Equipment performance calculation device

Abstract

The present invention accounts for the environment at the location of a base station and calculates the performance of equipment provided to the base station.　An equipment performance calculation device 10 is for calculating the performance of at least any of a renewable energy-based power generation device and storage cell with regard to a base station comprising the power generation device and storage cell. The equipment performance calculation device 10 comprises: a calculation information acquisition unit 11 for acquiring power-consumption amount information regarding the amount of power-consumption of a base station, power-generation amount information indicating the amount of power generated by the power generation device, and snow removal information regarding snow removal with respect to the power generation device; and a performance calculation unit 12 for calculating performance on the basis of the power-consumption amount information, the power-generation amount information, and the snow removal information acquired by the calculation information acquisition unit 11.

Description

[Technical Field]

[0001] The present invention relates to an equipment performance calculation device for calculating the performance of equipment installed in a base station. [Background technology]

[0002] Conventionally, base stations used in mobile communication systems are equipped with solar power generation devices and storage batteries (see, for example, Patent Document 1). By operating the base station with electricity generated by renewable energy power generation devices such as solar power generation devices and stored in storage batteries, the base station can be made a fully self-sufficient base station that does not rely on commercial power. [Prior art documents] [Patent Documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2002-330095 [Overview of the project] [Problems that the invention aims to solve]

[0004] The performance requirements for the power generation equipment and batteries installed at base stations must be determined with due consideration to the environment of the base station's location. However, no method has been proposed to date that adequately considers the environment in determining these requirements.

[0005] One embodiment of the present invention has been made in view of the above, and aims to provide an equipment performance calculation device that can calculate the performance of equipment installed at a base station, taking into account the environment of the base station's location. [Means for solving the problem]

[0006] To achieve the above objective, an equipment performance calculation device according to one embodiment of the present invention is a performance calculation device for calculating the performance of at least one of a power generation device and a battery for a base station equipped with a power generation device and a battery using renewable energy, and comprises: a calculation information acquisition unit that acquires power consumption information relating to the power consumption of the base station, power generation information indicating the amount of power generated by the power generation device, and snow removal information relating to snow removal for the power generation device; and a performance calculation unit that calculates the performance based on the power consumption information, power generation information and snow removal information acquired by the calculation information acquisition unit.

[0007] In the equipment performance calculation device according to one embodiment of the present invention, performance is calculated based on power consumption information, power generation information, and snow removal information. Therefore, according to the equipment performance calculation device according to one embodiment of the present invention, the performance of equipment installed at a base station can be calculated taking into account the environment of the base station's location. In particular, since snow removal information is used in the performance calculation, the performance of the equipment can be calculated taking into account snow removal according to the environment of the base station's location. [Effects of the Invention]

[0008] According to one embodiment of the present invention, the performance of the equipment installed at a base station can be calculated taking into account the environment of the base station's location. [Brief explanation of the drawing]

[0009] [Figure 1] This figure shows the configuration of an equipment performance calculation device according to an embodiment of the present invention. [Figure 2] This figure shows examples of the calculated performance of power generation equipment and storage batteries. [Figure 3] This table shows examples of information used to estimate power generation. [Figure 4] This flowchart shows the process performed by the equipment performance calculation device according to an embodiment of the present invention. [Figure 5] This figure shows the hardware configuration of the equipment performance calculation device according to an embodiment of the present invention. [Modes for carrying out the invention]

[0010] The following describes in detail an embodiment of the equipment performance calculation device according to the present invention, along with the drawings. In the description of the drawings, the same elements are denoted by the same reference numerals, and redundant explanations are omitted.

[0011] Figure 1 shows the equipment performance calculation device 10 according to this embodiment. The equipment performance calculation device 10 is a device (system) that calculates the performance of at least one of the equipment (devices) installed in a base station, namely a power generation device and a storage battery. A base station is a component of a mobile communication system (mobile communication network) and transmits and receives radio signals to and from mobile communication terminals. In other words, a base station provides mobile communication terminals with radio communication functions related to the mobile communication system.

[0012] In this embodiment, the base station equipped with the equipment for calculating performance is permanently installed at a predetermined geographical location. The power generation device and battery installed at the base station are equipment for supplying power to the base station for its operation. The power generation device is a device that generates electricity using renewable energy. For example, the power generation device is a solar panel (photovoltaic panel), which is a photovoltaic power generation device that generates electricity using sunlight. However, the power generation device may be a device that generates electricity using renewable energy other than sunlight. The power generation device supplies the electricity obtained from the power generation to the battery. The power generation device may also be capable of directly supplying the electricity obtained from the power generation to the base station. A base station equipped with such a power generation device is also called an environmentally friendly green base station.

