WO2025254094A1 - Procédé de traitement d'informations, appareil de traitement d'informations et programme de traitement d'informations - Google Patents

Procédé de traitement d'informations, appareil de traitement d'informations et programme de traitement d'informations

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Publication number
WO2025254094A1
WO2025254094A1 PCT/JP2025/019988 JP2025019988W WO2025254094A1 WO 2025254094 A1 WO2025254094 A1 WO 2025254094A1 JP 2025019988 W JP2025019988 W JP 2025019988W WO 2025254094 A1 WO2025254094 A1 WO 2025254094A1
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WO
WIPO (PCT)
Prior art keywords
update
information
der
information processing
cost
Prior art date
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Pending
Application number
PCT/JP2025/019988
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English (en)
Japanese (ja)
Inventor
達海 大庭
高弘 山口
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Panasonic Intellectual Property Management Co Ltd
Original Assignee
Panasonic Intellectual Property Management Co Ltd
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Application filed by Panasonic Intellectual Property Management Co Ltd filed Critical Panasonic Intellectual Property Management Co Ltd
Publication of WO2025254094A1 publication Critical patent/WO2025254094A1/fr
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
    • G06F21/57—Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00—Arrangements for software engineering
    • G06F8/60—Software deployment
    • G06F8/65—Updates
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/38—Arrangements for feeding a single network from two or more generators or sources in parallel; Arrangements for feeding already energised networks from additional generators or sources in parallel

Definitions

  • This disclosure relates to an information processing method, an information processing device, and an information processing program.
  • DER Distributed energy resources
  • DER Distributed energy resources
  • power generation equipment and power storage devices
  • downtime for these devices often directly leads to energy loss. Therefore, it is desirable to perform updates that cause downtime, such as security patches, in a way that minimizes energy loss as much as possible.
  • Patent Document 1 proposes a method of using an alternative device when updating a device, but if each device is expensive equipment, this solution is costly and unrealistic.
  • This disclosure provides an information processing method, information processing device, and information processing program that can perform update processing without significantly compromising the cost reduction effects and grid maintenance capabilities of DER.
  • One aspect of the present disclosure relates to an information processing method executed by a computer of an information processing device that creates an update plan for DER (Distributed Energy Resources) or devices that make up the DER.
  • the computer manages device update information related to the time required for device updates, retains device operation forecast information and cost information related to the costs required for operation, and determines the update start time for one or more devices that require updating based on the device update information and cost information.
  • This disclosure makes it possible to carry out the update process without significantly compromising the cost reduction benefits and grid maintenance capabilities of DER.
  • FIG. 1 is a diagram showing the overall configuration of a system in which a DER device update system according to an embodiment is used.
  • FIG. 2 is a block diagram showing a system configuration in which a DER device update system according to an embodiment is used.
  • FIG. 3 is a graph showing the transition of the amount of power generated, consumed, and stored by devices in customer facilities according to the embodiment.
  • FIG. 4 is a graph showing the power cost per unit time of devices in customer facilities according to the embodiment.
  • FIG. 5 is a graph showing fluctuations in cost and risk depending on the update start time of a specific device in customer equipment according to the embodiment.
  • FIG. 6 is a graph showing the change in attack probability with the time elapsed since the start of distribution of an update patch according to the embodiment.
  • FIG. 7 is a diagram showing a device update schedule created by the update planning unit according to the embodiment.
  • FIG. 8 is a diagram illustrating an optimization problem that needs to be solved when the update planning unit according to the embodiment creates a device update schedule.
  • FIG. 9 is a diagram showing a table of estimated and actual values of downtime during device update stored in the device update information storage unit in the DER according to the embodiment.
  • FIG. 10 is a flowchart showing the overall operation of the DER device update system according to the embodiment.
  • FIG. 11 is a flowchart showing how information required for creating a device update plan is extracted and estimated after device update information is acquired in the DER device update system according to the embodiment.
  • FIG. 12 is a flowchart showing how to create and select a device update plan in the DER device update system according to the embodiment.
