Combustion field reconstruction method and system for industrial furnace

Abstract

The invention relates to the technical field of simulation reconstruction, and discloses a combustion field reconstruction method and system for an industrial furnace. Comprising the following steps: constructing a basic field of the industrial furnace, acquiring comprehensive combustion data, fusing the basic field and a data unit to construct a combustion field, acquiring real-time comprehensive combustion data of the industrial furnace after an updating period, identifying an updating area in the combustion field, performing data updating on the updating area, and generating an updated combustion field. Compared with the prior art, the multi-dimensional data fusion algorithm is utilized to construct the combustion field consistent with the combustion chamber of the industrial furnace, the accurate reconstruction simulation effect of multi-position and multi-dimensional data of the combustion chamber of the industrial furnace is achieved, and when the real-time combustion data of the combustion chamber of the industrial furnace changes, the real-time combustion data of the combustion chamber of the industrial furnace can be accurately reconstructed. The corresponding data in the combustion field can be updated and replaced timely and accurately, and consistency and accuracy of the reconstructed combustion field and the combustion chamber of the industrial furnace can be ensured.

Description

Technical Field

[0001] The present invention relates to the field of simulation reconstruction technology, and more specifically, to a combustion field reconstruction method and system for industrial furnaces. Background Art

[0002] Industrial furnaces are a general term for industrial furnaces and industrial kilns. Industrial furnaces are widely used in industrial production. During the operation of industrial furnaces, the accuracy of controlling the combustion chamber is crucial to improving the combustion efficiency and reducing pollutant emissions. Therefore, it is necessary to reconstruct the combustion state of the combustion chamber model and perform simulated monitoring of the combustion chamber through the combustion field.

[0003] The patent application with reference publication number CN112380738A discloses a cement rotary kiln combustion field reconstruction error compensation and optimization method, storage medium and system, including establishing a cement rotary kiln combustion field finite element model; obtaining temperature simulation data of the finite element model; obtaining the intrinsic relationship between the cement rotary kiln combustion efficiency and the operating variables and the combustion environment, and extracting characteristic parameter data related to the combustion efficiency; using the selected characteristic parameter data as the modeling parameter of the error compensation model; using an online optimization algorithm to perform online optimization on the cement rotary kiln combustion field reconstruction error compensation model, and combining actual production data to perform real-time correction on the simulation data; The existing combustion field reconstruction method constructs a combustion field similar to the combustion chamber by regularly collecting combustion data at a single point position of the industrial furnace combustion chamber. As in the above-mentioned patent application, it regularly optimizes the combustion field online through the rolling optimization concept and sliding window technology. However, the data source type and location for the online optimization of the combustion field are relatively single, and it is impossible to achieve real-time optimization effects of multi-position and multi-dimensional data, resulting in the limitations of the reconstructed combustion field, which cannot be kept consistent with the actual combustion state of the industrial furnace combustion chamber in real time, thereby reducing the accuracy and consistency of the reconstruction of the combustion field.

[0004] In view of this, the present invention proposes a combustion field reconstruction method and system for industrial furnaces to solve the above problems. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art and to achieve the above-mentioned purpose, the present invention provides the following technical solutions: A combustion field reconstruction method for an industrial furnace, applied to a reconstruction server, comprising: S1: Obtain the basic parameters of the industrial furnace, extract the basic features from the basic parameters, the basic features include length value, height value, width value and chamber wall scanning diagram, and construct the basic field of the industrial furnace based on the construction criteria; S2: Mark the sampling area in the industrial furnace and obtain the comprehensive combustion data of the industrial furnace in the sampling area. The comprehensive combustion data includes the combustion temperature value, oxygen concentration value and gas flow rate value; S3: Check the integrity of the comprehensive combustion data, divide the checked comprehensive combustion data into data units, and fuse the basic field and the data units to construct the combustion field; S4: obtaining update parameters of the industrial furnace, including the rated update time, the effective delay time and the flow area value, calculating the update cycle, obtaining the real-time comprehensive combustion data of the industrial furnace after the update cycle, and performing difference identification on the real-time comprehensive combustion data to determine whether there is difference data; S5: If there is difference data, an update area is identified in the combustion field, and data in the update area is updated to generate an updated combustion field.

[0006] Furthermore, the method for extracting the length value, the height value, the width value and the room wall scan image includes: Mark the library number information of all sub-libraries and the serial number information of industrial furnaces in the database one by one, record the sub-library whose library number information is consistent with the serial number information of the industrial furnace as the parameter library, and record the parameters in the parameter library as the basic parameters; The parameter semantics of the basic parameters are identified one by one through natural language processing technology, and the basic parameters whose parameter semantics are length, height and width are recorded as the first parameter, the second parameter and the third parameter respectively; The recording times of the first parameter, the second parameter and the third parameter are queried one by one through the timestamp, and all the recording times are numbered in ascending order according to the order of recording time; The first parameter, the second parameter and the third parameter corresponding to the maximum number are split into a text part and a numeric part, and the numeric parts of the first parameter, the second parameter and the third parameter are recorded as the length value, the height value and the width value respectively; The scanned image set of the last shooting moment is queried through the image management system, the annotation words of all sub-images in the scanned image set are marked one by one, and the sub-image with the annotation word "room wall" is recorded as the room wall scanned image.

