CN117354337A - Cloud-based intelligent operation and maintenance architecture of energy storage system - Google Patents
Cloud-based intelligent operation and maintenance architecture of energy storage system Download PDFInfo
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- CN117354337A CN117354337A CN202311214085.9A CN202311214085A CN117354337A CN 117354337 A CN117354337 A CN 117354337A CN 202311214085 A CN202311214085 A CN 202311214085A CN 117354337 A CN117354337 A CN 117354337A
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- 238000004146 energy storage Methods 0.000 title claims abstract description 142
- 238000012423 maintenance Methods 0.000 title claims abstract description 60
- 238000012545 processing Methods 0.000 claims abstract description 50
- 238000004458 analytical method Methods 0.000 claims abstract description 26
- 238000010801 machine learning Methods 0.000 claims abstract description 17
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- 238000005111 flow chemistry technique Methods 0.000 claims abstract description 6
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
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Abstract
The invention discloses an intelligent operation and maintenance architecture of an energy storage system based on a cloud end, which comprises energy storage terminal equipment, user terminal equipment and the cloud end of the energy storage system, wherein the energy storage terminal equipment transmits sampling data such as voltage, current, temperature and the like to a core processing unit through a data acquisition unit by using a private protocol, and the core processing unit is based on the sampling data and completes the function calculation of the energy storage equipment; the cloud firewall provides service security for a cloud core, the data flow processing unit guarantees reliability of large-flow data processing, and the cloud platform core is used for collecting and processing data uploaded by equipment and monitoring the running state of the equipment; by combining a machine learning architecture, the operation and maintenance analysis module and the intelligent language model module are added, the energy storage system can be automatically managed, the intelligent operation and maintenance requirements of the energy storage system are met, and the reliability, safety and intelligence of the energy storage system can be improved to a great extent.
Description
Technical Field
The invention relates to the technical field of energy storage system control, in particular to an intelligent operation and maintenance architecture of an energy storage system based on a cloud.
Background
The energy storage system, especially the household energy storage system, is a system which adopts an integrated design, is exquisite and attractive, is convenient to install, is provided with a long-service-life battery pack, provides photovoltaic array access, and can provide power for houses, public facilities, small factories and the like. Generally, the energy storage system adopts an integrated micro-grid architecture, can operate in off-grid and grid-connected modes, can realize seamless switching of operation modes, and greatly improves power supply reliability.
Currently, when the energy storage data reflecting the running state of the energy storage system is required to be checked to monitor the energy storage system, or a user is required to check the data on site; or special terminal equipment needs to be developed and used for data viewing; or, the energy storage system can be monitored and managed only by receiving the alarm information pushed by the energy storage system in a short message or information mode. Therefore, the existing energy storage system has the problem that the stored energy data cannot be conveniently displayed to a user.
According to the existing energy storage technical architecture scheme, the cloud end is often only provided with basic functions such as communication, data storage and the like, and the requirements of full life cycle closed loop intelligent operation and maintenance of an energy storage system are difficult to meet. With the continuous development of the energy storage industry, the development of long-life, high-precision and intelligent operation and maintenance research of an energy storage system is urgent.
The patent number of CN 113839449A discloses a safety control method and a safety control system for an energy storage system, wherein the safety control method for the energy storage system comprises the following steps: the data acquisition module acquires the battery cell operation data of the energy storage system and sends the battery cell operation data to the edge terminal equipment; the edge terminal equipment analyzes and processes the battery cell operation data and sends the battery cell operation data to the cloud terminal equipment; the cloud end equipment analyzes and processes the battery cell operation data and sends analysis and processing results to the edge end equipment; and integrating analysis and processing results of the edge terminal equipment and the cloud terminal equipment, and outputting a battery cell control strategy. According to the safety control method of the energy storage system, the operation processing of the battery cell operation data is simultaneously carried out by the edge terminal equipment and the cloud terminal equipment, and the edge terminal equipment can be fully utilized to rapidly judge in real time and the big data analysis capability of the cloud terminal equipment; however, the above technical solution does not deploy equipment security and network security measures to face network attack, secure data transmission and storage process under high data throughput, and cloud analysis results need to be fed back to operation and maintenance personnel, so that intelligent automatic hosting cannot be realized; the intelligent language model module is not added, and certain limitation exists in the operation and maintenance intelligence.
