Equipment operation visual early warning method and device, electronic equipment and storage medium

Abstract

The invention relates to an equipment operation visualization early warning method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring production parameters associated with equipment; identifying the signal type of the production parameter; comparing the production parameters of which the signal types are simulation types with corresponding alarm values, comparing the production parameters of which the signal types are digital types with 0 or 1, synthesizing the comparison result of the simulation type production parameters and the digital type production parameters, and giving out an equipment operation state identification value according to an equipment operation state and equipment three-dimensional model change matching rule; and driving the color change of the equipment three-dimensional model according to the equipment operation state identification value. According to the method, a process equipment operation visualization early warning implementation process is provided, the method has high applicability to real-time operation state monitoring of various kinds of process equipment, production operation is facilitated, management personnel can comprehensively master the production operation condition of an oil field site, resources are shared, and cooperative operation and management efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of equipment monitoring technology, and in particular to a method, device, electronic device and storage medium for visual early warning of equipment operation. Background Technology

[0002] The oil and gas industry has improved its digital and intelligent management level through the integration of "informatization" and "industrialization." Utilizing digital twin technology to construct a virtual visualization environment of the physical factory and integrating real-time production monitoring data can help production operators and managers gain a more comprehensive understanding of production operations. However, existing methods for visually representing changes in equipment and facility 3D models lack standardized matching rules and methods. This makes it difficult for the virtual production monitoring environment to fully and intuitively reflect the real-time operation of on-site equipment, significantly impacting production efficiency. Summary of the Invention

[0003] Therefore, it is necessary to provide a visualization and early warning method for the operation of process equipment to address the above problems, which can define in detail the matching rules between various operating states of the equipment and changes in the three-dimensional model.

[0004] This invention provides a method for visual early warning of equipment operation, comprising:

[0005] Obtain the production parameters associated with the equipment;

[0006] Identify the signal type of the production parameters;

[0007] Identify the signal type of the production parameter, which is either an analog production parameter or a digital production parameter;

[0008] The production parameters with analog signal types are compared with the corresponding alarm values, and the production parameters with digital signal types are compared with 0 or 1. Based on the comparison results of the analog and digital production parameters, and according to the matching rules between the equipment operating status and the equipment three-dimensional model changes, the equipment operating status identifier value is given.

[0009] The color of the device's 3D model changes based on the device's operating status identifier value.

[0010] In one embodiment, the acquisition of production parameters associated with the device includes, prior to:

[0011] Read real-time production data from the production monitoring system.

[0012] In one embodiment, reading real-time production data from the production monitoring system includes:

[0013] Real-time monitoring of analog and digital quantity monitoring points.

[0014] In one embodiment, driving the color change of the device's 3D model based on the device's operating status identifier value includes:

[0015] The color changes in the 3D model of the equipment represent the real-time dynamic changes in the equipment's operation.

[0016] In one embodiment, the signal type for identifying the production parameter includes:

[0017] The signal type of the production parameter is identified as either an analog production parameter or a digital production parameter.

[0018] In one embodiment, the matching rule between the device operating state and the changes in the device's 3D model includes:

[0019] When any of the simulated production parameters reaches or exceeds its high-high alarm value, or falls below its low-low alarm value, or when the digital production parameters indicate equipment failure, high-high alarm, or low-low alarm, the equipment displays a first equipment operating status identifier value.

[0020] When the simulated production parameter is above the high alarm value but below the high-high alarm value, or below the low alarm value but above the low-low alarm value, or when the digital production parameter indicates a high alarm or low alarm, the device displays a second device operating status identifier value.

[0021] When the device is in normal operation and does not meet the above alarm conditions, the device displays a third device operation status identifier value;

[0022] When the device stops operating or does not meet any of the above conditions, the device displays a fourth device operating status identifier value.

[0023] In one embodiment, driving the color change of the device's 3D model based on the device's operating status identifier value includes:

[0024] When the first device operating status identifier value is displayed, the device 3D model flashes the first color;

[0025] When the second device operating status indicator value is displayed, the device 3D model flashes the second color;

[0026] When the third device operating status identifier value is displayed, the device's 3D model flashes the third color;

[0027] When the fourth device operating status identifier value is displayed, the device's 3D model retains its original color.

