Secondary metal smelting dust removal equipment AI regulation and control system based on smelting flue gas recognition

Abstract

The invention discloses a secondary metal smelting dust removal equipment AI regulation and control system based on smelting flue gas recognition, relates to the technical field of flue gas supervision, solves the technical problem that in the prior art, the flue gas environment and flue gas control at each moment cannot be synchronously analyzed, and specifically comprises the steps that a real-time flue gas environment analysis unit collects flue gas environment information, and sends the flue gas environment information to a secondary metal smelting dust removal equipment AI regulation and control unit; real-time smoke environment analysis coefficients of all sub-time points in the operation time period of the smelting furnace are obtained according to data processing, and the smoke different time and the smoke positive time are obtained according to coefficient comparison; the real-time flue gas control analysis unit performs flue gas control analysis on each sub-moment in the real-time operation period of the smelting furnace to obtain flue gas concentration information and flue gas distance information of each sub-moment, a difference control moment and a correct control moment are obtained according to information comparison, and the flue gas AI regulation and control platform receives various types of signals and then sends the signals to the smelting furnace. And analyzing each sub-moment in the operation period of the smelting furnace.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment AI control, and in particular to an AI control system for recycled metal smelting and dust removal equipment based on smelting fume identification. Background Art

[0002] Visual recognition refers to the recognition and identification of specific objects, symbols, images, etc. through visual senses; recycled metal smelting refers to the process of converting various scrap metals into usable metal materials through a smelting process; compared with the production of an equal amount of primary metal, the use of recycled metals can significantly save energy, air and water, and reduce the emission of solid waste, sulfur dioxide and carbon dioxide.

[0003] However, in the prior art, it is impossible to perform real-time flue gas environment analysis and flue gas control analysis during recycled metal smelting, resulting in the inability to synchronously analyze the flue gas environment and flue gas control at each moment, and the inability to perform targeted regulation when the flue gas is abnormal; in addition, it is impossible to evaluate the flue gas regulation efficiency during the operation of the smelting furnace.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose an AI control system for recycled metal smelting dust removal equipment based on smelting flue gas identification. The flue gas is identified and analyzed according to visual recognition technology, and the dust removal equipment is controlled to achieve the effect of energy saving and emission reduction.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] The AI ​​control system for recycled metal smelting dust removal equipment based on smelting flue gas identification includes a flue gas AI control platform. The communication connections of the flue gas AI control platform are:

[0008] The real-time flue gas environment analysis unit is used to perform real-time flue gas environment analysis on the current metal smelting area, divide the operation period of the smelting furnace into i sub-time points, i is a natural number greater than 1, and set the real-time flue gas emission trajectory of the smelting furnace as a smoke trail according to the location of the smelting furnace, and monitor the real-time smoke trail according to the real-time flue gas emission; collect the flue gas environment information, and obtain the real-time flue gas environment analysis coefficients of each sub-time point in the operation period of the smelting furnace according to data processing, and obtain the smoke abnormality time and smoke positive time according to the coefficient comparison;

[0009] The real-time flue gas control analysis unit is used to perform flue gas control analysis on each sub-moment during the real-time operation period of the smelting furnace, obtain the smoke concentration information and flue gas distance information at each sub-moment, and obtain the abnormal control moment and the correct control moment according to the information comparison. After receiving various types of signals, the flue gas AI control platform analyzes each sub-moment during the operation period of the smelting furnace;

[0010] The control efficiency evaluation unit is used to evaluate the flue gas control efficiency during the operation of the smelting furnace, generate a low-efficiency control signal or a high-efficiency control signal based on the flue gas control efficiency evaluation, and send it to the flue gas AI control platform; the dust removal impact analysis unit is used to perform dust removal impact analysis on the current metal smelting area during the operation stage of the smelting furnace, collect the deviation value ratio and speed mean ratio, generate a high-impact signal or a low-impact signal based on the threshold comparison, and send it to the flue gas AI control platform.

[0011] As a preferred embodiment of the present invention, the flue gas environment information includes the rising speed of the flue gas concentration peak value at the starting position of the smoke trail corresponding to each sub-time point during the operation period of the smelting furnace, the continuously increasing span of the flue gas emission trajectory distance corresponding to the smoke trail at each sub-time point during the operation period of the smelting furnace, and the flue gas concentration attenuation speed corresponding to the increased distance of the smoke trail emission at each sub-time point during the operation period of the smelting furnace.

[0012] As a preferred embodiment of the present invention, if the real-time flue gas environment analysis coefficient at each sub-time point in the operating period of the smelting furnace exceeds the real-time flue gas environment analysis coefficient threshold, the current sub-time is marked as a smoke abnormality moment; if the real-time flue gas environment analysis coefficient at each sub-time point in the operating period of the smelting furnace does not exceed the real-time flue gas environment analysis coefficient threshold, the current sub-time is marked as a smoke positive moment.

[0013] As a preferred embodiment of the present invention, the smoke concentration information and the smoke distance information are respectively the reciprocating floating span value of the interval time between the rising moment and the falling moment of the smoke concentration at the starting position of the smoke at each sub-moment during the real-time operation period of the smelting furnace, and the decreasing speed of the corresponding average value of the smoke and flue gas concentration when the real-time emission distance control of the smoke at each sub-moment during the real-time operation period of the smelting furnace is extended.

[0014] As a preferred embodiment of the present invention, if the smoke concentration information exceeds the interval time reciprocating floating span value threshold, or the smoke distance information does not exceed the smoke and smoke concentration mean decreasing speed threshold, the current sub-moment is marked as the control abnormal moment; if the smoke concentration information does not exceed the interval time reciprocating floating span value threshold, and the smoke distance information exceeds the smoke and smoke concentration mean decreasing speed threshold, the current sub-moment is marked as the control positive moment.

[0015] As a preferred embodiment of the present invention, each sub-moment of the smelting furnace operation period is analyzed. If the smoke abnormality moment and the control abnormality moment of the smelting furnace overlap, the smoke emission equipment of the smelting furnace is given priority to be repaired; if the smoke abnormality moment and the control correct moment of the smelting furnace overlap, the smelting process flow of the smelting furnace is given priority to be adjusted while the operating power of the smoke emission equipment is adjusted; if the smoke correct moment and the control abnormality moment of the smelting furnace overlap, the smoke emission equipment of the smelting furnace is given priority to be replaced; if the smoke correct moment and the control correct moment of the smelting furnace overlap, no adjustment or processing is performed at present.

[0016] As a preferred embodiment of the present invention, adjacent smoke abnormal moments and smoke correct moments, control abnormal moments and control correct moments are obtained according to the time sequence of each sub-moment in the operating period, and the corresponding moment intervals are marked as smoke regulation period and smoke control regulation period, respectively, and a number of sub-moment points are set and any of the corresponding sub-moment points exists in the smoke regulation period and the smoke control regulation period.

[0017] As a preferred embodiment of the present invention, control data and maintenance data are obtained, which are respectively the average increase rate of the non-overlapping duration corresponding to the duration of the smoke control period and the smoke control adjustment period in the smoke control process of the smelting furnace, and the longest duration of the overlapping duration corresponding to the interval duration of adjacent smoke control periods and the interval duration of adjacent smoke control adjustment periods in the smoke control process.

[0018] As a preferred embodiment of the present invention, if the controlled data does not exceed the average increase speed threshold of the duration, or the maintained data does not exceed the maximum sustainable duration threshold, a control inefficiency signal is generated; if the controlled data exceeds the average increase speed threshold of the duration, and the maintained data exceeds the maximum sustainable duration threshold, a control efficiency signal is generated.

[0019] As a preferred embodiment of the present invention, the deviation value ratio is obtained by: obtaining the maximum deviation value of the dust content in the corresponding area at any two time points within the non-overlapping time of the smoke control period and the smoke control adjustment period and the maximum deviation value of the dust removal speed at the corresponding two time points, and calculating the deviation value ratio according to the ratio;

[0020] The speed mean ratio is obtained by obtaining the dust removal speed mean value in the overlapping time of the interval time between adjacent smoke control periods and the interval time between adjacent smoke control adjustment periods and the dust removal speed mean value in the overlapping time of the non-interval time, and calculating the speed mean ratio according to the ratio;

