of the wet-bulb thermometer contacts the air, and adiabatic heat and moisture exchange occurs, so that the temperature reaches the saturated state. The surface of the gauze on the wet-bulb thermometer absorbs a layer of water. When the air layer close to the gauze is unsaturated, the vapor partial pressure of the liquid at the gas-liquid interface is higher than the vapor partial pressure in the gas. The water layer in the wet cloth must evaporate into the air, and the heat required for evaporation is obtained from the water, so the water temperature gradually decreases. Once the temperature of the water layer drops below the temperature of the air layer, due to the temperature difference, the heat of the air layer will be transferred to the water layer on the gauze through contact conduction. When the evaporative heat dissipation is greater than the contact heat transfer, the water temperature continues to decrease. When it decreases to a certain value, the evaporative heat dissipation of the water is equal to the conductive heat dissipation transferred back to the water by the air layer, that is, when it is in dynamic equilibrium, the water temperature on the gauze will no longer decrease and stabilize at a certain temperature. At this time, the temperature displayed on the wet-bulb thermometer is the wet-bulb temperature. In this embodiment, the outdoor wet-bulb temperature can be obtained by an actual thermometer.

[0100] Among them, the cooling water inlet temperature refers to the temperature of the cooling water entering the chiller; the chilled water temperature refers to the water temperature in the freezer; the plate heat exchanger supply and return water temperature difference refers to the difference between the chilled water temperature entering the plate heat exchanger and the chilled water temperature flowing out of the plate heat exchanger; the plate heat exchanger chilled water outlet temperature refers to the chilled water temperature flowing out of the plate heat exchanger; the chilled water outlet temperature refers to the temperature of the chilled water flowing out of the freezer.

[0101] More specifically, the target operating mode that is compatible with the current operating mode includes any one of the following: when the current operating mode is the cooling mode, the target operating mode is the pre-cooling mode; when the current operating mode is the pre-cooling mode, the target operating mode is the cooling mode that satisfies the first mode conversion condition, or the natural cooling mode that satisfies the second mode conversion condition; when the current operating mode is the natural cooling mode, the target operating mode is the pre-cooling mode.

[0102] Next, a specific example is used to illustrate how to switch the current operation mode of the refrigeration system to the target operation mode based on the mode switching condition corresponding to the chiller mode. Figure 3 ,like Figure 3As shown, first, the current operating mode is determined according to the current operating parameters of all refrigeration equipment; if the current operating mode is the cooling mode, then under the mode conversion conditions that the outdoor wet-bulb temperature is less than the first preset temperature (for example, 19°C), and the difference between the cooling water inlet temperature and the freezing water temperature is less than the second preset temperature (for example, 1°C), the current operating mode of the refrigeration system is switched to the pre-cooling mode; if the current operating mode is the pre-cooling mode, there are two different situations. The first situation is that when the plate exchange supply and return water temperature difference is less than the second preset temperature (for example, 1°C) for a duration greater than the first preset duration (for example, 10 minutes), the first situation is that when the plate exchange supply and return water temperature difference is less than the second preset temperature (for example, 1°C) for a duration greater than the first preset duration (for example, 10 minutes), the second ... Under the mode conversion condition, the current operation mode of the refrigeration system is switched to the cooling mode. The second situation is that under the second mode conversion condition that the outlet temperature of the plate exchanger chilled water is less than the third preset temperature (for example, 18°C) for a duration greater than the second preset duration (for example, 30 minutes), the current operation mode of the refrigeration system is switched to the natural cooling mode; if the current operation mode is the natural cooling mode, the current operation mode of the refrigeration system is switched to the pre-cooling mode under the mode conversion condition that the outdoor wet bulb temperature is greater than the fourth preset temperature (for example, 15°C) and the outlet temperature of the chilled water is greater than the fifth preset temperature (for example, 16°C). Further, the specific implementation method of switching from the current operation mode to the target operation mode can be: displaying a mode switching prompt on the client corresponding to the refrigeration system, so that when the user triggers the pre-configured mode switching control, the current operation mode of the refrigeration system is switched to the target operation mode. In addition, it can also be that when the mode conversion condition compatible with the current operation mode is met, the current operation mode of the refrigeration system is automatically switched to the target operation mode.

[0103] In this embodiment, by pre-setting mode switching conditions corresponding to various current operating modes and target operating modes adapted to each current operating mode, automatic and orderly switching between different operating modes is achieved during the operation of the refrigeration system, and the mode switching control can be triggered timely and accurately according to the mode switching conditions, thereby improving the control efficiency and accuracy of the refrigeration system.

