A method and system for optimizing the operating status of industrial production line equipment

Abstract

The present invention discloses a method and system for optimizing the operating state of industrial production line equipment, the optimization method comprising: obtaining real-time data of industrial equipment; performing analysis and processing according to the real-time data of industrial equipment to obtain real-time status information of industrial equipment; performing analysis and judgment processing according to the real-time status information of industrial equipment to obtain the status monitoring result of industrial equipment; performing abnormality elimination operation on industrial equipment according to the status monitoring result of industrial equipment to obtain the normal operation information of industrial equipment; performing optimization processing according to the normal operation information of industrial equipment to determine the final state of industrial equipment. The present invention can eliminate abnormal information of industrial equipment, optimize parameters under the normal operation state of industrial equipment, and enable industrial equipment to operate in a better state.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and system for optimizing the operating status of industrial production line equipment. Background Art

[0002] As an important part of the Industrial Internet of Things, the health status of industrial equipment is directly related to the quality level of industrial products and the safety of people's lives and property during the production process. Therefore, it is of great theoretical value and engineering practical significance to evaluate the status of industrial equipment to ensure the healthy operation of equipment and prevent accidents.

[0003] Industrial equipment usually contains electric motors and is driven by electric motors. However, existing industrial production lines do not analyze and repair the status of the equipment based on the real-time data of the electric motors, which causes abnormalities in the motors during operation, reduces the service life of the equipment, and increases the maintenance cost of the equipment. Summary of the invention

[0004] In order to solve the above technical problems, a method and system for optimizing the operating status of industrial production line equipment are provided. This technical solution solves the problem mentioned in the above background technology that the existing industrial production line does not analyze and repair the status of the equipment according to the real-time data of the motor, which causes abnormalities in the motor during operation, reduces the service life of the equipment, and increases the maintenance cost of the equipment.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A method for optimizing the operating state of industrial production line equipment comprises the steps of:

[0007] S1, obtaining real-time data of industrial equipment, wherein the real-time data of industrial equipment includes actual speed data of the equipment, motor speed data, power data, and motor temperature data;

[0008] S3, analyzing and processing the real-time data of industrial equipment to obtain the real-time status information of industrial equipment;

[0009] S5, analyzing and judging the real-time status information of the industrial equipment to obtain the industrial equipment status monitoring results;

[0010] S7, performing abnormality elimination operations on the industrial equipment according to the industrial equipment status monitoring results to obtain normal operation information of the industrial equipment; and

[0011] S9, performing optimization processing based on the normal operation information of the industrial equipment to determine the final state of the industrial equipment.

[0012] Preferably, step S3, analyzing and processing the real-time data of the industrial equipment to obtain the real-time status information of the industrial equipment, specifically includes the following steps:

[0013] S31, screening and processing the real-time data of the industrial equipment to determine the time when the data is missing, the type of the missing data, and other data information corresponding to the time when the data is missing;

[0014] S33, performing simulation processing according to the type of missing data and other data information corresponding to the time when the data is missing, to determine the missing data information, wherein the missing data information includes missing data of actual speed data of the device, missing data of motor speed, and missing data of power;

[0015] S35, processing the real-time data of the industrial equipment according to the missing data information to determine the complete real-time data of the industrial equipment; and

[0016] S37, analyzing and processing the complete real-time data of the industrial equipment to obtain the real-time status information of the industrial equipment.

[0017] Preferably, step S31, screening the real-time data of industrial equipment to determine the data missing time, the type of missing data and other data information corresponding to the data missing time, specifically includes the following steps:

[0018] S311, traverse and process the actual speed data of the device to determine the time when the actual speed data of the device is missing;

[0019] S312, capturing and processing the motor speed data and the power data according to the time when the actual speed data of the device is missing, and determining the motor speed data and the power data corresponding to the time when the actual speed data of the device is missing;

[0020] S313, performing traversal processing on the motor speed data to determine the time when the motor speed data is missing;

[0021] S314, capturing and processing the actual speed data and power data of the device according to the time when the motor speed data is missing, and determining the actual speed data and power data of the device corresponding to the time when the motor speed data is missing;

[0022] S315, performing traversal processing on the power data to determine the time when the power data is missing; and

[0023] S316, capturing and processing the actual speed data of the device and the motor speed data according to the moment when the power data is missing, and determining the actual speed data of the device and the motor speed data corresponding to the moment when the power data is missing.

