113 results about "Business collaboration" patented technology

The invention relates to the technical field of electric power government affair management, and provides a cross-department government affair big data business co-processing method based on a computing power platform and data fusion, comprising the following steps: S1, deploying a heterogeneous computing power cluster, and establishing a computing power resource dynamic scheduling data processing platform comprising a CPU, a GPU, an FPGA and an edge computing node; s2, acquiring multi-dimensional data of power grid equipment data, power grid load data, industry power consumption data and government policy data; and S3, designing a cross-department data access system based on the zero-trust architecture, and developing a multi-dimensional model of a power grid risk prediction model, an industry energy consumption analysis model and a carbon emission accounting model in power management. The space-time joint probability prediction and conflict priority ranking algorithm is applied to power-government affair emergency disposal, intellectualization and precision of cross-department business collaboration are achieved, power faults with serious consequences are rapidly handled according to the priority level, and the harmfulness and unpredictability of the power faults can be reduced.

The invention relates to a multi-view knowledge graph-driven industrial chain collaborative recommendation method, which comprises the following steps of: constructing knowledge graph views of a plurality of business dimensions through multi-source heterogeneous data, and performing feature decomposition and adaptive feature regulation and control; a multi-head knowledge propagation mechanism fusing a business context is provided, and hierarchical volume accumulation and dynamic path selection are carried out in combination with multi-view representation; through wavelet transform and multi-scale time sequence decomposition, constructing dynamic representation of a business entity in combination with an adaptive scale selection mechanism and an attention mechanism driven by industry characteristics; static and dynamic features are fused by using a gating network, a multi-party matching scoring mechanism based on comprehensive representation is constructed, and multi-party business collaboration and recommendation in an industrial chain are supported. By fusing multi-view knowledge graph construction, dynamic business entity modeling and comparative learning technologies, relevance between business of enterprises is disclosed, business recommendation is generated for related enterprises, and a foundation is laid for business resource allocation in an industrial chain.

The invention provides a telecommunication service fraud-related risk security assessment system based on a multi-modal fusion model, and the system comprises a multi-source data collection assembly which is responsible for obtaining original telecommunication service data in multiple ways, carrying out the preprocessing of the original telecommunication service data, and obtaining first telecommunication service data; performing feature extraction and behavior pattern analysis on the first telecommunication service data to obtain key features related to the telecommunication service; the assessment model construction component is responsible for constructing a fraud-related risk assessment model based on machine learning, inputting the key features into the fraud-related risk assessment model, outputting an intelligent assessment control matrix, classifying and rating fraud-related risks, and generating a risk assessment result; and the service collaborative linkage assembly is responsible for early warning the risk level of the telecommunication service system according to the risk assessment result, and taking prevention measures according to the risk level. According to the method, an objective evaluation standard is established, and the conversion of risk identification from experience judgment to data driving is realized.

The invention provides a service scene collaboration-oriented cross-service system micro-service processing method and system, and the method comprises the steps: firstly obtaining an initial interaction data set with a service scene label of a cross-power service system in a preset time period, and then carrying out the scene feature analysis of the initial interaction data set; obtaining electric power business scene features and interactive behavior features corresponding to each interactive data unit, then calling a pre-constructed business collaborative analysis model to perform collaborative correlation analysis on the features, and generating a collaborative processing strategy containing micro-service calling priorities and data interactive format specifications; and determining a business process adjustment scheme of each business system in the target power business scene according to the cooperative processing strategy, and finally generating a cooperative execution instruction containing a micro-service calling instruction sequence based on the business process adjustment scheme, and sending the cooperative execution instruction to the target business system to trigger a cross-system cooperative processing operation. Therefore, barriers among power business systems can be effectively broken, the cooperative processing efficiency and flexibility are improved, and the reliability of power supply is guaranteed.

The invention provides a business data sharing fusion system and method based on a trusted data space, and relates to the technical field of data sharing. According to the method, sharing and fusion of service data are realized by constructing a trusted data space infrastructure. The method comprises the following steps: firstly, establishing a node path planning model for priority evaluation and data matching; then forming a model collaborative deployment scheme to distribute tasks to edge nodes; then perception scoring and resource scheduling are carried out on the tasks, and a multi-task concurrent transmission scheme is generated; constructing a multi-domain network service level protocol evaluation model to perform service decomposition and business collaborative management; and finally carrying out heterogeneous processing and data fusion on the business data. According to the method, the problems of information islands, multi-source heterogeneous data fusion and cross-domain business collaboration among regional mechanisms are solved, and the system performance and the user experience are improved.

