CN115513940A - Heating and ventilation power supply system of data center and power supply method thereof - Google Patents
Heating and ventilation power supply system of data center and power supply method thereof Download PDFInfo
- Publication number
- CN115513940A CN115513940A CN202211253426.9A CN202211253426A CN115513940A CN 115513940 A CN115513940 A CN 115513940A CN 202211253426 A CN202211253426 A CN 202211253426A CN 115513940 A CN115513940 A CN 115513940A
- Authority
- CN
- China
- Prior art keywords
- execution
- scheme
- power consumption
- power supply
- heating
- 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.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00004—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
-
- 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
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention provides a heating and ventilation power supply system of a data center and a power supply method thereof, wherein the heating and ventilation power supply system comprises: the system comprises a monitoring module, a matching module, an analysis module and a power supply module, wherein the monitoring module is used for acquiring the current temperature of a data center and analyzing the temperature difference between the current temperature and the preset temperature; therefore, a set of power supply system suitable for the data center heating and ventilation is established, flexible power supply can be carried out according to the real-time power load of the heating and ventilation, the purpose of power supply is achieved, and electric energy is saved.
Description
Technical Field
The invention relates to the technical field of power distribution, in particular to a heating and ventilation power supply system of a data center and a power supply method thereof.
Background
With the coming of the information age, the demands for network sharing, virtualized data processing, electronic commerce and the like are on an explosive increase trend, the demands of matched data centers are increased in a blowout manner, and a plurality of large data centers are continuously built in China. The large-scale data center has huge energy consumption, the heating and ventilation system serving the data center is also a large energy-consuming household, the heating and ventilation work mainly depends on electric energy to provide energy, the existing technical means are all heating and ventilation power supply by utilizing alternating current potential, and a complete power supply system is not provided.
Therefore, the invention provides a heating and ventilation power supply system of a data center and a power supply method thereof.
Disclosure of Invention
The invention provides a heating and ventilation power supply system of a data center and a power supply method thereof, which are used for establishing a set of power supply system suitable for heating and ventilation of the data center, and performing flexible power supply according to real-time power load of the heating and ventilation, thereby achieving the purpose of power supply and saving electric energy.
The invention provides a heating, ventilating and power supply system of a data center, which comprises:
the monitoring module is used for acquiring the current temperature of the data center and analyzing the temperature difference between the current temperature and the preset temperature;
the matching module is used for acquiring an execution scheme when the heating and ventilation system adjusts the data center to the preset temperature based on the temperature difference and the preset temperature;
the analysis module is used for analyzing the execution scheme to obtain power consumption information of the heating and ventilation system;
and the power supply module is used for establishing a power supply scheme based on the power consumption information and providing electric energy for heating and ventilation.
In one manner that may be implemented,
the monitoring module comprises:
the temperature unit is used for acquiring the current temperature of the data center;
the analysis unit is used for acquiring a preset temperature;
judging whether the preset temperature is consistent with the current temperature or not;
and if the current temperature is inconsistent with the preset temperature, acquiring the temperature difference between the current temperature and the preset temperature, and transmitting the temperature difference to the matching module for scheme matching.
In one manner that may be implemented,
the matching module comprises:
the first matching unit is used for matching different temperature differences with different preset temperatures to obtain a plurality of matching groups;
acquiring an adjusting scheme corresponding to each matching group in a preset large database;
acquiring updating information of the preset big database, and updating the adjusting scheme based on the updating information;
the second matching unit is used for acquiring a target matching group corresponding to the temperature difference and a preset temperature;
acquiring a target adjusting scheme corresponding to the target matching group;
and recording the target regulation scheme as an execution scheme, and transmitting the execution scheme to the analysis module for analysis.
In one manner that may be implemented,
the analysis module comprises:
the analysis unit is used for analyzing the execution scheme to obtain a plurality of execution steps contained in the execution scheme;
the simulation unit is used for simulating the execution scheme and recording the virtual power consumption corresponding to each execution step in the simulation process;
the analysis unit is used for obtaining sub-power consumption information corresponding to each execution step based on the virtual power consumption corresponding to each execution step;
and acquiring all the sub-power consumption information to obtain the power consumption information of the heating and ventilation.
In one manner that may be implemented,
the power supply module includes:
the power supply unit is used for supplying electric energy to the heating and ventilation device;
acquiring a power supply scheme of a regulating unit, and executing power supply work based on the power supply scheme;
the adjusting unit is used for analyzing the power consumption information to obtain the plurality of pieces of sub-power consumption information; acquiring power consumption and power supply time corresponding to each piece of sub-power consumption information;
and establishing a power supply scheme based on the power consumption and the power supply duration, and controlling the power supply unit to execute power supply work.
In one manner that may be implemented,
simulating the execution scheme, and recording the virtual power consumption corresponding to each execution step in the simulation process, wherein the process comprises the following steps:
analyzing the execution scheme to obtain an execution result of the execution scheme, and acquiring a corresponding simulation frame according to the execution result;
inputting the execution steps into the simulation framework to obtain a simulation execution scheme;
running the simulation execution scheme to obtain total virtual power consumption; acquiring the weight of each execution step in the execution scheme; calculating the virtual power consumption corresponding to each simulation execution step in the simulation execution scheme according to the weight;
and acquiring the virtual power consumption corresponding to each execution step according to the corresponding relation between the simulation execution step and the execution step.
In one manner that may be implemented,
a process of establishing a power supply scheme based on the power consumption and the power supply duration, comprising:
establishing a first information chain according to the linking relation between different pieces of sub-power consumption information, and adjusting the chain length of each first sub-area chain in the first information chain based on the power supply duration corresponding to each piece of power consumption information;
inputting the power consumption corresponding to each piece of power consumption information into the adjusted first information chain to obtain a second information chain;
analyzing the second information chain to obtain a plurality of second subarea chains, and marking the second subarea chains with the same chain length as the same chain class;
and carrying out power supply training on second sub-area chains in the same chain class to obtain electric energy distribution information corresponding to each second sub-area chain, obtaining the electric energy distribution information corresponding to each second sub-area chain on the second information chain, and establishing a power supply scheme.
The invention provides a heating, ventilating and power supplying method for a data center, which comprises the following steps:
step 1: acquiring the current temperature of the data center, and analyzing the temperature difference between the current temperature and the preset temperature;
step 2: acquiring an execution scheme when the heating and ventilation system adjusts the data center to a preset temperature based on the temperature difference and the preset temperature;
and step 3: analyzing the execution scheme to obtain power consumption information of heating ventilation;
and 4, step 4: and providing electric energy for heating and ventilation based on the power consumption information power supply scheme.
In one manner that may be implemented,
analyzing the execution scheme to obtain the power consumption information of the heating and ventilation system, wherein the process comprises the following steps:
step 31: analyzing the execution scheme to obtain a plurality of execution steps contained in the execution scheme;
step 32: simulating the execution scheme, and recording the virtual power consumption corresponding to each execution step in the simulation process;
step 33: obtaining sub-power consumption information corresponding to each execution step based on the virtual power consumption corresponding to each execution step;
and acquiring all the sub-power consumption information to obtain the power consumption information of the heating and ventilation.
In one manner that may be implemented,
simulating the execution scheme, and recording the virtual power consumption corresponding to each execution step in the simulation process, wherein the process comprises the following steps of:
analyzing the execution scheme to obtain an execution result of the execution scheme, and acquiring a corresponding simulation frame according to the execution result;
inputting the execution steps into the simulation framework to obtain a simulation execution scheme;
running the simulation execution scheme to obtain total virtual power consumption; acquiring the weight of each execution step in the execution scheme; calculating the virtual power consumption corresponding to each simulation execution step in the simulation execution scheme according to the weight;
and acquiring the virtual power consumption corresponding to each execution step according to the corresponding relation between the simulation execution step and the execution step.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic composition diagram of a heating, ventilating and power supplying system of a data center according to an embodiment of the present invention;
fig. 2 is a schematic view of a work flow of a heating, ventilating and power supplying method of a data center according to an embodiment of the present invention;
fig. 3 is a schematic working flow diagram of a process of analyzing an execution scheme in a heating, ventilating and power supplying method of a data center to obtain power consumption information of the heating, ventilating and power supplying in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the embodiment provides a heating, ventilating and power supplying system of a data center, as shown in fig. 1, including:
the monitoring module is used for acquiring the current temperature of the data center and analyzing the temperature difference between the current temperature and the preset temperature;
the matching module is used for acquiring an execution scheme when the heating and ventilation system adjusts the data center to the preset temperature based on the temperature difference and the preset temperature;
the analysis module is used for analyzing the execution scheme to obtain power consumption information of the heating and ventilation system;
and the power supply module is used for establishing a power supply scheme based on the power consumption information and providing electric energy for heating and ventilation.
In this example, the preset temperature represents a temperature specified by a manager, which may be 26 degrees celsius, and the manager may also correct the temperature according to actual requirements;
in this example, the temperature difference represents a difference between the current temperature and the preset temperature, and is a vector;
in this example, the execution scenario represents a scenario in which, for the purpose of adjusting the current temperature of the data center to a preset temperature, the corresponding temperature is adjusted every unit time period as a step;
in this example, the power consumption information indicates the power consumed by the heating and ventilating in adjusting the temperature, and the power consumed for each period of time;
in this example, the power supply scheme represents a scheme for supplying electric power to the heating and ventilating according to the power consumption information of the heating and ventilating.
The working principle and the beneficial effects of the technical scheme are as follows: in order to keep the temperature of the data center at a fixed value, the current temperature of the data center is firstly collected and compared with the preset temperature, an execution scheme is formulated according to the temperature difference between the current temperature and the preset temperature, a power supply scheme is established according to the power consumption information of the scheme, electric energy is provided for the heating ventilation of the data center, the normal operation of the heating ventilation in the temperature adjustment working process is guaranteed, the damage of the heating ventilation caused by circuit fluctuation is avoided, the electric energy is provided according to the actual power consumption of the heating ventilation in the power supply process, the purposes of saving electricity and avoiding waste are achieved.
Example 2
On the basis of embodiment 1, the heating, ventilation and power supply system for the data center comprises:
the temperature unit is used for acquiring the current temperature of the data center;
the analysis unit is used for acquiring a preset temperature;
judging whether the preset temperature is consistent with the current temperature or not;
and if the current temperature is inconsistent with the preset temperature, acquiring the temperature difference between the current temperature and the preset temperature, and transmitting the temperature difference to the matching module for scheme matching.
The working principle and the beneficial effects of the technical scheme are as follows: in order to match the execution scheme as soon as possible, the current temperature of the data center and the preset temperature are firstly obtained, the temperature difference between the two temperatures is obtained when the two temperatures are inconsistent, then the temperature difference is transmitted to the matching module for scheme matching, the obtained temperature difference is not only a basis for scheme matching, but also can reflect whether the current temperature is consistent with the preset temperature on the side, if the two temperatures are consistent, the temperature does not need to be adjusted, and the purpose of saving is achieved.
Example 3
On the basis of embodiment 1, the heating, ventilation and power supply system for a data center includes:
the first matching unit is used for matching different temperature differences with different preset temperatures to obtain a plurality of matching groups;
acquiring an adjusting scheme corresponding to each matching group in a preset large database;
acquiring the updating information of the preset big database, and updating the adjusting scheme based on the updating information;
the second matching unit is used for acquiring a target matching group corresponding to the temperature difference and a preset temperature;
acquiring a target adjusting scheme corresponding to the target matching group;
and recording the target regulation scheme as an execution scheme, and transmitting the execution scheme to the analysis module for analysis.
In this example, the matching group is composed of a temperature difference and a preset temperature, and represents the matching relationship between different temperature differences and the preset temperature;
for example, the temperature difference of the matching group A is 1-26 ℃ of the preset temperature, the temperature difference of the matching group B is 2-26 ℃ of the preset temperature, and the temperature difference of the matching group C is 2-25 ℃ of the preset temperature;
in this example, the update information indicates data that appears in the big database for the first time, and also indicates data added after the big database is updated;
in this example, the process of obtaining the update information of the preset big database includes:
step a: connecting the preset big database with a public internet;
step b: acquiring newly added information in the public Internet by taking 24 hours as a period;
step c: performing attribute screening on the newly added information to obtain a plurality of pieces of target newly added information belonging to the temperature attribute;
step d: inputting the new target adding information into a preset logic sentence training network for language training to obtain a plurality of training results; the preset logic language training network comprises three logic sentences, wherein the three logic sentences are respectively as follows: corresponding sentences of the temperature difference and the preset temperature, matching group generation sentences, matching groups and corresponding sentences of the regulating scheme;
step e: respectively obtaining a language loss value corresponding to each training result, and extracting the training results with the language loss values within a preset range to obtain updated information;
in this example, updating the adjustment scheme based on the update information includes:
step A: analyzing the updated information to obtain a first matching group-first adjusting scheme;
and B, step B: searching each first matching group in the preset big database, acquiring a corresponding second matching group-second regulation scheme in the preset big database, and replacing the second regulation scheme with the first regulation scheme;
if the search fails, inputting the first matching group-first adjusting scheme into the preset big database for storage;
the working principle and the beneficial effects of the technical scheme are as follows: in order to meet the track of the actual life and ensure the advancement of the system, firstly, an adjusting scheme is set for each matching group, then a series of updating information is obtained in the public internet, a preset large database is further updated, then a corresponding execution scheme is searched in the preset large database according to the temperature difference and the preset temperature at the current stage, and the basis is made for subsequent temperature adjustment.
Example 4
On the basis of embodiment 1, the heating, ventilation and power supply system for a data center includes:
the analysis unit is used for analyzing the execution scheme to obtain a plurality of execution steps contained in the execution scheme;
the simulation unit is used for simulating the execution scheme and recording the virtual power consumption corresponding to each execution step in the simulation process;
the analysis unit is used for obtaining sub-power consumption information corresponding to each execution step based on the virtual power consumption corresponding to each execution step;
and acquiring all the sub-power consumption information to obtain the power consumption information of the heating and ventilation.
In this example, the execution scheme consists of several execution steps;
in this example, the virtual power consumption represents the simulated execution step, and the resulting power consumption when executing this step;
in this example, the sub power consumption information is composed of the sub power consumption amount corresponding to each unit time of the execution step;
in this example, the process of obtaining the sub power consumption information corresponding to each execution step based on the virtual power consumption corresponding to each execution step includes:
the method comprises the following steps: acquiring step execution duration corresponding to each execution step in a simulation process to obtain scheme execution duration, establishing a time axis consistent with the scheme execution duration, and respectively marking execution time periods corresponding to each execution step on the time axis;
step two: inputting the virtual power consumption to a corresponding execution time period, and performing mutual adaptive training to obtain an adaptive training result;
step three: and converting the adaptive training result into a preset format to obtain the sub-power consumption information corresponding to each execution step.
The working principle and the beneficial effects of the technical scheme are as follows: in order to achieve the purpose of accurate power supply, an execution scheme is simulated before power supply is performed, sub power consumption information of each execution step is obtained, power consumption information of the execution scheme is further obtained, and a basis is made for a subsequent specified power supply scheme.
Example 5
On the basis of embodiment 1, the heating, ventilation and power supply system for a data center includes:
the power supply unit is used for supplying electric energy to the heating and ventilation device;
acquiring a power supply scheme of a regulating unit, and executing power supply work based on the power supply scheme;
the adjusting unit is used for analyzing the power consumption information to obtain the plurality of pieces of sub-power consumption information; acquiring power consumption and power supply time corresponding to each piece of sub-power consumption information;
and establishing a power supply scheme based on the power consumption and the power supply duration, and controlling the power supply unit to execute power supply work.
The working principle and the beneficial effects of the technical scheme are as follows: in order to ensure the normal operation of the heating ventilation, a power supply scheme is established according to the power consumption information of the heating ventilation when power is supplied, and then power is supplied, so that the power supply work is finished, electric energy can be saved, unnecessary waste is avoided, and the purpose of environmental protection is realized.
Example 6
On the basis of embodiment 4, the process of simulating the execution scheme and recording the virtual power consumption corresponding to each execution step in the simulation process of the heating, ventilating and power supplying system of the data center includes:
analyzing the execution scheme to obtain an execution result of the execution scheme, and acquiring a corresponding simulation frame according to the execution result;
inputting the execution steps into the simulation framework to obtain a simulation execution scheme;
running the simulation execution scheme to obtain total virtual power consumption; acquiring the weight of each execution step in the execution scheme; calculating the virtual power consumption corresponding to each simulation execution step in the simulation execution scheme according to the weight;
and acquiring the virtual power consumption corresponding to each execution step according to the corresponding relation between the simulation execution steps and the execution steps.
In this example, the execution result indicates the final purpose of the execution plan;
in this example, the simulation framework represents a virtual platform used to simulate an execution scenario;
in this example, the simulation frames correspond to execution results, one execution result corresponds to one simulation frame, but one simulation frame may correspond to a plurality of execution results;
in this example, all of the virtual power consumptions add up to the total power consumption;
in this example, the simulation execution steps correspond to the execution steps one to one;
in this example, inputting the execution steps into the simulation framework to obtain a process of simulating an execution scheme, includes:
step A: analyzing the simulation framework to obtain a plurality of simulation layers, and analyzing the execution scheme to obtain a plurality of execution steps;
wherein the number of the simulation layers is consistent with the number of the execution steps;
step B: inputting each execution step into different simulation layers for simulation by using a combination algorithm to obtain a plurality of simulation results, and extracting a combination scheme with the simulation results consistent with the execution results;
step C: when the number of the combination schemes is not 1, simulating each combination scheme respectively to obtain the simulated power consumption corresponding to each combination scheme;
step D: and acquiring a combination scheme with the minimum simulation power consumption as a simulation execution scheme.
Example verification this example: the existing implementation scheme a includes three implementation steps a1, a2, and a3, and the weights of the three implementation steps are respectively: 50%, 30%, 20%, analyzing the execution scheme A to obtain the execution result A k Then according to A k Obtaining a simulation frame B, inputting the execution scheme A into the simulation frame B to obtain a simulation execution scheme B, wherein the simulation execution scheme B comprises three simulation execution steps B1, B2 and B3, and the simulation execution scheme B is operated to obtain total virtual power consumption H Z Then, the virtual of each simulation execution step is obtained according to the weightPseudo power consumption is 50% Z 、30％H Z 、20％H Z Then simulating the corresponding relationship between the execution steps and the execution steps to obtain the virtual power consumption of steps a1, a2, a3 as 50% Z 、30％H Z 、20％H Z 。
The working principle and the beneficial effects of the technical scheme are as follows: because different execution schemes can be selected under different actual conditions, the corresponding power consumption is different, in order to analyze the power consumption corresponding to different execution schemes, the virtual power consumption of the execution schemes is obtained in a simulation mode, and then a power supply scheme is formulated in subsequent operations based on the virtual power consumption, so that the purpose of timely power supply is achieved.
Example 7
On the basis of embodiment 5, the process of establishing a power supply scheme based on the power consumption and the power supply duration of the data center heating and ventilating power supply system includes:
establishing a first information chain according to a connection relation between different pieces of electronic power consumption information, and adjusting the chain length of each first sub-area chain in the first information chain based on the power supply time corresponding to each piece of power consumption information;
inputting the power consumption corresponding to each piece of power consumption information into the adjusted first information chain to obtain a second information chain;
analyzing the second information chain to obtain a plurality of second subarea chains, and marking the second subarea chains with the same chain length as the same chain class;
and carrying out power supply training on second sub-area chains in the same chain class to obtain electric energy distribution information corresponding to each second sub-area chain, obtaining the electric energy distribution information corresponding to each second sub-area chain on the second information chain, and establishing a power supply scheme.
In this example, the concatenation relationship represents a top concatenation relationship between different pieces of electronic power consumption information;
for example, the header of the sub power consumption information 2 is connected to the tail of the sub power consumption information 1, and the tail is connected to the header of the sub power consumption information 3;
in this example, the first information chain represents an information chain generated by connecting different pieces of electronic power consumption information;
in this example, the second information chain represents an information chain generated by connecting different power consumption amounts;
in this example, the second subregions included in the same strand are of the same strand length;
in this example, the power supply training represents a process of providing analog electric energy for the second information chains, then analyzing the electric resistance of each second sub-area chain, and continuously adjusting the analog electric energy to enable the electric resistance of all the second sub-area chains to reach a minimum value, wherein the lengths of the second sub-area chains in the same class of chains are consistent after training;
in this example, the power allocation information represents power of each second sub-area chain;
in this example, the process of adjusting the chain length of each first sub-area chain in the first information chain based on the power supply duration corresponding to each power consumption information includes:
analyzing each piece of power consumption information, predicting power supply duration corresponding to each piece of power consumption information, then analyzing weight corresponding to each power supply duration, and adjusting the chain length of each first sub-area chain based on the weight;
wherein the larger the weight, the longer the chain length of the first subregion chain.
Example verification this example: the existing 4 pieces of sub power consumption information are respectively sub power consumption information 1, sub power consumption information 2, sub power consumption information 3 and sub power consumption information 4, a first information chain Y1 is obtained at the moment, then chain length adjustment is carried out, the power consumption 1, the power consumption 2, the power consumption 3 and the power consumption 4 are input to the first information chain Y1, a second information chain Y2 is obtained, at the moment, Y2 comprises 4 second subarea chains, the lengths are respectively 1,2 and 1, then the second subarea chain 1 and the second subarea chain 4 can be recorded as an A chain type, the second subarea chain 2 and the second subarea chain 3 are recorded as a B chain type, then power supply training is carried out to obtain electric energy distribution information X of different second subarea chains, and a power supply scheme is established.
The working principle and the beneficial effects of the technical scheme are as follows: in order to achieve the purpose of accurate power supply, an information chain is established according to different sub-power consumption information before power supply, then the information chain is completed by using the power consumption corresponding to each power consumption information, then the information chain is further processed to obtain power distribution information, and finally a power supply scheme can be established according to the power distribution information.
Example 8
The embodiment provides a heating, ventilating and power supplying method for a data center, as shown in fig. 2, including:
step 1: acquiring the current temperature of the data center, and analyzing the temperature difference between the current temperature and the preset temperature;
and 2, step: acquiring an execution scheme when the heating and ventilation system adjusts the data center to the preset temperature based on the temperature difference and the preset temperature;
and step 3: analyzing the execution scheme to obtain power consumption information of heating ventilation;
and 4, step 4: and providing electric energy for heating and ventilation based on the power consumption information power supply scheme.
In this example, the preset temperature represents a temperature specified by a manager, which may be 26 degrees celsius, and the manager may also correct the temperature according to actual requirements;
in this example, the temperature difference represents a difference between the current temperature and the preset temperature, and is a vector;
in this example, the execution scenario represents a scenario in which, for the purpose of adjusting the current temperature of the data center to a preset temperature, the corresponding temperature is adjusted every unit time period as a step;
in this example, the power consumption information indicates the power consumed by the heating and ventilating in adjusting the temperature, and the power consumed for each period of time;
in this example, the power supply scheme represents a scheme for supplying electric power to the heating and ventilating according to the power consumption information of the heating and ventilating.
The working principle and the beneficial effects of the technical scheme are as follows: in order to keep the temperature of the data center at a fixed value, the current temperature of the data center is firstly collected and compared with the preset temperature, an execution scheme is formulated according to the temperature difference between the current temperature and the preset temperature, a power supply scheme is established according to the power consumption information of the scheme, electric energy is provided for the heating ventilation of the data center, the normal operation of the heating ventilation in the temperature adjustment working process is guaranteed, the damage of the heating ventilation caused by circuit fluctuation is avoided, the electric energy is provided according to the actual power consumption of the heating ventilation in the power supply process, the purposes of saving electricity and avoiding waste are achieved.
Example 9
On the basis of embodiment 8, in the method for supplying power to the heating and ventilation system of the data center, as shown in fig. 3, a process of analyzing an execution scheme to obtain power consumption information of the heating and ventilation system includes:
step 31: analyzing the execution scheme to obtain a plurality of execution steps contained in the execution scheme;
step 32: simulating the execution scheme, and recording the virtual power consumption corresponding to each execution step in the simulation process;
step 33: obtaining sub-power consumption information corresponding to each execution step based on the virtual power consumption corresponding to each execution step;
and acquiring all the sub-power consumption information to obtain the power consumption information of the heating and ventilation.
In this example, the execution scheme consists of several execution steps;
in this example, the virtual power consumption represents the simulated execution step, and the resulting power consumption when executing this step;
in this example, the sub power consumption information is composed of the sub power consumption amount corresponding to each unit time of the execution step;
in this example, the process of obtaining the sub power consumption information corresponding to each execution step based on the virtual power consumption corresponding to each execution step includes:
step 331: acquiring step execution time corresponding to each execution step in a simulation process to obtain scheme execution time, establishing a time axis consistent with the scheme execution time, and marking execution time periods corresponding to each execution step on the time axis respectively;
step 332: inputting the virtual power consumption into a corresponding execution time period, and performing mutual adaptive training to obtain an adaptive training result;
step 333: and converting the adaptive training result into a preset format to obtain the sub-power consumption information corresponding to each execution step.
The working principle and the beneficial effects of the technical scheme are as follows: in order to achieve the purpose of accurate power supply, an execution scheme is simulated before power supply is performed, sub power consumption information of each execution step is obtained, power consumption information of the execution scheme is further obtained, and a basis is made for a subsequent specified power supply scheme.
Example 10
On the basis of embodiment 9, the method for heating, ventilating and supplying power in a data center simulates the execution scheme and records the virtual power consumption corresponding to each execution step in the simulation process, and includes:
analyzing the execution scheme to obtain an execution result of the execution scheme, and acquiring a corresponding simulation frame according to the execution result;
inputting the execution steps into the simulation framework to obtain a simulation execution scheme;
running the simulation execution scheme to obtain total virtual power consumption; acquiring the weight of each execution step in the execution scheme; calculating the virtual power consumption corresponding to each simulation execution step in the simulation execution scheme according to the weight;
and acquiring the virtual power consumption corresponding to each execution step according to the corresponding relation between the simulation execution steps and the execution steps.
In this example, the execution result indicates the final goal of the execution scheme;
in this example, the simulation framework represents a virtual platform used to simulate the execution scenario;
in this example, the simulation frames correspond to execution results, one execution result corresponds to one simulation frame, but one simulation frame may correspond to a plurality of execution results;
in this example, all of the virtual power consumptions add up to the total power consumption;
in this example, the simulation execution steps correspond to the execution steps one to one;
in this example, inputting the execution steps into the simulation framework to obtain a process of simulating an execution scheme, includes:
step A: analyzing the simulation framework to obtain a plurality of simulation layers, and analyzing the execution scheme to obtain a plurality of execution steps;
wherein the number of the simulation layers is consistent with the number of the execution steps;
step B: inputting each execution step into different simulation layers for simulation by using a combination algorithm to obtain a plurality of simulation results, and extracting a combination scheme with the simulation results consistent with the execution results;
step C: when the number of the combination schemes is not 1, simulating each combination scheme respectively to obtain the simulated power consumption corresponding to each combination scheme;
step D: and acquiring a combination scheme with minimum simulation power consumption and recording the combination scheme as a simulation execution scheme.
Example verification this example: the existing implementation scheme a includes three implementation steps a1, a2, and a3, and the weights of the three implementation steps are respectively: 50%, 30% and 20%, and analyzing the execution scheme A to obtain an execution result A k Then according to A k Obtaining a simulation frame B, inputting the execution scheme A into the simulation frame B to obtain a simulation execution scheme B, wherein the simulation execution scheme B comprises three simulation execution steps B1, B2 and B3, and the simulation execution scheme B is operated to obtain total virtual power consumption H Z Then, the virtual power consumption of each simulation execution step is obtained as 50% according to the weight Z 、30％H Z 、20％H Z Then, simulating the corresponding relationship between the execution steps and the simulation result to obtain the virtual power consumption of 50% for each of the steps a1, a2, and a3 Z 、30％H Z 、20％H Z 。
The working principle and the beneficial effects of the technical scheme are as follows: because different execution schemes can be selected under different actual conditions, the corresponding power consumption is different, in order to analyze the power consumption corresponding to different execution schemes, the virtual power consumption of the execution schemes is obtained in a simulation mode, and then a power supply scheme is formulated in subsequent operation based on the virtual power consumption, so that the purpose of timely power supply is achieved.
Example 11
On the basis of embodiment 8, the method for heating, ventilating and supplying power in a data center further includes:
acquiring the outdoor temperature of the data center to establish a 24H temperature change curve;
obtaining the outdoor average temperature of the data center based on the 24H temperature change curve
Calculating a temperature influence parameter of the external temperature on the data center according to a formula (1);
wherein K represents a temperature influence parameter of the external temperature on the data center, d represents a heat transfer coefficient of the data center,
represents the outdoor average temperature of the data center, alpha represents the heat transfer coefficient of the data center, F i Represents the outdoor temperature at the present moment, F i-1 (F) represents the outdoor temperature at the previous time i -F i-1 ) Represents the fluctuation value of the outdoor temperature at the current time, when i is equal to 1, F i-1 Is equal to
F g Represents the preset temperature, F 1 Showing the superimposed influence temperature under the continuous action of the external temperature at different moments;
obtaining a calculation result of a formula (1), and calculating the failure rate of the execution scheme according to a formula (2);
wherein L represents the failure rate of the execution scheme, beta represents the failure parameter of the scheme, and F d Represents said current temperature, F g Is representative of the pre-set temperature and,
indicating the probability of failure in adjusting the current temperature of the data center to a preset temperature under the influence of the external temperature,
representing the probability of the current temperature changing under the influence of the external temperature;
and (3) obtaining a calculation result of the formula (2), and if the failure rate of the execution scheme is greater than the preset failure rate, generating a standby execution scheme.
The working principle and the beneficial effects of the technical scheme are as follows: because the execution basis of power supply is carried out during the execution of the scheme, in order to ensure that the power supply scheme has feasibility, the execution scheme is analyzed after the execution scheme is prepared, the influence of the external temperature on the data center is considered, whether the execution scheme established at this time is feasible or not can be further judged, a standby scheme is prepared in time when the execution scheme fails, and the follow-up power supply is facilitated.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A data center heating and ventilation power supply system is characterized by comprising:
the monitoring module is used for acquiring the current temperature of the data center and analyzing the temperature difference between the current temperature and the preset temperature;
the matching module is used for acquiring an execution scheme when the heating and ventilation system adjusts the data center to the preset temperature based on the temperature difference and the preset temperature;
the analysis module is used for analyzing the execution scheme to obtain power consumption information of the heating and ventilation system;
and the power supply module is used for establishing a power supply scheme based on the power consumption information and providing electric energy for heating and ventilation.
2. The heating, ventilating and power supplying system of the data center as claimed in claim 1, wherein the monitoring module comprises:
the temperature unit is used for acquiring the current temperature of the data center;
the analysis unit is used for acquiring a preset temperature;
judging whether the preset temperature is consistent with the current temperature or not;
and if the current temperature is inconsistent with the preset temperature, acquiring the temperature difference between the current temperature and the preset temperature, and transmitting the temperature difference to the matching module for scheme matching.
3. The heating, ventilating and power supplying system of the data center as claimed in claim 1, wherein said matching module comprises: bag (bag)
The first matching unit is used for matching different temperature differences with different preset temperatures to obtain a plurality of matching groups;
acquiring an adjusting scheme corresponding to each matching group in a preset large database;
acquiring updating information of the preset big database, and updating the adjusting scheme based on the updating information;
the second matching unit is used for acquiring a target matching group corresponding to the temperature difference and a preset temperature;
acquiring a target adjusting scheme corresponding to the target matching group;
and recording the target regulation scheme as an execution scheme, and transmitting the execution scheme to the analysis module for analysis.
4. The heating, ventilation and power supply system of data center as claimed in claim 1, wherein said parsing module comprises:
the simulation unit is used for simulating the execution scheme and recording the virtual power consumption corresponding to each execution step in the simulation process; the analysis unit is used for analyzing the execution scheme to obtain a plurality of execution steps contained in the execution scheme;
the analysis unit is used for obtaining sub-power consumption information corresponding to each execution step based on the virtual power consumption corresponding to each execution step;
and acquiring all the sub-power consumption information to obtain the power consumption information of the heating and ventilation.
5. The data center heating and ventilation power supply system of claim 1, wherein the power supply module comprises:
the power supply unit is used for supplying electric energy to the heating and ventilation device;
acquiring a power supply scheme of a regulating unit, and executing power supply work based on the power supply scheme;
the adjusting unit is used for analyzing the power consumption information to obtain the plurality of pieces of sub-power consumption information; acquiring power consumption and power supply time corresponding to each piece of sub-power consumption information;
and establishing a power supply scheme based on the power consumption and the power supply time length, and controlling the power supply unit to execute power supply operation.
6. The heating, ventilating and power supplying system of the data center as claimed in claim 4, wherein the process of simulating the execution scheme and recording the virtual power consumption corresponding to each execution step in the simulation process comprises:
analyzing the execution scheme to obtain an execution result of the execution scheme, and acquiring a corresponding simulation frame according to the execution result;
inputting the execution steps into the simulation framework to obtain a simulation execution scheme;
running the simulation execution scheme to obtain total virtual power consumption; acquiring the weight of each execution step in the execution scheme; calculating the virtual power consumption corresponding to each simulation execution step in the simulation execution scheme according to the weight;
and acquiring the virtual power consumption corresponding to each execution step according to the corresponding relation between the simulation execution steps and the execution steps.
7. The system according to claim 5, wherein the process of establishing a power supply scheme based on the power consumption and the power supply duration comprises:
establishing a first information chain according to the linking relation between different pieces of sub-power consumption information, and adjusting the chain length of each first sub-area chain in the first information chain based on the power supply duration corresponding to each piece of power consumption information;
inputting the power consumption corresponding to each piece of power consumption information into the adjusted first information chain to obtain a second information chain;
analyzing the second information chain to obtain a plurality of second subarea chains, and marking the second subarea chains with the same chain length as the same chain class;
and carrying out power supply training on second sub-area chains in the same chain class to obtain electric energy distribution information corresponding to each second sub-area chain, obtaining the electric energy distribution information corresponding to each second sub-area chain on the second information chain, and establishing a power supply scheme.
8. A heating, ventilation and power supply method for a data center is characterized by comprising the following steps:
step 1: acquiring the current temperature of the data center, and analyzing the temperature difference between the current temperature and the preset temperature;
step 2: acquiring an execution scheme when the heating and ventilation system adjusts the data center to the preset temperature based on the temperature difference and the preset temperature;
and step 3: analyzing the execution scheme to obtain power consumption information of heating ventilation;
and 4, step 4: and providing electric energy for heating and ventilation based on the power consumption information power supply scheme.
9. The method for supplying power to the heating and ventilation system of the data center according to claim 8, wherein the step of analyzing the execution scheme to obtain the power consumption information of the heating and ventilation system comprises:
step 31: analyzing the execution scheme to obtain a plurality of execution steps contained in the execution scheme;
step 32: simulating the execution scheme, and recording the virtual power consumption corresponding to each execution step in the simulation process;
step 33: obtaining sub-power consumption information corresponding to each execution step based on the virtual power consumption corresponding to each execution step;
and acquiring all the sub-power consumption information to obtain the power consumption information of the heating and ventilation.
10. The heating, ventilating and power supplying method for the data center as claimed in claim 9, wherein the process of simulating the execution scheme and recording the virtual power consumption corresponding to each execution step in the simulation process comprises:
analyzing the execution scheme to obtain an execution result of the execution scheme, and acquiring a corresponding simulation frame according to the execution result;
inputting the execution steps into the simulation framework to obtain a simulation execution scheme;
running the simulation execution scheme to obtain total virtual power consumption; acquiring the weight of each execution step in the execution scheme; calculating the virtual power consumption corresponding to each simulation execution step in the simulation execution scheme according to the weight;
and acquiring the virtual power consumption corresponding to each execution step according to the corresponding relation between the simulation execution steps and the execution steps.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211253426.9A CN115513940B (en) | 2022-10-13 | 2022-10-13 | Heating and ventilation power supply system of data center and power supply method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211253426.9A CN115513940B (en) | 2022-10-13 | 2022-10-13 | Heating and ventilation power supply system of data center and power supply method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115513940A true CN115513940A (en) | 2022-12-23 |
| CN115513940B CN115513940B (en) | 2023-04-07 |
Family
ID=84510852
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211253426.9A Active CN115513940B (en) | 2022-10-13 | 2022-10-13 | Heating and ventilation power supply system of data center and power supply method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115513940B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004032983A (en) * | 2002-02-06 | 2004-01-29 | Hitachi Ltd | Power supply system and its operating method |
