DCS control system economic benefit evaluation model based on data mining

Abstract

The invention discloses a DCS control system economic benefit evaluation model based on data mining, and the model comprises a grading docking module, a central processing module, a dispersion instruction module, a display output module, a cloud platform module, a data mining module, a data processing module, a model replacement module, and a model evaluation module. The cloud platform module and the hierarchical docking module are both in control connection with the central processing module, the data mining module is used for deleting, selecting and mining corresponding equivalent data, and the analysis precision of the model is guaranteed; corresponding parameters of the model are adjusted in real time through the arranged model changing module, updating iteration is automatically conducted on the model, manual participation in the processing process is not needed, the updating period of the model is shortened, and the timeliness of benefit evaluation of the system model is guaranteed; and the equivalent data is screened through the data processing module in combination with linear judgment parameters, so that the calculation result of the model is prevented from being influenced by abnormal data of a network end, and the practicability of the system model is guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of DCS control systems, in particular to an economic benefit evaluation model of a DCS control system based on data mining. Background Art

[0002] Distributed control system is referred to as DCS. It adopts the basic design idea of ​​decentralized control and centralized operation and management, and adopts a multi-level hierarchical, cooperative and autonomous structure. Its main features are its centralized management and decentralized control. It has been widely used in the field of economic analysis. The existing DCS control system model for economic benefit evaluation can basically meet daily use needs, but there are still certain shortcomings. First, the existing DCS control system model for economic benefit evaluation has a single functionality and cannot select and mine the corresponding equivalent data according to the parameter selection analysis of the economic model, which affects the analysis accuracy of the system model; second, the existing DCS control system model for economic benefit evaluation requires manual participation in the iterative update process, and the model update cycle is long, which affects the timeliness of the system model benefit evaluation; third, the existing DCS control system model for economic benefit evaluation cannot exclude abnormal data transmitted, and the abnormal data on the network end will be mixed and affect the calculation results of the model, thereby reducing the practicality of the model; therefore, it is necessary to design a DCS control system economic benefit evaluation model based on data mining. Summary of the invention

[0003] The purpose of the present invention is to provide a DCS control system economic benefit evaluation model based on data mining to solve the problems raised in the above background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical scheme: a DCS control system economic benefit evaluation model based on data mining, comprising a hierarchical docking module, a central processing module, a decentralized instruction module, a display output module, a cloud platform module, a data mining module, a data processing module, a model iteration module and a model evaluation module, wherein the cloud platform module and the hierarchical docking module both control the connection to the central processing module, the central processing module respectively controls the connection to the decentralized instruction module, the display output module and the data mining module, the data mining module controls the connection to the data processing module, the data processing module controls the connection to the model iteration module, the model iteration module respectively controls the connection to the model evaluation module and the central processing module, and the model evaluation module controls the connection to the central processing module.

[0005] Preferably, the data mining module is composed of a data receiving module, a data screening module, a data fusion module, a mining analysis module, a mining output module, an equivalent analysis module and a scheduling analysis module, and the data receiving module controls the connection to the data screening module.

[0006] Preferably, the data screening module controls the connection to the data fusion module, and the data fusion module controls the connection to the mining and analysis module.

[0007] Preferably, the mining analysis module controls the connection scheduling analysis module and the mining output module respectively, and the mining output module controls the connection equivalent analysis module.

[0008] Preferably, the data processing module is composed of a processing receiving module, a linear analysis module, a coefficient adjustment module, a data screening module and a processing output module, and the coefficient adjustment module controls the connection of the linear analysis module and the data screening module respectively.

[0009] Preferably, the processing receiving module controls the connection to the linear analysis module, the linear analysis module controls the connection to the data screening module, and the data screening module controls the connection to the processing output module.

[0010] Preferably, the model iteration module is composed of an equivalent input module, a scheduling adjustment module, a scheduling output module, a parameter iteration module and an iteration output module. The equivalent input module controls the connection to the scheduling adjustment module, and the scheduling adjustment module controls the connection to the scheduling output module.

