A heating network asset management method and system

Abstract

The present application discloses a method and system for managing assets of a heating pipe network, and the technical field of pipe network asset management methods. Assets used in heating pipe networks are classified, and different asset category sections are constructed based on different categories. Each asset category section is constructed with standard attribute factors and real-time attribute variable factors based on different attributes of the assets. The heating pipe network blocks that need attention are selected to generate a heating pipe network map. According to the past operating characteristics of the heating pipe network blocks, operating characteristic marks are made on the heating pipe network map, and the real-time attribute variable factors of the corresponding different assets on the heating pipe network map are defined according to the operating characteristic marks. Based on the difference characteristics between the defined real-time attribute variable factors and the standard attribute factors, the status of the corresponding assets is determined, thereby systematically and accurately managing the heating pipe network assets.

Description

Technical Field

[0001] The present invention relates to the technical field of pipe network asset management methods, and in particular to a heating pipe network asset management method and system. Background Art

[0002] With the acceleration of urbanization, the number and scale of heating pipelines are increasing, and the maintenance and management of these pipelines are becoming more and more complicated. Therefore, through asset management of heating pipelines, we can better grasp the operation status and maintenance of the pipelines, find problems in time and carry out repairs and maintenance, so as to ensure the normal operation of the heating system. In addition, asset management can also help enterprises better understand the value and use benefits of the pipelines, and provide a reference for subsequent investment and transformation.

[0003] There are problems in the asset management of the heating network, such as the inconsistency between on-site construction and drawing design, and it is difficult to conduct effective classification statistics, retrieval and query. This brings many inconveniences to the monitoring and management of the heating network during operation. There is no effective management method for the spatial relationship of the pipeline network, and managers cannot obtain clear and intuitive pipeline network information. The data is incomplete and the accuracy is low. The data is unclear, the distribution is not clearly expressed, and there is a lack of an effective pipeline network information management system. The pipeline network equipment assets are chaotic, the daily operation and maintenance of the pipeline network are difficult, and accidents are difficult to locate in a timely and accurate manner. Summary of the invention

[0004] In order to solve the above problems, the present application provides a heating pipe network asset management method and system, aiming to enable systematic and accurate management of heating pipe network assets.

[0005] In some embodiments of the present application, a method for managing heating network assets is provided, including: classifying assets used in the heating network, and constructing different asset category sections based on different categories, each asset category section being constructed with standard attribute factors and real-time attribute variable factors based on different attributes of the assets, selecting heating network blocks that require attention, generating a heating network map, marking operation characteristics on the heating network map based on past operation characteristics of the heating network blocks, and defining real-time attribute variable factors corresponding to different assets on the heating network map based on the operation characteristic markings, and determining the status of the corresponding assets based on the difference characteristics between the defined real-time attribute variable factors and the standard attribute factors.

[0006] In some embodiments of the present application, a method for classifying assets used in a heating network includes establishing an asset category correspondence table, wherein the asset category correspondence table includes several preset asset categories, and each preset asset category is associated with several preset asset identifiers.

[0007] The asset identifiers of the input assets are analyzed based on the asset category correspondence table to classify the input assets.

[0008] In some embodiments of the present application, a method for selecting a heating network block that requires attention and generating a heating network map includes obtaining GIS information and determining plane map information corresponding to the heating network based on the GIS information.

[0009] Based on the plan map information, a heating network map is generated in proportion, and based on the location information of different assets, asset nodes are set on the heating network map.

[0010] Analyze the connection relationship between different assets, connect different asset nodes on the heating network map, and form relationship connection lines.

[0011] The operation logic between different assets is analyzed, and data variable nodes are constructed for the relationship connection lines and different assets. Different data variable nodes determine the influence relationship between each other based on the operation logic analysis results.

[0012] In some embodiments of the present application, the method of constructing standard attribute factors and real-time attribute variable factors based on different attributes of assets includes analyzing the attributes of the assets, dividing them into variable attributes and immutable attributes, and quantifying each variable attribute.

[0013] Standard attribute factors are constructed based on the quantified variable attributes, and real-time attribute variable factors are constructed based on the changing characteristics of the variable attributes.

