Thermal power plant area three-dimensional modeling method and system

Abstract

The invention relates to the technical field of thermal power plants, in particular to a thermal power plant area three-dimensional modeling method and system. Comprising the following steps: setting a plurality of monitoring sub-regions according to equipment parameters of a thermal power plant, and establishing a three-dimensional sub-model of each monitoring sub-region; establishing a regional association model according to the historical operation parameters, and setting calling parameters among the three-dimensional sub-models according to the regional association model; constructing a thermal power plant three-dimensional model according to all the three-dimensional sub-models and the calling parameters among the three-dimensional sub-models; a plurality of three-dimensional sub-models are constructed according to equipment parameters of a thermal power plant, the model construction efficiency is improved, corresponding sub-calling structures are constructed according to associated evaluation values among the three-dimensional sub-models, the switching efficiency among the three-dimensional sub-models is ensured, corresponding display parameters are set according to monitoring evaluation values of the three-dimensional sub-models, and the display efficiency of the thermal power plant is improved. Therefore, the query efficiency of the user on the monitoring data in the thermal power plant is improved.

Description

Technical Field

[0001] The present application relates to the technical field of thermal power plants, and in particular to a method and system for three-dimensional modeling of a thermal power plant area. Background Art

[0002] With the continuous deepening of power system reform and the gradual formation of the power market, the requirements for the intelligent level of power generation enterprises have also increased. New requirements and new challenges have prompted power companies to promote the breadth and depth of information construction, thereby improving the safety and reliability of operation, reducing operation and maintenance costs, reducing project costs, and adapting to the requirements of modern enterprise management.

[0003] In the existing thermal power plant management system, due to the dispersed layout of monitoring equipment, the monitoring data of different areas of the plant are collected in a dispersed manner, which makes it difficult to obtain comprehensive data of the thermal power plant. At the same time, the display effect of the monitoring data of the plant is poor, thereby reducing the management efficiency and quality of the plant. Summary of the invention

[0004] The purpose of this application is: to solve the above-mentioned technical problems, this application provides a three-dimensional modeling method and system for a thermal power plant area, aiming to improve the query efficiency of the monitoring data of the thermal power plant and enhance the linkage capability between various monitoring devices.

[0005] In some embodiments of the present application, multiple three-dimensional sub-models are constructed according to the equipment parameters of the thermal power plant to improve the efficiency of model building, and corresponding sub-call structures are constructed according to the associated evaluation values ​​between the three-dimensional sub-models to ensure the switching efficiency between the three-dimensional sub-models, and corresponding display parameters are set according to the monitoring evaluation values ​​of each three-dimensional sub-model, thereby improving the user's query efficiency for the monitoring data in the thermal power plant.

[0006] In some embodiments of the present application, when establishing a single three-dimensional sub-model, by constructing an associated call network of all internal monitoring devices, the linkage capability between the various monitoring devices is enhanced, thereby improving the efficiency of data collection within a single monitoring sub-area.

[0007] In some embodiments of the present application, a method for three-dimensional modeling of a thermal power plant area is provided, comprising:

[0008] According to the equipment parameters of the thermal power plant, multiple monitoring sub-areas are set up, and three-dimensional sub-models of each monitoring sub-area are established;

[0009] Establish a regional correlation model based on historical operating parameters, and set the calling parameters between various 3D sub-models based on the regional correlation model;

[0010] Construct a three-dimensional model of a thermal power plant according to all three-dimensional sub-models and the calling parameters between each three-dimensional sub-model;

[0011] When multiple monitoring sub-areas are set, they include:

[0012] A monitoring sub-area sequence A is established, A = (a1, a2 ... ai ... an), where ai is the ith monitoring sub-area and n is the number of monitoring sub-areas.