[0007] Furthermore, the construction criterion is: first construct the outer structure of the basic field, then construct the inner structure of the basic field; The construction methods of the basic field include: A three-dimensional model with a hollow interior is simulated by using three-dimensional simulation technology, and the exposed part of the three-dimensional model is recorded as the first structure, and the hidden part of the three-dimensional model is recorded as the second structure; The length direction, height direction and width direction of the first structure are respectively adjusted to amplitudes consistent with the length value, height value and width value to form an outer layer structure; Simulate the wall scan on the second structure Figure 1 A consistent structure is formed to form an inner layer structure, and the three-dimensional model with the inner layer structure and the outer layer structure is recorded as the basic field.

[0008] Furthermore, the marking method of the sampling area includes: Mark the midpoints of the left inner wall, right inner wall, upper inner wall, lower inner wall, bottom inner wall and top inner wall in the base field respectively to obtain six base points; Compare the length, height and width of the basic field, and record one quarter of the minimum value after comparison as the sampling length; Six closed circular areas are drawn with the six base points as the center and the sampling length as the radius. The areas overlapping with the six circular areas are marked on the inner wall of the industrial furnace to obtain six sampling areas.

[0009] Further, the data unit includes a first data unit, a second data unit and a third data unit; The methods for constructing the combustion field include: The combustion temperature values, oxygen concentration values, and gas flow rate values ​​of the six sampling areas are summarized in sequence, and the summarized combustion temperature values, oxygen concentration values, and gas flow rate values ​​are arranged in sequence according to the order of collection time to generate a first data unit, a second data unit, and a third data unit; Three independent nodes are established in the six sampling areas of the basic field respectively, and six temperature nodes, six oxygen nodes and six airflow nodes are obtained; Import the combustion temperature value in the first data unit, the oxygen concentration value in the second data unit, and the gas flow rate value in the third data unit into six temperature nodes, six oxygen nodes, and six gas flow nodes respectively; The combustion temperature value, oxygen concentration value and gas flow rate value are multi-dimensionally fused with the basic field through a multi-dimensional data fusion algorithm to construct a combustion field.

[0010] Furthermore, the method for obtaining the effective delay duration includes: The combustion record events of the combustion chamber of the industrial furnace are queried through the database, the record status of the combustion record events is queried, and the combustion record events with correct record status are recorded as valid events. Valid events; Mark them one by one The recorded data in the valid events can be queried in sequence by timestamp The moment when the recorded data is first recorded, Recording moments; Query by timestamp The moment when the recorded data is successfully processed is obtained processing time; Will Record time to The time between the processing moments is recorded as the delay time, and The delay time is accumulated and averaged to obtain the effective delay time; The expression for the effective delay duration is: ; In the formula, is the effective delay time, For the Delay duration.

[0011] Furthermore, the method for obtaining the flow area value includes: Compare the length, height and width of the industrial furnace, and record the maximum value after comparison as the target value; Query the diagonal length of the combustion chamber of the industrial furnace through the technical parameter table and obtain the diagonal value; Compare the diagonal value with the target value to obtain the flow area value; The expression for the flow area value is: ; In the formula, is the flow area value, is the diagonal value, is the target value; The expression of the update period is: : In the formula, For the update cycle, is the rated update duration, , is a weight factor greater than 0.

[0012] Furthermore, the method for determining whether there is difference data includes: The combustion temperature value, oxygen concentration value and gas flow rate value in the combustion field are recorded as the constructed combustion temperature value, the constructed oxygen concentration value and the constructed gas flow rate value respectively; The real-time combustion temperature value, the real-time oxygen concentration value and the real-time gas flow rate value are respectively identified as different from the constructed combustion temperature value, the constructed oxygen concentration value and the constructed gas flow rate value; When the real-time combustion temperature value, the real-time oxygen concentration value, and the real-time gas flow rate value are respectively consistent with the constructed combustion temperature value, the constructed oxygen concentration value, and the constructed gas flow rate value, it is determined that there is no difference data; When the real-time combustion temperature value is inconsistent with the constructed combustion temperature value, it is determined that there is discrepancy data; When the real-time oxygen concentration value is inconsistent with the constructed oxygen concentration value, it is determined that there is discrepancy data; When the real-time gas flow rate value is inconsistent with the constructed gas flow rate value, it is determined that there is discrepancy data.

[0013] Furthermore, the updated combustion field generation method includes: Count all the difference data to obtain W difference data, and mark the sampling areas in the combustion field containing W difference data one by one, which are recorded as S update areas; Identify the nodes corresponding to the W difference data one by one in the S update areas to obtain W difference nodes; At the same time, W difference data in the combustion field are synchronously removed, and W replacement data corresponding to the W difference data in the real-time comprehensive combustion data are synchronously imported into the W difference nodes in the combustion field to generate an updated combustion field.

[0014] A combustion field reconstruction system for industrial furnaces, applied to a reconstruction server, for implementing a combustion field reconstruction method for industrial furnaces, comprising a first construction module, a data acquisition module, a second construction module, an identification and determination module, and an update and reconstruction module, wherein each module is connected via a wired or wireless network; The first construction module is used to obtain the basic parameters of the industrial furnace, extract the basic features from the basic parameters, the basic features include length value, height value, width value and chamber wall scanning diagram, and construct the basic field of the industrial furnace based on the construction criteria; A data acquisition module is used to mark a sampling area in an industrial furnace and obtain comprehensive combustion data of the industrial furnace in the sampling area. The comprehensive combustion data includes combustion temperature value, oxygen concentration value and gas flow rate value; The second construction module is used to check the integrity of the comprehensive combustion data, divide the checked comprehensive combustion data into data units, and fuse the basic field and the data units to construct the combustion field; The identification and determination module is used to obtain the update parameters of the industrial furnace, including the rated update time, the effective delay time and the flow area value, calculate the update cycle, obtain the real-time comprehensive combustion data of the industrial furnace after the update cycle, and perform difference identification on the real-time comprehensive combustion data to determine whether there is difference data; The update reconstruction module is used to identify the update area in the combustion field, and update the data of the update area to generate an updated combustion field.

