A converter mouth energy-saving and dust-suppressing system

Abstract

The present invention discloses a converter mouth energy-saving and dust-suppressing system. The present invention relates to the technical field of converters, and solves the problem that the original purification treatment system cannot achieve a good energy-saving and dust-suppressing effect. By means of the collaborative operation of the machine vision terminal, the image data processing terminal and the associated data analysis terminal, the present invention accurately captures the real-time state and change characteristics of the flue gas between the converter mouth and the smoke hood. Based on the detailed RGB value analysis, gray value calibration and feature extraction of the flue gas image, the change of the flue gas concentration can be accurately judged, and accordingly, the air extraction rate of the fan and the spraying rate of the spraying equipment are intelligently regulated; when the flue gas concentration is lower than the preset standard, the operation intensity of the equipment is reasonably reduced to avoid energy waste; when the flue gas concentration increases, the operation parameters are timely increased to ensure the dust-suppressing effect, realizing the on-demand distribution of energy, greatly reducing the energy consumption cost, and effectively helping the enterprise to achieve the energy conservation and emission reduction goal.

Description

Technical Field

[0001] The present invention relates to the technical field of converters, and specifically to an energy-saving dust suppression system for the converter mouth. Background Technique

[0002] The furnace body is the core part of the converter. Generally, it is cylindrical and consists of a furnace shell and a refractory lining. The furnace shell is usually welded by steel plates and should have sufficient strength and stiffness to withstand high temperature, high pressure, and the impact of materials in the furnace, etc. The refractory lining is in direct contact with the high-temperature molten steel and slag, playing a role in heat insulation and protecting the furnace shell. Common refractory materials include magnesia-carbon bricks, etc. Their quality and masonry technology have a crucial impact on the service life and smelting effect of the converter.

[0003] During the production process of the converter, a large amount of flue gas will be generated. The flue gas needs to be purified through a designated purification treatment system and then discharged through a designated air outlet. However, in the actual treatment process, since the wind speed of the fan corresponding to the purification treatment equipment and the spraying speed of the corresponding spraying equipment are both fixed values, when the total amount of smoke is small, it will cause waste of corresponding energy, and when the total amount of smoke is large, the purification effect will become poor. The original purification treatment system cannot achieve a good energy-saving and dust suppression effect. Summary of the Invention

[0004] In view of the deficiencies of the prior art, the present invention provides an energy-saving dust suppression system for the converter mouth, which solves the problem that the original purification treatment system cannot achieve a good energy-saving and dust suppression effect.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: An energy-saving dust suppression system for the converter mouth, comprising:

[0006] A machine vision terminal, which collects multi-directional flue gas images between the converter mouth and the smoke hood, and transmits the specifically collected real-time flue gas images into the image data processing terminal;

[0007] An image data processing terminal, which performs relevant processing on the multi-directional flue gas images collected in real time, locks the flue gas pixel points with the same features according to a preset interval, and then directly extracts the feature images from the multi-directional flue gas images. The specific method is:

[0008] Based on the confirmed multi-directional flue gas images, confirm the RGB values of different points in the corresponding single-group flue gas image, and designate the RGB values calibrated at the corresponding points as R i 、G i and B i , where i represents different points in the corresponding flue gas image, and R, G, and B are the pixel values of the red, green, and blue channels respectively;

[0009] Adopt Y i =Ri × 0.299 + G i × 0.587 + B i × 0.114 to determine the grayscale value Y associated with the corresponding point i ;

[0010] Based on the set preset interval, the endpoint values of which are all preset values, for Y i ∈ the corresponding points in the preset interval are calibrated as flue gas pixel points. If Y i ∉ the preset interval, no calibration is performed;

[0011] Calibrate the area image covered by the flue gas pixel points as the feature image, and process other flue gas images in sequence to confirm the associated feature images;

[0012] Associate with the data analysis end. Based on multiple feature images confirmed in real time from multi-directional flue gas images, lock the edge contour of the corresponding feature image and then synchronously confirm its associated midpoint. Subsequently, based on the location of the machine vision end and the midpoint of the corresponding feature image, lock the spatial position of this feature image, so as to determine the change feature associated with the corresponding moment. The specific method is as follows:

[0013] Based on the edge contour of the feature image, lock the internal midpoint of the feature image. Decompose the edge contour into several contour points and synchronously place them in a set of two-dimensional coordinate systems. Each contour point is associated with different two-dimensional coordinates. Perform mean processing on the several two-dimensional coordinates associated with the several contour points to confirm the mean point, and based on the location of the mean point, perform internal midpoint calibration within the feature image;

[0014] Based on the location of the machine vision end associated with the corresponding feature image as the starting point and the internal midpoint of the feature image as the ending point, confirm the feature vector from the starting point to the ending point. Based on this feature vector, confirm the spatial position of this feature image. After the spatial positions of several groups of feature images associated with multi-directional flue gas images at the current moment are all confirmed, connect the internal midpoints of several feature images to confirm a set of connection surfaces, and calibrate the area parameter of this connection surface as the change feature associated with the current moment;

[0015] The control center, based on the change feature confirmed at the current moment, confirms the extraction rate of the corresponding fan and directly executes it. And based on the set delay, confirms the spraying rate of the spraying equipment. When the delay arrives, directly execute the spraying rate of the spraying equipment to perform flue gas dust suppression treatment on it. The specific method is as follows:

[0016] Calibrate the change feature confirmed at the current moment as M k , where k represents different moments, using: CF k = CY + (M k-My) × C1 to confirm the extraction rate CF to be executed at the current moment k , where C1 is a preset fixed coefficient factor, My is a preset standard feature, CY is a preset standard extraction rate, and directly control the fan to execute this extraction rate CF k ;

[0017] Adopt: PL k =PY + (M k -My) × C2 to confirm the spraying rate PL associated with the current moment k , where C2 is a preset fixed coefficient factor, PY is a preset standard spraying rate, and based on the set delay Ys, start timing from the current moment. When the continuous duration is the same as the delay Ys, control the spraying rate of the spraying equipment, and its execution rate is PL k ;

[0018] The real-time verification end monitors the flue gas emission concentration at the flue gas emission port in real time, and based on the specific data of the real-time monitoring, evaluates whether the efficiency of its spraying and dust suppression meets the standard. And based on the specific evaluation result, send an adjustment signal to the delay adjustment end. The delay adjustment end adjusts the set delay in real time based on the sent adjustment signal until the efficiency of the spraying and dust suppression meets the standard. The specific method is as follows:

[0019] Calibrate the real-time monitored flue gas emission concentration as SS k , where k represents different moments, and compare the confirmed flue gas emission concentration SS k with the preset standard emission concentration YN: If SS k >YN, then mark the current moment as a non-compliant moment. If SS k ≤YN, then do not perform any marking, where YN is the preset standard emission concentration;

[0020] If three groups of non-compliant moments appear continuously: Then determine the relevant time periods [SS1, SS2] associated with the three groups of non-compliant moments. SS1 represents the first moment of the three groups of non-compliant moments, and SS2 represents the last moment of the three groups of non-compliant moments. Based on the preset time range t1 - t2, where both t1 and t2 are preset time parameters, t1 represents the shortest time from the corresponding flue gas purification to the flue gas emission port, and t2 represents the longest time from the corresponding flue gas purification to the flue gas emission port. Move SS1 backward by t2 time periods and move SS2 backward by t1 time periods to confirm a set of traceability time periods [SS1 - t2, SS2 - t1], and arrange the spraying rates associated with this traceability time period in sequence to confirm the rate sequence;

[0021] Take the confirmed rate sequence as the main sequence and copy it to generate a set of rate sequences as the sub-sequence;

[0022] Adjust the associated moments of different spraying rates within the subsequence, and execute several adjustment processes. In each adjustment process, the associated moment is increased or decreased by one moment. Mark the adjusted subsequence as the adjusted sequence, and compare the adjusted sequence with the main sequence at the same moment to identify whether there are three consecutive moments when the spraying rate of the adjusted sequence is less than that of the main sequence. If so, stop the adjustment and mark the currently confirmed adjusted sequence as the determined sequence. If not, continue the adjustment until the determined sequence is confirmed and then stop;

[0023] Calibrate the determined sequence and the main sequence in terms of moments, lock the moment of the first spraying rate of the determined sequence and mark it as SK1, record the moment of the first spraying rate of the main sequence as SK2, and use: SK1 - SK2 = CZ to confirm the time difference;

[0024] And transmit the confirmed time difference CZ to the delay adjustment end.

[0025] Preferably, for the delay adjustment end, based on the received time difference CZ, if CZ > 0, increase the originally set delay by CZ; if CZ < 0, reduce the originally set delay by CZ; if CZ = 0, directly generate an error signal.

