Integrated tuning system and method based on data center heating and ventilation control

Abstract

The invention discloses an integrated adjusting and optimizing system and method based on data center heating and ventilation control, and relates to the field of heating and ventilation control. The integrated adjusting and optimizing system is characterized in that heating and ventilation equipment operation simulation processing is carried out by utilizing a visual human-computer interface and a fault simulation scene conversion technology; obtaining an operation safety value of the heating and ventilation equipment in the operation process based on the simulation result; the method comprises the following steps: analyzing an energy efficiency index of a data center after acquiring a tail end load change in real time by using a dynamic environment monitor, and acquiring an operation energy-saving value of heating and ventilation equipment according to the energy efficiency index of the data center and an adjusting and optimizing controller; based on the operation safety value and the operation energy-saving value of the heating and ventilation equipment, the operation state of the heating and ventilation equipment in the data center is controlled, and centralized monitoring and management are achieved. Through the visual human-computer interface, the controller, the human-computer interface and the like are organically combined together to carry out comprehensive management on architecture design, construction and maintenance processes of the heating and ventilation control system of the data center, and architecture upgrading of the heating and ventilation system of the data center is achieved.

Description

Technical Field

[0001] The present invention relates to the field of HVAC control, and more specifically, to an integrated optimization system and method for HVAC control in a data center. Background Art

[0002] With the rapid economic development, the construction scale of data centers has shown a rapid growth trend. The electricity consumption of data centers will reach 200 billion kWh, accounting for 2% of the total electricity consumption. With the rapid growth of business demands such as cloud computing, Internet Plus, and intelligent computing, the construction of data centers is gradually developing towards the direction of ultra-large scale, high concentration, and green energy conservation. Traditional infrastructure management can no longer meet the needs of refined operation and maintenance under the new situation. Therefore, it is necessary to upgrade the structure and function of the traditional infrastructure management system to meet the construction operation and maintenance management needs and safe and low-carbon operation under the new situation.

[0003] Based on the existing design specifications, it is clear that there should be an HVAC control system, but there is no clear guidance on the system architecture of HVAC control in data centers, resulting in the fact that the hardware of mechanical and electrical engineering has reached a relatively high level, while the construction level of the HVAC control system is very low. In recent years, various fault situations in data centers have proved that the hierarchical mismatch of the HVAC control system poses a major hidden danger to the stable operation of data centers. The main problems can be summarized as the mismatch between the hardware configuration of the HVAC control system and the hardware configuration level of mechanical and electrical engineering, and the lack of a clear high-reliability power control system design for the HVAC control system.

[0004] The start-stop, output percentage, temperature setting, and temperature difference setting of each device in the data center HVAC control system are all manually set according to experience. These manual settings cannot achieve the optimal value for the optimization of the energy efficiency of the data center, with large delays, large inertia, and the inability to make dynamic adjustments according to environmental changes and changes in the machine room load rate, resulting in huge energy consumption losses during the operation of the data center.

[0005] For the problems in the related art, no effective solutions have been proposed yet. Summary of the Invention

[0006] In view of the problems in the related art, the present invention proposes an integrated optimization system and method for HVAC control in a data center to overcome the above-mentioned technical problems existing in the existing related art.

[0007] To this end, the specific technical solutions adopted by the present invention are as follows: In a first aspect, the present invention provides an integrated optimization system for HVAC control in a data center, and the integrated optimization system includes: An operation simulation visualization management unit is used to perform operation simulation processing of HVAC equipment by using a visual human-machine interface and a fault simulation scenario conversion technology, and obtain the operation safety value of the HVAC equipment during operation based on the simulation results; A data center optimization working unit is used to use a dynamic environment monitor to obtain data center energy efficiency indicators in real time after the end load changes, and obtain the operation energy-saving value of the HVAC equipment according to the data center energy efficiency indicators and an optimization controller; A data center energy control unit is used to control the operation state of the HVAC equipment in the data center based on the operation safety value and the operation energy-saving value of the HVAC equipment, and achieve centralized monitoring and management.

[0008] Preferably, the operation simulation visualization management unit includes: A fault simulation operation test module is used to perform equipment fault switching and unit controller fault switching tests according to a set operation mode, and display the test results on the visual human-machine interface; An equipment loading and unloading test module is used to perform loading and unloading tests on air conditioners, cooling pumps, chilled water pumps and cooling towers according to a set operation frequency, and display the test results on the visual human-machine interface; A switch mode switching polling module is used to simulate the switching process of turning on and off under a set mode of a chiller, obtain the switching process of the HVAC equipment under different modes, and perform polling operation processing on the equipment according to the operation time; An operation safety value acquisition module is used to obtain the operation safety value of the HVAC equipment during operation based on the test results of the fault simulation operation test module, the equipment loading and unloading test module and the switch mode switching polling module.

[0009] Preferably, the data center optimization working unit includes: A dynamic environment monitoring and warning module is used to collect and integrate the environmental data collected by sensors in the HVAC equipment machine room, and send an intelligent reminder when the environmental data exceeds the normal range; An optimization data flow construction module is used to perform data sharing operations among a nebula server, a data center energy control unit and a dynamic environment monitoring and warning module by using a network management sharing protocol, and construct an optimization data flow according to the data sharing results; A control strategy optimal value calculation module is used to obtain the dynamic environment end load change and the data center energy efficiency indicator according to the optimization data flow, and calculate the optimal operation energy-saving value in combination with an optimization controller.

[0010] Preferably, the data center energy control unit includes: The main and standby group control controller module is used to combine the operation status data of the HVAC equipment with the preset rule algorithm by using the main group control controller for equipment operation deployment processing, and start the standby group control controller to take over the deployment work when the main group control controller has an initial failure; The equipment unit controller module is used to control the operation status of the HVAC equipment according to the operation safety value and the operation energy saving value, and feedback the operation status to the main and standby group control controller for comprehensive coordination and management of the HVAC equipment.

[0011] In a second aspect, the present invention also provides an integrated optimization method for HVAC control based on a data center. The integrated optimization method includes: Performing HVAC equipment operation simulation processing by using a visual human-machine interface and a fault simulation scenario conversion technology, and obtaining the operation safety value of the HVAC equipment during operation based on the simulation results; Using a dynamic environment monitor to obtain the analysis data of the end load change in real time and analyze the energy efficiency index of the data center, and obtaining the operation energy saving value of the HVAC equipment according to the energy efficiency index of the data center and the optimization controller; Based on the operation safety value and the operation energy saving value of the HVAC equipment, controlling the operation status of the data center HVAC equipment to achieve centralized monitoring and management.

[0012] The beneficial effects of the present invention are as follows: 1. Through the visual human-machine interface, the present invention organically combines the controller, the human-machine interface, etc. to comprehensively manage the architecture design, construction and maintenance process of the data center HVAC control system, realizes the architecture upgrade of the data center HVAC system, the refined management of high-quality construction and operation and maintenance, dynamically adjusts the settable parameters of the system through the optimization workstation, achieves dynamic optimization of energy efficiency, reduces the energy consumption of the data center, reduces the PUE, and realizes the energy saving goal.

