29 results about "Process flow diagram" patented technology

The invention is suitable for the technical field of agent adding, and particularly relates to a water treatment agent adding method and system.The method comprises the steps that a technological process diagram of a sewage treatment pond is drawn, a water inlet and a water outlet are found out, online monitoring equipment arranged at the water inlet and the water outlet in advance is used for collecting technological indexes of sewage, and the technological indexes of the sewage are obtained; a water inlet index and a water outlet index are defined; the two ends of the backflow pipeline are located at a water inlet and a water outlet respectively, the deployment mode of verification equipment and an intermediate storage tank in the backflow pipeline is set, the verification equipment is used for reading the concentration parameter of backflow liquid in the intermediate storage tank, the concentration parameter is defined as a verification index, the backflow ratio is set, and the verification result is obtained. And creating a multi-level verification mechanism. By collecting real-time sensing data, predictive accurate dosing can be realized, the use efficiency of the medicament can be optimized, a data basis is provided for advanced adjustment of a dosing system, and the stability of effluent quality is greatly improved.

The embodiments of the present application belong to the technical field of digitalization of nuclear power plants. Provided are a method and apparatus for converting a process flow diagram of a nuclear power plant, and an electronic device and a storage medium. The method comprises: acquiring a plurality of original process flow diagrams in different flow diagram formats; on the basis of the flow diagram formats, performing graphic symbol information recognition on the original process flow diagrams, so as to obtain item graphic symbol data, wherein the item graphic symbol data comprises a plurality of pieces of graphic symbol information and a corresponding graphic symbol image of each piece of graphic symbol information, and each piece of graphic symbol information is used for representing a type of item; on the basis of each piece of graphic symbol information in the item graphic symbol data, performing attribute information matching, so as to obtain item attribute information corresponding to each item; and on the basis of the graphic symbol image corresponding to each piece of graphic symbol information and the corresponding item attribute information, constructing a target process flow diagram having a unified flow diagram format. The embodiments of the present application enable complete conversion of drawing data from different development platforms while retaining complete attribute information and corresponding associated information.

The invention discloses an optimization method for slow loading of a process flow diagram of a ship system. The method specifically comprises the following steps: S1, reading and caching the process flow diagram; carrying out cache management on the read process flow diagram; s2, managing the cached process flow diagram, and selecting a specific process flow diagram by reading and displaying the cached process flow diagram; s3, selecting a specific process flow diagram, and carrying out initialization loading on the selected process flow diagram; and completing loading and updating of the process flow diagram. Through system loading, flow chart cache management and interface container loading, the method is used for solving the problem of slow display of the flow chart of the propagation system, and the method comprises the steps of loading the flow chart in advance, increasing the loading speed of the flow chart, increasing the data refreshing speed, increasing the efficiency of opening the flow chart interface, avoiding jamming of a plurality of flow charts, and improving the display efficiency of the flow chart. Content disorder of a flow chart interface is avoided.

The invention is suitable for the technical field of sewage treatment monitoring, and particularly relates to a real-time monitoring method and system for sewage treatment, and the method comprises the steps: delimiting a real-time monitoring range of sewage treatment, searching emission source equipment, selecting an influence point location, collecting video data through video monitoring equipment which is installed at the emission source equipment in advance, and transmitting the video data to a server; intercepting a state snapshot containing an influence point location; and drawing a process flow diagram of sewage treatment, setting sewage characteristics of each influence point location, and creating treatment rules in one-to-one correspondence with the sewage characteristics. By comparing the pollutant concentration with the expected concentration, deviation and compensation can be carried out on the pollutant concentration, the accuracy of monitoring data is improved, the treatment risk is reduced, and the effluent quality is ensured, so that the dosing process is accurately controlled through advanced prediction and refined monitoring, the effluent quality is ensured to be stable, and the economic benefit is improved. The sewage treatment efficiency and the sustainable management level are improved.

The application provides a kind of oiling path planning method and device, and a kind of computer readable storage medium.The planning method includes the following steps: according to the process flow diagram of crude oil tank farm, directed graph model is established, and the attribute data and state data of process equipment and / or pipeline in the crude oil tank farm are saved to corresponding node and / or corresponding link;Adjacency list is established to store the attribute data, state data, index information of the pointing node of each node and link information connected to the pointing node;Obtain at least one subtask starting node information, termination node information and ideal pump flow data;According to multiple optimization objectives, the directed graph model and the adjacency list, the objective function of the multi-objective optimization problem is established, and the feasibility constraint conditions of path search and path combination are set;And based on the feasibility constraint condition, multi-objective evolution operation is carried out to determine at least one non-dominated path planning scheme.

