Work order real-time monitoring and risk visualization system and device based on plant map

Abstract

The application discloses a work ticket real-time monitoring and risk visualization system and equipment based on a factory map, and the system comprises a digital map construction module, a data real-time acquisition module, a visualization display module and a linkage monitoring module.The digital map construction module is used for constructing a factory digital map model and dividing work areas and preset risk levels.The data real-time acquisition module is used for acquiring work tickets, operation tickets and dangerous work data from a factory work management system in real time and binding the data with corresponding areas.The visualization display module is used for displaying the work quantity, risk level and work type of each area on a work large screen by means of dynamic identification and color coding.The linkage monitoring module is used for calling and displaying the real-time picture of a mobile camera bound with a high-risk area when a user interacts.The application solves the problems of non-intuitive work distribution, fuzzy risk division and insufficient monitoring linkage in the prior art, and realizes the global visualization and real-time controllability of factory work safety.

Description

Technical Field

[0001] This invention relates to the field of power plant operation and maintenance safety management technology, specifically to a system and equipment for real-time monitoring and risk visualization of work orders based on plant area maps. Background Technology

[0002] In the operation management of large industrial plants such as power plants, the management of work permits, operation tickets, and hazardous operations (sub-items of work with high risk) is a core link in ensuring safe production. While some existing industrial monitoring systems can display plant area maps, they lack dynamic correlation between work permits and areas, differentiated visualization designs based on risk levels and operation types, and cannot achieve interactive linkage between high-risk operations and mobile cameras. This makes it difficult to meet the efficient monitoring needs of large industrial plants for operational safety, and the management of specific work permits and other operational documents suffers from the following deficiencies: 1) Information decentralization: Work order data is stored in the management system, and manual query is required to obtain the regional distribution. It is not possible to intuitively display the current work quantity in each region, and it is difficult for managers to quickly grasp the overall work load. 2) Confusion between risk and type: The lack of visual distinction between areas with different risk levels (such as hazardous chemical areas and high-pressure equipment areas) and different types of operations (work permits, operation permits, and hazardous operations) can easily lead to misjudgment of risks or unclear management priorities; 3) High-risk monitoring disconnect: The on-site conditions of high-risk areas or hazardous operations rely on manual inspections or fixed cameras, and cannot be directly linked to monitoring through management terminals, resulting in a delay in response to safety hazards; 4) Insufficient interactivity: Most existing monitoring screens are static displays, and cannot be linked to real-time data or on-site images of specific operations through click operations, making it difficult to meet the needs of refined management. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a real-time monitoring and risk visualization system and equipment for work orders based on a factory map, so as to solve the above problems.

[0004] The technical solution adopted by this invention to solve the technical problem is: a real-time monitoring and risk visualization system for work orders based on a factory area map, which includes: The map modeling module is used to construct a digital map model of the factory area and divide the digital map model into multiple work areas, and preset a risk level for each work area. The data association module is used to communicate and connect with the factory operation management system, obtain operation ticket data in real time, and dynamically bind the operation ticket data with the corresponding operation area. The operation ticket data includes at least the operation type and the area to which it belongs. The operation type is distinguished by different identification colors in the dynamic label or along the dynamic label. The visualization module is used to render the digital map model on the display terminal. Each work area displays a corresponding risk background color according to the preset risk level, and displays the number of currently bound work tickets in the form of dynamic labels in each work area. The linkage monitoring module is used to bind at least one mobile monitoring device to at least one preset high-risk work area and display the real-time monitoring images collected by the device on the display terminal.

[0005] As a preferred technical solution of the present invention, the correspondence between the risk level and the risk background color is as follows: red corresponds to particularly serious risk, orange corresponds to serious risk, yellow corresponds to relatively serious risk, blue corresponds to general risk, and light blue corresponds to relatively minor risk.

[0006] As a preferred embodiment of the present invention, the correspondence between the operation type and the identification color is as follows: green corresponds to work ticket, purple corresponds to operation ticket, and dark red corresponds to hazardous operations.

