Energy storage resource control method, system and medium based on trust mechanism

Abstract

The present invention discloses a method, system and medium for regulating energy storage resources based on a trust mechanism. The present invention includes diagnosing the network status of energy storage resources in the network, obtaining keywords of energy storage resources input by the user if the network status is normal; selecting relevant energy storage resources or the most relevant energy storage resources from the energy storage resources in the network based on the keywords, extracting relevant energy storage resources / the most relevant energy storage resources based on the trust mechanism, and updating the resource pool of relevant energy storage resources / the most relevant energy storage resources and backing up the extracted relevant energy storage resources; and displaying and outputting the extracted energy storage resources to the user. The present invention can analyze the time and accuracy between the time when the user finally obtains the resources and the time it takes to start entering the keywords, and can indirectly analyze the delay, freeze and timeliness of the network speed. The final results will be fed back to facilitate the update and improvement of the control terminal.

Description

Technical Field

[0001] The present invention relates to energy storage resource control technology, and in particular to an energy storage resource control method, system and medium based on a trust mechanism. Background Art

[0002] As technology advances, systems are also being upgraded. As systems continue to develop, the requirements for the hardware execution environment are becoming increasingly stringent. Currently, in the energy storage resource trading market, the hardware division of most energy storage resource control environments is based on resource applications being scaled up by a certain multiple of the total energy storage resources. Users then access and review energy storage resources based on their needs. Existing resource control terminals are prone to including less relevant energy storage resources during resource or control processes, increasing the internal operating load of the control terminals and preventing analysis and feedback from the entire process from energy storage resource entry to final acquisition. Summary of the Invention

[0003] Technical problems to be solved by the present invention: In response to the above-mentioned problems of the prior art, a method, system and medium for energy storage resource regulation based on a trust mechanism are provided. The present invention can detect the resources after acquisition, shield and block the occurrence of unhealthy information, and prompt the acquired sensitive resource information so that the user can be informed, thereby increasing the interaction between the terminal and the user. At the same time, it can analyze the time and accuracy between the user's final acquisition of the resource and the start of keyword entry, and can indirectly analyze the delay, freeze and timeliness of the network speed. The final results will be fed back to facilitate the update and improvement of the control terminal.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0005] A method for regulating energy storage resources based on a trust mechanism, comprising:

[0006] S1, diagnose the network status of the energy storage resources in the network. If the network status is normal, jump to step S2;

[0007] S2, obtaining the keyword of energy storage resources input by the user;

[0008] S3, selecting relevant energy storage resources or the most relevant energy storage resources from the energy storage resources in the network based on the keyword. If relevant energy storage resources are selected from the energy storage resources in the network, jump to step S4; otherwise, jump to step S6;

[0009] S4, extract relevant energy storage resources based on the trust mechanism and update the resource pool of relevant energy storage resources;

[0010] S5, back up the extracted related energy storage resources; jump to step S8;

[0011] S6, extracting the most relevant energy storage resources based on the trust mechanism and updating the resource pool of the most relevant energy storage resources;

[0012] S7, the most relevant energy storage resource for backup extraction;

[0013] S8, the extracted energy storage resources are displayed and output to the user.

[0014] Optionally, step S1 includes: performing network status diagnosis on the energy storage resources in the network through a network diagnostic tool. If the response time of any energy storage resource exceeds a preset threshold, or the total number of energy storage resources is lower than a preset threshold, the network status is determined to be abnormal, and the process ends and exits; otherwise, the network status is determined to be normal and the process jumps to step S2.

[0015] Optionally, the network diagnostic tool used in step S1 is SolarWinds network monitoring software.

[0016] Optionally, step S3 includes: determining the type information of the keyword; if the type of the keyword is category information of energy storage resources, selecting all resources whose categories match the keyword from the energy storage resources as relevant energy storage resources for the keyword, and jumping to step S4; otherwise, selecting a resource whose attribute information best matches the keyword from the energy storage resources as the most relevant energy storage resource for the keyword, and jumping to step S6.

[0017] Optionally, step S4 includes: sending a resource extraction request to the management system corresponding to the relevant energy storage resources, the management system determines whether the user or client bound in the request is in the preset trust mechanism whitelist, and if so, allocates the required energy storage resources to the requester in the resource pool of the relevant energy storage resources, and then updates the resource pool of the relevant energy storage resources to subtract the allocated energy storage resources; otherwise, if not in the preset trust mechanism whitelist, refuses to allocate the required energy storage resources to the requester, ends and exits; step S6 includes: sending a resource extraction request to the management system corresponding to the most relevant energy storage resource, the management system determines whether the user or client bound in the request is in the preset trust mechanism whitelist, and if so, allocates the required energy storage resources to the requester in the resource pool of the most relevant energy storage resources, and then updates the resource pool of the most relevant energy storage resources to subtract the allocated energy storage resources; otherwise, if not in the preset trust mechanism whitelist, refuses to allocate the required energy storage resources to the requester, ends and exits.

