CN118519405A - Intelligent management system for automatic electromechanical equipment - Google Patents
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Abstract
The invention discloses an intelligent management system for automatic electromechanical equipment, which relates to the technical field of electromechanical equipment management, solves the technical problems that faults occurring in the operation process of the electromechanical equipment cannot be well managed and the fault electromechanical equipment cannot be timely regulated, judges the whole working state of the electromechanical equipment by analyzing the equipment temperature of the electromechanical equipment, classifies the electromechanical equipment, performs early warning analysis on normal equipment by combining historical data, through analyzing the working power of abnormal equipment, combine corresponding equipment temperature to adjust, adjust through the normal equipment to the region in the time of adjusting, on the one hand can be timely supplement the power that lacks in the region, on the other hand can be timely overhaul abnormal equipment, adjust in reasonable within range according to parameter calculation simultaneously, can avoid reducing holistic work efficiency when guaranteeing normal equipment normal work.
Description
Technical Field
The invention relates to the technical field of electromechanical equipment management, in particular to an intelligent management system for automatic electromechanical equipment.
Background
The automatic electromechanical equipment is equipment for realizing automatic operation and management of the equipment by integrating advanced automatic control technology, computer technology, mechanical electronic technology and the like in the industrial production and control process. The equipment can improve production efficiency, reduce labor cost, and improve product quality and production safety.
According to the method for comprehensively managing the operation of the electromechanical equipment, which is disclosed in the China patent application No. CN201510167475.4, a standard reference data set of each operation parameter of the electromechanical equipment is stored in the standard database; each index data in the running process of the equipment is collected and stored by each monitoring instrument of the electromechanical equipment; and then extracting index data in a preset interval to form a data set, comparing the data in the data set with standard reference data one by one, and calculating the score of the index in the interval according to a preset rule so as to judge the quality of the index.
The above patent scores the electromechanical device by collecting its parameters and manages the electromechanical device according to the score, but does not manage and adjust the electromechanical device when the operation is problematic, and the electromechanical device to be problematic cannot be adjusted timely, and further the failed electromechanical device will affect the overall working efficiency.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an intelligent management system for automatic electromechanical equipment, which solves the problems that faults occurring in the operation process of the electromechanical equipment cannot be well managed and the faulty electromechanical equipment cannot be timely regulated.
In order to achieve the above purpose, the invention is realized by the following technical scheme: an intelligent management system for an automated electro-mechanical device, comprising:
The device parameter acquisition unit is used for transmitting the acquired power, voltage, current and device temperature of the automatic electromechanical device to the device state analysis unit;
The equipment state analysis unit is used for judging the working state of the automatic electromechanical equipment according to the equipment temperature, classifying the normal equipment and the abnormal equipment of the automatic electromechanical equipment, transmitting the normal equipment to the normal state monitoring unit and transmitting the abnormal equipment to the equipment abnormality management unit;
the history data storage unit is used for transmitting the stored history data to the normal state monitoring unit and the equipment abnormality management unit;
The normal state monitoring unit is used for analyzing according to the voltage and current change conditions of the normal equipment, simultaneously analyzing the normal equipment by combining the historical data, generating an early warning signal and a normal monitoring signal, and simultaneously transmitting the early warning signal and the normal monitoring signal to the management result output unit;
The equipment abnormality management unit is used for adjusting according to the current power of the abnormal equipment and the normal equipment, simultaneously adjusting the power of the normal equipment by combining the total current power of the corresponding area of the abnormal equipment and generating adjustment information, adjusting the normal equipment according to the adjustment information to obtain adjustment equipment, and simultaneously transmitting the monitoring equipment to the secondary monitoring management unit;
The secondary monitoring management unit is used for monitoring the acquired regulating equipment, comparing the current power corresponding to the temperature of the regulating equipment with the actual power to generate a temperature monitoring signal and a power abnormality signal, analyzing the current power of the regulating equipment according to the early warning temperature aiming at the temperature monitoring signal to generate a temperature early warning signal, adjusting the equipment temperature in the historical data aiming at the power abnormality signal and generating a temperature early warning signal and management information, and transmitting the temperature early warning signal and the management information to the management result output unit.
