Intelligent refrigeration system and method for exploration data center

Abstract

The invention discloses an intelligent refrigeration system and method for an exploration data center. The system comprises a fresh air processor, a control group, an air conditioning unit, a plurality of temperature sensors and a server cabinet group, the control group is used for judging whether the outdoor fresh air is subjected to energy exchange or not, and if not, a control signal is sent to the fresh air processor to control the fresh air processor to introduce outdoor fresh air without energy exchange to the air conditioning unit; and the air conditioning unit is used for introducing the introduced outdoor fresh air into a room as refrigeration air until the refrigeration set temperature value is reached. The method comprises the steps that a control set judges whether outdoor fresh air needs to be subjected to energy exchange or not, and if not, a control signal is sent to a fresh air processor so as to control the fresh air processor to introduce outdoor fresh air without energy exchange into an air conditioning unit; and the air conditioning unit introduces outdoor fresh air into a room as refrigeration air until the refrigeration set environment temperature value is reached. According to the system and method, outdoor fresh air is reasonably utilized, energy consumption is effectively reduced, and energy is saved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of exploration data center, and particularly relates to an intelligent refrigeration system and method for exploration data center. BACKGROUND

[0002] The exploration data center is different from the traditional data center: in terms of the number and type of equipment, the exploration data center usually needs a large number of computers and servers to process and store massive geological exploration data, and the exploration data center has GPU cluster systems, CPU cluster systems, high-performance cluster storage systems, IP and IB dual-core network systems, and different types of equipment have great differences in terms of work load and energy consumption; in terms of data processing requirements, geological exploration data usually need to be processed and analyzed in a complex manner, and the demand for computing power and storage capacity of the exploration data center is very high, which often results in large energy consumption; in terms of heat dissipation, the equipment of the exploration data center generates a large amount of heat, and therefore cooling equipment is needed to maintain a suitable temperature. Therefore, in the exploration data center, a large amount of heat is generated due to complex computing tasks, and a high-efficiency and reliable cooling system is needed to maintain operation, and the refrigeration system is crucial. SUMMARY

[0003] In view of the above problems, the present application is proposed to provide an intelligent refrigeration system and method for exploration data center which overcomes the above problems or at least partially solves the above problems.

[0004] In the first aspect, an embodiment of the present application provides an intelligent refrigeration system for exploration data center, comprising:

[0005] a fresh air treatment machine, a control group, an air conditioning unit, a plurality of temperature sensors and a server cabinet group;

[0006] The air supply outlet of the fresh air treatment machine is connected with the air supply inlet of the air conditioning unit through an air supply pipeline; the control group is electrically connected with the fresh air treatment machine and the air conditioning unit respectively; the plurality of temperature sensors are used for collecting outdoor environment temperature data and actual environment temperature data of the server cabinet group respectively;

[0007] The control group is used for receiving the collected outdoor environment temperature data and actual environment temperature data of the server cabinet group, and judging whether the outdoor fresh air used for refrigeration needs to pass through energy exchange according to the outdoor environment temperature data and the actual environment temperature data of the server cabinet group, and if the judgment result is no, a corresponding first control signal is sent to the fresh air treatment machine to control the fresh air treatment machine to introduce outdoor fresh air which has not passed through energy exchange to the air conditioning unit;

[0008] The air conditioning unit is used for receiving the outdoor fresh air introduced by the fresh air treatment machine, and the introduced outdoor fresh air is used as refrigeration air to be introduced into the indoor until the actual environment temperature value of the server cabinet group reaches the set environment temperature value.

[0009] In one embodiment, the above-mentioned exploration data center intelligent refrigeration system, the control group is used for judging whether the difference between the outdoor environment temperature data and the actual environment temperature data of the server cabinet group is greater than a set threshold value according to the received outdoor environment temperature data and the actual environment temperature data of the server cabinet group, if the difference is greater than the set threshold value, the first control signal is sent to the fresh air treatment machine, the first control signal is used to indicate the control signal of the fresh air treatment machine introducing the outdoor fresh air without energy exchange to the air conditioning unit; if the difference is less than or equal to the set threshold value, the second control signal is sent to the fresh air treatment machine, the second control signal is used to indicate the fresh air treatment machine introducing the outdoor fresh air after energy exchange to the air conditioning unit.

[0010] In one embodiment, the above-mentioned exploration data center intelligent refrigeration system, the control group is also used for calculating the corresponding refrigeration demand according to the collected actual environment temperature value of the server cabinet group and the set environment temperature value of the server cabinet group; according to the refrigeration demand, the refrigeration amount demand control signal is sent to the air conditioning unit to control part of the air conditioning unit to enter the working state.

[0011] In one embodiment, the above-mentioned exploration data center intelligent refrigeration system, the control group is used for calculating the refrigeration demand according to the following formula: refrigeration demand = server power consumption / heat dissipation efficiency / (actual environment temperature value-set environment temperature value); wherein:

[0012] The server power consumption is the power consumption of the server cabinet group;

[0013] The heat dissipation efficiency is the heat dissipation efficiency of the heat sink in the server group;

[0014] The actual environment temperature value is the actual environment temperature value of the server cabinet group;

[0015] The set environment temperature value is the set environment temperature value of the server cabinet group.

