CN114390371A - Electric quantity scheduling method and device and electronic equipment - Google Patents
Electric quantity scheduling method and device and electronic equipment Download PDFInfo
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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: the method comprises the steps of obtaining power supply quantity required by a plurality of AAU devices corresponding to a target sink node in a power supply networking in a preset time period, determining total power supply quantity required by the target sink node in the preset time period according to the power supply quantity required by the AAU devices, judging whether the total power supply quantity required by the target sink node in the preset time period meets a first preset condition, determining an electric quantity scheduling strategy for scheduling electric quantity for the target sink node under the condition that the total power supply quantity required by the target sink node in the preset time period meets the first preset condition, and then scheduling the electric quantity 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 large power consumption and cannot guarantee the backup 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 scheduling electric quantity, and an electronic device.
Background
The 5G Base station is a core device of a communication network, and mainly includes a BBU (Base band Unit) and an AAU (Active Antenna Unit). With the great improvement of the performance indexes of the 5G mobile communication technology, the power consumption of the base station equipment is also increased rapidly. Compared with a 4G base station 8T/8R antenna, the 5G base station AAU adopts a 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 amount of the base station is insufficient, the backup power supply guarantee for the AAU-level device cannot be guaranteed, and the situation that the AAU device in the base station cannot be supplied power is easily caused, so that the base station cannot normally send a signal, and the use experience of a user is influenced.
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 the 5G base station is high in power consumption and cannot guarantee a backup power supply for AAU-level equipment.
In order to solve the above technical problem, the embodiment of the present invention is implemented as follows:
in a first aspect, an embodiment of the present invention provides an electric quantity scheduling method, including:
acquiring power supply amount required by a plurality of AAU devices corresponding to target aggregation nodes in a power supply network within a preset time period;
determining the total power supply demand of the target sink node in a preset time period according to the power supply demand of the AAU equipment;
judging whether the total power supply demand of the target sink node in a preset time period meets a first preset condition;
under the condition that the total power supply demand of the target sink node in a preset time period meets the first preset condition, determining an electric quantity scheduling strategy for scheduling the electric quantity for the target sink node;
and carrying out electric quantity scheduling on the target sink node according to the electric quantity scheduling strategy.
Optionally, the determining whether the total power demand of the target sink node in a preset time period meets a first preset condition includes: acquiring the actual power supply amount of the target sink node at the current moment;
and judging whether the total power supply demand of the target sink node in a preset time period is less than the actual power supply demand of the target sink node at the current time according to the actual power supply demand of the target sink node at the current time and the total power supply demand of the target sink node.
Optionally, the determining, under the condition that the total power demand amount of the target sink node in a preset time period meets a first preset condition, an electric quantity scheduling policy for performing electric quantity scheduling on the target sink node includes:
under the condition that the total power supply demand 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 power supply demand of the target sink node in the preset time period and the actual power supply quantity at the current moment;
and 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 determining, according to the electric quantity to be scheduled, an electric quantity scheduling policy for performing electric quantity scheduling on the target sink node includes:
determining the sink nodes to be scheduled for scheduling the electric quantity for the target sink nodes according to the electric quantity to be scheduled and the distribution area of each sink node in the power supply network;
judging whether the electric quantity to be scheduled dispatched from the sink node to be dispatched meets a second preset condition or not;
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 forbid 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 for electric quantity scheduling.
Optionally, the determining whether the to-be-scheduled power amount scheduled by the to-be-scheduled sink node meets a second preset condition includes:
determining the electric quantity loss when the to-be-scheduled power quantity is scheduled for the target sink node from the to-be-scheduled sink node according to the areas of the to-be-scheduled sink node and the target sink node;
and judging whether the power loss is smaller than a preset threshold value.