[0024] Preferably, the step S33 performs simulation processing according to the type of missing data and other data information corresponding to the moment of data missing to determine the missing data information, specifically comprising the following steps:

[0025] S331, performing parameter adjustment processing on the industrial equipment according to the type of missing data and other data information corresponding to the time when the data is missing, and determining the parameter adjustment result of the industrial equipment; and

[0026] S333, analyzing and processing the parameter adjustment results of the industrial equipment to obtain missing data information.

[0027] Preferably, the step S35, processing the real-time data of the industrial equipment according to the missing data information to determine the complete real-time data of the industrial equipment, specifically includes the following steps:

[0028] S351, performing outlier removal processing on the real-time data to obtain first processed data;

[0029] S353, performing missing value filling processing on the first processed data to obtain second processed data;

[0030] The specific calculation formula for the missing value filling process is:

[0031]

[0032] Where D i is the filling data; i is the number of filling data; D j are different types of real-time data; n is the number of different types of real-time data; and

[0033] S355, performing classification based on the second processed data to obtain several groups of complete real-time data of industrial equipment.

[0034] Preferably, the step S37, analyzing and processing the complete real-time data of the industrial equipment to obtain the real-time status information of the industrial equipment, specifically includes the following steps:

[0035] S370, establishing a three-dimensional space coordinate system according to the complete data of the actual speed data of the device, the complete data of the power and the complete data of the motor speed, wherein the actual speed data of the device is used as the X-axis, the motor speed is used as the Y-axis, and the power is used as the Z-axis;

[0036] S371, drawing a real-time status curve of the industrial equipment in a three-dimensional space coordinate system according to the complete data of the actual speed data, the complete data of the power and the complete data of the motor speed;

[0037] S372, performing simulation processing according to the complete data of the actual speed data of the device and the complete data of the speed of the motor to obtain power simulation data;

[0038] S373, performing simulation processing according to the complete power data and the complete data of the actual speed of the equipment to obtain the simulated data of the motor speed;

[0039] S374, performing simulation processing according to the complete power data and the complete motor speed data to obtain simulation data of the actual speed data of the device;

[0040] S375, drawing a power simulation curve of the industrial equipment in a three-dimensional space coordinate system according to the complete data of the actual speed data of the equipment, the complete data of the motor speed and the power simulation data;

[0041] S376, drawing a motor speed simulation curve of the industrial equipment in a three-dimensional space coordinate system according to the complete power data, the complete data of the actual speed data of the equipment and the motor speed simulation data;

[0042] S377, drawing a speed simulation curve of the industrial equipment in a three-dimensional space coordinate system according to the complete power data, the complete motor speed data and the simulation data of the actual speed data of the equipment;

[0043] S378, respectively calculating and processing the industrial equipment real-time state curve and the industrial equipment power simulation curve, the industrial equipment motor speed simulation curve, and the industrial equipment speed simulation curve to obtain a power approximate value, a motor speed approximate value, and an industrial equipment speed approximate value; and

[0044] S379, performing a collection process based on the motor speed approximation value and the industrial equipment speed approximation value, determining the motor state information, and using the power approximation value as the power state information.

[0045] Preferably, the step S5, analyzing and judging the real-time status information of the industrial equipment to obtain the industrial equipment status monitoring result, specifically includes the following steps:

[0046] S51, judging and processing the motor status information to obtain the industrial equipment motor status monitoring result;

[0047] S53, if the motor speed approach value is greater than the set first threshold value, and the industrial equipment speed approach value is greater than the set second threshold value, the motor can operate normally, and the motor normal information is output; if the motor speed approach value is greater than the set first threshold value, but the industrial equipment speed approach value is less than the set second threshold value, the motor is abnormal, and the speed cannot be completely converted into the actual speed data of the equipment, and the motor abnormal information is output;

[0048] S55, judging and processing the power status information to obtain the power status monitoring result of the industrial equipment; and

[0049] S57, if the motor speed approach value is greater than the set first threshold, the industrial equipment speed approach value is greater than the set second threshold, and the power approach value is equal to the set third threshold, then the industrial equipment power is normal and the output power is normal information; if the motor speed approach value is greater than the set first threshold, the industrial equipment speed approach value is greater than the set second threshold, but the power approach value is greater than the set third threshold, then the industrial equipment power is abnormal and the output power is abnormal information.

