CN115563793A - Method for modeling visualization rule of industrial equipment - Google Patents
Method for modeling visualization rule of industrial equipment Download PDFInfo
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- CN115563793A CN115563793A CN202211263772.5A CN202211263772A CN115563793A CN 115563793 A CN115563793 A CN 115563793A CN 202211263772 A CN202211263772 A CN 202211263772A CN 115563793 A CN115563793 A CN 115563793A
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Abstract
The invention discloses a visual rule modeling method for industrial equipment. The method comprises the following steps: selecting corresponding function information according to different prediction scenes in the mechanism model operator definition; designing a mechanism model rule; connecting each module by using a connecting wire; mechanism rule data are stored in a formatted mode; classifying the overall rules according to types, and carrying out corresponding logic processing; different node types are combined to form a piece of computing task. Through the use of a flow management technology and the collocation of rich industrial function information bases, the problems that the original industrial equipment visualization rule modeling method is difficult to realize, the industrial knowledge threshold is high, the model is too simple and the like are effectively solved, so that the industrial equipment visualization rule modeling is simpler, more flexible and wider in application range.
Description
Technical Field
The invention relates to the technical field of twin modeling of industrial equipment, in particular to a visualization rule modeling method for industrial equipment.
Background
With the mutual combination of industry and internet, the prediction of the state of industrial equipment, and the maintenance of basic failure prediction, become the focus of the industry field. The key to realizing the relevant predictive maintenance is to have a complete and stable rule modeling technology, and to perform some predictive maintenance work on the state of the industrial equipment by using a specific rule to improve the utilization rate of the industrial equipment.
At present, the problems of insufficient industrial visual modeling technology, high learning cost, lack of corresponding industrial knowledge reserves, too simple model and incapability of achieving the expected effect in operation generally exist in most industrial fields.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned problems.
Therefore, the technical problem solved by the invention is as follows: the existing industrial equipment visualization rule modeling method has the problems of difficult realization, high industry knowledge threshold and too simple model.
In order to solve the technical problems, the invention provides the following technical scheme: a rule modeling method for industrial equipment visualization, comprising:
selecting corresponding function information according to different prediction scenes in the mechanism model operator definition;
designing a mechanism model rule;
connecting each module by using a connecting wire;
mechanism rule data are stored in a formatted mode;
classifying the overall rules according to types, and carrying out corresponding logic processing;
different node types are combined to form a piece of computing task.
As a preferred embodiment of the method for modeling the visualization rule of the industrial equipment according to the present invention, wherein: the mechanism model operator definition includes:
basic mathematical functions, industrial equipment related trends, start-stop functions, judgment expressions and logic expressions.
As a preferable aspect of the method for modeling industrial equipment visualization rules according to the present invention, wherein: the mechanism model rule design comprises the following steps:
configuration parameter information, configuration data duration and configuration data occurrence frequency.
As a preferable aspect of the method for modeling industrial equipment visualization rules according to the present invention, wherein: the configuration parameter information includes:
configuring parameter information according to the selected function;
and judging the threshold value of the node configuration variable according to the rule.
As a preferable aspect of the method for modeling industrial equipment visualization rules according to the present invention, wherein: the configuration data duration includes:
for a specific application scenario, if it is not desired to keep the state for a long time after a variable exceeds a threshold, the next operation is triggered by configuring the duration of the data.
As a preferable aspect of the method for modeling industrial equipment visualization rules according to the present invention, wherein: the configuration data frequency of occurrence comprises:
for a scene with hopping data, if the numerical value of the hopping data is not expected to exceed the set number of scene occurrences of the threshold value, configuring the occurrence frequency of the data on a judgment node.
As a preferred embodiment of the method for modeling the visualization rule of the industrial equipment according to the present invention, wherein: the connecting each module using the connection line includes:
and connecting the function nodes, the judgment nodes, the logic calculation nodes and the end nodes in sequence to form a complete rule information flow.
As a preferred embodiment of the method for modeling the visualization rule of the industrial equipment according to the present invention, wherein: the mechanism rule data formatting storage comprises the following steps:
and formatting page data, and storing basic rule information and node position information.
As a preferable aspect of the method for modeling industrial equipment visualization rules according to the present invention, wherein: the classifying the overall rule according to the type includes:
and dividing the overall rule into a function body, an expression and an ending body according to types.
