Thermoelectric customer production data system construction method and system based on knowledge graph

Abstract

The application relates to a knowledge graph-based thermal power plant customer production data system construction method and system, which comprises the following steps: obtaining instances of main equipment in a thermal power plant according to a thermal power plant equipment relationship file; obtaining instances of sub-equipment belonging to the instances of the main equipment in the thermal power plant according to a knowledge graph, the thermal power plant equipment relationship file and the instances of the main equipment in the thermal power plant, so that the structure system of the equipment in the thermal power plant is formed by the instances of the main equipment in the thermal power plant and the instances of the sub-equipment belonging to the instances of the main equipment in the thermal power plant; in the structure system of the equipment in the thermal power plant, actual data measuring points are marked according to a preset first strategy according to the knowledge graph, so that an initial thermal power plant customer production data system is obtained; in the initial thermal power plant customer production data system, corresponding standardized data points for outputting corresponding values according to the values measured by the actual data measuring points are set according to a preset second strategy according to the knowledge graph, so that a final thermal power plant customer production data system is obtained.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent thermal power technology, and in particular to a method and system for constructing a thermal power customer production data system based on a knowledge graph. BACKGROUND

[0002] There are two common methods for constructing a thermal power customer production data system. The first method is to map actual data points in a thermal power system to a single data point in the system and directly operate on the data. The second method is to define a complete structured database and then associate the data points.

[0003] The first method does not have a structured relationship and has low recognition. Therefore, a large amount of manual cost is required to access the data one by one and ensure the accuracy of the accessed data.

[0004] The second method does not define a data system under the device structure, but the device structure is defined and cannot be flexibly adapted to the customer's device structure. However, in actual thermal power production scenarios, the configuration of the device and the installation of the measuring point do not have uniform characteristics, so it is difficult to adapt to the actual thermal power customer production scenario with a flexible configuration of the structured data system. SUMMARY

[0005] (I) Technical problems to be solved

[0006] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present application provides a method and system for constructing a thermal power customer production data system based on a knowledge graph, which solves the technical problem that a large amount of manual cost is required or it is difficult to adapt to the actual thermal power customer production scenario when constructing a data system in the prior art, and the scope of application is small.

[0007] (II) Technical solutions

[0008] In order to achieve the above-mentioned purposes, the main technical solutions adopted by the present application include:

[0009] In a first aspect, the present application provides a method for constructing a thermal power customer production data system based on a knowledge graph, comprising:

[0010] S1, obtaining instances of main devices in a thermal power plant according to a pre-obtained thermal power plant device relationship file;

[0011] The thermal power plant device relationship file includes the name of each main device actually existing in the thermal power plant and the name and number of sub-devices under each main device.

[0012] S2, obtaining instances of sub-devices subordinate to the instances of the main devices in the thermal power plant according to the knowledge graph corresponding to the thermal power plant, the thermal power plant device relationship file and the instances of the main devices in the thermal power plant, so as to jointly constitute a structural system of devices in the thermal power plant with the instances of the main devices in the thermal power plant and the instances of the sub-devices subordinate to the instances of the main devices in the thermal power plant;

[0013] S3, in the structural system of devices in the thermal power plant, according to the knowledge graph corresponding to the thermal power plant, marking actual data measuring points for data representing sub-devices according to a preset first strategy, to obtain an initial thermal power plant production data system;

[0014] S4, in the initial thermal power plant production data system, according to the knowledge graph corresponding to the thermal power plant, setting corresponding standardized data points for outputting corresponding values according to the values measured by the actual data measuring points according to a preset second strategy, to obtain a final thermal power plant production data system.

[0015] Preferably,

[0016] The main devices actually existing in the thermal power plant include a circulating sulfurized bed boiler, a steam main pipe and a steam cylinder.

