Coal chemical process flow modeling method and device, processor and machine readable storage medium

Abstract

The invention provides a coal chemical industry technological process modeling method and device, a processor and a machine readable storage medium, and relates to the technical field of coal chemical industry. The modeling method comprises the following steps: determining process attributes of a coal chemical process; determining a technological process overall framework based on the technological attributes to obtain a technological process initialization model; establishing an input-output model, and calculating a device consumption coefficient of the device node by using the input-output model; determining node attributes of the basic nodes; calling service parameters of the basic nodes by utilizing the node attributes of the basic nodes; and loading the node attributes and the service parameters on the corresponding basic nodes in the initialization model, and loading the consumption coefficient and the input-output model on the corresponding device nodes in the initialization model to obtain a technological process model. According to the method and the system, the association among the departments can be established through the input-output model, the economic relationship and the interdependence relationship among the departments can be reflected more comprehensively, and the technological process and the operation condition can be understood more intuitively and quickly.

Description

Technical Field

[0001] The present invention relates to the technical field of coal chemical industry, and in particular to a coal chemical industry process modeling method, a coal chemical industry process modeling method device, a processor and a machine-readable storage medium. Background Art

[0002] Modern coal chemical industry is the trend and direction of the future development of the coal chemical industry. It is of great significance to ensure national energy security, promote clean and efficient use of coal and the transformation and upgrading of the coal industry, and cultivate new economic growth points. There are many types of processes in my country's coal chemical enterprises, including direct coal liquefaction, indirect coal liquefaction, coal-to-methanol, coal-to-olefins, coal coking and other production types. In order to effectively exert the industrial efficiency of coal chemical industry, the development of group integrated industry has become a trend. The synergy of coal chemical industry can maximize the production capacity effect and achieve the purpose of improving quality and efficiency. The key business of existing coal chemical production enterprises involves multiple business dimensions such as production planning, scheduling, statistics, process, quality, materials, equipment, energy, safety and environment. For different processes, there are also different process flows. In the current digital age, data has become a key factor in enterprise decision-making and operation. Especially in the coal chemical industry, due to the complex production process, numerous equipment and harsh environmental conditions, real-time and accurate data application and sharing services in the process flow are particularly important for ensuring production safety, improving production efficiency and reducing costs.

[0003] In existing technologies, data between different departments and systems are often difficult to integrate effectively, and the relationship between them cannot be reflected, resulting in poor information flow and affecting decision-making efficiency. The data is not standardized enough to understand the process flow and operation status more intuitively and quickly. Summary of the invention

[0004] In view of the fact that data between different departments in the prior art are often difficult to be effectively integrated and unable to reflect the relationship between them, resulting in poor information flow and affecting decision-making efficiency. The data standardization is low and the technical problem of being unable to understand the process flow and operating conditions more intuitively and quickly is solved. The present invention provides a coal chemical process modeling method, a coal chemical process modeling method device, a processor and a machine-readable storage medium. The coal chemical process modeling method can establish the relationship between departments through the input-output model, and more comprehensively reflect the economic connection and interdependence between departments, and more intuitively and quickly understand the process flow and operating conditions, thereby improving decision-making efficiency, work efficiency and productivity.

[0005] To achieve the above-mentioned purpose, the first aspect of the present invention provides a coal chemical process flow modeling method, which includes: determining the process attributes of the coal chemical process; determining the overall framework of the process flow based on the process attributes to obtain a process flow initialization model; wherein the overall framework includes basic nodes and basic node associations between basic nodes; the basic nodes include: organization nodes, regional nodes and production nodes; the production nodes include: device nodes, tank nodes, storage location nodes, entry and exit point nodes; establishing an input-output model, and using the input-output model to calculate the device consumption coefficient of the device node; wherein the device consumption coefficient includes a direct consumption coefficient or a complete consumption coefficient; determining the node attributes of the basic nodes; wherein the node attributes are the exclusive attributes of each basic node; using the node attributes of the basic nodes to call the business parameters of the basic nodes; wherein the business parameters are dynamic business parameters of the basic nodes; loading the node attributes and business parameters on the corresponding basic nodes in the initialization model, and loading the consumption coefficient and the input-output model on the corresponding device nodes in the initialization model to obtain a process flow model.