Optionally, before the obtaining of the power supply amount required by the multiple AAU devices corresponding to the target aggregation node in the power supply networking in the preset time period, the method further includes:
acquiring flow data, telephone traffic data and RRC connection number corresponding to the AAU equipment in a historical time period;
determining the required power consumption of the AAU equipment within a preset time period according to the flow data, the telephone traffic data and the RRC connection number;
and determining the required power supply amount of a plurality of AAU devices corresponding to each aggregation 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 a plurality of AAU devices are hung under the BBU devices;
the method further comprises the following steps:
and constructing a power supply network by taking power supply circuits of a plurality of BBU (base band unit) devices corresponding to a plurality of aggregation nodes contained in a target area as aggregation backbones and taking power supply circuits of a plurality of AAU (architecture automation) 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 nodes in the power supply networking in a preset time period;
the first determining module is used for determining the total power supply demand of the target sink node in a preset time period according to the power supply demand of the AAU equipment;
the judging module is used for judging whether the total power supply demand of the target sink node in a preset time period meets a first preset condition;
a second determining module, configured to determine an electric quantity scheduling policy for performing electric quantity scheduling on the target sink node when 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 scheduling the electric quantity for 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: the system comprises a processor, a communication interface, a memory and a communication bus; the processor, the communication interface and the memory complete mutual communication 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 steps of the power scheduling method 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, where the computer program, 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 in the embodiment of the invention, the required power supply amount of a plurality of AAU (architecture) devices corresponding to the target sink node in the power supply networking in a preset time period is obtained, the total required power supply amount of the target sink node in the preset time period is determined according to the required power supply amount of the AAU devices, whether the total required power supply amount of the target sink node in the preset time period meets a first preset condition or not is judged, an electric quantity scheduling strategy for performing electric quantity scheduling on the target sink node is determined under the condition that the total required power supply amount of the target sink node in the preset time period meets the first preset condition, and then the electric quantity scheduling is performed 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 large power consumption and cannot guarantee the backup 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 used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a first flowchart of a power scheduling method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a power scheduling method according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a power scheduling method according to an embodiment of the present invention;
fig. 4 is a fourth flowchart illustrating an electric quantity scheduling method according to an embodiment of the present invention;
fig. 5 is a schematic flow chart of a fifth method for scheduling electric power 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 illustrating a module composition of an electric quantity scheduling apparatus 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 an electric quantity scheduling method, an electric quantity scheduling device and electronic equipment.
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an execution subject of the method may be a server or a network device, where the server may be an independent server, a distributed server, or a server cluster composed of multiple 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 aggregation node. The method may specifically comprise the steps of:
in step S102, the power supply amount required by a plurality of AAU devices corresponding to the target sink node in the power supply networking in a preset time period is obtained.
Wherein, the preset time period may be 8:00 in the morning to 12 noon: 00 or, alternatively, 12 noon: 00 to 18 pm: 00 or, alternatively, 18: 00 to 24:00 in the morning, etc. Alternatively, the preset time period may also be a preset time interval within the preset time period, for example: may be 8:00 in the morning to 12 noon: 00 every 15 or 30 minutes, or, alternatively, every 15 or 30 minutes for a period of time from 0:00 to 24: 00.
The power supply network can be formed by a plurality of aggregation nodes and a power transmission line network where a plurality of AAU devices hung below the aggregation nodes are located. The sink node may be a machine room in which BBU devices in the base station are centrally placed, that is, a BBU pool machine room. The target aggregation node may be an aggregation node carrying target identification information, and the target identification may be identification information used for distinguishing each aggregation node, for example, a geographical name of an area where the aggregation node is located. Each BBU pool machine room is 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 and a storage battery. 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 certain city as an example, a machine room with 4 BBU devices concentrated in the city, that is, a BBU pool machine room, where the four BBU pool machine rooms correspond to a power supply area respectively, that is, each BBU pool machine room supplies power to the BBU devices in the BBU pool machine room and a plurality of AAU devices hung below the BBU devices, and a power supply network can be determined according to a network formed by power transmission lines where the plurality of AAU devices hung below the four BBU pool machine rooms and the BBU pool machine rooms are located.
It should be noted that, the electric quantities between the sink nodes in the power supply network can be mutually called, for example, the 4 BBU pool machine rooms are respectively an a machine room, a B machine room, a C machine room and a D machine room, when it is detected that an electric quantity of a certain machine room (e.g., the a machine room) of the 4 BBU pool machine rooms is insufficient to supply power to the AAU device hung under the certain BBU device in the BBU pool machine room, when the benefit of scheduling the electric quantity in the electric quantity scheduling process is far greater than a value corresponding to the electric quantity loss generated in the electric quantity scheduling process, or when the electric quantity loss generated in the electric quantity scheduling process is less than a predetermined threshold, at least one BBU pool can be selected from the power supply network, and an appropriate quantity of electric quantity is called from the electric quantity of the selected at least one BBU pool machine room to supply the insufficient machine room, in this way, by scheduling the electric quantity between the aggregation nodes in the power supply network, a favorable backup power supply guarantee can be provided for the AAU-level equipment in the power supply network.