[0015] The technical effects and advantages of the combustion field reconstruction method and system for industrial furnaces of the present invention are as follows: The present invention obtains basic parameters of the industrial furnace, extracts basic features from the basic parameters, and constructs a basic field of the industrial furnace based on construction criteria, marks a sampling area in the industrial furnace, obtains comprehensive combustion data of the industrial furnace in the sampling area, performs integrity check on the comprehensive combustion data, divides the checked comprehensive combustion data into data units, and fuses the basic field and the data units to construct a combustion field, obtains update parameters of the industrial furnace, calculates the update cycle, obtains real-time comprehensive combustion data of the industrial furnace after the update cycle, and performs difference recognition on the real-time comprehensive combustion data to determine whether there is difference data, identifies the update area in the combustion field, and updates the data in the update area to generate an updated combustion field; compared with the prior art, the present invention can comprehensively collect multi-dimensional combustion data of multiple different positions in the combustion chamber of the industrial furnace, and can collect comprehensive ... After the data integrity is checked, a multi-dimensional data fusion algorithm is used to construct a combustion field consistent with the industrial furnace combustion chamber, thereby achieving accurate reconstruction and simulation effects of multi-position and multi-dimensional data of the industrial furnace combustion chamber. At the same time, after calculating the update cycle, through comparative analysis of the real-time comprehensive combustion data after the update cycle, when the real-time combustion data of the industrial furnace combustion chamber changes, the corresponding data in the combustion field can be updated and replaced in a timely and accurate manner to ensure that the reconstructed combustion field can maintain consistency and accuracy with the industrial furnace combustion chamber, thereby avoiding the limitations brought by single-point position data collection in the industrial furnace combustion chamber, and avoiding the lag caused by untimely updating of the combustion field. It is also suitable for the combustion processes of various industrial furnaces, making it convenient for management and control personnel to carry out targeted optimization and control of industrial furnaces, which can play a positive role in improving combustion efficiency, reducing pollutant emissions and improving economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic flow chart of a combustion field reconstruction method for an industrial furnace provided in Embodiment 1 of the present invention; Figure 2 A schematic diagram of a module of a combustion field reconstruction system for an industrial furnace provided in the second embodiment of the present invention; Figure 3 A schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention; Figure 4 A schematic diagram of the structure of a computer-readable storage medium provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Example 1: Please refer to Figure 1 As shown, the combustion field reconstruction method for an industrial furnace described in this embodiment is applied to a reconstruction server, and includes: S1: Obtain the basic parameters of the industrial furnace, extract the basic features from the basic parameters, and construct the basic field of the industrial furnace based on the construction criteria; Basic parameters are parameters that can represent the basic hardware structure of industrial furnaces and serve as the most basic parameters for subsequent combustion field construction. Basic features are features in basic parameters that can provide a limiting basis for subsequent basic field construction to ensure the integrity and accuracy of basic field construction. The basic features include length value, height value, width value and chamber wall scan map; the length value, height value and width value refer to the length, height and width of the industrial furnace combustion chamber respectively, and the chamber wall scan map refers to the three-dimensional scan image of the inner wall of the industrial furnace combustion chamber; Methods for extracting length values, height values, width values ​​and room wall scans include: Mark the library number information of all sub-libraries and the serial number information of industrial furnaces in the database one by one, record the sub-library whose library number information is consistent with the serial number information of the industrial furnace as the parameter library, and record the parameters in the parameter library as the basic parameters; the sub-library refers to a data storage library that stores a large number of industrial furnace parameters, and the library number information refers to the serial number of the industrial furnace corresponding to each sub-library, so that the library number information and the serial number information of the industrial furnace can be correlated with each other, thereby providing a basis for the subsequent identification of basic parameters; The parameter semantics of the basic parameters are identified one by one through natural language processing technology, and the basic parameters with parameter semantics of length, height and width are recorded as the first parameter, the second parameter and the third parameter respectively; the parameter semantics is used to concisely express the true meaning of the basic parameters, so that the required basic features can be identified quickly and accurately; The recording times of the first parameter, the second parameter and the third parameter are queried one by one through the timestamp, and all the recording times are numbered in ascending order according to the order of recording time; The first parameter, the second parameter and the third parameter corresponding to the maximum number are split into a text part and a numeric part, and the numeric parts of the first parameter, the second parameter and the third parameter are recorded as length values, height values ​​and width values ​​respectively; the text part and the numeric part correspond to the text and numeric values ​​in the first parameter, the second parameter and the third parameter respectively, and the text part is used to define the numeric part, and the numeric part is used to express the text part numerically; The scanning image set of the last shooting moment is queried through the image management system, and the annotation words of all sub-images in the scanning image set are marked one by one, and the sub-image with the annotation word "room wall" is recorded as a room wall scanning image. The annotation word is used to indicate the type represented by the sub-image in the scanning image set and serves as a direct basis for judging the room wall scanning image.

