CN117135734B - Base station energy saving method and device based on thermodynamic diagram and monitoring real-time population quantity - Google Patents
Base station energy saving method and device based on thermodynamic diagram and monitoring real-time population quantity Download PDFInfo
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- 238000004891 communication Methods 0.000 abstract description 7
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
- H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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
Abstract
The application provides a base station energy saving method and device based on thermodynamic diagrams and monitoring of real-time population numbers, and belongs to the technical field of communication. The method comprises the following steps: the cloud server obtains a population thermodynamic diagram and monitors real-time population quantity from the base station, wherein the population thermodynamic diagram and the real-time population quantity comprise online equipment quantity, online equipment usage quantity and predicted equipment usage quantity; the cloud server determines irrelevant base stations and/or irrelevant sectors according to the population thermodynamic diagram, the monitoring real-time population quantity, the regional interest points and the specific regions; the cloud server generates an energy-saving control instruction according to the irrelevant base station and/or the irrelevant sector; and the cloud server sends the energy-saving control instruction to the base station, and the base station closes the corresponding irrelevant base station and/or irrelevant sector according to the energy-saving control instruction, so that the energy-saving effect of the base station is improved, and the cost is reduced.
Description
Technical Field
The application relates to the technical field of communication, in particular to a base station energy saving method and device based on thermodynamic diagrams and monitoring of real-time population numbers.
Background
With the rapid development of communication technology, 5G base stations are laid out nationwide, and because the distance between the 5G base stations is 500-600 meters, the distribution density is improved by many times compared with that of 4G base stations, and the reduction of the energy consumption of the base stations is a problem to be solved urgently by engineers. In the prior art, a software control scheme, a time control scheme, a peak clipping and valley filling energy storage scheme and a photovoltaic energy storage scheme are generally adopted to reduce the energy consumption of a base station, but the problems of poor energy saving effect and high construction cost of the schemes exist.
Disclosure of Invention
In order to solve the technical problems, the application provides a base station energy saving method and device based on thermodynamic diagrams and monitoring of real-time population numbers.
In a first aspect, the present application provides a base station energy saving method based on thermodynamic diagrams and monitoring real-time population, applied to a cloud server, the method comprising:
the cloud server obtains a population thermodynamic diagram and monitors real-time population quantity from the base station, wherein the population thermodynamic diagram and the real-time population quantity comprise online equipment quantity, online equipment usage quantity and predicted equipment usage quantity;
the cloud server determines irrelevant base stations and/or irrelevant sectors according to the population thermodynamic diagram, the monitoring real-time population quantity, the regional interest points and the specific regions;
the cloud server generates an energy-saving control instruction according to the irrelevant base station and/or the irrelevant sector;
and the cloud server sends the energy-saving control instruction to the base station, so that the base station closes the corresponding irrelevant base station and/or irrelevant sectors according to the energy-saving control instruction.
In an embodiment, the cloud server determining the irrelevant base station and/or the irrelevant sector according to the population thermodynamic diagram and the specific area comprises:
the cloud server determines a first candidate base station and/or a first candidate sector, of which the online equipment quantity is smaller than a first preset online equipment quantity threshold value;
the cloud server determines base stations and/or sectors which do not belong to the specific area in the first candidate base stations and/or the first candidate sectors as the irrelevant base stations and/or the irrelevant sectors.
In an embodiment, the cloud server determining the irrelevant base station and/or the irrelevant sectors according to the population thermodynamic diagram and monitoring real-time population quantity comprises:
the cloud server determines a second candidate base station and/or a second candidate sector, the online equipment quantity of which is smaller than a second preset online equipment quantity threshold value;
the cloud server determines the base station and/or the sector, of which the online equipment usage amount is smaller than a preset online equipment usage amount threshold value, in the second candidate base station and/or the second candidate sector as the irrelevant base station and/or the irrelevant sector; or,
and the cloud server acquires the predicted equipment usage amount in the second candidate base station and/or the second candidate sector, and determines the base station or the sector, of which the predicted equipment usage amount in the second candidate base station and/or the second candidate sector is smaller than a preset closing threshold value, as the irrelevant base station and/or the irrelevant sector.