[0013] A battery is a device that receives and stores electricity generated by a power generator, and also supplies the stored electricity to a base station. The base station, power generator, and battery may be conventional devices.

[0014] A base station equipped with such a power generation device and a storage battery can be a completely self - sufficient base station that does not rely on commercial power. In this embodiment, the base station where the equipment for which performance is calculated is provided may be a completely self - sufficient base station. By making the base station a completely self - sufficient base station, in an area where commercial power supply is not ensured, radio waves can be secured, that is, mobile communication can be enabled. As a result, emergency communication in the area or the utilization of IoT (Internet of Things) terminals becomes possible.

[0015] In a completely self - sufficient base station, the power for operation is supplied only from the power generation device and the storage battery. Therefore, the performance of the power generation device and the storage battery needs to be such that the power supply to the completely self - sufficient base station does not stop. The equipment performance calculation device 10 calculates the performance of at least one of the power generation device and the storage battery from such a perspective. Note that the base station does not necessarily have to be a completely self - sufficient base station, and as long as it is equipped with a power generation device and a storage battery (i.e., a green base station), it may use commercial power.

[0016] The base station does not necessarily need to be actually installed at the time when the equipment performance calculation device 10 calculates the performance of at least one of the power generation device and the storage battery, and it may be one to be installed in the future. For example, the result of the performance calculation of the equipment performance calculation device 10 may be used in the plan for installing a new completely self - sufficient base station.

[0017] In this embodiment, the equipment performance calculation device 10 calculates the performance of both the power generation device and the storage battery as described later. FIG. 2 shows an example of the performance of the power generation device and the storage battery calculated. The calculated performance of the power generation device is, for example, the number of solar panels for which the power generation performance per sheet is set in advance. The calculated performance of the storage battery is the capacity of the storage battery (for example, in kWh units). Similar to the performance of the power generation device described above, the calculated performance may be the scale of the equipment such as a multiple (for example, number of sheets, number of units) with respect to the preset standard performance. Also, the calculated performance of the power generation device and the storage battery may be other than the above as long as it can identify the performance of the power generation device and the storage battery.

[0018] The equipment performance calculation device 10 is realized by a computer such as a PC (personal computer) or a server device, for example. Further, the equipment performance calculation device 10 may be realized by a plurality of computers, that is, a computer system.

[0019] Next, the functions of the equipment performance calculation device 10 according to the present embodiment will be described. As shown in FIG. 1, the equipment performance calculation device 10 includes a calculation information acquisition unit 11 and a performance calculation unit 12.

[0020] The calculation information acquisition unit 11 is a functional unit that acquires power consumption information related to the power consumption of the base station, power generation amount information indicating the power generation amount by the power generation device, and snow removal information related to snow removal for the power generation device. The calculation information acquisition unit 11 may acquire, as the snow removal information, a parameter indicating the time related to snow removal. The calculation information acquisition unit 11 may acquire environment information indicating the environment of the location where the base station is installed, and estimate the power generation amount by the power generation device based on the acquired environment information to acquire the power generation amount information. The calculation information acquisition unit 11 acquires the power consumption information, the power generation amount information, and the snow removal information as calculation information used for calculating the performance of the equipment. The calculation information acquisition unit 11 acquires each piece of information as follows, for example.

[0021] The equipment performance calculation device 10 stores information about the base station and the equipment provided in the base station in advance in a database or the like and uses it for acquiring the calculation information. The information stored here may include information about base stations other than the base station related to the calculation of the performance of the equipment. Specifically, what information is stored and how it is used will be described later.

[0022] The power consumption information acquired by the calculation information acquisition unit 11 is, for example, the power consumption of the base station per unit time (for example, per year) (for example, in kWh units). The equipment performance calculation device 10 stores in a database or the like information showing the correspondence between the equipment configuration of a base station and its annual power consumption for green base stations already in use (other than the base station related to the calculation of equipment performance). An example of the information stored is shown in Figure 3(a). A base station may be composed of multiple devices ("Device A", "Device B", ... "Device Z" shown in Figure 3(a)) (equipment). Each device consumes power to realize the function of a base station, and is, for example, an antenna that constitutes a cell or sector of the base station. The information showing the equipment configuration of the base station stored in the database is the number of each device installed in the base station. The power consumption of the base station will be according to the configuration of the above devices.

