39 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 invention discloses a complex electronic equipment manufacturing process model simulation verification and optimization method. The method comprises the following steps: acquiring a process flow diagram in a manufacturing process model; performing chart conversion, resource library analysis and process flow diagram analysis on image-text data in the obtained process flow diagram, and taking data obtained by the chart conversion, the resource library analysis and the process flow diagram analysis as an input file of manufacturing process model simulation; carrying out operational analysis on the input file, and giving out warning and error information prompts; and modifying the manufacturing process model on the basis of a set rule and a production operation historical data optimization method until no error occurs in simulation. According to the method, the workload of repeatedly modifying the manufacturing process model can be reduced, the matching property of the manufacturing process model and the actual business is improved, and the predictability of the production process is improved, so that the optimization of the product process route, the controllable process quality and the achievable delivery plan are ensured.

The invention discloses a foreign matter detection visual identification system for display panel production, and relates to the technical field of display production, and the system comprises a monitoring area division module which 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 endowed with a unique area number, and the area number of each monitoring sub-area is stored; the label comprises a region coordinate range, a structure label and a process stage label; and the identification detection module is used for carrying out image detection on each monitoring sub-region, acquiring a local image feature set, carrying out enhancement processing on the local image feature set, and outputting a group of standardized structure enhanced image identification data. According to the invention, a multi-dimensional process parameter sequence modeling mechanism is introduced into the mapping module, and depth time sequence prediction models such as a long-short-term memory network and the like are integrated, so that the possibility of occurrence of foreign matter defects in the future can be predicted based on parameter variation trends such as temperature, pressure and exposure power of each monitoring sub-region in different process stages.

The invention discloses an intelligent supervision and management method and system for factory production, and relates to the technical field of production management, and the method comprises the steps: constructing a time difference chain based on an operation behavior, and extracting a fluctuation feature element through a sliding window; performing frequency domain transformation on the fluctuation characteristic elements to obtain a rhythm fluctuation spectrum; calculating a dynamic time warping distance between the rhythm fluctuation spectrum and a historical rhythm reference spectrum to obtain a spectrum deviation descriptor; mapping the spectral deviation descriptors into a standard semantic process flow diagram in a nested manner to form a rhythm process nested diagram; node-level index semantic vectors are extracted from the rhythm process nested graph based on a graph embedding algorithm, multi-dimensional semantic alignment detection is executed, and alignment residual measurement is output; and aggregating the alignment residual measurement, generating a structured dislocation score list, and constructing an abnormal behavior scene graph based on a score threshold. According to the method, the rhythm fluctuation spectrum is generated and semantic nested mapping is carried out, so that the abnormity and semantic dislocation in the production supervision process are identified.

The process calculation method of the water treatment process comprises the following steps of: 1, making a water treatment process flow diagram for simulating a real water treatment process flow on a picture; a step 2 in which the flow rate of each liquid flow is temporarily determined on the water treatment process flow diagram so that the water revenue and expenditure for each unit icon are not contradictory; a step (3) in which any one of the flow rates of the liquid flow determined in step (2) is changed and determined to an arbitrary value; a step 4 for calculating and specifying, on the basis of the specified flow rate of the liquid flow, the flow rate of all the liquid flow that must be calculated; a step (5) for selecting one cell icon connected to one or more of the liquid flows for which the flow rate has been determined and to one or more of the liquid flows for which the flow rate has not been determined, and calculating and determining the flow rate of all the liquid flows for which the flow rate has not been determined and which are connected to the selected cell icon in accordance with the priority set for each cell icon; and a step (6) in which steps (4-5) are repeated until the flow rate of all the liquid flows is determined.

The invention discloses a method for converting a water treatment process flow diagram into a graph model, which comprises the following steps of: 1, identifying a graph and a character identifier in a water treatment process flow diagram to be converted by using an image and text identification algorithm; 2, extracting engineering project information, a technological process topological relation, technological unit information and technological unit part information in the water treatment technological process diagram; 3, dividing nodes of the graph model into three layers of mother nodes, child nodes and grandchild nodes which are connected with a topological relation step by step; 4, obtaining engineering project information; 5, converting into a child node and child node connection relationship in the graph model; step 6, acquiring information of each process unit in the process flow diagram; 7, converting the flow data and inlet and outlet water quality data of each process unit into attributes of a node connection relationship; and step 8, acquiring part information of each process unit. The method has the beneficial effect that the conversion rate of the water treatment process flow diagram to the digital diagram model can be improved.