[0104] S230: For each refrigeration device, adjust the current operating frequency of the refrigeration device according to the constraint condition of the refrigeration device in the target operation mode.

[0105] The current operating frequency refers to the vibration frequency or rotation speed of the compressor and / or other working parts in the refrigeration equipment at the current moment.

[0106] Specifically, the compressor or other working parts in the refrigeration equipment, as the power source, play a key role in the refrigeration equipment. These parts drive the circulation of the refrigeration system by providing power, ensuring the correct flow of refrigerant in the system, thereby achieving the cooling effect. Therefore, the parameter adjustment control of the refrigeration equipment can be achieved by adjusting the current operating frequency of the compressor and / or other working parts in the refrigeration equipment.

[0107] Based on the above examples, the constraints may include cooling equipment constraints corresponding to the cooling water system and freezing equipment constraints corresponding to the freezing water system. More specifically, for different target operation modes, the constraints may include the following:

[0108] First, when the target operation mode is the natural cooling mode, the constraints include the first constraint of the cooling equipment and the first constraint of the freezing equipment. The first constraint of the cooling equipment includes: the vibration frequency of the cooling water pump and the cooling tower fan in the cooling equipment is within the first frequency range; the first constraint of the freezing equipment includes: the motor operating frequency of the freezing water pump in the freezing equipment is within the first frequency range.

[0109] Second, when the target operation mode is the cooling mode or the pre-cooling mode, the constraint conditions include the second constraint condition of the cooling equipment and the second constraint condition of the freezing equipment. The second constraint condition of the cooling equipment includes that the operating frequency of the cooling tower fan in the cooling equipment is within the first frequency range, and the operating frequency of the motor of the cooling water pump in the cooling equipment is within the second frequency range; the second constraint condition of the freezing equipment includes that the operating frequency of the motor of the freezing water pump in the freezing equipment is within the second frequency range.

[0110] In this embodiment, by setting operating frequency constraints under various working modes, it can be ensured that the operating frequency of the refrigeration system is always within a certain range during the parameter adjustment process, and the stability of the refrigeration system is guaranteed while the operating parameters of the refrigeration system are automatically adjusted.

[0111] Next, a specific example is used to illustrate how to adjust the current operating frequency of the refrigeration equipment according to the constraints of the refrigeration equipment in the target operation mode. Figure 4 .like Figure 4 As shown, the cooling water system includes a cooling tower fan and a cooling water pump, and the chilled water system includes a chilled water pump.

[0112] When the target operation mode is the natural cooling mode, the first constraint of the cooling equipment is that the vibration frequencies of the cooling water pump and the cooling tower fan are both within the first frequency range (for example, the first frequency range is 20-45Hz), and the first constraint of the refrigeration equipment is that the motor operating frequency of the refrigeration water pump is within the first frequency range. Next, the adjustment methods of the current operating frequencies of the cooling tower fan, cooling water pump, and refrigeration water pump are described respectively. For the cooling tower fan, the vibration frequency of the cooling tower fan is adjusted by the PID algorithm according to the current plate exchanger chilled water outlet temperature, such as Figure 4 As shown, if the current plate-change chilled water outlet temperature is greater than the preset temperature threshold (for example, 13°C), the cooling tower fan vibration frequency is increased through the PID algorithm; if the current plate-change chilled water outlet temperature is less than the preset temperature threshold (for example, 13°C), the cooling tower fan vibration frequency is decreased through the PID algorithm; if the current plate-change chilled water outlet temperature is equal to the preset temperature threshold, there is no need to adjust the cooling tower fan vibration frequency, and when adjusting the cooling tower fan vibration frequency, it is necessary to ensure that the cooling tower fan vibration frequency is always within the first frequency range (20-45Hz). For the cooling water pump, according to the temperature difference information (for example, the difference between the cooling water temperature entering the cooling water pump and the cooling water temperature flowing out of the cooling water pump), the cooling water pump operating frequency is adjusted through the PID algorithm, and when adjusting the cooling water pump operating frequency, it is necessary to ensure that the cooling water pump operating frequency is always within the first frequency range (20-45Hz). For the chilled water pump, the operating frequency of the chilled water pump is adjusted through the PID algorithm according to the temperature difference information (for example, the difference between the temperature of the chilled water entering the chilled water pump and the temperature of the chilled water flowing out of the chilled water pump) or the pressure difference information (for example, the difference between the discharge pressure and the suction pressure of the chilled water pump, and this pressure difference represents the increase in energy obtained after the liquid is delivered through the pump). When adjusting the operating frequency of the chilled water pump, it is necessary to ensure that the operating frequency of the chilled water pump is always within the first frequency range (20-45Hz).

