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

Abstract

The present application 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, comprising an internal source information acquisition module, an external source information acquisition module, an operation information acquisition module, a distribution correction module and a cooperative control module; when the present application cooperatively controls multiple valves, the current state of the valve channel, equipment operation and tail gas emission parameters are collected and used as input and output parameters respectively, the advantages and disadvantages of the output parameters are compared, the advantages and disadvantages of the input parameters are obtained, 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 control of multiple valves in actual production based on the database, the control difficulty of the multiple valve system is reduced, and the equipment operation effect is improved.

Description

Technical Field

[0001] This invention relates to the field of valve collaborative control, specifically to a multi-valve network collaborative control method and system based on information source interconnection. Background Technology

[0002] Pollutants emitted from coal combustion are a major cause of air pollution and a major component of carbon emissions. Increased carbon emissions contribute to the greenhouse effect, while large-scale NOx emissions pose serious health risks to humans. Data shows that for every 1% increase in boiler efficiency, unit efficiency can increase by 0.3% and coal consumption for power generation can decrease by about 0.7%. However, frequent and large-scale changes in unit load over a short period of time can lead to a decrease in boiler combustion efficiency and significant fluctuations in the concentration of nitrogen oxides (NOx) in flue gas. This results in increased carbon emissions from the unit, increased difficulty in controlling NOx emissions, and further increases in NOx emissions.

[0003] In boiler combustion efficiency, the balance of intake air ratio is a very important factor. In the traditional method, the change of oxygen volume fraction in flue gas is monitored to judge the combustion efficiency in the boiler. However, this method has the problem that the oxygen monitoring data fluctuates relatively greatly and cannot provide good feedback data, resulting in low boiler control quality.

[0004] Meanwhile, to further improve combustion efficiency and completeness, traditional boilers also use multiple return gas pipes, preheating and utilization pipes, and filter absorption pipes to form a complex multi-valve system. In this multi-valve system, any change in any valve will affect the combustion effect, which leads to an exponential increase in the difficulty of controlling multiple valves. If data from the boiler combustion side can be effectively used to predict changes in 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

[0005] This invention, when performing coordinated control of multiple valves, collects the current state of the valve channels, equipment operation, and exhaust gas emission parameters, using these as input and output parameters respectively. By comparing the differences in quality between output parameters, the differences in quality between input parameters are obtained, thus determining the priority ranking of different output parameters. This allows for effective judgment of the coordinated control of multiple valves, and a database is constructed to provide data support for multi-valve control in actual production. This reduces the control difficulty of multi-valve systems, improves equipment operation efficiency, and solves the problems of high control difficulty and complexity of multi-valve systems, which affect combustion efficiency. Therefore, this invention proposes a multi-valve networked coordinated control method and system based on information source interconnection.

[0006] The objective of this invention can be achieved through the following technical solution: a multi-valve network collaborative control method based on information source interconnection, comprising the following steps:

[0007] Step 1: Collect exhaust emission information using sensors to obtain exhaust emission parameters;

[0008] Step 2: Collect airflow information from multiple valve channels using sensors to obtain airflow distribution parameters;

[0009] Step 3: Collect the setting information and actual operating information of the equipment during operation to obtain the equipment setting parameters and equipment operating parameters;

[0010] Step 4: Integrate and analyze the exhaust emission parameters, airflow distribution parameters, equipment setting parameters, and equipment operating parameters to obtain the first interference analysis results and the second interference analysis results;

[0011] Step 5: Compare the airflow distribution parameters in the first and second interference analysis results to obtain the ranking of the airflow distribution parameters in different sequences at the same time. Assign values ​​to the ranking and sum them to obtain the airflow distribution score at different times. Prioritize the airflow distribution parameters by ranking the airflow distribution scores from high to low, and use them as multi-valve collaborative control parameters to control multiple valves.

[0012] This invention also proposes a multi-valve network collaborative control system based on information source interconnection, including an internal source information acquisition module, an external source information acquisition module, an operation information acquisition module, an allocation and correction module, and a collaborative control module. The internal source information acquisition module is used to collect exhaust gas emission information and dynamically process and standardize the collected exhaust gas emission information to generate exhaust gas emission parameters.

[0013] The external information acquisition module is used to acquire airflow information in multiple valve channels, assign a unique number to each valve channel, record the airflow information of each valve channel separately, and obtain airflow distribution parameters.

