A mother line boiler coordinated control system and method

Abstract

The application is a kind of mother-pipe boiler coordinated control system and method, the control system includes pressure control module, flow control module, boiler control module, combustion control module, collection processing module, model prediction module, generation module. The pressure control module calculates the deviation value between the real-time pressure and the preset pressure value, the flow control module allocates the steam flow of each sub-pipe based on the deviation value, the boiler control module and the combustion control module are responsible for calculating the target boiler fuel quantity according to the steam flow respectively, and adjusting the boiler load parameter to generate the corresponding steam flow, so that the stable pressure control of the mother-pipe can be realized, the mother-pipe reaches the pressure balance state, improves the automation level and operation efficiency of the mother-pipe boiler coordinated control system, reduces the safety hidden danger and production cost, realizes the accurate control and fast response of the boiler mother-pipe steam pressure.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of boiler control, and in particular to a mother pipe boiler coordinated control system and method. BACKGROUND

[0002] The mother pipe boiler coordinated control system refers to a system in which all the steam generated by the boilers in a power plant is concentrated and introduced into a steam mother pipe, and then guided to each steam-using equipment. In modern industrial production, the mother pipe boiler coordinated control system is the core equipment of energy supply. The stability of the mother pipe boiler coordinated control system directly affects the continuity and economy of the entire production process. In particular, the stable control of the steam mother pipe pressure is crucial for ensuring the reliability and quality of steam supply.

[0003] Traditionally, the control process of the steam mother pipe pressure often relies on the manual judgment and adjustment of the fuel supply by the operator according to the changes in the steam mother pipe pressure. However, this manual control method has significant defects, limiting the automation level and response speed of the system.

[0004] Firstly, manual judgment is subjective and lagging. The operator needs to interpret the changes in the steam mother pipe pressure based on experience and make decisions on fuel adjustment accordingly. This judgment process not only takes a long time, but is also easily affected by individual experience, fatigue state, etc., leading to inaccurate or delayed adjustment.

[0005] Secondly, manual control is difficult to cope with rapid changes in steam demand. In industrial production, steam demand fluctuates rapidly due to various factors, and manual control often fails to capture these changes in time and accurately, and make corresponding adjustments, easily leading to large fluctuations in the steam pressure of the steam mother pipe, affecting the stability and quality of steam supply.

[0006] In addition, manual control also has safety hazards and low efficiency. The operator needs to frequently enter the field for inspection and adjustment, increasing the work intensity and risk. At the same time, due to the limitations of manual control, the system often cannot achieve the optimal operating state, leading to energy waste and increased production costs. SUMMARY

[0007] The present application aims to solve the deficiencies of the prior art and provides a mother pipe boiler coordinated control system and method.

[0008] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0009] The application discloses a kind of mother-pipe boiler coordination control system, including mother pipe, mother pipe is connected with multiple for providing steam sub-pipe corresponding, each sub-pipe is connected with corresponding boiler, mother-pipe boiler coordination control system further includes pressure control module, flow control module, boiler control module, combustion control module, collection processing module, model prediction module, generation module;

[0010] Pressure control module, corresponding connection with mother pipe, for obtaining the real-time pressure corresponding to mother pipe, and calculating the deviation value between real-time pressure and the preset pressure value corresponding to mother pipe;

[0011] Flow control module, corresponding connection with mother pipe, for obtaining the first steam flow corresponding to each sub-pipe based on the deviation value;

[0012] Boiler control module, corresponding connection with sub-pipe, for obtaining target boiler fuel quantity based on first steam flow;

[0013] Combustion control module, corresponding connection with sub-pipe, for adjusting the boiler load parameter corresponding to the combustion control module based on target boiler fuel quantity, the boiler load parameter is the parameter for characterizing the influence on the steam production amount of the sub-pipe;

[0014] Collection processing module, for collecting historical steam consumption data corresponding to mother pipe, and preprocessing historical steam consumption data;

[0015] Model prediction module, for training prediction model based on preprocessed historical steam consumption data, and predicting future steam consumption based on trained prediction model to obtain the change trend of steam consumption;

[0016] Generation module, for generating boiler adjustment preparation strategy based on change trend.

[0017] In particular, flow control module includes main PID submodule, and main PID submodule is used for calculating the first steam flow of each sub-pipe corresponding to deviation value based on preset first PID algorithm.

[0018] In particular, boiler control module includes auxiliary PID submodule, and auxiliary PID submodule is used for calculating target boiler fuel quantity based on preset second PID algorithm for each sub-pipe.

[0019] In particular, auxiliary PID submodule includes first acquisition submodule and bias submodule, and first acquisition submodule is used for obtaining bias information corresponding to each sub-pipe for each sub-pipe;Bias submodule is used for introducing first steam flow into bias information, generating second steam flow, and taking the boiler fuel quantity corresponding to second steam flow as target boiler fuel quantity.

[0020] In particular, the first obtaining submodule comprises an obtaining judgment submodule and an obtaining determination submodule, and for each sub-pipe, the obtaining judgment submodule is configured to obtain current boiler operation information corresponding to the sub-pipe in real time and judge the accuracy of the current boiler operation information, and the obtaining determination submodule is configured to obtain predicted boiler operation information corresponding to the sub-pipe when the current boiler operation information is inaccurate information, and determine bias information based on the predicted boiler operation information.

[0021] In particular, the obtaining judgment submodule comprises a second obtaining submodule, a cleaning submodule, a trend analysis submodule, a correlation analysis submodule, and a judgment accuracy submodule.

[0022] The second obtaining submodule is configured to obtain historical boiler operation information of the boiler operation, and the historical boiler operation information comprises a time stamp and is used for time series analysis.

[0023] The cleaning submodule is configured to clean the historical boiler operation information to remove noise and repeated values.

[0024] The trend analysis submodule is configured to perform separate trend analysis on each parameter in the historical boiler operation information to obtain a trend graph of each parameter in the historical boiler operation information over time.

[0025] The correlation analysis submodule is configured to analyze correlation information between multiple parameters in the historical boiler operation information based on a correlation coefficient calculation algorithm.

[0026] The judgment accuracy submodule is configured to judge whether each parameter in the current boiler operation information conforms to the trend graph and whether the correlation between multiple parameters in the current boiler operation information conforms to the correlation information. If both conform, the current boiler operation information is accurate information. If there is a parameter that does not conform to the trend graph and / or the correlation information, the current boiler operation information is inaccurate information.

[0027] In particular, the boiler control module further comprises an initial operation submodule, an updated operation submodule, an abnormality verification submodule, and a definition submodule. For each boiler control module, the initial operation submodule is configured to run the secondary PID submodule with initial PID parameters when the secondary PID submodule is running for the first time.

[0028] The updated operation submodule is configured to obtain updated PID parameters based on an adaptive algorithm when the secondary PID submodule is running for the second time, and run the secondary PID submodule with the updated PID parameters.

[0029] The abnormality verification submodule is configured to verify an abnormal event when the abnormal event is identified, and the abnormal event is a parameter representing a change in a preset parameter of the system.

[0030] The definition submodule is used to retrieve the optimal PID parameter corresponding to the abnormal event based on the online PID parameter library when the verification result is a confirmation of the abnormality, and the secondary PID submodule is defined as the first run, and the optimal PID parameter is used as the initial PID parameter, and the online PID parameter library contains PID parameters corresponding to different abnormal events.

[0031] A mother pipe boiler coordinated control method is performed by using a mother pipe boiler coordinated control system, and the method takes equipment as the execution subject, and includes the following steps:

[0032] S1: Obtain the real-time pressure corresponding to the mother pipe, and calculate the deviation value between the real-time pressure and the preset pressure value corresponding to the mother pipe;

[0033] S2: Based on the deviation value, obtain the first steam flow corresponding to each sub-pipe;

[0034] Based on the preset first PID algorithm, calculate the first steam flow corresponding to the deviation value;

[0035] S3: For each sub-pipe, based on the first steam flow, obtain the target boiler fuel amount;

[0036] For each sub-pipe, based on the preset second PID algorithm, calculate the target boiler fuel amount, including the following steps:

[0037] S31, for each sub-pipe, obtain the offset information corresponding to the sub-pipe;

[0038] S311, for each sub-pipe, obtain the current boiler operation information corresponding to the sub-pipe in real time, and determine the accuracy of the current boiler operation information;

[0039] S312, for each sub-pipe, if the current boiler operation information is not accurate information, obtain the predicted boiler operation information corresponding to the sub-pipe, and determine the offset information based on the predicted boiler operation information;

[0040] S32, for each sub-pipe, introduce the first steam flow into the offset information to generate the second steam flow, and take the boiler fuel amount corresponding to the second steam flow as the target boiler fuel amount;

[0041] If the second PID algorithm is the first run, the second PID algorithm runs with the initial PID parameter;

[0042] If the second PID algorithm is not the first run, obtain the updated PID parameter based on the adaptive algorithm, and the second PID algorithm runs with the updated PID parameter;

[0043] If an abnormal event of the system is identified, the abnormal event is verified, and the abnormal event is a parameter representing a change in a preset parameter of the system;

[0044] If the verification result is an abnormality, the optimal PID parameter corresponding to the abnormal event is retrieved based on an online PID parameter library, and the second PID algorithm is defined as the first running, and the optimal PID parameter is used as the initial PID parameter, and the online PID parameter library contains PID parameters corresponding to different abnormal events;

[0045] S4: For each sub-pipe, based on the target boiler fuel amount, adjust the corresponding boiler load parameter of the combustion control module, and the boiler load parameter is a parameter representing the influence on the steam production amount of the sub-pipe;

[0046] S5: Collect historical steam usage data corresponding to the header pipe, and preprocess the historical steam usage data;

[0047] S6: Based on the preprocessed historical steam usage data, train a prediction model, and based on the trained prediction model, predict future steam usage to obtain a change trend of the steam usage;

[0048] S7: Based on the change trend, generate a boiler adjustment preparation strategy.

[0049] In particular, the device is an electronic device, including a processor, a memory, an I / O interface, a communication component, a communication bus, the processor is coupled with the memory, and the processor is used to control the overall operation of the electronic device to complete all or part of the steps of the header boiler coordination control method; the memory is used to store various types of data to support the operation of the electronic device; the I / O interface provides an interface between the processor and other interface modules, the communication component is used for wired or wireless communication between the electronic device and other devices, and the communication bus includes a path for transmitting information between the processor, the memory, the I / O interface, and the communication component.

