CN115315155A - Intelligent management system for enterprise machine room equipment - Google Patents
Intelligent management system for enterprise machine room equipment Download PDFInfo
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- CN115315155A CN115315155A CN202210983403.7A CN202210983403A CN115315155A CN 115315155 A CN115315155 A CN 115315155A CN 202210983403 A CN202210983403 A CN 202210983403A CN 115315155 A CN115315155 A CN 115315155A
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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
- H05K7/20718—Forced ventilation of a gaseous coolant
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25B—REFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
- F25B21/00—Machines, plants or systems, using electric or magnetic effects
- F25B21/02—Machines, plants or systems, using electric or magnetic effects using Peltier effect; using Nernst-Ettinghausen effect
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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
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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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- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
Abstract
The invention discloses an intelligent management system for enterprise machine room equipment, which comprises a load information acquisition module and a historical operation data acquisition module, wherein the output of the load information acquisition module is connected with a parameter conversion module in a switching way, the output end of the parameter conversion module is connected with an intelligent training module, and the output end of the intelligent training module is connected with an operation cost compression module. According to the invention, the load information of the server can be acquired by the arrangement of the load information acquisition module, and further converted into the required cooling capacity and the required humidification capacity generated by the load, the calculation formula of the air outlet parameter of the cooling channel about the operation parameters of the constant-temperature and constant-humidity precise air conditioning unit, the semiconductor refrigeration device and the electrode humidifier can be solved by optimizing the arrangement of the historical data operation data acquisition module and the intelligent training module, and further the dynamic regulation and control of the regulation and control parameters of the constant-temperature and constant-humidity precise air conditioning unit, the semiconductor refrigeration device and the electrode humidifier can be realized according to the dynamic change of the load, so that the energy conservation and emission reduction are facilitated.
Description
Technical Field
The invention relates to the field of intelligent data management, in particular to an intelligent management system for enterprise machine room equipment.
Background
In many enterprises, a data center serving for the enterprise is used for storing servers for providing operation and storing information for enterprise production, office work and life, the servers can generate a large amount of heat in the operation process, cold air needs to be input into the data center to reduce the temperature around the servers, the heat emitted by the servers is taken away, meanwhile, the humidity in a machine room needs to be kept constant while the heat is taken away, the temperature and humidity control of the existing enterprise machine room depends on a cold channel with a single control parameter to carry out temperature and humidity control, the high fitting performance of the air conditioner operation parameter on the dynamic load change of the server load is lost, the energy-saving effect is poor, dynamic compression on the operation parameter of an air conditioner is not carried out according to the electricity price, and the problem that the temperature and humidity adjustment operation cost is high during the electricity price peak is caused.
Aiming at the defects, the invention provides an intelligent management system for equipment of an enterprise machine room, which can optimize dynamic temperature and humidity regulation response aiming at dynamic loads of a server by using historical operating parameters of equipment operation so as to realize energy conservation and emission reduction, and dynamically compress air conditioner operating parameters according to electricity prices so as to reduce the temperature and humidity regulation operating cost.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to solve the problem that the dynamic heat dissipation real-time dynamic temperature and humidity regulation and control that current enterprise computer lab air conditioner operational parameter can't deal with dynamic server load production leads to energy-conserving effect poor and can't compress air conditioner operational parameter according to the change of price of electricity, provide an enterprise computer lab equipment intelligent management system.