[0013] In some embodiments of the present application, when establishing a three-dimensional sub-model of each monitoring sub-area, it includes:

[0014] According to the monitoring sub-area sequence A, the i-th monitoring sub-area is selected as the target monitoring sub-area;

[0015] Acquire environmental data of the target monitoring sub-area and generate an initial sub-model of the target monitoring sub-area;

[0016] Generate a device node sequence B of the target monitoring sub-area according to the equipment parameters of the thermal power plant, B = (b1, b2...bi...bm), where bi is the i-th device node in the target monitoring sub-area; m is the number of device nodes in the target monitoring sub-area;

[0017] Generate an associated call network between each device node in the target monitoring sub-area according to the device node number sequence B;

[0018] Get the location parameters of each device node;

[0019] According to all the position parameters, the three-dimensional sub-model of the target monitoring sub-area is generated by associating the calling network and the initial sub-model;

[0020] Generate the three-dimensional sub-model of each monitoring sub-area in turn, and establish a three-dimensional sub-model sequence K, K = (k1, k2...ki...kn), where ki is the three-dimensional sub-model of the i-th monitoring sub-area.

[0021] In some embodiments of the present application, when generating an association call network between each device node in a target monitoring sub-area, the following steps are included:

[0022] According to the device node sequence B, the i-th device node is selected as the target device node;

[0023] Generate a connection evaluation value between the target device node and each device node, and generate a connection evaluation value sequence F, F = (f1, f2...fi...fm), where fi is the connection evaluation value between the target device node and the i-th device node;

[0024] Construct a sub-connection channel structure of the target device node according to the connection evaluation value sequence F;

[0025] The sub-connection channel structure of each device node is constructed in turn, and an associated call network is generated based on all the sub-connection channel structures.

[0026] In some embodiments of the present application, when generating the connection evaluation value between the target device node and each device node, it includes:

[0027] fi=e1*Q1*Y(p 1i )+e2*Q2*Ui;

[0028] Wherein, fi is the connection evaluation value between the target device node and the i-th device node; e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Y(x) is the functional relationship between the regional overlap and the primary reference value; p 1i is the area overlap between the mapping area of ​​the target device node and the mapping area of ​​the i-th device node; Ui is the probability value of a person entering the mapping area of ​​the i-th device node from the mapping area of ​​the target device node.

[0029] In some embodiments of the present application, when constructing a sub-connection channel structure of a target device node, the following steps are included:

[0030] Preset a first connection evaluation value interval (F1, F2);

[0031] If fi is in the preset first connection evaluation value interval, a data connection channel is generated between the target device node and the i-th device node;

[0032] A sub-connection channel structure of the target device node is constructed according to all data connection channels of the target device node.

[0033] In some embodiments of the present application, when setting the calling parameters between the three-dimensional sub-models according to the regional association model, it includes:

[0034] According to the three-dimensional sub-model sequence K, ki is set as the target three-dimensional sub-model in sequence;

[0035] Generate association evaluation values ​​between the target three-dimensional sub-model and each three-dimensional sub-model in sequence according to historical operation parameters;

[0036] Establishing a correlation evaluation value sequence D, D = (d1, d2 ... di ... dn), where di is the correlation evaluation value between the target three-dimensional sub-model and the i-th three-dimensional sub-model;

[0037] Preset a first correlation evaluation value threshold D1;

[0038] If di>D1, construct a calling channel between the target 3D sub-model and the i-th 3D sub-model;

[0039] Constructing a sub-call structure of the target three-dimensional sub-model according to all call channels of the target three-dimensional sub-model;

[0040] Generate the sub-call structure of each 3D sub-model in turn.

[0041] In some embodiments of the present application, when generating the association evaluation value between the target three-dimensional sub-model and each three-dimensional sub-model, it includes:

[0042] di=e3*Q3*Hi+e4*Q4*Ji;

[0043] Among them, di is the correlation evaluation value between the target three-dimensional sub-model and the i-th three-dimensional sub-model; e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; Hi is the first-level correlation between the monitoring sub-area corresponding to the target three-dimensional sub-model and the monitoring sub-area corresponding to the i-th three-dimensional sub-model; ji is the probability value of a person entering the monitoring sub-area corresponding to the i-th three-dimensional sub-model from the monitoring sub-area corresponding to the target three-dimensional sub-model.

[0044] In some embodiments of the present application, when constructing a three-dimensional model of a thermal power plant, the following steps are included:

[0045] Generate monitoring and evaluation values ​​for each three-dimensional sub-model;

[0046] Set the display parameters of each 3D sub-model according to all monitoring and evaluation values;

[0047] Get the sub-call structure of all 3D sub-models;

[0048] A three-dimensional model of a thermal power plant is constructed according to all sub-call structures and display parameters of each three-dimensional sub-model.

