An exhaust gas treatment system for a waste aluminum recovery furnace

Abstract

The invention discloses a waste gas treatment system for a scrap aluminum recovery furnace, which belongs to the technical field of waste gas treatment. The invention analyzes the abnormal values ​​of each operating data of each motor through an abnormal monitoring module, and uses the operating data with abnormal values ​​greater than the corresponding preset abnormal threshold as estimated abnormal data, and then uses the SVDD algorithm model to analyze whether the estimated abnormal data of each motor are credible to judge the real abnormal data, and then analyzes the comprehensive abnormal values ​​of each motor to judge whether the motor of the waste gas purification equipment is abnormal, and generates corresponding operating abnormal information through an alarm module to send to the staff, and promptly inspects and repairs the corresponding motor according to the operating abnormal information to ensure that the waste gas is effectively purified in each link. After the purification treatment, the decision module is further used to make a final pipeline opening decision according to the pollutant concentration to avoid the discharge of unpurified waste gas that does not meet the standards, thereby further improving the effectiveness of waste gas treatment.

Description

Technical Field

[0001] The present invention relates to the technical field of waste gas treatment, and in particular to a waste gas treatment system for a waste aluminum recovery furnace. Background Art

[0002] During the smelting process of scrap aluminum, the scrap aluminum recycling furnace will produce a large amount of waste gas due to the high temperature melting of aluminum and the fuel used, such as natural gas, oil, coal, etc. These waste gases may contain harmful substances such as carbon monoxide, nitrogen oxides, volatile organic compounds, particulate matter and aluminum smoke, etc. In order to ensure environmental protection and the health of workers, a waste gas treatment system must be used to purify the waste gas.

[0003] How to enable the exhaust gas treatment system to purify exhaust gas more effectively is an important topic in the field of exhaust gas treatment. Summary of the invention

[0004] The present invention is to solve the technical problems existing in the prior art. The present invention provides an exhaust gas treatment system for a waste aluminum recovery furnace, comprising: a monitoring center, an exhaust gas collection system, an exhaust gas purification system and an effect monitoring system;

[0005] The waste gas collection system is used to collect the waste gas discharged from the waste aluminum recovery furnace and transport it to the waste gas purification system;

[0006] The exhaust gas purification system includes an abnormality monitoring module and a variety of exhaust gas purification and treatment equipment;

[0007] The abnormality monitoring module is used to determine the abnormal operation of the motor of each exhaust gas purification treatment equipment, specifically:

[0008] For each motor of the exhaust gas purification equipment, obtain various operating data of the motor;

[0009] Analyze the abnormal value a of various operating data of each motor, and take the operating data whose abnormal value is greater than the preset abnormal threshold of the corresponding type of operating data as estimated abnormal data;

[0010] The SVDD algorithm model is used to analyze whether the various estimated abnormal data of each motor are credible. If credible, the corresponding estimated abnormal data is used as the real abnormal data;

[0011] According to the abnormal value a of the real abnormal data of each motor, the comprehensive abnormal value A of each motor is analyzed;

[0012] The motor whose comprehensive abnormality value A is greater than the preset comprehensive abnormality threshold is judged to have an operating abnormality;

[0013] The effect monitoring system includes a concentration sensor module and a decision-making module;

[0014] Concentration sensor module, used to detect the concentration of different pollutants in the exhaust gas after purification;

[0015] The decision module is used to analyze the final pipeline opening decision based on the concentration of various pollutants.

[0016] Furthermore, the waste gas collection system includes a chimney hood, an induced draft fan and a conveying pipeline; the chimney hood is connected to the furnace outlet of the scrap aluminum recovery furnace to collect waste gas, and then the induced draft fan is used to transport the waste gas to the waste gas purification system through the conveying pipeline.

[0017] Furthermore, the analysis of the abnormal value a of various operating data of each motor is specifically as follows:

[0018] ;

[0019] in, It is represented as the abnormal value of the j-th operating data of the i-th motor, It is represented as the actual value of the jth operating data of the i-th motor. It is represented as the fitting curve value of the j-th operating data of the i-th motor, It is represented as the mean of the fitting curves of the j-th operating data of all motors.