[0014] The operation information acquisition module collects the setting information and actual operation information of the equipment during operation. The collected information is the operating power. The operation information acquisition module calculates the deviation between the setting information and the actual operation information to obtain the operation deviation. The setting information is recorded as the equipment setting parameters, and the actual operation information and operation deviation are recorded as the equipment operation parameters.

[0015] The allocation correction module can acquire exhaust emission parameters, airflow allocation parameters, equipment setting parameters, and equipment operating parameters, and perform integrated analysis to obtain interference analysis results of exhaust emission parameters and airflow allocation parameters, as well as interference analysis results of equipment operating parameters and airflow allocation parameters.

[0016] The collaborative control module compares and analyzes multiple interference analysis results, generates multi-valve collaborative control parameters, and controls multiple valves through these parameters.

[0017] In a preferred embodiment of the present invention, after the endogenous information acquisition module collects exhaust gas emission information, it compares the instantaneous parameters collected each time with the set emission standards. If the instantaneous parameters of exhaust gas emission meet the emission standards, the emission collection duration is set to T. If the instantaneous parameters of exhaust gas emission do not meet the emission standards, the emission collection duration is changed to t, where T > t.

[0018] The internal source information acquisition module records the acquired exhaust gas emission information in the form of a curve. The horizontal axis of the curve represents time, and the vertical axis represents the content of exhaust gas control substances. The exhaust gas emission information curve is used as the exhaust gas emission parameter.

[0019] In a preferred embodiment of the present invention, the external information acquisition module assigns the valve channel number i, i=1, 2, 3…n, and the airflow information acquired by the external information acquisition module is the gas flow rate, and the gas flow rate of different valve channels is recorded as Vi;

[0020] After acquiring the gas flow velocity Vi of each valve channel, the external source information acquisition module records it and simultaneously obtains the valve opening Ki and valve diameter Ri of each valve channel. The external source information acquisition module records the gas flow velocity Vi, valve opening Ki, and valve diameter Ri as airflow distribution parameters.

[0021] In a preferred embodiment of the present invention, the operation information acquisition module obtains the device's setting information by manual input and obtains the device's real-time operation information by sensors. After each acquisition of real-time operation information, the operation information acquisition module calculates the difference between the real-time operation information and the setting information to obtain the operation information difference at the corresponding time. The operation information difference is then compared with the set operation information to obtain the operation deviation.

[0022] 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. It calculates the power change rate by the ratio of the power difference and the acquisition time interval. The operation information acquisition module compares the power differences and selects the largest power difference and power change rate to obtain the operation fluctuation amplitude and operation fluctuation rate.

[0023] In a preferred embodiment of the present invention, when the allocation correction module performs interference analysis on the exhaust emission parameters and airflow allocation parameters, it selects the airflow allocation parameters and exhaust emission parameters at the same time to form a data group, and then arranges the exhaust emission parameters in order of exhaust gas control substance content from low to high to obtain the first data group sequence. Then, it extracts the airflow allocation parameters from the data group sequence to obtain the first interference analysis result.

[0024] When the allocation correction module performs interference analysis on the equipment operating parameters and airflow allocation parameters, it groups the airflow allocation parameters and equipment operating parameters at the same time into a data group, and then arranges the data group in order of operating stability from high to low to obtain a second data group sequence. Finally, it extracts the airflow allocation parameters from the data group sequence to obtain the second interference analysis result.

[0025] In a preferred embodiment of the present invention, the method for the allocation correction module to obtain operational stability is as follows:

[0026] The allocation and correction module selects the operating deviation, operating fluctuation amplitude, and operating fluctuation speed at the same moment from the equipment operating parameters, assigns different weight coefficients to each, and performs a weighted average on the operating deviation, operating fluctuation amplitude, and operating fluctuation speed, recording the weighted average result as the operating stability.

[0027] In a preferred embodiment of the present invention, the collaborative control module acquires 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 of the airflow distribution parameters in different sequences at the same time, assigns values ​​to the ranking and sums them to obtain the airflow distribution score at different times, and sorts the airflow distribution parameters by priority from high to low according to the airflow distribution score, which is used as the multi-valve collaborative control parameter.