[0019] After the basic features are obtained, a basic field that is consistent with the basic structure of the combustion chamber of the industrial furnace can be constructed based on the basic features, so that the basic field can serve as the basis for the subsequent reconstruction of the combustion field. In order to ensure that the construction of the basic field is accurate and reasonable, it is necessary to construct the basic field under the constraints of the construction criteria. The construction principle is: first construct the outer structure of the basic field, then construct the inner structure of the basic field; this can ensure that the basic field remains orderly during construction, while also improving the accuracy of the basic field construction and preventing the occurrence of disordered construction order; The construction methods of the basic field include: A three-dimensional model with a hollow interior is simulated by using three-dimensional simulation technology, and the exposed part of the three-dimensional model is recorded as the first structure, and the hidden part of the three-dimensional model is recorded as the second structure; The length direction, height direction and width direction of the first structure are respectively adjusted to amplitudes consistent with the length value, height value and width value to form an outer layer structure; Simulate the wall scan on the second structure Figure 1 A consistent structure is formed to form an inner layer structure, and the three-dimensional model with the inner layer structure and the outer layer structure is recorded as the basic field.

[0020] It should be noted that the constructed basic field can be consistent with the industrial furnace combustion chamber in size, specifications and shape, thereby ensuring that the subsequently reconstructed industrial furnace combustion field remains consistent with the actual combustion chamber.

[0021] S2: Mark the sampling area in the industrial furnace and obtain the comprehensive combustion data of the industrial furnace in the sampling area. The comprehensive combustion data includes the combustion temperature value, oxygen concentration value and gas flow rate value; The sampling area refers to the corresponding area in the industrial furnace used for collecting combustion field reconstruction data. By collecting data in the sampling area, it can provide a data basis for the subsequent reconstruction of the combustion field. It can also be used as a subsequent real-time analysis of the combustion field and update the corresponding regional position; Methods for marking sampling areas include: Mark the midpoints of the left inner wall, right inner wall, upper inner wall, lower inner wall, bottom inner wall and top inner wall in the base field respectively to obtain six base points; Compare the length, height and width of the basic field, and record one quarter of the minimum value after comparison as the sampling length; Six closed circular areas are drawn with the six base points as the center and the sampling length as the radius. The areas overlapping with the six circular areas are marked on the inner wall of the industrial furnace to obtain six sampling areas.

[0022] It should be noted that by marking a closed and circular sampling area on the inner wall of the industrial furnace, the specific sampling location of the comprehensive combustion data can be limited, which can ensure that the comprehensive combustion data can represent the combustion conditions at multiple different locations in the combustion chamber of the industrial furnace, and also ensure the independence of the comprehensive combustion data of different sampling areas; Comprehensive combustion data refers to parameters that can specifically and comprehensively represent the combustion conditions in the sampling area when the combustion chamber of an industrial furnace is working normally. It can identify the actual combustion state of the industrial furnace and also serve as the basis for the subsequent construction of the combustion field. Comprehensive combustion data include combustion temperature value, oxygen concentration value and gas flow rate value; The combustion temperature value refers to the indoor temperature data of the industrial furnace combustion chamber during real-time combustion operation, which can be used as the basis for the subsequent construction of the temperature data of the combustion field; the combustion temperature value is obtained through detection by temperature sensors installed in six sampling areas.

[0023] The oxygen concentration value refers to the indoor oxygen concentration data of the industrial furnace combustion chamber during real-time combustion operation, which can be used as the basis for the subsequent construction of the oxygen concentration data of the combustion field; the oxygen concentration value is obtained through detection by oxygen concentration sensors installed in six sampling areas.

[0024] The gas flow rate value refers to the indoor gas flow rate data of the industrial furnace combustion chamber during real-time combustion operation, which can be used as the basis for the subsequent construction of the gas flow rate data of the combustion field; the gas flow rate value is obtained through detection by airflow sensors installed in six sampling areas.

[0025] S3: Check the integrity of the comprehensive combustion data, divide the checked comprehensive combustion data into data units, and fuse the basic field and the data units to construct the combustion field; After the comprehensive combustion data is obtained, the comprehensive combustion data at this time is collected in real time. Since various sensors may be affected by their own hardware wear and fluctuations in data transmission when detecting data in real time, some comprehensive combustion data may be missing or incomplete. In order to ensure the rationality and accuracy of the comprehensive combustion data, it is necessary to perform integrity check operations on the comprehensive combustion data; The integrity check means that there is no missing or incomplete data in the comprehensive combustion data of each sampling area, so that each sampling area has three comprehensive combustion data. When the integrity check is passed, subsequent operations can be carried out. When the integrity check fails, the comprehensive combustion data of the sampling area with missing or incomplete data is repeatedly collected; After the integrity check is passed, the comprehensive combustion data needs to be divided into different data units according to different types to ensure that each data unit only summarizes and represents one type of data, and facilitates the subsequent rapid and accurate construction of the combustion field; The data unit includes a first data unit, a second data unit and a third data unit; the first data unit is used to summarize data of combustion chamber temperature type, the second data unit is used to summarize data of combustion chamber oxygen concentration type, and the third data unit is used to summarize data of combustion chamber gas flow rate type; After the comprehensive combustion data is divided into data units, the multidimensional data in the data units can be fused into a combustion field based on the data units through a multidimensional data fusion algorithm, so that the combustion field can be used as a simulation combustion model consistent with the relevant characteristic parameters of the industrial furnace combustion chamber, and can be a reference object for subsequent optimization and regulation of the industrial furnace combustion chamber; The methods for constructing the combustion field include: The combustion temperature values, oxygen concentration values, and gas flow rate values ​​of the six sampling areas are summarized in sequence, and the summarized combustion temperature values, oxygen concentration values, and gas flow rate values ​​are arranged in sequence according to the order of collection time to generate a first data unit, a second data unit, and a third data unit; Three independent nodes are established in the six sampling areas of the basic field respectively, and six temperature nodes, six oxygen nodes and six airflow nodes are obtained; Import the combustion temperature value in the first data unit, the oxygen concentration value in the second data unit, and the gas flow rate value in the third data unit into six temperature nodes, six oxygen nodes, and six gas flow nodes respectively; The combustion temperature value, oxygen concentration value and gas flow rate value are multi-dimensionally fused with the basic field through a multi-dimensional data fusion algorithm to construct a combustion field.