[0017] Preferably,

[0018] The pre-obtained knowledge graph includes first preset information, second preset information and third preset information;

[0019] The first preset information is type information of sub-devices subordinate to each main device actually existing in the thermal power plant;

[0020] The second preset information is the type of the data measuring point corresponding to the specified sub-device;

[0021] The third preset information is relationship information between the same type of data measuring point and the standardized data point corresponding thereto.

[0022] Preferably,

[0023] The type of the sub-devices subordinate to the circulating sulfurized bed boiler is one or more of a coal feeder, an induced draft fan and a furnace;

[0024] The second preset information specifically includes: if the specified sub-device is a coal feeder, then the type of the data measuring point corresponding to the coal feeder includes: coal feeding amount, frequency and sealing air pressure.

[0025] Preferably, the S2 specifically includes:

[0026] S21, determining the type of the sub-equipment under each main equipment in the thermal power plant according to the first preset information in the knowledge graph corresponding to the thermal power plant obtained in advance;

[0027] S22, constructing the instance of the sub-equipment belonging to the instance of the main equipment of the thermal power plant with the corresponding type and quantity based on the type of the sub-equipment under each main equipment in the thermal power plant and the name and quantity of the sub-equipment under each main equipment in the thermal power plant equipment relationship file, obtaining the structure system of the thermal power plant equipment composed of the instance of the main equipment in the thermal power plant and the instance of the sub-equipment belonging to the instance of the main equipment of the thermal power plant.

[0028] Preferably, the S3 specifically comprises:

[0029] In the structure system of the equipment in the thermal power plant, the instance corresponding to the specified sub-equipment in the second preset information in the knowledge graph is determined, and the corresponding actual data measuring point is marked on the instance according to the data measuring point type corresponding to the specified sub-equipment, to obtain the initial thermal power customer production data system.

[0030] Preferably, the S4 specifically comprises:

[0031] For each same data measuring point type in the initial thermal power customer production data system, the relationship information between the type of the actual data measuring point and the standardized data point in the third preset information in the knowledge graph is used to construct the standardized data point corresponding to the data measuring point type, to obtain the final thermal power customer production data system.

[0032] Preferably,

[0033] The standardized data point corresponding to the actual data measuring point of the data measuring point type of the coal supply amount is the total coal supply amount.

[0034] The standardized data point corresponding to the actual data measuring point of the data measuring point type of the sealing air pressure is the average sealing air pressure.

[0035] Preferably,

[0036] The third preset information specifically comprises:

[0037] The relationship between the data measuring point of the coal supply amount type and the total coal supply amount standardized data point is that the value of the total coal supply amount standardized data point is the sum of the values measured by all the actual data measuring points of the coal supply amount type;

[0038] The relationship between the data measuring point of the sealing air pressure type and the average sealing air pressure standardized data point is that the value of the average sealing air pressure standardized data is the average value of the values of all the data measuring points of the sealing air pressure type.

[0039] In another aspect, the embodiment of the present application also provides a system for executing the knowledge graph-based thermal power plant customer production data system construction method.

[0040] The first module is configured to acquire instances of main equipment in the thermal power plant according to a pre-acquired thermal power plant equipment relationship file.

[0041] The thermal power plant equipment relationship file includes the name of each main equipment actually existing in the thermal power plant and the name and number of sub-equipment under each main equipment.

[0042] The second module is configured to acquire instances of sub-equipment belonging to the instances of main equipment in the thermal power plant according to the pre-acquired knowledge graph corresponding to the thermal power plant, the thermal power plant equipment relationship file, and the instances of main equipment in the thermal power plant, so as to jointly constitute a structure system of equipment in the thermal power plant by the instances of main equipment in the thermal power plant and the instances of sub-equipment belonging to the instances of main equipment in the thermal power plant.

[0043] The third module is configured to mark actual data points for data representing sub-equipment according to the knowledge graph corresponding to the thermal power plant in the structure system of equipment in the thermal power plant according to a pre-set first strategy, so as to obtain an initial thermal power plant customer production data system.