[0013] 2. Through the visual human-machine interface, the present invention organically combines the control system and the signal simulation system, etc. to comprehensively manage the architecture design, construction and maintenance process of the data center HVAC control system, realizes the architecture upgrade of the data center HVAC system, the refined management of high-quality construction and operation and maintenance, dynamically adjusts the settable parameters of the system through the optimization workstation, achieves dynamic optimization of energy efficiency, reduces the energy consumption of the data center, reduces the PUE, and realizes the energy saving goal. Description of the Drawings

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0015] Figure 1 is a schematic block diagram of an integrated optimization system for data center HVAC control according to an embodiment of the present invention; Figure 2 is a flowchart of an integrated optimization method for data center HVAC control according to an embodiment of the present invention; Figure 3 is an architecture diagram of an integrated optimization system for data center HVAC control according to an embodiment of the present invention; Figure 4 is a physical diagram of the human-machine interface in an integrated optimization system for data center HVAC control according to an embodiment of the present invention; Figure 5 is a virtual diagram of the human-machine interface in an integrated optimization system for data center HVAC control according to an embodiment of the present invention; Figure 6 is one of the operation interface diagrams of the optimization workstation in an integrated optimization system for data center HVAC control according to an embodiment of the present invention; Figure 7 is the second operation interface diagram of the optimization workstation in an integrated optimization system for data center HVAC control according to an embodiment of the present invention; Figure 8 is an architecture diagram of the data center optimization work unit in an integrated optimization system for data center HVAC control according to an embodiment of the present invention.

[0016] In the figure: 1. Operation simulation visualization management unit; 2. Data center optimization work unit; 3. Data center energy control unit. Detailed implementation manners

[0017] To further illustrate the embodiments, the present invention provides accompanying drawings, which are part of the disclosure of the present invention. These drawings are mainly used to illustrate the embodiments and can be used to explain the operation principle of the embodiments in conjunction with the relevant descriptions in the specification. With reference to these contents, those of ordinary skill in the art should be able to understand other possible implementation manners and the advantages of the present invention.

[0018] According to an embodiment of the present invention, an integrated optimization system and method for data center HVAC control are provided.

[0019] Now, the present invention will be further described in conjunction with the accompanying drawings and specific implementation manners. As Figure 1 shown in Figure 3 the integrated optimization system for data center HVAC control according to an embodiment of the present invention includes: The operation simulation visualization management unit 1 is used to perform operation simulation processing of HVAC equipment by using a visual human-machine interface and a fault simulation scenario conversion technology, and obtain the operation safety value of the HVAC equipment during operation based on the simulation results.

[0020] In this embodiment, the operation simulation visualization management unit 1 includes: a fault simulation operation test module, which is used to perform equipment fault switching and unit controller fault switching tests according to the set operation mode, and display the test results on the visual human-machine interface; an equipment loading and unloading test module, which is used to perform loading and unloading tests on air conditioners, cooling pumps, chilled water pumps, and cooling towers according to the set operation frequency, and display the test results on the visual human-machine interface; a switch mode switching polling module, which is used to simulate the on-off process of the chiller under the set mode, obtain the switching process of the HVAC equipment under different modes, and perform polling operation processing on the equipment according to the operation time; an operation safety value acquisition module, which is used to obtain the operation safety value of the HVAC equipment during operation based on the test results of the fault simulation operation test module, the equipment loading and unloading test module, and the switch mode switching polling module.

[0021] Specifically, equipment fault switching includes chiller fault switching, chilled water pump fault switching, cooling pump fault switching, and cooling tower fault switching; unit controller fault switching includes dual-machine hot standby switching of the group control controller and power-off switching of the unit controller.

[0022] Among them, when obtaining the switching process of the HVAC equipment under different modes, a mode switching process can be preset in advance, and the equipment switching rules can be determined according to the switching process; perform mode switching according to the equipment switching rules, and analyze the outdoor air wet-bulb temperature and the actions of the chilled water valve and the cooling water valve under each set mode based on the switching process. The mode switching process includes switching from the chiller cooling mode to the pre-cooling mode, switching from the pre-cooling mode to the free cooling mode, switching from the free cooling mode to the pre-cooling mode, and switching from the pre-cooling mode to the chiller cooling mode. The equipment switching rules include the outdoor air wet-bulb temperature, the operating frequency of the cooling tower fan, and the number of HVAC units.

[0023] Such as Figure 4 And Figure 5As shown in the figure, it should be noted that the visualized human-machine interface designed in this embodiment comprehensively manages the equipment, human resources, and maintenance processes of the data center through visualization and data analysis means. By integrating the control system and signal simulation system through a comprehensive management platform, functions such as the addition and subtraction of loads of the refrigeration unit in the HVAC control system, equipment failure switching, dual-machine hot standby switching of the group control controller, power-off switching of the unit controller, addition and subtraction of loads of the chilled water pump, cooling water pump, and cooling tower; automatic polling, charging and discharging of the chilled water storage tank, and common mode switching functions can be achieved. The visualized human-machine interface designed in this embodiment creates a visualized system interface according to the HVAC system of the data center. In order to more vividly display it on the display board, the HVAC system is directly spray-painted and pasted on the display board, and electronic components are arranged on the display board to simulate equipment such as chilled water pumps, cooling water pumps, chillers, and cooling towers. At the same time, electronic components are set on the display board to simulate the key temperature, differential pressure, and current ratio of the chiller.

[0024] The specific functions of the visualized human-machine interface proposed in this embodiment are as follows: 1. Simulation of digital input / output valves: The on-site digital input / output valves are indicated by red and green dual-color indicator lights. Red indicates that the digital input / output valve is in the closed state (the indication direction is perpendicular to the pipeline), and green indicates that the digital input / output valve is in the open state (the indication direction is the same as the pipeline); 2. Simulation of analog valves: The opening feedback of the valve is displayed using an LED digital tube; 3. Simulation of chillers, cooling water pumps, chilled water pumps, and cooling towers: Green indicator lights are installed on each device. When the indicator light is on, it means the device is in the running state, and when it is off, it means the device is in the closed state. To simulate the device failure state, a button with an indicator light is added next to each device. Pressing the button means the device fails (the red indicator light lights up and the button is locked). Pressing the button again, the button pops up (the indicator light goes out) and the fault is reset; 4. Two control interfaces are set for the chilled water pump, connected to the main group control controller and the standby controller, facilitating the simulation of the main and standby switching of the group control unit controller; 5. An electronic component for simulating the current ratio of the chiller is added next to the chiller, and the adjustment knob can achieve the simulation of the chiller current ratio; 6. A small temperature and humidity module is installed next to the display board, and the on-site temperature and humidity are read through the gateway for simulating the outdoor temperature and humidity; 7. The system simulated on the display board cannot access real differential pressure sensors and chiller gateways. The chilled water temperature, cooling water temperature, and terminal chilled water differential pressure are simulated through a potentiometer.

[0025] Install LED digital tubes on the display board to display analog information such as analog temperature, differential pressure, and analog valve opening through the digital tubes. Adjust the potentiometer to simulate the differential pressure of the chilled water at the end to verify the frequency control of the chilled water pump / the effectiveness of adding or subtracting machines to the water pump. Adjust the potentiometer to simulate the current ratio of the chiller to verify whether the chiller can add or subtract machines according to the current ratio. The indicator lights, digital tubes, potentiometers, etc. are all connected to the unit controller in a hard-wired manner, and the unit controller monitors all components on the display board. Specifically, the visual human-machine interface can implement verification and simulation of the loading and unloading of the refrigeration unit; equipment failure switching, etc. Specifically, it includes the following steps: (1)One-key power-on and power-off test: As shown in Table 1, when the refrigeration unit is powered on in the refrigeration mode, the chiller operates in the refrigeration mode, the plate heat exchanger is in the closed state, the electric valves on the cooling side and the chilled water side of the chiller are open, the electric valves on the cooling side and the chilled water side of the plate heat exchanger are closed, V1 and V2 on the chilled water side loop are open, V3 and V4 are closed; V5 and V6 on the cooling side loop are open, CV-e and CV-f are closed. The chiller adjusts its own load to ensure that the chilled water supply temperature on the chilled water side is 15°C. When shutting down, first shut down the chiller, then shut down the cooling pump and the cooling tower. After the cooling pump and the cooling tower are shut down, close the inlet valve and the outlet valve of the cooling tower; shut down the chilled water pump and the valves on the chilled water and cooling sides of the chiller, and finally shut down the chiller. The shutdown process ends:

