Coordinated control system and method for header system boiler

Abstract

The invention relates to a header system boiler coordination control system and method. The control system comprises a pressure control module, a flow control module, a boiler control module, a combustion control module, a collection processing module, a model prediction module and a generation module. The pressure control module calculates a deviation value between real-time pressure and a preset pressure value, the flow control module distributes steam flow of each sub-pipe based on the deviation value, and the boiler control module and the combustion control module are respectively responsible for calculating target boiler fuel quantity according to the steam flow. And boiler load parameters are adjusted to generate corresponding steam flow, so that stable pressure control on the mother pipe can be realized, the mother pipe reaches a pressure balance state, the automation level and the operation efficiency of the mother pipe system boiler coordination control system are improved, potential safety hazards and production cost are reduced, and the production efficiency is improved. Accurate control and quick response of the steam pressure of the boiler main pipe are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of boiler control, and in particular to a main pipe boiler coordinated control system and method. Background Art

[0002] The main pipe boiler coordinated control system refers to an operating system in which the steam generated by all boilers in a power plant is concentrated to a steam main pipe, and then the steam main pipe is used to guide the steam to various steam-using equipment. In modern industrial production, the main pipe boiler coordinated control system is the core equipment for energy supply. The stability of the main pipe boiler coordinated control system is directly related to the continuity and economy of the entire production process. In particular, the stable control of the steam main pipe pressure is crucial to ensure the reliability and quality of steam supply.

[0003] Traditionally, the control process of the steam main pressure often relies on the operator to manually judge and adjust the fuel supply according to the pressure changes of the steam main. However, this manual control method has significant defects, which limits the automation level and response speed of the system.

[0004] First, manual judgment is subjective and lagging. Operators need to interpret the pressure changes of the steam main pipe based on their experience and make fuel adjustment decisions accordingly. This judgment process is not only time-consuming, but also easily affected by factors such as personal experience and fatigue, resulting in inaccurate or delayed adjustments.

[0005] Secondly, manual control is difficult to cope with the rapidly changing steam demand. In industrial production, steam demand fluctuates rapidly due to a variety of factors, and manual control is often difficult to capture these changes in a timely and accurate manner and make corresponding adjustments, which can easily lead to large fluctuations in the steam pressure of the steam main pipe, affecting the stability and quality of steam supply.

[0006] In addition, manual control also has safety risks and low efficiency. Operators need to frequently enter the site for inspection and adjustment, which increases work intensity and risks. At the same time, due to the limitations of manual control, the system often cannot achieve the optimal operating state, resulting in energy waste and increased production costs. Summary of the invention

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

[0008] In order to achieve the above object, the present invention adopts the following technical solutions:

[0009] A mother pipe boiler coordinated control system, comprising a mother pipe, the mother pipe correspondingly connected to a plurality of sub-pipes for providing steam, each sub-pipe being connected to a corresponding boiler, the mother pipe boiler coordinated control system further comprising 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;

[0010] The pressure control module is connected to the mother pipe and is used to obtain the real-time pressure of the mother pipe and calculate the deviation between the real-time pressure and the preset pressure value of the mother pipe;

[0011] A flow control module, connected to the main pipe, and used for obtaining the first steam flow corresponding to each sub-pipe based on the deviation value;

[0012] A boiler control module, connected to the sub-pipes correspondingly, for obtaining a target boiler fuel amount based on the first steam flow rate;

[0013] A combustion control module is connected to the sub-tube and is used to adjust the boiler load parameter corresponding to the combustion control module based on the target boiler fuel quantity, where the boiler load parameter is a parameter that characterizes the influence on the steam generation quantity of the sub-tube;

[0014] The collection and processing module is used to collect the historical steam usage data corresponding to the main pipe and pre-process the historical steam usage data;

[0015] The model prediction module is used to train the prediction model based on the preprocessed historical steam usage data, and predict the future steam usage based on the trained prediction model to obtain the change trend of the steam usage;

[0016] The generation module is used to generate boiler adjustment preparation strategies based on the change trend.

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

[0018] In particular, the boiler control module includes a sub-PID sub-module, and for each sub-pipe, the sub-PID sub-module is used to calculate a target boiler fuel amount based on a preset second PID algorithm.