The invention solves the technical problems by the following technical scheme, and comprises a load information acquisition module and a historical operation data acquisition module, wherein the output of the load information acquisition module is connected with a parameter conversion module, the output end of the parameter conversion module is connected with an intelligent training module, the output end of the intelligent training module is connected with an operation cost compression module, the output end of the operation cost compression module is connected with an operation parameter control block, the output end of the operation parameter control block is connected with three constant temperature and humidity precise air conditioning units, the output ends of the three constant temperature and humidity precise air conditioners are respectively connected with a first air pipe, a second air pipe positioned below the first air pipe and a third air pipe positioned above the first air pipe, the first air pipe, the second air pipe and the third air pipe penetrate through an elevated floor of a machine room and are connected with a cooling channel air supply outlet between two adjacent rows of servers, a semiconductor refrigerating device is arranged on the inner side of the second air pipe, fans and electrode humidifiers are respectively arranged on two sides of the semiconductor refrigerating device, a historical operation data acquisition module respectively records historical temperature data of three constant-temperature and constant-humidity precise air conditioning units as f1 (t), f2 (t) and f3 (t), historical humidity data as g1 (t), g2 (t) and g3 (t), historical power data of the three semiconductor refrigerating devices as P1 (t), P2 (t) and P3 (t), and humidification quantities of the three electrode humidifiers as S1 (t), S2 (t) and S3 (t), recording the air outlet temperature of the air outlet of the cold channel as T (T), recording the air outlet humidity of the air outlet of the cold channel as D (T), wherein the air outlet temperature of the air outlet of the cold channel is jointly regulated and controlled by three constant-temperature constant-humidity precise air conditioning units and three semiconductor refrigerating devices, and the calculation formula of the air outlet temperature T (T) of the air outlet of the cold channel is as follows:
the air outlet humidity of the cold channel air supply outlet is jointly regulated and controlled by three constant-temperature and constant-humidity precise air conditioning units and three electrode humidifiers, and the calculation formula of the air outlet humidity D (t) of the cold channel air supply outlet is as follows:
as a further scheme of the present invention, the load information collection module collects the stable load and the fluctuating load of the server load in each partition, converts the server load into the required cold quantity and the required humidification quantity, records the number of the server partitions as n, and records the stable load of the server in each partition as n
Let the fluctuating load be recorded as
Let the margin amplification factor be
Record the required cold as
And recording the required humidification quantity as L (t), wherein the calculation formula of the required refrigeration quantity H (t) is as follows:
the calculation formula of the required humidification amount is as follows:
as a further scheme of the present invention, the intelligent training module forms a database of each parameter amount from the data transmitted by the historical operating data module, enters the calculation formula of the outlet air temperature of the air supply outlet of the cold passageway and the outlet air humidity of the cold passageway iteratively according to each group of databases, performs training optimization according to historical data by using an LOSS function, so that a, B, C, Y, α, β, γ, m, n, z, δ, ε, and ζ in the calculation formula are mutually verified at each time interval after iteration of multiple groups of historical data to obtain an optimized constant coefficient, substitutes the optimized constant coefficient into the calculation formula of the outlet air temperature of the air supply outlet of the cold passageway and the outlet air humidity of the cold passageway, and transmits the calculation formula of the outlet air temperature of the air supply outlet of the cold passageway and the outlet air humidity of the cold passageway after training optimization to the operating parameter control block.
As a further aspect of the present invention, in the calculation formula of the outlet air temperature of the air outlet of the cold air duct, a, B, and C are all constants less than 1, and satisfy a + B + C =1, and α, β, and γ are all constants greater than 1 and less than 2, and satisfy α + β + γ =5.
5. The intelligent management system for equipment of an enterprise computer room according to claim 1, characterized in that: in the air outlet humidity calculation formula of the air outlet of the cold channel, m, n and z are all constants less than 1 and satisfy m + n + z =1, and δ, ε and ζ are all constants greater than 1 and less than 2 and satisfy δ + ε + ζ =5.
As a further scheme of the present invention, the operation parameter control block trains and optimizes a calculation formula by using the historical data acquired by the historical operation data acquisition module through the intelligent training module, gives an optimal solution to the temperature control parameter and the humidity control parameter of the three constant temperature and humidity precise air conditioning units according to the required cold quantity and the required humidification quantity and the calculation formula optimized by training, gives a power parameter of the semiconductor refrigeration device and a humidification quantity regulation and control parameter of the electrode humidifier at the same time, and transmits the regulation and control parameters to the constant temperature and humidity precise air conditioning unit, the semiconductor refrigeration device and the electrode humidifier through the operation parameter control block.