  • FIG. 13 is a flowchart illustrating how to start a device update plan in a DER device update system according to an embodiment and modify the plan as necessary.
  • FIG. 14 is a block diagram illustrating an example of the hardware configuration of a DER device update system and customer equipment according to an embodiment.
  • DER Distributed Energy Resources
  • the inventors therefore conducted extensive research to find a solution to this problem. They discovered that because devices within a DER and other DER devices can function in a complementary manner, the costs and risks associated with downtime can be minimized by systematically updating devices within a DER or between multiple DERs.
  • This disclosure therefore provides specific steps to solve these problems.
  • An update system is an update system that creates update plans for DERs (Distributed Energy Resources) or devices that make up the DERs, and includes a DER device update information storage unit that manages device update information related to the time required for device updates, an operation information storage unit that holds device operation prediction information and cost information related to the costs required for operation, and an update plan creation unit that determines the update start time for one or more devices that require updating based on the device update information stored in the DER device update information storage unit and the cost information stored in the operation information storage unit.
  • DER device update information storage unit that manages device update information related to the time required for device updates
  • an operation information storage unit that holds device operation prediction information and cost information related to the costs required for operation
  • an update plan creation unit that determines the update start time for one or more devices that require updating based on the device update information stored in the DER device update information storage unit and the cost information stored in the operation information storage unit.
  • the following describes a DER or a device update system and method constituting the DER according to an embodiment.
  • the DER or a device update system and method constituting the DER adjusts the update start time when a device needs to be updated.
  • FIG. 1 is an overall diagram showing the system configuration in which the DER device update system 100 according to this embodiment is used. Each component in Figure 1 will be described.
  • the customer facility 200 is composed of a storage battery (BESS) 203, a photovoltaic (PV) power generation device 204, a hydrogen fuel cell (FC) 205, an EV charging equipment (EVSE) 206 connected to a vehicle (Vehicle) 500, a grid connection point (PCC) 202 which is the connection point with the power grid (Grid) 400, a gateway device (GW) 201 which relays communication between each facility and with the DER device update system 100, and a load (Load) 207 which consumes power within the DER.
  • BESS storage battery
  • PV photovoltaic
  • FC hydrogen fuel cell
  • EVSE EV charging equipment
  • FIG. 2 is a block diagram showing the system configuration in which the DER device update system 100 according to this embodiment is used.
  • the DER device update system 100 is an example of an information processing device.
  • the DER device update system 100 includes an update information acquisition unit 101, an update plan formulation unit 102, an update information transmission/reception unit 103, an update time recording/estimation unit 104, an intra-DER device update information accumulation unit 110, and a DER operation information accumulation unit 120.
  • DER devices such as the storage battery 203, solar power generation device 204, hydrogen fuel cell 205, and EV charging device 206 include an update command reception unit 211 and an update information notification unit 212, regardless of the device type.
  • Device update information is acquired by the update information acquisition unit 101 from the Internet 300, and if update information exists for the DER or the devices that make up the DER, information such as the model number of the equipment to be updated and the security patch ID is acquired (see Figure 9).
  • the update plan creation unit 102 determines the update start time for one or more devices that require updating based on the device update information and cost information. Specifically, the update plan creation unit 102 creates an appropriate device update plan based on information from the DER device update information storage unit 110 and the DER operation information storage unit 120, and sends update commands to each device via the update information transmission/reception unit 103 in accordance with the created plan.
  • the update plan creation unit 102 has the devices that have completed the update send actual update information via the update information notification unit 212, obtains information such as the difference from the estimated required update time, determines whether the device update plan needs to be revised, and if necessary, creates a new plan and carries out the update in accordance with the plan.
  • the functions configured by the DER device update system 100 and the DER devices are not limited to these.
  • Figure 3 is a graph showing the trends in the amount of electricity generated, consumed, and stored by devices within customer equipment 200 in this embodiment. Positive values on the BESS graph indicate discharging, and negative values indicate storage.
  • Figure 4 is a graph showing the electricity cost per unit time of devices within the customer facility 200 in this embodiment.