| US20090228893A1 (en) * | 2008-03-04 | 2009-09-10 | International Business Machines Corporation | Dynamic Heat and Power Optimization of Resource Pools |
| KR20130005197A (en) * | 2011-07-05 | 2013-01-15 | 송시우 | Environment adaptive air conditioning system and method |
| CN106196250A (en) * | 2016-07-26 | 2016-12-07 | 青岛科技大学 | A kind of Home Heating intelligent temperature control system and method |
| CN109980638A (en) * | 2019-04-03 | 2019-07-05 | 燕山大学 | A kind of temperature control load comfort level and frequency adjust cooperative optimization method and system |
| CN110362934A (en) * | 2019-07-18 | 2019-10-22 | 中惠地热（荣成）有限公司 | A kind of building unit room temperature control emulation mode and system |
| US20190360711A1 (en) * | 2018-05-22 | 2019-11-28 | Seokyoung Systems | Method and device for controlling power supply to heating, ventilating, and air-conditioning (hvac) system for building based on target temperature |
| CN111738876A (en) * | 2020-06-23 | 2020-10-02 | 缙云县曦田节能科技有限公司 | Electric power electricity-saving management system based on Internet of things |
| CN112524751A (en) * | 2020-12-01 | 2021-03-19 | 西安建筑科技大学 | Dynamic air conditioning system energy consumption prediction model construction and prediction method and device |
| CN113626297A (en) * | 2021-06-30 | 2021-11-09 | 苏州浪潮智能科技有限公司 | Server energy efficiency evaluation method and related device |
| CN114243717A (en) * | 2021-12-06 | 2022-03-25 | 上海电力大学 | Air conditioner load double-layer optimized scheduling method based on temperature regulation start-stop hybrid control mode |
-
2022
- 2022-10-13 CN CN202211253426.9A patent/CN115513940B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004032983A (en) * | 2002-02-06 | 2004-01-29 | Hitachi Ltd | Power supply system and its operating method |
| US20090228893A1 (en) * | 2008-03-04 | 2009-09-10 | International Business Machines Corporation | Dynamic Heat and Power Optimization of Resource Pools |
| KR20130005197A (en) * | 2011-07-05 | 2013-01-15 | 송시우 | Environment adaptive air conditioning system and method |
| CN106196250A (en) * | 2016-07-26 | 2016-12-07 | 青岛科技大学 | A kind of Home Heating intelligent temperature control system and method |
| US20190360711A1 (en) * | 2018-05-22 | 2019-11-28 | Seokyoung Systems | Method and device for controlling power supply to heating, ventilating, and air-conditioning (hvac) system for building based on target temperature |
| CN109980638A (en) * | 2019-04-03 | 2019-07-05 | 燕山大学 | A kind of temperature control load comfort level and frequency adjust cooperative optimization method and system |
| CN110362934A (en) * | 2019-07-18 | 2019-10-22 | 中惠地热（荣成）有限公司 | A kind of building unit room temperature control emulation mode and system |
| CN111738876A (en) * | 2020-06-23 | 2020-10-02 | 缙云县曦田节能科技有限公司 | Electric power electricity-saving management system based on Internet of things |
| CN112524751A (en) * | 2020-12-01 | 2021-03-19 | 西安建筑科技大学 | Dynamic air conditioning system energy consumption prediction model construction and prediction method and device |
| CN113626297A (en) * | 2021-06-30 | 2021-11-09 | 苏州浪潮智能科技有限公司 | Server energy efficiency evaluation method and related device |
| CN114243717A (en) * | 2021-12-06 | 2022-03-25 | 上海电力大学 | Air conditioner load double-layer optimized scheduling method based on temperature regulation start-stop hybrid control mode |
Non-Patent Citations (1)
| Title |
|---|
| 关银俊;邵宗义;宋孝春;张迪;: "供暖系统分时分区运行节能分析" * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115513940B (en) | 2023-04-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zheng et al. | A novel equivalent model of active distribution networks based on LSTM | |
| Wang et al. | Modeling and optimization of multi-objective partial disassembly line balancing problem considering hazard and profit | |
| CN110929918B (en) | 10kV feeder fault prediction method based on CNN and LightGBM | |
| CN113835344B (en) | Control optimization method of equipment, display platform, cloud server and storage medium | |
| CN108876163B (en) | Transient state power angle stability rapid evaluation method integrating causal analysis and machine learning | |
| CN106022521A (en) | Hadoop framework-based short-term load prediction method for distributed BP neural network | |
| CN107644297B (en) | Energy-saving calculation and verification method for motor system | |
| CN110852498A (en) | Method for predicting data center energy consumption efficiency PUE based on GRU neural network | |
| CN105471647A (en) | Power communication network fault positioning method | |
| CN113627032B (en) | Intelligent decision-making method for equipment design/maintenance scheme based on digital twinning | |
| CN115587489A (en) | Method and device for determining hydrogen production model, nonvolatile storage medium and processor | |
| CN115983438A (en) | Method and device for determining operation strategy of data center terminal air conditioning system | |
| CN114429248A (en) | Transformer apparent power prediction method | |
| CN115513940B (en) | Heating and ventilation power supply system of data center and power supply method thereof | |
| CN112052985B (en) | Middle-short-term low-voltage prediction method based on lightgbm | |
| CN105809286A (en) | Representative data reconstruction-based incremental SVR (support vector regression) load prediction method | |
| CN113627533A (en) | Power equipment maintenance decision generation method based on reinforcement learning | |
| Ma et al. | Digital twin model for chiller fault diagnosis based on SSAE and transfer learning | |
| CN115828769A (en) | Method for predicting working condition of cooling tower and reducing consumption based on intelligent calculation | |
| CN112214602B (en) | Humor-based text classification method and device, electronic equipment and storage medium | |
| Gao et al. | A prediction approach on energy consumption for public buildings using mind evolutionary algorithm and bp neural network | |
| Tian et al. | A new incremental learning modeling method based on multiple models for temperature prediction of molten steel in LF | |
| CN115796327A (en) | Wind power interval prediction method based on VMD (vertical vector decomposition) and IWOA-F-GRU (empirical mode decomposition) -based models | |
| CN109800866A (en) | A kind of reliability growth forecast method based on GA-Elman neural network | |
| CN111103799B (en) | Energy efficiency optimization modeling method based on teacher-student network online exploration learning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |