A prediction method for the movement trajectory of combined jets in a tangentially fired boiler

Abstract

The present invention provides a method for predicting the movement trajectory of combined jets in a tangentially fired boiler, which relates to the technical field of trajectory prediction and includes: obtaining the real-time operation data of the tangentially fired boiler and performing data processing to obtain the first operation data; obtaining an initial jet trajectory prediction model based on the operation data of the tangentially fired boiler in the previous operation cycle and the historical jet trajectories; performing model optimization based on the historical operation data of the tangentially fired boiler and the corresponding historical jet trajectories to obtain the first jet trajectory prediction model; obtaining the real-time predicted jet trajectory based on the first operation data, thereby obtaining a three-dimensional predicted jet trajectory image, and adjusting the jet trajectory of the tangentially fired boiler. By performing combined analysis on the operation data of the tangentially fired boiler in the previous operation cycle and the corresponding jet trajectories, an initial jet trajectory prediction model of the tangentially fired boiler can be obtained and optimized, so that the jet trajectory prediction model can be more accurate, thereby obtaining an accurate jet trajectory prediction image and improving the working efficiency of the boiler.

Description

Technical Field

[0001] The present invention relates to the technical field of trajectory prediction, and particularly to a method for predicting the movement trajectory of combined jets in a tangentially fired boiler. Background Art

[0002] At present, it is difficult to change the status and role of coal as the main energy source in China in the next quite long period. Thermal power generation is still the main force in the power generation industry in China, and pulverized coal boilers have always been the main type of thermal power units. The technology of high-efficiency coal-fired burners is the top priority for solving the stable and efficient combustion of large quantities of low-quality coal, low-pollution emissions, reducing furnace fouling, high-temperature corrosion, and improving the operation stability, reliability, and flexibility of units. The tangentially fired boiler is one of the important burners among them.

[0003] However, due to the complexity of the flow inside the tangential furnace, no practical theory applicable to predicting the jet trajectory of tangentially fired pulverized coal furnaces has been developed at home and abroad for many years. As a result, the jet design of boiler burners still mainly relies on similarity modeling tests.

[0004] Therefore, the present invention provides a method for predicting the movement trajectory of combined jets in a tangentially fired boiler. Summary of the Invention

[0005] The present invention provides a method for predicting the movement trajectory of combined jets in a tangentially fired boiler to solve the problems in the prior art of difficult judgment of complex combined jet trajectories and inaccurate trajectory prediction.

[0006] The present invention provides a method for predicting the movement trajectory of combined jets in a tangentially fired boiler, including:

[0007] Step 1: Obtain the real-time operation data of each device in the tangentially fired boiler, and perform data processing on the real-time operation data to obtain first operation data;

[0008] Step 2: Obtain an initial jet trajectory prediction model of the tangentially fired boiler based on the operation data of the tangentially fired boiler in the previous operation cycle and the historical jet trajectories;

[0009] Step 3: Optimize the initial jet trajectory prediction model based on the historical operation data of the tangentially fired boiler and the corresponding historical jet trajectories to obtain a first jet trajectory prediction model;

[0010] Step 4: Input the first operation data into the first jet trajectory prediction model to obtain the real-time predicted jet trajectory of the tangentially fired boiler, and perform a three-dimensional predicted jet trajectory image based on a preset three-dimensional display device, so as to adjust the jet trajectory of the tangentially fired boiler based on a preset jet trajectory requirement.

[0011] According to the present invention, obtaining the real-time operation data of each device in the tangentially fired boiler and performing data processing on the real-time operation data to obtain first operation data includes:

[0012] Step 11: Obtain the real-time operation data of each device in the tangential circle boiler, and classify the real-time operation data according to different devices to obtain the first classified operation data;

[0013] Step 12: Obtain the device types of the tangential circle boiler related to the combined jet, and extract the first classified operation sub-data of the corresponding device types from the first classified operation data to obtain the second classified operation data;

[0014] Step 13: Clean and transform the second classified operation data to obtain the first operation data.

[0015] According to the initial jet trajectory prediction model of the tangential circle boiler provided by the present invention based on the operation data in the previous operation cycle and the historical jet trajectories, it includes:

[0016] Step 21: Obtain the operation data of the tangential circle boiler in the previous operation cycle, and obtain the set of historical jet trajectories collected at each operation moment in the previous operation cycle;

[0017] Step 22: Classify the set of historical jet trajectories based on different jet devices to obtain the first set of historical jet trajectories;

[0018] Step 23: Obtain the historical jet trajectories of the same jet device in the previous operation cycle, and sort them based on the time sequence of the historical jet trajectories to determine the first comprehensive trajectory of the jet motion of the current jet device;

[0019] Step 24: Perform a first prediction on the jet trajectory based on the jet angle and jet intensity of the jet motion of the current jet device to obtain the first predicted trajectory;

[0020] Step 25: Obtain the jet devices at the same level as the current jet device in the tangential circle boiler and the second set of historical jet trajectories of each jet device in the previous operation cycle;

[0021] Step 26: Determine the influence degree and influence result of each second historical jet trajectory in the second set of historical jet trajectories on the first comprehensive trajectory, and eliminate the influence result based on the first comprehensive trajectory to obtain the second comprehensive trajectory;

[0022] Step 27: Compare the trajectory differences between the first predicted trajectory and the second comprehensive trajectory to adjust the first prediction method to obtain the second prediction method;

[0023] Step 28: Optimize the second prediction method based on the influence degree of each second historical jet trajectory in the second historical jet trajectory set on the first comprehensive trajectory to obtain the first-level prediction model of the jet device at the current level, so as to obtain the first-level prediction model of each jet device within the current jet level;

[0024] Step 29: Determine the first-level prediction model of each level in the tangential circle boiler to obtain the first jet trajectory model set;

[0025] Step 210: Determine the first distance between the jet levels in the tangential circle boiler, and adjust the first jet trajectory model set based on the first distance to obtain the initial jet trajectory prediction model of the tangential circle boiler.

[0026] According to the present invention, determining the first distance between the jet levels in the tangential circle boiler and adjusting the first jet trajectory model set based on the first distance includes:

[0027] Obtain the first distance between the jet levels in the tangential circle boiler, and determine whether the first distance is less than the minimum influence distance;

[0028] If the first distance is not less than the minimum influence distance, it is determined that there is no jet influence between the jet levels corresponding to the first distance;

[0029] On the contrary, based on the first distance, extract the second jet influence degree corresponding to the first distance from the distance-influence database, and adjust the corresponding first jet trajectory prediction model in the first jet trajectory model set based on the second jet influence degree.

[0030] According to the present invention, optimizing the initial jet trajectory prediction model based on the historical operation data of the tangential circle boiler and the corresponding historical jet trajectories to obtain the first jet trajectory prediction model includes:

[0031] Step 31: Obtain the historical operation data of the remaining historical operation cycles of the tangential circle boiler except the previous operation cycle to obtain the first historical operation data set;

[0032] Step 32: Compare the operation environment and operation status of each historical operation data in the first historical operation data set with the operation environment and operation status of the historical operation data in the previous operation cycle for the first similarity;

[0033] Step 33: Sort according to the first similarity, and extract the historical operation data with the first similarity higher than the preset minimum similarity to obtain the second historical operation data set, and obtain the second historical operation data and the corresponding historical jet trajectories to obtain the first adjustment data set;

[0034] Step 34: Determine the influence weight of each piece of historical operation data based on the first similarity, and optimize the initial jet trajectory prediction model based on the influence weight corresponding to each piece of historical operation data to obtain the first jet trajectory prediction model.

[0035] Determining the first similarity according to the present invention includes:

[0036] Compare each sub-environment parameter of the operating environment of each piece of historical operation data in the first set of historical operation data with the operating environment of the previous operating cycle, so as to determine the environmental similarity between the operating environment of each piece of historical operation data and the operating environment of the previous operating cycle;

[0037] Determine the state similarity between the operating state of each piece of historical operation data and the operating state of the previous operating cycle;

[0038] Based on the historical operating conditions of the tangentially fired boiler, determine the influence degrees of the operating environment and the operating state on the jet flow activities of the tangentially fired boiler respectively, so as to obtain the first similarity weight and the second similarity weight of the operating environment and the operating state;

[0039] Comprehensively determine the first similarity between each piece of historical operation data and the operating environment and operating state of the previous operating cycle by combining the first similarity weight and the second similarity weight.