[0011] Preferably, the scheduling adjustment module controls the connection parameter iteration module, and the parameter iteration module controls the connection iteration output module.

[0012] Preferably, the model evaluation module is composed of an initial model module, an iterative import module, a repository module, a calling calculation module, a parameter analysis module and a calculation output module. The iterative import module controls the connection between the initial model module and the calling calculation module respectively, and the calling calculation module controls the connection between the calculation output module.

[0013] Preferably, the initial model module controls the connection to the repository module, the repository module controls the connection to the calling calculation module, the calling calculation module controls the connection to the parameter analysis module, and the parameter analysis module controls the connection to the calculation output module.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: the economic benefit evaluation model of the DCS control system based on data mining collects cloud data and terminal data through a data mining module and selects and mines corresponding equivalent data based on parameter selection analysis of the economic model, thereby ensuring the analysis accuracy of the model; the corresponding parameters of the model are adjusted in real time by using the set model iteration module, and the model is automatically updated and iterated without manual participation in the processing process, thereby shortening the update cycle of the model and ensuring the timeliness of the system model benefit evaluation; the linear coefficient of the equivalent data is calculated by the set data processing module, and then the data screening module screens the equivalent data in combination with the linear judgment parameter, excludes nonlinear data in the equivalent data group, and avoids abnormal data on the network end affecting the calculation results of the model, thereby ensuring the practicality of the system model. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of the system model of the present invention;

[0016] Figure 2 It is a system model framework diagram of the present invention;

[0017] Figure 3 It is a flow chart of the data mining module in the present invention;

[0018] Figure 4 It is a flow chart of the data processing module in the present invention;

[0019] Figure 5 This is a flow chart of the model iteration module in the present invention;

[0020] Figure 6 is a flow chart of the model evaluation module in the present invention;

[0021] In the figure: 1. Hierarchical docking module; 2. Central processing module; 3. Distributed instruction module; 4. Display output module; 5. Cloud platform module; 6. Data mining module; 7. Data processing module; 8. Model iteration module; 9. Model evaluation module; 61. Data receiving module; 62. Data screening module; 63. Data fusion module; 64. Mining and analysis module; 65. Mining and output module; 66. Equivalent analysis module; 67. Scheduling and analysis module; 71. Processing and receiving module; 72. Linear analysis module; 73. Coefficient adjustment module; 74. Data screening module; 75. Processing and output module; 81. Equivalent input module; 82. Scheduling adjustment module; 83. Scheduling output module; 84. Parameter iteration module; 85. Iteration output module; 91. Initial model module; 92. Iteration import module; 93. Repository module; 94. Call calculation module; 95. Parameter analysis module; 96. Calculation output module. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] See also Figure 1-6, an embodiment provided by the present invention: a DCS control system economic benefit evaluation model based on data mining, comprising a hierarchical docking module 1, a central processing module 2, a decentralized instruction module 3, a display output module 4, a cloud platform module 5, a data mining module 6, a data processing module 7, a model iteration module 8 and a model evaluation module 9, the cloud platform module 5 and the hierarchical docking module 1 both control the connection to the central processing module 2, the central processing module 2 respectively controls the connection to the decentralized instruction module 3, the display output module 4 and the data mining module 6, the data mining module 6 controls the connection to the data processing module 7, the data processing module 7 controls the connection to the model iteration module 8, the model iteration module 8 respectively controls the connection to the model evaluation module 9 and the central processing module 2, the model evaluation module 9 controls the connection to the central processing module 2, and the display output module 4 is used to connect to the display device of the distributed terminal to display the calculation results of the system model;

[0024] The data mining module 6 is composed of a data receiving module 61, a data screening module 62, a data fusion module 63, a mining analysis module 64, a mining output module 65, an equivalent analysis module 66 and a scheduling analysis module 67. The data receiving module 61 controls the connection to the data screening module 62, the data screening module 62 controls the connection to the data fusion module 63, the data fusion module 63 controls the connection to the mining analysis module 64, the mining analysis module 64 controls the connection to the scheduling analysis module 67 and the mining output module 65 respectively, the mining output module 65 controls the connection to the equivalent analysis module 66, the equivalent analysis module 66 is used to analyze the mined equivalent data, and then send the equivalent data to the data processing module 7;