[0006] Furthermore, the direct consumption coefficient is obtained by: a ij = x ij / X j ; where a ij is the direct consumption coefficient, x ij is the value of the products of department i consumed in the production of product j, and Xj is the total output of department j.

[0007] Furthermore, the complete consumption coefficient is obtained by: B = 1 / (I - A) - I; where B is the complete consumption coefficient matrix, A is the direct consumption coefficient matrix, and I is the unit matrix.

[0008] Furthermore, the method further includes: determining node display parameters of the basic nodes; and loading the node display parameters on the corresponding basic nodes in the initialization model.

[0009] Furthermore, the basic node associations between basic nodes include: basic hierarchical associations, organizational node associations and regional node associations; wherein, the basic hierarchical associations are used to indicate the associations between organizational nodes, regional nodes and device nodes; the organizational node associations are tree-like hierarchical associations composed of multiple nodes among enterprise nodes, factory nodes, branch nodes, central nodes, workshop nodes and team nodes; and the regional node associations are used to indicate the material flow or energy flow within the regional nodes.

[0010] Furthermore, each regional node includes multiple device nodes; the regional node association is obtained in the following manner: determining the materials circulating within the regional node, and the circulation side lines of the materials between multiple device nodes within the regional node; wherein the materials include: raw materials, intermediate materials and products; based on the circulation side lines of the materials, side line connections of multiple device nodes within the regional node are established to obtain the regional node association.

[0011] Furthermore, each regional node includes multiple device nodes; the regional node association is obtained in the following manner: determining the energy flowing within the regional node, and the flow path of the energy between multiple device nodes within the regional node; wherein the energy includes: electrical energy, thermal energy, mechanical energy and chemical energy; establishing a connection between multiple device nodes within the regional node based on the flow path of the energy to obtain the regional node association.

[0012] The second aspect of the present invention provides a coal chemical process modeling device, the coal chemical process modeling device comprising: a process attribute determination module, used to determine the process attributes of the coal chemical process; a process flow initialization model determination module, used to determine the overall framework of the process flow based on the process attributes, and obtain a process flow initialization model; wherein the overall framework includes basic nodes and basic node associations between basic nodes; the basic nodes include: organization nodes, regional nodes and production nodes; the production nodes include: device nodes, storage tank nodes, storage location nodes, and entry and exit point nodes; the device consumption coefficient determination module is used to establish an input-output model, and use the input-output model to determine the overall framework of the process flow. A device consumption coefficient of a computing device node; wherein the device consumption coefficient includes a direct consumption coefficient or a complete consumption coefficient; a node attribute determination module, used to determine the node attributes of a basic node; wherein the node attributes are exclusive attributes of each basic node; a business parameter determination module, used to call the business parameters of the basic node using the node attributes of the basic node; wherein the business parameters are dynamic business parameters of the basic node; a process flow model determination module, used to load the node attributes and business parameters on the corresponding basic node in the initialization model, and load the consumption coefficient and the input-output model on the corresponding device node in the initialization model to obtain a process flow model.

[0013] A third aspect of the present invention provides a processor configured to execute the coal chemical process modeling method described above.

[0014] A fourth aspect of the present invention provides a machine-readable storage medium having instructions stored thereon, which, when executed by a processor, configure the processor to execute the coal chemical process modeling method described above.

[0015] Through the technical solution provided by the present invention, the present invention has at least the following technical effects: The coal chemical process modeling method of the present invention comprises: determining the process attributes of the coal chemical process; Based on the process attributes, the overall framework of the process flow is determined to obtain a process flow initialization model; wherein the overall framework includes basic nodes and basic node associations between basic nodes; the basic nodes include: organization nodes, regional nodes and production nodes; production nodes include: device nodes, tank nodes, storage location nodes, and entry and exit point nodes; an input-output model is established, and the device consumption coefficient of the device node is calculated using the input-output model; wherein the device consumption coefficient includes a direct consumption coefficient or a complete consumption coefficient; the node attributes of the basic nodes are determined; wherein the node attributes are the exclusive attributes of each basic node; the business parameters of the basic nodes are called using the node attributes of the basic nodes; wherein the business parameters are dynamic business parameters of the basic nodes; the node attributes and business parameters are loaded on the corresponding basic nodes in the initialization model, and the consumption coefficient and the input-output model are loaded on the corresponding device nodes in the initialization model to obtain a process flow model. The coal chemical process flow modeling method provided by the present invention can establish the association between departments through the input-output model, and more comprehensively reflect the economic connection and interdependence between departments, and more intuitively and quickly understand the process flow and operation status, thereby improving decision-making efficiency, work efficiency and productivity.