[0113] When the target operation mode is the cooling mode or the pre-cooling mode, the second constraint of the cooling equipment is that the operating frequency of the cooling tower fan is within the first frequency range, the operating frequency of the cooling water pump motor is within the second frequency range (for example, the second frequency range is 30-45Hz), and the second constraint of the freezing equipment is that the operating frequency of the freezing water pump motor is within the second frequency range (30-45Hz). For the cooling tower fan, according to the wet bulb approximation (the wet bulb approximation refers to the difference between the water temperature after cooling by the cooling tower and the outdoor wet bulb temperature), the vibration frequency of the cooling tower fan is adjusted by the PID algorithm, and when adjusting the vibration frequency of the cooling tower fan, it is necessary to ensure that the vibration frequency of the cooling tower fan is always within the first frequency range (20-45Hz). For the cooling water pump, according to the temperature difference information, the operating frequency of the cooling water pump is adjusted by the PID algorithm, and it is necessary to ensure that the operating frequency of the cooling water pump is always within the second frequency range (30-45Hz). For the chilled water pump, the operating frequency of the chilled water pump is adjusted by a PID algorithm according to the temperature difference information or the pressure difference information, and it is necessary to ensure that the operating frequency of the chilled water pump is always within the second frequency range (30-45 Hz).

[0114] S240. When the refrigeration device operates for a preset time period according to the adjusted operating frequency, obtain a first operating parameter of the refrigeration device.

[0115] The preset duration is a pre-set time length.

[0116] On the basis of the above examples, see Figure 4 ,like Figure 4 As shown, after the parameters of each refrigeration device are adjusted, when the refrigeration device works for a preset period of time (for example, 5 minutes) according to the adjusted working frequency, the first operating parameters of each refrigeration device at the current moment can be obtained to determine whether it is necessary to adjust the device working quantity and operating parameters of the refrigeration device based on these first operating parameters.

[0117] In this embodiment, after the refrigeration system switches to the target operating mode, the current operating frequency of the refrigeration equipment is further adjusted in a more fine-grained manner according to the constraints of each refrigeration equipment in the target operating mode, thereby further improving the accuracy of the parameter adjustment of the refrigeration equipment.

[0118] S250: Determine the equipment working quantity of each refrigeration equipment and the updated first operating parameter according to the adjusted first operating parameter and the input and output parameters in the target optimization model of each refrigeration equipment.

[0119] Among them, the target optimization model of each refrigeration equipment is a data model fitted based on historical operating data. Specifically, based on the actual operating data and environmental data of the refrigeration system, a high-precision target optimization model corresponding to each refrigeration equipment can be constructed through data quality management. Exemplarily, the process of determining the target optimization model of each refrigeration equipment can be: first, an initial optimization model can be established for each refrigeration equipment in the refrigeration system through intelligent tools (these models are all mathematical models); then, the historical operating data of each refrigeration equipment in the data center is used to continuously correct the parameters of the initial optimization model to improve the model accuracy of the initial optimization model; further, combined with the actual operating data of the refrigeration equipment at the moment, the optimized initial optimization model is used for measurement, and the error calculation is performed between the calculation result and the actual equipment power. When the error result meets the preset conditions, the target optimization model of each refrigeration equipment in the refrigeration system is obtained respectively. Figure 5 The schematic diagram of the simulated relationship between the cooling tower fan power and frequency is shown in Figure 2. Figure 5 It can be seen that the target optimization model fitting curve (i.e. Figure 5 The gray curve in the figure) is compared with the actual operation data (i.e. Figure 5 The fit degree of the model (black discrete points in the figure) exceeds 98%, which can ensure the accuracy of the model.