[0014] In some embodiments of the present application, the method for defining real-time attribute variable factors of different assets includes recording the dynamic change process of the heating network map and dynamically generating a plurality of first reference time periods.

[0015] The dynamic change process data of the heating network map is integrated according to the first reference time period to generate a map dynamic data group.

[0016] The graph dynamic data group and the first reference time period are used as feeding data for the supervised learning model, and the attribute variables of the assets that appear are used as labels to mark the feeding data to obtain a variable factor judgment model.

[0017] Based on the variable factor judgment model, the current heating network map is analyzed to define the real-time attribute variable factors of assets.

[0018] In some embodiments of the present application, the method for generating a dynamic data group of a graph includes scanning and analyzing each frame of the heating pipe network graph in the dynamic change process, determining the real-time attribute factors and pipeline operation intensity data of different assets in each frame of the heating pipe network graph, and constructing the real-time attribute factors and pipeline operation intensity data of different assets to generate a monomer dynamic data group.

[0019] The monomer dynamic data groups corresponding to all the heating network maps in the first time period are constructed according to the time process nodes to generate a map dynamic data group.

[0020] In some embodiments of the present application, the method for defining real-time attribute variable factors of different assets further includes:

[0021] Acquire several attribute marks of different assets, establish a first time reference line for the several attribute marks of different assets, and establish several attribute mark curves respectively with the first time reference line as a horizontal variable;

[0022] A vertical scanning line is established for a plurality of attribute mark curves, and intersection points of the vertical scanning line and the plurality of attribute mark curves are identified as a plurality of attribute mark points;

[0023] Methods for determining the status of corresponding assets based on current factors include:

[0024] Obtain standard attribute factors and real-time attribute variable factors of assets in the required area;

[0025] Calculate the difference between the standard attribute factor and the real-time attribute variable factor to determine the degree of difference between the standard attribute factor and the real-time attribute variable factor;

[0026] There is a preset standard deviation table corresponding to different assets;

[0027] If the difference between the standard attribute factor and the real-time attribute variable factor is lower than the standard deviation, it means that there is a strong fit between the standard attribute factor and the real-time attribute variable factor, indicating that the asset is stable;

[0028] If the difference between the standard attribute factor and the real-time attribute variable factor is higher than the standard deviation, it means that there is a weak fit between the standard attribute factor and the real-time attribute variable factor, which indicates that the asset is unstable.

[0029] In some embodiments of the present application, a system for heat supply network asset management is disclosed, including: an attribute construction module, which classifies the assets used in the heat supply network, and constructs different asset category sections based on different categories, and each asset category section is constructed with standard attribute factors and real-time attribute variable factors based on different attributes of the assets.

[0030] The map generation module selects the heating network blocks that need attention and generates a heating network map.

[0031] The marking feature module marks the operating characteristics on the heating network map according to the past operating characteristics of the heating network block, and defines the real-time attribute variable factors of the corresponding different assets on the heating network map according to the operating characteristic marks.

[0032] The asset determination module determines the status of the corresponding asset based on the difference characteristics between the defined real-time attribute variable factors and the standard attribute factors.

[0033] The present application discloses a heating network asset management method and system, which has the following advantages in terms of network asset management:

[0034] This application categorizes the assets used in the heating network to facilitate effective classification statistics, retrieval queries, etc. Based on the difference characteristics between the defined real-time attribute variable factors and standard attribute factors, the status of the corresponding assets is determined, and the heating network assets are managed systematically and accurately.

[0035] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A schematic diagram of a system module of a heating network asset management method and system in an embodiment of the present application;

[0037] Figure 2 This is a method step diagram of a heating pipe network asset management method and system in an embodiment of the present application. DETAILED DESCRIPTION

[0038] The technical solution of the present invention is further described below through the accompanying drawings and embodiments.