[0016] Other features and advantages of the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings: The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings: Figure 1 A flow chart of a coal chemical process modeling method provided by an embodiment of the present invention; Figure 2 A schematic diagram of the overall framework of the coal chemical process modeling method provided by an embodiment of the present invention; Figure 3 A schematic diagram of the input and description of device nodes in the coal chemical process modeling method provided by an embodiment of the present invention; Figure 4 A schematic diagram of basic hierarchical associations in a coal chemical process modeling method provided by an embodiment of the present invention; Figure 5A schematic diagram of regional node association in a coal chemical process modeling method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0019] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0020] In the present invention, unless otherwise specified, directional words such as "up, down, top, bottom" are usually used with reference to the directions shown in the drawings or are used to describe the relative positional relationships of components in the vertical, perpendicular or gravity direction.

[0021] As the background technology, the performance of the existing semiconductor structure is poor.

[0022] Please refer to Figure 1 According to a first aspect of an embodiment of the present invention, a method for modeling a coal chemical process flow is provided, and the method for modeling a coal chemical process flow comprises: S101: determining the process attributes of a coal chemical process; S102: determining the overall framework of the process flow based on the process attributes, and obtaining a process flow initialization model; wherein the overall framework comprises basic nodes and basic node associations between basic nodes; the basic nodes comprise: organization nodes, regional nodes and production nodes; the production nodes comprise: device nodes, storage tank nodes, storage location nodes, and in-and-out point nodes; S103: establishing an input-output model, and using the input-output model to calculate the device consumption coefficient of the device node; wherein the device consumption coefficient comprises a direct consumption coefficient or a complete consumption coefficient; S104: determining the node attributes of the basic node; wherein the node attributes are the exclusive attributes of each basic node; S105: calling the business parameters of the basic node using the node attributes of the basic node; wherein the business parameters are dynamic business parameters of the basic node; S106: loading the node attributes and business parameters on the corresponding basic nodes in the initialization model, and loading the consumption coefficient and the input-output model on the corresponding device nodes in the initialization model, and obtaining a process flow model.

[0023] Specifically, in the implementation mode of the present invention, based on the diversity of production processes of coal chemical enterprises, the process flow of coal chemical enterprises is visualized and modeled, the technical parameters of various basic nodes are flexibly and scalably configured, and the process flow nodes are modeled by means of a visual canvas, so as to push the standard shared model data of unified standards to various production execution layer systems of coal chemical enterprises, and at the same time receive the business parameters of various systems through the data interface, and visualize the application and analysis of process flow, material flow, and energy flow based on this logical relationship. At the same time, an input-output model is established, the relationship between departments is established, and the economic connection and interdependence between departments are more comprehensively reflected.

[0024] Different process attributes correspond to different overall frameworks. First, it is necessary to determine the process attributes of the coal chemical process of the coal chemical enterprise. The process attributes include: coal-to-olefins, coal-to-oil, coal-to-gas, coal-to-coke, etc. The overall framework of the process flow is determined based on the process attributes. The overall framework includes basic nodes and basic node associations between basic nodes. Basic nodes include: organizational nodes, regional nodes and production nodes; organizational nodes include: enterprise nodes, factory nodes, branch nodes, center nodes, workshop nodes, team nodes, etc.; regional nodes include: production boundary nodes, storage nodes, tank area nodes, loading and unloading platform nodes, pipeline network nodes, combined area nodes; production nodes include: device nodes, storage tank nodes, warehouse location nodes, entry and exit point nodes, etc.

[0025] Then, an input-output model is established, and the device consumption coefficient of the device node is calculated using the input-output model; the input-output model can be obtained by the direct consumption method or the complete consumption method, and the corresponding device consumption coefficient includes the direct consumption coefficient or the complete consumption coefficient. The input-output model can establish the relationship between departments, and more comprehensively reflect the economic connection and interdependence between departments, and understand the process flow and operation status more intuitively and quickly.

