44 results about "Investigation methods" patented technology

The invention relates to the field of artificial intelligence, discloses a full-duty investigation method and system based on a large model hierarchical agent architecture, and aims to solve the problems of efficiency bottleneck, knowledge blind areas, data stream solidification and the like in existing full-duty investigation. The method comprises the steps that a central task planning agent receives an instruction and decomposes and dynamically reconstructs a task; the agent modules in each field refine tasks and cooperatively analyze multi-source data; the central evidence management agent constructs a global evidence chain; the central report generation agent generates a report. The system comprises a central task planning module, a plurality of fields, a central evidence management module and a central report generation agent module. According to the technical scheme, intelligence, efficiency and depth of full-duty investigation can be remarkably improved, existing problems are solved, and through dynamic task reconstruction, knowledge fusion, evidence verification and full-link traceability, conclusion objectivity and reliability are improved, and systematic risks are reduced.

The invention discloses a double-path verifiable threshold signature-based block chain right confirmation and responsibility investigation method, which comprises the following steps of: S1, receiving right confirmation data, processing the data to obtain normalized data, and calculating a data abstract of the normalized data; submitting the data abstract and the associated information thereof to a block chain for evidence storage to form a right confirmation request record; s2, in response to the right confirmation request record, selecting a committee member set from candidate nodes based on a preset strategy, and cooperatively generating a global public key and a private key share corresponding to each committee member by the committee member set through a distributed key generation protocol; and S3, each committee member generates a partial signature for the data abstract by using the private key share of the committee member, and generates a verifiable proof for proving the correctness of the calculation process of the partial signature of the committee member at the same time. According to the invention, independent verification and accurate responsibility tracing of individual signature behaviors of committee members can be realized.

In order to prevent a CRC from having an excessive work burden and also to reduce the likelihood of burden on a subject, and to improve efficiency of survival investigation, this survival confirmation investigation system for confirming the survival of a subject in a clinical trial generates a clinical trial project conforming to a clinical trial protocol, sets a predetermined distribution schedule for each subject on the basis of the clinical trial project, distributes a confirmation message for the subject relating to survival confirmation of the subject and a multiple-choice question on the basis of the distribution schedule, acquires an answer to the question, and manages the answer for each subject.

To provide a fund use investigation device that can efficiently and reliably trace the flow of funds related to a green project to prevent greenwashing with appropriate accuracy.SOLUTION: A fund use investigation device 100 comprises: a storage 101 that holds the history of circulation of digital currencies issued in relation to a green project; and an arithmetic unit 104 that executes processing of extracting, from the circulation history, information on processing of converting the digital currencies into cash in persons involved in the green project to calculate the ratio of conversion of the digital currencies into cash in each of the persons involved, and processing of outputting information on the persons involved with the ratio of conversion into cash exceeding a reference as information on the risk that the digital currencies are used out of the purpose of use.SELECTED DRAWING: Figure 2

The invention relates to the field of territorial investigation technology and artificial intelligence application technology, in particular to a territorial intelligent investigation method and system based on multi-source remote sensing fusion and AI collaboration, and the method comprises the steps: obtaining multi-source remote sensing data and auxiliary data, carrying out the preprocessing, extracting meta-information, carrying out the time phase-semantic double-constraint fusion, and obtaining a fusion image; according to the fused image and the auxiliary information, land type identification and land utilization change detection are carried out through a constructed semantic enhancement type adaptive AI model, suspicious pattern spots are marked, and optimization training is carried out on the semantic enhancement type adaptive AI model through real-time incremental learning; according to the suspicious pattern spots, pattern spot tasks are generated, AR live-action linkage type interior work and field work real-time collaborative operation is carried out, and knowledge graph driven investigation result standardization management is carried out. According to the scheme, the precision, efficiency and data utilization rate of land intelligent investigation are improved.

The invention provides a multifunctional field geological survey portable cart, and relates to the technical field of field geological survey, the multifunctional field geological survey portable cart comprises a survey storage box, the rear end face of the survey storage box is provided with a rear support frame, the upper end face of the survey storage box is provided with a tablet personal computer, and the survey storage box is internally provided with an auxiliary survey assembly. An auxiliary damping assembly is arranged between the rear supporting frame and the investigation storage box, through the design of the auxiliary damping assembly, a working platform and a moving platform in the equipment are separated, so that the influence of vibration generated in the field dragging and moving process on the equipment is reduced, through the arrangement of the auxiliary damping assembly, multiple investigation means are combined, and the investigation efficiency is improved. According to the field geological survey device, the data are integrated into a working platform, so that the device is convenient to carry and store, real-time data acquisition, fusion and analysis are realized, the efficiency and the intelligent level of field geological survey are greatly improved, and the practicability is high.

