Automatic control system applied to air compressor of smelting furnace

Abstract

The invention discloses an automatic control system applied to an air compressor of a smelting furnace, relates to the technical field of air compressor control, and solves the technical problems that in the prior art, control layer detection cannot be carried out, the maintenance pertinence of the air compressor is reduced, and accurate traceability maintenance cannot be carried out. Specifically, a sensing layer detection unit performs sensor operation detection on a smelting furnace air compressor, acquires deviation identification data and deviation influence data, and deduces whether sensing layer detection is normal or not according to data analysis; the control layer detection unit is used for carrying out control layer detection on the air compressor of the smelting furnace, collecting control error information and control repair information, and deducing whether the control layer detection is normal or not according to information comparison; the execution layer detection unit is used for performing execution layer detection on the smelting furnace air compressor, acquiring execution lag influence information and execution accumulation buffer information, and analyzing and deducing whether the execution layer detection is normal or not according to the information.

Description

Technical Field

[0001] The invention relates to the technical field of air compressor control, and in particular to an automatic control system applied to a smelting furnace air compressor. Background Art

[0002] A melting furnace is an industrial equipment used to melt metal or other materials. Different types of melting furnaces differ in their working principles, structural characteristics and gas requirements. The air compressor is a key equipment for providing compressed air for the melting furnace, and its operating status directly affects the melting process.

[0003] However, in the prior art, target control analysis cannot be performed when the smelting furnace air compressor is running, so that the operating efficiency cannot be determined in real time, which reduces the operating quality of the smelting furnace. The sensor layer cannot be monitored, so that the rationality of data collection cannot be guaranteed. At the same time, the control layer cannot be detected, which reduces the targeted maintenance of the air compressor and cannot accurately trace the source for maintenance.

[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 automatic control system for a smelting furnace air compressor.

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

[0007] The automatic control system applied to the air compressor of the smelting furnace includes an automatic control platform, and the automatic control platform is communicatively connected with a target control evaluation unit, a sensor layer detection unit, a control layer detection unit and an execution layer detection unit;

[0008] The target control evaluation unit performs target control analysis on the smelting furnace air compressor, collects target control information, obtains the target control evaluation coefficient through calculation, and divides the operating time period into an inefficient control period and an efficient control period according to the coefficient comparison;

[0009] The sensor layer detection unit performs sensor operation detection on the smelting furnace air compressor, collects deviation identification data and deviation impact data, and infers whether the sensor layer detection is normal based on data analysis;

[0010] The control layer detection unit performs control layer detection on the smelting furnace air compressor, collects control error information and control repair information, and infers whether the control layer detection is normal based on information comparison;

[0011] The execution layer detection unit performs execution layer detection on the smelting furnace air compressor, collects execution delay impact information and execution cumulative buffer information, and infers whether the execution layer detection is normal based on information analysis.

[0012] As a preferred embodiment of the present invention, the target control information includes the span ratio of the duration of the compressed air pressure at the outlet of the air compressor being constant at a set value during the operation of the smelting furnace air compressor and the floating span of the average air circulation velocity in each part of the smelting furnace, the span value ratio of the rising span of the stable peak value of the key components during the operation of the smelting furnace air compressor and the span of the starting temperature drop of the secondary operation, and the span value ratio of the increase span of the average operating current of the air compressor motor during the operation of the smelting furnace air compressor and the span of the decrease span of the current motor operating circuit resistance value.

[0013] As a preferred embodiment of the present invention, if the target control evaluation coefficient exceeds the target control evaluation coefficient threshold, the current operating period is marked as an inefficient control period; if the target control evaluation coefficient does not exceed the target control evaluation coefficient threshold, the current operating period is marked as an efficient control period.