A method for using generative artificial intelligence (AI) to produce a framework for a simulation workflow includes receiving a process flow diagram for equipment at a facility. The method also includes receiving first data related to the equipment from one or more sensors. The method also includes determining parameters for the equipment based upon the process flow diagram and the first data. The method also includes receiving second data from the one or more sensors. The method also includes calibrating a subset of models based upon the parameters, the first data, and the second data to produce calibrated models. The method also includes performing a facility simulation using the calibrated models based upon the second data to produce an output.

The invention discloses an AI intelligent agent-based atmospheric and vacuum distillation unit intelligent management and control method and system, and relates to the field of petrochemical engineering, and the method comprises the steps: building a high-fidelity digital twin virtual model through a process flow diagram, a pipeline instrument flow diagram and historical operation data of an atmospheric and vacuum distillation unit, and carrying out the division of a process control loop according to a process control loop division principle; defining and initializing a micro agent; the method comprises the following steps: performing off-line parallel training on a micro-agent in a high-fidelity digital twin virtual model, collecting time sequence data, constructing a causal association map of an atmospheric and vacuum distillation unit by using a causal discovery algorithm, and calculating dynamic association strength among behavior data of the micro-agent. Through decision guidance of agent grouping based on dynamic association strength and causal contribution degree calculation, deep coupling of a global optimization target and local control is realized, and the problem of insufficient long-term adaptive ability caused by lack of causal reasoning in a traditional method is overcome.

A process flow diagram reconstruction method, device, medium and product, the process flow diagram reconstruction method comprising: using a first flow diagram processing model to identify the types and positions of all devices in a to-be-reconstructed process flow diagram to obtain the type information and position information of all devices, identifying the positions of all the device names in the to-be-reconstructed process flow diagram by using a second flow diagram processing model to obtain the position information of all the device names, and obtaining all the device names according to the obtained position information of all the device names and a character recognition tool, creating corresponding equipment on a configuration interface in a graphical mode according to the obtained type information and position information of all the equipment, and adding the obtained equipment names to the created equipment according to the obtained position information of all the equipment names so as to obtain a reconstructed process flow diagram, therefore, a large amount of labor cost and time cost are saved.

This invention relates to the field of chemical dosing technology, and particularly to a method and system for adding water treatment chemicals. The method includes: drawing a process flow diagram of a wastewater treatment tank; locating the inlet and outlet; using online monitoring equipment pre-deployed at the inlet and outlet to collect wastewater process parameters, defining them as influent and effluent parameters; marking the return pipeline in the process flow diagram, wherein the two ends of the return pipeline are located at the inlet and outlet respectively; setting the deployment method of calibration equipment and intermediate storage tank in the return pipeline; using the calibration equipment to read the concentration parameters of the return liquid in the intermediate storage tank, defining them as calibration parameters; setting the return ratio; and creating a multi-level verification mechanism. This invention, by collecting real-time sensor data, enables predictive and precise chemical dosing, optimizes chemical usage efficiency, provides a data basis for advance adjustments to the dosing system, and significantly improves the stability of effluent water quality.

The invention provides a ship block construction lean dispatching method, which comprises the following steps: S1, dividing a construction process into a plurality of working steps according to a process flow diagram of ship block construction, and calculating the unit time of each working step; s2, obtaining the actual object amount required during ship block construction; s3, calculating the standard operation time required by the segmented construction, and calculating the correction operation time of the segmented construction in combination with the standard operation time and the broadening factor; s4, forming an hour-level process flow diagram of ship block construction; and S5, performing personnel balance deduction to form a personnel configuration table, and generating an hour-level dispatching table of ship block construction according to the personnel configuration table and the hour-level process flow diagram. According to the technical scheme, the hour-level process flow diagram of ship block construction can be formed, the hour-level dispatching table of ship block construction is finally generated in combination with personnel balanced deduction, personnel can be helped to cope with a complex and changeable production environment, and it is ensured that the ship block construction process is smoothly completed.

Systems and methods for generating industrial process flow diagrams using generative AI and image recognition are described herein. In certain embodiments, a system includes memory devices that stores a cognitive services model trained to determine whether image data represents process information; and a generative model trained to generate process diagram information from the image data. The system also includes processors that receive the image data; and execute the cognitive services model to determine whether the image data contains information associated with a process. When the cognitive services model determines that the image data contains the information associated with the process, the processors are also execute the generative model using the image data to generate the process diagram information. Further, the processors provide the process diagram information to a diagram visualization program, wherein the diagram visualization program generates a diagram from the process diagram information.