In an embodiment, the cloud server determines the irrelevant base station and/or the irrelevant sector according to the population thermodynamic diagram and monitoring real-time population quantity and the regional interest points, including:
the cloud server determines the predicted equipment usage amount of a third candidate base station and/or a third candidate sector in the regional interest point according to the population thermodynamic diagram;
and the cloud server determines the base station or the sector, of which the predicted equipment usage amount is smaller than a preset closing threshold value, in the third candidate base station and/or the third candidate sector as the irrelevant base station and/or the irrelevant sector.
In an embodiment, the cloud server generates a power saving control instruction according to the irrelevant base station and/or the irrelevant sector, including:
and generating the energy-saving control instruction according to the peak clipping and valley filling energy-saving rule, the irrelevant base station and/or the irrelevant sector.
In one embodiment, the base station includes an actuator, and the method includes:
and the base station controls the execution mechanism to close the corresponding irrelevant base station and/or irrelevant sectors according to the energy-saving control instruction.
In one embodiment, the actuator comprises a solid state switch and a recloser; the base station controls the execution mechanism to close the corresponding irrelevant base station and/or irrelevant sector according to the energy-saving control instruction, and the method comprises the following steps:
the base station controls the reclosing to close the corresponding irrelevant base station according to the energy-saving control instruction; and/or the number of the groups of groups,
and the base station controls the solid state switch to close the corresponding irrelevant sectors according to the energy-saving control instruction.
In a second aspect, the present application provides a base station energy saving apparatus for thermodynamic diagram based and real-time population monitoring, the apparatus comprising:
an acquisition module for acquiring a population thermodynamic diagram and monitoring a real-time population quantity from a base station, wherein the population thermodynamic diagram and the monitoring of the real-time population quantity comprise an online equipment quantity, an online equipment usage quantity and a predicted equipment usage quantity;
a determining module, configured to determine an irrelevant base station and/or an irrelevant sector according to the population thermodynamic diagram, the monitored real-time population quantity, the regional interest point and the specific region;
the generation module is used for generating energy-saving control instructions according to the irrelevant base stations and/or the irrelevant sectors;
and the sending module is used for sending the energy-saving control instruction to the base station so that the base station closes the corresponding irrelevant base station and/or irrelevant sectors according to the energy-saving control instruction.
In an embodiment, the determining module is further configured to determine a first candidate base station and/or a first candidate sector whose online device amount is less than a first preset online device amount threshold;
and determining the base stations and/or sectors which do not belong to the specific area in the first candidate base station and/or the first candidate sector as the irrelevant base stations and/or the irrelevant sectors.
In a third aspect, the present application provides a computer readable storage medium storing a computer program which, when run on a processor, performs the thermodynamic diagram and real-time population monitoring based base station energy saving method provided in the first aspect.
The base station energy saving method and device based on the thermodynamic diagram and the real-time population quantity are provided, wherein the cloud server acquires the thermodynamic diagram of the population and the real-time population quantity from the base station, and the thermodynamic diagram of the population and the real-time population quantity comprise the online equipment quantity, the online equipment usage quantity and the predicted equipment usage quantity; the cloud server determines irrelevant base stations and/or irrelevant sectors according to the population thermodynamic diagram, the monitoring real-time population quantity, the regional interest points and the specific regions; the cloud server generates an energy-saving control instruction according to the irrelevant base station and/or the irrelevant sector; and the cloud server sends the energy-saving control instruction to the base station, and the base station closes the corresponding irrelevant base station and/or irrelevant sector according to the energy-saving control instruction, so that the energy-saving effect of the base station is improved, and the cost is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings that are required for the embodiments will be briefly described, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope of protection of the present application. Like elements are numbered alike in the various figures.
FIG. 1 is a schematic flow chart of a base station energy saving method based on thermodynamic diagrams and monitoring real-time population numbers provided by the present application;
fig. 2 shows a connection schematic diagram of a cloud server and a base station provided by the present application;
FIG. 3 is a schematic diagram of an online handset thermodynamic diagram and monitoring real-time population;
FIG. 4 is another flow chart of a base station energy conservation method based on thermodynamic diagrams and monitoring real-time population;
FIG. 5 illustrates another flow diagram of a base station energy conservation method based on thermodynamic diagrams and monitoring real-time population numbers provided herein;
FIG. 6 illustrates another flow diagram of a base station energy conservation method based on thermodynamic diagrams and monitoring real-time population numbers provided herein;
FIG. 7 is a schematic diagram illustrating a distribution of closed base stations and closed sectors provided herein;
fig. 8 shows a schematic diagram of a base station energy saving device based on thermodynamic diagrams and monitoring real-time population.