[0016] In one embodiment, the above-mentioned exploration data center intelligent refrigeration system further comprises: an air conditioning operation scheduling group; the air conditioning operation scheduling group is electrically connected with the control group;

[0017] The air conditioning operation scheduling group is used for receiving the operation amount change signal sent by the control group, and sending the corresponding operation amount feedback signal to the control group according to the operation amount change signal.

[0018] The control group is further configured to adjust the number of air conditioners in the air conditioning unit in operation according to the received workload feedback signal, and / or adjust the refrigeration temperature of the air conditioners in operation, so that the actual environment temperature value of the server cabinet group reaches the set environment temperature value.

[0019] In one embodiment, the above-mentioned exploration data center intelligent refrigeration system, the control group is further configured to determine whether the air conditioners in the air conditioning unit in operation can meet the refrigeration demand of the server cabinet group, and if the determination result is no, send a corresponding workload change signal to the air conditioner operation group;

[0020] The air conditioner operation scheduling group is configured to send an air conditioning unit entering operation to the control group according to the received workload change signal, and / or reduce the refrigeration temperature of the air conditioners in operation to the control group.

[0021] In one embodiment, the above-mentioned exploration data center intelligent refrigeration system further comprises: a fan;

[0022] The air supply outlet of the air conditioning unit is connected to the air supply inlet of the fan through an air supply pipeline;

[0023] The air supply inlet of the air conditioning unit is connected to the air supply outlet of the fresh air treatment machine through an air supply pipeline;

[0024] The air conditioning unit is further configured to input the refrigeration air corresponding to the air volume of the refrigeration demand control signal to the fan according to the received refrigeration demand control signal, and send an air volume control signal to the fan to control the air volume at the air supply outlet of the fan;

[0025] The fan is configured to deliver refrigeration air corresponding to the air volume of the air volume control signal to the indoor environment according to the received air volume control signal, and perform refrigeration on the environment of the server cabinet group.

[0026] In one embodiment, the above-mentioned exploration data center intelligent refrigeration system further comprises: a static pressure tank;

[0027] The air supply inlet of the static pressure tank is connected to the air supply outlet of the air conditioning unit through an air supply pipeline;

[0028] The air supply outlet of the static pressure tank is connected to the air supply inlet of the fan through an air supply pipeline;

[0029] The static pressure tank is configured to adjust the refrigeration air output by the air conditioning unit to a set flow rate and pressure, and input the adjusted refrigeration air to the fan.

[0030] In an embodiment, the intelligent refrigeration system for the exploration data center, the temperature sensors include a first temperature sensor and a second temperature sensor.

[0031] The first temperature sensor is arranged on the outer wall of the server cabinet group to collect the actual ambient temperature data of the server cabinet group, and the second temperature sensor is arranged outdoors to collect the outdoor ambient temperature data.

[0032] In an embodiment, the intelligent refrigeration system for the exploration data center, the fresh air processor further includes an air processor.

[0033] The air processor is used to remove odor and impurities in the introduced outdoor fresh air.

[0034] In a second aspect, an embodiment of the present application provides an intelligent refrigeration method for an exploration data center, comprising:

[0035] The control group determines whether the outdoor fresh air for refrigeration needs to pass through the energy exchanger according to the received outdoor ambient temperature data and the actual ambient temperature data of the server cabinet group, and if the determination result is no, the control group sends a corresponding control signal to the fresh air processor to control the fresh air processor to introduce the outdoor fresh air that has not passed through the energy exchanger to the air conditioning unit.

[0036] The air conditioning unit receives the outdoor fresh air introduced by the fresh air processor, and introduces the introduced outdoor fresh air as refrigeration air into the indoor environment until the actual ambient temperature value of the server cabinet group reaches the set ambient temperature value.

[0037] In an embodiment, the method, the control group further obtains a corresponding refrigeration demand according to the calculated relationship between the received actual ambient temperature value of the server cabinet group and the set ambient temperature value of the server cabinet group, and sends a refrigeration amount demand control signal to the air conditioning unit according to the refrigeration demand to control part of the air conditioning units to enter a working state.

[0038] The control group judges whether the difference between the actual environment temperature value of the server cabinet group and the set environment temperature value is greater than a set difference threshold value and whether the outdoor environment temperature value is greater than a set outdoor environment temperature threshold value according to the actual environment temperature value and the set environment temperature value of the server cabinet group, and if the difference is greater than the set difference threshold value and the outdoor environment temperature value is greater than the set outdoor environment temperature threshold value, sends an operation amount change signal that the air conditioning units in the working state cannot meet the refrigeration demand of the server cabinet group to the air conditioning operation scheduling group; the air conditioning operation scheduling group sends a corresponding operation amount feedback signal to the control group according to the received operation amount change signal, controls the air conditioning units to increase the number of air conditioners in the working state and / or reduce the refrigeration temperature of the air conditioners in the working state until the actual environment temperature value of the server cabinet group reaches the set environment temperature value.