The embodiment of the invention provides a process flow diagram generation method and device, equipment and a storage medium, and relates to the technical field of processes. The method comprises the following steps: acquiring an initial process flow diagram file; performing analysis and vectorization processing on the initial process flow diagram file to obtain a process flow diagram file based on a vector diagram format; the process flow diagram file based on the vector diagram format is subjected to standardization processing, a standardized process flow diagram file is obtained, and elements in the standardized process flow diagram file are standardized elements. By adopting the technical scheme provided by the embodiment of the invention, the generation efficiency of the process diagram can be improved.

The application discloses a foreign matter detection visual identification system for display panel production and relates to the technical field of display production, and comprises a monitoring area division module, a recognition detection module and the like, wherein the monitoring area division module divides a display panel into a plurality of monitoring sub-areas based on a display panel structure diagram and a process flow diagram, each monitoring sub-area is given a unique area number, and each monitoring sub-area contains an area coordinate range, a structure label and a process stage label; the recognition detection module performs image detection on each monitoring sub-area, acquires a local image feature set and performs enhancement processing on the local image feature set, and outputs a group of standardized structure enhancement image recognition data. Through the introduction of a multi-dimensional process parameter sequence modeling mechanism in the mapping module and the integration of a deep time sequence prediction model such as a long short-term memory network, the application can predict the possibility of future foreign matter defects based on the temperature, pressure, exposure power and other parameter change trends of each monitoring sub-area at different process stages.

The invention provides a method and system for converting a process flow diagram picture into an EBPFD model file, and the method for converting the process flow diagram picture into the EBPFD model file comprises the steps: carrying out the extraction processing of elements, characters and connecting lines in the process flow diagram picture, building the connection with an EBPFD model, and converting the process flow diagram picture into the EBPFD model. Therefore, the efficiency and quality of conversion from the process flow diagram to the EBPFD model file are improved.

The embodiment of the invention discloses a process fault detection method, device and equipment, a medium and a program product, and relates to the technical field of industrial process fault detection. The method comprises the following steps: constructing digraph structure data according to a process flow diagram, and obtaining state time sequence data in real time; inputting the state data into a feature extraction model to obtain dynamic time sequence features; constructing state time sequence features according to the dynamic time sequence features and embedded vectors containing learnable parameters; determining a target attention coefficient and a classification input feature between each target node and other target nodes in the directed graph structure data; and inputting the classification input features into a classifier to determine a process fault type, and determining a root cause node causing the process fault from the target nodes according to fluctuation data of the target attention coefficient relative to the stable attention coefficient. According to the scheme, the influence degree of the node on the process fault can be explicitly displayed, so that the technical process and the process fault reason are transparent.

The present application relates to the field of municipal design, in order to improve the drawing efficiency of process flow diagram, provide a kind of sewage treatment plant process flow diagram creation method based on Revit, comprising: step 1, on the basis of existing plant Revit three-dimensional model, create the section of each process unit;Step 2, create process flow chart in Revit software, and adjust the position of the section of each process unit according to process flow order;Step 3, define different types of detail drawing line and draw process flow line with it;Step 4, add annotation information and export two-dimensional drawing. The above steps improve the drawing efficiency of process flow diagram.

The application is suitable for the technical field of sewage treatment monitoring, and particularly relates to a sewage treatment real-time monitoring method and system.The method comprises the following steps: delimiting a real-time monitoring range of sewage treatment, finding a discharge source device, selecting an influence point, collecting video data by using a video monitoring device pre-installed at the discharge source device, and intercepting a state snapshot containing the influence point; drawing a process flow diagram of sewage treatment, setting sewage characteristics of each influence point, and creating disposal rules corresponding to the sewage characteristics one by one.The application can offset and compensate the pollutant concentration by comparing the pollutant concentration with the expected concentration, improve the accuracy of monitoring data, reduce the treatment risk, and ensure the effluent water quality, so as to accurately control the dosing process through early prediction and fine monitoring, ensure the stability of the effluent water quality, and improve the sewage treatment efficiency and sustainable management level.

A computer implemented method for automatically generating an optimization model for site-wide plant optimization includes mapping a process flow diagram of a plant process to a graph comprising nodes and edges, wherein the nodes represent processes and the edges represent flows between processes. A behavior is learned for each node of the graph based at least on historic data of the plant process. One or more regression functions are modeled for each node to predict an output of each of the processes, wherein the one or more regression functions are modeled based on the learned behavior for each node.