Icon: 100-cloud server, 200-base station, 800-base station energy-saving device based on thermodynamic diagram and monitoring real-time population quantity, 801-acquisition module, 802-determination module, 803-generation module and 804-transmission module.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application.
The components of the present application, as generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
In the following, the terms "comprises", "comprising", "having" and their cognate terms may be used in various embodiments of the present application are intended only to refer to a particular feature, number, step, operation, element, component, or combination of the foregoing, and should not be interpreted as first excluding the existence of or increasing the likelihood of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of this application belong. The terms (such as those defined in commonly used dictionaries) will be interpreted as having a meaning that is identical to the meaning of the context in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in connection with the various embodiments.
The scheme of base station energy saving in the prior art is as follows: 1. the software control scheme is as follows: and according to the online number of the base station mobile phones, closing signals sent to the transmitting antennas by each sector of the remote radio unit (Remote Radio Unit, RRU) and the active antenna unit (Active Antenna Unit, AAU) to reduce the transmitting power of the RRU and the AAU, thereby realizing energy conservation. 2. Time control scheme: the base station is closed by using the sleeping time of people, so that energy conservation is realized to a large extent. 3. The peak clipping and valley filling energy storage scheme is as follows: and the battery is charged to store energy when the electricity charge is low and is used for supplying power to the base station when the electricity charge is high by utilizing the electricity charge time interval spread, so that energy conservation is realized. 4. The photovoltaic energy storage scheme is only used in a mountain area without electricity due to the large occupied area and high cost of photovoltaic construction, and is not suitable for cities. The problems of poor energy-saving effect and high construction cost exist in the schemes.
Example 1
The application provides a base station energy saving method based on thermodynamic diagrams and monitoring of real-time population numbers, which is applied to a cloud server.
Referring to fig. 1, the base station energy saving method based on thermodynamic diagrams and monitoring real-time population numbers includes steps S101-S104. The following is a detailed description.
In step S101, the cloud server acquires a population thermodynamic diagram from the base station and monitors the real-time population quantity.
In this embodiment, the population thermodynamic diagram and monitoring the real-time population quantity includes online device quantity, online device usage, and predicted device usage. The demographic thermodynamic diagram includes the number of devices accessing the base station, including, for example, the amount of online devices accessing the base station, the amount of online devices usage, and the predicted amount of device usage. Monitoring the real-time population includes the number of devices that access the WiFi network, including, for example, the number of online devices that access the WiFi network, the number of online devices used, and the predicted number of devices used.
The online device amount is an online amount of the mobile terminal, for example, an online amount of a mobile phone, the online device amount is an amount of devices accessing to a network, the online device amount includes an online device usage amount and an online device unused amount, and the online device usage amount is: the mobile terminal is online and is currently in use, e.g., the handset is online and the ongoing calls are counted in the online device usage. The unused amount of the online equipment is as follows: the mobile terminal is online and is not currently used, for example, the mobile phone is online (not powered off), and network functions are not used, and the mobile terminal is counted in the unused amount of the online equipment. The base station may generate a predicted device usage at a future time based on the historical device usage. For example, the base station may predict the predicted device usage for a specific time and a specific period in the future based on the historical device usage of the base station for the past week. For another example, based on historical data from a previous period of time, the software algorithm self-revises the learning to predict that there will be an increase in online usage in a given area, a given period of time, where the base station cannot be shut down. If it is predicted that there will be a continuous decrease in online usage in a given area for a given period of time, then the base station or sector of the given area may be adaptively turned off.
It should be noted that, the distance between the 4G base stations is several kilometers, and the distance between the 5G base stations is about 500 meters, and compared with the electricity fee consumption of the 4G base stations, the electricity fee amount of the 5G base stations in the prior art is larger. Therefore, a reasonable irrelevant base station and an irrelevant sector are required to be selected for the 5G base station, so that energy conservation is realized.
Referring to fig. 2, the cloud server 100 and the base station 200 are in communication connection, the base station 200 generates a population thermodynamic diagram and monitors a real-time population quantity according to population thermodynamic data, and transmits the population thermodynamic diagram and the monitors a real-time population quantity to the cloud server 100, and the cloud server 100 receives the population thermodynamic diagram and the monitors a real-time population quantity transmitted by the base station 200. Demographic data is used to create a thermodynamic diagram of the population and to monitor a data set of real-time population numbers, and typically contains demographic information about different geographic areas, such as population numbers, population densities, demographics, line device volumes, line device usage and predicted device usage. These data can be used to make a thermodynamic diagram of the population to better understand the population distribution and trends across different regions.
