CN109974174B - Data machine room heat dissipation system and method based on neural fuzzy control - Google Patents
Data machine room heat dissipation system and method based on neural fuzzy control Download PDFInfo
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- CN109974174B CN109974174B CN201910314511.3A CN201910314511A CN109974174B CN 109974174 B CN109974174 B CN 109974174B CN 201910314511 A CN201910314511 A CN 201910314511A CN 109974174 B CN109974174 B CN 109974174B
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- 230000017525 heat dissipation Effects 0.000 title claims abstract description 54
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- 230000001537 neural effect Effects 0.000 title claims description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 142
- 238000001816 cooling Methods 0.000 claims abstract description 59
- 238000004321 preservation Methods 0.000 claims abstract description 35
- 238000012544 monitoring process Methods 0.000 claims abstract description 26
- 210000005036 nerve Anatomy 0.000 claims abstract description 10
- 238000007791 dehumidification Methods 0.000 claims description 17
- 238000013528 artificial neural network Methods 0.000 claims description 12
- 230000005611 electricity Effects 0.000 claims description 6
- 238000005057 refrigeration Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 abstract description 5
- 238000005265 energy consumption Methods 0.000 abstract description 5
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- 230000033228 biological regulation Effects 0.000 abstract description 2
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- 238000009423 ventilation Methods 0.000 description 3
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 2
- 238000004378 air conditioning Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 230000001965 increasing effect Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000001351 cycling effect Effects 0.000 description 1
- 239000002274 desiccant Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 210000002364 input neuron Anatomy 0.000 description 1
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
- F24F11/47—Responding to energy costs
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
- F24F5/0007—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning
- F24F5/0035—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning using evaporation
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20709—Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
- H05K7/20763—Liquid cooling without phase change
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20709—Modifications to facilitate cooling, ventilating, or heating for server racks or cabinets; for data centers, e.g. 19-inch computer racks
- H05K7/20836—Thermal management, e.g. server temperature control
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/20—Humidity
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- Microelectronics & Electronic Packaging (AREA)
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Abstract
The invention discloses a data machine room heat dissipation system based on nerve fuzzy control, which comprises an electric energy monitoring unit, a power supply unit and a power supply unit, wherein the electric energy monitoring unit is used for acquiring real-time electric energy parameters of equipment; the temperature and humidity monitoring unit is used for collecting real-time temperature and humidity parameters outside the machine room, the cooling and heat dissipation circulating unit, the controllable water curtain heat preservation unit and the machine room; the central control unit predicts the temperature and humidity of the machine room and outputs a control command to the cooling and heat dissipation circulating unit or/and the controllable water curtain heat preservation unit; the cooling heat dissipation circulation unit is used for executing a control command of the central control unit and adjusting the temperature and the humidity of the machine room; and the controllable water curtain heat preservation unit is used for executing the control command of the central control unit and adjusting the temperature of the machine room. The invention can dynamically adjust the temperature and humidity of the data machine room in real time, and achieves the effects of intelligent regulation control, trend prejudgment, energy saving management, energy consumption reduction, operation cost reduction and the like.
Description
Technical Field
The invention relates to the field of ventilation and heat dissipation and automatic control, in particular to a data machine room heat dissipation system and method based on nerve fuzzy control.
Background
The degree of informatization of the social development is larger and larger, the informatization is built by various servers and communication equipment, the energy consumption of the information equipment is mainly electricity, and the electric quantity occupied by the heat dissipation and cooling requirements of the information equipment is large. With the increase of the running power cost of the machine room, the expansion of the information network gradually increases the electricity charge expenditure of the machine room, and the proportion of the heat dissipation cooling electricity charge expenditure of the information equipment is larger. According to statistical analysis, the heat dissipation and cooling electricity expense of each information device is about 54% of the electricity expense of the whole machine room operation, and the air conditioner becomes the main power consumption device in the machine room operation.
The operation of the existing machine room is a totally-enclosed machine room, and power equipment, server equipment, transmission equipment and the like in the machine room are large heating elements. The temperature and humidity of a working environment of a machine room are kept (environmental standard GB50174-93 prescribes the annual temperature of 18-28 ℃ and the humidity of 40-70%), and the machine room is mainly realized by an air conditioner. The air conditioner is in an operating state (refrigeration) for most of 365 days a year, and is started even if the temperature is about 20 ℃ (the temperature also meets the working environment requirement of indoor equipment). Thus, the favorable conditions of outdoor low-temperature heat dissipation and cooling in winter, spring and autumn and in the early and late summer period are ignored, so that electric energy is unnecessarily wasted, and the operation cost is high.
The existing heat dissipation and cooling of the data machine room mostly uses the whole ventilation air conditioning control of the machine room, the fully-closed machine room is set in a certain temperature range, but the heat productivity of power supply equipment, server equipment, transmission equipment and the like in the machine room is different in different operation states, the heat dissipation requirements are different, the ventilation air conditioning system only executes the set parameters, the operation mode is not automatically changed according to the heat productivity and the environmental change, and unnecessary energy waste is caused.
