Visual equipment fault diagnosis system

Abstract

The invention relates to the technical field of equipment management, in particular to a visual equipment fault diagnosis system, which comprises a model construction module used for acquiring equipment construction and constructing an equipment model according to the equipment construction; the equipment model comprises a shell and a plurality of parts arranged in the shell, and the shell is provided with a plurality of detachable shells; the data acquisition module is used for acquiring operation parameters of all parts in the equipment; the fault analysis module is used for dividing the parts in the equipment into normal parts and fault parts according to the operation parameters of the parts in the equipment, and generating a fault analysis result; the fault analysis result comprises position data of a fault component; and the model adjusting module is used for adjusting display parameters of each detachable shell in the equipment model according to the position data of the fault component. By adopting the scheme, an equipment model can be provided, and a disassembly suggestion is given to maintainers by adjusting the display parameters of the detachable shell, so that fault parts can be quickly identified and positioned.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment management, and in particular to a visual equipment fault diagnosis system. Background Art

[0002] In the modern industrial field, with the rapid development of science and technology and the growing production demand, the structure of equipment has become more and more complex, and the precision has been continuously improved. Although this increase in complexity and precision has brought higher production efficiency and better product quality, it has also made equipment fault diagnosis and maintenance more difficult and challenging. Traditional equipment fault diagnosis methods mainly rely on the technicians' experience and manual detection. This method is not only time-consuming and labor-intensive, but also easily affected by subjective factors, leading to misjudgment and delayed maintenance.

[0003] In order to overcome the limitations of traditional methods, people began to explore fault diagnosis systems based on sensors and data analysis. These systems can improve the accuracy and efficiency of fault diagnosis to a certain extent by collecting the operating parameters of various components in the equipment and analyzing them using advanced algorithms. However, existing fault diagnosis systems can often only provide limited information, such as the location of the faulty component or abnormal operating parameters. Although this information helps maintenance personnel understand the fault condition of the equipment, it cannot intuitively display the internal structure of the equipment. Therefore, maintenance personnel still need to spend a lot of time and energy to locate the faulty component. During this period, they need to disassemble the detachable shells in the shell to observe the distribution of the internal components of the shell and locate the position of the faulty component. This cumbersome process not only reduces the maintenance efficiency, but may also cause secondary damage to the equipment. Therefore, it is urgent to provide a visual equipment fault diagnosis system that can provide an equipment model and give maintenance personnel disassembly suggestions by adjusting the display parameters of the detachable shell, so that maintenance personnel can quickly identify and locate. Summary of the invention

[0004] The present invention provides a visual equipment fault diagnosis system, which can provide an equipment model and give disassembly suggestions to maintenance personnel by adjusting the display parameters of a detachable shell, thereby facilitating the rapid identification and location of faulty parts and improving maintenance efficiency.

[0005] In order to achieve the above objectives, this application provides the following technical solutions:

[0006] A visual equipment fault diagnosis system, comprising a model building module, a data acquisition module, a fault analysis module and a model adjustment module;

[0007] The model building module is used to obtain the device structure and build a device model according to the device structure; the device model includes a shell and a plurality of components arranged inside the shell, and the shell is provided with a plurality of detachable shells;

[0008] The data acquisition module is used to collect the operating parameters of each component in the device;

[0009] The fault analysis module is used to classify the components in the device into normal components and faulty components according to the operating parameters of the components in the device, and generate a fault analysis result; the fault analysis result includes the location data of the faulty component;

[0010] The model adjustment module is used to adjust the display parameters of each detachable shell in the equipment model according to the position data of the faulty component.

[0011] Further, the model adjustment module includes a component adjustment module and a shell adjustment module; the display parameters include transparency and display color;

[0012] The component adjustment module is used to adjust the transparency of each component in the device model; the transparency of the faulty component is lower than the transparency of the normal component;

[0013] The shell adjustment module is used to adjust the display color of each detachable shell in the device model.

[0014] Further, the shell adjustment module includes a position acquisition module, a distance analysis module, a distance comparison module and a shell color adjustment module;

[0015] The position acquisition module is used to acquire the position data of each detachable shell;

[0016] The distance analysis module is used to analyze the distance between each detachable housing and the faulty component according to the position data of the faulty component and the position data of each detachable housing;

[0017] The distance comparison module is used to compare the distances between each detachable housing and the faulty component, and select the detachable housing with the shortest distance to the faulty component as the target housing;

[0018] The shell color adjustment module is used to adjust the display color of the target shell in the device model.