In this embodiment, the population thermodynamic diagram may include an online handset thermodynamic diagram, and referring to fig. 3, the online handset thermodynamic diagram shows base stations corresponding to each location area, and the online handset quantity near each base station.
In step S102, the cloud server determines an irrelevant base station and/or an irrelevant sector according to the population thermodynamic diagram, the monitored real-time population quantity, the regional interest point and the specific region.
In this embodiment, regional points of interest generally refer to point of interest (Points of Interest) data within a particular geographic region. Points of interest refer to places of special interest or appeal in a geographic space, which may include public places such as shops, restaurants, parks, attractions, or places such as residences, dormitories, and the like. Regional POI data refers to a collection of data in which the location of these points of interest and related information are recorded within a particular geographic region.
In this embodiment, the specific area is some places where long-term work of the base station, the sector needs to be ensured, for example, a hospital, a police office, a fire department, a hospital, an underground parking lot, a weather office, and the like.
Referring to fig. 4, the cloud server determines the unnecessary base station and/or the unnecessary sector according to the population thermodynamic diagram and monitoring the real-time population quantity and the specific area, including steps S1021-S1022, which will be described below.
In step S1021, the cloud server determines a first candidate base station and/or a first candidate sector whose online device amount is less than a first preset online device amount threshold.
In this embodiment, the first preset online device amount threshold may be set according to empirical data, or may be determined according to an actual energy saving requirement. For example, the first preset online device amount threshold may be set to 50, without limitation.
In step S1022, the cloud server determines, as the irrelevant base station and/or the irrelevant sector, a base station and/or a sector of the first candidate base station and/or the first candidate sector that do not belong to the specific area.
Because the specific area is a place where long-term work of the base station and the sector is required to be ensured, in order to ensure normal communication of the specific area on the premise of energy conservation, the base station and/or the sector in the specific area need to be removed from the first candidate base station and/or the first candidate sector, so as to obtain an irrelevant base station and/or the irrelevant sector.
Referring to fig. 5, the cloud server determines the irrelevant base stations and/or the irrelevant sectors according to the population thermodynamic diagram and monitoring the real-time population quantity, including steps S1023-S1025, which are described below.
In step S1023, the cloud server determines a second candidate base station and/or a second candidate sector whose online device amount is smaller than a second preset online device amount threshold.
In this embodiment, the second preset online device amount threshold may be set according to empirical data, or may be determined according to an actual energy saving requirement. For example, the second preset online device amount threshold may be set to 20, without limitation. The second preset online device amount threshold may be smaller than the first preset online device amount threshold, such that the reference flexibility for the online device amount is relatively large.
In step S1024, the cloud server determines, as the irrelevant base station and/or the irrelevant sector, a base station and/or a sector in which the usage of the online device in the second candidate base station and/or the second candidate sector is less than a preset threshold of usage of the online device.
In this embodiment, the threshold value of the usage amount of the online device may be set according to empirical data, or may be determined according to an actual energy saving requirement. For example, the second preset online device amount threshold may be set to 10, without limitation.
In this way, the comparison of step S1023 and step S1024 is performed, so that the determined irrelevant base station and irrelevant sectors are more accurate, and a better communication effect is ensured while saving energy.
In step S1025, the cloud server obtains the predicted device usage amount in the second candidate base station and/or the second candidate sector, and determines the base station or the sector whose predicted device usage amount in the second candidate base station and/or the second candidate sector is smaller than a preset closing threshold as the irrelevant base station and/or the irrelevant sector.
In this embodiment, the predicted device usage in the second candidate base station and/or the second candidate sector may be obtained based on the population thermodynamic diagram and the predicted device usage in the monitoring of the real-time population quantity. The preset closing threshold may be determined according to historical data, or may be set in a customized manner according to actual situations, for example, the preset closing threshold may be set to 5, which is not limited herein. Therefore, energy-saving control can be performed on the base station or the sector in advance through preset data, and the energy-saving effect is improved.
