Control system and method for efficient computer room

Abstract

The present invention discloses a control system and method for an efficient computer room, wherein the system comprises: an operation status setting module which obtains real-time operation parameters of each device in the current computer room, and sets the operation status of each device according to the real-time operation parameters; a joint optimization module which solves the operation status of the current computer room when the total energy consumption is lowest according to a target energy consumption mathematical model and a preset required cooling load; a variable parameter determination module which determines controlled variable parameters according to the operation status of the current computer room when the total energy consumption is lowest, and sends the controlled variable parameters to a target PLC controller; the target PLC controller adjusts the operation status of each device according to the controlled variable parameters, so that the current computer room operates efficiently in the adjusted state; controlling the operation status of each device in the current computer room in the above manner so that the current computer room operates in an efficient state can effectively improve cooling efficiency and greatly reduce energy consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of central air-conditioning refrigeration rooms, and in particular to a control system and method for a high-efficiency room. Background Art

[0002] According to statistics, air conditioning accounts for 50% of total energy consumption, and refrigeration rooms account for 70% of air conditioning system energy consumption. Research indicates that the average energy efficiency (EER) of most centralized refrigeration rooms in my country is only 2.0-3.0, and even well-managed commercial real estate projects only have an EER of 3.5. High-efficiency rooms can achieve an EER of over 5.0, significantly improving energy efficiency. Traditionally constructed refrigeration rooms not only consume high amounts of energy but also increase enterprise investment costs and waste space. Therefore, renovating inefficient, outdated rooms, increasing the proportion of high-efficiency rooms, guiding new rooms to meet high-efficiency standards, and improving the overall energy efficiency of refrigeration rooms are urgent societal needs.

[0003] The above content is only used to assist in understanding the technical solution of the present invention. Summary of the Invention

[0004] The main purpose of the present invention is to provide a control and method for an efficient computer room, aiming to solve the technical problems of low comprehensive energy efficiency (EERs) and low energy utilization rate of refrigeration computer rooms constructed by the existing technology.

[0005] To achieve the above object, the present invention provides a control system for an efficient computer room, the control system for the efficient computer room comprising: an operation state setting module, a joint optimization module, a variable parameter determination module and a target PLC controller connected in sequence;

[0006] The operation status setting module is used to obtain the real-time operation parameters of each device in the current computer room and set the operation status of each device according to the real-time operation parameters;

[0007] The joint optimization module is used to solve the working state of the current computer room when the total energy consumption is lowest based on the target energy consumption mathematical model and the preset required cooling load;

[0008] The variable parameter determination module is used to determine the controlled variable parameters according to the current working state of the computer room when the total energy consumption is the lowest, and send the controlled variable parameters to the target PLC controller;

[0009] The target PLC controller is used to adjust the operating status of each device according to the controlled variable parameters, so that the current computer room can operate efficiently in the adjusted state.

[0010] Optionally, the joint optimization module is used to calculate the preset required cooling load of the specified area within a preset time interval through the target cooling load equipment, and solve the working state of the current computer room when the total energy consumption is lowest according to the preset global optimization algorithm and the preset required cooling load through the target energy consumption mathematical model.

[0011] Optionally, the joint optimization module is used to calculate the preset demand cooling load of the specified area within a preset time interval through the target cooling load detection device, obtain the current cooling load of each device in the current computer room when it is in operation, and when the current cooling load does not meet the preset demand cooling load, calculate the cooling load difference based on the current cooling load and the preset demand cooling load, determine the cooling load adjustment strategy based on the cooling load difference, adjust the cooling parameters of each device in the current computer room according to the cooling load adjustment strategy until the cooling load of each device after adjustment meets the preset demand cooling load, and solve the working state of the current computer room when the total energy consumption is lowest through the target energy consumption mathematical model according to the preset global optimization algorithm.

[0012] Optionally, the joint optimization module is used to obtain the energy consumption of each device in the current computer room, calculate the energy consumption of each device in the current computer room through a target energy consumption mathematical model to obtain the current total energy consumption, and when the current total energy consumption is much greater than a preset energy consumption threshold, obtain the historical cooling load range of each device, extract the maximum cooling load of the historical cooling load range, and divide the devices into first energy-influencing devices and second energy-influencing devices according to the maximum cooling load and the preset cooling load threshold, calculate the total energy consumption difference according to the current total energy consumption and the preset energy consumption threshold, adjust the energy consumption parameters of the first energy-influencing device when the total energy consumption difference is greater than the target energy consumption threshold, and adjust the energy consumption parameters of the second energy-influencing device when the energy consumption difference between the adjusted total energy consumption and the preset energy consumption threshold is less than the target energy consumption threshold, and perform iterative processing in the above manner through a preset global optimization algorithm to obtain an energy consumption set, and after reaching a preset number of times, extract the minimum energy consumption in the energy consumption set, and obtain the working status of the current computer room based on the minimum energy consumption.

[0013] Optionally, the control system of the efficient computer room further includes a model building module;

[0014] The model building module is used to obtain characteristic information of each device in the current computer room and build an energy consumption mathematical model corresponding to each device according to the characteristic information;

[0015] The model building module is further configured to build a target energy consumption mathematical model of the current computer room according to the energy consumption mathematical model and the association relationship between the various devices.

[0016] Optionally, the control system of the high-efficiency computer room further includes a model selection module, and each device includes a refrigeration host, a cooling tower, a water pump, an energy valve, a plate heat exchanger, a terminal device, and a water processor;

[0017] The selection module is further used to obtain the type of each device, match the type of each device with the target high-efficiency selection rules, select the refrigeration host, cooling tower, water pump, energy valve, plate heat exchanger, terminal device and water processor from the multiple devices according to the matching results, and then continue to execute the steps of obtaining the real-time operating parameters of each device in the current computer room and setting the operating status of each device according to the real-time operating parameters.

