CN116629929A

CN116629929A - Low-carbon integration method, system and readable storage medium based on mobile energy storage

Info

Publication number: CN116629929A
Application number: CN202310231952.3A
Authority: CN
Inventors: 麦刘伟; 刘超
Original assignee: Shanghai Guoxuan New Energy Co Ltd
Current assignee: Shanghai Guoxuan New Energy Co Ltd
Priority date: 2023-03-10
Filing date: 2023-03-10
Publication date: 2023-08-22

Abstract

The application provides a method, a system and a readable storage medium for low-carbon integration based on mobile energy storage. The method includes obtaining electricity usage data from a plurality of user devices; constructing a message queue based on the electricity consumption data; acquiring power consumption data from the message queue, determining the carbon integral of each user based on the power consumption data corresponding to each user, and storing the carbon integral into a carbon integral account of the corresponding user; receiving a redemption request of a user for carbon point redemption goods; in response to the redemption request, a transaction redemption is performed based on the carbon point transaction rules. According to the method provided by the embodiment of the application, the use behavior of the household energy storage product for reducing the emission can be recorded and quantified. And generating carbon points, and placing the carbon points into a user carbon account for transaction, such as commodity exchange, to form new marketing transaction ecology, and finally realizing low-carbon ecology digital management of energy storage products to stimulate the habit of carbon emission reduction of the user.

Description

Low-carbon integration method, system and readable storage medium based on mobile energy storage

Technical Field

The application relates to the technical field of energy Internet of things and blockchain, in particular to a method, a system and a readable storage medium for low-carbon integration based on mobile energy storage.

Background

At present, a clean low-carbon, safe and efficient new energy system is a focus of attention. The universal application of clean energy is imperative. The household mobile energy storage product can provide clean and universal electricity utilization mode for users worldwide, accelerates the popularization of clean energy sources in the world, and ensures that the users always use electricity without worry.

However, the problems that exist at present are: on one hand, users do not form the habit of using clean new energy; on the other hand, the cloud platform cannot efficiently, stably and safely collect and record carbon emission reduction electricity consumption data of users. Therefore, the popularization of the use of clean new energy products is not facilitated.

Disclosure of Invention

In view of the above, the present application provides a method, a system and a readable storage medium for low-carbon integration based on mobile energy storage, which can effectively stimulate users to use clean new energy products, and is safe and efficient.

Some embodiments of the present application provide a method of low-carbon integration based on mobile energy storage. The application is described in terms of several aspects, embodiments and advantages of which can be referenced to one another.

In a first aspect, the present application provides a method for low-carbon integration based on mobile energy storage, comprising: acquiring electricity data from a plurality of user devices; constructing a message queue based on the electricity consumption data; acquiring the electricity consumption data from the message queue, determining the carbon point of each user based on the electricity consumption data corresponding to each user, and storing the carbon point into a carbon point account of the corresponding user; receiving a redemption request of a user for the carbon point redemption commodity; and responding to the exchange request, and executing exchange of the commodity and verification of the carbon points based on a carbon point transaction rule.

According to the low-carbon integration method based on mobile energy storage, the electricity utilization data of the user and the electricity utilization behavior of the user are quantized, the carbon integration is calculated according to the quantized data, and the carbon integration can be issued to a user carbon account. And the carbon points can be used for trading, such as exchanging commodities or services, to form new marketing trade ecology, and finally, the low-carbon ecology digital management of the energy storage products is realized, the habit of carbon emission reduction behavior of users is stimulated, and the low-carbon consumption of the whole link is realized.

As an embodiment of the first aspect, when the transaction redemption is completed, the method further comprises verifying the carbon integral. Further motivates the user's need for carbon integration to build up. As an embodiment of the first aspect, the acquiring electricity data from a plurality of user devices includes: and respectively acquiring a plurality of electricity utilization data from a plurality of user equipment by adopting a load balancing technology and a message queue telemetry transmission protocol. The performance bottleneck caused when a single device receives a large amount of electricity consumption data can be effectively improved.

As one embodiment of the first aspect, determining a carbon point for each user based on the electricity usage data corresponding to each user, and storing the carbon point in a carbon point account for the corresponding user, includes: and carrying out encryption and confirmation processing on the carbon integral corresponding to each user based on a block chain technology, and storing the carbon integral after the encryption and confirmation processing into a carbon integral account of the corresponding user. The security and reliability of the user account are ensured.

As an embodiment of the first aspect, the cryptographically secure processing includes: encrypting the carbon integral of all users; and performing verification and consensus mechanism processing on the user equipment corresponding to the carbon integration.

As an embodiment of the first aspect, the electricity consumption data includes: charging mode, charging period, charging power section, charge start electric quantity and target charge quantity. The data can effectively record the charging behaviors of the user, and the low-carbon behaviors of the user are quantified based on the data, so that the management of the system is facilitated.

As an embodiment of the first aspect, determining the carbon integral of each user based on the electricity usage data corresponding to each user includes: and determining the carbon point of each user based on the electricity consumption data corresponding to each user and the personal current carbon point grade of the user.

As an embodiment of the first aspect, determining the carbon integral for each user includes: determining a coefficient corresponding to the electricity consumption data and a coefficient corresponding to the grading of the current carbon content of the individual; and taking the product of the coefficients corresponding to all the electricity utilization data and the coefficient corresponding to the personal current carbon integral grade as the carbon integral obtained by the user in the charging.

As an embodiment of the first aspect, the method further comprises: external environment data are acquired, a charging mode suitable for the current environment is determined based on the environment data and combined with a charging strategy, and the charging mode is sent to the user equipment for selection by a user.

As an embodiment of the first aspect, the charging strategy includes: when the illumination reaches the preset intensity, determining that the charging mode is photovoltaic charging; when the wind power reaches a preset wind power value, determining the charging mode to charge the fan.

In a second aspect, the present application provides a low carbon integration system based on domestic mobile energy storage, comprising:

the data access platform is used for acquiring electricity utilization data from a plurality of user equipment and constructing a message queue based on the electricity utilization data;

the cloud platform is used for acquiring the electricity consumption data from the message queue, determining the carbon point of each user based on the electricity consumption data corresponding to each user, and storing the carbon point into a carbon point account of the corresponding user;

the cloud platform is used for receiving a redemption request of a user for the carbon point redemption commodity; and is combined with

In response to the redemption request, a transaction redemption is performed based on the carbon point transaction rules.

According to the low-carbon integral system based on mobile energy storage, the electricity utilization data of the user and the electricity utilization behavior of the user are quantized, the quantized data are calculated to obtain carbon integral, and the carbon integral can be issued to a user carbon account. And the carbon credits can be converted into commodities or services to form a new marketing transaction ecology, so that the low-carbon ecology digital management of the energy storage products is finally realized, the habit of carbon emission reduction behaviors of users is stimulated, and the low-carbon consumption of a full link is realized.

As an embodiment of the second aspect, when the transaction redemption is completed, the method further comprises verifying the carbon integral.

As one embodiment of the second aspect, the data access platform includes a first electronic device, and a device cluster built by a plurality of second electronic devices; the first electronic device is used for acquiring electricity data from a plurality of user devices and transmitting the electricity data of the plurality of user devices to the device cluster by adopting the load balancing technology; and the equipment cluster acquires a plurality of electricity utilization data by adopting a message queue telemetry transmission protocol.

As one embodiment of the second aspect, the cloud platform includes a top-up settlement device, a blockchain encryption validation device, and a carbon integral accounting device; the recharging settlement device is used for determining the carbon integration based on the electricity consumption data and sending the carbon integration to the carbon integration accounting device; the carbon deposit accounting device carries out encryption and confirmation processing on the carbon deposit through the blockchain encryption and confirmation device, and stores the carbon deposit after encryption and confirmation into a carbon deposit account of a corresponding user.

As an embodiment of the second aspect, the cryptographically secure processing includes: encrypting the carbon integral of all users; and performing verification and consensus mechanism processing on the user equipment corresponding to the carbon integration.

As an embodiment of the second aspect, the electricity consumption data includes: charging mode, charging period, charging power section, charge start electric quantity and target charge quantity.

As one embodiment of the second aspect, the recharging settlement device is configured to determine a carbon credit for each user based on the electricity consumption data corresponding to each user and the personal current carbon credit rating of the user.

As an embodiment of the second aspect, the recharging settlement device is configured to determine a coefficient corresponding to the electricity consumption data and a coefficient corresponding to the personal current carbon fraction rank; and taking the product of the coefficients corresponding to all the electricity utilization data and the coefficient corresponding to the personal current carbon integral grade as the carbon integral obtained by the user in the charging.

As an embodiment of the second aspect, the system further comprises: the cloud platform is used for acquiring external environment data, determining a charging mode suitable for the current environment based on the environment data and combining a charging strategy, and sending the charging mode to the user equipment for selection by a user.

As an embodiment of the second aspect, the charging strategy includes: when the illumination reaches the preset intensity, determining that the charging mode is photovoltaic charging; when the wind power reaches a preset wind power value, determining the charging mode to charge the fan.

In a third aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the method according to the embodiment of the first aspect.

Drawings

FIG. 1 is a scene diagram of a system architecture according to an embodiment of the application;

FIG. 2 is a schematic diagram of a system according to an embodiment of the application;

FIG. 3 is a flow chart of a method of low-carbon integration based on mobile energy storage according to one embodiment of the application;

FIG. 4 is a flow chart of encryption validation of user data in a blockchain in accordance with an embodiment of the present application;

FIG. 5 is a schematic diagram of a carbon integration trade process according to an embodiment of the present application;

FIG. 6 is a schematic flow chart of carbon integration generation to redemption merchandise in accordance with one embodiment of the application;

FIG. 7 is a data flow diagram of a mobile energy storage based low carbon integration process according to one embodiment of the application;

FIG. 8 is a schematic diagram of a system architecture for mobile energy storage based low-carbon integration according to one embodiment of the present application;

fig. 9 is a block diagram of a system on chip SoC according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

For convenience of description, the terms involved in the present application are explained first.

Message queue telemetry transport protocol (Message Queuing Telemetry Transport, MQTT), a "lightweight" communication protocol based on publish/subscribe (publich/substrice) mode, built on the TCP/IP protocol, provides real-time reliable message service with very little code and limited bandwidth for connected remote devices.

Blockchains are novel application modes of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanisms, encryption algorithms, and the like. Is an decentralized distributed ledger system that can be used to register and issue digital assets, title credentials, points, etc., and transfer, pay, and transact in a point-to-point fashion. Compared with the traditional centralized ledger system, the blockchain system has the advantages of complete disclosure, non-tampering, multiple payment prevention and the like.

The consensus mechanism is that the observed sequence of transactions by each node cannot be completely consistent due to higher network delay under the point-to-point network. Therefore, a mechanism needs to be designed for blockchain systems to agree on the order of transactions that occur in about the time. I.e. an algorithm that agrees on the precedence order of transactions within a time window.

Load balancing is responsible for carrying out balanced distribution on the acquired tasks.

A Message Queue (Message Queue), which is a container that holds messages during their transmission, is primarily intended to provide routing and to ensure delivery of messages. If the recipient is not available at the time the message is sent, the message queue will hold the message until the message can be successfully delivered. The message queue itself is asynchronous, allowing the recipient to retrieve the message long after it has been sent.

In order to facilitate understanding of the technical scheme of the present application, first, the technical problem to be solved by the present application will be described.

Referring to fig. 1, fig. 1 shows a scene diagram of a system architecture of an embodiment of the present application. As shown in fig. 1, the system architecture includes a user device, a data access layer device, and a cloud platform. The user equipment can be electronic equipment needing to be charged and stored or needing to be directly powered. For example, as shown in fig. 1, a new energy automobile 01 of a user a and a water heater 02 of a user B. The data access layer device may be a server 03, and the cloud platform is a cloud server 04. The server 03 is responsible for accessing the electricity consumption data of the user equipment, such as the charging data of the new energy automobile 01, the charging data of the water heater, and the like. And then forwards the data to the cloud platform. However, the current structure cannot support access of massive data of a large number of user devices because of more user devices, and a single server 03 can easily reach a performance bottleneck. And users currently do not form a habit of using clean new energy. Therefore, a solution is needed to encourage users to use clean new energy. At present, the occupancy rate of household mobile energy products on the market is higher and higher, but only some simple equipment data are collected, the power consumption condition of a user cannot be comprehensively monitored and counted, and the power consumption data of the user cannot be safely recorded. The existing new energy cloud platform cannot efficiently, stably and safely collect and record carbon emission reduction electricity utilization data of users. For example, low-carbon behavior of the power-on, power-on full link cannot be recorded. And thus, the user cannot be motivated to continue the carbon emission reduction action. Moreover, due to the factors of high collection frequency, large data volume and the like of energy data, when large-scale data collection or processing is carried out, the transmission efficiency is low, pressure is brought to storage and calculation resources, and data cannot be collected stably.

Based on the problems, the application provides a low-carbon integration method based on mobile energy storage, a user can open a carbon integration account, record the use behavior of the household energy storage product for emission reduction, and quantify. And after the system checks, corresponding carbon points are issued to a user carbon account, and then commodity or service can be exchanged to form new marketing transaction ecology, so that the low-carbon ecology digital management of the energy storage product is finally realized, the habit of carbon emission reduction behavior of the user is stimulated, and the low-carbon consumption of a full link is realized.

The method for low-carbon integration based on mobile energy storage according to the embodiment of the application is described below with reference to the accompanying drawings.

Referring to fig. 2, fig. 2 shows a schematic diagram of the system according to an embodiment of the present application. As shown in fig. 2, the system architecture includes user equipment, e.g., an automobile 21, a water heater 22. And a data access center and cloud platform 24. The data access center comprises an MQTT Broker server cluster formed by a plurality of message queue proxy servers 23 (MQTT Broker). And the server cluster of the data access center acquires electricity data from a plurality of user equipment and constructs a message queue based on the electricity data. And establishing connection requests with massive user equipment through the MQTT Broker server cluster, so that the data access performance of the data access center can be improved. Also, since both data stream processing and writing data to the database of the cloud platform are time consuming operations, and the speeds of writing and data entry are not uniform. In order to enable the MQTT Broker server to efficiently complete data transmission, ensure reliable execution of data stream processing and database writing operations, a message queue server is added between the MQTT Broker server and the cloud platform and is used for arranging and waiting for power consumption data to be processed, and an asynchronous processing mechanism is realized. When the cloud platform needs to process the power consumption data, the message queue can be polled to obtain the responsive data, so that the pressure of the cloud platform for processing the data is effectively reduced.

As shown in fig. 2, cloud platform 24 obtains the power usage data from the message queue, determines a carbon credit for each user based on the power usage data corresponding to each user, and stores the carbon credit in the carbon credit account for the corresponding user. And receiving a redemption request of a user for carbon point redemption goods. In response to the redemption request, the cloud platform 24 performs redemption of the commodity and verification of the carbon credits based on the carbon credit transaction rules. The method can enable a user using the mobile energy storage product to feel that each power consumption condition is recorded through each charging process and converted into carbon points for transaction, such as commodity or service exchange. The system can effectively stimulate the user to use the system and promote the user to develop the behavior habit of low-carbon electricity.

In one embodiment of the present application, as shown in fig. 2, consider a situation where there is a large amount of electricity usage data that may be maldistributed. The application adopts the technology of increasing load balance to cooperate with each other. And an elastic load balancing server 25 is added between the user equipment and the MQTT Broker server cluster, electricity data transmitted by the user equipment are transmitted to the elastic load balancing server 25, and the elastic load balancing server 25 distributes the electricity data to the MQTT Broker server evenly. Therefore, the method and the device avoid great burden and pressure on the local server caused by uneven distribution, and are beneficial to high-efficiency processing of data.

The method for low-carbon integration based on mobile energy storage according to the embodiment of the application is described below with reference to specific embodiments.

Referring to fig. 3, fig. 3 shows a flow chart of a method of low-carbon integration based on mobile energy storage according to an embodiment of the application. The method may be applied in a system architecture as shown in fig. 2, including S301-S307.

S301, electricity consumption data from a plurality of user equipment are acquired.

The user equipment may be an electronic device using electric energy, such as a new energy automobile, a battery car, a water heater, a mobile phone, a television, an electromagnetic oven, and the like, which is not limited in the application. These devices may be charged by home mobile energy storage devices, such as solar, wind and utility powered devices. When a user uses these devices and charges, i.e., the user's low-carbon behavior, charging data (electricity consumption data) is generated.

In one embodiment of the present application, the electricity data may include data of a charging mode, such as a photovoltaic charging or fan charging mode, a charging period, such as a peak, a valley, a period of time at ordinary times, a charging power period, a charge start amount, a target charge amount, and the like. The data may be input by the user during charging, such as the power of the charging device, or may be identified by the device, such as the charging period, and the system determines the normal period based on the current charging time being 9 am. In another example, when the vehicle is charged, the current charge start amount is notified to the system during charging, and after the charging is completed, the target charge amount is notified. The input method of the user data is not limited in the present application.

In one embodiment of the present application, as in fig. 2, this step S301 may be performed by an MQTT Broker server cluster of the data access center. The MQTT Broker server cluster may be connected to the elastic load balancing server 25 by adopting an MQTT transmission protocol, where the elastic load balancing server 25 establishes a connection with the user equipment, obtains electricity consumption data, and is then distributed to each server 23 in the MQTT Broker server cluster in a balanced manner, so as to ensure that the burden and pressure of each server 23 remain balanced.

S302, a message queue is built based on the electricity consumption data.

Wherein the message queuing may be performed by a message queuing server. The asynchronous control of each message can be realized through the message queue, and the cloud platform can process electricity utilization data conveniently.

And S303, acquiring power utilization data from the message queue.

As shown in connection with fig. 2, this step may be performed by cloud platform 24.

In an embodiment of the application, the cloud platform may comprise a plurality of electronic devices that respectively further process the electricity usage data to obtain carbon credits. Such as charge settlement, carbon credit accounting, encryption verification, carbon credit trading, etc.

S304, determining the carbon integral of each user based on the power utilization data corresponding to each user.

In one embodiment of the present application, the coefficients to which the electricity data correspond are first determined based on the electricity data of the user. The electricity consumption data comprises a charging mode, a charging time period, a charging power period, a charging initial electric quantity and a target charging quantity. And determining the coefficients corresponding to the electricity utilization data based on the coefficient determination rules which are set. For example, taking the full state as 100 as an example, the charging mode is that the photovoltaic power consumption number is 90, when the charging period is the valley, the coefficient of the charging period is 100, when the charging period is the peak power consumption period, the coefficient is 30, when the charging period is the normal power consumption period, the corresponding coefficient is 50, and the like. The coefficients corresponding to these electricity usage data are determined according to such rules. And based on the product of these coefficients as the final number of carbon credits. In some embodiments, the sum of the electricity consumption data may be added, and the calculation rule of the carbon integral is not limited by the application.

In one embodiment of the application, the carbon integral may also be calculated by ranking the user's current carbon integral in combination with the electrical data coefficient when calculating the carbon integral. The user current carbon credit rating may be rated by the number of user-integrated carbon credits. For example, when the number of carbon credits is 0-5000, the number of carbon credits is a normal user level, when the number of carbon credits is 5000-10000, the number of carbon credits is a medium user level, the number of carbon credits is 10000-50000, the number of carbon credits is a high user level, the number of carbon credits is 50000, the number of carbon credits is a special user level, etc. The higher the corresponding rank coefficient is set according to the rule from low to high of the ranks based on the different ranks. The higher the grade of users, the higher the number of carbon points can be when the same electricity consumption data is used, so that the users can be effectively stimulated to accumulate the carbon points by using the system, the charging data of household mobile energy storage products are quantized, the application efficiency of the carbon point system is improved, and the low-carbon behavior of the users is promoted.

In an embodiment of the present application, the calculation formula of the carbon integral may be: the resulting carbon integral of this charge = charging regime (photovoltaic/fan) coefficient x charging period (peak Gu Ping) coefficient x charging power period coefficient x charging starting charge amount coefficient x target charge amount coefficient x personal current carbon integral grading coefficient.

In the embodiment of the application, in order to improve the authenticity and the security of the data, the blockchain encryption and authority-confirming carbon integration is adopted, and the blockchain technology has the characteristics of traceability, non-falsification, trustworthiness and the like due to the fact that the blockchain technology is stored on a data chain, is transparent and efficient, and the data sharing is cooperated, so that the ownership of the data of a user is greatly ensured. All transmitted data of the blockchain is subjected to strict encryption treatment, so that the data and privacy of a user can be safer. The verification and consensus mechanism of the block chain is adopted, so that illegal setting is avoided to be malicious nodes, the data is difficult to tamper as long as the data is written into the block chain through consensus, and the trace is traced by depending on a chain structure.

The encryption validation process for blockchain ending is described below in conjunction with fig. 4.

Referring to fig. 4, fig. 4 shows a flowchart of encryption validation of user data in a blockchain in accordance with an embodiment of the present application. As shown in fig. 4, at a client (user device), a user may open his/her account, which includes data for transactions, such as information of a ledger, an operation set, and a user signature. The client establishes an HTTP protocol connection with the gateway node. And after being transmitted to the gateway node and checked by the gateway node, the data are transmitted to the consensus domain. For example, when the cloud platform performs accounting for carbon content in the user account, the calculated carbon content may be encrypted by the blockchain, and the encrypted carbon content may be subjected to authorization, i.e., checking/checking the authenticity of the data. And carrying out consensus on each node in the consensus domain through a consensus mechanism. And sequencing the tasks in the corresponding time window through the consensus domain to obtain a transaction list. And then the specific settlement node checks/verifies the tasks in the list, namely, the user confirms the right, then executes the transaction list, generates a block and updates the list, and finally returns the result to the user account.

It should be noted that, the encryption and authentication process of the blockchain may be an encryption method and an authentication process in the prior art, which are only exemplary and not limited in particular.

And S305, storing the carbon integral into a carbon integral account of a corresponding user.

After the encrypted and authorized carbon integration is stored in the carbon integration account of the user, the security and reliability of the whole data flow can be ensured.

S306, receiving a redemption request of a user for carbon point redemption goods.

After the user logs in the account, the commodity is exchanged by the carbon point based on the carbon point in the current account to the trading market. When the user clicks the exchange, the user equipment receives the exchange request and communicates with the cloud platform so that the cloud platform can execute commodity exchange based on the exchange request.

S307, in response to the redemption request, the redemption of the commodity and the verification of the carbon credits are performed based on the carbon credit transaction rules.

The carbon integration transaction rule can be set according to actual conditions. For example, one carbon point may correspond to 1 yuan, and the unit price of the commodity is the carbon point amount. After commodity exchange is successful, the cloud platform responds to deduct corresponding carbon points on the user account, namely, verification and marketing. In this way, the user can be effectively motivated to base on a low carbon integration system and perform low carbon behavior.

Referring to fig. 5, fig. 5 shows a schematic diagram of a carbon integration trade flow in accordance with an embodiment of the present application. As shown in fig. 5, the carbon integration transaction flow chart includes an interactive process of two devices, namely a system manager device and a user device. On the system manager side, the method comprises the following steps: the integration rule is set, for example, a carbon integration calculated based on the electricity consumption data calculation rule of the user. And (5) point commodity management, namely setting that commodities can participate in point exchange and the like. Credit commodity redemption rules (carbon credit trading rules), for example, the unit price of a commodity is calculated in terms of units, with one carbon credit representing one unit of money. The price of the commodity is more than one price per price, and more than one carbon point is needed. Or the price of some special goods may be partly integrated with carbon, partly with cash, etc. The application is not limited to the specific details of the rules. After these rules are set, on the user side, the user uses the device to log in the corresponding carbon points APP and the like to view the points in his own account. And redeem the point goods in the goods transaction market. The system manager device verifies the point order based on the actual price of the user redeemed for the item, and the item is distributed by the user participating in the point item based on the point order. Finally, the user gets the commodity. The process of carbon integration transaction is completed. The method can effectively stimulate the accumulation of the carbon points of the user, thereby promoting the user to do low-carbon actions dynamically.

The overall process of carbon integration generation to commodity redemption and verification of embodiments of the present application is described below with reference to the accompanying drawings.

Referring to fig. 6, fig. 6 shows a schematic flow chart of carbon integration generation to redemption merchandise in accordance with an embodiment of the application. As shown in fig. 6, there are two large systems, such as the low carbon integration system (abbreviated as low carbon integration system) of the home mobile energy storage device in fig. 6, which can perform the flow as shown in fig. 3. The other system is a blockchain and is used for communicating with a low-carbon integration system to realize encryption and authentication of data transmission, so that the authenticity and reliability of the data are ensured. As shown in fig. 6, the low carbon integration system includes step (1) of obtaining emission reduction carbon data generated by a user using a household mobile energy storage product, i.e., obtaining electricity data (low carbon data) of the user. Corresponding to S301 in fig. 3. And (2) integral issuing. The carbon reduction is converted to a carbon integral and issued through a blockchain. Corresponding to S304 and S305 in fig. 3. And (3) the user exchanges services or offers in the point mall. Corresponding to S306 in fig. 3. And (4) setting a commodity according to a carbon integration transaction rule by a low-carbon integration system. The carbon integral transaction rule can be set according to actual conditions, and the concrete content of the transaction rule is not limited by the application. And (5) integrating verification and verification. Wherein step (4) and step (5) correspond to S307 in fig. 3.

In order to facilitate the understanding of the overall scheme of the present application, the data flow of the low carbon integration process based on mobile energy storage will be described with reference to the accompanying drawings.

Referring to fig. 7, fig. 7 shows a data flow diagram of a low carbon integration process based on mobile energy storage in accordance with an embodiment of the present application. As shown in fig. 7, electricity data is obtained from a user equipment side, and is uniformly distributed to each MQTT Broker server through load balancing equipment, the MQTT Broker server processes and encapsulates the corresponding electricity data and sends the processed electricity data to a message queue, and a cloud platform processes data streams, including integral accounting, data encryption and validation processing and the like. The calculated carbon integral of these data is finally stored in a database.

Referring to fig. 8, fig. 8 is a schematic diagram of a system structure of a low-carbon integration based on mobile energy storage according to an embodiment of the application. The system may perform the method shown in fig. 3. As shown in fig. 8, the whole system may include a data access center, where the data access center may include a resilient load balancing server, a server cluster formed by a plurality of MQTT Broker servers, and a message queue server. The elastic load balancing server is communicated with the household energy storage product based on a network to obtain electricity consumption data. And the power consumption data is uniformly distributed to each MQTT Broker server based on a load balancing technology, so that performance bottlenecks caused when a single server receives mass data are avoided. The MQTT Broker server processes and encapsulates the electricity consumption data and sends the electricity consumption data to a message queue for ordering. And obtaining electricity consumption data from the message queue by a charging settlement center (recharging settlement device), calculating carbon points in a matching way according to factors such as an accumulated result of the electricity consumption data, and carrying out data quantification of emission reduction. And the quantized emission reduction data is sent to a carbon integration accounting center (carbon integration accounting equipment), the carbon integration accounting center calls a blockchain (blockchain encryption and validation equipment) intelligent contract to encrypt and store the validation, and generates carbon integration according to the carbon emission reduction data result, and sends carbon integration with corresponding proportion, and stores the encrypted validation into a personal carbon integration account of a user. And constructing a carbon point transaction center, performing commodity exchange or service and the like on carbon points in the personal carbon account through the carbon point transaction center, and recording issuing details, use details, point accounting and the like.

In the embodiment of the application, in order to remind a user to adopt a reasonable charging mode, the cloud platform can provide charging strategy service, for example, by acquiring external environment data and pushing the charging mode to the user based on the environment data, for example, when illumination reaches a preset intensity, for example, when the illumination intensity reaches 1 thousands lx, the user is recommended to use photovoltaic charging, and the charging mode is sent to the user equipment. When the wind power reaches a preset wind power value, for example, the wind power reaches more than 4 levels, the user is recommended to charge by using the fan. Thereby reminding the user how to use the charging to obtain better low-carbon behavior.

The parameter values referred to in the present application are merely illustrative, and the present application is not limited thereto.

Referring now to fig. 9, shown is a block diagram of a SoC (System on Chip) 1300 in accordance with an embodiment of the present application. In fig. 9, similar parts have the same reference numerals. In addition, the dashed box is an optional feature of a more advanced SoC. In fig. 9, soC1300 includes: an interconnect unit 1350 coupled to the application processor 1310; a system agent unit 1380; a bus controller unit 1390; an integrated memory controller unit 1340; a set or one or more coprocessors 1320 which may include integrated graphics logic, an image processor, an audio processor, and a video processor; a static random access memory (Static Random Access Memory, SRAM) unit 1330; a Direct Memory Access (DMA) unit 1360. In one embodiment, coprocessor 1320 includes a special-purpose processor, such as, for example, a network or communication processor, compression engine, GPGPU, a high-throughput MIC processor, embedded processor, or the like.

One or more computer-readable media for storing data and/or instructions may be included in Static Random Access Memory (SRAM) unit 1330. The computer-readable storage medium may have stored therein instructions, and in particular, temporary and permanent copies of the instructions. The instructions may include: the method of low-carbon integration based on mobile energy storage in the above embodiment is executed by at least one unit in the processor, and specific reference may be made to the method of the above embodiment, which is not described herein.

Embodiments of the disclosed mechanisms may be implemented in hardware, software, firmware, or a combination of these implementations. Embodiments of the application may be implemented as a computer program or program code that is executed on a programmable system comprising at least one processor, a storage system (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device.

Program code may be applied to input instructions to perform the functions described herein and generate output information. The output information may be applied to one or more output devices in a known manner. For the purposes of this application, a processing system includes any system having a processor such as, for example, a digital signal processor (Digital Signal Processor, DSP), microcontroller, application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or microprocessor.

The program code may be implemented in a high level procedural or object oriented programming language to communicate with a processing system. Program code may also be implemented in assembly or machine language, if desired. Indeed, the mechanisms described in the present application are not limited in scope by any particular programming language. In either case, the language may be a compiled or interpreted language.

In some cases, the disclosed embodiments may be implemented in hardware, firmware, software, or any combination thereof. The disclosed embodiments may also be implemented as instructions carried by or stored on one or more transitory or non-transitory machine-readable (e.g., computer-readable) storage media, which may be read and executed by one or more processors. For example, the instructions may be distributed over a network or through other computer readable media. Thus, a machine-readable medium may include any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer), including, but not limited to, floppy diskettes, optical disks, compact disk Read-Only memories (Compact Disc Read Only Memory, CD-ROMs), magneto-optical disks, read-Only memories (ROMs), random Access Memories (RAMs), erasable programmable Read-Only memories (Erasable Programmable Read Only Memory, EPROMs), electrically erasable programmable Read-Only memories (Electrically Erasable Programmable Read Only Memory, EEPROMs), magnetic or optical cards, flash Memory, or tangible machine-readable Memory for transmitting information (e.g., carrier waves, infrared signal digital signals, etc.) in an electrical, optical, acoustical or other form of propagated signal using the internet. Thus, a machine-readable medium includes any type of machine-readable medium suitable for storing or transmitting electronic instructions or information in a form readable by a machine (e.g., a computer).

In the drawings, some structural or methodological features may be shown in a particular arrangement and/or order. However, it should be understood that such a particular arrangement and/or ordering may not be required. Rather, in some embodiments, these features may be arranged in a different manner and/or order than shown in the drawings of the specification. Additionally, the inclusion of structural or methodological features in a particular figure is not meant to imply that such features are required in all embodiments, and in some embodiments, may not be included or may be combined with other features.

It should be noted that, in the embodiments of the present application, each unit/module mentioned in each device is a logic unit/module, and in physical terms, one logic unit/module may be one physical unit/module, or may be a part of one physical unit/module, or may be implemented by a combination of multiple physical units/modules, where the physical implementation manner of the logic unit/module itself is not the most important, and the combination of functions implemented by the logic unit/module is only a key for solving the technical problem posed by the present application. Furthermore, in order to highlight the innovative part of the present application, the above-described device embodiments of the present application do not introduce units/modules that are less closely related to solving the technical problems posed by the present application, which does not indicate that the above-described device embodiments do not have other units/modules.

It should be noted that in the examples and descriptions of this patent, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

While the application has been shown and described with reference to certain preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the application.

Claims

1. A method of low-carbon integration based on mobile energy storage, comprising:

acquiring electricity data from a plurality of user devices;

constructing a message queue based on the electricity consumption data;

acquiring the electricity consumption data from the message queue, determining the carbon point of each user based on the electricity consumption data corresponding to each user, and storing the carbon point into a carbon point account of the corresponding user;

receiving a redemption request of a user for the carbon point transaction redemption;

2. The method of claim 1, wherein the obtaining electricity usage data from a plurality of user devices comprises:

and respectively acquiring a plurality of electricity utilization data from a plurality of user equipment by adopting a load balancing technology and a message queue telemetry transmission protocol.

3. The method of claim 1 or 2, wherein determining a carbon credit for each user based on the electricity usage data corresponding to each user and storing the carbon credit in a carbon credit account for the corresponding user comprises:

and carrying out encryption and confirmation processing on the carbon integral corresponding to each user based on a block chain technology, and storing the carbon integral after the encryption and confirmation processing into a carbon integral account of the corresponding user.

4. A method according to claim 3, wherein the cryptographically correct process comprises:

encrypting the carbon integral of all users; and

and performing verification and consensus mechanism processing on the user equipment corresponding to the carbon integration.

5. The method of claim 1, wherein the electricity usage data comprises: one or more of a charging mode, a charging period, a charging power period, a charging start amount, and a target charging amount.

6. The method of claim 5, wherein determining a carbon integral for each user based on the electricity usage data corresponding to each user comprises:

and determining the carbon point of each user based on the electricity consumption data corresponding to each user and the personal current carbon point grade of the user.

7. The method of claim 6, wherein determining the carbon integral for each user comprises:

determining a coefficient corresponding to the electricity consumption data and a coefficient corresponding to the grading of the current carbon content of the individual;

and taking the product of the coefficients corresponding to all the electricity utilization data and the coefficient corresponding to the personal current carbon integral grade as the carbon integral obtained by the user in the charging.

8. The method as recited in claim 1, further comprising:

external environment data are acquired, a charging mode suitable for the current environment is determined based on the environment data and combined with a charging strategy, and the charging mode is sent to the user equipment for selection by a user.

9. The method of claim 8, wherein the charging strategy comprises:

when the illumination reaches the preset intensity, determining that the charging mode is photovoltaic charging;

when the wind power reaches a preset wind power value, determining the charging mode to charge the fan.

10. A home mobile energy storage based low carbon integration system comprising:

11. The system of claim 10, wherein the data access platform comprises a first electronic device and a cluster of devices built from a plurality of second electronic devices;

the first electronic device is used for acquiring electricity data from a plurality of user devices and sending the electricity data of the plurality of user devices to the device cluster by adopting a load balancing technology;

and the equipment cluster acquires a plurality of electricity utilization data by adopting a message queue telemetry transmission protocol.

12. The system of claim 10 or 11, wherein the cloud platform comprises a top-up settlement device, a blockchain encryption device, and a carbon integral accounting device;

the recharging settlement device is used for determining the carbon integration based on the electricity consumption data and sending the carbon integration to the carbon integration accounting device; and the carbon integral accounting equipment performs encryption and confirmation processing on the carbon integral through the blockchain encryption equipment, and stores the carbon integral after encryption and confirmation into a carbon integral account of a corresponding user.

13. The system of claim 12, wherein the cryptographically validation process comprises:

encrypting the carbon integral of all users; and

14. The system of claim 10, further comprising:

the cloud platform is used for acquiring external environment data, determining a charging mode suitable for the current environment based on the environment data and combining a charging strategy, and sending the charging mode to the user equipment for selection by a user.

15. The system of claim 14, wherein the charging strategy comprises:

16. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed by a processor, causes the processor to perform the method of claims 1-9.