[0039] The following will be combined with the accompanying drawings and specific embodiments to clearly and completely describe the technical solution of the present invention. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and cannot be understood as limiting the scope of protection of the present invention. The skilled person in the field can make some non-essential improvements and adjustments based on the content of the present invention described below. In the present invention, unless otherwise clearly specified and limited, the technical terms used in this application should be the usual meanings understood by the technicians of the present invention. The terms "connected", "connected", "fixed", "set", etc. should be understood in a broad sense, which can be fixed connection, detachable connection, or integrated; can be directly connected, or indirectly connected through an intermediate medium; can be mechanically connected or electrically connected. Unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances. Unless otherwise clearly specified and limited, the first feature "above" or "below" the second feature can be that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, the first feature "above" or "above" or "above" the second feature can be that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below" or "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is smaller in horizontal height than the second feature. Relational terms such as first, second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. It should be noted that similar numbers and letters represent similar items in the following figures, and therefore, once an item is defined in one figure, it does not need to be further defined or explained in subsequent figures.

[0040] Example:

[0041] like Figure 1 The purpose of the present invention is to provide a method for managing heating network assets.

[0042] Step S1, classify the assets used in the heating network, and construct different asset category sections based on different categories. Each asset category section is constructed with standard attribute factors and real-time attribute variable factors based on different attributes of the assets.

[0043] It is important to understand that a preliminary asset management division can be made based on the drawings, and then revised and improved based on the construction drawings. Each asset category segment corresponds to different standard attribute factors and real-time attribute variable factors.

[0044] Among them, the method for classifying the assets used in the heating network includes establishing an asset category correspondence table, wherein the asset category correspondence table includes several preset asset categories, and each preset asset category is associated with several preset asset identifiers.

[0045] The asset identifiers of the input assets are analyzed based on the asset category correspondence table to classify the input assets.

[0046] Step S2, select the heating network blocks that need attention and generate a heating network map.

[0047] Among them, the method of selecting the heating network blocks that need attention and generating the heating network map includes obtaining GIS information and determining the plane map information corresponding to the heating network based on the GIS information.

[0048] It is important to understand that GIS, short for Geographic Information System, is a system for creating, managing, analyzing, and mapping all types of data.

[0049] Based on the plan map information, a heating network map is generated in proportion, and based on the location information of different assets, asset nodes are set on the heating network map.

[0050] Analyze the connection relationship between different assets, connect different asset nodes on the heating network map, and form relationship connection lines.

[0051] The operation logic between different assets is analyzed, and data variable nodes are constructed for the relationship connection lines and different assets. Different data variable nodes determine the influence relationship between each other based on the operation logic analysis results.

[0052] It is important to understand that different assets may have impact relationships, so the analysis is conducted based on both connection relationships and operational logic.

[0053] Step S3, marking the operation characteristics on the heating network map according to the past operation characteristics of the heating network block, and defining the real-time attribute variable factors of the corresponding different assets on the heating network map according to the operation characteristic marks.

[0054] Among them, the method of constructing standard attribute factors and real-time attribute variable factors based on different attributes of assets includes analyzing the attributes of assets, dividing variable attributes and immutable attributes, and quantifying each variable attribute.

[0055] Standard attribute factors are constructed based on the quantified variable attributes, and real-time attribute variable factors are constructed based on the changing characteristics of the variable attributes.

[0056] It is understandable that different assets involve different standard attribute factors and real-time attribute variable factors. The standard attribute factors are general standards estimated under normal circumstances, and the real-time attribute variable factors are changes that may occur due to different environments based on real-time conditions.

[0057] The method for defining the real-time attribute variable factors of different assets includes recording the dynamic change process of the heating network map and dynamically generating a number of first reference time periods.

[0058] The dynamic change process data of the heating network map is integrated according to the first reference time period to generate a map dynamic data group.

[0059] The graph dynamic data group and the first reference time period are used as feeding data for the supervised learning model, and the attribute variables of the assets that appear are used as labels to mark the feeding data to obtain a variable factor judgment model.

[0060] Based on the variable factor judgment model, the current heating network map is analyzed to define the real-time attribute variable factors of assets.

