Abstract: The present specification discloses blockchain-based information processing methods, apparatus, and devices. The blockchain-based information processing method includes: obtaining tree-structured data describing target relationships from a blockchain; obtaining service data of a ith-level target in the tree-structured data describing target relationships from the blockchain, where i is a positive integer; and executing a smart contract used for resource allocation, to allocate resources to each ith-level target based on a resource allocation scheme that is in the smart contract and that corresponds to the service data of each of the one or more ith-level targets.

Abstract: A method for evaluating the mechanical state of a high-voltage shunt reactor based on vibration characteristics is disclosed, relating to the technical field of electrical equipment fault diagnosis. The method includes: based on historical state data and real-time vibration and noise signal data of the high-voltage shunt reactor and through an LSTM neural network time series prediction method, comparing deviation between predicted characteristic value and actual characteristic value, and determining whether the high-voltage shunt reactor has mechanical defects or failures. By using the historical state data and the real-time vibration and noise signal data of the high-voltage shunt reactor, an LSTM neural network time series prediction method, as well as comparison of the deviation between the predicted characteristic value and the actual characteristic value, etc., the evaluation of the mechanical state of the high-voltage shunt reactor is realized.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for phone fraud prevention. One of the methods includes adding a first identifier of a first phone event of a first user into a blockchain managed by one or more devices on a decentralized network. The first identifier of the first phone event is classified into a list of phone fraud identifiers. A second identifier of a second phone event involving a second user is received. The second identifier is compared with the list of phone fraud identifiers that includes the first identifier. In a case where the second identifier matches a phone fraud identifier in the list of phone fraud identifiers, the first user is notified that the second phone event involves a risk of phone fraud.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for phone fraud prevention. One of the methods includes adding a first identifier of a first phone event of a first user into a blockchain managed by one or more devices on a decentralized network. The first identifier of the first phone event is classified into a list of phone fraud identifiers. A second identifier of a second phone event involving a second user is received. The second identifier is compared with the list of phone fraud identifiers that includes the first identifier. In a case where the second identifier matches a phone fraud identifier in the list of phone fraud identifiers, the first user is notified that the second phone event involves a risk of phone fraud.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for phone fraud prevention. One of the methods includes adding a first identifier of a first phone event of a first user into a blockchain managed by one or more devices on a decentralized network. The first identifier of the first phone event is classified into a list of phone fraud identifiers. A second identifier of a second phone event involving a second user is received. The second identifier is compared with the list of phone fraud identifiers that includes the first identifier. In a case where the second identifier matches a phone fraud identifier in the list of phone fraud identifiers, the first user is notified that the second phone event involves a risk of phone fraud.

Abstract: A computer-implemented method includes: compressing, by a service party, target data to be stored according to a preset compression template; assembling the compressed target data and a unique identifier of the preset compression template into storage transaction data; and transmitting the storage transaction data to a node device on a blockchain, so that the node device, in response to the storage transaction data, searches for a smart contract published on the blockchain, in which the smart contract corresponds to the unique identifier, invokes the preset compression template to determine that a data format of the target data conforms to a data format specified by the preset compression template, and in response to determining that the data format of the target data conforms to the data format specified by the preset compression template, stores the compressed target data.

Abstract: Methods, systems, apparatus, and computer programs encoded on computer storage media, for a blockchain are provided. One method includes: receiving a resource collection request; generating a resource collection record and an identifier of the resource collection record based on the resource collection request; recording the identifier of the resource collection record and an identifier of a first user corresponding to the resource collection record; releasing information associated with the resource collection request by invoking a first blockchain contract; receiving a resource transfer request comprising the identifier of the first user and a resource transfer quantity; generating a resource transfer record according to the resource transfer request, the resource transfer record comprising the resource transfer quantity, the identifier of the first user, the identifier of the resource collection record; and recording the resource transfer record.

Abstract: The present specification discloses blockchain-based information processing methods, apparatus, and devices. The blockchain-based information processing method includes: obtaining tree-structured data describing target relationships from a blockchain; obtaining service data of a ith-level target in the tree-structured data describing target relationships from the blockchain, where i is a positive integer; and executing a smart contract used for resource allocation, to allocate resources to each ith-level target based on a resource allocation scheme that is in the smart contract and that corresponds to the service data of each of the one or more ith-level targets.

Abstract: A computer-implemented method includes: compressing, by a service party, target data to be stored according to a preset compression template; assembling the compressed target data and a unique identifier of the preset compression template into storage transaction data; and transmitting the storage transaction data to a node device on a blockchain, so that the node device, in response to the storage transaction data, searches for a smart contract published on the blockchain, in which the smart contract corresponds to the unique identifier, invokes the preset compression template to determine that a data format of the target data conforms to a data format specified by the preset compression template, and in response to determining that the data format of the target data conforms to the data format specified by the preset compression template, stores the compressed target data.