[0044] The fourth module is configured to set corresponding standardized data points for outputting corresponding values according to values measured by actual data points according to the knowledge graph corresponding to the thermal power plant in the initial thermal power plant customer production data system according to a pre-set second strategy, so as to obtain a final thermal power plant customer production data system.

[0045] (Three) beneficial effects

[0046] The knowledge graph-based thermal power plant customer production data system construction method of the present application can reflect the hierarchical structure of production data by using the pre-acquired knowledge graph corresponding to the thermal power plant to construct the production data system, which is more clear and explicit in use. Meanwhile, the knowledge graph is pre-set according to the actual thermal power plant customer production scene, and the number of equipment in the thermal power plant and the data measuring points can be flexibly selected in the setting process of the knowledge graph. Therefore, the pre-acquired knowledge graph is used to construct the production data system, which is more suitable for the actual thermal power plant customer production scene. BRIEF DESCRIPTION OF DRAWINGS

[0047] Figure 1 The knowledge graph-based thermal power plant customer production data system construction method of the present application is shown in the flowchart.

[0048] Figure 2A hierarchical structure diagram of a knowledge graph corresponding to the thermal power plant in an embodiment of the present application is shown in the figure.

[0049] Figure 3 A thermal power customer production data system architecture diagram in an embodiment of the present application is shown in the figure.

[0050] Figure 4 A thermal power customer production data system architecture diagram in an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0051] In order to better explain the present application, and to facilitate understanding, the present application will be described in detail below with reference to the accompanying drawings, through specific embodiments.

[0052] In order to better understand the above technical solutions, exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a clearer, more thorough understanding of the present application, and to convey the complete scope of the present application to those skilled in the art.

[0053] Embodiment One

[0054] Referring to Figure 1 The present embodiment provides a thermal power customer production data system construction method based on a knowledge graph, comprising:

[0055] S1, obtaining instances of main equipment in a thermal power plant according to a pre-acquired thermal power plant equipment relationship file.

[0056] The thermal power plant equipment relationship file includes the name of each main equipment actually existing in the thermal power plant and the name and number of sub-equipment under each main equipment.

[0057] In actual application, the main equipment actually existing in the thermal power plant includes a circulating sulfurized bed boiler, a steam main pipe and a steam cylinder.

[0058] Among them, only the circulating sulfurized bed boiler has sub-equipment, and in the present embodiment, the circulating sulfurized bed boiler has two coal feeders, three induced draft fans and one furnace. The steam main pipe and the steam cylinder have no sub-equipment, that is, the number of sub-equipment under the steam main pipe and the steam cylinder is 0, and has no name.

[0059] For example, the thermal power plant equipment relationship file in the present embodiment includes the following table:

[0060] Customer power plant Circulating fluidized bed boiler Coal feeder 1 Coal feeder 2 Induced draft fan 1 Induced draft fan 2 Induced draft fan 3 Furnace Steam main Steam header 1 Steam header 2

[0061] S2, obtaining instances of sub-devices subordinate to instances of main devices in the thermal power plant according to the knowledge graph corresponding to the thermal power plant, the thermal power plant device relationship file and the instances of main devices in the thermal power plant, so as to jointly constitute a structural system of devices in the thermal power plant by the instances of main devices in the thermal power plant and the instances of sub-devices subordinate to the instances of main devices in the thermal power plant.

[0062] The hierarchical structure of the knowledge graph corresponding to the thermal power plant in the embodiment is shown in Figure 2 The pre-obtained knowledge graph includes first preset information, second preset information and third preset information. The first preset information is type information of sub-devices subordinate to each main device actually existing in the thermal power plant. The second preset information is the type of data measuring points corresponding to the specified sub-devices. The third preset information is relationship information between data measuring points of the same type and standardized data measuring points corresponding thereto.

[0063] In the actual application of the embodiment, the S2 specifically includes:

[0064] S21, determining the type of sub-devices subordinate to each main device actually existing in the thermal power plant according to the first preset information in the pre-obtained knowledge graph corresponding to the thermal power plant.