Referring to fig. 6, the cloud server determines the undesired base station and/or the undesired sector according to the population thermodynamic diagram and monitoring the real-time population quantity and the regional interest point, including steps S1026-S1027, which are described below.
In step S1026, the cloud server determines, according to the population thermodynamic diagram and the monitored real-time population quantity, a predicted device usage amount of the third candidate base station and/or the third candidate sector in the regional interest point.
Because the interest points of the area are places such as shops, restaurants, parks, scenic spots, residences, dormitories and the like, the switch control of the base station or the sector can be performed, and the irrelevant base station and the irrelevant sector can be determined based on the predicted equipment usage. Exemplary, combining the thermodynamic diagram of the population with monitoring the number of real-time populations, determining a third candidate base station and a third candidate sector located within the region of interest, and determining a predicted device usage for each of the third candidate base station and the third candidate sector located within the region of interest.
In step S1027, the cloud server determines, as the irrelevant base station and/or the irrelevant sector, a base station or a sector in which the predicted device usage amount in the third candidate base station and/or the third candidate sector is less than a preset shutdown threshold.
For example, if the predicted device usage amount of the third candidate base station is 4 and the preset shutdown threshold is 5, the third candidate base station whose predicted device usage amount is 4 is determined as the irrelevant base station. If the predicted device usage amount of the third candidate sector is 1, and the preset closing threshold is 6, the third candidate sector with the predicted device usage amount of 1 is determined to be an irrelevant sector.
Step S103, the cloud server generates an energy-saving control instruction according to the irrelevant base station and/or the irrelevant sector.
The energy saving control instruction includes parameter information of irrelevant base stations and irrelevant sectors, and off time. The cloud server 100 transmits an energy saving control instruction to the base station 200.
In the present embodiment, step S103 includes:
and the cloud server generates the energy-saving control instruction according to the peak clipping and valley filling energy-saving rule, the irrelevant base station and/or the irrelevant sector.
In this embodiment, to further improve the energy saving effect, the energy saving control instruction is further generated by combining a peak clipping and valley filling energy saving rule, the irrelevant base station and/or the irrelevant sector, where the energy saving control instruction can control the base station to start battery charging for standby when the electricity charge is low and supply power to the base station when the electricity charge is high based on the peak clipping and valley filling energy saving rule.
Step S104, the cloud server sends the energy-saving control instruction to the base station, so that the base station closes the corresponding irrelevant base station and/or irrelevant sectors according to the energy-saving control instruction.
Referring to fig. 7, the distribution diagram includes a specific area, a closed base station, and a closed sector, where the specific area is a place where communication must be ensured, such as a weather bureau, the closed base station is an irrelevant base station after closing, and the closed sector is an irrelevant sector after closing.
According to the base station energy saving method based on the thermodynamic diagram and the monitoring of the real-time population quantity, a cloud server obtains the thermodynamic diagram of the population and the monitoring of the real-time population quantity from a base station, wherein the thermodynamic diagram of the population and the monitoring of the real-time population quantity comprise online equipment quantity, online equipment usage quantity and predicted equipment usage quantity; the cloud server determines irrelevant base stations and/or irrelevant sectors according to the population thermodynamic diagram, the monitoring real-time population quantity, the regional interest points and the specific regions; the cloud server generates an energy-saving control instruction according to the irrelevant base station and/or the irrelevant sector; the cloud server sends the energy-saving control instruction to the base station, and the base station closes the corresponding irrelevant base station and/or irrelevant sector according to the energy-saving control instruction, so that the energy-saving effect of the base station is improved, and the cost is reduced.
In this embodiment, the base station receives an energy-saving control instruction from the cloud server, and closes the corresponding irrelevant base station and/or irrelevant sectors according to the energy-saving control instruction.
It should be noted that, the 3G, 4G, 5G different frequency bands of the base station have different antennas. The base station comprises 3 antennas, each antenna covers 120 degrees, each sector is independently powered, the number of users in a certain sector is small (i.e. the sectors are irrelevant), the sector can be closed, and the other two sectors still keep working, and the signals are relatively weak. The sector is the minimum control unit, and 1 sector or 2 sectors in 3 sectors of one antenna can be closed, and each sector has an independent switch.
In an embodiment, the base station includes an actuator, and the method further includes:
and the base station controls the execution mechanism to close the corresponding irrelevant base station and/or irrelevant sectors according to the energy-saving control instruction.