[0019] In particular, the sub-PID submodule includes a first acquisition submodule and a bias submodule. For each sub-pipe, the first acquisition submodule is used to obtain the bias information corresponding to the sub-pipe; the bias submodule is used to introduce the first steam flow into the bias information, generate a second steam flow, and use the boiler fuel amount corresponding to the second steam flow as the target boiler fuel amount.

[0020] In particular, the first acquisition submodule includes an acquisition judgment submodule and an acquisition determination submodule. For each sub-tube, the acquisition judgment submodule is used to acquire the current boiler operation information corresponding to the sub-tube in real time and 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-tube when the current boiler operation information is inaccurate information, and determine the bias information based on the predicted boiler operation information.

[0021] In particular, the acquisition judgment submodule includes a second acquisition submodule, a cleaning submodule, a trend analysis submodule, a correlation analysis submodule, and an accurate judgment submodule;

[0022] A second acquisition submodule is used to acquire historical boiler operation information of the boiler operation, wherein the historical boiler operation information includes a timestamp and is used for time series analysis;

[0023] The cleaning submodule is used to clean the historical boiler operation information to remove noise and duplicate values;

[0024] The trend analysis submodule is used to perform a separate trend analysis on each parameter in the historical boiler operation information to obtain a time-varying trend graph of each parameter in the historical boiler operation information;

[0025] A correlation analysis submodule is used to analyze the correlation information between multiple parameters in the historical boiler operation information based on a correlation coefficient statistical algorithm;

[0026] The accuracy judgment submodule is used to judge whether each parameter in the current boiler operation information conforms to the change trend diagram, and to judge whether the correlation between multiple parameters in the current boiler operation information conforms to the correlation information; if all are consistent, the current boiler operation information is accurate information; if there are parameters that do not conform to the change trend diagram and / or correlation information, the current boiler operation information is inaccurate information.

[0027] In particular, the boiler control module further includes an initial operation submodule, an update operation submodule, an abnormal verification submodule, and a definition submodule. For each boiler control module, the initial operation submodule is used to operate the secondary PID submodule with initial PID parameters when the secondary PID submodule is operated for the first time;

[0028] An update operation submodule is used to obtain updated PID parameters based on an adaptive algorithm when the sub-PID submodule is not running for the first time, and the sub-PID submodule runs with the updated PID parameters;

[0029] The abnormal verification submodule is used to verify the abnormal event when an abnormal event occurs in the system. The abnormal event is a parameter that indicates a change in the preset parameters of the system.

[0030] A submodule is defined to retrieve the optimal PID parameters corresponding to the abnormal event based on the online PID parameter library when the verification result is confirmed abnormality, and the auxiliary PID submodule is defined as the first operation, and the optimal PID parameters are used as the initial PID parameters. The online PID parameter library contains PID parameters corresponding to different abnormal events.

[0031] A main tube boiler coordinated control method is implemented using a main tube boiler coordinated control system, and the method is performed by equipment as an 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, obtaining the first steam flow rate corresponding to each sub-tube;

[0034] Based on a preset first PID algorithm, calculating each of the first steam flows corresponding to the deviation value;

[0035] S3: for each sub-tube, obtaining a target boiler fuel amount based on the first steam flow rate;

[0036] For each sub-tube, the target boiler fuel quantity is calculated based on a preset second PID algorithm, including the following steps:

[0037] S31, for each sub-tube, obtaining bias information corresponding to the sub-tube;

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

[0039] S312: for each sub-tube, if the current boiler operation information is inaccurate information, obtain the predicted boiler operation information corresponding to the sub-tube, and determine the bias information based on the predicted boiler operation information;

[0040] S32, for each sub-pipe, introducing the first steam flow into the bias information to generate a second steam flow, and taking the boiler fuel amount corresponding to the second steam flow as the target boiler fuel amount;

[0041] If the second PID algorithm is running for the first time, the second PID algorithm runs with initial PID parameters;

[0042] If the second PID algorithm is not running for the first time, then based on the adaptive algorithm, updated PID parameters are obtained, and the second PID algorithm runs with the updated PID parameters;

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

[0044] If the verification result is confirmed abnormality, the optimal PID parameters corresponding to the abnormal event are retrieved based on the 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. The online PID parameter library contains PID parameters corresponding to different abnormal events;

[0045] S4: for each sub-tube, based on the target boiler fuel amount, adjusting the boiler load parameter corresponding to the combustion control module, where the boiler load parameter is a parameter that characterizes the influence on the steam generation amount of the sub-tube;

[0046] S5: collecting historical steam usage data corresponding to the main pipe, and preprocessing the historical steam usage data;

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

[0048] S7: Generate a boiler adjustment preparation strategy based on the change trend.