[0065] S22, based on the type of sub-devices subordinate to each main device in the thermal power plant and the name and quantity of sub-devices subordinate to each main device in the thermal power plant device relationship file, constructing instances of sub-devices subordinate to the instances of main devices in the thermal power plant having corresponding types and quantities under each instance of main devices in the thermal power plant, so as to obtain a structural system of devices in the thermal power plant jointly constituted by the instances of main devices in the thermal power plant and the instances of sub-devices subordinate to the instances of main devices in the thermal power plant.

[0066] S3, in the structural system of devices in the thermal power plant, according to the knowledge graph corresponding to the thermal power plant, marking actual data measuring points for representing data of sub-devices according to a preset first strategy, so as to obtain an initial thermal power plant production data system.

[0067] The actual data measuring point is the data directly collected from the sensor of the device. For example, the boiler has three coal feeders, and there are left, middle and right three coal feed amounts. The collection values of the three coal feed amounts are the original data measuring points (that is, the actual data measuring points of the coal feed amounts of the three coal feeders) without processing.

[0068] Specifically, the S3 specifically includes:

[0069] In the structural system of the equipment in the thermal power plant, an instance corresponding to a specified sub-equipment in the second preset information in the knowledge graph is determined, and a corresponding actual data measuring point is marked on the instance according to a data measuring point type corresponding to the specified sub-equipment, to obtain an initial thermal power customer production data system.

[0070] S4, in the initial thermal power customer production data system, according to the knowledge graph corresponding to the thermal power plant, a corresponding standardized data point for outputting a corresponding value according to a value measured by an actual data measuring point is set according to a preset second strategy, such as Figure 3 as shown, to obtain a final thermal power customer production data system.

[0071] The standardized data point is data obtained by processing data of an original data measuring point (actual data measuring point). Taking a coal feeder as an example, three coal feeding amounts need to be added to obtain a total coal feeding amount that can be used, and the separated several coal feeding amounts cannot be directly used.

[0072] In actual application, the type of the sub-equipment under the circulating fluidized bed boiler is one or several of a coal feeder, an induced draft fan, and a furnace; the second preset information specifically includes: if the specified sub-equipment is a coal feeder, then the type of the data measuring point corresponding to the coal feeder includes: coal feeding amount, frequency, and sealing air pressure.

[0073] In actual application of the embodiment, S4 specifically includes:

[0074] For each actual data measuring point of the same data measuring point type in the initial thermal power customer production data system, the relationship information between the type of actual data measuring point and the standardized data point in the third preset information in the knowledge graph is used to construct a corresponding standardized data point of the data measuring point type, to obtain the final thermal power customer production data system.

[0075] The standardized data point corresponding to the actual data measuring point of the coal feeding amount type is the total coal feeding amount. The standardized data point corresponding to the actual data measuring point of the sealing air pressure type is the average sealing air pressure.

[0076] The third preset information specifically includes: the relationship between the data measuring point of the coal feeding amount type and the total coal feeding amount standardized data point is that the value of the total coal feeding amount standardized data point is the sum of the values measured by all actual data measuring points of the coal feeding amount type.

[0077] The relationship between the data measuring point of the sealing air pressure type and the average sealing air pressure standardized data point is that the value of the average sealing air pressure standardized data is the average value of the values of all data measuring points of the sealing air pressure type.

[0078] The knowledge graph-based thermal power plant customer production data system construction method in the embodiment can reflect the hierarchical structure of the production data, and is clearer and more explicit in use.

[0079] Embodiment two

[0080] Referring to Figure 4 The embodiment provides a system for executing any of the knowledge graph-based thermal power plant customer production data system construction methods, and the system comprises:

[0081] A first module is configured to acquire instances of main equipment in a thermal power plant according to a pre-acquired thermal power plant equipment relationship file.

[0082] The thermal power plant equipment relationship file comprises the name of each main equipment actually existing in the thermal power plant and the name and quantity of sub-equipment under each main equipment.