[0020] Furthermore, the SVDD algorithm model is used to analyze whether various estimated abnormal data of each motor are credible, specifically:

[0021] By using various historical operating data of each motor as training samples, corresponding SVDD algorithm models are constructed and trained for various operating data of each motor, and the hypersphere diameter of each trained SVDD algorithm model is obtained;

[0022] The corresponding trained SVDD algorithm model is used to analyze the distance d between the various estimated abnormal data of each motor and the center of the hypersphere of the corresponding SVDD algorithm model. If d is greater than the diameter of the hypersphere of the corresponding SVDD algorithm model, the corresponding estimated abnormal data is credible.

[0023] Furthermore, the analysis of the comprehensive abnormal value A of each motor is specifically as follows:

[0024] ;

[0025] Where J represents the number of types of operating data, Expressed as the influencing factor of the j-th operating data of the ith motor.

[0026] Furthermore, the exhaust gas purification treatment equipment includes a dust collector, a cooling device, a wet scrubber and an activated carbon adsorption device.

[0027] Furthermore, the wet scrubber includes an acidic chemical scrubber and an alkaline chemical scrubber.

[0028] Furthermore, the acidic chemical scrubber and the alkaline chemical scrubber are each provided with a dosing pipeline, a scrubbing liquid storage tank, an electric water pump, a spray box and a spray head;

[0029] The dosing pipe is in communication with the corresponding washing liquid storage tank, so as to allow the washing liquid to be added from the dosing pipe to the corresponding washing liquid storage tank;

[0030] The spray box is provided with an air inlet, an air outlet and a spray head. The air inlet is provided at the bottom of the side of the spray box, the air outlet is provided at the top of the spray box, and the spray head is provided at the top inside the spray box.

[0031] The electric water pump is used to draw washing liquid from the washing liquid storage tank and spray it from the spray head to wash the exhaust gas.

[0032] Furthermore, a gas flow sensor is provided at the air inlet for detecting the exhaust gas flow;

[0033] The washing liquid storage tank is provided with a liquid level sensor for detecting the remaining storage amount of washing liquid;

[0034] The monitoring center uses a pre-trained deep learning model to predict the required amount of washing liquid and the required pumping power for the acidic chemical washing tower and the alkaline chemical washing tower according to the exhaust gas flow rate, and controls the corresponding electric water pumps to adjust the pumping power. If the remaining storage amount of washing liquid in the washing liquid storage tank is less than the corresponding required amount of washing liquid, or the absolute value of the difference between the remaining storage amount of washing liquid and the corresponding required amount of washing liquid is less than the preset capacity threshold, an insufficient washing liquid alarm is issued.

[0035] Furthermore, the final pipeline opening decision is analyzed based on the concentration of various pollutants, specifically:

[0036] If the concentration of any pollutant is greater than the corresponding preset concentration threshold, the reflux pipe will be opened to allow the exhaust gas to re-enter the exhaust gas purification system for re-purification; if the concentration of all pollutants is less than the corresponding preset concentration threshold, the exhaust pipe will be opened to discharge the gas.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The present invention analyzes the abnormal value of each operating data of each motor through an abnormal monitoring module, and uses the operating data with abnormal values ​​greater than the corresponding preset abnormal threshold as estimated abnormal data, and then uses the SVDD algorithm model to analyze whether the estimated abnormal data of each motor is credible to determine the real abnormal data, and finally analyzes the comprehensive abnormal value of each motor according to the abnormal value of the real abnormal data of each motor, and then determines whether the motor of the exhaust gas purification treatment equipment is abnormal, and promptly discovers whether the motor operation status of each exhaust gas purification treatment equipment is abnormal. Through the alarm module, when the motor has an operating abnormality, the corresponding operating abnormality information is generated and sent to the staff, so that the staff can promptly inspect, repair and correct the data of the corresponding motor according to the operating abnormality information, to ensure that the exhaust gas is effectively purified in each link, and further make the final pipeline opening decision according to the pollutant concentration after purification, to avoid the discharge of unpurified exhaust gas that does not meet the standards, and further improve the effectiveness of exhaust gas treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0041] Figure 1 It is a structural block diagram of an exhaust gas treatment system for a waste aluminum recovery furnace of the present invention;

[0042] Figure 2 It is a flow chart of the present invention for judging abnormal operation of the motor of each exhaust gas purification treatment equipment. DETAILED DESCRIPTION

[0043] 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.

[0044] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0045] In addition, the descriptions of "first", "second", etc. in the present invention are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0046] Embodiment 1

[0047] See also Figure 1 As shown, the present invention provides a waste gas treatment system for a waste aluminum recovery furnace, which is composed of a monitoring center, a waste gas collection system, a waste gas purification system and an effect monitoring system.