[0014] As a preferred embodiment of the present invention, the deviation identification data and the deviation impact data are respectively the numerical deviation frequency of the air pressure floating value and the floating statistical value at the same time when the smelting furnace air compressor provides compressed air to stabilize within the set range under different operating conditions, and the delay time between the time when the irreversible change of the internal operating parameter value of the smelting furnace air compressor occurs and the operation warning time under the same operating condition.

[0015] As a preferred embodiment of the present invention, if the deviation identification data exceeds the numerical deviation frequency threshold at the same moment, or the deviation impact data exceeds the moment delay duration threshold, a sensing layer abnormal signal is generated; if the deviation identification data does not exceed the numerical deviation frequency threshold at the same moment, and the deviation impact data does not exceed the moment delay duration threshold, a sensing layer normal signal is generated.

[0016] As a preferred embodiment of the present invention, after the automation control platform receives the abnormal signal from the sensor layer, it performs hardware sensor operation and maintenance on the sensor layer, and if the smelting furnace air compressor is in an inefficient control period, the wear reporting level of the internal components of the air compressor is increased, and if the smelting furnace air compressor is in an efficient control period, the internal components of the air compressor are maintained before operation; when the normal signal from the sensor layer is received, targeted operation maintenance and operation continuity are performed for the inefficient control period or the efficient control period, and the wear reporting level is based on real-time detection.

[0017] As a preferred embodiment of the present invention, the control error information and the control repair information are respectively the increase span of the deviation value of the number of times of over-range control and actual over-range control analyzed by the control logic when the control layer receives the transmission signal of the sensor layer during the operation stage, and the decrease span of the frequency of over-range control detected at any time when the control logic of the control layer is continuously updated during the operation stage;

[0018] If the control error information exceeds the deviation increase span threshold, or the control repair information does not exceed the frequency decrease span threshold, a control layer abnormal signal is generated; if the control error information does not exceed the deviation increase span threshold, and the control repair information does not exceed the frequency decrease span threshold, a control layer normal signal is generated.

[0019] As a preferred embodiment of the present invention, after the automation control platform receives the abnormal signal of the control layer, it counts the faults that occur when the current air compressor operation instruction is executed, and calibrates this type of fault and calibrates it as a control layer-affected fault. During the operation and maintenance of the air compressor, the control logic of the control layer is repaired. If the control layer-affected fault does not occur, this type of fault will not be included in the historical work log of the air compressor fault type; after the automation control platform receives the normal signal of the control layer, it marks the fault that occurs when the current air compressor operation instruction is executed as a non-control fault, and gives priority to detecting the component itself when repairing this type of fault.

[0020] As a preferred embodiment of the present invention, the execution lag impact information and the execution cumulative buffer information are respectively the maximum speed deviation between the air compressor motor speed and the real-time required speed within the delay time corresponding to the required variable frequency operation time and the execution variable frequency operation time during the air compressor operation stage, and the reciprocating deviation cumulative value of the real-time execution operation corresponding to the adjacent interval time when the air compressor operation operations are successively executed during the air compressor operation stage;

[0021] If the execution delay impact information exceeds the maximum speed deviation threshold, or the execution cumulative buffer information exceeds the duration deviation cumulative threshold, an execution layer abnormal signal is generated; if the execution delay impact information does not exceed the maximum speed deviation threshold, and the execution cumulative buffer information exceeds the duration deviation cumulative threshold, an execution layer normal signal is generated.

[0022] As a preferred embodiment of the present invention, after the automation control platform receives an abnormal signal from the execution layer, if the current operating period is an inefficient control period, the air compressor variable frequency operation or the delay period in the operation execution within the current period is used as the starting point of the maintenance period, and the operation route is checked and the operation log is performed from the starting point of the maintenance period.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] 1. In the present invention, a target control analysis is performed on the smelting furnace air compressor, and through the target control analysis, it is inferred whether the current operating state of the smelting furnace air compressor meets the actual operating requirements, and the operating efficiency is detected under different states of the smelting furnace air compressor, thereby ensuring the high efficiency and rationality of the operation of the smelting furnace air compressor, improving the operating performance of the smelting furnace air compressor, and enhancing the smelting quality of the smelting furnace;

[0025] The sensor operation detection is carried out on the smelting furnace air compressor. The sensor layer detection is used to infer whether the real-time sensor data collection is reasonable during the current smelting furnace air compressor target control evaluation, thereby improving the maintenance efficiency of the smelting furnace air compressor and ensuring the real-time operation quality of the normally operating smelting furnace air compressor.