[0028] In a preferred embodiment of the present invention, the method for the collaborative control module to perform the assignment and summation is as follows:

[0029] The collaborative control module records the sorting as x, and uses a function... Generate the corresponding assignment y;

[0030] The collaborative control module sums the values ​​of the airflow distribution parameters in the two sets of sequences at the same time to obtain the summation result.

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] In this invention, when coordinating the control of multiple valves, the current state of the valve channels is collected as input parameters, and equipment operation and exhaust emission parameters are collected as output parameters. A big data model is used to compare the output parameters to identify the differences in their performance. Based on the corresponding input parameters, the differences in the performance of the input parameters are then identified, leading to the determination of the performance differences between different output parameters. Priority ranking is then implemented, enabling effective black-box model judgments for the coordinated control of multiple valves. A black-box model database is constructed, providing data support for multi-valve control in actual production, reducing the control difficulty of multi-valve systems, and improving equipment operation efficiency. Attached Figure Description

[0033] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0034] Figure 1 This is a system block diagram of the present invention;

[0035] Figure 2 This is a system flowchart of the present invention. Detailed Implementation

[0036] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0037] 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:

[0038] Step 1: Collect exhaust emission information through sensors, dynamically adjust the exhaust emission collection time according to the collected exhaust emission information, and record the collected exhaust emission information in the form of curves to obtain exhaust emission parameters.

[0039] Step 2: Collect gas flow rate, valve opening, and valve diameter in multiple valve channels using sensors to obtain airflow distribution parameters;

[0040] Step 3: Collect the setting information and actual operating information of the equipment during operation, and calculate the operating deviation to obtain the equipment setting parameters and equipment operating parameters;

[0041] 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 sets of airflow distribution parameters, which are recorded as the first interference analysis result and the second interference analysis result;

[0042] Step 5: Compare the airflow distribution parameters in the first and second interference analysis results to obtain the ranking of the airflow distribution parameters in different sequences at the same time. Assign values ​​to the ranking and sum them to obtain the airflow distribution score at different times. Prioritize the airflow distribution parameters by ranking the airflow distribution scores from high to low, and use them as multi-valve collaborative control parameters to control multiple valves.

[0043] Example 2: Please refer to Figure 1 - Figure 2 As shown, the multi-valve network collaborative control system based on information source interconnection includes an internal source information acquisition module, an external source information acquisition module, an operation information acquisition module, an allocation and correction module, and a collaborative control module. The internal source information acquisition module is used to collect exhaust gas emission information. After collecting the exhaust gas emission information, the internal source information acquisition module compares the instantaneous parameters collected each time with the set emission standards. If the instantaneous parameters of the exhaust gas emission meet the emission standards, the emission collection duration is set to T. If the instantaneous parameters of the exhaust gas emission do not meet the emission standards, the emission collection duration is changed to t, where T > t.

[0044] The internal source information acquisition module records the collected exhaust gas emission information in the form of a curve. The horizontal axis of the curve represents time, and the vertical axis represents the content of exhaust gas control substances. The exhaust gas emission information curve is used as the exhaust gas emission parameter.

[0045] The external information acquisition module is used to acquire airflow information in multiple valve channels. The external information acquisition module assigns the valve channels number i, i=1, 2, 3…n. The airflow information acquired by the external information acquisition module is the gas velocity, and the gas velocity of different valve channels is recorded as Vi. The airflow information of each valve channel is recorded separately. The airflow information includes gas velocity Vi, valve opening Ki, and valve diameter Ri.

[0046] The external information acquisition module records the gas velocity Vi, valve opening Ki, and valve diameter Ri as airflow distribution parameters;

[0047] The operation information acquisition module collects the setting information and actual operation information of the equipment during operation. The operation information acquisition 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.

[0048] The operation information acquisition module records the setting information as the device setting parameters;

[0049] After collecting real-time running information each time, the running information acquisition module calculates the difference between the collected information and the set information to obtain the running information difference at the corresponding time. Then, it calculates the ratio between the running information difference and the set running information to obtain the running deviation.

[0050] 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. It calculates the power change rate by the ratio of the power difference and the acquisition time interval. The operation information acquisition module compares the power differences and selects the largest power difference and power change rate to obtain the operation fluctuation amplitude and operation fluctuation speed. The actual operation information, operation deviation, operation fluctuation amplitude and operation fluctuation speed are recorded as equipment operation parameters.