Disclosure of Invention
In view of the above-mentioned shortcomings, the present invention aims to provide a data machine room heat dissipation system and method based on neuro fuzzy control, which combines prediction with on-line monitoring to perform optimal control on the operation parameters of a cooling heat dissipation system, and uses a water curtain as a heat preservation layer of the data machine room, so as to control the energy efficiency of the cooling heat dissipation system to be maximized and reduce the energy consumption cost under the condition of ensuring the environmental requirements of the data machine room.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a data machine room heat dissipation system based on nerve fuzzy control comprises
The electric energy monitoring unit is used for collecting real-time electric energy parameters of the equipment and uploading the real-time electric energy parameters to the central control unit;
the temperature and humidity monitoring unit is used for collecting real-time temperature and humidity parameters outside the machine room, the cooling and heat dissipation circulating unit, the controllable water curtain heat preservation unit and the machine room and uploading the real-time temperature and humidity parameters to the central control unit;
the central control unit obtains a predicted temperature and humidity value in the machine room through a BP neural network algorithm according to the real-time electric energy parameters of the equipment and the real-time temperature and humidity in the machine room, and outputs a control command to the cooling heat dissipation circulation unit and/or the controllable water curtain heat preservation unit through a fuzzy algorithm according to the real-time temperature and humidity parameters and the predicted temperature and humidity value;
the cooling heat dissipation circulation unit is used for executing a control command of the central control unit and adjusting the temperature and the humidity of the machine room;
and the controllable water curtain heat preservation unit is used for executing the control command of the central control unit and adjusting the temperature of the machine room.
As an improvement of the invention, the electric energy monitoring unit comprises a current transformer and a multifunctional electric energy meter, and the equipment comprises a server, a switch, a storage device and a UPS.
As an improvement of the invention, the cooling and radiating circulation unit comprises a fresh air pipeline, an air inlet pipeline, an air outlet pipeline, an air return pipeline, an air exhaust pipeline, a dehumidifying external air guide pipeline, a fresh air fan, a dehumidifying rotating wheel, an air inlet fan, an evaporator, a machine room air draft fan, a compressor, an expansion valve, a condenser, an electric heater, a dehumidifying external air guide fan and valves for controlling the opening and closing of the pipelines, wherein an outlet of the fresh air pipeline is connected with one side of a dry end of the dehumidifying rotating wheel, the other side of the dry end of the dehumidifying rotating wheel is connected with an inlet of the air inlet pipeline, an outlet of the air inlet pipeline is connected with an air inlet of a data machine room, an air outlet of the data machine room is connected with an inlet of the air outlet pipeline, the air outlet pipeline outlet is respectively connected with an air return pipeline inlet, an air exhaust pipeline inlet and an dehumidifying outer air guide pipeline outlet, the air return pipeline outlet is connected with a fresh air pipeline, the fresh air pipeline inlet, the dehumidifying outer air guide pipeline inlet and the air exhaust pipeline outlet are all connected with the outside, a fresh air fan is arranged in the fresh air pipeline and positioned at the downstream of the air return pipeline inlet, an air inlet fan is arranged in the air inlet pipeline, an evaporator is arranged at the air inlet pipeline outlet, a condenser, an electric heater and a dehumidifying rotating wheel wet end are sequentially arranged in the air exhaust pipeline along the air exhaust direction, and the evaporator, the compressor, the condenser and an expansion valve are sequentially connected to form a refrigeration loop.
Further, the cooling and heat dissipation circulation unit also comprises a fresh air bypass pipeline, one end of the fresh air bypass pipeline is connected to the fresh air pipeline between the fresh air fan and the dehumidifying rotating wheel, and the other end of the fresh air bypass pipeline is connected to the air inlet pipeline between the dehumidifying rotating wheel and the air inlet fan.
As an improvement of the invention, the controllable water curtain heat preservation unit comprises a compressor, a condenser, an expansion valve, a water curtain inner wall heat exchanger, a water curtain outer wall, a water curtain wall conduction water pipe and a water curtain wall pump, wherein the water curtain inner wall heat exchanger, the compressor, the condenser and the expansion valve are sequentially connected to form a refrigeration loop, the water curtain inner wall heat exchanger is connected with the water curtain inner wall and used for supplying cold to the water curtain inner wall, the water curtain inner wall is arranged on the inner side of a data machine room wall, the water curtain outer wall is arranged on the outer side of the data machine room wall, the water curtain wall conduction water pipe is communicated with the water curtain inner wall and the water curtain outer wall, and the water curtain wall pump is arranged on the water curtain wall conduction water pipe.