[0026] Next, determine the node attributes of the basic node. The node attributes are used to indicate the specific attributes of the basic node, such as the name, number, code and other fixed and unique attributes of the basic node. The node attributes of the basic node are used to call the business parameters of the basic node in the system. The business parameters are used to indicate the dynamic business of the basic node. For example, the device node needs to configure business parameters such as daily output and monthly output, and the tank node needs to configure daily inventory and storage capacity. At the same time, the parameter code, parameter name, parameter cycle, parameter unit, etc. of the business parameters can also be configured. Figure 2As shown, when the subsequent business parameters are accessed, the business parameter interfaces of each node need to be set in advance to match different business parameter identifiers, such as the business parameters of the device node are connected to the production operation system, the business parameters of the energy node are connected to the chemical energy management system, and the business parameters of the enterprise node are connected to the chemical production management system. Then the node attributes and business parameters are loaded on the corresponding basic nodes in the initialization model, and the consumption coefficient and input-output model are loaded on the corresponding device nodes in the initialization model to obtain the process flow model.

[0027] According to the coal chemical process modeling method provided by the present invention, it is possible to establish the relationship between departments through the input-output model, and more comprehensively reflect the economic connection and interdependence between departments, so as to understand the process flow and operating conditions more intuitively and quickly, thereby improving decision-making efficiency, work efficiency and productivity.

[0028] Loading multiple parameter data into the model can effectively reduce the problem of inconsistent data in the construction of multiple systems, reduce the waste of time and cost caused by data cross-border between systems, and thus optimize the resource allocation and data sharing of the production execution layer.

[0029] In this embodiment, the coal chemical process model can be implemented on the canvas file. Different process attributes correspond to different canvas files. Different process canvas files are defined based on process attributes. The canvas pre-provides graphic templates of organizations, devices, equipment, and nodes of different processes, and the node graphics can be directly dragged onto the canvas for process modeling and drawing.

[0030] Traditional coal chemical enterprise production process visualization modeling uses relational data to manage the data of chemical production areas, production nodes and their topological relationships, and requires separate maintenance and display queries through multiple data tables, which cannot intuitively display the relationship between process elements. In this embodiment, the process flow can be visualized in the following ways: 1. Using Web online configuration technology to realize dynamic visualization of process flow: Using Web online configuration software and Vue technology, process flow node modeling is performed through a visual canvas, and the dynamics of the production process are visualized. Not only can traditional real-time data be viewed, but also the business parameters of daily production operations can be displayed, and statistical analysis and display can be performed on the production process visualization interface. Visual editing and management of the relationship between organizational node data, regional node data, and production node data is realized.

[0031] It can graphically display the complex relationships between organizational nodes, regional nodes, and production nodes, and support users to dynamically edit and adjust these relationships. It designs and implements the attribute setting function for production-related data, as well as the editing function of the relationships between data, including but not limited to the establishment and management of material flow relationships. It can also build an image management module, allowing users to customize and set production-related images, and supports drawing and editing functions to more intuitively express production layout and process flow.

[0032] Specifically, the following technical methods can be used: (1) Industrial Web online configuration software using multi-source heterogeneous data engines: Using multi-source heterogeneous data engines to effectively integrate production data from different data sources and in different formats, providing a basis for unified management and visual editing of data; the configuration software supports the use of rapid construction of data visualization interfaces to realize functions such as drag-and-drop editing of data and element resizing. At the same time, production process data can be visualized in real time and dynamically. The factory's production process, device operation status, etc. can be presented in real time in a graphical manner on the Web interface, allowing managers and operators to intuitively understand the factory's operating status, making it easier for relevant responsible personnel to promptly discover and solve problems; Web online configuration technology has high flexibility and scalability. Users can flexibly add, modify or delete components according to the actual needs of the factory to adapt to different production scenarios. At the same time, as the factory scale expands or the production process changes, the visualization system can also be easily expanded and upgraded to meet new needs; (2) Application of Vue DraggableResizable technology: Using Vue Draggable Resizable technology enables the dragging and resizing of interface elements, improving the convenience and flexibility of user operations; (3) Application of Vue Design System component design: Use VueDesign System to design a series of visual components that meet production management needs, including but not limited to charts, buttons, forms, etc., to simplify the operation process of operators and improve the efficiency of creating and modifying factory production model diagrams. Through the comprehensive application of the above content and technologies, the visual editing function of efficiently processing the relationship between organization nodes, regional nodes and production nodes is realized, providing strong support for the creation and modification of production process model diagrams.