As a further scheme of the present invention, the work flow of the intelligent management system for the enterprise machine room equipment is as follows:
the method comprises the following steps: the load information acquisition module is communicated with the server units in each partition through a cloud end, and acquires the server loads in a stable load and fluctuation load mode, wherein the stable load is the server load with the change rate of less than 5% generated by activities required by enterprise production, office work and life, and the fluctuation load is the server load with the change rate of more than 95% generated by the activities required by enterprise production, office work and life;
step two: the load information acquisition module calculates the required cooling capacity and the required humidification capacity through a calculation formula;
step three: the required humidification quantity and the required cooling quantity are transmitted to a parameter conversion module, and the required cooling quantity is converted into the air outlet temperature and the air outlet humidity of the air outlet of the cold channel which are finally required to be regulated and controlled;
step four: forming a historical operation database according to a historical operation data acquisition module, enabling the historical operation database to enter a calculation formula for the outlet air temperature and the outlet air humidity of an air outlet of a cold channel in an iterative manner, and training constant coefficients in the calculation formula by using a numerical value constraint range of a constant through an intelligent training module to optimize an optimal solution;
step five: the calculation formula obtained through training optimization is transmitted to the operation cost compression module, the compressed operation parameters are transmitted to the operation parameter control block after the operation cost is compressed according to the electricity price, and the operation parameter control block is utilized to convert the air outlet parameters meeting the cold quantity and the humidification quantity required under the dynamic load into the operation regulation and control parameters of the constant-temperature constant-humidity precise air conditioner, the semiconductor refrigerating device and the electrode heater so as to realize the fitting regulation and control of the load and the regulation and control parameters.
As a further scheme of the invention, an RS-WS-WIFI-Y4 temperature and humidity sensor is arranged on one side of the air supply outlet of the cold channel.
As a further aspect of the present invention, the compression coefficient of the operation cost compression module is a value that linearly changes with fluctuation of electricity price, the electricity price is denoted as O, the compression coefficient is denoted as R (O), and the calculation formula of the compression coefficient is:
。
compared with the prior art, the invention has the following advantages: this computer lab equipment intelligent management system of enterprise, can gather the load information of server through the setting of load information acquisition module, and then turn into the demand cold volume and the demand humidification volume that the load produced, can optimize through the setting of historical data operation data acquisition module and intelligent training module and solve out cold passageway air outlet parameter and regard to the accurate air conditioning unit of constant temperature and humidity, semiconductor refrigerating plant and electrode humidifier operational parameter's computational formula, and then realize the accurate air conditioning unit of constant temperature and humidity according to the dynamic change of load, the dynamic control of semiconductor refrigerating plant and electrode humidifier regulation and control parameter, press close to the regulation and control of real-time temperature of fitting server load change and humidity more, help energy saving and emission reduction, can realize the dynamic compression of temperature and humidity regulation according to the fluctuation of electrovalence through running cost compression module, and then help reducing the adjustment cost of temperature and humidity in electrovalence peak period.