[0050] Preferably, the step S7, performing abnormality elimination operations on the industrial equipment according to the industrial equipment status monitoring results, and obtaining the normal operation information of the industrial equipment specifically comprises the following steps:

[0051] S71, analyzing and judging the abnormality information of the motor and the temperature data to determine the cause of the abnormality of the motor;

[0052] S73, if the motor temperature data is higher than the set fourth threshold, the actual speed data of the equipment is reduced, the motor temperature drops, and the motor can completely convert the speed into the actual speed data of the equipment, then the motor abnormal information is that the motor temperature is too high, and the industrial equipment is decelerated;

[0053] S75, if the motor temperature data is higher than the set fourth threshold, the actual speed data of the device is reduced, the motor temperature drops, and the motor cannot completely convert the speed into the actual speed data of the device, then the motor abnormal information is other abnormal information, and the motor maintenance instruction is output;

[0054] S77, analyzing and judging the power abnormality information and the actual speed data of the equipment to determine the cause of the power abnormality; and

[0055] S79, if the actual speed data of the equipment is increased and the power increases abnormally, a motor maintenance instruction is output; if the actual speed data of the equipment is reduced and the power remains unchanged, a maintenance instruction is output.

[0056] Preferably, the step S9, performing optimization processing according to the normal operation information of the industrial equipment to determine the final state of the industrial equipment, specifically includes the following steps:

[0057] S91, obtaining actual speed data, motor speed, power and motor temperature of the equipment after the abnormality of the industrial equipment is eliminated;

[0058] S93, increasing the motor speed, adding the actual speed data of the device, monitoring the power and the motor temperature, and obtaining the real-time power and the real-time motor temperature;

[0059] S95, if the motor speed is greater than the set fifth threshold, the real-time motor temperature is greater than the set sixth threshold, and the real-time power increases abnormally, the fifth threshold is used as the critical value, and the motor speed of the industrial equipment is operated at the fifth threshold; and

[0060] S97, if the motor speed is greater than the set fifth threshold, the real-time motor temperature is greater than the set sixth threshold, and the real-time power has not increased, continue to increase the motor speed. When the real-time power increases abnormally, the previous motor speed when the real-time power increases abnormally is used as the critical value, and the industrial equipment motor speed operates at the critical value.

[0061] An operating state optimization system for industrial production line equipment, comprising:

[0062] A data acquisition module, wherein the data acquisition module is used to obtain real-time data of industrial equipment;

[0063] A data analysis module, which is used to analyze and process the real-time data of industrial equipment to obtain real-time status information of the industrial equipment;

[0064] A judgment module, which is used to analyze and judge the real-time status information of industrial equipment to obtain the status monitoring result of industrial equipment;

[0065] An abnormality elimination module, which is used to perform abnormality elimination operations on industrial equipment according to the industrial equipment status monitoring results to obtain normal operation information of the industrial equipment;

[0066] The optimization module is used to perform optimization processing according to the normal operation information of the industrial equipment to determine the final state of the industrial equipment.

[0067] Compared with the prior art, the present invention provides a method and system for optimizing the operating status of industrial production line equipment, which has the following beneficial effects.

[0068] The present invention collects actual speed data, motor speed data, power data and motor temperature data of industrial equipment, and analyzes the actual speed data, motor speed data, power data and motor temperature data of the equipment to determine the real-time status information of the industrial equipment, then judges the real-time status information of the industrial equipment, eliminates abnormal information of the industrial equipment, and optimizes parameters of the industrial equipment under normal operating conditions, so that the industrial equipment can operate in a better state. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 It is a schematic diagram of the operating state optimization method of industrial production line equipment in the present invention;

[0070] Figure 2A schematic diagram of a method for obtaining real-time status information of industrial equipment in the present invention;

[0071] Figure 3 A schematic diagram of a method for determining the data missing time, the type of missing data, and other data information corresponding to the data missing time in the present invention;

[0072] Figure 4 A schematic diagram of a method for determining missing data information in the present invention;

[0073] Figure 5 A schematic diagram of a method for determining complete real-time data of industrial equipment in the present invention;

[0074] Figure 6 A schematic diagram of a method for obtaining real-time status information of industrial equipment in the present invention;

[0075] Figure 7 A schematic diagram of a method for obtaining industrial equipment status monitoring results in the present invention;

[0076] Figure 8 A schematic diagram of a method for obtaining normal operating information of industrial equipment in the present invention;

[0077] Fig. 9 A schematic diagram of a method for determining a final state of industrial equipment in the present invention;

[0078] Fig.10 It is a block diagram of the operating status optimization system of the industrial production line equipment in the present invention. DETAILED DESCRIPTION

[0079] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0080] Please refer to Figure 1-Figure 9 As shown, a method for optimizing the operating state of industrial production line equipment comprises the steps of:

[0081] S1, obtaining real-time data of industrial equipment, including actual speed data of the equipment, motor speed data, power data, and motor temperature data;

[0082] S3, analyzing and processing the real-time data of industrial equipment to obtain the real-time status information of industrial equipment;

[0083] S5, analyzing and judging the real-time status information of the industrial equipment to obtain the industrial equipment status monitoring results;

[0084] S7, performing abnormality elimination operations on the industrial equipment according to the industrial equipment status monitoring results to obtain normal operation information of the industrial equipment; and

[0085] S9, performing optimization processing based on the normal operation information of the industrial equipment to determine the final state of the industrial equipment.