[0021] If the deviation value ratio exceeds the deviation value ratio threshold, or the speed average ratio exceeds the speed average ratio threshold, a high dust removal impact signal is generated; if the deviation value ratio does not exceed the deviation value ratio threshold, and the speed average ratio does not exceed the speed average ratio threshold, a low dust removal impact signal is generated.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] 1. In the present invention, a real-time flue gas environment analysis is performed on the current metal smelting area. Whether there is a flue gas impact in the current metal smelting area is inferred based on the real-time flue gas environment analysis. At the same time, whether the current smelting furnace operation efficiency is qualified is inferred based on the flue gas impact analysis, so as to facilitate monitoring of each smelting moment to ensure the operation status at each moment;

[0024] Perform flue gas control analysis on each sub-moment during the real-time operation period of the smelting furnace. Based on the inference of whether the current flue gas control efficiency of the smelting furnace is qualified or not, combined with the flue gas environment analysis at the corresponding sub-moment, infer whether the overall smelting process execution efficiency of the current smelting furnace is qualified or not. At the same time, the operation control of the smelting furnace can be carried out in a targeted manner to ensure the operation efficiency of the smelting furnace and ensure that the equipment can be accurately adjusted when the flue gas emission is abnormal, thereby reducing the impact of the smelting furnace debugging without affecting the normal smelting of the smelting furnace.

[0025] 2. In the present invention, the flue gas control efficiency is evaluated during the operation of the smelting furnace, so as to infer whether the flue gas control efficiency in the current smelting execution stage meets the actual processing requirements, so as to make timely adjustments or change the mode when the flue gas control efficiency is abnormal, so as to ensure that the control efficiency is qualified when the flue gas emission is abnormal during the smelting period, and to ensure the safety of flue gas emission, reduce the impact of flue gas on the surrounding environment, and also create a good smelting environment, so as to further improve the operation efficiency of the smelting furnace;

[0026] During the operation stage of the smelting furnace, an analysis of the dust removal impact on the current metal smelting area is conducted. According to the real-time flue gas emission impact combined with the dust removal efficiency analysis of the metal smelting area, it is determined whether the dust impact of the current metal smelting area is within the controllable range during the flue gas monitoring and control process. This avoids the situation where the current dust removal equipment cannot remove dust in time when the flue gas is controlled, resulting in the flue gas control not being fully and effectively controlled, which still affects the metal smelting of the smelting furnace and reduces the recycled metal recovery efficiency of the smelting furnace. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0028] Figure 1 This is a principle block diagram of Embodiment 1 of the present invention;

[0029] Figure 2 This is a principle block diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0031] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0032] Embodiment 1

[0033] When smelting recycled metals, there is pollution such as smoke at the real-time smelting site. It is necessary to monitor the smoke and remove dust during the actual operation to ensure that the smelting environment meets the requirements. Recycled metals are mainly used for recycled aluminum, recycled copper, etc. Please refer to Figure 1 As shown, the AI ​​control system of recycled metal smelting dust removal equipment based on smelting flue gas identification includes a flue gas AI control platform, wherein the flue gas AI control platform is communicatively connected with a real-time flue gas environment analysis unit, a real-time flue gas control analysis unit, and a control efficiency evaluation unit;

[0034] The flue gas AI control platform generates a real-time flue gas environment analysis signal and sends it to the real-time flue gas environment analysis unit. After receiving the real-time flue gas environment analysis signal, the real-time flue gas environment analysis unit performs real-time flue gas environment analysis on the current metal smelting area, and infers whether there is flue gas impact in the current metal smelting area based on the real-time flue gas environment analysis. At the same time, it infers whether the current smelting furnace operation efficiency is qualified based on the flue gas impact analysis, so as to facilitate monitoring of each smelting moment to ensure the operation status at each moment;

[0035] The operation time period of the smelting furnace is divided into i sub-time points, where i is a natural number greater than 1, and the real-time smoke emission trajectory of the smelting furnace is set as a smoke trail according to the location of the smelting furnace, and the real-time smoke trail is monitored according to the real-time smoke emission;

[0036] The rising speed of the peak value of the flue gas concentration at the starting position of the smoke trace corresponding to each sub-time point in the operation period of the smelting furnace is obtained, and the rising speed of the peak value of the flue gas concentration at the starting position of the smoke trace corresponding to each sub-time point in the operation period of the smelting furnace is marked as NDSi;