[0018] Optionally, the backed-up extracted related energy storage resources or the most relevant energy storage resources in step S5 and step S7 refer to storage of the acquired resources through cloud backup and disk methods.

[0019] Optionally, before displaying the extracted energy storage resources to the user in step S8, the similarity between the attributes of the extracted energy storage resources and the preset shielded keywords is calculated. If the similarity exceeds a preset threshold, when displaying the extracted energy storage resources to the user, an alarm message indicating that the similarity of the output shielded keywords exceeds the limit is also displayed to the user.

[0020] Optionally, step S8 also includes a step of performing information analysis and diagnosis on the extracted energy storage resources and feeding back to a designated central management system, wherein the information analysis and diagnosis includes single or multiple communications with the energy storage resources to obtain the network delay time or response time.

[0021] In addition, the present invention also provides an energy storage resource control system based on a trust mechanism, comprising a microprocessor and a memory connected to each other, wherein the microprocessor is programmed or configured to execute the steps of the energy storage resource control method based on the trust mechanism.

[0022] In addition, the present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program is used to be programmed or configured by a microprocessor to execute the steps of the energy storage resource control method based on the trust mechanism.

[0023] Compared with the existing technology, the present invention mainly has the following advantages: the present invention includes diagnosing the network status of energy storage resources in the network, and if the network status is normal, obtaining the keywords of the energy storage resources input by the user; selecting relevant energy storage resources or the most relevant energy storage resources from the energy storage resources in the network based on the keywords, extracting relevant energy storage resources / the most relevant energy storage resources based on the trust mechanism, and updating the resource pool of relevant energy storage resources / the most relevant energy storage resources, and backing up the extracted relevant energy storage resources; and displaying the extracted energy storage resources to the user. The present invention can analyze the time and accuracy between the user's final acquisition of resources and the time taken to start entering keywords, and can indirectly analyze the delay, lag and timeliness of the network speed. The final results will be fed back to facilitate the update and improvement of the control terminal. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a core flow chart of the energy storage resource control method according to an embodiment of the present invention.

[0025] Figure 2 This is a flow chart of a method for regulating energy storage resources according to an embodiment of the present invention.

[0026] Figure 3 This is an information detection flow chart of the energy storage resource control method according to an embodiment of the present invention.

[0027] Figure 4 This is an information storage flow chart of the energy storage resource control method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The objects involved in the trust-based energy storage resource control method of this embodiment include clients and management systems. The client is the device accessed by the user, and the management system is used to manage energy storage resources in the network. Each energy storage resource corresponds to an energy storage resource pool, which is used to manage the allocation and use of energy storage resources. Energy storage power stations can be either distributed or centralized in the management system. Each energy storage power station is abstracted as an energy storage resource in the management system, and its related attributes include various attributes of the energy storage station, such as battery health, state of charge (SOC), battery number, capacity, network status, etc., with network status being key to energy storage resource control.

[0029] like Figure 1 and Figure 2 As shown, the energy storage resource control method based on the trust mechanism in this embodiment includes:

[0030] S1, diagnose the network status of the energy storage resources in the network. If the network status is normal, jump to step S2;

[0031] S2, obtaining the keyword of energy storage resources input by the user;

[0032] S3, selecting relevant energy storage resources or the most relevant energy storage resources from the energy storage resources in the network based on the keyword. If relevant energy storage resources are selected from the energy storage resources in the network, jump to step S4; otherwise, jump to step S6;

[0033] S4, extract relevant energy storage resources based on the trust mechanism and update the resource pool of relevant energy storage resources;

[0034] S5, back up the extracted related energy storage resources; jump to step S8;

[0035] S6, extracting the most relevant energy storage resources based on the trust mechanism and updating the resource pool of the most relevant energy storage resources;

[0036] S7, the most relevant energy storage resource for backup extraction;

[0037] S8, the extracted energy storage resources are displayed and output to the user.

[0038] In this embodiment, step S1 includes: performing network status diagnosis on the energy storage resources in the network through a network diagnostic tool. If the response time of any energy storage resource exceeds a preset threshold, or the total number of energy storage resources is lower than a preset threshold, the network status is determined to be abnormal, and the process ends and exits; otherwise, the network status is determined to be normal and the process jumps to step S2. In this embodiment, the network diagnostic tool used in step S1 is SolarWinds network monitoring software. SolarWinds network monitoring software is a network diagnostic tool designed to continuously perform latency testing and monitor the failure, availability, and performance of network equipment. Through the intelligent network alarm system of this tool, customized predefined thresholds (such as information resource response time and information resource quantity) can be created, and notifications can be received when these thresholds are exceeded. The use of this type of network diagnostic software can ensure that appropriate measures can be taken in a timely manner when problems occur.

[0039] like Figure 1 As shown, step S3 selects relevant or most relevant energy storage resources from energy storage resources in the network based on the keyword, and resources can be acquired using a large database resource network. In this embodiment, step S3 includes: determining the keyword type information. If the keyword type is energy storage resource category information, all energy storage resources whose categories match the keyword are selected from the energy storage resources as relevant energy storage resources for the keyword, and the process jumps to step S4; otherwise, the resource whose attribute information best matches the keyword is selected from the energy storage resources as the most relevant energy storage resource for the keyword, and the process jumps to step S6. After determining the relevant or most relevant energy storage resources, data is collected for the target resource based on the predefined dimensions, and data for multiple dimensions is obtained. When selecting energy storage resources, relevant resources and the most relevant resources can be obtained through resource search (when the required information is not fully understood, the information can be searched through keywords in the large category to which it belongs. The large category information belongs to the relevant resources. When the required information is fully obtained, it can be directly obtained through complete information resources. It belongs to the most relevant resources). Data collection is performed on the target resources based on the reservation dimension, and multi-dimensional data is obtained (the obtained resources can be modeled so that the resources can be quickly searched and collected. At the same time, the above-mentioned related resources and the most relevant resources can be divided according to different dimensions to facilitate the search for the obtained resources).

[0040] In this embodiment, step S4 includes: sending a resource extraction request to the management system corresponding to the relevant energy storage resource, the management system determines whether the user or client bound in the request is in the preset trust mechanism whitelist, and if so, allocates the required energy storage resources to the requester from the resource pool of the relevant energy storage resource, and then updates the resource pool of the relevant energy storage resource to subtract the allocated energy storage resources; otherwise, if not in the preset trust mechanism whitelist, refuses to allocate the required energy storage resources to the requester, ends and exits; step S6 includes: sending a resource extraction request to the management system corresponding to the most relevant energy storage resource, the management system determines whether the user or client bound in the request is in the preset trust mechanism whitelist, and if so, allocates the required energy storage resources to the requester from the resource pool of the most relevant energy storage resource, and then updates the resource pool of the most relevant energy storage resource to subtract the allocated energy storage resources; otherwise, if not in the preset trust mechanism whitelist, refuses to allocate the required energy storage resources to the requester, ends and exits.

[0041] In this embodiment, the related energy storage resources or the most related energy storage resources extracted in step S5 and step S7 refer to the storage of the obtained resources by cloud backup and disk methods. Figure 4 As shown, in this embodiment, storing the acquired resources by cloud backup and disk is referred to as "backup and storage", that is, backing up and storing by cloud backup and disk.

[0042] In this embodiment, before displaying the extracted energy storage resources to the user in step S8, the similarity between the attributes of the extracted energy storage resources and the preset shielded keywords is calculated. If the similarity exceeds a preset threshold, the extracted energy storage resources are displayed to the user, and an alarm message indicating that the shielded keyword similarity exceeds the threshold is displayed to the user. Figure 3 Based on the above alarm message, the healthy (energy storage) resource prompt, unhealthy (energy storage) resource shielding and sensitive information prompt functions can be further realized. In this embodiment, the resource pool under the target system is updated by using the resource pool, and the information collected by the picking technology and information integration technology is used to extract the matching feature, such as Figure 4As shown, the degree of fit uses word similarity; other similarity algorithms may also be used. As an optional implementation, this embodiment uses the most relevant resources ultimately obtained to perform an energy storage resource health check (by pre-entering unhealthy resource information and comparing it with the most relevant information ultimately obtained). Unhealthy resources are then screened, thereby shielding unhealthy energy storage resources to improve their availability. A friendly reminder is provided for sensitive information obtained (whether the images of the information being obtained may cause discomfort), increasing interaction with the user. It should be noted that the health of energy storage resources is inherent information of the energy storage resources and can generally be represented by the health of the battery.

[0043] like Figure 2 As shown, after step S8, this embodiment also includes the step of analyzing and diagnosing information about the extracted energy storage resources and feeding it back to a designated central management system. This information analysis and diagnosis includes single or multiple communications with the energy storage resources to obtain network delay or response time. As an optional implementation, this embodiment performs information analysis throughout the entire resource control terminal, enabling single statistics on the time from information entry to final resource display. This allows for indirect analysis and judgment of broadband carrier and wireless communication performance characteristics (indirectly judging the responsiveness of broadband carrier and wireless communication performance by the time from information search to final information acquisition). It also analyzes network delays, lags, and timeliness (calculating from the time it takes for user information to be searched to the time it is finally displayed to the user, and comparing the final information display speed with the normal speed). It also compares and analyzes the status values ​​in messages sent back by the terminal during normal and abnormal operation (calculating from the time it takes for user information to be searched to the time it is finally displayed to the user, and comparing the final information display speed with the normal speed, and comparing the resulting values ​​with the values ​​under normal conditions). Furthermore, it can analyze the response time between the final information display and entry. Ultimately, the final results of the analysis will be fed back to the central management system to facilitate flexible scheduling when the resource information control terminal is used again.

[0044] In summary, the method of this embodiment specifically includes: S1, network and resource diagnosis: diagnose and adjust the network status and resource status; S2, keyword entry: the user enters the keyword information of the required resource, and then searches after entering; S3, resource selection: obtain related resources and the most relevant resources by searching for resources; S4, resource regulation: extract the related resources and the most relevant resources after acquisition based on the trust mechanism; S5, resource backup: back up all the adjustable resources obtained; S6, resource storage: extract the most relevant resources after the backup, perform backup processing, and then match them with the resource in the resource backup to obtain the most relevant resources that finally match; S 7. Information detection: Finally, resources are acquired to detect the health of their content, unhealthy resources are shielded, and reminders are given for sensitive information acquired to increase interaction with users; S8. User resource display: The acquired resources are displayed to users; S9. Information analysis: The entire information analysis runs through the entire resource control terminal, and can perform a single statistical analysis of the time taken from information entry to the final display of the resource. It can also indirectly analyze and judge the performance characteristics of broadband carriers and wireless communications, and analyze network speed delays, freezes, and timeliness; S10. Information feedback: The final results of the analysis will be fed back to the central management system to facilitate flexible scheduling when the resource information control terminal is used again. The method of this embodiment can be applied to energy storage resource control terminals based on a trust mechanism in multiple scenarios. By adopting SolarWinds, SolarWinds network monitoring software is a network diagnostic tool designed to continuously perform latency testing and monitor the failure, availability, and performance of network equipment. Through the intelligent network alarm system of this tool, custom predefined thresholds can be created and notifications can be received when these thresholds are exceeded. The use of such network diagnostic software can ensure that when problems occur, corresponding measures can be taken in a timely manner, making it easy to discover and diagnose errors in time before resource control is repaired, and can extract the most relevant information for the resources that the user needs to select. It can back up the adjustable resources, extract the most relevant resources after the backup, perform a second backup, and then match them with the resources in the resource backup to obtain the final matching most relevant resources, ensuring the consistency and stability of users when obtaining data, and can detect the resources after acquisition, shield and block the appearance of unhealthy information, and can prompt the sensitive resource information obtained to make the user aware, increase the interaction between the terminal and the user, and at the same time be able to analyze the time and accuracy between the user's final acquisition of the resource and the start of keyword entry, and indirectly analyze the delay, freeze and timeliness of the network speed. The final results will be fed back to facilitate the update and improvement of the control terminal.

[0045] In addition, this embodiment also provides an energy storage resource control system based on a trust mechanism, including a microprocessor and a memory connected to each other, wherein the microprocessor is programmed or configured to execute the steps of the energy storage resource control method based on the trust mechanism.

[0046] In addition, this embodiment further provides a computer-readable storage medium, in which a computer program is stored. The computer program is used to be programmed or configured by a microprocessor to execute the steps of the energy storage resource control method based on the trust mechanism.

[0047] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application may take the form of a computer program product implemented on one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, may be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the functions described in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including the instruction device, which implements the function specified in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0048] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the concept of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for regulating energy storage resources based on a trust mechanism, characterized in that: include: S1, diagnose the network status of the energy storage resources in the network. If the network status is normal, jump to step S2; S2, obtaining the keyword of energy storage resources input by the user; S3, selecting relevant energy storage resources or the most relevant energy storage resources from the energy storage resources in the network based on the keyword. If relevant energy storage resources are selected from the energy storage resources in the network, jump to step S4; otherwise, jump to step S6; S4, extract relevant energy storage resources based on the trust mechanism and update the resource pool of relevant energy storage resources; S5, related energy storage resources for backup extraction; Jump to step S8; S6, extracting the most relevant energy storage resources based on the trust mechanism and updating the resource pool of the most relevant energy storage resources; S7, the most relevant energy storage resource for backup extraction; S8, displaying the extracted energy storage resources to the user; Step S3 includes: determining the type information of the keyword; if the type of the keyword is category information of energy storage resources, selecting all resources whose categories match the keyword from the energy storage resources as relevant energy storage resources for the keyword, and jumping to step S4; otherwise, selecting a resource whose attribute information best matches the keyword from the energy storage resources as the most relevant energy storage resource for the keyword, and jumping to step S6; when selecting all resources whose categories match the keyword from the energy storage resources as relevant energy storage resources for the keyword, including when the type information of the required keyword is not fully understood, searching through the keywords of the large category to which the type information of the keyword belongs to obtain relevant energy storage resources; when the type information of the required keyword is fully understood, directly obtaining through the complete type information resources of the keyword to obtain the most relevant energy storage resource.

2. The energy storage resource control method based on the trust mechanism according to claim 1 is characterized in that: Step S1 includes: performing network status diagnosis on the energy storage resources in the network through a network diagnostic tool. If the response time of any energy storage resource exceeds a preset threshold, or the total number of energy storage resources is lower than a preset threshold, the network status is determined to be abnormal, and the process ends and exits; otherwise, the network status is determined to be normal and the process jumps to step S2.

3. The energy storage resource control method based on the trust mechanism according to claim 2 is characterized in that: The network diagnostic tool used in step S1 is SolarWinds network monitoring software.

4. The energy storage resource control method based on the trust mechanism according to claim 1 is characterized in that: Step S4 includes: sending a resource extraction request to the management system corresponding to the relevant energy storage resources, the management system determines whether the user or client bound in the request is in the preset trust mechanism whitelist, and if so, allocates the required energy storage resources to the requester in the resource pool of the relevant energy storage resources, and then updates the resource pool of the relevant energy storage resources to subtract the allocated energy storage resources; otherwise, if not in the preset trust mechanism whitelist, refuses to allocate the required energy storage resources to the requester, ends and exits; step S6 includes: sending a resource extraction request to the management system corresponding to the most relevant energy storage resource, the management system determines whether the user or client bound in the request is in the preset trust mechanism whitelist, and if so, allocates the required energy storage resources to the requester in the resource pool of the most relevant energy storage resources, and then updates the resource pool of the most relevant energy storage resources to subtract the allocated energy storage resources; otherwise, if not in the preset trust mechanism whitelist, refuses to allocate the required energy storage resources to the requester, ends and exits.

5. The energy storage resource control method based on the trust mechanism according to claim 4 is characterized in that: The backed-up extracted related energy storage resources or the most related energy storage resources in step S5 and step S7 refer to the storage of the acquired resources through cloud backup and disk methods.

6. The energy storage resource control method based on the trust mechanism according to claim 5 is characterized in that: Before the extracted energy storage resources are displayed to the user in step S8, the similarity between the attributes of the extracted energy storage resources and the preset shielded keywords is calculated. If the similarity exceeds the preset threshold, when the extracted energy storage resources are displayed to the user, an alarm message indicating that the similarity of the output shielded keywords exceeds the limit is also displayed to the user.

7. The energy storage resource control method based on the trust mechanism according to claim 1 is characterized in that: After step S8, the step of performing information analysis and diagnosis on the extracted energy storage resources and feeding back to the designated central management system is also included. The information analysis and diagnosis includes single or multiple communications with the energy storage resources to obtain the network delay time or response time.

8. A trust mechanism-based energy storage resource control system, comprising a microprocessor and a memory connected to each other, characterized in that: The microprocessor is programmed or configured to execute the steps of the energy storage resource control method based on the trust mechanism as described in any one of claims 1 to 7.

9. A computer-readable storage medium storing a computer program, wherein: The computer program is used to be programmed or configured by a microprocessor to execute the steps of the energy storage resource control method based on the trust mechanism as described in any one of claims 1 to 7.

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