Disclosure of Invention
In order to solve the problem of limited network security and operation and maintenance intelligence, the invention discloses an intelligent operation and maintenance architecture of an energy storage system based on a cloud end, which comprises energy storage terminal equipment, user equipment and the cloud end of the energy storage system, and solves the problems of equipment security and network security by various communication protocols, network firewalls and data processing module deployment measures; by combining a machine learning architecture, the operation and maintenance analysis module and the intelligent language model module are added, the energy storage system can be automatically managed, the intelligent operation and maintenance requirement of the energy storage system is met, the reliability, the safety and the intelligence of the energy storage system can be improved to a great extent, and the problem that certain limitation exists in the intelligence is solved.
The utility model provides an energy storage system intelligence fortune dimension framework based on high in clouds which characterized in that includes: the system comprises an energy storage terminal device, an energy storage system cloud end and user terminal devices; the energy storage terminal equipment transmits sampling data such as voltage, current, temperature and the like to the core processing unit through the data acquisition unit by using a private protocol, and the core processing unit is used for completing functional calculation of the energy storage equipment based on the sampling data; the cloud firewall provides service security for a cloud platform core, the data flow processing unit guarantees reliability of large-flow data processing, and the cloud platform core is used for collecting and processing data uploaded by equipment and monitoring the running state of the equipment; the user terminal equipment can configure the energy storage equipment or access the relevant state of the energy storage equipment through the PC webpage terminal and the mobile terminal APP and the voice intelligent equipment based on the self management authority.
Further, the data acquisition unit is connected with the lithium battery pack, and the cloud platform core interacts with the database, the operation and maintenance analysis module and the intelligent language model module.
Furthermore, the data acquisition unit and the core processing unit are in daisy chain connection, and the data acquisition unit and the communication unit are connected through a UART serial port.
Further, the communication unit is connected with the core processing control unit through a UART serial port and is integrated into a wireless communication module, the real-time state information of the energy storage terminal equipment is reported to the cloud end of the energy storage system based on an Internet of things communication protocol, and an authorization instruction of the cloud end of the energy storage system is received.
Further, the core processing unit detects voltage current data and temperature conditions of the lithium battery pack.
Further, the database comprises a relational database and a non-relational database, and records all the energy storage equipment data.
Furthermore, the intelligent language model module can access Open AI ChatGPT to interact with the natural language of the client based on the machine learning system architecture.
Furthermore, the operation and maintenance analysis module adopts Sagemaker to analyze the consistency of the internal resistance and the battery core of the energy storage battery and the residual service life index based on mass operation and maintenance data stored in the data lake by adopting a machine learning model.
Furthermore, the energy storage terminal equipment adopts an identity authentication high security policy and is deployed with an MQTTS certificate.
Further, after receiving the cloud configuration information, the energy storage terminal equipment establishes MQTTS connection with the cloud of the energy storage system, and the energy storage terminal equipment establishes communication with the cloud of the energy storage system.
Compared with the prior art, the invention has the following advantages:
the invention adopts an identity authentication high-safety scheme for the energy storage terminal equipment to realize the lifetime safety management of the equipment; and in the data transmission processing, a firewall and a data stream processing unit are deployed, so that the reliability and the safety of large-flow energy storage data transmission are ensured.
The invention adds the operation and maintenance analysis module, can find potential operation and maintenance risks by means of machine learning advantages aiming at mass data, and feeds back the potential operation and maintenance risks to the energy storage terminal equipment through the cloud platform core, so that the energy storage terminal equipment can be automatically managed, and closed-loop intelligent operation and maintenance can be realized; the intelligent language analysis module is added, and the natural language interaction of the energy storage system and the client is realized by means of machine learning artificial intelligence, so that the convenience of the client for the operation and maintenance of the energy storage system is improved.
The invention carries out operation processing on the operation data of the battery core by the energy storage terminal equipment and the cloud of the energy storage system, fully utilizes the rapid real-time judgment of the energy storage terminal equipment and the big data analysis capability of the cloud of the energy storage system, and exerts the advantages of cooperative control and optimization of cloud edges, thereby realizing rapid identification and response processing of local data, early warning and early judgment of a big data platform, synchronizing to the automatic response processing of an edge end, further realizing early warning, rapid processing and automatic analysis response on the safety of the battery core, further improving the safety of the battery core of the energy storage system and reducing the labor cost.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of an energy storage terminal device architecture of the present invention;
FIG. 2 is a schematic diagram of a cloud architecture of an energy storage system according to the present invention;
fig. 3 is a schematic diagram of the overall architecture design structure of the present invention.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to fig. 1-3. It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless it is specifically stated otherwise.
