Converter mouth energy-saving dust suppression system

Abstract

The invention discloses an energy-saving and dust-suppression system for a converter mouth, relates to the technical field of converters, and solves the problem that an original purification treatment system cannot achieve better energy-saving and dust-suppression effects. And the real-time state and change characteristics of the smoke between the furnace mouth and the smoke collecting hood can be accurately captured. On the basis of detailed RGB value analysis, gray value calibration and feature extraction of a flue gas image, the flue gas concentration change can be accurately judged, and the air draft rate of a fan and the spraying rate of spraying equipment are intelligently regulated and controlled according to the flue gas concentration change; when the flue gas concentration is lower than a preset standard, the equipment operation intensity is reasonably reduced, and energy waste is avoided; and when the flue gas concentration is increased, the operating parameters are timely improved to guarantee the dust suppression effect, so that energy is distributed according to needs, the energy consumption cost is greatly reduced, and the energy conservation and emission reduction targets of enterprises are effectively assisted to be achieved.

Description

Technical Field

[0001] The invention relates to the technical field of converters, and in particular to an energy-saving dust suppression system for a converter furnace mouth. Background Art

[0002] The furnace body is the core part of the converter, which is generally cylindrical and consists of a furnace shell and a refractory lining. The furnace shell is usually welded from steel plates and must have sufficient strength and rigidity to withstand high temperature, high pressure, and the impact of materials in the furnace. The refractory lining is in direct contact with high-temperature molten steel and slag, and plays a role in heat insulation and protection of the furnace shell. Common refractory materials include magnesia carbon bricks, etc. Their quality and masonry technology have a key 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, and the flue gas needs to be purified by a designated purification treatment system and then discharged through a designated exhaust port. However, in the actual treatment process, the wind speed of the fan corresponding to the purification treatment equipment and the spray speed of the corresponding spray equipment are fixed values. When the total amount of smoke is small, it will cause the corresponding energy to be wasted. When the total amount of smoke is large, the purification effect will be deteriorated. The original purification treatment system cannot achieve better energy-saving and dust suppression effects. Summary of the invention

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

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a converter furnace mouth energy-saving dust suppression system, comprising: 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 specific method is as follows: 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+Bi ×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 point in the preset interval is calibrated as the smoke pixel point. i ∉Preset interval without any calibration; The image of the area covered by the smoke pixel points is calibrated as a characteristic image, and other smoke images are processed in turn to confirm the associated characteristic 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, so as to determine the change characteristics associated with the corresponding moment. The specific method is as follows: 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, the internal midpoint of the feature image is used as the end point, and the feature vector from the initial point to the end point is confirmed. The spatial position of the feature image is confirmed based on the 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 the connection surfaces are calibrated as the change feature associated at the current 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 smoke emission concentration of the smoke emission port in real time, and based on the specific data of real-time monitoring, evaluates whether the efficiency of its spray dust suppression meets the standard, and based on the specific evaluation results, sends an adjustment signal to the delay adjustment end. The delay adjustment end adjusts the set delay in real time based on the adjustment signal sent, and stops when the efficiency of spray dust suppression meets the standard. The specific method is: 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, then mark the current time as the non-standard time. If SS k ≤YN, no calibration is performed, 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.

[0006] Preferably, 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.

[0007] The present invention provides a converter furnace mouth energy-saving dust suppression system. Compared with the prior art, it has the following beneficial effects: The system uses the collaborative operation of the machine vision end, image data processing end and associated data analysis end to accurately capture the real-time status and changing characteristics of the flue gas between the furnace mouth and the smoke hood. 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 intelligently adjust the fan exhaust rate and the spraying rate of the spray equipment accordingly; when the flue gas concentration is lower than the preset standard, the equipment operation intensity is reasonably reduced to avoid energy waste; and when the flue gas concentration increases, the operating parameters are promptly improved to ensure the dust suppression effect, realize energy allocation on demand, significantly reduce energy consumption costs, and effectively help enterprises achieve energy conservation and emission reduction goals; Through in-depth analysis of the smoke images collected from multiple angles, the edge contours, midpoints and spatial positions of the characteristic images are locked, and the connection surface area parameters are used to dynamically reflect the smoke changes, ensuring that the fan and spray equipment respond in a timely manner and are precisely regulated. Whether it is to prevent the sudden increase in smoke volume from leaking out, 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; The real-time verification end closely monitors the concentration of the flue gas outlet and the delay adjustment end accurately adjusts the mechanism based on the verification results, forming a closed-loop optimization system. Once the dust suppression efficiency of the spraying fails to reach the preset standard, the spraying rate of the corresponding period is quickly traced and analyzed. After a rigorous sequence comparison, adjustment and calibration process, the delay setting is accurately corrected to ensure that the spraying operation is perfectly matched with the actual flue gas conditions, and the quality of flue gas purification treatment is continuously and steadily improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 It is a schematic diagram of the principle framework of the present invention. DETAILED DESCRIPTION

[0009] 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.