[0049] In some embodiments of the present application, a three-dimensional modeling system for a thermal power plant area is provided, characterized in that it includes:

[0050] The central control unit is used to set multiple monitoring sub-areas according to the equipment parameters of the thermal power plant and establish a three-dimensional sub-model of each monitoring sub-area;

[0051] A control unit, used for establishing a regional correlation model according to historical operation parameters, and setting calling parameters between various three-dimensional sub-models according to the regional correlation model;

[0052] A fusion unit, used for constructing a three-dimensional model of a thermal power plant according to all three-dimensional sub-models and calling parameters between each three-dimensional sub-model;

[0053] The central control unit comprises:

[0054] A first processing module, the first processing module is used to establish a monitoring sub-area sequence A, A = (a1, a2 ... ai ... an), where ai is the i-th monitoring sub-area; n is the number of monitoring sub-areas;

[0055] The second processing module is used to select the i-th monitoring sub-region as the target monitoring sub-region in sequence according to the monitoring sub-region sequence A;

[0056] Acquire environmental data of the target monitoring sub-area and generate an initial sub-model of the target monitoring sub-area;

[0057] Generate a device node sequence B of the target monitoring sub-area according to the equipment parameters of the thermal power plant, B = (b1, b2...bi...bm), where bi is the i-th device node in the target monitoring sub-area; m is the number of device nodes in the target monitoring sub-area;

[0058] Generate an associated call network between each device node in the target monitoring sub-area according to the device node number sequence B;

[0059] Get the location parameters of each device node;

[0060] According to all the position parameters, the three-dimensional sub-model of the target monitoring sub-area is generated by associating the calling network and the initial sub-model;

[0061] The second processing module is also used to generate three-dimensional sub-models of each monitoring sub-area in sequence, and establish a three-dimensional sub-model sequence K, K = (k1, k2...ki...kn), where ki is the three-dimensional sub-model of the i-th monitoring sub-area.

[0062] In some embodiments of the present application, the control unit includes:

[0063] According to the three-dimensional sub-model sequence K, ki is set as the target three-dimensional sub-model in sequence;

[0064] Generate association evaluation values ​​between the target three-dimensional sub-model and each three-dimensional sub-model in sequence according to historical operation parameters;

[0065] Establishing a correlation evaluation value sequence D, D = (d1, d2 ... di ... dn), wherein di is the correlation evaluation value between the target three-dimensional sub-model and the i-th three-dimensional sub-model;

[0066] Preset a first correlation evaluation value threshold D1;

[0067] If di>D1, construct a calling channel between the target 3D sub-model and the i-th 3D sub-model;

[0068] Constructing a sub-call structure of the target three-dimensional sub-model according to all call channels of the target three-dimensional sub-model;

[0069] Generate the sub-call structure of each 3D sub-model in turn.

[0070] Compared with the prior art, the method and system for three-dimensional modeling of a thermal power plant area in the embodiment of the present application has the following beneficial effects:

[0071] According to the equipment parameters of the thermal power plant, multiple three-dimensional sub-models are constructed to improve the efficiency of model building. According to the associated evaluation values ​​between the three-dimensional sub-models, the corresponding sub-call structure is constructed to ensure the switching efficiency between the three-dimensional sub-models. According to the monitoring evaluation values ​​of each three-dimensional sub-model, the corresponding display parameters are set, thereby improving the user's query efficiency for the monitoring data in the thermal power plant.

[0072] When establishing a single three-dimensional sub-model, by constructing an associated call network for all existing monitoring devices, the linkage capability between the various monitoring devices is enhanced, and the efficiency of data collection in a single monitoring sub-area is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 It is a flow chart of a method for three-dimensional modeling of a thermal power plant area in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0074] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0075] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0076] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0077] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0078] like Figure 1As shown, a method for three-dimensional modeling of a thermal power plant area in a preferred embodiment of the present application includes:

[0079] S101: setting a plurality of monitoring sub-areas according to equipment parameters of the thermal power plant, and establishing a three-dimensional sub-model of each monitoring sub-area;

[0080] S102: establishing a regional association model according to historical operation parameters, and setting calling parameters between various three-dimensional sub-models according to the regional association model;

[0081] S103: constructing a three-dimensional model of a thermal power plant according to all three-dimensional sub-models and calling parameters between each three-dimensional sub-model;

[0082] When multiple monitoring sub-areas are set, they include:

[0083] A monitoring sub-area sequence A is established, A = (a1, a2 ... ai ... an), where ai is the ith monitoring sub-area and n is the number of monitoring sub-areas.