As an improvement of the invention, the temperature and humidity monitoring unit comprises an outdoor temperature and humidity sensor arranged at the inlet of the fresh air pipeline, an air inlet temperature and humidity sensor arranged at the inlet of the fresh air pipeline and positioned at the downstream of the inlet of the return air pipeline, a dehumidified temperature and humidity sensor arranged in the air inlet pipeline, a machine room temperature and humidity sensor arranged in a data machine room, a water curtain inner wall temperature sensor arranged in a water curtain inner wall, a water curtain outer wall temperature sensor arranged in a water curtain outer wall and a return air temperature and humidity sensor arranged in the return air pipeline.
A data machine room heat dissipation method based on nerve fuzzy control comprises the following steps:
step 1, acquiring real-time electric energy parameters of equipment and uploading the parameters to a central control unit;
step 2, collecting real-time temperature and humidity parameters outside the machine room, in each region of the cooling and heat dissipation circulating unit, in each region of the controllable water curtain heat preservation unit and in the machine room, and uploading the parameters to the central control unit;
step 3, the central control unit calculates a predicted temperature and humidity value in the machine room through a BP neural network algorithm according to the real-time electric energy parameters of the equipment and the real-time temperature and humidity in the machine room, and outputs a control command to the cooling heat dissipation circulation unit and/or the controllable water curtain heat preservation unit through a fuzzy algorithm according to the real-time temperature and humidity parameters and the predicted temperature and humidity value;
and 4, executing the control command by the cooling heat dissipation circulation unit or/and the controllable water curtain heat preservation unit, and adjusting the temperature and the humidity in the machine room.
Compared with the prior art, the invention has the beneficial effects that:
according to the real-time electric energy parameters of equipment and the real-time temperature and humidity in the machine room, the heat change in the data machine room is predicted by utilizing a BP neural network algorithm, and according to the real-time temperature and humidity parameters outside the machine room, in each region of the cooling and radiating circulating unit, in each region of the controllable water curtain heat preservation unit and in the machine room, a control command is output to the cooling and radiating circulating unit to dynamically adjust the temperature and humidity in the machine room in real time through a fuzzy algorithm, and a control command is output to the controllable water curtain heat preservation unit to preserve heat and regulate the temperature of the data machine room, so that the effects of intelligent regulation control, trend prejudgement, energy conservation management, energy consumption reduction, operation cost reduction and the like are achieved.
Drawings
FIG. 1 is a schematic flow chart of a data room heat dissipation system based on neural fuzzy control of the present invention;
fig. 2 is a schematic structural diagram of the data room cooling system based on neural fuzzy control according to the present invention, in which a central control unit is not shown;
FIG. 3 is a schematic diagram of the BP neural network algorithm of the present invention;
FIG. 4 is a schematic diagram of a fuzzy algorithm of the present invention;
FIG. 5 is a schematic diagram of the control logic of the controllable water curtain thermal insulation unit of the present invention;
reference numerals illustrate: 1-a fresh air valve; 2-a primary filter; 3-a fresh air fan; 4-fresh air dehumidifying inlet air valve; 5-a dehumidifying rotor; 6-a fresh air bypass air valve; 7-a fresh air dehumidifying outlet air valve; 8-a neutral-effect filter; 9-an air supply fan; 10-an evaporator control valve; 11-an evaporator; 12-a water curtain interior wall heat exchanger control valve; 13-water curtain interior wall heat exchanger; 14-a water curtain inner wall; 15-a data machine room wall; 16-a water curtain outer wall; 17-a water curtain wall water conducting pipe; 18-a water curtain wall pump; 19-an exhaust valve of a machine room; 20-an exhaust fan of a machine room; 21-a compressor; a 22-expansion valve; 23-copper pipe; 24-an exhaust inner air valve; 25-a return air valve; 26-dehumidifying an external induced draft fan; a 27-condenser; 28-an electric heater; 29-an exhaust isolation net; 30-an exhaust air external air valve; 31-an outer barrier net for dehumidification; 32-an induced air valve except for dehumidification;
101-an outdoor temperature and humidity sensor; 102-an air inlet temperature and humidity sensor; 103, a humiture sensor after dehumidification; 104, a machine room temperature and humidity sensor; 105-a water curtain inner wall temperature sensor; 106-a water curtain outer wall temperature sensor; 107-return air temperature and humidity sensor.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
As shown in fig. 1 to 5, the data machine room heat dissipation system based on nerve fuzzy control of the invention comprises a central control unit, and an electric energy monitoring unit, a temperature and humidity monitoring unit, a cooling heat dissipation circulation unit and a controllable water curtain heat preservation unit which are respectively connected and communicated with the central control unit. The cooling heat dissipation circulation unit and the controllable water curtain heat preservation unit are combined to form a cooling heat dissipation system.
The electric energy monitoring unit mainly comprises a current transformer, a multifunctional electric meter and the like, is connected in series on a power line of the equipment, acquires electric energy parameters of the equipment in real time, and uploads the electric energy parameters to the central control unit. The electrical energy parameters include, but are not limited to, information such as current, voltage, power, etc., for predicting the heating value of the device. The device mainly refers to information equipment, and comprises, but is not limited to, servers, switches, storage devices, UPS and other electric equipment. Meanwhile, each information device is also matched with a temperature sensor for collecting the temperature of the device and uploading the temperature to the central control unit.
The temperature and humidity monitoring unit comprises temperature and humidity sensors arranged outside the machine room, in each area of the cooling and heat dissipation circulating unit, in each area of the controllable water curtain heat preservation unit and in the machine room, wherein specific positions and numbers are described in detail in the specific structures of the cooling and heat dissipation circulating unit and the controllable water curtain heat preservation unit below, real-time temperature and humidity parameters outside the machine room, in each area of the cooling and heat dissipation circulating unit, in each area of the controllable water curtain heat preservation unit and in the machine room are obtained in real time, and are uploaded to the central control unit.
The central control unit is a computer special for industrial control, the hardware structure of the central control unit is basically the same as that of a microcomputer, the BP neural network algorithm and the fuzzy algorithm are embedded in the software part, monitoring data are received through a signal interface, and then a control command is output to a cooling and radiating system after processing. As shown in fig. 3, the central control unit invokes the BP neural network algorithm, uses data obtained by electric energy monitoring (electric energy monitoring unit) and environment monitoring (temperature and humidity monitoring unit) as input variables of neurons between input layers, and calculates a temperature and humidity predicted value in the data machine room through processing of corresponding hidden layers. As shown in fig. 4, after obtaining the predicted value of the temperature and humidity in the data room, the central control unit invokes a fuzzy algorithm, obtains the adjustment parameters of the operation of the cooling and heat dissipation system by using the environmental monitoring data, the predicted value of the temperature and humidity in the data room, the operation parameters of the cooling and heat dissipation circulation unit and the operation parameters of the controllable water curtain heat preservation unit as input variables, and sends the adjustment parameters to the cooling and heat dissipation system. According to the method, the electric energy parameters of the equipment are used as input neurons of the BP neural network algorithm, so that the temperature and the humidity of the machine room can be dynamically adjusted according to the variation trend of the heat productivity of the equipment, meanwhile, the specific heat capacity of the wall of the data machine room is increased through the water curtain, the heat preservation effect of the data machine room is improved, and the effects of reducing energy consumption, operating cost and the like are achieved. It should be noted that, the BP neural network algorithm and the fuzzy algorithm are both existing algorithms, and specific implementation processes thereof are not described herein.
The cooling heat dissipation circulation unit and the controllable water curtain heat preservation unit are combined to form a cooling heat dissipation system, and air supply, air exhaust, air return, refrigeration, dehumidification and water curtain heat preservation are coupled to adjust the temperature and the humidity in the data machine room, and the specific structure is shown in figure 2.
The cooling and heat dissipation circulation unit comprises a fresh air pipeline, an air inlet pipeline, an air outlet pipeline, an air return pipeline, an air exhaust pipeline outside dehumidification, a fresh air fan 3, a dehumidification rotating wheel 5, an air inlet fan 9, an evaporator 11, a machine room air draft fan 20, a compressor 21, an expansion valve 22, an air exhaust fan 26 outside dehumidification, a condenser 27, an electric heater 28 and valves for controlling the on-off of the pipelines.
The fresh air pipeline, the fresh air bypass pipeline, the air inlet pipeline, the air outlet pipeline, the return air pipeline, the exhaust pipeline and the dehumidifying external induced air pipeline form an air circulation pipeline system. The fresh air pipeline entry is equipped with fresh air blast gate 1 and just imitates filter 2 in proper order, and fresh air pipeline export links to each other with the dry end (lower extreme in the figure) one side of dehumidification runner 5, and carries out the break-make through fresh air dehumidification inlet blast gate 4, and fresh air fan 3 sets up in the fresh air pipeline that is located fresh air dehumidification inlet blast gate 4 upper reaches. The other side of the dry end of the dehumidifying rotating wheel 5 is connected with an inlet of an air inlet pipeline and is connected with a fresh air dehumidifying outlet air valve 7, a medium-efficiency filter 8 and an air supply fan 9 are sequentially arranged in the air inlet pipeline at the downstream of the fresh air dehumidifying outlet air valve 7, and an outlet of the air inlet pipeline is connected with an air inlet of a data machine room. One end of the fresh air bypass pipeline is connected to the fresh air pipeline between the fresh air fan 3 and the fresh air dehumidifying inlet air valve 4, and the other end of the fresh air bypass pipeline is connected to the air inlet pipeline between the fresh air dehumidifying outlet air valve 7 and the medium-efficiency filter 8 and is connected to the on-off state through the fresh air bypass air valve 6 in the fresh air bypass pipeline. The data computer lab air outlet passes through computer lab exhaust valve 19 and links to each other with the air-out pipeline entry, is equipped with computer lab air exhauster 20 in the air-out pipeline, and the air-out pipeline exit links to each other with return air pipeline entry through return air valve 25, links to each other with exhaust pipeline entry and dehumidification outer induced air pipeline export simultaneously through the interior air valve 24 of airing exhaust. The outlet of the return air pipeline is connected to a fresh air pipeline between the primary filter 2 and the fresh air fan 3. The outlet of the exhaust pipeline is sequentially provided with an exhaust isolation net 29 and an exhaust external air valve 30. The inlet of the dehumidifying external induced air pipeline is sequentially provided with a dehumidifying external induced air valve 32, a dehumidifying external isolation net 31 and a dehumidifying external induced draft fan 26.
The dehumidifying rotating wheel 5 is used as a dehumidifying system of the unit, a wet end (upper end in the figure) is connected with an exhaust pipeline and is positioned at the upstream of an exhaust isolation net 29, an electric heater 28 is arranged at the upstream of the dehumidifying rotating wheel 5, and two sides of a dry end are respectively connected with a fresh air pipeline and an air inlet pipeline. It should be noted that the wet end and the dry end are set only for clearly showing the connection relationship between the components, and are not intended to limit the internal structure of the desiccant rotor 5, and it can be simply understood that the dry end absorbs the moisture of the air in the fresh air channel, and is discharged through the exhaust channel after the wet end is precipitated.
The evaporator 11, the compressor 21, the condenser 27, the expansion valve 22, the evaporator control valve 10 and the evaporator 11 are sequentially connected through the copper pipe 23 to form a refrigerating system of the unit, and the refrigerating system is used for refrigerating air entering a data machine room. The evaporator 11 is arranged at the outlet of the air inlet pipeline, and the condenser 27 is arranged in the air exhaust pipeline and is positioned between the outlet of the air guide pipeline and the electric heater 27 except for dehumidification. The working principle of the refrigeration system is the prior art and is not described in detail herein.
The controllable water curtain heat preservation unit comprises a water curtain inner wall heat exchanger 13, a water curtain inner wall 14, a water curtain outer wall 16, a water curtain wall conduction water pipe 17, a water curtain wall pump 18, a compressor 21, an expansion valve 22 and a condenser 27. The water curtain inner wall heat exchanger 13, the compressor 21, the condenser 27, the expansion valve 22, the water curtain inner wall heat exchanger control valve 12 and the water curtain inner wall heat exchanger 13 are sequentially connected through the copper pipe 23 to form the water curtain refrigerating system of the unit. The water curtain inner wall heat exchanger 13 is connected with the water curtain inner wall 14 and is used for supplying cold to the water curtain inner wall 14, the water curtain inner wall 14 is arranged on the inner side of the data machine room wall 15, the water curtain outer wall 16 is arranged on the outer side of the data machine room wall 15, the water curtain inner wall 14 and the water curtain outer wall 16 are communicated through a water curtain wall conducting water pipe 17, and the water curtain wall pump 18 is arranged on the water curtain wall conducting water pipe 17.
The water curtain inner wall 14 and the water curtain outer wall 16 use the characteristic of relatively large specific heat capacity of water to serve as heat insulation layers of the inner side and the outer side of the wall 15 of the data machine room, so that the heat insulation effect of the data machine room is improved. As shown in fig. 5, when the outdoor temperature is low, the water on both sides of the data room wall 15 is replaced by the water curtain wall pump 18, so that the indoor heat is taken out; when the indoor temperature and the outdoor temperature are both higher, the water curtain wall at the inner side of the data machine room wall 15 is cooled by the water curtain refrigerating system.
The temperature and humidity monitoring unit comprises an outdoor temperature and humidity sensor 101 arranged at the inlet of the fresh air pipeline, an air inlet temperature and humidity sensor 102 arranged at the fresh air pipeline and positioned at the downstream of the inlet of the return air pipeline, a post-dehumidification temperature and humidity sensor 103 arranged in the air inlet pipeline, a machine room temperature and humidity sensor 104 arranged in a data machine room, a water curtain inner wall temperature sensor 105 arranged in the water curtain inner wall 14, a water curtain outer wall temperature sensor 106 arranged in the water curtain outer wall 16 and a return air temperature and humidity sensor 107 arranged in the return air pipeline.
The method for adjusting the temperature and the humidity of the data machine room by the data machine room cooling system comprises the following steps:
step 1, acquiring real-time electric energy parameters of equipment and uploading the parameters to a central control unit;
step 2, collecting real-time temperature and humidity parameters outside the machine room, in each region of the cooling and heat dissipation circulating unit, in each region of the controllable water curtain heat preservation unit and in the machine room, and uploading the parameters to the central control unit;
step 3, the central control unit calculates a predicted temperature and humidity value in the machine room through a BP neural network algorithm according to the real-time electric energy parameters of the equipment and the real-time temperature and humidity in the machine room, and outputs a control command to the cooling heat dissipation circulation unit and/or the controllable water curtain heat preservation unit through a fuzzy algorithm according to the real-time temperature and humidity parameters and the predicted temperature and humidity value;
and 4, executing the control command by the cooling heat dissipation circulation unit or/and the controllable water curtain heat preservation unit, and adjusting the temperature and the humidity in the machine room.
The following describes a specific working procedure of the heat dissipation system of the data room according to the present invention with reference to fig. 2:
and step 1, setting temperature and humidity operation parameters of a data machine room.
Step 2, collecting environment data of each area of the system: the outdoor temperature and humidity sensor 101 collects real-time temperature and humidity values outside a machine room; the air inlet temperature and humidity sensor 102 collects real-time temperature and humidity values of fresh air; the humiture sensor 103 collects real-time humiture values of the supplied air after dehumidification; the machine room temperature and humidity sensor 104 collects real-time temperature and humidity values in the data machine room; the water curtain inner wall temperature sensor 105 collects a temperature real-time value of the water curtain inner wall 14; the water curtain outer wall temperature sensor 106 collects real-time temperature values of the water curtain outer wall 16; the return air temperature and humidity sensor 107 collects real-time values of the temperature and humidity of the return air.
And step 3, the central control unit acquires monitoring data of the temperature and humidity monitoring unit and the electric energy monitoring unit, and acquires operation data of the cooling heat dissipation circulating unit and the controllable water curtain heat preservation unit.
And 4, collecting electric energy parameters of equipment placed in the data machine room, predicting the temperature and the humidity of the data machine room by using a BP neural network algorithm according to the change of the electric energy parameters, the real-time temperature and humidity value collected by the machine room temperature and humidity sensor 104 and the temperature and humidity change of the history time, obtaining the temperature and humidity change trend of the data machine room, and calculating the cooling demand of the data machine room.
And 5, determining the operation parameters of the cooling and radiating system by using a fuzzy algorithm according to the cold required quantity of the data machine room calculated in the step 4, the real-time temperature and humidity value acquired in the step 2, and the operation data of the cooling and radiating circulating unit and the controllable water curtain heat preservation unit, and adjusting and outputting the operation parameters of the cooling and radiating system.
Step 6, increasing the operation frequency of the compressor 21 when the real-time value of the temperature of the machine room, acquired by the temperature and humidity sensor 104 of the machine room, is higher than a set value range; when the real-time value of the room temperature acquired by the room temperature and humidity sensor 104 is lower than the set value range, the operation frequency of the compressor 21 is reduced.
And 7, controlling the wind speed by the air supply fan 9 according to the cooling capacity required by the data machine room.
Step 8, executing an external circulation mode when the real-time value of the outdoor temperature acquired by the outdoor temperature and humidity sensor 101 is smaller than a set value; when the outdoor temperature real-time value acquired by the outdoor temperature and humidity sensor 101 is greater than the set value, the internal circulation mode is executed.
Step 9, when the real-time value of the machine room humidity acquired by the machine room temperature and humidity sensor 104 is larger than a set value, opening the fresh air dehumidifying inlet air valve 4, opening the fresh air dehumidifying outlet air valve 7, closing the fresh air bypass air valve 6 and operating the dehumidifying rotating wheel 5; when the real-time value of the machine room humidity collected by the machine room temperature and humidity sensor 104 is smaller than the set value, the fresh air dehumidifying inlet air valve 4 is closed, the fresh air dehumidifying outlet air valve 7 is closed, the fresh air bypass air valve 6 is opened, and the dehumidifying rotating wheel 5 is stopped.
Step 10, when the external circulation mode is operated, the exhaust external air valve 30 is opened, the exhaust internal air valve 24 is opened, the fresh air valve 2 is opened, and the return air valve 25 is closed; when the internal circulation mode is operated, the exhaust air external air valve 30 is closed, the exhaust air internal air valve 24 is closed, the fresh air valve 2 is closed, and the return air valve 25 is opened.
Step 11, when the temperature of the inner water curtain wall acquired by the temperature sensor 105 of the inner water curtain wall is higher than the temperature of the outer water curtain wall acquired by the temperature sensor 106 of the outer water curtain wall, starting the water curtain wall pump 18 to exchange the water in the inner water curtain wall 14 and the water in the outer water curtain wall 16; when the temperature of the water curtain inner wall collected by the water curtain inner wall temperature sensor 105 is smaller than the temperature of the water curtain outer wall collected by the water curtain outer wall temperature sensor 106, the water curtain wall pump 18 stops, the compressor 21 of the cooling and radiating system operates, the water curtain inner wall heat exchanger control valve 12 is opened, and the temperature of the water curtain inner wall 14 is reduced.
Step 12, when the external circulation mode is operated, the compressor 21 is operated, the dehumidifying runner 5 is operated, and the exhaust external air valve 30 is opened when one of the conditions is met; and conversely, the exhaust air outlet valve 30 is closed.