[0023] The calculation information acquisition unit 11 acquires information indicating the equipment configuration of the base station related to the calculation of equipment performance. This information is pre-stored in a database by, for example, a user of the equipment performance calculation device 10, and the calculation information acquisition unit 11 acquires the stored information. An example of the information acquired is shown in Figure 3(b). The calculation information acquisition unit 11 acquires power consumption information from information indicating the correspondence between the equipment configuration of an existing base station and the annual power consumption (information shown in Figure 3(a)) and information indicating the equipment configuration of the base station related to the calculation of equipment performance (information shown in Figure 3(b)).

[0024] For example, the calculation information acquisition unit 11 generates a trained model using machine learning, taking information indicating the base station's equipment configuration as input and outputting information indicating power consumption, based on information indicating the correspondence between the equipment configuration of an existing base station and its annual power consumption (information shown in Figure 3(a)). The calculation information acquisition unit 11 then inputs information indicating the base station's equipment configuration related to the calculation of equipment performance (information shown in Figure 3(b)) into the generated trained model to calculate power consumption and acquire power consumption information. The generation of the trained model itself and the calculations using the trained model can be performed in the same way as conventional machine learning.

[0025] Alternatively, the calculation information acquisition unit 11 calculates the power consumption per unit (standard power consumption) from information showing the correspondence between the equipment configuration of existing base stations and the annual power consumption (information shown in Figure 3(a)). The calculation information acquisition unit 11 calculates the power consumption by multiplying the calculated power consumption per unit by information showing the equipment configuration of base stations related to the calculation of equipment performance (information shown in Figure 3(b)) and acquires power consumption information. The calculation of the power consumption per unit as described above can be performed using conventional statistical methods.

[0026] Green base stations do not experience large fluctuations in power consumption over 24 hours. Therefore, sophisticated power consumption forecasting is not necessary, and power consumption can be predicted from the base station's equipment configuration as described above. However, the acquisition of power consumption information (calculation of base station power consumption for equipment performance calculation) does not have to be done as described above and can be done by any method. Furthermore, the power consumption information may be other information as long as it can be used to calculate the performance of the power generation equipment and storage battery.

[0027] The power generation information acquired by the calculation information acquisition unit 11 is, for example, information indicating the amount of power generated per unit time at a predetermined scale of a power generation device installed at a base station. Specifically, the power generation information is the amount of power generated per hour (for example, in kWh units) when there is sunlight from one predetermined solar panel. The predetermined solar panel is the same as the solar panel whose number is calculated based on its performance.

[0028] The equipment performance calculation device 10 stores information in a database or the like that shows the correspondence between the amount of power generated by the solar panels installed at a green base station and environmental information indicating the environment at the location where the base station is installed, for green base stations that are already in use. The amount of power generated by these solar panels is the amount of power generated per unit time on a scale set in advance, similar to the amount of power generated in the power generation information.

[0029] Environmental information indicating the environment at the location where a base station is installed includes, for example, information indicating the meteorological environment at that location. This meteorological information may be time-series data for a predetermined period (e.g., the past 10 years). Examples of meteorological information include atmospheric pressure, relative humidity, temperature, cloud cover, weather, sunshine duration, and daily precipitation. Of the above, atmospheric pressure, relative humidity, temperature, cloud cover, weather, and sunshine duration are, for example, hourly data. Sunshine duration and daily precipitation are, for example, daily data. Each piece of information, excluding weather information, is a numerical value. Weather W information indicates the type of weather (sunny, cloudy, etc.). Information indicating the meteorological environment in each region is obtained from external sources, such as the Japan Meteorological Agency's database. The environmental information may also include time-series solar intensity data at the location.

[0030] The environmental information indicating the environment at the location where the base station is installed may be the average value of environmental information indicating the environment of observation points within a predetermined range centered on that location. Alternatively, if there are no observation points within the above range, the environmental information of the nearest observation point to that location may be used.

[0031] The calculation information acquisition unit 11 acquires environmental information indicating the environment of the location where the base station for calculating the performance of the equipment is installed. The above environmental information is similar to the meteorological information described above, and is information (meteorological information) indicating the weather environment in the area including the location. The environmental information indicating the environment of the location where the base station for calculating the performance of the equipment is installed is stored in a database in advance by, for example, a user of the equipment performance calculation device 10, and the calculation information acquisition unit 11 acquires the stored information.