Drawings
Fig. 1 is an overall structural view of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1, the present embodiment provides a technical solution: an intelligent management system for enterprise machine room equipment comprises a load information acquisition module and a historical operation data acquisition module, wherein the output of the load information acquisition module is connected with a parameter conversion module in a switching way, the output end of the parameter conversion module is connected with an intelligent training module, the output end of the intelligent training module is connected with an operation cost compression module, the output end of the operation cost compression module is connected with an operation parameter control block, the output end of the operation parameter control block is connected with three constant-temperature constant-humidity precise air conditioning units, the output ends of the three constant-temperature constant-humidity precise air conditioners are respectively connected with a first air pipe, a second air pipe positioned below the first air pipe and a third air pipe positioned above the first air pipe, the first air pipe, the second air pipe and the third air pipe penetrate through an elevated floor of a machine room and are connected with a cooling channel air supply outlet positioned between two adjacent rows of servers, a semiconductor cooling device is arranged on the inner side of the second air pipe, fans and electrode humidifiers are respectively arranged on two sides of the semiconductor cooling device, a historical operation data acquisition module respectively records historical temperature data of three constant-temperature and constant-humidity precise air conditioning units as f1 (t), f2 (t) and f3 (t), historical humidity data as g1 (t), g2 (t) and g3 (t), historical power data of the three semiconductor cooling devices as P1 (t), P2 (t) and P3 (t), and humidification quantities of the three electrode humidifiers as S1 (t), S2 (t) and S3 (t), recording the air outlet temperature of the air outlet of the cold channel as T (T), recording the air outlet humidity of the air outlet of the cold channel as D (T), wherein the air outlet temperature of the air outlet of the cold channel is jointly regulated and controlled by the three constant-temperature constant-humidity precise air conditioning units and the three semiconductor refrigerating devices, and the calculation formula of the air outlet temperature T (T) of the air outlet of the cold channel is as follows:
the air outlet humidity of the air outlet of the cold channel is jointly regulated and controlled by three constant-temperature and constant-humidity precise air conditioning units and three electrode humidifiers, and the calculation formula of the air outlet humidity D (t) of the air outlet of the cold channel is as follows:
the setting of the load information acquisition module can acquire the load information of the server, and further the load information is converted into the required cooling capacity and the required humidification capacity generated by the load, the setting of the historical data operation data acquisition module and the intelligent training module can optimize and solve the calculation formula of the air outlet parameters of the cooling channel about the constant-temperature and constant-humidity precise air conditioning unit, the semiconductor refrigeration device and the electrode humidifier, and further the dynamic regulation and control of the regulation and control parameters of the constant-temperature and constant-humidity precise air conditioning unit, the semiconductor refrigeration device and the electrode humidifier are realized according to the dynamic change of the load, the real-time regulation and control of the temperature and the humidity are closer to the load change of the fitting server, the energy conservation and emission reduction are facilitated, the dynamic compression of the temperature and the humidity regulation according to the fluctuation of the electricity price can be realized through the operation cost compression module, and further the regulation cost of the temperature and the humidity in the electricity price peak period is facilitated to be reduced.
The load information acquisition module acquires the stable load and the fluctuating load of the server load in each partition, converts the server load into the required cold quantity and the required humidification quantity, records the number of the server partitions as n, and records the stable load of the server in each partition as n
Let the fluctuating load be recorded as
Let the margin amplification factor be
The required cold quantity is recorded as
And recording the required humidification quantity as L (t), wherein the calculation formula of the required refrigeration quantity H (t) is as follows:
the calculation formula of the required humidification amount is as follows:
the server loads in each partition are classified statically and statically through the load information acquisition module, so that the simplified description of the server loads is convenient to realize, the operation amount of the operation parameter control block is convenient to reduce when dynamic temperature and humidity regulation and control are implemented, the overall response speed of the system is convenient to improve, the operation time is shortened, the calculated required cold quantity and required humidification quantity can be amplified to a certain extent by setting a margin amplification coefficient, the sudden peak load change is convenient to deal with, the phenomena of downtime and poor service performance caused by overheating of the server are effectively avoided, and meanwhile, a certain flexible adjustment space can be provided for the fluctuation compression operation parameters of the electricity price when the electricity price fluctuates.
The intelligent training module forms a database of each parameter quantity by using data transmitted by the historical operation data module, enters the cold channel air outlet temperature and cold channel air outlet humidity calculation formula according to each group of database iteration, performs training optimization according to historical data by using an LOSS function, enables A, B, C, Y, alpha, beta, gamma, m, n, z, delta, epsilon and zeta in the calculation formula to obtain an optimized constant coefficient through mutual evidence at each time interval after a plurality of groups of historical data iteration, substitutes the optimized constant coefficient into the cold channel air outlet temperature and the cold channel air outlet humidity calculation formula, and transmits the trained and optimized cold channel air outlet temperature and the cold channel air outlet humidity calculation formula to the operation parameter control block.