[0037] At the same time, the continuously increasing span of the flue gas emission trajectory distance corresponding to the smoke trace at each sub-time point during the operation period of the smelting furnace is obtained, and the corresponding flue gas concentration decay rate in the increased distance of the smoke trace emission at each sub-time point during the operation period of the smelting furnace is obtained, and the continuously increasing span of the flue gas emission trajectory distance corresponding to the smoke trace at each sub-time point during the operation period of the smelting furnace and the corresponding flue gas concentration decay rate in the increased distance of the smoke trace emission at each sub-time point during the operation period of the smelting furnace are marked as ZKDi and QSJi respectively;

[0038] The above collected data are uniformly marked as flue gas environment information, and substituted into the formula to obtain the real-time flue gas environment analysis coefficient YQi at each sub-time point during the operation period of the smelting furnace; the specific formula is:

[0039] Among them, fc1, fc2 and fc3 are the preset proportional coefficients of the rising speed of the smoke concentration peak, the continuous increase span of the smoke emission trajectory distance and the smoke concentration attenuation speed, respectively, and α is used as an error correction factor with a value of 1.2, and e is a natural constant;

[0040] Compare the real-time flue gas environment analysis coefficient YQi at each sub-time point in the smelting furnace operation period with the real-time flue gas environment analysis coefficient threshold:

[0041] If the real-time flue gas environment analysis coefficient YQi at each sub-time point in the smelting furnace operation period exceeds the real-time flue gas environment analysis coefficient threshold, the flue gas environment analysis of the current sub-time in the operation period is determined to be abnormal, and the current sub-time is marked as a smoke abnormality moment; at the same time, a flue gas environment abnormality signal is generated and sent to the flue gas AI control platform;

[0042] If the real-time flue gas environment analysis coefficient YQi at each sub-time point in the smelting furnace operation period does not exceed the real-time flue gas environment analysis coefficient threshold, the flue gas environment analysis of the current sub-time in the operation period is determined to be normal, and the current sub-time is marked as the flue gas positive time; at the same time, a normal flue gas environment signal is generated and sent to the flue gas AI control platform;

[0043] The flue gas AI control platform generates a real-time flue gas control analysis signal and sends it to the real-time flue gas control analysis unit. After receiving the real-time flue gas control analysis signal, the real-time flue gas control analysis unit performs flue gas control analysis on each sub-moment of the real-time operation period of the smelting furnace. Based on the inference of whether the current flue gas control efficiency of the smelting furnace is qualified or not, combined with the analysis of the flue gas environment at the corresponding sub-moment, it is inferred whether the overall smelting process execution efficiency of the current smelting furnace is qualified or not. At the same time, the operation control of the smelting furnace can be carried out in a targeted manner to ensure the operation efficiency of the smelting furnace, and ensure that the equipment can be accurately adjusted when the flue gas emission is abnormal, so as to reduce the impact of the smelting furnace debugging while not affecting the normal smelting of the smelting furnace;

[0044] The interval time reciprocating floating span value between the rising moment and the falling moment of the smoke concentration at the starting position of the smoke at each sub-moment in the real-time operation period of the smelting furnace is obtained, and at the same time, the decreasing speed of the corresponding average smoke concentration of the smoke trace when the real-time emission distance control of the smoke trace at each sub-moment in the real-time operation period of the smelting furnace is extended is obtained, and the interval time reciprocating floating span value between the rising moment and the falling moment of the smoke concentration at the starting position of the smoke trace at each sub-moment in the real-time operation period of the smelting furnace and the decreasing speed of the corresponding average smoke concentration of the smoke trace when the real-time emission distance control of the smoke trace at each sub-moment in the real-time operation period of the smelting furnace are marked as smoke concentration information and smoke distance information, respectively, and compared with the interval time reciprocating floating span value threshold and the smoke trace smoke concentration average decreasing speed threshold respectively:

[0045] If the interval time between the rising moment and the falling moment of the flue gas concentration at the starting position of the smoke trail at each sub-moment in the real-time operation period of the smelting furnace exceeds the interval time reciprocating floating span value threshold, or the falling speed of the corresponding average value of the smoke trail flue gas concentration when the real-time emission distance control of the smoke trail at each sub-moment in the real-time operation period of the smelting furnace is extended does not exceed the falling speed threshold of the average value of the smoke trail flue gas concentration, then it is determined that the flue gas control analysis of the current sub-moment in the operation period of the smelting furnace is abnormal, and the current sub-moment is marked as the abnormal control moment, and a flue gas control abnormality signal is generated and sent to the flue gas AI control platform;