[0040] According to the present invention, inputting the first operation data into the first jet trajectory prediction model to obtain the real-time predicted jet trajectory of the tangentially fired boiler, and based on a preset three-dimensional display device to perform a three-dimensional predicted jet trajectory image, includes:

[0041] Step 41: Input the first operation data into the first jet trajectory prediction model to obtain a set of real-time predicted jet trajectories of the tangentially fired boiler;

[0042] Step 42: Classify the real-time predicted jet trajectories in the set of real-time predicted jet trajectories according to different jet levels and jet devices in the set of real-time predicted jet trajectories;

[0043] Step 43: Determine the relative orientation of each real-time predicted jet trajectory based on the hierarchical order and the relative position of the jet device in the tangentially fired boiler;

[0044] Step 44: Based on the preset three-dimensional display device and in combination with the relative orientation of each real-time predicted jet trajectory, obtain a three-dimensional predicted jet trajectory image.

[0045] According to the present invention, adjusting the jet trajectory of the tangentially fired boiler based on a preset jet trajectory requirement includes:

[0046] Obtain the jet trajectory requirement of the tangentially fired boiler in the current operating state, and determine whether the three-dimensional predicted jet trajectory image meets the jet trajectory requirement;

[0047] If not satisfied, determine the jet equipment for which the three-dimensional predicted jet trajectory image does not meet the jet trajectory requirements, and adjust the jet angle and jet intensity of the corresponding jet equipment;

[0048] Otherwise, perform the jet movement of the tangential boiler based on the first operation data.

[0049] A method for predicting the combined jet movement trajectory of a tangential boiler provided by the present invention combines and analyzes the operation data and the corresponding jet trajectory of the tangential boiler in the previous operation cycle to obtain an initial jet trajectory prediction model of the tangential boiler, and optimizes the model according to the remaining historical operation data, which can make the jet trajectory prediction model more accurate, thereby obtaining a precise jet trajectory prediction image, performing more precise jet adjustment, and improving the boiler operation efficiency. Description of the Drawings

[0050] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0051] Figure 1 is a flowchart of a method for predicting the combined jet movement trajectory of a tangential boiler provided by an embodiment of the present invention;

[0052] Figure 2 is a flowchart of obtaining the first jet trajectory prediction model provided by an embodiment of the present invention. Detailed Embodiment

[0053] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention with reference to the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0054] Embodiment 1:

[0055] An embodiment of the present invention provides a method for predicting the combined jet movement trajectory of a tangential boiler, as Figure 1 shown, including:

[0056] Step 1: Obtain the real-time operation data of each device in the tangential boiler, and perform data processing on the real-time operation data to obtain the first operation data;

[0057] Step 2: Obtain the initial jet trajectory prediction model of the tangential circle boiler based on the operation data of the tangential circle boiler in the previous operation cycle and the historical jet trajectories.

[0058] Step 3: Optimize the initial jet trajectory prediction model based on the historical operation data of the tangential circle boiler and the corresponding historical jet trajectories to obtain the first jet trajectory prediction model.

[0059] Step 4: Input the first operation data into the first jet trajectory prediction model to obtain the real-time predicted jet trajectory of the tangential circle boiler, and generate a three-dimensional predicted jet trajectory image based on a preset three-dimensional display device, so as to adjust the jet trajectory of the tangential circle boiler based on the preset jet trajectory requirements.

[0060] In this embodiment, the real-time operation data includes: data such as steam parameters, reheat steam parameters, feed water temperature, combustion parameters, combustion stability, and tangential circle size. The real-time operation data may vary due to factors such as the type of tangential circle boiler, fuel type, and operation conditions.

[0061] In this embodiment, data processing refers to performing data cleaning, data conversion, and data standardization processing on the real-time operation data, etc.

[0062] In this embodiment, the first operation data refers to the operation data corresponding to the equipment of the tangential circle boiler related to the jet that is extracted and combined after performing data processing on the real-time operation data.

[0063] In this embodiment, the historical jet trajectory refers to the jet trajectory of each jet device of the tangential circle boiler during historical operation, and the historical jet trajectory is not unique.

[0064] In this embodiment, the initial jet trajectory prediction model refers to the initial jet trajectory prediction model constructed by using the operation data of the previous operation cycle as input data and the corresponding historical jet trajectories as output data.

[0065] In this embodiment, the historical operation data and the corresponding historical jet trajectories are the historical operation data and the corresponding historical jet trajectories except for the operation data of the previous operation cycle and the historical jet trajectories.

[0066] In this embodiment, the first jet trajectory prediction model refers to the trajectory prediction model obtained by optimizing the initial jet trajectory prediction model according to the historical operation data and the corresponding historical jet trajectories.

[0067] In this embodiment, the real-time predicted jet trajectory refers to the predicted jet trajectory obtained by inputting the first operation data into the first jet trajectory prediction model.