[0007] As a preferred embodiment of the present invention, the dynamic label is a bubble chart or a number label, and the number displayed in the dynamic label represents the total number of work tickets currently in execution within the corresponding work area.

[0008] As a preferred embodiment of the present invention, multiple types of operations exist within the same work area.

[0009] As a preferred embodiment of the present invention, the mobile monitoring device is a camera mounted on an inspection robot, a camera installed on a movable pan-tilt unit, or a camera on a smart safety helmet worn by personnel.

[0010] As a preferred technical solution of the present invention, the linkage monitoring module displays the real-time monitoring screen on the display terminal in the form of a pop-up window, and the pop-up window also provides screen switching controls, video playback controls and screen zoom controls.

[0011] As a preferred embodiment of the present invention, the data association module initiates a data request to the plant operation management system at a predetermined period, the predetermined period being configurable and ranging from 10″ to 60″.

[0012] As a preferred embodiment of the present invention, the digital map model constructed by the map modeling module is a two-dimensional map or a three-dimensional map.

[0013] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the program, implements the functions of each module in the system as described in any one of claims 1-9.

[0014] The present invention has the following beneficial effects: 1. This invention transforms abstract operational data into intuitive geographical distribution information, enabling managers to grasp the overall operational load distribution of the plant at a glance, greatly improving the macro-level situational awareness of safety management, and solving the problems of scattered and unintuitive information in traditional methods.

[0015] 2. By rapidly transmitting risk information through visual channels, the cost of manual identification and judgment by managers is significantly reduced, which is conducive to quickly locating high-risk targets and improving the timeliness and accuracy of risk warnings.

[0016] 3. It achieves seamless integration from information perception to on-site verification. Managers can access on-site footage with a single click from their office, greatly enhancing remote supervision of high-risk work scenarios and forming a closed-loop management system for discovery, verification, and handling, effectively reducing the probability of safety accidents.

[0017] 4. It transforms safety management from static and passive to dynamic and proactive. The system can respond to changes in operational status in real time and supports managers to quickly intervene in abnormal situations, thereby improving the efficiency and response speed of the entire safety management system. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the overall architecture and workflow of the system according to a preferred embodiment of the present invention.

[0019] Figure 2 This is an interactive diagram illustrating the pop-up monitoring screen after clicking the job identifier according to a preferred embodiment of the present invention.

[0020] Figure 3 This is a schematic diagram of the system display effect according to a preferred embodiment of the present invention. Detailed Implementation

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below. 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. Many specific details are set forth in the following description to provide a thorough understanding of the present invention. However, the present invention can also be implemented in other ways different from those described herein. Therefore, the scope of protection of the present invention is not limited to the specific embodiments disclosed below.

[0022] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0023] Please refer to the following: Figure 1 and Figure 3 This invention relates to a real-time monitoring and risk visualization system for work orders based on a factory area map, comprising: The map modeling module is used to build a digital map model of the factory area and divide the digital map model into multiple work areas, with a risk level preset for each work area. The data association module is used to communicate and connect with the plant operation management system, obtain operation ticket data in real time, and dynamically bind the operation ticket data with the corresponding operation area. The operation ticket data includes at least the operation type and the area to which it belongs. The operation type is distinguished by different identification colors in the dynamic label or the alongside dynamic label. The visualization module is used to render digital map models on the display terminal. Each work area displays a corresponding risk background color according to the preset risk level, and displays the number of currently bound work tickets in the form of dynamic labels in each work area. The linkage monitoring module is used to bind at least one mobile monitoring device to at least one preset high-risk work area and display the real-time monitoring images collected by the device on the display terminal. In response to the user's trigger operation on the target work area for a specific work type on the display terminal, the module controls the mobile monitoring device bound to the target work area to start or turn, and displays the real-time monitoring images collected by the device on the display terminal.

[0024] The correspondence between risk level and risk background color is as follows: red for extremely serious risk, orange for serious risk, yellow for relatively serious risk, blue for general risk, and light blue for minor risk. The correspondence between work type and label color is as follows: green for work permit, purple for operation permit, and dark red for hazardous operations.

[0025] Dynamic labels can be either bubble charts or number labels. The number displayed within a dynamic label represents the total number of work tickets currently in execution within the corresponding work area. Multiple work types may exist within the same work area, and the visualization module will display them using one of the following methods: Multiple icons in different colors are displayed side-by-side next to the dynamic labels, with each color corresponding to the quantity of a particular job type; The dynamic labels are divided into multiple color blocks. The color of each color block represents a job type, and the size or number of the color block represents the quantity of that job type.

[0026] The mobile monitoring equipment includes cameras mounted on inspection robots, cameras installed on mobile pan-tilt units, or cameras on smart safety helmets worn by personnel. The linkage monitoring module displays real-time monitoring images in pop-up windows on the display terminal. The pop-up windows also provide screen switching controls, video playback controls, and screen zoom controls. The data association module sends data requests to the factory operation management system at predetermined intervals. The predetermined intervals are configurable and range from 10″ to 60″. The map modeling module constructs a digital map model that is either a two-dimensional or three-dimensional map. An electronic device is used, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor. When the processor executes the program, it realizes the functions of each module in the system.

[0027] Among them, the method for constructing digitized two-dimensional maps: Obtain a general layout plan of the factory area or high-resolution satellite imagery as the base map. In a GIS engine or custom rendering engine, establish a mapping relationship between the base map pixel coordinates (x_pixel, y_pixel) and the real-world coordinates (X_geo, Y_geo) by selecting at least three known geodetic coordinate points (such as the GPS coordinates of the factory boundary corners) as control points.

[0028] Algorithm: Implemented using affine transformation. The formula is as follows: X_geo=a x_pixel+b y_pixel+c Y_geo=d x_pixel+e y_pixel+f Here, a, b, c, d, e, and f are transformation parameters, obtained by solving the system of equations corresponding to the control points using the least squares method. This step ensures the geometric accuracy of the map (e.g., ±2m).

[0029] Methods for constructing 3D digital maps: The raw point cloud data is converted into a surface model that is easy to display and apply. Algorithms such as Poisson Surface Reconstruction are employed. By converting the point cloud into an indicator function and then solving its Poisson equation, a smooth, watertight 3D triangular mesh model is generated. Texture mapping: The high-definition images captured are used as textures and automatically mapped onto the reconstructed triangular mesh to generate a 3D real-world model with a realistic appearance.

[0030] Specifically, in use, this invention first involves digitally modeling the factory area: using high-precision surveying data or factory design drawings, a 1:500 scale digital factory area map model is constructed (spatial positioning accuracy controlled within ±2 meters). The factory area is divided into more than twenty operational areas, including the main transformer area, natural gas pressure regulating station, turbine hall, office building, and parking lot. The risk level of each area is preset; for example, the natural gas pressure regulating station, due to its involvement with flammable and explosive media, is preset as a major risk (orange); the main transformer area, due to its involvement with high-voltage electricity, is preset as a relatively high risk (yellow); and areas such as the office building and parking lot are preset as relatively low risk (light blue).

[0031] Secondly, data association configuration is performed: This involves interfacing with the power plant's existing operation management system (such as the GMS platform) via an application programming interface (API). The system synchronizes work tickets, operation tickets, and hazardous / critical operation data across the entire plant in real time, every 30 seconds. For example, if the system collects a data entry: a work ticket with the ticket number "Work Ticket," classified as a hazardous / critical operation, located in the main transformer area, and in progress, the system will immediately bind this operation data to the main transformer area on the digital map.

[0032] Next, a visualization was presented: a full-screen digital map of the plant area was displayed on the 86-inch work screen in the command center. Each area was highlighted with a background color according to its preset risk level. Above each area, a dynamic numerical label, or "dynamic quantity identifier," was displayed, indicating the total number of work permits currently being executed within that area. Simultaneously, small icons and colors were used to distinguish work types. For example, the main transformer area (yellow background) displayed 3 (green icon) + 1 (dark red icon), indicating that there were 3 ordinary work permits (green) and 1 hazardous work permit (dark red) in that area. The natural gas pressure regulating station (orange background) displayed 2 (purple icon), indicating that there were 2 work permits.

[0033] Next, camera linkage was configured: three inspection robots equipped with high-definition cameras were deployed in the main transformer area as mobile monitoring devices. These robots are connected to the system via the plant's 5G private network, providing not only real-time video streaming (1080P resolution, 25 frames / second) but also real-time reporting of their own geographical location information (accuracy ±1 meter). The system then binds these three cameras to the "main transformer area".

[0034] Finally, interactive monitoring is implemented: when managers notice the dark red hazardous operation sign in the main transformer area on the large screen, they simply tap the sign with their finger. The interactive control module is then triggered, and a monitoring pop-up window appears on the display terminal. By default, the pop-up window displays the real-time video feed transmitted from the inspection robot closest to the operation point. Managers can easily switch to the perspective of the other two cameras using the buttons on the pop-up window, or choose to play back historical monitoring recordings from the last hour.

[0035] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0036] Other parts of this invention that are not detailed herein are all prior art and will not be described further here.

[0037] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A real-time monitoring and risk visualization system for work orders based on a factory map, characterized in that: include: The map modeling module is used to construct a digital map model of the factory area and divide the digital map model into multiple work areas, and preset a risk level for each work area. The data association module is used to communicate and connect with the factory operation management system, obtain operation ticket data in real time, and dynamically bind the operation ticket data with the corresponding operation area. The operation ticket data includes at least the operation type and the area to which it belongs. The operation type is distinguished by different identification colors in the dynamic label or along the dynamic label. The visualization module is used to render the digital map model on the display terminal. Each work area displays a corresponding risk background color according to the preset risk level, and displays the number of currently bound work tickets in the form of dynamic labels in each work area. The linkage monitoring module is used to bind at least one mobile monitoring device to at least one preset high-risk work area and display the real-time monitoring images collected by the device on the display terminal.

2. The real-time monitoring and risk visualization system for work orders based on a factory map as described in claim 1, characterized in that, The correspondence between the risk level and the risk background color is as follows: red corresponds to particularly serious risk, orange corresponds to serious risk, yellow corresponds to relatively serious risk, blue corresponds to general risk, and light blue corresponds to relatively minor risk.

3. The real-time monitoring and risk visualization system for work orders based on a factory map as described in claim 1, characterized in that, The correspondence between the job type and the identification color is as follows: green corresponds to work ticket, purple corresponds to operation ticket, and dark red corresponds to hazardous operations.

4. The real-time monitoring and risk visualization system for work orders based on a factory map as described in claim 1, characterized in that, The dynamic label is a bubble chart or a number label, and the number displayed in the dynamic label represents the total number of work tickets currently in execution within the corresponding work area.

5. The real-time monitoring and risk visualization system for work orders based on a factory map as described in claim 4, characterized in that, Multiple job types exist within the same work area.

6. The real-time monitoring and risk visualization system for work orders based on a factory map as described in claim 1, characterized in that, The mobile monitoring device is a camera mounted on an inspection robot, a camera installed on a mobile pan-tilt unit, or a camera on a smart safety helmet worn by personnel.

7. The real-time monitoring and risk visualization system for work orders based on a factory map as described in claim 1, characterized in that, The linkage monitoring module displays the real-time monitoring screen on the display terminal in the form of a pop-up window. The pop-up window also provides screen switching controls, video playback controls, and screen zoom controls.

8. The real-time monitoring and risk visualization system for work orders based on a factory map as described in claim 1, characterized in that, The data association module sends data requests to the plant operation management system at a predetermined period, which is configurable and ranges from 10″ to 60″.

9. The real-time monitoring and risk visualization system for work orders based on a factory map as described in claim 1, characterized in that, The digital map model constructed by the map modeling module is a two-dimensional map or a three-dimensional map.

10. An electronic 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 program, it implements the functions of each module in the system as described in any one of claims 1-9.

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