The invention relates to an industrial hidden danger troubleshooting method and system based on visual identification, relates to the technical field of industrial safety production management, and aims to construct hierarchical feature extraction-dynamic association fusion-whole process closed-loop management and deploy a multi-level industrial hidden danger visual identification model. The basic and multi-scale feature extraction layer cooperatively obtains global, microscopic and multi-scale features; the spatial correlation fusion layer integrates the multi-source features through dynamic weighting to form industrial hidden danger characterization features; and the fault decision-making layer outputs a target fault type, carries out linkage rectification and generates a troubleshooting report. The system solves the limitation of an existing system, gives consideration to macro and micro features, improves the adaptability to hidden dangers of different sizes, achieves the full-process digital closed loop from detection to treatment, and meets the core demands of industrial hidden danger investigation.

The invention discloses a power equipment operation hidden danger troubleshooting method, which comprises the following steps: S1, multi-source data acquisition and integration: acquiring multi-dimensional data covering the full life cycle of equipment, and forming a structured database by adopting a data cleaning technology; s2, big data intelligent analysis: based on the data pool, adopting machine learning and statistical analysis technologies to identify hidden dangers and predict fault risks in advance; s3, troubleshooting execution based on big data: according to early warning information output by big data analysis and priorities thereof, directly guiding daily inspection, professional detection and special troubleshooting of the equipment; s4, performing big data enabling closed-loop management: performing progress tracking, effect verification and experience precipitation on troubleshooting execution projects by adopting a big data analysis technology, and realizing intelligently upgraded operation hidden danger troubleshooting closed-loop management; the method has the advantages of being good in troubleshooting effect, accurate in troubleshooting result, high in troubleshooting efficiency and capable of guaranteeing the long-term use effect, and long-term safe and stable operation of the power equipment can be effectively guaranteed.

The application discloses a tobacco retail market network case investigation method and related equipment, and the method ensures the timeliness and quality of multi-source data through hierarchical heterogeneous collection and credibility analysis; time sequence fusion and abnormality identification are carried out in a unified space-time framework, and real-time processing of dynamic inflow data can be realized; a dynamic network portrait is constructed and continuously updated based on the abnormality identification result, evolution analysis of a gang structure and a core node is realized, and the limitation of static knowledge reasoning can be broken through; finally, actual investigation results are used as negative feedback labels to optimize the model, a closed-loop system with self-iterative adjustment capability is formed, and the adaptability and accuracy of case investigation are significantly improved, so that the method can be widely applied to the technical field of data processing.

The invention discloses a meteorological science popularization work evaluation index system construction method. The method comprises the following steps: construction of an expert investigation method and an initial index library: adopting the expert investigation method to construct the initial index library; two-dimensional validity screening: introducing a consensus degree-concentration degree two-dimensional validity screening model, and establishing a two-dimensional screening matrix by calculating an average score M and a variable coefficient CV of each index; aHP-entropy weight method combined weighting: obtaining a subjective weight through an AHP analytic hierarchy process, obtaining an objective weight in combination with an entropy weight method, and then carrying out linear weighting combined weighting; nondimensionalization: performing annual data collection on the quantitative indexes, calculating quartile and range, and performing 10-score questionnaire and linear conversion on the qualitative indexes into 1-5 scores; a Pearson's correlation coefficient matrix is calculated through index correlation analysis, if the two indexes are highly correlated and reflect the same problem, one of the indexes is merged or deleted, and if different problems are reflected, the two indexes are reserved; and performing dynamic adjustment and case verification.

The invention provides a vulnerability information checking method, device, equipment and system. The method comprises the following steps: receiving a vulnerability checking request, wherein the vulnerability checking request is generated based on vulnerability intelligence information of an open source component acquired by a production side; according to information of a to-be-checked vulnerability in the vulnerability checking request, creating a checking task on a research and development side; and calling a software material security tool integrated on a research and development side to enable the software material security tool to retrieve a created software component dependency information base according to the troubleshooting task, and determining a code block influenced by the vulnerability to be troubleshot. Wherein an SBOM of a research and development state software project of a research and development side is stored in the software component dependency information base, and the SBOM is generated by calling the software material safety tool. Through the method, quick checking and positioning of vulnerability information are realized, and artificial missing report is avoided.