[0068] In this embodiment, the three-dimensional predicted jet trajectory image refers to a three-dimensional image obtained by arranging the real-time predicted jet trajectory according to the relative orientation of the corresponding equipment and displaying the trajectory according to a preset three-dimensional display device.

[0069] In this embodiment, the jet trajectory requirement refers to the requirements such as the standard jet trajectory and jet intensity of a tangential firing boiler.

[0070] The beneficial effects of the above technical solution are as follows: By comprehensively analyzing the operation data of the tangential firing boiler in the previous operation cycle and the corresponding jet trajectory, an initial jet trajectory prediction model of the tangential firing boiler is obtained, and the model is optimized according to the remaining historical operation data, which can make the jet trajectory prediction model more accurate, so as to obtain a more accurate jet trajectory prediction image, perform more accurate jet adjustment, and improve the boiler operation efficiency.

[0071] Embodiment 2:

[0072] Based on Embodiment 1, the first operation data is obtained, including:

[0073] Step 11: Obtain the real-time operation data of each device in the tangential firing boiler, and classify the real-time operation data according to different devices to obtain the first classified operation data;

[0074] Step 12: Obtain the device types of the tangential firing boiler related to the combined jet, and extract the first classified operation sub-data of the corresponding device types from the first classified operation data to obtain the second classified operation data;

[0075] Step 13: Clean and transform the second classified operation data to obtain the first operation data.

[0076] In this embodiment, the real-time operation data includes: steam parameters, reheat steam parameters, feed water temperature, combustion parameters, combustion stability, and tangential circle size, etc. The real-time operation data may vary due to factors such as the model of the tangential firing boiler, fuel type, and operation conditions.

[0077] In this embodiment, the first classified operation data refers to the data obtained by classifying the real-time operation data according to different devices.

[0078] In this embodiment, the devices include burners, furnaces, flue ducts, steam pipes, fans, fuel nozzles, etc.

[0079] In this embodiment, the second classified operation data refers to the data obtained by extracting the first classified operation sub-data of the device types of the tangential firing boiler related to the combined jet from the first classified operation data. For example, the second classified operation data includes the operation data of burners, the operation data of fuel nozzles, the operation data of auxiliary air nozzles, the fan operation data of secondary fans, etc.

[0080] In this embodiment, the first operation data refers to the operation data corresponding to the equipment of the tangential boiler related to the combined jet extracted after processing the real-time operation data.

[0081] The beneficial effects of the above technical solution are as follows: By classifying and extracting the real-time operation data, the first operation data can be obtained, which can reduce the data processing volume and greatly improve the trajectory prediction efficiency at the same time.

[0082] Embodiment 3:

[0083] Based on Embodiment 2, an initial jet trajectory prediction model for the tangential boiler is obtained, including:

[0084] Step 21: Obtain the operation data of the tangential boiler in the previous operation cycle, and obtain the historical jet trajectory set collected at each operation moment in the previous operation cycle;

[0085] Step 22: Classify the historical jet trajectory set based on different jet devices to obtain the first historical jet trajectory set;

[0086] Step 23: Obtain the historical jet trajectories of the same jet device in the previous operation cycle, and sort them based on the time sequence of the historical jet trajectories, so as to determine the first comprehensive trajectory of the jet movement of the current jet device;

[0087] Step 24: Perform a first prediction on the jet trajectory based on the jet angle and jet intensity of the jet movement of the current jet device to obtain a first predicted trajectory;

[0088] Step 25: Obtain the jet devices in the tangential boiler that belong to the same level as the current jet device and the second historical jet trajectory set of each jet device in the previous operation cycle;

[0089] Step 26: Determine the influence degree and influence result of each second historical jet trajectory in the second historical jet trajectory set on the first comprehensive trajectory, and eliminate the influence result based on the first comprehensive trajectory to obtain a second comprehensive trajectory;

[0090] Step 27: Compare the trajectory differences between the first predicted trajectory and the second comprehensive trajectory to adjust the first prediction method to obtain a second prediction method;

[0091] Step 28: Optimize the second prediction method based on the influence degree of each second historical jet trajectory in the second historical jet trajectory set on the first comprehensive trajectory to obtain the first-level prediction model of the jet device at the current level, so as to obtain the first-level prediction model of each jet device in the current jet level;

[0092] Step 29: Determine the first-level prediction model for each level in the tangentially fired boiler to obtain the first jet trajectory model set;

[0093] Step 210: Determine the first distance between the jet levels in the tangentially fired boiler, and adjust the first jet trajectory model set based on the first distance to obtain the initial jet trajectory prediction model of the tangentially fired boiler.

