CN118446831A - Intelligent configuration method for petroleum graphic information expression by using universal meta design - Google Patents
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Abstract
The application provides an intelligent configuration method for petroleum graphic information expression by using a universal meta design, belonging to the technical field of petroleum industry map configuration; the intelligent configuration method for the petroleum graphic information expression by applying the universal meta design comprises the steps of obtaining cloud data of a historical map project; the historical map project cloud data comprise historical map project call data; grouping the historical map items stored in the cloud to obtain a plurality of historical map item groups; calculating calling importance data of map symbols of the universal meta design in each historical map project group based on the historical map project cloud data; invoking map symbols of the universal meta design according to the invoking importance data, and constructing a local intelligent map for presentation; by using the scheme, the construction efficiency of the local intelligent map can be improved.
Description
Technical Field
The application relates to the technical field of map configuration in petroleum industry, in particular to an intelligent configuration method for petroleum graphic information expression by using general meta design.
Background
In the field of petroleum industry, the configuration of petroleum industry maps is one of the more important works; when a local petroleum industry map is configured, map symbol data of a general meta design is generally called from a cloud, and then an intelligent map for presenting petroleum industry related projects is constructed locally; because the smart map is constructed and presented locally, it is limited by the available memory locally, and it is important to invoke the cloud data efficiently and accurately.
Disclosure of Invention
In order to solve the technical problems, the application provides an intelligent configuration method for petroleum graphic information expression by using a universal meta design.
The application provides an intelligent configuration method for petroleum graphic information expression by applying a universal meta design. The method may include the steps of,
Acquiring cloud data of a historical map project; the historical map project cloud data comprise historical map project call data;
Grouping the historical map items stored in the cloud to obtain a plurality of historical map item groups;
calculating calling importance data of map symbols of the universal meta design in each historical map project group based on the historical map project cloud data;
and calling the map symbol of the universal meta design according to the calling importance data, and constructing a local intelligent map for presentation.
By adopting the technical scheme, the historical map item data stored in the cloud are analyzed, and each historical map item is firstly grouped to obtain a plurality of historical map item groups; the historical map item groups are high in similarity, and have certain similarity; then, calculating the calling importance of the map symbols of the universal meta-design of each historical map item in each historical map item group; because each historical map item group has certain tendency, the importance analysis of the map symbols of the universal meta-design is representative in the situation; finally, constructing a local intelligent map for presentation based on the importance degree of the map symbol of the universal meta design; by adopting the scheme, the data which is suitable for the cloud and meets the requirements is selected from the cloud to be downloaded to the local, the local intelligent map for presentation is constructed, and the efficiency and the accuracy of constructing the map are improved.
Further, the calculating the call importance data of the map symbol of the universal metadesign in each historical map item group based on the historical map item cloud data includes:
Call importance data for map symbols of the generic meta-design is calculated, In which, in the process,To invoke importance data, i takes the values 1-n, representing 1-n history map item groups,Map symbols designed for the universal element are sub-importance data of the ith historical map item group,Is the preset item group weight corresponding to the ith sub-importance data.
Further, the method comprises the steps of,。
Further, the calculating method of the sub importance data includes:
，
In the method, in the process of the invention, For sub-importance data, j takes the value 1-m, representing 1-m history map items,The call probability data for the map symbol of the generic meta-design at the jth historical map item,Representing taking the maximum of all call probability data.
Further, the calculation method of the call probability data comprises the following steps:
Determining call quantity data of map symbols of a general meta design in the historical map project according to the cloud data of the historical map project;
calculating according to the calling number data of the map symbols of any general element design in the historical map project and the calling number data of the map symbols of all general element designs in the historical map project to obtain a ratio result of the calling number data and the calling number data;
The ratio result represents the calling probability data of the map symbol of any general meta-design.
Further, the grouping the historical map items stored in the cloud to obtain a plurality of historical map item groups includes:
According to the cloud data of the historical map items, the item demand similarity data of any two historical map items are analyzed and determined;
And grouping the historical map items stored in the cloud based on the item demand similarity according to a clustering algorithm to obtain a plurality of historical map item groups.