[0046] If the interval time between the rising moment and the falling moment of the flue gas concentration at the starting position of the smoke trail at each sub-moment in the real-time operation period of the smelting furnace does not exceed the interval time reciprocating floating span value threshold, and the decrease rate of the corresponding average value of the smoke trail flue gas concentration when the real-time emission distance control of the smoke trail at each sub-moment in the real-time operation period of the smelting furnace is extended exceeds the threshold value of the decrease rate of the average value of the smoke trail flue gas concentration, then it is determined that the flue gas control analysis of the current sub-moment in the operation period of the smelting furnace is normal, and the current sub-moment is marked as the control positive moment, and a normal flue gas control signal is generated and sent to the flue gas AI control platform;

[0047] After receiving various types of signals, the flue gas AI control platform analyzes each sub-moment of the smelting furnace operation period. If the smoke abnormality moment of the smelting furnace overlaps with the control abnormality moment, the flue gas emission equipment of the smelting furnace will be repaired first; if the smoke abnormality moment of the smelting furnace overlaps with the control correct moment, the smelting process of the smelting furnace will be adjusted first and the operating power of the flue gas emission equipment will be adjusted at the same time; if the smoke correct moment of the smelting furnace overlaps with the control abnormality moment, the flue gas emission equipment of the smelting furnace will be replaced first; if the smoke correct moment of the smelting furnace overlaps with the control correct moment, no control processing will be performed at present;

[0048] After obtaining the smoke abnormality moment, control abnormality moment, smoke correct moment and control correct moment, the system generates a control efficiency evaluation signal and sends the control efficiency evaluation signal to the control efficiency evaluation unit. After receiving the control efficiency evaluation signal, the control efficiency evaluation unit evaluates the smoke control efficiency during the operation of the smelting furnace, thereby inferring whether the smoke control efficiency in the current smelting execution stage meets the actual processing requirements, so as to make timely adjustments or change the mode when the smoke control efficiency is abnormal, so as to ensure that the control efficiency is qualified when the smoke emission is abnormal during the smelting period, and to ensure the safety of smoke emission, reduce the impact of smoke on the surrounding environment, and create a good smelting environment, so as to further improve the operation efficiency of the smelting furnace;

[0049] According to the time sequence of each sub-moment in the operation period, the adjacent smoke abnormal moment and smoke correct moment, control abnormal moment and control correct moment are obtained, and the corresponding moment intervals are marked as smoke control period and smoke control adjustment period, and several sub-moment points are set and any of the corresponding sub-moment points exists in the smoke control period and the smoke control adjustment period;

[0050] The average increase rate of the non-overlapping duration corresponding to the duration of the smoke control period and the smoke control adjustment period in the smoke control process of the smelting furnace is obtained, and at the same time, the longest duration of the overlapping duration corresponding to the interval duration of the interval duration of adjacent smoke control periods and the interval duration of adjacent smoke control adjustment periods in the smoke control process is obtained, and the average increase rate of the non-overlapping duration corresponding to the duration of the smoke control period and the smoke control adjustment period in the smoke control process of the smelting furnace, and the longest duration of the overlapping duration corresponding to the interval duration of the interval duration of adjacent smoke control periods and the interval duration of adjacent smoke control adjustment periods in the smoke control process are marked as good control data and good maintenance data, and are compared with the mean increase rate threshold and the longest duration threshold respectively:

[0051] If the average increase rate of the non-overlapping time duration of the smoke control period and the smoke control adjustment period during the smoke control process of the smelting furnace does not exceed the average increase rate threshold, or the longest possible duration of the overlapping time duration of the interval duration of adjacent smoke control periods and the interval duration of adjacent smoke control adjustment periods during the smoke control process does not exceed the longest possible duration threshold, then it is determined that the control efficiency evaluation during the smoke control stage of the smelting furnace operation is abnormal, and an inefficient control signal is generated and sent to the smoke AI control platform. After receiving the inefficient control signal, the smoke control platform rectifies the smoke control of the smelting furnace, that is, maintains the current smoke emission equipment and replaces it when necessary, and continuously monitors the smelting process;