[0048] The monitoring center is used to monitor the exhaust gas collection system, the exhaust gas purification system and the effect monitoring system.

[0049] The exhaust gas collection system is used to collect and transport exhaust gas.

[0050] The exhaust gas collection system includes a chimney hood, an induced draft fan and a conveying pipeline.

[0051] The chimney hood is connected to the furnace outlet of the scrap aluminum recovery furnace to collect waste gas, and then the exhaust gas is transported to the exhaust gas purification system through the conveying pipeline by the induced draft fan for exhaust gas purification treatment.

[0052] The exhaust gas purification system is composed of a variety of exhaust gas purification treatment equipment, an abnormality monitoring module and an alarm module, and is used to purify the exhaust gas.

[0053] The abnormality monitoring module is used to determine the operating abnormality of the motor of each exhaust gas purification treatment equipment.

[0054] See also Figure 2 As shown, the abnormal operation judgment of the motor of each exhaust gas purification treatment equipment specifically includes the following steps:

[0055] S1. For each motor of the exhaust gas purification treatment equipment, various operation data of the motor are obtained;

[0056] S2, analyzing the abnormal values ​​a of various operating data of each motor, and taking the operating data whose abnormal values ​​are greater than the preset abnormal threshold of the corresponding type of operating data as estimated abnormal data;

[0057] S3, analyzing whether various estimated abnormal data of each motor through the SVDD algorithm model are credible, and if credible, taking the corresponding estimated abnormal data as the real abnormal data;

[0058] The SVDD algorithm is a single-classification algorithm developed from the support vector machine theory. Its principle is to map the original training data into a high-dimensional feature space, and then find a hypersphere with the smallest volume that contains all or most of the training data mapped to the feature space. For the detection data, if it falls into the hypersphere, that is, the distance from the detection data to the center of the sphere is less than or equal to the diameter of the sphere, it is regarded as a normal point, otherwise it is an abnormal point.

[0059] S4, analyzing the comprehensive abnormal value A of each motor according to the abnormal value a of the real abnormal data of each motor;

[0060] S5. The motor whose comprehensive abnormality value A is greater than the preset comprehensive abnormality threshold is judged as having an operating abnormality.

[0061] The operating data include, but are not limited to: current, voltage, temperature, vibration, rotation speed and magnetic flux, etc.

[0062] The acquired operating data is data that has undergone data preprocessing, and the data preprocessing includes but is not limited to: data cleaning (noise removal, filling missing values), data (normalization, standardization and encoding conversion) and data enhancement, etc.

[0063] The analysis of the abnormal values ​​a of various operating data of each motor is specifically as follows:

[0064] ;

[0065] in, It is represented as the abnormal value of the j-th operating data of the i-th motor, It is represented as the actual value of the jth operating data of the i-th motor. It is represented as the fitting curve value of the j-th operating data of the i-th motor, It is represented as the mean of the fitting curves of the j-th operating data of all motors.

[0066] The SVDD algorithm model is used to analyze whether the various estimated abnormal data of each motor are credible, specifically:

[0067] By using various historical operating data of each motor as training samples, corresponding SVDD algorithm models are constructed and trained for various operating data of each motor, and the hypersphere diameter of each trained SVDD algorithm model is obtained;

[0068] The corresponding trained SVDD algorithm model is used to analyze the distance d between the various estimated abnormal data of each motor and the center of the hypersphere of the corresponding SVDD algorithm model. If d is greater than the diameter of the hypersphere of the corresponding SVDD algorithm model, the corresponding estimated abnormal data is credible.

[0069] The diameter of the hypersphere is the distance from the surface of the hypersphere to the center of the hypersphere.

[0070] The analysis of the comprehensive abnormal value A of each motor is specifically as follows:

[0071] ;

[0072] in, represents the comprehensive abnormal value of the i-th motor, J represents the number of types of operating data, Expressed as the influencing factor of the j-th operating data of the ith motor.

[0073] The SVDD algorithm is a single classification algorithm developed from the support vector machine theory. Its principle is to map the original training data into a high-dimensional feature space, and then find a hypersphere with the smallest volume that contains all or most of the training data mapped to the feature space. For the detection data, if it falls into the hypersphere, that is, the distance from the detection data to the center of the sphere is less than or equal to the diameter of the sphere, it is regarded as a normal point, otherwise it is an abnormal point.