[0086] The present invention collects the actual speed data, motor speed data, power data and motor temperature data of the industrial equipment, analyzes the actual speed data, motor speed data, power data and motor temperature data of the equipment, determines the real-time status information of the industrial equipment, and then judges the real-time status information of the industrial equipment, eliminates the abnormal information of the industrial equipment, optimizes the parameters of the industrial equipment under normal operating conditions, and enables the industrial equipment to operate in a better state. Please refer to Figure 2 As shown, the step S3 is to analyze and process the real-time data of the industrial equipment to obtain the real-time status information of the industrial equipment. Specifically, it includes the following steps:

[0087] S31, screening and processing the real-time data of the industrial equipment to determine the time when the data is missing, the type of the missing data, and other data information corresponding to the time when the data is missing;

[0088] S33, performing simulation processing according to the type of missing data and other data information corresponding to the time when the data is missing, to determine the missing data information, where the missing data information includes missing data of actual speed data of the device, missing data of motor speed, and missing data of power;

[0089] S35, processing the real-time data of the industrial equipment according to the missing data information to determine the complete real-time data of the industrial equipment; and

[0090] S37, analyzing and processing the complete real-time data of the industrial equipment to obtain the real-time status information of the industrial equipment.

[0091] During the operation of industrial equipment, data may be missing at a certain moment, but it is impossible to determine whether the missing data is normal data. Therefore, other data at the missing moment is captured. For example, the actual speed data is missing at a certain moment, and the power data and motor speed data are captured. Simulation is performed with the same power data and motor speed data to determine the missing data, and the missing data is inserted into the missing moment to make the data complete. The subsequent drawn curve is a complete and smooth curve, which can more clearly derive the degree of proximity between the curves, making it more convenient and quicker to eliminate abnormalities in industrial equipment.

[0092] Please refer to Figure 3 As shown, step S31, screening the real-time data of industrial equipment to determine the data missing time, the type of missing data and other data information corresponding to the data missing time, specifically includes the following steps:

[0093] S311, traverse and process the actual speed data of the device to determine the time when the actual speed data of the device is missing;

[0094] S312, capturing and processing the motor speed data and the power data according to the time when the actual speed data of the device is missing, and determining the motor speed data and the power data corresponding to the time when the actual speed data of the device is missing;

[0095] S313, performing traversal processing on the motor speed data to determine the time when the motor speed data is missing;

[0096] S314, capturing and processing the actual speed data and power data of the device according to the time when the motor speed data is missing, and determining the actual speed data and power data of the device corresponding to the time when the motor speed data is missing;

[0097] S315, performing traversal processing on the power data to determine the time when the power data is missing; and

[0098] S316, capturing and processing the actual speed data of the device and the motor speed data according to the moment when the power data is missing, and determining the actual speed data of the device and the motor speed data corresponding to the moment when the power data is missing.

[0099] In this way, real-time data screening and processing can timely discover missing parts in the data set, thereby avoiding the impact of incomplete data on subsequent analysis; determining the time and type of data missing helps to understand the cause and pattern of data missing, and then take targeted measures to improve data quality. A complete and accurate data set is an important basis for enterprises to make decisions. By determining the time and type of data missing and the corresponding other data information, enterprises can have a more comprehensive understanding of production conditions and provide strong support for decision-making.

[0100] Please refer to Figure 4 As shown, step S33 performs simulation processing according to the type of missing data and other data information corresponding to the time when the data is missing to determine the missing data information, which specifically includes the following steps:

[0101] S331, performing parameter adjustment processing on the industrial equipment according to the type of missing data and other data information corresponding to the time when the data is missing, and determining the parameter adjustment result of the industrial equipment; and

[0102] S333, analyzing and processing the parameter adjustment results of the industrial equipment to obtain missing data information.

[0103] In this way, through simulation processing, missing values ​​can be estimated or predicted based on the existing data and the type of missing data, thereby restoring the integrity of the data to a certain extent. This helps to avoid analytical bias caused by missing data; in the data analysis process, missing data may lead to inaccurate results. Determining missing data through simulation processing can improve the accuracy and reliability of analysis.