[0026] The present invention provides a converter furnace mouth energy-saving dust suppression system. Compared with the prior art, it has the following beneficial effects:

[0027] The system precisely captures the real-time state and change characteristics of the flue gas between the furnace mouth and the smoke hood through the coordinated operation of the machine vision end, the image data processing end, and the associated data analysis end. Based on the detailed RGB value analysis, grayscale value calibration, and feature extraction of the flue gas image, it can accurately judge the change in flue gas concentration, and accordingly intelligently adjust the air extraction rate of the fan and the spraying rate of the spraying equipment; when the flue gas concentration is lower than the preset standard, reasonably reduce the operation intensity of the equipment to avoid energy waste; when the flue gas concentration increases, timely increase the operation parameters to ensure the dust suppression effect, realize the on-demand distribution of energy, greatly reduce the energy consumption cost, and effectively contribute to the achievement of the enterprise's energy conservation and emission reduction goals;

[0028] By deeply analyzing the flue gas images collected from multiple directions, lock the edge contour, midpoint, and spatial position of the feature image, and dynamically reflect the change of the flue gas with the connection surface area parameter to ensure that the fan and the spraying equipment respond in a timely manner and are accurately adjusted. Whether it is to prevent leakage in case of a sudden increase in the flue gas volume or to maintain a good workshop environment during the daily stable production stage, it can provide continuous and efficient dust suppression performance, significantly improve the air quality in the workshop, reduce the erosion of dust on the equipment, and extend the service life of the equipment;

[0029] The real-time verification end's strict monitoring of the flue gas emission port concentration and the delay adjustment end's precise adjustment mechanism based on the verification results constitute a closed-loop optimization system. Once the spray dust suppression efficiency fails to reach the preset standard, quickly trace and analyze the spray rate during the corresponding period. After a rigorous sequence comparison, adjustment, and calibration process, precisely correct the delay setting to ensure that the spray operation perfectly matches the actual situation of the flue gas, continuously and stably improving the quality of flue gas purification treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the principle framework of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0032] First Embodiment

[0033] Please refer to Figure 1 , this application provides a converter mouth energy-saving dust suppression system, including a machine vision end, an image data processing end, a correlation data analysis end, a control center, a real-time verification end, and a delay adjustment end;

[0034] Among them, the machine vision end, the image data processing end, the correlation data analysis end, and the control center are electrically connected in sequence from the output node to the input node, and the control center is electrically connected to the input node of the real-time verification end, and the real-time verification end is electrically connected to the input node of the delay adjustment end;

[0035] Among them, the machine vision end collects multi-directional flue gas images (at least four directions) between the converter mouth and the smoke hood. The smoke hood is arranged above the converter mouth to collect the flue gas generated by the converter mouth. The machine vision end is arranged at a specified position to collect multi-directional flue gas images between the smoke hood and the converter mouth, and transmits the specific real-time collected flue gas images into the image data processing end;

[0036] Among them, the image data processing end performs relevant processing on the multi-directional flue gas images collected in real time, locks the flue gas pixel points with the same features according to the preset interval, and then directly extracts the feature images from the multi-directional flue gas images. The specific method for confirming the change features associated with the current moment is as follows:

[0037] Based on the confirmed multi-directional flue gas images, confirm the RGB values of different points in the corresponding single-group flue gas images, and designate the RGB values calibrated at the corresponding points as R i, G i and B i , where i represents different points in the corresponding flue gas image, and R, G, and B are the pixel values of the red, green, and blue channels respectively;

[0038] Use Y i =R i ×0.299 + G i ×0.587 + B i ×0.114 to determine the grayscale value Y associated with the corresponding point i ;

[0039] Based on the set preset interval, the endpoint values of the preset interval are all preset values, which are determined in advance by relevant operators according to experience. Calibrate the corresponding points where Y i ∈ the preset interval as flue gas pixel points. Conversely, no calibration is performed;

[0040] Calibrate the area image covered by the flue gas pixel points as the feature image, and process and confirm the associated feature images for other flue gas images in sequence.