[0026] (2)Loading and unloading of the refrigeration unit: As shown in Table 2 and Table 3, when the current percentage of the operating chiller reaches the set upper limit of 90% (adjustable) for up to 10 minutes (adjustable), the group controller starts an additional chiller with the shortest cumulative operating time; when the current percentage of the operating chiller reaches the set lower limit of 40% (adjustable) for up to 10 minutes (adjustable), the group controller selects and shuts down a chiller with the longest operating time according to the operating time: ;

[0027] (3)Equipment failure switching: 1. Chiller failure switching: As shown in Table 4, if the currently operating chiller fails, the faulty chiller shuts down, and the valves on the chilled water and cooling sides of the chiller are closed after a delay. The group control executes the chiller failure switching operation, starts the chiller ranked 1 currently, first opens the valves on the chilled water and cooling sides of the chiller, and starts the chiller after the valves on the chilled water and cooling sides are fully opened:

[0028] Simulate a fault of the No. 3 chiller on-site. After pressing the fault button of the No. 3 chiller, the sorting of the No. 3 chiller becomes 10. The No. 3 chiller shuts down the fan and the inlet and outlet valves. At this time, the sorting of the No. 4 chiller is 1. Then, first open the outlet valve of the No. 4 chiller. After a 3s delay, open the inlet valve of the chiller. When the inlet and outlet valves are fully opened, start the chiller fan, and the chiller fault switching is completed. If the valves of the currently operating chiller cannot be fully opened normally, an alarm for inconsistent chiller valve status will be triggered after the timeout. At this time, this set of chillers is determined to be faulty, and the sorting is set to 10. The group control starts the chiller with the current sorting of 1. Note: Due to the limitations of the factory acceptance site conditions, the valve status feedback is not judged. The fault that the chiller cannot be started normally due to the valve not being in place for a long time is simulated during the actual test.

[0029] 2. Fault switching of the chilled water pump: As shown in Tables 5 and 6, the initial state of the chilled water pump is: the No. 1 chilled water pump is running, and the sorting is 1 (sorting of 1 means that this device is the first to be started). Press the fault button to simulate the fault of this device. At this time, the sorting of the faulty device becomes 10 (sorting of 10 means that this device is unavailable and will not be started when performing system startup, adding machines, etc.). The No. 1 chilled water pump enters the shutdown process, and the sorting of the No. 2 chilled water pump becomes 1, and the startup operation is performed. It takes 5 seconds for the No. 1 chilled water pump to shut down and 7 seconds for the No. 2 chilled water pump to start; on the basis of the No. 1 chilled water pump fault, continue to simulate the chilled water pump fault operation. Press the fault button of the No. 2 chilled water pump to simulate the fault. At this time, the sortings of the No. 1 and No. 2 chilled water pumps are both 10, the sorting of the No. 3 chilled water pump is 1, and the No. 3 chilled water pump performs the startup operation, and the No. 2 chilled water pump shuts down. The chilled water pump fault switching test is completed: ;

[0030] 3. Fault switching of the cooling water pump: As shown in Tables 7 and 8, if the current cooling water pump fails, start the cooling water pump with the sorting of 1; the initial state of the cooling water pump is: the No. 3 cooling water pump is running, and the sorting is 1 (sorting of 1 means that this device is the first to be started). Press the fault button to simulate the fault of this device. At this time, the sorting of the faulty device becomes 10 (sorting of 10 means that this device is unavailable and will not be started when performing system startup, adding machines, etc.). The No. 3 cooling water pump enters the shutdown process; the sorting of the No. 2 cooling water pump becomes 1, and the startup operation is performed. It takes 5 seconds for the No. 1 cooling water pump to shut down and 7 seconds for the No. 2 cooling water pump to start; on the basis of the No. 3 cooling water pump fault, continue to simulate the cooling water pump fault operation. Press the fault button of the No. 2 chilled water pump to simulate the fault. At this time, the sortings of the No. 1 and No. 2 cooling water pumps are both 10, the sorting of the No. 1 cooling water pump is 1, and the No. 1 cooling water pump performs the startup operation, and the No. 2 cooling water pump shuts down. The chilled water pump fault switching test is completed: ;

[0031] 4. Cooling tower fault switching: If a fault occurs in the currently operating cooling tower, the group control performs the fault switching operation of the cooling tower, closes the faulty cooling tower, and turns on a group of cooling towers sorted as 1 currently. First, open the cooling tower outlet valve, and then open the cooling tower inlet valve after a 3-second delay to prevent water overflow when the liquid level is high in the cooling tower due to the simultaneous opening of the inlet and outlet valves. After the inlet and outlet valves of the cooling tower are fully opened, turn on the cooling tower fan. Simulate a fault in Cooling Tower No. 3 on-site. After pressing the fault button of Cooling Tower No. 3, the sorting of Cooling Tower No. 3 becomes 10, and Cooling Tower No. 3 turns off the fan and the inlet and outlet valves; at this time, the sorting of Cooling Tower No. 4 is 1, so first open the outlet valve of Cooling Tower No. 4, and then open the cooling tower inlet valve after a 3-second delay. After the inlet and outlet valves are fully opened, turn on the cooling tower fan, and the cooling tower fault switching is completed. If the currently opened cooling tower valve cannot be fully opened normally, an alarm of inconsistent cooling tower valve status will be triggered after the timeout. At this time, this set of cooling towers is determined to be faulty, the sorting is set to 10, and the group control turns on the cooling tower sorted as 1 currently.

[0032]

[0033] (4)Unit controller fault test: 1. Dual-machine hot standby switching of the group control controller: Simulate a power failure of the primary group control unit controller on-site. The system was operating normally before the power failure. Chiller No. 2 was running, Cooling Towers No. 1 and 3 were running, Cooling Pumps No. 2 and 3 were running, and Chilled Water Pumps No. 2 and 4 were running. At this time, cut off the power of the primary group control controller. The on-site operating equipment is not affected. The valves controlled by the primary group control drop offline, but the valves will not act due to self-holding. At this time, change the set value of the terminal pressure difference, and the chilled water pump will be frequency-modulated by the standby group control. Other equipment operates normally, and the primary group control power failure test is completed. When the chilled water pump is controlled by the standby group control, cut off the power of the standby group control. The chilled water pump is taken over by the primary group control. Other on-site equipment operates normally. The valves controlled by the standby group control drop offline, but they will self-hold and have no action, which has no impact on the on-site operating equipment. The primary and standby group control switching test is completed.

[0034] 2. Power-off Switching of Unit Controllers: Simulate a power-off of the unit controller on-site, cut off the dual-circuit mains power supply of Unit Controller 1. At this time, the equipment controlled by Unit Controller 1 includes the 1# cooling pump. After Unit Controller 1 is powered off, the 1# cooling pump will maintain its current operating state. Meanwhile, the group control will perform a fault switching operation for the cooling pump and start the 4# cooling pump ranked 1 at this time. Simulate a power-off of the unit controller on-site, cut off the dual-circuit mains power supply of Unit Controller 2. At this time, the equipment controlled by Unit Controller 2 includes the 2# chiller. After Unit Controller 2 is powered off, the 2# chiller will maintain its current operating state. Meanwhile, the group control will perform a fault switching operation for the chiller and start the 3# chiller ranked 1 at this time. Simulate a power-off of the unit controller on-site, cut off the dual-circuit mains power supply of Unit Controller 3. Since all the equipment controlled by Unit Controller 3 is in a stopped state at this time, there is no action for the on-site equipment. Simulate a power-off of the unit controller on-site, cut off the dual-circuit mains power supply of Unit Controller 4. At this time, the equipment controlled by Unit Controller 4 includes the 4# cooling tower. After Unit Controller 4 is powered off, the 4# cooling tower will maintain its current operating state. Meanwhile, the group control will perform a fault switching operation for the cooling tower and start the 1# cooling tower ranked 1 at this time.

