Chemical plant management method and system based on digital twinborn technology

Abstract

The invention provides a chemical plant management method and system based on a digital twinborn technology, and the method comprises the steps: setting a sensor at a preset position of a chemical plant, obtaining the basic data of the chemical plant through the sensor, and constructing a chemical plant digital twinborn model through the digital twinborn technology based on the three-dimensional data and basic data of the chemical plant; according to the radiation data, the partition medium refractive index, the radiation field accumulation factor and a chemical plant digital twinborn model, a preset monitoring point location is used as a radiation source, and the radiation quantity of each space point location is calculated through a spherical propagation model; according to coordinate information and orientation information of each spatial point location in the chemical plant digital twinborn model, determining an optimal inspection route from the starting point location to the ending point location by adopting a three-dimensional A * path algorithm; and inspecting the chemical plant according to the optimal inspection route. The embodiment of the invention provides a high-efficiency chemical plant management method, and designs an inspection route with relatively small radiation quantity, so as to ensure the body health of inspection personnel.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a chemical plant management method and system based on digital twin technology. Background Art

[0002] Modern factories use digital twin technology to perform three-dimensional modeling and simulation of engineering environments, workshop buildings, and production equipment within workshops, making it easier for managers to manage enterprise production. They can simulate real-time three-dimensional display of various production indicators and data, and make supporting data statistical analysis for decision-making, thereby improving enterprise management efficiency.

[0003] For factories engaged in precision production, professional personnel are often required to be dispatched regularly to monitor and inspect production and processing equipment. Traditional management of factory equipment relies on specialists to regularly observe and record the real-time dynamics of the equipment, such as the current operating status of the equipment, the progress of processing files, and the working status. This manual inspection method is not only inefficient, but also due to the radiation in chemical plants, if a suitable inspection route cannot be designed, it will cause serious damage to the health of the inspectors. Summary of the invention

[0004] The present invention provides a chemical plant management method and system based on digital twin technology, the main purpose of which is to provide an efficient chemical plant management method and design an inspection route with less radiation to ensure the health of inspection personnel.

[0005] In a first aspect, an embodiment of the present invention provides a chemical plant management method based on digital twin technology, including:

[0006] A sensor is set at a preset position of the chemical plant, basic data of the chemical plant is obtained through the sensor, and a digital twin model of the chemical plant is constructed through the digital twin technology based on the three-dimensional data of the chemical plant and the basic data, wherein the three-dimensional data includes plant structure data and equipment structure data, and the basic data includes radiation data, equipment operation data and environmental data;

[0007] According to the radiation data, the refractive index of the partition medium, the radiation field accumulation factor and the digital twin model of the chemical plant, the preset monitoring points are used as radiation sources, and the radiation amount of each spatial point is calculated using a spherical propagation model;

[0008] According to the coordinate information and orientation information of each spatial point in the digital twin model of the chemical plant, a three-dimensional A* path algorithm is used to determine the optimal inspection route from the starting point to the end point, wherein the path cost of the three-dimensional A* path algorithm is determined by the inspection time and the accumulated radiation amount;

[0009] The chemical plant is inspected according to the optimal inspection route.

[0010] Furthermore, the chemical plant management method further comprises:

[0011] According to the radiation amount of each spatial point, combined with the batch processing strategy and the asynchronous D-point algorithm, the radiation intensity is rendered in color in batches at each spatial point, layer by layer from the outside to the inside, so as to intuitively display the radiation intensity of each spatial point.

[0012] Furthermore, according to the coordinate information and orientation information of each spatial point in the digital twin model of the chemical plant, a three-dimensional A* path algorithm is used to determine the best inspection route from the starting point to the end point, and the steps include:

[0013] The digital twin model of the chemical plant is used to evenly divide the spatial scene of the chemical plant into a plurality of grid blocks, wherein the coordinate information and orientation information of the grid blocks are determined by the coordinate information and orientation information of the spatial points contained in the grid blocks, and the radiation amount of the grid blocks is determined by the radiation amount of the contained spatial points;

[0014] Using the three-dimensional A* path algorithm, combined with the coordinate information and orientation information of each grid block, each candidate grid block after the current grid block is determined, and the cumulative radiation from the starting grid block to each candidate grid block is calculated, wherein the cumulative radiation is obtained by adding the radiation of each grid block passed on the path, and the starting grid block is determined according to the starting point position;

[0015] According to the road condition information and the average speed of the inspectors, the inspection time on the path corresponding to each candidate grid block is calculated;

[0016] The weighted values ​​of the inspection time and the accumulated radiation of each path are used as the path cost of the three-dimensional A* path algorithm, the best grid block is selected from each candidate grid block, and the best grid block is used as the current grid block again;

[0017] Repeat the above steps until reaching the terminal grid block to determine the best inspection path, wherein the terminal grid block is determined according to the terminal position.

[0018] Furthermore, according to the radiation data, the refractive index of the partition medium, the radiation field accumulation factor and the digital twin model of the chemical plant, the preset monitoring points are used as radiation sources, and the radiation amount of each spatial point is calculated using a spherical propagation model, and the steps include:

[0019] A spherical propagation model is established with the preset monitoring point as the sphere center;

[0020] For a spatial point that is only transmitted through the air from the preset monitoring point, the radiation intensity of the spatial point is calculated according to the spherical propagation model and the propagation degradation coefficient;

[0021] For a spatial point that propagates from the preset monitoring point only through the partition medium, the radiation intensity is calculated according to the spherical propagation model and the refractive index of the partition medium;

[0022] For a spatial point that is reached from the preset monitoring point through both air transmission and isolation medium transmission, the radiation intensities in the air and in the medium are calculated respectively, and then superimposed to obtain the radiation amount of the spatial point.