[0083] Specifically, the thermal power plant equipment relationship file comprises the name of each main equipment actually existing in the thermal power plant and the name and quantity of sub-equipment under each main equipment.

[0084] In actual application, the main equipment actually existing in the thermal power plant comprises a circulating sulfurized bed boiler, a steam main pipe and a steam cylinder.

[0085] For example, the thermal power plant equipment relationship file in the embodiment comprises the following table:

[0086] Customer power plant Circulating fluidized bed boiler Coal feeder 1 Coal feeder 2 Induced draft fan 1 Induced draft fan 2 Induced draft fan 3 Furnace Steam main Steam header 1 Steam header 2

[0087] A second module is configured to acquire instances of sub-equipment belonging to the instances of main equipment in the thermal power plant according to the pre-acquired knowledge graph corresponding to the thermal power plant, the thermal power plant equipment relationship file and the instances of main equipment in the thermal power plant, so as to jointly form a structure system of equipment in the thermal power plant by the instances of main equipment in the thermal power plant and the instances of sub-equipment belonging to the instances of main equipment in the thermal power plant.

[0088] In actual application, the pre-acquired knowledge graph comprises first preset information, second preset information and third preset information; the first preset information is type information of sub-equipment belonging to each main equipment actually existing in the thermal power plant; the second preset information is the type of a data measuring point corresponding to a specified sub-equipment; and the third preset information is relationship information between a data measuring point of the same type and a standardized data point corresponding to the data measuring point.

[0089] In practical application of the embodiment, the second module is configured to determine types of sub-devices subordinate to each main device in the thermal power plant according to first preset information in the knowledge graph corresponding to the thermal power plant.

[0090] The second module is further configured to construct, based on the types of sub-devices subordinate to each main device in the thermal power plant and names and quantities of sub-devices subordinate to each main device in the thermal power plant device relationship file, instances of sub-devices subordinate to instances of the main devices of the thermal power plant, to obtain a structural system of devices of the thermal power plant composed of the instances of the main devices of the thermal power plant and the instances of the sub-devices subordinate to the instances of the main devices of the thermal power plant.

[0091] The third module is configured to mark actual data points for data representing sub-devices according to the knowledge graph corresponding to the thermal power plant and according to a preset first strategy in the structural system of devices of the thermal power plant, to obtain an initial thermal power plant production data system.

[0092] Specifically, the third module is configured to determine instances corresponding to the specified sub-devices in the second preset information in the knowledge graph in the structural system of devices of the thermal power plant, and mark corresponding actual data points on the instances according to types of data points corresponding to the specified sub-devices, to obtain the initial thermal power plant production data system.

[0093] The fourth module is configured to set corresponding standardized data points for outputting corresponding values according to values measured by actual data points according to the knowledge graph corresponding to the thermal power plant and according to a preset second strategy in the initial thermal power plant production data system, to obtain a final thermal power plant production data system.

[0094] Specifically, in practical application, the types of sub-devices subordinate to the circulating fluidized bed boiler are one or more of a coal feeder, an induced draft fan, and a furnace; and the second preset information specifically includes that, if the specified sub-device is the coal feeder, then the types of data points corresponding to the coal feeder include a coal feeding amount, a frequency, and a sealing air pressure.

[0095] In practical application of the embodiment, the fourth module is configured to, for each actual data point of the same type of data point in the initial thermal power plant production data system, construct a standardized data point corresponding to the type of data point by using relationship information between the type of actual data point and the standardized data point in the third preset information in the knowledge graph, to obtain the final thermal power plant production data system.

[0096] The standardized data point corresponding to the actual data point of the type of data point of the coal feeding amount is a total coal feeding amount.

[0097] The standardized data point corresponding to the actual data point of the data point type of the sealing air pressure is an average sealing air pressure.

[0098] The third preset information specifically comprises a relationship between a data point of a coal supply amount type and a total coal supply amount standardized data point, and the value of the total coal supply amount standardized data point is the sum of the values of all actual data points of the coal supply amount type.