The invention discloses a multi-field business collaborative management system and method based on a block chain, and relates to the technical field of business collaborative management. Standardization rules are introduced, the field name, the data type and the unique identifier of data are processed in a unified manner, and by labeling sources, timestamps and operation records, the business collaborative management efficiency is improved; an anomaly detection algorithm based on statistical distribution, machine learning and rule verification is adopted, consistency verification and repeated data cleaning are combined, key features are extracted through principal component analysis, sparse coding and a deep learning embedding model, semantic alignment and feature fusion of texts, numerical values, time sequences and image data are achieved through multi-modal modeling, and the feature fusion of the text, numerical values, time sequences and image data is achieved. Cross-modal unified data representation is generated; a knowledge graph technology and a block chain technology are combined, a semantic relationship between fields is constructed through semantic alignment, an alliance chain is used for recording data circulation and operation, dynamic access authority management is realized in combination with an intelligent contract, and transparency and non-tampering performance of data are guaranteed.

The invention relates to the field of discrete manufacturing intelligence, in particular to an intelligent decision-making and business collaboration method based on an OAG ontology and an LLM large model, which comprises the following steps: collecting historical data and business documents, and performing directional fine tuning on a basic large language model to form the LLM large model; the method comprises the following steps: analyzing discrete manufacturing scene original data and business documents, and constructing an OAG ontology library; receiving field data in real time through the LLM large model, updating the OAG ontology library, and performing feedback optimization on the LLM large model to form bidirectional feedback; integrating real-time data and historical data, inputting the data into an LLM large model, converting the data into business knowledge through layering of an OAG ontology library, and generating a main and standby decision scheme; and establishing an agent federated center, issuing a decision scheme, collecting execution data and feeding back an LLM large model, and realizing cross-scene collaboration and full-process data closed loop. According to the invention, through a technical path of a whole-process data closed loop, a core pain point that an existing LLM does not understand a business is effectively solved, and whole-link value conversion of discrete manufacturing data is realized.

The invention discloses a ship supervision system for a navigable water area of a wind power plant, and relates to the technical field of ship supervision. The ship supervision system for the navigable water area of the wind power plant comprises a technical basis and model design module, a system framework construction module, an information interaction protocol and interface module, a ship monitoring and risk early warning module, an emergency disposal and collaborative optimization module, a data sharing and display platform and a system operation and maintenance management module. A high-concurrency and low-delay data exchange technology and a micro-service architecture are introduced, so that the expandability, maintainability and concurrent processing capacity of the system are remarkably improved, the high-concurrency requirement is effectively met, and delay and faults are reduced. The design of the double-supervision cooperation module realizes the close cooperation between the land control center and the maritime institution, and improves the efficiency of joint patrol and emergency response through a special information interaction protocol and a service cooperation interface. The ship monitoring and risk early warning module can evaluate the collision risk in real time and give out combined early warning, and the safety supervision capability is enhanced.

The invention discloses a digitized collaborative management and control platform and method for a highway roadbed slope, and belongs to the field of highway engineering. The method comprises the steps that a three-dimensional geological information model of the highway roadbed slope is constructed; sensing and fusing multi-source heterogeneous data; intelligent analysis and early warning are realized; co-processing and closed-loop management; optimization and self-learning of a machine learning algorithm model; and visualizing the slope of the whole highway. According to the invention, through the AI algorithm, the conversion from manual interpretation to intelligent prediction is realized, the early warning time is advanced, and passive response is changed into active prevention and control. According to the invention, information sharing and business collaboration are realized through process driving, and the emergency disposal efficiency is greatly improved. Visual and scientific decision support is provided for slope state evaluation and treatment scheme making based on the digital twinborn model and the multi-source fusion data, and dependence on human experience is reduced. According to the invention, a complete slope electronic health record is established, a data basis is provided for long-term performance evaluation and maintenance planning of the slope, and full-life-cycle management of assets is realized.