[0074] The alarm module is used to generate corresponding abnormal operation information and send it to the staff when the motor has abnormal operation. Specifically, it is sent to the monitoring center to notify the staff. The abnormal operation information includes the motor position of the abnormal motor and the data type and data value of the corresponding real abnormal data.

[0075] In some embodiments, the exhaust gas purification equipment includes but is not limited to: a dust collector, a cooling device, a wet scrubber, etc., each of which is connected to a corresponding motor to provide operating power.

[0076] In some embodiments, the exhaust gas purification system also includes a temperature monitoring module for monitoring and adjusting the temperature of each exhaust gas purification treatment equipment to prevent the temperature of the exhaust gas purification treatment equipment from being too high or too low, resulting in reduced exhaust gas purification treatment effect and rapid shortening of equipment life. For example: excessively high temperature of the bag filter will accelerate the aging of the filter bag and shorten its service life, and temperature changes may affect the adhesion and fluidity of the dust, affecting the dust removal effect; temperature will also affect the rate of chemical reactions occurring in the wet scrubber, thereby affecting the removal efficiency of pollutants; temperature also affects the adsorption properties of activated carbon. Excessively high temperature may cause the adsorption capacity to decrease, affecting the treatment effect, etc.

[0077] The temperature monitoring module includes: a temperature sensor and a temperature regulating device.

[0078] In some embodiments, the wet scrubber includes an acidic chemical scrubber and an alkaline chemical scrubber.

[0079] The acidic chemical scrubber and the alkaline chemical scrubber are each provided with a dosing pipeline, a scrubbing liquid storage tank, an electric water pump, a spray tank and a spray head;

[0080] The dosing pipe is in communication with the corresponding washing liquid storage tank, so as to allow the washing liquid to be added from the dosing pipe to the corresponding washing liquid storage tank;

[0081] The spray box is provided with an air inlet, an air outlet and a spray head. The air inlet is provided at the bottom of the side of the spray box, the air outlet is provided at the top of the spray box, and the spray head is provided at the top inside the spray box.

[0082] The electric water pump is used to draw washing liquid from the washing liquid storage tank and spray it from the spray head to wash the exhaust gas.

[0083] For example, the acidic chemical washing tower includes a first dosing pipe, an acidic washing liquid storage tank, a first electric water pump, a first spray box, a first spray head, a first air inlet and a first air outlet; the washing liquid stored in the acidic washing liquid storage tank is acidic; the alkaline chemical washing tower includes a second dosing pipe, an alkaline washing liquid storage tank, a second electric water pump, a second spray box, a second spray head, a second air inlet and a second air outlet; the washing liquid stored in the alkaline washing liquid storage tank is alkaline.

[0084] The first air inlet is arranged at the bottom of the side of the first spray box, the first spray head is arranged at the top of the first spray box, the first air outlet is arranged at the top of the first spray box and is connected with the second air inlet through a pipe, the second air inlet is arranged at the bottom of the side of the second spray box, the second spray head is arranged at the top of the second spray box, and the second air outlet is arranged at the top of the second spray box; the first dosing pipe is used to add acidic detergent to the acidic detergent storage tank, and the second dosing pipe is used to add alkaline detergent to the alkaline detergent storage tank; the first electric water pump is used to draw acidic detergent from the acidic detergent storage tank to the first spray head for spraying, and the second electric water pump is used to draw alkaline detergent from the alkaline detergent storage tank to the second spray head for spraying.

[0085] The main function of the motor is to convert electrical energy into mechanical energy. It is the main power source for many equipment in modern industry and daily life. For example, the motor in the dust collector is usually used to drive the fan to inhale the exhaust gas. The speed of the motor affects the air flow and pressure generated by the fan. The motor speed affects the air flow speed and thus affects the dust removal effect of the dust collector. Some main components of the wet scrubber also need to be driven by a motor. For example, after the exhaust gas enters the spray box, the washing liquid is extracted at a corresponding speed through the corresponding motor drive and control of the electric water pump, and then the washing liquid is sprayed on the exhaust gas through the corresponding motor drive and control of the spray head switch to purify the washing liquid. For example, the motor corresponding to the cooling device drives and controls the cooling pump to circulate the coolant (such as water or special coolant) through the cooling channel or external radiator, etc.