The data transmitted by historical operating data is combined with a multitask LOSS function to realize the optimal solution of constant coefficients of calculation formulas of the air outlet temperature and the air outlet humidity of the cold channel air supply outlet, and scientific fitting and optimal solutions are provided for the constant coefficients of the two calculation formulas, so that the description model of the air outlet temperature and the air outlet humidity of the cold channel air supply outlet is more representative and scientific.
In the air outlet temperature calculation formula of the air outlet of the cold channel air supply outlet, A, B and C are all constants less than 1 and satisfy A + B + C =1, and alpha, beta and gamma are all constants greater than 1 and less than 2 and satisfy alpha + beta + gamma =5. In the air outlet humidity calculation formula of the air outlet of the cold channel, m, n and z are all constants less than 1 and satisfy m + n + z =1, and δ, ε and ζ are all constants greater than 1 and less than 2 and satisfy δ + ε + ζ =5.
The method has the advantages that the A, B and C are set to be constants smaller than 1, the A + B + C =1, the m, n and z are constants smaller than 1, the m + n + z =1 is met, the parameters of the air supply opening of the cold channel can be optimally controlled by three constant-temperature constant-humidity precise air conditioning units according to a certain proportion, scientific proportioning control of the three constant-temperature constant-humidity precise air conditioning units according to arrangement of a server and change of load is facilitated, the alpha, the beta and the gamma are set to be constants larger than 1 and smaller than 2, the alpha + beta + gamma =5, the delta, the epsilon and the zeta are constants larger than 1 and smaller than 2, the delta + epsilon + zeta =5 is satisfied, the semiconductor refrigerating device and the electrode humidifier are used for carrying out optimal adjustment of auxiliary adjustment on the temperature and humidity of the constant-temperature constant-humidity air conditioning units according to change of the load of the server, and the heat loss and the loss of humidification generated by the constant-temperature constant-humidity precise air conditioning units in the air transmission process are compensated.
The operation parameter control block utilizes a calculation formula which is trained and optimized by the intelligent training module through historical data acquired by the historical operation data acquisition module, gives three optimal solutions of temperature control parameters and humidity control parameters of the constant-temperature and constant-humidity precise air conditioning unit according to the required cold quantity and the required humidification quantity and gives power parameters of a semiconductor refrigerating device and humidification quantity regulation and control parameters of an electrode humidifier at the same time, and utilizes the operation parameter control block to transmit the regulation and control parameters to the constant-temperature and constant-humidity precise air conditioning unit, the semiconductor refrigerating device and the electrode humidifier.
The setting of the operation parameter control block can convert dynamic load of the server into required cold quantity and required humidification quantity, and then further combine air outlet parameters converted by a calculation formula of air outlet temperature and air outlet humidity of a cold channel optimized by training according to requirements to form mutually matched operation parameters of the constant-temperature and constant-humidity precise air conditioning unit, the semiconductor refrigerating device and the electrode humidifier, and transmit the operation parameters to each device for real-time dynamic regulation and control.
The working process of the intelligent management system for the enterprise computer room equipment is as follows:
the method comprises the following steps: the load information acquisition module is communicated with the server units in each partition through a cloud end, and acquires the server loads in a stable load and fluctuation load mode, wherein the stable load is the server load with the change rate of less than 5% generated by activities required by enterprise production, office work and life, and the fluctuation load is the server load with the change rate of more than 95% generated by the activities required by enterprise production, office work and life;
step two: the load information acquisition module calculates the required cold quantity and the required humidification quantity through a calculation formula;
step three: the required humidification quantity and the required cooling quantity are transmitted to a parameter conversion module, and the required cooling quantity is converted into the air outlet temperature and the air outlet humidity of the air outlet of the cold channel which are finally required to be regulated and controlled;
step four: forming a historical operation database according to a historical operation data acquisition module, enabling the historical operation database to enter a cold channel air outlet temperature and air outlet humidity calculation formula in an iteration mode, and training constant coefficients in the calculation formula by using a numerical value constraint range of a constant through an intelligent training module to optimize an optimal solution;
step five: the calculation formula obtained through training optimization is transmitted to the operation cost compression module, the compressed operation parameters are transmitted to the operation parameter control block after the operation cost is compressed according to the electricity price, and the operation parameter control block is utilized to convert the air outlet parameters meeting the cold quantity and the humidification quantity required under the dynamic load into the operation regulation and control parameters of the constant-temperature constant-humidity precise air conditioner, the semiconductor refrigerating device and the electrode heater so as to realize the fitting regulation and control of the load and the regulation and control parameters.