[0023] Furthermore, according to the radiation amount of each spatial point, the batch processing strategy and the asynchronous D-point algorithm are combined to render the radiation intensity in batches and layer by layer from the outside to the inside at each spatial point with colors, and the steps include:

[0024] Based on the spatial geometry of the chemical plant and the distribution characteristics of the radiation value, the spatial point is divided into a plurality of areas;

[0025] Divide the area according to the distance from the radiation source, and use the asynchronous D-point algorithm to calculate the radiation value of each area in turn according to the order of distance from the radiation source;

[0026] Color rendering is performed on each region in turn according to the radiation value of each region. In the rendering process, point D of each region is used as the center and the color corresponding to the radiation value of each region is used for rendering.

[0027] Furthermore, the chemical plant management method further comprises:

[0028] Conducting a real-time comprehensive analysis of the production line based on the equipment operation data to determine comprehensive data of each production line;

[0029] Inputting the comprehensive data of each production line into the digital twin model of the chemical plant, outputting the real-time operating status of each production line, and obtaining the predicted generation status of the chemical plant based on the real-time operating status of each production line;

[0030] Perform an abnormal traversal on the real-time production status based on the predicted generation status, and obtain an abnormal production line according to the abnormal traversal result;

[0031] Perform real-time operation status traversal on each device in the abnormal production line, extract abnormal operation status results, perform real-time production status traversal on the abnormal production line, extract abnormal production status results, perform real-time energy consumption traversal on each device in the abnormal production line, extract abnormal energy consumption results;

[0032] Based on the abnormal production status structure, abnormal operation status results, and abnormal energy consumption results, a factory operation early warning instruction is generated and an alarm is issued.

[0033] Furthermore, the chemical plant management method further comprises:

[0034] The digital twin model of the chemical plant is used to realize monitoring of electronic fence intrusion judgment, smoke and flame detection, and water and oil leakage detection.

[0035] In a second aspect, an embodiment of the present invention provides a chemical plant management system based on digital twin technology, including:

[0036] An acquisition module is used to set a sensor at a preset position of the chemical plant, obtain basic data of the chemical plant through the sensor, and build a digital twin model of the chemical plant through digital twin technology based on the three-dimensional data of the chemical plant and the basic data, wherein the three-dimensional data includes plant structure data and equipment structure data, and the basic data includes radiation data, equipment operation data and environmental data;

[0037] A radiation module is used to calculate the radiation amount of each spatial point using a spherical propagation model based on the radiation data, the refractive index of the partition medium, the radiation field accumulation factor and the digital twin model of the chemical plant, taking the preset monitoring points as radiation sources;

[0038] A path module, used to determine the best inspection route from the starting point to the end point using a three-dimensional A* path algorithm according to the coordinate information and orientation information of each spatial point in the digital twin model of the chemical plant, wherein the path cost of the three-dimensional A* path algorithm is determined by the inspection time and the accumulated radiation;

[0039] An inspection module is used to inspect the chemical plant according to the optimal inspection route.

[0040] In a third aspect, an embodiment of the present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned chemical plant management method based on digital twin technology when executing the computer program.

[0041] In a fourth aspect, an embodiment of the present invention provides a computer storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the above-mentioned chemical plant management method based on digital twin technology.

[0042] The present invention proposes a chemical plant management method and system based on digital twin technology. First, sensors are set at preset positions of the chemical plant, and these sensors are used to collect basic data of the chemical plant. Based on the basic data and the three-dimensional data of the chemical plant, a digital twin model of the chemical plant is constructed using digital twin technology; then, radiation data, refractive index of the partition medium, and radiation field accumulation factor are input into the digital twin model of the chemical plant, and the preset monitoring points are used as radiation sources to calculate the radiation amount of each spatial point using a spherical propagation model; then, based on the coordinate information and orientation information of each spatial point in the digital twin model of the chemical plant, a three-dimensional A* path algorithm is used to determine the optimal inspection route from the starting point to the end point, and the optimal inspection route is determined using the inspection time and the accumulated radiation as the path cost; finally, the chemical plant is inspected according to the optimal inspection route.

[0043] The embodiment of the present invention utilizes a digital twin model of a chemical plant to digitally simulate a chemical plant. Through the digital twin model of the chemical plant, the current operating status of the equipment in the chemical plant, the progress of processing files, etc. can be understood in real time without manual recording, thereby improving the management efficiency of the chemical plant; the radiation data collected by pre-set sensors is used to calculate the radiation amount of each spatial point in the chemical plant, and the three-dimensional A* path algorithm is combined to determine the optimal inspection route with the minimum inspection time and cumulative radiation path cost, so that the staff is exposed to the minimum radiation when inspecting the chemical plant, thereby ensuring the health of the staff. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A flow chart of a chemical plant management method based on digital twin technology provided by an embodiment of the present invention;

[0045] Figure 2 A flow chart of a method for calculating the radiation amount of a spatial point provided by an embodiment of the present invention;

[0046] Figure 3 A flowchart of a method for determining an optimal inspection route provided by an embodiment of the present invention;

[0047] Figure 4 A schematic diagram of the structure of a chemical plant management system based on digital twin technology provided by an embodiment of the present invention;

[0048] Figure 5 A schematic diagram of the structure of a computer device is provided for an embodiment of the present invention.

[0049] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0050] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0051] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present application.