[0050] In particular, the device is a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the steps of the header boiler coordination control method.

[0051] The beneficial effects of this invention are as follows: the pressure control module calculates the deviation between the real-time pressure and the preset pressure value, while the flow control module allocates the steam flow of each sub-pipe based on the deviation value. The boiler control module and combustion control module are respectively responsible for calculating the target boiler fuel quantity based on the steam flow and adjusting the boiler load parameters to generate the corresponding steam flow. This enables stable pressure control of the main pipe, achieving a pressure balance state in the main pipe. This improves the automation level and operating efficiency of the main pipe-boiler coordinated control system, reduces safety hazards and production costs, and achieves precise control and rapid response of the boiler main pipe steam pressure. Furthermore, the system can plan, prepare, and adjust the boiler's operating status in advance to adapt to future changes in steam demand, avoiding supply and demand imbalances caused by response lag. This helps improve the boiler's operating efficiency and economy, and reduces operating costs. Attached Figure Description

[0052] Figure 1 This is a block diagram of the mother-pipe boiler coordinated control system of the present invention;

[0053] Figure 2 This is a flowchart of the coordinated control method for a main-pipe boiler according to the present invention;

[0054] Figure 3 This is a block diagram of the electronic device of the present invention;

[0055] In the diagram: 1-Processor; 2-Memory; 3-I / O interface; 4-Communication component; 5-Communication bus;

[0056] The following will describe in detail, with reference to the accompanying drawings, embodiments of the present invention. Detailed Implementation

[0057] The present invention will be further described below with reference to embodiments:

[0058] like Figure 1 As shown, a master-pipe boiler coordination control system includes a master pipe, to which multiple slave pipes for supplying steam are connected. Each slave pipe is connected to a corresponding boiler. In the steam transmission system, the master pipe and slave pipes are important parts of the pipeline network, each undertaking different functions and roles. The master pipe is the main transmission pipeline running through the entire steam system, and the slave pipes are pipes led out from the corresponding boilers and connected to the master pipe, used to transport the steam generated by the corresponding boilers to the master pipe.

[0059] The main control system for boilers also includes a pressure control module, a flow control module, a boiler control module, a combustion control module, a collection and processing module, a model prediction module, and a generation module.

[0060] The pressure control module is connected with the mother pipe and is used to obtain real-time pressure corresponding to the mother pipe and calculate a deviation value between the real-time pressure and a preset pressure value corresponding to the mother pipe;

[0061] The flow control module is connected with the mother pipe and is used to obtain first steam flow of each sub-pipe based on the deviation value.

[0062] The boiler control module is connected with the sub-pipe and is used to obtain a target boiler fuel amount based on the first steam flow.

[0063] The combustion control module is connected with the sub-pipe and is used to adjust a boiler load parameter of the combustion control module corresponding to the sub-pipe based on the target boiler fuel amount, the boiler load parameter being a parameter for characterizing an influence on steam production of the sub-pipe.

[0064] The boiler fuel amount can be one or both of coal and natural gas, and the boiler load parameter can include a coal feeder speed and / or a gas valve opening degree, the coal feeder speed being a rotating speed of the coal feeder for adjusting a coal feeding amount of the coal feeder so that the boiler meets a fuel demand, and the gas valve opening degree being an actual opening degree of the natural gas valve when in use for determining a flow of the natural gas passing through the valve, so that the amount of the natural gas entering the boiler can be accurately controlled by changing the gas valve opening degree to adjust a combustion intensity of the boiler so that the boiler meets the fuel demand.

[0065] When the steam flow required by the external steam user increases or decreases, the real-time pressure of the mother pipe will correspondingly decrease or increase due to the fact that the boiler combustion remains at a balance value before the flow adjustment, the pressure control module calculates a deviation value between the real-time pressure and the preset pressure value, the flow control module allocates steam flow of each sub-pipe based on the deviation value, the boiler control module and the combustion control module are respectively responsible for calculating a target boiler fuel amount according to the steam flow and adjusting a boiler load parameter to generate corresponding steam flow, so that stable pressure control of the mother pipe can be achieved, the mother pipe reaches a pressure balance state, the automation level and operation efficiency of the mother-pipe boiler coordinated control system are improved, safety hazards and production costs are reduced, and accurate control and rapid response of the boiler mother-pipe steam pressure are achieved.

[0066] The flow control module includes a main PID submodule, which is used to calculate first steam flow of each sub-pipe corresponding to the deviation value based on a preset first PID algorithm. The main PID submodule calculates a target steam flow of the mother pipe through the deviation value between the real-time pressure and the preset pressure value corresponding to the mother pipe, and then evenly distributes the target steam flow to each sub-pipe to obtain first steam flow corresponding to each sub-pipe. Real-time feedback and adjustment mechanism of the main PID submodule helps to maintain stability and accuracy of the mother-pipe steam flow.

