CN114390371B - Electric quantity scheduling method and device and electronic equipment - Google Patents
Electric quantity scheduling method and device and electronic equipment Download PDFInfo
- Publication number
- CN114390371B CN114390371B CN202011116413.8A CN202011116413A CN114390371B CN 114390371 B CN114390371 B CN 114390371B CN 202011116413 A CN202011116413 A CN 202011116413A CN 114390371 B CN114390371 B CN 114390371B
- Authority
- CN
- China
- Prior art keywords
- sink node
- power supply
- electric quantity
- scheduling
- target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 77
- 230000006855 networking Effects 0.000 claims abstract description 37
- 238000003860 storage Methods 0.000 claims description 22
- 238000009826 distribution Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 16
- 238000004891 communication Methods 0.000 claims description 15
- 230000002776 aggregation Effects 0.000 claims description 14
- 238000004220 aggregation Methods 0.000 claims description 14
- 238000012545 processing Methods 0.000 description 29
- 238000010586 diagram Methods 0.000 description 24
- 230000008569 process Effects 0.000 description 12
- 238000010276 construction Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000010295 mobile communication Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000011664 signaling Effects 0.000 description 2
- KLDZYURQCUYZBL-UHFFFAOYSA-N 2-[3-[(2-hydroxyphenyl)methylideneamino]propyliminomethyl]phenol Chemical compound OC1=CC=CC=C1C=NCCCN=CC1=CC=CC=C1O KLDZYURQCUYZBL-UHFFFAOYSA-N 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 201000001098 delayed sleep phase syndrome Diseases 0.000 description 1
- 208000033921 delayed sleep phase type circadian rhythm sleep disease Diseases 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q1/00—Details of selecting apparatus or arrangements
- H04Q1/18—Electrical details
- H04Q1/28—Current-supply circuits or arrangements for selection equipment at exchanges
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q1/00—Details of selecting apparatus or arrangements
- H04Q1/02—Constructional details
- H04Q1/03—Power distribution arrangements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q1/00—Details of selecting apparatus or arrangements
- H04Q1/02—Constructional details
- H04Q1/03—Power distribution arrangements
- H04Q1/032—Power distribution arrangements power failure protection
-
- 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
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Power Engineering (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The embodiment of the invention provides an electric quantity scheduling method, an electric quantity scheduling device and electronic equipment, wherein the method comprises the following steps: acquiring the power supply quantity required by a plurality of AAU devices corresponding to a target sink node in a power supply networking within a preset time period, determining the total power supply quantity required by the target sink node within the preset time period according to the power supply quantity required by the plurality of AAU devices, judging whether the total power supply quantity required by the target sink node within the preset time period meets a first preset condition, determining an electric quantity scheduling strategy for performing electric quantity scheduling on the target sink node under the condition that the total power supply quantity required by the target sink node within the preset time period meets the first preset condition, and then performing electric quantity scheduling on the target sink node according to the electric quantity scheduling strategy. The embodiment of the invention can solve the technical problem that the 5G base station has high power consumption and cannot guarantee the standby power supply of the AAU-level equipment.
Description
Technical Field
The present invention relates to the field of mobile communications technologies, and in particular, to a method and an apparatus for power scheduling, and an electronic device.
Background
The 5G Base station is a core device of the communication network, and mainly consists of a BBU (Base band Unit) and an AAU (Active Antenna Unit ). With the great improvement of the performance index of the 5G mobile communication technology, the power consumption of the base station equipment is also increased rapidly. Compared with the 8T/8R antenna of the 4G base station, the AAU of the 5G base station adopts the 64T/64R antenna array, the number of channels is greatly increased, and the overall electric power consumption of the AAU is greatly increased. The power consumption of a single 5G base station system is 4-5 times of that of a 4G base station system.
However, because the AAU is an active antenna unit, the AAU device in the 5G base station needs to supply power to send out a signal, and once the power supply capacity of the base station is insufficient, the backup power supply guarantee for the AAU-level device cannot be ensured, so that the situation that the AAU device in the base station cannot be supplied with power easily occurs, and the base station cannot normally send out a signal, thereby affecting the use experience of a user.
Disclosure of Invention
The embodiment of the invention aims to provide an electric quantity scheduling method, an electric quantity scheduling device and electronic equipment, and aims to solve the technical problem that 5G base stations are high in power consumption and cannot guarantee standby power supply for AAU-level equipment.
In order to solve the technical problems, the embodiment of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a power scheduling method, including:
acquiring power supply quantity required by a plurality of AAU devices corresponding to a target sink node in a power supply networking within a preset time period;
determining the total required power supply amount of the target sink node in a preset time period according to the required power supply amounts of a plurality of AAU devices;
judging whether the total power supply required by the target sink node in a preset time period meets a first preset condition or not;
Determining an electric quantity scheduling strategy for performing electric quantity scheduling on the target sink node under the condition that the total required power supply quantity of the target sink node in a preset time period meets the first preset condition;
and carrying out electric quantity scheduling on the target sink node according to the electric quantity scheduling policy.
Optionally, the determining whether the total required power supply amount of the target sink node in the preset time period meets a first preset condition includes: acquiring the actual power supply quantity of the target sink node at the current moment;
and judging whether the total required power supply amount of the target sink node in a preset time period is smaller than the actual power supply amount of the target sink node at the current moment according to the actual power supply amount of the target sink node at the current moment and the total required power supply amount of the target sink node.
Optionally, the determining an electric quantity scheduling policy for performing electric quantity scheduling for the target sink node when the total required power supply amount of the target sink node in the preset time period meets a first preset condition includes:
under the condition that the total required power supply amount of the target sink node in a preset time period meets a first preset condition, determining the electric quantity to be scheduled of the target sink node in the preset time period according to the total required power supply amount of the target sink node in the preset time period and the actual power supply amount at the current moment;
And determining an electric quantity scheduling strategy for performing electric quantity scheduling on the target sink node according to the electric quantity to be scheduled.
Optionally, the power scheduling policy for performing power scheduling for the target sink node according to the power to be scheduled includes:
determining a to-be-scheduled sink node for carrying out electric quantity scheduling on the target sink node according to the to-be-scheduled electric quantity and the distribution area of each sink node in the power supply networking;
judging whether the electric quantity to be scheduled is scheduled from the aggregation node to be scheduled or not to meet a second preset condition;
under the condition that the second preset condition is met, determining to execute an electric quantity scheduling strategy for scheduling the electric quantity to be scheduled from the sink node to be scheduled to the target sink node for electric quantity scheduling;
and under the condition that the second preset condition is not met, determining to prohibit execution of an electric quantity scheduling strategy for scheduling the electric quantity to be scheduled from the sink node to be scheduled to the target sink node.
Optionally, the determining whether the electric quantity to be scheduled from the sink node to be scheduled meets a second preset condition includes:
determining the power consumption when the power to be scheduled is scheduled for the target sink node from the sink node to be scheduled according to the areas of the sink node to be scheduled and the target sink node;
And judging whether the electric quantity loss is smaller than a preset threshold value or not.
Optionally, before the obtaining the power supply amounts required by the plurality of AAU devices corresponding to the target sink node in the power supply network within the preset time period, the method further includes:
acquiring flow data, traffic data and RRC connection number corresponding to the AAU device in a historical time period;
determining the required power consumption of the AAU device in a preset time period according to the traffic data, the telephone traffic data and the RRC connection number;
and determining the required power supply quantity of a plurality of AAU devices corresponding to each sink node in the power supply networking in the preset time period according to the required power consumption of the AAU devices in the preset time period.
Optionally, the target sink node includes a BBU pool, where the BBU pool includes a plurality of BBU devices, and the BBU devices hang down a plurality of AAU devices;
the method further comprises the steps of:
and constructing a power supply networking by taking power supply lines of a plurality of BBU devices corresponding to a plurality of aggregation nodes contained in a target area as an aggregation trunk and taking power supply lines of a plurality of AAU devices hung under each BBU device as aggregation branches.
In a second aspect, an embodiment of the present invention provides an electric quantity scheduling apparatus, including:
The first acquisition module is used for acquiring the power supply quantity required by a plurality of AAU devices corresponding to the target sink node in the power supply networking within a preset time period;
the first determining module is used for determining the total required power supply amount of the target sink node in a preset time period according to the power supply amounts required by a plurality of AAU devices;
the judging module is used for judging whether the total power supply required by the target sink node in a preset time period meets a first preset condition or not;
the second determining module is used for determining an electric quantity scheduling strategy for performing electric quantity scheduling on the target sink node under the condition that the total required power supply quantity of the target sink node in a preset time period meets the first preset condition;
and the electric quantity scheduling module is used for carrying out electric quantity scheduling on the target sink node according to the electric quantity scheduling strategy.
In a third aspect, an embodiment of the present invention provides an electronic device, including: comprises a processor, a communication interface, a memory and a communication bus; the processor, the communication interface and the memory complete communication with each other through a bus; the memory is used for storing a computer program; the processor is configured to execute a program stored in the memory, to implement the power scheduling method step according to the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the power scheduling method steps according to the first aspect.
According to the electric quantity scheduling method, the electric quantity scheduling device and the electronic equipment, through obtaining the required power supply quantity of the plurality of AAU devices corresponding to the target sink node in the power supply networking within the preset time period, the total required power supply quantity of the target sink node within the preset time period is determined according to the required power supply quantity of the plurality of AAU devices, whether the total required power supply quantity of the target sink node within the preset time period meets the first preset condition is judged, and an electric quantity scheduling strategy for performing electric quantity scheduling for the target sink node is determined under the condition that the total required power supply quantity of the target sink node within the preset time period meets the first preset condition, and then the electric quantity scheduling is performed for the target sink node according to the electric quantity scheduling strategy. The embodiment of the invention can solve the technical problem that the 5G base station has high power consumption and cannot guarantee the standby power supply of the AAU-level equipment.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a power scheduling method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a second flow chart of a power scheduling method according to an embodiment of the present invention;
fig. 3 is a third flow chart of a power scheduling method according to an embodiment of the present invention;
fig. 4 is a fourth flowchart of a power scheduling method according to an embodiment of the present invention;
fig. 5 is a fifth flowchart of a power scheduling method according to an embodiment of the present invention;
fig. 6 is a diagram of a power supply networking structure according to an embodiment of the present invention;
fig. 7 is a schematic diagram of module components of an electric quantity scheduling device according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method, a device and electronic equipment for electric quantity scheduling.
In order to make the technical solution of the present invention better understood by those skilled in the art, the technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, shall fall within the scope of the invention.
As shown in fig. 1, an embodiment of the present invention provides a power scheduling method, where an execution body of the method may be a server or a network device, where the server may be an independent server, or may be a distributed server, or may be a server cluster formed by a plurality of servers, and the server or the network device may be a server or a network device capable of determining a power scheduling policy for a target sink node. The method specifically comprises the following steps:
in step S102, the required power supply amounts of a plurality of AAU devices corresponding to the target sink node in the power supply network in the preset time period are obtained.
Wherein, the preset time period can be 8:00 a.m. to 12 a.m.: 00, alternatively, 12 pm: 00 to 18 pm: 00, alternatively, also night 18:00 to 24:00 am, etc. Alternatively, the preset time period may be a preset time interval within the preset time period, for example: may be 8:00 a.m. to 12 a.m.: 00 every 15 minutes or 30 minutes, or alternatively, every 15 minutes or 30 minutes within a time period from 0:00 to 24:00.
The power supply networking may be formed by a plurality of sink nodes and a power transmission line network where a plurality of AAU devices hung under each sink node are located. The sink node may be a room in which BBU devices are centrally located in the base station, i.e. a BBU pool room. The target sink node may be a sink node carrying target identification information, where the target identification may be identification information for distinguishing each sink node, for example, a geographic name of an area where the sink node is located, and the like. The BBU pool machine room is internally provided with a set of independent power supply equipment, and the power supply equipment can comprise equipment such as a switch power cabinet, an alternating current power distribution cabinet, a storage battery and the like. Wherein, a plurality of BBU devices can be placed in the BBU pool machine room, and at least one AAU device is hung under each BBU device. Specifically, taking a city as an example, there are mainly 4 machine rooms with centralized BBU devices in the city, namely, a BBU pool machine room, where the four BBU pool machine rooms respectively correspond to a power supply area, that is, each BBU pool machine room supplies power to a BBU device in the BBU pool machine room and a plurality of AAU devices hung under the BBU device, and a network formed by the four BBU pool machine rooms and power transmission lines where the plurality of AAU devices hung under each BBU pool machine room are located can be determined as a power supply network.
It should be noted that, the electric quantity between the aggregation nodes in the power supply network may be called mutually, for example, the above 4 BBU pool rooms are an a room, a B room, a C room and a D room, and when it is detected that an electric quantity of a certain room (such as an a room) in the above 4 BBU pool rooms is insufficient, it is insufficient to supply power to an AAU device hung under a certain BBU device in the BBU pool room, when a value corresponding to an electric quantity loss generated in an electric quantity scheduling process is far greater than an electric quantity benefit of scheduling in the electric quantity scheduling process is met, or when an electric quantity loss generated in the electric quantity scheduling process is less than a predetermined threshold, at least one BBU pool room may be selected from the power supply network, and an appropriate amount of electric quantity is called from the electric quantities of the selected at least one BBU pool room, so as to supply the electric quantity insufficient.