[0052] In the embodiments of the present application, at least one refers to one or more; multiple refers to two or more. In the description of the present application, words such as "first", "second", "third", etc. are only used to distinguish the purpose of description, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implying order. In addition, the terms "first" and "second" are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0053] References to "one embodiment" or "some embodiments" etc. described in this specification mean that one or more embodiments of the present application include a particular feature, structure or characteristic described in conjunction with the embodiment. Thus, in this specification, the terms "include", "comprises", "has" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0054] Figure 1 A flow chart of a chemical plant management method based on digital twin technology provided by an embodiment of the present invention, such as Figure 1 As shown, the method includes:

[0055] S110, setting a sensor at a preset position of the chemical plant, obtaining basic data of the chemical plant through the sensor, and building a digital twin model of the chemical plant through digital twin technology based on the three-dimensional data of the chemical plant and the basic data, wherein the three-dimensional data includes plant structure data and equipment structure data, and the basic data includes radiation data, equipment operation data, and environmental data;

[0056] A digital twin model is a digital model that is built in a virtual space through digital technology and is completely consistent with a physical entity. It can reflect the state, behavior, environment and other aspects of the physical entity in real time. The digital twin model has the characteristics of high fidelity and can accurately replicate the geometry, physical properties and functions of the physical entity. The digital twin model also has the characteristics of real-time synchronization and keeps dynamic synchronization with the physical entity. Any changes in the physical entity will be immediately reflected in the digital twin model. The digital twin model also has the characteristics of two-way interactivity. It can not only receive data from the physical entity, but also send instructions to the physical entity to realize the monitoring and control of the physical entity.

[0057] Based on this, in this embodiment, digital twin technology is used to model the physical entity of the chemical plant to obtain a digital twin model of the chemical plant. Based on the digital twin model of the chemical plant, the chemical plant is efficiently managed and the optimal inspection route of the chemical plant is designed.

[0058] Because the essence of the digital twin model of a chemical plant is to achieve information integration, it is necessary to set up sensors at preset locations in the chemical plant to collect basic data of the chemical plant through multiple sensors. The set sensors usually include physical quantity detection sensors, chemical composition analysis sensors and level sensors.

[0059] Physical quantity detection sensors include temperature sensors, pressure sensors, flow sensors and radiation monitors. For temperature sensors, their preset positions are on chemical equipment, reactors, pipelines and other equipment to measure the temperature of chemical equipment, reactors and pipelines. Since many chemical reactions in chemical production are very sensitive to temperature, accurate temperature control and real-time monitoring are essential. Temperature sensors can monitor various chemical reaction temperatures in real time. For pressure sensors, changes in pipeline pressure and pressure in containers in chemical plants may affect the progress of the reaction and the safe operation of equipment. Their preset positions are pipelines, reaction vessels, etc., to monitor the fluid pressure in pipelines and the internal pressure of reaction vessels. For flow sensors, since it is also very important to control the input and output of materials and ensure that chemical reactions proceed in a predetermined proportion, flow sensors are set in liquid pipelines or gas pipelines to measure the flow of liquid or gas in pipelines. For radiation monitors, the production workshop of a chemical plant contains multiple floors, and each floor also has multiple compartments. Radiation will be generated during chemical production. A certain number of radiation monitors will be arranged in the production workshop to measure radiation data in the chemical plant.

[0060] Chemical composition analysis sensors include gas sensors, pH sensors, and ion-selective electrode sensors. Gas sensors are generally installed in the production environment to detect the concentration of specific gases in the production environment and during the reaction process, for example, to detect the leakage of flammable and explosive gases (such as hydrogen, methane, etc.), or to monitor the concentration of toxic gases (such as carbon monoxide, hydrogen sulfide, etc.) to ensure production safety. The pH sensor is installed in the reaction vessel to measure the pH of the solution. In many chemical reactions, the control of the pH value directly affects the reaction products and reaction rate. The ion-selective electrode sensor is installed in the reaction vessel to detect the concentration of specific ions in the solution. In chemical production, the concentration control of certain specific ions is a key factor in ensuring product quality.

[0061] Level sensors include ultrasonic level sensors and radar level sensors. Ultrasonic level sensors measure the height of liquid or solid materials in a container by emitting and receiving ultrasonic waves. They are usually installed in various chemical storage tanks, reactors and other equipment to monitor the liquid level or material level of various chemical storage tanks, reactors and other equipment. Radar level sensors use the principle of radar wave reflection to measure the level. They are not affected by environmental factors such as temperature, pressure, and steam, and are suitable for complex chemical working conditions.

[0062] Therefore, by setting the above sensors at preset locations in the chemical plant, the basic data of the chemical plant is collected, including radiation data, equipment operation data and environmental data. The equipment operation data includes gas concentration, pH concentration, ion concentration, and environmental data includes temperature, pressure, flow, level, etc. By collecting the basic data of the chemical plant, the virtual chemical plant can be replicated in a 1:1 manner with the real chemical plant production environment, providing data support for the subsequent construction of the digital twin factory.

[0063] Then, based on the three-dimensional data and basic data of the chemical plant, a digital twin model is constructed using modeling tools and technologies to obtain a digital twin model of the chemical plant, wherein the modeling tool can be CAD software, and the modeling technology can be three-dimensional modeling technology or physical modeling technology. The three-dimensional data of the chemical plant includes plant area structure data and equipment structure data, which can be known from the design drawings of the chemical plant. The plant area structure data includes plant area size, corridor size and location, reaction chamber size and location, etc., and the equipment structure data includes equipment model, weight, type, etc.

[0064] S120, according to the radiation data, the refractive index of the partition medium, the radiation field accumulation factor and the digital twin model of the chemical plant, the preset monitoring points are used as radiation sources, and the radiation amount of each spatial point is calculated using a spherical propagation model;

[0065] In this embodiment, the radiation data, the refractive index of the partition medium, and the radiation field accumulation factor are input into the twin digital model of the chemical plant. In the process of calculating the radiation amount, the preset monitoring point is used as the radiation source, and a certain propagation decline coefficient is set. There is reflection and refraction at the partition medium. The radiation amount value of each point in the space is calculated according to the setting conditions, and the calculation can be calculated to centimeter accuracy. Among them, the preset monitoring point can be the location of the radiation monitor, that is, the location of the radiation monitor is the radiation source, and it is evenly propagated around along the radiation source in the manner of a spherical propagation model. The spherical propagation model is based on the principle that energy diffuses outward from the radiation source in a spherical form, and the radiation intensity is inversely proportional to the square of the distance.

