Multi-valve networking cooperative control method and system based on information source interconnection

Abstract

The invention relates to the field of valve cooperative control, in particular to a multi-valve networking cooperative control method and system based on information source interconnection, and the system comprises an internal source information collection module, an external source information collection module, an operation information collection module, a distribution correction module and a cooperative control module. When cooperative control is carried out on multiple valves, the current state of a valve channel and equipment operation and tail gas emission parameters are collected and serve as input parameters and output parameters respectively, the difference between the advantages and disadvantages of the output parameters is compared, and the difference between the advantages and disadvantages of the input parameters is obtained; according to the method, the priority arrangement of different output parameters is obtained, the cooperative control of multiple valves is effectively judged, a database is constructed, data support is provided for the multi-valve control in actual production based on the database, the control difficulty of a multi-valve system is reduced, and the operation effect of equipment is improved.

Description

Technical Field

[0001] The present invention relates to the field of valve collaborative control, and in particular to a multi-valve networking collaborative control method and system based on information source interconnection. Background Art

[0002] Pollutants emitted from coal combustion are a major cause of air pollution and a major component of carbon emissions. Increased carbon emissions can lead to the greenhouse effect, while large amounts of NOx emissions can pose serious risks to human health. Relevant data show that for every 1% increase in boiler efficiency, the unit's efficiency can be increased by 0.3% and coal consumption for power generation can be reduced by approximately 0.7%. However, frequent and large-scale changes in unit load over a short period of time can cause reduced boiler combustion efficiency and large fluctuations in nitrogen oxide (NOx) concentrations in flue gas, resulting in increased carbon emissions from the unit, increased difficulty in controlling NOx emissions, and increased NOx emissions.

[0003] Balancing the intake air ratio is a crucial factor in boiler combustion efficiency. Traditionally, the combustion efficiency within the boiler has been determined by monitoring changes in the oxygen volume fraction in the flue gas. However, this method suffers from relatively large fluctuations in oxygen monitoring data, which prevents it from providing adequate feedback and results in poor boiler control quality. At the same time, in order to further improve combustion efficiency and combustion completeness, traditional boilers also use multiple return air pipes, preheating pipes and filtering and absorption pipes to form a complex multi-valve system. In a multi-valve system, changes in any valve will affect the combustion effect, resulting in an exponential increase in the difficulty of controlling multiple valves. If the data from the boiler combustion side can be effectively used to predict the changes of some important parameters in advance, the control accuracy can be improved, thereby reducing the control difficulty and improving the combustion effect. Summary of the Invention

[0004] When the present invention performs collaborative control on multiple valves, the current status of the valve channel, equipment operation and exhaust emission parameters are collected and used as input and output parameters respectively. By comparing the quality gap between the output parameters, the quality gap between the input parameters is obtained, thereby obtaining the priority ranking between different output parameters, and then making effective judgments on the collaborative control of multiple valves, and constructing a database. Based on the database, data support is provided for the multi-valve control in actual production, reducing the control difficulty of the multi-valve system, improving the equipment operation effect, so as to solve the problems of high control difficulty and complex control of multiple valves and affecting the combustion effect, and propose a multi-valve networking collaborative control method and system based on information source interconnection.

[0005] The object of the present invention can be achieved by the following technical solution: a multi-valve network collaborative control method based on information source interconnection, comprising the following steps: Step 1: Collect exhaust emission information through sensors to obtain exhaust emission parameters; Step 2: Collect airflow information in multiple valve channels through sensors to obtain airflow distribution parameters; Step 3: Collect the setting information and actual operation information of the equipment during operation to obtain the equipment setting parameters and equipment operation parameters; Step 4: Integrate and analyze the exhaust emission parameters, airflow distribution parameters, equipment setting parameters, and equipment operating parameters to obtain the airflow distribution parameters; Step 5: Select according to the priority of the airflow distribution parameters, obtain the multi-valve coordinated control parameters, and control multiple valves.