In implementation, in the process of constructing a 5G network and a subsequent higher-level network of the 5G network based on the current network base station at present, the problems of commercial capacity, direct current power supply capacity, standby time, output power distribution and the like are mainly faced, and the problems are mainly solved by a scheme for expanding capacity or replacing the current power supply equipment at present, but the implementation period of the scheme is long, so that the quick construction of the 5G/6G network is hindered, and meanwhile, the construction operation cost is increased, and the problems are mainly expressed in the following aspects: for sites with insufficient commercial power capacity, the commercial power capacity-increasing application and the construction time are long (generally 3-6 months), and some dense urban sites cannot develop commercial power capacity-increasing engineering construction due to the limited total capacity of a power grid and difficult line laying; for a site with insufficient capacity of a direct current power supply, the capacity expansion of the system cannot be carried out due to insufficient capacity expansion slots of the rectifier modules or the production stoppage of the rectifier modules of the same type, the whole direct current power supply system is required to be replaced, the normal operation of the existing network communication equipment is affected, the asset waste of the existing power supply equipment is caused, and the construction cost is increased; for stations with insufficient standby time, the capacity expansion or replacement of the storage battery cannot be performed mainly due to insufficient machine room space or bearing, the power supply reliability is affected, and the operation and maintenance guarantee cost is increased. For a power supply station of long-distance (more than 100 meters) outdoor large-power-consumption equipment (such as AAU equipment), indoor-48V direct current power supply is adopted, the loss of a power supply line is large, the communication equipment cannot work normally due to low terminal voltage, 1 set of boosting equipment is required to be added independently, the output power supply voltage is adjusted according to the power supply distance, matching management with the existing power supply cannot be achieved, the power supply reliability is affected to a certain extent, and the construction operation cost is increased. Based on the above-mentioned problem, at present, implementing to each power supply computer lab (such as BBU pool computer lab) to carry out independent backup power supply guarantee to the AAU equipment of every position is unable to be realized, in addition can also receive controlling part physical position, get electric condition, backup power supply cost's problem all hardly to solve for the AAU equipment of each power supply computer lab carries out backup power supply's in-process. Therefore, the embodiment of the invention provides a technical scheme capable of solving the problems, and the specific details can be seen in the following.
The power supply networking may be, for example, an electric power transmission line network formed by a plurality of sink nodes and a plurality of AAU devices hanging under the sink nodes, where the power supply area networking diagram of each sink node included in the target area is obtained, specifically, the power supply area networking diagram may include a power supply line network diagram of a BBU device corresponding to each sink node, and a power supply line network diagram of each AAU device corresponding to each BBU device, and according to the obtained power supply line network diagrams of each BBU device corresponding to each sink node in the target area, and the power supply line network diagrams of each AAU device corresponding to each AAU device in the target area, so that the overall scheduling can be performed between the sink nodes in the target area, or the overall scheduling can be performed between the sink nodes in the target area, and the power supply in each sink node can be performed by performing the respective scheduling on the power supply line network diagrams of each sink node, so that the current power supply line network diagram of each AAU device corresponding to each sink node in the target area is not only needs to be replaced by the current power supply line network 5, and the current power supply network system can be further saved, and the current power supply network 5 is not further saved.
It should be noted that, the construction process of the power supply network corresponding to the target area may be various, and the power supply network in the target area may be constructed according to the obtained power supply line network diagram of the BBU device corresponding to each sink node in the target area and the obtained power supply line network diagram of each AAU device corresponding to each BBU device, by using a line corresponding to the power transmission between the sink nodes in the target area as a power supply convergence trunk line, and using a power supply line of each AAU device corresponding to each BBU device as a power supply convergence trunk line; or, the power supply line network diagrams of the plurality of BBU devices corresponding to the sink nodes and the power supply line network diagrams of the AAU devices corresponding to the BBU devices are used for respectively constructing the regional power supply networking of the power supply regions corresponding to the sink nodes, and then the power supply networking in the target region is constructed according to the regional power supply networking of the constructed power supply regions and the distribution region in the target region where the sink nodes are located. Alternatively, the power supply network in the target area may be further configured in other manners, which is not specifically limited in the embodiment of the present disclosure.
In implementation, after a power supply networking corresponding to a target area is built for a plurality of sink nodes included in the target area, a server may obtain, through a predetermined interface, power supply amounts required by a plurality of AAU devices corresponding to the target sink nodes in the power supply networking in a preset period of time.
Specifically, the server may search for historical power supply amount information of a plurality of AAU devices corresponding to the target sink node in a historical preset time period according to the target identification information corresponding to the target sink node, and predict, according to the historical power supply amount information, power supply amounts required by the plurality of AAU devices corresponding to the target sink node in the power supply networking in the preset time period, so as to obtain the power supply amounts required by the plurality of AAU devices corresponding to the target sink node in the power supply networking in the preset time period. Or, the server may further obtain signaling data of a plurality of BBU devices hung under the target sink node in a preset time period in the power supply network according to the target identification information corresponding to the target sink node, and estimate the required power supply amounts of a plurality of AAU devices corresponding to the target sink node in the preset time period by analyzing the signaling data obtained from each BBU device, so as to obtain the required power supply amounts of a plurality of AAU devices corresponding to the target sink node in the power supply network in the preset time period.
In step S104, according to the power supply amounts required by the plurality of AAU devices, the total power supply amount required by the target sink node in the preset time period is determined.
In implementation, after obtaining the power supply amounts required by a plurality of AAU devices corresponding to a target sink node in a power supply network in a preset time period through the processing of S102, the server may determine the power supply amounts required by BBU devices mounting the plurality of AAU devices according to the power supply amounts required by the plurality of AAU devices, and further may determine the total power supply amount required by the target sink node in the preset time period according to the determined power supply amounts required by the plurality of BBU devices included in the target sink node.
In step S106, it is determined whether the total required power supply amount of the target sink node in the preset time period meets the first preset condition.
In implementation, after determining the total required power supply amount of the target sink node in the preset time period through the processing of S104, the server may find, according to the target identification information of the target sink node, the historical power consumption information of the target sink node corresponding to the target identification information in the historical preset time period, and determine whether the total required power supply amount of the target sink node in the preset time period is greater than the historical power consumption of the target sink node in the historical preset time period.
In step S108, when the total required power supply amount of the target sink node in the preset time period meets the first preset condition, a power scheduling policy for performing power scheduling for the target sink node is determined.