In implementation, in the process of constructing a 5G network and a subsequent higher-level network of the 5G network based on a current network base station, problems of mains supply capacity, direct-current power supply capacity, standby power time, output power distribution and the like are mainly encountered, and the problems are mainly solved by a scheme of expanding or replacing the existing power supply equipment at present, but the implementation period of the scheme is long, which will prevent the 5G/6G network from being rapidly constructed, and at the same time, the construction, operation and maintenance cost can be increased, and the following aspects are mainly presented: for the sites with insufficient commercial power capacity, commercial power capacity increase application and construction time is long (generally 3-6 months), and some dense urban sites cannot develop commercial power capacity increase engineering construction due to limited total capacity of a power grid and difficulty in laying lines; for a site with insufficient capacity of the direct-current power supply, the capacity expansion slot position of the rectifier module is insufficient or the rectifier modules of the same type stop production, so that the system capacity expansion cannot be performed, the whole direct-current power supply system needs to be replaced, the normal work of the existing network communication equipment is influenced, the assets of the existing power supply equipment are wasted, and the construction cost is increased; for the station with insufficient standby power time, the machine room space or insufficient bearing is mainly faced, the storage battery pack cannot be expanded or replaced, the power supply reliability is affected, and the operation and maintenance guarantee cost is increased. For a power supply station of outdoor high-power-consumption equipment (such as AAU equipment) which is far away (more than 100 meters), indoor-48V direct current is adopted for supplying power, the loss of a power supply line is large, the tail end voltage is low, so that the communication equipment cannot normally work, 1 set of boosting equipment needs to be independently added, the output power supply voltage is adjusted according to the power supply distance, the matching management with the existing power supply cannot be realized, certain influence is brought to the power supply reliability, and the construction, operation and maintenance cost is increased. Based on the above problems, at present, it is impossible to realize independent backup power supply guarantee for the AAU device at each point location for each power supply room (such as BBU pool machine room), and the problems of physical position of the control, power supply conditions and cost of the backup power supply can be hardly solved in the process of performing the backup power supply for the AAU device at each power supply room. Therefore, the embodiments of the present invention provide a technical solution to solve the above problems, and refer to the following contents.
Taking the power supply networking as an example, the power supply networking may be formed by a plurality of aggregation nodes and a power transmission line network in which a plurality of AAU devices hung under each aggregation node are located, acquiring a power supply area networking map of each aggregation node contained in a target area, specifically, the power supply area networking map may include a power supply line network map of a BBU device corresponding to each aggregation node and a power supply line network map of each AAU device corresponding to each BBU device, constructing the power supply networking in the target area according to the acquired power supply line network map of the BBU device corresponding to each aggregation node in the target area and the power supply line network maps of each AAU device corresponding to each BBU device, so as to integrally schedule the electric quantity between the aggregation nodes in the networking area, or integrally schedule the electric quantity between the aggregation nodes in the networking area, the electric quantity in each aggregation node is respectively scheduled, so that the electric quantity among the aggregation nodes in the power supply network is scheduled, favorable backup power supply guarantee can be provided for AAU-level equipment in the power supply network, the problems that the implementation period is long, the implementation and maintenance cost is high, a large amount of manpower and material resources are wasted due to expansion or replacement of the existing power supply equipment in the process of constructing a 5G network and a subsequent higher-level network of the 5G network by the existing network base station are solved, and the problem that the power supply quantity of a plurality of base stations contained in a target area cannot be uniformly managed at present is solved.
It should be noted that, the building process of the power supply networking corresponding to the target area may be various, and according to the obtained power supply line network diagram of the BBU device corresponding to each aggregation node in the target area and the power supply line network diagram of each AAU device corresponding to each BBU device, a line corresponding to power transmission between aggregation nodes in the connection target area is used as a power supply aggregation trunk line, and a power supply line of each AAU device corresponding to each BBU device is used as a power supply aggregation trunk line to build the power supply networking in the target area; or, an area power supply networking of a power supply area corresponding to each aggregation node may be respectively constructed by a power supply line network diagram of a plurality of BBU devices corresponding to each aggregation node and a power supply line network diagram of each AAU device corresponding to each BBU device, and then, a power supply networking in a target area may be constructed according to the constructed area power supply networking of each power supply area and a distribution area in the target area where each aggregation node is located. Alternatively, the power supply networking in the target area may also be constructed in other manners, which is not specifically limited in this embodiment of the present specification.
In implementation, after a power supply networking corresponding to a certain target area is established for a plurality of sink nodes included in the target area, a server may obtain, through a predetermined interface, a power supply amount required by a plurality of AAU devices corresponding to the target sink nodes in the power supply networking within a preset time period.
Specifically, the server may search, according to target identification information corresponding to the target aggregation node, historical power supply amount information of a plurality of AAU devices corresponding to the target aggregation node corresponding to the target identification information in a historical preset time period, and estimate, according to the historical power supply amount information, a power supply amount required by the plurality of AAU devices corresponding to the target aggregation node in the power supply networking in the preset time period, so as to obtain the power supply amount required by the plurality of AAU devices corresponding to the target aggregation node in the power supply networking in the preset time period. Or, the server may further obtain, according to the target identification information corresponding to the target sink node, signaling data of a plurality of BBU devices that are hung under the target sink node within a historical preset time period in the power supply networking, estimate, in a manner of analyzing the signaling data obtained from each BBU device, a required power supply amount of a plurality of AAU devices corresponding to the target sink node within the preset time period, and further obtain a required power supply amount of a plurality of AAU devices corresponding to the target sink node in the power supply networking within the preset time period.