[0084] Specifically, multiple monitoring sub-areas are set according to different operating areas in the thermal power plant, and a three-dimensional sub-model of each monitoring sub-area is constructed in turn, thereby reducing the difficulty of building a single three-dimensional sub-model and improving the overall construction efficiency.

[0085] Specifically, by modeling each monitoring sub-area separately and setting the corresponding display parameters, under normal conditions, only part of the three-dimensional sub-model is displayed, which reduces the resource usage of the three-dimensional model of the thermal power plant. At the same time, through the calling channels between the three-dimensional sub-models, the user's data query efficiency is improved.

[0086] Specifically, when establishing the three-dimensional sub-model of each monitoring sub-area, it includes:

[0087] According to the monitoring sub-area sequence A, the i-th monitoring sub-area is selected as the target monitoring sub-area;

[0088] Acquire environmental data of the target monitoring sub-area and generate an initial sub-model of the target monitoring sub-area;

[0089] Generate a device node sequence B of the target monitoring sub-area according to the equipment parameters of the thermal power plant, B = (b1, b2...bi...bm), where bi is the i-th device node in the target monitoring sub-area; m is the number of device nodes in the target monitoring sub-area;

[0090] Generate an associated call network between each device node in the target monitoring sub-area according to the device node number sequence B;

[0091] Get the location parameters of each device node;

[0092] According to all the position parameters, the three-dimensional sub-model of the target monitoring sub-area is generated by associating the calling network and the initial sub-model;

[0093] Generate the three-dimensional sub-model of each monitoring sub-area in turn, and establish a three-dimensional sub-model sequence K, K = (k1, k2...ki...kn), where ki is the three-dimensional sub-model of the i-th monitoring sub-area.

[0094] Specifically, through 3D laser scanning technology, point cloud location information consistent with the on-site environment is generated, and the initial sub-model of each monitoring sub-area is made. The device node series is constructed according to the parameters of all monitoring equipment in a single monitoring sub-area. At the same time, the corresponding association call network is constructed according to the association between each monitoring equipment, which improves the efficiency of monitoring data collection in the monitoring sub-area and reduces the time of switching between different monitoring equipment when people move. Improve the monitoring and early warning efficiency of the monitoring sub-area.

[0095] In a preferred embodiment of the present application, when generating an associated call network between each device node in the target monitoring sub-area, it includes:

[0096] According to the device node sequence B, the i-th device node is selected as the target device node;

[0097] Generate a connection evaluation value between the target device node and each device node, and generate a connection evaluation value sequence F, F = (f1, f2...fi...fm), where fi is the connection evaluation value between the target device node and the i-th device node;

[0098] Construct a sub-connection channel structure of the target device node according to the connection evaluation value sequence F;

[0099] The sub-connection channel structure of each device node is constructed in turn, and an associated call network is generated based on all the sub-connection channel structures.

[0100] Specifically, when generating the connection evaluation value between the target device node and each device node, it includes:

[0101] fi=e1*Q1*Y(p 1i )+e2*Q2*Ui;

[0102] Wherein, fi is the connection evaluation value between the target device node and the i-th device node; e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Y(x) is the functional relationship between the regional overlap and the primary reference value; p 1i is the area overlap between the mapping area of ​​the target device node and the mapping area of ​​the i-th device node; Ui is the probability value of a person entering the mapping area of ​​the i-th device node from the mapping area of ​​the target device node.

[0103] Specifically, by setting the first fixed coefficient and the second fixed coefficient, each evaluation index in the model is normalized so that each evaluation index is in the same value range.