[0018] Optionally, the selection module is further configured to obtain a corresponding high-efficiency refrigeration host selection rule based on the matching result, obtain a load analysis configuration fixed frequency conversion ratio, a host national standard operating performance requirement, a host variable flow performance parameter, and user demand information based on the high-efficiency refrigeration host selection rule, preliminarily select several refrigeration hosts from the plurality of device information based on the load analysis configuration fixed frequency conversion ratio, the host national standard operating performance requirement, and the host variable flow performance parameter, and select a refrigeration host from the plurality of refrigeration hosts based on the user demand information;

[0019] The selection module is further configured to obtain a corresponding high-efficiency cooling tower selection rule based on the matching result, obtain energy information, motor power information, target flow rate water distribution strategy, wide frequency conversion range, noise control index, air intake demand, and exhaust demand based on the high-efficiency cooling tower selection rule, and select a cooling tower from the plurality of devices based on the energy information, motor power information, target flow rate water distribution strategy, wide frequency conversion range, noise control index, air intake demand, and exhaust demand;

[0020] The selection module is further configured to obtain a corresponding high-efficiency water pump selection rule based on the matching result, obtain variable frequency motor parameters, flow demand parameters, and water pump head parameters based on the high-efficiency water pump selection rule, and select a water pump from the plurality of devices based on the variable frequency motor parameters, flow demand parameters, and water pump head parameters;

[0021] The selection module is further configured to obtain a corresponding high-efficiency energy valve selection rule based on the matching result, obtain dynamic and static hydraulic balance standards and a temperature difference control strategy for the air-conditioning system based on the high-efficiency energy valve selection rule, and select an energy valve from the plurality of devices based on the dynamic and static hydraulic balance standards and the temperature difference control strategy for the air-conditioning system;

[0022] The selection module is further configured to obtain a corresponding high-efficiency plate heat exchanger selection rule based on the matching result, obtain a total heat transfer coefficient, heat transfer efficiency, logarithmic mean temperature difference, number of plates, and heat exchange area based on the high-efficiency plate heat exchanger selection rule, and select a plate heat exchanger from the plurality of devices based on the total heat transfer coefficient, heat transfer efficiency, logarithmic mean temperature difference, number of plates, and heat exchange area;

[0023] The selection module is further configured to obtain a corresponding high-efficiency terminal device selection rule based on the matching result, obtain a target model, heat exchange capacity information, condenser coil material information, and water pressure drop information based on the high-efficiency condenser selection rule, and select a terminal device from the plurality of devices based on the target model, heat exchange capacity information, condenser coil material information, and water pressure drop information;

[0024] The selection module is further configured to obtain a corresponding high-efficiency water processor selection rule based on the matching result, obtain a side stream physical and chemical form and a water flow rate based on the high-efficiency water processor selection rule, and select a water processor from the plurality of devices based on the side stream physical and chemical form and the water flow rate.

[0025] Optionally, the control system of the high-efficiency computer room further includes a high-efficiency computer room judgment module;

[0026] The high-efficiency computer room judgment module is used to calculate the comprehensive energy efficiency of the current computer room based on the total cooling capacity of the current computer room and the energy consumption of each device. When the comprehensive energy efficiency is greater than a preset comprehensive energy efficiency threshold, the current computer room is determined to be a high-efficiency computer room, and the controlled variable parameters are determined according to the working state of the current computer room when the total energy consumption is the lowest, and the controlled variable parameters are sent to the target PLC controller.

[0027] Optionally, the control system of the high-efficiency computer room further includes a monitoring module and a diagnosis module;

[0028] The monitoring module is configured to perform real-time monitoring of the current computer room, generate a corresponding equipment operation report based on the monitoring results, analyze the working efficiency of the current computer room based on the equipment operation report, and send the equipment operation report to the diagnosis module when the working efficiency is less than a preset efficiency threshold;

[0029] The diagnostic module is configured to diagnose the equipment operation report according to the target artificial intelligence algorithm, obtain efficiency influencing factors, generate an efficiency improvement strategy according to the target knowledge base and the efficiency influencing factors, and send the efficiency improvement strategy to the joint optimization module;

[0030] The joint optimization module is further used to adjust the operating status of each device according to the efficiency improvement strategy.

[0031] In addition, to achieve the above-mentioned purpose, the present invention further proposes a control method for an efficient computer room, which is applied to a control system of an efficient computer room. The system comprises: an operation state setting module, a joint optimization module, a variable parameter determination module, and a target PLC controller connected in sequence. The method comprises:

[0032] The operation status setting module obtains the real-time operation parameters of each device in the current computer room and sets the operation status of each device according to the real-time operation parameters;

[0033] The joint optimization module solves the working state of the current computer room when the total energy consumption is lowest based on the target energy consumption mathematical model and the preset required cooling load;

[0034] The variable parameter determination module determines the controlled variable parameters according to the working state of the current computer room when the total energy consumption is the lowest, and sends the controlled variable parameters to the target PLC controller;

[0035] The target PLC controller adjusts the operating status of each device according to the controlled variable parameters, so that the current computer room operates efficiently in the adjusted state.

[0036] The present invention obtains the real-time operating parameters of each device in the current computer room through the operating status setting module, and sets the operating status of each device according to the real-time operating parameters; the joint optimization module solves the working status of the current computer room when the total energy consumption is lowest according to the target energy consumption mathematical model and the preset required cooling load; the variable parameter determination module determines the controlled variable parameters according to the working status of the current computer room when the total energy consumption is lowest, and sends the controlled variable parameters to the target PLC controller; the target PLC controller adjusts the operating status of each device according to the controlled variable parameters, so that the current computer room operates efficiently in the adjusted state; the operating status of each device in the current computer room is controlled in the above manner, so that the current computer room operates in an efficient state, which can effectively improve the cooling efficiency and greatly reduce energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a structural block diagram of a first embodiment of a control system for an efficient computer room according to the present invention;

[0038] Figure 2 A schematic diagram of comprehensive energy efficiency of an embodiment of a control system for a high-efficiency computer room according to the present invention;

[0039] Figure 3 This is a schematic diagram of energy efficiency trends of a second embodiment of a control system for a high-efficiency computer room according to the present invention;

[0040] Figure 4 This is a structural block diagram of a second embodiment of a control system for an efficient computer room according to the present invention;

[0041] Figure 5 1 is a flow chart of a first embodiment of a method for controlling an efficient computer room according to the present invention.

[0042] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0043] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0044] Reference Figure 1 , Figure 1 The structure block diagram of the first embodiment of the control system of the efficient computer room of the present invention comprises: an operation state setting module 10, a joint optimization module 20, a variable parameter determination module 30 and a target PLC controller 40 connected in sequence.

[0045] In this embodiment, the operating status setting module 10 in the control system 100 of the high-efficiency computer room refers to a module for setting the operating status of the equipment, and the real-time operating parameters refer to the operating parameters of each device in the current computer room. The operating parameters adopt a time series database, that is, a single piece of data occupies fewer bytes, which makes the data extremely efficient in the query process. After obtaining the real-time operating parameters, the operating status of each device is set according to the real-time operating parameters. After the setting is completed, each device in the current computer room starts to run in the operating status, that is, the entire current computer room starts working, and as the environment changes and the weather conditions change, the operating status of the current computer room will also change accordingly, for example, the number of control devices, the matching of equipment operating parameters, etc.