In implementation, the server determines, through the processing of S106, that the total required power supply amount of the target sink node in the preset time period meets the first preset condition, to perform the power scheduling policy for the target sink node. The power scheduling policy may be a scheduling policy for determining, according to an area where the target sink node is located, at least one sink node in a power supply network for performing power scheduling on the target sink node, or may also be a scheduling policy for determining, according to an area where the target sink node is located, at least one sink node in a power supply network for performing power scheduling on the target sink node, and a power scheduling order for scheduling, from the at least one sink node, preset power for scheduling on the target sink node, or may also be a scheduling policy for scheduling, according to an area where the target sink node is located, at least one sink node in a power supply network for performing power scheduling on the target sink node, preset power for scheduling on the at least one sink node for scheduling on the power for scheduling on the target sink node.
Specifically, the server determines, through the processing in S106, that the total required power supply amount of the target sink node in the preset time period is greater than the historical power consumption amount of the target sink node in the historical preset time period, and may determine a power scheduling policy for performing power scheduling for the target sink node.
In step S110, power scheduling is performed for the target sink node according to the power scheduling policy.
In implementation, after determining the power scheduling policy for performing power scheduling on the target sink node through the processing of S108, the server may perform power scheduling on the target sink node according to the determined power scheduling policy.
As can be seen from the technical solutions provided by the embodiments of the present invention, the embodiments of the present invention obtain the power supply amounts required by a plurality of AAU devices corresponding to a target sink node in a power supply network in a preset time period, determine the total power supply amount required by the target sink node in the preset time period according to the power supply amounts required by the plurality of AAU devices, determine whether the total power supply amount required by the target sink node in the preset time period meets a first preset condition, and determine an electric quantity scheduling policy for performing electric quantity scheduling for the target sink node when the total power supply amount required by the target sink node in the preset time period meets the first preset condition, and then perform electric quantity scheduling for the target sink node according to the electric quantity scheduling policy. The embodiment of the invention can solve the technical problem that the 5G base station has high power consumption and cannot guarantee the backup power supply of the AAU-level equipment.
Further, the specific processing procedure of the step S108 may be varied, and the following provides an alternative processing procedure, and the following specific processing procedures of the step S to the step S may be referred to.
Step one, obtaining the actual power supply quantity of the target sink node at the current moment.
In implementation, the server may obtain the actual power supply amount of the target sink node at the current moment according to the target identification information of the target sink node.
Specifically, since the sink node in the embodiment of the present disclosure may be a machine room in which BBU devices in a base station are centrally placed, i.e. a BBU pool machine room. The server can obtain the actual power supply amount of the target BBU pool machine room corresponding to the current target identification information according to the current actual power supply amount of the power supply equipment of the BBU pool machine room (such as the current actual power supply amount of equipment of a switch power cabinet, an alternating current power distribution cabinet, a storage battery and the like).
And step two, judging whether the total required power supply amount of the target sink node in a preset time period is smaller than the actual power supply amount of the target sink node at the current moment according to the actual power supply amount of the target sink node at the current moment and the total required power supply amount of the target sink node.
In implementation, after the server obtains the actual power supply amount of the target sink node at the current moment through the processing of the step one, whether the total required power supply amount of the target sink node in the preset time period is smaller than the actual power supply amount of the target sink node at the current moment can be judged according to the actual power supply amount of the target sink node at the current moment and the total required power supply amount of the target sink node.
Further, as shown in fig. 2, the specific processing procedure of the above step S108 may be varied, and an alternative processing procedure is provided below, and specific reference may be made to the specific processing procedures of the following steps S1082 to S1084.
In step S1082, when the total required power supply amount of the target sink node in the preset time period meets the first preset condition, determining the power to be scheduled of the target sink node in the preset time period according to the total required power supply amount of the target sink node in the preset time period and the actual power supply amount at the current moment.
In implementation, the server determines, through the processing of S106, that the total required power supply amount of the target sink node in the preset time period is greater than the historical power consumption of the target sink node in the historical preset time period, or determines, through the processing of S106, that the total required power supply amount of the target sink node in the preset time period is less than the actual power supply amount of the target sink node at the current moment, by calculating a difference value between the total required power supply amount of the target sink node in the preset time period and the actual power supply amount of the target sink node at the current moment, a power quantity to be scheduled of the target sink node in the preset time period is determined. In step S1084, an electric quantity scheduling policy for performing electric quantity scheduling for the target sink node is determined according to the electric quantity to be scheduled.
Specifically, as shown in fig. 3, the specific processing procedure of the above-described step S1084 can be referred to the specific processing procedures of the following steps S10842 to S10848.
In step S10842, according to the power to be scheduled and the distribution area of each sink node in the power supply network, determining the sink node to be scheduled for performing power scheduling for the target sink node.
The sink node to be scheduled may be a sink node in the power supply network, where the distance between the sink node to be scheduled and the area where the target sink node is located is relatively short, or may be a sink node with relatively sufficient power supply capacity in the power supply network (i.e., the sink node may be a sink node that can not only meet the power consumption of its own device, but also provide power for other sink nodes).
In implementation, after determining the power to be scheduled of the target sink node in the preset time period through the processing of S1082, the server may determine, according to the power to be scheduled and the distribution area of each sink node in the power supply network, a sink node to be scheduled for performing power scheduling for the target sink node.
In step S10844, it is determined whether the power to be scheduled is scheduled from the sink node to be scheduled to satisfy the second preset condition.
Specifically, as shown in fig. 4, the specific processing procedure of the above-described step S10844 can be referred to as the specific processing procedure of the following steps S108442 to S108444.
In step S108442, according to the areas where the sink node to be scheduled and the target sink node are located, the power consumption when the power to be scheduled is scheduled from the sink node to be scheduled to the target sink node is determined.
In step S108444, it is determined whether the amount of power loss is less than a preset threshold.
In implementation, for example, after determining, by the server through the processing of S10842, that the to-be-scheduled sink node performs power scheduling for the target sink node, determining, according to the areas where the to-be-scheduled sink node and the target sink node are located, that the power consumption when the to-be-scheduled sink node schedules the to-be-scheduled power for the target sink node is 10kw, if the power consumption is determined to be far greater than the preset threshold (10 w), if the power consumption is determined to be greater than the preset threshold, then determining that the second preset condition is not satisfied. If the server determines that the power consumption when the power to be scheduled is scheduled from the sink node to be scheduled to the target sink node is 8w and is smaller than the preset threshold (10 w) through the processing procedure, the power consumption is judged to be smaller than the preset threshold, and the second preset condition is determined to be met. In step S10846, under the condition that the second preset condition is satisfied, it is determined to execute a power scheduling policy for scheduling power from the sink node to be scheduled to the target sink node for power scheduling. In step S10848, if the second preset condition is not satisfied, it is determined that execution of the power scheduling policy for scheduling power from the sink node to be scheduled to the target sink node for power scheduling is prohibited.