In the description of the present invention, the terms "mounted," "connected," and "connecting" are to be construed broadly, unless otherwise specifically defined. For example, the connection can be fixed connection, detachable connection or integrated connection; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art in combination with specific cases.
The utility model provides an energy storage system intelligence fortune dimension framework based on high in clouds which characterized in that includes: the system comprises an energy storage terminal device, an energy storage system cloud end and user terminal devices; the energy storage terminal equipment transmits sampling data such as voltage, current, temperature and the like to the core processing unit through the data acquisition unit by using a private protocol, and the core processing unit is used for completing functional calculation of the energy storage equipment based on the sampling data; the cloud firewall provides service security for a cloud platform core, the data flow processing unit guarantees reliability of large-flow data processing, and the cloud platform core is used for collecting and processing data uploaded by equipment and monitoring the running state of the equipment; the user terminal equipment can configure the energy storage equipment or access the relevant state of the energy storage equipment through the PC webpage terminal and the mobile terminal APP and the voice intelligent equipment based on the self management authority.
The data acquisition unit is connected with the lithium battery pack, the cloud platform core interacts with the database, the operation and maintenance analysis module and the intelligent language model module, the data acquisition unit is in daisy chain connection with the core processing unit, and the data acquisition unit is connected with the communication unit through a UART serial port.
The intelligent language model module is based on a machine learning system architecture, can access Open AI ChatGPT to interact with a customer natural language, and the operation and maintenance analysis module adopts Sagemaker to analyze the consistency of the internal resistance and the battery core of the energy storage battery and the residual service life index by adopting a machine learning model based on mass operation and maintenance data stored in a data lake.
The communication unit is connected with the core processing control unit through a UART serial port and is integrated into a wireless communication module, the real-time state information of the energy storage terminal equipment is reported to the cloud end of the energy storage system based on an Internet of things communication protocol, and an authorization instruction of the cloud end of the energy storage system is received. The core processing unit detects voltage and current data and temperature conditions of the lithium battery pack, and the database comprises a relational database and a non-relational database, and records data of all energy storage devices.
The energy storage terminal equipment adopts an identity authentication high-security policy and is provided with an MQTTS certificate, the energy storage terminal equipment establishes MQTTS connection with the cloud of the energy storage system after receiving cloud configuration information, and the energy storage terminal equipment establishes communication with the cloud of the energy storage system.
As shown in fig. 1, the energy storage terminal device includes a lithium battery pack, a data acquisition unit, a communication unit, and a core processing control unit. The data acquisition unit takes a MC33771C chip as a front end acquisition chip; the core processing control unit adopts a TC234LP chip; the communication unit is integrated to comprise an ESP8266 WIFI wireless communication function, and is communicated with the cloud by adopting an MQTT SSL communication protocol. The data acquisition unit and the core processing unit are in daisy chain connection, and the data acquisition unit and the communication unit are connected through a UART serial port. In the running process of the energy storage terminal equipment, the data acquisition unit acquires information such as voltage, temperature and current of the battery pack and transmits the information to the core processing unit through daisy chain communication. The core processing unit calculates SOC/SOH/SOP/SOE based on the sampling information, and transmits a calculation result to the communication unit through the UART serial port, and then the calculation result is sent to the cloud.
In the energy storage terminal equipment, a lithium battery unit is provided with a data acquisition unit, daisy chain communication is adopted among the units, the data acquisition unit transmits sampling data such as voltage, current and temperature to a core processing unit through a private protocol, and the core processing unit completes SOC/SOH/SOP/SOE function calculation based on the sampling data. In addition, the core processing unit can also realize local protection response to faults such as overvoltage, undervoltage, overcurrent, overtemperature, insulation abnormality and the like of the lithium battery pack. The communication unit is connected with the core processing control unit through a UART serial port, a wireless communication module is integrated, real-time state information of the energy storage terminal equipment is reported to the cloud end of the energy storage system based on an Internet of things communication protocol, an authorization instruction of the cloud end of the energy storage system is received, and preferably, the Internet of things communication protocol can adopt MQTT/MQTTS, HTTP/MQTTS, lwM2M and the like. The energy storage terminal equipment adopts an identity authentication high-security policy, is deployed with a communication protocol certificate, is written in during production, and realizes the life-long security management of the equipment.