In step S104, a total power supply demand of the target sink node in a preset time period is determined according to the power supply demands of the plurality of AAU devices.
In implementation, after acquiring the power supply amounts required by the multiple AAU devices corresponding to the target aggregation node in the power supply networking in the preset time period through the processing in S102, the server may determine the power supply amount required by the BBU device on which the multiple AAU devices are mounted according to the power supply amounts required by the multiple AAU devices, and may further determine the total power supply amount required by the target aggregation node in the preset time period according to the determined power supply amounts required by the multiple BBU devices included in the target aggregation node.
In step S106, it is determined whether the total power demand of the target sink node in the preset time period satisfies a first preset condition.
In implementation, after determining the total power consumption of the target sink node within the preset time period through the processing of the S104, the server may find out historical power consumption information of the target sink node corresponding to the target identification information within a historical preset time period according to the target identification information of the target sink node, and determine whether the total power consumption of the target sink node within the preset time period is greater than the historical power consumption of the target sink node within the historical preset time period.
In step S108, when the total power demand of the target sink node in the preset time period satisfies a first preset condition, an electric quantity scheduling policy for performing electric quantity scheduling on the target sink node is determined.
In implementation, the server determines to perform the power scheduling policy for the target sink node when determining, through the processing in S106, that the total power demand of the target sink node in a preset time period satisfies the first preset condition. Wherein, the electric quantity scheduling policy can be a scheduling policy of at least one sink node in a power supply network for determining to schedule the electric quantity for the target sink node according to the area where the target sink node is located, or, according to the area where the target sink node is located, determining at least one sink node in the power supply network for scheduling electric quantity for the target sink node and a scheduling policy for scheduling preset electric quantity from the at least one sink node, or, according to the area where the target sink node is located, at least one sink node in the power supply networking for performing power scheduling on the target sink node, a scheduling policy of a power scheduling sequence for scheduling at least one sink node to perform power scheduling on the target sink node, and the like may be determined.
Specifically, the server determines, through the processing in S106, an electric quantity scheduling policy for performing electric quantity scheduling on the target sink node when it is determined that the total required power supply quantity of the target sink node in the preset time period is greater than the historical electric quantity consumption quantity of the target sink node in the historical preset time period.
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 for the target sink node through the processing in S108, the server may perform power scheduling for the target sink node according to the determined power scheduling policy.
As can be seen from the above technical solutions provided by the embodiments of the present invention, in the embodiments of the present invention, power supply amounts required by multiple AAU devices corresponding to a target sink node in a power supply networking in a preset time period are obtained, a total required power supply amount of the target sink node in the preset time period is determined according to the power supply amounts required by the multiple AAU devices, whether the total required power supply amount of the target sink node in the preset time period meets a first preset condition is determined, an electric quantity scheduling policy for performing electric quantity scheduling on the target sink node is determined when the total required power supply amount of the target sink node in the preset time period meets the first preset condition, and then, the electric quantity scheduling is performed on 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 step S108 may be varied, and an optional processing procedure is provided below, which may be specifically referred to as the specific processing procedure of step one to step two below.
Step one, acquiring the actual power supply amount 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 time according to the target identification information of the target sink node.
Specifically, the sink node in the embodiment of the present specification may be a machine room in which BBU devices in a base station are centrally placed, that is, a BBU pool machine room. The server may obtain, according to the target identification information of the BBU pool machine room, an actual power supply amount of the target BBU pool machine room corresponding to the current target identification information, according to a current actual power supply amount of the power supply device of the BBU pool machine room (e.g., a current actual power supply amount of a switching power supply cabinet, an ac power distribution cabinet, a storage battery, and the like).
And step two, judging whether the total power supply demand of the target sink node in a preset time period is less than the actual power supply demand of the target sink node at the current time according to the actual power supply demand of the target sink node at the current time and the total power supply demand of the target sink node.
In implementation, after acquiring the actual power supply amount of the target sink node at the current time through the processing in the first step, the server may determine whether the total power supply amount of the target sink node within a preset time period is less than the actual power supply amount of the target sink node at the current time according to the actual power supply amount of the target sink node at the current time and the total power supply amount of the target sink node.
Further, as shown in fig. 2, the specific processing procedure of step S108 may be various, and an alternative processing procedure is provided below, which may specifically refer to the specific processing procedures of step S1082 to step S1084 described below.
In step S1082, under the condition that the total power demand of the target sink node in the preset time period satisfies the first preset condition, determining the to-be-scheduled power amount of the target sink node in the preset time period according to the total power demand of the target sink node in the preset time period and the actual power supply amount at the current time.
In an implementation, the server determines, through the processing in S106, that the total power demand amount of the target sink node in a preset time period is greater than the historical power consumption amount of the target sink node in the historical preset time period, or when the server determines, through the processing in S106, that the total power demand 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 time, the server may determine the to-be-scheduled power amount of the target sink node in the preset time period by calculating a difference between the total power demand amount of the target sink node in the preset time period and the actual power supply amount at the current time. 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 step S1084 can be referred to as the specific processing procedure of step S10842 to step S10848 described below.