Step 13, when the internal circulation mode is operated, the compressor 21 is operated or the dehumidifying rotating wheel 5 is operated, the dehumidifying external air inlet valve 32 is opened, and the dehumidifying external fan 26 is operated; otherwise, the dehumidifying external air-inducing valve 32 is closed and the dehumidifying external fan 26 is stopped.
And 14, when the dehumidification rotating wheel 5 is in operation, regulating the output heat of the electric heater 28 according to the output heat of the condenser 27, so as to ensure that the total output heat is larger than the moisture discharge demand of the dehumidification rotating wheel 5.
Step 15, continuously cycling the steps 1 to 14.
The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement the same, and are not intended to limit the scope of the present invention. All equivalent changes or modifications made in accordance with the essence of the present invention are intended to be included within the scope of the present invention.
Claims (5)
1. A data computer lab cooling system based on neural fuzzy control, its characterized in that: comprising
The electric energy monitoring unit is used for collecting real-time electric energy parameters of the equipment and uploading the real-time electric energy parameters to the central control unit;
the temperature and humidity monitoring unit is used for collecting real-time temperature and humidity parameters outside the machine room, the cooling and heat dissipation circulating unit, the controllable water curtain heat preservation unit and the machine room and uploading the real-time temperature and humidity parameters to the central control unit;
the central control unit obtains a predicted temperature and humidity value in the machine room through a BP neural network algorithm according to the real-time electric energy parameters of the equipment and the real-time temperature and humidity in the machine room, and outputs a control command to the cooling heat dissipation circulation unit and/or the controllable water curtain heat preservation unit through a fuzzy algorithm according to the real-time temperature and humidity parameters and the predicted temperature and humidity value;
the cooling heat dissipation circulation unit is used for executing a control command of the central control unit and adjusting the temperature and the humidity of the machine room;
a controllable water curtain heat preservation unit for executing the control command of the central control unit and adjusting the temperature of the machine room, wherein,
the cooling heat dissipation circulation unit comprises a fresh air pipeline, an air inlet pipeline, an air outlet pipeline, an air return pipeline, an air exhaust pipeline, a dehumidifying outer air guide pipeline, a fresh air fan, a dehumidifying rotating wheel, an air inlet fan, an evaporator, a machine room exhaust fan, a compressor, an expansion valve, a condenser, an electric heater, a dehumidifying outer induced fan and valves for controlling the opening and closing of the pipelines, wherein an outlet of the fresh air pipeline is connected with one side of a dry end of the dehumidifying rotating wheel, the other side of the dry end of the dehumidifying rotating wheel is connected with an inlet of the air inlet pipeline, an outlet of the air inlet pipeline is connected with an air inlet of a data machine room, an air outlet of the data machine room is connected with an inlet of the air outlet pipeline, an outlet of the air outlet pipeline is connected with an inlet of the air return pipeline, an inlet of the fresh air pipeline, an inlet of the dehumidifying outer air guide pipeline and an outlet of the dehumidifying outer air guide pipeline are connected with the outside, the fresh air fan is arranged in the fresh air inlet pipeline and is arranged at the downstream of the inlet of the air return pipeline, the evaporator is arranged at the outlet of the air inlet pipeline, the condenser, the electric heater and the dehumidifying rotating wheel are sequentially arranged in the air exhaust pipeline along the direction, and the air outlet of the evaporator, the condenser and the air outlet of the evaporator and the expansion valve are sequentially connected to form a refrigerating loop;
the controllable water curtain heat preservation unit comprises a compressor, a condenser, an expansion valve, a water curtain inner wall heat exchanger, a water curtain outer wall, a water curtain wall conduction water pipe and a water curtain wall pump, wherein the water curtain inner wall heat exchanger, the compressor, the condenser and the expansion valve are sequentially connected to form a refrigeration loop, the water curtain inner wall heat exchanger is connected with the water curtain inner wall and used for cooling the water curtain inner wall, the water curtain inner wall is arranged on the inner side of a data machine room wall, the water curtain outer wall is arranged on the outer side of the data machine room wall, the water curtain wall conduction water pipe is communicated with the water curtain inner wall and the water curtain outer wall, and the water curtain wall pump is arranged on the water curtain wall conduction water pipe.
2. The data room cooling system based on nerve fuzzy control of claim 1, wherein: the electric energy monitoring unit comprises a current transformer and a multifunctional electricity meter, and the equipment comprises a server, a switch, storage equipment and a UPS.
3. The data room cooling system based on nerve fuzzy control of claim 1, wherein: the cooling and heat dissipation circulation unit also comprises a fresh air bypass pipeline, one end of the fresh air bypass pipeline is connected to the fresh air pipeline between the fresh air fan and the dehumidifying rotating wheel, and the other end of the fresh air bypass pipeline is connected to the air inlet pipeline between the dehumidifying rotating wheel and the air inlet fan.
