Tron 的社交热度在各大平台上持续升温，表明社区对该币种的兴趣度和参与度不断高涨。讨论也在持续进行中，在过去 24 小时内新发布了 4,762 条关于 Tron 的帖子，其中有 2,826 人积极参与其中，社区互动将近 236万 次，也贡献了相当高的话题热度。另外，当前市场情绪值达到 74%，彰显了市场对 Tron 的总体感受和认知的洞察。 除了市场情绪这一指标外，当前 Tron 的发布量排名 1220，这体现了该币种在整体数字货币市场中的重要性和关注度。随着 Tron 的持续发展，其社交指标将成为衡量其影响力和市场覆盖度的重要参考。
The Tron blockchain operates on a Delegated Proof of Stake (DPoS) consensus mechanism, designed to improve scalability, transaction speed, and energy efficiency. Here's a breakdown of how it works: 1. Delegated Proof of Stake (DPoS): Tron uses DPoS, where token holders vote for a group of delegates known as Super Representatives (SRs)who are responsible for validating transactions and producing new blocks on the network. Token holders can vote for SRs based on their stake in the Tron network, and the top 27 SRs (or more, depending on the protocol version) are selected to participate in the block production process. SRs take turns producing blocks, which are added to the blockchain. This is done on a rotational basis to ensure decentralization and prevent control by a small group of validators. 2. Block Production: The Super Representatives generate new blocks and confirm transactions. The Tron blockchain achieves block finality quickly, with block production occurring every 3 seconds, making it highly efficient and capable of processing thousands of transactions per second. 3. Voting and Governance: Tron’s DPoS system also allows token holders to vote on important network decisions, such as protocol upgrades and changes to the system’s parameters. Voting power is proportional to the amount of TRX (Tron’s native token) that a user holds and chooses to stake. This provides a governance system where the community can actively participate in decision-making. 4. Super Representatives: The Super Representatives play a crucial role in maintaining the security and stability of the Tron blockchain. They are responsible for validating transactions, proposing new blocks, and ensuring the overall functionality of the network. Super Representatives are incentivized with block rewards (newly minted TRX tokens) and transaction feesfor their work.
奖励机制与相应费用
The Tron blockchain uses a Delegated Proof of Stake (DPoS) consensus mechanism to secure its network and incentivize participation. Here's how the incentive mechanism and applicable fees work: Incentive Mechanism: 1. Super Representatives (SRs) Rewards: Block Rewards: Super Representatives (SRs), who are elected by TRX holders, are rewarded for producing blocks. Each block they produce comes with a block reward in the form of TRX tokens. Transaction Fees: In addition to block rewards, SRs receive transaction fees for validating transactions and including them in blocks. This ensures they are incentivized to process transactions efficiently. 2. Voting and Delegation: TRX Staking: TRX holders can stake their tokens and vote for Super Representatives (SRs). When TRX holders vote, they delegate their voting power to SRs, which allows SRs to earn rewards in the form of newly minted TRX tokens. Delegator Rewards: Token holders who delegate their votes to an SR can also receive a share of the rewards. This means delegators share in the block rewards and transaction fees that the SR earns. Incentivizing Participation: The more tokens a user stakes, the more voting power they have, which encourages participation in governance and network security. 3. Incentive for SRs: SRs are also incentivized to maintain the health and performance of the network. Their reputation and continued election depend on their ability to produce blocks consistently and efficiently process transactions. Applicable Fees: 1. Transaction Fees: Fee Calculation: Users must pay transaction fees to have their transactions processed. The transaction fee varies based on the complexity of the transaction and the network's current demand. This is paid in TRX tokens. Transaction Fee Distribution: Transaction fees are distributed to Super Representatives (SRs), giving them an ongoing income to maintain and support the network. 2. Storage Fees: Tron charges storage fees for data storage on the blockchain. This includes storing smart contracts, tokens, and other data on the network. Users are required to pay these fees in TRX tokens to store data. 3. Energy and Bandwidth: Energy: Tron uses a resource model that allows users to access network resources like bandwidth and energy through staking. Users who stake their TRX tokens receive "energy," which is required to execute transactions and interact with smart contracts. Bandwidth: Each user is allocated a certain amount of bandwidth based on their TRX holdings. If users exceed their allotted bandwidth, they can pay for additional bandwidth in TRX tokens.
信息披露时间段的开始日期
2024-06-09
信息披露时间段的结束日期
2025-06-09
能源报告
能源消耗
3794397.23349 (kWh/a)
可再生能源消耗
23.380000000 (%)
能源强度
0.00003 (kWh)
主要能源来源与评估体系
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) – with major processing by Our World in Data. “Share of electricity generated by renewables – Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables
能源消耗来源与评估体系
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called “bottom-up” approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation.
To determine the energy consumption of a token, the energy consumption of the network(s) tron is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation.
排放报告
DLT 温室气体排放范围一：可控排放
0.00000 (tCO2e/a)
DLT 温室气体排放范围二：外购排放
1491.19811 (tCO2e/a)
温室气体排放强度
0.00001 (kgCO2e)
主要温室气体来源与评估体系
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) – with major processing by Our World in Data. “Carbon intensity of electricity generation – Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0
社媒平台热度