[0049] In particular, the device is an electronic device, including a processor, a memory, an I / O interface, a communication component, and a communication bus. The processor is coupled to the memory, and the processor is used to control the overall operation of the electronic device to complete all or part of the steps in the mother-tube boiler coordinated control method; the memory is used to store various types of data to support operations in 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 to transmit 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, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the mother tube boiler coordinated control method are implemented.

[0051] The beneficial effects of the present invention are as follows: the pressure control module calculates the deviation value between the real-time pressure and the preset pressure value, and 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 respectively responsible for calculating the target boiler fuel amount according to the steam flow, and adjusting the boiler load parameters to generate the corresponding steam flow, thereby realizing stable pressure control of the mother pipe, and the mother pipe reaches a pressure balance state, thereby improving the automation level and operation efficiency of the mother pipe boiler coordination control system, reducing safety hazards and production costs, and realizing precise control and rapid response of the boiler mother pipe steam pressure; and the system can plan, prepare and adjust the operating status of the boiler in advance to adapt to future changes in steam consumption demand, avoiding the supply and demand imbalance problem caused by response lag, and helping to improve the operating efficiency and economy of the boiler and reduce operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0053] Figure 2 This is a flow chart of the coordinated control method of the main tube boiler of the present invention;

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

[0055] In the figure: 1-processor; 2-memory; 3-I / O interface; 4-communication component; 5-communication bus;

[0056] The following is a detailed description of the embodiments of the present invention with reference to the accompanying drawings. DETAILED DESCRIPTION

[0057] The present invention will be further described below in conjunction with embodiments:

[0058] like Figure 1 As shown, a mother pipe-boiler coordinated control system includes a mother pipe, and the mother pipe is connected to a plurality of sub-pipes for providing steam, and each sub-pipe is connected to a corresponding boiler. In the transmission of the steam system, the mother pipe and the sub-pipes are important parts of the pipeline network, and each has different functions and roles. The mother pipe is the main transmission pipeline that runs through the entire steam system, and the sub-pipe is a pipeline that is drawn from the corresponding boiler and connected to the mother pipe, and is used to transport the steam generated by the corresponding boiler to the mother pipe.

[0059] The main pipe boiler coordinated control system 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 to the mother pipe and is used to obtain the real-time pressure of the mother pipe and calculate the deviation between the real-time pressure and the preset pressure value of the mother pipe;

[0061] A flow control module, connected to the main pipe, and used for obtaining the first steam flow corresponding to each sub-pipe based on the deviation value;

[0062] A boiler control module, connected to the sub-pipes correspondingly, for obtaining a target boiler fuel amount based on the first steam flow rate;

[0063] The combustion control module is connected to the sub-pipe and is used to adjust the boiler load parameter corresponding to the combustion control module based on the target boiler fuel amount. The boiler load parameter is a parameter that characterizes the influence on the steam generation amount of the sub-pipe.

[0064] The boiler fuel quantity can be one or both of coal and natural gas. The boiler load parameters can include the coal feeder speed and / or the gas valve opening. The coal feeder speed is the rotation speed of the coal feeder, which is used to adjust the coal feed amount of the coal feeder so that the boiler meets the fuel demand. The gas valve opening refers to the actual opening size of the natural gas valve when it is in use, which is used to determine the flow rate of natural gas through the valve. By changing the gas valve opening, the amount of gas entering the boiler can be accurately controlled, thereby adjusting the combustion intensity of the boiler so that the boiler meets the fuel demand.

