A motor detection system for digital papermaking integrated control system
Through the motor detection system of the digital papermaking integrated control system, the problem of insufficient attention to the type of driving load of papermaking machines and the wear of motors in the prior art is solved, the efficient operation of the motor and the stable production of papermaking machines are achieved, and the working efficiency and product quality are improved.
Patent Information
- Application Number
- CN202411743887.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-30
- Publication Date
- 2025-03-11
- Estimated Expiration
- 2044-11-30
AI Technical Summary
The prior art pays little attention to the load type of paper machine drive, which leads to increased energy consumption and cost, which may cause problems such as overheating and overload protection of the motor; at the same time, the attention to the wear of paper machine motors is not high, which leads to unstable motor operation, which increases energy consumption and operating costs, which may cause additional burden on the power grid, and reduces working efficiency and product quality.
Provides a motor detection system for digital papermaking integrated control system, including an information acquisition module, a performance evaluation module and a hazard warning module. The system evaluates the mechanical performance coefficient, wear coefficient and operation safety coefficient by obtaining the paper machine driving load type and motor operating parameters, judges whether the motor start and performance are abnormal, and issues a hazard alarm, providing corresponding solutions.
The attention to the type of drive load of paper machine and the wear of the motor is increased, ensuring that the motor gets the appropriate power, reducing energy consumption and cost, reducing the probability of failure, and improving work efficiency and product quality.
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Figure CN119199529B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of motor detection, and in particular to a motor detection system of a digital papermaking integrated control system. Background Art
[0002] With the increasing application of artificial intelligence and large models, the cornerstone lies in the digitalization process of all walks of life. Papermaking enterprises, as a representative industry with high energy consumption and high asset investment, have ushered in the birth of digital papermaking integrated control systems. The motor, as the core power source of the papermaking machine, is crucial to the stable operation and efficient production of the papermaking machine. Once the motor fails, it will directly threaten the normal operation of the papermaking machine, resulting in a sharp drop in production efficiency and damaged production capacity. In severe cases, it may also disrupt the company's production plan and delivery period. Therefore, the invention of a motor detection system for a digital papermaking integrated control system is of great significance to ensuring the production efficiency and stability of papermaking enterprises.
[0003] Prior art, such as the invention application patent with announcement number: CN109298336A discloses an automobile motor detection system, which proposes an automobile motor detection system, including an electrical parameter detection system, a stall detection system, a temperature detection system and a central early warning processing system, wherein the electrical parameter detection system, the stall detection system and the temperature detection system are all connected to the central early warning processing system; the present invention detects the power supply of the motor through the electrical parameter detection system, performs real-time detection of the motor operation status through the stall detection system, continuously and reliably detects the motor temperature through the temperature detection system, and the central early warning processing system analyzes and processes the data generated by the detection, coordinates the detection of multiple parameters of the automobile motor, improves the accuracy of detecting the motor status, and improves the motor performance.
[0004] There are still some defects in the existing technology, which are specifically reflected in the following aspects: 1. The existing technology does not pay much attention to the drive load of the paper machine. The drive load type of the paper machine determines the power range, overload type and starting curve. If the drive load type is not matched, it will further increase energy consumption and cost, and increase the load of the paper machine motor, which may increase the reactive power of the motor, reduce efficiency, and even cause problems such as motor overheating and overload protection.
[0005] 2. The existing technology does not pay much attention to the wear of paper machine motors. The wear of paper machine motors will lead to an increase in metal particles in the oil of the paper machine motors, an increase in water content, and changes in pH, which will cause corrosion of internal parts of the paper machine motors, and then cause unstable operation of the paper machine motors, thereby affecting the overall operation of the paper machine, increasing energy consumption, and increasing the operating costs of the enterprise. It may also cause additional burdens on the power grid, reduce the working efficiency of the paper machine, and may lead to a decline in product quality, reducing the quality of the products and market competitiveness. Summary of the invention
[0006] The purpose of the present invention is to provide a motor detection system for a digital papermaking integrated control system, which solves the problems existing in the background technology.
[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a motor detection system for a digital papermaking integrated control system, including: an information acquisition module, used to obtain the type of paper machine drive load, obtain the operating parameters of the paper machine motor at each monitoring time point, and determine whether the start-up of the paper machine motor is abnormal. If the start-up of the paper machine motor is normal, the performance evaluation module is executed.