[0039] The above technical solutions provided by the embodiments of the present application have at least the following beneficial effects:

[0040] In the intelligent refrigeration system and method for exploration data center provided by the embodiments of the present application, the control group is used to judge whether the outdoor fresh air for refrigeration needs to pass through energy exchange according to the outdoor environment temperature data and the actual environment temperature data of the server cabinet group, that is, whether the outdoor fresh air can be directly used for refrigeration, and in the case that the judgment result is that the outdoor fresh air does not need to pass through energy exchange and can be directly used for refrigeration, a corresponding control signal is sent to the fresh air treatment machine to control the fresh air treatment machine to introduce the outdoor fresh air that has not passed through energy exchange to the air conditioning unit; therefore, the intelligent refrigeration system for exploration data center provided by the embodiments of the present application can reasonably utilize the outdoor fresh air, effectively reduce energy consumption, save energy, effectively reduce energy expenditure, save a large amount of operation cost, and improve economic benefits. Moreover, for high-latitude areas, the intelligent refrigeration system for exploration data center provided by the embodiments of the present application can intelligently utilize the outdoor natural wind in sub-alpine areas to realize the refrigeration demand of the exploration data center, can effectively save electric energy, greatly reduce energy consumption, and has a better applicable scenario.

[0041] The intelligent refrigeration system for exploration data center provided by the embodiments of the present application, the control group is also used to judge whether the air conditioners in the working state can meet the refrigeration demand, and in the case of not meeting the refrigeration demand, adjusts the number of air conditioners in the working state of the air conditioning unit and adjusts the temperature of the refrigeration wind introduced to the indoor by the air conditioning unit according to the operation amount feedback signal sent by the air conditioning operation scheduling group, which can effectively improve the design and layout of the exploration data center and improve the utilization rate of equipment.

[0042] The intelligent refrigeration method for the exploration data center provided by the embodiment of the present application can reasonably utilize outdoor fresh air according to the actual environment temperature value of the server cabinet group and the outdoor environment temperature value monitored in real time, save electricity as much as possible under the condition of ensuring the refrigeration capacity of the refrigeration system, and effectively save energy.

[0043] Further, the intelligent refrigeration method for the exploration data center provided by the embodiment of the present application, the control group can also adjust the number of air conditioners in the working state and the air conditioner refrigeration temperature in real time according to the judgment result of the judgment of the refrigeration capacity of the air conditioner unit in real time, and effectively improve the utilization rate of the equipment and the refrigeration efficiency.

[0044] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and achieved by the structure particularly pointed out in the written description, claims, and drawings.

[0045] The technical solutions of the present application will be further described in detail below with the help of the drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0046] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, illustrate the present application, and are used to explain the present application together with the embodiments of the present application, and do not constitute a limitation on the present application. In the drawings:

[0047] Figure 1 It is a structural schematic diagram of the intelligent refrigeration system for the exploration data center in the embodiment of the present application;

[0048] Figure 2 It is a flowchart of the intelligent refrigeration method for the exploration data center in the embodiment of the present application;

[0049] Explanation of reference signs:

[0050] 1-control group; 2-air conditioner unit; 3-fresh air treatment machine; 4-server cabinet group; 5-first temperature sensor; 6-second temperature sensor; 7-air conditioner operation scheduling group; 8-fan; 9-static pressure tank; 10-air processor. DETAILED DESCRIPTION

[0051] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be accurately conveyed to those skilled in the art.

[0052] The inventor of the present application finds that in some sub-highland areas, due to the characteristics of geological conditions and resource distribution, the exploration data center occupies a large proportion. The construction of a large-scale exploration data center for assisting the development of oil and gas resources needs to provide comprehensive exploration data calculation and research support, so the refrigeration of the server is particularly important. The climate characteristics of some sub-highland areas are mainly affected by topography and marine climate, showing a variety of climate types. For some sub-highland areas, due to the high altitude of the terrain, the temperature is relatively low in summer and lower in winter, usually below minus 10 DEG C, and the diurnal temperature difference is large, and there is no high temperature and high humidity all the year round.

[0053] How to effectively use the climate characteristics of the sub-highland area, combine the server cooling characteristics in each server cabinet of the exploration data center, intelligently adjust the use of outdoor natural wind and intelligently adjust the air conditioning refrigeration air volume, is a problem faced by the exploration data center in the refrigeration field, especially reducing energy consumption and saving energy is a problem that needs to be solved in the current exploration data center refrigeration strategy.

[0054] Based on the above problems, the present application provides an intelligent refrigeration system and method for an exploration data center.

[0055] The intelligent refrigeration system for an exploration data center provided by the present application comprises a fresh air treatment machine 3, a control group 1, an air conditioning unit 2, a plurality of temperature sensors and a server cabinet group 4, as shown in Figure 1

[0056] The air supply outlet of the fresh air treatment machine 3 is connected with the air supply inlet of the air conditioning unit 2 through an air supply pipeline; the control group 1 is electrically connected with the fresh air treatment machine 3 and the air conditioning unit 2 respectively; the plurality of temperature sensors are respectively used to collect outdoor environment temperature data and actual environment temperature data of the server cabinet group 4;

[0057] The control group 1 is used to receive the collected outdoor environment temperature data and actual environment temperature data of the server cabinet group 4, and judge whether the outdoor fresh air used for refrigeration needs to pass through energy exchange according to the outdoor environment temperature data and the actual environment temperature data of the server cabinet group, if the judgment result is no, a corresponding first control signal is sent to the fresh air treatment machine 3 to control the fresh air treatment machine 3 to introduce outdoor fresh air which does not pass through energy exchange to the air conditioning unit 2;

[0058] The air conditioning unit 2 is used to receive the outdoor fresh air introduced by the fresh air treatment machine 3, and introduce the introduced outdoor fresh air as refrigeration air into the indoor until the actual environment temperature value of the server cabinet group 4 reaches the set environment temperature value.