[0033] 2. Use rem adaptation + flexible.js to optimize the visualization effect of the process flow.

[0034] While achieving the preview effect of the process flow model design area page and ensuring that users can view the overall design effect, the problem of page display incompatibility and function button confusion caused by differences in computer configuration and performance is solved. To solve the above problems, the following key technologies are used: (1) Front-end rem adaptation technology: By introducing front-end rem adaptation technology, the size and layout of page elements can be dynamically adjusted according to the user's screen size and resolution. Therefore, whether it is a high-resolution or low-resolution display, the page can maintain a consistent display effect.

[0035] (2) Flexible.js screen division technology: We further adopted the flexible.js screen division technology to divide the screen size into 32 equal parts and set the default screen size to 2560px. In this way, no matter what the user's screen size is, we can adapt the page according to the division results to ensure that the elements and layout of the page can be displayed correctly.

[0036] By comprehensively applying the above technologies, the problems of page display incompatibility and disordered function buttons encountered by users during use have been successfully solved. Under different computer configurations and performance, users can browse the process model page smoothly and view the overall effect, which improves the user experience and enhances the versatility and stability of the process model design area page. By combining rem adaptation with flexible.js, the model preview effect can be optimized. Whether it is complex charts, images or large amounts of text data, the element size can be dynamically adjusted to adapt to different preview environments to ensure the clarity and readability of the preview effect.

[0037] Furthermore, the direct consumption coefficient is obtained by: a ij = x ij / X j ; where a ij is the direct consumption coefficient, x ij is the value of the products of department i consumed in the production of product j, and Xj is the total output of department j.

[0038] Furthermore, the complete consumption coefficient is obtained by: B = 1 / (I - A) - I; where B is the complete consumption coefficient matrix, A is the direct consumption coefficient matrix, and I is the unit matrix.

[0039] Specifically, in the implementation manner of the present invention, the production equipment of the coal chemical enterprise is the core element in production management, so it is necessary to manage the associated model of the input-output model of the device node. A device node has multiple input raw materials or intermediate materials, and there will also be multiple outputs (including intermediate materials and products). A raw material or intermediate material can also be refluxed in this device node. The input-output model of the device node can reveal the input-output relationship within the device node or between the device node and the external system. The model can be established using the input-output table, which classifies and records the input and output of the device in detail according to different departments and links. The table usually includes key indicators such as intermediate products, final products, total inputs, and total outputs. After filtering the data in the input-output table, the filtered data is used for modeling to obtain the input-output model of the device node. The input-output model includes a consumption coefficient model and a complete consumption coefficient model. The consumption coefficient model is used to indicate the direct consumption of another product in the production of one unit of a certain product. The specific model is: a ij = x ij / X j ; where a ij is the direct consumption coefficient, x ij is the value of the products of department i consumed in the production of product j, Xj is the total output of department j, and the direct consumption relationship between departments can be established through the direct consumption coefficient. The complete consumption coefficient model is used to indicate the complete consumption of the final product volume of a certain product j production unit for another product i, that is, the sum of direct consumption and indirect consumption. The specific model is: B = 1 / (I - A) - I; wherein B is the complete consumption coefficient matrix, A is the direct consumption coefficient matrix, and I is the unit matrix. The complete consumption coefficient can more comprehensively reflect the economic connection and interdependence between departments. In this embodiment, the input and output can also be loaded on the corresponding device nodes to form the following: Figure 3 The visualization model shown.

[0040] The coal chemical process modeling method provided by the present invention can establish the relationship between various departments and more comprehensively reflect the economic connection and interdependence between departments.

[0041] Furthermore, the method further includes: determining node display parameters of the basic nodes; and loading the node display parameters on the corresponding basic nodes in the initialization model.

[0042] Specifically, in an embodiment of the present invention, for various basic nodes in the canvas, node display parameters indicating graphical effects such as color, size, background color, dynamic graphics, etc. of the basic nodes can be defined, so that the basic node display effect can be more vivid and more in line with the display effect of the actual production process.

[0043] Furthermore, the node technical parameters of the basic node can also be determined, and the node technical parameters can be loaded on the corresponding basic node in the initialization model. For various basic nodes in the canvas, different technical parameters can be extended according to different basic nodes, and unique technical parameters can be defined individually. In a possible implementation, the technical parameters of the device node include: design capacity, input-output, design energy consumption, pressure and temperature, etc. The technical parameters of the tank node include: tank body, capacity and alarm threshold, etc. The technical parameters of the storage location node include: the capacity of different raw materials or products, etc. The technical parameters of the entry and exit points include: location and capacity, etc. Each technical parameter can also define parameter code, parameter name, parameter unit, etc.

[0044] In order to effectively obtain the real-time data of input, output, pressure, temperature, etc. of major nodes such as devices and storage tanks, the bit number information of the measurement points of these technical parameters is managed, and the bit number information is loaded on the basic node to establish an effective association with the device, storage tank, etc., providing basic association support for subsequent production monitoring. Through the collection and analysis of the above real-time data, it is possible to reduce dependence on manual monitoring, reduce operation and maintenance costs, help achieve more efficient energy use, reduce energy waste, and reduce emissions.

[0045] Furthermore, the virtual parameters of the basic nodes can be determined; the virtual parameters are loaded on the corresponding basic nodes in the initialization model. The virtual parameters are calculated using the above parameters and formulas related to actual production. The specific calculation process includes data collection, algorithm selection, parameter setting, result verification and result application. The setting methods of virtual parameters include "fixed difference correction" and "plane fitting".

[0046] Based on the above parameters, in order to effectively ensure the effectiveness of its application, the metadata corresponding to the parameters are dimensionally classified and dimension classification index management is carried out. The basic options, technical parameters, and classification definitions used by the parameters are all taken from the dimension classification index.

[0047] According to the coal chemical process modeling method provided by the present invention, the basic nodes can be flexibly and scalably configured, so that various production processes of coal chemical enterprises can be visually configured and scalable. It enables coal chemical enterprise management to understand the process flow and operating conditions more intuitively and quickly, thereby improving decision-making efficiency. Through in-depth analysis of the basic process parameters of coal chemical industry, energy waste and high cost links can be found, and then measures can be taken to reduce energy consumption and production costs.

[0048] Furthermore, the basic node associations between basic nodes include: basic hierarchical associations, organizational node associations and regional node associations; wherein, the basic hierarchical associations are used to indicate the associations between organizational nodes, regional nodes and device nodes; the organizational node associations are tree-like hierarchical associations composed of multiple nodes among enterprise nodes, factory nodes, branch nodes, central nodes, workshop nodes and team nodes; and the regional node associations are used to indicate the material flow or energy flow within the regional nodes.

[0049] Specifically, in the implementation manner of the present invention, the basic node association between basic nodes includes: basic level association, organization node association and regional node association. The basic level association is used to indicate the association between the organization node, the regional node and the device node. For different process attributes, the corresponding basic level association is different. In this embodiment, the association between the organization node-regional node-production node is established, such as Figure 4 As shown, the coal chemical plant includes a methanol production workshop and an olefin production workshop. The methanol production workshop includes a methanol synthesis unit boundary area, an intermediate product tank area, etc. The methanol synthesis unit boundary area includes a methanol synthesis unit, and the intermediate product tank area includes multiple intermediate product storage tanks, etc.

[0050] In this embodiment, according to the organizational management level of the coal chemical production enterprise, the enterprise node, factory node, branch node, center node, workshop node and team node are hierarchically managed to establish a tree relationship. At the same time, according to the correspondence with the actual organizational level, the physical organization and the virtual organization are distinguished to meet the needs of different enterprise management characteristics. In addition, according to the characteristics of chemical production that is implemented according to phased project construction, the chemical process project is managed, the relationship between the factory and the chemical process project is established, and the configuration management of the production capacity, scale and technical parameters of the chemical process project is focused on.

[0051] Through the association of basic nodes, the interconnection between multiple levels and systems is effectively realized. At the same time, users of coal chemical enterprises can obtain the required information data in an all-round and multi-dimensional manner, effectively improve production management and decision-making capabilities, and thus improve work efficiency and productivity.

[0052] Furthermore, each regional node includes multiple device nodes; the regional node association is obtained in the following manner: determining the materials circulating within the regional node, and the circulation side lines of the materials between multiple device nodes within the regional node; wherein the materials include: raw materials, intermediate materials and products; based on the circulation side lines of the materials, side line connections of multiple device nodes within the regional node are established to obtain the regional node association.

[0053] like Figure 5As shown, specifically, in the implementation mode of the present invention, each regional node includes multiple device nodes. Within a regional node, the regional node association can be formed according to the material flow side line, representing the material flow between the device nodes. The side line is connected head to tail, the side line out represents the outflow of materials, and the side line in represents the inflow of materials. A side line is only associated with one type of material, so it represents the process flow association relationship of a factory or a certain management area in the factory. In this embodiment, according to the characteristics of the coal chemical enterprise, the materials produced by the enterprise, including raw materials, auxiliary materials, semi-finished products, finished products, and public engineering materials, can also be classified and graded. At the same time, the materials correspond to different quality standard systems, so that different versions of mapping relationships are established and loaded into the process flow model.

[0054] The coal chemical process modeling method provided by the present invention can realize the visual application and analytical display of material flow, can understand the process flow and operating conditions more intuitively and quickly, and realize the effective integration of process flows between different departments and devices.

[0055] Furthermore, each regional node includes multiple device nodes; the regional node association is obtained in the following manner: determining the energy flowing within the regional node, and the flow path of the energy between multiple device nodes within the regional node; wherein the energy includes: electrical energy, thermal energy, mechanical energy and chemical energy; establishing a connection between multiple device nodes within the regional node based on the flow path of the energy to obtain the regional node association.

[0056] Specifically, in the implementation of the present invention, each regional node includes multiple device nodes. Within a regional node, regional node associations can be formed according to energy flow paths, representing energy flows between device nodes. Energy includes: electrical energy, thermal energy, mechanical energy, and chemical energy. Connections between multiple device nodes within a regional node are established based on energy inflow, outflow, and conversion paths to obtain regional node associations.

[0057] The coal chemical process modeling method provided by the present invention can realize the visualized application and analytical display of energy flow, can understand the process flow and operating conditions more intuitively and quickly, and realize the effective integration of process flows between different departments and devices.

[0058] The second aspect of the present invention provides a coal chemical process modeling device, the coal chemical process modeling device comprising: a process attribute determination module, used to determine the process attributes of the coal chemical process; a process initialization model determination module, used to determine the overall framework of the process based on the process attributes, and obtain a process initialization model; wherein the overall framework includes basic nodes and basic node associations between basic nodes; the basic nodes include: organization nodes, regional nodes and production nodes; organization nodes include: enterprise nodes, factory nodes, branch factory nodes, center nodes, workshop nodes, team nodes; regional nodes include: production boundary nodes, storage nodes, tank area nodes, loading and unloading platform nodes, pipeline network nodes, combined area nodes; production nodes include: device nodes, storage tank nodes, storage location nodes point, in-and-out point node; device consumption coefficient determination module, used to establish an input-output model, and use the input-output model to calculate the device consumption coefficient of the device node; wherein the device consumption coefficient includes a direct consumption coefficient or a complete consumption coefficient; a node attribute determination module, used to determine the node attributes of the basic node; wherein the node attributes are the exclusive attributes of each basic node; a business parameter determination module, used to call the business parameters of the basic node using the node attributes of the basic node; wherein the business parameters are the dynamic business parameters of the basic node; a process flow model determination module, used to load the node attributes and business parameters on the corresponding basic node in the initialization model, and load the consumption coefficient and the input-output model on the corresponding device node in the initialization model to obtain a process flow model.

[0059] A third aspect of the present invention provides a processor configured to execute the coal chemical process modeling method described above.

[0060] A fourth aspect of the present invention provides a machine-readable storage medium having instructions stored thereon, which, when executed by a processor, configure the processor to execute the coal chemical process modeling method described above.

[0061] The preferred embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the present invention is not limited to the specific details in the above embodiments. Within the technical concept of the present invention, a variety of simple modifications can be made to the technical solution of the present invention, and these simple modifications all belong to the protection scope of the present invention.

[0062] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not further describe various possible combinations.

[0063] In addition, various embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the present invention, they should also be regarded as the contents disclosed by the present invention.

Claims

1. A coal chemical process modeling method, characterized in that: The coal chemical process modeling method comprises: Determine the process properties of coal chemical processes; Based on the process attributes, the overall framework of the process flow is determined to obtain a process flow initialization model; wherein the overall framework includes basic nodes and basic node associations between basic nodes; the basic nodes include: organization nodes, regional nodes and production nodes; the production nodes include: device nodes, storage tank nodes, storage location nodes, and entry and exit point nodes; Establishing an input-output model, and using the input-output model to calculate a device consumption coefficient of a device node; wherein the device consumption coefficient includes a direct consumption coefficient or a complete consumption coefficient; Determine the node attributes of the basic node; wherein the node attributes are the exclusive attributes of each basic node; Using the node attributes of the basic node to call the business parameters of the basic node; wherein the business parameters are dynamic business parameters of the basic node; The node attributes and business parameters are loaded onto the corresponding basic nodes in the initialization model, and the consumption coefficient and input-output model are loaded onto the corresponding device nodes in the initialization model to obtain a process flow model.

2. The coal chemical process modeling method according to claim 1, characterized in that: The direct consumption coefficient is obtained as follows: a ij = x ij / X j ; where a ij is the direct consumption coefficient, x ij is the value of the products of department i consumed in the production of product j, and Xj is the total output of department j.

3. The coal chemical process modeling method according to claim 1, characterized in that: The total consumption coefficient is obtained as follows: B = 1 / (I - A) - I; Among them, B is the complete consumption coefficient matrix, A is the direct consumption coefficient matrix, and I is the unit matrix.

4. The coal chemical process modeling method according to claim 1, characterized in that: The method further comprises: Determine the node display parameters of the base node; The node display parameters are loaded on the corresponding basic nodes in the initialization model.

5. The coal chemical process modeling method according to claim 1, characterized in that: The basic node associations between basic nodes include: basic level associations, organizational node associations, and regional node associations; Among them, the basic level association is used to indicate the association between the organization node, the area node and the device node; The organization node association is a tree-like hierarchical association consisting of multiple nodes in the enterprise node, factory node, branch node, center node, workshop node, and team node; Regional node association is used to indicate the material flow or energy flow within a regional node.

6. The coal chemical process modeling method according to claim 5, characterized in that: Each regional node includes a plurality of device nodes; The region node association is obtained in the following way: Determine the materials circulating in the regional node, and the circulation side lines of the materials between multiple device nodes in the regional node; wherein the materials include: raw materials, intermediate materials and products; A sideline connection of a plurality of device nodes in a regional node is established based on the circulation sideline of the material to obtain the regional node association.

7. The coal chemical process modeling method according to claim 5, characterized in that: Each regional node includes a plurality of device nodes; The region node association is obtained in the following way: Determine the energy flowing within the regional node and the flow path of the energy between multiple device nodes within the regional node; wherein the energy includes: electrical energy, thermal energy, mechanical energy and chemical energy; A connection between a plurality of device nodes within a regional node is established based on a flow path of energy, thereby obtaining the regional node association.

8. A coal chemical process modeling device, characterized in that: The coal chemical process modeling device comprises: A process attribute determination module is used to determine the process attributes of the coal chemical process; A process flow initialization model determination module is used to determine the overall framework of the process flow based on the process attributes to obtain a process flow initialization model; wherein the overall framework includes basic nodes and basic node associations between basic nodes; the basic nodes include: organization nodes, regional nodes and production nodes; the production nodes include: device nodes, storage tank nodes, storage location nodes, and entry and exit point nodes; A device consumption coefficient determination module is used to establish an input-output model and calculate the device consumption coefficient of the device node using the input-output model; wherein the device consumption coefficient includes a direct consumption coefficient or a complete consumption coefficient; A node attribute determination module, used to determine the node attributes of the basic node; wherein the node attributes are the exclusive attributes of each basic node; A business parameter determination module, used to call the business parameters of the basic node by using the node attributes of the basic node; wherein the business parameters are dynamic business parameters of the basic node; The process flow model determination module is used to load the node attributes and business parameters on the corresponding basic nodes in the initialization model, and load the consumption coefficient and input-output model on the corresponding device nodes in the initialization model to obtain the process flow model.

9. A processor, characterized in that: The method is configured to execute the coal chemical process modeling method described in any one of claims 1 to 7.

10. A machine-readable storage medium having instructions stored thereon, characterized in that: When the instruction is executed by a processor, the processor is configured to execute the coal chemical process modeling method described in any one of claims 1 to 7.

Images