[0028] The present invention also provides a process equipment operation visualization and early warning device, comprising:

[0029] The acquisition module is used to acquire production parameters associated with the equipment;

[0030] The identification module is used to identify the signal type of the production parameter, wherein the signal type of the production parameter is analog production parameter or digital production parameter;

[0031] The processing module is used to compare the production parameters of the analog signal type with the corresponding alarm value, compare the production parameters of the digital signal type with 0 or 1, and combine the comparison results of the analog production parameters and the digital production parameters to give the equipment operating status identifier value according to the equipment operating status and equipment three-dimensional model change matching rules.

[0032] The output module is used to drive the color change of the device's 3D model based on the device's operating status identifier value.

[0033] The present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the device operation visualization early warning method as described above.

[0034] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the device operation visualization early warning method as described above.

[0035] Compared with the prior art, the present invention has the following beneficial technical effects:

[0036] The technical solution of this invention defines in detail the matching rules between various status information of equipment operation and changes in the three-dimensional model of the equipment, and provides an implementation process for visual early warning of process equipment operation based on the three-dimensional model. It has strong applicability to real-time status monitoring of various process equipment, is replicable and scalable, and helps production operation and management personnel to fully grasp the on-site production operation of the oilfield, share resources, and improve collaborative operation and management efficiency. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0038] Figure 1 This is a flowchart of a device operation visualization early warning method according to an embodiment of the present invention;

[0039] Figure 2This is a schematic diagram of a device operation visualization early warning device according to an embodiment of the present invention;

[0040] Figure 3 This is an internal structural diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] With the integration of "informatization" and "industrialization" in the oil and gas industry, the industry's digital and intelligent management level has been continuously improved. Some enterprises have already made positive explorations and practices in digital and intelligent construction, achieving significant progress.

[0043] By using digital twin technology to build a virtual visualization environment of a physical factory and integrating real-time production monitoring data, production operators and managers can gain a more thorough and comprehensive understanding of the production operation status through virtual reality interaction. Digital twin technology has been widely applied in various fields such as production operation management and equipment and facility asset management.

[0044] Enterprise process equipment operation involves multiple status information, including multi-level process parameter alarms, equipment fault alarms, and equipment operation / stop indications. Currently, there are no standardized matching rules and methods for visually displaying the above equipment operation status information through changes in 3D models of equipment facilities. The accuracy, completeness, and universality of the 3D equipment model in presenting the real-time status of equipment operation are difficult to guarantee. This makes it difficult for virtual production monitoring environments built based on digital twin technology to comprehensively and intuitively reflect the real-time operation of on-site equipment, failing to truly improve the work efficiency of production operators and managers, and seriously restricting the further development of digital twin technology in the field of enterprise production operation.

[0045] To overcome the aforementioned bottlenecks, a visualization-based early warning method for process equipment operation is proposed. This method defines in detail the matching rules between various operational status information of equipment and changes in the equipment's 3D model, and provides an implementation process for visualization-based early warning of process equipment operation based on the 3D model. It has strong applicability to real-time monitoring of the operational status of various types of process equipment, is replicable and scalable, and helps production operation and management personnel to fully grasp the on-site production operation status of the oilfield, share resources, and improve collaborative operation and management efficiency.

[0046] The following is combined Figures 1-3 The present invention describes a device operation visualization early warning method, apparatus, electronic device, and storage medium.

[0047] like Figure 1 As shown, in one embodiment, a device operation visualization warning method includes the following steps:

[0048] Step S110: Obtain the production parameters associated with the equipment.

[0049] Specifically, equipment production parameters refer to various physical, chemical, and electrical characteristics that affect the performance of equipment during the production process. These parameters are important bases for evaluating equipment performance, production efficiency, product quality, and subsequent maintenance.

[0050] Before obtaining the production parameters associated with the equipment in step S110 above, the following steps are included:

[0051] Step S111: Read real-time production data from the production monitoring system.

[0052] Preferably, step S111 above, reading real-time production data from the production monitoring system, specifically includes:

[0053] Step S112: Real-time monitoring of analog quantity monitoring points and digital quantity monitoring points.

[0054] Specifically, analog monitoring focuses on continuously changing physical or chemical quantities, such as temperature, pressure, flow rate, liquid level, vibration, and sound. These parameters are continuous and variable during the production process, requiring real-time monitoring and recording via sensors and other equipment. Analog data typically features real-time performance, continuity, and high precision. They can reflect subtle changes in equipment or production processes, providing crucial information for production control and optimization. Analog monitoring is widely used in various industrial sectors, such as manufacturing, energy, and environmental protection. By monitoring these parameters in real time, the stability of the production process and product quality can be ensured, while simultaneously optimizing production processes and reducing energy consumption and costs.