As shown in fig. 2, the cloud of the energy storage system includes a cloud firewall, a data flow processing unit, a cloud platform core, a database, a data lake, an operation and maintenance analysis module and an intelligent language model module. The cloud Firewall is configured with an AWS Firewall security service, and self-defines AWS WAF rules to protect the Web server and the managed Web application from attack. The data transmitted to the cloud end of the energy storage system by the energy storage terminal equipment is processed by the ASW MSK Kafka data stream processing unit, so that the transmission reliability of the data under the conditions of high concurrence and high throughput is guaranteed, and the data is transmitted to the cloud platform core and finally stored in the database and the data lake. The operation and maintenance analysis module adopts Sagemaker, analyzes indexes such as internal resistance, cell consistency, residual service life and the like of the energy storage battery by adopting a machine learning model based on mass operation and maintenance data stored in a data lake, identifies potential risks, can automatically host the potential risks, and realizes closed-loop operation and maintenance. The intelligent language model module is connected with the OpenAI ChatGPT to realize natural language interaction with clients, so as to realize intelligent front-end sales scheme analysis and high-efficiency operation and maintenance.
The cloud firewall provides security guarantee for the core service of the cloud platform, and can centrally configure and manage rules thereof; and the data flow processing unit ensures the reliability of processing the large-flow data under the condition that the throughput of the client application program is large and difficult to predict. The cloud platform core is mainly used for collecting and processing data uploaded by all operation equipment and monitoring the operation state of the equipment. The cloud platform core is provided with three levels of authority management levels, namely an administrator, a tenant and a client. Furthermore, the authorities of the administrators can realize tenant management, equipment types, component libraries and system related settings, and terminal equipment firmware release management; the authority of the tenant can be subjected to regional equipment management, instrument library management, operation and maintenance work order management, OTA management and audit log management; the client has permission to access the private equipment through the webpage or the mobile terminal APP, and the equipment state is checked.
The cloud platform core is also interacted with the database, the data lake, the operation and maintenance analysis module and the intelligent language model module. The database comprises a relational database and a non-relational database, and records all energy storage equipment data; the data lake stores mass operation data of the energy storage battery pack and provides analysis data and support for the operation and maintenance analysis module. The operation and maintenance analysis module is used for realizing index estimation such as internal resistance, cell consistency, health state estimation, residual service life and the like of the energy storage lithium battery pack based on the machine learning architecture and mass storage data in the data lake, identifying potential faults, completing risk prediction, finally interacting with energy storage terminal equipment through a cloud platform core, avoiding operation and maintenance personnel, realizing automatic hosting and closed-loop intelligent operation and maintenance. The intelligent language model module is based on a machine learning architecture, realizes natural language interaction with clients, is provided with functions of intelligent customer service, operation and maintenance assistant and the like, and can interact with user terminal equipment.
As shown in fig. 3, in the present invention, the steps of data transmission and communication establishment among the energy storage terminal device, the user terminal device and the cloud end of the energy storage system are specifically introduced, the energy storage terminal device adopts an identity authentication high security policy, is deployed with an MQTTS certificate, and is written in during production; the client adopts the client equipment to scan the information of the energy storage terminal equipment, the network configuration information is sent to the cloud end of the energy storage system through the client equipment by using an HTTPS protocol, after the configuration information is confirmed by the cloud end of the energy storage system, the server address is sent to the client equipment through the HTTPS protocol, and the server address is transmitted to the energy storage system terminal by the client equipment and is stored in the storage space of the client equipment. After the energy storage terminal equipment receives the cloud configuration information, an MQTTS connection is established with the cloud of the energy storage system, so that communication between the energy storage terminal equipment and the cloud of the energy storage system is established.
The invention adopts an identity authentication high-safety scheme for the energy storage terminal equipment to realize the lifetime safety management of the equipment; and in the data transmission processing, a firewall and a data stream processing unit are deployed, so that the reliability and the safety of large-flow energy storage data transmission are ensured. The operation and maintenance analysis module is added, potential operation and maintenance risks can be found by means of machine learning advantages aiming at mass data, and the potential operation and maintenance risks are fed back to the energy storage terminal equipment through the cloud platform core, so that automatic hosting can be realized, and closed-loop intelligent operation and maintenance can be realized; the intelligent language analysis module is added, and the natural language interaction of the energy storage system and the client is realized by means of machine learning artificial intelligence, so that the convenience of the client for the operation and maintenance of the energy storage system is improved.