  • the cost of commercial electricity is higher during the day and lower at night, but the cost of hydrogen fuel cells 205 remains constant regardless of the time of day. This is because demand for commercial electricity is higher during the day and the cost of hydrogen fuel cells 205 depends on the costs of generating and transporting hydrogen, so there are few factors that affect the cost depending on the time of day.
  • FIG 5 is a graph showing the fluctuations in cost and risk depending on the update start time of a specific device in the customer facility 200 in an embodiment.
  • PV has high power generation capacity during the day and almost zero power generation capacity at night. Therefore, if a PV security update is performed during the day, the PV will lose its power generation capacity during the downtime during the update, and as a result, this will have to be compensated for with expensive commercial electricity, which will also result in significant additional costs. Furthermore, in this case, it will be necessary to purchase a large amount of commercial electricity, which will lead to a shortage of capacity on the supply side and increase the risk of frequency drop.
  • Figure 6 is a graph showing the change in attack probability over time since the start of update patch distribution in an embodiment. Since it is difficult to precisely quantify the attack probability, it is necessary to estimate the change in probability in advance using some method.
  • the attack probability in Figure 6 can be used, for example, in cases where a successful attack would always result in the attacker reducing the device's power generation or storage capacity to zero. In this case, the additional cost of being attacked during a period when no patches have been applied would be added, and the solution to the optimization problem that includes this element would put pressure on the device to speed up the update plan. There are various ways to reflect this in an actual optimization problem, but the simplest approach would be to set the additional cost of being attacked as a constant (for example, 10 million yen).
  • FIG. 7 shows a device update schedule created by the update plan creation unit 102 according to an embodiment.
  • a plan is set up to minimize the increased costs and risks associated with the updates, and the updates are carried out according to the plan.
  • Figure 8 is a diagram showing an optimization problem that needs to be solved when the update planning unit 102 according to the embodiment creates a device update schedule.
  • the DER device update information storage unit 110 manages device update information related to the time required for device updates.
  • the DER operation information storage unit 120 stores device operation prediction information and cost information related to the costs required for operation.
  • the DER operation information storage unit 120 also stores predicted trend information related to the predicted trends in one or more of DER power generation, consumption, and storage.
  • This example shows a problem that needs to be solved to minimize the expected additional cost compared to not updating while minimizing the risk of grid congestion and supply shortages, using the estimated update time recorded in the DER device update information storage unit 110, the estimated trends in daily power consumption and PV power generation recorded in the DER operation information storage unit 120, and the estimated cost per unit of commercial power.
  • Figure 8 shows the following assumptions: "The expected time required for each step required for updating follows the estimated values stored in the device update information storage section in the DER; and the predicted power consumption and PV power generation for a specified period follow the data in the DER operation information storage section.” It also shows the conditions to be met: "Key updating for all devices subject to key updating in DER1 and DER2 must be completed by YYYY/MM/DD; the grid congestion risk parameter value p1 must be maintained below 0.00001; the supply shortage risk parameter value p2 must be maintained below 0.00001; and scheduling when updating is not possible for each device must be avoided.” Furthermore, the parameter to be minimized is "expected additional cost.”
  • additional cost refers to the additional cost incurred compared to not updating the device.
  • the grid congestion risk parameter value and supply shortage risk parameter value are included in the constraints (requirements to be met), but this is not limiting. For example, they may be included in an objective function (parameters to be minimized) that incorporates the economic losses that would occur if grid congestion or supply shortage risks occur, or the economic losses that would occur if a cyber-attack were to occur. In this case, as shown in Figure 6, for example, the probability of being attacked increases over time since the patch was distributed, and the expected economic losses from a cyber-attack increase as time passes, so it is hoped that a schedule can be developed to complete updates early.
  • This problem can be solved using a linear programming solver, or by providing the same conditions and objective function to a prompt and outputting the language model as a script.
  • Language models may include large-scale language models, generative language models (e.g., Generative Pretrained Transformers (GPT)), representational language models (e.g., Bidirectional Encoder Representations from Transformers (BERT)), and/or any other type of language model.