[0010] First embodiment See also Figure 1 , the present application provides a converter furnace mouth energy-saving dust suppression system, including a machine vision terminal, an image data processing terminal, a correlation data analysis terminal, a control center, a real-time verification terminal, and a delay adjustment terminal; Among them, the machine vision end, the image data processing end, the associated data analysis end, and the control center are electrically connected from the output node to the input node in sequence, and the control center is electrically connected to the real-time verification end input node, and the real-time verification end is electrically connected to the delay adjustment end input node; Among them, the machine vision end collects the smoke image between the furnace mouth and the smoke hood in multiple directions (at least four directions, the smoke hood is set above the furnace mouth to collect the smoke generated by the converter furnace mouth, and its machine vision end is set at a specified position to collect the multi-directional smoke image between the smoke hood and the furnace mouth), and transmits the specific smoke image collected in real time to the image data processing end; Among them, the image data processing end performs relevant 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 specific method of confirming the change characteristics associated with the current moment 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, which are prepared in advance by relevant operators based on experience. i ∈The corresponding points in the preset interval are calibrated as smoke pixels, otherwise, no calibration is performed; The area image covered by the smoke pixel points is calibrated as the feature image, and other smoke images are processed in turn to confirm the associated feature images.

[0011] Among them, the associated data analysis end, based on multiple feature images confirmed in real time based on multi-directional smoke images, locks the edge contour of the corresponding feature image and then synchronously confirms its associated midpoint. Subsequently, based on the location of the machine vision end and the midpoint of the corresponding feature image, the spatial position of this feature image is locked, thereby determining the change characteristics associated with the corresponding moment: 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, the internal midpoint of the feature image is used as the end point, and the feature vector from the initial point to the end point is confirmed. The spatial position of the feature image is confirmed based on the feature vector. After the spatial positions of several groups of feature images associated with the multi-directional flue gas 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 parameter of the connection surface is calibrated as the change feature associated with the current moment. Specifically, if the connection surface is not a plane, the connection 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 the connection surface. When the flue gas is generated, if it is in a state of continuous increase, the change characteristics caused will gradually increase. On the contrary, the change characteristics caused by the state of decrease will also gradually decrease. The characteristics are confirmed in real time, so based on the relevant changes of the corresponding change characteristics, the fan and spray equipment associated with the flue gas treatment process can be controlled to achieve energy saving and simultaneously improve the overall effect of dust removal.

[0012] Among them, 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 based on the set delay, confirms the spray rate of the spray equipment. When the delay arrives, the spray rate of the spray equipment is directly executed to perform smoke and dust suppression treatment. The specific method of determining the exhaust rate of the fan 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 a preset fixed coefficient factor, the specific value of which is determined by the operator based on experience, where My is a preset standard feature, and CY is a preset standard exhaust rate, and the fan is directly controlled 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, and its specific value is determined by the operator based on experience, 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 Specifically, when the corresponding change characteristics are higher than the corresponding preset standard characteristics, the corresponding exhaust rate and spray rate need to be increased to ensure that the smoke does not leak out, and at the same time, the overall effect of spraying dust suppression can be guaranteed. When the corresponding change characteristics are lower than the corresponding preset standard characteristics, the corresponding exhaust rate and spray rate need to be reduced, which can not only ensure that the corresponding smoke does not leak out, but also ensure the related effects of spraying dust suppression, and can also effectively save energy and achieve better energy-saving and dust suppression treatment effects.

[0013] Second embodiment The real-time verification end monitors the smoke emission concentration of the smoke emission port in real time, and based on the specific data of real-time monitoring, evaluates whether the efficiency of its spray dust suppression meets the standard, and based on the specific evaluation results, sends an adjustment signal to the delay adjustment end. The delay adjustment end adjusts the set delay in real time based on the adjustment signal sent, and stops when the efficiency of spray dust suppression meets the standard. The specific way of evaluation is: 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, otherwise, no calibration is performed, where YN is the preset standard emission concentration, and its specific value is determined by the operator based on experience; 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; 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).

[0014] 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.

[0015] Third embodiment The specific implementation process of this embodiment includes the entire implementation process of the above two groups of embodiments.

[0016] 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.

[0017] 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 confirms the exhaust rate of the corresponding fan based on the change characteristics confirmed at the current moment 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 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 the image data processing end to confirm the change feature associated with the current moment 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 confirm 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 in which the control center controls the fan and the spray equipment is as follows: 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 .

6. 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.

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

8. The converter furnace mouth energy-saving dust suppression system according to claim 6, 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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