In step S10842, a sink node to be scheduled, which performs power scheduling for the target sink node, is determined according to the power to be scheduled and the distribution area of each sink node in the power supply network.
The sink node to be scheduled may be a sink node in the power supply network that is closer to the area where the target sink node is located, or may also be a sink node in the power supply network that has sufficient power supply (that is, the sink node may be a sink node that can meet the power consumption of its own device and also can provide power for other sink nodes).
In implementation, after the server determines the electric quantity to be scheduled of the target sink node within the preset time period through the processing of S1082, the sink node to be scheduled, which performs electric quantity scheduling for the target sink node, may be determined according to the electric quantity to be scheduled and the distribution area of each sink node in the power supply networking.
In step S10844, it is determined whether the amount of power to be scheduled from the sink node to be scheduled satisfies a second preset condition.
Specifically, as shown in fig. 4, the specific processing procedure of step S10844 can be referred to as the specific processing procedure of step S108442 to step S108444 described below.
In step S108442, the power consumption amount when the sink node to be scheduled schedules the power amount for the target sink node from the sink node to be scheduled is determined according to the areas where the sink node to be scheduled and the target sink node are located.
In step S108444, it is determined whether the power loss is less than a preset threshold.
In an implementation, for example, the preset threshold is 10w, after the server determines, through the processing in S10842, a to-be-scheduled aggregation node that performs power scheduling for the target aggregation node, and according to a location area of the to-be-scheduled aggregation node and the target aggregation node, determines that power loss when power to be scheduled is scheduled from the to-be-scheduled aggregation node to the target aggregation node is 10kw, if the power loss is determined to be much greater than the preset threshold (10w), if the power loss is determined to be greater than the preset threshold, it is determined that the second preset condition is not satisfied. If the server determines that the power consumption when the power consumption is scheduled from the sink node to be scheduled to the target sink node is 8w smaller than a preset threshold (10w) through the processing process, the server determines that the power consumption is smaller than the preset threshold, and then the server determines that the second preset condition is met. In step S10846, in a case that a second preset condition is satisfied, an electric quantity scheduling policy for scheduling the electric quantity to be scheduled from the sink node to be scheduled to the target sink node is determined. In step S10848, in a case that the second preset condition is not satisfied, it is determined that the power scheduling policy for scheduling the power to be scheduled from the sink node to be scheduled to the target sink node is prohibited from being executed.
Further, before the step S102, as shown in fig. 5, the method may further include the following processing of steps S002 to S006.
In step S002, traffic data, and the number of RRC connections 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, the required power supply amounts of the multiple AAU devices corresponding to the sink nodes in the power supply networking in the preset time period are determined according to the required power consumption amount of the AAU devices in the preset time period.
In implementation, the required power consumption of the AAU device corresponding to each aggregation node in a preset time period may be determined according to a pre-constructed power distribution model of the multiple AAU devices corresponding to each aggregation node in the power supply networking. The electric quantity distribution model may be: y is b0+b1x1+b2x2+b3x3+...bnxnB above is0B above for adjusting the constant1、b2、b3、bnFor the variable coefficient of the electric quantity distribution model, y represents the electric quantity that the sink node needs to be distributed to each AAU device in the preset time period (that is, y represents the need of each AAU device corresponding to the sink node in the preset time period)Power consumption).
X is above1、x2、x3、xnThe radio performance data corresponding to each AAU device acquired from the BBU device may be, for example, traffic data, RRC connection number, and the like, where x is the number of the above-mentioned devicesnThe method can also be determined based on the benefits obtained by the scene users, the scene community service and value, the hour property classification information, the competitor information and the like, wherein the benefits obtained by the scene users can be corresponding evaluation indexes established by comprehensively judging the consumption habits of single users in the coverage area through the service volume and the value generated by sites, the scene community service and the value refer to corresponding score rule indexes established under different scenes according to the network coverage scene, the hour property classification information refers to time seasons and property maintenance system difficulty information evaluation indexes, and the competitor information refers to evaluation indexes established according to the obtained times of frequent maintenance and emergency power generation of the competitor in the base station.