The main switch of the base station adopts a mechanical switch, for example, reclosing, and the sector adopts a solid-state switch. The mechanical switch can completely turn off the gate, and has mechanical switching action, and is completely disconnected physically and automatically controlled by the electric structure. Solid state switches, without mechanical action, are not physically fully open. Reclosing may be used for switching in cases where switching is infrequent. And when the switch is more frequent, the switch control can be performed by adopting a solid switch of a sector.
In one embodiment, the actuator comprises a solid state switch and a recloser; the base station controls the execution mechanism to close the corresponding irrelevant base station and/or irrelevant sector according to the energy-saving control instruction, and the method comprises the following steps:
the base station controls the reclosing to close the corresponding irrelevant base station according to the energy-saving control instruction; and/or the number of the groups of groups,
and the base station controls the solid state switch to close the corresponding irrelevant sectors according to the energy-saving control instruction.
In this embodiment, the base station includes a power supply cabinet, where the power supply cabinet includes an energy storage battery, a peak clipping and valley filling solid switch, a reclosing, and a system manager. After the base station is switched on and transmits power, the base station can enter a working state after about 20-30 seconds. The startup preparation needs to be completed based on handshaking signals of the indoor baseband processing units (Building Band Unite, BBU), the online equipment is switched into the base station to enter into operation, and the online equipment needs to be contacted with the adjacent base station, for example, a mobile phone is currently switched into a far base station, but is actually close to the base station which is currently started, the startup base station is communicated with the far base station, and the mobile phone is switched into the base station with a relatively close distance. And determining an irrelevant base station and an irrelevant sector by the cloud server, and accurately closing the irrelevant base station and the irrelevant sector by the base station according to the energy-saving control instruction. Peak clipping and valley filling solid switch, combined with peak clipping and valley filling electric charge standard, closing the base station or sector reasonably, and improving energy saving effect. The system manager, i.e., the battery manager, is used to specifically manage the power supply, e.g., manage the charge and discharge of the battery, base stations or sectors based on peak clipping and valley filling switches, determine those base stations, sectors that can be turned off based on energy saving control instructions, etc.
According to the base station energy-saving method based on thermodynamic diagram and monitoring the real-time population quantity, the base station receives the energy-saving control instruction from the cloud server, and closes the corresponding irrelevant base station and/or irrelevant sector according to the energy-saving control instruction, so that the energy-saving effect of the base station is improved, and the cost is reduced.
Example 2
In addition, the application provides a base station energy-saving device based on thermodynamic diagrams and monitoring of the real-time population quantity.
As shown in fig. 8, a base station energy saving device 800 for monitoring the population quantity in real time based on thermodynamic diagrams includes:
an obtaining module 801, configured to obtain, from a base station, a thermodynamic diagram of a population and monitor a real-time population quantity, where the thermodynamic diagram of the population and monitor the real-time population quantity include an online device quantity, an online device usage quantity, and a predicted device usage quantity;
a determining module 802 configured to determine an irrelevant base station and/or an irrelevant sector based on the population thermodynamic diagram, the monitored real-time population quantity, the regional interest points, and the specific region;
a generating module 803, configured to generate a power saving control instruction according to the unrelated base station and/or the unrelated sector;
and the sending module 804 is configured to send the energy-saving control instruction to the base station, so that the base station closes the corresponding irrelevant base station and/or irrelevant sector according to the energy-saving control instruction.
In an embodiment, the determining module 802 is further configured to determine a first candidate base station and/or a first candidate sector whose online device amount is less than a first preset online device amount threshold;
and determining the base stations and/or sectors which do not belong to the specific area in the first candidate base station and/or the first candidate sector as the irrelevant base stations and/or the irrelevant sectors.
In an embodiment, the determining module 802 is further configured to determine a second candidate base station and/or a second candidate sector whose online device amount is less than a second preset online device amount threshold;
determining base stations and/or sectors, of which the online equipment usage amount is smaller than a preset online equipment usage amount threshold, in the second candidate base stations and/or the second candidate sectors as the irrelevant base stations and/or the irrelevant sectors; or,
and acquiring the predicted equipment usage amount in the second candidate base station and/or the second candidate sector, and determining the base station or the sector, of which the predicted equipment usage amount in the second candidate base station and/or the second candidate sector is smaller than a preset closing threshold value, as the irrelevant base station and/or the irrelevant sector.