[0026] 2. In the present invention, the control layer detection is performed on the smelting furnace air compressor. Through the control layer detection, it can be inferred whether the electrical control instructions are executed properly when the air compressor is running, so as to determine the source of the abnormal operation of the air compressor and improve the maintenance efficiency. It can also detect the control risk when the operation is normal and reduce the operation risk of the electrified control;

[0027] Perform execution layer detection on the air compressor to effectively infer whether there is an execution layer abnormality in the current air compressor, and screen the fault types caused by the execution layer abnormality, so as to improve the efficiency of automatic control of air compressor operation, improve the targeted inspection and repair of air compressor faults, and reduce the difficulty of screening fault types. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0029] Figure 1 It is a system principle block diagram of the present invention;

[0030] Figure 2 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0031] 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.

[0032] 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.

[0033] See also Figure 1As shown, the automation control system applied to the smelting furnace air compressor includes an automation control platform, which is connected to the target control evaluation unit, the sensor layer detection unit, the control layer detection unit and the execution layer detection unit in communication; please refer to Figure 2 As shown, the process of the automated control method is as follows:

[0034] The automation control platform generates a target control evaluation signal and sends the target control evaluation signal to the target control evaluation unit. After receiving the target control evaluation signal, the target control evaluation unit performs target control analysis on the smelting furnace air compressor. Through the target control analysis, it is inferred whether the current operating state of the smelting furnace air compressor meets the actual operating requirements, and the operating efficiency is detected under different states of the smelting furnace air compressor, thereby ensuring the high efficiency and rationality of the operation of the smelting furnace air compressor, improving the operating performance of the smelting furnace air compressor, and enhancing the smelting quality of the smelting furnace;

[0035] Obtain the time span ratio of the compressed air pressure at the outlet of the air compressor to the set value during the operation of the air compressor of the smelting furnace and the floating span of the average value of the air circulation velocity of each part of the smelting furnace, wherein the time span ratio is expressed as the ratio of the corresponding values ​​of the time and span, and does not consider the influence of inconsistent units and only counts the influence of the floating value, and the time span ratio of the compressed air pressure at the outlet of the air compressor to the set value during the operation of the air compressor of the smelting furnace and the floating span of the average value of the air circulation velocity of each part of the smelting furnace is marked as SKB;

[0036] The numerical ratio of the stable peak value rise span of the key components during the operation of the smelting furnace air compressor to the corresponding span value of the secondary operation starting temperature drop span is obtained, and the numerical ratio of the stable peak value rise span of the key components during the operation of the smelting furnace air compressor to the corresponding span value of the secondary operation starting temperature drop span is marked as KDB; the key parts are represented as the air compressor motor, cylinder and other parts that are indispensable for operation;

[0037] Obtain the span value ratio of the average increase span of the air compressor motor running current during the operation of the smelting furnace air compressor to the span value ratio of the current motor running circuit resistance value decrease span, and mark the span value ratio of the average increase span of the air compressor motor running current during the operation of the smelting furnace air compressor to the span value ratio of the current motor running circuit resistance value decrease span as LRB;

[0038] The above collected data are uniformly marked as target control information, and substituted into the formula to obtain the target control evaluation coefficient during the operation of the smelting furnace air compressor, where the formula is:

[0039] Among them, BJ is the target control evaluation coefficient during the operation of the smelting furnace air compressor, xfd1, xfd2 and xfd3 are preset proportional coefficients, and the preset proportional coefficients are all positive integers greater than 1, and β is an error correction factor with a value of 0.87;