[0120] In this embodiment, examples of input and output parameters corresponding to the target optimization model of each refrigeration device can be seen in Table 1, and the adjusted first operating parameters can include at least part of the model inputs in Table 1. For each refrigeration device, a model can be generated by pre-configuring a strategy, and multiple operating condition strategies can be generated according to the current cooling demand, the current flow demand, the current temperature demand, and at least one of the first operating parameters of each refrigeration device, wherein each operating condition strategy includes the number of refrigeration devices turned on and / or the operating parameters corresponding to the turned-on refrigeration devices. Further, each operating condition strategy of a refrigeration device determines the target optimization model to be used from at least one target optimization model corresponding to the refrigeration device according to the currently available input parameters, so that the model output corresponding to the target optimization model to be used is obtained according to the input parameters and the target optimization model to be used, so that the power consumption attribute corresponding to each operating condition strategy is calculated according to the model output; finally, the operating condition strategy with the lowest power consumption attribute can be determined as the target operating condition strategy, the number of refrigeration devices turned on corresponding to the target operating condition strategy is the number of devices working, and the operating parameters corresponding to the turned-on refrigeration devices corresponding to the target operating condition strategy are the updated first operating parameters. The purpose of this setting is to reduce the power consumption of the refrigeration system and improve resource utilization.

[0121] Exemplarily, the specific implementation process of this step can be called intelligent reasoning optimization. Intelligent reasoning optimization will deduce and calculate the operating condition parameters of all refrigeration equipment that meet the cooling capacity in turn according to the current actual needs, so as to obtain tens of thousands of strategies for the operating conditions of the refrigeration system, and calculate the power of the refrigeration system of each strategy. Among them, the strategy with the minimum power value is the optimal operating plan obtained by intelligent calculation, and then the plan can be displayed and recommended. More specifically, the specific content of intelligent reasoning optimization can include the following three parts:

[0122] First, the relationship between the frequency and number of chilled water pumps, as well as the relationship between the frequency and number of cooling water pumps, is calculated in real time through intelligent reasoning and optimization. Under the condition of meeting the system flow requirements, the optimal number and frequency of cooling water pumps, as well as the optimal number and power of chilled water pumps are found. Thus, the cooling water pump and / or chilled water pump are prompted to be added or subtracted, thereby achieving the purpose of energy saving. The schematic diagram of the intelligent optimization process of the water pump is shown in 6. Figure 6 As shown, on the basis of establishing a water pump model (i.e., the general term for the target optimization models corresponding to cooling water pumps and chilled water pumps), the accuracy of the model is continuously optimized through historical operating data, and under the condition of ensuring a certain flow rate for the operation of the on-site system, the mechanism trial calculation is continuously carried out according to the real-time operating data to find the optimal operation plan, and then the safety boundary is verified (i.e., determining whether the operating parameters in the optimal operation plan exceed the set range). Finally, the optimal number and frequency of cooling water pumps and the optimal number and frequency of chilled water pumps are output.

[0123] Second, the relationship between the operating frequency and number of cooling tower fans is calculated in real time through intelligent reasoning and optimization. Under the condition of meeting the system's tower temperature or chilled water outlet temperature requirements, the number of cooling tower fans in operation and the optimal operating power are found, and the cooling tower fans are prompted to be added or subtracted, thereby achieving the purpose of energy saving. The schematic diagram of the intelligent optimization process of cooling tower fans is shown in 7. Figure 7 As shown, on the basis of establishing a cooling tower fan model (i.e., the general term for the target optimization model corresponding to the cooling tower), the accuracy of the model is continuously optimized through historical operation data. Under the condition of ensuring a certain lower tower temperature or chilled water outlet temperature requirement for the operation of the on-site system, the mechanism trial calculation is continuously carried out according to real-time operation data to find the optimal operation plan, and then the safety boundary is verified, and finally the optimal number and frequency of cooling tower fans to be turned on are output.

[0124] Third, the optimal relationship between the percentage of the chiller / plate exchanger current or the ratio of the unit's cooling capacity and the system power is calculated in real time through intelligent reasoning and optimization. Under the condition of meeting the cooling capacity demand, the number of chillers / plate exchangers in operation is found, and the chillers / plate exchangers are prompted to be added or subtracted, thereby achieving the purpose of energy saving. The schematic diagram of the chiller / plate exchanger intelligent optimization process is shown in Figure 8. Figure 8 As shown, on the basis of establishing a chiller / plate exchanger model (i.e., a general term for target optimization models corresponding to chillers or plate exchangers), the accuracy of the model is continuously optimized through historical operating data, and under the condition of ensuring a certain lower tower temperature or chilled water outlet temperature requirement for on-site system operation, based on real-time operating data, mechanism trials are continuously performed to find the optimal operating plan, and finally the optimal number of chillers / plate exchangers to be started is output.