[0041] Among them, the associated data analysis end, based on multiple feature images confirmed in real time from multi-directional flue gas images, locks the edge contour of the corresponding feature image and then synchronously confirms the midpoint associated with it. Subsequently, based on the location of the machine vision end and the midpoint of the corresponding feature image, lock the spatial position of this feature image, so as to determine the change features associated with the corresponding moment:

[0042] Based on the edge contour of the feature image, lock the internal midpoint of the feature image. Decompose the edge contour into several contour points and synchronously place them in a two-dimensional coordinate system. Each contour point is associated with a different two-dimensional coordinate. Perform mean processing on the several two-dimensional coordinates associated with the several contour points to confirm the mean point, and based on the location of the mean point, calibrate the internal midpoint in the feature image;

[0043] Using the location of the machine vision end associated with the corresponding feature image as the initial point and the internal midpoint of the feature image as the end point, the feature vector from the initial point to the end point is confirmed. Based on this feature vector, the spatial position of this feature image is confirmed. After the spatial positions of several groups of feature images associated with the multi-directional flue gas images at the current moment are all confirmed, the internal midpoints of several feature images are connected to confirm a connecting surface, and the area parameter of this connecting surface is calibrated as the change feature associated with the current moment. Specifically, if the connecting surface is not a plane, this connecting surface is decomposed into multiple planes, and based on the different areas associated with each different plane, the multiple areas are summed to confirm the area parameter of this connecting surface. When the flue gas is generated, if it is in a continuously increasing state, the resulting change feature will gradually increase. On the contrary, when it is in a decreasing state, the resulting change feature will also gradually decrease. Since the feature is confirmed in real time, the fan and spray equipment associated with the flue gas treatment process can be controlled based on the relevant changes in the corresponding change feature to achieve energy conservation and simultaneously improve the overall dust removal effect.

[0044] Among them, the control center, based on the change feature confirmed at the current moment, confirms the air extraction rate of the corresponding fan and directly executes it, and based on the set delay, confirms the spraying rate of the spray equipment. When the delay arrives, directly execute the spraying rate of the spray equipment to carry out flue gas dust suppression treatment. The specific method for determining the air extraction rate of the fan is as follows:

[0045] Calibrate the change feature confirmed at the current moment as M k , where k represents different moments, and use: CF k = CY + (M k - My) × C1 to confirm the air extraction rate CF to be executed at the current moment k , where C1 is a preset fixed coefficient factor, and its specific value is determined by the operator according to experience. Among them, My is the preset standard feature, and CY is the preset standard air extraction rate, and directly control the fan to execute this air extraction rate CF k ;

[0046] Use: PL k = PY + (M k - My) × C2 to confirm the spraying rate PL associated with the current moment k , where C2 is a preset fixed coefficient factor, and its specific value is determined by the operator according to experience. Among them, PY is the preset standard spraying rate, and based on the set delay Ys, start timing from the current moment. When the continuous duration is the same as the delay Ys, control the spraying rate of the spray equipment, and its execution rate is PL kSpecifically, when the corresponding change feature is higher than the corresponding preset standard feature, the corresponding exhaust rate and spray rate need to be increased to ensure that the flue gas does not leak, and at the same time, the overall effect of spray dust suppression can be ensured. When the corresponding change feature is lower than the corresponding preset standard feature, the corresponding exhaust rate and spray rate need to be decreased, which can not only ensure that the corresponding flue gas does not leak, but also ensure the relevant effect of spray dust suppression, and can effectively save energy at the same time, achieving a better energy-saving and dust-suppression treatment effect.

[0047] Second Embodiment

[0048] Its real-time verification end monitors the flue gas emission concentration at the flue gas emission port in real time, and based on the specific data of the real-time monitoring, evaluates whether the efficiency of spray dust suppression meets the standard, and based on the specific evaluation result, sends an adjustment signal to the delay adjustment end. The delay adjustment end adjusts the set delay in real time based on the sent adjustment signal until the efficiency of spray dust suppression meets the standard and then stops. The specific method for evaluation is as follows:

[0049] Calibrate the flue gas emission concentration monitored in real time as SS k , where k represents different moments, and the confirmed flue gas emission concentration SS k is compared with the preset standard emission concentration YN: If SS k > YN, then mark the current moment as a non-compliance moment; otherwise, no marking is made. YN is the preset standard emission concentration, and its specific value is determined by the operator according to experience;