[0025] The data processing module 7 is composed of a processing receiving module 71, a linear analysis module 72, a coefficient adjustment module 73, a data screening module 74 and a processing output module 75. The coefficient adjustment module 73 controls the connection to the linear analysis module 72 and the data screening module 74 respectively. The processing receiving module 71 controls the connection to the linear analysis module 72. The linear analysis module 72 controls the connection to the data screening module 74. The data screening module 74 controls the connection to the processing output module 75. The processing receiving module 71 is used to receive equivalent data and perform linear analysis of the data group through the linear analysis module 72. At the same time, the coefficient adjustment module 73 adjusts the linear determination parameters. After that, the data screening module 74 screens the equivalent data in combination with the linear determination parameters, and sends the screened data to the model iteration module 8 through the processing output module 75.

[0026] The model iteration module 8 is composed of an equivalent input module 81, a scheduling adjustment module 82, a scheduling output module 83, a parameter iteration module 84 and an iteration output module 85. The equivalent input module 81 controls the connection scheduling adjustment module 82, the scheduling adjustment module 82 controls the connection scheduling output module 83, the scheduling adjustment module 82 controls the connection parameter iteration module 84, the parameter iteration module 84 controls the connection iteration output module 85, and the scheduling output module 83 and the iteration output module 85 are used to send the changed scheduling parameters and the changed model parameters;

[0027] The model evaluation module 9 is composed of an initial model module 91, an iterative import module 92, a repository module 93, a calling calculation module 94, a parameter analysis module 95 and a calculation output module 96. The iterative import module 92 controls the connection between the initial model module 91 and the calling calculation module 94 respectively, the calling calculation module 94 controls the connection between the calculation output module 96, the initial model module 91 controls the connection between the repository module 93, the repository module 93 controls the connection between the calling calculation module 94, the calling calculation module 94 controls the connection between the parameter analysis module 95, the parameter analysis module 95 controls the connection between the calculation output module 96, and the calculation output module 96 is used to feed back the results of the model calculation to the central processing module 2.

[0028] Working principle: When in use, firstly, the initial calculation model is imported into the initial model module 91 in the model evaluation module 9 through the central processing module 2, and then the distributed terminal is connected to the central processing module 2 through the hierarchical docking module 1 to complete the construction of the system model; during calculation, the initial calculation model in the initial model module 91 is called by the calling calculation module 94, and the calculation result is fed back to the central processing module 2, and displayed in the distributed terminal by the display output module 4; during the operation of the system model, the hierarchical docking module 1 and the cloud platform module 5 upload the terminal data and cloud big data to the central processing module 2, and then send them to the data mining module 6, and receive them through the data receiving module 61, and then the terminal data and cloud big data are screened and fused through the data screening module 62 and the data fusion module 63, and then the mining analysis module 64 selects the mining method and mining base in combination with the scheduling analysis instruction of the scheduling analysis module 67, and then the mining output module 65 extracts the corresponding data from the screened and fused data in combination with the mining method and mining base. The equivalent data is mined and analyzed by the equivalent analysis module 66, and then the equivalent data is sent to the data processing module 7. Then the processing receiving module 71 receives the equivalent data, and the linear analysis module 72 performs linear analysis on the data group, and the coefficient adjustment module 73 adjusts the linear judgment parameter. Then the data screening module 74 filters the equivalent data in combination with the linear judgment parameter, and sends the filtered data to the model iteration module 8 through the processing output module 75. Then the filtered data is received by the equivalent input module 81, and the scheduling adjustment module 82 and the parameter iteration module 84 perform scheduling parameter changes and model parameter iterations. Then the changed scheduling parameters and the changed model parameters are sent through the scheduling output module 83 and the iteration output module 85 respectively, and then received by the iteration import module 92. At the same time, the calculation module 94 is called to call the initial model in the repository module 93, and the constant coefficients of the model are adjusted and changed in combination with the scheduling parameters and the changed model parameters, and stored in the repository module 93 for preservation.