The invention provides a data processing method and device based on a process flow diagram, and relates to the technical field of industrial automation design, and the method comprises the steps: obtaining a to-be-recognized process flow diagram; according to the expression form of the instrument symbols on the process flow diagram, the process flow diagram is identified, N instrument symbols and instrument information associated with each instrument symbol are obtained, the instrument information at least comprises instrument coordinates, instrument position numbers and subsidiary information, the expression form of the instrument symbol is any one of a circle, an arc, a line segment and a block; aiming at each instrument symbol in the N instrument symbols, generating a horizontal search zone and a vertical search zone by taking the instrument coordinate as a center, and screening out target information corresponding to the instrument symbol from the affiliated information according to the horizontal search zone and the vertical search zone; and generating a target information table corresponding to the process flow diagram according to the instrument coordinates, the instrument position numbers and the target information corresponding to the N instrument symbols.

This application provides a reliability evaluation method for oil and gas stations, comprising: establishing a key component identification model for the station's process flow diagram based on the DETR model; obtaining the oil and gas station's process flow diagram, and using the key component identification model to identify key components in the process flow diagram, obtaining identification results; constructing a fault tree model of the station based on the identification results and the functional connection topology of the key components; constructing a dynamic reliability evaluation model for the station system based on a variable structure dynamic Bayesian network based on the fault tree model; and using the dynamic reliability evaluation model to evaluate the reliability of the target station corresponding to the oil and gas station's process flow diagram, obtaining reliability evaluation results. This application can achieve efficient and dynamic evaluation of the operational reliability of oil and gas stations. This application also provides an oil and gas station reliability evaluation system, storage medium, and electronic equipment, which have the aforementioned beneficial effects.

This invention discloses a digital and intelligent dual-mode early warning method, device, server, and storage medium for petrochemical production, belonging to the field of early warning. It constructs a knowledge graph based on the process flow diagram and uses a graph embedding algorithm to encode the network topology relationships of measurement points into low-dimensional dense vectors. Simultaneously, the inherent attributes of the measurement points are encoded into category embedding vectors, and the two are combined to form a static feature set. During online operation, the dynamically acquired feature vectors are used as queries, and the static feature set is used as keys and values. After linear transformation through a learnable weight matrix, attention weights are calculated, and the value vectors are weighted and summed to obtain a context vector. Finally, the context vector, dynamic features, and static features are fused to generate a comprehensive feature vector, which is input into the early warning model to output the final early warning result. This provides the model with richer and more accurate input features, thereby improving the prediction accuracy and robustness of the early warning model.

The invention discloses a method and a device for testing a process flow diagram of a nuclear power DCS (Distributed Control System). The method comprises the following steps: acquiring a Visio page and a corresponding HMI (Human Machine Interface) page of a to-be-tested process flow diagram; analyzing primitives in the HMI page and attributes of the primitives, and generating a first primitive array based on an analysis result of the HMI page; analyzing the primitives in the Visio page and the attributes of the primitives, and generating a second primitive array based on the analysis result of the Visio page and the attributes of the HMI page; and performing primitive matching on the first primitive array and the second primitive array, and determining a test result of the process flow diagram according to a matching result. According to the scheme provided by the embodiment of the invention, the efficiency and accuracy of the nuclear power DCS system process flow diagram test can be improved.

The invention discloses a process flow diagram generation method and device applied to semiconductor manufacturing, and belongs to the technical field of computers. The process flow diagram generation method applied to semiconductor manufacturing comprises the following steps: acquiring an original process flow diagram applied to semiconductor manufacturing; and adjusting the position of each component in the original process flow diagram based on constraint solution and a force steering layout algorithm, and generating a target process flow diagram. According to the process flow diagram generation method and device applied to semiconductor manufacturing provided by the invention, the target process flow diagram is generated by adjusting the position of each component in the original process flow diagram based on the constraint solution and the force-oriented layout algorithm, and the process flow diagram of semiconductor manufacturing can be generated more efficiently.

The invention provides a process flow diagram intelligent design method based on multi-module collaboration. The method comprises the following steps: realizing process flow diagram knowledge graph construction by utilizing an artificial intelligence technology and a Python library function; performing equipment and connection relation detection and identification on the process flow diagram image by using a deep learning model to realize accurate reading of the process equipment and process connection relation; analyzing the connection relation through a self-adaptive skeletonization algorithm and generating a corresponding code; the codes are predicted through the trained large language model, and complete and reasonable codes are generated; and according to a graph structure data matching equipment graph library, outputting a compliance process flow graph, and realizing digitization, automation and intellectualization of the chemical process flow design. The process flow design efficiency and accuracy are improved, and the method is suitable for intelligent identification and design of the complex chemical process flow.