[0050] If three groups of non-compliance moments appear continuously: Then determine the relevant time periods [SS1, SS2] associated with the three groups of non-compliance moments. SS1 represents the first moment of the three groups of non-compliance moments, and SS2 represents the last moment of the three groups of non-compliance moments. Based on the preset time range t1 - t2, where t1 and t2 are both preset time parameters, t1 represents the shortest time from the corresponding flue gas purification to the flue gas emission port, and t2 represents the longest time from the corresponding flue gas purification to the flue gas emission port. Adjust SS1 backward by t2 time periods and adjust SS2 backward by t1 time periods to confirm a set of traceability time periods [SS1 - t2, SS2 - t1]. Arrange the spray rates associated with this traceability time period in sequence to confirm the rate sequence;

[0051] Take the confirmed rate sequence as the main sequence and copy it to generate a set of rate sequences as the sub-sequence;

[0052] Adjust the associated moments of different spray rates within the subsequence, execute several adjustment processes, in each adjustment process, the associated moments are adjusted up or down by one moment, mark the adjusted subsequence as an adjustment sequence, compare the adjustment sequence with the main sequence at the same time, and identify whether there are three consecutive moments in which the spray rate of the adjustment sequence is less than the spray rate of the main sequence. If so, stop adjusting, and mark the currently confirmed adjustment sequence as a confirmed sequence. If not, continue adjusting until the confirmed sequence is confirmed and stop;

[0053] Calibrate the time of the determined sequence and the main sequence, lock the time of the first spray rate of the determined sequence and mark it as SK1, record the time of the first spray rate of the main sequence as SK2, and use: SK1-SK2=CZ to confirm the time difference;

[0054] The confirmed time difference CZ is transmitted to the delay adjustment end, and the delay adjustment end is based on the received time difference CZ. If CZ>0, the originally set delay is increased by CZ. If CZ<0, the originally set delay is reduced by CZ. If CZ=0, an error signal is directly generated (unless data garbled or other situations occur, under normal circumstances, no error signal will appear).

[0055] Specifically, this treatment method can effectively ensure the accuracy of the delay in real time, thereby ensuring the overall effect of the corresponding dust suppression and achieving better flue gas purification treatment effects.

[0056] Third embodiment

[0057] The specific implementation process of this embodiment includes the entire implementation process of the above two groups of embodiments.

[0058] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0059] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A converter furnace mouth energy-saving dust suppression system, characterized in that: include: The machine vision end collects the smoke images between the furnace mouth and the smoke hood from all directions, and transmits the real-time collected specific smoke images to the image data processing end; The image data processing end performs correlation processing on the multi-directional smoke images collected in real time, locks the smoke pixels with the same characteristics according to the preset interval, and then directly extracts the feature image from the multi-directional smoke images; The associated data analysis end, based on the multiple feature images confirmed in real time by the multi-directional smoke image, locks the edge contour of the corresponding feature image and then synchronously confirms its associated midpoint. Subsequently, the spatial position of this feature image is locked based on the location of the machine vision end and the midpoint of the corresponding feature image, thereby determining the change feature associated with the corresponding moment; The control center, based on the change characteristics confirmed at the current moment, confirms the exhaust rate of the corresponding fan and executes it directly, and confirms the spray rate of the spray equipment based on the set delay. When the delay arrives, the spray rate of the spray equipment is directly executed to perform smoke and dust suppression treatment. The specific method is: The change feature confirmed at the current moment is marked as M k , where k represents different moments, using: CF k =CY+(M k -My) × C1 confirms the ventilation rate CF that needs to be executed at the current moment k , where C1 is the preset fixed coefficient factor, where My is the preset standard feature, where CY is the preset standard exhaust rate, and directly controls the fan to execute this exhaust rate CF k ; Use: PL k =PY+(M k -My) × C2 confirms the spray rate PL associated with the current moment k , where C2 is the preset fixed coefficient factor, where PY is the preset standard spray rate, and based on the set delay Ys, the timing starts from the current moment. When the duration is consistent with the delay Ys, the spray rate of the spray equipment is controlled, and its execution rate is PL k ; The real-time verification end monitors the flue gas emission concentration at the flue gas emission port in real time, and evaluates whether the efficiency of its spraying dust suppression meets the standard based on the specific data of real-time monitoring, and sends an adjustment signal to the delay adjustment end based on the specific evaluation result. The delay adjustment end adjusts the set delay in real time based on the adjustment signal sent, and stops when the efficiency of spraying dust suppression meets the standard.