[0086] It should be noted that the specific connection methods and circuits between the above devices and the required motors and the specific driving principles of the motors all belong to the prior art and will not be described in detail here.

[0087] In some embodiments, a gas flow sensor is provided at the air inlet for detecting the exhaust gas flow;

[0088] The washing liquid storage tank is provided with a liquid level sensor for detecting the remaining storage amount of washing liquid;

[0089] The monitoring center uses a pre-trained deep learning model to predict the required amount of washing liquid and the required pumping power for the acidic chemical washing tower and the alkaline chemical washing tower according to the exhaust gas flow rate, and controls the corresponding electric water pumps to adjust the pumping power. If the remaining storage amount of washing liquid in the washing liquid storage tank is less than the corresponding required amount of washing liquid, or the absolute value of the difference between the remaining storage amount of washing liquid and the corresponding required amount of washing liquid is less than the preset capacity threshold, an insufficient washing liquid alarm is issued.

[0090] The effect monitoring system includes a concentration sensor module and a decision module.

[0091] Concentration sensor module, used to detect the concentration of different pollutants in the exhaust gas after purification;

[0092] The decision module is used to analyze the final pipeline opening decision based on the concentration of various pollutants, specifically:

[0093] If the concentration of any pollutant is greater than the corresponding preset concentration threshold, the reflux pipe will be opened to allow the exhaust gas to re-enter the exhaust gas purification system for re-purification; if the concentration of all pollutants is less than the corresponding preset concentration threshold, the exhaust pipe will be opened to discharge the gas.

[0094] Embodiment 2

[0095] The present invention also provides an electronic device, including: a processor, a sending device, an input device, an output device and a memory. The processor can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit, or one or more integrated circuits, and is used to execute relevant programs to implement the technical solution provided in the embodiment of the present application. The memory can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device or a random access memory (RAM), and is used to store computer program code. The computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes a method as described in any of the above possible implementation methods.

[0096] Embodiment 3

[0097] The present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes a method as described in any possible implementation manner.

[0098] The beneficial effects of the present invention are:

[0099] The present invention analyzes the abnormal value of each operating data of each motor through an abnormal monitoring module, and uses the operating data with abnormal values ​​greater than the corresponding preset abnormal threshold as estimated abnormal data, and then uses the SVDD algorithm model to analyze whether the estimated abnormal data of each motor are credible to determine the real abnormal data, and finally analyzes the comprehensive abnormal value of each motor according to the abnormal value of the real abnormal data of each motor, and then determines whether the motor of the exhaust gas purification treatment equipment is abnormal, and promptly discovers whether the motor operation status of each exhaust gas purification treatment equipment is abnormal, ensuring that the exhaust gas is effectively purified in each link, and further makes a final pipeline opening decision according to the pollutant concentration after purification, avoiding the discharge of unpurified exhaust gas that does not meet the standards, and further improving the effectiveness of exhaust gas treatment.

[0100] In the description of the specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0101] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method of each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (RandomAccess Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0102] The foregoing is merely a specific embodiment of the present invention, which enables those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features claimed herein.

Claims

1. An exhaust gas treatment system for a waste aluminum recovery furnace, characterized in that: include: Monitoring center, waste gas collection system, waste gas purification system and effect monitoring system; The waste gas collection system is used to collect the waste gas discharged from the waste aluminum recovery furnace and transport it to the waste gas purification system; The exhaust gas purification system includes an abnormality monitoring module, an alarm module and a variety of exhaust gas purification and treatment equipment; The abnormality monitoring module is used to determine the abnormal operation of the motor of each exhaust gas purification treatment equipment, specifically: For each motor of the exhaust gas purification equipment, obtain various operating data of the motor; Analyze the abnormal value a of various operating data of each motor, and take the operating data whose abnormal value is greater than the preset abnormal threshold of the corresponding type of operating data as estimated abnormal data; The SVDD algorithm model is used to analyze whether the various estimated abnormal data of each motor are credible. If credible, the corresponding estimated abnormal data is used as the real abnormal data; According to the abnormal value a of the real abnormal data of each motor, the comprehensive abnormal value A of each motor is analyzed, which is specifically: ； in, It is represented as the abnormal value of the j-th operating data of the i-th motor, It is represented as the actual value of the jth operating data of the i-th motor. It is represented as the fitting curve value of the j-th operating data of the i-th motor, It is represented as the mean of the fitting curves of the j-th operating data of all motors, represents the comprehensive abnormal value of the i-th motor, J represents the number of types of operating data, It is expressed as the influencing factor of the j-th operating data of the i-th motor; The motor whose comprehensive abnormality value A is greater than the preset comprehensive abnormality threshold is judged to have an operating abnormality; An alarm module is used to generate corresponding abnormal operation information and send it to the staff when the motor has abnormal operation. The abnormal operation information includes the motor position of the abnormal motor and the data type and data value of the corresponding real abnormal data; The effect monitoring system includes a concentration sensor module and a decision-making module; Concentration sensor module, used to detect the concentration of different pollutants in the exhaust gas after purification; The decision module is used to analyze the final pipeline opening decision based on the concentration of various pollutants.