[0066] Among them, each spatial point can be determined by the following method: set a three-dimensional rectangular coordinate system in the chemical plant, usually select a fixed reference point as the origin, such as a corner of the plant or the center of a specific device, and determine its coordinates by measuring the distance between the point and the origin in the three coordinate axes (X, Y, Z). For example, for a chemical plant with a length, width, and height of 100m, 80m, and 30m respectively, if the point on the ground at the lower left corner of the plant is set as the origin (0, 0, 0), a spatial point located inside the plant 40m away from the origin in the X direction, 30m in the Y direction, and 15m in the Z direction, its coordinates are (40, 30, 15).

[0067] It should be noted that the refractive index of the partition medium refers to the ratio of the propagation speed of the radiation in a vacuum to the propagation speed of the radiation in the partition medium, which is predetermined. The radiation field accumulation factor is a correction factor that describes the increase in radiation intensity due to scattering when the radiation passes through the medium. It takes into account the influence of multiple scattering of radiation in the medium and reflects the difference between the actual radiation field intensity and the radiation field intensity without scattering correction.

[0068] As an implementation method, Figure 2 A flow chart of a method for calculating the radiation amount of a spatial point provided by an embodiment of the present invention, such as Figure 2 As shown, in step 120, according to the radiation data, the refractive index of the partition medium, the radiation field accumulation factor and the digital twin model of the chemical plant, the preset monitoring points are used as radiation sources, and the radiation amount of each spatial point is calculated using a spherical propagation model, and the steps include:

[0069] S121, establishing a spherical propagation model with the preset monitoring point as the sphere center;

[0070] In this embodiment, the radiation value (I0) at the location of the radiation monitor, the refractive index (n) of the partition medium, the radiation field accumulation factor (F) and the propagation degradation coefficient (k) are first determined, and then a spherical propagation model is established based on these parameters.

[0071] The monitoring point where the radiation monitor is located is taken as the center of the sphere, and the radiation is evenly spread in all directions. For a certain spatial point r away from the radiation monitor, the radiation intensity I(r) of the spatial point can be initially expressed as I(r) = I0×k r .

[0072] S122, for a spatial point that is only transmitted through the air from the preset monitoring point, calculating the radiation intensity of the spatial point according to the spherical propagation model and the propagation degradation coefficient;

[0073] For a spatial point that propagates from the preset monitoring point only through the partition medium, the radiation intensity is calculated according to the spherical propagation model and the refractive index of the partition medium;

[0074] For a spatial point that is reached from the preset monitoring point through both air transmission and isolation medium transmission, the radiation intensities in the air and in the medium are calculated respectively, and then superimposed to obtain the radiation amount of the spatial point.

[0075] The principle of radial propagation is as follows:

[0076] (1) When radiation propagates to the separating medium, part of the radiation will be reflected and part will be refracted into the medium. For the reflected part: According to the Fresnel reflection formula, the reflection coefficient R can be calculated, and the radiation intensity after reflection is I reflected =I(r)×R; For the refraction part: According to Snell's law, calculate the refraction angle and refraction coefficient T, and the radiation intensity after refraction is I refracted =I(r)×T.

[0077] (2) For radiation refracted by the separating medium, when it continues to propagate in the medium, its radiation intensity will be affected by the medium. Considering that the propagation degradation coefficient in the medium may be different from that in the air, it is denoted by k medium At the same time, since the radiation field accumulation factor may also be different in different media, it is denoted as F medium .

[0078] At a point in the medium, the distance from the point of entry into the medium is d, and its radiation intensity can be expressed as:

[0079]

[0080] Based on the above principle, when calculating the radiation value of each point in space in this embodiment, for points in the air, the radiation intensity is directly calculated according to the spherical propagation model and the propagation degradation coefficient. For points in the isolation medium, the radiation intensity is calculated according to the radiation propagation model in the above medium. For points that propagate both in the air and through the isolation medium, it is necessary to calculate the radiation intensity in the air and in the medium separately, and then superimpose them.

[0081] For example, it first propagates a distance r1 in the air, then propagates a distance d through the partition medium, and then propagates a distance r2 in the air to reach a certain spatial point. The radiation intensity of the spatial point is:

[0082]

[0083] Through the above steps, the radiation value of each point in space can be calculated according to the given parameters. In actual calculations, appropriate simplification and approximation may be required according to the specific situation. At the same time, numerical calculations can be performed with the help of computer programs to improve calculation efficiency and accuracy.

[0084] S130, according to the coordinate information and orientation information of each spatial point in the digital twin model of the chemical plant, a three-dimensional A* path algorithm is used to determine the best inspection route from the starting point to the end point, wherein the path cost of the three-dimensional A* path algorithm is determined by the inspection time and the accumulated radiation amount;

[0085] Among them, the orientation information of each spatial point can be obtained from the plant structure information and has been determined when designing the chemical plant.

[0086] It should be noted that the A* algorithm is a heuristic search algorithm used to find the shortest path from the starting point to the end point in three-dimensional space. The algorithm combines the "length of the path that has been traveled" and the "estimated distance to the target" to narrow the search range and improve the search efficiency.