[0035] (5)Chilled Water Pump: As shown in Tables 10 and 11, for the chilled water pump to increase or decrease the load: When the frequency of the chilled water pump reaches the upper limit of 45 Hz (adjustable), and the time when the end differential pressure is less than the set value of -0.02 MPa (adjustable) is greater than 10 min (adjustable), then add a chilled water pump with a relatively shorter operating time. The initial operating frequency of the newly added chilled water pump runs at the frequency of the original chilled water pump. When the frequency of the chilled water pump reaches the lower limit of 30 Hz (adjustable), and the time when the end differential pressure is greater than the set value of +0.02 MPa (adjustable) is still greater than 10 min (adjustable), then shut down a chilled water pump with a relatively longer operating time.

[0036] Scenario 1: The initial operating frequency of the chilled water pump is 45 Hz, and the end differential pressure at this time is 0.8 bar. By adjusting the differential pressure set value, the differential pressure set value is adjusted to 1 bar. At this time, the chilled water pump starts to increase its frequency, and the frequency rises to 50 Hz. Scenario 2: The initial operating frequency of the chilled water pump is 34.9 Hz, and the actual end differential pressure at this time is 1 bar, and the differential pressure set value is also 1 bar. At this time, the chilled water pump maintains its current frequency operation, and the frequency after frequency modulation is 35 Hz, and the frequency remains unchanged. Scenario 3: The initial operating frequency of the chilled water pump is 50 Hz, and the actual end differential pressure at this time is 2.6 bar, and the differential pressure set value is set to 2.5 bar. At this time, the chilled water pump starts to operate at a reduced frequency, and the frequency after frequency reduction is 40 Hz.

[0037]

[0038] When the actual value of the terminal pressure difference is 0.8 bar and the set value of the pressure difference is set to 1.5 bar, the chilled water pump starts to increase its frequency. The frequency of the chilled water pump increases from 40 Hz to 50 Hz. At this time, the time for adding a pump to the chilled water pump is adjusted to 2 minutes. After 2 minutes, the operating chilled water pump runs at the highest frequency, and the actual value of the terminal pressure difference is still less than the set value, so the system adds another chilled water pump.

[0039] (6)Cooling water pump: As shown in Table 11, when the cooling water pump is adjusted using the ring network temperature difference, if the control frequency reaches the upper limit set value of the pump frequency, which is 45 Hz (adjustable), and the ring network temperature difference is higher than the set value -△T (adjustable) for a set time of 10 minutes (adjustable), then another cooling water pump is added; if the control frequency reaches the lower limit set value of the pump frequency, which is 30 Hz (adjustable), and the ring network temperature difference is lower than the set value +△T (adjustable) for a set time of 10 minutes (adjustable), then one cooling water pump is shut down; when the cooling water pump is adjusted using the minimum flow rate, if the control frequency reaches the upper limit set value of the pump frequency, which is 45 Hz, and the minimum flow rate parameter of the chiller is lower than the set value -△G (adjustable) for a set time of 10 minutes, then another cooling water pump is added; if the frequency of the cooling water pump reaches the lower limit set value of the pump frequency, which is 30 Hz (adjustable), and the minimum flow rate parameter of the chiller is greater than the set value +△G (adjustable) for a set time of 10 minutes, then one cooling water pump is shut down.

[0040]

[0041] (7)Mains power outage: Simulate the mains power outage of a single device. The sorting of this device is set to 10, and the device enters the unready state, and a fault switchover is performed on this device. If all four chillers are powered off, the chilled water pump keeps running. As the temperature of the chilled water rises and is greater than the set value of the cold storage tank discharging temperature, the cold storage tank then enters the discharging mode, and the chilled water pump keeps running.

[0042] (8)Cooling tower: As shown in Table 13 and Table 14, when the highest temperature of the ring network at the outlet of the cooling water pump is greater than the set value +△t, and the frequency of the cooling tower fan has reached the upper limit of 45 Hz (adjustable) for 10 minutes (adjustable), then another cooling tower with a shorter running time is added; when the supply water temperature of the cooling water is less than the set value -△t (adjustable); the frequency of the cooling tower fan has reached the lower limit of 30 Hz (adjustable) for 10 minutes (adjustable), then one cooling tower with the longest running time is shut down. When the number of operating cooling towers is reduced to 1, if the above-mentioned tower reduction condition is triggered, then one sub-tower fan is shut down (the inlet and outlet valves remain open). If the tower reduction condition is triggered again, then the other sub-tower fan is shut down (the inlet and outlet valves remain open): ;

[0043] When the actual value of the ring network temperature is 35°C and the set value of the ring network temperature is set to 33°C, the cooling tower starts to increase its frequency at this time. The frequency of the chilled water tower increases from 35 Hz to 45 Hz. At this time, the tower addition time of the cooling tower is adjusted to 2 minutes. After 2 minutes, the operating cooling tower runs at the highest frequency. The actual ring network temperature is still higher than the set temperature value, and the system adds another operating cooling tower. When the actual value of the ring network temperature is 30°C and the set value of the ring network temperature is set to 33°C, the cooling tower starts to decrease its frequency at this time. The frequency of the chilled water tower decreases from 35 Hz to 30 Hz. The tower reduction time of the cooling tower is adjusted to 2 minutes. After 2 minutes, the operating cooling tower runs at the lowest frequency. The actual ring network temperature is still lower than the set temperature value, and the system shuts down one cooling tower.

[0044] (9)Mode Switching: 1. Switching from the refrigeration mode of the chiller to the pre-cooling mode: It is switched according to the outdoor air wet-bulb temperature Tw, the operating frequency and number of cooling tower fans. Simulate that the outdoor wet-bulb temperature T / sh is less than the set temperature value. At this time, the on-site CT3 is in the operating state with the lowest frequency, and at the same time, the number of operating cooling towers is equal to the number of operating chillers. The system meets the requirements for switching to the pre-cooling mode. After a delay, the group controller issues an alarm to remind the operator that they can enter the pre-cooling mode. After confirming to enter the pre-cooling mode, the cooling side valves act: the plate heat exchanger cooling side valves open. After all the valves on the cooling side of the plate heat exchanger are fully open, the electric valves (V5, V6) of the bypass pipe between the inlet ring network and the outlet ring network of the plate heat exchanger close; the chilled water side valves act: the plate heat exchanger chilled water side valves open. After all the valves on the chilled water side of the plate heat exchanger are fully open, the electric valves (V1, V2) of the bypass pipe between the inlet ring network and the outlet ring network of the plate heat exchanger close, and the switching from the refrigeration mode to the pre-cooling mode is completed.

[0045] 2. Switching from the pre-cooling mode to the free cooling mode: It is switched according to the outdoor air wet-bulb temperature Tw, the operating frequency and number of cooling tower fans. Simulate that the outdoor wet-bulb temperature T / sh is less than the set temperature value. At this time, the operating frequency of the on-site operating cooling tower is the lowest frequency, and at the same time, the number of operating cooling towers is equal to the number of operating chillers. The system meets the requirements for switching to the free cooling mode. After a delay, the group controller issues an alarm to remind the operator that they can enter the free cooling mode. When the system confirms to enter the free cooling mode, the group control shuts down the operating refrigeration units; the electric valves V3, V4 between the inlet ring network and the outlet ring network of the chiller on the chilled water side open; the electric valves CV-e, CV-f between the inlet ring network and the outlet ring network of the chiller on the cooling side open; the valves on the chilled water and cooling sides of the chiller close, and the system successfully switches from the pre-cooling mode to the free cooling mode.

[0046] 3. Switch from natural cooling mode to pre-cooling mode: The system is currently operating in natural cooling mode. All the ready cooling tower fans are in the on state and running at the highest frequency, and all the cooling pumps are running at the highest frequency. At this time, the highest temperature of the chilled water supply main pipe is higher than the temperature set value, and the duration meets the requirements. At this time, the group control issues a command to enter the pre-cooling mode and simultaneously issues an alarm to notify the operation and maintenance personnel that the system enters the pre-cooling mode from natural cooling; Valve actions on the cooling side: The valves on the cooling side of the plate heat exchanger are opened. After all the valves on the cooling side of the plate heat exchanger are fully opened, the motorized valves (V5, V6) of the bypass pipe between the inlet ring network and the outlet ring network of the plate heat exchanger are closed; Valve actions on the chilled water side: The valves on the chilled water side of the plate heat exchanger are opened. After all the valves on the chilled water side of the plate heat exchanger are fully opened, the motorized valves (V1, V2) of the bypass pipe between the inlet ring network and the outlet ring network of the plate heat exchanger are closed. The switch from the refrigeration mode to the pre-cooling mode is completed. At this time, the group control will judge the number of operating chillers and other equipment according to the refrigeration demand and perform chiller addition and subtraction operations according to the set value of the chiller addition and subtraction current ratio.

[0047] 4. Switch from pre-cooling mode to chiller refrigeration mode: The switch is made according to the comparison between the cooling tower fan frequency, the cooling pump frequency, and the highest temperature of the chilled water supply main pipe and the set value. The system is currently operating in the pre-cooling mode. The highest temperature of the cooling water inlet of the plate heat exchanger is greater than the lowest temperature of the chilled water inlet of the plate heat exchanger, and the duration meets the requirements. Then, all the motorized valves on the chilled water side of the plate heat exchanger are closed, and the valves on the cooling side remain open at this time; The cooling tower frequency is increased to the highest frequency, and at the same time, the number of operating cooling towers reaches the upper limit; After the delay time, the group controller issues a signal to exit the pre-cooling mode. The system enters the refrigeration mode from the pre-cooling mode. At the same time, an alarm is issued to notify the operation and maintenance personnel that the system enters the refrigeration mode from the pre-cooling mode, and the motorized valves V1 and V2 between the inlet ring network and the outlet ring network of the chilled water side of the plate heat exchanger are opened, and the motorized valves V-5 and V-6 between the inlet ring network and the outlet ring network of the cooling side of the plate heat exchanger are opened.

[0048] (10) Automatic polling: The status of the devices participating in the polling must not be in the maintenance mode. The group control performs polling operations on various devices according to the running time; Cooling tower polling: Cooling tower #3 meets the polling requirements. At this time, the group control turns on Cooling tower #2. When the group control receives the running status feedback of Cooling tower #2, it determines that the startup is successful and turns off Cooling tower #3, and the cooling tower polling operation ends; Chilled water pump polling: Chilled water pump #1 meets the polling requirements. At this time, the group control turns on Chilled water pump #4. When the group control receives the running status feedback of Chilled water pump #4, it determines that the startup is successful and turns off Chilled water pump #1, and the chilled water pump polling operation ends; Chiller polling: Chiller #2 meets the polling requirements. At this time, the group control issues an order to turn on Chiller #3. The valves on the chilled and cooling sides of Chiller #3 are opened. After the valves are fully opened, Chiller #3 is turned on; When the group control receives the running status feedback of Chiller #3, Chiller #2 enters the shutdown process, and the chiller polling operation ends; Cooling water pump polling: Cooling water pump #4 meets the polling requirements. At this time, the group control turns on Cooling water pump #2. When the group control receives the running status feedback of Cooling water pump #2, it determines that the startup is successful and turns off Cooling water pump #4, and the cooling water pump polling operation ends; The operator can select to start or stop the device without relying on the time-based polling. During automatic polling, when the polling conditions are met, a polling request is sent. After the operator confirms, the polling action is entered; otherwise, the polling action is not performed, and the operator is guided to confirm.

[0049] (11) Cold storage tank charging and discharging: Cold storage tank discharging mode: When the dual-circuit mains power fails, the cold storage tank enters the discharging mode. After the chiller is turned on, the chilled water outlet temperature is relatively high, at 17.8°C, which is higher than the set value of 16.5°C. Then the group control should control the cold storage tank to enter the discharging mode. After the chilled water temperature of the chiller drops to the charging temperature set value, the cold storage tank enters the charging mode; When the dual-circuit mains power fails, there is no device available to start the chiller, and there is no device available to start the cooling water pump, the cold storage tank will automatically enter the discharging mode. After the cold storage tank enters the discharging mode, the electric control valves CV-a and CV-b are opened, CV-c and CV-d are opened, and the electric control valves CV-3 and CV-4 are closed, and the discharging mode switching is successful. Cold storage tank charging mode: It is determined according to the outlet temperature of the cold storage tank and the supply water temperatures on both sides of the chilled water loop pipe in the refrigeration station. When the chiller resumes normal operation, at this time the chilled water outlet temperature of the chiller is 14°C, which is lower than 15.5 degrees (adjustable), and the system enters the charging mode. The cold storage tank is charged by adjusting the opening degrees of CV-3 and CV-4. The electric control valves CV-a and CV-b are opened, CV-c and CV-d are closed, and the opening degrees of the electric control valves CV-3 and CV-4 are adjusted by PID according to the charging flow set value and the maximum opening degree set value of the valve.

[0050] (12) Server dual hot standby: The master and standby servers in the group control are connected by a heartbeat line. At this time, the dual-circuit commercial power supply of the master server is cut off to simulate the disconnection of the master server. After the standby server detects the disconnection of the master server through the heartbeat line, the control system migrates to the standby server for operation. At this time, all devices on the human-machine interface will remain in their original states without being affected. When the standby server starts successfully, the system on the human-machine interface returns to normal, the refrigeration system remains in a normal operating state, all devices can be controlled normally, all information can be collected normally, and the dual-machine hot standby test of the server is completed.

[0051] The data center optimization working unit 2 is used to analyze the energy efficiency index of the data center by using the dynamic environment monitor to obtain the change of the end load in real time, and obtain the operation energy-saving value of the HVAC equipment according to the energy efficiency index of the data center and the optimization controller.

[0052] In this embodiment, the data center optimization working unit 2 includes: The dynamic environment monitoring and warning module is used to collect and integrate the environmental data collected by the sensors in the HVAC equipment machine room, and send an intelligent reminder when the environmental data exceeds the normal range. The optimization data flow construction module is used to perform data sharing operations among the nebula server, the data center energy control unit and the dynamic environment monitoring and warning module by using the network management sharing protocol, and construct an optimization data flow according to the data sharing result. The optimal value calculation module of the control strategy is used to obtain the change of the dynamic environment end load and the energy efficiency index of the data center according to the optimization data flow, and calculate the optimal operation energy-saving value in combination with the optimization controller.

[0053] Among them, the calculation formula of the energy efficiency index of the data center is: ; In the formula, PUE represents the energy efficiency index of the data center, Q eq represents the equipment energy consumption, Q ac represents the refrigeration energy consumption, Q li represents the lighting energy consumption, Q an represents the energy consumption of other equipment.

[0054] Specifically, the control strategy includes the optimization of the chilled water supply temperature setting, the optimization of the end differential pressure setting, the optimization of the cooling water temperature difference setting, the optimization of the cooling tower approach setting, and the program execution priority. In the optimization of the chilled water supply temperature setting, the upper limit value of the temperature is 17°C, and the lower limit value is 12°C; in the optimization of the end differential pressure setting, the upper limit value of the chilled water end differential pressure is 1.5 bar, and the lower limit value is 1 bar.