[0051] The distribution and correction module can acquire exhaust emission parameters, airflow distribution parameters, equipment setting parameters, and equipment operating parameters, and perform integrated analysis to obtain interference analysis results for exhaust emission parameters and airflow distribution parameters, as well as interference analysis results for equipment operating parameters and airflow distribution parameters.

[0052] When the allocation correction module performs interference analysis on exhaust emission parameters and airflow distribution parameters, it selects airflow distribution parameters and exhaust emission parameters at the same time to form a data group. Then, it arranges the exhaust emission parameters in order of exhaust gas control substance content from low to high to obtain the first data group sequence. Finally, it extracts the airflow distribution parameters from the data group sequence to obtain the first interference analysis result.

[0053] When the allocation correction module performs interference analysis on equipment operating parameters and airflow distribution parameters, it groups the airflow distribution parameters and equipment operating parameters at the same time into a data set. Then, it arranges the data sets in descending order of operational stability to obtain a second data set sequence. Finally, it extracts the airflow distribution parameters from the data set sequence to obtain the second interference analysis result. The method by which the allocation correction module obtains operational stability is as follows:

[0054] The allocation and correction module selects the operating deviation, operating fluctuation amplitude, and operating fluctuation velocity at the same moment from the equipment operating parameters, assigns different weight coefficients to each, and performs a weighted average on the operating deviation, operating fluctuation amplitude, and operating fluctuation velocity, recording the weighted average result as the operating stability.

[0055] The collaborative control module acquires the first and second interference analysis results, compares the airflow distribution parameters in the two sets of interference analysis results, obtains the ranking of the airflow distribution parameters in different sequences at the same time, assigns values ​​to the ranking and sums them to obtain the airflow distribution score at different times, prioritizes the airflow distribution parameters according to the airflow distribution score from high to low, uses them as multi-valve collaborative control parameters, and controls multiple valves through multi-valve collaborative control parameters.

[0056] The method for assigning and summing values ​​in the collaborative control module is as follows:

[0057] The collaborative control module records the sorting as x, and uses a function... Generate the corresponding assignment y;

[0058] The collaborative control module sums the values ​​of the airflow distribution parameters in the two sets of sequences at the same time to obtain the summation result.

[0059] Thresholds, preset values, preset ranges, etc. are set for result comparison and analysis to determine good or bad. The size of these values ​​is determined by a combination of large-scale model analysis of sample data and human experience. They can also be adjusted appropriately based on seasonal or common-sense influences.

[0060] Furthermore, the settings for weighting ratios, influence factors, etc., are based on the magnitude of each parameter's influence on the results. The specific values ​​are allocated to ultimately reflect the impact on the results. The settings for input and storage are also determined by a combination of large-scale model analysis of sample data and human experience. Appropriate adjustments can also be made based on seasonal or rational influence conditions.

[0061] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A multi-valve networking collaborative control method based on information source interconnection, characterized in that, The method comprises the following steps: Step 1: collecting tail gas emission information through a sensor to obtain tail gas emission parameters; Step 2: collecting airflow information in multiple valve channels through a sensor to obtain airflow distribution parameters; Step 3: collecting setting information and actual running information of the equipment to obtain equipment setting parameters and equipment running parameters; Step 4: integrating and analyzing the tail gas emission parameters, the airflow distribution parameters, the equipment setting parameters and the equipment running parameters, performing interference analysis on the tail gas emission parameters and the airflow distribution parameters, selecting the airflow distribution parameters and the tail gas emission parameters at the same time to form a data group, arranging the tail gas emission parameters in the data group in order from low to high according to the content of the tail gas control substance to obtain a first data group sequence, and extracting the airflow distribution parameters in the data group sequence to obtain a first interference analysis result; performing interference analysis on the equipment running parameters and the airflow distribution parameters, selecting the airflow distribution parameters and the equipment running parameters at the same time to form a data group, arranging the data group in order from high to low according to the running stability to obtain a second data group sequence, and extracting the airflow distribution parameters in the data group sequence to obtain a second interference analysis result; Step 5: comparing the airflow distribution parameters in the first interference analysis result and the second interference analysis result, obtaining the ranking of the airflow distribution parameters at the same time in different sequences, and performing value summation on the ranking to obtain airflow distribution scores at different times, and performing priority sorting on the airflow distribution parameters in order from high to low as the multi-valve coordinated control parameters to control the multiple valves.