Further, before the step S102, as shown in fig. 5, the method may further include the following processing steps S002 to S006.
In step S002, the traffic data, and the RRC connection number corresponding to the AAU device in the history period are acquired.
In step S004, the required power consumption of the AAU device in the preset time period is determined according to the traffic data, and the RRC connection number.
In step S006, according to the required power consumption of the AAU devices in the preset time period, the required power consumption of the plurality of AAU devices corresponding to each sink node in the power supply network in the preset time period is determined.
In implementation, the required power consumption of the AAU devices corresponding to each sink node in the preset time period can be determined according to a pre-built power distribution model of the plurality of AAU devices corresponding to each sink node in the power supply network. The electric quantity distribution model may be: y=b 0 +b 1 x 1 +b 2 x 2 +b 3 x 3 +...b n x n B above 0 To adjust the constant, b is as follows 1 、b 2 、b 3 、b n And as for the variable coefficient of the electric quantity distribution model, y represents the electric quantity which the sink node needs to distribute to each AAU device in a preset time period (namely, y represents the required power consumption of each AAU device corresponding to the sink node in the preset time period).
Above x 1 、x 2 、x 3 、x n The wireless performance data corresponding to each AAU device obtained from the BBU device, such as traffic data, RRC connection number, etc., where x is the above n It may also be determined based on scene users' benefits, which may be value generated by traffic, sites,the method comprises the steps of comprehensively judging and formulating corresponding evaluation indexes of consumption habits of single users in a coverage area, wherein the service and value index of a scene cell are corresponding score rule indexes formulated in different scenes according to network coverage scenes, the time and property classification information is time season and property maintenance difficulty information evaluation indexes, and the competitor information is an evaluation index formulated according to acquired maintenance frequency of the competitor in a base station and the frequency of emergency power generation.
Taking the above calculation of the flow data, traffic data and RRC connection number in the preset time period, which are obtained in the process of calculating the power supply amount required by the AAU device in the preset time period, as an example, x 1 Representative flow data, x 2 Representing traffic data, x 3 Representing the RRC connection number, the power allocation model may be: y=b 0 +b 1 x 1 +b 2 x 2 +b 3 x 3 B can be calculated by taking the acquired data corresponding to the electric quantity distribution model into the electric quantity distribution model through the flow data, the telephone traffic data and the RRC connection number corresponding to each AAU device in a plurality of groups of history time periods which are acquired in advance and the historical electric quantity consumption of the AAU device in the history time period corresponding to the flow data, the telephone traffic data and the RRC connection number data 1 、b 2 、b 3 The corresponding specific data can further determine the electric quantity distribution model of each AAU device corresponding to each sink node. In this way, after determining the electric quantity distribution model of each AAU device corresponding to each sink node, the acquired flow data, traffic data and RRC number corresponding to the AAU device in the historical time period can be brought into the determined electric quantity distribution model, so that the required electric consumption of the AAU device in the preset time period can be determined. And further, according to the determined required power consumption of the AAU equipment in the preset time period, the required power supply quantity of a plurality of AAU equipment corresponding to each sink node in the power supply networking in the preset time period can be determined.
Furthermore, because the current power supply of the AAU device in the base station is in a rigid direct power supply access mode, the power supply state of the AAU device by the BBU device cannot be monitored and dynamically allocated, in order to form an intelligent networking power supply mode, power resources are dynamically allocated, and data of the power consumption situation of the AAU device are safely and effectively monitored.
The method for constructing the power supply networking can be various, and the following optional method for constructing the power supply networking is provided, and the specific construction process is as follows:
and constructing a power supply networking by taking power supply lines of a plurality of BBU devices corresponding to a plurality of sink nodes contained in the target area as a sink trunk and taking power supply lines of a plurality of AAU devices hung under each BBU device as sink branches, wherein the power supply networking can be a fishbone type power supply networking.
Specifically, as shown in fig. 6, fig. 6 is a constructed fishbone power supply network, where the aggregation trunk is a power supply line of a plurality of BBU devices corresponding to a plurality of aggregation nodes included in a target area, and the aggregation trunk is a power supply line where a plurality of AAU devices hung under each BBU device are located.
As can be seen from the technical solutions provided by the embodiments of the present invention, the embodiments of the present invention obtain the power supply amounts required by a plurality of AAU devices corresponding to a target sink node in a power supply network in a preset time period, determine the total power supply amount required by the target sink node in the preset time period according to the power supply amounts required by the plurality of AAU devices, determine whether the total power supply amount required by the target sink node in the preset time period meets a first preset condition, and determine an electric quantity scheduling policy for performing electric quantity scheduling for the target sink node when the total power supply amount required by the target sink node in the preset time period meets the first preset condition, and then perform electric quantity scheduling for the target sink node according to the electric quantity scheduling policy. The embodiment of the invention can solve the technical problem that the 5G base station has high power consumption and cannot guarantee the backup power supply of the AAU-level equipment.
According to the power scheduling method provided by the above embodiment, based on the same technical concept, the embodiment of the present invention further provides a power scheduling device, and fig. 7 is a schematic diagram of module composition of the power scheduling device provided by the embodiment of the present invention, where the power scheduling device is configured to execute the power scheduling method described in fig. 1 to 6, and as shown in fig. 7, the power scheduling device includes:
a first obtaining module 701, configured to obtain power supply amounts required by a plurality of AAU devices corresponding to a target sink node in a power supply network within a preset period of time;
a first determining module 702, configured to determine, according to the power supply amounts required by the plurality of AAU devices, a total required power supply amount of the target sink node in a preset time period;
a judging module 703, configured to judge whether the total required power supply amount of the target sink node in a preset period of time meets a first preset condition;
a second determining module 704, configured to determine an electric quantity scheduling policy for performing electric quantity scheduling for the target sink node when the total required power supply amount of the target sink node in the preset time period meets the first preset condition;
and the power scheduling module 705 is configured to perform power scheduling for the target sink node according to the power scheduling policy.
Optionally, the judging module comprises
The acquisition unit is used for acquiring the actual power supply quantity of the target sink node at the current moment;
the judging unit is used for judging whether the total required power supply amount of the target sink node in a preset time period is smaller than the actual power supply amount of the target sink node at the current moment according to the actual power supply amount of the target sink node at the current moment and the total required power supply amount of the target sink node.
Optionally, the second determining module includes:
the first determining unit is used for determining the electric quantity to be scheduled of the target sink node in the preset time period according to the total required power supply quantity of the target sink node in the preset time period and the actual power supply quantity at the current moment when the total required power supply quantity of the target sink node in the preset time period meets a first preset condition;
and the second determining unit is used for determining an electric quantity scheduling strategy for scheduling the electric quantity for the target sink node according to the electric quantity to be scheduled.
Optionally, the second determining unit includes:
the first determining subunit is configured to determine, according to the electric quantity to be scheduled and a distribution area of each sink node in the power supply network, a sink node to be scheduled for performing electric quantity scheduling on the target sink node;
The second determining subunit is used for judging whether the electric quantity to be scheduled is scheduled from the sink node to be scheduled or not to meet a second preset condition;
the first execution subunit is used for determining to execute an electric quantity scheduling strategy for scheduling the electric quantity to be scheduled from the sink node to be scheduled to the target sink node under the condition that the second preset condition is met;
and the second execution subunit is used for determining to prohibit execution of an electric quantity scheduling strategy for scheduling the electric quantity to be scheduled from the sink node to be scheduled to the target sink node under the condition that the second preset condition is not met.
Optionally, the second determining subunit is configured to:
determining the power consumption when the power to be scheduled is scheduled for the target sink node from the sink node to be scheduled according to the areas of the sink node to be scheduled and the target sink node;
and judging whether the electric quantity loss is smaller than a preset threshold value or not.
Optionally, the apparatus further includes:
the second acquisition module is used for acquiring flow data, traffic data and RRC connection number corresponding to the AAU equipment in the historical time period;
A third determining module, configured to determine, according to the traffic data, and the RRC connection number, a required power consumption of the AAU device in a preset time period;
and the fourth determining module is used for determining the required power supply quantity of a plurality of AAU devices corresponding to each sink node in the power supply networking in the preset time period according to the required power consumption of the AAU devices in the preset time period.
Optionally, the target sink node includes a BBU pool, the BBU pool includes a plurality of BBU devices, and the BBU devices hang down a plurality of AAU devices, the apparatus further includes:
the networking module is used for constructing a power supply networking by taking power supply lines of a plurality of BBU devices corresponding to a plurality of aggregation nodes contained in a target area as an aggregation trunk and taking power supply lines of a plurality of AAU devices hung under each BBU device as aggregation branches.
As can be seen from the technical solutions provided by the embodiments of the present invention, the embodiments of the present invention obtain the power supply amounts required by a plurality of AAU devices corresponding to a target sink node in a power supply network in a preset time period, determine the total power supply amount required by the target sink node in the preset time period according to the power supply amounts required by the plurality of AAU devices, determine whether the total power supply amount required by the target sink node in the preset time period meets a first preset condition, and determine an electric quantity scheduling policy for performing electric quantity scheduling for the target sink node when the total power supply amount required by the target sink node in the preset time period meets the first preset condition, and then perform electric quantity scheduling for the target sink node according to the electric quantity scheduling policy. The embodiment of the invention can solve the technical problem that the 5G base station has high power consumption and cannot guarantee the standby power supply of the AAU-level equipment.
The electric quantity scheduling device provided by the embodiment of the invention can realize each process in the embodiment corresponding to the electric quantity scheduling method, and in order to avoid repetition, the description is omitted here.
It should be noted that, the power scheduling device provided by the embodiment of the present invention and the power scheduling method provided by the embodiment of the present invention are based on the same inventive concept, so that the specific implementation of the embodiment may refer to the implementation of the foregoing power scheduling method, and the repetition is not repeated.
According to the power scheduling method provided by the foregoing embodiments, based on the same technical conception, the embodiment of the present invention further provides an electronic device for executing the power scheduling method, and fig. 8 is a schematic structural diagram of an electronic device for implementing the embodiments of the present invention, where, as shown in fig. 8, the electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors 801 and a memory 802, where the memory 802 may store one or more storage applications or data. Wherein the memory 802 may be transient storage or persistent storage. The application programs stored in the memory 802 may include one or more modules (not shown), each of which may include a series of computer-executable instructions for use in an electronic device. Still further, the processor 801 may be configured to communicate with a memory 802 and execute a series of computer executable instructions in the memory 802 on an electronic device. The electronic device may also include one or more power supplies 803, one or more wired or wireless network interfaces 804, one or more input/output interfaces 805, one or more keyboards 806.
In this embodiment, the electronic device includes a processor, a communication interface, a memory, and a communication bus; the processor, the communication interface and the memory complete communication with each other through a bus; the memory is used for storing a computer program; the processor is configured to execute the program stored in the memory, and implement the following method steps:
acquiring power supply quantity required by a plurality of AAU devices corresponding to a target sink node in a power supply networking within a preset time period;
determining the total required power supply amount of the target sink node in a preset time period according to the required power supply amounts of a plurality of AAU devices;
judging whether the total power supply required by the target sink node in a preset time period meets a first preset condition or not;
determining an electric quantity scheduling strategy for performing electric quantity scheduling on the target sink node under the condition that the total required power supply quantity of the target sink node in a preset time period meets the first preset condition;
and carrying out electric quantity scheduling on the target sink node according to the electric quantity scheduling policy.
The embodiment of the application also provides a computer readable storage medium, wherein the storage medium stores a computer program, and the computer program realizes the following method steps when being executed by a processor:
Acquiring power supply quantity required by a plurality of AAU devices corresponding to a target sink node in a power supply networking within a preset time period;
determining the total required power supply amount of the target sink node in a preset time period according to the required power supply amounts of a plurality of AAU devices;
judging whether the total power supply required by the target sink node in a preset time period meets a first preset condition or not;
determining an electric quantity scheduling strategy for performing electric quantity scheduling on the target sink node under the condition that the total required power supply quantity of the target sink node in a preset time period meets the first preset condition;
and carrying out electric quantity scheduling on the target sink node according to the electric quantity scheduling policy.
As can be seen from the technical solutions provided by the embodiments of the present invention, the embodiments of the present invention obtain the power supply amounts required by a plurality of AAU devices corresponding to a target sink node in a power supply network in a preset time period, determine the total power supply amount required by the target sink node in the preset time period according to the power supply amounts required by the plurality of AAU devices, determine whether the total power supply amount required by the target sink node in the preset time period meets a first preset condition, and determine an electric quantity scheduling policy for performing electric quantity scheduling for the target sink node when the total power supply amount required by the target sink node in the preset time period meets the first preset condition, and then perform electric quantity scheduling for the target sink node according to the electric quantity scheduling policy. The embodiment of the invention can solve the technical problem that the 5G base station has high power consumption and cannot guarantee the standby power supply of the AAU-level equipment.