[0055] Among them, in the optimization of the cooling water temperature difference setting, the upper limit value of the water temperature is 7°C, the lower limit value is 3°C, and the optimization period is 24 hours. In the optimization of the cooling tower approach setting, the upper limit value of the approach is 5°C, and the lower limit value is 1°C.

[0056] The main function of the optimization work unit 2 in the data center is to receive the current operating status of the system in real time through the data access controller and then feedback it to the data center energy control unit 3. The data center energy control unit 3 optimizes the operating parameters according to the received information in accordance with the set optimization strategy, and then feeds back the optimal value to the BA system to make it operate.

[0057] In the data center energy control unit 3, the optimization worker is mainly responsible for automatically optimizing and adjusting the system operating parameters. It can use the built-in algorithms and strategies to fine-tune the equipment in real time based on the operating data of various equipment in the data center collected, such as equipment energy consumption, operating efficiency, environmental parameters, etc. For example, when ensuring that the data center temperature meets the requirements, it automatically adjusts the power of the air conditioning equipment to achieve the goal of energy saving. It can continuously monitor and analyze the system performance. When it finds that the equipment operation deviates from the optimal state, it quickly reacts and modifies the operation mode, control parameters, etc. of the equipment to make the equipment operate in a better state, thereby improving the operating efficiency of the entire data center.

[0058] The optimization workstation is an operation platform that provides a convenient interface for staff to perform system optimization settings. Technical personnel can set and adjust optimization strategies through the optimization workstation according to the specific situation of the data center, such as equipment layout, business load changes, etc. It can be used to view the detailed operating data, historical data, and records of the optimization process of the equipment, which helps staff better understand the operating status of the system, evaluate the effect of optimization measures, and provide a reference basis for further optimization work. The dynamic environment monitoring and alarm module (data center dynamic environment monitoring and alarm system), referred to as the dynamic environment system for short, its server is the core part. The main functions of the dynamic environment system server include centralized monitoring, which can collect the data of each monitoring unit (such as temperature and humidity sensors, smoke detectors, UPS and other equipment in the computer room) in real time, integrate and process these data uniformly, so that managers can view the status of all power equipment and environmental parameters on one platform. It can also perform intelligent alarms. When the monitoring data exceeds the set threshold, such as too high temperature or abnormal power system, the server will immediately issue an alarm to notify relevant personnel to handle it in time. And it can store historical data to provide data support for fault analysis, capacity planning, equipment maintenance, etc., and help optimize the management of places such as computer rooms.

[0059] In the process of constructing and optimizing the data flow, first, the Nebula server, the power environment monitoring system, and the energy control system achieve data sharing through the SNMP protocol. Then, the energy control system obtains the real-time changes in the load at the end of the power environment (such as the opening degree of the water valve and the supply air temperature in a modular data center) and the PUE value through the SNMP protocol (SNMP is a network management standard protocol widely used in TCP / IP networks, which can support network management systems to monitor whether there are any situations that cause management concerns for devices connected to the network). Finally, the optimization controller calculates the optimal value according to the predetermined control strategy and modifies the parameter setting value of the original control system to make it execute the optimal parameters. The optimization controller calculates the PUE of the current system operation according to the calculation formula in the strategy, as shown in the following formula: ; Specifically, the total energy consumption of the data center can be decomposed into the energy consumption of IT equipment, the energy consumption of the refrigeration system, the energy consumption of the power supply and distribution system, and the energy consumption of other equipment. The PUE of the energy consumption of IT equipment can be expressed as: ; In the formula, PUE represents the energy efficiency index of the data center, Q eq represents the equipment energy consumption, Q ac represents the refrigeration energy consumption, Q li represents the lighting energy consumption, Q an represents the energy consumption of other equipment, CLF (Cooling Load Factor) represents the refrigeration efficiency factor, PLF (Power Load Factor) represents the power supply and distribution energy efficiency factor; OLF (Other Load Factor) represents the other energy efficiency factor.

[0060] As Figure 6 and Figure 7 shown, it should be explained that during the optimization process, the set value of the chilled water supply temperature (the normal set value is 15°C); the set value of the chilled water end differential pressure (the normal set value is 1.5 bar); the set value of the cooling water temperature difference (the normal set value is 5°C); the set value of the cooling tower approach (the normal set value is 3°C; its specific control strategy is: (1) Optimization of the set value of the chilled water supply temperature: The initial set value CHTset = 15°C, the minimum limit is 12°C (adjustable), and the maximum limit is 17°C (adjustable). Among them, Logic 1-1 (optimization logic): The program execution target is to increase or decrease the set value of the chilled water supply temperature; the program execution period is to detect once every 24 hours (can be set); Execution procedure: 1. If the IT load change range is less than ±10%, and the mean value of the wet-bulb temperature in a day changes by no more than ±1 degree Celsius compared with the last optimization, and the number of terminal valve openings >= 95% is less than 10, and the number of supply air temperatures exceeding 25 degrees (settable) is less than 1 (settable); A. If the current PUE <= the last optimized PUE - 0.010 (good optimization effect), then execute the command: increase or decrease the chilled water supply temperature setpoint (CHTset) by 0.5°C. Whether to increase or decrease depends on the adjustment direction of the chilled water supply temperature setpoint in the last time. Set the last optimized PUE = the current PUE; B. If the current PUE > the last optimized PUE (poor optimization effect), then execute the command: change the adjustment direction of the chilled water supply temperature, and then increase or decrease the chilled water supply temperature setpoint by 0.5°C. Set the last optimized PUE = the current PUE; C. If the last optimized PUE - 0.010 < the current PUE <= the last optimized PUE, do not execute any command; 2. If the IT load change range is greater than ±10%, or the mean value of the wet-bulb temperature in a day changes by more than ±1 degree Celsius compared with the last optimization, do not execute the optimization command.

[0061] Logic 1 - 2 (rollback logic): The program execution target is to decrease the chilled water supply temperature setpoint; the program execution period is to detect once every 1 minute (settable), and the time interval between two rollbacks is 3 minutes (settable); Execution program: If the number of terminal valve openings >= 95% is greater than 20, or the number of terminal air conditioner supply air temperatures exceeding the set value of 25 degrees (settable) is more than 10 (the number is settable), or the number of valve openings greater than 95% in the same MDC is greater than or equal to 2 (settable), the chilled water supply temperature setpoint is decreased by 0.5°C (CHTset = CHTset - 0.5°C); Logic 1 - 3: In the electric refrigeration and precooling modes, the chilled water supply temperature modified by the optimization system is the chilled water outlet temperature setpoint CHTset of the chiller; Logic 1 - 4: When the program execution target is the free cooling mode, the chilled water supply temperature modified by the optimization system is the chilled water supply main pipe supply temperature setpoint CHTset.

[0062] (2) Terminal differential pressure setting optimization: The program execution target is the adjustment of the chilled water terminal differential pressure setpoint. Set the initial value DSPPSet = 1.5 bar, limit the minimum value to 1.0, and limit the maximum value to 1.5 bar.

[0063] Logic 2 - 1: Program execution target: Increase or decrease the terminal differential pressure setpoint: The program execution period is to detect once every 24 hours, and the execution program: 1. If the IT load change range is less than ±10%, and the mean value of the wet-bulb temperature in a day changes by no more than ±1 degree Celsius compared with the previous optimization, and the number of terminal valve openings >= 95% is less than 10, and the number of supply air temperatures exceeding 25 degrees (settable) is less than 1 (settable), and the chilled water temperature set value is not modified in the optimization logic 1-1.

