CN205980187U - Intelligent optimization control system at cold station of data center - Google Patents
Intelligent optimization control system at cold station of data center Download PDFInfo
- Publication number
- CN205980187U CN205980187U CN201620827866.4U CN201620827866U CN205980187U CN 205980187 U CN205980187 U CN 205980187U CN 201620827866 U CN201620827866 U CN 201620827866U CN 205980187 U CN205980187 U CN 205980187U
- Authority
- CN
- China
- Prior art keywords
- cold
- cooling
- water
- station
- data center
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/54—Free-cooling systems
Landscapes
- Air Conditioning Control Device (AREA)
Abstract
The utility model provides an intelligent optimization control system at cold station of data center. This intelligent optimization control system at cold station of data center is including cold quick -witted parameter monitoring devices, outdoor parameter monitoring devices, cooling water temperature monitoring devices, refrigerated water temperature monitoring devices, refrigerated water flow monitoring devices, cooling tower parameter monitoring devices, pressure differential monitoring devices and fault diagnosis device. The utility model discloses a scheme through data of monitoring each monitoring devices and the running state who cools the station capital equipment, provides corresponding intelligent optimization control strategy, including the optimal operation of cold machine with the water pump, and effective matching of cooling tower and cold machine, the refrigerated water temperature sets up to and freely get and cool and so on, can realize the energy -efficient operation at cold station, be favorable to the cold efficiency of standing of centralized monitoring data center, saving operation management expense is and effectively reduce the energy consumption.
Description
Technical field
This utility model is related to refrigerating field, the intelligent optimizing control system at the cold station of more particularly to a kind of data center.
Background technology
Compared to general building system, the air conditioning requirements of data center have following main feature：Load is big, the time
Long；Efficiency has high demands；Security requirement is high.The cold station control system of data center can achieve local control, long-range prison substantially at present
Control, Realtime Alerts, graphic interface, data storage and trend such as show at the function, but because air-conditioner water system is more complicated, data
There are strict requirements at center to air-conditioning water temperature, the reason such as numerous electromechanical equipment operation energy consumptions are huge, and most of cold stand controls are also deposited
In a lot of problems.
For example：Multiple stage cold is usually run with the poorly efficient operating mode of relatively low refrigeration percentage ratio, and the cold number of units opened is more, related
Electromechanical equipment also need to put into operation, cause energy loss.Refrigerating water pump and cooling pump employ frequency conversion rotating speed control, actual motion transfer
Speed controls the overall optimal energy consumption being not bound with cold station to be controlled.Most of cooling towers are opened using control corresponding with cold number of units
Open, often in tower, blower fan is not all turned on, also non-high-speed cruising, it is higher that this will result in cooling tower energy consumption, but heat dispersion is not good,
Also affect the refrigerating efficiency of cold.The rotating speed of refrigerating water pump is unreasonable, leads to air conditioning terminal to supply chilled water deficiency or pump energy consumption relatively
Greatly.
Utility model content
A purpose of the present utility model is to provide for a kind of intelligent optimal control at the cold station of data center of energy efficient
System.
This utility model one further objective is that the intelligence degree of the equipment at the cold station of data center to be improved.
Especially, this utility model provides a kind of intelligent optimizing control system at the cold station of data center.This data center
The intelligent optimizing control system at cold station includes：Cold parameter monitor device, is connected with the cold group at cold station, to monitor cold group
Operational factor；Outdoor parameter monitor device, is arranged at the outdoor environment at cold station, to monitor temperature and the humidity of outdoor environment；Cold
But coolant-temperature gage monitoring device, is arranged at the entrance of cooling water and the exit that the cooling tower at cold station is supplied, to monitor cooling
The inflow temperature of water and leaving water temperature；Variable Cooling Water Flow amount controller, with cold parameter monitor device, outdoor parameter monitoring dress
Put, cooling water temperature monitoring device connects, with according to the operational factor of cold group, the temperature of outdoor environment and humidity and cooling
The inflow temperature of water and leaving water temperature determine the rotating speed of the cooling pump at cold station；And cooling pump drive, its respectively with cooling
Water vari- able flow control device and cooling pump are connected, with the rotational speed driving cooling pump to be determined with Variable Cooling Water Flow amount controller.
Alternatively, the intelligent optimizing control system at the cold station of this data center also includes：Chilled water temperature monitoring device, setting
The entrance of the chilled water of Yu Lengzhan and exit, to monitor inflow temperature and the leaving water temperature of chilled water；Chilled-water flow is supervised
Survey device, be arranged at entrance and the exit of the chilled water at cold station, to monitor the flow of the chilled water flowing through cold station；Cold control
Device processed, is connected with chilled water temperature monitoring device, chilled-water flow monitoring device and cooling water temperature monitoring device, with basis
The inflow temperature of chilled water and leaving water temperature, flow through the flow of chilled water at cold station and the inflow temperature of cooling water determines cold
The unlatching number of units of group；And cold driving means, it is connected with cold controller and cold group respectively, to drive cold group with cold
The unlatching number of units that machine controller determines starts.