The invention belongs to the technical field of ship construction, and provides a ship special-type block personnel dispatching method, which comprises the following steps: obtaining block construction information, and dividing the structure process of a block into a plurality of operation units; drawing a block process flow diagram, constructing a single-block personnel balance table according to the block construction information and the block process flow diagram, and carrying out single-block personnel balance; according to the balanced single-block personnel balance table, constructing a special-type block personnel balance table, and carrying out multi-block personnel balance; and carrying out worker dispatching based on the balanced special-type block worker balance table. According to the method, single-block personnel balancing is carried out by utilizing a single-block personnel balancing table, a special-block personnel balancing table is obtained by accumulating a plurality of single-block personnel balancing tables, and multi-block personnel balancing is carried out, so that personnel allocation of a single block and a special block comprising a plurality of blocks is more balanced; fluctuation of the number of dispatched workers in different construction periods is reduced, the personnel utilization rate is improved, and management and adjustment of the dispatched workers are facilitated.

Embodiments of the present application provide a process flow control and change method, device, electronic equipment and medium, wherein the process flow control method comprises: in response to an operation on a target process node in a process flow diagram, determining a target device corresponding to the operation in the process flow; and generating a control instruction corresponding to the operation, wherein the control instruction is used to control the target device. The process flow change method comprises: in response to a node change operation in the process flow diagram, obtaining configuration information of each process node after the change; wherein the node change operation comprises at least one of adding a process node, deleting a process node and modifying a process node; determining an association relationship between each process node based on the configuration information; determining at least one node path according to the association relationship between each process node; and changing the process flow diagram according to the at least one node path to realize the change of the process flow corresponding to the process flow diagram. The present application can realize dynamic configuration of the process flow.

The invention discloses a process flow diagram generation method, a related device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the conversion based on a character string sequence describing a target process, and obtaining an initial flow diagram; constructing a target constraint based on property parameters of a flow chart target in the initial flow chart; obtaining a candidate action set based on the target constraint; selecting at least one candidate action as a target action based on the selection probability of each candidate action predicted by the state parameters of the initial flow chart; and executing the target action based on the initial flow chart to obtain a process flow chart of the target process. According to the scheme, the engineering availability of mapping from symbolic expression to the process flow diagram can be improved.

The invention discloses an environmental impact assessment method for a carbon capture technology after combustion of a coal-fired power plant, and particularly relates to a low-carbon energy technology, comprising the following steps: S1, system boundary characterization: on the basis of physical layout and process flow diagrams of the coal-fired power plant and a carbon capture system, determining a system boundary; an evaluation object is divided into five key function units including power generation, carbon capture, pollutant cooperative control, waste treatment and resource consumption, an independent data anchor point is established for each unit by introducing a virtual grid coding technology, a digital mapping model is constructed, and a structured space framework is provided; according to the method, a five-dimensional index system of power generation, carbon capture, pollutant cooperative control, waste treatment and resource consumption is constructed, and a nonlinear coupling model among the influence coefficients of all dimensions is established, so that the environmental influence of the carbon capture system is comprehensively evaluated, the limitation of traditional single carbon emission reduction evaluation is broken through, and the evaluation efficiency is improved. And evaluation conversion from single environmental benefit to comprehensive environmental performance is achieved.

The application discloses an AI intelligent agent-based intelligent management and control method and system for a crude oil unit, relates to the field of petroleum chemical industry, and comprises the following steps: constructing a high-fidelity digital twin virtual model by using a process flow diagram, a pipeline instrument flow diagram and historical operation data of the crude oil unit, defining and initializing micro intelligent agents according to a process control loop division principle; performing offline parallel training on the micro intelligent agents in the high-fidelity digital twin virtual model, collecting time series data, using a causal discovery algorithm, constructing a causal correlation graph of the crude oil unit, and calculating the dynamic correlation strength between the behavior data of the micro intelligent agents. Through the decision guidance of the intelligent agent grouping based on the dynamic correlation strength and the causal contribution calculation, the application realizes the deep coupling of the global optimization target and the local control, and overcomes the problem of insufficient long-term self-adaptive ability caused by the lack of causal reasoning in the traditional method.