The invention relates to a model training method and a parameter prediction method and device based on a flow chart. The method comprises the steps of obtaining key configuration data of a current process in a process flow chart; a flow chart data set is generated according to the key configuration data, the flow chart data set serves as a training sample, and the flow chart data set comprises flow convergence state information; and constructing a network model based on a variational auto-encoder of any condition, training the network model by using the training sample, and constructing a flow chart network model adaptive to the process flow chart. Performing missing value prediction on the key configuration data by using the flow chart network model, and performing parameter adjustment on the key configuration data according to the predicted missing value; and inputting the adjusted configuration data into the process flow diagram to carry out convergence prediction. Therefore, the problem of non-convergence of the optimized chemical process flow diagram is solved, the convergence probability of the flow diagram is improved, and meanwhile, the simulation stability and efficiency are 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.

The invention belongs to the technical field of simulation modeling, and particularly relates to an automatic simulation modeling method based on a process flow diagram. Calibrating a simulation modeling range on the process flow diagram; determining the boundary and the boundary type of the simulation modeling range; extracting equipment information, pipeline information and boundary information in the process flow diagram; obtaining a one-dimensional graphical numerical calculation model through four-step translation according to a mapping relation between process flow diagram equipment and a graphical model, a node division standard, a pipeline connection standard and a boundary division standard; graphical model component coding is carried out, the model components are automatically coded according to the simulation modeling coding standard, and each model component has a unique code; and evaluating the quality of the graphical model of the process system by adopting a simulation model comprehensive evaluation method. According to the method, the modeling information is directly extracted from the process flow diagram, the defects that manual modeling is low in efficiency and high in error rate are overcome, the simulation modeling efficiency of complex process system engineering can be effectively improved, and the production cost is reduced.

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 relates to the technical field of power generation boiler fault diagnosis, in particular to a boiler system fault diagnosis method and system based on a hierarchical directed graph, and the method comprises the steps: abstracting parameters in a boiler system process flow diagram into nodes, abstracting a parameter influence relation into directed edges, and constructing a symbol directed graph; layering the signed directed graph to obtain a layered directed graph; in the operation process of the boiler system, performing state monitoring on all nodes of each layer of the layered directed graph to obtain a real-time node state; determining a fault propagation path according to the real-time node state; determining a fault source node in the fault propagation path according to the membership degree; and verifying the correctness of the fault propagation path based on a reverse reasoning mechanism. When fault diagnosis is carried out by adopting the layered directed graph, nodes below the number of layers where fault nodes are located do not need to be diagnosed, so that the diagnosis efficiency is improved.

The invention discloses a fusion processing method and device for technological process calculation and technological process plotting, and is applied to fusion processing equipment for technological process calculation and technological process plotting. Acquiring process calculation condition parameters and process production flow data in the target nonferrous metal production process, and creating a basic flow chart framework model on the fusion processing equipment; drawing a process logic diagram based on the process production flow data and the basic flow diagram framework model, inputting the process calculation condition parameters into the fusion processing equipment, and performing process flow calculation in combination with the process logic diagram to obtain a process flow calculation result; and based on the process flow calculation result, the fusion processing equipment is used for adjusting the process logic diagram, and a process flow diagram in the target non-ferrous metal production process is obtained.

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.

The invention discloses a complex electronic equipment system integrated manufacturing process modeling method, which comprises the steps of decomposing a complex electronic system integrated manufacturing process, adjusting a BOM structure of complex electronic equipment, and generating an order based on the adjusted BOM structure; performing process decomposition on the integrated manufacturing process of each node on the BOM structure corresponding to each order, and drawing a process flow diagram; obtaining a production element demand table of the process relation model based on the directed acyclic graph; and integrating related data of the adjusted BOM structure, the technological process diagram and the production element demand table, namely generating a complex electronic equipment system integrated manufacturing process model, performing validity detection on the complex electronic equipment system integrated manufacturing process model, and determining the validity of the complex electronic equipment system integrated manufacturing process model. According to the application, the hierarchy and order complexity of the BOM structure are reduced, the flexibility of production scheduling is enhanced, and the adaptability to abnormal conditions and emergency situations in the manufacturing process of complex electronic equipment products is enhanced.