[0065] When the steam flow required by external steam users increases or decreases, the real-time pressure of the mother pipe will inevitably decrease or increase accordingly because the boiler combustion is maintained at the equilibrium value before the flow adjustment. The pressure control module calculates the deviation between the real-time pressure and the preset pressure value, and 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 amount according to the steam flow, and adjusting the boiler load parameters to generate the corresponding steam flow, so as to achieve stable pressure control of the mother pipe, and the mother pipe reaches a pressure balance state, which improves the automation level and operation efficiency of the mother pipe boiler coordinated control system, reduces safety hazards and production costs, and realizes precise control and rapid response of the steam pressure of the boiler mother pipe.

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

[0067] The boiler control module includes a sub-PID sub-module. For each sub-pipe, the sub-PID sub-module is used to calculate the target boiler fuel amount based on the preset second PID algorithm; the output of the sub-PID sub-module is the target boiler fuel amount of the corresponding sub-pipe, and is sent to the combustion control module, through which the coal feeder speed or gas valve opening is adjusted. The sub-PID sub-module further calculates the corresponding target boiler fuel amount based on the target steam flow of each sub-pipe. The precise control of the sub-PID sub-module helps to achieve efficient combustion and stable output of the boiler.

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

[0069] The sub-PID submodule includes a first acquisition submodule and a bias submodule. For each sub-pipe, the first acquisition submodule is used to obtain the bias information corresponding to the sub-pipe; the bias submodule is used to introduce the first steam flow into the bias information, generate a second steam flow, and use the boiler fuel amount corresponding to the second steam flow as the target boiler fuel amount.

[0070] The auxiliary PID submodule adds certain bias information to the corresponding first steam flow, and the bias information may be a bias that can realize disturbance-free switching of states, or a bias that can realize separate adjustment of the output size of the sub-pipe according to actual needs.

[0071] Disturbance-free switching means that when the main tube boiler coordinated control system switches from one state to another, such as from automatic mode to manual mode, or from one operating point to another, the output of the main tube boiler coordinated control system can remain relatively stable to avoid large fluctuations or disturbances.

[0072] When the sub-PID submodule adds bias information to the first steam flow, it provides a "buffer" or "adjustment amount" for the mother tube boiler coordinated control system, so that when switching the control mode or adjusting the working point, the mother tube boiler coordinated control system can use the bias information to gradually transition to a new state instead of suddenly changing the control amount, thereby avoiding disturbances in the mother tube boiler coordinated control system caused by sudden changes in the control amount.

[0073] In the boiler system, each sub-pipe needs to adjust its output size according to actual needs, and the output size is directly related to the steam flow and boiler fuel amount. By adding bias information to the sub-PID sub-module, the main pipe boiler coordinated control system can more flexibly adjust the steam flow and corresponding boiler fuel amount of each sub-pipe, thereby achieving precise control of individual output.

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

[0075] The boiler operation information may include key performance indicators such as combustion efficiency, steam production, safety, etc. that are directly related to the boiler corresponding to the sub-pipe. For example, the boiler operation information may include sub-pipe steam flow, sub-pipe pressure, steam temperature, fuel consumption, feed water flow, furnace temperature and flue gas composition, wherein the sub-pipe steam flow is used to reflect the current amount of steam generated by 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 amount of fuel consumed by the boiler within a certain period of time, and is used to calculate the combustion efficiency and economy of the boiler, the feed water flow is the amount of water entering the boiler, which affects the steam production and the stability of the water circulation system, the furnace temperature is an important parameter reflecting the combustion conditions in the furnace, and the flue gas components include oxygen, carbon monoxide, nitrogen oxides, etc., which are used to monitor the completeness of the combustion process and the level of pollutants emitted.

[0076] The acquisition judgment submodule includes a second acquisition submodule, a cleaning submodule, a trend analysis submodule, a correlation analysis submodule, and an accurate judgment submodule;

[0077] A second acquisition submodule is used to acquire historical boiler operation information of the boiler operation, wherein the historical boiler operation information includes a timestamp and is used for time series analysis;

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

[0079] The trend analysis submodule is used to perform a separate trend analysis on each parameter in the historical boiler operation information to obtain a time-varying trend graph of each parameter in the historical boiler operation information;