2. The waste gas treatment system for a waste aluminum recovery furnace according to claim 1 is characterized in that: The waste gas collection system includes a chimney hood, an induced draft fan and a conveying pipeline; the chimney hood is connected to the furnace outlet of the scrap aluminum recovery furnace to collect waste gas, and then the induced draft fan is used to transport the waste gas to the waste gas purification system through the conveying pipeline.

3. The waste gas treatment system for a waste aluminum recovery furnace according to claim 1 is characterized in that: The SVDD algorithm model is used to analyze whether the various estimated abnormal data of each motor are credible, specifically: By using various historical operating data of each motor as training samples, corresponding SVDD algorithm models are constructed and trained for various operating data of each motor, and the hypersphere diameter of each trained SVDD algorithm model is obtained; The corresponding trained SVDD algorithm model is used to analyze the distance d between the various estimated abnormal data of each motor and the center of the hypersphere of the corresponding SVDD algorithm model. If d is greater than the diameter of the hypersphere of the corresponding SVDD algorithm model, the corresponding estimated abnormal data is credible.

4. The waste gas treatment system for a waste aluminum recovery furnace according to claim 1 is characterized in that: The exhaust gas purification treatment equipment includes a dust collector, a cooling device and a wet scrubber, each of which is connected to a corresponding motor to provide operating power.

5. The waste gas treatment system for a waste aluminum recovery furnace according to claim 4 is characterized in that: The wet scrubber includes an acidic chemical scrubber and an alkaline chemical scrubber.

6. The waste gas treatment system for a waste aluminum recovery furnace according to claim 5 is characterized in that: The acidic chemical scrubber and the alkaline chemical scrubber are each provided with a dosing pipeline, a scrubbing liquid storage tank, an electric water pump, a spray tank and a spray head; The dosing pipe is in communication with the corresponding washing liquid storage tank, so as to allow the washing liquid to be added from the dosing pipe to the corresponding washing liquid storage tank; The spray box is provided with an air inlet, an air outlet and a spray head. The air inlet is provided at the bottom of the side of the spray box, the air outlet is provided at the top of the spray box, and the spray head is provided at the top inside the spray box. The electric water pump is used to draw washing liquid from the washing liquid storage tank and spray it from the spray head to wash the exhaust gas.

7. The waste gas treatment system for a waste aluminum recovery furnace according to claim 6 is characterized in that: A gas flow sensor is provided at the air inlet to detect the exhaust gas flow; The washing liquid storage tank is provided with a liquid level sensor for detecting the remaining storage amount of washing liquid; The monitoring center uses a pre-trained deep learning model to predict the required amount of washing liquid and the required pumping power for the acidic chemical washing tower and the alkaline chemical washing tower according to the exhaust gas flow rate, and controls the corresponding electric water pumps to adjust the pumping power. If the remaining storage amount of washing liquid in the washing liquid storage tank is less than the corresponding required amount of washing liquid, or the absolute value of the difference between the remaining storage amount of washing liquid and the corresponding required amount of washing liquid is less than the preset capacity threshold, an insufficient washing liquid alarm is issued.

8. The waste gas treatment system for a waste aluminum recovery furnace according to claim 1 is characterized in that: The final pipeline opening decision is analyzed based on the concentration of various pollutants, specifically: If the concentration of any pollutant is greater than the corresponding preset concentration threshold, the reflux pipe will be opened to allow the exhaust gas to re-enter the exhaust gas purification system for re-purification; if the concentration of all pollutants is less than the corresponding preset concentration threshold, the exhaust pipe will be opened to discharge the gas.

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