[0104] Specifically, the larger the connection evaluation value is, the greater the correlation between the target device node and the i-th device node is, that is, in the current monitoring sub-area, the greater the possibility of collaborative monitoring between the target device node and the i-th device node is.

[0105] Specifically, when constructing the sub-connection channel structure of the target device node, it includes:

[0106] Preset a first connection evaluation value interval (F1, F2);

[0107] If fi is in the preset first connection evaluation value interval, a data connection channel is generated between the target device node and the i-th device node;

[0108] A sub-connection channel structure of the target device node is constructed according to all data connection channels of the target device node.

[0109] It can be understood that in the above embodiment, the data connection channel between the target device node and each device node is dynamically set according to the connection evaluation value, and the sub-connection channel structure of the target device node is constructed, so that when monitoring personnel in the monitoring sub-area, rapid switching between the target device node and the corresponding device node is achieved through the sub-connection channel structure, and automatic switching of the video when the personnel moves is achieved, thereby enhancing the linkage capability between the various monitoring devices and improving the efficiency of data collection in a single monitoring sub-area.

[0110] In a preferred embodiment of the present application, when setting the calling parameters between the three-dimensional sub-models according to the regional association model, it includes:

[0111] According to the three-dimensional sub-model sequence K, ki is set as the target three-dimensional sub-model in sequence;

[0112] Generate association evaluation values ​​between the target three-dimensional sub-model and each three-dimensional sub-model in sequence according to historical operation parameters;

[0113] Establishing a correlation evaluation value sequence D, D = (d1, d2 ... di ... dn), wherein di is the correlation evaluation value between the target three-dimensional sub-model and the i-th three-dimensional sub-model;

[0114] Preset a first correlation evaluation value threshold D1;

[0115] If di>D1, construct a calling channel between the target 3D sub-model and the i-th 3D sub-model;

[0116] Constructing a sub-call structure of the target three-dimensional sub-model according to all call channels of the target three-dimensional sub-model;

[0117] Generate the sub-call structure of each 3D sub-model in turn.

[0118] Specifically, fast switching between two 3D sub-models can be achieved according to the calling channel. When users use the 3D model of a thermal power plant, some 3D sub-models are displayed preferentially according to the monitoring and evaluation values ​​of each 3D sub-model. Fast switching between 3D sub-models can be achieved according to user needs and sub-calling structure, thereby improving the user's data query efficiency.

[0119] Specifically, when generating the correlation evaluation value between the target 3D sub-model and each 3D sub-model, it includes:

[0120] di=e3*Q3*Hi+e4*Q4*Ji;

[0121] Among them, di is the correlation evaluation value between the target three-dimensional sub-model and the i-th three-dimensional sub-model; e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; Hi is the first-level correlation between the monitoring sub-area corresponding to the target three-dimensional sub-model and the monitoring sub-area corresponding to the i-th three-dimensional sub-model; ji is the probability value of a person entering the monitoring sub-area corresponding to the i-th three-dimensional sub-model from the monitoring sub-area corresponding to the target three-dimensional sub-model.

[0122] Specifically, by presetting the third fixed coefficient and the fourth fixed coefficient, all evaluation indicators in the model are normalized so that each evaluation indicator is in the same value range.

[0123] Specifically, the higher the correlation evaluation value is, the greater the possibility that the monitoring sub-area corresponding to the target 3D sub-model and the monitoring sub-area corresponding to the 3D sub-model will work continuously, and the greater the possibility that the two 3D sub-models will be displayed continuously.

[0124] Specifically, the first-level correlation degree is set according to the correlation and operation process between the monitoring sub-area corresponding to the target three-dimensional sub-model and the operating equipment in the monitoring sub-area corresponding to the i-th three-dimensional sub-model. The higher the first-level correlation degree, the higher the degree of correlation between the equipment in the corresponding two monitoring sub-areas.

[0125] It can be understood that in the above embodiment, a corresponding sub-call structure is constructed according to the correlation evaluation values ​​between the three-dimensional sub-models to ensure the switching efficiency between the three-dimensional sub-models, thereby ensuring the user's calling efficiency for each three-dimensional sub-model.