And an RS-WS-WIFI-Y4 temperature and humidity sensor is arranged on one side of the air supply outlet of the cold channel.
The temperature and humidity of the air supply outlet of the cooling channel can be measured at multiple points through the arrangement of the RS-WS-WIFI-Y4 temperature and humidity sensor, and further the regulation and control effects of the constant-temperature constant-humidity precise air conditioning unit, the semiconductor refrigerating device and the electrode humidifier can be accurately reflected.
The compression coefficient of the operation cost compression module is a numerical value which linearly changes along with fluctuation of electricity price, the electricity price is marked as O, the compression coefficient is marked as R (O), and the calculation formula of the compression coefficient is as follows:
。
through setting up the running cost compression module, can enlarge the back at load information acquisition module with demand cold volume and demand humidification volume on the basis of actual demand and realize realizing the compression operating parameter of peak clipping when the peak value electricity price according to the fluctuation of electricity price, and then be convenient for reduce the power consumption of peak value electricity price period, help reducing the running cost of temperature and humidity control.
In summary, the invention can also classify the server loads in each partition dynamically and statically through the load information collection module, so as to facilitate the simplified description of the server loads, reduce the operation amount of the operation parameter control block when implementing dynamic temperature and humidity control, further improve the overall response speed of the system, shorten the operation time, amplify the calculated cold demand and required humidification demand to a certain extent by setting the margin amplification factor, so as to respond to sudden peak load changes, further effectively avoid downtime and poor usability caused by overheating of the server, and provide a certain flexible adjustment space for the fluctuation compression operation parameters of electricity prices when the electricity prices fluctuate.
The optimization solution of constant coefficients of calculation formulas of the air outlet temperature and the air outlet humidity of the air outlet of the cold channel is realized by combining data transmitted by historical operating data with a multitask LOSS function, and scientific fitting and optimization solutions are provided for the constant coefficients of the two calculation formulas, so that a description model of the air outlet temperature and the air outlet humidity of the air outlet of the cold channel is more representative and scientific. The method has the advantages that the A, B and C are set to be constants smaller than 1, the A + B + C =1, the m, n and z are constants smaller than 1, the m + n + z =1 is met, the parameters of the air supply opening of the cold channel can be optimally controlled by three constant-temperature constant-humidity precise air conditioning units according to a certain proportion, scientific proportioning control of the three constant-temperature constant-humidity precise air conditioning units according to arrangement of a server and change of load is facilitated, the alpha, the beta and the gamma are set to be constants larger than 1 and smaller than 2, the alpha + beta + gamma =5, the delta, the epsilon and the zeta are constants larger than 1 and smaller than 2, the delta + epsilon + zeta =5 is satisfied, the semiconductor refrigerating device and the electrode humidifier are used for carrying out optimal adjustment of auxiliary adjustment on the temperature and humidity of the constant-temperature constant-humidity air conditioning units according to change of the load of the server, and the heat loss and the loss of humidification generated by the constant-temperature constant-humidity precise air conditioning units in the air transmission process are compensated. The setting of the operation parameter control block can convert dynamic load of the server into required cold quantity and required humidification quantity, and then further combine air outlet parameters converted from an air outlet temperature and air outlet humidity calculation formula of a cold channel optimized by training according to needs to form the mutually matched operation parameters of the constant-temperature and constant-humidity precise air conditioning unit, the semiconductor refrigerating device and the electrode humidifier, and transmit the operation parameters to each device for real-time dynamic regulation and control. The temperature and the humidity of the air supply outlet of the cooling channel can be measured at multiple points through the arrangement of the RS-WS-WIFI-Y4 temperature and humidity sensor, and further the regulation and control effects of the constant-temperature constant-humidity precise air conditioning unit, the semiconductor refrigeration device and the electrode humidifier can be accurately reflected. Through setting up the running cost compression module, can enlarge the back at load information acquisition module with demand cold volume and demand humidification volume on the basis of actual demand and realize realizing the compression operating parameter of peak clipping when the peak value electricity price according to the fluctuation of electricity price, and then be convenient for reduce the power consumption of peak value electricity price period, help reducing the running cost of temperature and humidity control.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (9)