The invention relates to the technical field of collaborative management, in particular to a business collaboration method based on a process engine, which comprises the following steps: acquiring approval process nodes and post fields, establishing node parameter mapping, extracting customer reconciliation process field paths, generating a field coverage set, analyzing contract archiving responsibility actions, and constructing a responsibility sequence link. And matching a financial reimbursement process cooperation path, correcting an offset node to generate a cooperation task flow, calculating an internal instruction process node priority, and generating a task triggering list. According to the method, the node fields and the role identifiers in the approval process are obtained, the field consistency mapping relation is constructed, and a field continuous path screening mechanism is combined, so that the penetrating power and the tracing accuracy of parameters among cross-process nodes are improved, and the sequence of node responsibilities has a verifiable logic chain; through a node offset detection and path connectivity construction mode, accurate task execution sequence control is provided in multi-source task scheduling.

The invention discloses a port production operation deviation analysis and adjustment system based on port digitization, which relates to the technical field of operation regulation and control and comprises a data acquisition module, a deviation analysis module, a planning and adjustment module and a feedback optimization module. The problems of weak spatio-temporal data analysis capability, port congestion and lack of dynamic shunting schemes in port operation are solved, port production operation information is extracted in a unified manner through the data acquisition module, cross-system data sharing and business collaboration are realized, and a port spatio-temporal knowledge graph is constructed through the deviation analysis module, so that the port production operation information is analyzed. According to the method, the production operation deviation condition of the port equipment is analyzed, the propagation law and influence factors of the congestion state of the port equipment in time and space are obtained, a port equipment planning and adjusting scheme is dynamically generated through a planning and adjusting module, ship scheduling, resource coordination and path planning are regulated and controlled respectively, and the scheduling efficiency is improved. And evaluating the port dynamic shunting application effect through a feedback optimization module, and carrying out adaptive growth iterative optimization.

The invention discloses an intelligent old-age care service construction method based on a Fabric block chain and big data AI, and the method comprises the following steps: S1, collecting multi-source heterogeneous data of old people, and carrying out the standardization processing of the data; s2, performing classified storage on the standardized data processed in the step S1 on the basis of a Hyperledger Fabric block chain and an IPFS (Internet Protocol File System) distributed network; s3, constructing a multi-modal AI health early warning and decision model architecture, analyzing the standardized data stored in the step S2, and generating a health risk early warning and personalized nursing scheme; s4, cross-institution data authorization sharing is carried out through the block chain smart contract, an automatic process triggering rule of the smart contract is preset, and cross-institution real-time data sharing and business collaboration are carried out; and S5, configuring an aging-suitable interaction terminal, receiving health risk early warning, a personalized nursing scheme and a business cooperation event process in real time, capturing user interaction operation, and returning operation data to the step S3 to perform AI model optimization on the multi-mode AI health early warning and decision model architecture.

The invention discloses a method for constructing a whole-process connection logic model of power grid equipment, and belongs to the technical field of power system engineering. The method is implemented through the four steps of primary equipment information integration, model construction and improvement, model programming test and model conversion tool development. By constructing the basic data base and the standard data model, data standardization and service normalization are achieved, the deep problem of cross-professional business collaboration is solved, and the requirement of a company for data sharing is met. The standardized data management can greatly improve the efficiency and accuracy of data exchange, and effectively support the cooperative work of different business departments. A data center is taken as a core, an integrated data service is constructed, a data supply link is optimized, the communication of the whole process of equipment and the intelligent improvement of customer service are supported, and the transformation of enterprises to digitization is promoted.

The invention is suitable for the technical field of intelligent property management, and provides an intelligent property management system based on multi-technology fusion, which comprises an infrastructure module, a user access module, a data fusion module, a data support module, an intelligent property module and an intelligent decision module. The infrastructure module collects data through equipment such as a sensor and performs edge calculation preprocessing; the user access module provides a multi-port entrance and adopts unified identity authentication and authorization; the data fusion module integrates multi-source heterogeneous data and constructs a user portrait; the data support module realizes distributed data storage and standardized management; the intelligent property management module integrates multiple management functions and realizes automation of a business process; and the intelligent decision-making module performs fault prediction, demand analysis and the like by using data analysis and machine learning. According to the invention, information islands are broken, the equipment monitoring capability and the service individuation level are improved, data sharing and business collaboration are realized, the management efficiency is improved, the cost is reduced, and intelligent decision support is provided for property management.