[0126] In a preferred embodiment of the present application, when constructing a three-dimensional model of a thermal power plant, the following steps are included:

[0127] Generate monitoring and evaluation values ​​for each three-dimensional sub-model;

[0128] Set the display parameters of each 3D sub-model according to all monitoring and evaluation values;

[0129] Get the sub-call structure of all 3D sub-models;

[0130] A three-dimensional model of a thermal power plant is constructed according to all sub-call structures and display parameters of each three-dimensional sub-model.

[0131] Specifically, the corresponding monitoring evaluation value is set according to the monitoring sub-area corresponding to each three-dimensional sub-model. The larger the monitoring evaluation value, the more important the corresponding monitoring sub-area is. The display order, data display volume and display effect of each three-dimensional sub-model when no one calls it are set according to all the monitoring evaluation values, thereby reducing the resource occupation of the three-dimensional model of the thermal power plant while ensuring the user's data query efficiency.

[0132] Based on another preferred embodiment of a method for three-dimensional modeling of a thermal power plant area in any of the above preferred embodiments, this preferred embodiment provides a three-dimensional modeling system for a thermal power plant area, including:

[0133] The central control unit is used to set multiple monitoring sub-areas according to the equipment parameters of the thermal power plant and establish a three-dimensional sub-model of each monitoring sub-area;

[0134] A control unit, used for establishing a regional correlation model according to historical operation parameters, and setting calling parameters between various three-dimensional sub-models according to the regional correlation model;

[0135] A fusion unit, used for constructing a three-dimensional model of a thermal power plant according to all three-dimensional sub-models and calling parameters between each three-dimensional sub-model;

[0136] The central control unit includes:

[0137] The first processing module is used to establish a monitoring sub-area sequence A, A = (a1, a2...ai...an), where ai is the i-th monitoring sub-area; n is the number of monitoring sub-areas;

[0138] The second processing module is used to select the i-th monitoring sub-region as the target monitoring sub-region in sequence according to the monitoring sub-region sequence A;

[0139] Acquire environmental data of the target monitoring sub-area and generate an initial sub-model of the target monitoring sub-area;

[0140] Generate a device node sequence B of the target monitoring sub-area according to the equipment parameters of the thermal power plant, B = (b1, b2...bi...bm), where bi is the i-th device node in the target monitoring sub-area; m is the number of device nodes in the target monitoring sub-area;

[0141] Generate an associated call network between each device node in the target monitoring sub-area according to the device node number sequence B;

[0142] Get the location parameters of each device node;

[0143] According to all the position parameters, the three-dimensional sub-model of the target monitoring sub-area is generated by associating the calling network and the initial sub-model;

[0144] The second processing module is also used to generate three-dimensional sub-models of each monitoring sub-area in turn, and establish a three-dimensional sub-model sequence K, K = (k1, k2...ki...kn), where ki is the three-dimensional sub-model of the i-th monitoring sub-area.

[0145] Specifically, the control unit includes:

[0146] According to the three-dimensional sub-model sequence K, ki is set as the target three-dimensional sub-model in sequence;

[0147] Generate association evaluation values ​​between the target three-dimensional sub-model and each three-dimensional sub-model in sequence according to historical operation parameters;

[0148] Establishing a correlation evaluation value sequence D, D = (d1, d2 ... di ... dn), wherein di is the correlation evaluation value between the target three-dimensional sub-model and the i-th three-dimensional sub-model;

[0149] Preset a first correlation evaluation value threshold D1;

[0150] If di>D1, construct a calling channel between the target 3D sub-model and the i-th 3D sub-model;

[0151] Constructing a sub-call structure of the target three-dimensional sub-model according to all call channels of the target three-dimensional sub-model;

[0152] Generate the sub-call structure of each 3D sub-model in turn.

[0153] According to the first concept of the present application, multiple three-dimensional sub-models are constructed according to the equipment parameters of the thermal power plant to improve the efficiency of model building, and corresponding sub-call structures are constructed according to the associated evaluation values ​​between the three-dimensional sub-models to ensure the switching efficiency between the three-dimensional sub-models, and corresponding display parameters are set according to the monitoring evaluation values ​​of each three-dimensional sub-model, thereby improving the user's query efficiency for the monitoring data in the thermal power plant.