[0055] Switching quantity monitoring focuses on the on / off status or on / off signals of equipment, such as whether a motor has started or a valve is open. Switching quantities are usually discrete, with only two states: on (1) or off (0). Switching quantity data is simple, clear, and easy to process. They can directly reflect the operating status of equipment, providing important information for production control and safety assurance. Switching quantity monitoring occupies an important position in industrial automation and is widely used in equipment control, safety systems, power management, and other fields.

[0056] By monitoring analog and digital input points in real time, real-time production data of the production equipment can be read, production parameters associated with the equipment can be obtained, and data collection of the actual equipment can be completed.

[0057] Step S120: Identify the signal type of the production parameters. The signal types of the production parameters are analog production parameters and digital production parameters.

[0058] Specifically, because this invention needs to formulate change matching rules for the three-dimensional model, after obtaining the equipment production parameters, it is necessary to identify the signal type of the required production parameters.

[0059] Step S120 above identifies the signal type of the production parameters, including:

[0060] Step S121: Identify whether the signal type of the production parameter is analog or digital.

[0061] The present invention defines the production parameters for analog signal types and the production parameters for digital signal types as follows:

[0062] Analog signal production parameters A1 (analog monitoring point 1 of equipment production parameters), A2 (analog monitoring point 2 of equipment production parameters), ... A N (Analog monitoring point N for equipment production parameters) and digital signal production parameters D_Running (equipment running status indicator), D_Fault (equipment fault alarm), D_HHAlarm (high-high alarm for equipment production parameter switch monitoring point), D_HAlarm (high alarm for equipment production parameter switch monitoring point), D_LAlarm (low alarm for equipment production parameter switch monitoring point), D_LLAlarm (low-low alarm for equipment production parameter switch monitoring point). Analog signal production parameters A1, A 2、 …A N They have high-high alarm settings (A1_HH, A2_HH) respectively 、 …A N _HH), high alarm settings (A1_H, A2_H) 、 …A N _H), low alarm setting values ​​(A1_L, A2_L) 、 …A N _L) and low-low alarm settings (A1_LL, A2_LL) 、 …A N _LL).

[0063] Step S130: Compare the production parameters with analog signals with the corresponding alarm values, compare the production parameters with digital signals with 0 or 1, and combine the comparison results of analog and digital production parameters. Based on the matching rules between equipment operating status and equipment 3D model changes, give the equipment operating status identifier value.

[0064] The above-mentioned rules for matching the equipment's operating status with changes in its 3D model include:

[0065] When any analog production parameter reaches or exceeds its high-high alarm value, or falls below its low-low alarm value, or when a digital production parameter indicates a device malfunction, high-high alarm, or low-low alarm, the device displays the first device operating status identifier value.

[0066] When analog production parameters are above the high alarm value but below the high-high alarm value, or below the low alarm value but above the low-low alarm value, or when digital production parameters indicate a high or low alarm, the equipment displays a second equipment operating status identifier value.

[0067] When the device is in normal operation and does not meet the above alarm conditions, the device displays a third device operation status identifier value.

[0068] When the equipment stops operating or does not meet any of the above conditions, the equipment displays the fourth equipment operating status identifier value.

[0069] Specifically, the equipment operating status identifier is set to Equip_Status. The matching rules between equipment operating status and changes in the equipment's 3D model are as follows:

[0070] (1) When any of the following conditions are met, Equip_Status = 1, and the device's 3D model flashes color 1:

[0071] a.A1、A 2、 …A N ≥A1_HH、A2_HH 、 …A N _HH (indicates that the equipment has triggered a high-high alarm for production parameters).

[0072] b.A1、A 2、 …A N ≤A1_LL、A2_LL 、 …A N _LL (indicates that the equipment has triggered a low production parameter alarm).

[0073] c.D_Fault = 1 (indicates that a fault alarm has occurred in the device).

[0074] d.D_HHAlarm = 1 (indicates that the equipment has triggered a high alarm for production parameters).

[0075] e.D_LLAlarm = 1 (indicates that the equipment has triggered a low production parameter alarm).

[0076] (2) If none of the conditions in (1) are met, then Equip_Status = 2 and the device's 3D model will flash color 2 when one of the following conditions is met:

[0077] a.A1_H、A2_H 、 …A N _H≤A1、A 2、 …A N <A1_HH、A2_HH 、 …A N _HH(represents setting)

[0078] (High production parameter alarm occurs).

[0079] b.A1_LL, A2_LL 、 …A N _LL <A1、A 2、 …A N ≤A1_L、A2_L 、 …A N _L (representing device)

[0080] (Low production parameter alarm occurred).

[0081] c.D_HAlarm = 1 (indicates that the equipment has triggered a high production parameter alarm).

[0082] d.D_LAlarm = 1 (indicates that the equipment has triggered a low production parameter alarm).

[0083] (3) If neither (1) nor (2) is satisfied, when D_Running=1, then Equip_Status=3, indicating that the device is running normally and the device's three-dimensional model flashes color 3.

[0084] (4) If (1), (2), and (3) are not satisfied, then Equip_Status = 4, which means that the equipment has stopped running or the equipment has no motor components and is running normally, and the three-dimensional model of the equipment retains its original color.

[0085] Note: If the equipment does not have one or more of the aforementioned analog signal production parameters or digital signal production parameters, then the relevant judgment conditions for the production parameters are considered not met.

[0086] Step S140: Drive the color change of the equipment 3D model according to the equipment operating status identifier value.

[0087] The above step S140 drives the color change of the equipment's 3D model based on the equipment's operating status indicator value, including:

[0088] Step S141: The color change of the equipment's three-dimensional model represents the real-time dynamic changes in the equipment's operation.

[0089] Step S140 above, which drives the color change of the equipment's 3D model based on the equipment's operating status identifier value, includes:

[0090] When the first equipment operating status indicator value is displayed, the equipment 3D model flashes the first color.

[0091] When the second device operating status indicator value is displayed, the device's 3D model flashes the second color.

[0092] When the third device operating status indicator value is displayed, the device's 3D model flashes the third color.

[0093] When the fourth equipment operating status indicator value is displayed, the equipment 3D model retains its original color.

[0094] Specifically, when the equipment operation status indicator Equip_Status = 1, the equipment 3D model flashes color 1; when the equipment operation status indicator Equip_Status = 2, the equipment 3D model flashes color 2; when the equipment operation status indicator Equip_Status = 3, it indicates that the equipment is operating normally, and the equipment 3D model flashes color 3; when the equipment operation status indicator Equip_Status = 4, it indicates that the equipment has stopped operating, or the equipment has no motor components and is operating normally, and the equipment 3D model remains unchanged in its original color.

[0095] When staff perform visualization operations, alarm thresholds and color display styles of the 3D model can be preset. Staff can judge the real-time operating status of the equipment during the production process based on the different styles displayed in the 3D model.

[0096] The aforementioned equipment operation visualization early warning method fills the technical gap of lacking standardized rules for matching equipment operation status with changes in the equipment's 3D model. It also provides an implementation process for visualization early warning of process equipment operation based on the 3D model. This allows the virtual production monitoring environment built based on digital twin technology to comprehensively and intuitively reflect the real-time operation of on-site equipment. It has strong applicability to real-time status monitoring of various types of process equipment, is replicable and scalable, and helps production operation and management personnel to fully grasp the on-site production operation of the oilfield, share resources, and improve collaborative operation and management efficiency. It has significant value for the further promotion and application of digital twin technology in the field of enterprise production operation.

[0097] like Figure 2As shown, in one embodiment, a process equipment operation visualization early warning device includes an acquisition module 210, an identification module 220, a processing module 230, and an output module 240.

[0098] The acquisition module 210 is used to acquire production parameters associated with the equipment.

[0099] The identification module 220 is used to identify the signal type of the production parameters, which can be either analog or digital.

[0100] The processing module 230 is used to compare the production parameters of analog signal type with the corresponding alarm values, compare the production parameters of digital signal type with 0 or 1, and give the equipment operating status identifier value based on the comparison results of analog and digital production parameters and the matching rules of equipment operating status and equipment three-dimensional model changes.

[0101] Output module 240 is used to drive the color change of the three-dimensional model of the device according to the device operating status indicator value.

[0102] Figure 3 This example illustrates a schematic diagram of the physical structure of an electronic device, which can be a smart terminal. Its internal structure diagram can be as follows: Figure 3 As shown. The electronic device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a device operation visualization and early warning method, which includes:

[0103] Obtain production parameters associated with the equipment.

[0104] Identify the signal type of the production parameters, which can be either analog or digital.

[0105] The production parameters with analog signals are compared with the corresponding alarm values, and the production parameters with digital signals are compared with 0 or 1. Based on the comparison results of analog and digital production parameters, and according to the matching rules between equipment operating status and changes in the equipment's three-dimensional model, the equipment operating status identifier value is given.

[0106] The color of the equipment's 3D model changes based on the equipment's operating status indicator value.

[0107] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the electronic device to which the present invention is applied. A specific electronic device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0108] On the other hand, the present invention also provides a computer storage medium storing a computer program, which, when executed by a processor, implements a method for visually alerting device operation, the method comprising:

[0109] Obtain production parameters associated with the equipment.

[0110] Identify the signal type of the production parameters, which can be either analog or digital.

[0111] The production parameters with analog signals are compared with the corresponding alarm values, and the production parameters with digital signals are compared with 0 or 1. Based on the comparison results of analog and digital production parameters, and according to the matching rules between equipment operating status and changes in the equipment's three-dimensional model, the equipment operating status identifier value is given.

[0112] The color of the equipment's 3D model changes based on the equipment's operating status indicator value.

[0113] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory.

[0114] By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0115] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0116] The above embodiments merely illustrate several implementation methods of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this patent should be determined by the appended claims.

Claims

1. A method for visual early warning of equipment operation, characterized in that, include: Obtain the production parameters associated with the equipment; Identify the signal type of the production parameter, which is either an analog production parameter or a digital production parameter; The production parameters with analog signal types are compared with the corresponding alarm values, and the production parameters with digital signal types are compared with 0 or 1. Based on the comparison results of the analog and digital production parameters, and according to the matching rules between the equipment operating status and the equipment three-dimensional model changes, the equipment operating status identifier value is given. The color of the device's 3D model changes based on the device's operating status identifier value.

2. The equipment operation visualization early warning method according to claim 1, characterized in that, The acquisition of production parameters associated with the equipment includes, prior to: Read real-time production data from the production monitoring system.

3. The equipment operation visualization early warning method according to claim 2, characterized in that, The process of reading real-time production data from the production monitoring system includes: Real-time monitoring of analog and digital quantity monitoring points.

4. The equipment operation visualization early warning method according to claim 1, characterized in that, The step of driving the color change of the 3D model of the equipment based on the equipment operating status identifier value includes: The color changes in the 3D model of the equipment represent the real-time dynamic changes in the equipment's operation.

5. The equipment operation visualization early warning method according to claim 1, characterized in that, The signal types for identifying production parameters include: The signal type of the production parameter is identified as either an analog production parameter or a digital production parameter.

6. The equipment operation visualization early warning method according to claim 5, characterized in that, The matching rules between the equipment operating status and changes in the equipment's 3D model include: When any of the simulated production parameters reaches or exceeds its high-high alarm value, or falls below its low-low alarm value, or when the digital production parameters indicate equipment failure, high-high alarm, or low-low alarm, the equipment displays a first equipment operating status identifier value. When the simulated production parameter is above the high alarm value but below the high-high alarm value, or below the low alarm value but above the low-low alarm value, or when the digital production parameter indicates a high alarm or low alarm, the device displays a second device operating status identifier value. When the device is in normal operation and does not meet the above alarm conditions, the device displays a third device operation status identifier value; When the device stops operating or does not meet any of the above conditions, the device displays a fourth device operating status identifier value.

7. The equipment operation visualization early warning method according to claim 6, characterized in that, The step of driving the color change of the 3D model of the equipment based on the equipment operating status identifier value includes: When the first device operating status identifier value is displayed, the device 3D model flashes the first color; When the second device operating status indicator value is displayed, the device 3D model flashes the second color; When the third device operating status identifier value is displayed, the device's 3D model flashes the third color; When the fourth device operating status identifier value is displayed, the device's 3D model retains its original color.

8. A visual early warning device for the operation of process equipment, characterized in that, include: The acquisition module is used to acquire production parameters associated with the equipment; The identification module is used to identify the signal type of the production parameter, wherein the signal type of the production parameter is analog production parameter or digital production parameter; The processing module is used to compare the production parameters of the analog signal type with the corresponding alarm value, compare the production parameters of the digital signal type with 0 or 1, and combine the comparison results of the analog production parameters and the digital production parameters to give the equipment operating status identifier value according to the equipment operating status and equipment three-dimensional model change matching rules. The output module is used to drive the color change of the device's 3D model based on the device's operating status identifier value.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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