[0067] The boiler control module comprises a secondary PID submodule, and the secondary PID submodule is configured to calculate, for each sub-pipe, a target boiler fuel quantity based on a preset second PID algorithm; the secondary PID submodule outputs the target boiler fuel quantity for the corresponding sub-pipe and sends the target boiler fuel quantity to the combustion control module for adjustment of the coal feeder speed or the gas valve opening degree.

[0068] Specifically, the PID algorithm has good adaptability and strong robustness, and can cope with the flow changes of the mother pipe under different working conditions, ensuring stable operation of the mother pipe boiler coordinated control system under various conditions. The cooperative work of the main PID submodule and the secondary PID submodule realizes accurate control of the whole chain from the steam flow to the boiler fuel quantity, and improves the overall performance and operation efficiency of the mother pipe boiler coordinated control system.

[0069] The secondary PID submodule comprises a first acquisition submodule and a bias submodule, and the first acquisition submodule is configured to acquire bias information corresponding to each sub-pipe; and the bias submodule is configured to introduce the first steam flow into the bias information to generate a second steam flow, and take the boiler fuel quantity corresponding to the second steam flow as the target boiler fuel quantity.

[0070] The secondary PID submodule adds certain bias information to the corresponding first steam flow. The bias information can be bias that can realize state disturbance-free switching, or bias that can realize separate adjustment of the sub-pipe output according to actual demand.

[0071] Disturbance-free switching refers to that when the mother pipe boiler coordinated control system switches from one state to another state, such as from automatic mode to manual mode, or from one working point to another working point, the output of the mother pipe boiler coordinated control system can remain relatively stable, avoiding large fluctuations or disturbances.

[0072] When the secondary PID submodule adds bias information to the first steam flow, it provides a "buffer" or "adjustment amount" for the mother pipe boiler coordinated control system, so that when the control mode is switched or the working point is adjusted, the mother pipe boiler coordinated control system can gradually transition to the new state using the bias information, rather than suddenly changing the control amount, thereby avoiding disturbances of the mother pipe boiler coordinated control system caused by sudden changes in the control amount.

[0073] In the boiler system, each sub-pipe needs to be adjusted according to the actual demand, and the output size is directly related to the steam flow and the boiler fuel quantity. By adding bias information to the sub-PID module, the master-pipe boiler coordinated control system can more flexibly adjust the steam flow and the corresponding boiler fuel quantity of each sub-pipe, thereby realizing accurate control of the individual output.

[0074] The first acquisition submodule includes an acquisition judgment submodule and an acquisition determination submodule. For each sub-pipe, the acquisition judgment submodule is used to acquire the current boiler operation information corresponding to the sub-pipe in real time, and to judge the accuracy of the current boiler operation information. The acquisition determination submodule is used to acquire the predicted boiler operation information corresponding to the sub-pipe when the current boiler operation information is inaccurate information, and to determine the bias information based on the predicted boiler operation information.

[0075] The boiler operation information can include key performance indicators such as combustion efficiency, steam production, safety, etc. directly related to the boiler corresponding to the sub-pipe, such as sub-pipe steam flow, sub-pipe pressure, steam temperature, fuel consumption, feed water flow, furnace temperature and flue gas composition. The sub-pipe steam flow is used to reflect the current steam production of the boiler, the sub-pipe pressure is used to indicate the pressure state of the steam in the pipeline, the steam temperature is directly related to its thermal energy and utilization efficiency, the fuel consumption is used to record the fuel consumption of the boiler within a certain time, and is used to calculate the combustion efficiency and economy of the boiler, the feed water flow is the water entering the boiler, which affects the stability of the steam production and the water circulation system, the furnace temperature is an important parameter reflecting the combustion condition in the furnace, and the flue gas composition includes oxygen, carbon monoxide, nitrogen oxides, etc., which is used to monitor the completeness of the combustion process and the level of emission pollutants.

[0076] The acquisition judgment submodule includes a second acquisition submodule, a cleaning submodule, a trend analysis submodule, a correlation analysis submodule, and a judgment accuracy submodule.

[0077] The second acquisition submodule is used to acquire historical boiler operation information of the boiler operation, and the historical boiler operation information includes a time stamp for time series analysis.

[0078] The cleaning submodule is used to clean the historical boiler operation information to remove noise and repeated values.

[0079] The trend analysis submodule is used to perform individual trend analysis on each parameter in the historical boiler operation information to obtain a trend graph of each parameter in the historical boiler operation information over time.

[0080] The correlation analysis submodule is configured to analyze the correlation information between the plurality of parameters in the historical boiler operation information based on a correlation coefficient calculation method. The correlation information can include strong correlation and weak correlation. The strong correlation indicates that there is a close relationship between the parameters, and the weak correlation can indicate that the relationship between them is relatively loose. The specific division standard of the strong correlation and the weak correlation can be based on actual conditions. For example, the increase of the furnace temperature leads to the increase of the steam temperature; the increase of the fuel consumption leads to the increase of the sub-pipe steam flow; the increase of the sub-pipe steam flow is accompanied by the increase of the fuel consumption; the fluctuation of the sub-pipe pressure is related to the stability of the fuel supply. The correlation coefficient calculation method can be a Pearson correlation coefficient calculation method.