[0040] Compare the target control evaluation coefficient with the target control evaluation coefficient threshold during the operation of the smelting furnace air compressor:

[0041] If the target control evaluation coefficient during the operation of the smelting furnace air compressor exceeds the target control evaluation coefficient threshold, it is inferred that the evaluation of the operation process of the smelting furnace air compressor is abnormal, and the current operation period is marked as an inefficient control period;

[0042] If the target control evaluation coefficient during the operation of the smelting furnace air compressor does not exceed the target control evaluation coefficient threshold, it is inferred that the evaluation of the operation process of the smelting furnace air compressor is normal, and the current operation period is marked as a high-efficiency control period;

[0043] The low-efficiency control period and the high-efficiency control period are sent together to the automatic control platform. After receiving the information, the automatic control platform performs operation and maintenance on the air compressor of the smelting furnace.

[0044] At the same time, a sensing layer detection signal is generated and sent to the sensing layer detection unit. After receiving the sensing layer detection signal, the sensing layer detection unit performs sensor operation detection on the smelting furnace air compressor. Through the sensing layer detection, it is inferred whether the real-time sensor data collection is reasonable during the current smelting furnace air compressor target control evaluation, thereby improving the maintenance efficiency of the smelting furnace air compressor and ensuring the real-time operation quality of the normally operating smelting furnace air compressor.

[0045] The numerical deviation frequency of the floating value of the air pressure and the floating statistical value at the same time when the air compressor of the smelting furnace provides compressed air to stabilize within the set range under different working conditions is obtained, and the numerical deviation frequency of the floating value of the air pressure and the floating statistical value at the same time when the air compressor of the smelting furnace provides compressed air to stabilize within the set range under different working conditions is marked as deviation identification data;

[0046] Obtain the delay time between the time when the irreversible change of the internal operating parameter value of the smelting furnace air compressor occurs and the operation warning time under the same working condition, and mark the delay time between the time when the irreversible change of the internal operating parameter value of the smelting furnace air compressor occurs and the operation warning time under the same working condition as deviation impact data, where the operating parameters are represented by parameters such as the operating temperature and pressure of the air compressor, and the irreversible change is represented by the operating parameter value floating exceeding the range of the corresponding value type and not returning to the range at adjacent times;

[0047] And the deviation identification data and deviation impact data are compared with the moment value deviation frequency threshold and moment delay duration threshold respectively:

[0048] If the deviation identification data exceeds the numerical deviation frequency threshold at the same moment, or the deviation impact data exceeds the moment delay duration threshold, it is inferred that the sensor layer detection of the smelting furnace air compressor is abnormal, and a sensor layer abnormal signal is generated and sent to the automation control platform; if the deviation identification data does not exceed the numerical deviation frequency threshold at the same moment, and the deviation impact data does not exceed the moment delay duration threshold, it is inferred that the sensor layer detection of the smelting furnace air compressor is normal, and a sensor layer normal signal is generated and sent to the automation control platform;

[0049] After receiving the abnormal signal from the sensor layer, the automation control platform will perform maintenance and repair on the hardware sensors of the sensor layer. If the smelting furnace air compressor is in an inefficient control period, the wear reporting degree of the internal components of the air compressor will be increased. If the smelting furnace air compressor is in an efficient control period, the internal components of the air compressor will be maintained before operation. If the normal signal from the sensor layer is received, targeted operation maintenance and operation continuity will be carried out for the inefficient control period or the efficient control period type, and the wear reporting degree will be based on real-time detection, where the wear reporting degree is expressed as the span or duration of the component's operating parameters exceeding the range.