2. The converter furnace mouth energy-saving dust suppression system according to claim 1, characterized in that: The specific method of extracting the characteristic image from the multi-directional smoke image at the image data processing end is: Based on the confirmed multi-directional smoke images, the RGB values ​​of different points in the corresponding single group of smoke images are confirmed, and the RGB values ​​​​calibrated at the corresponding points are proposed as R i , G i and B i , where i represents different points in the corresponding smoke image, and R, G, and B are the pixel values ​​of the red, green, and blue channels, respectively; Use Y i =R i ×0.299+G i ×0.587+B i ×0.114 determines the gray value Y associated with the corresponding point i； Based on the preset interval, the endpoint values ​​of the preset interval are all preset values. i The corresponding points in the preset interval are marked as smoke pixels; The area image covered by the smoke pixel points is calibrated as the feature image, and other smoke images are processed in turn to extract the associated feature images.

3. The converter furnace mouth energy-saving dust suppression system according to claim 2, characterized in that: The image data processing end, if Y i ∉Preset interval without any calibration.

4. The converter furnace mouth energy-saving dust suppression system according to claim 1, characterized in that: The specific method of determining the change characteristics associated with the corresponding time at the associated data analysis end is: Based on the edge contour of the feature image, the internal midpoint of the feature image is locked, the edge contour is decomposed into several contour points and synchronously placed in a set of two-dimensional coordinate systems, each contour point is associated with a different two-dimensional coordinate, several two-dimensional coordinates associated with several contour points are averaged, the mean point is confirmed, and based on the location of the mean point, the internal midpoint is calibrated in the feature image; Based on the location of the machine vision end associated with the corresponding feature image as the initial point and the internal midpoint of the feature image as the end point, the feature vector from the initial point to the end point is confirmed, and the spatial position of this feature image is confirmed based on this feature vector. After the spatial positions of several groups of feature images associated with the multi-directional smoke image at the current moment are confirmed, the internal midpoints of several feature images are connected to confirm a group of connection surfaces, and the area parameters of this connection surface are calibrated as the change feature associated with the current moment.

5. The converter furnace mouth energy-saving dust suppression system according to claim 1, characterized in that: The specific method of evaluating whether the efficiency of the spraying dust suppression meets the standard at the real-time verification end is as follows: The real-time monitored flue gas emission concentration is calibrated as SS k , where k represents different moments, and the confirmed flue gas emission concentration SS k Check with the preset standard emission concentration YN: If SS k >YN, the current moment is marked as the non-standard moment, where YN is the preset standard emission concentration; If three groups of non-standard moments appear consecutively: determine the relevant time periods [SS1, SS2] associated with the three groups of non-standard moments, where SS1 represents the first group of the three groups of non-standard moments, and SS2 represents the last group of the three groups of non-standard moments. Based on the preset time range t1-t2, where t1 and t2 are both preset time parameters, t1 represents the shortest time from the corresponding flue gas purification to the flue gas discharge port, and t2 represents the longest time from the corresponding flue gas purification to the flue gas discharge port, adjust SS1 backward by the t2 period, and adjust SS2 backward by the t1 period, confirm a group of tracing time periods [SS1-t2, SS2-t1], arrange the spray rates associated with the tracing time periods in sequence, and confirm the rate sequence; The confirmed rate sequence is used as the main sequence, and a set of rate sequences are generated by copying as subsequences; Adjust the associated moments of different spray rates within the subsequence, execute several adjustment processes, in each adjustment process, the associated moments are adjusted up or down by one moment, mark the adjusted subsequence as an adjustment sequence, compare the adjustment sequence with the main sequence at the same time, and identify whether there are three consecutive moments in which the spray rate of the adjustment sequence is less than the spray rate of the main sequence. If so, stop adjusting, and mark the currently confirmed adjustment sequence as a confirmed sequence. If not, continue adjusting until the confirmed sequence is confirmed and stop; Calibrate the time of the determined sequence and the main sequence, lock the time of the first spray rate of the determined sequence and mark it as SK1, record the time of the first spray rate of the main sequence as SK2, and use: SK1-SK2=CZ to confirm the time difference; And transmit the confirmed time difference CZ to the delay adjustment end.

6. A converter furnace mouth energy-saving dust suppression system according to claim 5, characterized in that: If SS k ≤YN, no calibration is performed.

7. The converter furnace mouth energy-saving dust suppression system according to claim 5, characterized in that: The delay adjustment end, based on the received time difference CZ, increases the originally set delay by CZ if CZ>0, reduces the originally set delay by CZ if CZ<0, and directly generates an error signal if CZ=0.

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