The invention relates to a social security case-oriented suspect investigation method and system, a processing device and a storage medium, and is characterized in that the method comprises the following steps: on the basis of a pre-established social security case suspect element feature index system and a matching degree calculation rule of the characteristics of a suspect and a harmer of a social security case, according to case information, calculating a matching degree of the suspect and the harmer of the social security case; determining the suspicion degree of each suspect; sorting the suspicion degree of each suspect, and further determining a suspicious target; the matching degree calculation rule of the characteristics of the suspect and the harmer of the social security case is established based on a pre-established social security case suspect element characteristic index system by adopting a fuzzy multi-criterion decision-making method, and the method can be widely applied to the scientific field of criminal investigation and criminal analysis.

The embodiment of the invention provides an appearance information generation method of a building investigation object, and a building investigation method and equipment. The appearance information generation method of the building investigation object comprises the following steps: obtaining investigation object information of at least one investigation object to be investigated in a building and influence factor information influencing the appearance of the investigation object; and determining appearance information of the at least one investigation object according to the investigation object information and the influence factor information. Therefore, the efficiency and the accuracy of generating the appearance information of the reconnaissance object can be improved, so that the building reconnaissance efficiency is improved, and the reconnaissance cost is saved.

The invention relates to the technical field of gas pipe network safety management, in particular to a standard knowledge-driven automatic gas hidden danger troubleshooting method. The method comprises the following steps: carrying out knowledge atomization processing on a fuel gas safety standard text, decomposing the fuel gas safety standard text into knowledge atoms which cannot be divided and mapping the knowledge atoms to a pre-established ontology category; the knowledge atoms are converted into machine-readable condition-action rules through rule templating; identifying scene objects from the multi-source data, extracting elements of the scene objects, and classifying the elements into a unified ontology system; a space-time cube coordinate system fusing time, space and semantic dimensions is constructed, and multi-dimensional alignment matching of scene elements and standard knowledge atoms is achieved; and automatically triggering a hidden danger checking task based on a matching result, generating a task list after multi-source cross validation, and assigning and executing the task list. According to the method, the computability and the dynamic recombination of the standard knowledge are realized, the automation degree and the judgment accuracy of hidden danger checking are improved, and the technical problem that multi-source data fusion and rule execution depend on manpower is effectively solved.

The application discloses a kind of based on knowledge graph's mine safety hidden danger intelligent investigation method and system, specifically related to knowledge graph and mine safety information technology field, for solving the problem that the existing hidden danger investigation method based on static knowledge graph cannot follow underground space topology dynamic change and lead to inaccurate reasoning.By obtaining the mine multi-source dynamic data containing sensor data and mining plan, analyzing and identifying the cooperative state change event representing space topology evolution, and comparing the dynamic event subgraph based on this with the static knowledge subgraph extracted from the preset knowledge graph to identify the conflict relationship, then combining the mining plan to verify and correct the conflict relationship to generate the space topology update relationship, finally updating the mine safety knowledge graph in real time according to the update relationship, and based on the updated graph, the safety hidden danger reasoning of real-time monitoring data is carried out, so as to realize the synchronization of knowledge graph and dynamic production environment and the accurate investigation of hidden danger.

Systems and methods for blockchain value transfers including receiving at the server a plurality of transaction requests, each transaction request including sending and receiving user account addresses on first and second blockchain networks, a transaction value in in-network tokens, and an API request, performing a balance check procedure on each transaction request including determining if the transaction value is greater than a permitted transaction amount of the sending user account address, and either refusing the transaction or adding the transaction to an aggregate transaction record. The permitted transaction is updated for the sending and receiving addresses to reflect the transaction and a transaction including calculating a net transaction amount is initiated.

The invention relates to the field of large language models, and discloses a character deep investigation method and system based on identity feature driving, equipment and a medium, and the method comprises the steps: carrying out the deep binding and dynamic matching of the nationality, occupation and other identity features of an investigation target with a specific investigation strategy; according to the method, the automatic matching of the investigation strategy can be performed based on the identity characteristics of the investigation target and the input investigation dimension, the defects of wide data source selection and single analysis dimension caused by the adoption of a single universal template in the prior art are overcome, the investigation scheme can be dynamically decided for figures with different identity types, the high-value information source can be more accurately achieved, and the research efficiency is improved. The correlation and accuracy of information acquisition are effectively improved, refinement and adaptive task arrangement based on identity features are realized, and the quality of an investigation report is greatly improved.

Systems and methods of blockchain value transfer utilizing a smart contract system including processing transaction requests, performing a balance check procedure on each transaction request based on an aggregation of credits and debits, determining by the smart contract system a net transaction amount for each account address comprised by an aggregate transaction record, and executing the net transaction amount for each account address by transacting tokens to and from the account addresses and receiving account addresses included in the transaction requests upon reaching an execution condition.