Further, the calling the map symbol of the universal meta-design according to the calling importance data, and constructing the local intelligent map for presentation comprises:
determining at least one historical map item group according to local map item requirements and the item requirement similarity data;
According to the calling importance data of the map symbols of the universal meta-designs contained in the at least one historical map project group, sequentially calling the map symbols of the universal meta-designs with preset quantity from high importance to low importance;
a local smart map for presentation is constructed based on the retrieved map symbols of the generic meta-design.
Further, the method further comprises the following steps:
Determining the number of map symbol categories of the universal element design required by the local map and the number of map symbol of the local map accommodating universal element design according to the local map project requirement;
Determining at least two historical map item groups for matching with the map symbol data of the general meta design, and determining the grouping category number according to the map symbol category number of the general meta design required by the local map and the local map item requirement similarity;
and determining the data to be retrieved corresponding to each historical map item group as data of different categories, and obtaining the retrieval data corresponding to each historical map item group according to the grouping category number and the map symbol number of the local map accommodation general element design.
It should be understood that the description in this summary is not intended to limit the critical or essential features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the present application will become apparent from the description that follows.
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The above and other features, advantages and aspects of embodiments of the present application will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, wherein like or similar reference numerals denote like or similar elements, in which:
FIG. 1 shows a flow chart of an intelligent configuration method for petroleum graphic information expression using a universal meta-design in an embodiment of the application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
In general, graphic data of petroleum industry are various; from the data description, appropriate colors, symbols, etc. are automatically matched for the pattern, for example:
① Lithology section is automatically matched with the symbol of the graph through lithology description such as siltstone, fine sandstone and the like.
② Lithology section, through brown gray, dark gray, etc. color description, automatically matches to the filling color of the graph.
③ The sedimentary facies are automatically matched to the filling colors and symbols of the graphics through the names of the wetland fan, the river and the like.
④ And the explanation of the sand layers is automatically matched with the filling color of the graph through the explanation conclusion description of the first sand layer and the second sand layer.
⑤ The oil gas interpretation is automatically matched with the filling color and the symbol of the graph through the interpretation conclusion description of an oil layer and a water layer.
⑥ The stratum is automatically matched with the filling color and the symbol of the graph through description of the horizon names such as HS, HX and the like.
The curves can be automatically matched through aliases; in practical applications, the same curve may have different names. Curves of different aliases may be matched to the same curve. For example: GR1, GR2, GR3, etc. can be positioned on the GR curves according to the aliases.
Specifically, the format is divided into four parts: ① Earth projection parameter nodes. Projection related information of the current drawing is described. ② Graph data nodes. Related information describing the drawing information. Including depth scale, paper size, drawing date, projection type (measured depth, vertical depth, inclined well), etc. ③ Layer data nodes. And describing the layer and hoistway related data. Is the core part in the format. ④ And associating the data nodes. The description map and various data related to the business can be expanded by itself.
The layer data node is divided into three parts: ① Layout primitive nodes. Layout primitive information is described, including a title, scale, legend, and responsibility table. ② Well primitive nodes. Well, track, and intra-track primitive information are described. ③ Free primitive nodes. The description is not of special interest for drawing figures, including rectangles, ellipses, faces, text, broken lines, curves and labels.
The well relation in the well primitive node is described by a tree structure, and the inclusion relation between the tracks can be described by a father-son relation. The specialty type of a trace is described using the specialty name attribute items, such as log, formation, sedimentary facies, hydrocarbon interpretation, lithology profile, and the like. Software can analyze the well of different categories according to the professional type; intra-track data is described within leaf nodes in a hoistway hierarchical relationship; all graphics, including the well, the layout primitive and the description mode of the free primitive, are divided into two parts of data and patterns, and are respectively placed under two nodes, so that the data and the patterns are thoroughly separated from each other structurally without mutual influence; the style node has child nodes, which are distinguished by type. The method is divided into sub-pattern nodes special for brushes, filling, fonts, memory blocks, pictures and various professional type primitives. If the different primitives contain the same type of style, the attribute item structures in the nodes are consistent. For example, both primitives contain a font style, then the property items within the font style children are identical. This uniformity is convenient for the developer to understand and parse. Unified dimension. Millimeter is used collectively in describing the size-related content, such as values of width, height, distance, etc. The data related to symbols, colors, etc. for lithology, lithology color and oiliness are described in professional words, such as siltstone, oiliness, dark gray, etc., rather than ID values, enumeration values, etc. inside the software. The format is thus irrelevant to the specific software and more versatile.
