20 results about "Integrity management" patented technology

The invention provides a method for evaluating the residual strength of a submarine corroded pipeline based on a stress concentration theory. The method comprises the following steps: acquiring basic parameters and corrosion defect parameters of a pipeline with corrosion defects; the ultimate bearing capacity of the complete pipeline is obtained based on the basic parameters of the pipeline with the corrosion defect; acquiring a pipeline defect coefficient according to the corrosion defect parameter, and identifying a pipeline corrosion defect type; based on the pipeline corrosion defect type and the pipeline defect coefficient, obtaining a pipeline corrosion defect stress concentration coefficient; and according to the pipeline defect coefficient and the pipeline corrosion defect stress concentration coefficient, obtaining the residual strength of the corroded pipeline so as to evaluate the safety state of the pipeline. Compared with a standard recommendation evaluation method, the method is more accurate, and more accurate decision support can be provided for pipeline integrity management.

The invention relates to the technical field of drilling and mining equipment integrity management, in particular to an RCM-based drilling and mining equipment management method and system, and the method comprises the steps: collecting and analyzing basic information through a server, and then carrying out the important degree evaluation method research and risk quantitative evaluation technology research of drilling and mining key equipment; and finally, comprehensively and quantitatively evaluating the importance degree of each part in the drilling and production key moving equipment and the risk degree of a fault mode, and providing a scientific decision for the maintenance of the drilling and production key moving equipment in combination with the actual maintenance conditions and operation characteristics of the drilling and production key moving equipment. The system comprises an acquisition module, and a sensor device, a sensor detection module, a server, an importance evaluation module, a risk evaluation module and a maintenance decision module which are in communication connection in sequence. Through the management method and system, scientific maintenance of the drilling and mining equipment can be realized.

Aspects relate to providing a low-cost, reliable rail vehicle consist integrity management technique for facilitating determination of rail vehicle consist integrity using existing railway infrastructure. A rail vehicle consist integrity management method includes transmitting, from a first vehicle of a rail vehicle consist to a second vehicle of the rail vehicle consist, a first analog signal via a power supply conductor that is disposed separately from the rail vehicle consist; determining, by analyzing a frequency of the first analog signal, a rail vehicle consist integrity state; and outputting a rail vehicle consist integrity notification that indicates the rail vehicle consist integrity state.

The invention belongs to the field of pipeline integrity management, particularly relates to a method and a system for predicting the economic service life of a pipeline, and aims to solve the problem that part of pipelines cannot be detected or do not have economy in an existing method. The method comprises the following steps: calculating maintenance compensation cost after pipeline failure in the tth year; calculating the pipeline detection and repair cost of the t-th year based on the repair number of the pipeline anti-corrosion layer of the t-th year and the reinforcement number of the pipeline body of the t-th year; calculating the total pipeline maintenance compensation cost of the t-th year based on the maintenance compensation cost after the failure of the pipeline of the t-th year and the pipeline detection and repair cost of the t-th year; calculating the updating and transformation cost of the tth year based on the total updating and transformation cost and the cost conversion period; and constructing a target function based on the total maintenance compensation cost of the pipeline in the t-th year and the updating and reconstruction cost in the t-th year, and determining the service life of the pipeline based on the target function. The residual life of the long-term service pipeline is scientifically evaluated, and the problem that the long-term service pipeline does not need to be replaced is solved.

A system for harmonizing financial data in real time across distributed ERP environments, including: a data collection module configured to continuously collect financial data from a variety of heterogeneous ERP systems distributed across on-premise, cloud, and hybrid infrastructures; a data normalization and transformation engine that is functionally coupled with the data acquisition module and configured to standardize different data formats, reconcile schema deviations, and convert financial data into a unified data model; a real-time synchronization module configured to forward updates of financial data across the multitude of ERP systems to ensure consistency and eliminate data discrepancies; a validation and integrity management module configured to verify the accuracy of financial data by applying predefined rules, constraints, and anomaly detection mechanisms; a data orchestration and control layer configured to manage the data flow between modules and optimize the processing of high-volume financial data streams; a storage layer configured to securely store harmonized financial data in at least one centralized or distributed repository; and an interface and reporting module configured to enable real-time access, visualization and reporting of harmonized financial data, the system is configured to enable continuous, consistent and real-time harmonization of financial data across distributed ERP environments.