[0104] Please refer to Figure 5 As shown, step S35, processing the real-time data of the industrial equipment according to the missing data information to determine the complete real-time data of the industrial equipment, specifically includes the following steps:

[0105] S351, performing outlier removal processing on the real-time data to obtain first processed data;

[0106] S353, performing missing value filling processing on the first processed data to obtain second processed data;

[0107] Among them, the specific calculation formula for missing value filling is:

[0108]

[0109] Where D i is the filling data; i is the number of filling data; D j are different types of real-time data; n is the number of different types of real-time data; and

[0110] S355, performing classification based on the second processed data to obtain several groups of complete real-time data of industrial equipment.

[0111] This method fills in the missing data to ensure the integrity of the data.

[0112] Please refer to Figure 6 As shown, step S37, analyzing and processing the complete real-time data of the industrial equipment to obtain the real-time status information of the industrial equipment, specifically includes the following steps:

[0113] S370, establishing a three-dimensional space coordinate system according to the complete data of the actual speed data of the device, the complete data of the power, and the complete data of the motor speed, with the actual speed data of the device as the X-axis, the motor speed as the Y-axis, and the power as the Z-axis;

[0114] S371, drawing a real-time status curve of the industrial equipment in a three-dimensional space coordinate system according to the complete data of the actual speed data, the complete data of the power and the complete data of the motor speed;

[0115] S372, performing simulation processing according to the complete data of the actual speed data of the device and the complete data of the speed of the motor to obtain power simulation data;

[0116] S373, performing simulation processing according to the complete power data and the complete data of the actual speed of the equipment to obtain the simulated data of the motor speed;

[0117] S374, performing simulation processing according to the complete power data and the complete motor speed data to obtain simulation data of the actual speed data of the device;

[0118] S375, drawing a power simulation curve of the industrial equipment in a three-dimensional space coordinate system according to the complete data of the actual speed data of the equipment, the complete data of the motor speed and the power simulation data;

[0119] S376, drawing a motor speed simulation curve of the industrial equipment in a three-dimensional space coordinate system according to the complete power data, the complete data of the actual speed data of the equipment and the motor speed simulation data;

[0120] S377, drawing a speed simulation curve of the industrial equipment in a three-dimensional space coordinate system according to the complete power data, the complete motor speed data and the simulation data of the actual speed data of the equipment;

[0121] S378, respectively calculating and processing the industrial equipment real-time state curve and the industrial equipment power simulation curve, the industrial equipment motor speed simulation curve, and the industrial equipment speed simulation curve to obtain a power approximate value, a motor speed approximate value, and an industrial equipment speed approximate value; and

[0122] S379, performing a collection process based on the motor speed approximation value and the industrial equipment speed approximation value, determining the motor state information, and using the power approximation value as the power state information.

[0123] The real-time status of industrial equipment is closely related to the equipment's actual speed data, power data and motor speed data. The motor status information can be well determined through simulation technology.

[0124] Please refer to Figure 7 As shown, step S5, analyzing and judging the real-time status information of the industrial equipment to obtain the industrial equipment status monitoring result, specifically includes the following steps:

[0125] S51, judging and processing the motor status information to obtain the industrial equipment motor status monitoring result;

[0126] S53, if the motor speed approach value is greater than the set first threshold value, and the industrial equipment speed approach value is greater than the set second threshold value, the motor can operate normally, and the motor normal information is output; if the motor speed approach value is greater than the set first threshold value, but the industrial equipment speed approach value is less than the set second threshold value, the motor is abnormal, and the speed cannot be completely converted into the actual speed data of the equipment, and the motor abnormal information is output;

[0127] S55, judging and processing the power status information to obtain the power status monitoring result of the industrial equipment; and

[0128] S57, if the motor speed approach value is greater than the set first threshold, the industrial equipment speed approach value is greater than the set second threshold, and the power approach value is equal to the set third threshold, then the industrial equipment power is normal and the output power is normal information; if the motor speed approach value is greater than the set first threshold, the industrial equipment speed approach value is greater than the set second threshold, but the power approach value is greater than the set third threshold, then the industrial equipment power is abnormal and the output power is abnormal information.

[0129] By comparing the motor speed approach value with the threshold, the status of the industrial equipment can be monitored in real time to determine whether the industrial equipment has a fault.