[0032] The calculation information acquisition unit 11 acquires power generation information for existing green base stations from information showing the correspondence between the amount of power generated by the solar panels installed at the base station and environmental information indicating the environment of the location where the base station is installed, and from environmental information indicating the environment of the location where the base station is installed, which is related to the calculation of the equipment performance.

[0033] For example, the calculation information acquisition unit 11 extracts an existing green base station whose base station and weather environment are similar to those related to the calculation of the equipment performance. For each existing green base station whose information is stored in the database, the calculation information acquisition unit 11 calculates the following score (evaluation index) indicating the degree of similarity between the base station related to the calculation of the equipment performance and the weather environment.

Number

[0034] P in the above score t , S t , T t , C t , W t , L and R are the differential scores of the information indicating each weather environment between the base station related to the calculation of the equipment performance and the green base station. The differential score is set to be a larger value as the weather environment between the base station related to the calculation of the equipment performance and the green base station is closer (for example, the smaller the difference in the numerical values indicating the weather environment). For example, the differential score is calculated by inputting the information (for example, numerical values) indicating the weather environment between the base station related to the calculation of the equipment performance and the green base station into a calculation formula for calculating a preset differential score.

[0035] The meanings of the respective variables in the above score are as follows. P t : Differential score of air pressure at time t (for example, every hour as described above, the same below) S t : Differential score of relative humidity at time t T t : Differential score of air temperature at time t C t : Differential score of cloud cover at time t W t : Differential score of weather at time t L: Differential score of sunshine duration R: Differential score of daily precipitation As mentioned above, sunshine hours and daily precipitation are daily data (numerical values), so L and R are also daily values. Furthermore, Σ, which represents the sum of the above scores, represents the sum of the difference scores over the predetermined period mentioned above (for example, the past 10 years).

[0036] The calculation information acquisition unit 11 extracts the existing green base station with the highest calculated score as a green base station with a weather environment similar to the base station used for calculating the equipment performance. The calculation information acquisition unit 11 uses the amount of power generated by the solar panels associated with the environmental information of the extracted green base station in a pre-stored correspondence as an estimate of the amount of power generated by the solar panels installed at the base station used for calculating the equipment performance. The calculation information acquisition unit 11 acquires this power generation information as power generation information. This is because it is assumed that the amount of power generated by solar panels will be similar under similar weather conditions.

[0037] As described above, the calculation information acquisition unit 11 acquires power generation amount information by performing pattern matching using environmental information. However, the acquisition of power generation amount information does not have to be done in the manner described above and can be done by any method. For example, power generation amount information may be acquired by performing a simulation of solar panel power generation using power generation data from existing solar panels. Furthermore, the power generation amount information may be other information as long as it can be used to calculate the performance of the power generation device and storage battery.

[0038] The snow removal information acquired by the calculation information acquisition unit 11 is used to consider snow removal from the power generation device when calculating the performance of the power generation device and storage battery. In cold regions, snow accumulation on solar panels during winter is a problem. When snow accumulates on solar panels, the power generation efficiency drops sharply, so manual snow removal is necessary as needed. In this embodiment, the performance of the power generation device and storage battery installed in a base station located in a cold region is appropriately calculated.

[0039] Snow removal information is a parameter that indicates the time required for snow removal. For example, snow removal information includes the time required to remove snow from solar panels (time from the start to the end of snow removal) δ1 (e.g., in hours) and the travel time to the base station δ2 (e.g., in hours). If the location of the base station used for calculating the performance of the equipment is in a mountainous area far from the location of the base station's administrator (e.g., the location of the branch office of the company that manages the base station), it is necessary to consider travel time in addition to the time required for snow removal itself. The above travel time δ2 corresponds to this travel time.

[0040] The calculation information acquisition unit 11 acquires snow removal information, for example, by receiving user input operations from the equipment performance calculation device 10. However, the acquisition of snow removal information does not have to be done in the manner described above and can be done by any method. Furthermore, the snow removal information may be other information as long as it can be used to calculate the performance of the power generation device and storage battery. The calculation information acquisition unit 11 outputs the acquired power consumption information, power generation information, and snow removal information to the performance calculation unit 12.