[0099] The relationship between the data point of the sealing air pressure type and the average sealing air pressure standardized data point is that the value of the average sealing air pressure standardized data is the average value of the values of all data points of the sealing air pressure type.

[0100] The method for constructing a thermal power customer production data system based on a knowledge graph in the embodiment can reflect the hierarchical structure of the electric production data and is more clear and explicit when used, and the knowledge graph is set according to an actual thermal power customer production scene, and the number of equipment in the thermal power plant and the data measuring points can be flexibly selected in the setting process of the knowledge graph, so that the production data system constructed by using the pre-acquired knowledge graph can better adapt to the actual thermal power customer production scene.

[0101] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can adopt a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program codes.

[0102] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system) and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be realized by computer program instructions.

[0103] It should be noted that the description uses the term "comprising" not to mean "consisting only of" but to mean "including, permitting also of". It should be noted that in the claims the word "comprising" does not exclude other elements or steps than the ones stated in a claim. The word "a" preceding an element does not exclude the presence of a plurality of such elements. It should be noted that the word "one", "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. It should be noted that the word "first", "second" and the like used in the description does not necessarily mean the same. It is meant "first", "second" and so on can refer to different or the same elements or the like. Furthermore, the terms "comprise", "comprising", "comprises", "include", "including", "includes", "contain", "containing", "has", "having", "may" and "might" are to be construed to be open-ended terms, not limiting the item described by the terms to the point of excluding other non- specified items. By "comprising" or "containing" it is meant that other elements can also be present. It should be noted that the description uses the term "a" or "an" to describe one or more elements, which should be interpreted as meaning "one", "at least one" or "one or more". Unless otherwise defined, all terms used in the description are to be interpreted according to their ordinary meaning.

[0104] In addition, it should be pointed out that in the description of the present specification, the description of the terms "one embodiment", "some embodiments", "embodiment", "example", "specific example" or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. In addition, different embodiments or examples described in the present specification and the features of different embodiments or examples can be combined and combined by those skilled in the art without contradiction.

[0105] Although the preferred embodiments of the present application have been described, those skilled in the art can make further changes and modifications to the embodiments after learning the basic inventive concept. Therefore, the claims should be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0106] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application should also include these modifications and variations.

Claims

1. A method for constructing a knowledge graph-based thermoelectric customer production data system, characterized by, The method comprises the following steps: S1, obtaining instances of main equipment in a thermal power plant according to a pre-obtained thermal power plant equipment relationship file; wherein the thermal power plant equipment relationship file comprises the name of each main equipment actually existing in the thermal power plant and the name and number of sub-equipment under each main equipment; S2, obtaining instances of sub-equipment belonging to the instances of main equipment in the thermal power plant according to a pre-obtained knowledge graph corresponding to the thermal power plant, the thermal power plant equipment relationship file and the instances of main equipment in the thermal power plant, so as to jointly form a structural system of equipment in the thermal power plant with the instances of main equipment in the thermal power plant and the instances of sub-equipment belonging to the instances of main equipment in the thermal power plant; S3, in the structural system of equipment in the thermal power plant, marking actual data measuring points for data representing sub-equipment according to the knowledge graph corresponding to the thermal power plant according to a pre-set first strategy, so as to obtain an initial thermal power plant customer production data system; S4, in the initial thermal power plant customer production data system, setting corresponding standardized data points for outputting corresponding values according to the values measured by the actual data measuring points according to the knowledge graph corresponding to the thermal power plant according to a pre-set second strategy, so as to obtain a final thermal power plant customer production data system; the pre-obtained knowledge graph comprises first pre-set information, second pre-set information and third pre-set information; the first pre-set information is type information of sub-equipment under each main equipment actually existing in the thermal power plant; the second pre-set information is the type of data measuring points corresponding to the specified sub-equipment; the third pre-set information is relationship information between data measuring points of the same type and the standardized data points corresponding thereto.