[0006] The present invention also proposes a multi-valve network collaborative control system based on information source interconnection, including an internal information acquisition module, an external information acquisition module, an operation information acquisition module, a distribution correction module and a collaborative control module. The internal information acquisition module is used to collect exhaust emission information, and dynamically process and standardize the collected exhaust emission information to generate exhaust emission parameters. The external information acquisition module is used to obtain airflow information in multiple valve channels, assign unique labels to different valve channels, and record the airflow information of each valve channel separately to obtain airflow distribution parameters; The operation information collection module collects the setting information and actual operation information of the equipment during operation, and the collected information is the operating power. The operation information collection module calculates the deviation between the setting information and the actual operation information to obtain the operation deviation, and records the setting information as the equipment setting parameters, and records the actual operation information and the operation deviation as the equipment operation parameters; The distribution correction module can obtain exhaust emission parameters, airflow distribution parameters, equipment setting parameters and equipment operating parameters, and perform integrated analysis to obtain interference analysis results of exhaust emission parameters and airflow distribution parameters, and interference analysis results of equipment operating parameters and airflow distribution parameters; The collaborative control module compares and analyzes multiple interference analysis results, generates multi-valve collaborative control parameters, and controls multiple valves using the multi-valve collaborative control parameters.

[0007] As a preferred embodiment of the present invention, after collecting exhaust emission information, the endogenous information collection module compares the instantaneous parameters collected each time with the set emission standards. If the instantaneous parameters of exhaust emissions meet the emission standards, the emission collection time is set to T. If the instantaneous parameters of exhaust emissions do not meet the emission standards, the emission collection time is changed to t, where T>t; The endogenous information acquisition module records the collected exhaust emission information in the form of a curve, with the horizontal axis of the curve using time and the vertical axis using the exhaust control substance content, and the exhaust emission information curve is used as the exhaust emission parameter.

[0008] As a preferred embodiment of the present invention, the external information acquisition module assigns a number i to the valve channel, i=1, 2, 3...n, the airflow information collected by the external information acquisition module is the gas flow rate, and the gas flow rate of different valve channels is recorded as Vi; After collecting the gas flow rate Vi of each valve channel, the exogenous information acquisition module records it and simultaneously obtains the opening Ki and valve diameter Ri of each valve channel. The exogenous information acquisition module records the gas flow rate Vi, valve opening Ki and valve diameter Ri as airflow distribution parameters.

[0009] As a preferred embodiment of the present invention, the operation information acquisition module obtains the setting information of the device by manual input and obtains the real-time operation information of the device through the sensor. After each acquisition of the real-time operation information, the operation information acquisition module performs a difference calculation with the setting information to obtain the operation information difference at the corresponding moment, and performs a ratio calculation on the operation information difference and the set operation information to obtain the operation deviation; The operation information acquisition module dynamically analyzes the real-time operation information of the equipment to obtain the power difference and acquisition time interval between different acquisition times, and calculates the power change speed by the ratio of the power difference and the acquisition time interval. The operation information acquisition module compares the power differences, selects the largest power difference and power change speed, and obtains the operation fluctuation amplitude and operation fluctuation speed.

[0010] As a preferred embodiment of the present invention, when the distribution correction module performs interference analysis on the exhaust emission parameters and the airflow distribution parameters, the airflow distribution parameters and the exhaust emission parameters at the same time are selected to form a data group, and the exhaust emission parameters are then arranged in ascending order according to the exhaust control substance content to obtain a first data group sequence, and the airflow distribution parameters in the data group sequence are then extracted to obtain a first interference analysis result; When the distribution correction module performs interference analysis on the equipment operating parameters and the airflow distribution parameters, the airflow distribution parameters and the equipment operating parameters at the same time are combined into a data group, and then the data groups are arranged in order from high to low according to the operating stability to obtain a second data group sequence, and then the airflow distribution parameters in the data group sequence are extracted to obtain a second interference analysis result.

[0011] As a preferred embodiment of the present invention, the method for the distribution correction module to obtain operation stability is: The distribution correction module selects the operation deviation, operation fluctuation amplitude and operation fluctuation speed at the same moment in the device operation parameters, and respectively gives different weight coefficients, and performs weighted average on the operation deviation, operation fluctuation amplitude and operation fluctuation speed, and records the weighted average result as the operation stability.

[0012] As a preferred embodiment of the application, the cooperative control module obtains the first interference analysis result and the second interference analysis result, compares the airflow distribution parameters in the two sets of interference analysis results, obtains the ranking situation of the airflow distribution parameters at the same moment in different sequences, and values and sums the ranking situation to obtain the airflow distribution scores at different moments, and performs priority sorting on the airflow distribution parameters in the order from high to low of the airflow distribution scores, as the multi-valve cooperative control parameters.

[0013] As a preferred embodiment of the application, the method for value summing performed by the cooperative control module is: The cooperative control module records the sorting as x, and generates corresponding value y through the function The cooperative control module records the sorting as x, and generates corresponding value y through the function The cooperative control module sums the values y of the airflow distribution parameters at the same moment in the two sequences to obtain the value summing result.