[0041] The performance calculation unit 12 is a functional unit that calculates the above performance based on the power consumption information, power generation information, and snow removal information acquired by the calculation information acquisition unit 11. The performance calculation unit 12 may also calculate the performance using a pre-stored calculation formula for calculating performance, which includes a parameter indicating the time required for snow removal, acquired by the calculation information acquisition unit 11, as a variable. The performance calculation unit 12 calculates the performance as follows.

[0042] The performance calculation unit 12 receives power consumption information, power generation information, and snow removal information from the calculation information acquisition unit 11. Using the input information, the performance calculation unit 12 calculates the number of solar panels X (for example, in units of panels in the following formula) and the battery capacity Y (for example, in units of kWh in the following formula) using the following calculation formulas that are stored in advance.

number

[0043] The meaning of each variable in the above calculation formula is as follows: P i : The amount of electricity generated per hour by one solar panel at Green Base Station i, which has the most similar weather conditions to the base station used for calculating equipment performance [kWh]. α: Daily power consumption [kWh] of the base station used to calculate equipment performance. β: The average number of consecutive days [days] in which the amount of sunshine is less than a predetermined amount in historical data of the base station's location used to calculate the performance of the equipment. γ: Average daily sunshine hours [h] at the base station location used to calculate equipment performance. δ1: Time required to remove snow from solar panels [h] δ2: Travel time to the base station [h] for calculating equipment performance.

[0044] P i δ is a value indicated by power generation information. α is a value obtained by dividing the annual power consumption of the base station, indicated by power consumption information, by the number of days in the year. δ1 and δ2 are values ​​indicated by snow removal information. β and γ are information obtained from the aforementioned environmental information stored in the database beforehand.

[0045] The above calculation formula is designed to ensure that the power consumption of the base station can be covered by the electricity generated by the solar panels and stored in the battery. Furthermore, the above calculation formula is designed to ensure that the power consumption of the base station can be covered by the battery during the time required for snow removal from the solar panels, that is, during the time when power generation by the solar panels is not possible due to snow accumulation.

[0046] Furthermore, the calculation of the above performance does not necessarily have to be performed using the above formula; it may be performed in any way as long as it is based on power consumption information, power generation information, and snow removal information. For example, in order to allow for more leeway in the number of solar panels and the capacity of the storage battery, the (δ1+δ2) / 24 part of the formula may be changed to (δ1+δ2) / 24+δ (where δ is a pre-set supplementary time [days]). In addition, the pre-set δ may be set taking into consideration seasonal factors, etc.

[0047] Furthermore, β in the calculation formula may be the maximum number of consecutive days with less than the predetermined sunshine duration, rather than the average number of consecutive days with less than the predetermined sunshine duration. Alternatively, γ in the calculation formula may be the average daily sunshine duration in the predetermined short sunshine duration period, rather than the average daily sunshine duration in the entire period. By using such calculations, it is possible to calculate the number of solar panels and the capacity of storage batteries that give stronger consideration to the case of short sunshine duration.

[0048] Furthermore, in the example described above, the calculation was performed using information from only one existing green base station whose base station and weather environment were most similar to the equipment's performance. However, the calculation may also be performed using information from multiple existing green base stations with high scores. In that case, the calculation may be performed by taking the average of the information from multiple existing green base stations, or the above performance may be calculated for each of the information from multiple existing green base stations as multiple candidates.

[0049] The performance calculation unit 12 outputs information indicating the calculated performance in a preset manner. The performance calculation unit 12 may also display the information indicating the calculated performance on a display device provided by the equipment performance calculation device 10 so that the user of the equipment performance calculation device 10 can refer to the information. By referring to the information, the user of the equipment performance calculation device 10 can determine the number of solar panels to be installed at the base station and the capacity of the storage battery. Alternatively, they can decide on the installation of the base station itself. Furthermore, the output of information by the performance calculation unit 12 may be performed in a manner other than those described above. For example, the performance calculation unit 12 may transmit the information to another device or module. The above describes the functions of the equipment performance calculation device 10 according to this embodiment.

[0050] Next, the processes performed by the equipment performance calculation device 10 according to this embodiment (the operation method performed by the equipment performance calculation device 10) will be explained using the flowchart in Figure 4. In this process, first, calculation information used to calculate the performance of the equipment is acquired by the calculation information acquisition unit 11 (S01). Specifically, power consumption information related to the base station for calculating the performance of the equipment, and snow removal information related to snow removal for the power generation equipment (e.g., solar panels) installed at the base station are acquired. Environmental information indicating the environment of the location where the base station is installed is also acquired.