Alternatively, the intelligent optimizing control system at the cold station of this data center also includes：Cooling tower parameter monitor device, and cold
The cooling tower stood connects, to monitor the operational factor of cooling tower；Cooling tower controller, with cooling tower parameter monitor device, cold
Parameter monitor device, cooling water temperature monitoring device connect, with according to the operational factor of cooling tower, the operational factor of cold group,
The leaving water temperature of cooling water determines the rotating speed of the fan of cooling tower；And fan drive device, with cooling tower controller, cooling tower
Fan connect, with the rotational speed driving fan to determine with cooling tower controller.
Alternatively, the intelligent optimizing control system at the cold station of this data center also includes：Pressure reduction monitoring device, is stood and cold with cold
The air-conditioning stood connects, to monitor the confession backwater pressure of the pressure of the chilled water deriving cold station and the pressure of the chilled water of air conditioning terminal
Difference；Chilled water vari- able flow control device, is connected with pressure reduction monitoring device, cold parameter monitor device, chilled water temperature monitoring device,
With according to the refrigerating water pump determining cold station for backwater pressure reduction, the operational factor of cold group, the inflow temperature of chilled water and leaving water temperature
Rotating speed；And freezing pump drive, it is connected with chilled water vari- able flow control device and refrigerating water pump respectively, to drive refrigerating water pump
The rotational speed being determined with chilled water vari- able flow control device.
Alternatively, the intelligent optimizing control system at the cold station of this data center also includes：User interaction means, with cold control
Device connects, to obtain the control parameter of the cold controller of user setup.
Alternatively, the cold station of data center includes：Cold group, is made up of multiple stage cold, and is configured with following inside it
The coolant of ring freezes to chilled water；Natural cooling heat exchange device, is configured with cooling water and chilled water is freezed；Cooling
Tower, is connected respectively with cold group and natural cooling heat exchange device, and is configured to cold to cold group or the supply of natural cooling heat exchange device
But water, to cool down the coolant in cold group or directly chilled water to be cooled down, and the intelligent optimization at the cold station of data center
Control system also includes：Cooling water switching device, is connected between cooling tower and cold group and natural cooling heat exchange device, configuration
Become cooling water is fed to one of cold group and natural cooling heat exchange device, so that in cold group and natural cooling heat exchange device
One startup.
Alternatively, the intelligent optimizing control system at the cold station of this data center also includes：Natural cooling controller, with cooling water
Switching device and outdoor parameter monitor device connect, and are less than preset value time control cooling water switching dress with the temperature in outdoor environment
Put and cooling water is fed to natural cooling heat exchange device, so that natural cooling heat exchange device starts, directly chilled water is entered using cooling water
Row cooling.
Alternatively, the intelligent optimizing control system at the cold station of this data center also includes：Trouble-shooter, with cold parameter
Monitoring device, outdoor parameter monitor device, cooling water temperature monitoring device, chilled water temperature monitoring device, chilled-water flow prison
Survey device, cooling tower parameter monitor device and pressure reduction monitoring device to connect respectively, with the operation according to Monitoring Data and cold
The fault at the cold station of parameter diagnosis.
The intelligent optimizing control system at the cold station of data center of the present utility model, can by monitor control system each
The data of monitoring device and the running status of cold station capital equipment, provide corresponding intelligent optimizing control strategy, including
The optimization of cold and water pump runs, and cooling tower is effectively matched with cold, and chilled water temperature is arranged, and free cooling etc.,
The energy-efficient operation at cold station can be realized, be conducive to the efficiency at the cold station of Centralized Monitoring data center, save operational and administrative expenses,
And effective reducing energy consumption.
Further, the intelligent optimizing control system at the cold station of data center of the present utility model includes trouble-shooter,
With cold parameter monitor device, outdoor parameter monitor device, cooling water temperature monitoring device, chilled water temperature monitoring device, cold
Freeze water flow monitor, cooling tower parameter monitor device and pressure reduction monitoring device connect respectively, with according to Monitoring Data and
The operational factor of cold diagnoses the fault at cold station, and management personnel can be helped preferably to manage cold station system, simultaneously can be to scene
Some guiding opinions of operator, are conducive to the efficiency avoiding the maloperation of cold station system and improving cold station system.
According to the detailed description to this utility model specific embodiment below in conjunction with accompanying drawing, those skilled in the art will be more
Plus understand of the present utility model above-mentioned and other purposes, advantages and features.