2. The multi-valve networking collaborative control system based on information source interconnection adopts the multi-valve networking collaborative control method based on information source interconnection as claimed in claim 1, characterized in that, The method comprises an endogenous information collection module, an exogenous information collection module, a running information collection module, a distribution correction module and a coordinated control module. The endogenous information collection module is used for collecting tail gas emission information, and performing dynamic processing and standard judgment on the collected tail gas emission information to generate tail gas emission parameters. The exogenous information collection module is used for obtaining airflow information in multiple valve channels, assigning a unique identifier to each valve channel, and recording the airflow information of each valve channel to obtain airflow distribution parameters. The running information collection module collects setting information and actual running information of the equipment, and the collected information is running power. The distribution correction module can obtain tail gas emission parameters, airflow distribution parameters, equipment setting parameters and equipment running parameters, and perform integration analysis to obtain interference analysis results of the tail gas emission parameters and the airflow distribution parameters, and interference analysis results of the equipment running parameters and the airflow distribution parameters. The coordinated control module compares and analyzes multiple interference analysis results to generate multi-valve coordinated control parameters, and controls multiple valves through the multi-valve coordinated control parameters.

3. The multi-valve networking collaborative control system based on information source interconnection according to claim 2, characterized in that, The endogenous information collection module compares the instantaneous parameters collected each time with the set emission standard after collecting the tail gas emission information, if the instantaneous parameters of the tail gas emission meet the emission standard, the length of the emission collection is set as T, if the instantaneous parameters of the tail gas emission do not meet the emission standard, the length of the emission collection is changed to t, wherein T>t; The endogenous information collection module records the collected tail gas emission information in the form of a curve, the horizontal axis of the curve is time, and the vertical axis is the content of the tail gas control substance, and the tail gas emission information curve is taken as the tail gas emission parameter.

4. The multi-valve networking collaborative control system based on information source interconnection according to claim 2, characterized in that, The exogenous information collection module assigns a number i to the valve channel, i=1, 2, 3…n, the gas flow information collected by the exogenous information collection module is the gas flow rate, and the gas flow rates of different valve channels are recorded as Vi; The exogenous information collection module records the gas flow rate Vi after collecting the gas flow rate Vi of each valve channel, and obtains the opening Ki and the valve pipe diameter Ri of each valve channel, and the exogenous information collection module records the gas flow rate Vi, the valve opening Ki and the valve pipe diameter Ri as the gas flow distribution parameter.

5. The multi-valve networking collaborative control system based on information source interconnection according to claim 2, characterized in that, The running information collection module obtains the set information of the device by manual input, and obtains the real-time running information of the device by a sensor, the running information collection module performs difference calculation on the set information after collecting the real-time running information each time to obtain the running information difference value at the corresponding time, and performs ratio calculation on the running information difference value and the set running information to obtain the running deviation; The running information collection module dynamically analyzes the real-time running information of the device to obtain the power difference value and the collection time interval between different collection times, and calculates the power variation speed through the ratio of the power difference value and the collection time interval, the running information collection module compares the power difference value, selects the maximum power difference value and the power variation speed, and obtains the running fluctuation amplitude and the running fluctuation speed.

6. The multi-valve networking collaborative control system based on information source interconnection according to claim 2, characterized in that, When the distribution correction module performs interference analysis on the tail gas emission parameter and the gas flow distribution parameter, the gas flow distribution parameter and the tail gas emission parameter at the same time are selected to form a data group, the tail gas emission parameters are arranged in order from low to high according to the content of the tail gas control substance to obtain a first data group sequence, and the gas flow distribution parameter in the data group sequence is extracted to obtain a first interference analysis result; When the distribution correction module performs interference analysis on the device running parameter and the gas flow distribution parameter, the gas flow distribution parameter and the device running parameter at the same time are selected to form a data group, and the data group is arranged in order from high to low according to the running stability to obtain a second data group sequence, and the gas flow distribution parameter in the data group sequence is extracted to obtain a second interference analysis result.

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

8. The multi-valve networking collaborative control system based on information source interconnection according to claim 2, characterized in that, The method for the collaborative control module to perform value assignment and summation is: The cooperative control module records the sequencing as x, generates a corresponding assignment y through a function corresponding to the assignment y; The coordination control module sums the assignments y of the airflow distribution parameters at the same time in the two groups of sequences to obtain an assignment sum result.

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