And the management result output unit is used for displaying the acquired temperature early warning signals and management information to operators.
As a further aspect of the invention: the specific mode of the equipment state analysis unit for classifying the automatic electromechanical equipment is as follows:
and acquiring the equipment temperatures of all the automatic electromechanical equipment, analyzing the change of the equipment temperatures in the time period t, classifying the corresponding automatic electromechanical equipment as abnormal equipment when the equipment temperatures in the time period t are abrupt changes, and otherwise classifying the corresponding automatic electromechanical equipment as normal equipment when the equipment temperatures in the time period t are normal changes.
As a further aspect of the invention: the specific way of the normal state monitoring unit for analyzing the normal equipment is as follows:
Acquiring the change condition of normal equipment voltage and current in a time period t, acquiring working parameters corresponding to unstable changes, simultaneously recording the working parameters as target parameters, and analyzing the target parameters corresponding to the same condition in historical data;
judging whether the target parameters corresponding to the same conditions have early warning conditions or not, generating early warning signals when the same conditions corresponding to the target parameters in the historical data need early warning, and otherwise, generating normal monitoring signals when the same conditions corresponding to the target parameters in the historical data do not need early warning.
As a further aspect of the invention: the specific mode of the equipment abnormality management unit for analyzing the abnormal equipment is as follows:
Acquiring and marking a region corresponding to the abnormal equipment as a region to be analyzed, classifying the automatic electromechanical equipment of the region to be analyzed to obtain abnormal equipment a and normal equipment b, acquiring the total current power Gz corresponding to the region to be analyzed, and acquiring the current power corresponding to the abnormal equipment a as Ga;
Then calculating average regulated power of the normal device b according to the current power Ga of the abnormal device, recording as Ga/b, judging the current power Gb of the normal device b at the same time, classifying the normal device b into a device b1 capable of being regulated and a device b2 incapable of being regulated according to whether power regulation is carried out, and not processing the device b2 classified as the device b2 incapable of being regulated.
As a further aspect of the invention: the specific mode for analyzing the adjustable equipment is as follows:
Acquiring all the adjustable devices b1, calculating the adjusting power of the adjustable devices b1 according to the current power of the abnormal device a, recording as G1, judging the adjustable devices b1 according to the adjusting power G1, if the adjusting range corresponding to the adjustable devices b1 meets the adjusting power G1, normally adjusting the adjustable devices b1, otherwise, if the adjusting range corresponding to the adjustable devices b1 does not meet the adjusting power G1, adjusting the adjusting range corresponding to the adjustable devices b1, and generating adjusting information.
As a further aspect of the invention: the specific mode of the secondary monitoring management unit for monitoring and managing the regulating equipment is as follows:
And recording all the regulated devices as monitoring devices, acquiring the device temperature corresponding to the current power of the monitoring devices, acquiring the actual power corresponding to the monitoring devices at different device temperatures, comparing the actual power with the current power, judging whether the actual power and the current power are identical, generating a device temperature monitoring signal if the actual power and the current power are identical, and otherwise, generating a power abnormality signal if the actual power and the current power are not identical.
As a further aspect of the invention: the specific mode of the secondary monitoring management unit for analyzing the generated equipment temperature monitoring signal is as follows:
Acquiring the pre-warning temperature corresponding to the monitoring equipment, simultaneously carrying out change monitoring on the current power corresponding to the pre-warning temperature, generating a temperature pre-warning signal if the current power is changed at the pre-warning temperature, continuously monitoring the current power if the current power is not changed at the pre-warning temperature, acquiring the temperature corresponding to the current power when the current power is changed, recording the temperature as the pre-warning temperature, generating a temperature pre-warning signal, and then transmitting the temperature pre-warning signal to a management result output unit.
As a further aspect of the invention: the specific way of the secondary monitoring management unit for analyzing the generated power abnormal signal is as follows:
And acquiring the historical power which is the same as the temperature of the current equipment in the historical data, calculating the magnitude of the historical power and the current power, adjusting the monitoring equipment by taking the historical power as a standard if the current power is larger than the historical power, generating management information, and generating a temperature early warning signal if the current power is smaller than the historical power.