In an embodiment, the determining module 802 is further configured to determine, according to the thermodynamic diagram of the population and the monitored real-time population quantity, a predicted device usage amount of the third candidate base station and/or the third candidate sector in the area interest point;
and determining the base station or the sector, of which the predicted equipment usage amount is smaller than a preset closing threshold value, in the third candidate base station and/or the third candidate sector as the irrelevant base station and/or the irrelevant sector.
In an embodiment, the determining module 802 is further configured to generate the energy saving control instruction according to a peak clipping and valley filling energy saving rule, the irrelevant base station and/or the irrelevant sector.
The base station energy saving device 800 based on thermodynamic diagrams and monitoring real-time population numbers provided in this embodiment can implement the base station energy saving method based on thermodynamic diagrams and monitoring real-time population numbers provided in embodiment 1, and is not repeated here.
The base station energy-saving device based on the thermodynamic diagram and monitoring the real-time population quantity, which is provided by the embodiment, acquires the thermodynamic diagram of the population from the base station, wherein the thermodynamic diagram of the population and the monitoring of the real-time population quantity comprise the online equipment quantity, the online equipment usage quantity and the predicted equipment usage quantity; determining irrelevant base stations and/or irrelevant sectors according to the population thermodynamic diagram, the monitoring real-time population quantity, the regional interest points and the specific regions; generating energy-saving control instructions according to the irrelevant base stations and/or the irrelevant sectors; and the base station closes the corresponding irrelevant base station and/or irrelevant sectors according to the energy-saving control instruction, so that the energy-saving effect of the base station is improved, and the cost is reduced.
Example 3
The present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the thermodynamic diagram and real-time population monitoring based base station energy saving method provided by embodiment 1.
In the present embodiment, the computer readable storage medium may be a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, an optical disk, or the like.
The computer readable storage medium provided in this embodiment may implement the base station energy saving method based on thermodynamic diagrams and monitoring the real-time population provided in embodiment 1 and/or embodiment 2, and is not described herein again for avoiding repetition.
It should 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 terminal 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 terminal. 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 terminal comprising the element.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), including several instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method described in the embodiments of the present application.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are also within the protection of the present application.
Claims (6)
1. A base station energy conservation method based on thermodynamic diagrams and monitoring real-time population numbers, the method comprising:
the cloud server obtains a population thermodynamic diagram and monitors real-time population quantity from the base station, wherein the population thermodynamic diagram and the real-time population quantity comprise online equipment quantity, online equipment usage quantity and predicted equipment usage quantity; the population thermodynamic diagram comprises the number of devices accessed to a base station, the monitoring real-time population number comprises the number of devices accessed to a WiFi network, the online device is the online device of a mobile terminal, and the online device is the device accessed to the network and comprises the unused amount of the online device and the used amount of the online device;
the cloud server determines irrelevant base stations and/or irrelevant sectors according to the population thermodynamic diagram, the monitoring real-time population quantity, the regional interest points and the specific regions;
the cloud server generates an energy-saving control instruction according to the irrelevant base station and/or the irrelevant sector;
the cloud server sends the energy-saving control instruction to the base station, so that the base station closes a corresponding irrelevant base station and/or irrelevant sector according to the energy-saving control instruction;
wherein the cloud server determines the irrelevant base station and/or the irrelevant sector according to the population thermodynamic diagram and the specific area, comprising:
the cloud server determines a first candidate base station and/or a first candidate sector, of which the online equipment quantity is smaller than a first preset online equipment quantity threshold value; the cloud server determines base stations and/or sectors which do not belong to the specific area in the first candidate base stations and/or the first candidate sectors as the irrelevant base stations and/or the irrelevant sectors;
or,
the cloud server determining the irrelevant base station and/or the irrelevant sectors according to the population thermodynamic diagram and monitoring real-time population quantity, comprising:
the cloud server determines a second candidate base station and/or a second candidate sector, the online equipment quantity of which is smaller than a second preset online equipment quantity threshold value; the cloud server determines the base station and/or the sector, of which the online equipment usage amount is smaller than a preset online equipment usage amount threshold value, in the second candidate base station and/or the second candidate sector as the irrelevant base station and/or the irrelevant sector; or the cloud server acquires the predicted equipment usage amount in the second candidate base station and/or the second candidate sector, and determines the base station or the sector, of which the predicted equipment usage amount in the second candidate base station and/or the second candidate sector is smaller than a preset closing threshold, as the irrelevant base station and/or the irrelevant sector;
or, the cloud server determines the irrelevant base station and/or the irrelevant sector according to the population thermodynamic diagram and monitoring real-time population quantity and the regional interest points, including:
the cloud server determines the predicted equipment usage amount of a third candidate base station and/or a third candidate sector in the regional interest point according to the population thermodynamic diagram; and the cloud server determines the base station or the sector, of which the predicted equipment usage amount is smaller than a preset closing threshold value, in the third candidate base station and/or the third candidate sector as the irrelevant base station and/or the irrelevant sector.