As a preferred embodiment of the method for modeling the visualization rule of the industrial equipment, the method includes: and supporting self-defined function processing by using a calculation engine, performing module calculation, and storing a calculation result.
The invention has the beneficial effects that: according to the visual rule modeling method for the industrial equipment, provided by the invention, predictive maintenance work is carried out on the state of the industrial equipment through a rule modeling process, manpower is not consumed, the configuration error rate is low, the working efficiency of equipment maintenance and the utilization rate of the industrial equipment are greatly improved, the problems of difficulty in realizing, high industrial knowledge threshold and over-simple model of the conventional visual rule modeling method for the industrial equipment are solved, and the visual modeling technical method for the industrial equipment in the twin modeling technical field of the industrial equipment is enriched.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
Wherein:
FIG. 1 is an overall flowchart of a method for modeling industrial equipment visualization rules according to an embodiment of the present invention;
fig. 2 is a modeling flowchart for an abnormal operation alarm of a power transformer device in a visualization rule modeling method for an industrial device according to a second embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, the references herein to "one embodiment" or "an embodiment" refer to a particular feature, structure, or characteristic that may be included in at least one implementation of the present invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected" and "connected" in the present invention are to be construed broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in a specific case to those of ordinary skill in the art.
Example 1
Referring to fig. 1, for an embodiment of the present invention, a rule modeling method for industrial equipment visualization is provided, including:
s1, defining a mechanism model operator;
further, it encompasses basic mathematical functions, industrial equipment related trends, start stop functions, judgment expressions and logic expressions.
Furthermore, corresponding function information is selected for different prediction scenes;
it should be noted that, for a function model to be customized, a calculation engine is used to perform customized function processing, perform module calculation, and store a calculation result, so as to continuously enrich a function information base in mechanism model operator definition.
S2, designing a mechanism model rule;
furthermore, binding corresponding parameter information according to the function description, and judging whether special value matching is needed or not according to the use scene;
furthermore, the special value configuration comprises configuration parameter information, configuration data duration, configuration data occurrence frequency and the like;
furthermore, the configuration parameter information comprises the configuration parameter information according to the selected function and the threshold value of the node configuration variable according to the rule judgment;
furthermore, for a specific application scenario, configuring the data duration includes, if it is not desirable that the state is maintained for a long time after a variable exceeds a threshold, triggering the next operation by configuring the data duration;
furthermore, configuring the data occurrence frequency comprises, for a scene with hopping data, configuring the data occurrence frequency on the judgment node if the scene with the value exceeding the threshold value occurs for a set number of times;
it should be noted that the design of the mechanism model rule is a key step in modeling, has guiding significance for the next operation, and triggers the next operation when the data meets the rule condition;
meanwhile, after the mechanism model rule is completely designed, the operation instruction is clear, and compared with the traditional method in which the operation is realized in a code writing mode by technicians, the method greatly improves the operation accuracy, does not consume manpower, and obviously improves the working efficiency.
S3, performing flow rule modeling on the basis of the S2, performing module connection and flow management, and constructing a complete mechanism rule flow;
furthermore, each module is connected by using a connecting wire to form a mechanism rule similar to the flow chart;
furthermore, the function nodes, the judgment nodes, the logic calculation nodes and the end nodes are connected in sequence to form a complete rule information flow.
It should be noted that, after the flow is ended, the final operation is finally triggered on the end node according to the calculation result.
S4, storing rule data, formatting page data, and storing basic rule information and node position information;
furthermore, the set node information is automatically stored, so that the subsequent searching and use are facilitated;
it should be noted that, the whole rule data is divided into two parts, namely node information and connection information; the node information is used for storing basic information of each node, and comprises a node type, a node number and node special configuration; the node type is used for carrying out classified management on the nodes; the node number is used for determining the rule calculation sequence; the special configuration of the node can carry out relevant configuration for the specific application scene;
meanwhile, the connection information is used for storing the front and back association relation between every two associated nodes.
S5, rule analysis is carried out, and classification is carried out according to different node types according to the stored basic rule information;
furthermore, different node types are combined to form a computing task according to the stored node position information;
it should be noted that the node types are divided into three types, namely an industrial data function body, an expression and an end body, classification according to different node types is beneficial to improving management efficiency, the classified node types are combined, each calculation task is clearly displayed, flow steps are beneficial to being clear, error items or changed items can be quickly searched, management difficulty is obviously reduced, and working efficiency is greatly improved.
Example 2
Referring to fig. 2, an embodiment of the present invention provides a method for modeling visualization rules of industrial equipment, and in order to verify the beneficial effects of the present invention, a scientific demonstration is performed through a specific implementation manner of modeling of an abnormal operation alarm of a power transformer.
The application scenario of the power transformer abnormal operation warning model is as follows: among the factors that affect the service life of the transformer, temperature causes insulation aging, which is one of the factors that most affect the service life of the transformer. The oil level of the transformer oil is too low, so that the sleeve lead and the tap switch are exposed in the air, the insulation level is greatly reduced, and the leakage accident can be caused. Therefore, under the condition that the equipment normally and stably runs, the equipment abnormity alarm can be triggered when the temperature of the equipment exceeds a certain limit value or the oil level is lower than a certain limit value.
The maximum allowable temperature of the oil immersed transformer is 105 ℃, and in order to ensure the normal operation of the transformer, the set alarm temperature is set to be 95 ℃ and the duration time is not more than 30 minutes. Monitoring the temperature of the transformer equipment, wherein the running state of the equipment is mainly determined according to a real-time variable a, when a is 1, the equipment is represented to be running, and when a is 0, the equipment stops running; the temperature of the upper oil surface of the transformer is mainly determined according to a real-time variable b; the oil quantity of the transformer is determined according to variables, when c is 1, the oil quantity is sufficient, and when c is 0, the oil level is lower than the lowest scale mark;
thus, the abnormal alarm condition when the device is running is as follows:
when the temperature of the upper oil surface of the transformer exceeds 95 ℃ and lasts for more than 30 minutes, equipment abnormity alarm can be triggered;
when the oil level of the transformer is lower than the lowest scale mark, the abnormal alarm of the equipment can be triggered.
The specific implementation steps are as follows:
s1, defining a mechanism model operator: an ori function is selected for the alarm modeling of the abnormal temperature and the abnormal oil quantity of the oil surface of the transformer;
furthermore, a transformer real-time operation state variable a, an equipment real-time temperature variable b and equipment real-time oil quantity c need to be obtained;
furthermore, an ori function is dragged into the function tree for obtaining the real-time value of the variable.
S2, designing a mechanism model rule: binding corresponding parameter information according to the function description, wherein a variable a, a variable b and a variable c are required to be respectively bound for ori function nodes at the moment;
furthermore, judging the threshold value of the node configuration variable according to the rule;
furthermore, a judgment expression is needed to be dragged in to judge whether the running state of the equipment, the oil surface temperature and the oil quantity reach relevant threshold values or not;
and further dragging the logic expression into an and logic expression after the judgment is finished, and judging whether to trigger an alarm or not according to the result.
It should be noted that when the equipment is running, i.e. a =1, and the oil surface temperature exceeds 95 ℃, i.e. b ≧ 95, for more than 30 minutes, an alarm is triggered, or when the equipment is running, i.e. a =1, and the oil amount c =0, an alarm is triggered, otherwise, the equipment is in a normal state.
S3, connecting each module according to a set sequence by using a connecting line to form a mechanism rule similar to a flow chart;
furthermore, the function nodes, the judgment nodes, the logic calculation nodes and the end nodes are connected in sequence to form complete rule information.
After the calculation flow is finished, whether the calculation flow is true or false is determined according to the result, and if true is displayed, the equipment state is normal, and if false is displayed, an alarm is triggered.
S4, storing rule information, formatting page node information, and storing the page node information in a relational database;
furthermore, the set node information is automatically stored, so that the subsequent searching and using are convenient.
And S5, during rule analysis and calculation, classifying according to the stored node information and the node types, determining the sequence among the nodes according to the stored connection information to form a calculation task, and finally performing corresponding module calculation by using a calculation engine to store a calculation result.
Furthermore, a calculation engine is used for supporting the calculation of the custom function, and the calculation result is stored;
it should be noted that, the application range of the rule can be greatly increased by using the calculation engine to perform the self-defined function processing, and the calculation result can be stored, so that the function information base in the mechanism model operator definition can be continuously enriched;
meanwhile, compared with the traditional mode of manually writing codes, the method is beneficial to managing each module according to node classification, and is convenient for quickly searching error points and judging rules which need to be changed according to actual conditions.