Brief description
Describe in detail more of the present utility model specifically real hereinafter with reference to the accompanying drawings by way of example, and not by way of limitation
Apply example.In accompanying drawing, identical reference denotes same or similar part or part.It should be appreciated by those skilled in the art that
These accompanying drawings are not necessarily drawn to scale.In accompanying drawing：
Fig. 1 is in data in intelligent optimizing control system according to the cold station of data center of one embodiment of this utility model
The structured flowchart at the cold station of the heart；
Fig. 2 is the structural frames of the intelligent optimizing control system at the cold station of data center according to one embodiment of this utility model
Figure；
Fig. 3 is the structure of the intelligent optimizing control system at the cold station of data center according to another embodiment of this utility model
Block diagram；
Fig. 4 is the structure of the intelligent optimizing control system at the cold station of data center according to another embodiment of this utility model
Block diagram；
Fig. 5 is the structure of the intelligent optimizing control system at the cold station of data center according to another embodiment of this utility model
Block diagram；
Fig. 6 is the structure of the intelligent optimizing control system at the cold station of data center according to another embodiment of this utility model
Block diagram；And
Fig. 7 is the structure of the intelligent optimizing control system at the cold station of data center according to another embodiment of this utility model
Block diagram.
Specific embodiment
Fig. 1 is in data in intelligent optimizing control system according to the cold station of data center of one embodiment of this utility model
The structured flowchart at the cold station 200 of the heart.As illustrated, the cold station 200 of this data center can include：Cooling tower 201, cold group 202, cold
But pump 204, refrigerating water pump 205, load 206.High temperature chilled water after using can persistently be introduced simultaneously by the cold station 200 of this data center
Cooled down, cooling medium is the cooling water in the internal persistent loop in the cold station of data center 200.
Wherein, cooling water, after cooling tower 201 cooling, can select to import cold group 202, cold group 202 can include
The cold of multiple stage independent operating, to open the cold of corresponding number of units as needed.Two can be provided with solely inside cold group 202
Vertical pipeline, flows into and carries out with coolant respectively heat exchange for chilled water and cooling water respectively, and high temperature chilled water is handed over coolant heat
After changing, transfer heat to coolant, coolant transfers heat to cooling water again, to complete whole refrigerant circulation process.Chilled water
It is provided that giving load 206 after being flowed out by cold group 202.Cooling pump 204 and refrigerating water pump 206 are used for driving cooling water and freezing
Water circulates in the cold station 200 of whole data center.
Fig. 2 is the knot of the intelligent optimizing control system 100 at the cold station of data center according to one embodiment of this utility model
Structure block diagram, the intelligent optimizing control system 100 at the cold station of this data center can be in station 200 cold to the data center of a upper embodiment
Each equipment carry out intelligent optimal control, to reduce overall energy consumption.As illustrated, the intelligent optimal control at the cold station of this data center
System 100 can include：Cold parameter monitor device 11, outdoor parameter monitor device 12, cooling water temperature monitoring device 13, cold
But water vari- able flow control device 10 and cooling pump drive 14.
Wherein, cold parameter monitor device 11, is connected with the cold group at cold station, to monitor the operational factor of cold group.Room
Outer parameter monitor device 12, is arranged at the outdoor environment at cold station, to monitor temperature and the humidity of outdoor environment.Cooling water temperature is supervised
Survey device 13, be arranged at the entrance of cooling water and the exit that the cooling tower at cold station is supplied, to monitor the water inlet of cooling water
Temperature and leaving water temperature.Variable Cooling Water Flow amount controller 10, with cold parameter monitor device 11, outdoor parameter monitor device 12,
Cooling water temperature monitoring device 13 connects, with according to the operational factor of cold group, the temperature of outdoor environment and humidity and cooling
The inflow temperature of water and leaving water temperature determine the rotating speed of the cooling pump at cold station.Cooling pump drive 14, its respectively with cooling water
Vari- able flow control device 10 and cooling pump are connected, with the rotational speed driving cooling pump to be determined with Variable Cooling Water Flow amount controller 10.
It is the key factor affecting cold unit performance that Variable Cooling Water Flow amount controls, and the size of cooling water flow is not only directly determined
Determine the energy consumption of cooling pump, and have an effect on the energy consumption of cold.Variable Cooling Water Flow amount control technology can be to frequency conversion cooling pump
Rotating speed carries out real-time regulation, this technology from energy saving of system angle, using ADAPTIVE CONTROL, with the fine-tuning mode of uniqueness
Accurate adjustment cooling water flow is to optimum it is ensured that ensureing the suitable operating condition of cold while reducing cooling pump power consumption.
The intelligent optimizing control system 100 at the cold station of data center of the present embodiment, after cold stable operation, according to cold
Operational factor, outdoor temperature and humidity conditions and coolant water temperature change historical trend, Automatic adjusument cools down revolution speed, in section
The power consumption of about cooling pump takes into account the Effec-tive Function of cold simultaneously.