[0130] Please refer to Figure 8 As shown, step S7, performing abnormality elimination operations on industrial equipment according to the industrial equipment status monitoring results to obtain normal operation information of the industrial equipment, specifically includes the following steps:

[0131] S71, analyzing and judging the abnormality information of the motor and the temperature data to determine the cause of the abnormality of the motor;

[0132] S73, if the motor temperature data is higher than the set fourth threshold, the actual speed data of the equipment is reduced, the motor temperature drops, and the motor can completely convert the speed into the actual speed data of the equipment, then the motor abnormal information is that the motor temperature is too high, and the industrial equipment is decelerated;

[0133] S75, if the motor temperature data is higher than the set fourth threshold, the actual speed data of the device is reduced, the motor temperature drops, and the motor cannot completely convert the speed into the actual speed data of the device, then the motor abnormal information is other abnormal information, and the motor maintenance instruction is output;

[0134] S77, analyzing and judging the power abnormality information and the actual speed data of the equipment to determine the cause of the power abnormality; and

[0135] S79, if the actual speed data of the equipment is increased and the power increases abnormally, a motor maintenance instruction is output; if the actual speed data of the equipment is reduced and the power remains unchanged, a maintenance instruction is output.

[0136] In this way, the cause of the motor abnormality can be determined. If the motor abnormality information is that the motor temperature is too high, the industrial equipment will be slowed down. If the actual speed data of the equipment is reduced and the power remains unchanged, it is directly determined that the motor needs to be repaired.

[0137] Please refer to Fig. 9 As shown, step S9, performing optimization processing according to the normal operation information of the industrial equipment to determine the final state of the industrial equipment, specifically includes the following steps:

[0138] S91, obtaining actual speed data, motor speed, power and motor temperature of the equipment after the abnormality of the industrial equipment is eliminated;

[0139] S93, increasing the motor speed, adding the actual speed data of the device, monitoring the power and the motor temperature, and obtaining the real-time power and the real-time motor temperature;

[0140] S95, if the motor speed is greater than the set fifth threshold, the real-time motor temperature is greater than the set sixth threshold, and the real-time power increases abnormally, the fifth threshold is used as the critical value, and the motor speed of the industrial equipment is operated at the fifth threshold; and

[0141] S97, if the motor speed is greater than the set fifth threshold, the real-time motor temperature is greater than the set sixth threshold, and the real-time power has not increased, continue to increase the motor speed. When the real-time power increases abnormally, the previous motor speed when the real-time power increases abnormally is used as the critical value, and the industrial equipment motor speed operates at the critical value.

[0142] In this way, the actual speed data, motor speed, power and motor temperature of the equipment are eliminated for abnormalities. By increasing the motor speed, the actual speed data of the equipment is increased, the power and motor temperature are monitored, the real-time power and real-time motor temperature are obtained, and compared with the threshold value, the real-time status of the motor of the industrial equipment can be determined.

[0143] Please refer to Fig.10 As shown, the present invention also discloses an operating state optimization system for industrial production line equipment, comprising:

[0144] Data acquisition module 10, the data acquisition module 10 is used to obtain real-time data of industrial equipment;

[0145] The data analysis module 30 is used to analyze and process the real-time data of the industrial equipment to obtain the real-time status information of the industrial equipment;

[0146] The judgment module 50 is used to analyze and judge the real-time status information of the industrial equipment to obtain the status monitoring result of the industrial equipment;

[0147] The abnormality elimination module 70 is used to perform abnormality elimination operations on the industrial equipment according to the industrial equipment status monitoring results to obtain the normal operation information of the industrial equipment; and

[0148] The optimization module 90 is used to perform optimization processing according to the normal operation information of the industrial equipment to determine the final state of the industrial equipment.

[0149] This embodiment collects actual speed data, motor speed data, power data and motor temperature data of the industrial equipment through the data acquisition module, and analyzes the actual speed data, motor speed data, power data and motor temperature data of the equipment through the data analysis module to determine the real-time status information of the industrial equipment, and then judges the real-time status information of the industrial equipment through the judgment module, eliminates abnormal information of the industrial equipment, and optimizes the parameters of the industrial equipment under normal operating conditions, so that the industrial equipment can operate in a better state.

[0150] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for optimizing the operating status of industrial production line equipment, characterized in that: Includes steps: S1, obtaining real-time data of industrial equipment, wherein the real-time data of industrial equipment includes actual speed data of the equipment, motor speed data, power data, and motor temperature data; S3, analyzing and processing the real-time data of industrial equipment to obtain the real-time status information of industrial equipment; S5, analyzing and judging the real-time status information of the industrial equipment to obtain the industrial equipment status monitoring results; S7, performing abnormality elimination operations on the industrial equipment according to the industrial equipment status monitoring results to obtain normal operation information of the industrial equipment; as well as S9, performing optimization processing based on the normal operation information of the industrial equipment to determine the final state of the industrial equipment.