[0080] The correlation analysis submodule is used to analyze the correlation information between multiple parameters in the historical boiler operation information based on the correlation coefficient statistical algorithm. The correlation information may include strong correlation and weak correlation. Strong correlation indicates that there is a close connection between these parameters, while weak correlation may indicate that the relationship between them is relatively loose. The specific criteria for dividing strong correlation and weak correlation may be based on actual conditions. For example, an increase in furnace temperature leads to an increase in steam temperature; an increase in fuel consumption leads to an increase in sub-pipe steam flow; an increase in sub-pipe steam flow is accompanied by an increase in fuel consumption; and fluctuations in sub-pipe pressure are related to the stability of feed water flow or fuel supply. The correlation coefficient statistical algorithm may be a Pearson correlation coefficient statistical algorithm.

[0081] The accuracy judgment submodule is used to judge whether each parameter in the current boiler operation information conforms to the change trend diagram, and whether the correlation between multiple parameters in the current boiler operation information conforms to the correlation information; if all conform, the current boiler operation information is accurate information; if there are parameters that do not conform to the change trend diagram and / or correlation information, the current boiler operation information is inaccurate information. When the current boiler operation information is accurate information, the offset information corresponding to the current boiler operation information can be obtained according to the preset correspondence between the boiler operation information and the offset information.

[0082] The steps to obtain and determine the submodule are as follows:

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

[0084] Based on the prediction simulation model, the predicted boiler operation information corresponding to the current moment is obtained, and based on the preset corresponding relationship between the boiler operation information and the bias information, the bias information corresponding to the predicted boiler operation information is queried, and the bias information is used as the bias information corresponding to the sub-tube at present;

[0085] By real-time monitoring of the changing trends and interrelationships of multiple parameters, potential detection anomalies can be discovered in a timely manner, and the bias information corresponding to the predicted boiler operation information can be used as the bias information corresponding to the sub-tube currently, thereby improving the accuracy of the bias information setting and reducing the impact of abnormal conditions in the boiler operation information.

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

[0087] For each boiler control module, an initial operation submodule is used for operating the sub-PID submodule with initial PID parameters when the sub-PID submodule is operated for the first time;

[0088] An update operation submodule is used to obtain updated PID parameters based on an adaptive algorithm when the sub-PID submodule is not running for the first time, and the sub-PID submodule runs with the updated PID parameters;

[0089] PID parameters can include Kp, Ki, 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 mother tube boiler coordinated control system, and the changes in the performance of the mother tube boiler coordinated control system are observed. The PID parameters are further fine-tuned according to the feedback results to obtain updated PID parameters, thereby achieving better control effects.

[0090] The abnormal verification submodule is used to verify the abnormal event when an abnormal event occurs in the system. The abnormal event is a parameter that indicates a change in the preset parameters of the system.

[0091] A submodule is defined to retrieve the optimal PID parameters corresponding to the abnormal event based on the online PID parameter library when the verification result is confirmed abnormality, and the auxiliary PID submodule is defined as the first operation, and the optimal PID parameters are used as the initial PID parameters. The online PID parameter library contains PID parameters corresponding to different abnormal events.

[0092] When the preset parameters change, the effect of fine-tuning the PID parameters through 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 event of an abnormal event. For example, the preset parameters may include parameters such as fuel quality and relevant combustion parameters of the boiler. When the combustion quality suddenly changes and / or the relevant combustion parameters are reset, an abnormal event occurs in the mother-pipe boiler coordinated control system.

[0093] Abnormal events usually cause system performance to significantly degrade or deviate from the expected range. Abnormal events in the system can be identified through data analysis such as statistical methods, machine learning models, etc. Once an abnormality is detected, the system can automatically trigger a confirmation verification mechanism to exclude false alarms and false positives. The verification process is achieved through multi-source data verification, expert rules or manual confirmation, where multi-source data verification can include multi-source data such as different sensor data and historical records.

[0094] After confirming the abnormality, the system retrieves the most appropriate and accurate PID operating parameters for the current abnormal event from an online PID parameter library. The online PID parameter library contains the optimal configuration information of PID parameters under different operating conditions and supports fast retrieval and matching. The retrieved optimal PID parameters are applied to the auxiliary PID submodule and the system response is monitored. If the system performance still does not return 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 runs and experience accumulates, 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 validity 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 main control boiler coordinated control system also includes a collection and processing module, a model prediction module, and a generation module.