Fig. 3 is the intelligent optimizing control system 100 at the cold station of data center according to another embodiment of this utility model
Structured flowchart.On the basis of a upper embodiment, the intelligent optimizing control system 100 at the cold station of this data center can include：Cold
Freeze coolant-temperature gage monitoring device 21, chilled-water flow monitoring device 22, cold controller 20 and cold driving means 23.
Wherein, chilled water temperature monitoring device 21, is arranged at entrance and the exit of the chilled water at cold station, cold to monitor
Freeze inflow temperature and the leaving water temperature of water.Chilled-water flow monitoring device 22, is arranged at the entrance of chilled water at cold station and goes out
At mouthful, to monitor the flow of the chilled water flowing through cold station.Cold controller 20, with chilled water temperature monitoring device 21, chilled water
Flow monitoring device 22 and cooling water temperature monitoring device 13 connect, with the inflow temperature according to chilled water and leaving water temperature,
The inflow temperature of the flow and cooling water that flow through the chilled water at cold station determines the unlatching number of units of cold group.Cold driving means
23, it is connected with cold controller 20 and cold group respectively, with the unlatching number of units driving cold group to determine with cold controller 20
Start.
The observable index (Coefficient of Performance, abbreviation COP) of the cold under different load is different.To certain
For the cold of a little models, run under mistake high load capacity or excessively underload and the COP of cold all can be led to too low, cause cold energy consumption
Increase, thus increasing the operation energy consumption at the cold station of whole data center.Frequency conversion cold automatically adds/unloads optimal control logic and can fill
Point consider cold, refrigerating water pump, the energy consumption of cooling pump, seek the optimized running operating mode of cold, realize cold run with high COP or
System high efficiency runs.
In some other embodiment, the intelligent optimizing control system 100 at the cold station of data center can also include：User hands over
Mutually device, is connected with cold controller 20, to obtain the control parameter of the cold controller 20 of user setup.Wherein cold controls
The control parameter of device 20 can be the leaving water temperature of chilled water.
The water outlet temperature setting value of chilled water is often maintained some setting value by unit operation personnel, for most
For application scenario, this is not energy-conservation.Because for air conditioning system, the air conditioner load most time is below it
Big design load.In general, the water outlet temperature setting value of most of time chilled water all can improve.Even if in fully loaded
In the case of, the excess configuration of air sidepiece part (air processing machine, fan coil etc.) also allows the leaving water temperature of chilled water permissible
There is raising slightly.The leaving water temperature of chilled water is higher, and the amount of energy saving of cold is bigger.The leaving water temperature of chilled water can improve many
It is primarily limited to less meet the demand of refrigerating capacity and two aspects of dehumidification.In the cold station of data center, cold units consumption
Account for the overwhelming majority of entirely cold station energy consumption, therefore how to reduce cold energy consumption to greatest extent most important.Chilled water go out water temperature
Degree is higher, and the COP of cold is higher, is more beneficial to reduce the overall energy consumption at cold station.The leaving water temperature of chilled water often increases by 1 DEG C, fixed frequency
The performance of cold will increase by 2%, and the performance of frequency conversion cold will increase by 5～7%.Therefore the leaving water temperature of chilled water is allowed to adjust
Whole system, can reach the purpose of energy-conservation by improving the water outlet temperature setting value of chilled water.Above concrete numerical value only as a example
Lift, and not to restriction of the present utility model.
On the premise of ensureing amenity, can going out according to outdoor temperature or system loading self-correcting system chilled water
Coolant-temperature gage sets with energy saving, and the demand that may also set up limits to control peak value energy consumption.Chilled water is applied in finished item
Leaving water temperature optimization reset, user can check the leaving water temperature of the chilled water of current optimization by user interaction means.
The intelligent optimizing control system 100 at the cold station of data center of the present embodiment enters water temperature by real-time monitoring chilled water
Degree and leaving water temperature, the flow of chilled water, thus computing system load, and then together analyze with the inflow temperature of cooling water, obtain
Go out the optimum start-up number of units of cold, automatically carry out plus/unloading judges, intelligent Matching system loading.
Fig. 4 is the intelligent optimizing control system 100 at the cold station of data center according to another embodiment of this utility model
Structured flowchart.On the basis of a upper embodiment, the intelligent optimizing control system 100 at the cold station of this data center can include：Cold
But tower parameter monitor device 31, cooling tower controller 30 and fan drive device 32.
Wherein, cooling tower parameter monitor device 31, is connected with the cooling tower at cold station, to monitor the operational factor of cooling tower.
Cooling tower controller 30, with cooling tower parameter monitor device 31, cold parameter monitor device 11, cooling water temperature monitoring device 13
Connect, so that the fan of cooling tower is determined according to the leaving water temperature of the operational factor of cooling tower, the operational factor of cold group, cooling water
Rotating speed.Fan drive device 32, is connected with the fan of cooling tower controller 30, cooling tower, to drive fan with cooling tower control
The rotational speed that device 30 processed determines.