[0052] If the average increase rate of the non-overlapping duration of the flue gas control period and the smoke control adjustment period during the flue gas control of the smelting furnace exceeds the average increase rate threshold, and the longest possible duration of the overlapping duration of the interval duration of the interval duration of adjacent flue gas control periods and the interval duration of adjacent smoke control adjustment periods during the flue gas control process exceeds the longest possible duration threshold, then it is determined that the control efficiency evaluation during the flue gas control stage during the operation of the smelting furnace is normal, and a high-efficiency control signal is generated and sent to the flue gas AI control platform;

[0053] Embodiment 2

[0054] In the previous embodiment, the flue gas emission was regulated and controlled during the smelting of recycled metals. Based on the previous embodiment, this embodiment analyzes the flue gas emission combined with the impact of environmental control. Please refer to Figure 2 As shown, the flue gas AI control platform is connected to the dust removal impact analysis unit;

[0055] The flue gas AI control platform generates a dust removal impact analysis signal and sends it to the unit. After receiving the dust removal impact analysis signal, the dust removal impact analysis unit conducts dust removal impact analysis on the current metal smelting area during the operation phase of the smelting furnace. According to the real-time flue gas emission impact combined with the dust removal efficiency analysis of the metal smelting area, it is judged whether the dust impact of the current metal smelting area is within the controllable range during the flue gas monitoring and control process, so as to avoid the current dust removal equipment being unable to remove dust in time when the flue gas is controlled, resulting in the flue gas control not being fully and effectively controlled, and still having an impact on the metal smelting of the smelting furnace, thereby reducing the recycling efficiency of the smelting furnace;

[0056] The maximum deviation value of dust content in the corresponding area at any two time points within the non-overlapping time of the smoke control period and the smoke control adjustment period and the maximum deviation value of the dust removal speed at the corresponding two time points are obtained, and the deviation value ratio is calculated according to the ratio. In the ratio calculation process, the influence of inconsistent data units of the corresponding deviation value is ignored, and only the ratio calculation is performed based on the data value, and the influence of data value fluctuation is collected and analyzed; at the same time, the interval time of adjacent smoke control periods and the interval time of adjacent smoke control adjustment periods are obtained. The average dust removal speed in the overlapping time of the interval time corresponding to the interval time and the average dust removal speed in the overlapping time of the non-interval time, and the speed mean ratio is calculated according to the ratio, and the deviation value ratio and the speed mean ratio are compared with the deviation value ratio threshold and the speed mean ratio threshold respectively:

[0057] If the deviation value ratio exceeds the deviation value ratio threshold, or the speed average ratio exceeds the speed average ratio threshold, it is determined that the dust removal impact is high during the operation stage of the smelting furnace, and a dust removal high impact signal is generated and sent to the flue gas AI control platform. After receiving the dust removal high impact signal, the flue gas AI control platform improves the dust removal efficiency of the metal smelting area, strengthens the operating power of the dust removal equipment, and continuously monitors and controls the flue gas emissions to reduce the risk of abnormal flue gas emissions;

[0058] If the deviation value ratio does not exceed the deviation value ratio threshold, and the speed average ratio does not exceed the speed average ratio threshold, it is determined that the dust removal impact is low during the operation stage of the smelting furnace, and a dust removal low impact signal is generated and sent to the flue gas AI control platform;

[0059] Embodiment 3

[0060] In this embodiment, AI intelligent control is performed in the entire regenerative metal dust removal system through visual recognition technology. During the execution of regenerative metal smelting, the flue gas generated by the operation of the regenerative metal smelting equipment is identified and analyzed through visual recognition technology. If the flue gas concentration is not within the set threshold range, the dust removal equipment is regulated to ensure that the smelting process is fully operated while ensuring the smelting efficiency. On the contrary, when the flue gas concentration is within the set threshold range, the operation of the valve in the regenerative metal smelting equipment is monitored through visual recognition technology, and the dust removal equipment is regulated according to the operating conditions of the valve; and the amount of raw material added is monitored in real time according to the real-time smelting process execution steps, and the amount of raw material added and the real-time smelting equipment operating performance are synchronously monitored to match a reasonable amount of raw material added;

[0061] At the same time, during the recycled metal smelting process, the entire recycled metal dust removal system is saved through visual recognition technology analysis and AI intelligent control, and the emission of gases such as carbon dioxide is reduced through energy saving and emission reduction.