[0094] In this embodiment, the historical jet trajectory set refers to the set of jet trajectories of all jet devices during the historical operation of the tangentially fired boiler.

[0095] In this embodiment, the first historical jet trajectory set is obtained by classifying the historical jet trajectory set based on different jet devices.

[0096] In this embodiment, the first comprehensive trajectory refers to determining the jet period, jet angle, and intensity according to the historical jet trajectory of the same jet device in the previous operation cycle, sorting the time sequence of the historical jet trajectories, and thus determining the jet trajectory of the jet device at each moment in the previous operation cycle.

[0097] In this embodiment, the first predicted trajectory refers to the predicted trajectory obtained by first predicting the jet trajectory according to the jet angle and jet intensity of the current jet device during jet movement, where the first predicted trajectory can be determined according to the parabola equation.

[0098] In this embodiment, the second historical jet trajectory set refers to the set of jet devices belonging to the same level as the current jet device and the jet trajectories of each jet device in the previous operation cycle.

[0099] In this embodiment, the second comprehensive trajectory refers to the comprehensive trajectory obtained by removing the influence results of all second historical jet trajectories on the first comprehensive trajectory from the first comprehensive trajectory.

[0100] In this embodiment, the second prediction method is the prediction method obtained by adjusting the first prediction method according to the trajectory difference between the first predicted trajectory and the second comprehensive trajectory, where the adjustment from the first prediction method to the second prediction method is achieved by adjusting relevant parameters.

[0101] In this embodiment, there is a set of first-level prediction models for each jet level of the tangentially fired boiler.

[0102] In this embodiment, the first jet trajectory model set refers to the model set of the first-level prediction models for all levels in the tangentially fired boiler.

[0103] In this embodiment, the first distance refers to the distance between the jet levels in the tangentially fired boiler.

[0104] In this embodiment, the initial jet trajectory prediction model refers to the initial jet trajectory prediction model constructed by using the operation data of the previous operation cycle as input data and the corresponding historical jet trajectory as output data.

[0105] The beneficial effect of the above technical solution is that by analyzing the jet motion of multiple levels and multiple devices of a tangential boiler, the initial jet trajectory prediction model of the tangential boiler can be obtained, which can make the trajectory prediction of the tangential boiler more accurate.

[0106] Embodiment 4:

[0107] Based on Embodiment 3, determine the first distance between each jet layer in the tangential boiler, and adjust the first jet trajectory model set based on the first distance, including:

[0108] Obtain the first distance between each jet layer in the tangential boiler, and determine whether the first distance is less than the minimum influence distance;

[0109] If the first distance is not less than the minimum influence distance, it is determined that there is no jet influence between the jet layers corresponding to the first distance;

[0110] On the contrary, based on the first distance, extract the second jet influence degree corresponding to the first distance from the distance-influence database, and adjust the corresponding first jet trajectory prediction model in the first jet trajectory model set based on the second jet influence degree.

[0111] In this embodiment, the first distance refers to the distance between each jet layer in the tangential boiler.

[0112] In this embodiment, the minimum influence distance refers to the minimum distance at which there is no jet influence between each jet layer of the same tangential boiler. The minimum influence distance is different according to the type, size and tangential circle of the tangential boiler.

[0113] In this embodiment, the second jet influence degree refers to the jet influence degree corresponding to the first distance extracted from the distance-influence database, where the value range of the second jet influence degree is (0, 0.5).

[0114] The beneficial effect of the above technical solution is that by analyzing the distance between different layers of the tangential boiler, the first jet trajectory prediction model is adjusted, which can make the first jet trajectory prediction model more accurate, and thus can predict the jet trajectory more accurately.

[0115] Embodiment 5:

[0116] Based on Embodiment 3, the first jet trajectory prediction model is obtained, as Figure 2 shown, including:

[0117] Step 31: Obtain the historical operation data of the tangential boiler for the remaining historical operation cycles except the previous operation cycle, and obtain the first historical operation data set;

[0118] Step 32: Compare the first similarity between the operation environment and operation status of each historical operation data in the first historical operation data set and the historical operation environment and operation status of the previous operation cycle;

[0119] Step 33: Sort according to the first similarity, extract the historical operation data with the first similarity higher than the preset minimum similarity to obtain the second historical operation data set, and obtain the second historical operation data and the corresponding historical jet trajectory to obtain the first adjustment data set;

[0120] Step 34: Determine the influence weight of each historical operation data based on the first similarity, and optimize the initial jet trajectory prediction model based on the influence weight corresponding to each historical operation data to obtain the first jet trajectory prediction model.