Cooling tower will be the low energy consumption fortune at entirely cold station as one of cold station visual plant, its efficient use
Row plays very important effect.Although the ratio that the operation energy consumption of cooling tower accounts for the entirely energy consumption at cold station is less, control cold
But the quality of tower mode can directly influence the operational efficiency of cold group, be also determine whole system efficiency compare so as to see who is superior main
One of factor.By real-time monitoring outdoor temperature humidity, and analyze in real time, judge cooling tower according to cold and system operation situation
Optimum uses number of units, thus optimizing the operational efficiency of the intelligent optimizing control system at the cold station of whole data center, reduces system
Operation energy consumption.Cold can be avoided to greatest extent because of high-lift and surge simultaneously.Cooling tower number of units Optimized-control Technique breaches
Traditional cold and the one-to-one method of operation of cooling tower, by reducing cooler-water temperature, thus reduce the operation energy of cold
Consumption, have also contemplated that the balance between the energy consumption that the energy consumption of cooling tower increase and cold reduce simultaneously.In practical engineering project, cold
But tower fan VFC is using widely.Under specific operating condition, especially components of system as directed load operation when, cooling
Tower fan high-speed cruising can bring the increase of cooling tower fan energy consumption, but cooling tower fan low cruise can lead to cooling water to go out
Coolant-temperature gage is too high, is unfavorable for cold operating condition, increases energy consumption.Thus the frequency conversion optimal control logic of cooling tower fan is needed
Energy consumption that the cold that balance causes because of cooling water leaving water temperature height increases and the fan that the high rotating speed of cooling tower fan brings increase
Energy consumption, and then ensure cold station Effec-tive Function.
The intelligent optimizing control system 100 at the cold station of data center of the present embodiment, the frequency conversion optimal control of cooling tower fan
Logic can pass through real-time monitoring outdoor climate conditions, and analyzes the Inlet and outlet water of cold and cooling tower running state, cooling water in real time
Temperature, dynamic self-adapting cooling tower rotation speed of the fan, thus reduce the operation energy consumption at the cold station of whole data center.
Fig. 5 is the intelligent optimizing control system 100 at the cold station of data center according to another embodiment of this utility model
Structured flowchart.On the basis of a upper embodiment, the intelligent optimizing control system 100 at the cold station of this data center can include：Pressure
Difference monitoring device 41, chilled water vari- able flow control device 40, freezing pump drive 42.
Wherein, pressure reduction monitoring device 41, is connected with the air-conditioning at cold station and cold station, to monitor the pressure of the chilled water deriving cold station
The confession backwater pressure reduction of the pressure of chilled water of power and air conditioning terminal.Chilled water vari- able flow control device 40, with pressure reduction monitoring device 41,
Cold parameter monitor device 11, chilled water temperature monitoring device 21 connect, with according to the operation ginseng for backwater pressure reduction, cold group
Number, the inflow temperature of chilled water and leaving water temperature determine the rotating speed of the refrigerating water pump at cold station.Freezing pump drive 42, its respectively with
Chilled water vari- able flow control device 40 and refrigerating water pump are connected, with the rotating speed driving refrigerating water pump to be determined with chilled water vari- able flow control device 40
Rotate.
The intelligent optimizing control system 100 at the cold station of data center of the present embodiment, can be according to for backwater pressure reduction, chilled water
Inflow temperature and leaving water temperature, operational factor of cold group etc. automatically adjust the rotating speed of refrigerating water pump, in the electricity saving cooling pump
The Effec-tive Function simultaneously taking into account cold can be consumed.
Fig. 6 is the intelligent optimizing control system 100 at the cold station of data center according to another embodiment of this utility model
Structured flowchart.The cold station of data center of wherein the present embodiment includes：Cold group 202, is made up of multiple stage cold, and is configured with
In the coolant of its inner loop, chilled water is freezed；Natural cooling heat exchange device 203, is configured with cooling water to chilled water
Freezed；Cooling tower 201, is connected respectively with cold group 202 and natural cooling heat exchange device 203, and is configured to cold group
202 or natural cooling heat exchange device 203 cooling water supply, to cool down the coolant in cold group 202 or directly chilled water to be carried out
Cooling.
The intelligent optimizing control system 100 at the cold station of data center of the present embodiment can include：Cooling water switching device 51
With natural cooling controller 50.
Wherein, cooling water switching device 51, is connected to cooling tower 201 and cold group 202 and natural cooling heat exchange device 203
Between, be configured to for cooling water to feed to one of cold group 202 and natural cooling heat exchange device 203 so that cold group 202 with
And one of natural cooling heat exchange device 203 starts.
Natural cooling controller 50, is connected with cooling water switching device 51 and outdoor parameter monitor device 12, with outdoor
Cooling water is fed to natural cooling heat exchange device 203 less than preset value time control cooling water switching device 51 by the temperature of environment, so that
Natural cooling heat exchange device 203 starts, and directly chilled water is cooled down using cooling water.