[0125] On the basis of the above embodiments, the on-site refrigeration system operation is further monitored by expert logic, event identification is accurately triggered, and the cold water control logic generates recommended strategies. At the same time, the cold water decision can also be notified to the on-site operation and maintenance personnel in a timely manner through email, SMS, phone, and platform, reminding the on-site personnel to make timely adjustments according to the energy-saving recommendations.

[0126] For example, Fig. 9 is a schematic diagram of the architecture of the refrigeration equipment parameter adjustment method. The equipment parameter adjustment method exemplified in the above formula can be Fig. 9 The refrigeration equipment parameter adjustment method shown is implemented under the architecture. The technical solution provided in this embodiment is mainly applied to some old refrigeration systems. Under the premise of not affecting the operation of the on-site BA control system, the key equipment parameters of the refrigeration system are collected through the north window or other means, and the various power equipment parameters and environmental variables in the machine room where the refrigeration system acts are collected through the dynamic environment system. The data acquisition layer can save various types of data fed back by the refrigeration system and the dynamic environment system. The target optimization model corresponding to each refrigeration equipment is determined through the specific implementation methods of facility simulation and system simulation. The reasoning trial calculation represents the specific implementation of steps S220-S250 in this embodiment, and the expert logic configuration specifically corresponds to the configuration process of the specific implementation logic of S220 and S230. Intelligent reasoning optimization specifically corresponds to the specific implementation method of S250, wherein the reasoning process constraints refer to "mode conversion conditions" and "constraints of refrigeration equipment under various target operating modes." Energy-saving push can be understood as the final determined equipment working quantity of each refrigeration equipment and the updated first operating parameters can be pushed to the BA control system, so that the refrigeration system parameters can be adjusted through the BA control system according to the user's trigger operation on the BA control system or the pre-defined automatic execution logic. Ultimately, the water pump and cooling tower fan can be increased or decreased in frequency in a timely manner, and the refrigeration equipment can be added or subtracted, and the refrigeration system working mode conversion can be made accurately and energy-savingly. Through real-time strategy recommendations, on-site operation and maintenance personnel are reminded to operate to achieve safe and energy-saving operation.

[0127] The technical solution of the embodiment of the present invention can quickly and efficiently determine the current operating mode of the refrigeration system by acquiring the current operating parameters of all refrigeration devices in the refrigeration system, thereby determining the current operating mode of the refrigeration system according to the current operating parameters. Further, when the parameters to be processed meet the mode conversion conditions adapted to the current operating mode, the current operating mode of the refrigeration system is switched to the target operating mode, so as to determine the refrigeration devices involved in the work according to the target operating mode, and then, for each refrigeration device, according to the constraints of the refrigeration device in the target operating mode, the current operating frequency of the refrigeration device is adjusted, and according to the adjusted first operating parameters and the input and output parameters in the target optimization model of each refrigeration device, the number of equipment working for each refrigeration device and the updated first operating parameters are determined. After the refrigeration system is switched to the target operating mode, the current operating frequency of the refrigeration device is further adjusted in a more fine-grained manner according to the constraints of each refrigeration device in the target operating mode, thereby further improving the accuracy of the parameter adjustment of the refrigeration device. Finally, according to the adjusted first operating parameters and the input and output parameters in the target optimization model of each refrigeration device, the number of equipment working for each refrigeration device and the updated first operating parameters are determined, thereby reducing the power consumption of the refrigeration system and improving resource utilization.

[0128] Fig.10 A structural schematic diagram of an equipment parameter adjustment device provided in an embodiment of the present invention is applied to a refrigeration system, the refrigeration system includes at least one refrigeration device, and the device includes: a parameter acquisition module 310, an operation mode switching module 320, an operation parameter adjustment module 330 and a target parameter determination module 340.

[0129] The parameter acquisition module 310 is used to acquire the parameters to be processed that are compatible with the current operation mode of the refrigeration system;

[0130] The operation mode switching module 320 is used to switch the current operation mode of the refrigeration system to a target operation mode when the parameters to be processed meet the mode conversion conditions adapted to the current operation mode, so as to determine the refrigeration equipment involved in the operation according to the target operation mode;

[0131] The operating parameter adjustment module 330 is used to adjust the first operating parameter of the refrigeration device based on the constraint conditions corresponding to the refrigeration devices in the target operating mode; wherein the first operating parameter at least includes the operating frequency of the refrigeration device;

[0132] The target parameter determination module 340 is used to determine the target operating parameters of the refrigeration system according to the adjusted first operating parameters and the target optimization model corresponding to each refrigeration device.