The invention provides a process digital collaborative management method and system based on a data unified exchange platform, and belongs to the technical field of industrial software and intelligent manufacturing, and the method comprises the steps: constructing the data unified exchange platform, so as to achieve the data exchange among a process management system, a PLM system and a production management system; in the process management system, based on the EBOM obtained from the PLM system, constructing and managing a multi-state process BOM including a basic PBOM, a trial-production PBOM and a production PBOM; and a collaboration mechanism is constructed through a data unified exchange platform, so that business collaboration based on the multi-state process BOM is realized. According to the method, the problems of data consistency and flow collaboration which troubles the manufacturing industry for a long time are solved, and key technical support is provided for enterprises to realize digital transformation and intelligent upgrading through efficiency improvement, quality guarantee, cost control and knowledge precipitation.

The invention discloses a remote centralized control intelligent management system based on network interaction, and relates to the field of power grid management systems, and the system comprises an upper scheduling module, a data sharing and business cooperation module, a centralized control center intelligent scheduling command interaction module, a client module, a monitoring module and a water scheduling automation module. The upper scheduling module is in data communication with the centralized control center intelligent scheduling command interaction module through the data sharing and collaboration module; the centralized control center intelligent dispatching command interaction module is connected with the client module through the workstation; the monitoring module transmits power station graph real-time data and a power station model to the centralized control center intelligent dispatching command interaction module; and the water dispatching automation module is connected with the centralized control center intelligent dispatching command interaction module for data sharing. According to the invention, the dispatching information is input into the system through the network command issuing system, and business collaboration among all levels of dispatching, the centralized control center and the power station is realized in the system, so that the stability and the high efficiency of power grid management are improved.

The invention relates to the technical field of data processing, and provides an information generation method and device, electronic equipment and a storage medium, and the method comprises the steps: retrieving candidate data related to a query request of a user from a multi-source heterogeneous data source, and distributing an authority level for a data source corresponding to each candidate data; determining the data source with the highest authority level from the data sources corresponding to the candidate data with the conflicts, and initiating a verification request to the data source with the highest authority level, so that the data source with the highest authority level returns the latest version data for the candidate data with the conflicts; updating candidate data with conflicts according to the latest version data; and generating business cooperation information of the query request based on the updated candidate data and the candidate data without conflicts. According to the method, the conflict data is updated through the data source with the highest authority level, so that logic contradictions and numerical illusion caused by data timeliness lag or incapability of judging authenticity of the data are avoided.

The invention provides a method and a system for improving scalability of a micro-service, a medium and a processor, focuses on the problems of idle and waste of resources, blocked business collaboration and the like faced by a micro-service architecture, and provides the method for improving scalability of the micro-service. Micro-services are deployed on different cloud platforms according to business types to construct a multi-cloud architecture, and the deployment is optimized by using a quantization formula; performing hierarchical design on the micro-service and elastically storing data; deploying a Sidecar agent to form a service grid to manage communication; the system is monitored in an omnibearing manner, and micro-service instances are automatically expanded The method effectively improves the resource utilization rate, reduces the cost, and enhances the system performance and stability. Meanwhile, the invention further relates to a system applying the method, a computer readable storage medium and a processor, and an effective scheme is provided for solving the problem of micro-service scalability in the field of software development.

The invention discloses a digital twinborn simulation optimization system and method for mining dilution rate and loss rate, relates to the technical field of digital mines, and solves the problem of isolated operation of geology, production and automation subsystems in a traditional system by fusing a geologic model and a production model in a unified platform. And an integrated intelligent system with data intercommunication and business collaboration is formed. And the management of the dilution rate and the loss rate is changed from the traditional post statistics to the instantaneous perception and the abnormal diagnosis based on the real-time data, so that the online monitoring and the active intervention of the production process are realized, and the resource waste is reduced. Parallel deduction and multi-objective optimization are carried out on multiple schemes through a simulation engine, and a global optimal scientific decision scheme under multiple objectives can be provided. Through real-time feedback of an execution result, the twin mining area model is continuously calibrated and optimized, the defect that the precision of a traditional static model is attenuated along with time is overcome, and a reliable basis is provided for long-term optimization.

The invention provides a civil aviation data processing system and method and electronic equipment, and the system comprises a data collection module which is used for obtaining various civil aviation operation data; the flight planning module is used for determining a flight plan based on the real-time operation data; the simulation operation module is used for calculating operation index data according to the historical operation data and the flight plan; the analysis module is used for generating an operation index increment corresponding to the operation index data and calculating a total state increment based on the operation index increment; and the feedback optimization module is used for controlling the analysis module to update the total state increment based on the operation index increment when the total state increment does not meet the preset threshold range, so that the updated total state increment meets the preset threshold range. According to the method, data fusion and linkage processing in multiple business fields are realized, information islands are eliminated, cross-department data sharing and business collaboration are realized, the total state increment can be automatically iteratively updated, and the timeliness and accuracy of civil aviation data processing are improved.