[0051] Next, the calculation information acquisition unit 11 estimates the amount of power generated by the power generation device based on the environmental information and acquires power generation information (S02). Subsequently, the performance calculation unit 12 calculates the performance of the equipment, specifically the number of solar panels and the capacity of the storage battery, based on the power consumption information, power generation information, and snow removal information (S03). Subsequently, the performance calculation unit 12 outputs information indicating the calculated performance of the equipment (S04). The above is the processing performed by the equipment performance calculation device 10 according to this embodiment.

[0052] In this embodiment, the performance of the equipment is calculated based on power consumption information, power generation information, and snow removal information. Therefore, according to this embodiment, the performance of the equipment installed at the base station can be calculated while taking into account the environment at the base station's location. In particular, since snow removal information is used in the performance calculation, the performance of the equipment can be calculated while taking into account snow removal according to the environment at the base station's location.

[0053] Furthermore, as in this embodiment, performance may be calculated using a calculation formula that includes a parameter indicating the time required for snow removal as a variable, with the parameter indicating the time required for snow removal being used as snow removal information. With this configuration, it is possible to appropriately consider the time when power generation by power generation devices such as solar panels is not possible due to snow accumulation, and to reliably and appropriately calculate the performance of the equipment while considering snow removal according to the environment at the location of the base station. However, the snow removal information does not have to be a parameter indicating the time required for snow removal; any information related to snow removal for power generation devices is acceptable. Also, the method of considering snow removal information may be other than the method using a calculation formula.

[0054] Furthermore, as in this embodiment, the power generation device may be a photovoltaic power generation device such as a solar panel. However, the power generation device may be something other than a photovoltaic power generation device, as long as its power generation is affected by snowfall.

[0055] Furthermore, as in this embodiment, the amount of power generated by the power generation device may be estimated based on environmental information to obtain power generation information. With this configuration, even when power generation information cannot be obtained directly, it is possible to reliably and appropriately obtain power generation information. As a result, the performance of the equipment can be calculated reliably and appropriately. However, it is not always necessary to estimate the amount of power generated based on environmental information, and the acquisition of power generation information may be carried out in any way.

[0056] In the embodiment described above, the equipment performance calculation device 10 calculated the performance of both the power generation device and the storage battery, but it is also possible to calculate the performance of only one of the power generation device or the storage battery. In that case, for example, the calculation can be performed using a calculation formula that calculates the performance of only one of the power generation device or the storage battery.

[0057] The block diagrams used in the description of the above embodiments show functional units. These functional blocks (components) are realized by any combination of at least one of hardware and software. Furthermore, the method of realizing each functional block is not particularly limited. That is, each functional block may be realized using one device that is physically or logically coupled, or it may be realized using two or more physically or logically separated devices that are directly or indirectly connected (for example, using wired or wireless connections). A functional block may also be realized by combining the above one device or the above multiple devices with software.

[0058] Functions include, but are not limited to, judgment, decision, determination, calculation, calculation, processing, derivation, investigation, exploration, confirmation, reception, transmission, output, access, resolution, selection, selection, establishment, comparison, assumption, expectation, assumption, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating (mapping), and assigning. For example, a functional block (configuration part) that enables transmission is called a transmitting unit or transmitter. In all cases, as mentioned above, the method of implementation is not particularly limited.

[0059] For example, the equipment performance calculation device 10 in one embodiment of the present disclosure may function as a computer that performs information processing according to the present disclosure. Figure 5 is a diagram showing an example of the hardware configuration of the equipment performance calculation device 10 according to one embodiment of the present disclosure. The above-described equipment performance calculation device 10 may be physically configured as a computer device including a processor 1001, memory 1002, storage 1003, communication device 1004, input device 1005, output device 1006, bus 1007, etc.

[0060] In the following explanation, the term "device" can be interpreted as a circuit, device, unit, etc. The hardware configuration of the equipment performance calculation device 10 may include one or more of the devices shown in the figure, or it may be configured to omit some of the devices.

[0061] Each function in the equipment performance calculation device 10 is realized by loading predetermined software (programs) onto hardware such as the processor 1001 and memory 1002, which allows the processor 1001 to perform calculations, control communication by the communication device 1004, and control at least one of data reading and writing in the memory 1002 and storage 1003.

[0062] The processor 1001 controls the entire computer, for example, by running an operating system. The processor 1001 may be composed of a central processing unit (CPU) that includes interfaces with peripheral devices, control units, arithmetic units, registers, etc. For example, each function in the equipment performance calculation device 10 described above may be implemented by the processor 1001.