It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, the electronic device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It is to be understood that the embodiments of the invention described herein may be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For a hardware implementation, the processing units may be implemented within one or more application specific integrated circuits (Application Specific Integrated Circuits, ASIC), digital signal processors (Digital Signal Processing, DSP), digital signal processing devices (DSP devices, DSPD), programmable logic devices (Programmable Logic Device, PLD), field programmable gate arrays (Field-Programmable Gate Array, FPGA), general purpose processors, controllers, microcontrollers, microprocessors, other electronic units designed to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described in embodiments of the present application may be implemented by modules (e.g., procedures, functions, and so on) that perform the functions described in embodiments of the present application. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
It should also be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be apparent to those skilled in the art that embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (8)
1. A power scheduling method, the method comprising:
acquiring power supply quantity required by a plurality of AAU devices corresponding to a target sink node in a power supply networking within a preset time period;
determining the total required power supply amount of the target sink node in a preset time period according to the required power supply amounts of a plurality of AAU devices;
judging whether the total power supply required by the target sink node in a preset time period meets a first preset condition or not;
determining an electric quantity scheduling strategy for performing electric quantity scheduling on the target sink node under the condition that the total required power supply quantity of the target sink node in a preset time period meets the first preset condition;
performing electric quantity scheduling on the target sink node according to the electric quantity scheduling policy;
the determining the power scheduling policy for performing power scheduling for the target sink node includes:
Determining the electric quantity to be scheduled of the target sink node in a preset time period;
determining a to-be-scheduled sink node for carrying out electric quantity scheduling on the target sink node according to the to-be-scheduled electric quantity and the distribution area of each sink node in the power supply networking;
determining the power consumption when the power to be scheduled is scheduled for the target sink node from the sink node to be scheduled according to the areas of the sink node to be scheduled and the target sink node;
judging whether the electric quantity loss is smaller than a preset threshold value or not;
under the condition that the power consumption is smaller than a preset threshold, determining to execute a power dispatching strategy for dispatching the power to be dispatched from the sink node to be dispatched to the target sink node for power dispatching;
and under the condition that the consumed electric quantity is not smaller than a preset threshold value, determining to prohibit executing an electric quantity scheduling strategy for scheduling the electric quantity to be scheduled from the sink node to be scheduled to the target sink node.
2. The method of claim 1, wherein the determining whether the total required power supply amount of the target sink node in a preset period of time satisfies a first preset condition comprises:
Acquiring the actual power supply quantity of the target sink node at the current moment;
and judging whether the total required power supply amount of the target sink node in a preset time period is smaller than the actual power supply amount of the target sink node at the current moment according to the actual power supply amount of the target sink node at the current moment and the total required power supply amount of the target sink node.
3. The method according to claim 1, wherein the determining, in a case where the total required power supply amount of the target sink node in the preset period of time meets a first preset condition, a power scheduling policy for performing power scheduling for the target sink node includes:
under the condition that the total required power supply amount of the target sink node in a preset time period meets a first preset condition, determining the electric quantity to be scheduled of the target sink node in the preset time period according to the total required power supply amount of the target sink node in the preset time period and the actual power supply amount at the current moment;
and determining an electric quantity scheduling strategy for performing electric quantity scheduling on the target sink node according to the electric quantity to be scheduled.
4. The method according to claim 1, wherein before the obtaining the power supply amounts required by the plurality of AAU devices corresponding to the target sink node in the power supply network in the preset period of time, the method further includes:
Acquiring flow data, traffic data and RRC connection number corresponding to the AAU device in a historical time period;
determining the required power consumption of the AAU device in a preset time period according to the traffic data, the telephone traffic data and the RRC connection number;
and determining the required power supply quantity of a plurality of AAU devices corresponding to each sink node in the power supply networking in the preset time period according to the required power consumption of the AAU devices in the preset time period.
5. The method of claim 1, wherein the target sink node comprises a BBU pool comprising a plurality of BBU devices under-hanging a plurality of AAU devices;
the method further comprises the steps of:
and constructing a power supply networking by taking power supply lines of a plurality of BBU devices corresponding to a plurality of aggregation nodes contained in a target area as an aggregation trunk and taking power supply lines of a plurality of AAU devices hung under each BBU device as aggregation branches.
6. An electrical quantity scheduling device, characterized in that the device comprises:
the first acquisition module is used for acquiring the power supply quantity required by a plurality of AAU devices corresponding to the target sink node in the power supply networking within a preset time period;
the first determining module is used for determining the total required power supply amount of the target sink node in a preset time period according to the power supply amounts required by a plurality of AAU devices;
The judging module is used for judging whether the total power supply required by the target sink node in a preset time period meets a first preset condition or not;
the second determining module is used for determining an electric quantity scheduling strategy for performing electric quantity scheduling on the target sink node under the condition that the total required power supply quantity of the target sink node in a preset time period does not meet the first preset condition;
the power scheduling module is used for performing power scheduling on the target sink node according to the power scheduling policy;
the second determining module includes:
the first determining unit is used for determining the electric quantity to be scheduled of the target sink node in a preset time period;
the first determining subunit is used for determining to-be-scheduled sink nodes for performing electric quantity scheduling for the target sink nodes according to the to-be-scheduled electric quantity and the distribution areas of the sink nodes in the power supply networking;
a second determining subunit, configured to determine, according to the areas where the sink node to be scheduled and the target sink node are located, a power consumption when the power to be scheduled is scheduled for the target sink node from the sink node to be scheduled;
judging whether the electric quantity loss is smaller than a preset threshold value or not;
The first execution subunit is used for determining to execute an electric quantity scheduling strategy for scheduling the electric quantity to be scheduled from the sink node to be scheduled to the target sink node under the condition that the electric quantity loss is smaller than a preset threshold value;
and the second execution subunit is used for determining to prohibit execution of an electric quantity scheduling strategy for scheduling the electric quantity to be scheduled from the sink node to be scheduled to the target sink node under the condition that the electric quantity loss is not less than a preset threshold value.
7. An electronic device comprising a processor, a communication interface, a memory, and a communication bus; the processor, the communication interface and the memory complete communication with each other through a bus; the memory is used for storing a computer program; the processor is configured to execute a program stored in the memory, and implement the steps of the power scheduling method according to any one of claims 1 to 5.
8. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the power scheduling method steps of any of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011116413.8A CN114390371B (en) | 2020-10-19 | 2020-10-19 | Electric quantity scheduling method and device and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011116413.8A CN114390371B (en) | 2020-10-19 | 2020-10-19 | Electric quantity scheduling method and device and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114390371A CN114390371A (en) | 2022-04-22 |
| CN114390371B true CN114390371B (en) | 2023-08-15 |
Family
ID=81193926
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011116413.8A Active CN114390371B (en) | 2020-10-19 | 2020-10-19 | Electric quantity scheduling method and device and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114390371B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114693006B (en) * | 2022-06-01 | 2022-07-29 | 天津市普迅电力信息技术有限公司 | Power distribution and energy storage management system and method for novel power system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5912963A (en) * | 1997-03-03 | 1999-06-15 | At&T Corp. | Method and apparatus for providing an alternate telecommunications network |
| CN1852449A (en) * | 2005-07-15 | 2006-10-25 | 华为技术有限公司 | Spare electricity system and method for realizing power supply |
| CN105228175A (en) * | 2015-09-17 | 2016-01-06 | 福建新大陆软件工程有限公司 | A kind of base station energy consumption optimization method based on decision tree and system |
| JP2016111893A (en) * | 2014-12-10 | 2016-06-20 | 三星エスディアイ株式会社Samsung SDI Co., Ltd. | Power supply system and base station system |
| CN105992344A (en) * | 2015-02-15 | 2016-10-05 | 中兴通讯股份有限公司 | Baseband pool sharing method, device and distributed base station system |
| CN107147187A (en) * | 2017-06-28 | 2017-09-08 | 郑州云海信息技术有限公司 | A kind of BBU battery packs and its charging management method and system |
| CN109085909A (en) * | 2018-07-25 | 2018-12-25 | 郑州云海信息技术有限公司 | A kind of distribution of disk array standby method for electrically and device |
| CN110832894A (en) * | 2017-06-28 | 2020-02-21 | 华为技术有限公司 | Carrier power control method, apparatus, storage medium, and computer program product |
| CN111064666A (en) * | 2018-10-16 | 2020-04-24 | 中国移动通信集团广东有限公司 | Networking method and device |
| WO2020207264A1 (en) * | 2019-04-08 | 2020-10-15 | 阿里巴巴集团控股有限公司 | Network system, service provision and resource scheduling method, device, and storage medium |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070280175A1 (en) * | 2006-06-01 | 2007-12-06 | Fang-Chen Cheng | Coordinating transmission scheduling among multiple base stations |
| EP3047577B1 (en) * | 2013-09-17 | 2019-11-06 | CommScope Technologies LLC | Methods for enhanced power delivery to tower-mounted and other remotely-mounted remote radio heads and related systems and power cables |
| CN105098806B (en) * | 2014-05-21 | 2018-05-04 | 华为技术有限公司 | Electric energy dispatching method and device, method for managing power supply and device |
| CN109981765B (en) * | 2019-03-18 | 2023-03-24 | 北京百度网讯科技有限公司 | Method and apparatus for determining access path of content distribution network |
-
2020
- 2020-10-19 CN CN202011116413.8A patent/CN114390371B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5912963A (en) * | 1997-03-03 | 1999-06-15 | At&T Corp. | Method and apparatus for providing an alternate telecommunications network |
| CN1852449A (en) * | 2005-07-15 | 2006-10-25 | 华为技术有限公司 | Spare electricity system and method for realizing power supply |
| JP2016111893A (en) * | 2014-12-10 | 2016-06-20 | 三星エスディアイ株式会社Samsung SDI Co., Ltd. | Power supply system and base station system |
| CN105992344A (en) * | 2015-02-15 | 2016-10-05 | 中兴通讯股份有限公司 | Baseband pool sharing method, device and distributed base station system |
| CN105228175A (en) * | 2015-09-17 | 2016-01-06 | 福建新大陆软件工程有限公司 | A kind of base station energy consumption optimization method based on decision tree and system |
| CN107147187A (en) * | 2017-06-28 | 2017-09-08 | 郑州云海信息技术有限公司 | A kind of BBU battery packs and its charging management method and system |
| CN110832894A (en) * | 2017-06-28 | 2020-02-21 | 华为技术有限公司 | Carrier power control method, apparatus, storage medium, and computer program product |
| CN109085909A (en) * | 2018-07-25 | 2018-12-25 | 郑州云海信息技术有限公司 | A kind of distribution of disk array standby method for electrically and device |
| CN111064666A (en) * | 2018-10-16 | 2020-04-24 | 中国移动通信集团广东有限公司 | Networking method and device |
| WO2020207264A1 (en) * | 2019-04-08 | 2020-10-15 | 阿里巴巴集团控股有限公司 | Network system, service provision and resource scheduling method, device, and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 基于AI的5G基站节能技术研究;梁力维;李荣聪;;移动通信(12);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114390371A (en) | 2022-04-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20230198257A1 (en) | Establishing Communication and Power Sharing Links Between Components of a Distributed Energy System | |
| CN109327323B (en) | New energy grid-connected power communication network planning and optimizing method and system | |
| CN104038941A (en) | Network capacity expansion method and network capacity expansion device | |
| Farbod et al. | Resource allocation and outage control for solar-powered WLAN mesh networks | |
| CN103974261A (en) | Device and method in wireless communication system | |
| CN103338470A (en) | Spectrum demand forecasting method and device | |
| CN114390371B (en) | Electric quantity scheduling method and device and electronic equipment | |
| EP3979563A1 (en) | Inter-domain data interaction method and apparatus | |
| CN115277598A (en) | Computing resource scheduling method and device and computer readable storage medium | |
| CN105682124B (en) | A kind of power-economizing method based on virtual network | |
| KR20140005282A (en) | Centralized management of the supply of power to a plurality of local power networks | |
| CN102970691A (en) | Indoor and outdoor joint resource management method and base station | |
| CN114928849B (en) | Base station deployment method and device, electronic equipment and storage medium | |
| CN113258679B (en) | Power grid monitoring system channel distribution method based on server instance capacity reduction | |
| CN104735735A (en) | Multi-network interoperation method and device | |
| CN110418315B (en) | Method for calculating and managing power consumption of terminal of Internet of things | |
| Zahoor et al. | Fog computing based energy management system model for smart buildings | |
| CN110351189B (en) | Routing control method facing real-time edge calculation | |
| CN109302749B (en) | Method and device for allocating baseband resources | |
| CN102833166A (en) | Method and device for data flow distribution and mobile communication terminal | |
| CN113938992A (en) | Threshold determination method and device | |
| CN109492933B (en) | Power grid model dividing method and device based on SCADA system | |
| Miao et al. | Analysis on TD-LTE wireless private network capacity meeting the interaction demand of future smart grid | |
| CN112686548B (en) | Energy storage system operation method and device, electronic equipment and storage medium | |
| Guo et al. | Optimal Placement of Cloudlets Considering Electric Power Communication Network and Renewable Energy Resource |
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 |