The invention discloses a real-time remote collaboration method and system for a three-dimensional factory design collaboration platform, and relates to the technical field of three-dimensional model collaboration design. The method comprises the following steps: responding to a storage operation of a local design user, and writing model data into a local three-dimensional design database; monitoring a write-in request of the three-dimensional design database in real time, and synchronously storing the model data to a platform database; dividing the model data into data blocks, and analyzing the data blocks based on a combined analyzer; comparing the identifier with the incremental updating record, and screening out the unsynchronized data blocks; transmitting the incremental data block to a remote server through a special link; and the remote server writes the incremental data into a remote three-dimensional design database and updates the model view. The method aims at eliminating the forced dependence of a traditional three-dimensional design platform on a business cooperation module, and meanwhile the design collision problem caused by cross-region synchronization delay is solved. And full-process real-time collaboration of three-dimensional design is realized, and a high-reliability collaboration base is provided for energy, chemical engineering and other major projects.

The invention relates to a heterogeneous system business collaboration method and device based on design change, the device comprises a data operation module, a judgment module, an external timing module and a trigger module, and the method comprises the following steps: changing data management and business logic of business collaboration according to the design; a design change business collaboration process is divided into three stages, namely a technical scheme stage, an information internal transmission stage and an information external transmission stage, and in different stages, in heterogeneous environments of different application systems and databases, relevant identifiers completed by closed loops or nodes of all stages set by the device are adopted to trigger to enter a subsequent business collaboration stage, so that the business collaboration efficiency is improved. And transmission of design change information among different application systems, different departments or external benefit parties is completed. According to the method and the system, design change information cross-department and information transmission with external benefit parties in a heterogeneous application system environment are realized, errors or delay possibly caused by manual operation is avoided, the product quality is improved, and the product cost is reduced.

The present application relates to the technical field of power system resource optimization scheduling, and particularly relates to a deep scheduling method and system for deep peak regulation of coal-fired units, which comprises the following steps: collecting multi-dimensional operation parameters of the unit, deep peak regulation instructions and carbon price signals of the carbon emission trading market, and realizing timestamp alignment; constructing a five-dimensional safety constraint model associated with the economic cost boundary; taking the maximization of peak regulation income as the target, constructing an objective function by fusing the coal purchase cost, carbon trading cost and equipment maintenance cost, solving the economic scheduling scheme by using a dynamic programming algorithm, and executing a cross-system collaborative strategy; based on the LSTM, predicting the equipment life and digital twin simulation, and triggering the cross-system correction strategy. The present application solves the business collaboration problem of economy, environmental protection and equipment reliability in deep peak regulation, and realizes the maximization of peak regulation income of coal-fired units under the power market environment.

This invention provides a universal interface and application integration method based on multiple factories and applications, belonging to the field of enterprise application integration technology. This universal interface addresses problems such as inconsistent protocols, inconsistent data standards, poor scalability, and low synchronization efficiency in the integration of heterogeneous application systems between the headquarters and multiple factory sites of a group enterprise. This invention constructs a three-layer integration architecture, establishes a standardized master data system, designs a universal interface gateway, and configures flexible data interaction rules to achieve efficient data sharing and business collaboration across levels and systems. Through standardized encapsulation, multi-protocol adaptation, intelligent routing, and dynamic synchronization strategies, this invention reduces the development and maintenance costs of system integration, improves integration flexibility and data transmission efficiency, and ensures data security and consistency, making it suitable for the application integration needs of group enterprises in multiple scenarios.

The invention provides a quality data multi-index cross-domain NLP enhanced retrieval and computing power sharing method, which comprises the following steps of: establishing a group headquarter cross-domain quality intelligent platform as a central nervous, and configuring an intelligent retrieval service and data exchange engine basic capability unit for each hierarchical subject; secondly, the basic-level quality management system is connected to the quality intelligent service system to form hierarchical association; and finally, realizing cross-domain retrieval and computing power sharing through intelligent identification, matching functions and cross-node data transmission. According to the method, the data integration problem is solved through the quality information exchange directory, and comprehensive integration and efficient utilization of the quality data are realized; the service collaboration problem is solved through cross-domain data interaction and collaboration, and the collaboration efficiency and the product quality control precision are improved; the technical adaptation problem is solved by deploying a platform and an engine and sharing basic computing power, and stable interaction of data and deep application of the AI technology are guaranteed.