[0026] It should be noted that the multidimensional data fusion algorithm refers to the integration and analysis of multidimensional data from different data sources to obtain more comprehensive and accurate information. In this embodiment, the multidimensional data fusion algorithm can integrate and analyze the combustion temperature values, oxygen concentration values ​​and gas flow rate values ​​in the basic field, so that the comprehensive combustion data of different types and dimensions can be perfectly integrated with the basic field, and a three-dimensional model that can truly and accurately reflect the real environment of the industrial furnace combustion chamber can be constructed, thereby improving the accuracy and reliability of the data, and being suitable for data processing needs in the complex environment of the industrial furnace combustion chamber, and improving the adaptability and flexibility of the combustion field construction.

[0027] S4: Obtain update parameters of the industrial furnace, calculate the update cycle, obtain the real-time comprehensive combustion data of the industrial furnace after the update cycle, and perform difference recognition on the real-time comprehensive combustion data to determine whether there is difference data; if there is difference data, execute S5: if there is no difference data, end; Update parameters refer to various parameters that can affect the duration of combustion changes in the combustion chamber of an industrial furnace during normal combustion, which can accurately represent the relevant conditions of normal combustion in the combustion chamber, while the update cycle refers to the duration of combustion state changes in the combustion chamber of an industrial furnace under normal combustion conditions. It also serves as the interval for subsequent collection of real-time combustion data in the industrial furnace, and provides a basis for updating data for the real-time combustion state of the combustion field; Update parameters include rated update duration, effective delay duration, and flow area value; The rated update time refers to the interval time for updating the combustion data in the combustion chamber of an industrial furnace under standard combustion conditions, and serves as the basis for the update cycle; the rated update time can be obtained by querying the technical parameter table of the industrial furnace.

[0028] The effective delay time refers to the delay time of the combustion data collection and transmission delay phenomenon in the combustion chamber of the industrial furnace under combustion conditions. It can be used to compare the excellent performance of the combustion data collection and transmission in the combustion chamber of the industrial furnace. The longer the effective delay time, the shorter the update cycle. Methods for obtaining the effective delay duration include: The combustion record events of the combustion chamber of the industrial furnace are queried through the database, the record status of the combustion record events is queried, and the combustion record events with correct record status are recorded as valid events. The record status is a specific indication of whether the combustion record event is correct and valid. The record status includes correct record and error record. When the record status is error record, the combustion record event cannot be used as a valid event for subsequent analysis and identification. Mark them one by one The recorded data in the valid events can be queried in sequence by timestamp The moment when the recorded data is first recorded, Recording moments; Query by timestamp The moment when the recorded data is successfully processed is obtained processing time; Will Record time to The time between the processing moments is recorded as the delay time, and The delay time is accumulated and averaged to obtain the effective delay time; The expression for the effective delay duration is: ; In the formula, is the effective delay time, For the Delay duration.

[0029] The flow area value refers to the ratio between the diagonal of the industrial furnace combustion chamber and the maximum value of the length value, height value and width value, which can represent the fire burning area in the industrial furnace combustion chamber. The larger the flow area value, the larger the fire burning area in the industrial furnace combustion chamber, and the longer the update cycle; Methods for obtaining flow area values ​​include: Compare the length, height and width of the industrial furnace, and record the maximum value after comparison as the target value; Query the diagonal length of the combustion chamber of the industrial furnace through the technical parameter table and obtain the diagonal value; Compare the diagonal value with the target value to obtain the flow area value; The expression for the flow area value is: ; In the formula, is the flow area value, is the diagonal value, is the target value.

[0030] The update cycle is the interval for collecting the combustion parameters in the combustion chamber of the industrial furnace based on the update duration, effective delay duration and flow area value, so as to provide a basis for collecting corresponding data for the subsequent real-time update and optimization of the combustion field; The expression of the update period is: : In the formula, For the update cycle, is the rated update duration, , is a weight factor greater than 0; in, , exemplary, is 0.452, is 0.548, , The setting is to balance the proportion of effective delay time and flow area value in the update cycle, and to achieve a relative dynamic balance among update time, effective delay time and flow area value, thereby ensuring the calculation accuracy of the update cycle.

[0031] After the update cycle is calculated, it is necessary to collect the comprehensive combustion data in the combustion chamber of the industrial furnace at regular intervals based on the update cycle, and record the comprehensive combustion data collected after the update cycle as real-time comprehensive combustion data, specifically real-time combustion temperature value, real-time oxygen concentration value and real-time gas flow rate value.