[0014] Compared with the prior art, the application has the following beneficial effects: In the application, when the multi-valve is cooperatively controlled, the current state of the valve channel is collected as an input parameter, the device operation and tail gas emission parameters are collected as output parameters, the output parameters are compared through a big data model to obtain the advantages and disadvantages gap between the output parameters, the input parameters corresponding to the output parameters are further obtained to obtain the advantages and disadvantages gap between the input parameters, thereby obtaining the effect gap between different output parameters, and completing priority arrangement, and effectively judging the black box model of the cooperative control of the multi-valve, and constructing a black box model database, providing data support for the multi-valve control in actual production based on the database, reducing the control difficulty of the multi-valve system, and improving the device operation effect. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to facilitate understanding of those skilled in the art, the application will be further described below with reference to the accompanying drawings.

[0016] Figure 1 The system block diagram of the application is shown in the figure. Figure 2 The system flowchart of the application is shown in the figure. DETAILED DESCRIPTION

[0017] The following is a clear and complete description of the technical solutions of the present invention in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0018] Example 1: Please refer to Figure 1 - Figure 2 As shown, the multi-valve network collaborative control method based on information source interconnection includes the following steps: Step 1: Collect exhaust emission information through sensors, dynamically adjust exhaust emission collection time according to the collected exhaust emission conditions, and record the collected exhaust emission information in the form of a curve to obtain exhaust emission parameters; Step 2: Using sensors to collect gas flow rates, valve openings, and valve diameters in multiple valve channels to obtain airflow distribution parameters; Step 3: Collect the setting information and actual operation information of the equipment during operation, calculate the operation deviation, and obtain the equipment setting parameters and equipment operation parameters; Step 4: Integrate and analyze the exhaust emission parameters, airflow distribution parameters, equipment setting parameters, and equipment operating parameters to obtain a priority sequence of multiple groups of airflow distribution parameters, which are recorded as airflow distribution parameters; Step 5: Select according to the priority of the airflow distribution parameters, obtain the multi-valve coordinated control parameters, and control multiple valves.

[0019] Example 2: Please refer to Figure 1 - Figure 2 As shown, a multi-valve networking collaborative control system based on information source interconnection includes an internal information acquisition module, an external information acquisition module, an operation information acquisition module, a distribution correction module and a collaborative control module. The internal information acquisition module is used to collect exhaust emission information. After collecting the exhaust emission information, the internal information acquisition module compares the instantaneous parameters collected each time with the set emission standards. If the instantaneous parameters of the exhaust emission meet the emission standards, the emission collection time is set to T. If the instantaneous parameters of the exhaust emission do not meet the emission standards, the emission collection time is changed to t, where T>t; The internal information acquisition module records the collected exhaust emission information in the form of a curve, with the horizontal axis of the curve using time and the vertical axis using the exhaust control substance content, and the exhaust emission information curve is used as the exhaust emission parameter; The external information acquisition module is used to obtain airflow information in multiple valve channels. The external information acquisition module assigns a number i to the valve channel, where i=1, 2, 3...n. The airflow information collected by the external information acquisition module is the gas flow rate, and the gas flow rate of different valve channels is recorded as Vi. The airflow information of each valve channel is recorded separately. The airflow information includes the gas flow rate Vi, the valve opening Ki, and the valve diameter Ri; The external information acquisition module records the gas flow rate Vi, valve opening Ki and valve diameter Ri as airflow distribution parameters; The operation information collection module collects the setting information and actual operation information of the equipment during operation. The operation information collection module obtains the setting information of the equipment through manual input and obtains the real-time operation information of the equipment through sensors. The collected information is the operating power; The operation information collection module records the setting information as device setting parameters; The operation information acquisition module calculates the difference between the real-time operation information and the set information each time it collects it, and obtains the operation information difference at the corresponding moment. It then calculates the ratio of the operation information difference to the set operation information to obtain the operation deviation. The operation information acquisition module dynamically analyzes the real-time operation information of the equipment to obtain the power difference and acquisition time interval between different acquisition times, and calculates the power change speed by the ratio of the power difference and the acquisition time interval. The operation information acquisition module compares the power differences, selects the largest power difference and power change speed, obtains the operation fluctuation amplitude and operation fluctuation speed, and records the actual operation information, operation deviation, operation fluctuation amplitude and operation fluctuation speed as equipment operation parameters.