[0081] The judgment accuracy submodule is configured to judge whether each parameter in the current boiler operation information conforms to the change trend graph, and whether the correlation between the plurality of parameters in the current boiler operation information conforms to the correlation information. If both conform, the current boiler operation information is accurate information. If there is a parameter that does not conform to the change trend graph and / or the correlation information, the current boiler operation information is inaccurate information. When the current boiler operation information is accurate information, the bias information corresponding to the current boiler operation information can be obtained according to the preset corresponding relationship between the boiler operation information and the bias information.

[0082] The working steps of the acquisition determination submodule are as follows:

[0083] Based on the change trend graph and the correlation information of different parameters in the historical boiler operation information, a prediction simulation model of the boiler operation information is established. The prediction simulation model can help predict the future operation information of the boiler.

[0084] Based on the prediction simulation model, the prediction boiler operation information corresponding to the current time is obtained. Based on the preset corresponding relationship between the boiler operation information and the bias information, the bias information corresponding to the prediction boiler operation information is queried, and the bias information is taken as the bias information currently corresponding to the sub-pipe.

[0085] By monitoring the change trend and the mutual relationship of the plurality of parameters in real time, potential detection abnormal conditions can be found in time. The bias information corresponding to the prediction boiler operation information is taken as the bias information currently corresponding to the sub-pipe, which improves the accuracy of the bias information setting and reduces the influence of abnormal conditions in the boiler operation information.

[0086] The boiler control module further includes an initial operation submodule, an update operation submodule, an abnormality verification submodule, and a definition submodule.

[0087] For each boiler control module, the initial operation submodule is configured to run the secondary PID submodule with initial PID parameters when the secondary PID submodule is running for the first time.

[0088] The updating running submodule is configured to, when the secondary PID submodule is not running for the first time, obtain updated PID parameters based on an adaptive algorithm, and the secondary PID submodule runs with the updated PID parameters.

[0089] The PID parameters can include Kp, Ki, and Kd, and the adaptive algorithm can be a preset existing algorithm such as fuzzy logic or neural network. The adjusted PID parameters are applied to the master and boiler coordinated control system, and the change in the performance of the master and boiler coordinated control system is observed. The PID parameters are further fine-tuned according to the feedback results to obtain updated PID parameters, thereby achieving better control effect.

[0090] The abnormality verification submodule is configured to, when an abnormal event of the system is identified, verify the abnormal event, the abnormal event being a parameter indicating that a preset parameter of the system has changed.

[0091] The defining submodule is configured to, when the verification result is that the abnormality is confirmed, search for optimal PID parameters corresponding to the abnormal event based on an online PID parameter library, and define the secondary PID submodule as running for the first time, and use the optimal PID parameters as initial PID parameters. The online PID parameter library contains PID parameters corresponding to different abnormal events.

[0092] When the preset parameter changes, the effect of fine-tuning the PID parameters by the adaptive algorithm is poor, and the corresponding PID parameters need to be re-determined to ensure the stability and reliability of the system in the case of abnormal events. For example, the preset parameters can include fuel quality and related combustion parameters of the boiler, and when the combustion quality suddenly changes and / or the related combustion parameters are re-set, the master and boiler coordinated control system has an abnormal event.

[0093] The abnormal event usually causes the performance of the system to decrease significantly or deviate from the expected range, and the abnormal event in the system can be identified through data analysis such as statistical methods, machine learning models, etc. Once the abnormality is detected, the system can automatically trigger a confirmation verification mechanism to exclude false positives and false positives. The processing of the verification is achieved through multi-source data verification, expert rules or manual confirmation, wherein the multi-source data verification can include multi-source data such as different sensor data, historical records, etc.

[0094] After confirming the abnormality, the system retrieves the most accurate and closest PID running parameters corresponding to the current abnormal event from an online PID parameter library. The online PID parameter library contains the best configuration information of the PID parameters under different working conditions and supports fast retrieval and matching. The optimal PID parameters retrieved are applied to the secondary PID submodule, and the response of the system is monitored. If the performance of the system has not yet recovered to the expected level, further manual intervention or expert guidance is required.

[0095] Specifically, an online PID parameter library can be established based on historical data, expert experience, and / or simulation results. As the system operates and experiences accumulate, new PID parameter configurations are continuously added to the online PID parameter library to enrich and optimize the content of the online PID parameter library. The online PID parameter library is regularly maintained and audited to ensure the accuracy and effectiveness of the data. At the same time, a secure access and backup mechanism is provided for the online PID parameter library to prevent data loss or damage.

[0096] The header boiler coordinated control system further comprises a collection processing module, a model prediction module, and a generation module.

[0097] The collection processing module is configured to collect historical steam consumption data corresponding to the header and pre-process the historical steam consumption data.

[0098] The model prediction module is configured to train a prediction model based on the pre-processed historical steam consumption data, and predict future steam consumption based on the trained prediction model to obtain a change trend of the steam consumption.

[0099] The generation module is configured to generate a boiler adjustment preparation strategy based on the change trend.

[0100] The historical steam consumption data is the basis for predicting the change trend of the steam consumption, and can include steam consumption records in the past, such as the past few days, weeks, or months. Pre-processing the collected historical steam consumption data can include data cleaning to remove erroneous, duplicate, or abnormal data points, data conversion such as unit unification, missing value filling, and data standardization / normilization to facilitate better comparison of different data points in model training, etc.