2. The operating state optimization method of an industrial production line equipment according to claim 1 is characterized in that: The step S3, analyzing and processing the real-time data of the industrial equipment to obtain the real-time status information of the industrial equipment, specifically includes the following steps: S31, screening and processing the real-time data of the industrial equipment to determine the time when the data is missing, the type of the missing data, and other data information corresponding to the time when the data is missing; S33, performing simulation processing according to the type of missing data and other data information corresponding to the time when the data is missing, to determine the missing data information, wherein the missing data information includes missing data of actual speed data of the device, missing data of motor speed, and missing data of power; S35, processing the real-time data of the industrial equipment according to the missing data information to determine the complete real-time data of the industrial equipment; and S37, analyzing and processing the complete real-time data of the industrial equipment to obtain the real-time status information of the industrial equipment.

3. The operating state optimization method of an industrial production line equipment according to claim 2 is characterized in that: The step S31 of screening the real-time data of industrial equipment to determine the data missing time, the type of missing data and other data information corresponding to the data missing time specifically includes the following steps: S311, traverse and process the actual speed data of the device to determine the time when the actual speed data of the device is missing; S312, capturing and processing the motor speed data and the power data according to the time when the actual speed data of the device is missing, and determining the motor speed data and the power data corresponding to the time when the actual speed data of the device is missing; S313, performing traversal processing on the motor speed data to determine the time when the motor speed data is missing; S314, capturing and processing the actual speed data and power data of the device according to the time when the motor speed data is missing, and determining the actual speed data and power data of the device corresponding to the time when the motor speed data is missing; S315, traversing the power data to determine the time when the power data is missing; as well as S316, capturing and processing the actual speed data of the device and the motor speed data according to the moment when the power data is missing, and determining the actual speed data of the device and the motor speed data corresponding to the moment when the power data is missing.

4. The operating state optimization method of an industrial production line equipment according to claim 2 is characterized in that: The step S33 performs simulation processing according to the type of missing data and other data information corresponding to the time when the data is missing to determine the missing data information, specifically including the following steps: S331, performing parameter adjustment processing on the industrial equipment according to the type of missing data and other data information corresponding to the time when the data is missing, and determining the parameter adjustment result of the industrial equipment; as well as S333, analyzing and processing the parameter adjustment results of the industrial equipment to obtain missing data information.

5. The method for optimizing the operating status of industrial production line equipment according to claim 2, characterized in that: The step S35, processing the real-time data of the industrial equipment according to the missing data information to determine the complete real-time data of the industrial equipment, specifically includes the following steps: S351, performing outlier removal processing on the real-time data to obtain first processed data; S353, performing missing value filling processing on the first processed data to obtain second processed data; The specific calculation formula for the missing value filling process is: Where D i is the filling data; i is the number of filling data; D j are different types of real-time data; n is the number of different types of real-time data; and S355, performing classification based on the second processed data to obtain several groups of complete real-time data of industrial equipment.

6. The method for optimizing the operating status of industrial production line equipment according to claim 2, characterized in that: The step S37, analyzing and processing the complete real-time data of the industrial equipment to obtain the real-time status information of the industrial equipment, specifically includes the following steps: S370, establishing a three-dimensional space coordinate system according to the complete data of the actual speed data of the device, the complete data of the power and the complete data of the motor speed, wherein the actual speed data of the device is used as the X-axis, the motor speed is used as the Y-axis, and the power is used as the Z-axis; S371, drawing a real-time status curve of the industrial equipment in a three-dimensional space coordinate system according to the complete data of the actual speed data, the complete data of the power and the complete data of the motor speed; S372, performing simulation processing according to the complete data of the actual speed data of the device and the complete data of the speed of the motor to obtain power simulation data; S373, performing simulation processing according to the complete power data and the complete data of the actual speed of the equipment to obtain the simulated data of the motor speed; S374, performing simulation processing according to the complete power data and the complete motor speed data to obtain simulation data of the actual speed data of the device; S375, drawing a power simulation curve of the industrial equipment in a three-dimensional space coordinate system according to the complete data of the actual speed data of the equipment, the complete data of the motor speed and the power simulation data; S376, drawing a motor speed simulation curve of the industrial equipment in a three-dimensional space coordinate system according to the complete power data, the complete data of the actual speed data of the equipment and the motor speed simulation data; S377, drawing a speed simulation curve of the industrial equipment in a three-dimensional space coordinate system according to the complete power data, the complete motor speed data and the simulation data of the actual speed data of the equipment; S378, respectively calculating and processing the industrial equipment real-time state curve and the industrial equipment power simulation curve, the industrial equipment motor speed simulation curve, and the industrial equipment speed simulation curve to obtain a power approximate value, a motor speed approximate value, and an industrial equipment speed approximate value; and S379, performing a collection process based on the motor speed approximation value and the industrial equipment speed approximation value, determining the motor state information, and using the power approximation value as the power state information.