[0097] The collection and processing module is used to collect the historical steam usage data corresponding to the main pipe and pre-process the historical steam usage data;

[0098] The model prediction module is used to train the prediction model based on the preprocessed historical steam usage data, and predict the future steam usage based on the trained prediction model to obtain the change trend of the steam usage;

[0099] The generation module is used to generate boiler adjustment preparation strategies based on the change trend.

[0100] Historical steam usage data is the basis for predicting the changing trend of steam usage, and can include steam usage records over a period of time, such as the past few days, weeks, or months. Preprocessing the collected historical steam usage data can include data cleaning to remove erroneous, duplicated, or abnormal data points, data conversion such as unit unification, missing value filling, and data standardization / normalization to better compare different data points in model training.

[0101] Extract features useful for steam usage prediction from the preprocessed historical steam usage data. Features useful for steam usage prediction may include historical steam usage, time-related derived variables such as date, month, season, etc., current values ​​and / or historical values ​​of relevant influencing factors, etc. Use all or part of the historical data as a training set to train the prediction model. Evaluate the prediction performance of the trained prediction model on an independent test set. Evaluate the accuracy and reliability of the prediction model by comparing the difference between the model's prediction results and the actual steam usage.

[0102] The trained prediction model is applied to this adjustment process. According to the change trend of steam consumption output by the prediction model, that is, the predicted value of steam consumption in the future, the corresponding boiler adjustment preparation strategy is formulated, such as adjusting fuel supply, optimizing production plan, maintaining boiler equipment, etc., to ensure the stability and adequacy of steam supply.

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

[0104] For example, the modules in the above system can be one or more integrated circuits configured to implement the corresponding method, such as: 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] For another example, when the modules in the system can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0106] In the present invention, various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The assigned names may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from the functions and technical effects embodied / executed in the technical scheme.

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

[0108] like Figure 2 As shown, a main tube boiler coordinated control method is performed using a main tube boiler coordinated control system, and the method is performed by equipment as the execution subject, and includes the following steps:

[0109] 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;

[0110] S2: based on the deviation value, obtaining the first steam flow rate corresponding to each sub-tube;

[0111] Based on a preset first PID algorithm, calculating each of the first steam flows corresponding to the deviation value;

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

[0113] For each sub-tube, the target boiler fuel quantity is calculated based on a preset second PID algorithm, including the following steps:

[0114] S31, for each sub-tube, obtaining bias information corresponding to the sub-tube;

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

[0116] S312: for each sub-tube, if the current boiler operation information is inaccurate information, obtain the predicted boiler operation information corresponding to the sub-tube, and determine the bias information based on the predicted boiler operation information;

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

[0118] If the second PID algorithm is running for the first time, the second PID algorithm runs with initial PID parameters;

[0119] If the second PID algorithm is not running for the first time, then based on the adaptive algorithm, updated PID parameters are obtained, and the second PID algorithm runs with the updated PID parameters;

[0120] If an abnormal event is identified in the system, the abnormal event is verified, and the abnormal event is a parameter that indicates a change in the preset parameters of the system;

[0121] If the verification result is confirmed abnormality, the optimal PID parameters corresponding to the abnormal event are retrieved based on the 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. The online PID parameter library contains PID parameters corresponding to different abnormal events.

[0122] S4: for each sub-tube, based on the target boiler fuel amount, adjusting the boiler load parameter corresponding to the combustion control module, where the boiler load parameter is a parameter that characterizes the influence on the steam generation amount of the sub-tube;

[0123] S5. Collect historical steam usage data corresponding to the main pipe and pre-process the historical steam usage data;

[0124] S6. Based on the preprocessed historical steam usage data, a prediction model is trained, and future steam usage is predicted based on the trained prediction model to obtain a change trend of steam usage;

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

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

[0127] Specifically, Figure 3 As shown, the device is an electronic device, including a processor 1, a memory 2, an I / O interface 3, a communication component 4, and a communication bus 5. The processor 1 is coupled to 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 tube boiler coordinated control method.

[0128] The memory 2 is used to store various types of data to support operations on the electronic device, which data may include, for example, instructions for any application or method used to operate on the electronic device, as well as application-related data; the memory may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as 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. One or more.