[0101] Features useful for predicting steam consumption are extracted from the pre-processed historical steam consumption data, which can include historical steam consumption, time-related derived variables such as date, month, season, etc., current and / or historical values of related influencing factors, etc. The entire historical data or a portion thereof is used as a training set to train the prediction model. The trained prediction model is evaluated on an independent test set for its prediction performance. The accuracy and reliability of the prediction model are evaluated by comparing the differences between the model's prediction results and the actual steam consumption.

[0102] The trained prediction model is applied to the current adjustment process. According to the change trend of steam consumption output by the prediction model, i.e. the predicted value of steam consumption in the future period of time, a corresponding boiler adjustment preparation strategy is developed, such as adjusting fuel supply, optimizing production plan, maintaining boiler equipment, etc., to ensure the stability and sufficiency of steam supply.

[0103] Specifically, the actual change of the steam consumption can be monitored in real time during the adjustment process and compared with the predicted value of the steam consumption. If a significant difference is found between the actual change and the predicted value, the cause can be analyzed manually in a timely manner and the adjustment plan can be adjusted. At the same time, the new actual data is added to the historical data set so as to update and optimize the model in the future.

[0104] As mentioned above, the modules in the system can be one or more integrated circuits configured to implement the corresponding method, for example: one or more application specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0105] As mentioned above, when the modules in the system can be implemented in the form of a processing element scheduler, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call programs. As mentioned above, these modules can be integrated together to implement a system-on-a-chip (SOC).

[0106] In the present application, various objects such as messages / information / devices / network elements / systems / devices / actions / operations / processes / concepts, etc. that can occur in the present application are named. It can be understood that these specific names do not constitute a limitation on the related objects, and the names assigned can be changed according to factors such as scene, context or usage habits. The technical meaning of the technical terms in the present application should be determined mainly from the function and technical effect embodied / implemented in the technical scheme.

[0107] Those of ordinary skill in the art can realize that the modules and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether the functions are implemented in hardware or software depends on the specific application and design constraints of the technical scheme. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0108] As shown in Figure 2 A kind of mother tube boiler coordination control method, is carried out using a kind of mother tube boiler coordination control system, and the method is with equipment as execution main body, include the following steps:

[0109] S1: acquiring a real-time pressure corresponding to a mother pipe, and calculating a deviation value between the real-time pressure and a preset pressure value corresponding to the mother pipe;

[0110] S2: based on the deviation value, acquiring a first steam flow corresponding to each sub-pipe;

[0111] based on a preset first PID algorithm, calculating each first steam flow corresponding to the deviation value;

[0112] S3: for each sub-pipe, based on the first steam flow, acquiring a target boiler fuel amount;

[0113] for each sub-pipe, based on a preset second PID algorithm, calculating the target boiler fuel amount, comprising the following steps:

[0114] S31, for each sub-pipe, acquiring offset information corresponding to the sub-pipe;

[0115] S311, for each sub-pipe, acquiring current boiler operation information corresponding to the sub-pipe in real time, and judging the accuracy of the current boiler operation information;

[0116] S312, for each sub-pipe, if the current boiler operation information is not accurate information, acquiring predicted boiler operation information corresponding to the sub-pipe, and based on the predicted boiler operation information, determining the offset information;

[0117] S32, for each sub-pipe, introducing the first steam flow into the offset information to generate a second steam flow, and taking a boiler fuel amount corresponding to the second steam flow as the target boiler fuel amount;

[0118] if the second PID algorithm is a first run, the second PID algorithm runs with initial PID parameters;

[0119] if the second PID algorithm is not a first run, based on an adaptive algorithm, updated PID parameters are obtained, and the second PID algorithm runs with the updated PID parameters;

[0120] if an abnormal event of the system is identified, the abnormal event is verified, and the abnormal event is a parameter indicating that a preset parameter of the system changes;

[0121] if the verification result is to confirm the abnormality, based on an online PID parameter library, optimal PID parameters corresponding to the abnormal event are searched, the second PID algorithm is defined as a first run, the optimal PID parameters are taken as initial PID parameters, and the online PID parameter library contains PID parameters corresponding to different abnormal events.

[0122] S4: for each sub-pipe, based on the target boiler fuel amount, adjusting a boiler load parameter corresponding to the combustion control module, the boiler load parameter being a parameter representing an influence on the steam production amount of the sub-pipe;

[0123] S5, collect the historical steam consumption data corresponding to the mother pipe, and pretreat the historical steam consumption data;

[0124] S6, based on the pretreated historical steam consumption data, train a prediction model, and based on the trained prediction model, predict the future steam consumption to obtain the change trend of the steam consumption;

[0125] S7, based on the change trend, generate a boiler adjustment preparation strategy.

[0126] The device can be a server or a terminal device, wherein the server can be a standalone physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a desktop computer, etc., but is not limited thereto.

[0127] Specifically, as shown in Figure 3 , the device is an electronic device, including a processor 1, a memory 2, an I / O interface 3, a communication component 4, a communication bus 5, the processor 1 is coupled with the memory 2, and the processor 1 is used to control the overall operation of the electronic device to complete all or part of the steps in the mother pipe boiler coordination control method.