The embodiment of the invention provides a full-duty investigation method and device based on a large model agent, equipment and a medium, relates to the technical field of artificial intelligence, and is used for improving the full-duty investigation efficiency and the report quality. The method comprises the following steps: in response to a full-duty investigation request for a target object, obtaining an object identifier of the target object; on the basis of the object identification and the cue word template, cue words are constructed, the cue words comprise a task target of a large model agent and an exhaustion reasoning basis, step-by-step reasoning is carried out on a reference historical exhaustion case set according to the exhaustion reasoning basis, each historical exhaustion case in the historical exhaustion case set is a case for carrying out exhaustion on a corresponding historical object, and each historical exhaustion case in the historical exhaustion case set is a case for carrying out exhaustion on a corresponding historical object; each historical exhaustion scheduling case comprises multi-dimensional information of a corresponding historical object, an exhaustion scheduling tool calling record and an exhaustion scheduling reasoning process; and inputting the cue word and the historical exhaustion call case set into the large model agent to obtain an exhaustion call report of the target object, the exhaustion call report comprising a risk level of the target object, a level evaluation basis and an exhaustion call result.

A high-end talent background investigation method for full-cycle employment risk management and control comprises the following steps: step 1, verifying identities, educational background and legal dispute record information of applicants by searching network public information, an educational information network and a legal document network; 2, directional crawling is carried out on news websites, social media, forums, blogs and the like through a web crawler tool Scrapy, public opinion information of applicants in past work is searched for through a public opinion monitoring system, then TF-IDF feature extraction is carried out on texts, and the TF-IDF features of the texts are extracted; and carrying out positive public opinion classification, negative public opinion classification and neutral public opinion classification on the extracted data by adopting a support vector machine algorithm so as to evaluate positive or negative influences of applicants on past enterprises. According to the invention, background investigation can be comprehensively carried out on the applicants in multiple dimensions, so that enterprises can truly and objectively know the applicants, and the recruitment efficiency of the enterprises is improved.

The embodiment of the invention provides an entity investigation method and device based on an agent, a medium and a program product, and relates to the technical field of network security. According to the embodiment of the invention, each to-be-investigated entity in the to-be-investigated entity queue is traversed, the investigation chain from the root entity of the current to-be-investigated entity to the current to-be-investigated entity is constructed according to the to-be-investigated entity map, and the target information of the current to-be-investigated entity is acquired based on the investigation chain. And inputting the target information into the target agent for network security investigation to obtain a network security investigation result of the current entity to be investigated, and after an end condition is met, ending traversing the queue of the entities to be investigated, so that the entity to be investigated can be investigated according to the target information of each target entity covering the investigation chain of the entities to be investigated by the application agent. And performing full-link network security investigation on the entity to be investigated, thereby comprehensively and accurately investigating the network attack in the entity by using the intelligent agent.

The invention discloses a bank individual customer all-line risk-controllable intelligent account opening and end calling method and a bank individual customer all-line risk-controllable intelligent account opening and end calling system. Comprising the following steps of application initiation, identity verification, hierarchical risk decision making and comprehensive decision making and real-time feedback. The invention further provides an intelligent account opening and complete dispatching system capable of controlling the whole-line risk of the bank individual customers, and a high-availability and low-coupling micro-service architecture is adopted. The technical contradiction that a commercial bank is difficult to balance between optimization of customer service experience and enhancement of account risk management is solved, and the defects that in the prior art, efficiency is low, the risk identification capacity is weak, the process is not fully online, and the identity verification means is single are overcome.

This invention relates to the field of intelligent inspection and image analysis technology, and discloses an intelligent hazard investigation method and system based on image recognition. The method includes establishing a hazard knowledge network representing the correlation between hazard types, features, and causes. Hazard images are collected during inspections and input into the network. Hazard entities are extracted, and their features are matched with hazard features in the network. Network reasoning is used to obtain the associated hazard types and causes. Hazard probabilities are calculated based on the correlation strength of causes. Intelligent investigation tasks bound to locations are generated and output based on a comparison of the probability and a threshold to guide targeted investigations. Finally, the correlation relationships in the hazard knowledge network are optimized based on feedback from on-site verification of the tasks. This invention achieves intelligent hazard identification and cause reasoning through a knowledge network, and optimizes the network using a closed-loop business feedback mechanism, improving the intelligence depth of hazard investigation and the system's adaptability.