The invention adopts an identity authentication high-safety scheme for the energy storage terminal equipment to realize the lifetime safety management of the equipment; and in the data transmission processing, a firewall and a data stream processing unit are deployed, so that the reliability and the safety of large-flow energy storage data transmission are ensured.
The invention adds the operation and maintenance analysis module, can find potential operation and maintenance risks by means of machine learning advantages aiming at mass data, and feeds back the potential operation and maintenance risks to the energy storage terminal equipment through the cloud platform core, so that the energy storage terminal equipment can be automatically managed, and closed-loop intelligent operation and maintenance can be realized; the intelligent language analysis module is added, and the natural language interaction of the energy storage system and the client is realized by means of machine learning artificial intelligence, so that the convenience of the client for the operation and maintenance of the energy storage system is improved.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the present disclosure is defined by the appended claims.
Claims (10)
1. The utility model provides an energy storage system intelligence fortune dimension framework based on high in clouds which characterized in that includes:
the energy storage terminal equipment transmits battery sampling data to the core processing unit through the data acquisition unit by using a private protocol, and the core processing unit is based on the sampling data and completes the function calculation of the energy storage equipment;
the cloud firewall provides service security for the cloud platform core, the data flow processing unit ensures the reliability of large-flow data processing, the cloud platform core collects and processes data uploaded by the equipment and monitors the running state of the equipment, and the operation and maintenance analysis module interacts with the intelligent language model module;
the user terminal equipment can configure the energy storage equipment or access the relevant state of the energy storage equipment through the PC webpage terminal and the mobile terminal APP and the voice intelligent equipment based on the self management authority.
2. The cloud-based energy storage system intelligent operation and maintenance architecture of claim 1, wherein the data acquisition unit is connected with a lithium battery pack, and the cloud platform core interacts with the database and the operation and maintenance analysis module interacts with the intelligent language model module.
3. The cloud-based energy storage system intelligent operation and maintenance architecture of claim 2, wherein the data acquisition unit and the core processing unit are in daisy chain connection, and the data acquisition unit and the communication unit are connected through a UART serial port.
4. The intelligent operation and maintenance architecture of the energy storage system based on the cloud end of claim 3, wherein the communication unit is connected with the core processing control unit through a UART serial port and integrated with a wireless communication module, and the real-time state information of the energy storage terminal equipment is reported to the cloud end of the energy storage system based on an internet of things communication protocol, and an authorization instruction of the cloud end of the energy storage system is received.
5. The cloud-based energy storage system intelligent operation and maintenance architecture of claim 4, wherein the core processing unit detects voltage and current data and temperature conditions of the lithium battery pack.
6. The cloud-based energy storage system intelligent operation and maintenance architecture of claim 2, wherein the database comprises a relational database and a non-relational database, and records all energy storage device data.
7. The cloud-based energy storage system intelligent operation and maintenance architecture of claim 1, wherein the intelligent language model module is based on a machine learning system architecture, and is connected with Open AI ChatGPT to interact with a client natural language.
8. The cloud-based intelligent operation and maintenance architecture of claim 7, wherein the operation and maintenance analysis module adopts a Sagemaker to analyze the consistency and the residual service life index of the internal resistance and the battery core of the energy storage battery by using a machine learning model based on mass operation and maintenance data stored in a data lake.
9. The cloud-based energy storage system intelligent operation and maintenance architecture according to any one of claims 1-6, wherein the energy storage terminal device adopts an identity authentication high security policy and is deployed with an MQTTS certificate.
10. The cloud-based intelligent operation and maintenance architecture of the energy storage system according to claim 1, wherein the energy storage terminal device establishes an MQTTS connection with the cloud of the energy storage system after receiving the cloud configuration information, and the energy storage terminal device establishes communication with the cloud of the energy storage system.
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| CN117896379A (en) * | 2024-03-14 | 2024-04-16 | 上海融和元储能源有限公司 | Data transmission method and device for energy storage equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117896379A (en) * | 2024-03-14 | 2024-04-16 | 上海融和元储能源有限公司 | Data transmission method and device for energy storage equipment |
| CN117896379B (en) * | 2024-03-14 | 2024-05-17 | 上海融和元储能源有限公司 | Data transmission method and device for energy storage equipment |
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