The invention discloses a team management enabling training system, which relates to the technical field of enterprise management and specifically comprises a team management plan module, a team management equipment selection module, a team management task making module, a team management check requirement module and a primary team enabling training module. According to the invention, by effectively executing the team management daily activity plan, the working personnel of the grassroots team can realize early inspection and judgment of the production process and the equipment abnormity, timely correction is carried out through operation adjustment or simple maintenance, disastrous accidents caused by equipment defect evolution and expansion are prevented, and the working efficiency is improved. The complete process of team management tasks is formulated and implemented to assist enterprises in improving the basic management level of equipment and preventing major accidents, meanwhile, it can be effectively ensured that grassroots teams execute daily basic care activities of the equipment, equipment and production anomalies are controlled in the bud state, upgrading and expanding of tiny abnormal events are prevented, and the service life of the enterprises is prolonged. And the integrity management quality of enterprise equipment is improved.

The invention belongs to the field of power station boiler accident risk prevention and control management, and particularly relates to a power station boiler digital integrity management system and a management efficiency evaluation method. The system comprises an enterprise data center module, a boiler data center module, a pressure-bearing component risk evaluation module, a pressure-bearing component integrity evaluation module, a maintenance and decision module, an emergency management module, a safety knowledge base module, an efficiency evaluation module and a large screen display module, and the modules realize data dynamic closed-loop interaction through data ports. According to the management efficiency evaluation method, a power station boiler integrity management efficiency evaluation index system is constructed from two aspects of an integrity management process and a management effect, and a management process score is obtained by adopting a queuing theory method; obtaining a management effect score by using a data envelope analysis method; and on the basis, a result compensation coefficient is introduced to calculate a final comprehensive management efficiency score, so that the comprehensive, objective and reasonable evaluation effect is ensured.

The present invention discloses a method and device for generating a pipeline integrity management solution, which relates to the field of oilfield survey technology, and is mainly used to solve the problem of high manpower consumption in the current generation process of pipeline integrity management solutions. The method includes: training a pipeline knowledge extraction model through a preset corpus sample and a preset algorithm, wherein the preset corpus sample is obtained based on manual annotation of part of the pipeline data, and the preset algorithm is a machine learning algorithm selected based on the pipeline data type; performing knowledge extraction on the pipeline data according to the pipeline knowledge extraction model to obtain a target knowledge graph; adding data to a preset template according to the target knowledge graph to obtain a corresponding pipeline integrity management solution, wherein the preset template is determined based on the type of the pipeline integrity management solution. The present invention is used in the generation process of a pipeline integrity management solution.

The present application relates to a pipeline integrity management system based on multi-detection item configuration and data checking, wherein the system comprises a data acquisition unit, a data processing unit, a detection item configuration and task allocation unit, a data checking and report generation unit; multi-dimensional original data is acquired based on pipeline detection requirements; the multi-dimensional original data is classified and statistically processed and standardized in format to generate a structured detection data set, while personnel qualifications and detection item requirements are matched to obtain inspection team information and available identification is generated by tracking equipment status; effective data is screened based on checking results, detection items are identified, configuration lists are dynamically adapted in combination with pipeline information, task allocation and resource allocation are combined to obtain dispatching schemes and equipment scheduling plans, and directional supplementary sampling instructions are generated for abnormal items; the structured data set and the task scheme are cross-checked to automatically generate a standardized report and obtain a complete management archive. The pipeline integrity management based on multi-detection item configuration and data checking is realized.

The invention belongs to the technical field of pipeline integrity management high-consequence area identification, and particularly provides a high-consequence area identification method applied to a gas field gas production pipeline series connection pipe network, and the method comprises the steps: dividing a gas production pipeline network into a plurality of identification units according to the concentration ratio of pipelines, and dividing each identification unit into a plurality of to-be-identified areas; identifying a high-consequence area pipe section in each to-be-identified area; and high-consequence area identification of the gas production pipe network is completed. The problems that high-consequence area recognition and report making are carried out on dense and large-number gas production pipelines one by one by adopting an existing standard process, and an existing recognition unit division method is large in workload and extremely low in efficiency are solved. Attribute data of the pipelines do not need to be considered, the relatively concentrated pipelines can be divided into one recognition unit only according to the concentration degree of the pipelines, the workload is small, and the efficiency is high.