Taking the calculation of the acquired flow data, traffic data and RRC connection number in the preset time period adopted in the process of calculating the power supply amount required by the AAU equipment in the preset time period as an example, x1Representative flow data, x2Data representing traffic, x3Representing the number of RRC connections, the power allocation model may be: y is b0+b1x1+b2x2+b3x3The data obtained may be correspondingly substituted into the electric quantity distribution model through the previously obtained flow data, traffic data, and RRC connection number corresponding to each AAU device in a plurality of sets of historical time periods, and the historical electric quantity consumption of the AAU device in the historical time period corresponding to the flow data, the traffic data, and the RRC connection number data, and b may be calculated1、b2、b3And determining the electric quantity distribution model of each AAU device corresponding to each aggregation node according to the corresponding specific data. In this way, after the electric quantity distribution model of each AAU device corresponding to each aggregation node is determined, the acquired flow data and words corresponding to the AAU devices in the historical time period can be obtainedAnd substituting the traffic data and the RRC number into the determined electric quantity distribution model to determine the required electric quantity of the AAU equipment in the preset time period. And then, according to the determined required power consumption of the AAU equipment in the preset time period, determining the required power supply amount of a plurality of AAU equipment corresponding to each aggregation node in the power supply networking in the preset time period.
Further, because the power supply of the AAU device in the current base station is in a rigid power supply direct access mode, the BBU device cannot monitor and dynamically allocate the power supply state of the AAU device, and in order to form a power supply mode of an intelligent network, dynamically allocate power resources, and safely and effectively supervise data of the AAU power consumption, the embodiment of the present specification further needs to store the AAU device power consumption data in a node server at an edge end for analysis and processing, where the power consumption data may be a current value, a voltage value, a cell user number, a user traffic volume and a flow rate of the AAU device, a benefit obtained by a scene user, a scene cell service and value, a temporal property classification, competitor information, service range data, and the like, and simultaneously record the data and a processing result in the server.
The method for constructing the power supply networking can be various, and an optional construction method for constructing the power supply networking is provided as follows, and the specific construction process refers to the following contents:
and constructing a power supply networking by taking power supply circuits of a plurality of BBU (base band unit) devices corresponding to a plurality of aggregation nodes contained in the target area as aggregation backbones and taking power supply circuits of a plurality of AAU (architecture automation) devices hung under the BBU devices as aggregation branches, wherein the power supply networking can be a fishbone type power supply networking.
Specifically, as shown in fig. 6, fig. 6 is a fishbone-shaped power supply networking constructed, 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 branch is a power supply line of a plurality of AAU devices hung under each BBU device.
As can be seen from the above technical solutions provided by the embodiments of the present invention, in the embodiments of the present invention, power supply amounts required by multiple AAU devices corresponding to a target sink node in a power supply networking in a preset time period are obtained, a total required power supply amount of the target sink node in the preset time period is determined according to the power supply amounts required by the multiple AAU devices, whether the total required power supply amount of the target sink node in the preset time period meets a first preset condition is determined, an electric quantity scheduling policy for performing electric quantity scheduling on the target sink node is determined when the total required power supply amount of the target sink node in the preset time period meets the first preset condition, and then, the electric quantity scheduling is performed on 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.
Corresponding to the electric quantity scheduling method provided in the foregoing embodiment, based on the same technical concept, an embodiment of the present invention further provides an electric quantity scheduling apparatus, and fig. 7 is a schematic diagram illustrating a module composition of the electric quantity scheduling apparatus provided in the embodiment of the present invention, where the electric quantity scheduling apparatus is configured to execute the electric quantity scheduling method described in fig. 1 to 6, and as shown in fig. 7, the electric quantity scheduling apparatus includes:
a first obtaining module 701, configured to obtain power supply amounts required by multiple AAU devices corresponding to a target aggregation node in a power supply networking within a preset time period;
a first determining module 702, configured to determine, according to power supply amounts required by multiple AAU devices, a total power supply amount required by the target sink node within a preset time period;
a determining module 703, configured to determine whether the total power demand of the target sink node in a preset time period meets a first preset condition;
a second determining module 704, configured to determine an electric quantity scheduling policy for performing electric quantity scheduling on the target sink node when the total required power supply quantity of the target sink node in a preset time period meets the first preset condition;
the electric quantity scheduling module 705 is configured to perform electric quantity scheduling for the target sink node according to the electric quantity scheduling policy.
Optionally, the judging module comprises
The acquisition unit is used for acquiring the actual power supply amount of the target sink node at the current moment;
and the judging unit is used for judging whether the total power supply demand of the target sink node in a preset time period is less than the actual power supply demand of the target sink node at the current time according to the actual power supply demand of the target sink node at the current time and the total power supply demand of the target sink node.
Optionally, the second determining module includes:
a first determining unit, configured to determine, when the total power consumption of the target sink node in a preset time period meets a first preset condition, an electric quantity to be scheduled of the target sink node in the preset time period according to the total power consumption of the target sink node in the preset time period and an actual power consumption of the target sink node at a current time;
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 used for determining the sink nodes to be scheduled for scheduling the electric quantity for the target sink node according to the electric quantity to be scheduled and the distribution area of each sink node in the power supply network;
the second determining subunit is configured to determine whether the to-be-scheduled electric quantity scheduled by the sink node to be scheduled meets a second preset condition;
the first execution subunit is configured to determine to execute an electric quantity scheduling policy for scheduling the electric quantity to be scheduled from the sink node to be scheduled to the target sink node for electric quantity scheduling, when the second preset condition is met;
and the second execution subunit is configured to determine, under the condition that the second preset condition is not satisfied, to prohibit execution of an electric quantity scheduling policy for scheduling the electric quantity to be scheduled from the sink node to be scheduled to the target sink node.