[0154] According to the second concept of the present application, when establishing a single three-dimensional sub-model, by constructing an associated call network of all the internal monitoring devices, the linkage capability between the various monitoring devices is enhanced, thereby improving the efficiency of data collection in a single monitoring sub-area.

[0155] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A three-dimensional modeling method for a thermal power plant area, characterized in that: include: According to the equipment parameters of the thermal power plant, multiple monitoring sub-areas are set up, and three-dimensional sub-models of each monitoring sub-area are established; Establish a regional correlation model based on historical operating parameters, and set the calling parameters between various 3D sub-models based on the regional correlation model; Construct a three-dimensional model of a thermal power plant according to all three-dimensional sub-models and the calling parameters between each three-dimensional sub-model; When multiple monitoring sub-areas are set, they include: A monitoring sub-area sequence A is established, A = (a1, a2 ... ai ... an), where ai is the ith monitoring sub-area and n is the number of monitoring sub-areas.

2. The method for three-dimensional modeling of a thermal power plant area according to claim 1, characterized in that: When establishing the 3D sub-model of each monitoring sub-area, it includes: According to the monitoring sub-area sequence A, the i-th monitoring sub-area is selected as the target monitoring sub-area; Acquire environmental data of the target monitoring sub-area and generate an initial sub-model of the target monitoring sub-area; Generate a device node sequence B of the target monitoring sub-area according to the equipment parameters of the thermal power plant, B = (b1, b2...bi...bm), where bi is the i-th device node in the target monitoring sub-area; m is the number of device nodes in the target monitoring sub-area; Generate an associated call network between each device node in the target monitoring sub-area according to the device node number sequence B; Get the location parameters of each device node; According to all the position parameters, the three-dimensional sub-model of the target monitoring sub-area is generated by associating the calling network and the initial sub-model; Generate the three-dimensional sub-model of each monitoring sub-area in turn, and establish a three-dimensional sub-model sequence K, K = (k1, k2...ki...kn), where ki is the three-dimensional sub-model of the i-th monitoring sub-area.

3. The method for three-dimensional modeling of a thermal power plant area according to claim 2, characterized in that: When generating the associated call network between each device node in the target monitoring sub-area, it includes: According to the device node sequence B, the i-th device node is selected as the target device node; Generate a connection evaluation value between the target device node and each device node, and generate a connection evaluation value sequence F, F = (f1, f2...fi...fm), where fi is the connection evaluation value between the target device node and the i-th device node; Construct a sub-connection channel structure of the target device node according to the connection evaluation value sequence F; The sub-connection channel structure of each device node is constructed in turn, and an associated call network is generated based on all the sub-connection channel structures.

4. The method for three-dimensional modeling of a thermal power plant area according to claim 3, characterized in that: When generating the connection evaluation value between the target device node and each device node, it includes: <h2 style=";text-align:left;direction:ltr">fi = e1 = Q1 = Y(p<h2 style=";text-align:left;direction:ltr"> 1i <h2 style=";text-align:left;direction:ltr"> )+e2*Q2*Ui; Wherein, fi is the connection evaluation value between the target device node and the i-th device node; e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Y(x) is the functional relationship between the regional overlap and the primary reference value; p 1i is the area overlap between the mapping area of ​​the target device node and the mapping area of ​​the i-th device node; Ui is the probability value of a person entering the mapping area of ​​the i-th device node from the mapping area of ​​the target device node.

5. The method for three-dimensional modeling of a thermal power plant area according to claim 3, characterized in that: When constructing the sub-connection channel structure of the target device node, it includes: Preset a first connection evaluation value interval (F1, F2); If fi is in the preset first connection evaluation value interval, a data connection channel is generated between the target device node and the i-th device node; A sub-connection channel structure of the target device node is constructed according to all data connection channels of the target device node.