In the winter time and excessive season night, it is possible to use free cooling substitutes mechanical refrigeration wholly or in part, thus
Reduce the energy consumption at the cold station of data center.Using free cooling technology, data center's air-conditioning Centralized Monitoring can be reduced to greatest extent
The energy consumption of system, especially in the northern area that outdoor temperature is low, energy-saving effect is clearly.
The intelligent optimizing control system 100 at the cold station of data center of the present embodiment, can optimize logic by free cooling
Real-time monitoring outdoor temperature humidity, the relation of dynamic analysis system load and free cooling refrigerating capacity, automatically enable or forbid free
Take cold.Then it is directed to different regions, takes appropriate measures, utilize free cooling pattern as far as possible, reduce the energy at entirely cold station
Consumption.
Fig. 7 is the intelligent optimizing control system 100 at the cold station of data center according to another embodiment of this utility model
Structured flowchart.On the basis of above example, the intelligent optimizing control system 100 at the cold station of data center of the present embodiment also wraps
Include：Trouble-shooter 60.
Trouble-shooter 60, with cold parameter monitor device 11, outdoor parameter monitor device 12, cooling water temperature monitoring
Device 13, chilled water temperature monitoring device 21, chilled-water flow monitoring device 22, cooling tower 201 parameter monitor device 31 and
Pressure reduction monitoring device 41 connects respectively, diagnoses the fault at cold station with the operational factor according to Monitoring Data and cold.
Monitoring device quantity more (temperature, pressure and the flow of the intelligent optimizing control system 100 at the cold station of data center
Deng), and arrange dispersion, the calibration operation applying and lacking rule for a long time can lead to the reading of each monitoring device to be forbidden
Really, the even substantial deviation normal range having.The accuracy of monitoring device reading is directly connected to the fault at the cold station of data center
The accuracy of diagnosis, monitoring device reading is unreasonable may to lead to cold station failure diagnosis to draw irrational result, so, to prison
Survey device to carry out diagnosing the premise being cold station failure is diagnosed.
The trouble-shooter 60 of the present embodiment is designed as inline diagnosis, by reading the data of cold each monitoring device of standing
And the running status of cold station capital equipment, the problem that under diagnosis current working, cold station exists automatically, management personnel can be helped more preferable
Ground manages cold station, can offer guidance and suggestion to live operator simultaneously, be conducive to avoiding maloperation and the raising at cold station
The efficiency at cold station.Wherein it is possible to by the graphical interfaces of user interaction means Lai " being switched on/off " certain diagnostic rule, when certain
It may appear that flicker bright light is pointed out during the triggering of bar diagnostic rule.For part diagnostic rule, can show in last time of fire alarming section
Energy consumption waste, time of origin and the persistent period of last warning can be shown on interface simultaneously.
So far, although those skilled in the art will appreciate that herein detailed illustrate and describe of the present utility model many
Individual exemplary embodiment, but, in the case of without departing from this utility model spirit and scope, still can be public according to this utility model
The content opened directly determines or derives other variations or modifications of many meeting this utility model principle.Therefore, this practicality is new
The scope of type is it is understood that and regard as covering other variations or modifications all these.
Claims (8)
1. a kind of intelligent optimizing control system at the cold station of data center is it is characterised in that include：
Cold parameter monitor device, is connected with the cold group at described cold station, to monitor the operational factor of described cold group；
Outdoor parameter monitor device, is arranged at the outdoor environment at described cold station, to monitor temperature and the humidity of described outdoor environment；
Cooling water temperature monitoring device, is arranged at the entrance of cooling water and the exit that the cooling tower at described cold station is supplied,
To monitor inflow temperature and the leaving water temperature of described cooling water；
Variable Cooling Water Flow amount controller, with described cold parameter monitor device, outdoor parameter monitor device, cooling water temperature monitoring
Device connects, with according to the operational factor of described cold group, the temperature of described outdoor environment and humidity and described cooling water
Inflow temperature and leaving water temperature determine the rotating speed of the cooling pump at described cold station；And
Cooling pump drive, it is connected with described Variable Cooling Water Flow amount controller and described cooling pump respectively, described to drive
The rotational speed that cooling pump is determined with described Variable Cooling Water Flow amount controller.
2. the intelligent optimizing control system at the cold station of data center according to claim 1 is it is characterised in that also include：
Chilled water temperature monitoring device, is arranged at the entrance of chilled water and the exit at described cold station, to monitor described freezing
The inflow temperature of water and leaving water temperature；
Chilled-water flow monitoring device, is arranged at the entrance of chilled water and the exit at described cold station, is flowed through described with monitoring
The flow of the chilled water at cold station；
Cold controller, with described chilled water temperature monitoring device, chilled-water flow monitoring device and described cooling water temperature
Monitoring device connects, with the flow of the inflow temperature according to described chilled water and leaving water temperature, the chilled water flowing through described cold station
And the inflow temperature of described cooling water determines the unlatching number of units of described cold group；And
Cold driving means, it is connected with described cold controller and described cold group respectively, to drive described cold group with institute
The unlatching number of units stating the determination of cold controller starts.