[0046] In this embodiment, the joint optimization module 20 in the control system 100 of the high-efficiency computer room refers to optimizing the working state of the current computer room when the total energy consumption is lowest on the basis of meeting the cooling load required in the specified area. Specifically, it is obtained by using the target energy consumption mathematical model based on the preset demand cooling load. The target energy consumption mathematical model refers to a mathematical model for calculating the total energy consumption of the current computer room, and the preset demand cooling load refers to the cooling load required in the specified area. The following rules need to be followed in the overall joint optimization process: avoid local optimal feedforward calculation to ensure stable operation, and continuously revise the target energy consumption mathematical model.

[0047] Furthermore, the preset demand cooling load is calculated by the target cooling load device within a preset time interval, that is, the required load is measured by the target cooling load device in the specified area every preset time. After obtaining the preset demand cooling load, the energy balance of the entire target computer room is first ensured through the target energy balance mathematical model, and then the target energy consumption mathematical model is used to solve the working state of the current computer room when the total energy consumption is lowest according to the preset global optimization algorithm.

[0048] Furthermore, the current cooling load refers to the total cooling load when each device is operating in the set operating state. Then, it is determined whether the current cooling load meets the preset demand cooling load. If so, it indicates that the current computer room meets the cooling load requirements. At this time, the target energy consumption mathematical model is directly used to solve the current computer room's working state when the total energy consumption is the lowest according to the preset global optimization algorithm. If not, it is necessary to adjust the cooling parameters of each device in the current computer room through the cooling load adjustment strategy. The cooling load adjustment strategy refers to the strategy for adjusting the cooling load of each device. The cooling load adjustment strategy is determined by the cooling load difference between the current cooling load and the preset demand cooling load. Specifically, the cooling load adjustment strategy can increase or decrease the cooling load of each device until the adjusted cooling load of each device meets the preset demand cooling load. Then, the target energy consumption mathematical model is used to solve the current computer room's working state when the total energy consumption is the lowest according to the preset global optimization algorithm.

[0049] Furthermore, the current total energy consumption refers to the total energy consumption of each device in the current computer room, which is specifically obtained by calculating the energy consumption of each device through the target energy consumption mathematical model. When the current total energy consumption is much greater than the preset energy consumption threshold, it indicates that the total energy consumption of the current computer room is not the lowest. At this time, it is necessary to adjust the energy consumption parameters of each device in the current computer room. The historical cooling load range refers to the range composed of the historical maximum cooling load and minimum cooling load of each device. The maximum cooling load is then extracted from the historical cooling load range. According to the maximum cooling load and the preset cooling load threshold, the devices are divided into the first energy-influencing device and the second energy-influencing device. The first energy-influencing device refers to the device that has a great impact on the energy consumption of the current computer room. Specifically, when the energy consumption parameter of the device is adjusted by 1 unit, The energy consumption of the current computer room changes by 10 units or more. The second energy-influencing equipment refers to equipment that has a smaller impact on the energy consumption of the current computer room. Specifically, the energy consumption parameters of the equipment are adjusted by 1 unit. The energy consumption of the current computer room changes by less than 10 units. When it is determined that the total energy consumption difference is greater than the target energy consumption threshold, it indicates that the energy consumption of the current computer room needs to be significantly adjusted. In order to improve the adjustment efficiency, a strategy is adopted to first adjust the energy consumption parameters of the first energy-influencing equipment and then adjust the energy consumption parameters of the second energy-influencing equipment. Then, the preset global optimization algorithm is used to iterate in the above manner to obtain an energy consumption set, and then the lowest energy consumption is selected from the energy consumption set. At this time, each device is controlled to operate with the parameters corresponding to the lowest energy consumption of the current computer room, which is the working state of the current computer room.

[0050] In this embodiment, the control system 100 of the high-efficiency computer room also includes a model construction module. After obtaining the characteristic information of each device in the current computer room, an energy consumption mathematical model corresponding to each device is constructed based on the characteristic information. That is, different devices correspond to different energy consumption mathematical models. The association relationship refers to the relationship between the various devices in the current computer room, for example, the connection relationship between the refrigeration host and the cooling tower. Then, the target energy consumption mathematical model of the entire current computer room is established based on the energy consumption mathematical model of each device.

[0051] In this embodiment, the control system 100 of the high-efficiency computer room also includes an high-efficiency computer room judgment module, which specifically calculates the comprehensive energy efficiency of the current computer room based on the total cooling capacity of the current computer room and the energy consumption of each device. When the comprehensive energy efficiency is greater than a preset comprehensive energy efficiency threshold, the current computer room is determined to be a high-efficiency computer room. The formula for calculating the comprehensive energy efficiency is comprehensive energy efficiency EERs = total cooling capacity of the current computer room / power consumption of each device. When the current comprehensive energy efficiency is greater than the preset comprehensive energy efficiency threshold, the current computer room is determined to be a high-efficiency computer room. The preset comprehensive energy efficiency threshold can be set to 5.0. In this embodiment, it includes but is not limited to a refrigeration host, a chilled water pump, a cooling water pump and a cooling tower, specifically a refrigeration host, a cooling tower, a water pump, an energy valve, a plate heat exchanger, a terminal device and a water processor.

[0052] Understandably, the reference Figure 2 , Figure 2 Schematic diagram of comprehensive energy efficiency. Specifically, comprehensive energy efficiency is calculated by the ratio of power consumption of all relevant equipment, such as the total cooling capacity, the refrigeration main unit, the chilled water pump, the cooling water pump, and the cooling tower. Compared with the traditional computer room, the comprehensive energy efficiency of the high-efficiency computer room constructed in this embodiment is greater than the preset comprehensive energy efficiency threshold. For example, the current comprehensive energy efficiency is between 5.0 and 6.0, while the comprehensive energy efficiency of the traditional computer room is 3.5. In addition, the energy consumption of the chiller in the high-efficiency computer room is also much lower than that of the chiller in the traditional computer room.

[0053] It should be understood that reference Figure 3 , Figure 3 This is a schematic diagram of energy efficiency trends. Specifically, as time goes by, the energy efficiency of the traditional computer room shows a downward trend, and the decline is large. However, the energy efficiency of the high-efficiency computer room constructed in this embodiment shows a stable trend over time, that is, the high-efficiency computer room continues to work efficiently in a high-energy-efficiency manner.