[0050] After the sensor layer detection is completed and the sensor layer is normal, a control layer detection signal is generated and sent to the control layer detection unit. After receiving the control layer detection signal, the control layer detection unit performs control layer detection on the smelting furnace air compressor. The control layer represents the electrical command control components of the air compressor, such as PLC and other components. Through the control layer detection, it can be inferred whether the electrical control command execution is qualified when the air compressor is running, so as to determine the source of the abnormal operation of the air compressor and improve the maintenance efficiency. It can also detect the control risk when the operation is normal and reduce the operation risk of the electrified control;

[0051] When the control layer receives the signal transmitted by the sensor layer during the operation phase, the control logic analyzes the increase span of the deviation value of the corresponding number of times of over-range control and actual over-range control, and marks the increase span of the deviation value of the corresponding number of times of over-range control and actual over-range control analyzed by the control logic when the control layer receives the signal transmitted by the sensor layer during the operation phase as control error information, wherein the control logic is represented by the control logic of the control layer. For example, when the sensor layer detects a current drop, the control logic of the control layer will increase the current supply value according to the real-time current, and the over-range control is represented by the control demand of the signal transmitted by the sensor layer exceeding the corresponding parameter range. For example, if the sensor infers that the current drop requires the control layer to increase the current, but the real-time current has exceeded the set current range, then continuing to execute the control with the control logic at this time is over-range control;

[0052] Obtain the out-of-range control frequency reduction span detected at any time when the control logic of the control layer is continuously updated during the operation phase, and mark the out-of-range control frequency reduction span detected at any time when the control logic of the control layer is continuously updated during the operation phase as control repair information;

[0053] The control error information and control repair information are compared with the deviation increase span threshold and frequency decrease span threshold respectively:

[0054] If the control error information exceeds the deviation increase span threshold, or the control repair information does not exceed the frequency decrease span threshold, it is inferred that the control logic adjustment and repair efficiency of the control layer during the operation stage of the smelting furnace air compressor is low, and a control layer abnormality signal is generated and sent to the automation control platform. After receiving the control layer abnormality signal, the automation control platform counts the faults that occur at the time of the current air compressor operation instruction execution, and calibrates this type of fault and calibrates it as a control layer-affected fault. During the operation and maintenance of the air compressor, the control logic of the control layer is repaired. If the control layer-affected fault does not occur, this type of fault will not be included in the historical work log of the air compressor fault type.

[0055] If the control error information does not exceed the deviation increase span threshold, and the control repair information does not exceed the frequency decrease span threshold, it is inferred that the control logic adjustment and repair efficiency of the control layer during the operation phase of the smelting furnace air compressor is high, and a control layer normal signal is generated and sent to the automatic control platform. After receiving the control layer normal signal, the automatic control platform marks the fault occurring at the time of the current air compressor operation instruction execution as a non-control fault, and gives priority to the detection of the component itself when repairing such a fault;

[0056] After completing the control layer detection, an execution layer detection signal is generated and sent to the execution layer detection unit. After receiving the execution layer detection signal, the execution layer detection unit performs execution layer detection on the air compressor. The execution layer represents the components that execute the operation control of the air compressor, such as the frequency converter and other components. Through the execution layer detection, it is effectively inferred whether there is an execution layer abnormality in the current air compressor, and the fault type caused by the execution layer abnormality is screened, so as to improve the efficiency of the air compressor operation automation control, and also improve the pertinence of the air compressor fault inspection and repair, and reduce the difficulty of fault type screening;

[0057] Obtain the maximum speed deviation between the motor speed of the air compressor and the real-time required speed within the delay time corresponding to the required variable frequency operation time and the execution variable frequency operation time during the air compressor operation stage, and mark the maximum speed deviation between the motor speed of the air compressor and the real-time required speed within the delay time corresponding to the required variable frequency operation time and the execution variable frequency operation time during the air compressor operation stage as execution lag impact information;

[0058] Obtain the cumulative value of the reciprocating deviation of the real-time execution operation corresponding to the adjacent interval time when the air compressor operation operations are executed successively in the air compressor operation stage, and mark the cumulative value of the reciprocating deviation of the real-time execution operation corresponding to the adjacent interval time when the air compressor operation operations are executed successively in the air compressor operation stage as execution cumulative buffer information;