3. the intelligent optimizing control system at the cold station of data center according to claim 2 is it is characterised in that also include：
Cooling tower parameter monitor device, is connected with the cooling tower at described cold station, to monitor the operational factor of described cooling tower；
Cooling tower controller, with described cooling tower parameter monitor device, cold parameter monitor device, cooling water temperature monitoring device
Connect, to be determined according to the leaving water temperature of the operational factor of described cooling tower, the operational factor of described cold group, described cooling water
The rotating speed of the fan of described cooling tower；And
Fan drive device, is connected with the fan of described cooling tower controller, described cooling tower, to drive described fan with described
The rotational speed that cooling tower controller determines.
4. the intelligent optimizing control system at the cold station of data center according to claim 3 is it is characterised in that also include：
Pressure reduction monitoring device, is connected with the air-conditioning at described cold station and described cold station, to monitor the chilled water deriving described cold station
The confession backwater pressure reduction of the pressure of chilled water of pressure and described air conditioning terminal；
Chilled water vari- able flow control device, with described pressure reduction monitoring device, described cold parameter monitor device, chilled water temperature monitoring
Device connects, with according to described confession backwater pressure reduction, the operational factor of described cold group, the inflow temperature of described chilled water and water outlet
Temperature determines the rotating speed of the refrigerating water pump at described cold station；And
Freezing pump drive, it is connected with described chilled water vari- able flow control device and described refrigerating water pump respectively, described to drive
The rotational speed that refrigerating water pump is determined with described chilled water vari- able flow control device.
5. the intelligent optimizing control system at the cold station of data center according to claim 2 is it is characterised in that also include：
User interaction means, are connected with described cold controller, to obtain the control ginseng of the described cold controller of user setup
Number.
6. the intelligent optimizing control system at the cold station of data center according to claim 1, the cold station of wherein said data center
Including：Described cold group, is made up of multiple stage cold, and is configured with coolant in its inner loop to chilled water system
Cold；Natural cooling heat exchange device, is configured with cooling water and described chilled water is freezed；Cooling tower, with described cold group with
And described natural cooling heat exchange device connects respectively, and it is configured to supply to described cold group or described natural cooling heat exchange device described
Cooling water, to cool down the coolant in described cold group or directly described chilled water to be cooled down, and described data center
The intelligent optimizing control system at cold station characterized by further comprising：
Cooling water switching device, is connected between described cooling tower and described cold group and described natural cooling heat exchange device, joins
Be set to and described cooling water fed to one of described cold group and described natural cooling heat exchange device so that described cold group with
And one of described natural cooling heat exchange device starts.
7. the intelligent optimizing control system at the cold station of data center according to claim 6 is it is characterised in that also include：
Natural cooling controller, is connected with described cooling water switching device and described outdoor parameter monitor device, with described room
Control described cooling water switching device that described cooling water is fed to described natural cooling when the temperature of external environment is less than preset value to change
Hot device, so that described natural cooling heat exchange device starts, is directly cooled down to described chilled water using described cooling water.