[0133] On the basis of the above device, optionally, the device parameter adjustment device further includes: a current mode determination unit; the current mode determination unit includes:

[0134] A current parameter acquisition unit, used to acquire current operating parameters of all refrigeration equipment in the refrigeration system;

[0135] The current mode determination unit is used to determine the current operation mode of the refrigeration system according to the current operation parameters.

[0136] Based on the above device, optionally, the current operation mode includes a cooling mode, a pre-cooling mode or a natural cooling mode;

[0137] The mode conversion conditions corresponding to the chiller mode include: the outdoor wet-bulb temperature is less than the first preset temperature, and the difference between the cooling water inlet temperature and the freezing water temperature is less than the second preset temperature;

[0138] The mode conversion conditions corresponding to the precooling mode include a first mode conversion condition and a second mode conversion condition. The first mode conversion condition includes: the plate exchanger supply and return water temperature difference is less than the second preset temperature for a duration greater than the first preset time; the second mode conversion condition includes: the plate exchanger chilled water outlet temperature is less than the third preset temperature for a duration greater than the second preset time;

[0139] The mode conversion conditions corresponding to the natural cooling mode include: the outdoor wet-bulb temperature is greater than a fourth preset temperature, and the chilled water outlet temperature is greater than a fifth preset temperature.

[0140] Based on the above device, optionally, the operation mode switching module 320 includes:

[0141] A first target mode determination unit, configured to set the target operation mode to the pre-cooling mode when the current operation mode is the cooling mode;

[0142] A second target mode determination unit, configured to determine, when the current operation mode is the pre-cooling mode, a target operation mode to be a cooling mode that satisfies a first mode conversion condition, or a natural cooling mode that satisfies a second mode conversion condition;

[0143] The third target mode determination unit is configured to set the target operating mode to the pre-cooling mode when the current operating mode is the natural cooling mode.

[0144] Based on the above device, optionally, when the target operation mode is a natural cooling mode, the constraint condition includes a first constraint condition for cooling equipment and a first constraint condition for freezing equipment;

[0145] The first constraint condition of the cooling equipment includes: the vibration frequency of the cooling water pump and the cooling tower fan in the cooling equipment is within the first frequency range;

[0146] The first constraint condition of the refrigeration equipment includes: the operating frequency of the motor of the refrigeration water pump in the refrigeration equipment is within a first frequency range.

[0147] Based on the above device, optionally, when the target operation mode is a cooling machine mode or a pre-cooling mode, the constraint condition includes a cooling equipment second constraint condition and a freezing equipment second constraint condition;

[0148] The second constraint condition of the cooling device includes that the operating frequency of the cooling tower fan in the cooling device is within the first frequency range, and the operating frequency of the motor of the cooling water pump in the cooling device is within the second frequency range;

[0149] The second constraint condition of the refrigeration equipment includes that the operating frequency of the motor of the refrigeration water pump in the refrigeration equipment is within a second frequency range.

[0150] Based on the above device, optionally, the operating parameter adjustment module 330 includes:

[0151] An operating frequency adjustment unit, configured to adjust the current operating frequency of each refrigeration device according to the constraint conditions of the refrigeration device in the target operation mode;

[0152] The operating parameter acquisition unit is used to acquire a first operating parameter of the refrigeration device when the refrigeration device operates for a preset time period according to the adjusted operating frequency.

[0153] Based on the above-mentioned device, optionally, a target parameter determination module 340 is specifically used to determine the equipment working quantity of each refrigeration equipment and the updated first operating parameter according to the adjusted first operating parameter and the input and output parameters in the target optimization model of each refrigeration equipment; wherein the target optimization model of each refrigeration equipment is a data model fitted based on historical operating data.

[0154] The technical solution of the embodiment of the present invention is applied to a refrigeration system including at least one refrigeration device. The method obtains the parameters to be processed that are compatible with the current operation mode of the refrigeration system. Then, when the parameters to be processed meet the mode conversion conditions that are compatible with the current operation mode, the current operation mode of the refrigeration system is switched to the target operation mode, so as to determine the refrigeration devices involved in the work according to the target operation mode. The natural cold source can be fully utilized through the mode conversion conditions to realize the automatic switching of different working models of the refrigeration system, thereby saving the energy consumption of the refrigeration system and improving the energy saving of the refrigeration system. Based on the constraints corresponding to the refrigeration devices in the target operation mode, the first operation parameters of the refrigeration devices are adjusted, wherein the first operation parameters at least include the operation frequency of the refrigeration devices. Finally, the target operation parameters of the refrigeration system are determined according to the adjusted first operation parameters and the target optimization model corresponding to each refrigeration device. By fine-grained parameter adjustment of various refrigeration devices in different modes, the parameters of each refrigeration device are optimized according to the target optimization model through the energy consumption optimization target, which not only improves the equipment parameter adjustment efficiency of the refrigeration system, but also further improves the energy saving of the refrigeration system.