[0008] The performance evaluation module evaluates the mechanical performance coefficient, wear coefficient, and operation safety coefficient of the paper machine motor at each monitoring time point based on the operating parameters of the paper machine motor at each monitoring time point, and determines whether the performance of the paper machine motor is abnormal. If the performance of the paper machine motor is normal, the danger warning module is executed.
[0009] The danger warning module evaluates the mechanical performance fluctuation coefficient, wear fluctuation coefficient and operation safety fluctuation coefficient of the paper machine motor, and determines whether the fluctuations in the mechanical performance, wear and operation safety of the paper machine motor are abnormal.
[0010] The display terminal provides solutions and issues danger alarms for abnormal startup of the paper machine motor, abnormal performance of the paper machine motor, abnormal fluctuations in the mechanical properties, wear, and operation safety of the paper machine motor.
[0011] Preferably, the specific analysis method for judging whether the startup of the paper machine motor is abnormal is as follows: extracting the paper machine drive load type, comparing it with the power of the paper machine motor corresponding to the power range of each drive load type stored in the database, screening out the appropriate power of the paper machine motor, extracting the actual power of the paper machine motor, and comparing it with the appropriate power of the paper machine motor; if the actual power of the paper machine motor is the same as the appropriate power of the paper machine motor, then it is determined that the startup of the paper machine motor is normal; otherwise, if the actual power of the paper machine motor is different from the appropriate power of the paper machine motor, then it is determined that the startup of the paper machine motor is abnormal.
[0012] Preferably, the mechanical performance coefficient of the paper machine motor at each monitoring time point is evaluated, and the specific analysis method is: extracting the amplitude and frequency of the vibration of the paper machine motor at each monitoring time point, extracting the noise level of the paper machine motor at each monitoring time point, and then evaluating the mechanical performance coefficient of the paper machine motor at each monitoring time point, and the calculation formula is:
[0013] ,in represents the mechanical performance coefficient of the paper machine motor at the ith monitoring time point, represents the vibration amplitude of the paper machine motor at the ith monitoring time point, Indicates the preset safe amplitude of vibration of the paper machine motor. represents the vibration frequency of the paper machine motor at the ith monitoring time point, Indicates the preset safe frequency of vibration of the paper machine motor. represents the noise level of the paper machine motor at the i-th monitoring time point, represents the preset safe noise level of the paper machine motor, e represents the natural constant, i represents the number of each monitoring time point, , j is a positive integer greater than 2.
[0014] Preferably, the wear coefficient of the paper machine motor at each monitoring time point is evaluated by a specific analysis method: extracting the number and particle size of metal particles of the paper machine motor oil at each monitoring time point, extracting the moisture content of the paper machine motor oil at each monitoring time point, extracting the pH value of the paper machine motor oil at each monitoring time point, and then evaluating the wear coefficient of the paper machine motor at each monitoring time point, and the calculation formula is:
[0015] ,in represents the wear coefficient of the paper machine motor at the i-th monitoring time point, represents the number of metal particles in the paper machine motor oil at the i-th monitoring time point, Indicates the preset safe amount of metal particles in paper machine motor oil. represents the particle size of metal particles in the paper machine motor oil at the i-th monitoring time point, Indicates the preset safe particle size of metal particles in paper machine motor oil. represents the moisture content of the paper machine motor oil at the i-th monitoring time point, Indicates the preset safe water content of paper machine motor oil. represents the pH value of the paper machine motor oil at the i-th monitoring time point, Indicates the preset safe pH value of paper machine motor oil.
[0016] Preferably, the specific analysis method for evaluating the operation safety factor of the paper machine motor at each monitoring time point is: extracting the temperature of the paper machine motor at each monitoring time point, extracting the current of the paper machine motor at each monitoring time point, extracting the voltage of the paper machine motor at each monitoring time point, extracting the speed of the paper machine motor at each monitoring time point, and then evaluating the operation safety factor of the paper machine motor at each monitoring time point, and the calculation formula is:
[0017] ,in represents the operating safety factor of the paper machine motor at the i-th monitoring time point, represents the temperature of the paper machine motor at the ith monitoring time point, Indicates the safe temperature range of the paper machine motor. represents the current of the paper machine motor at the ith monitoring time point, Indicates the safe current range of the paper machine motor. represents the voltage of the paper machine motor at the ith monitoring time point, Indicates the safe voltage range of the paper machine motor. represents the speed of the paper machine motor at the i-th monitoring time point, Indicates the safe speed range of paper machine motor.