[0128] The memory 2 is used to store various types of data to support the operation of the electronic device, which can include, for example, instructions for operating any application or method on the electronic device, and application-related data; the memory can be realized by any type of volatile or non-volatile storage device or their combination, for example, one or more of static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0129] The I / O interface 3 provides an interface between the processor and other interface modules, which can be a keyboard, a mouse, a button, etc., and the buttons can be virtual buttons or physical buttons.

[0130] The communication component 4 is configured to perform wired or wireless communication between the electronic device and other devices, and the wireless communication can be, for example, Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, and thus the corresponding communication component 4 can include a Wi-Fi component, a Bluetooth component, an NFC component.

[0131] The communication bus 5 includes a path for transmitting information between the processor 1, the memory 2, the I / O interface 3, and the communication component 4. The communication bus 5 can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 5 can be divided into an address bus, a data bus, a control bus, etc.

[0132] The electronic device can be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for performing the method of the mother boiler coordinated control according to the above-described embodiments.

[0133] The electronic device can include, but is not limited to, a mobile terminal such as a digital broadcast receiver, a PDA (Personal Digital Assistant), a PMP (Portable Multimedia Player), etc., and a stationary terminal such as a digital TV, a desktop computer, etc., and can also be a server, etc.

[0134] Specifically, the device is a computer-readable storage medium, and the computer-readable storage medium stores a computer program, and the computer program is executed by the processor to implement the steps of the method of the mother boiler coordinated control. The computer-readable storage medium can include a U disk, a mobile hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, etc. various media that can store program codes.

[0135] The terms "comprise", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0136] In addition, the terms "first", "second", and the like, are used only to describe the names of the features, and do not indicate or imply relative importance or a specific number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality of" is at least two, such as two, three, etc., unless otherwise explicitly specified and limited.

[0137] In the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting", "fixing" and the like should be understood broadly, for example, can be fixedly connected, or can be detachably connected, or integrated; can be mechanically connected, or electrically connected or can communicate with each other; can be directly connected, or indirectly connected through an intermediate medium, can be the internal communication of two elements or the interaction relationship between two elements, unless otherwise explicitly limited. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0138] The above is an exemplary description of the present application, and it is obvious that the specific implementation of the present application is not limited by the above manner, and various improvements using the method concept and technical scheme of the present application, or direct application to other occasions without improvement, are within the protection scope of the present application.

Claims

1. A master-tube boiler coordinated control system comprising a master tube to which a plurality of sub-tubes for supplying steam are connected in correspondence, each of the sub-tubes being connected to a corresponding boiler, characterized by, The mother-pipe boiler coordinated control system further comprises a pressure control module, a flow control module, a boiler control module, a combustion control module, a collection and processing module, a model prediction module, and a generation module; The pressure control module is connected with the mother pipe and is configured to obtain real-time pressure corresponding to the mother pipe and calculate a deviation value between the real-time pressure and a preset pressure value corresponding to the mother pipe; The flow control module is connected with the mother pipe and is configured to obtain first steam flow corresponding to each sub-pipe based on the deviation value, and comprises a main PID sub-module configured to calculate the first steam flow of each sub-pipe corresponding to the deviation value based on a preset first PID algorithm; The boiler control module is connected with the sub-pipe and is configured to obtain a target boiler fuel amount based on the first steam flow, and comprises a secondary PID sub-module configured to calculate the target boiler fuel amount based on a preset second PID algorithm for each sub-pipe; The secondary PID sub-module comprises a first acquisition sub-module and a bias sub-module, and the first acquisition sub-module is configured to obtain bias information corresponding to each sub-pipe; The bias sub-module is configured to introduce the first steam flow into the bias information, generate second steam flow, and take the boiler fuel amount corresponding to the second steam flow as the target boiler fuel amount; The first acquisition sub-module comprises an acquisition judgment sub-module and an acquisition determination sub-module, and the acquisition judgment sub-module is configured to obtain current boiler running information corresponding to each sub-pipe in real time and judge the accuracy of the current boiler running information; The acquisition determination sub-module is configured to obtain predicted boiler running information corresponding to each sub-pipe when the current boiler running information is inaccurate information, and determine the bias information based on the predicted boiler running information; The combustion control module is connected with the sub-pipe and is configured to adjust a boiler load parameter corresponding to the combustion control module based on the target boiler fuel amount, wherein the boiler load parameter is a parameter representing an influence on steam production of the sub-pipe; The collection and processing module is configured to collect historical steam consumption data corresponding to the mother pipe and pre-process the historical steam consumption data; The model prediction module is configured to train a prediction model based on the pre-processed historical steam consumption data, and predict future steam consumption based on the trained prediction model to obtain a change trend of the steam consumption; The generation module is configured to generate a boiler adjustment preparation strategy based on the change trend.