[0155] The device parameter adjustment apparatus provided in the embodiment of the present invention can execute the device parameter adjustment method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0156] It is worth noting that the various units and modules included in the above system are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the embodiments of the present invention.

[0157] Fig.11 The present invention is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Fig.11 A block diagram of an exemplary electronic device 40 suitable for implementing exemplary embodiments of the present invention is shown. Fig.11 The electronic device 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0158] like Fig.11 As shown, the electronic device 40 is in the form of a general computing device. The components of the electronic device 40 may include but are not limited to: one or more processors or processing units 401, a system memory 402, and a bus 403 connecting different system components (including the system memory 402 and the processing unit 401).

[0159] Bus 403 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnect (PCI) bus.

[0160] The electronic device 40 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 40, including volatile and non-volatile media, removable and non-removable media.

[0161] System memory 402 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 404 and / or cache memory 405. Electronic device 40 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 406 may be used to read and write non-removable, non-volatile magnetic media ( Fig.11 not shown, usually called a "hard drive"). Although Fig.11 Not shown in the figure, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 403 via one or more data medium interfaces. Memory 402 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of various embodiments of the present invention.

[0162] A program / utility 408 having a set (at least one) of program modules 407 may be stored, for example, in memory 402, such program modules 407 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. Program modules 407 generally perform the functions and / or methods of the embodiments described herein.

[0163] The electronic device 40 may also communicate with one or more external devices 409 (e.g., keyboards, pointing devices, displays 410, etc.), may communicate with one or more devices that enable a user to interact with the electronic device 40, and / or may communicate with any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). Such communication may be performed via an input / output (I / O) interface 411. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 412. As shown, the network adapter 412 communicates with other modules of the electronic device 40 via the bus 403. It should be understood that although Fig.11 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0164] The processing unit 401 executes various functional applications and page processing by running the programs stored in the system memory 402, for example, implementing the device parameter adjustment method provided in the embodiment of the present invention.

[0165] An embodiment of the present invention further provides a storage medium containing computer executable instructions. When the computer executable instructions are executed by a computer processor, they are used to execute a device parameter adjustment method, which is applied to a refrigeration system, the refrigeration system includes at least one refrigeration device, and the method includes:

[0166] Acquire parameters to be processed that are compatible with the current operation mode of the refrigeration system;

[0167] When the parameters to be processed meet the mode conversion conditions that are compatible with the current operation mode, the current operation mode of the refrigeration system is switched to the target operation mode, so as to determine the refrigeration equipment involved in the operation according to the target operation mode;

[0168] Based on the constraint conditions respectively corresponding to the refrigeration equipment in the target operation mode, adjusting the first operation parameters of the refrigeration equipment; wherein the first operation parameters at least include the operation frequency of the refrigeration equipment;

[0169] The target operating parameters of the refrigeration system are determined according to the adjusted first operating parameters and the target optimization model corresponding to each refrigeration device.

[0170] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0171] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0172] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0173] Computer program code for performing the operation of embodiments of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0174] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for adjusting device parameters, characterized in that: Applied in a refrigeration system, the refrigeration system includes at least one refrigeration device, and the method includes: Acquire parameters to be processed that are compatible with the current operation mode of the refrigeration system; When the parameters to be processed meet the mode conversion condition adapted to the current operation mode, the current operation mode of the refrigeration system is switched to the target operation mode, so as to determine the refrigeration equipment involved in the operation according to the target operation mode; Based on the constraint conditions respectively corresponding to the refrigeration equipment in the target operation mode, adjusting the first operation parameters of the refrigeration equipment; wherein the first operation parameters at least include the operation frequency of the refrigeration equipment; The target operating parameters of the refrigeration system are determined according to the adjusted first operating parameters and the target optimization model corresponding to each refrigeration device.

2. The method according to claim 1, characterized in that Before acquiring the parameters to be processed that are adapted to the current operation mode of the refrigeration system, the method further includes: Obtaining current operating parameters of all refrigeration equipment in the refrigeration system; A current operating mode of the refrigeration system is determined according to the current operating parameters.