[0032] After the real-time comprehensive combustion data is obtained, the difference between the real-time comprehensive combustion data and the comprehensive combustion data in the constructed combustion field can be identified, so as to determine whether there is a difference in a specific data between the real-time comprehensive combustion data and the previous comprehensive combustion data, and the specific data with the difference phenomenon is recorded as the difference data. At the same time, according to whether there is the difference data, it is determined whether to perform a real-time update operation on the combustion field in the future; Methods for determining whether there is discrepancy data include: The combustion temperature value, oxygen concentration value and gas flow rate value in the combustion field are recorded as the constructed combustion temperature value, the constructed oxygen concentration value and the constructed gas flow rate value respectively; The real-time combustion temperature value, the real-time oxygen concentration value and the real-time gas flow rate value are respectively identified as different from the constructed combustion temperature value, the constructed oxygen concentration value and the constructed gas flow rate value; When the real-time combustion temperature value, the real-time oxygen concentration value, and the real-time gas flow rate value are respectively consistent with the constructed combustion temperature value, the constructed oxygen concentration value, and the constructed gas flow rate value, it is determined that there is no difference data; When the real-time combustion temperature value is inconsistent with the constructed combustion temperature value, the constructed combustion temperature value is recorded as difference data, and it is determined that there is difference data; When the real-time oxygen concentration value is inconsistent with the constructed oxygen concentration value, the constructed oxygen concentration value is recorded as difference data, and it is determined that there is difference data; When the real-time gas flow rate value is inconsistent with the constructed gas flow rate value, the constructed gas flow rate value is recorded as difference data, and it is determined that there is difference data.

[0033] S5: If there is difference data, identify the update area in the combustion field, and update the data in the update area to generate an updated combustion field; When there is difference data, it is necessary to update the difference data, that is, to remove the difference data in the combustion field, and import the real-time data corresponding to the difference data into the combustion field, so that the real-time data can update the combustion environment of the combustion field in real time, and obtain the updated combustion field, ensuring that the updated combustion field can represent the real environment of the combustion chamber of the industrial furnace; In order to generate an updated combustion field, it is necessary to identify the sampling area corresponding to the difference data, that is, to identify the update area so that the update area can correspond to the difference data and ensure the real-time accuracy of the final updated combustion field; The updated combustion field generation method includes: Count all the difference data to obtain W difference data, and mark the sampling areas in the combustion field containing W difference data one by one, which are recorded as S update areas; Identify the nodes corresponding to the W difference data one by one in the S update areas to obtain W difference nodes; At the same time, W difference data in the combustion field are synchronously removed, and W replacement data corresponding to the W difference data in the real-time comprehensive combustion data are synchronously imported into the W difference nodes in the combustion field to generate an updated combustion field.

[0034] It should be noted that the updated combustion field is a three-dimensional model used to represent the actual combustion conditions of the industrial furnace combustion chamber after an update cycle, so that the updated combustion field is not the final combustion field. As long as the real-time comprehensive combustion data after the update cycle identifies the difference data after identification, the combustion field at this time will be continuously updated in real time, so that the updated combustion field can perform three-dimensional simulation of the temperature, flow rate, oxygen concentration and other data at different positions and times in the industrial furnace combustion chamber, and ultimately achieve high-precision reconstruction of the combustion field, providing data support for the subsequent energy efficiency optimization of industrial furnaces.

[0035] In this embodiment, by acquiring the basic parameters of the industrial furnace, basic features are extracted from the basic parameters, and based on the construction criteria, a basic field of the industrial furnace is constructed, a sampling area is marked in the industrial furnace, and comprehensive combustion data of the industrial furnace in the sampling area is obtained, the integrity of the comprehensive combustion data is checked, the checked comprehensive combustion data is divided into data units, and the basic field and the data units are merged to construct a combustion field, the update parameters of the industrial furnace are obtained, the update cycle is calculated, the real-time comprehensive combustion data of the industrial furnace after the update cycle is obtained, and the real-time comprehensive combustion data is identified for differences to determine whether there is difference data, the update area is identified in the combustion field, and the data in the update area is updated to generate an updated combustion field; compared with the prior art, it is possible to comprehensively collect multi-dimensional combustion data of multiple different locations in the combustion chamber of the industrial furnace, and the comprehensive combustion data can be integrated into a combustion field. After the integrity of the combustion data is checked, a multi-dimensional data fusion algorithm is used to construct a combustion field consistent with the combustion chamber of the industrial furnace, thereby achieving accurate reconstruction and simulation effects of multi-position and multi-dimensional data of the combustion chamber of the industrial furnace. At the same time, after calculating the update cycle, through comparative analysis of the real-time comprehensive combustion data after the update cycle, when the real-time combustion data of the combustion chamber of the industrial furnace changes, the corresponding data in the combustion field can be updated and replaced in a timely and accurate manner, ensuring that the reconstructed combustion field can maintain consistency and accuracy with the combustion chamber of the industrial furnace, thereby avoiding the limitations brought about by single-point position data collection in the combustion chamber of the industrial furnace, and avoiding the lag caused by untimely updating of the combustion field. It is also suitable for the combustion processes of various industrial furnaces, making it convenient for management and control personnel to carry out targeted optimization and control of industrial furnaces, which can play a positive role in improving combustion efficiency, reducing pollutant emissions and improving economic benefits.