[0059] And the execution delay impact information and the execution cumulative buffer information are compared with the maximum speed deviation threshold and the duration deviation cumulative threshold respectively:

[0060] If the execution lag impact information exceeds the maximum speed deviation threshold, or the execution cumulative buffer information exceeds the cumulative time deviation threshold, it is inferred that the execution layer detection is abnormal during the air compressor operation period, and an execution layer abnormal signal is generated and sent to the automation control platform. After the automation control platform receives it, if the current operation period is an inefficient control period, the air compressor variable frequency operation or the operation operation execution delay period in the current period is used as the starting point of the maintenance period, and the operation route check operation log is performed from the starting point of the maintenance period;

[0061] If the execution lag impact information does not exceed the maximum speed deviation threshold, and the execution cumulative buffer information exceeds the duration deviation cumulative threshold, it is inferred that the execution layer detection is normal during the air compressor operation period, and an execution layer normal signal is generated and sent to the automation control platform;

[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 target control evaluation unit performs target control analysis on the smelting furnace air compressor, collects target control information, obtains the target control evaluation coefficient through calculation, and divides the operation time period into a low-efficiency control period and a high-efficiency control period according to the coefficient comparison; the sensor layer detection unit performs sensor operation detection on the smelting furnace air compressor, collects deviation identification data and deviation influence data, and infers whether the sensor layer detection is normal according to the data analysis; the control layer detection unit performs control layer detection on the smelting furnace air compressor, collects control error information and control repair information, and infers whether the control layer detection is normal according to the information comparison; the execution layer detection unit performs execution layer detection on the smelting furnace air compressor, collects execution lag influence information and execution cumulative buffer information, and infers whether the execution layer detection is normal according to the information analysis.

[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. The automatic control system applied to the air compressor of the smelting furnace is characterized by: It includes an automation control platform, which is communicatively connected with a target control evaluation unit, a sensor layer detection unit, a control layer detection unit and an execution layer detection unit; The target control evaluation unit performs target control analysis on the smelting furnace air compressor, collects target control information, obtains the target control evaluation coefficient through calculation, and divides the operating time period into an inefficient control period and an efficient control period according to the coefficient comparison; The sensor layer detection unit performs sensor operation detection on the smelting furnace air compressor, collects deviation identification data and deviation impact data, and infers whether the sensor layer detection is normal based on data analysis; The control layer detection unit performs control layer detection on the smelting furnace air compressor, collects control error information and control repair information, and infers whether the control layer detection is normal based on information comparison; The execution layer detection unit performs execution layer detection on the smelting furnace air compressor, collects execution delay impact information and execution cumulative buffer information, and infers whether the execution layer detection is normal based on information analysis.

2. The automatic control system for a smelting furnace air compressor according to claim 1, characterized in that: The target control information includes the span ratio of the duration of time during which the compressed air pressure at the outlet of the air compressor is kept constant at a set value and the floating span of the corresponding average air circulation velocity in each part of the melting furnace during the operation of the smelting furnace air compressor, the span value ratio of the rising span of the stable peak value of key components during the operation of the smelting furnace air compressor and the span value ratio of the starting temperature drop span of the secondary operation, and the span value ratio of the increase span of the average operating current of the air compressor motor during the operation of the smelting furnace air compressor and the span value ratio of the decrease span of the current motor operating circuit resistance value.

3. The automatic control system for a smelting furnace air compressor according to claim 2, characterized in that: If the target control evaluation coefficient exceeds the target control evaluation coefficient threshold, the current operation period is marked as an inefficient control period; If the target control evaluation coefficient does not exceed the target control evaluation coefficient threshold, the current operating period is marked as a high-efficiency control period.