The application discloses a kind of traffic safety hidden danger space-time investigation methods based on regional highway digitization, its steps include:1, determine research area, and the research area is divided into multiple same size grid, and grid is used as research unit;2, obtain the number of accident data and safety hidden danger data in each grid;3, establish the local model of space and time of traffic accident;4, the safety hidden danger that most influences traffic accident in each hour is calculated by algorithm;5, the safety hidden danger that most influences traffic accident in each grid is calculated by algorithm.The application studies the relationship between traffic accident and safety hidden danger in grid, then determines the safety hidden danger that influences traffic accident seriously in each hour and grid, and comprehensively considers the space-time characteristics of safety hidden danger, so that more accurate factors closely related to traffic safety can be found out, to provide more targeted suggestions for traffic management and planning.

The invention relates to an epidemiological investigation method and system based on a large language model, and belongs to the technical field of public health information.The epidemiological investigation method comprises the steps that a structured knowledge base is constructed, and preprocessing, structured disassembly and feature extraction are conducted on multiple types of field data to form standardized data; fusing the processed data with a knowledge graph of a knowledge base, mining potential associated clues, inferring pathogenesis and propagation paths through a model, constructing the knowledge graph based on the knowledge base, developing an associated clue mining and pathogenesis inferring algorithm, training and optimizing the model through case data, and forming the knowledge graph covering event elements and causal relationships. According to the method, implicit experience dominance is realized, grassroots flow dispatchers can also achieve the clue capturing ability of qualified experts, and the working gap of flow dispatchers with different experience levels is reduced. The response speed is increased from the hour level to the second level for retrieval matching, the emergency disposal requirements of public health emergencies are met, and time is won for epidemic prevention and control.

This invention provides a reaction investigation device, a reaction investigation program, and a reaction investigation method that make it easier to investigate how simulated personalities are affected and reacted to investigative influence information. [Solution] The reaction investigation device 2 includes a first simulated personality data acquisition unit 10 that acquires simulated personality data as first simulated personality data, a learning unit 11 that causes the simulated personality corresponding to the first simulated personality data to learn investigation influence information, a second simulated personality data acquisition unit 12 that acquires the second simulated personality data corresponding to the simulated personality after it has learned the investigation influence information, and a difference output unit 13 that outputs the difference obtained by comparing first comparison information based on the first simulated personality data and second comparison information based on the second simulated personality data.

This makes it possible to efficiently determine the usage status of the telephone numbers being surveyed. [Solution] The telephone number investigation device 10 is connected to a plurality of IP telephone terminals 50 connected to the incoming fixed IMS network 30 via the outgoing fixed IMS network 20. The device sends an INVITE request to the IP telephone terminal 50 to be investigated, adding SDP parameters to the INVITE request, and receives a response message via the outgoing fixed IMS network 20. The device determines the usage status of the telephone number of the IP telephone terminal 50 to be investigated based on the elapsed time until a response of code 404 Not Found is received.

The invention relates to the technical field of power distribution network ground fault automatic troubleshooting, and discloses a ground fault automatic troubleshooting method, system and device and a medium, and the method comprises the steps: obtaining a power distribution network topological graph, determining a plurality of candidate fault propagation paths, screening out a target fault path according to a preset constraint condition, and finally generating a ground fault troubleshooting graph, and automatic and intelligent troubleshooting of grounding faults is realized. According to the method, the problems of low efficiency and poor accuracy of a traditional manual inspection mode are solved, the fault point can be quickly and accurately positioned, and the power supply reliability is improved. Meanwhile, the method also has the functions of risk assessment and highlighted display of fault paths, so that operation and maintenance personnel can preferably process high-risk faults, and the fault processing efficiency is further improved.

The invention relates to the technical field of image recognition, and particularly discloses a piping dangerous case troubleshooting method and system based on image recognition, and the method comprises the steps: obtaining and analyzing dam hidden danger data and historical piping data, determining the initial type hidden danger data, the risk distance threshold value and the type potential risk region of each hidden danger type label, and determining the type potential risk region of each hidden danger type label; determining an initial potential risk area of the dam to be checked and optimizing the initial potential risk area; determining isolated piping data, a plurality of troubleshooting type hidden danger data, a plurality of merging type data and a dam potential risk area; constructing a plurality of piping dangerous case models; dam image monitoring data and dam environment monitoring data are collected; and dam dangerous case data are determined. The method can comprehensively cover hidden hidden dangers, special risks and isolated piping, avoids risk omission, accurately adapts to single and composite hidden danger scenes, improves the pertinence of dangerous case identification, strengthens the relevance and reliability of dangerous case judgment, improves the troubleshooting efficiency and precision, and achieves the global dead-corner-free prevention and control of piping dangerous cases.