[0087] As an implementation method, Figure 3 A flowchart of a method for determining an optimal inspection route provided by an embodiment of the present invention is shown in FIG. Figure 3 As shown, in step S130, according to the coordinate information and orientation information of each spatial point in the digital twin model of the chemical plant, a three-dimensional A* path algorithm is used to determine the best inspection route from the starting point to the end point, and the steps include:

[0088] S131, using the digital twin model of the chemical plant, evenly dividing the spatial scene of the chemical plant into a plurality of grid blocks, wherein the coordinate information and orientation information of the grid blocks are determined by the coordinate information and orientation information of the spatial points contained in the grid blocks, and the radiation amount of the grid blocks is determined by the radiation amount of the contained spatial points;

[0089] If each spatial point in the chemical plant is regarded as a grid block, the computational complexity of the three-dimensional A* path algorithm will be greatly increased. Therefore, in this embodiment, the spatial scene of the chemical plant is evenly divided into multiple grid blocks. A grid block includes a certain number of spatial points. The coordinate information and orientation information of the grid block are determined by the coordinate information and orientation information of the spatial points contained in the grid block. For example, the average value of the coordinates of all the contained spatial points is used as the coordinate of the grid block, and the orientation of the contained spatial points is used as the orientation of the grid block.

[0090] For example, a chemical plant space scene is modeled in 3D and divided into uniform 3D grid blocks. Each grid block can be represented by coordinates (x, y, z) to record its position in space.

[0091] Determine the resolution of the grid blocks and adjust it according to the size and accuracy requirements of the chemical plant. Higher resolution can provide more detailed path planning, but the calculation amount will also increase accordingly.

[0092] S132, using a three-dimensional A* path algorithm, combined with coordinate information and orientation information of each grid block, to determine each candidate grid block after the current grid block, and calculate the cumulative radiation amount from the starting grid block to each candidate grid block, wherein the cumulative radiation amount is obtained by adding the radiation amount of each grid block passed on the path, and the starting grid block is determined according to the starting point position;

[0093] Then, the three-dimensional A* path algorithm is used to determine each candidate grid block after the current grid block. The candidate grid block is the grid block that the current grid block may pass through next. The next grid block is selected from all the candidate grid blocks, and the cumulative radiation of each candidate grid block is calculated.

[0094] The implementation principle of the three-dimensional A* path algorithm is as follows: The A* algorithm is a heuristic search algorithm used to find the shortest path from the starting point to the target point in a graph. In three-dimensional space, grid points are regarded as nodes of the graph, and the connections between nodes represent feasible movement directions. The algorithm manages the search process by maintaining an open list and a closed list. The open list stores the nodes to be explored, and the closed list stores the nodes that have been explored.

[0095] For each node, an evaluation function f(n) = g(n) + h(n) is calculated, where g(n) is the actual cost from the starting point to the current node, and h(n) is the estimated cost from the current node to the target point. The algorithm selects the node with the smallest f(n) value for expansion.

[0096] During the path search process, for each expanded node (i.e., candidate grid block), the cumulative radiation from the starting point to the node is calculated. The cumulative radiation can be obtained by adding the radiation intensity values ​​of each grid point passed on the path. The cumulative radiation is used as part of the path cost and is used together with the travel distance to participate in the calculation of the evaluation function. The weight of the radiation in the evaluation function can be adjusted according to actual needs.

[0097] S133, calculating the inspection time on the path corresponding to each candidate grid block according to the road condition information and the average travel speed of the inspection personnel;

[0098] Then, the inspection time on the path corresponding to each candidate grid block is calculated based on the road condition information and the average speed of the inspectors. The road condition information includes the width, slope, obstacles, etc. of the channel, which can affect the feasibility and speed of the inspection path.

[0099] The inspection time estimation method is as follows: according to the road condition information and the average speed of the inspectors, the inspection time on different paths is estimated. The influence of factors such as channel width, slope, and obstacles on the travel speed is considered. The inspection time can be used as another factor of the path cost and be weighted together with the cumulative radiation.

[0100] S134, taking the weighted value of the inspection time and the accumulated radiation of each path as the path cost of the three-dimensional A* path algorithm, selecting the best grid block from each candidate grid block, and reusing the best grid block as the current grid block;

[0101] The inspection time and cumulative radiation of each path are weighted and summed to calculate the path cost of each path. The specific weight can be determined according to the actual situation, and the embodiment of the present invention does not specifically limit this. Taking the minimum path cost as an indicator, the best grid block is selected from all candidate grid blocks, and the best grid block is re-used as the current grid block.

[0102] The path cost is calculated as follows: weights are assigned to the inspection duration and the cumulative radiation amount, respectively, and the importance of the two is determined according to the actual situation. For example, if radiation safety is the primary consideration, a higher weight can be assigned to the cumulative radiation amount; if time efficiency is more important, a higher weight can be assigned to the inspection duration.

[0103] For each candidate path, calculate its weighted score. The weighted score can be calculated by the following formula: Score = w1*Radiation+w2*Time, where Radiation is the cumulative radiation, Time is the inspection time, and w1 and w2 are the weights of the radiation and inspection time, respectively.

[0104] Compare the weighted scores of all candidate paths and select the path with the best score as the optimal path. The optimal path should strike a balance between radiation safety and time efficiency to meet the inspection requirements. Through the above scheme, the three-dimensional A* path algorithm and weighted considerations can be combined to design an optimal path with the minimum radiation and reasonable inspection time for chemical plant inspections, thereby improving the safety and efficiency of inspections.

[0105] It is easy to understand that each candidate grid block can represent a candidate path, and an optimal path needs to be selected from these paths.

[0106] S135, repeat the above steps until reaching the terminal grid block, and determine the best inspection path, wherein the terminal grid block is determined according to the terminal position.

[0107] Repeat the above steps until the current grid block is the end grid block, and the best grid block determined in each cycle is used as the best inspection path.

[0108] S140: inspect the chemical plant according to the optimal inspection route.

[0109] The staff inspects the chemical plant according to the determined optimal inspection route.

[0110] The present invention proposes a chemical plant management method based on digital twin technology. First, sensors are set at preset positions of the chemical plant, and these sensors are used to collect basic data of the chemical plant. Based on the basic data and the three-dimensional data of the chemical plant, a digital twin model of the chemical plant is constructed by using digital twin technology; then, radiation data, refractive index of the partition medium, and radiation field accumulation factor are input into the digital twin model of the chemical plant, and preset monitoring points are used as radiation sources to calculate the radiation amount of each spatial point using a spherical propagation model; then, according to the coordinate information and orientation information of each spatial point in the digital twin model of the chemical plant, a three-dimensional A* path algorithm is used to determine the best inspection route from the starting point to the end point, and the best inspection route is determined by the inspection time and the accumulated radiation as the path cost; finally, the chemical plant is inspected according to the best inspection route.

[0111] The embodiment of the present invention utilizes a digital twin model of a chemical plant to digitally simulate a chemical plant. Through the digital twin model of the chemical plant, the current operating status of the equipment in the chemical plant, the progress of processing files, etc. can be understood in real time without manual recording, thereby improving the management efficiency of the chemical plant; the radiation data collected by pre-set sensors is used to calculate the radiation amount of each spatial point in the chemical plant, and the three-dimensional A* path algorithm is combined to determine the optimal inspection route with the minimum inspection time and cumulative radiation path cost, so that the staff is exposed to the minimum radiation when inspecting the chemical plant, thereby ensuring the health of the staff.

[0112] In some embodiments, the chemical plant management method further comprises:

[0113] According to the radiation amount of each spatial point, combined with the batch processing strategy and the asynchronous D-point algorithm, the radiation intensity is rendered in color in batches at each spatial point, layer by layer from the outside to the inside, so as to intuitively display the radiation intensity of each spatial point.

[0114] Among them, the batch processing strategy refers to dividing all spatial points into several small areas. According to the division of spatial areas, these areas are divided into different batches according to certain rules, so that subsequent rendering is performed in batches, which can improve the rendering efficiency of spatial points.

[0115] The application of asynchronous D-point algorithm refers to selecting some representative points (D points) in each small area. The radiation values ​​of these points can represent the radiation situation of the entire small area. Asynchronous calculation can improve the calculation efficiency and avoid jamming during the calculation process. Asynchronous calculation can be implemented by multi-threading or distributed computing.

[0116] As an implementation method, according to the radiation amount of each spatial point, combined with the batch processing strategy and the asynchronous D-point algorithm, the radiation intensity is rendered in color in batches at each spatial point, layer by layer from the outside to the inside, and the steps include:

[0117] Based on the spatial geometry of the chemical plant and the distribution characteristics of the radiation value, the spatial point is divided into a plurality of areas;

[0118] Divide the area according to the distance from the radiation source, and use the asynchronous D-point algorithm to calculate the radiation value of each area in turn according to the order of distance from the radiation source;

[0119] Color rendering is performed on each region in turn according to the radiation value of each region. In the rendering process, point D of each region is used as the center and the color corresponding to the radiation value of each region is used for rendering.

[0120] The steps to prepare the batch processing strategy are as follows: (i) Divide the spatial area. Divide the three-dimensional space of the entire chemical plant into several small areas. The division can be based on the geometric shape of the space and the distribution characteristics of the radiation value. For example, the space can be divided into cubic grids, and each grid is a small area. (ii) Determine the batches. According to the division of the spatial area, these areas are divided into different batches according to certain rules. For example, it can be divided according to the distance from the radiation source. The areas farther away from the radiation source can be used as the first batch, and the areas closer to the radiation source can be used as the subsequent batches. In this way, loading and rendering can be achieved from the outside to the inside in a progressive manner.

[0121] The application steps of the asynchronous D-point algorithm are as follows: (i) Selection of D-points: select some representative points (D-points) in each area. The radiation values ​​of these points can represent the radiation conditions of the entire small area. When selecting D-points, representative points such as the center position and boundary position of the area can be considered. (ii) Asynchronous calculation: use the asynchronous D-point algorithm to asynchronously calculate the radiation values ​​of the D-points in each batch. Asynchronous calculation can improve calculation efficiency and avoid jamming during the calculation process. Asynchronous calculation can be implemented using multi-threading or distributed computing.

[0122] When calculating the radiation value of each point D, interpolation or approximate calculation can be performed based on the previously calculated radiation values ​​of each point in the space to increase the calculation speed.

[0123] The steps for color block rendering are as follows: (i) Establish a mapping relationship between radiation and color, determine a range of radiation values, divide this range into several intervals, and each interval corresponds to a color. For example, intervals with lower radiation values ​​correspond to light blue, and intervals with higher radiation values ​​correspond to red. (ii) Render color blocks and determine the corresponding color based on the radiation value of each point D. Then, with each point D as the center, render a small color block with the corresponding color. The size of the color block can be adjusted according to the size of the small area and the degree of change in the radiation value.

[0124] For each point D in each batch, color blocks are rendered in sequence according to the results of asynchronous calculation. This allows batch loading and rendering to be achieved, avoiding performance issues caused by rendering all areas at once.

[0125] Finally, the steps of progressive loading and rendering are as follows: (i) Batch control: Process each batch in turn according to the predetermined batch order. When the rendering of point D in one batch is completed, the rendering of the next batch will begin. In this way, the loading and rendering effect of progressive loading from the outside to the inside can be achieved. (ii) Dynamic adjustment: During the rendering process, the batch size and rendering speed can be dynamically adjusted according to the user's interaction or the system's performance. For example, if the user is interested in a certain area, the batch to which the area belongs can be rendered first; if the system performance deteriorates, the batch size can be reduced and the rendering speed can be reduced.

[0126] In some embodiments, the chemical plant management method further comprises:

[0127] Conducting a real-time comprehensive analysis of the production line based on the equipment operation data to determine comprehensive data of each production line;

[0128] Inputting the comprehensive data of each production line into the digital twin model of the chemical plant, outputting the real-time operating status of each production line, and obtaining the predicted generation status of the chemical plant based on the real-time operating status of each production line;

[0129] Perform an abnormal traversal on the real-time production status based on the predicted generation status, and obtain an abnormal production line according to the abnormal traversal result;

[0130] Perform real-time operation status traversal on each device in the abnormal production line, extract abnormal operation status results, perform real-time production status traversal on the abnormal production line, extract abnormal production status results, perform real-time energy consumption traversal on each device in the abnormal production line, extract abnormal energy consumption results;

[0131] Based on the abnormal production status structure, abnormal operation status results, and abnormal energy consumption results, a factory operation early warning instruction is generated and an alarm is issued.

[0132] In this embodiment, a real-time comprehensive analysis of the production lines in the chemical plant is performed based on the equipment operation data to determine the comprehensive data of each production line, which includes production volume, production time, etc. Based on the comprehensive data and the digital twin model of the chemical plant, the real-time operation status of each production line is obtained, and all information in the real-time production status of the production line is accessed to extract abnormal production status results, such as a decrease in production volume, etc.; all information on the real-time operation status of the M devices in the production line is accessed to extract abnormal operation status results, such as non-working production equipment, etc.

[0133] Access all the real-time energy consumption information of the M devices in the production line, extract abnormal energy consumption results, such as abnormal power usage of production equipment, etc., and generate factory operation warning instructions based on abnormal production status results, abnormal operation status results, and abnormal energy consumption results. The factory operation warning instructions indicate that the production plant may have abnormal problems and need to be repaired in time.

[0134] The factory operation warning instructions are sent to the background management system, and the equipment or events that detect production anomalies, operation abnormalities and excessive energy consumption will be warned in real time to the background management interface, and the management personnel can remotely view, verify and handle them through the system in a timely manner.

[0135] This embodiment solves the technical problems of lag in traditional factory data management and errors caused by manual collection by building a digital twin factory, thereby achieving the technical effect of improving the accuracy and timeliness of factory data processing and avoiding production delays.

[0136] In some embodiments, the chemical plant management method further comprises:

[0137] The digital twin model of the chemical plant is used to realize monitoring of electronic fence intrusion judgment, smoke and flame detection, and water and oil leakage detection.

[0138] In this embodiment, the digital twin model of the chemical plant can also be used to perform electronic fence intrusion detection, smoke and flame detection, water and oil leakage detection, etc., to realize digital management of the chemical plant, eliminating the need for a large number of manpower to perform security and other work, and saving the management cost of the chemical plant.

[0139] Figure 4 A schematic diagram of a chemical plant management system based on digital twin technology provided by an embodiment of the present invention is shown in FIG. Figure 4 As shown, the system includes:

[0140] The acquisition module 410 is used to set sensors at preset positions of the chemical plant, obtain basic data of the chemical plant through the sensors, and build a digital twin model of the chemical plant through digital twin technology based on the three-dimensional data of the chemical plant and the basic data, wherein the three-dimensional data includes plant structure data and equipment structure data, and the basic data includes radiation data, equipment operation data, and environmental data;

[0141] The radiation module 420 is used to calculate the radiation amount of each spatial point using a spherical propagation model based on the radiation data, the refractive index of the partition medium, the radiation field accumulation factor and the digital twin model of the chemical plant, taking the preset monitoring points as radiation sources;

[0142] The path module 430 is used to determine the best inspection route from the starting point to the end point using a three-dimensional A* path algorithm according to the coordinate information and orientation information of each spatial point in the digital twin model of the chemical plant, wherein the path cost of the three-dimensional A* path algorithm is determined by the inspection time and the accumulated radiation amount;

[0143] The inspection module 440 is used to inspect the chemical plant according to the optimal inspection route.

[0144] This embodiment is a system embodiment corresponding to the above method embodiment, and its specific implementation process is the same as the above method embodiment. For details, please refer to the above method embodiment, and this system embodiment will not elaborate on it.

[0145] Each module in the above chemical plant management system can be implemented in whole or in part by software, hardware and a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module above.

[0146] Figure 5 A schematic diagram of the structure of a computer device is provided for an embodiment of the present invention. The computer device may be a server, and its internal structure diagram may be as follows: Figure 5As shown. The computer device includes a processor, a memory, a network interface and a database connected by a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a computer storage medium and an internal memory. The computer storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the computer storage medium. The database of the computer device is used to store data generated or acquired during the execution of a chemical plant management method based on digital twin technology, such as basic data and three-dimensional data of the chemical plant. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a chemical plant management method based on digital twin technology is implemented.

[0147] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of a chemical plant management method based on digital twin technology in the above embodiment are implemented. Alternatively, when the processor executes the computer program, the functions of each module / unit in this embodiment of a chemical plant management system based on digital twin technology are implemented.

[0148] In one embodiment, a computer storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of a chemical plant management method based on digital twin technology in the above embodiment are implemented. Alternatively, when the computer program is executed by a processor, the functions of each module / unit in the above embodiment of a chemical plant management system based on digital twin technology are implemented.

[0149] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0150] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0151] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A chemical plant management method based on digital twin technology, characterized in that: include: A sensor is set at a preset position of the chemical plant, basic data of the chemical plant is obtained through the sensor, and a digital twin model of the chemical plant is constructed through the digital twin technology based on the three-dimensional data of the chemical plant and the basic data, wherein the three-dimensional data includes plant structure data and equipment structure data, and the basic data includes radiation data, equipment operation data and environmental data; According to the radiation data, the refractive index of the partition medium, the radiation field accumulation factor and the digital twin model of the chemical plant, the preset monitoring points are used as radiation sources, and the radiation amount of each spatial point is calculated using a spherical propagation model; According to the coordinate information and orientation information of each spatial point in the digital twin model of the chemical plant, a three-dimensional A* path algorithm is used to determine the optimal inspection route from the starting point to the end point, wherein the path cost of the three-dimensional A* path algorithm is determined by the inspection time and the accumulated radiation amount; The chemical plant is inspected according to the optimal inspection route.