[0020] The distribution correction module can obtain exhaust emission parameters, airflow distribution parameters, equipment setting parameters and equipment operating parameters, and conduct integrated analysis to obtain interference analysis results of exhaust emission parameters and airflow distribution parameters, and interference analysis results of equipment operating parameters and airflow distribution parameters; When performing interference analysis on the exhaust emission parameters and the airflow distribution parameters, the distribution correction module selects the airflow distribution parameters and the exhaust emission parameters at the same time to form a data group, then arranges the exhaust emission parameters in ascending order of exhaust control substance content to obtain a first data group sequence, and then extracts the airflow distribution parameters from the data group sequence to obtain a first interference analysis result; When the distribution correction module performs interference analysis on the equipment operating parameters and the airflow distribution parameters, it groups the airflow distribution parameters and equipment operating parameters at the same time into a data group. The data groups are then arranged in descending order of operating stability to obtain a second data group sequence. The airflow distribution parameters in the data group sequence are then extracted to obtain a second interference analysis result. The distribution correction module obtains operating stability by: The distribution correction module selects the operation deviation, operation fluctuation amplitude and operation fluctuation speed at the same time in the device operation parameters, and respectively gives different weight coefficients, and performs weighted average on the operation deviation, operation fluctuation amplitude and operation fluctuation speed, and records the weighted average result as the operation stability.

[0021] The cooperative control module obtains the first interference analysis result and the second interference analysis result, compares the airflow distribution parameters in the two sets of interference analysis results, obtains the ranking situation of the airflow distribution parameters at the same time in different sequences, and values and sums the ranking situation to obtain the airflow distribution score at different times, and performs priority sorting on the airflow distribution parameters in the order from high to low of the airflow distribution score, as the multi-valve cooperative control parameters, and controls the multiple valves through the multi-valve cooperative control parameters.

[0022] The method for value summing of the cooperative control module is: The cooperative control module records the sorting as x, and generates the corresponding value y through the function The cooperative control module sums the values y of the airflow distribution parameters at the same time in the two sequences to obtain the value summing result.

[0023] The threshold or the preset value, the preset range and the like are set for result comparison and analysis, so as to determine good and bad, and the size of the value is set according to the large model analysis of sample data and the combination of artificial experience, and is recorded and stored, and can be appropriately adjusted through seasonal or rational influence conditions; And the weight proportion coefficient, the influence factor and the like are set according to the influence size of each parameter on the result, to allocate specific numerical values to finally reflect the influence condition on the result, and are recorded and stored through the combination of the large model analysis of sample data and artificial experience, and can be appropriately adjusted through seasonal or rational influence conditions.

[0024] The preferred embodiments of the above disclosed application are only used to help explain the application. The preferred embodiments do not describe all the details, and do not limit the application to the specific embodiments. Obviously, according to the content of the specification, many modifications and changes can be made. The specification selects and specifically describes these embodiments, in order to better explain the principles and practical applications of the application, so that those skilled in the art can well understand and utilize the application. The application is limited by the claims and the entire scope and equivalents thereof.​

Claims

1. A multi-valve network collaborative control method based on information source interconnection, characterized in that: The following steps are involved: Step 1: Collect exhaust emission information through sensors to obtain exhaust emission parameters; Step 2: Collect airflow information in multiple valve channels through sensors to obtain airflow distribution parameters; Step 3: Collect the setting information and actual operation information of the equipment during operation to obtain the equipment setting parameters and equipment operation parameters; Step 4: Integrate and analyze the exhaust emission parameters, airflow distribution parameters, equipment setting parameters, and equipment operating parameters to obtain the airflow distribution parameters; Step 5: Select according to the priority of the airflow distribution parameters, obtain the multi-valve coordinated control parameters, and control multiple valves.

2. A multi-valve network collaborative control system based on information source interconnection adopts the multi-valve network collaborative control method based on information source interconnection according to claim 1, characterized in that: It includes an endogenous information acquisition module, an exogenous information acquisition module, an operation information acquisition module, an allocation correction module and a collaborative control module. The endogenous information acquisition module is used to collect exhaust emission information, and dynamically process and standardize the collected exhaust emission information to generate exhaust emission parameters; The external information acquisition module is used to obtain airflow information in multiple valve channels, assign unique labels to different valve channels, and record the airflow information of each valve channel separately to obtain airflow distribution parameters; The operation information collection module collects the setting information and actual operation information of the equipment during operation, and the collected information is the operating power. The operation information collection module calculates the deviation between the setting information and the actual operation information to obtain the operation deviation, and records the setting information as the equipment setting parameters, and records the actual operation information and the operation deviation as the equipment operation parameters; The distribution correction module can obtain exhaust emission parameters, airflow distribution parameters, equipment setting parameters and equipment operating parameters, and perform integrated analysis to obtain interference analysis results of exhaust emission parameters and airflow distribution parameters, and interference analysis results of equipment operating parameters and airflow distribution parameters; The collaborative control module compares and analyzes multiple interference analysis results, generates multi-valve collaborative control parameters, and controls multiple valves using the multi-valve collaborative control parameters.