[0064] A. If the current PUE <= the previous optimized PUE - 0.010 (good optimization effect), then execute the command: increase or decrease the terminal differential pressure set value (DSPPSet) by 0.1 bar. Whether to increase or decrease depends on the adjustment direction of the previous terminal differential pressure set value. Set the previous optimized PUE = the current PUE; B. If the current PUE > the previous optimized PUE (poor optimization effect), then execute the command: change the adjustment direction of the terminal differential pressure set value, and then increase or decrease the terminal differential pressure set value by 0.1 bar. Set the previous optimized PUE = the current PUE; C. If the previous optimized PUE - 0.010 < the current PUE <= the previous optimized PUE, do not execute any commands.

[0065] Logic 2-2: The program execution target is to increase the terminal differential pressure set value, and the program execution period is to detect once every 1 minute; Execution program: When the number of terminal valve openings >= 95% is greater than 20, or the number of terminal air-conditioning supply air temperatures exceeding the set value of 25 degrees (settable) is more than 10 (the number is settable), or the number of valve openings greater than 95% in the same MDC is greater than or equal to 2 (settable), increase the terminal differential pressure set value by 0.1 bar (DSPPSet = DSPPSet + 0.1 bar); (3) Chilled water temperature difference setting optimization: The program execution target is the adjustment of the chilled water temperature difference set value. The initial set value dTset = 5℃, the minimum limit is 3℃, and the maximum limit is 7℃.

[0066] Logic 3-1: The program execution target is to increase or decrease the chilled water temperature difference set value; The program execution period is to detect once every 24 hours; Execution program: If the current PUE <= the previous optimized PUE - 0.01 and the IT load change range is less than ±10%, and the mean value of the wet-bulb temperature in a day changes by no more than ±1 degree Celsius compared with the previous optimization, and the terminal differential pressure set value is not modified in the optimization logic 2-1.

[0067] A. If the current PUE <= the previous optimized PUE - 0.010 (good optimization effect), then execute the command: increase or decrease the chilled water temperature difference set value (dTset) by 1℃. Whether to increase or decrease depends on the adjustment direction of the previous chilled water temperature difference set value. Set the previous optimized PUE = the current PUE.

[0068] B. If the current PUE > the previous optimized PUE (poor optimization effect), then execute the command: change the adjustment direction of the chilled water temperature difference set value, and then increase or decrease the chilled water temperature difference set value by 1°C. Set the previous optimized PUE = the current PUE; if the previous optimized PUE - 0.010 < the current PUE <= the previous optimized PUE, do not execute any commands.

[0069] (4)Cooling tower approach temperature setting optimization: For the adjustment of the cooling tower approach temperature, the initial set value CTdTset = 3, with a minimum limit of 1°C and a maximum limit of 5°C.

[0070] Logic 4-1: The program execution goal is to increase or decrease the cooling tower approach temperature set value; the program execution period is to detect once every 24 hours; Execution procedure: If the current PUE <= the previous optimized PUE - 0.01 and the IT load change range is less than ±10%, and the average value of the wet bulb temperature in a day changes by no more than ±1°C compared with the previous optimization, and the chilled water temperature difference set value is not modified in optimization logic 3-3.

[0071] A. If the current PUE <= the previous optimized PUE - 0.010 (good optimization effect), then execute the command: increase or decrease the cooling tower approach temperature (CTdTset) by 1°C, and whether to increase or decrease depends on the previous adjustment direction of the cooling tower approach temperature. Set the previous optimized PUE = the current PUE.

[0072] B. If the current PUE > the previous optimized PUE (poor optimization effect), then execute the command: change the adjustment direction of the cooling tower approach temperature, and then increase or decrease the cooling tower approach temperature by 1°C. Set the previous optimized PUE = the current PUE.

[0073] C. If the previous optimized PUE - 0.010 < the current PUE <= the previous optimized PUE, do not execute any commands.

[0074] (5)Program execution priority: 1. For the above control strategy, perform a detection every 24 hours to check whether the system can be optimized. The priorities of Logics 1-1, 2-1, 3-1, and 4-1 are from high to low. The program with a higher priority is executed first. When a high-priority program is executed, the low-priority program is not executed.

[0075] 2. Set the execution optimization time window (such as 15:00 - 17:00 in the morning) through the configuration interface. When it is determined to be optimized under the optimization conditions, it can be manually confirmed by the user or automatically confirmed by the system. After confirmation, the system will execute the optimization command.

[0076] 3. For the above control strategy, perform a detection every 6 seconds to check whether the optimization set value needs to be rolled back. Programs 1-2 and 2-2 are executed simultaneously, and the rollback interval is 3 minutes (can be set).

[0077] 4. When the system is just enabled, execute the optimization logic once. Store the current PUE value as the previous optimized PUE. Initialize the optimization direction of the chilled water supply temperature setting value in Logic 1-1 to increase by 0.5 degrees, the optimization direction of the terminal pressure difference setting value in Logic 2-1 to decrease by 0.1 bar, the optimization direction of the chilled water temperature difference setting value in Logic 3-1 to increase by 1 degree, and the optimization direction of the approach temperature in Logic 4-1 to decrease by 1 degree (all are adjusted in the energy-saving direction).

[0078] 5. Add an optimization attempt mechanism: After the system is operating stably (the difference between the current PUE and the PUE at the time of the previous optimization is within 0.1, and the optimization program cannot be triggered), when the chilled water supply temperature setting value and the terminal pressure difference setting value remain stable after n optimization cycles (if the optimization cycle is 1 day, then it is n days), the system attempts to modify the setting value to break this stable state and execute an optimization program once.

[0079] The optimization workstation of the HVAC control system designed in this embodiment dynamically adjusts the adjustable parameters of the system through the optimization workstation to achieve dynamic optimization of energy efficiency and reduce the energy consumption of the data center. The current standard for evaluating the energy efficiency of the data center is PUE (an indicator to measure the energy efficiency of the data center). Therefore, this embodiment aims to reduce the PUE of the data center. First, all the operation data of the system is shared with the data center dynamic environment monitoring and alarm system (referred to as the dynamic environment system for short), and it can collect the changes in the terminal air-conditioning load (the opening of the terminal air-conditioning water valve and the supply air temperature) and the PUE value from the data center dynamic environment system in real time. After the data is summarized, it is provided to the control program of the optimization controller to dynamically calculate the optimal setting value of the system operation and feedback it to the equipment operation (the program automatically runs the control strategy), and through this analysis model, the PUE is reduced to achieve the energy-saving purpose.

[0080] The data center energy control unit 3 is used to control the operation status of the data center HVAC equipment based on the operation safety value and operation energy-saving value of the HVAC equipment, and achieve centralized monitoring and management.

[0081] In this embodiment, the data center energy control unit 3 includes: a main and standby group control controller module, which is used to combine the operation status data of the HVAC equipment with the preset rule algorithm by using the main group control controller for equipment operation allocation processing, and start the standby group control controller to take over the allocation work when the main group control controller has an initial failure; an equipment unit controller module, which is used to control the operation status of the HVAC equipment according to the operation safety value and operation energy-saving value, and feedback the operation status to the main and standby group control controller for comprehensive coordination and management of the HVAC equipment.

[0082] It should be noted that in specific applications, the data center energy control unit 3 is composed of 2 system servers in hot standby, 2 switches, 2 group control controllers, and 4 unit controllers. The data center energy control unit 3 plays an important role in the data center. It mainly conducts centralized monitoring and management of various devices in the data center. For example, in the HVAC system, through this system, the temperature, humidity, air supply volume, cooling capacity and other parameters can be automatically adjusted and precisely controlled, so that the data center environment can be maintained in a suitable state. The main group control controller in this system mainly plays the role of centralized management and coordinated control. It can control multiple devices at the same time. For example, in the air conditioning system of the data center, it can uniformly manage multiple air conditioning units. By collecting the operation status data of each device, such as temperature, pressure, energy consumption and other information, the main group control controller can reasonably allocate the operation of the devices according to the preset rules and algorithms (such as according to factors such as indoor and outdoor temperature difference, load change, etc.). The standby group control controller mainly plays a backup role. When the main group control controller fails, such as hardware damage, software crash or being attacked by a network, etc., the standby group control controller can quickly take over the work of the main controller.