The present invention relates to a method and device for selecting samples of retail customer demand information based on customer domains, and belongs to the technical field of big data mining and customer classification management. The present invention is based on the data characteristics of two dimensions, namely, customer business characteristics and market characteristics, to perform homogeneous division of retail customers, and generate retail customer domains with common business characteristics and consumer groups; select specimens through the continuity characteristics, stability characteristics, and integrity management characteristics of operations; compositely calculate the sample comprehensive index based on the average monthly purchase volume, average monthly single value, and brand width as the characteristics, and select samples in proportion with the mean of the comprehensive index of samples of members in the domain as the center; verify the coverage of samples through historical data, recursively check, and select the optimal samples. The sample selection method of the present invention can take into account the homogeneity and representativeness of samples, ensure the coverage and comprehensiveness of the screened samples, and provide an accurate data source for subsequent data analysis.

The application discloses a pipeline ditching process girth weld vulnerability evaluation method, system, medium and equipment, and the method comprises the following steps: acquiring an index data set corresponding to the ditching mode of a pipeline to be analyzed, and determining a mathematical model corresponding to the ditching mode of the pipeline to be analyzed; analyzing the influence of personnel factors on the girth weld vulnerability in the pipeline ditching process, and determining the influence weight of the personnel factors; combining the influence weight of the personnel factors with the mathematical model to form a target function for vulnerability evaluation; solving the target function based on a single-target optimization method to obtain a vulnerability standard solution set; and differentiating and comparing the vulnerability standard solution set with the index data set to realize the vulnerability evaluation of the weld to be evaluated. The application can realize the girth weld vulnerability evaluation in the pipeline ditching process, provide a basis for the performance optimization of the girth weld of a newly-built pipeline and the reduction of the girth weld failure probability, and realize the welding data based on the construction period, so that data support can be provided for the integrity management of the girth weld of a pipeline in service.

The embodiments herein relate to integrity management of Artificial Intelligence / Machine Learning, AI / ML, based positioning. In some embodiments, there proposes a method (300) performed by a first network element (202) implementing Positioning Integrity Management Function, PIMF. In an embodiment, the method (300) may comprise the step of identifying (S301) one or more error sources. In an embodiment, the method (300) may further comprise the step of transmitting (S302) a message related to integrity for an AI / ML based positioning based on the one or more error sources to a second network element (101, 102). The message may comprise at least one of a first information element, IE, indicating an integrity alert of the AI / ML based positioning or a second IE indicating a real-time status of the AI / ML based positioning. With the embodiments herein, the PIMF may identify one or more error sources and send integrity alert to other network element for reducing the risk for positioning integrity.

The invention provides an oil and gas well pipe rod integrity management method based on a two-dimensional code and the Internet of Things technology. The method comprises the steps that a two-dimensional code position plate made of a wear-resistant and corrosion-resistant material is fixed to a preset position on the surface of an oil and gas well pipe rod; a two-dimensional code label with an information identification function is engraved on the surface of the two-dimensional code position plate by using laser through a laser etching technology; an information management file is established, and related information of the well casing is input into the information management file; the related information of the well casing is bound with the two-dimensional code label; in the links of manufacturing, transportation, use and maintenance of the oil and gas well pipe, related information of the oil and gas well pipe is obtained by scanning the two-dimensional code label on the oil and gas well pipe; related information of the oil and gas well pipes is uploaded to an information management system, and unified management and storage of well pipe information are achieved. According to the oil and gas well pipe rod integrity management method based on the two-dimensional code and the Internet of Things technology, the oil and gas well pipe management efficiency and quality are improved.