[0036] Example 2: Please refer to Figure 2 As shown, the part not described in detail in this embodiment is described in the first embodiment, and a combustion field reconstruction system for industrial furnaces is provided, which is applied to a reconstruction server and is used to implement a combustion field reconstruction method for industrial furnaces, including a first construction module, a data acquisition module, a second construction module, an identification and determination module, and an update and reconstruction module, wherein each module is connected via a wired or wireless network; The first construction module is used to obtain the basic parameters of the industrial furnace, extract the basic features from the basic parameters, the basic features include length value, height value, width value and chamber wall scanning diagram, and construct the basic field of the industrial furnace based on the construction criteria; A data acquisition module is used to mark a sampling area in an industrial furnace and obtain comprehensive combustion data of the industrial furnace in the sampling area. The comprehensive combustion data includes combustion temperature value, oxygen concentration value and gas flow rate value; The second construction module is used to check the integrity of the comprehensive combustion data, divide the checked comprehensive combustion data into data units, and fuse the basic field and the data units to construct the combustion field; The identification and determination module is used to obtain the update parameters of the industrial furnace, including the rated update time, the effective delay time and the flow area value, calculate the update cycle, obtain the real-time comprehensive combustion data of the industrial furnace after the update cycle, and perform difference identification on the real-time comprehensive combustion data to determine whether there is difference data; The update reconstruction module is used to identify the update area in the combustion field, and update the data of the update area to generate an updated combustion field.

[0037] Example 3: Please refer to Figure 3 As shown, this embodiment discloses an electronic device, including a processor and a memory; Wherein, the memory stores a computer program that can be called by the processor; The processor executes the combustion field reconstruction method for an industrial furnace by calling the computer program stored in the memory.

[0038] Since the electronic device introduced in this embodiment is an electronic device used to implement a method for reconstructing a combustion field for an industrial furnace in Embodiment 1 of this application, based on the method for reconstructing a combustion field for an industrial furnace introduced in the embodiment of this application, a person skilled in the art can understand the specific implementation of the electronic device of this embodiment and its various variations, so how the electronic device implements the method in the embodiment of this application will not be described in detail here. As long as a person skilled in the art implements the electronic device used in the method for reconstructing a combustion field for an industrial furnace in the embodiment of this application, it belongs to the scope of protection of this application.

[0039] Example 4: Please refer to Figure 4 As shown, this embodiment discloses a computer-readable storage medium on which a rewritable computer program is stored; When the computer program is executed, the combustion field reconstruction method for an industrial furnace is implemented.

[0040] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A combustion field reconstruction method for an industrial furnace, applied to a reconstruction server, characterized in that: include: S1: Obtain the basic parameters of the industrial furnace, extract the basic features from the basic parameters, the basic features include length value, height value, width value and chamber wall scanning diagram, and construct the basic field of the industrial furnace based on the construction criteria; S2: Mark the sampling area in the industrial furnace and obtain the comprehensive combustion data of the industrial furnace in the sampling area. The comprehensive combustion data includes the combustion temperature value, oxygen concentration value and gas flow rate value; S3: Check the integrity of the comprehensive combustion data, divide the checked comprehensive combustion data into data units, and fuse the basic field and the data units to construct the combustion field; S4: obtaining update parameters of the industrial furnace, including the rated update time, the effective delay time and the flow area value, calculating the update cycle, obtaining the real-time comprehensive combustion data of the industrial furnace after the update cycle, and performing difference identification on the real-time comprehensive combustion data to determine whether there is difference data; S5: If there is difference data, an update area is identified in the combustion field, and data in the update area is updated to generate an updated combustion field.

2. A combustion field reconstruction method for an industrial furnace according to claim 1, characterized in that: Methods for extracting length values, height values, width values ​​and room wall scans include: Mark the library number information of all sub-libraries and the serial number information of industrial furnaces in the database one by one, record the sub-library whose library number information is consistent with the serial number information of the industrial furnace as the parameter library, and record the parameters in the parameter library as the basic parameters; The parameter semantics of the basic parameters are identified one by one through natural language processing technology, and the basic parameters whose parameter semantics are length, height and width are recorded as the first parameter, the second parameter and the third parameter respectively; The recording times of the first parameter, the second parameter and the third parameter are queried one by one through the timestamp, and all the recording times are numbered in ascending order according to the order of recording time; The first parameter, the second parameter and the third parameter corresponding to the maximum number are split into a text part and a numeric part, and the numeric parts of the first parameter, the second parameter and the third parameter are recorded as the length value, the height value and the width value respectively; The scanned image set of the last shooting moment is queried through the image management system, the annotation words of all sub-images in the scanned image set are marked one by one, and the sub-image with the annotation word "room wall" is recorded as the room wall scanned image.

3. A combustion field reconstruction method for an industrial furnace according to claim 2, characterized in that: The construction principle is: first construct the outer structure of the basic field, then construct the inner structure of the basic field; The construction methods of the basic field include: A three-dimensional model with a hollow interior is simulated by using three-dimensional simulation technology, and the exposed part of the three-dimensional model is recorded as the first structure, and the hidden part of the three-dimensional model is recorded as the second structure; The length direction, height direction and width direction of the first structure are respectively adjusted to amplitudes consistent with the length value, height value and width value to form an outer layer structure; A structure consistent with the room wall scanning image is simulated on the second structure to form an inner layer structure, and the three-dimensional model with the inner layer structure and the outer layer structure is recorded as the basic field.

4. A combustion field reconstruction method for an industrial furnace according to claim 3, characterized in that: Methods for marking sampling areas include: Mark the midpoints of the left inner wall, right inner wall, upper inner wall, lower inner wall, bottom inner wall and top inner wall in the base field respectively to obtain six base points; Compare the length, height and width of the basic field, and record one quarter of the minimum value after comparison as the sampling length; Six closed circular areas are drawn with the six base points as the center and the sampling length as the radius. The areas overlapping with the six circular areas are marked on the inner wall of the industrial furnace to obtain six sampling areas.