[0019] Furthermore, the fault analysis result also includes volume data of the faulty component; the distance comparison module includes a threshold generation module, a shell screening module and a shell confirmation module;

[0020] The threshold generation module is used to generate a surface area threshold according to the volume data of the faulty component;

[0021] The shell screening module is used to obtain the surface area of ​​each detachable shell, and screen the detachable shells with a surface area greater than a surface area threshold as the shells to be selected;

[0022] The housing confirmation module is used to compare the distances between each candidate housing and the faulty component, and select the candidate housing with the shortest distance to the faulty component as the target housing.

[0023] Further, the operating parameter includes temperature; the component adjustment module includes a component color generation module and a component color adjustment module;

[0024] The component color generation module is used to generate a component display color according to the temperature of the faulty component;

[0025] The component color adjustment module is used to adjust the display color of the faulty component in the equipment model according to the component display color.

[0026] Furthermore, the fault analysis result also includes the severity of the faulty component; the component adjustment module also includes a transparency generation module and a component transparency adjustment module;

[0027] The transparency generating module is used to generate component transparency according to the severity of the faulty component;

[0028] The component transparency adjustment module is used to adjust the transparency of the faulty component in the equipment model according to the component transparency.

[0029] Further, the component transparency is inversely proportional to the severity of the failed component.

[0030] Furthermore, the transparency of the outer shell and the detachable shell arranged on the outer shell is higher than the transparency of each component in the outer shell.

[0031] The principles and advantages of the present invention are as follows: First, by displaying the fault status inside the equipment in a visual way, the blindness and uncertainty of maintenance personnel in locating faulty components are reduced, thereby greatly improving maintenance efficiency. Secondly, by adjusting the transparency of the faulty components in the equipment model, the faulty components are made more prominent in the model, which is convenient for maintenance personnel to quickly identify and locate. At the same time, the transparency of the corresponding faulty components is adjusted according to the severity of the faulty components, so that when there are multiple faulty components in the same equipment, maintenance personnel can quickly locate the components with serious faults and sort the maintenance order. In addition, according to the distance between the faulty components and each detachable shell, the display color of the target shell is adjusted to further guide the maintenance personnel to observe and repair at a close distance, and give the maintenance personnel disassembly suggestions, which is convenient for the rapid identification and positioning of the faulty components, avoiding equipment damage and extended downtime caused by misjudgment or delayed maintenance, thereby reducing the maintenance cost of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 The present invention is a logic block diagram of a visual device fault diagnosis system embodiment.

[0033] Figure 2 The present invention provides a logic block diagram of a housing adjustment module in a visual device fault diagnosis system embodiment. DETAILED DESCRIPTION

[0034] The following is further described in detail through specific implementation methods:

[0035] Embodiment 1:

[0036] Embodiment 1 is basically as attached Figure 1 As shown:

[0037] A visual equipment fault diagnosis system, such as Figure 1 As shown, it includes a model building module, a data acquisition module, a fault analysis module and a model adjustment module.

[0038] The model building module is used to obtain the device structure and build a device model according to the device structure. The device model includes a shell and several components arranged inside the shell. The shell is provided with several detachable shells, and the components inside the shell can be inspected and repaired by removing the detachable shells on the shell.

[0039] The data acquisition module is used to collect the operating parameters of each component in the device; in this embodiment, the operating parameters include temperature and vibration frequency. The fault analysis module is used to divide the components in the device into normal components and faulty components according to the operating parameters of each component in the device, and generate fault analysis results; the fault analysis results include the position data of the faulty component, the volume data of the faulty component and the severity of the faulty component. In this embodiment, the fault conditions of each component in the device are analyzed based on the pre-stored position data of each component, the volume data of each component and the collected temperature and vibration frequency of each component, and the position data of each component, the volume data of each component, the temperature and vibration frequency of each component are used as the input of the input layer, and the fault analysis results obtained by analysis are the output of the output layer.

[0040] Specifically, a three-layer BP neural network model is constructed, including an input layer, a hidden layer and an output layer. In this embodiment, the position data of each component, the volume data of each component, the temperature and the vibration frequency of each component are used as the input of the input layer, so the input layer has 4 nodes, and the output is the position data of the faulty component, the volume data of the faulty component and the severity of the faulty component, so there are 3 nodes in total; for the hidden layer, this embodiment uses the following formula to determine the number of hidden layer nodes: Where l is the number of nodes in the hidden layer, n is the number of nodes in the input layer, m is the number of nodes in the output layer, and a is a number between 1 and 10. In this embodiment, it is taken as 6, so there are 9 nodes in the hidden layer. BP neural network usually uses Sigmoid differentiable function and linear function as the excitation function of the network. In this embodiment, the S-type tangent function tansig is selected as the excitation function of the hidden layer neurons. The prediction model selects the S-type logarithmic function tansig as the excitation function of the output layer neurons. After the BP network model is constructed, the model is trained using historical data as a sample, and the analysis model obtained after the training is completed can obtain more accurate analysis results.

[0041] The model adjustment module is used to adjust the display parameters of each detachable shell in the device model according to the position data of the faulty component. The model adjustment module includes a component adjustment module and a shell adjustment module; the display parameters include transparency and display color. In the initial state, the transparency of the shell and the detachable shell arranged on the shell are higher than the transparency of the components in the shell, and the display color of the device model is beige; in this embodiment, the transparency of the shell and the detachable shell arranged on the shell is 90%, and the transparency of the components in the shell is 70%.

[0042] The component adjustment module is used to adjust the transparency of each component in the device model; after adjustment, the transparency of the faulty component is lower than that of the normal component. Specifically, the component adjustment module includes a transparency generation module and a component transparency adjustment module. The transparency generation module is used to generate component transparency according to the severity of the faulty component; the component transparency is inversely proportional to the severity of the faulty component. In this embodiment, the severity of the faulty component is divided into four levels from low to high: slight, medium, major, and severe, corresponding to the generated component transparency of 50%, 30%, 15%, and 5%. The component transparency adjustment module is used to adjust the transparency of the faulty component in the device model according to the component transparency.

[0043] The principle is that in the device model of this solution, the shell has high transparency, that is, a perspective model is constructed. Compared with the traditional model, the displayed model will be more complex visually because the various components inside the shell will be reflected. Therefore, in this solution, the transparency of the shell and components is first distinguished, so that the relevant maintenance personnel can more clearly and intuitively understand the internal fault of the equipment remotely, and then adjust the transparency of the faulty component to make the faulty component more obvious, which is convenient for maintenance personnel to quickly locate the faulty component.

[0044] The shell adjustment module is used to adjust the display color of each detachable shell in the device model. In this embodiment, the shell adjustment module includes a position acquisition module, a distance analysis module, a distance comparison module and a shell color adjustment module.

[0045] The position acquisition module is used to obtain the position data of each removable shell. The distance analysis module is used to analyze the distance between each removable shell and the faulty component based on the position data of the faulty component and the position data of each removable shell. The distance comparison module is used to compare the distance between each removable shell and the faulty component, and select the removable shell with the smallest distance to the faulty component as the target shell. The shell color adjustment module is used to adjust the display color of the target shell in the device model. In this embodiment, the display color of the target shell is adjusted to red. In other embodiments of the present application, only the display color of the border of the target shell can be adjusted. In this way, disassembly suggestions can be given to maintenance personnel, which facilitates the rapid identification and positioning of faulty components in physical equipment, avoids equipment damage and extended downtime due to misjudgment or delayed maintenance, and thus reduces the maintenance cost of the equipment.

[0046] Embodiment 2:

[0047] The basic principle of embodiment 2 is the same as that of embodiment 1, except that in embodiment 2, Figure 2 As shown, the distance comparison module includes a threshold generation module, a shell screening module and a shell confirmation module.

[0048] The threshold generation module is used to generate a surface area threshold according to the volume data of the faulty component; the surface area threshold is proportional to the volume data of the faulty component to prevent the failure to repair the faulty component after the shell is too small to be removed. The shell screening module is used to obtain the surface area of ​​each removable shell, and screen the removable shells with a surface area greater than the surface area threshold as candidate shells. The shell confirmation module is used to compare the distance between each candidate shell and the faulty component, and screen the candidate shell with the smallest distance to the faulty component as the target shell. In this way, a removable shell that meets both the surface area requirement and the distance requirement is analyzed, which is convenient for maintenance personnel to perform maintenance operations on the internal faulty component after disassembly.

[0049] Embodiment 3:

[0050] The basic principle of Example 3 is the same as that of Example 1, except that the component adjustment module in Example 3 further includes a component color generation module and a component color adjustment module. The component color generation module is used to generate a component display color according to the temperature of the faulty component; the component color adjustment module is used to adjust the display color of the faulty component in the equipment model according to the component display color. In this embodiment, when the temperature of the faulty component is less than 30°C, the component display color is blue; when the temperature of the faulty component is greater than or equal to 30°C and less than 80°C, the component display color is green; when the temperature of the faulty component is greater than or equal to 80°C and less than 130°C, the component display color is yellow; when the temperature of the faulty component is greater than or equal to 130°C, the component display color is red. Thus, the display color of the component can be automatically generated and adjusted according to the temperature of the faulty component; the higher the temperature, the more obvious the display color, which helps to quickly identify and locate the faulty component and improve the maintenance efficiency and safety of the equipment.

[0051] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the scope of protection of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A visual equipment fault diagnosis system, characterized in that: It includes model building module, data acquisition module, fault analysis module and model adjustment module; The model building module is used to obtain the device structure and build a device model according to the device structure; the device model includes a shell and a plurality of components arranged inside the shell, and the shell is provided with a plurality of detachable shells; The data acquisition module is used to collect the operating parameters of each component in the device; The fault analysis module is used to classify the components in the device into normal components and faulty components according to the operating parameters of the components in the device, and generate fault analysis results; The fault analysis result includes location data of the faulty component; The model adjustment module is used to adjust the display parameters of each detachable shell in the equipment model according to the position data of the faulty component.

2. The visual equipment fault diagnosis system according to claim 1, characterized in that: The model adjustment module includes a component adjustment module and a shell adjustment module; the display parameters include transparency and display color; The component adjustment module is used to adjust the transparency of each component in the device model; the transparency of the faulty component is lower than the transparency of the normal component; The shell adjustment module is used to adjust the display color of each detachable shell in the device model.

3. The visual equipment fault diagnosis system according to claim 2, characterized in that: The shell adjustment module includes a position acquisition module, a distance analysis module, a distance comparison module and a shell color adjustment module; The position acquisition module is used to acquire the position data of each detachable shell; The distance analysis module is used to analyze the distance between each detachable housing and the faulty component according to the position data of the faulty component and the position data of each detachable housing; The distance comparison module is used to compare the distances between each detachable housing and the faulty component, and select the detachable housing with the shortest distance to the faulty component as the target housing; The shell color adjustment module is used to adjust the display color of the target shell in the device model.

4. The visual equipment fault diagnosis system according to claim 3, characterized in that: The fault analysis result also includes volume data of the faulty component; the distance comparison module includes a threshold generation module, a shell screening module and a shell confirmation module; The threshold generation module is used to generate a surface area threshold according to the volume data of the faulty component; The shell screening module is used to obtain the surface area of ​​each detachable shell, and screen the detachable shells with a surface area greater than a surface area threshold as the shells to be selected; The housing confirmation module is used to compare the distances between each candidate housing and the faulty component, and select the candidate housing with the shortest distance to the faulty component as the target housing.

5. The visual equipment fault diagnosis system according to claim 2, characterized in that: The operating parameters include temperature; the component adjustment module includes a component color generation module and a component color adjustment module; The component color generation module is used to generate a component display color according to the temperature of the faulty component; The component color adjustment module is used to adjust the display color of the faulty component in the equipment model according to the component display color.

6. The visual equipment fault diagnosis system according to claim 2, characterized in that: The fault analysis result also includes the severity of the faulty component; the component adjustment module also includes a transparency generation module and a component transparency adjustment module; The transparency generating module is used to generate component transparency according to the severity of the faulty component; The component transparency adjustment module is used to adjust the transparency of the faulty component in the equipment model according to the component transparency.

7. The visual equipment fault diagnosis system according to claim 6, characterized in that: The component transparency is inversely proportional to the severity of the failed component.

8. The visualization device fault diagnosis system according to claim 1, characterized in that: The transparency of the outer shell and the detachable shell arranged on the outer shell is higher than the transparency of each component in the outer shell.

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