[0059] ​The intelligent refrigeration system of the exploration data center provided by the embodiment of the present application, the control group 1 is used for judging whether the outdoor fresh air used for refrigeration needs to pass through energy exchange according to the outdoor environment temperature data and the actual environment temperature data of the server cabinet group 4, that is, whether the outdoor fresh air can be directly used for refrigeration, in the case that the judgment result is that the outdoor fresh air can be directly used for refrigeration without passing through energy exchange, a corresponding control signal is sent to the fresh air treatment machine 3, and the fresh air treatment machine 3 is controlled to introduce the outdoor fresh air without energy exchange to the air conditioning unit 2; therefore, the intelligent refrigeration system of the exploration data center provided by the embodiment of the present application can effectively reduce energy consumption, save energy, effectively reduce energy expenditure, save a large amount of operation cost, and improve economic benefits.

[0060] In one embodiment, the main function of the fresh air treatment machine 3 can be used to realize energy exchange between the outdoor fresh air and the indoor exhaust air, and the energy exchange can be full heat conversion, that is, simultaneous conversion of sensible heat (temperature) and latent heat (humidity), which can significantly reduce energy consumption; when the fresh air treatment machine 3 introduces the outdoor fresh air and discharges the indoor exhaust air, heat and humidity in the air are recovered through the heat exchange core.

[0061] The heat exchange core described above can be, for example, a rotary heat exchanger, which can be composed of a honeycomb rotary wheel, a transmission device and a frame, wherein the base material of the honeycomb rotary wheel can be, for example, aluminum, and a moisture-absorbing material is coated on the surface thereof; the base material and the surface coating of the honeycomb rotary wheel can affect the efficiency of energy exchange; when the honeycomb rotary wheel rotates, the upper half passes through the outdoor fresh air, and the lower half passes through the indoor exhaust air.

[0062] For example, in summer, the temperature and humidity of the indoor exhaust air are lower than those of the outdoor fresh air, when the indoor exhaust air passes through the honeycomb rotary wheel of the rotary heat exchanger, the temperature and humidity of the honeycomb rotary wheel are reduced, when the honeycomb rotary wheel rotates to the fresh air area, the heat and moisture of the outdoor fresh air are absorbed, so that the temperature and humidity of the outdoor fresh air are reduced; in winter, the temperature and humidity of the indoor exhaust air are higher than those of the outdoor fresh air, when the indoor exhaust air passes through the honeycomb rotary wheel of the rotary heat exchanger, the temperature and humidity of the honeycomb rotary wheel are increased, when the honeycomb rotary wheel rotates to the fresh air area, the heat and moisture of the outdoor fresh air are released, so that the temperature and humidity of the outdoor fresh air are increased.

[0063] In the specific implementation of the present application, the fresh air treatment machine 3 can be, for example, an ERV fresh air treatment machine, and the energy exchange of the ERV fresh air treatment machine is full heat conversion, that is, simultaneous conversion of sensible heat (temperature) and latent heat (humidity), which can significantly reduce energy consumption.

[0064] In one embodiment, the control group 1 is configured to determine whether the difference between the outdoor environment temperature data and the actual environment temperature data of the server cabinet group 4 is greater than a set threshold value according to the received outdoor environment temperature data and the actual environment temperature data of the server cabinet group 4. If the difference is greater than the set threshold value, the control group 1 sends the first control signal to the fresh air processor 3, and the first control signal is configured to instruct the fresh air processor 3 to introduce outdoor fresh air without energy exchange to the air conditioning unit 2. If the difference is less than or equal to the set threshold value, the control group 1 sends the second control signal to the fresh air processor 3, and the second control signal is configured to instruct the fresh air processor 3 to introduce outdoor fresh air with energy exchange to the air conditioning unit 2.

[0065] In one embodiment, the control group 1 is configured to determine whether the difference between the outdoor environment temperature data and the actual environment temperature data of the server cabinet group 4 is greater than a set threshold value according to the received outdoor environment temperature data and the actual environment temperature data of the server cabinet group 4. In a specific implementation, the set threshold value can be, for example, 10℃.

[0066] In one embodiment, the fresh air processor 3 is configured to receive the control signal sent by the control group 1 indicating whether energy exchange occurs. If the fresh air processor 3 receives the first control signal sent by the control group 1, the fresh air processor 3 introduces outdoor fresh air without energy exchange to the air conditioning unit 2 according to the received first control signal, indicating that the difference between the current outdoor environment temperature and the actual environment temperature of the server cabinet group 4 is large, and the outdoor natural wind is suitable for being directly used as cooling wind, so the introduced outdoor fresh air does not need to be subjected to energy exchange. If the fresh air processor 3 receives the second control signal sent by the control group 1, the fresh air processor 3 introduces outdoor fresh air with energy exchange to the air conditioning unit 2 according to the received second control signal, indicating that the difference between the current outdoor environment temperature and the actual environment temperature of the server cabinet group 4 is small, and the outdoor natural wind is not suitable for being directly used as cooling wind, so the introduced outdoor fresh air needs to be subjected to energy exchange.