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

[0130] The communication component 4 is used for wired or wireless communication between the electronic device and other devices, wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or one or a combination of several thereof, so the corresponding communication component 4 may include: Wi-Fi component, Bluetooth component, 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 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 5 may be divided into an address bus, a data bus, a control bus, etc.

[0132] The electronic device may be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the mother tube boiler coordinated control method given in the above embodiment.

[0133] The electronic device may include but is not limited to mobile terminals such as digital broadcast receivers, PDA personal digital assistants, PMP portable multimedia players, etc., and fixed terminals such as digital TVs, desktop computers, etc., and may also be servers, etc.

[0134] Specifically, the device is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the mother-pipe boiler coordinated control method are implemented. The computer-readable storage medium may 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, and other media that can store program codes.

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

[0136] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0137] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection, an electrical connection, or communication with each other; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0138] The above is an exemplary description of the present invention. Obviously, the specific implementation of the present invention is not limited to the above-mentioned method. As long as various improvements are made using the method concept and technical solution of the present invention, or they are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A main pipe boiler coordinated control system, comprising a main pipe, the main pipe is connected to a plurality of sub-pipes for providing steam, each sub-pipe is connected to a corresponding boiler, characterized in that: The main control boiler coordinated control system 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; The pressure control module is connected to the mother pipe and is used to obtain the real-time pressure of the mother pipe and calculate the deviation between the real-time pressure and the preset pressure value of the mother pipe; A flow control module, connected to the main pipe, and used for obtaining the first steam flow corresponding to each sub-pipe based on the deviation value; A boiler control module, connected to the sub-pipes correspondingly, for obtaining a target boiler fuel amount based on the first steam flow rate; A combustion control module is connected to the sub-tube and is used to adjust the boiler load parameter corresponding to the combustion control module based on the target boiler fuel quantity, where the boiler load parameter is a parameter that characterizes the influence on the steam generation quantity of the sub-tube; The collection and processing module is used to collect the historical steam usage data corresponding to the main pipe and pre-process the historical steam usage data; The model prediction module is used to train the prediction model based on the preprocessed historical steam usage data, and predict the future steam usage based on the trained prediction model to obtain the change trend of the steam usage; The generation module is used to generate boiler adjustment preparation strategies based on the change trend.

2. A bus-pipe boiler coordinated control system according to claim 1, characterized in that: The flow control module includes a main PID submodule, which is used to calculate a first steam flow of each sub-pipe corresponding to the deviation value based on a preset first PID algorithm.

3. A bus-pipe boiler coordinated control system according to claim 2, characterized in that: The boiler control module includes a sub-PID sub-module. For each sub-pipe, the sub-PID sub-module is used to calculate a target boiler fuel amount based on a preset second PID algorithm.

4. A bus-pipe boiler coordinated control system according to claim 3, characterized in that: The secondary PID submodule includes a first acquisition submodule and a bias submodule. For each sub-pipe, the first acquisition submodule is used to acquire the bias information corresponding to the sub-pipe; The bias submodule is used to introduce the first steam flow into the bias information, generate the second steam flow, and use the boiler fuel amount corresponding to the second steam flow as the target boiler fuel amount.

5. A bus-pipe boiler coordinated control system according to claim 4, characterized in that: The first acquisition submodule includes an acquisition judgment submodule and an acquisition determination submodule. For each sub-tube, the acquisition judgment submodule is used to obtain the current boiler operation information corresponding to the sub-tube in real time and determine the accuracy of the current boiler operation information; The acquisition and determination submodule is used to acquire the predicted boiler operation information corresponding to the sub-tube when the current boiler operation information is inaccurate information, and determine the bias information based on the predicted boiler operation information.