[0121] In this embodiment, the first historical operation data set refers to the set of historical operation data of the tangential boiler for the remaining historical operation cycles except the previous operation cycle.

[0122] In this embodiment, the minimum similarity refers to the minimum similarity that affects the initial jet trajectory prediction model. The minimum similarity is determined according to the jet trajectory prediction accuracy of the tangential boiler. The value range of the minimum similarity is (0, 0.8).

[0123] In this embodiment, the second historical operation data set refers to the set composed of the historical operation data in the first historical operation data set with the first similarity greater than the minimum similarity.

[0124] In this embodiment, the first adjustment data set refers to the data set obtained by combining the historical jet trajectory corresponding to each second historical operation data in the second historical operation data set with the second historical operation data.

[0125] In this embodiment, the first jet trajectory prediction model refers to the trajectory prediction model obtained by optimizing the initial jet trajectory prediction model according to the historical operation data and the corresponding historical jet trajectory.

[0126] The beneficial effect of the above technical solution is that by optimizing the initial jet trajectory prediction model, the obtained first jet trajectory prediction model can be made more accurate, so as to obtain a more accurate jet trajectory prediction result, thereby realizing precise adjustment and improving the working efficiency of the tangential boiler.

[0127] Embodiment 6:

[0128] Based on Embodiment 5, determining the first similarity includes:

[0129] Compare each sub-environment parameter of the operating environment of each historical operation data in the first historical operation data set with the operating environment of the previous operation cycle, so as to determine the environmental similarity between the operating environment of each historical operation data and the operating environment of the previous operation cycle;

[0130] Determine the state similarity between the operating state environment of each historical operation data and the operating state of the previous operation cycle;

[0131] Based on the historical operating conditions of the tangential boiler, determine the influence degrees of the operating environment and the operating state on the jet flow activity of the tangential boiler respectively, so as to obtain the first similarity weight and the second similarity weight of the operating environment and the operating state;

[0132] Combined with the first similarity weight and the second similarity weight, comprehensively determine the first similarity between each historical operation data and the operating environment and the operating state of the previous operation cycle.

[0133] In this embodiment, the environmental similarity refers to the similarity between the operating environment of each historical operation data and the operating environment of the previous operation cycle, where the operating environment includes multiple environmental parameters, such as: environmental parameters temperature, humidity, pressure and other parameters.

[0134] In this embodiment, the state similarity refers to the similarity between the operating state of each historical operation data and the operating state of the previous operation cycle, where the operating state includes multiple state parameters, for example, the state parameters include flow state, oxygen content state, combustion efficiency, etc.

[0135] In this embodiment, the first similarity weight and the second similarity weight are determined according to the influence degrees of the operating environment and the operating state on the jet flow activity of the tangential boiler determined based on the historical operating conditions of the tangential boiler, where the first similarity weight corresponds to the similarity weight of the operating environment, the second similarity weight corresponds to the similarity weight of the operating state, and the first similarity weight is less than the second similarity weight.

[0136] The beneficial effects of the above technical solution are: By determining the similarities between the operating environments and operating states of different historical operation data and the historical operating environments and operating states of the previous operation cycle, the initial jet trajectory model is weighted and adjusted, so that the initial jet trajectory model can more accurately achieve trajectory prediction.

[0137] Embodiment 7:

[0138] Based on Embodiment 5, perform three-dimensional predicted jet trajectory images based on a preset three-dimensional display device, including:

[0139] Step 41: Input the first operation data into the first jet trajectory prediction model to obtain a set of real-time predicted jet trajectories of the tangential boiler;

[0140] Step 42: Classify the real-time predicted jet trajectories in the real-time predicted jet trajectory set based on the jet levels in the real-time predicted jet trajectory set and the differences in jet devices.

[0141] Step 43: Determine the relative orientation of each real-time predicted jet trajectory based on the hierarchical order and the relative position of the jet device in the tangentially-fired boiler.

[0142] Step 44: Obtain a three-dimensional predicted jet trajectory image based on a preset three-dimensional display device in combination with the relative orientation of each real-time predicted jet trajectory.

[0143] In this embodiment, the real-time predicted jet trajectory refers to the predicted jet trajectory obtained after inputting the first operation data into the first jet trajectory prediction model.