When the map is constructed, data is required to be downloaded from the cloud to the local, and then the local intelligent map for presentation is constructed; in order to improve the efficiency and accuracy of map construction; the application provides an intelligent configuration method for petroleum graphic information expression by applying a universal meta design, which can analyze and determine the priority of data presentation from cloud map data, download the data presentation from the cloud to the local and present the data presentation in a map form.
Referring to fig. 1, the application provides an intelligent configuration method for petroleum graphic information expression by using a universal meta design, and the specific steps are as follows.
Step S110: acquiring cloud data of a historical map project; the historical map item cloud data comprises historical map item call data.
The cloud data of the historical map projects are the historical data stored in the cloud server and comprise the historical map data, the historical project demand data, the historical map construction data and the historical map project calling data corresponding to each historical map project; it will be appreciated that stored in the cloud data are map symbols of various types of generic meta-designs, such as various graphics and the like.
By adopting the scheme, on the premise of meeting the data calling requirement of the local map construction and the data volume of the local map accommodation, the method can be used for selecting the map symbol data with proper universal meta design from the cloud, downloading the map symbol data to the local and then constructing the local intelligent map for presentation; then, for a local intelligent map, the key presentation can be carried out by means of different colors, font forms, font sizes, local amplification and the like; by adopting the scheme in the embodiment of the application, the efficiency and the accuracy of map construction are improved.
Step S120: and grouping the historical map items stored in the cloud to obtain a plurality of historical map item groups.
In the embodiment of the application, grouping the historical map items stored in the cloud to obtain a plurality of historical map item groups comprises analyzing and determining item demand similarity data of any two historical map items according to the cloud data of the historical map items; and grouping the historical map items stored in the cloud based on the item demand similarity according to a clustering algorithm to obtain a plurality of historical map item groups.
It will be appreciated that in embodiments of the present application, the history map items are created based on different item requirements; while different project requirements embody different content that is desired to be presented on the map; therefore, the historical map items with the item demand similarity higher than the threshold value can be divided into uniform groups by carrying out similarity analysis on each historical map item, and then specific analysis is carried out; the adoption of the method has the advantages that the historical map items in the same group have certain tendency, so that the map symbols of the general meta-design used for calling and constructing the map also have certain tendency, and the analysis result is more representative through the integral analysis of the historical map item group; by adopting the method, the representativeness and the comprehensiveness of map symbol data analysis of the universal meta design are improved.
Step S130: and calculating calling importance data of map symbols of the universal metadesign in each historical map project group based on the historical map project cloud data.
In the embodiment of the present application, the calculating the call importance data of the map symbols of the universal meta-design in each historical map item group based on the historical map item cloud data includes calculating the call importance data of the map symbols of the universal meta-design,In which, in the process,To invoke importance data, i takes the values 1-n, representing 1-n history map item groups,Map symbols designed for the universal element are sub-importance data of the ith historical map item group,Is the preset item group weight corresponding to the ith sub-importance data.
Further, the method comprises the steps of,。
It can be understood that the map symbols of the universal element design are all embodied in different historical map item groups, that is, when the historical map item groups mentioned in the embodiment analyze the map symbols of any universal element design, the historical map items in the historical map item groups necessarily contain the historical call data of the map symbols of the universal element design; after the calling importance data of the map symbols of the general meta-design corresponding to each historical map item group are obtained through calculation, the preset item group weight corresponding to each preset historical map item group is assisted, and finally the importance data corresponding to the map symbols of each general meta-design can be obtained; the preset project group weight can be obtained through a preset weight comparison table, and the preset weight comparison table comprises the corresponding relation between the called number of map symbols of the general element design and the weight; by adopting the mode, the importance degree of the map symbol of each general meta-design in the historical cloud data and the historical call record can be comprehensively and integrally calculated by utilizing the integral analysis of each historical map project group and combining the weights.
The calculating method of the sub importance data comprises the following steps:
，
In the method, in the process of the invention, For sub-importance data, j takes the value 1-m, representing 1-m history map items,The call probability data for the map symbol of the generic meta-design at the jth historical map item,Representing taking the maximum of all call probability data.