[0063] Furthermore, the processor 1001 reads programs (program code), software modules, data, etc., from at least one of the storage 1003 and the communication device 1004 into the memory 1002 and executes various processes accordingly. The program used is one that causes the computer to execute at least a part of the operations described in the above embodiment. For example, each function of the equipment performance calculation device 10 may be stored in the memory 1002 and implemented by a control program that runs on the processor 1001. Although the above-described processes have been explained as being executed by one processor 1001, they may be executed simultaneously or sequentially by two or more processors 1001. The processor 1001 may be implemented by one or more chips. The program may also be transmitted from a network via a telecommunications line.

[0064] Memory 1002 is a computer-readable recording medium and may consist of at least one of the following: ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), RAM (Random Access Memory), etc. Memory 1002 may also be called a register, cache, main memory, etc. Memory 1002 can store executable programs (program code), software modules, etc., for carrying out information processing according to one embodiment of this disclosure.

[0065] The storage 1003 is a computer-readable recording medium and may consist of at least one of the following: an optical disc such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, a magneto-optical disk (e.g., a compact disc, a digital multipurpose disc, a Blu-ray® disc), a smart card, flash memory (e.g., a card, a stick, a key drive), a floppy® disk, a magnetic strip, etc. The storage 1003 may also be called an auxiliary storage device. The storage medium provided by the equipment performance calculation device 10 may be, for example, a database, server, or other suitable medium including at least one of the memory 1002 and the storage 1003.

[0066] The communication device 1004 is hardware (transceiver / receiver device) for communicating between computers via at least one of a wired network and a wireless network, and is also called a network device, network controller, network card, communication module, etc.

[0067] The input device 1005 is an input device that accepts input from an external source (e.g., a keyboard, mouse, microphone, switch, button, sensor, etc.). The output device 1006 is an output device that outputs to an external source (e.g., a display, speaker, LED lamp, etc.). The input device 1005 and the output device 1006 may be configured as an integrated unit (e.g., a touch panel).

[0068] Furthermore, each device, such as the processor 1001 and memory 1002, is connected by a bus 1007 for communicating information. The bus 1007 may be configured using a single bus, or different buses may be configured for each device.

[0069] Furthermore, the equipment performance calculation device 10 may be configured to include hardware such as a microprocessor, a digital signal processor (DSP), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array), and some or all of each functional block may be realized by such hardware. For example, the processor 1001 may be implemented using at least one of these hardware components.

[0070] Each aspect / embodiment described in this disclosure may be applied to at least one of the following systems: LTE (Long Term Evolution), LTE-A (LTE-Advanced), SUPER 3G, IMT-Advanced, 4G (4th generation mobile communication system), 5G (5th generation mobile communication system), FRA (Future Radio Access), NR (new Radio), W-CDMA (registered trademark), GSM (registered trademark), CDMA2000, UMB (Ultra Mobile Broadband), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, UWB (Ultra-WideBand), Bluetooth (registered trademark), and other appropriate systems, as well as next-generation systems extended based thereon. Furthermore, multiple systems may be applied in combination (for example, a combination of at least one of LTE and LTE-A with 5G).

[0071] The processing procedures, sequences, flowcharts, etc., of each aspect / embodiment described herein may be reordered, provided they are consistent with each other. For example, the methods described herein present various step elements in an exemplary order and are not limited to that specific order.

[0072] Input and output information may be stored in a specific location (e.g., memory) or managed using a management table. Input and output information may be overwritten, updated, or appended to. Output information may be deleted. Input information may be transmitted to other devices.

[0073] The determination may be made by a value represented by 1 bit (0 or 1), by a boolean value (true or false), or by a numerical comparison (for example, a comparison with a predetermined value).

[0074] Each aspect / embodiment described herein may be used individually, in combination, or switched between as needed during implementation. Furthermore, notification of specific information (e.g., notification that "X is") is not limited to explicit notification, but may also be implicit (e.g., by not providing such notification).

[0075] Although the present disclosure has been described in detail above, it will be clear to those skilled in the art that the present disclosure is not limited to the embodiments described herein. The present disclosure can be implemented in modified and altered forms without departing from the intent and scope of the present disclosure as defined by the claims. Therefore, the descriptions in the present disclosure are illustrative and not intended to be restrictive in any way.