[0144] In this embodiment, the three-dimensional predicted jet trajectory image refers to a three-dimensional image obtained by arranging the real-time predicted jet trajectories according to the relative orientation of the corresponding devices and displaying the trajectories according to the preset three-dimensional display device.

[0145] The beneficial effects of the above technical solution are as follows: By integrating the real-time predicted trajectories obtained from the jet trajectory prediction model, the relative orientation of each real-time predicted trajectory can be obtained, and thus a three-dimensional predicted jet trajectory image can be obtained, which can make the judgment of the jet trajectory more intuitive and accurate. [[ID=I8]]

[0146] Embodiment 8:

[0147] Based on Embodiment 7, adjust the jet trajectories of the tangentially-fired boiler based on preset jet trajectory requirements, including: [[ID=I4]]

[0148] Obtain the jet trajectory requirements of the tangentially-fired boiler in the current operating state, and determine whether the three-dimensional predicted jet trajectory image meets the jet trajectory requirements;

[0149] If not, determine the jet device for which the three-dimensional predicted jet trajectory image does not meet the jet trajectory requirements, and adjust the jet angle and jet intensity of the corresponding jet device;

[0150] Conversely, perform the jet movement of the tangentially-fired boiler based on the first operation data.

[0151] In this embodiment, the jet trajectory requirements refer to the requirements such as the standard jet trajectory and jet intensity of the tangentially-fired boiler.

[0152] The beneficial effects of the above technical solution are as follows: By adjusting the jet trajectories of the tangentially-fired boiler based on preset jet trajectory requirements, the adjustment of the jet trajectories can be made more accurate, thereby improving the working efficiency of the tangentially-fired boiler.

[0153] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A prediction method for the movement trajectory of combined jets in a tangentially fired boiler, characterized in that Including: Step 1: Obtain the real-time operation data of each device in the tangential circle boiler, and perform data processing on the real-time operation data to obtain the first operation data; Step 2: Based on the operation data of the tangential circle boiler in the previous operation cycle and the historical jet trajectory, obtain the initial jet trajectory prediction model of the tangential circle boiler; Step 3: Optimize the initial jet trajectory prediction model based on the historical operation data of the tangential circle boiler and the corresponding historical jet trajectory to obtain the first jet trajectory prediction model; Step 4: Input the first operation data into the first jet trajectory prediction model to obtain the real-time predicted jet trajectory of the tangential circle boiler, and perform a three-dimensional predicted jet trajectory image based on a preset three-dimensional display device, so as to adjust the jet trajectory of the tangential circle boiler based on the preset jet trajectory requirements; Among them, Step 2 includes: Step 21: Obtain the operation data of the tangential circle boiler in the previous operation cycle, and obtain the set of historical jet trajectories collected at each operation moment in the previous operation cycle; Step 22: Classify the set of historical jet trajectories based on different jet devices to obtain the first set of historical jet trajectories; Step 23: Obtain the historical jet trajectory of the same jet device in the previous operation cycle, and sort it based on the time sequence of the historical jet trajectory, so as to determine the first comprehensive trajectory of the jet movement of the current jet device; Step 24: Perform a first prediction on the jet trajectory based on the jet angle and jet intensity of the jet movement of the current jet device to obtain the first predicted trajectory; Step 25: Obtain the jet devices in the tangential circle boiler that belong to the same level as the current jet device and the set of second historical jet trajectories of each jet device in the previous operation cycle; Step 26: Determine the influence degree and influence result of each second historical jet trajectory in the set of second historical jet trajectories on the first comprehensive trajectory, and eliminate the influence result based on the first comprehensive trajectory to obtain the second comprehensive trajectory; Step 27: Compare the trajectory differences between the first predicted trajectory and the second comprehensive trajectory to adjust the first prediction method to obtain the second prediction method; Step 28: Optimize the second prediction method based on the influence degree of each second historical jet trajectory in the set of second historical jet trajectories on the first comprehensive trajectory to obtain the first-level prediction model of the jet device at the current level, so as to obtain the first-level prediction model of each jet device in the current jet level; Step 29: Determine the first-level prediction model of each level in the tangential circle boiler to obtain the first set of jet trajectory models; Step 210: Determine the first distance between each jet level in the tangential circle boiler, and adjust the first set of jet trajectory models based on the first distance to obtain the initial jet trajectory prediction model of the tangential circle boiler.