[0061] Among them, the method for generating a dynamic data group of a graph includes scanning and analyzing each frame of the heating pipe network graph in the dynamic change process, determining the real-time attribute factors of different assets and the pipeline operation intensity data in each frame of the heating pipe network graph, and constructing the real-time attribute factors and pipeline operation intensity data of different assets to generate a monomer dynamic data group.

[0062] The monomer dynamic data groups corresponding to all the heating network maps in the first time period are constructed according to the time process nodes to generate a map dynamic data group.

[0063] In addition, the method for defining real-time attribute variable factors of different assets may also include obtaining several attribute markers of different assets, establishing a first time reference line for the several attribute markers of different assets, and establishing several attribute marker curves using the first time reference line as a horizontal variable.

[0064] A vertical scan line is established for a plurality of attribute mark curves, and intersection points of the vertical scan line and the plurality of attribute mark curves are identified as a plurality of attribute mark points.

[0065] According to the current mismatch factors, the position of the vertical scanning line is determined, and several determined attribute landmark points are combined to construct a real-time attribute variable factor.

[0066] It should be understood that the real-time attribute variable factor involves multiple attributes, so there will be multiple attribute marks, such as wear resistance, corrosion resistance, pressure resistance, waterproof ability, etc.

[0067] Step S4, based on the difference characteristics between the defined real-time attribute variable factors and the standard attribute factors, the status of the corresponding assets is determined.

[0068] The method for determining the status of the corresponding assets includes obtaining standard attribute factors and real-time attribute variable factors of the required regional assets.

[0069] The difference between the standard attribute factor and the real-time attribute variable factor is calculated to determine the degree of difference between the standard attribute factor and the real-time attribute variable factor.

[0070] There is a preset standard deviation value table corresponding to different assets.

[0071] If the difference between the standard attribute factor and the real-time attribute variable factor is lower than the standard deviation, it means that there is a strong fit between the standard attribute factor and the real-time attribute variable factor, indicating that the asset is stable.

[0072] If the difference between the standard attribute factor and the real-time attribute variable factor is higher than the standard deviation, it means that there is a weak fit between the standard attribute factor and the real-time attribute variable factor, which indicates that the asset is unstable.

[0073] like Figure 2 The purpose of the present invention is to provide a system for heating network asset management, an attribute construction module, which categorizes the assets used in the heating network and constructs different asset category sections based on different categories. Each asset category section is constructed with standard attribute factors and real-time attribute variable factors based on different attributes of the assets.

[0074] The map generation module selects the heating network blocks that need attention and generates a heating network map;

[0075] The marking feature module marks the operating characteristics on the heating network map according to the past operating characteristics of the heating network block, and defines the real-time attribute variable factors of the corresponding different assets on the heating network map according to the operating characteristic marks.

[0076] The asset determination module determines the status of the corresponding asset based on the difference characteristics between the defined real-time attribute variable factors and the standard attribute factors.

[0077] The present application discloses a heating network asset management method and system, which has the following advantages in terms of network asset management:

[0078] This application categorizes the assets used in the heating network to facilitate effective classification statistics, retrieval queries, etc. Based on the difference characteristics between the defined real-time attribute variable factors and standard attribute factors, the status of the corresponding assets is determined, and the heating network assets are managed systematically and accurately.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for managing heating network assets, characterized in that: include: The assets used in the heating network are classified and different asset category sections are constructed based on different categories. Each asset category section is constructed with standard attribute factors and real-time attribute variable factors based on different attributes of the assets. Select the heating network blocks that need attention and generate a heating network map; According to the past operation characteristics of the heating network block, the operation characteristics are marked on the heating network map, and the real-time attribute variable factors of the corresponding different assets on the heating network map are defined according to the operation characteristics. Based on the difference characteristics between the defined real-time attribute variable factors and the standard attribute factors, the status of the corresponding assets is determined; The method of selecting the heating network block that needs attention and generating the heating network map includes: Obtain GIS information, and determine the plane map information corresponding to the heating network based on the GIS information; Based on the plan map information, a heat supply network map is generated in proportion, and based on the location information of different assets, asset nodes are set on the heat supply network map; Analyze the connection relationship between different assets, connect different asset nodes on the heating network map, and form relationship connection lines; The operation logic between different assets is analyzed, and data variable nodes are constructed for the relationship connection lines and different assets. Different data variable nodes determine the influence relationship between each other based on the operation logic analysis results.