[0067] For example, for some sub-highland areas, the terrain has a high altitude, the temperature is relatively low in summer, and the temperature is even lower in winter, usually below minus 10℃, and the diurnal temperature difference is large. Due to the climate characteristics of no high temperature and no high humidity all the year round, the outdoor natural wind is very suitable for being used as cooling wind. Therefore, the fresh air processor 3 can not be subjected to energy exchange when introducing outdoor fresh air.

[0068] In one embodiment, the control group 1 is further configured to calculate a corresponding refrigeration demand according to the collected actual environment temperature value of the server cabinet group 4 and the set environment temperature value of the server cabinet group 4, and send a refrigeration demand control signal to the air conditioning unit 2 according to the refrigeration demand, so as to control part of the air conditioning unit 2 to enter a working state.

[0069] In one embodiment, the control group 1 is configured to calculate the refrigeration demand according to the following formula: refrigeration demand = server power consumption / radiator efficiency / (actual environment temperature value - set environment temperature value), wherein:

[0070] The server power consumption is the power consumption of the server cabinet group 4.

[0071] The radiator efficiency is the heat dissipation efficiency of the radiator in the server group.

[0072] The actual environment temperature value is the actual environment temperature value of the server cabinet group 4.

[0073] The set environment temperature value is the set environment temperature value of the server cabinet group 4.

[0074] In the implementation of the present application, the unit of the refrigeration demand is cubic meters per hour (m 3 / h), which represents the refrigeration air volume required by the air conditioning unit 2 per hour. It should be noted that the refrigeration demand and the actual environment temperature value of the server cabinet group 4 have a linear relationship, that is, as the actual environment temperature of the server cabinet group 4 increases, the corresponding refrigeration demand also increases, that is, the heat dissipated by the server cabinet group 4 increases, and in order to maintain the actual environment temperature value of the server cabinet group 4 to reach the set environment temperature value, the required refrigeration air volume also increases. The above formula describes the linear relationship between the refrigeration demand and the actual environment temperature value of the server cabinet group 4, and thus the calculated refrigeration demand refers to the refrigeration air volume required by the server cabinet group 4 per hour to reach the preset temperature value from the actual temperature value.

[0075] For example, the power consumption of the server cabinet group 4 is 600W, the radiator efficiency of the server cabinet group 4 is 80%, the actual environment temperature value of the server cabinet group 4 is 40℃, and the set environment temperature value of the server cabinet group 4 is 25℃. Substituting into the calculation formula, we get:

[0076] The refrigeration demand = 600W / 80% / (40℃-25℃) = 50m 3 / h;

[0077] That is, the required refrigeration air volume is 50 cubic meters per hour (m 3 / h);

[0078] The above formula, in a specific implementation, also needs to consider the influence of the server model used, the server quantity and the server layout and other factors on the power consumption of the server cabinet group 4, and the influence of the design, layout and radiator exhaust air volume of the radiator on the efficiency of the radiator.

[0079] In an embodiment, referring to Figure 1 The intelligent refrigeration system for exploration data center can further include an air conditioner operation scheduling group 7, which is electrically connected with the control group 1.

[0080] The air conditioner operation scheduling group 7 is configured to receive the operation amount change signal sent by the control group 1, and send a corresponding operation amount feedback signal to the control group 1 according to the operation amount change signal.

[0081] The control group 1 is further configured to adjust the number of air conditioners in the working state in the air conditioner unit 2 and / or adjust the refrigeration temperature of the air conditioners in the working state according to the received operation amount feedback signal, so that the actual environment temperature value of the server cabinet group 4 reaches the set environment temperature value.

[0082] The intelligent refrigeration system for exploration data center provided by the embodiment of the present application, the control group 1 is further configured to determine whether the air conditioner in the working state can meet the refrigeration demand, and if not, adjust the number of air conditioners in the working state in the air conditioner unit 2 and the temperature of the refrigeration air introduced into the room by the air conditioner unit 2 according to the received operation amount feedback signal sent by the air conditioner operation scheduling group 7, which can effectively improve the design and layout of the exploration data center and improve the utilization rate of the equipment.

[0083] In an embodiment, the control group 1 is further configured to determine whether the air conditioner in the working state in the air conditioner unit 2 can meet the refrigeration demand of the server cabinet group 4, and if not, send a corresponding operation amount change signal to the air conditioner operation group.

[0084] The air conditioner operation scheduling group 7 is configured to send an operation amount feedback signal to the control group 1 according to the received operation amount change signal, which is to increase the number of air conditioners in the working state in the air conditioner unit 2 and / or reduce the refrigeration temperature of the air conditioners in the working state.

[0085] The air conditioning operation scheduling group 7 analyzes the operation amount change value of the air conditioning unit 2 according to the received operation amount change signal. If the operation amount change value is greater than the set operation amount change threshold value, that is, the air conditioners in the working state of the air conditioning unit 2 cannot meet the cooling demand of the server cabinet group 4 to a great extent, the air conditioning operation scheduling group 7 sends an operation amount feedback signal to the control group 1 to increase the number of air conditioners in the working state in the air conditioning unit 2 and reduce the cooling temperature of the air conditioners in the working state. When the operation amount change value is less than or equal to the set operation amount change threshold value, that is, the air conditioners in the working state of the air conditioning unit 2 cannot meet the cooling demand of the server cabinet group 4 to a certain extent, the air conditioning operation scheduling group 7 sends an operation amount feedback signal to the control group 1 to increase the number of air conditioners in the working state in the air conditioning unit 2 or reduce the cooling temperature of the air conditioners in the working state.