6. The method for three-dimensional modeling of a thermal power plant area according to claim 5, characterized in that: When setting the calling parameters between the 3D sub-models according to the regional association model, it includes: According to the three-dimensional sub-model sequence K, ki is set as the target three-dimensional sub-model in sequence; Generate association evaluation values ​​between the target three-dimensional sub-model and each three-dimensional sub-model in sequence according to historical operation parameters; Establishing a correlation evaluation value sequence D, D = (d1, d2 ... di ... dn), where di is the correlation evaluation value between the target three-dimensional sub-model and the i-th three-dimensional sub-model; Preset a first correlation evaluation value threshold D1; If di>D1, construct a calling channel between the target 3D sub-model and the i-th 3D sub-model; Constructing a sub-call structure of the target three-dimensional sub-model according to all call channels of the target three-dimensional sub-model; Generate the sub-call structure of each 3D sub-model in turn.

7. The method for three-dimensional modeling of a thermal power plant area according to claim 6, characterized in that: When generating the correlation evaluation value between the target 3D sub-model and each 3D sub-model, it includes: di=e3*Q3*Hi+e4*Q4*Ji; Among them, di is the correlation evaluation value between the target three-dimensional sub-model and the i-th three-dimensional sub-model; e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; Hi is the first-level correlation between the monitoring sub-area corresponding to the target three-dimensional sub-model and the monitoring sub-area corresponding to the i-th three-dimensional sub-model; ji is the probability value of a person entering the monitoring sub-area corresponding to the i-th three-dimensional sub-model from the monitoring sub-area corresponding to the target three-dimensional sub-model.

8. The method for three-dimensional modeling of a thermal power plant area according to claim 7, characterized in that: When building a 3D model of a thermal power plant, it includes: Generate monitoring and evaluation values ​​for each three-dimensional sub-model; Set the display parameters of each 3D sub-model according to all monitoring and evaluation values; Get the sub-call structure of all 3D sub-models; A three-dimensional model of a thermal power plant is constructed according to all sub-call structures and display parameters of each three-dimensional sub-model.

9. A three-dimensional modeling system for a thermal power plant area, characterized in that: include: The central control unit is used to set multiple monitoring sub-areas according to the equipment parameters of the thermal power plant and establish a three-dimensional sub-model of each monitoring sub-area; A control unit, used for establishing a regional correlation model according to historical operation parameters, and setting calling parameters between various three-dimensional sub-models according to the regional correlation model; A fusion unit, used for constructing a three-dimensional model of a thermal power plant according to all three-dimensional sub-models and calling parameters between each three-dimensional sub-model; The central control unit comprises: A first processing module, the first processing module is used to establish a monitoring sub-area sequence A, A = (a1, a2 ... ai ... an), where ai is the i-th monitoring sub-area; n is the number of monitoring sub-areas; The second processing module is used to select the i-th monitoring sub-region as the target monitoring sub-region in sequence according to the monitoring sub-region sequence A; Acquire environmental data of the target monitoring sub-area and generate an initial sub-model of the target monitoring sub-area; Generate a device node sequence B of the target monitoring sub-area according to the equipment parameters of the thermal power plant, B = (b1, b2...bi...bm), where bi is the i-th device node in the target monitoring sub-area; m is the number of device nodes in the target monitoring sub-area; Generate an associated call network between each device node in the target monitoring sub-area according to the device node number sequence B; Get the location parameters of each device node; According to all the position parameters, the three-dimensional sub-model of the target monitoring sub-area is generated by associating the calling network and the initial sub-model; The second processing module is also used to generate three-dimensional sub-models of each monitoring sub-area in sequence, and establish a three-dimensional sub-model sequence K, K = (k1, k2...ki...kn), where ki is the three-dimensional sub-model of the i-th monitoring sub-area.

10. The thermal power plant area three-dimensional modeling system according to claim 9, characterized in that: The control unit includes: According to the three-dimensional sub-model sequence K, ki is set as the target three-dimensional sub-model in sequence; Generate association evaluation values ​​between the target three-dimensional sub-model and each three-dimensional sub-model in sequence according to historical operation parameters; Establishing a correlation evaluation value sequence D, D = (d1, d2 ... di ... dn), where di is the correlation evaluation value between the target three-dimensional sub-model and the i-th three-dimensional sub-model; Preset a first correlation evaluation value threshold D1; If di>D1, construct a calling channel between the target 3D sub-model and the i-th 3D sub-model; Constructing a sub-call structure of the target three-dimensional sub-model according to all call channels of the target three-dimensional sub-model; Generate the sub-call structure of each 3D sub-model in turn.

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