4. The automatic control system for a smelting furnace air compressor according to claim 1, characterized in that: The deviation identification data and deviation impact data are respectively the frequency of numerical deviation between the floating value and the floating statistical value of the air pressure when the compressed air provided by the smelting furnace air compressor is stable within the set range under different working conditions, and the delay time between the time when the irreversible change of the internal operating parameter value of the smelting furnace air compressor occurs and the operation warning time under the same working conditions.

5. The automatic control system for a smelting furnace air compressor according to claim 4, characterized in that: If the deviation identification data exceeds the numerical deviation frequency threshold at the same moment, or the deviation impact data exceeds the moment delay duration threshold, a sensor layer abnormal signal is generated; if the deviation identification data does not exceed the numerical deviation frequency threshold at the same moment, and the deviation impact data does not exceed the moment delay duration threshold, a sensor layer normal signal is generated.

6. The automatic control system for a smelting furnace air compressor according to claim 5, characterized in that: After receiving the abnormal signal from the sensor layer, the automation control platform will perform maintenance on the hardware sensors of the sensor layer. If the smelting furnace air compressor is in an inefficient control period, the wear reporting level of the internal components of the air compressor will be increased. If the smelting furnace air compressor is in an efficient control period, the internal components of the air compressor will be maintained before operation. When receiving the normal signal from the sensor layer, targeted operation maintenance and operation continuity will be carried out for the inefficient control period or the efficient control period, and the wear reporting level will be based on real-time detection.

7. The automatic control system for a smelting furnace air compressor according to claim 1, characterized in that: The control error information and control repair information are respectively the increase span of the deviation value of the number of over-range control and the actual over-range control corresponding to the control logic analysis when the control layer receives the signal transmitted by the sensor layer during the operation stage, and the decrease span of the over-range control frequency detected at any time when the control logic of the control layer is continuously updated during the operation stage; If the control error information exceeds the deviation increase span threshold, or the control repair information does not exceed the frequency decrease span threshold, a control layer abnormal signal is generated; if the control error information does not exceed the deviation increase span threshold, and the control repair information does not exceed the frequency decrease span threshold, a control layer normal signal is generated.

8. The automatic control system for a smelting furnace air compressor according to claim 7, characterized in that: After receiving the abnormal signal from the control layer, the automation control platform counts the faults that occur when the current air compressor operation command is executed, and calibrates this type of fault and calibrates it as a control layer-affected fault. During the operation and maintenance of the air compressor, the control logic of the control layer is repaired. If the control layer-affected fault does not occur, this type of fault will not be included in the historical work log of the air compressor fault type. After receiving the normal signal from the control layer, the automation control platform marks the fault that occurs when the current air compressor operation instruction is executed as a non-control fault, and gives priority to detecting the component itself when repairing such a fault.

9. The automatic control system for a smelting furnace air compressor according to claim 1, characterized in that: The execution lag impact information and the execution cumulative buffer information are respectively the maximum speed deviation between the air compressor motor speed and the real-time required speed within the delay time corresponding to the required variable frequency operation time and the execution variable frequency operation time during the air compressor operation stage, and the cumulative value of the reciprocating deviation of the real-time execution operation corresponding to the adjacent interval time when the air compressor operation operations are executed successively during the air compressor operation stage; If the execution delay impact information exceeds the maximum speed deviation threshold, or the execution cumulative buffer information exceeds the duration deviation cumulative threshold, an execution layer abnormal signal is generated; if the execution delay impact information does not exceed the maximum speed deviation threshold, and the execution cumulative buffer information exceeds the duration deviation cumulative threshold, an execution layer normal signal is generated.

10. The automatic control system for a smelting furnace air compressor according to claim 9, characterized in that: After the automation control platform receives the abnormal signal from the execution layer, if the current operating period is an inefficient control period, the air compressor variable frequency operation or the delay period of operation execution in the current period will be used as the starting point of the maintenance period, and the operation route will be checked and the operation log will be run from the starting point of the maintenance period.

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