[0086] For example, in summer, the outdoor environment temperature is high. When the outdoor environment temperature is greater than the set outdoor environment temperature threshold value, and the difference between the actual environment temperature value of the server cabinet group 4 and the set environment temperature value is greater than the preset difference threshold value, it indicates that the cooling method by introducing outdoor fresh air cannot meet the cooling demand of the server cabinet group 4. Therefore, the control group 1 obtains a judgment result that the air conditioners in the working state cannot meet the cooling demand of the server cabinet group 4 by judgment. The control group 1 sends a corresponding operation amount change signal to the air conditioning operation scheduling group 7 according to the judgment result. The air conditioning operation scheduling group 7 sends a corresponding operation amount feedback signal to the control group 1 according to the received operation amount change signal. Further, the control group 1 controls the air conditioning unit 2 to increase the number of air conditioners in the working state in the air conditioning unit 2 and / or reduce the cooling temperature of the air conditioners in the working state according to the received operation amount feedback signal.

[0087] The above-mentioned operation amount change signal can control both the number of air conditioners in the working state and the reduction of the cooling temperature of the air conditioners in the working state, or only control one aspect, such as only adjusting the number of air conditioners in the working state or only reducing the cooling temperature of the air conditioners.

[0088] In one embodiment, referring to Figure 1 The above-mentioned exploration data center intelligent cooling system can further comprise a fan 8.

[0089] The air supply outlet of the air conditioning unit 2 is connected to the air supply inlet of the fan 8 through an air conveying pipeline.

[0090] The air supply inlet of the air conditioning unit 2 is connected to the air supply outlet of the fresh air treatment machine 3 through an air conveying pipeline.

[0091] The air conditioning unit 2 is also configured to input the cooling air with the air volume corresponding to the cooling demand control signal to the fan 8 according to the received cooling demand control signal, and send an air volume control signal to the fan 8 to control the air volume at the air outlet of the fan 8.

[0092] The fan 8 is configured to deliver the cooling air with the air volume corresponding to the air volume control signal to the indoor environment according to the received air volume control signal, and perform cooling on the environment of the server cabinet group 4.

[0093] In the specific implementation of the present application, referring to Figure 1 As shown in the figure, for example, the fan 8 is installed under the ventilation floor, and the control group 1 sends the air volume control signal to the fan 8 to control the fan 8 to adjust the rotating speed, so as to realize the air volume control of the cooling air introduced to the indoor environment. In the specific implementation, the fan 8 may be a variable frequency fan.

[0094] In one embodiment, referring to Figure 1 As shown in the figure, the intelligent cooling system for the exploration data center described above can further include a static pressure tank 9.

[0095] The air supply inlet of the static pressure tank 9 is connected to the air supply outlet of the air conditioning unit 2 through an air conveying pipeline.

[0096] The air supply outlet of the static pressure tank 9 is connected to the air supply inlet of the fan 8 through an air conveying pipeline.

[0097] The static pressure tank 9 is configured to input the cooling air output by the air conditioning unit 2 after adjusting the flow and pressure to the fan 8.

[0098] In the air conveying pipeline, the airflow may not be uniform in speed and may have turbulence when flowing in the pipeline. The static pressure tank 9 can gradually reduce the speed of the airflow and make it uniform after entering the fan 8, and reduce the degree of turbulence of the airflow, so as to stabilize the airflow, which helps to improve the operating efficiency and stability of the cooling system, reduce noise and vibration. In addition, the static pressure tank 9 can also adjust the pressure distribution in the air conveying pipeline, and adjust the pressure of the airflow to meet the air supply requirements of different areas. In summary, the static pressure tank 9 can stabilize the airflow, reduce noise, adjust the pressure, and improve the operating efficiency and stability of the cooling system.

[0099] In one embodiment, referring to Figure 1 As shown in the figure, the intelligent cooling system for the exploration data center described above includes a plurality of temperature sensors, including a first temperature sensor 5 and a second temperature sensor 6.

[0100] The first temperature sensor 5 is arranged on the outer wall of the server cabinet group 4 and is configured to collect the actual environment temperature data of the server cabinet group 4. The second temperature sensor 6 is arranged outdoors and is configured to collect the outdoor environment temperature data.

[0101] In one embodiment, the above-mentioned exploration data center intelligent refrigeration system, the fresh air processor 3 further comprises an air processor 10.

[0102] The air processor 10 is used to remove odors and impurities in the introduced outdoor fresh air.