1. An intelligent management system for enterprise machine room equipment is characterized by comprising a load information acquisition module and a historical operation data acquisition module, wherein the output of the load information acquisition module is connected with a parameter conversion module in a switching way, the output end of the parameter conversion module is connected with an intelligent training module, the output end of the intelligent training module is connected with an operation cost compression module, the output end of the operation cost compression module is connected with an operation parameter control block, the output end of the operation parameter control block is connected with three constant-temperature constant-humidity precise air conditioning units, the output ends of the three constant-temperature constant-humidity precise air conditioners are respectively connected with a first air pipe, a second air pipe positioned below the first air pipe and a third air pipe positioned above the first air pipe, the first air pipe, the second air pipe and the third air pipe penetrate through an elevated floor of a machine room and are connected with a cooling channel air supply outlet positioned between two adjacent rows of servers, a semiconductor cooling device is arranged on the inner side of the second air pipe, fans and electrode humidifiers are respectively arranged on two sides of the semiconductor cooling device, a historical operation data acquisition module respectively records historical temperature data of three constant-temperature and constant-humidity precise air conditioning units as f1 (t), f2 (t) and f3 (t), historical humidity data as g1 (t), g2 (t) and g3 (t), historical power data of the three semiconductor cooling devices as P1 (t), P2 (t) and P3 (t), and humidification quantities of the three electrode humidifiers as S1 (t), S2 (t) and S3 (t), recording the air outlet temperature of the air outlet of the cold channel as T (T), recording the air outlet humidity of the air outlet of the cold channel as D (T), wherein the air outlet temperature of the air outlet of the cold channel is jointly regulated and controlled by three constant-temperature constant-humidity precise air conditioning units and three semiconductor refrigerating devices, and the calculation formula of the air outlet temperature T (T) of the air outlet of the cold channel is as follows:
the air outlet humidity of the air outlet of the cold channel is jointly regulated and controlled by three constant-temperature and constant-humidity precise air conditioning units and three electrode humidifiers, and the calculation formula of the air outlet humidity D (t) of the air outlet of the cold channel is as follows:
2. the intelligent management system for the enterprise machine room equipment according to claim 1, characterized in that: the load information acquisition module acquires the stable load and the fluctuating load of the server load in each subarea, converts the server load into required cold quantity and required humidification quantity, records the number of the server subareas as n, and records the stable load of the server in each subarea as n
Let the fluctuating load be recorded as
Let the margin amplification factor be
Record the required cold as
And recording the required humidification quantity as L (t), wherein the calculation formula of the required refrigeration quantity H (t) is as follows:
the calculation formula of the required humidification amount is as follows:
3. the intelligent management system for the enterprise machine room equipment according to claim 1, characterized in that: the intelligent training module forms a database of each parameter quantity by using data transmitted by the historical operation data module, enters the cold channel air outlet temperature and cold channel air outlet humidity calculation formula according to each group of database iteration, performs training optimization according to historical data by using an LOSS function, enables A, B, C, Y, alpha, beta, gamma, m, n, z, delta, epsilon and zeta in the calculation formula to obtain an optimized constant coefficient through mutual evidence at each time interval after a plurality of groups of historical data iteration, substitutes the optimized constant coefficient into the cold channel air outlet temperature and the cold channel air outlet humidity calculation formula, and transmits the trained and optimized cold channel air outlet temperature and the cold channel air outlet humidity calculation formula to the operation parameter control block.