[0062] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0063] When the present invention is in use, the real-time flue gas environment analysis unit performs real-time flue gas environment analysis on the current metal smelting area, collects flue gas environment information, and obtains the real-time flue gas environment analysis coefficients at each sub-time point in the operation period of the smelting furnace according to data processing, and obtains the smoke abnormality moment and the smoke correctness moment according to the coefficient comparison; the real-time flue gas control analysis unit performs flue gas control analysis on each sub-time point in the real-time operation period of the smelting furnace, obtains the smoke trace concentration information and the flue gas distance information at each sub-time point, and obtains the control abnormality moment and the control correctness moment according to the information comparison, and after the flue gas AI control platform receives various types of signals, it analyzes each sub-time point in the operation period of the smelting furnace; the control efficiency evaluation unit evaluates the flue gas control efficiency during the operation of the smelting furnace, and generates a control inefficiency signal or a control high efficiency signal according to the flue gas control efficiency evaluation; the dust removal impact analysis unit performs a dust removal impact analysis on the current metal smelting area during the operation stage of the smelting furnace, collects the deviation value ratio and the speed mean ratio, and generates a dust removal high impact signal or a dust removal low impact signal according to the threshold comparison.

[0064] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. AI control system for recycled metal smelting dust removal equipment based on smelting fume identification, characterized in that: Including flue gas AI control platform, the communication connections of flue gas AI control platform are: The real-time flue gas environment analysis unit is used to perform real-time flue gas environment analysis on the current metal smelting area, divide the operation period of the smelting furnace into i sub-time points, i is a natural number greater than 1, and set the real-time flue gas emission trajectory of the smelting furnace as a smoke trail according to the location of the smelting furnace, and monitor the real-time smoke trail according to the real-time flue gas emission; collect the flue gas environment information, and obtain the real-time flue gas environment analysis coefficients of each sub-time point in the operation period of the smelting furnace according to data processing, and obtain the smoke abnormality time and smoke positive time according to the coefficient comparison; The real-time flue gas control analysis unit is used to perform flue gas control analysis on each sub-moment during the real-time operation period of the smelting furnace, obtain the smoke concentration information and flue gas distance information at each sub-moment, and obtain the abnormal control moment and the correct control moment according to the information comparison. After receiving various types of signals, the flue gas AI control platform analyzes each sub-moment during the operation period of the smelting furnace; The control efficiency evaluation unit is used to evaluate the flue gas control efficiency during the operation of the smelting furnace, generate a low-efficiency control signal or a high-efficiency control signal based on the flue gas control efficiency evaluation, and send it to the flue gas AI control platform; the dust removal impact analysis unit is used to perform dust removal impact analysis on the current metal smelting area during the operation stage of the smelting furnace, collect the deviation value ratio and speed mean ratio, generate a high-impact signal or a low-impact signal based on the threshold comparison, and send it to the flue gas AI control platform.

2. The AI ​​control system for recycled metal smelting dust removal equipment based on smelting fume identification according to claim 1 is characterized in that: The flue gas environment information includes the rising speed of the flue gas concentration peak value at the starting position of the smoke trail corresponding to each sub-time point during the operation period of the smelting furnace, the continuously increasing span of the flue gas emission trajectory distance corresponding to the smoke trail at each sub-time point during the operation period of the smelting furnace, and the corresponding flue gas concentration attenuation speed in the increased distance of the smoke trail emission corresponding to each sub-time point during the operation period of the smelting furnace.

3. The AI ​​control system for regenerative metal smelting dust removal equipment based on smelting fume identification according to claim 2 is characterized in that: If the real-time flue gas environment analysis coefficient at each sub-time point during the operation period of the smelting furnace exceeds the real-time flue gas environment analysis coefficient threshold, the current sub-time will be marked as the smoke abnormal time; if the real-time flue gas environment analysis coefficient at each sub-time point during the operation period of the smelting furnace does not exceed the real-time flue gas environment analysis coefficient threshold, the current sub-time will be marked as the smoke positive time.