2. A master-slave boiler coordinated control system according to claim 1, wherein The acquisition judgment sub-module comprises a second acquisition sub-module, a cleaning sub-module, a trend analysis sub-module, a correlation analysis sub-module, and a judgment accuracy sub-module; The second acquisition sub-module is configured to obtain historical boiler running information of the boiler, and the historical boiler running information comprises a time stamp for time series analysis; The cleaning sub-module is configured to clean the historical boiler running information to remove noise and repeated values; The trend analysis sub-module is configured to perform separate trend analysis on each parameter in the historical boiler running information to obtain a trend graph of each parameter in the historical boiler running information over time; The correlation analysis sub-module is configured to analyze correlation information between multiple parameters in the historical boiler running information based on a correlation coefficient algorithm. The judging accuracy sub-module is configured to judge whether each parameter in the current boiler operation information conforms to the change trend graph and whether the correlation between the multiple parameters in the current boiler operation information conforms to the correlation information; if both conform, the current boiler operation information is accurate information. If there is a parameter that does not conform to the change trend graph and / or the correlation information, the current boiler operation information is inaccurate information.

3. A master-slave boiler coordinated control system according to claim 2, wherein The boiler control module further comprises an initial operation sub-module, an update operation sub-module, an exception verification sub-module, and a definition sub-module. For each boiler control module, the initial operation sub-module is configured to, when the secondary PID sub-module is running for the first time, cause the secondary PID sub-module to run with initial PID parameters. The update operation sub-module is configured to, when the secondary PID sub-module is not running for the first time, obtain updated PID parameters based on an adaptive algorithm, and cause the secondary PID sub-module to run with the updated PID parameters. The exception verification sub-module is configured to, when an abnormal event of the system is identified, verify the abnormal event, the abnormal event being a parameter that indicates a change in a preset parameter of the system. The definition sub-module is configured to, when the verification result is that the abnormal event is confirmed, search for optimal PID parameters corresponding to the abnormal event based on an online PID parameter library, define the secondary PID sub-module as running for the first time, and use the optimal PID parameters as the initial PID parameters. The online PID parameter library comprises PID parameters corresponding to different abnormal events.

4. A method of coordinated control of a mother pipe boiler, characterized by The method is performed by the master-and-slave boiler coordinated control system of claim 3, and the method takes the device as an execution subject and comprises the following steps: S1: obtaining real-time pressure corresponding to the master pipe and calculating a deviation value between the real-time pressure and a preset pressure value corresponding to the master pipe; S2: based on the deviation value, obtaining first steam flow corresponding to each of the slave pipes; based on a preset first PID algorithm, calculating the first steam flow corresponding to the deviation value; S3: for each of the slave pipes, obtaining a target boiler fuel amount based on the first steam flow; for each of the slave pipes, calculating the target boiler fuel amount based on a preset second PID algorithm, comprising the following steps: S31: for each of the slave pipes, obtaining offset information corresponding to the slave pipe; S311: for each of the slave pipes, obtaining current boiler operation information corresponding to the slave pipe in real time and judging accuracy of the current boiler operation information; S312: for each of the slave pipes, if the current boiler operation information is inaccurate information, obtaining predicted boiler operation information corresponding to the slave pipe and determining the offset information based on the predicted boiler operation information; S32: for each of the slave pipes, introducing the first steam flow into the offset information to generate second steam flow, and using boiler fuel amount corresponding to the second steam flow as the target boiler fuel amount; if the second PID algorithm is running for the first time, the second PID algorithm runs with initial PID parameters; if the second PID algorithm is not running for the first time, obtaining updated PID parameters based on an adaptive algorithm, and causing the second PID algorithm to run with the updated PID parameters; if an abnormal event of the system is identified, verifying the abnormal event, the abnormal event being a parameter that indicates a change in a preset parameter of the system. If the verification result is an abnormality, the optimal PID parameters corresponding to the abnormal event are retrieved based on an online PID parameter library, and the second PID algorithm is defined as the first run, and the optimal PID parameters are used as the initial PID parameters, and the online PID parameter library contains PID parameters corresponding to different abnormal events; S4: For each sub-pipe, based on the target boiler fuel amount, adjust the corresponding boiler load parameter of the combustion control module, and the boiler load parameter is a parameter representing the influence on the steam production amount of the sub-pipe; S5: Collect historical steam consumption data corresponding to the header pipe, and preprocess the historical steam consumption data; S6: Based on the preprocessed historical steam consumption data, train a prediction model, and based on the trained prediction model, predict future steam consumption to obtain a change trend of the steam consumption; S7: Based on the change trend, generate a boiler adjustment preparation strategy.

5. The master-slave boiler coordinated control method according to claim 4, characterized in that, The device is an electronic device, including a processor (1), a memory (2), an I / O interface (3), a communication component (4), a communication bus (5), the processor (1) is coupled with the memory (2), the processor (1) is used to control the overall operation of the electronic device to complete all or part of the steps in the header boiler coordination control method; the memory (2) is used to store various types of data to support the operation of the electronic device; the I / O interface (3) provides an interface between the processor and other interface modules, the communication component (4) is used for wired or wireless communication between the electronic device and other devices, and the communication bus (5) includes a path for transmitting information between the processor (1), the memory (2), the I / O interface (3), and the communication component (4).

6. The master-slave boiler coordinated control method according to claim 4, characterized in that, The device is a computer readable storage medium, and the computer readable storage medium stores a computer program, and the computer program is executed by the processor to realize the steps of the header boiler coordination control method.

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