2. A method for predicting the movement trajectory of combined jets in a tangentially fired boiler according to claim 1, characterized in that, Obtain the real-time operation data of each device in the tangential circle boiler, and perform data processing on the real-time operation data to obtain the first operation data, including: Step 11: Obtain the real-time operation data of each device in the tangential circle boiler, and classify the real-time operation data according to different devices to obtain the first classified operation data; Step 12: Obtain the equipment type of the tangential boiler related to the combined jet, and extract the first-classified operation sub-data corresponding to the equipment type from the first-classified operation data to obtain the second-classified operation data; Step 13: Clean and transform the second-classified operation data to obtain the first operation data.

3. A method for predicting the movement trajectory of combined jets in a tangentially fired boiler according to claim 1, characterized in that, Determine the first distance between each jet layer in the tangential boiler, and adjust the first jet trajectory model set based on the first distance, including: Obtain the first distance between each jet layer in the tangential boiler, and determine whether the first distance is less than the minimum influence distance; If the first distance is not less than the minimum influence distance, it is determined that there is no jet influence between the jet layers corresponding to the first distance; Otherwise, extract the second jet influence degree corresponding to the first distance from the distance-influence database based on the first distance, and adjust the corresponding first jet trajectory prediction model in the first jet trajectory model set based on the second jet influence degree.

4. A prediction method for the movement trajectory of combined jets in a tangentially fired boiler according to claim 1, characterized in that, Optimize the initial jet trajectory prediction model based on the historical operation data of the tangential boiler and the corresponding historical jet trajectories to obtain the first jet trajectory prediction model, including: Step 31: Obtain the historical operation data of the remaining historical operation cycles of the tangential boiler except the previous operation cycle to obtain the first historical operation data set; Step 32: Compare the first similarity of the operation environment and operation status of each historical operation data in the first historical operation data set with the operation environment and operation status of the previous operation cycle; Step 33: Sort according to the first similarity, and extract the historical operation data with the first similarity higher than the preset minimum similarity to obtain the second historical operation data set, and obtain the second historical operation data and the corresponding historical jet trajectories to obtain the first adjustment data set; Step 34: Determine the influence weight of each historical operation data based on the first similarity, and optimize the initial jet trajectory prediction model based on the influence weight corresponding to each historical operation data to obtain the first jet trajectory prediction model.

5. A method for predicting the movement trajectory of a combined jet in a tangentially fired boiler according to claim 4, characterized in that, Determine the first similarity, including: Compare each sub-environment parameter of the operation environment of each historical operation data in the first historical operation data set with the operation environment of the previous operation cycle to determine the environment similarity of the operation environment of each historical operation data and the operation environment of the previous operation cycle; Determine the state similarity of the operation status of each historical operation data and the operation status of the previous operation cycle; Based on the historical operation conditions of the tangential boiler, determine the influence degrees of the operation environment and operation status on the jet activities of the tangential boiler respectively, so as to obtain the first similarity weight and the second similarity weight of the operation environment and operation status; Comprehensively determine the first similarity of the operation environment and operation status of each historical operation data and the previous operation cycle by combining the first similarity weight and the second similarity weight.

6. A prediction method for the movement trajectory of a combined jet in a tangentially fired boiler according to claim 4, characterized in that, Input the first operation data into the first jet trajectory prediction model to obtain the real-time predicted jet trajectory of the tangential boiler, and perform a three-dimensional predicted jet trajectory image based on a preset three-dimensional display device, including: Step 41: Input the first operation data into the first jet trajectory prediction model to obtain the real-time predicted jet trajectory set of the tangential boiler; Step 42: Classify the real-time predicted jet trajectories in the real-time predicted jet trajectory set based on the jet levels and different jet devices in the set; Step 43: Determine the relative orientation of each real-time predicted jet trajectory based on the hierarchical order and the relative position of the jet device in the tangentially fired boiler; Step 44: Obtain the three-dimensional predicted jet trajectory image based on the preset three-dimensional display device in combination with the relative orientation of each real-time predicted jet trajectory.

7. A prediction method for the movement trajectory of a combined jet in a tangentially fired boiler according to claim 6, characterized in that, Adjust the jet trajectory of the tangentially fired boiler based on the preset jet trajectory requirements, including: Obtain the jet trajectory requirements of the tangentially fired boiler in the current operating state, and determine whether the three-dimensional predicted jet trajectory image meets the jet trajectory requirements; If not, determine the jet device for which the three-dimensional predicted jet trajectory image does not meet the jet trajectory requirements, and adjust the jet angle and jet intensity of the corresponding jet device; Otherwise, perform the jet movement of the tangentially fired boiler based on the first operating data.

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