  • GPT Generative Pretrained Transformers
  • BERT Bidirectional Encoder Representations from Transformers
  • additional discriminatory expertise may be learned using training data.
  • Figure 9 is a diagram showing a table of estimated and actual values of downtime during device updates stored in the DER device update information storage unit 110 according to an embodiment.
  • the device update information includes ID information according to the device update content, and either the time required for the update or the downtime.
  • the device update information also includes ID information according to the device update content, CPU usage rate, and memory usage rate.
  • the update time recording and estimation unit 104 uses the device update information to estimate the time required or device downtime.
  • Downtime estimates can be calculated, for example, using linear regression with model number, patch ID, CPU usage, and memory usage.
  • the actual downtime column records the actual amount of downtime that occurred on devices where updates were actually completed. If multiple patches need to be applied, the total downtime can be calculated by simply adding up the downtime estimates for the multiple patches.
  • the update information acquisition unit 101 acquires information about the device in the DER to be updated (step S1100).
  • the update information acquisition unit 101 formulates a device update plan based on the update information imported into the DER device update information storage unit 110 in step S1100 and the information recorded in the DER operation information storage unit 120 (step S1200).
  • the update information acquisition unit 101 carries out the actual update procedure based on the formulated plan, and modifies and re-executes the plan as necessary (step S1300).
  • FIG. 11 is a flowchart showing how the DER device update system 100 according to the embodiment extracts and estimates the information required to create a device update plan after obtaining device update information.
  • the update planning unit 102 acquires update information for devices in the DER that are to be updated (step S1101).
  • the update planning unit 102 also estimates the amount of downtime required for the devices to be updated by using linear regression or other methods based on past cases and case studies (step S1102).
  • the update planning unit 102 determines the attack probability and its impact according to the downtime for each device from given parameters or other factors (step S1103).
  • Figure 12 is a flowchart for planning and selecting a device update plan in the DER device update system 100 according to an embodiment.
  • the update plan formulation unit 102 acquires information on the estimated downtime of the device to be updated, impact information due to cyber attacks, and information on DER operation forecasts stored in the DER operation information accumulation unit 120 (step S1201).
  • the update plan formulation unit 102 then formulates an optimization problem that minimizes the increase in cost when updating a device compared to when the update is not performed. For example, by incorporating into the optimization problem an estimate of damage cost for the device based on the time elapsed since the start time of update patch distribution, the time of vulnerability disclosure, or the time of verification code disclosure, the update plan can be expedited compared to when the damage cost estimate is not incorporated.
  • the update planning unit 102 formulates an optimization problem that includes premise information, requirements to be satisfied, parameters to be minimized, etc., as shown in Figure 8, and then solves the optimization problem using a linear programming solver or the like (step S1202).
  • a unique solution to the optimization problem may be determined, there is a possibility that multiple solution candidates close to the optimal solution will emerge.
  • the update information transmitting and receiving unit 103 presents multiple solution candidates (step S1203).
  • the update planning unit 102 selects one update plan from the multiple solution candidates selected by the user and begins executing that update plan (step S1204). It is assumed that a system with a user interface is provided.
  • FIG. 13 is a flowchart showing how to start a device update plan in the DER device update system 100 according to an embodiment and modify the plan as necessary.
  • the update plan creation unit 102 performs update processing according to the plan determined in step S1200 (step S1301).
  • the update plan creation unit 102 determines the need for plan correction based on the actual device downtime when the update is completed during the actual update process, the difference between the predicted value and the current DER operating status, etc. (S1302).
  • plan revisions can be performed periodically, or when the integrated value of the difference between the initially assumed operating status and the current status exceeds a given threshold.
  • the update planning unit 102 determines that plan revision is necessary (step S1303), it again performs the device update plan formulation of step S1200, and restarts the device update/plan revision step S1300 based on the plan. If it determines that plan revision is not necessary, the update is performed as is, and the device update is completed.
  • FIG. 14 is a block diagram showing an example of the hardware configuration of the DER device update system 100 and the customer facility 200 according to the embodiment.