[0018] Preferably, the specific analysis method for judging whether the performance of the paper machine motor is abnormal is: extracting the mechanical performance coefficient, wear coefficient and operation safety factor of the paper machine motor at each monitoring time point, comparing the mechanical performance coefficient of the paper machine motor at each monitoring time point with the preset safety mechanical performance coefficient, the wear coefficient of the paper machine motor at each monitoring time point with the preset safety wear coefficient, and the operation safety factor of the paper machine motor at each monitoring time point with the preset safe operation safety factor; if the mechanical performance coefficient at a certain monitoring time point is lower than the preset safety mechanical performance coefficient, if the wear coefficient at a certain monitoring time point is higher than the preset safety wear coefficient, or if the operation safety factor at a certain monitoring time point is lower than the preset safe operation safety factor, then it is determined that the performance of the paper machine motor is abnormal.
[0019] On the contrary, if the mechanical performance coefficient at all monitoring time points is higher than the preset safe mechanical performance coefficient, the wear coefficient at all monitoring time points is lower than the preset safe wear coefficient, and the operation safety factor at all monitoring time points is higher than the preset safe operation safety factor, then the performance of the paper machine motor is judged to be normal.
[0020] Preferably, the specific analysis method for evaluating the fluctuation coefficient of the mechanical properties of the paper machine motor is as follows:
[0021] The coefficient of fluctuation of the mechanical performance of the paper machine motor is evaluated by the following formula:
[0022] ,in Indicates the fluctuation coefficient of the mechanical performance of the paper machine motor, Indicates the paper machine motor The mechanical properties coefficient at each monitoring time point, Indicates the number of monitoring time points.
[0023] Preferably, the determination of whether the fluctuations in the mechanical properties, wear and operation safety of the paper machine motor are abnormal is specifically analyzed by comparing the fluctuation coefficient of the mechanical properties of the paper machine motor with a preset safety fluctuation coefficient of the mechanical properties of the paper machine motor; if the fluctuation coefficient of the mechanical properties of the paper machine motor is higher than the preset safety fluctuation coefficient of the mechanical properties of the paper machine motor, then it is determined that the fluctuation of the mechanical properties of the paper machine motor is abnormal.
[0024] The fluctuation coefficient of the wear of the paper machine motor is compared with the preset safety fluctuation coefficient of the wear of the paper machine motor. If the fluctuation coefficient of the wear of the paper machine motor is higher than the preset safety fluctuation coefficient of the wear of the paper machine motor, it is determined that the wear fluctuation of the paper machine motor is abnormal.
[0025] The fluctuation coefficient of the operation safety of the paper machine motor is compared with the preset safety fluctuation coefficient of the operation safety of the paper machine motor. If the fluctuation coefficient of the operation safety of the paper machine motor is higher than the preset safety fluctuation coefficient of the operation safety of the paper machine motor, it is determined that the operation safety fluctuation of the paper machine motor is abnormal.
[0026] Preferably, the solution provided is specifically analyzed in the following way: if the motor startup is judged to be abnormal due to the concentration of the paper machine pulp, the power of the paper machine motor is changed.
[0027] If the motor is judged to be abnormal due to the mechanical properties of the paper machine motor or the fluctuation of the mechanical properties of the paper machine motor, the performance of the paper machine motor is inspected and repaired.
[0028] If the motor is judged to be abnormal due to the wear of the paper machine motor or the fluctuation of the wear of the paper machine motor, the wear of the paper machine motor is inspected and repaired.
[0029] If the motor is judged to be abnormal due to the fluctuation of the operation safety of the paper machine motor and the operation safety of the paper machine motor, the operation safety of the paper machine motor is inspected and repaired.
[0030] Preferably, the database is used to store each pulp concentration interval, the safe amplitude and safe frequency of the vibration of the paper machine motor and the safe noise level of the paper machine motor, and also stores the safe number and safe particle size of metal particles in the paper machine motor oil, the safe moisture content, safe pH value, safe temperature range, safe current range and safe voltage range of the paper machine motor, and also stores the safe mechanical performance coefficient, safe wear coefficient, safe operation safety factor and the mechanical performance coefficient of the paper machine motor and the safety fluctuation coefficient of the safe operation safety factor.
[0031] The beneficial effects of the present invention are: 1. The present invention increases attention to the concentration of paper machine pulp, ensures that the appropriate power of the paper machine motor is obtained according to the concentration of the paper machine pulp, improves the working efficiency of the paper machine motor, reduces the energy consumption and cost of the paper machine motor, reduces the probability of failure of the paper machine motor, and thus improves the working efficiency of the paper machine.
[0032] 2. The present invention increases the concern about the wear of the paper machine motor, analyzes the wear coefficient of the paper machine motor from the number and particle size of the metal particles in the paper machine motor oil, the water content and the pH value of the paper machine motor oil, reduces the probability of failure of the paper machine due to wear of the paper machine motor, improves the safety of the paper machine motor, and further improves the working efficiency of the paper machine, improves the product quality, and enhances the product quality and market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0034] Figure 1 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION
[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0036] Reference Figure 1 As shown, the present invention provides a motor detection system for a digital papermaking integrated control system, including: an information acquisition module for obtaining the paper driving load type of a paper machine, obtaining the operating parameters of the paper machine motor at each monitoring time point, and determining whether the start-up of the paper machine motor is abnormal. If the start-up of the paper machine motor is normal, a performance evaluation module is executed.
[0037] In a specific embodiment, the determination of whether the startup of the paper machine motor is abnormal is performed by a specific analysis method as follows: extracting the paper machine drive load type, comparing it with the power of the paper machine motor corresponding to each drive load type stored in a database, screening out the appropriate power of the paper machine motor, extracting the actual power of the paper machine motor, and comparing it with the appropriate power of the paper machine motor; if the actual power of the paper machine motor is the same as the appropriate power of the paper machine motor, then it is determined that the startup of the paper machine motor is normal; otherwise, if the actual power of the paper machine motor is different from the appropriate power of the paper machine motor, then it is determined that the startup of the paper machine motor is abnormal.
[0038] It should be noted that the actual power of the paper machine motor is obtained through the detection circuit of the power analyzer and the drive device.
[0039] The present invention increases attention to the type of paper machine drive load, ensures that the appropriate power of the paper machine motor is obtained according to the type of paper machine drive load, improves the working efficiency of the paper machine motor, reduces the energy consumption and cost of the paper machine motor, reduces the probability of failure of the paper machine motor, and thus improves the working efficiency of the paper machine.
[0040] The performance evaluation module evaluates the mechanical performance coefficient, wear coefficient, and operation safety coefficient of the paper machine motor at each monitoring time point based on the operating parameters of the paper machine motor at each monitoring time point, and determines whether the performance of the paper machine motor is abnormal. If the performance of the paper machine motor is normal, the danger warning module is executed.
[0041] In a specific embodiment, the mechanical performance coefficient of the paper machine motor at each monitoring time point is evaluated, and the specific analysis method is: extracting the amplitude and frequency of the vibration of the paper machine motor at each monitoring time point, extracting the noise level of the paper machine motor at each monitoring time point, and then evaluating the mechanical performance coefficient of the paper machine motor at each monitoring time point, and the calculation formula is:
[0042] ,in represents the mechanical performance coefficient of the paper machine motor at the ith monitoring time point, represents the vibration amplitude of the paper machine motor at the ith monitoring time point, Indicates the preset safe amplitude of vibration of the paper machine motor. represents the vibration frequency of the paper machine motor at the ith monitoring time point, Indicates the preset safe frequency of vibration of the paper machine motor. represents the noise level of the paper machine motor at the i-th monitoring time point, represents the preset safe noise level of the paper machine motor, e represents the natural constant, i represents the number of each monitoring time point, , j is a positive integer greater than 2.
[0043] It should be noted that the vibration amplitude and frequency of the paper machine motor at each monitoring time point are obtained by the vibration sensor, and the noise level of the paper machine motor at each monitoring time point is obtained by the noise meter.
[0044] In a specific embodiment, the wear coefficient of the paper machine motor at each monitoring time point is evaluated by a specific analysis method: extracting the number and particle size of metal particles of the paper machine motor oil at each monitoring time point, extracting the moisture content of the paper machine motor oil at each monitoring time point, extracting the pH value of the paper machine motor oil at each monitoring time point, and then evaluating the wear coefficient of the paper machine motor at each monitoring time point. The calculation formula is:
[0045] ,in represents the wear coefficient of the paper machine motor at the i-th monitoring time point, represents the number of metal particles in the paper machine motor oil at the i-th monitoring time point, Indicates the preset safe amount of metal particles in paper machine motor oil. represents the particle size of metal particles in the paper machine motor oil at the i-th monitoring time point, Indicates the preset safe particle size of metal particles in paper machine motor oil. represents the moisture content of the paper machine motor oil at the i-th monitoring time point, Indicates the preset safe water content of paper machine motor oil. represents the pH value of the paper machine motor oil at the i-th monitoring time point, Indicates the preset safe pH value of paper machine motor oil.
[0046] It should be noted that the number and particle size of metal particles in the paper machine motor oil at each monitoring time point are obtained through the oil particle sensor, the moisture content of the paper machine motor oil at each monitoring time point is obtained through the oil moisture content sensor, and the pH value of the paper machine motor oil at each monitoring time point is obtained through the acidity sensor.
[0047] The present invention increases the concern about the wear of the paper machine motor, analyzes the wear coefficient of the paper machine motor from the number and particle size of metal particles in the paper machine motor oil, the water content and the pH value of the paper machine motor oil, reduces the probability of the paper machine motor failing due to wear, improves the safety of the paper machine motor, and further improves the working efficiency of the paper machine, improves the product quality, and enhances the product quality and market competitiveness.
[0048] In a specific embodiment, the operation safety factor of the paper machine motor at each monitoring time point is evaluated, and the specific analysis method is: extracting the temperature of the paper machine motor at each monitoring time point, extracting the current of the paper machine motor at each monitoring time point, extracting the voltage of the paper machine motor at each monitoring time point, and then evaluating the operation safety factor of the paper machine motor at each monitoring time point, and the calculation formula is:
[0049] ,in represents the operating safety factor of the paper machine motor at the i-th monitoring time point, represents the temperature of the paper machine motor at the ith monitoring time point, Indicates the safe temperature range of the paper machine motor. represents the current of the paper machine motor at the ith monitoring time point, Indicates the safe current range of the paper machine motor. represents the voltage of the paper machine motor at the ith monitoring time point, Indicates the safe voltage range of the paper machine motor. represents the speed of the paper machine motor at the i-th monitoring time point, Indicates the safe speed range of paper machine motor.
[0050] It should be noted that the temperature of the paper machine motor at each monitoring time point is obtained through a temperature sensor, the current of the paper machine motor at each monitoring time point is obtained through an ammeter, and the voltage of the paper machine motor at each monitoring time point is obtained through a voltmeter.
[0051] In a specific embodiment, the specific analysis method for determining whether the performance of the paper machine motor is abnormal is as follows: extracting the mechanical performance coefficient, wear coefficient and operation safety factor of the paper machine motor at each monitoring time point, comparing the mechanical performance coefficient of the paper machine motor at each monitoring time point with the preset safety mechanical performance coefficient, the wear coefficient of the paper machine motor at each monitoring time point with the preset safety wear coefficient, and the operation safety factor of the paper machine motor at each monitoring time point with the preset safety operation safety factor; if the mechanical performance coefficient at a certain monitoring time point is lower than the preset safety mechanical performance coefficient, if the wear coefficient at a certain monitoring time point is higher than the preset safety wear coefficient, or if the operation safety factor at a certain monitoring time point is lower than the preset safety operation safety factor, then it is determined that the performance of the paper machine motor is abnormal.
[0052] On the contrary, if the mechanical performance coefficient at all monitoring time points is higher than the preset safe mechanical performance coefficient, the wear coefficient at all monitoring time points is lower than the preset safe wear coefficient, and the operation safety factor at all monitoring time points is higher than the preset safe operation safety factor, then the performance of the paper machine motor is judged to be normal.
[0053] The danger warning module evaluates the mechanical performance fluctuation coefficient, wear fluctuation coefficient and operation safety fluctuation coefficient of the paper machine motor, and determines whether the fluctuations in the mechanical performance, wear and operation safety of the paper machine motor are abnormal.
[0054] In a specific embodiment, the fluctuation coefficient of the mechanical properties of the paper machine motor is evaluated, and the specific analysis method is: the fluctuation coefficient of the mechanical properties of the paper machine motor is evaluated, and the calculation formula is:
[0055] ,in Indicates the fluctuation coefficient of the mechanical performance of the paper machine motor, Indicates the paper machine motor The mechanical properties coefficient at each monitoring time point, Indicates the number of monitoring time points.
[0056] It should be noted that the fluctuation coefficient of wear of the paper machine motor and the fluctuation coefficient of operational safety of the paper machine motor are obtained in the same way.
[0057] In a specific embodiment, the determination of whether the fluctuations in the mechanical properties, wear, and operational safety of the paper machine motor are abnormal is performed by a specific analysis method as follows: comparing the fluctuation coefficient of the mechanical properties of the paper machine motor with a preset safety fluctuation coefficient of the mechanical properties of the paper machine motor; if the fluctuation coefficient of the mechanical properties of the paper machine motor is higher than the preset safety fluctuation coefficient of the mechanical properties of the paper machine motor, then it is determined that the fluctuation of the mechanical properties of the paper machine motor is abnormal.
[0058] The fluctuation coefficient of the wear of the paper machine motor is compared with the preset safety fluctuation coefficient of the wear of the paper machine motor. If the fluctuation coefficient of the wear of the paper machine motor is higher than the preset safety fluctuation coefficient of the wear of the paper machine motor, it is determined that the wear fluctuation of the paper machine motor is abnormal.
[0059] The fluctuation coefficient of the operation safety of the paper machine motor is compared with the preset safety fluctuation coefficient of the operation safety of the paper machine motor. If the fluctuation coefficient of the operation safety of the paper machine motor is higher than the preset safety fluctuation coefficient of the operation safety of the paper machine motor, it is determined that the operation safety fluctuation of the paper machine motor is abnormal.
[0060] The display terminal provides solutions and issues danger alarms for abnormal startup of the paper machine motor, abnormal performance of the paper machine motor, abnormal fluctuations in the mechanical properties, wear, and operation safety of the paper machine motor.
[0061] In a specific embodiment, the solution provided is specifically analyzed in the following way: if the motor startup is judged to be abnormal due to the concentration of the paper machine pulp, the power of the paper machine motor is changed.
[0062] If the motor is judged to be abnormal due to the mechanical properties of the paper machine motor or the fluctuation of the mechanical properties of the paper machine motor, the performance of the paper machine motor is inspected and repaired.
[0063] If the motor is judged to be abnormal due to the wear of the paper machine motor or the fluctuation of the wear of the paper machine motor, the wear of the paper machine motor is inspected and repaired.
[0064] If the motor is judged to be abnormal due to the fluctuation of the operation safety of the paper machine motor and the operation safety of the paper machine motor, the operation safety of the paper machine motor is inspected and repaired.
[0065] In a specific embodiment, the database is used to store the safe amplitude, safe frequency and safe noise level of each driving load type and the vibration of the paper machine motor, and also stores the safe number and safe particle size of metal particles in the paper machine motor oil, the safe moisture content, safe pH value, safe temperature range, safe current range and safe voltage range of the paper machine motor, and also stores the safe mechanical performance coefficient, safe wear coefficient, safe operation safety factor and the mechanical performance coefficient of the paper machine motor, and the safety fluctuation coefficient of the safe operation safety factor.
[0066] The information acquisition module is connected to the performance evaluation module, the performance evaluation module is connected to the danger warning module, and the information acquisition module, the performance evaluation module and the danger warning module are connected to the database and the display terminal at the same time.
[0067] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.
Claims
1. A motor detection system for a digital papermaking integrated control system, characterized in that: include: An information acquisition module is used to obtain the type of paper machine drive load, obtain the operating parameters of the paper machine motor at each monitoring time point, and determine whether the paper machine motor starts abnormally. If the paper machine motor starts normally, the performance evaluation module is executed; The performance evaluation module evaluates the mechanical performance coefficient, wear coefficient, and operation safety coefficient of the paper machine motor at each monitoring time point based on the operating parameters of the paper machine motor at each monitoring time point, and determines whether the performance of the paper machine motor is abnormal. If the performance of the paper machine motor is normal, the danger warning module is executed; The specific analysis method for evaluating the mechanical performance coefficient of the paper machine motor at each monitoring time point is as follows: The vibration amplitude and frequency of the paper machine motor at each monitoring time point are extracted, and the noise level of the paper machine motor at each monitoring time point is extracted, and then the mechanical performance coefficient of the paper machine motor at each monitoring time point is evaluated. The calculation formula is: ,in represents the mechanical performance coefficient of the paper machine motor at the ith monitoring time point, represents the vibration amplitude of the paper machine motor at the ith monitoring time point, Indicates the preset safe amplitude of vibration of the paper machine motor. represents the vibration frequency of the paper machine motor at the ith monitoring time point, Indicates the preset safe frequency of vibration of the paper machine motor. represents the noise level of the paper machine motor at the i-th monitoring time point, represents the preset safe noise level of the paper machine motor, e represents the natural constant, i represents the number of each monitoring time point, j is a positive integer greater than 2; The specific analysis method for evaluating the wear coefficient of the paper machine motor at each monitoring time point is as follows: The number and particle size of metal particles at each monitoring time point of the paper machine motor oil are extracted, the moisture content of the paper machine motor oil is extracted, and the pH value of the paper machine motor oil is extracted at each monitoring time point, and then the wear coefficient of the paper machine motor at each monitoring time point is evaluated. The calculation formula is: ,in represents the wear coefficient of the paper machine motor at the i-th monitoring time point, represents the number of metal particles in the paper machine motor oil at the i-th monitoring time point, Indicates the preset safe amount of metal particles in paper machine motor oil. represents the particle size of metal particles in the paper machine motor oil at the i-th monitoring time point, Indicates the preset safe particle size of metal particles in paper machine motor oil. represents the moisture content of the paper machine motor oil at the i-th monitoring time point, Indicates the preset safe water content of paper machine motor oil. represents the pH value of the paper machine motor oil at the i-th monitoring time point, Indicates the preset safe pH value of paper machine motor oil; The specific analysis method for evaluating the operation safety factor of the paper machine motor at each monitoring time point is as follows: Extract the temperature of the paper machine motor at each monitoring time point, extract the current of the paper machine motor at each monitoring time point, extract the voltage of the paper machine motor at each monitoring time point, and extract the speed of the paper machine motor at each monitoring time point, and then evaluate the operation safety factor of the paper machine motor at each monitoring time point. The calculation formula is: ,in represents the operating safety factor of the paper machine motor at the i-th monitoring time point, represents the temperature of the paper machine motor at the ith monitoring time point, Indicates the safe temperature range of the paper machine motor. represents the current of the paper machine motor at the ith monitoring time point, Indicates the safe current range of the paper machine motor. represents the voltage of the paper machine motor at the ith monitoring time point, Indicates the safe voltage range of the paper machine motor. represents the speed of the paper machine motor at the i-th monitoring time point, Indicates the safe speed range of the paper machine motor; Danger warning module, which evaluates the mechanical performance fluctuation coefficient, wear fluctuation coefficient and operation safety fluctuation coefficient of the paper machine motor, and determines whether the fluctuation of the mechanical performance, wear and operation safety of the paper machine motor is abnormal; The display terminal provides solutions and issues danger alarms for abnormal startup of the paper machine motor, abnormal performance of the paper machine motor, abnormal fluctuations in the mechanical properties, wear, and operation safety of the paper machine motor.
2. The motor detection system of a digital papermaking integrated control system according to claim 1 is characterized in that: The specific analysis method for judging whether the paper machine motor startup is abnormal is as follows: Extract the paper machine drive load type, compare it with the power of the paper machine motor corresponding to the drive load type stored in the database, screen out the appropriate power of the paper machine motor, extract the actual power of the paper machine motor, and compare it with the appropriate power of the paper machine motor. If the actual power of the paper machine motor is the same as the appropriate power of the paper machine motor, it is determined that the paper machine motor starts normally. Otherwise, if the actual power of the paper machine motor is different from the appropriate power of the paper machine motor, it is determined that the paper machine motor starts abnormally.
3. The motor detection system of a digital papermaking integrated control system according to claim 1 is characterized in that: The specific analysis method for judging whether the performance of the paper machine motor is abnormal is as follows: Extract the mechanical performance coefficient, wear coefficient and operation safety factor of the paper machine motor at each monitoring time point, compare the mechanical performance coefficient of the paper machine motor at each monitoring time point with the preset safety mechanical performance coefficient, the wear coefficient of the paper machine motor at each monitoring time point with the preset safety wear coefficient, and the operation safety factor of the paper machine motor at each monitoring time point with the preset safety operation safety factor; if the mechanical performance coefficient at a certain monitoring time point is lower than the preset safety mechanical performance coefficient, if the wear coefficient at a certain monitoring time point is higher than the preset safety wear coefficient, or if the operation safety factor at a certain monitoring time point is lower than the preset safety operation safety factor, it is determined that the performance of the paper machine motor is abnormal; On the contrary, if the mechanical performance coefficient at all monitoring time points is higher than the preset safe mechanical performance coefficient, the wear coefficient at all monitoring time points is lower than the preset safe wear coefficient, and the operation safety factor at all monitoring time points is higher than the preset safe operation safety factor, then the performance of the paper machine motor is judged to be normal.
4. The motor detection system of a digital papermaking integrated control system according to claim 1 is characterized in that: The specific analysis method for evaluating the fluctuation coefficient of the mechanical properties of the paper machine motor is as follows: The coefficient of fluctuation of the mechanical performance of the paper machine motor is evaluated by the following formula: ,in Indicates the fluctuation coefficient of the mechanical performance of the paper machine motor, Indicates the paper machine motor The mechanical properties coefficient at each monitoring time point, Indicates the number of monitoring time points.
5. The motor detection system of the digital papermaking integrated control system according to claim 4 is characterized in that: The specific analysis method for judging whether the fluctuation of mechanical performance, wear and operation safety of the paper machine motor is abnormal is as follows: Comparing the fluctuation coefficient of the mechanical performance of the paper machine motor with a preset safety fluctuation coefficient of the mechanical performance of the paper machine motor, if the fluctuation coefficient of the mechanical performance of the paper machine motor is higher than the preset safety fluctuation coefficient of the mechanical performance coefficient of the paper machine motor, then determining that the fluctuation of the mechanical performance of the paper machine motor is abnormal; Comparing the fluctuation coefficient of the wear of the paper machine motor with the preset safety fluctuation coefficient of the wear of the paper machine motor, if the fluctuation coefficient of the wear of the paper machine motor is higher than the preset safety fluctuation coefficient of the wear of the paper machine motor, it is determined that the wear fluctuation of the paper machine motor is abnormal; The fluctuation coefficient of the operation safety of the paper machine motor is compared with the preset safety fluctuation coefficient of the operation safety of the paper machine motor. If the fluctuation coefficient of the operation safety of the paper machine motor is higher than the preset safety fluctuation coefficient of the operation safety of the paper machine motor, it is determined that the operation safety fluctuation of the paper machine motor is abnormal.
6. The motor detection system of a digital papermaking integrated control system according to claim 1 is characterized in that: The solution provided is as follows: If the motor startup is judged to be abnormal due to the concentration of the paper machine pulp, the power of the paper machine motor is changed; If the motor is judged to be abnormal due to the mechanical properties of the paper machine motor and the fluctuation of the mechanical properties of the paper machine motor, the performance of the paper machine motor shall be inspected and repaired; If the motor is judged to be abnormal due to the wear of the paper machine motor or the fluctuation of the wear of the paper machine motor, the wear of the paper machine motor shall be inspected and repaired; If the motor is judged to be abnormal due to the fluctuation of the operation safety of the paper machine motor and the operation safety of the paper machine motor, the operation safety of the paper machine motor is inspected and repaired.
7. The motor detection system of a digital papermaking integrated control system according to claim 1 is characterized in that: It also includes a database for storing the power range of each driving load, the safe amplitude and frequency of the vibration of the paper machine motor and the safe noise level of the paper machine motor, the safe number and safe particle size of metal particles in the paper machine motor oil, the safe moisture content, safe pH value, safe temperature range, safe current range and safe voltage range of the paper machine motor, and the safe mechanical performance coefficient, safe wear coefficient, safe operation safety factor and the safe fluctuation coefficient of the mechanical performance coefficient, safe wear coefficient and safe operation safety factor of the paper machine motor.
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