[0076] Software should be broadly interpreted to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, execution threads, procedures, functions, and so on, whether they are called software, firmware, middleware, microcode, hardware description languages, or by any other name.

[0077] Furthermore, software, instructions, information, etc., may be transmitted and received via a transmission medium. For example, if software is transmitted from a website, server, or other remote source using at least one of wired technology (such as coaxial cable, fiber optic cable, twisted pair, or digital subscriber line (DSL)) and wireless technology (such as infrared or microwave), then at least one of these wired and wireless technologies is included in the definition of a transmission medium.

[0078] The terms “system” and “network” as used in this disclosure are interchangeable.

[0079] Furthermore, the information, parameters, etc., described in this disclosure may be expressed using absolute values, relative values ​​from a predetermined value, or corresponding other information.

[0080] As used in this disclosure, the terms “determining” and “determining” may encompass a wide variety of actions. “Determining” may include, for example, judging, calculating, computing, processing, deriving, investigating, looking up, searching, inquiry (e.g., searching in a table, database, or other data structure), and ascertaining. “Determining” may also include, for example, receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, and accessing (e.g., accessing data in memory). Furthermore, "judgment" and "decision" can include considering something as having been "judged" or "decided" after resolving, selecting, choosing, establishing, comparing, etc. In other words, "judgment" and "decision" can include considering something as having been "judged" or "decided" after some action. Also, "judgment (decision)" can be reinterpreted as "assuming," "expecting," or "considering."

[0081] The terms “connected,” “coupled,” or any variation thereof, mean any direct or indirect connection or coupling between two or more elements, and may include the presence of one or more intermediate elements between two elements that are “connected” or “coupled” with each other. The coupling or connection between elements may be physical, logical, or a combination thereof. For example, “connection” may be reinterpreted as “access.” As used in this disclosure, two elements may be considered to be “connected” or “coupled” with each other using at least one of one or more wires, cables, and printed electrical connections, and, in some non-limiting and non-exclusive examples, electromagnetic energy having wavelengths in the radio frequency domain, microwave domain, and optical (both visible and invisible) domain.

[0082] In this disclosure, the phrase "based on" does not mean "based solely on" unless otherwise specified. In other words, the phrase "based on" means both "based solely on" and "based at least on."

[0083] Any reference to elements using the designations “first,” “second,” etc., as used in this disclosure does not generally limit the quantity or order of those elements. These designations may be used in this disclosure as a convenient way to distinguish between two or more elements. Accordingly, references to the first and second elements do not imply that only two elements may be employed, or that the first element must precede the second element in any way.

[0084] Where the terms “include,” “including,” and variations thereof are used in this disclosure, these terms are intended to be inclusive, as is the term “comprising.” Furthermore, the term “or” as used in this disclosure is not intended to mean exclusive OR.

[0085] In this disclosure, if articles are added through translation, such as a, an, and the in English, this disclosure may include the fact that the noun following these articles is plural.

[0086] In this disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean "A and B are each different from C." Terms such as "separate" and "combine" may be interpreted similarly to "different." [Explanation of symbols]

[0087] 10... Equipment performance calculation device, 11... Calculation information acquisition unit, 12... Performance calculation unit, 1001... Processor, 1002... Memory, 1003... Storage, 1004... Communication device, 1005... Input device, 1006... Output device, 1007... Bus.

Claims

1. A performance calculation device for a base station equipped with a renewable energy power generation device and a battery, which calculates the performance of at least one of the power generation device and the battery, A calculation information acquisition unit that acquires power consumption information relating to the power consumption of the base station, power generation information indicating the amount of power generated by the power generation device, and snow removal information relating to snow removal for the power generation device, A performance calculation unit that calculates the performance based on the power consumption information, power generation information, and snow removal information acquired by the calculation information acquisition unit, A device for calculating equipment performance, equipped with the following features.

2. The calculation information acquisition unit acquires parameters indicating the time required for snow removal as snow removal information, The equipment performance calculation device according to claim 1, wherein the performance calculation unit calculates the performance using a pre-stored calculation formula for calculating the performance, which includes as a variable a parameter indicating the time required for snow removal obtained by the calculation information acquisition unit.

3. The equipment performance calculation device according to claim 1, wherein the power generation device is a photovoltaic power generation device.

4. The equipment performance calculation device according to claim 1, wherein the calculation information acquisition unit acquires environmental information indicating the environment of the location where the base station is installed, and estimates the amount of power generated by the power generation device based on the acquired environmental information to acquire power generation amount information.

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