4. The data room cooling system based on nerve fuzzy control of claim 1, wherein: the temperature and humidity monitoring unit comprises an outdoor temperature and humidity sensor arranged at an inlet of a fresh air pipeline, an air inlet temperature and humidity sensor arranged at the fresh air pipeline and positioned at the downstream of an inlet of an air return pipeline, a temperature and humidity sensor arranged in the air inlet pipeline after dehumidification, a machine room temperature and humidity sensor arranged in a data machine room, a water curtain inner wall temperature sensor arranged in a water curtain inner wall, a water curtain outer wall temperature sensor arranged in a water curtain outer wall and an air return temperature and humidity sensor arranged in the air return pipeline.
5. A data machine room heat dissipation method based on nerve fuzzy control is characterized in that: the data room cooling system based on nerve fuzzy control of any one of claims 1 to 4, comprising the steps of:
step 1, acquiring real-time electric energy parameters of equipment and uploading the parameters to a central control unit;
step 2, collecting real-time temperature and humidity parameters outside the machine room, in each region of the cooling and heat dissipation circulating unit, in each region of the controllable water curtain heat preservation unit and in the machine room, and uploading the parameters to the central control unit;
step 3, the central control unit calculates a predicted temperature and humidity value in the machine room through a BP neural network algorithm according to the real-time electric energy parameters of the equipment and the real-time temperature and humidity in the machine room, and outputs a control command to the cooling heat dissipation circulation unit and/or the controllable water curtain heat preservation unit through a fuzzy algorithm according to the real-time temperature and humidity parameters and the predicted temperature and humidity value;
and 4, executing the control command by the cooling heat dissipation circulation unit or/and the controllable water curtain heat preservation unit, and adjusting the temperature and the humidity in the machine room.
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| CN111897261B (en) * | 2020-07-29 | 2023-01-03 | 上海御威通信科技有限公司 | Comprehensive management system and method for data center machine room environment |
| CN113141757B (en) * | 2021-03-31 | 2022-05-17 | 浙江一舟电子科技股份有限公司 | Data center humidity compensation system based on evaporation device and ventilation device |
| CN112991331B (en) * | 2021-04-19 | 2021-10-26 | 广州大一互联网络科技有限公司 | Operation and maintenance method and device of data center using insulating cooling liquid |
| CN113251482B (en) * | 2021-05-09 | 2022-03-22 | 武汉兴得科技有限公司 | Intelligent building integrated linkage management system and method |
| CN113296563B (en) * | 2021-05-09 | 2022-02-15 | 武汉兴得科技有限公司 | Machine room management system and method based on Internet of things technology |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101957046A (en) * | 2010-09-21 | 2011-01-26 | 北京怡和瑞信科技发展有限责任公司 | Base station/machine room intelligent air-conditioner power-saving control system |
| CN102927627A (en) * | 2012-11-05 | 2013-02-13 | 江苏国莱特空调设备有限公司 | Condensation heat recovery type movable temperature and humidity control device |
| CN204426176U (en) * | 2014-12-18 | 2015-07-01 | 杭州千岛秀菇生物科技有限公司 | A kind of water curtain type mushroom room cooling heatstroke prevention wall |
| CN206755418U (en) * | 2017-03-27 | 2017-12-15 | 上海工程技术大学 | A kind of pump type heat rotary dehumidifier |
| CN207214290U (en) * | 2017-08-01 | 2018-04-10 | 浙江捷峰环境科技有限公司 | A kind of heat pump energy saving low-temp recovery Novel wind-dehumidifier |
| JP2018132230A (en) * | 2017-02-14 | 2018-08-23 | 富士通株式会社 | Temperature predication system and temperature prediction method |
-
2019
- 2019-04-18 CN CN201910314511.3A patent/CN109974174B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101957046A (en) * | 2010-09-21 | 2011-01-26 | 北京怡和瑞信科技发展有限责任公司 | Base station/machine room intelligent air-conditioner power-saving control system |
| CN102927627A (en) * | 2012-11-05 | 2013-02-13 | 江苏国莱特空调设备有限公司 | Condensation heat recovery type movable temperature and humidity control device |
| CN204426176U (en) * | 2014-12-18 | 2015-07-01 | 杭州千岛秀菇生物科技有限公司 | A kind of water curtain type mushroom room cooling heatstroke prevention wall |
| JP2018132230A (en) * | 2017-02-14 | 2018-08-23 | 富士通株式会社 | Temperature predication system and temperature prediction method |
| CN206755418U (en) * | 2017-03-27 | 2017-12-15 | 上海工程技术大学 | A kind of pump type heat rotary dehumidifier |
| CN207214290U (en) * | 2017-08-01 | 2018-04-10 | 浙江捷峰环境科技有限公司 | A kind of heat pump energy saving low-temp recovery Novel wind-dehumidifier |
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