6. A bus-pipe boiler coordinated control system according to claim 5, characterized in that: The acquisition judgment submodule includes a second acquisition submodule, a cleaning submodule, a trend analysis submodule, a correlation analysis submodule, and an accurate judgment submodule; A second acquisition submodule is used to acquire historical boiler operation information of the boiler operation, wherein the historical boiler operation information includes a timestamp and is used for time series analysis; The cleaning submodule is used to clean the historical boiler operation information to remove noise and duplicate values; The trend analysis submodule is used to perform a separate trend analysis on each parameter in the historical boiler operation information to obtain a time-varying trend graph of each parameter in the historical boiler operation information; A correlation analysis submodule is used to analyze the correlation information between multiple parameters in the historical boiler operation information based on a correlation coefficient statistical algorithm; The accuracy judgment submodule is used to judge whether each parameter in the current boiler operation information conforms to the change trend diagram, and whether the correlation between multiple parameters in the current boiler operation information conforms to the correlation information; if all conform, the current boiler operation information is accurate information; If there are parameters that do not conform to the change trend graph and / or correlation information, the current boiler operation information is inaccurate information.

7. A bus-pipe boiler coordinated control system according to claim 6, characterized in that: The boiler control module also includes an initial operation submodule, an update operation submodule, an abnormal verification submodule, and a definition submodule. For each boiler control module, the initial operation submodule is used to operate the secondary PID submodule with initial PID parameters when the secondary PID submodule is operated for the first time; An update operation submodule is used to obtain updated PID parameters based on an adaptive algorithm when the sub-PID submodule is not running for the first time, and the sub-PID submodule runs with the updated PID parameters; The abnormal verification submodule is used to verify the abnormal event when an abnormal event occurs in the system. The abnormal event is a parameter that indicates a change in the preset parameters of the system. A submodule is defined to retrieve the optimal PID parameters corresponding to the abnormal event based on the online PID parameter library when the verification result is confirmed abnormality, and the auxiliary PID submodule is defined as the first operation, and the optimal PID parameters are used as the initial PID parameters. The online PID parameter library contains PID parameters corresponding to different abnormal events.

8. A coordinated control method for a main tube boiler, characterized in that: The method is carried out using a mother tube boiler coordinated control system as claimed in claim 7, and the method is performed by the device as the execution subject, and comprises the following steps: 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; S2: based on the deviation value, obtaining the first steam flow rate corresponding to each sub-tube; Based on a preset first PID algorithm, calculating each of the first steam flows corresponding to the deviation value; S3: for each sub-tube, obtaining a target boiler fuel amount based on the first steam flow rate; For each sub-tube, the target boiler fuel quantity is calculated based on a preset second PID algorithm, including the following steps: S31, for each sub-tube, obtaining bias information corresponding to the sub-tube; S311, for each sub-pipe, obtaining the current boiler operation information corresponding to the sub-pipe in real time, and determining the accuracy of the current boiler operation information; S312: for each sub-tube, if the current boiler operation information is inaccurate information, obtain the predicted boiler operation information corresponding to the sub-tube, and determine the bias information based on the predicted boiler operation information; S32, for each sub-pipe, introducing the first steam flow into the bias information to generate a second steam flow, and taking the 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, then based on the adaptive algorithm, updated PID parameters are obtained, and the second PID algorithm runs with the updated PID parameters; If an abnormal event is identified in the system, the abnormal event is verified, and the abnormal event is a parameter that indicates a change in the preset parameters of the system; If the verification result is confirmed abnormality, the optimal PID parameters corresponding to the abnormal event are retrieved based on the 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. The online PID parameter library contains PID parameters corresponding to different abnormal events; S4: for each sub-tube, based on the target boiler fuel amount, adjusting the boiler load parameter corresponding to the combustion control module, where the boiler load parameter is a parameter that characterizes the influence on the steam generation amount of the sub-tube; S5: collecting historical steam usage data corresponding to the main pipe, and preprocessing the historical steam usage data; S6: Based on the preprocessed historical steam usage data, a prediction model is trained, and future steam usage is predicted based on the trained prediction model to obtain a change trend of steam usage; S7: Generate a boiler adjustment preparation strategy based on the change trend.

9. A coordinated control method for bus-pipe boilers according to claim 8, characterized in that: The device is an electronic device, comprising a processor (1), a memory (2), an I / O interface (3), a communication component (4), and a communication bus (5). The processor (1) is coupled to 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 mother tube boiler coordinated 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).

10. A coordinated control method for bus-pipe boilers according to claim 8, characterized in that: The device is a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the mother tube boiler coordinated control method are implemented.

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