3. The method according to claim 1, characterized in that The current operation mode includes a cooling mode, a pre-cooling mode or a natural cooling mode; The mode conversion conditions corresponding to the chiller mode include: the outdoor wet-bulb temperature is less than the first preset temperature, and the difference between the cooling water inlet temperature and the freezing water temperature is less than the second preset temperature; The mode conversion conditions corresponding to the precooling mode include a first mode conversion condition and a second mode conversion condition, wherein the first mode conversion condition includes: the plate exchanger supply and return water temperature difference is less than the second preset temperature for a duration greater than the first preset duration; the second mode conversion condition includes: the plate exchanger chilled water outlet temperature is less than the third preset temperature for a duration greater than the second preset duration; The mode conversion conditions corresponding to the natural cooling mode include: the outdoor wet-bulb temperature is greater than a fourth preset temperature, and the chilled water outlet temperature is greater than a fifth preset temperature.

4. The method according to claim 3, characterized in that The target operating mode adapted to the current operating mode includes any one of the following: When the current operation mode is a cooling mode, the target operation mode is a pre-cooling mode; In the case where the current operation mode is the pre-cooling mode, the target operation mode is a cooling mode that satisfies a first mode conversion condition, or a natural cooling mode that satisfies a second mode conversion condition; When the current operation mode is the natural cooling mode, the target operation mode is the pre-cooling mode.

5. The method according to claim 3, characterized in that: In the case where the target operation mode is a natural cooling mode, the constraint conditions include a first constraint condition for cooling equipment and a first constraint condition for freezing equipment; The first constraint condition of the cooling equipment includes: the vibration frequency of the cooling water pump and the cooling tower fan in the cooling equipment is within a first frequency range; The first constraint condition of the refrigeration equipment includes: the operating frequency of the motor of the refrigeration water pump in the refrigeration equipment is within the first frequency range.

6. The method according to claim 3, characterized in that: In the case where the target operation mode is a cooling mode or a pre-cooling mode, the constraint condition includes a cooling equipment second constraint condition and a freezing equipment second constraint condition; The second constraint condition of the cooling device includes that the operating frequency of the cooling tower fan in the cooling device is within the first frequency range, and the operating frequency of the motor of the cooling water pump in the cooling device is within the second frequency range; The second constraint condition of the refrigeration equipment includes that the operating frequency of the motor of the refrigeration water pump in the refrigeration equipment is within a second frequency range.

7. The method according to claim 5 or 6, characterized in that: The adjusting the first operating parameter of the refrigeration equipment based on the constraint conditions respectively corresponding to the refrigeration equipment in the target operating mode includes: For each refrigeration device, adjusting a current operating frequency of the refrigeration device according to a constraint condition of the refrigeration device in the target operating mode; When the refrigeration device operates for a preset time period according to the adjusted operating frequency, a first operating parameter of the refrigeration device is obtained.

8. The method according to claim 1, characterized in that Determining the target operating parameters of the refrigeration system according to the adjusted first operating parameters and the target optimization model corresponding to each refrigeration device includes: Determining the equipment working quantity of each refrigeration equipment and the updated first operating parameter according to the adjusted first operating parameter and the input and output parameters in the target optimization model of each refrigeration equipment; Among them, the target optimization model of each refrigeration equipment is a data model fitted based on historical operation data.

9. A device parameter adjustment device, characterized in that: Applied in a refrigeration system, the refrigeration system comprises at least one refrigeration device, including: A parameter acquisition module, used to acquire parameters to be processed that are compatible with the current operation mode of the refrigeration system; An operation mode switching module, configured to switch the current operation mode of the refrigeration system to a target operation mode when the parameters to be processed meet a mode conversion condition adapted to the current operation mode, so as to determine the refrigeration equipment involved in the operation according to the target operation mode; An operating parameter adjustment module, configured to adjust a first operating parameter of the refrigeration device based on the constraint conditions respectively corresponding to the refrigeration device in the target operating mode; wherein the first operating parameter at least includes an operating frequency of the refrigeration device; The target parameter determination module is used to determine the target operating parameters of the refrigeration system according to the adjusted first operating parameters and the target optimization model corresponding to each refrigeration device.

10. An electronic device, characterized in that: The electronic device comprises: one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the device parameter adjustment method as described in any one of claims 1-8.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the device parameter adjustment method as described in any one of claims 1 to 8 is implemented.

12. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the computer program implements the device parameter adjustment method as described in any one of claims 1 to 8.

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