2. The method of claim 1, wherein the cloud server generating energy saving control instructions from the unrelated base station and/or the unrelated sector comprises:
and the cloud server generates the energy-saving control instruction according to the peak clipping and valley filling energy-saving rule, the irrelevant base station and/or the irrelevant sector.
3. The method of claim 1, wherein the base station includes an actuator, the method further comprising:
and the base station controls the execution mechanism to close the corresponding irrelevant base station and/or irrelevant sectors according to the energy-saving control instruction.
4. A method according to claim 3, wherein the actuator comprises a solid state switch and recloser; the base station controls the execution mechanism to close the corresponding irrelevant base station and/or irrelevant sector according to the energy-saving control instruction, and the method comprises the following steps:
the base station controls the reclosing to close the corresponding irrelevant base station according to the energy-saving control instruction; and/or the number of the groups of groups,
and the base station controls the solid state switch to close the corresponding irrelevant sectors according to the energy-saving control instruction.
5. A base station energy saving device based on thermodynamic diagrams and monitoring real-time population numbers, the device comprising:
an acquisition module for acquiring a population thermodynamic diagram and monitoring a real-time population quantity from a base station, wherein the population thermodynamic diagram and the monitoring of the real-time population quantity comprise an online equipment quantity, an online equipment usage quantity and a predicted equipment usage quantity; the population thermodynamic diagram comprises the number of devices accessed to a base station, the monitoring real-time population number comprises the number of devices accessed to a WiFi network, the online device is the online device of a mobile terminal, and the online device is the device accessed to the network and comprises the unused amount of the online device and the used amount of the online device;
a determining module, configured to determine an irrelevant base station and/or an irrelevant sector according to the population thermodynamic diagram, the monitored real-time population quantity, the regional interest point and the specific region;
the generation module is used for generating energy-saving control instructions according to the irrelevant base stations and/or the irrelevant sectors;
a sending module, configured to send the energy-saving control instruction to the base station, so that the base station closes a corresponding irrelevant base station and/or irrelevant sector according to the energy-saving control instruction;
or the determining module is used for determining a first candidate base station and/or a first candidate sector, wherein the online equipment quantity of the first candidate base station and/or the first candidate sector is smaller than a first preset online equipment quantity threshold value; determining base stations and/or sectors which do not belong to the specific area in the first candidate base station and/or the first candidate sector as the irrelevant base stations and/or the irrelevant sectors;
or alternatively;
the determining module is used for determining a second candidate base station and/or a second candidate sector, wherein the online equipment quantity of the second candidate base station and/or the second candidate sector is smaller than a second preset online equipment quantity threshold value; determining base stations and/or sectors, of which the online equipment usage amount is smaller than a preset online equipment usage amount threshold, in the second candidate base stations and/or the second candidate sectors as the irrelevant base stations and/or the irrelevant sectors; or, obtaining the predicted equipment usage amount in the second candidate base station and/or the second candidate sector, and determining the base station or the sector with the predicted equipment usage amount in the second candidate base station and/or the second candidate sector smaller than a preset closing threshold as the irrelevant base station and/or the irrelevant sector;
or alternatively;
the determining module is used for determining the predicted equipment usage amount of the third candidate base station and/or the third candidate sector in the region interest point according to the population thermodynamic diagram and the monitored real-time population quantity; and determining the base station or the sector, of which the predicted equipment usage amount is smaller than a preset closing threshold value, in the third candidate base station and/or the third candidate sector as the irrelevant base station and/or the irrelevant sector.
6. A computer readable storage medium, characterized in that it stores a computer program which, when run on a processor, performs the thermodynamic diagram-based and real-time population monitoring base station energy saving method of any one of claims 1 to 4.
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