The application discloses a multi-source data fusion processing platform and method supporting energy business cooperation, relates to the technical field of data processing, and comprises the following steps: connecting a multi-source data end side, identifying a first group of mapping data sources of energy business cooperation; identifying a historical data source failure probability of the first group of mapping data sources, obtaining a first group of failure probabilities, inputting the first group of failure probabilities into a data fusion influence degree identification model for analysis, and obtaining a data fusion influence degree index; when the data fusion influence degree index is greater than a preset influence degree threshold, a second group of mapping data sources of energy business cooperation is identified, and is configured as an equivalent data pair of the first group of mapping data sources; multi-source data pairs based on the equivalent data pair are subjected to data fusion processing, and a fusion database is obtained. The application solves the technical problem that the fusion result deviation caused by the insufficient reliability of multi-source data in the prior art cannot guarantee the stability of energy business cooperation, and achieves the technical effects of guaranteeing the stability of fusion data and the continuity of business cooperation.

The invention discloses a highway networking charging management and information resource wide-area fusion scheduling system, relates to the technical field of intelligent traffic charging management, and constructs a highway networking charging management architecture with multi-level management from top to bottom in a management area, and establishes mutual access channels through a cloud service network. The global center management node supervises the working state of each resource scheduling management node, overall plans business cooperation among the resource scheduling management nodes according to the working state, and issues a scheduling instruction to each resource scheduling management node; the resource scheduling management nodes are mutually standby nodes, the corresponding toll lane systems and cloud seats are managed according to scheduling instructions, a road network resource scheduling management network is generated and maintained, the toll lane systems provide services for users passing through toll lanes of a toll plaza, and the cloud seats are used for remotely receiving and processing manual service requests. Through cross-regional scheduling and multi-warehouse mutual backup of the human resources, comprehensive clouding and unified scheduling of the computing resources and the human resources are realized.

The invention discloses a wireless analysis information processing method and device, equipment, a medium and a program product. The method comprises the following steps: receiving first request information sent by a first network function through a near real-time wireless intelligent controller; wherein the first request information carries a target parameter, and the target parameter comprises a first identifier of the user equipment, a wireless analysis information type and a PDU session identifier of the user equipment; generating wireless analysis information matched with the target parameter according to the first request information; and sending the wireless analysis information to the first network function. By adopting the method and the device, the wireless analysis information can be provided for the target service of a single user, finer network industry collaboration is realized, the user experience is improved, and the wireless resource utilization rate is optimized.

Embodiments of the present application disclose a data processing method and device, computer equipment and a storage medium, comprising: obtaining a first data transmission request for a business collaboration document; the first data transmission request carries a document permission identifier and a transmission connection identifier; the document permission identifier is identifier information determined based on a business object for the document permission of the business collaboration document; the transmission connection identifier refers to identifier information corresponding to a first block transmission channel established for the business object; based on the document permission identifier and the transmission connection identifier, performing permission verification on the business object to obtain a first verification result; when the first verification result indicates that the business object has legal permission, setting a transmission maintenance period for the first data transmission request, and executing a document operation corresponding to the first data transmission request within the transmission maintenance period, generating a business document message associated with the document operation, and returning to the business object. By adopting the embodiments of the present application, resource consumption can be reduced.

This embodiment of the specification specifically discloses a business collaboration processing method, device, medium, and equipment based on privacy protection. The method includes: obtaining a coordinated public sequence; the coordinated public sequence refers to the sequence publicly disclosed after processing a coordinated privacy sequence using a position scrambling algorithm; the coordinated privacy sequence is used to represent, in ciphertext form, the element position adjustment method of a basic privacy sequence; using the position scrambling algorithm to scramble the positions of the elements in each slice of the initial target privacy sequence held by a specified business party in the initial target privacy sequence to obtain an intermediate target privacy sequence slice; performing position adjustment on the intermediate target privacy sequence slice using the coordinated public sequence to obtain a target privacy sequence slice with updated positions; jointly with other business parties in business collaboration processing, at least performing business collaboration processing under privacy protection using the target privacy sequence slices with updated positions held by each business party.