[0054] Furthermore, after the various devices are installed, the entire target high-efficiency computer room needs to be monitored in real time. Specifically, this involves 24-hour, remote, and non-delayed monitoring via a network cloud platform. Equipment operation reports are automatically generated, and efficiency anomalies are diagnosed. Specifically, the monitoring module monitors the target high-efficiency computer room and generates corresponding equipment operation reports. The corresponding work efficiency is analyzed based on the equipment operation reports. If the work efficiency falls below a preset efficiency threshold, an efficiency anomaly is detected. In this case, the equipment operation report needs to be sent to the diagnosis module for diagnosis. After receiving the equipment operation report, the diagnosis module uses an artificial intelligence algorithm to compare the working status of the high-efficiency computer room before installation with the working status of the target high-efficiency computer room installed at the equipment installation location to identify factors affecting efficiency. Based on these factors, a corresponding efficiency improvement strategy is then formulated. The parameter setting module then performs a rationality analysis. If the analysis results meet the requirements, the operating parameters of each target device in the target high-efficiency computer room are adjusted according to the efficiency improvement strategy. After adjustment, the current computer room achieves the lowest overall energy consumption while meeting the cooling load, and the current comprehensive energy efficiency exceeds the preset comprehensive energy efficiency threshold. A hybrid data source engine is used to automatically identify faults, ensuring fault-tolerant operation of the high-efficiency computer room system.

[0055] In this embodiment, the variable parameter determination module 30 in the control system 100 of the high-efficiency computer room refers to a module for determining the controlled variable parameters. The joint optimization module 20 solves the energy consumption parameters that can reduce the total energy consumption of the current computer room, and the controlled variable parameters refer to the parameters in the energy consumption parameters that can quickly and accurately reduce energy consumption to the minimum value. After determining the controlled variable parameters, the controlled variable parameters are forwarded to the target PLC controller 40.

[0056] In this embodiment, after the target PLC controller 40 in the control system 100 of the high-efficiency computer room obtains the controlled variable parameters, the PLC controllers corresponding to each device adjust the controlled variable parameters. During the adjustment process, the operating status of each device will change from an operating state to an operating state that meets the preset required cooling load and has the lowest total energy consumption of the current computer room, that is, the current computer room operates at the highest efficiency.

[0057] When the preset cooling load is met and the current computer room has the lowest total energy consumption, the target computer room constructed by each target device will be assembled in the target area according to the equipment assembly rules. The equipment assembly rules refer to the rules for assembling the designed target computer room, including assembling each target device first, then connecting each target device, and finally setting the target device to operate with the adjusted operating parameters to achieve the lowest overall energy consumption under the premise of meeting the cooling load. Generally, multiple hosts will be installed, that is, for backup and normal use, and run the cooling system at the same time when the cooling demand is large. For example, a shopping mall requires 2 chilled water hosts, 3 chilled water pumps, 3 cooling water pumps, 1 set of strong and weak current control cabinets, 1 set of BMS control cabinets, 1 set of water treatment, 8 electric butterfly valves, 1 set of constant pressure water supply, 6 Y-type filters, sensors. For air-conditioning systems with multiple host requirements such as data centers, they are mainly divided into multiple modules, including host modules, freezing modules, cooling modules, and cooling towers. For large commercial complexes, venues, District cooling, etc., requires system modular design and splicing. After each device is transported to the specified area, each device is installed in an assembled manner. The above method can improve installation efficiency and reduce errors.

[0058] In this embodiment, the real-time operating parameters of each device in the current computer room are obtained through the operating status setting module 10, and the operating status of each device is set according to the real-time operating parameters; the joint optimization module 20 solves the working status of the current computer room when the total energy consumption is lowest according to the target energy consumption mathematical model and the preset required cooling load; the variable parameter determination module 30 determines the controlled variable parameters according to the working status of the current computer room when the total energy consumption is lowest, and sends the controlled variable parameters to the target PLC controller; the target PLC controller 40 adjusts the operating status of each device according to the controlled variable parameters, so that the current computer room operates efficiently in the adjusted state; controlling the operating status of each device in the current computer room in the above manner so that the current computer room operates in an efficient state can effectively improve the cooling efficiency and greatly reduce energy consumption.

[0059] refer to Figure 4 , based on the above Figure 4 The embodiment shown provides the second embodiment of the control system for a high-efficiency computer room of the present invention.

[0060] In this embodiment, the selection module 01, since there are multiple target devices for building an efficient computer room, and the efficient selection rules used in selecting different target devices are different, it is necessary to adopt proprietary efficient selection rules to select corresponding devices, that is, to match the type of each device with each selection rule of the target efficient selection rule. The types of each device include refrigeration host type, cooling tower type, water pump type, energy valve type, plate heat exchanger type, terminal device type and water treatment device type. Accordingly, each device includes a refrigeration host, cooling tower, water pump, energy valve, plate heat exchanger, terminal device and water treatment device.