8. the intelligent optimizing control system at the cold station of data center according to claim 4 is it is characterised in that also include：
Trouble-shooter, with described cold parameter monitor device, described outdoor parameter monitor device, described cooling water temperature prison
Survey device, described chilled water temperature monitoring device, described chilled-water flow monitoring device, described cooling tower parameter monitor device with
And described pressure reduction monitoring device connects respectively, with the operational factor according to Monitoring Data and described cold diagnose described cold station therefore
Barrier.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620827866.4U CN205980187U (en) | 2016-08-02 | 2016-08-02 | Intelligent optimization control system at cold station of data center |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620827866.4U CN205980187U (en) | 2016-08-02 | 2016-08-02 | Intelligent optimization control system at cold station of data center |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN205980187U true CN205980187U (en) | 2017-02-22 |
Family
ID=58028682
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201620827866.4U Active CN205980187U (en) | 2016-08-02 | 2016-08-02 | Intelligent optimization control system at cold station of data center |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN205980187U (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107449104A (en) * | 2017-07-04 | 2017-12-08 | 珠海格力电器股份有限公司 | Cold station test device and cold station method of testing |
| CN108488969A (en) * | 2018-03-23 | 2018-09-04 | 北京百度网讯科技有限公司 | Control method and control device for handpiece Water Chilling Units |
| CN110195928A (en) * | 2019-06-19 | 2019-09-03 | 中国电子系统工程第二建设有限公司 | A kind of high-efficiency and energy-saving type power station water cooler adding and subtracting load control system |
| CN114087830A (en) * | 2021-11-17 | 2022-02-25 | 浙江晨浩智能科技有限公司 | Efficient and energy-saving industrial cooling water system and control method |
| CN114340299A (en) * | 2020-09-30 | 2022-04-12 | 维谛技术有限公司 | Refrigeration station system and control method |
| CN114704919A (en) * | 2022-03-23 | 2022-07-05 | 博锐尚格科技股份有限公司 | Method and device for determining cold supply interruption of cold station, electronic equipment and storage medium |
| US11441788B2 (en) * | 2018-05-11 | 2022-09-13 | Kyungdong Navien Co., Ltd. | Method and system for determining hot water use by using temperature gap |
| CN117519054A (en) * | 2023-12-11 | 2024-02-06 | 广州智业节能科技有限公司 | High-efficient cold station control system |
-
2016
- 2016-08-02 CN CN201620827866.4U patent/CN205980187U/en active Active
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107449104A (en) * | 2017-07-04 | 2017-12-08 | 珠海格力电器股份有限公司 | Cold station test device and cold station method of testing |
| CN107449104B (en) * | 2017-07-04 | 2023-07-04 | 珠海格力电器股份有限公司 | Cold station testing device and cold station testing method |
| CN108488969A (en) * | 2018-03-23 | 2018-09-04 | 北京百度网讯科技有限公司 | Control method and control device for handpiece Water Chilling Units |
| US11441788B2 (en) * | 2018-05-11 | 2022-09-13 | Kyungdong Navien Co., Ltd. | Method and system for determining hot water use by using temperature gap |
| CN110195928A (en) * | 2019-06-19 | 2019-09-03 | 中国电子系统工程第二建设有限公司 | A kind of high-efficiency and energy-saving type power station water cooler adding and subtracting load control system |
| CN114340299A (en) * | 2020-09-30 | 2022-04-12 | 维谛技术有限公司 | Refrigeration station system and control method |
| CN114087830A (en) * | 2021-11-17 | 2022-02-25 | 浙江晨浩智能科技有限公司 | Efficient and energy-saving industrial cooling water system and control method |
| CN114704919A (en) * | 2022-03-23 | 2022-07-05 | 博锐尚格科技股份有限公司 | Method and device for determining cold supply interruption of cold station, electronic equipment and storage medium |
| CN117519054A (en) * | 2023-12-11 | 2024-02-06 | 广州智业节能科技有限公司 | High-efficient cold station control system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN205980187U (en) | Intelligent optimization control system at cold station of data center | |
| CN104134100B (en) | A kind of energy-saving management system based on cloud computing | |
| CN100523635C (en) | Intelligent cluster control system of central air-conditioning | |
| CN206724424U (en) | Computer room operation energy consumption real-time monitoring and regulating system | |
| CN105135577B (en) | The cooling system that air-cooled natural cooling is combined with handpiece Water Chilling Units | |
| CN105650838A (en) | Energy-saving control system for data center | |
| CN110895016A (en) | Fuzzy self-adaptive based energy-saving group control method for central air-conditioning system | |
| CN103375878A (en) | Group control method for central air conditioning refrigerating unit | |
| CN104197446A (en) | Dynamic double-cold-source pre-cooling energy-saving air conditioning system | |
| CN204902127U (en) | Terminal coordinated control's of air conditioner water system and air conditioner economizer | |
| CN102878639A (en) | Automatic control method based on water-cooled air conditioner internal unit | |
| CN107062472A (en) | Double cold source refrigerating systems that natural cooling unit is combined with centrifugal water chillers | |
| CN106765860A (en) | A kind of control system and method for nuclear power station central air-conditioning | |
| CN205897444U (en) | Energy -conserving air conditioning equipment of cold group of planes accuse based on load forecast | |
| CN115930369A (en) | Central air-conditioning system energy-saving method based on intelligent control | |
| CN203323266U (en) | Air-cooling direct-current variable-frequency magnetic-levitation water chilling unit with natural cold source | |
| CN212132815U (en) | Intelligent cold station control system | |
| CN113218040A (en) | Energy efficiency improvement control method for central air-conditioning system | |
| CN210441402U (en) | Automatic control device of air conditioning system | |
| CN107036232A (en) | A kind of hospital's water cool-storage technology system cold operational energy efficiency optimal control method and device | |
| CN1570500A (en) | Energy conservation operation control method for water-cooled central air-conditioning systems | |
| CN206247552U (en) | Central air-conditioning automatic optimal energy-saving controller | |
| CN207179931U (en) | A kind of HVAC energy consumption control system based on state recognition | |
| CN114234669B (en) | Dry-wet combined cooling tower control system and working method | |
| CN107883525A (en) | A kind of central air-conditioning intelligence energy-saving operation control system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |