Intelligent monitoring system for mechanical and electrical installation

Abstract

The invention discloses an intelligent monitoring system for electromechanical installation, and relates to the technical field of electromechanical installation monitoring, a parameter acquisition module acquires mechanical parameters and electrical parameters generated in the installation process of a motor through a data interface, and an analysis module analyzes the mechanical parameters and the electrical parameters through an installation analysis model to generate quantitative indexes for the motor. The evaluation module evaluates the quantitative index of the motor, analyzes whether the motor has an installation risk or not, carries out installation effect division on the motor according to an evaluation result, uploads the motor to the database, and sends an installation effect division result to the database for storage. And the warning module sends an alarm prompt to an administrator. After the motor is installed, the monitoring system can comprehensively analyze mechanical parameters and electrical parameters of the motor in the installation process to judge whether the motor has installation risks or not, and therefore stable use of the motor is effectively guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of electromechanical installation monitoring, and in particular to an electromechanical installation intelligent monitoring system. Background Art

[0002] Electric motors are devices that convert electrical energy into mechanical energy and are widely used in various fields, including industry, commerce and home. The installation of electric motors is an important process to ensure their normal operation, efficient operation and correct connection with other systems. In the process of automated installation of existing electric motors, after each installation step is completed, various instruments are mainly used to detect certain indicators in the current installation step (such as alignment detection after mechanical installation is completed). When the indicator exceeds or falls below the preset threshold of the instrument, the instrument issues an alarm to prompt that adjustment or secondary installation is required. However, since the installation process of the electric motor involves mechanical and electrical installation, when the motor is fully installed, if multiple indicators are developing in a bad direction but are not higher than or lower than the preset threshold, although it will not affect the normal use of the motor in the early stage, it will shorten the service life of the motor and increase the risk of motor failure.

[0003] Based on this, the present invention proposes an intelligent monitoring system for electromechanical installation, which can monitor various indicators in real time during the motor installation process, and determine whether the motor has potential faults and warnings after the motor installation is completed, so as to ensure the stable use of the motor after installation. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent monitoring system for electromechanical installation to solve the deficiencies in the background technology.

[0005] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: an intelligent monitoring system for electromechanical installation, comprising an alignment monitoring module, a bearing monitoring module, a circuit monitoring module, an impedance monitoring module, a parameter acquisition module, an analysis module, an evaluation module, a warning module, and a management module;

[0006] Alignment monitoring module: monitors the alignment between the motor and the transmission system through the alignment tool;

[0007] Bearing monitoring module: uses vibration sensors to monitor the vibration level of the bearing;

[0008] Circuit monitoring module: monitors the voltage, current and power factor of the motor through the electric energy meter;

[0009] Impedance monitoring module: Use insulation tester to detect the insulation impedance of the motor;

[0010] Parameter acquisition module: After the motor is installed, the mechanical parameters and electrical parameters generated during the motor installation process are acquired through the data interface. The mechanical parameters include alignment status and bearing vibration, and the electrical parameters include voltage, current, power factor and insulation resistance.

[0011] Analysis module: After preprocessing the mechanical parameters and electrical parameters, the analysis model is installed to analyze the mechanical parameters and electrical parameters to generate quantitative indexes for the motor;

[0012] Evaluation module: After evaluating the quantitative index of the motor, analyze whether the motor has installation risks, and divide the installation effects of the motor according to the evaluation results and upload them to the database;

[0013] Warning module: When there are abnormalities in mechanical parameters, electrical parameters, or when the motor is assessed to have installation risks, an alarm will be issued to the administrator;

[0014] Management module: Regularly obtain and analyze the historical motor installation effect classification results through the database to determine whether the motor automation installation equipment needs to be maintained in advance.

[0015] Preferably, the analysis module preprocesses the mechanical parameters and electrical parameters, and obtains mechanical parameters including centering offset and bearing vibration standard deviation, and electrical parameters including power factor and insulation impedance;

[0016] Substitute the centering offset, bearing vibration standard deviation, power factor and insulation impedance into the installation analysis model to obtain the quantitative index. The function expression is:

[0017] In the formula, lh z is the quantitative index, zls is the centering offset, pdg is the bearing vibration standard deviation, jyz is the power factor, gly is the insulation resistance, (zls+pdg) is the mechanical parameter, (jyz+gly) is the electrical parameter, β and α are the proportional coefficients of mechanical parameters and electrical parameters respectively, and β and α are both greater than 0. The larger the quantitative index is, the more likely the motor is to have installation risks, resulting in a shortened later use cycle.

[0018] Preferably, after the evaluation module obtains the quantitative index of the motor, the quantitative index of the motor is compared with a preset gradient threshold, the gradient threshold includes a first risk threshold and a second risk threshold, the first risk threshold is used to determine whether there is an installation risk in the installation of the motor, and the second risk threshold is used to determine the severity of the motor installation risk;

[0019] If the quantitative index is less than or equal to the first risk threshold, it is determined that there is no installation risk in the installation of the motor;

[0020] If the quantitative index is greater than the first risk threshold, it is determined that there is an installation risk in the installation of the motor;

[0021] If the quantitative index is greater than the first risk threshold, and the quantitative index is less than or equal to the second risk threshold, it is determined that the motor installation risk is slight;

[0022] If the quantitative index is greater than the second risk threshold, it is determined that the motor installation risk is serious.

[0023] Preferably, when it is determined that there is no installation risk in the motor installation, the evaluation module classifies this installation into an excellent set; when it is determined that the motor installation risk is slight, the evaluation module classifies this installation into a medium set; when it is determined that the motor installation risk is serious, the evaluation module classifies this installation into a poor set.

[0024] Preferably, the management module obtains the number of all motors installed in the history of the motor automation installation equipment through a database, and obtains the number in the excellent set, the medium set and the poor set;

[0025] The maintenance value is obtained by weighting the number of the excellent set, the medium set, and the poor set. The function expression is:

[0026] Where wf z To maintain the value, sl c is the number of motor installations in the difference set, sl z is the number of motor installations in the medium set, sl y is the number of motor installations in the optimal set;

[0027] After obtaining the maintenance value, compare the maintenance value with the maintenance threshold. If the maintenance value is less than or equal to the maintenance threshold, it indicates that the historical operating status of the motor automation installation equipment is good, and it is judged that there is no need to perform maintenance on the motor automation installation equipment in advance. If the maintenance value is greater than the maintenance threshold, it indicates that the historical operating status of the motor automation installation equipment is poor, and it is judged that there is a need to perform maintenance on the motor automation installation equipment in advance.

[0028] Preferably, the bearing monitoring module sets vibration monitoring parameters, including sampling frequency and monitoring time, and measures the baseline vibration level under normal operating conditions to monitor vibration data in real time;

[0029] The centering monitoring module uses a level to measure the reference line so that the installation surfaces of the transmission system and the motor are on a horizontal plane, and uses an alignment tool to set the target position, which includes the corresponding axis or target point of the transmission system. According to the instructions of the alignment tool, the position of the motor is adjusted so that the motor axis is aligned with the target position.

[0030] Preferably, the circuit monitoring module calibrates the electric energy meter regularly, and when the motor is running, the voltage, current and power factor of the motor are monitored in real time through the electric energy meter, and the target value of the power factor is set according to the design requirements and energy efficiency standards, the power factor is monitored in real time, and the actual value is compared with the set target value;

[0031] The impedance monitoring module starts the insulation tester to perform an insulation test. The tester applies voltage and measures the corresponding insulation impedance or insulation current, and records the test results, including the insulation impedance value, test time, and test voltage. The test results are compared with the insulation impedance standard to determine whether they meet the requirements or whether there are potential insulation problems.

[0032] A method for intelligent monitoring of electromechanical installations, the monitoring method comprising the following steps:

[0033] During the mechanical installation phase of the motor, the alignment between the motor and the transmission system is monitored by an alignment tool, and the vibration level of the bearing is monitored by a vibration sensor, which will issue an alarm when there is an abnormality in the mechanical parameter stage;

[0034] During the electrical installation phase of the motor, monitor the electrical parameters of the motor, including voltage, current, power factor, and insulation resistance. Use an electric energy meter to monitor the voltage, current, and power factor, and use an insulation tester to detect the insulation resistance of the motor. When there is an abnormality in the electrical parameters, an alarm will be issued;

[0035] After the motor is installed, the mechanical parameters and electrical parameters generated during the motor installation process are obtained through the data interface;

[0036] After preprocessing the mechanical parameters and electrical parameters, the mechanical parameters and electrical parameters are analyzed by installing an analytical model to generate quantitative indices for the motor;

[0037] After evaluating the quantitative index of the motor, analyze whether the motor has installation risks, and divide the installation effects of the motor according to the evaluation results and upload them to the database;

[0038] Regularly obtain and analyze the historical motor installation effect classification results through the database to determine whether the motor automation installation equipment needs to be maintained in advance.

[0039] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0040] 1. After the motor is installed, the parameter acquisition module of the present invention obtains the mechanical parameters and electrical parameters generated during the installation of the motor through the data interface. After the analysis module pre-processes the mechanical parameters and electrical parameters, it analyzes the mechanical parameters and electrical parameters through the installation analysis model to generate a quantitative index for the motor. The evaluation module evaluates the quantitative index of the motor and then analyzes whether the motor has installation risks. The motor is divided into installation effects according to the evaluation results and uploaded to the database. The evaluation results are sent to the warning module, and the installation effect division results are sent to the database for storage. When there are abnormalities in the mechanical parameters, the electrical parameters, or the motor is evaluated to have installation risks, the warning module sends an alarm to the administrator. After the motor is installed, the monitoring system can comprehensively analyze the mechanical parameters and electrical parameters of the motor during the installation process to determine whether the motor has installation risks, thereby effectively ensuring the stable use of the motor.

[0041] 2. The present invention evaluates the quantitative index of the motor through the evaluation module and then analyzes whether the motor has installation risks, and divides the installation effects of the motor according to the evaluation results and uploads them to the database. The evaluation results are sent to the warning module, and the installation effect division results are sent to the database for storage. The management module regularly obtains the historical motor installation effect division results through the database and analyzes them, and then determines whether the motor automation installation equipment needs to be maintained in advance, thereby determining whether the motor automation installation equipment needs to be maintained through the motor installation process, thereby improving the management effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0043] Figure 1 It is a system module diagram of the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0045] Example: See Figure 1As shown, the electromechanical installation intelligent monitoring system described in this embodiment includes an alignment monitoring module, a bearing monitoring module, a circuit monitoring module, an impedance monitoring module, a parameter acquisition module, an analysis module, an evaluation module, a warning module, and a management module;

[0046] Alignment monitoring module: monitors the alignment between the motor and the transmission system through laser or other alignment tools to ensure that the axis is correctly aligned to prevent imbalance and vibration problems. The alignment status is sent to the parameter acquisition module;

[0047] Bearing monitoring module: Use vibration sensors or other detection equipment to monitor the vibration level of the bearing, and the bearing vibration level is sent to the parameter acquisition module;

[0048] Circuit monitoring module: monitors the voltage, current and power factor of the motor through the electric energy meter to ensure that it meets the design requirements. The voltage, current and power factor are sent to the parameter acquisition module;

[0049] Impedance monitoring module: Use an insulation tester to detect the insulation impedance of the motor to ensure that the insulation performance of the electrical system is good. The insulation impedance is sent to the parameter acquisition module;

[0050] Parameter acquisition module: After the motor is installed, the mechanical parameters and electrical parameters generated during the motor installation process are acquired through the data interface. The mechanical parameters include the alignment status and bearing vibration, and the electrical parameters include voltage, current, power factor and insulation impedance. The mechanical parameters and electrical parameters are sent to the analysis module and the warning module.

[0051] Analysis module: After preprocessing the mechanical parameters and electrical parameters, the analysis model is installed to analyze the mechanical parameters and electrical parameters to generate quantitative indexes for the motor, and the quantitative indexes are sent to the evaluation module;

[0052] Evaluation module: After evaluating the quantitative index of the motor, analyze whether the motor has installation risks, and divide the installation effects of the motor according to the evaluation results and upload them to the database. The evaluation results are sent to the warning module, and the installation effect division results are sent to the database for storage;

[0053] Warning module: When there are abnormalities in mechanical parameters, electrical parameters, or when the motor is assessed to have installation risks, an alarm will be issued to the administrator;

[0054] Management module: Regularly obtain and analyze the historical motor installation effect classification results through the database to determine whether the motor automation installation equipment needs to be maintained in advance.

[0055] After the motor is installed, the parameter acquisition module obtains the mechanical parameters and electrical parameters generated during the installation of the motor through the data interface. After the analysis module pre-processes the mechanical parameters and electrical parameters, it analyzes the mechanical parameters and electrical parameters through the installation analysis model to generate a quantitative index for the motor. The evaluation module evaluates the quantitative index of the motor and analyzes whether the motor has installation risks. The motor is divided into installation effects according to the evaluation results and uploaded to the database. The evaluation results are sent to the warning module, and the installation effect division results are sent to the database for storage. When there are abnormalities in the mechanical parameters, abnormalities in the electrical parameters, or when the motor is evaluated to have installation risks, the warning module sends an alarm to the administrator. After the motor is installed, the monitoring system can comprehensively analyze the mechanical parameters and electrical parameters of the motor during the installation process to determine whether the motor has installation risks, thereby effectively ensuring the stable use of the motor.

[0056] This application uses an evaluation module to evaluate the quantitative index of the motor and then analyze whether the motor has installation risks, and divides the installation effects of the motor according to the evaluation results and uploads them to the database. The evaluation results are sent to the warning module, and the installation effect division results are sent to the database for storage. The management module regularly obtains the historical motor installation effect division results through the database and analyzes them, and then determines whether the motor automation installation equipment needs to be maintained in advance, thereby determining whether the motor automation installation equipment needs to be maintained through the motor installation process, thereby improving the management effect.

[0057] The specific implementation process is:

[0058] During the mechanical installation stage of the motor, the alignment between the motor and the transmission system is monitored by laser or other alignment tools to ensure that the axis is correctly aligned to prevent imbalance and vibration problems. Vibration sensors or other detection equipment are used to monitor the vibration level of the bearings. When there is an abnormality in the mechanical parameter stage, an alarm is issued. During the electrical installation stage of the motor, the electrical parameters of the motor are monitored. The electrical parameters include voltage, current, power factor, insulation impedance, etc. The voltage, current, and power factor are monitored by an electric energy meter to ensure that they meet the design requirements. The insulation impedance of the motor is detected by an insulation tester to ensure that the insulation performance of the electrical system is good. When there is an abnormality in the electrical parameters, an alarm is issued. After the motor is installed, the mechanical parameters and electrical parameters generated during the installation of the motor are obtained through the data interface. After preprocessing the mechanical parameters and electrical parameters, the mechanical parameters and electrical parameters are analyzed by the installation analysis model to generate a quantitative index for the motor. After evaluating the quantitative index of the motor, it is analyzed whether the motor has an installation risk. The motor is divided into installation effects based on the evaluation results and uploaded to the database. The historical motor installation effect division results are obtained from the database regularly and analyzed to determine whether the motor automation installation equipment needs to be maintained in advance.

[0059] Alignment monitoring module: monitors the alignment between the motor and the transmission system through laser or other alignment tools to ensure that the axis is correctly aligned to prevent imbalance and vibration problems. The alignment status is sent to the parameter acquisition module;

[0060] Preparation: Before carrying out an alignment monitoring, ensure the work area is safe and that appropriate safety measures have been taken. Ensure that the calibration of the laser or other alignment tool used is accurate.

[0061] Measure the baseline of the transmission system and the motor: Based on the installation position of the motor and the transmission system, use a measuring tool (such as a measuring instrument or a level) to measure the baseline to ensure that the installation surface of the transmission system and the motor is on a horizontal plane.

[0062] Install the alignment tool: Use a laser alignment gauge or other alignment tool and install it on the output shaft of the motor or related rotating parts. Make sure the position of the alignment tool is firm and accurate.

[0063] Set the target position: Use the alignment tool to set the target position, usually the corresponding axis or target point of the drive system. This is the target of the alignment, ensuring that the motor axis is aligned with the drive system axis.

[0064] Adjust the motor position: According to the instructions of the alignment tool, adjust the position of the motor so that its axis is aligned with the target position. This may involve adjusting the position of the motor base or bracket.

[0065] Calibrate the alignment tool: If you are using a laser alignment tool, ensure that the alignment tool is always in alignment when making adjustments. Perform the necessary calibration to ensure accurate measurements.

[0066] Check and confirm alignment: After adjustment is complete, carefully check the alignment of the motor and drive system. Make sure the indicator line of the laser or other alignment tool is consistent with the set target position.

[0067] Tighten the bolts: Once alignment is confirmed, tighten the bolts on the motor base. Make sure all bolts are firmly and securely connected.

[0068] Bearing monitoring module: Use vibration sensors or other detection equipment to monitor the vibration level of the bearing, and the bearing vibration level is sent to the parameter acquisition module;

[0069] Select vibration sensor or detection equipment: According to the specific monitoring requirements, select the appropriate type of vibration sensor or other detection equipment. Commonly used ones include accelerometers and speedometers.

[0070] Install the vibration sensor: Install the vibration sensor on the motor bearing, usually near the outer or inner ring of the bearing. Make sure the sensor is firmly positioned and has good contact with the bearing.

[0071] Connect the sensor to a monitoring system: Connect the vibration sensor to a professional monitoring system that can collect, record and analyze vibration data. This may involve using cables to connect the sensor to a data acquisition unit or monitoring equipment.

[0072] Set monitoring parameters: Set the vibration monitoring parameters in the monitoring system, including sampling frequency, monitoring time, etc. These parameters will affect the sensitivity of the monitoring system and the accuracy of data collection.

[0073] Baseline vibration level measurement: Under normal operating conditions, baseline vibration level measurements are performed to establish a baseline for vibration levels under normal operating conditions. This helps identify abnormal changes in vibration levels in the future.

[0074] Real-time monitoring: During the operation of the motor, the vibration data is monitored in real time. The monitoring system should be able to reflect the vibration status of the bearing in real time.

[0075] Set alarm thresholds: Based on baseline data and the design specifications of the bearing, set alarm thresholds. When vibration levels exceed these thresholds, the system should trigger an alarm indicating a possible bearing problem.

[0076] Conduct regular inspections: Regularly inspect vibration data, especially during maintenance and servicing. This can help detect potential bearing problems early and reduce downtime.

[0077] Analyze vibration data: Use the monitoring system’s analysis tools to perform detailed analysis of the vibration data. This may include spectrum analysis, time domain analysis, etc. to determine the source and characteristics of the vibration.

[0078] Circuit monitoring module: monitors the voltage, current and power factor of the motor through the electric energy meter to ensure that it meets the design requirements. The voltage, current and power factor are sent to the parameter acquisition module;

[0079] Choose a suitable energy meter: According to the power of the motor and the characteristics of the electrical system, choose an energy meter of appropriate type and specification. Usually, the energy meter should include the measurement functions of voltage, current and power factor.

[0080] Install the energy meter: Install the selected energy meter in the circuit where the motor is located. Make sure the connections are correct and the installation location complies with standards and specifications.

[0081] Connect the energy meter to the circuit: Connect the energy meter to the circuit that the motor is in. This may require interrupting the circuit, ensure that appropriate safety measures are taken during installation and connection.

[0082] Set the energy meter parameters: Set the correct parameters on the energy meter, including the measurement range of current, voltage and power factor. This ensures that the energy meter can accurately measure and record the operating parameters of the motor.

[0083] Energy meter calibration: Calibrate energy meters to ensure accuracy. Regular calibration can avoid measurement errors due to equipment aging or drift.

[0084] Monitoring the motor operating status: When the motor is running, the voltage, current and power factor of the motor are monitored in real time through the energy meter. This helps to evaluate the electrical performance of the motor and the system efficiency.

[0085] Record operating parameters: Regularly record the operating parameters of the motor, including voltage, current and power factor. These records are very important for tracking changes in system performance and performing preventive maintenance.

[0086] Set the target value of power factor: According to the design requirements and energy efficiency standards, set the target value of power factor. Power factor is an important indicator of motor operating efficiency.

[0087] Real-time monitoring of power factor: Monitor the power factor in real time and compare the actual value with the set target value. If the power factor deviates from the target value, measures may need to be taken to adjust it.

[0088] Impedance monitoring module: Use an insulation tester to detect the insulation impedance of the motor to ensure that the insulation performance of the electrical system is good. The insulation impedance is sent to the parameter acquisition module;

[0089] Select an insulation tester: According to the characteristics of the motor and electrical system, select an insulation tester of appropriate type and specification. Commonly used insulation testers include insulation resistance testers and insulation current testers.

[0090] Preparation: Before performing impedance monitoring, ensure that the motor and electrical system are stopped and appropriate safety measures are taken.

[0091] Connect the tester to the circuit: Connect the selected insulation tester to the insulated part of the motor, usually the winding or the insulation material. Make sure the connection is correct and the installation location complies with standards and regulations.

[0092] Set test parameters: Set the correct test parameters on the insulation tester, including test voltage and test time. These parameters depend on the specific test requirements and the characteristics of the insulation system.

[0093] Conduct insulation test: Start the insulation tester to conduct insulation test. The tester will apply a certain voltage and measure the corresponding insulation resistance or insulation current.

[0094] Record test results: Record the test results, including insulation resistance value, test time, test voltage, etc. These records will serve as a benchmark for subsequent comparison and analysis.

[0095] Compare results to standards: Compare test results to insulation resistance standards or industry specifications provided by the equipment manufacturer. Determine if requirements are met or if there are potential insulation issues.

[0096] Parameter acquisition module: After the motor is installed, the mechanical parameters and electrical parameters generated during the motor installation process are acquired through the data interface. The mechanical parameters include alignment status and bearing vibration, and the electrical parameters include voltage, current, power factor and insulation resistance. The mechanical parameters and electrical parameters are sent to the analysis module and the warning module.

[0097] Analysis module: After preprocessing the mechanical parameters and electrical parameters, the analysis model is installed to analyze the mechanical parameters and electrical parameters to generate quantitative indexes for the motor, and the quantitative indexes are sent to the evaluation module;

[0098] Preprocess the mechanical parameters and electrical parameters to obtain mechanical parameters including centering offset and bearing vibration standard deviation, and electrical parameters including power factor and insulation resistance;

[0099] Substitute the centering offset, bearing vibration standard deviation, power factor and insulation impedance into the installation analysis model to obtain the quantitative index. The function expression is:

[0100] In the formula, lh z is the quantitative index, zls is the centering offset, pdg is the bearing vibration standard deviation, jyz is the power factor, gly is the insulation resistance, (zls+pdg) is the mechanical parameter, (jyz+gly) is the electrical parameter, β and α are the proportional coefficients of mechanical parameters and electrical parameters respectively, and β and α are both greater than 0. The larger the quantitative index is, the more likely the motor is to have installation risks, resulting in a shortened later use cycle.

[0101] The logic of obtaining the centering offset is: use a laser aligner or other alignment tools and install it on the motor output shaft or related rotating parts. Use the measuring tool to set the target position and monitor the actual position to calculate the offset. The centering offset can be obtained by measuring the offset in different directions and calculating it comprehensively. The larger the centering offset, the worse the motor's centering condition is, and the more likely it is to fail during use.

[0102] The logic for obtaining the standard deviation of bearing vibration is as follows: install a vibration sensor or vibration monitoring device at the bearing position of the motor to monitor the vibration data in real time. Calculate the standard deviation of vibration by collecting vibration signals. The standard deviation indicates the degree of dispersion of vibration data. A higher standard deviation usually means greater bearing vibration. The larger the standard deviation of bearing vibration, the worse the stability of the bearing during motor operation.

[0103] The logic of obtaining the power factor is: use an energy meter or power factor meter to monitor the voltage and current of the motor. The power factor can be obtained by calculating the ratio of the actual power to the apparent power in the power factor meter. The power factor is usually between 0 and 1, and the closer it is to 1, the better the power factor.

[0104] The calculation expression of insulation resistance is: Where U is the test voltage, I is the test current, f is the test frequency, and C is the capacitance. A larger insulation resistance means that the insulation system has better resistance to current and it is more difficult for current to flow through the insulating material. This is usually a reflection of good insulation performance, so a larger insulation resistance is ideal.

[0105] Evaluation module: After evaluating the quantitative index of the motor, analyze whether the motor has installation risks, and divide the installation effects of the motor according to the evaluation results and upload them to the database. The evaluation results are sent to the warning module, and the installation effect division results are sent to the database for storage;

[0106] After obtaining the quantitative index of the motor, the quantitative index of the motor is compared with a preset gradient threshold, the gradient threshold includes a first risk threshold and a second risk threshold, the first risk threshold is used to determine whether there is an installation risk in the installation of the motor, and the second risk threshold is used to determine the severity of the installation risk of the motor;

[0107] If the quantitative index is less than or equal to the first risk threshold, it is determined that there is no installation risk in the installation of the motor;

[0108] If the quantitative index is greater than the first risk threshold, it is determined that there is an installation risk in the installation of the motor;

[0109] If the quantitative index is greater than the first risk threshold, and the quantitative index is less than or equal to the second risk threshold, it is determined that the motor installation risk is slight;

[0110] If the quantitative index is greater than the second risk threshold, it is determined that the motor installation risk is serious.

[0111] When it is judged that there is no installation risk in the motor installation, this installation is classified into the excellent set. When it is judged that the motor installation risk is slight, this installation is classified into the medium set. When it is judged that the motor installation risk is serious, this installation is classified into the poor set.

[0112] Warning module: When there are abnormalities in mechanical parameters, electrical parameters, or when the motor is assessed to have installation risks, an alarm will be issued to the administrator;

[0113] Integrated sensors and monitoring systems: Integrate various sensors and monitoring systems to monitor mechanical and electrical parameters. Ensure that these systems can acquire data in real time and compare it with the set thresholds.

[0114] Set alarm trigger logic: Develop alarm trigger logic to ensure that the alarm is triggered when the set abnormal conditions are met. For example, an alarm is triggered when the vibration level exceeds the threshold or the current is abnormal.

[0115] Establish a communication channel: Establish a reliable communication channel to pass the alarm information to the administrator. This can be achieved through the Internet, LAN or other communication means.

[0116] Testing and verification: Before actual operation, the alarm module is tested and verified. Ensure that the alarm system can accurately respond to various abnormal conditions and conduct reliability tests in different scenarios.

[0117] Develop a contingency plan: Develop a contingency plan that includes specific actions that administrators need to take when an alarm is triggered. Make sure administrators understand and are familiar with the contingency plan.

[0118] Regular maintenance and updates: Regularly maintain and update the alert module to ensure its continued effectiveness. This may include updating algorithms, calibrating sensors, checking communication channels, etc.

[0119] Record and analyze alarm history: Record detailed information of each alarm, including trigger time, abnormal parameters, handling process, etc. Perform regular historical analysis to improve system performance and reduce false alarms.

[0120] Management module: Regularly obtain the historical motor installation effect classification results from the database and analyze them to determine whether the motor automation installation equipment needs to be maintained in advance;

[0121] Obtain the number of all motor installations in the history of motor automation installation equipment through the database, and obtain the number in the best set, the medium set, and the poor set;

[0122] The maintenance value is obtained by weighting the number of the excellent set, the medium set, and the poor set. The function expression is:

[0123] Where wf z To maintain the value, sl c is the number of motor installations in the difference set, sl z is the number of motor installations in the medium set, sl y is the number of motor installations in the optimal set;

[0124] After obtaining the maintenance value, compare the maintenance value with the maintenance threshold. If the maintenance value is less than or equal to the maintenance threshold, it indicates that the historical operating status of the motor automation installation equipment is good, and it is judged that there is no need to perform maintenance on the motor automation installation equipment in advance. If the maintenance value is greater than the maintenance threshold, it indicates that the historical operating status of the motor automation installation equipment is poor, and it is judged that there is a need to perform maintenance on the motor automation installation equipment in advance.

[0125] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0126] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0127] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent monitoring system for electromechanical installation, characterized in that: It includes alignment monitoring module, bearing monitoring module, circuit monitoring module, impedance monitoring module, parameter acquisition module, analysis module, evaluation module, warning module and management module; Alignment monitoring module: monitors the alignment between the motor and the transmission system through the alignment tool; Bearing monitoring module: uses vibration sensors to monitor the vibration level of the bearing; Circuit monitoring module: monitors the voltage, current and power factor of the motor through the electric energy meter; Impedance monitoring module: Use insulation tester to detect the insulation impedance of the motor; Parameter acquisition module: After the motor is installed, the mechanical parameters and electrical parameters generated during the motor installation process are acquired through the data interface. The mechanical parameters include alignment status and bearing vibration, and the electrical parameters include voltage, current, power factor and insulation resistance. Analysis module: After preprocessing the mechanical parameters and electrical parameters, the analysis model is installed to analyze the mechanical parameters and electrical parameters to generate quantitative indexes for the motor; Evaluation module: After evaluating the quantitative index of the motor, analyze whether the motor has installation risks, and divide the installation effects of the motor according to the evaluation results and upload them to the database; Warning module: When there are abnormalities in mechanical parameters, electrical parameters, or when the motor is assessed to have installation risks, an alarm will be issued to the administrator; Management module: Regularly obtain and analyze the historical motor installation effect classification results through the database to determine whether the motor automation installation equipment needs to be maintained in advance.

2. The intelligent monitoring system for electromechanical installation according to claim 1, characterized in that: The analysis module pre-processes the mechanical parameters and electrical parameters to obtain mechanical parameters including centering offset and bearing vibration standard deviation and electrical parameters including power factor and insulation impedance; Substitute the centering offset, bearing vibration standard deviation, power factor and insulation impedance into the installation analysis model to obtain the quantitative index. The function expression is: In the formula, lh z is the quantitative index, zls is the centering offset, pdg is the bearing vibration standard deviation, jyz is the power factor, gly is the insulation resistance, (zls+pdg) is the mechanical parameter, (jyz+gly) is the electrical parameter, β and α are the proportional coefficients of mechanical parameters and electrical parameters respectively, and β and α are both greater than 0. The larger the quantitative index is, the more likely the motor is to have installation risks, resulting in a shortened later use cycle.

3. The intelligent monitoring system for electromechanical installation according to claim 2 is characterized in that: After the evaluation module obtains the quantitative index of the motor, the quantitative index of the motor is compared with a preset gradient threshold, where the gradient threshold includes a first risk threshold and a second risk threshold, the first risk threshold is used to determine whether there is an installation risk in the installation of the motor, and the second risk threshold is used to determine the severity of the installation risk of the motor; If the quantitative index is less than or equal to the first risk threshold, it is determined that there is no installation risk in the installation of the motor; If the quantitative index is greater than the first risk threshold, it is determined that there is an installation risk in the installation of the motor; If the quantitative index is greater than the first risk threshold, and the quantitative index is less than or equal to the second risk threshold, it is determined that the motor installation risk is slight; If the quantitative index is greater than the second risk threshold, it is determined that the motor installation risk is serious.

4. The intelligent monitoring system for electromechanical installation according to claim 3 is characterized in that: When it is judged that there is no installation risk in the motor installation, the evaluation module classifies this installation into the excellent set. When it is judged that the motor installation risk is slight, the evaluation module classifies this installation into the medium set. When it is judged that the motor installation risk is serious, the evaluation module classifies this installation into the poor set.

5. The intelligent monitoring system for electromechanical installation according to claim 4, characterized in that: The management module obtains the number of all motors installed in the history of the motor automation installation equipment through the database, and obtains the number in the excellent set, the medium set and the poor set; The maintenance value is obtained by weighting the number of the excellent set, the medium set, and the poor set. The function expression is: Where wf z To maintain the value, sl c is the number of motor installations in the difference set, sl z is the number of motor installations in the medium set, sl y is the number of motor installations in the optimal set; After obtaining the maintenance value, compare the maintenance value with the maintenance threshold. If the maintenance value is less than or equal to the maintenance threshold, it indicates that the historical operating status of the motor automation installation equipment is good, and it is judged that there is no need to perform maintenance on the motor automation installation equipment in advance. If the maintenance value is greater than the maintenance threshold, it indicates that the historical operating status of the motor automation installation equipment is poor, and it is judged that there is a need to perform maintenance on the motor automation installation equipment in advance.

6. The intelligent monitoring system for electromechanical installation according to claim 5, characterized in that: The bearing monitoring module sets the vibration monitoring parameters, including sampling frequency and monitoring time, and measures the baseline vibration level under normal operating conditions to monitor vibration data in real time; The centering monitoring module uses a level to measure the reference line so that the installation surfaces of the transmission system and the motor are on a horizontal plane, and uses an alignment tool to set the target position, which includes the corresponding axis or target point of the transmission system. According to the instructions of the alignment tool, the position of the motor is adjusted so that the motor axis is aligned with the target position.

7. The intelligent monitoring system for electromechanical installation according to claim 6, characterized in that: The circuit monitoring module calibrates the electric energy meter regularly, monitors the voltage, current and power factor of the motor in real time through the electric energy meter when the motor is running, sets the target value of the power factor according to the design requirements and energy efficiency standards, monitors the power factor in real time, and compares the actual value with the set target value; The impedance monitoring module starts the insulation tester to perform an insulation test. The tester applies voltage and measures the corresponding insulation impedance or insulation current, and records the test results, including the insulation impedance value, test time, and test voltage. The test results are compared with the insulation impedance standard to determine whether they meet the requirements or whether there are potential insulation problems.

8. An intelligent monitoring method for electromechanical installation, implemented by the monitoring system according to any one of claims 1 to 7, characterized in that: The monitoring method comprises the following steps: During the mechanical installation phase of the motor, the alignment between the motor and the transmission system is monitored by an alignment tool, and the vibration level of the bearing is monitored by a vibration sensor, which will issue an alarm when there is an abnormality in the mechanical parameter stage; During the electrical installation phase of the motor, monitor the electrical parameters of the motor, including voltage, current, power factor, and insulation resistance. Use an electric energy meter to monitor the voltage, current, and power factor, and use an insulation tester to detect the insulation resistance of the motor. When there is an abnormality in the electrical parameters, an alarm will be issued; After the motor is installed, the mechanical parameters and electrical parameters generated during the motor installation process are obtained through the data interface; After preprocessing the mechanical parameters and electrical parameters, the mechanical parameters and electrical parameters are analyzed by installing an analytical model to generate quantitative indices for the motor; After evaluating the quantitative index of the motor, analyze whether the motor has installation risks, and divide the installation effects of the motor according to the evaluation results and upload them to the database; Regularly obtain and analyze the historical motor installation effect classification results through the database to determine whether the motor automation installation equipment needs to be maintained in advance.

Images