It will be appreciated that in analysing each historical map item, the frequency with which map symbols of a generic meta-design appear in the historical map item represents the importance of the map symbols of the generic meta-design in the historical map item; the calling probability data of the map symbol of the general meta design in the historical map project; and for a historical map item group, a plurality of historical map items are contained in the historical map item group, and the calling probability data corresponding to each historical map item is different, so that when the whole historical map item group is analyzed, the historical map item with the highest calling probability is used as a reference for analysis, and the historical map items in the historical map item group except for the historical map item corresponding to the reference are specifically analyzed, so that the influence on the reference is caused.
It will be appreciated that, since the call probability data of the map symbol of the universal meta design is analyzed herein, and the probability value is in the range of 0-1, it is ensured that after the reference probability is the maximum value, the higher the other values except the maximum value, the greater the influence on the reference, and the smaller the other values, the smaller the influence on the reference.
It should be noted that the higher the remaining value, the descriptionThe larger the size of the container,The larger theThe smaller the size of the product,The smaller theThe smaller; The smaller the The larger; the larger the remaining value, the greater its effect on the reference probability is illustrated.
In the embodiment of the application, the calculation method of the calling probability data comprises the steps of determining calling quantity data of map symbols of a general meta-design in the historical map project according to the cloud data of the historical map project; calculating according to the calling number data of the map symbols of any general element design in the historical map project and the calling number data of the map symbols of all general element designs in the historical map project to obtain a ratio result of the calling number data and the calling number data; the ratio result represents the calling probability data of the map symbol of any general meta-design.
Step S140: and calling the map symbol of the universal meta design according to the calling importance data, and constructing a local intelligent map for presentation.
In the embodiment of the application, the calling of the map symbols of the universal meta design according to the calling importance data and the construction of the local intelligent map for presentation comprise the steps of determining at least one historical map item group according to local map item requirements and the item requirement similarity data; according to the calling importance data of the map symbols of the universal meta-designs contained in the at least one historical map project group, sequentially calling the map symbols of the universal meta-designs with preset quantity from high importance to low importance; a local smart map for presentation is constructed based on the retrieved map symbols of the generic meta-design.
It is to be understood that the clustering algorithm is a conventional algorithm, and will not be explained here, as long as the object in the present embodiment can be achieved.
Further, the method further comprises the steps of determining the number of map symbol categories of the universal element design required by the local map and the number of map symbols of the universal element design accommodated by the local map according to the local map project requirements; determining at least two historical map item groups for matching with the map symbol data of the general meta design, and determining the grouping category number according to the map symbol category number of the general meta design required by the local map and the local map item requirement similarity; and determining the data to be retrieved corresponding to each historical map item group as data of different categories, and obtaining the retrieval data corresponding to each historical map item group according to the grouping category number and the map symbol number of the local map accommodation general element design.
It can be understood that the historical map project group with the highest similarity is screened out by comparing the similarity between the construction requirement and the historical requirement of the local map, and then the map symbol data of the universal meta design meeting the required quantity is called according to the calling importance data of the map symbol of the universal meta design; however, when the similarity comparison is performed, the difference value between the similarity of at least two historical map item groups is within a preset range value, which indicates that the similarity between the two historical map item groups and the requirement of the local map meets the requirement, and the two historical map item groups can call the map symbol data of the corresponding general element design, download the map symbol data to the local and then perform map construction; in this case, respective weights are determined by the difference of the similarity and a preset difference comparison table, and the number of grouping categories is determined based on the weights; it should be noted that, the map symbol categories of the universal meta-design herein need to be different categories, and if two historical map item groups respectively call the map symbol data of the universal meta-design with the highest importance to be the same category, one name is occupied.
For example, the required similarity between the item group A and the item group B and the local map is 85% and 90%, the similarity difference between the item group A and the item group B and the local map is 5%, and the weight ratio corresponding to the 5% is 6:4 according to a preset difference comparison table; namely, the B project group accounts for 60%, and the A project group accounts for 40%; and then determining the types and the numbers of the map symbols of the callable universal meta-design according to the number of the map symbols of the local map accommodating universal meta-design.
By adopting the technical scheme, the method and the device realize downloading of proper and accurate data from the cloud to the local construction presentation map; the construction efficiency and accuracy of the map are improved; the presentation efficiency and accuracy of the map are improved; and on the basis of the local map, the local map can be expanded and subdivided, so that the use flexibility of the map is improved.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the described action sequences, as some steps may be performed in other sequences or simultaneously, according to the embodiments of the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are alternative embodiments, and that the acts and modules referred to are not necessarily required for the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, reference may be made to the corresponding process in the foregoing method embodiment for the specific working process of the described apparatus, which is not described herein again.
The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in the present application is not limited to the specific combinations of technical features described above, but also covers other technical features which may be formed by any combination of the technical features described above or their equivalents without departing from the spirit of the disclosure. Such as the above-mentioned features and the technical features disclosed in the present application (but not limited to) having similar functions are replaced with each other.
Claims (8)
1. An intelligent configuration method for petroleum graphic information expression by using a universal meta design is characterized by comprising the following steps:
acquiring cloud data of a historical map project; the historical map project cloud data comprise historical map project call data;
Grouping the historical map items stored in the cloud to obtain a plurality of historical map item groups;
calculating calling importance data of map symbols of the universal meta design in each historical map project group based on the historical map project cloud data;
and calling the map symbol of the universal meta design according to the calling importance data, and constructing a local intelligent map for presentation.
2. The intelligent configuration method for applying the general meta-design to the petroleum graphic information expression according to claim 1, wherein the calculating the call importance data of the map symbol of the general meta-design in each historical map item group based on the historical map item cloud data includes:
Call importance data for map symbols of the generic meta-design is calculated, In which, in the process,To invoke importance data, i takes the values 1-n, representing 1-n history map item groups,Map symbols designed for the universal element are sub-importance data of the ith historical map item group,Is the preset item group weight corresponding to the ith sub-importance data.
3. The intelligent configuration method for petroleum graphic information expression using universal meta design according to claim 2, wherein,。
4. The intelligent configuration method for petroleum graphic information expression using universal meta-design according to claim 2, wherein the calculation method of the sub-importance data comprises:
，
In the method, in the process of the invention, For sub-importance data, j takes the value 1-m, representing 1-m history map items,The call probability data for the map symbol of the generic meta-design at the jth historical map item,Representing taking the maximum of all call probability data.
5. The intelligent configuration method for petroleum graphic information expression using universal meta design according to claim 4, wherein the calculation method for calling probability data comprises:
Determining call quantity data of map symbols of a general meta design in the historical map project according to the cloud data of the historical map project;
calculating according to the calling number data of the map symbols of any general element design in the historical map project and the calling number data of the map symbols of all general element designs in the historical map project to obtain a ratio result of the calling number data and the calling number data;
The ratio result represents the calling probability data of the map symbol of any general meta-design.
6. The intelligent configuration method for petroleum graphic information expression using universal meta design according to claim 2, wherein grouping the historical map items stored in the cloud to obtain a plurality of historical map item groups comprises:
According to the cloud data of the historical map items, the item demand similarity data of any two historical map items are analyzed and determined;
And grouping the historical map items stored in the cloud based on the item demand similarity according to a clustering algorithm to obtain a plurality of historical map item groups.
7. The intelligent configuration method for applying a generic meta-design to a petroleum graphic information presentation of claim 6, wherein said invoking the generic meta-design's map symbol according to the call importance data and constructing a local intelligent map for presentation comprises:
determining at least one historical map item group according to local map item requirements and the item requirement similarity data;
According to the calling importance data of the map symbols of the universal meta-designs contained in the at least one historical map project group, sequentially calling the map symbols of the universal meta-designs with preset quantity from high importance to low importance;
a local smart map for presentation is constructed based on the retrieved map symbols of the generic meta-design.
8. The intelligent configuration method for petroleum graphic information expression using universal meta design according to claim 7, further comprising:
Determining the number of map symbol categories of the universal element design required by the local map and the number of map symbol of the local map accommodating universal element design according to the local map project requirement;
Determining at least two historical map item groups for matching with the map symbol data of the general meta design, and determining the grouping category number according to the map symbol category number of the general meta design required by the local map and the local map item requirement similarity;
and determining the data to be retrieved corresponding to each historical map item group as data of different categories, and obtaining the retrieval data corresponding to each historical map item group according to the grouping category number and the map symbol number of the local map accommodation general element design.
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