Example 3
In order to verify and explain the technical effects adopted in the method, the embodiment adopts the traditional technical scheme to perform comparison test with the industrial equipment visualization rule modeling method provided by the invention, and compares the test results by means of scientific demonstration to verify the real effect of the method.
The traditional technical scheme is as follows: each node needs an implementer to write codes, which is time-consuming and has high professional requirements on the implementer.
Compared with the traditional method, the method has the advantages of lower time consumption and higher accuracy; in this embodiment, a method for coding by a traditional technician and the method for creating 50 service models respectively are used to perform real-time data comparison on average consumed time and error number.
And (3) testing environment: three technicians respectively use the traditional technical scheme and the technical scheme of the method to create 50 business models; and (5) counting the average consumed time and the error number of each person configuration model.
Table 1: the experimental results are shown in a comparison table.
Compared with the traditional method, the method disclosed by the invention has the advantages that the average time consumption is less, the number of configuration errors is obviously lower than that of the traditional scheme, the scheme does not consume manpower and time, the operation is simple, the equipment state prediction accuracy is high, and the equipment working efficiency is greatly improved.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. A rule modeling method for industrial equipment visualization, comprising:
selecting corresponding function information according to different prediction scenes in the mechanism model operator definition;
designing a mechanism model rule;
connecting each module by using a connecting wire;
mechanism rule data are stored in a formatted mode;
classifying the overall rules according to types, and carrying out corresponding logic processing;
different node types are combined to form a piece of computing task.
2. The method of claim 1, wherein the mechanism model operator definition comprises:
basic mathematical functions, industrial equipment related trends, start-stop functions, judgment expressions and logic expressions, and corresponding function information is selected for different prediction scenes.
3. The method of claim 1, wherein the mechanistic model rule design comprises:
configuration parameter information, configuration data duration and configuration data occurrence frequency.
4. The method of claim 3, wherein the configuration parameter information comprises:
configuring parameter information according to the selected function; and judging the threshold value of the node configuration variable according to the rule.
5. The method of claim 3, wherein configuring the data duration comprises:
for a specific application scenario, if it is not desired to keep the state for a long time after a variable exceeds a threshold, the next operation is triggered by configuring the duration of the data.
6. The method of claim 3, wherein the frequency of occurrence of the configuration data comprises:
for a scene with hopping data, if the numerical value of the hopping data is not expected to exceed the set number of scene occurrences of the threshold value, configuring the occurrence frequency of the data on a judgment node.
7. The method for modeling industrial equipment visualization rules of claim 1, wherein said connecting each module using a connecting line comprises:
and sequentially connecting the function nodes, the judgment nodes, the logic calculation nodes and the end nodes according to the sequence to form a complete rule information flow.
8. The method for industrial equipment visualization rule modeling of claim 1 or 3, wherein the mechanistic rule data formatting store comprises:
and formatting page data, and storing basic rule information and node position information.
9. The method of claim 1, wherein classifying the global rules by type comprises:
and dividing the whole rule into a function body, an expression and an ending body according to types.
10. The method for modeling visualization rules for industrial equipment according to claim 1 or 2, comprising:
and supporting self-defined function processing by using a calculation engine, performing module calculation, and storing a calculation result.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116430821A (en) * | 2023-06-15 | 2023-07-14 | 埃睿迪信息技术（北京）有限公司 | Data processing method and device for industrial production process model |
| CN117932972A (en) * | 2024-03-15 | 2024-04-26 | 南京凯奥思数据技术有限公司 | Visual modeling platform and method applied to equipment state algorithm model based on WEB |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116430821A (en) * | 2023-06-15 | 2023-07-14 | 埃睿迪信息技术（北京）有限公司 | Data processing method and device for industrial production process model |
| CN116430821B (en) * | 2023-06-15 | 2023-08-29 | 埃睿迪信息技术（北京）有限公司 | Data processing method and device for industrial production process model |
| CN117932972A (en) * | 2024-03-15 | 2024-04-26 | 南京凯奥思数据技术有限公司 | Visual modeling platform and method applied to equipment state algorithm model based on WEB |
| CN117932972B (en) * | 2024-03-15 | 2024-05-28 | 南京凯奥思数据技术有限公司 | Visual modeling platform and method applied to equipment state algorithm model based on WEB |
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