2. The method according to claim 1, wherein the main equipment actually existing in the thermal power plant comprises a circulating sulfurized bed boiler, a steam main pipe and a steam cylinder.

3. The method according to claim 2, wherein the type of sub-equipment under the circulating sulfurized bed boiler is one or more of a coal feeder, an induced draft fan and a furnace; the second pre-set information specifically comprises: if the specified sub-equipment is a coal feeder, then the type of data measuring points corresponding to the coal feeder comprises coal feeding amount, frequency and sealing air pressure.

4. The method of claim 3, wherein, S21, determining the type of sub-equipment under each main equipment actually existing in the thermal power plant according to the first pre-set information in the pre-obtained knowledge graph corresponding to the thermal power plant; S22, based on the type of sub-equipment under each main equipment in the thermal power plant and the name and number of sub-equipment under each main equipment in the thermal power plant equipment relationship file, constructing instances of sub-equipment belonging to the instances of main equipment in the thermal power plant under each instance of main equipment in the thermal power plant, so as to obtain a structural system of equipment in the thermal power plant composed of the instances of main equipment in the thermal power plant and the instances of sub-equipment belonging to the instances of main equipment in the thermal power plant. S3 specifically comprises:

5. The method of claim 4, wherein, ​ In the structure system of the equipment in the thermal power plant, the instance corresponding to the specified sub-equipment in the second preset information in the knowledge graph is determined, and the corresponding actual data measuring point is marked on the instance according to the data measuring point type corresponding to the specified sub-equipment, so as to obtain an initial thermal power customer production data system.

6. The method of claim 5, wherein, The S4 specifically includes: For each actual data measuring point of the same data measuring point type in the initial thermal power customer production data system, the relationship information between the actual data measuring point and the standardized data point of the type in the third preset information in the knowledge graph is used to construct the standardized data point corresponding to the data measuring point type, so as to obtain the final thermal power customer production data system.

7. The method of claim 6, wherein, wherein the standardized data point corresponding to the actual data measuring point of the data measuring point type of the coal supply amount is the total coal supply amount; the standardized data point corresponding to the actual data measuring point of the data measuring point type of the sealing air pressure is the average sealing air pressure.

8. The method of claim 7, wherein, the third preset information specifically includes: the relationship between the data measuring point of the coal supply amount type and the total coal supply amount standardized data point is that the value of the total coal supply amount standardized data point is the sum of the values measured by all actual data measuring points of the coal supply amount type; the relationship between the data measuring point of the sealing air pressure type and the average sealing air pressure standardized data point is that the value of the average sealing air pressure standardized data is the average value of the values of all data measuring points of the sealing air pressure type.

9. A system for performing the knowledge graph-based thermoelectric customer production data system construction method of any one of claims 1-8, characterized by, including: The first module is configured to obtain the instances of the main equipment in the thermal power plant according to the pre-acquired thermal power plant equipment relationship file. The thermal power plant equipment relationship file includes the name of each main equipment actually existing in the thermal power plant and the name and number of the sub-equipment belonging to each main equipment. The second module is configured to obtain the instances of the sub-equipment belonging to the instances of the main equipment in the thermal power plant according to the pre-acquired knowledge graph corresponding to the thermal power plant, the thermal power plant equipment relationship file, and the instances of the main equipment in the thermal power plant, so as to jointly constitute the structure system of the equipment in the thermal power plant by the instances of the main equipment in the thermal power plant and the instances of the sub-equipment belonging to the instances of the main equipment in the thermal power plant. The third module is configured to mark the actual data measuring point for representing the data of the sub-equipment in the structure system of the equipment in the thermal power plant according to the preset first strategy and the knowledge graph corresponding to the thermal power plant, so as to obtain the initial thermal power customer production data system. The fourth module is configured to set the corresponding standardized data point for outputting the corresponding value according to the value measured by the actual data measuring point in the initial thermal power customer production data system according to the preset second strategy and the knowledge graph corresponding to the thermal power plant, so as to obtain the final thermal power customer production data system.

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