4. The intelligent management system for equipment of an enterprise computer room according to claim 1, characterized in that: in the air outlet temperature calculation formula of the air outlet of the cold channel air supply outlet, A, B and C are all constants less than 1 and satisfy A + B + C =1, and alpha, beta and gamma are all constants greater than 1 and less than 2 and satisfy alpha + beta + gamma =5.
5. The intelligent management system for equipment of an enterprise computer room according to claim 1, characterized in that: in the calculation formula of the outlet air humidity of the air outlet of the cold channel, m, n and z are constants less than 1, m + n + z =1, and δ, ε and ζ are constants greater than 1 and less than 2, and δ + ε + ζ =5.
6. The intelligent management system for equipment of an enterprise computer room according to claim 2, characterized in that: the operation parameter control block utilizes a calculation formula which is trained and optimized by the intelligent training module through historical data acquired by the historical operation data acquisition module, gives three optimal solutions of temperature control parameters and humidity control parameters of the constant-temperature and constant-humidity precise air conditioning unit according to the required cold quantity and the required humidification quantity and gives power parameters of a semiconductor refrigerating device and humidification quantity regulation and control parameters of an electrode humidifier at the same time, and utilizes the operation parameter control block to transmit the regulation and control parameters to the constant-temperature and constant-humidity precise air conditioning unit, the semiconductor refrigerating device and the electrode humidifier.
7. The intelligent management system for equipment of an enterprise computer room according to claim 1, characterized in that: the working process of the intelligent management system for the enterprise machine room equipment is as follows:
the method comprises the following steps: the load information acquisition module is communicated with the server units in each partition through a cloud end, and acquires the server loads in a stable load and fluctuation load mode, wherein the stable load is the server load with the change rate of less than 5% generated by activities required by enterprise production, office work and life, and the fluctuation load is the server load with the change rate of more than 95% generated by the activities required by enterprise production, office work and life;
step two: the load information acquisition module calculates the required cold quantity and the required humidification quantity through a calculation formula;
step three: the required humidification quantity and the required cooling quantity are transmitted to a parameter conversion module, and the required cooling quantity is converted into the air outlet temperature and the air outlet humidity of the air outlet of the cold channel which are finally required to be regulated and controlled;
step four: forming a historical operation database according to a historical operation data acquisition module, enabling the historical operation database to enter a cold channel air outlet temperature and air outlet humidity calculation formula in an iteration mode, and training constant coefficients in the calculation formula by using a numerical value constraint range of a constant through an intelligent training module to optimize an optimal solution;
step five: the calculation formula obtained through training optimization is transmitted to the operation cost compression module, the compressed operation parameters are transmitted to the operation parameter control block after the operation cost is compressed according to the electricity price, and the operation parameter control block is utilized to convert the air outlet parameters meeting the cold quantity and the humidification quantity required under the dynamic load into the operation regulation and control parameters of the constant-temperature constant-humidity precise air conditioner, the semiconductor refrigerating device and the electrode heater so as to realize the fitting regulation and control of the load and the regulation and control parameters.
8. The intelligent management system for equipment of an enterprise computer room according to claim 1, characterized in that: and one side of the air supply outlet of the cold channel is provided with an RS-WS-WIFI-Y4 temperature and humidity sensor.
9. The intelligent management system for the enterprise machine room equipment according to claim 1, characterized in that: the compression coefficient of the operation cost compression module is a numerical value which linearly changes along with fluctuation of electricity price, the electricity price is marked as O, the compression coefficient is marked as R (O), and a calculation formula of the compression coefficient is as follows:
。
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