  • the DER device update system 100, the storage battery 203, the solar power generation device 204, the hydrogen fuel cell 205, and the EV charging device 206 of the customer facility 200 are configured as hardware using a conventional computer, with the CPU 10, ROM 12, RAM 14, and I/F unit 16 interconnected via a bus 18.
  • the CPU 10 is a computing device that controls the DER device update system 100, storage battery 203, solar power generation device 204, hydrogen fuel cell 205, and EV charging device 206 of the above embodiment.
  • the ROM 12 stores programs and the like that enable information processing by the CPU 10.
  • the RAM 14 stores data necessary for various processes by the CPU 10.
  • the I/F unit 16 is connected to the memory unit, input unit, display unit, sensor, communication unit, etc., and is an interface for sending and receiving data.
  • the CPU 10 reads a program from ROM 12 onto RAM 14 and executes it, thereby realizing each of the above functional units on the computer.
  • the programs for executing the above-mentioned processes executed by the DER device update system 100, storage battery 203, solar power generation device 204, hydrogen fuel cell 205, and EV charging device 206 in the above-mentioned embodiment may be stored in an HDD (hard disk drive).
  • the programs for executing the above-mentioned processes executed by the DER device update system 100, storage battery 203, solar power generation device 204, hydrogen fuel cell 205, and EV charging device 206 in the above-mentioned embodiment may be provided by being pre-installed in ROM 12.
  • the programs for executing the above processes executed by the DER device update system 100, storage battery 203, solar power generation device 204, hydrogen fuel cell 205, and EV charging device 206 in the above embodiments may be stored in an installable or executable format on a computer-readable storage medium such as a CD-ROM, CD-R, memory card, DVD (Digital Versatile Disk), or flexible disk (FD) and provided as a computer program product.
  • a computer-readable storage medium such as a CD-ROM, CD-R, memory card, DVD (Digital Versatile Disk), or flexible disk (FD)
  • the programs for executing the above information processing executed by the DER device update system 100, storage battery 203, solar power generation device 204, hydrogen fuel cell 205, and EV charging device 206 of the above embodiments may be stored on a computer connected to a network such as the Internet and provided by being downloaded via the network. Further, the programs for executing the above information processing executed by the DER device update system 100, storage battery 203, solar power generation device 204, hydrogen fuel cell 205, and EV charging device 206 of the above embodiments may be provided or distributed via a network such as the Internet.
  • each device does not necessarily have to include the update command receiving unit 211 and the update information notification unit 212.
  • device updates and notification of update information do not necessarily have to be performed directly between the device and the DER device update system 100.
  • step S1203 candidate device update plans are presented, and execution begins when one is selected. However, it is also possible to automatically select and execute one plan without necessarily presenting them.
  • the update planning unit 102 may determine in step S1302 whether or not a device update plan needs to be revised, either after each device update process is completed, or every hour.
  • a plan revision is determined, for example, based on the following factors. First, this occurs when the downtime during the update of a specific device is longer than expected, making it difficult to carry out the update according to the original update plan. Second, this occurs when, as a result of resolving the optimization problem in Figure 8, it is possible to achieve an update at a cost that is T% lower than the original plan (T is a constant).
  • each component of the security monitoring device may be individually integrated into a single chip using semiconductor devices such as ICs (Integrated Circuits) or LSIs (Large Scale Integration), or may include some or all of the components on a single chip.
  • the integrated circuit method is not limited to LSIs, and may be implemented using dedicated circuits or general-purpose processors. It is also possible to use FPGAs (Field Programmable Gate Arrays), which can be programmed after LSI manufacturing, or reconfigurable processors, which allow the connections and settings of circuit cells within LSIs to be reconfigured.
  • FPGAs Field Programmable Gate Arrays
  • reconfigurable processors which allow the connections and settings of circuit cells within LSIs to be reconfigured.
  • an integrated circuit technology that can replace LSIs emerges due to advances in semiconductor technology or other derivative technologies, that technology may be used to integrate functional blocks. The application of biotechnology, etc., is also a possibility.
  • the update process can be carried out without significantly compromising the cost reduction effect of DER or the grid maintenance capability.
  • This disclosure can be used in systems that update devices within distributed energy resources.
  • Appendix 1 An information processing method executed by a computer of an information processing device that formulates an update plan for a distributed energy resource (DER) or a device that constitutes the DER, the method comprising: The computer Manage device update information regarding the time required for updating the device; storing operation prediction information of the device and cost information relating to costs required for operation; determining an update start time for one or more devices that require updating based on the device update information and the cost information; Information processing methods.
  • the device update information includes ID information according to the update content of the device, and either a required update time or a downtime; The information processing method according to Supplementary Note 1 above.
  • the device update information includes ID information according to the update content of the device, a CPU usage rate, and a memory usage rate; The computer using the device update information to estimate the required time or downtime of the device; The information processing method according to Supplementary Note 1 above.
  • the computer stores predicted transition information regarding predicted transitions of one or more of power generation, consumption, and storage of the DER. The information processing method according to Supplementary Note 1 above.
  • the computer formulates an optimization problem that minimizes an increase in cost when updating the device compared to when the update is not performed. The information processing method according to Supplementary Note 1 above.
  • the computer incorporates, into the optimization problem, an estimate of damage cost according to the time elapsed since the start time of distribution of an update patch, the time of disclosure of a vulnerability, or the time of disclosure of a vulnerability verification code for the device, thereby accelerating the update plan compared to a case where the estimate of damage cost is not incorporated.
  • the information processing method according to Supplementary Note 5 above.
  • An information processing device that formulates an update plan for a DER or a device that constitutes the DER, The information processing device includes: Manage device update information regarding the time required for updating the device; storing operation prediction information of the device and cost information relating to costs required for operation; determining an update start time for one or more devices that require updating based on the device update information and the cost information; Information processing device.
  • REFERENCE SIGNS LIST 100 DER device update system 101 Update information acquisition unit 102 Update plan formulation unit 103 Update information transmission/reception unit 104 Update time recording/estimation unit 200 Customer equipment 201 Gateway device 202 Grid connection point 203 Storage battery 204 Photovoltaic power generation device 205 Hydrogen fuel cell 206 EV charging device 207 Load 211 Update command reception unit 212 Update information notification unit 300 Internet 400 Power system 500 Vehicle

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Abstract

Un procédé de traitement d'informations selon un aspect de la présente divulgation est un procédé de traitement d'informations exécuté par un ordinateur d'un appareil de traitement d'informations qui dessine un plan de mise à jour de ressources énergétiques distribuées (DER) ou un dispositif constituant le DER. L'ordinateur gère des informations de mise à jour de dispositif relatives à la durée requise pour mettre à jour le dispositif, conserve des informations de prédiction sur le fonctionnement du dispositif et des informations de coût relatives au coût requis au moment du fonctionnement, et détermine l'heure de début de mise à jour d'un ou de plusieurs dispositifs qui doivent être mis à jour sur la base des informations de mise à jour de dispositif et des informations de coût.
PCT/JP2025/019988 2024-06-05 2025-06-03 Procédé de traitement d'informations, appareil de traitement d'informations et programme de traitement d'informations Pending WO2025254094A1 (fr)

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JP2012230592A (ja) * 2011-04-27 2012-11-22 Panasonic Corp プログラム更新システム、プログラム更新方法およびそのプログラム
JP2012238180A (ja) * 2011-05-12 2012-12-06 Panasonic Corp 家電機器のプログラム更新システム、プログラム更新方法およびそのプログラム
WO2015033660A1 (fr) * 2013-09-09 2015-03-12 日本電気株式会社 Système de cellule de stockage d'énergie, procédé pour mettre à jour un système de cellule de stockage d'énergie et programme
JP2018151741A (ja) * 2017-03-10 2018-09-27 Ｎｅｃプラットフォームズ株式会社 情報処理装置、プログラム更新方法およびプログラム更新用プログラム

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