[0029] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A DCS control system economic benefit evaluation model based on data mining, comprising a hierarchical docking module (1), a central processing module (2), a distributed instruction module (3), a display output module (4), a cloud platform module (5), a data mining module (6), a data processing module (7), a model update module (8) and a model evaluation module (9), characterized in that: The cloud platform module (5) and the hierarchical docking module (1) both control the connection to the central processing module (2); the central processing module (2) controls the connection to the distributed instruction module (3), the display output module (4) and the data mining module (6); the data mining module (6) controls the connection to the data processing module (7); the data processing module (7) controls the connection to the model iteration module (8); the model iteration module (8) controls the connection to the model evaluation module (9) and the central processing module (2); the model evaluation module (9) controls the connection to the central processing module (2).

2. The DCS control system economic benefit evaluation model based on data mining according to claim 1 is characterized in that: The data mining module (6) is composed of a data receiving module (61), a data screening module (62), a data fusion module (63), a mining analysis module (64), a mining output module (65), an equivalent analysis module (66) and a scheduling analysis module (67), and the data receiving module (61) controls the connection with the data screening module (62).

3. The economic benefit evaluation model of the DCS control system based on data mining according to claim 2 is characterized in that: The data screening module (62) controls the connection to the data fusion module (63), and the data fusion module (63) controls the connection to the mining and analysis module (64).

4. The economic benefit evaluation model of the DCS control system based on data mining according to claim 3 is characterized in that: The mining analysis module (64) controls the connection scheduling analysis module (67) and the mining output module (65) respectively, and the mining output module (65) controls the connection equivalent analysis module (66).

5. The DCS control system economic benefit evaluation model based on data mining according to claim 1 is characterized in that: The data processing module (7) is composed of a processing receiving module (71), a linear analysis module (72), a coefficient adjustment module (73), a data screening module (74) and a processing output module (75), and the coefficient adjustment module (73) controls the connection between the linear analysis module (72) and the data screening module (74) respectively.

6. The economic benefit evaluation model of the DCS control system based on data mining according to claim 5 is characterized in that: The processing receiving module (71) controls the connection to the linear analysis module (72), the linear analysis module (72) controls the connection to the data screening module (74), and the data screening module (74) controls the connection to the processing output module (75).

7. The economic benefit evaluation model of a DCS control system based on data mining according to claim 1 is characterized in that: The model iteration module (8) is composed of an equivalent input module (81), a scheduling adjustment module (82), a scheduling output module (83), a parameter iteration module (84) and an iteration output module (85). The equivalent input module (81) controls the connection to the scheduling adjustment module (82), and the scheduling adjustment module (82) controls the connection to the scheduling output module (83).

8. The economic benefit evaluation model of the DCS control system based on data mining according to claim 7 is characterized in that: The scheduling adjustment module (82) controls the connection parameter change module (84), and the parameter change module (84) controls the connection change output module (85).

9. The DCS control system economic benefit evaluation model based on data mining according to claim 1 is characterized by: The model evaluation module (9) is composed of an initial model module (91), an iterative import module (92), a repository module (93), a calling calculation module (94), a parameter analysis module (95) and a calculation output module (96). The iterative import module (92) controls the connection between the initial model module (91) and the calling calculation module (94), and the calling calculation module (94) controls the connection between the calculation output module (96).

10. The DCS control system economic benefit evaluation model based on data mining according to claim 9 is characterized in that: The initial model module (91) controls the connection to the repository module (93), the repository module (93) controls the connection to the call calculation module (94), the call calculation module (94) controls the connection to the parameter analysis module (95), and the parameter analysis module (95) controls the connection to the calculation output module (96).

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