5. A combustion field reconstruction method for an industrial furnace according to claim 4, characterized in that: The data unit includes a first data unit, a second data unit and a third data unit; The methods for constructing the combustion field include: The combustion temperature values, oxygen concentration values, and gas flow rate values ​​of the six sampling areas are summarized in sequence, and the summarized combustion temperature values, oxygen concentration values, and gas flow rate values ​​are arranged in sequence according to the order of collection time to generate a first data unit, a second data unit, and a third data unit; Three independent nodes are established in the six sampling areas of the basic field respectively, and six temperature nodes, six oxygen nodes and six airflow nodes are obtained; Import the combustion temperature value in the first data unit, the oxygen concentration value in the second data unit, and the gas flow rate value in the third data unit into six temperature nodes, six oxygen nodes, and six gas flow nodes respectively; The combustion temperature value, oxygen concentration value and gas flow rate value are multi-dimensionally fused with the basic field through a multi-dimensional data fusion algorithm to construct a combustion field.

6. A combustion field reconstruction method for an industrial furnace according to claim 5, characterized in that: Methods for obtaining the effective delay duration include: The combustion record events of the combustion chamber of the industrial furnace are queried through the database, the record status of the combustion record events is queried, and the combustion record events with correct record status are recorded as valid events. Valid events; Mark them one by one The recorded data in the valid events can be queried in sequence by timestamp The moment when the recorded data is first recorded, Recording moments; Query by timestamp The moment when the recorded data is successfully processed is obtained processing time; Will Record time to The time between the processing moments is recorded as the delay time, and The delay time is accumulated and averaged to obtain the effective delay time; The expression for the effective delay duration is: ； In the formula, is the effective delay time, For the Delay duration.

7. A combustion field reconstruction method for an industrial furnace according to claim 6, characterized in that: Methods for obtaining flow area values ​​include: Compare the length, height and width of the industrial furnace, and record the maximum value after comparison as the target value; Query the diagonal length of the combustion chamber of the industrial furnace through the technical parameter table and obtain the diagonal value; Compare the diagonal value with the target value to obtain the flow area value; The expression for the flow area value is: ； In the formula, is the flow area value, is the diagonal value, is the target value; The expression of the update period is: ： In the formula, For the update cycle, is the rated update duration, , is a weight factor greater than 0.

8. A combustion field reconstruction method for an industrial furnace according to claim 7, characterized in that: Methods for determining whether there is discrepancy data include: The combustion temperature value, oxygen concentration value and gas flow rate value in the combustion field are recorded as the constructed combustion temperature value, the constructed oxygen concentration value and the constructed gas flow rate value respectively; The real-time combustion temperature value, the real-time oxygen concentration value and the real-time gas flow rate value are respectively identified as different from the constructed combustion temperature value, the constructed oxygen concentration value and the constructed gas flow rate value; When the real-time combustion temperature value, the real-time oxygen concentration value, and the real-time gas flow rate value are respectively consistent with the constructed combustion temperature value, the constructed oxygen concentration value, and the constructed gas flow rate value, it is determined that there is no difference data; When the real-time combustion temperature value is inconsistent with the constructed combustion temperature value, it is determined that there is discrepancy data; When the real-time oxygen concentration value is inconsistent with the constructed oxygen concentration value, it is determined that there is discrepancy data; When the real-time gas flow rate value is inconsistent with the constructed gas flow rate value, it is determined that there is discrepancy data.

9. A combustion field reconstruction method for an industrial furnace according to claim 8, characterized in that: The updated combustion field generation method includes: Count all the difference data to obtain W difference data, and mark the sampling areas in the combustion field containing W difference data one by one, which are recorded as S update areas; Identify the nodes corresponding to the W difference data one by one in the S update areas to obtain W difference nodes; At the same time, W difference data in the combustion field are synchronously removed, and W replacement data corresponding to the W difference data in the real-time comprehensive combustion data are synchronously imported into the W difference nodes in the combustion field to generate an updated combustion field.

10. A combustion field reconstruction system for industrial furnaces, applied to a reconstruction server, for implementing a combustion field reconstruction method for industrial furnaces according to any one of claims 1 to 9, characterized in that: It includes a first construction module, a data acquisition module, a second construction module, an identification and determination module, and an update and reconstruction module, wherein each module is connected via a wired or wireless network; The first construction module is used to obtain the basic parameters of the industrial furnace, extract the basic features from the basic parameters, the basic features include length value, height value, width value and chamber wall scanning diagram, and construct the basic field of the industrial furnace based on the construction criteria; A data acquisition module is used to mark a sampling area in an industrial furnace and obtain comprehensive combustion data of the industrial furnace in the sampling area. The comprehensive combustion data includes combustion temperature value, oxygen concentration value and gas flow rate value; The second construction module is used to check the integrity of the comprehensive combustion data, divide the checked comprehensive combustion data into data units, and fuse the basic field and the data units to construct the combustion field; The identification and determination module is used to obtain the update parameters of the industrial furnace, including the rated update time, the effective delay time and the flow area value, calculate the update cycle, obtain the real-time comprehensive combustion data of the industrial furnace after the update cycle, and perform difference identification on the real-time comprehensive combustion data to determine whether there is difference data; The update reconstruction module is used to identify the update area in the combustion field, and update the data of the update area to generate an updated combustion field.

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