2. A heating network asset management method according to claim 1, characterized in that: Methods for classifying assets used in heating networks include: An asset category correspondence table is established, the asset category correspondence table includes a number of preset asset categories, and each preset asset category is associated with a number of preset asset identifiers; The asset identifiers of the input assets are analyzed based on the asset category correspondence table to classify the input assets.

3. A heating network asset management method according to claim 1, characterized in that: Methods for constructing standard attribute factors and real-time attribute variable factors based on different attributes of assets include: Analyze the attributes of assets, divide them into mutable attributes and immutable attributes, and quantify each mutable attribute; Standard attribute factors are constructed based on the quantified variable attributes, and real-time attribute variable factors are constructed based on the changing characteristics of the variable attributes.

4. A heating network asset management method according to claim 3, characterized in that: Methods for defining real-time attribute variable factors for different assets include: Record the dynamic change process of the heating network map and dynamically generate a number of first reference time periods; Integrate the dynamic change process data of the heating network map according to the first reference time period to generate a map dynamic data group; The graph dynamic data group and the first reference time period are used as the feeding data of the supervised learning model, and the attribute variables of the assets that appear are used as labels to mark the feeding data, so as to obtain the variable factor judgment model; Based on the variable factor judgment model, the current heating network map is analyzed to define the real-time attribute variable factors of assets.

5. A heating network asset management method according to claim 4, characterized in that: The method of generating a dynamic data set of the atlas includes: Scan and analyze each frame of the heating network map in the dynamic change process, determine the real-time attribute factors of different assets and pipeline operation intensity data in each frame of the heating network map, and construct the real-time attribute factors of different assets and pipeline operation intensity data to generate a single dynamic data group; The monomer dynamic data groups corresponding to all the heating network maps in the first time period are constructed according to the time process nodes to generate a map dynamic data group.

6. A heating network asset management method according to claim 3, characterized in that: Methods for defining real-time attribute variable factors of different assets also include: Acquire several attribute marks of different assets, establish a first time reference line for the several attribute marks of different assets, and establish several attribute mark curves respectively with the first time reference line as a horizontal variable; A vertical scanning line is established for a plurality of attribute mark curves, and intersection points of the vertical scanning line and the plurality of attribute mark curves are identified as a plurality of attribute mark points; According to the current mismatch factors, the position of the vertical scanning line is determined, and several determined attribute landmark points are combined to construct a real-time attribute variable factor.

7. A heating network asset management method according to claim 1, characterized in that: Methods for determining the status of the corresponding assets include: Obtain standard attribute factors and real-time attribute variable factors of assets in the required area; Calculate the difference between the standard attribute factor and the real-time attribute variable factor to determine the degree of difference between the standard attribute factor and the real-time attribute variable factor; There is a preset standard deviation table corresponding to different assets; If the difference between the standard attribute factor and the real-time attribute variable factor is lower than the standard deviation, it means that there is a strong fit between the standard attribute factor and the real-time attribute variable factor, indicating that the asset is stable; If the difference between the standard attribute factor and the real-time attribute variable factor is higher than the standard deviation, it means that there is a weak fit between the standard attribute factor and the real-time attribute variable factor, which indicates that the asset is unstable.

8. A heating network asset management system, applied to a heating network asset management method as claimed in any one of claims 1 to 7, characterized in that: include, The attribute construction module categorizes the assets used in the heating network and constructs different asset category sections based on different categories. Each asset category section is constructed with standard attribute factors and real-time attribute variable factors based on different attributes of the assets. The map generation module selects the heating network blocks that need attention and generates a heating network map; The marking feature module marks the operation features on the heating network map according to the past operation features of the heating network block, and defines the real-time attribute variable factors of the corresponding different assets on the heating network map according to the operation feature marks; The asset determination module determines the status of the corresponding asset based on the difference characteristics between the defined real-time attribute variable factors and the standard attribute factors.

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