[0083] The unit controller plays an important role in this system. It is mainly responsible for directly controlling and managing specific device units. Taking the air conditioning system of the data center as an example, the unit controller can precisely control the specific operation parameters of a certain air conditioning unit, such as the start and stop of the compressor, the rotation speed of the fan, the refrigerant flow rate, etc. At the same time, it can receive information from sensors, such as return air temperature, humidity, etc., and adjust the device according to this information. And the unit controller will also feedback the operation status data of the device to the upper-level group control controller, so that the group control controller can better conduct comprehensive coordination and management.

[0084] As Figure 8 shown, in the process of optimizing the architecture and energy control, first obtain the energy control system data through the SNMP protocol. At the same time, the dynamic environment obtains all the data of the control system through the SNMP protocol. The nebula server obtains the dynamic environment data through the SNMP protocol. And the dynamic environment system server obtains the status of the terminal air conditioning valve and PUE through the SNMP protocol. Finally, automatically modify the system operation set value according to the predetermined control strategy.

[0085] As Figure 2 shown, the present invention also provides an integrated optimization method based on data center HVAC control. The integrated optimization method includes: Using the visual human-machine interface and fault simulation scenario conversion technology to conduct operation simulation processing of HVAC equipment, and obtaining the operation safety value of HVAC equipment during operation based on the simulation results; Use a dynamic environment monitor to obtain analysis data of the energy efficiency indicators of the data center in real time after the end load changes, and obtain the operation energy-saving value of the HVAC equipment according to the energy efficiency indicators of the data center and the optimization controller; Based on the operation safety value and operation energy-saving value of the HVAC equipment, control the operation state of the data center HVAC equipment to achieve centralized monitoring and management.

[0086] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An integrated tuning system based on HVAC control of a data center, characterized in that: The integrated tuning system includes: The operation simulation visualization management unit is used to perform operation simulation of HVAC equipment using a visualization human-machine interface and fault simulation scenario conversion technology, and obtain the operation safety value of the HVAC equipment during operation based on the simulation results; The data center tuning work unit is used to analyze the data center energy efficiency index after obtaining the terminal load changes in real time using the dynamic environment monitor, and obtain the operating energy saving value of the HVAC equipment based on the data center energy efficiency index and the tuning controller; The data center energy control unit is used to control the operating status of the data center HVAC equipment based on the operating safety value and operating energy-saving value of the HVAC equipment, and realize centralized monitoring and management.

2. The integrated tuning system based on HVAC control of a data center according to claim 1 is characterized in that: The operation simulation visualization management unit comprises: Fault simulation operation test module, used to perform equipment fault switching and unit controller fault switching tests according to the set operation mode, and display the test results on the visual human-machine interface; Equipment loading and unloading test module, used to perform loading and unloading tests on air conditioners, cooling pumps, refrigeration pumps and cooling towers according to the set operating frequency, and display the test results on the visual human-machine interface; The switch mode switching polling module is used to simulate the switch process of the refrigerator in the set mode, obtain the switching process of the HVAC equipment in different modes, and implement polling operations on the equipment according to the running time; The operation safety value acquisition module is used to obtain the operation safety value of the HVAC equipment during operation based on the test results of the fault simulation operation test module, the equipment load addition and reduction test module and the switch mode switching polling module.

3. The integrated tuning system based on HVAC control of a data center according to claim 2 is characterized in that: The equipment failure switching includes refrigerator failure switching, refrigeration pump failure switching, cooling pump failure switching and cooling tower failure switching; The unit controller failure switching includes group controller dual-machine hot standby switching and unit controller power-off switching.

4. The integrated tuning system based on HVAC control of a data center according to claim 2 is characterized in that: When obtaining the switching process of the HVAC equipment in different modes, the mode switching process can be pre-set, and the equipment switching rules can be determined according to the switching process; the mode switching is performed according to the equipment switching rules, and the outdoor air wet bulb temperature and the freezing valve and cooling valve actions in each set mode are analyzed based on the switching process; The mode switching process includes switching from the refrigeration mode of the refrigerator to the pre-cooling mode, switching from the pre-cooling mode to the natural cooling mode, switching from the natural cooling mode to the pre-cooling mode and switching from the pre-cooling mode to the refrigeration mode of the refrigerator. The equipment switching rules include the outdoor air wet-bulb temperature, the operating frequency of the cooling tower fan and the number of HVAC units.

5. The integrated tuning system based on HVAC control of a data center according to claim 1 is characterized in that: The data center tuning work unit includes: Dynamic environment monitoring and alarm module, which is used to collect and integrate environmental data collected by sensors in the HVAC equipment room, and send intelligent reminders when the environmental data exceeds the abnormality; The tuning data flow construction module is used to use the network management sharing protocol to perform data sharing operations between the Nebula server, the data center energy control unit and the dynamic environment monitoring and alarm module, and to construct the tuning data flow based on the data sharing results; The control strategy optimal value calculation module is used to obtain the dynamic environment terminal load changes and data center energy efficiency indicators based on the tuning data stream, and calculate the optimal operation energy saving value in combination with the tuning controller.

6. The integrated tuning system based on HVAC control of a data center according to claim 5 is characterized in that: The calculation formula of the data center energy efficiency index is: ； In the formula, PUE represents the energy efficiency index of the data center, Q eq Indicates the energy consumption of the equipment, Q ac represents the cooling energy consumption, Q li represents lighting energy consumption, Q an Indicates the energy consumption of other devices.

7. The integrated tuning system based on HVAC control of a data center according to claim 6 is characterized in that: The control strategy includes setting and tuning of chilled water supply temperature, setting and tuning of terminal pressure difference, setting and tuning of cooling water temperature difference, setting and tuning of cooling tower approach degree and program execution priority; In the chilled water supply temperature setting optimization, the upper limit value of the temperature is 17°C, and the lower limit value is 12°C; in the terminal pressure difference setting optimization, the upper limit value of the chilled water terminal pressure difference is 1.5 bar, and the lower limit value is 1 bar.

8. The integrated tuning system based on HVAC control of a data center according to claim 7 is characterized in that: In the cooling water temperature difference setting optimization, the water temperature upper limit is 7°C, the lower limit is 3°C, the optimization period is 24 hours, and in the cooling tower approximation setting optimization, the approximation upper limit is 5°C, the lower limit is 1°C.

9. The integrated tuning system based on HVAC control of a data center according to claim 1 is characterized in that: The data center energy control unit includes: The main and standby group control controller modules are used to use the main group control controller to combine the operating status data of the HVAC equipment with the preset rule algorithm to perform equipment operation allocation processing, and to start the standby group control controller to take over the allocation work when the main group control controller fails initially; The equipment unit controller module is used to control the operating status of the HVAC equipment according to the operating safety value and the operating energy-saving value, and feed back the operating status to the main and standby group control controllers for comprehensive and coordinated management of the HVAC equipment.

10. An integrated tuning method based on HVAC control of a data center, used to implement the integrated tuning system based on HVAC control of a data center as claimed in any one of claims 1 to 9, characterized in that: This integrated tuning approach includes: Use visual human-machine interface and fault simulation scenario conversion technology to simulate the operation of HVAC equipment, and obtain the operation safety value of HVAC equipment during operation based on the simulation results; Use the dynamic environment monitor to obtain the terminal load changes in real time to analyze the data center energy efficiency index, and obtain the operating energy saving value of the HVAC equipment based on the data center energy efficiency index and the tuning controller; The operating status of the HVAC equipment in the data center is controlled based on the operating safety value and operating energy-saving value of the HVAC equipment to achieve centralized monitoring and management.

Images