Optionally, the second determining subunit is configured to:
determining the electric quantity loss when the to-be-scheduled power quantity is scheduled for the target sink node from the to-be-scheduled sink node according to the areas of the to-be-scheduled sink node and the target sink node;
and judging whether the power loss is smaller than a preset threshold value.
Optionally, the apparatus further comprises:
the second acquisition module is used for acquiring flow data, telephone traffic data and RRC connection number corresponding to the AAU equipment in a historical time period;
a third determining module, configured to determine, according to the traffic data, and the RRC connection number, required power consumption of the AAU device within a preset time period;
and the fourth determining module is used for determining the power supply quantity required by the multiple AAU devices corresponding to the aggregation nodes 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 a plurality of AAU devices are hung below the BBU devices, and the apparatus further includes:
and the networking module is used for constructing power supply networking by taking power supply circuits of a plurality of BBU (base band unit) devices corresponding to a plurality of aggregation nodes contained in the target area as aggregation trunks and taking power supply circuits where a plurality of AAU (architecture automation) devices hung below each BBU device as aggregation branches.
As can be seen from the above technical solutions provided by the embodiments of the present invention, in the embodiments of the present invention, power supply amounts required by multiple AAU devices corresponding to a target sink node in a power supply networking in a preset time period are obtained, a total required power supply amount of the target sink node in the preset time period is determined according to the power supply amounts required by the multiple AAU devices, whether the total required power supply amount of the target sink node in the preset time period meets a first preset condition is determined, an electric quantity scheduling policy for performing electric quantity scheduling on the target sink node is determined when the total required power supply amount of the target sink node in the preset time period meets the first preset condition, and then, the electric quantity scheduling is performed on 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 large power consumption and cannot guarantee the backup 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 is not repeated here to avoid repetition.
It should be noted that the electric quantity scheduling apparatus provided in the embodiment of the present invention and the electric quantity scheduling method provided in the embodiment of the present invention are based on the same inventive concept, and therefore specific implementation of the embodiment may refer to implementation of the electric quantity scheduling method, and repeated details are not described herein.
Based on the same technical concept, an embodiment of the present invention further provides an electronic device, where the electronic device is configured to execute the foregoing power scheduling method, fig. 8 is a schematic structural diagram of an electronic device implementing various embodiments of the present invention, and as shown in fig. 8, the electronic device may generate a relatively large difference 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 stored applications or data. Wherein the memory 802 may be a transient storage or a persistent storage. The application program stored in memory 802 may include one or more modules (not shown), each of which may include a series of computer-executable instructions for the electronic device. Still further, the processor 801 may be configured to communicate with the memory 802 to execute a series of computer-executable instructions in the memory 802 on the 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.
Specifically, 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 mutual communication through a bus; the memory is used for storing a computer program; the processor is used for executing the program stored in the memory and realizing the following method steps:
acquiring power supply amount required by a plurality of AAU devices corresponding to target aggregation nodes in a power supply network within a preset time period;
determining the total power supply demand of the target sink node in a preset time period according to the power supply demand of the AAU equipment;
judging whether the total power supply demand of the target sink node in a preset time period meets a first preset condition;
under the condition that the total power supply demand of the target sink node in a preset time period meets the first preset condition, determining an electric quantity scheduling strategy for scheduling the electric quantity for the target sink node;
and carrying out electric quantity scheduling on the target sink node according to the electric quantity scheduling strategy.
An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, and when executed by a processor, the computer program implements the following method steps:
acquiring power supply amount required by a plurality of AAU devices corresponding to target aggregation nodes in a power supply network within a preset time period;
determining the total power supply demand of the target sink node in a preset time period according to the power supply demand of the AAU equipment;
judging whether the total power supply demand of the target sink node in a preset time period meets a first preset condition;
under the condition that the total power supply demand of the target sink node in a preset time period meets the first preset condition, determining an electric quantity scheduling strategy for scheduling the electric quantity for the target sink node;
and carrying out electric quantity scheduling on the target sink node according to the electric quantity scheduling strategy.
As can be seen from the above technical solutions provided by the embodiments of the present invention, in the embodiments of the present invention, power supply amounts required by multiple AAU devices corresponding to a target sink node in a power supply networking in a preset time period are obtained, a total required power supply amount of the target sink node in the preset time period is determined according to the power supply amounts required by the multiple AAU devices, whether the total required power supply amount of the target sink node in the preset time period meets a first preset condition is determined, an electric quantity scheduling policy for performing electric quantity scheduling on the target sink node is determined when the total required power supply amount of the target sink node in the preset time period meets the first preset condition, and then, the electric quantity scheduling is performed on 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 large power consumption and cannot guarantee the backup power supply of the AAU-level equipment.