[0103] The embodiment of the present application also provides an exploration data center intelligent refrigeration method, as shown in Figure 2 The implementation process can include the following steps:

[0104] S21, the control group 1 determines whether the outdoor fresh air used for refrigeration needs to pass through energy exchange according to the received outdoor environment temperature data and the actual environment temperature data of the server cabinet group 4, and if the determination result is no, the control group 1 sends a corresponding control signal to the fresh air processor 3 to control the fresh air processor 3 to introduce outdoor fresh air that has not passed through energy exchange to the air conditioning unit 2;

[0105] S22, the air conditioning unit 2 receives the outdoor fresh air introduced by the fresh air processor 3, and introduces the introduced outdoor fresh air as refrigeration wind into the room until the actual environment temperature value of the server cabinet group 4 reaches the set environment temperature value.

[0106] The exploration data center intelligent refrigeration method provided by the embodiment of the present application can reasonably utilize outdoor fresh air according to the real-time monitored actual environment temperature value of the server cabinet group 4 and the outdoor environment temperature value, save electricity as much as possible under the condition of ensuring the refrigeration capacity of the refrigeration system, and effectively save energy.

[0107] In one embodiment, the control group 1 can also obtain a corresponding refrigeration demand according to the calculated relationship between the received actual environment temperature value of the server cabinet group 4 and the set environment temperature value of the server cabinet group 4, and send a refrigeration amount demand control signal to the air conditioning unit 2 according to the refrigeration demand to control part of the air conditioning unit 2 to enter a working state.

[0108] In one embodiment, the control group 1 can also determine whether the difference between the actual environment temperature value of the server cabinet group 4 and the set environment temperature value is greater than a set difference threshold value, and determine whether the outdoor environment temperature value is greater than a set outdoor environment temperature threshold value according to the actual environment temperature value and the set environment temperature value of the server cabinet group.

[0109] If the difference is greater than a set difference threshold value, and the outdoor environment temperature value is greater than a set outdoor environment temperature threshold value, the air conditioning operation scheduling group 7 is sent an operation amount change signal that the air conditioning units 2 in the working state cannot meet the cooling demand of the server cabinet group 4; the control group 1 sends a corresponding operation amount feedback signal to the air conditioning operation scheduling group 7 according to the received operation amount change signal, controls the air conditioning units 2 to increase the number of air conditioners in the working state and / or reduce the cooling temperature of the air conditioners in the working state, until the actual environment temperature value of the server cabinet group 4 reaches the set environment temperature value.

[0110] In the above, if the difference between the actual environment temperature value of the server cabinet group 4 and the set environment temperature value is greater than a set difference threshold value, and the outdoor environment temperature value is greater than a set outdoor environment temperature threshold value, for example, the set difference threshold value can be 1℃, and the set outdoor environment temperature threshold value can be 25℃. For example, when the difference between the actual environment temperature value of the server cabinet group 4 and the set environment temperature value is 10℃, and the outdoor environment temperature is 30℃, it is obvious that the difference between the actual environment temperature value of the server cabinet group 4 and the set environment temperature value is greater than the set difference threshold value, and the outdoor environment temperature is also greater than the set outdoor environment temperature threshold value. The control group 1 judges that the air conditioners in the working state cannot meet the cooling demand, and then sends a corresponding operation amount change signal to the air conditioning operation scheduling group 7, and further adjusts the number of air conditioners in the working state and the cooling temperature of the air conditioners.

[0111] Therefore, the control group 1 can also adjust the number of air conditioners in the working state and the cooling temperature of the air conditioners in real time according to the judgment result of the judgment of the cooling capacity of the air conditioning units 2, so that the utilization rate and the cooling efficiency of the equipment can be effectively improved.

[0112] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and variations.

Claims

1. An intelligent cooling system for an exploration data center, characterized in that, include: Fresh air handling unit, control unit, air conditioning unit, several temperature sensors and server rack; The air outlet of the fresh air handling unit is connected to the air inlet of the air conditioning unit through an air duct; the control group is electrically connected to the fresh air handling unit and the air conditioning unit respectively; the several temperature sensors are used to collect outdoor ambient temperature data and actual ambient temperature data of the server rack group respectively. The control group is used to receive the collected outdoor ambient temperature data and the actual ambient temperature data of the server rack group, and to determine whether the outdoor fresh air used for cooling needs to undergo energy exchange based on the outdoor ambient temperature data and the actual ambient temperature data of the server rack group. If the determination result is no, a corresponding first control signal is sent to the fresh air handling unit to control the fresh air handling unit to introduce outdoor fresh air that has not undergone energy exchange into the air conditioning unit. The air conditioning unit is used to receive the outdoor fresh air introduced by the fresh air handling unit, and to use the introduced outdoor fresh air as cooling air to introduce it into the room until the actual ambient temperature of the server rack group reaches the set ambient temperature value.

2. The intelligent cooling system for the exploration data center as described in claim 1, wherein the control group is configured to determine, based on the received outdoor ambient temperature data and the actual ambient temperature data of the server rack group, whether the difference between the outdoor ambient temperature data and the actual ambient temperature data of the server rack group is greater than a set threshold; if the difference is greater than the set threshold, a first control signal is sent to the fresh air handling unit, the first control signal being used to instruct the fresh air handling unit to introduce outdoor fresh air that has not undergone energy exchange into the air conditioning unit; if the difference is less than or equal to the set threshold, a second control signal is sent to the fresh air handling unit, the second control signal being used to instruct the fresh air handling unit to introduce outdoor fresh air that has undergone energy exchange into the air conditioning unit.