The invention discloses a method, a system and equipment for determining a management scoring result, relates to the technical field of system construction, and aims to solve the problem of high management difficulty of system management industrial assets required by asset integrity management. The management scoring result determination method comprises the following steps: performing dimension reduction processing on a system required by asset integrity management to obtain a two-dimensional matrix of asset integrity management; and based on the two-dimensional matrix of asset integrity management, processing the information of the to-be-managed industrial assets to obtain a management scoring result of the to-be-managed industrial assets.

The invention discloses a design special seal standardized writing method based on oil and gas pipeline integrity management, and relates to the technical field of oilfield development. According to the design special seal standardized writing method based on oil and gas pipeline integrity management, by arranging a fixed barrel body, a bridge type working barrel body, an injection water bridge type channel, a produced liquid flowing channel, a telescopic sleeve and a sealed barrel body, the independent produced liquid flowing channel and the injection water bridge type channel are designed; the purpose that injected water and produced liquid are injected and produced through respective independent flow channels is achieved, the problem that oil production injected water and produced liquid flow channels at the two end sections of water injection in the middle section of the horizontal well interfere with each other can be effectively solved, and the applicability of the horizontal well same-well synchronous injection and production process pipe column is further widened. The bridge type working barrel body has the advantages of being simple in design, easy and convenient to operate, good in sealing performance and the like, the working environment of a low-permeability oil field horizontal well development site is better met, and meanwhile production cost is reduced.

The embodiment of the invention provides a method and device for predicting the failure frequency of a pipeline, equipment and a storage medium, and belongs to the field of pipeline integrity management. In the method, the future failure frequency is predicted based on the historical use failure condition of the pipeline. Individual conditions of the pipelines are fully considered, and compared with the fact that unified failure frequency is adopted for the pipelines with the same parameters or the same model, the method is more accurate and more beneficial to guiding workers to maintain and replace the pipelines, and economic losses and ecological damage caused by pipeline failure are reduced.

The invention relates to the related technical field of oil and gas pipelines, and discloses an oil and gas pipeline and station yard integrity management auditing method and device. The invention discloses an oil and gas pipeline and station yard integrity management auditing method, which comprises the following steps of: establishing a task library in an auditing server, and inputting data of an audited end for oil and gas pipeline and station yard integrity management auditing into the task library; the auditing server determines a corresponding auditing task according to the data of the audited end and sends the auditing task; the auditing end uploads auditing data to an auditing server; and the auditing terminal or / and the auditing server performs data auditing, and the auditing server generates an auditing report. According to the application, the auditing server directly uploads the related auditing data of the auditing terminal located on site to the auditing server, so that the on-site auditing time can be obviously shortened, the auditing efficiency and quality can be improved, and the situation of data loss caused by personal reasons can be avoided.

The invention relates to the technical field of pipeline risk assessment, and discloses a pipeline risk assessment method based on integrity management, comprising the following steps: obtaining multiple risk factors of pipeline failure and the risk probability corresponding to each risk factor based on historical data, encoding based on the risk probability corresponding to each risk factor, so that the associated risk factors have the same encoding rule; using a tree structure iteration module to construct an evaluation model for pipeline failure risk, so that the evaluation model has sub-nodes formed according to the encoding and the encoding rule, and each sub-node forms a different node level according to different risk probabilities; obtaining pipeline operation monitoring data, and using the monitoring data as a basis to evaluate the pipeline failure risk in the pipeline operation process with an evaluation model; the evaluation model for pipeline failure risk of the invention includes a plurality of sub-nodes of a single risk assessment model, and there is correlation between the sub-nodes, so as to complete the integrity evaluation of pipeline management.

The invention discloses a block chain-based bank sensitive operation log non-tampering auditing method. The method comprises the steps that sensitive operation logs of all business systems of a bank are captured in real time, and standardized preprocessing is carried out; 2, constructing a private block chain network to realize tamper-proof storage and automatic verification of logs; and providing a visual auditing tool and an automatic alarm mechanism to query the visual display operation chain according to the combination condition, and triggering a corresponding alarm response action according to the alarm mechanism. Through private block chain technology innovation, an efficient, safe and compliant solution is provided for integrity management of sensitive operation logs of banks, optimal balance among tamper-proofing, efficiency, compliance and cost is realized, an autonomous and controllable data security infrastructure is constructed for the bank industry, and the method has wide application value.