7. The method for optimizing the operating status of industrial production line equipment according to claim 1, characterized in that: The step S5, analyzing and judging the real-time status information of the industrial equipment to obtain the industrial equipment status monitoring result, specifically includes the following steps: S51, judging and processing the motor status information to obtain the industrial equipment motor status monitoring result; S53, if the motor speed approach value is greater than the set first threshold value, and the industrial equipment speed approach value is greater than the set second threshold value, the motor can operate normally, and the motor normal information is output; if the motor speed approach value is greater than the set first threshold value, but the industrial equipment speed approach value is less than the set second threshold value, the motor is abnormal, and the speed cannot be completely converted into the actual speed data of the equipment, and the motor abnormal information is output; S55, judging and processing the power status information to obtain the power status monitoring result of the industrial equipment; and S57, if the motor speed approach value is greater than the set first threshold, the industrial equipment speed approach value is greater than the set second threshold, and the power approach value is equal to the set third threshold, then the industrial equipment power is normal and the output power is normal information; if the motor speed approach value is greater than the set first threshold, the industrial equipment speed approach value is greater than the set second threshold, but the power approach value is greater than the set third threshold, then the industrial equipment power is abnormal and the output power is abnormal information.

8. The method for optimizing the operating status of industrial production line equipment according to claim 1, characterized in that: The step S7, performing abnormality elimination operations on the industrial equipment according to the industrial equipment status monitoring results to obtain normal operation information of the industrial equipment, specifically includes the following steps: S71, analyzing and judging the abnormality information of the motor and the temperature data to determine the cause of the abnormality of the motor; S73, if the motor temperature data is higher than the set fourth threshold, the actual speed data of the equipment is reduced, the motor temperature drops, and the motor can completely convert the speed into the actual speed data of the equipment, then the motor abnormal information is that the motor temperature is too high, and the industrial equipment is decelerated; S75, if the motor temperature data is higher than the set fourth threshold, the actual speed data of the device is reduced, the motor temperature drops, and the motor cannot completely convert the speed into the actual speed data of the device, then the motor abnormal information is other abnormal information, and the motor maintenance instruction is output; S77, analyzing and judging the power abnormality information and the actual speed data of the equipment to determine the cause of the power abnormality; and S79, if the actual speed data of the equipment is increased and the power increases abnormally, a motor maintenance instruction is output; if the actual speed data of the equipment is reduced and the power remains unchanged, a maintenance instruction is output.

9. The method for optimizing the operating status of industrial production line equipment according to claim 1, characterized in that: The step S9, performing optimization processing according to the normal operation information of the industrial equipment to determine the final state of the industrial equipment, specifically includes the following steps: S91, obtaining actual speed data, motor speed, power and motor temperature of the equipment after the abnormality of the industrial equipment is eliminated; S93, increasing the motor speed, adding the actual speed data of the device, monitoring the power and the motor temperature, and obtaining the real-time power and the real-time motor temperature; S95, if the motor speed is greater than the set fifth threshold, the real-time motor temperature is greater than the set sixth threshold, and the real-time power increases abnormally, the fifth threshold is used as the critical value, and the motor speed of the industrial equipment is operated at the fifth threshold; as well as S97, if the motor speed is greater than the set fifth threshold, the real-time motor temperature is greater than the set sixth threshold, and the real-time power has not increased, continue to increase the motor speed. When the real-time power increases abnormally, the previous motor speed when the real-time power increases abnormally is used as the critical value, and the industrial equipment motor speed operates at the critical value.

10. An operating state optimization system for industrial production line equipment, used to implement an operating state optimization method for industrial production line equipment according to any one of claims 1 to 9, characterized in that: include: A data acquisition module (10), the data acquisition module (10) being used to acquire real-time data of industrial equipment; A data analysis module (30), the data analysis module (30) being used to analyze and process the real-time data of the industrial equipment to obtain the real-time status information of the industrial equipment; A judgment module (50), the judgment module (50) is used to perform analysis and judgment processing based on the real-time status information of the industrial equipment to obtain the industrial equipment status monitoring result; An abnormality elimination module (70), the abnormality elimination module (70) is used to perform abnormality elimination operations on industrial equipment according to the industrial equipment status monitoring results, and obtain normal operation information of the industrial equipment; as well as An optimization module (90), wherein the optimization module (90) is used to perform optimization processing based on normal operation information of the industrial equipment to determine the final state of the industrial equipment.

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