3. In the intelligent cooling system for the exploration data center as described in claim 1, the control group is further configured to calculate the corresponding cooling demand based on the actual ambient temperature value of the collected server rack group and the set ambient temperature value of the server rack group; and to send a cooling demand control signal to the air conditioning unit based on the cooling demand, thereby controlling some of the air conditioners in the air conditioning unit to enter the working state.

4. The intelligent cooling system for the exploration data center as described in claim 3, characterized in that, The control group is used to calculate the cooling demand using the following formula: Cooling demand = Server power consumption / Heatsink efficiency / (Actual ambient temperature - Set ambient temperature); where: The server power consumption is the power consumption of the server rack group; The radiator efficiency is the heat dissipation efficiency of the radiators in the server group; The actual ambient temperature value is the actual ambient temperature value of the server rack group; The set ambient temperature value is the set ambient temperature value of the server rack group.

5. The intelligent cooling system for the exploration data center as described in claim 1, characterized in that, Also includes: Air conditioning operation dispatch team; The air conditioning operation scheduling group is electrically connected to the control group; The air conditioning operation scheduling group is used to receive the operation volume change signal sent by the control group, and send the corresponding operation volume feedback signal to the control group according to the operation volume change signal; The control group is also used to adjust the number of air conditioners in operation in the air conditioning unit and / or adjust the cooling temperature of the air conditioners in operation according to the received workload feedback signal, so that the actual ambient temperature value of the server rack group reaches the set ambient temperature value.

6. The intelligent cooling system for the exploration data center as described in claim 5, characterized in that, The control group is also used to determine whether the air conditioner of the air conditioning unit in operation can meet the cooling needs of the server rack group. If the determination result is no, the control group sends a corresponding workload change signal to the air conditioning operation group. The air conditioning operation scheduling group is used to send an operation feedback signal to the control group to increase the number of air conditioners in the air conditioning unit that have entered the working state, and / or decrease the cooling temperature of the air conditioners that are in the working state, based on the received operation change signal.

7. The intelligent cooling system for an exploration data center as described in any one of claims 3-6, characterized in that, Also includes: Fan; The air outlet of the air conditioning unit and the air inlet of the fan are connected by an air duct. The air supply inlet of the air conditioning unit and the air supply outlet of the fresh air handling unit are connected by an air duct. The air conditioning unit is also used to input cooling air of the corresponding air volume of the cooling demand control signal to the fan according to the received cooling demand control signal; and to send an air volume control signal to the fan to control the air volume at the air outlet of the fan. The fan is used to deliver cooling air of a volume corresponding to the received air volume control signal into the room to cool the environment where the server rack is located.

8. The intelligent cooling system for the exploration data center as described in claim 7, characterized in that, Also includes: Static pressure chamber; The air inlet of the static pressure box is connected to the air outlet of the air conditioning unit through an air duct. The air outlet of the static pressure box is connected to the air inlet of the fan through an air supply pipe. The static pressure box is used to adjust the cooling air output by the air conditioning unit to a set flow rate and pressure before inputting it into the fan.

9. The intelligent cooling system for an exploration data center as described in any one of claims 1-6, characterized in that, The plurality of temperature sensors include a first temperature sensor and a second temperature sensor. The first temperature sensor is installed on the outer wall of the server rack assembly to collect the actual ambient temperature data of the server rack assembly; the second temperature sensor is installed outdoors to collect the outdoor ambient temperature data.

10. The intelligent cooling system for an exploration data center as described in any one of claims 1-6, characterized in that, The fresh air handling unit also includes an air processor; The air processor is used to remove odors and impurities from the introduced outdoor fresh air.

11. An intelligent cooling method for an exploration data center, characterized in that, include: The control group determines whether the outdoor fresh air used for cooling needs to undergo energy exchange based on the received outdoor ambient temperature data and the actual ambient temperature data of the server rack group. If the determination result is no, the control group sends a corresponding control signal to the fresh air handling unit to control the fresh air handling unit to introduce outdoor fresh air that has not undergone energy exchange into the air conditioning unit. The air conditioning unit receives outdoor fresh air introduced by the fresh air handling unit and uses the introduced outdoor fresh air as cooling air to introduce it into the room until the actual ambient temperature of the server rack group reaches the set ambient temperature value.

12. The method as described in claim 11, characterized in that, The control group also calculates the corresponding cooling demand based on the relationship between the received actual ambient temperature value of the server rack group and the set ambient temperature value of the server rack group; and sends a cooling demand control signal to the air conditioning unit based on the cooling demand to control some of the air conditioners in the air conditioning unit to enter the working state. The control group determines whether the difference between the actual ambient temperature and the set ambient temperature of the server rack group is greater than a set difference threshold, and whether the outdoor ambient temperature is greater than a set outdoor ambient temperature threshold. If the difference is greater than the set difference threshold and the outdoor ambient temperature is greater than the set outdoor ambient temperature threshold, the control group sends a workload change signal to the air conditioning operation scheduling group indicating that the air conditioners in operation cannot meet the cooling demand of the server rack group. The air conditioning operation scheduling group sends a corresponding workload feedback signal to the control group based on the received workload change signal, controlling the air conditioning unit to increase the number of air conditioners in operation and / or decrease the cooling temperature of the air conditioners in operation until the actual ambient temperature of the server rack group reaches the set ambient temperature.

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