3. The multi-valve network collaborative control system based on information source interconnection according to claim 2 is characterized in that: After collecting exhaust emission information, the endogenous information collection module compares the instantaneous parameters collected each time with the set emission standards. If the instantaneous parameters of exhaust emissions meet the emission standards, the emission collection time is set to T. If the instantaneous parameters of exhaust emissions do not meet the emission standards, the emission collection time is changed to t, where T>t; The endogenous information acquisition module records the collected exhaust emission information in the form of a curve, with the horizontal axis of the curve using time and the vertical axis using the exhaust control substance content, and the exhaust emission information curve is used as the exhaust emission parameter.

4. The multi-valve network collaborative control system based on information source interconnection according to claim 2 is characterized in that: The external information acquisition module assigns a number i to the valve channel, i=1, 2, 3...n. The airflow information collected by the external information acquisition module is the gas flow rate, and the gas flow rate of different valve channels is recorded as Vi; After collecting the gas flow rate Vi of each valve channel, the exogenous information acquisition module records it and simultaneously obtains the opening Ki and valve diameter Ri of each valve channel. The exogenous information acquisition module records the gas flow rate Vi, valve opening Ki and valve diameter Ri as airflow distribution parameters.

5. The multi-valve network collaborative control system based on information source interconnection according to claim 2 is characterized in that: The operation information acquisition module obtains the setting information of the device by manual input and obtains the real-time operation information of the device through the sensor. After each acquisition of the real-time operation information, the operation information acquisition module performs a difference calculation with the setting information to obtain the operation information difference at the corresponding moment, and calculates the ratio of the operation information difference to the set operation information to obtain the operation deviation; The operation information acquisition module dynamically analyzes the real-time operation information of the equipment to obtain the power difference and acquisition time interval between different acquisition times, and calculates the power change speed by the ratio of the power difference and the acquisition time interval. The operation information acquisition module compares the power differences, selects the largest power difference and power change speed, and obtains the operation fluctuation amplitude and operation fluctuation speed.

6. The multi-valve network collaborative control system based on information source interconnection according to claim 2 is characterized in that: When performing interference analysis on the exhaust emission parameters and the airflow distribution parameters, the distribution correction module selects the airflow distribution parameters and the exhaust emission parameters at the same time to form a data group, then arranges the exhaust emission parameters in ascending order according to the exhaust control substance content to obtain a first data group sequence, and then extracts the airflow distribution parameters from the data group sequence to obtain a first interference analysis result; When the distribution correction module performs interference analysis on the equipment operating parameters and the airflow distribution parameters, the airflow distribution parameters and the equipment operating parameters at the same time are combined into a data group, and then the data groups are arranged in order from high to low according to the operating stability to obtain a second data group sequence, and then the airflow distribution parameters in the data group sequence are extracted to obtain a second interference analysis result.

7. The multi-valve network collaborative control system based on information source interconnection according to claim 6 is characterized in that: The method for the distribution correction module to obtain operation stability is: The distribution correction module selects the operation deviation, operation fluctuation amplitude and operation fluctuation speed of the equipment operation parameters at the same time, assigns different weight coefficients to them respectively, and performs weighted average on the operation deviation, operation fluctuation amplitude and operation fluctuation speed, and records the weighted average result as operation stability.

8. The multi-valve network collaborative control system based on information source interconnection according to claim 2 is characterized in that: The collaborative control module obtains the first interference analysis result and the second interference analysis result, and compares the airflow distribution parameters in the two sets of interference analysis results, obtains the ranking of the airflow distribution parameters at the same time in different sequences, and assigns and sums the rankings to obtain the airflow distribution scores at different times, and prioritizes the airflow distribution parameters in descending order according to the airflow distribution scores as the multi-valve collaborative control parameters.

9. The multi-valve network collaborative control system based on information source interconnection according to claim 8 is characterized in that: The method for the collaborative control module to perform assignment and summation is: The collaborative control module records the order as x, through the function Generate the corresponding assignment y; The collaborative control module sums the assigned values ​​y of the airflow distribution parameters in the two sets of sequences at the same moment to obtain an assigned sum result.

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