As will be appreciated by one skilled in the art, 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 a typical configuration, an electronic device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
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 computer storage media 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 that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units designed to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described in this disclosure may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described in this disclosure. 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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, 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 above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for scheduling power, the method comprising:
acquiring power supply amount required by a plurality of AAU devices corresponding to target aggregation nodes in a power supply network within a preset time period;
determining the total power supply demand of the target sink node in a preset time period according to the power supply demand of the AAU equipment;
judging whether the total power supply demand of the target sink node in a preset time period meets a first preset condition;
under the condition that the total power supply demand of the target sink node in a preset time period meets the first preset condition, determining an electric quantity scheduling strategy for scheduling the electric quantity for the target sink node;
and carrying out electric quantity scheduling on the target sink node according to the electric quantity scheduling strategy.
2. The method according to claim 1, wherein the determining whether the total power demand of the target sink node in a preset time period satisfies a first preset condition comprises:
acquiring the actual power supply amount of the target sink node at the current moment;
and judging whether the total power supply demand of the target sink node in a preset time period is less than the actual power supply demand of the target sink node at the current time according to the actual power supply demand of the target sink node at the current time and the total power supply demand of the target sink node.
3. The method according to claim 1, wherein the determining, in the case that the total required power supply amount of the target sink node in a preset time period satisfies a first preset condition, a power amount scheduling policy for scheduling power amounts for the target sink node comprises:
under the condition that the total power supply demand 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 power supply demand of the target sink node in the preset time period and the actual power supply quantity at the current moment;
and determining an electric quantity scheduling strategy for scheduling the electric quantity for the target sink node according to the electric quantity to be scheduled.
4. The method according to claim 3, wherein the determining the power scheduling policy for scheduling power for the target sink node according to the power to be scheduled comprises:
determining the sink nodes to be scheduled for scheduling the electric quantity for the target sink nodes according to the electric quantity to be scheduled and the distribution area of each sink node in the power supply network;
judging whether the electric quantity to be scheduled dispatched from the sink node to be dispatched meets a second preset condition or not;
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 forbid 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 for electric quantity scheduling.
5. The method according to claim 4, wherein the determining whether the amount of power to be scheduled from the sink node to be scheduled satisfies a second preset condition includes:
determining the electric quantity loss when the to-be-scheduled power quantity is scheduled for the target sink node from the to-be-scheduled sink node according to the areas of the to-be-scheduled sink node and the target sink node;
and judging whether the power loss is smaller than a preset threshold value.
6. The method according to claim 1, wherein before the obtaining of the power supply amount required by the multiple AAU devices corresponding to the target aggregation node in the power supply networking in the preset time period, the method further comprises:
acquiring flow data, telephone traffic data and RRC connection number corresponding to the AAU equipment in a historical time period;
determining the required power consumption of the AAU equipment within a preset time period according to the flow data, the telephone traffic data and the RRC connection number;
and determining the required power supply amount of a plurality of AAU devices corresponding to each aggregation 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.
7. The method of claim 1, wherein the target aggregation node comprises a BBU pool, wherein the BBU pool comprises a plurality of BBU devices, and wherein a plurality of AAU devices are suspended from the BBU devices;
the method further comprises the following steps:
and constructing a power supply network by taking power supply circuits of a plurality of BBU (base band unit) devices corresponding to a plurality of aggregation nodes contained in a target area as aggregation backbones and taking power supply circuits of a plurality of AAU (architecture automation) devices hung under each BBU device as aggregation branches.
8. An apparatus for scheduling power, the apparatus comprising:
the first acquisition module is used for acquiring the power supply quantity required by a plurality of AAU devices corresponding to the target sink nodes in the power supply networking in a preset time period;
the first determining module is used for determining the total power supply demand of the target sink node in a preset time period according to the power supply demand of the AAU equipment;
the judging module is used for judging whether the total power supply demand of the target sink node in a preset time period meets a first preset condition;
a second determining module, configured to determine an electric quantity scheduling policy for performing electric quantity scheduling on the target sink node when the total required power supply quantity of the target sink node in a preset time period does not meet the first preset condition;
and the electric quantity scheduling module is used for scheduling the electric quantity for the target sink node according to the electric quantity scheduling strategy.
9. An electronic device comprising a processor, a communication interface, a memory, and a communication bus; the processor, the communication interface and the memory complete mutual communication through a bus; the memory is used for storing a computer program; the processor is used for executing the program stored in the memory to realize the steps of the power scheduling method according to any one of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the method steps of the power scheduling method according to any one of claims 1 to 7.
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