2. The chemical plant management method based on digital twin technology according to claim 1 is characterized in that: The chemical plant management method further comprises: According to the radiation amount of each spatial point, combined with the batch processing strategy and the asynchronous D-point algorithm, the radiation intensity is rendered in color in batches at each spatial point, layer by layer from the outside to the inside, so as to intuitively display the radiation intensity of each spatial point.

3. The chemical plant management method based on digital twin technology according to claim 1 is characterized in that: The steps of using a three-dimensional A* path algorithm to determine the best inspection route from the starting point to the end point according to the coordinate information and orientation information of each spatial point in the digital twin model of the chemical plant include: The digital twin model of the chemical plant is used to evenly divide the spatial scene of the chemical plant into a plurality of grid blocks, wherein the coordinate information and orientation information of the grid blocks are determined by the coordinate information and orientation information of the spatial points contained in the grid blocks, and the radiation amount of the grid blocks is determined by the radiation amount of the contained spatial points; Using the three-dimensional A* path algorithm, combined with the coordinate information and orientation information of each grid block, each candidate grid block after the current grid block is determined, and the cumulative radiation from the starting grid block to each candidate grid block is calculated, wherein the cumulative radiation is obtained by adding the radiation of each grid block passed on the path, and the starting grid block is determined according to the starting point position; According to the road condition information and the average speed of the inspectors, the inspection time on the path corresponding to each candidate grid block is calculated; The weighted values ​​of the inspection time and the accumulated radiation of each path are used as the path cost of the three-dimensional A* path algorithm, the best grid block is selected from each candidate grid block, and the best grid block is used as the current grid block again; Repeat the above steps until reaching the terminal grid block to determine the best inspection path, wherein the terminal grid block is determined according to the terminal position.

4. The chemical plant management method based on digital twin technology according to claim 1 is characterized in that: The step of calculating the radiation amount of each spatial point by using a spherical propagation model and taking a preset monitoring point as a radiation source according to the radiation data, the refractive index of the partition medium, the radiation field accumulation factor and the digital twin model of the chemical plant includes: A spherical propagation model is established with the preset monitoring point as the sphere center; For a spatial point that is only transmitted through the air from the preset monitoring point, the radiation intensity of the spatial point is calculated according to the spherical propagation model and the propagation degradation coefficient; For a spatial point that propagates from the preset monitoring point only through the partition medium, the radiation intensity is calculated according to the spherical propagation model and the refractive index of the partition medium; For a spatial point that is reached from the preset monitoring point through both air transmission and isolation medium transmission, the radiation intensities in the air and in the medium are calculated respectively, and then superimposed to obtain the radiation amount of the spatial point.

5. The chemical plant management method based on digital twin technology according to claim 2 is characterized in that: According to the radiation amount of each spatial point, combined with the batch processing strategy and the asynchronous D-point algorithm, the radiation intensity is rendered in color in batches at each spatial point, layer by layer from the outside to the inside, and the steps include: Based on the spatial geometry of the chemical plant and the distribution characteristics of the radiation value, the spatial point is divided into a plurality of areas; Divide the area according to the distance from the radiation source, and use the asynchronous D-point algorithm to calculate the radiation value of each area in turn according to the order of distance from the radiation source; Color rendering is performed on each region in turn according to the radiation value of each region. In the rendering process, point D of each region is used as the center and the color corresponding to the radiation value of each region is used for rendering.

6. The chemical plant management method based on digital twin technology according to any one of claims 1 to 5, characterized in that: The chemical plant management method further comprises: Conducting a real-time comprehensive analysis of the production line based on the equipment operation data to determine comprehensive data of each production line; Inputting the comprehensive data of each production line into the digital twin model of the chemical plant, outputting the real-time operating status of each production line, and obtaining the predicted generation status of the chemical plant based on the real-time operating status of each production line; Perform an abnormal traversal on the real-time production status based on the predicted generation status, and obtain an abnormal production line according to the abnormal traversal result; Perform real-time operation status traversal on each device in the abnormal production line, extract abnormal operation status results, perform real-time production status traversal on the abnormal production line, extract abnormal production status results, perform real-time energy consumption traversal on each device in the abnormal production line, extract abnormal energy consumption results; Based on the abnormal production status structure, abnormal operation status results, and abnormal energy consumption results, a factory operation early warning instruction is generated and an alarm is issued.

7. The chemical plant management method based on digital twin technology according to any one of claims 1 to 5, characterized in that: The chemical plant management method further comprises: The digital twin model of the chemical plant is used to realize monitoring of electronic fence intrusion judgment, smoke and flame detection, and water and oil leakage detection.

8. A chemical plant management system based on digital twin technology, characterized in that: include: An acquisition module is used to set a sensor at a preset position of the chemical plant, obtain basic data of the chemical plant through the sensor, and build a digital twin model of the chemical plant through digital twin technology based on the three-dimensional data of the chemical plant and the basic data, wherein the three-dimensional data includes plant structure data and equipment structure data, and the basic data includes radiation data, equipment operation data and environmental data; A radiation module is used to calculate the radiation amount of each spatial point using a spherical propagation model based on the radiation data, the refractive index of the partition medium, the radiation field accumulation factor and the digital twin model of the chemical plant, taking the preset monitoring points as radiation sources; A path module, used to determine the best inspection route from the starting point to the end point using a three-dimensional A* path algorithm according to the coordinate information and orientation information of each spatial point in the digital twin model of the chemical plant, wherein the path cost of the three-dimensional A* path algorithm is determined by the inspection time and the accumulated radiation; An inspection module is used to inspect the chemical plant according to the optimal inspection route.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the chemical plant management method based on digital twin technology as described in any one of claims 1 to 7 are implemented.

10. A computer storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the chemical plant management method based on digital twin technology as described in any one of claims 1 to 7 are implemented.

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