[0061] Furthermore, the matching results show that the refrigeration host is selected using the high-efficiency refrigeration host selection rule, the cooling tower is selected using the high-efficiency cooling tower selection rule, the water pump is selected using the high-efficiency water pump selection rule, the terminal equipment is selected using the high-efficiency terminal equipment selection rule, the plate heat exchanger is selected using the high-efficiency plate heat exchanger selection rule, the energy valve is selected using the high-efficiency energy valve selection rule, and the water processor is selected using the high-efficiency water processor selection rule. The refrigeration host is selected using the high-efficiency refrigeration host selection rule. As the most important equipment in a high-efficiency cold station, its selection is particularly important. This embodiment, based on the implementation of a standard high-efficiency computer room and in combination with relevant domestic and international standards, provides key requirements for refrigeration host selection, providing a good foundation for efficient operation of the air-conditioning system. Specifically, the requirements for selecting the refrigeration host are obtained based on the high-efficiency refrigeration host selection rule, including but not limited to: ① configuring a fixed-frequency variable-frequency ratio based on annual load analysis (a peak of 2400 RT can be configured with a certain high-efficiency fixed-frequency host); ② national standard operating performance requirements for the host (level 1 energy efficiency): variable-frequency host: (GB) IPLV ≥ 8.5, national standard COP ≥ 6.1; fixed-frequency host: (GB) COP ≥ 6.6, national standard IPLV ≥ 7.0; ③ Each host must provide cooling water at 18℃ 132℃ at each temperature of 10% 1100% of the two-device variable flow performance parameters (two-device flow ≥ 60% variable flow, less than 60% is 60% flow); ④ For systems with a maximum load of more than 1200RT, a small-capacity host must be configured, depending on the annual load analysis, generally 5% 115% of the maximum load; ⑤ For systems with ≤ 3 hosts, it is recommended to use full frequency conversion; for systems with ≥ 4 hosts, it is recommended to use N+2 (small machine) configuration, with the small machine using a variable frequency host, and the total capacity of the two hosts not less than 70% of the capacity of a single large machine; ⑥ For magnetic levitation hosts, it is recommended to select according to the specific needs of the owner and select the cooling tower using the high-efficiency cooling tower selection rules. The correct selection of the cooling tower will affect the success or failure of the high-efficiency computer room.During actual operation, the number of cooling towers and fan frequency are directly controlled according to the wet-bulb approximation, which not only reduces the energy consumption of the cooling tower, but also ensures that the host operates in the high-efficiency range. Specifically, the requirements for selecting the cooling tower are obtained according to the high-efficiency cooling tower selection rules, including but not limited to ① The cooling tower capacity is the same and is not configured with the host size; ② Approximate selection of cooling tower capacity: 1m3 / h water volume of cooling tower = 1RT cooling capacity of chiller; ③ The approximation under the three conditions of 5-degree temperature difference of cooling water, 27.5*(wet-bulb temperature), and actual condenser flow is ≤2.5℃; ④ Cooling tower motor power: ≤0.03w / m3 / h (water volume); ⑤ Equipped with uniform water distribution technology at 30% flow (cross-flow tower is preferred in most cases); ⑥ The cooling tower motor supports a wide frequency conversion range of 20HZ150HZ; ⑦ Clarify the noise control indicators based on the noise sensitive points around the project (generally, it is necessary to clarify the distance between the noise sensitive point or the building red line and the nearest cooling tower outlet and the corresponding noise indicators); ⑧ Adequate air intake and exhaust conditions must be ensured around the cooling tower. Minimize the number of large-sized items such as various fans, heat pumps, and air ducts, and use efficient water pump selection rules to select water pumps, which are the power source for the cooling water and chilled water circulation of the air-conditioning system.However, cooling water pumps and chilled water pumps account for an average of 15% to 120% of the system's energy consumption throughout the year. Therefore, in addition to system temperature differences and variable frequency control logic, reducing water pump energy consumption also requires that the pump selection meet certain criteria, including but not limited to: ① Variable frequency motors: Use a forced ventilation cooling system to ensure effective heat dissipation at any motor speed, enabling long-term high or low speed operation; ② Flow rate requirements: The design flow rate must not exceed 75% of the maximum flow rate; ③ Efficiency requirements: Pumps with a water flow of 200 m³ / h or more must have an efficiency of at least 80% (depending on the project's computer room conditions, vertical pumps are generally preferred); ④ Pump head: Based on the experience of many successful and efficient computer rooms, the chilled water pump is approximately 25 m, and the cooling water pump is approximately 20 m. The terminal equipment selection rules for efficient terminal equipment are used to select the terminal equipment. The selection of the terminal equipment directly affects the chilled water pump head, which in turn affects the chilled water pump energy consumption and the chilled water supply temperature, which in turn affects the energy efficiency of the main unit. Specifically, the requirements for terminal equipment selection are determined based on the efficient terminal equipment selection rules, including but not limited to: ① Each terminal unit must have an AHRI selection. ② The selected heat exchange rate ≥ 105% of the designed heat exchange rate; ③ All surface cooler coils must be equipped with hydrophilic aluminum foil fins; ④ The water pressure drop ≤ 50KPa, and the energy valve selected according to the high-efficiency energy valve selection rules consists of a set of high-precision energy meters + an electric regulating seat valve (DC motor) + a set of control logic. The requirements for selecting the energy valve are obtained according to the high-efficiency energy valve selection rules, including but not limited to ① Effectively solve the dynamic and static hydraulic balance of the air-conditioning system, and realize one-key debugging on the computer network to replace the traditional method (static valve + control valve + dynamic pressure differential valve) to install without adjustment or even if debugging, there will be huge repeated debugging; ② Realize effective temperature difference control at the terminal; ③ Realize digital management of the water system of the terminal equipment The plate heat exchanger is selected using the high-efficiency plate heat exchanger selection rules. Specifically, the plate heat exchanger with the best total heat transfer coefficient, heat transfer efficiency, logarithmic mean temperature difference, number of plates and heat exchange area is selected using the high-efficiency plate heat exchanger selection rules. The flow direction and mode of the liquid will affect the logarithmic mean temperature, and the higher the logarithmic mean temperature, the better the heat transfer effect. Therefore, it is necessary to select a plate heat exchanger with a generally parallel or countercurrent flow of the fluid and a very high logarithmic mean temperature. The water processor is selected using the high-efficiency water processor selection rules. Specifically, the requirements for selecting the water processor according to the high-efficiency water processor selection rules include but are not limited to ① giving priority to the side flow physical and chemical form; ② no water resistance and low power; ③ selecting according to 5% of the system water flow.

[0062] In this embodiment, the type of each device is obtained through the selection module 01, and the type of each device is matched with the target high-efficiency selection rule. According to the matching results, the refrigeration host, cooling tower, water pump, energy valve, plate heat exchanger, terminal device and water treatment device are selected from the several devices. At this time, the selected devices meet the requirements for building an efficient computer room, which can effectively improve the accuracy and efficiency of building an efficient computer room.

[0063] Reference Figure 5 The control system of the efficient computer room of the present invention provides a control method for the efficient computer room. FIG5 is a flow chart of a first embodiment of the control method for the efficient computer room of the present invention. The control system of the efficient computer room includes: an operation state setting module, a joint optimization module, a variable parameter determination module, and a target PLC controller connected in sequence;

[0064] The control method of the high-efficiency computer room includes:

[0065] Step S10: the operation status setting module obtains the real-time operation parameters of each device in the current computer room, and sets the operation status of each device according to the real-time operation parameters.

[0066] It can be understood that configuration parameters refer to the basic parameters configured on the equipment. Different equipment has different corresponding configuration parameters. For example, for the refrigeration host, the real-time operating parameters refer to the operating parameters of each device in the current computer room. After obtaining the real-time operating parameters, the operating status of each device is set according to the real-time operating parameters. After the setting is completed, each device in the current computer room starts to operate in the operating state, that is, the entire current computer room starts working, and as the environment changes and the weather conditions change, the operating status of the current computer room will also change accordingly, for example, the number of control devices, the matching of equipment operating parameters, etc.

[0067] In step S20, the joint optimization module solves the working state of the current computer room when the total energy consumption is lowest according to the target energy consumption mathematical model and the preset required cooling load.

[0068] It should be understood that, on the basis of meeting the cooling load required in the specified area, the current working state of the computer room when the total energy consumption is the lowest is specifically obtained by using the target energy consumption mathematical model to solve according to the preset demand cooling load. The target energy consumption mathematical model refers to the mathematical model for calculating the total energy consumption of the current computer room, and the preset demand cooling load refers to the cooling load required in the specified area.

[0069] It can be understood that the preset demand cooling load is calculated by the target cooling load equipment within a preset time interval, that is, the required load is measured by the target cooling load equipment in the specified area every preset time. After obtaining the preset demand cooling load, the energy balance of the entire target computer room is first ensured through the target energy balance mathematical model, and then the target energy consumption mathematical model is used according to the preset global optimization algorithm to solve the working status of the current computer room when the total energy consumption is the lowest.

[0070] It should be understood that the current cooling load refers to the total cooling load when each device is operating in the set operating state. Then, it is judged whether the current cooling load meets the preset demand cooling load. If so, it indicates that the current computer room meets the cooling load requirements. At this time, the target energy consumption mathematical model is directly used to solve the working state of the current computer room when the total energy consumption is the lowest according to the preset global optimization algorithm. If not, it is necessary to adjust the cooling parameters of each device in the current computer room through the cooling load adjustment strategy. The cooling load adjustment strategy refers to the strategy for adjusting the cooling load of each device. The cooling load adjustment strategy is determined by the cooling load difference between the current cooling load and the preset demand cooling load. Specifically, the cooling load adjustment strategy can increase or decrease the cooling load of each device until the adjusted cooling load of each device meets the preset demand cooling load. Then, the target energy consumption mathematical model is used to solve the working state of the current computer room when the total energy consumption is the lowest according to the preset global optimization algorithm.

[0071] It can be understood that the current total energy consumption refers to the total energy consumption of each device in the current computer room, which is specifically obtained by calculating the energy consumption of each device through the target energy consumption mathematical model. When the current total energy consumption is much greater than the preset energy consumption threshold, it indicates that the total energy consumption of the current computer room is not the lowest. At this time, it is necessary to adjust the energy consumption parameters of each device in the current computer room. The historical cooling load range refers to the range composed of the historical maximum cooling load and minimum cooling load of each device. The maximum cooling load is then extracted from the historical cooling load range. According to the maximum cooling load and the preset cooling load threshold, the various devices are divided into the first energy-influencing device and the second energy-influencing device. The first energy-influencing device refers to the device that has a great impact on the energy consumption of the current computer room. Specifically, the energy consumption parameters of the device are adjusted. When the energy consumption parameter of the equipment is adjusted by 1 unit, the energy consumption of the current computer room changes by 10 units or more. The second energy-influencing equipment refers to the equipment that has a smaller impact on the energy consumption of the current computer room. Specifically, when the energy consumption parameter of the equipment is adjusted by 1 unit, the energy consumption of the current computer room changes by less than 10 units. When it is determined that the total energy consumption difference is greater than the target energy consumption threshold, it indicates that the energy consumption of the current computer room needs to be significantly adjusted. In order to improve the adjustment efficiency, the strategy of first adjusting the energy consumption parameters of the first energy-influencing equipment and then adjusting the energy consumption parameters of the second energy-influencing equipment is adopted. Then, the preset global optimization algorithm is used to iterate in the above manner to obtain an energy consumption set, and then the lowest energy consumption is selected from the energy consumption set. At this time, each device is controlled to operate with the parameters corresponding to the lowest energy consumption of the current computer room, which is the working state of the current computer room.

[0072] It should be understood that after obtaining the characteristic information of each device in the current computer room, an energy consumption mathematical model corresponding to each device is constructed based on the characteristic information, that is, different devices correspond to different energy consumption mathematical models. The association relationship refers to the relationship between the various devices in the current computer room, for example, the connection relationship between the refrigeration host and the cooling tower, and then the target energy consumption mathematical model of the entire current computer room is established based on the energy consumption mathematical model of each device.

[0073] It can be understood that the comprehensive energy efficiency of the current computer room is calculated by combining the total cooling capacity of the current computer room and the energy consumption of each device. When the comprehensive energy efficiency is greater than the preset comprehensive energy efficiency threshold, the current computer room is determined to be a high-efficiency computer room. The formula for calculating the comprehensive energy efficiency is comprehensive energy efficiency EERs = total cooling capacity of the current computer room / energy consumption of each device. When the current comprehensive energy efficiency is greater than the preset comprehensive energy efficiency threshold, the current computer room is determined to be a high-efficiency computer room. The preset comprehensive energy efficiency threshold can be set to 5.0. In this embodiment, it includes but is not limited to chillers, chilled water pumps, cooling water pumps and cooling towers, specifically refrigeration hosts, cooling towers, water pumps, energy valves, plate heat exchangers, terminal equipment and water processors.

[0074] Understandably, the reference Figure 2 , Figure 2 Schematic diagram of comprehensive energy efficiency. Specifically, the comprehensive energy efficiency is calculated based on the total cooling capacity, water units, chilled water pumps, cooling water pumps, and cooling towers. Compared with the traditional computer room, the comprehensive energy efficiency of the high-efficiency computer room constructed in this embodiment is greater than the preset comprehensive energy efficiency threshold. For example, the current comprehensive energy efficiency is between 5.0 and 6.0, while the comprehensive energy efficiency of the traditional computer room is 3.5. In addition, the energy consumption of the chiller in the high-efficiency computer room is also much lower than that of the chiller in the traditional computer room.

[0075] It should be understood that reference Figure 3 , Figure 3 This is a schematic diagram of energy efficiency trends. Specifically, as time goes by, the energy efficiency of the traditional computer room shows a downward trend, and the decline is large. However, the energy efficiency of the high-efficiency computer room constructed in this embodiment shows a stable trend over time, that is, the high-efficiency computer room continues to work efficiently in a high-energy-efficiency manner.

[0076] Step S30: the variable parameter determination module determines controlled variable parameters according to the current working state of the computer room when the total energy consumption is lowest, and sends the controlled variable parameters to the target PLC controller.

[0077] It can be understood that the energy consumption parameters that can reduce the total energy consumption of the current computer room are solved in the joint optimization module, and the controlled variable parameters refer to the parameters in the energy consumption parameters that can quickly and accurately reduce energy consumption to the minimum value. After determining the controlled variable parameters, the controlled variable parameters are forwarded to the target PLC controller.

[0078] In step S40, the target PLC controller adjusts the operating status of each device according to the controlled variable parameters, so that the current computer room operates efficiently in the adjusted state.

[0079] It should be understood that after obtaining the controlled variable parameters, the PLC controller corresponding to each device adjusts the controlled variable parameters. During the adjustment process, the operating status of each device will change to an operating state that meets the preset required cooling load and has the lowest total energy consumption in the current computer room, that is, the current computer room operates at the highest efficiency.

[0080] When the preset cooling load is met and the current computer room has the lowest total energy consumption, the target computer room constructed by each target device will be assembled in the target area according to the equipment assembly rules. The equipment assembly rules refer to the rules for assembling the designed target computer room, including assembling each target device first, then connecting each target device, and finally setting the target device to operate with the adjusted operating parameters to achieve the lowest overall energy consumption under the premise of meeting the cooling load. Generally, multiple hosts will be installed, that is, for backup and normal use, and run the cooling system at the same time when the cooling demand is large. For example, a shopping mall requires 2 chilled water hosts, 3 chilled water pumps, 3 cooling water pumps, 1 set of strong and weak current control cabinets, 1 set of BMS control cabinets, 1 set of water treatment, 8 electric butterfly valves, 1 set of constant pressure water supply, 6 Y-type filters, sensors. For air-conditioning systems with multiple host requirements such as data centers, they are mainly divided into multiple modules, including host modules, freezing modules, cooling modules, and cooling towers. For large commercial complexes, venues, District cooling, etc., requires system modular design and splicing. After each device is transported to the specified area, it is installed in an automated assembly manner. The above method can improve installation efficiency and reduce errors.

[0081] This embodiment obtains the real-time operating parameters of each device in the current computer room through the operating status setting module, and sets the operating status of each device according to the real-time operating parameters; the joint optimization module solves the working status of the current computer room when the total energy consumption is lowest according to the target energy consumption mathematical model and the preset required cooling load; the variable parameter determination module determines the controlled variable parameters according to the working status of the current computer room when the total energy consumption is lowest, and sends the controlled variable parameters to the target PLC controller; the target PLC controller adjusts the operating status of each device according to the controlled variable parameters, so that the current computer room operates efficiently in the adjusted state; controlling the operating status of each device in the current computer room in the above manner so that the current computer room operates in an efficient state can effectively improve the cooling efficiency and greatly reduce energy consumption.

[0082] Other embodiments or specific implementation methods of the control system device for the high-efficiency computer room of the present invention can refer to the above-mentioned method embodiments, which will not be repeated here.

[0083] In addition, it should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0084] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0085] In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words may be interpreted as names.

[0086] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, or of course by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as a read-only memory (ROM) / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0087] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A high-efficiency computer room control system, characterized in that: The control system of the high-efficiency computer room includes: an operation state setting module, a joint optimization module, a variable parameter determination module and a target PLC controller connected in sequence; The operation status setting module is used to obtain the real-time operation parameters of each device in the current computer room and set the operation status of each device according to the real-time operation parameters; The joint optimization module is used to solve the working state of the current computer room when the total energy consumption is lowest based on the target energy consumption mathematical model and the preset required cooling load; The variable parameter determination module is used to determine the controlled variable parameters according to the current working state of the computer room when the total energy consumption is the lowest, and send the controlled variable parameters to the target PLC controller; The target PLC controller is used to adjust the operating state of each device according to the controlled variable parameters, so that the current computer room operates efficiently in the adjusted state; The joint optimization module is used to calculate the preset required cooling load of the specified area within a preset time interval through the target cooling load device, and solve the working state of the current computer room when the total energy consumption is lowest according to the preset global optimization algorithm and the preset required cooling load through the target energy consumption mathematical model; The joint optimization module is used to obtain the energy consumption of each device in the current computer room, calculate the energy consumption of each device in the current computer room through the target energy consumption mathematical model, and obtain the current total energy consumption. When the current total energy consumption is much greater than the preset energy consumption threshold, the historical cooling load range of each device is obtained, the maximum cooling load of the historical cooling load range is extracted, and the devices are divided into first energy-influencing devices and second energy-influencing devices according to the maximum cooling load and the preset cooling load threshold. The total energy consumption difference is calculated according to the current total energy consumption and the preset energy consumption threshold. When the total energy consumption difference is greater than the target energy consumption threshold, the maximum cooling load of the historical cooling load range is extracted, and the devices are divided into first energy-influencing devices and second energy-influencing devices according to the maximum cooling load and the preset cooling load threshold. When the energy consumption parameter of the first device affecting energy consumption is adjusted, and when the energy consumption difference between the adjusted total energy consumption and the preset energy consumption threshold is less than the target energy consumption threshold, the energy consumption parameter of the second device affecting energy consumption is adjusted, and the iterative processing is performed in the above manner through the preset global optimization algorithm to obtain an energy consumption set. After reaching the preset number of times, the minimum energy consumption in the energy consumption set is extracted, and the working status of the current computer room is obtained according to the minimum energy consumption, wherein the first device affecting energy consumption refers to the device that has a great impact on the energy consumption of the current computer room, and the second device affecting energy consumption refers to the device that has a small impact on the energy consumption of the current computer room.

2. The high-efficiency computer room control system according to claim 1, characterized in that: The joint optimization module is used to calculate the preset demand cooling load of the specified area within a preset time interval through the target cooling load detection device, obtain the current cooling load of each device in the current computer room when it is in operation, and when the current cooling load does not meet the preset demand cooling load, calculate the cooling load difference based on the current cooling load and the preset demand cooling load, determine the cooling load adjustment strategy based on the cooling load difference, adjust the cooling parameters of each device in the current computer room according to the cooling load adjustment strategy until the cooling load of each device after adjustment meets the preset demand cooling load, and solve the working state of the current computer room when the total energy consumption is lowest through the target energy consumption mathematical model according to the preset global optimization algorithm.

3. The high-efficiency computer room control system according to claim 1, characterized in that: The control system of the efficient computer room further includes a model building module; The model building module is used to obtain characteristic information of each device in the current computer room and build an energy consumption mathematical model corresponding to each device according to the characteristic information; The model building module is further configured to build a target energy consumption mathematical model of the current computer room according to the energy consumption mathematical model and the association relationship between the various devices.

4. The high-efficiency computer room control system according to claim 1, characterized in that: The control system of the said high-efficiency computer room also includes a selection module, and each device includes a refrigeration host, a cooling tower, a water pump, an energy valve, a plate heat exchanger, a terminal device and a water processor; The selection module is also used to obtain the type of each device, match the type of each device with the target high-efficiency selection rules, select the refrigeration host, cooling tower, water pump, energy valve, plate heat exchanger, terminal device and water processor from several devices according to the matching results, and then continue to execute the steps of obtaining the real-time operating parameters of each device in the current computer room and setting the operating status of each device according to the real-time operating parameters.

5. The high-efficiency computer room control system according to claim 4, characterized in that: The selection module is further configured to obtain a corresponding high-efficiency refrigeration host selection rule based on the matching result, obtain a load analysis configuration fixed frequency conversion ratio, a host national standard operating performance requirement, a host variable flow performance parameter, and user demand information based on the high-efficiency refrigeration host selection rule, preliminarily select a number of refrigeration hosts from the plurality of device information based on the load analysis configuration fixed frequency conversion ratio, the host national standard operating performance requirement, and the host variable flow performance parameter, and select a refrigeration host from the plurality of refrigeration hosts based on the user demand information; The selection module is further configured to obtain a corresponding high-efficiency cooling tower selection rule based on the matching result, obtain energy information, motor power information, target flow rate water distribution strategy, wide-band frequency conversion range, noise control index, air intake demand and exhaust demand based on the high-efficiency cooling tower selection rule, and select a cooling tower from the plurality of devices based on the energy information, motor power information, target flow rate water distribution strategy, wide-band frequency conversion range, noise control index, air intake demand and exhaust demand; The selection module is further configured to obtain a corresponding high-efficiency water pump selection rule based on the matching result, obtain variable frequency motor parameters, flow demand parameters, and water pump head parameters based on the high-efficiency water pump selection rule, and select a water pump from the plurality of devices based on the variable frequency motor parameters, flow demand parameters, and water pump head parameters; The selection module is further configured to obtain a corresponding high-efficiency energy valve selection rule based on the matching result, obtain a dynamic and static hydraulic balance standard and a temperature difference control strategy for the air-conditioning system based on the high-efficiency energy valve selection rule, and select an energy valve from the plurality of devices based on the dynamic and static hydraulic balance standard and the temperature difference control strategy for the air-conditioning system; The selection module is further configured to obtain a corresponding high-efficiency plate heat exchanger selection rule based on the matching result, obtain a total heat transfer coefficient, heat transfer efficiency, logarithmic mean temperature difference, number of plates, and heat exchange area based on the high-efficiency plate heat exchanger selection rule, and select a plate heat exchanger from the plurality of devices based on the total heat transfer coefficient, heat transfer efficiency, logarithmic mean temperature difference, number of plates, and heat exchange area; The selection module is further configured to obtain a corresponding high-efficiency terminal device selection rule based on the matching result, obtain a target model, heat exchange capacity information, surface cooler coil material information, and water pressure drop information based on the high-efficiency terminal device selection rule, and select a terminal device from the plurality of devices based on the target model, heat exchange capacity information, surface cooler coil material information, and water pressure drop information; The selection module is also used to obtain corresponding high-efficiency water processor selection rules based on the matching results, obtain the side stream physical and chemical form and water flow rate based on the high-efficiency water processor selection rules, and select a water processor from the multiple devices based on the side stream physical and chemical form and water flow rate.

6. The high-efficiency computer room control system according to claim 1, characterized in that: The control system of the high-efficiency computer room also includes a high-efficiency computer room judgment module; The high-efficiency computer room judgment module is used to calculate the comprehensive energy efficiency of the current computer room based on the total cooling capacity of the current computer room and the energy consumption of each device. When the comprehensive energy efficiency is greater than a preset comprehensive energy efficiency threshold, the current computer room is determined to be a high-efficiency computer room, and the controlled variable parameters are determined according to the working state of the current computer room when the total energy consumption is the lowest, and the controlled variable parameters are sent to the target PLC controller.

7. The high-efficiency computer room control system according to claim 6, characterized in that: The control system of the high-efficiency computer room also includes a monitoring module and a diagnostic module; The monitoring module is configured to perform real-time monitoring of the current computer room, generate a corresponding equipment operation report based on the monitoring results, analyze the working efficiency of the current computer room based on the equipment operation report, and send the equipment operation report to the diagnosis module when the working efficiency is less than a preset efficiency threshold; The diagnostic module is configured to diagnose the equipment operation report according to the target artificial intelligence algorithm, obtain efficiency influencing factors, generate an efficiency improvement strategy according to the target knowledge base and the efficiency influencing factors, and send the efficiency improvement strategy to the joint optimization module; The joint optimization module is further used to adjust the operating status of each device according to the efficiency improvement strategy.

8. A high-efficiency computer room control method, characterized in that: The control method of the high-efficiency computer room is applied to the control system of the high-efficiency computer room according to any one of claims 1 to 7, wherein the system comprises: an operation state setting module, a joint optimization module, a variable parameter determination module, and a target PLC controller connected in sequence; the method comprises: The operation status setting module obtains the real-time operation parameters of each device in the current computer room and sets the operation status of each device according to the real-time operation parameters; The joint optimization module solves the working state of the current computer room when the total energy consumption is lowest based on the target energy consumption mathematical model and the preset required cooling load; The variable parameter determination module determines the controlled variable parameters according to the working state of the current computer room when the total energy consumption is the lowest, and sends the controlled variable parameters to the target PLC controller; The target PLC controller adjusts the operating state of each device according to the controlled variable parameters, so that the current computer room operates efficiently in the adjusted state; The joint optimization module calculates the preset required cooling load of the specified area within the preset time interval through the target cooling load device, and solves the working state of the current computer room when the total energy consumption is lowest according to the preset global optimization algorithm and the preset required cooling load through the target energy consumption mathematical model; The joint optimization module obtains the energy consumption of each device in the current computer room, calculates the energy consumption of each device in the current computer room through the target energy consumption mathematical model, and obtains the current total energy consumption. When the current total energy consumption is much greater than the preset energy consumption threshold, the historical cooling load range of each device is obtained, the maximum cooling load of the historical cooling load range is extracted, and the devices are divided into first energy-influencing devices and second energy-influencing devices according to the maximum cooling load and the preset cooling load threshold. The total energy consumption difference is calculated according to the current total energy consumption and the preset energy consumption threshold. When the total energy consumption difference is greater than the target energy consumption threshold, the energy consumption difference is calculated. , adjust the energy consumption parameters of the first energy-consuming device, and when the energy consumption difference between the adjusted total energy consumption and the preset energy consumption threshold is less than the target energy consumption threshold, adjust the energy consumption parameters of the second energy-consuming device, and iterate in the above manner through the preset global optimization algorithm to obtain an energy consumption set. After reaching the preset number of times, extract the minimum energy consumption in the energy consumption set, and obtain the working status of the current computer room based on the minimum energy consumption, wherein the first energy-consuming device refers to the device that has a great impact on the energy consumption of the current computer room, and the second energy-consuming device refers to the device that has a small impact on the energy consumption of the current computer room.

Images