4. The AI ​​control system for regenerative metal smelting dust removal equipment based on smelting fume identification according to claim 1 is characterized in that: The smoke concentration information and smoke distance information are respectively the reciprocating floating span value of the interval time between the rising and falling moments of the smoke concentration at the starting position of the smoke at each sub-moment during the real-time operation period of the smelting furnace, and the decreasing speed of the corresponding average smoke and flue gas concentration when the real-time emission distance control of the smoke at each sub-moment during the real-time operation period of the smelting furnace is extended.

5. The AI ​​control system for regenerative metal smelting dust removal equipment based on smelting fume identification according to claim 4 is characterized in that: If the smoke concentration information exceeds the interval time reciprocating floating span value threshold, or the smoke distance information does not exceed the smoke and smoke concentration average decreasing speed threshold, the current sub-moment will be marked as the control abnormal moment; if the smoke concentration information does not exceed the interval time reciprocating floating span value threshold, and the smoke distance information exceeds the smoke and smoke concentration average decreasing speed threshold, the current sub-moment will be marked as the control positive moment.

6. The AI ​​control system for regenerative metal smelting dust removal equipment based on smelting fume identification according to claim 1 is characterized in that: Analyze each sub-moment during the operation period of the smelting furnace. If the smoke abnormality moment and the control abnormality moment of the smelting furnace overlap, the flue gas emission equipment of the smelting furnace shall be repaired first; if the smoke abnormality moment and the control correct moment of the smelting furnace overlap, the smelting process flow of the smelting furnace shall be adjusted first and the operating power of the flue gas emission equipment shall be adjusted at the same time; if the smoke correct moment and the control abnormality moment of the smelting furnace overlap, the flue gas emission equipment of the smelting furnace shall be replaced first; if the smoke correct moment and the control correct moment of the smelting furnace overlap, no adjustment or processing shall be performed at present.

7. The AI ​​control system for regenerative metal smelting dust removal equipment based on smelting fume identification according to claim 1 is characterized in that: According to the time sequence of each sub-moment in the operating time period, the adjacent smoke abnormal moment and smoke correct moment, control abnormal moment and control correct moment are obtained, and the corresponding moment interval lengths are marked as smoke control period and smoke control adjustment period, and several sub-moment points are set and any of the corresponding sub-moment points exists in the smoke control period and the smoke control adjustment period.

8. The AI ​​control system for regenerative metal smelting dust removal equipment based on smelting fume identification according to claim 7 is characterized in that: The control data and maintenance data are obtained, which are respectively the average increase rate of the non-overlapping duration of the smoke control period and the smoke control adjustment period during the smoke control process of the smelting furnace, and the longest duration of the overlapping duration of the interval duration of adjacent smoke control periods and the interval duration of adjacent smoke control adjustment periods during the smoke control process.

9. The AI ​​control system for regenerative metal smelting dust removal equipment based on smelting fume identification according to claim 8 is characterized in that: If the controlled data does not exceed the average increase rate threshold of the duration, or the maintained data does not exceed the maximum sustainable duration threshold, an inefficient regulation signal is generated; if the controlled data exceeds the average increase rate threshold of the duration, and the maintained data exceeds the maximum sustainable duration threshold, an efficient regulation signal is generated.

10. The AI ​​control system for regenerative metal smelting dust removal equipment based on smelting fume identification according to claim 1 is characterized in that: The deviation value ratio is obtained by obtaining the maximum deviation value of the dust content in the corresponding area at any two time points within the non-overlapping time of the smoke control period and the smoke control adjustment period and the maximum deviation value of the dust removal speed at the corresponding two time points, and calculating the deviation value ratio according to the ratio; The speed mean ratio is obtained by obtaining the dust removal speed mean value in the overlapping time of the interval time between adjacent smoke control periods and the interval time between adjacent smoke control adjustment periods and the dust removal speed mean value in the overlapping time of the non-interval time, and calculating the speed mean ratio according to the ratio; If the deviation value ratio exceeds the deviation value ratio threshold, or the speed average ratio exceeds the speed average ratio threshold, a high dust removal impact signal is generated; if the deviation value ratio does not exceed the deviation value ratio threshold, and the speed average ratio does not exceed the speed average ratio threshold, a low dust removal impact signal is generated.

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