Advantageous effects
The invention provides an intelligent management system for automatic electromechanical equipment. Compared with the prior art, the method has the following beneficial effects:
The invention judges the whole working state of the electromechanical equipment by analyzing the equipment temperature of the electromechanical equipment, classifies the electromechanical equipment, detects the voltage and the current of the classified normal equipment, performs early warning analysis on the normal equipment by combining historical data, analyzes the working power of the classified abnormal equipment, and adjusts the equipment temperature corresponding to the abnormal equipment, and adjusts the normal equipment in an area when adjusting, so that the power missing in the area can be timely supplemented, the abnormal equipment can be timely overhauled, and the abnormal equipment can be adjusted in a reasonable range according to parameter calculation, thereby ensuring the normal work of the normal equipment and avoiding the reduction of the whole working efficiency.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present application provides an intelligent management system for an automated electro-mechanical device, comprising: the system comprises an equipment parameter acquisition unit, an equipment state analysis unit, a normal state monitoring unit, an equipment abnormality management unit, a secondary monitoring management unit, a historical data storage unit and a management result output unit.
Embodiment one: the equipment parameter acquisition unit is used for acquiring the working parameters of the automatic electromechanical equipment and transmitting the acquired working parameters to the equipment state analysis unit, wherein the acquired working parameters comprise: power, voltage and current parameters.
The equipment state analysis unit is used for analyzing and judging the working state of the automatic electromechanical equipment according to the acquired working parameters, classifying the normal equipment and the abnormal equipment of the automatic electromechanical equipment, and the specific analysis and judgment modes are as follows:
Acquiring all the automatic electromechanical devices, acquiring the corresponding device temperature at the same time, acquiring the device temperature through a temperature sensor arranged on the automatic electromechanical devices, analyzing the change condition of the device temperature in a time period t, classifying the corresponding automatic electromechanical devices as abnormal devices when the device temperature in the time period t is abrupt change, classifying the corresponding automatic electromechanical devices as normal devices when the device temperature in the time period t is normal change, and so on to classify all the automatic electromechanical devices, then transmitting the normal devices to a normal state monitoring unit, and transmitting the abnormal devices to a device abnormality management unit.
Specifically, the temperature information of each device can be continuously obtained through the sensors, an accurate data basis is provided for subsequent analysis, and the change trend of the device temperature can be observed through deep analysis of the temperature data in the time period t. If the temperature of the equipment is suddenly changed within a certain time period t, namely the temperature change amplitude exceeds a preset normal range, the early warning mechanism of the system is triggered. Such abrupt changes may mean that the cooling system of the device is problematic or that the device is overheated, requiring immediate inspection and handling.
Based on the temperature change condition, the system can automatically divide the equipment into two categories of abnormal equipment and normal equipment. A device is classified as a "normal device" if its temperature change during a time period t falls within a normal range. Conversely, if a sudden change in device temperature occurs, the device is marked as an "abnormal device".
In the application, the electromechanical device mainly detects the temperature of the motor corresponding to the automatic electromechanical device, and the normal temperature range of the motor in the electromechanical device is generally influenced by various factors, including the type and insulation grade of the motor, for example, a grade A insulated motor, which allows the highest temperature to be 105 ℃, and a grade F insulated motor, which can reach 155 ℃. The higher the insulation level, the higher the temperature that the motor can withstand, for example, for a class a insulated motor, the temperature should be kept around 60-70 ℃ during normal operation, while for a class F insulated motor, the motor can be operated at 80-90 ℃, so the pre-warning temperature set during detecting the temperature of the motor equipment should be 70 ℃, and in the present application, the temperature of the class a insulated motor is monitored.
The normal state monitoring unit is used for monitoring and analyzing the obtained normal equipment, and specifically judging by judging the change condition of the voltage and the current, and the specific judging mode is as follows:
Acquiring the change condition of voltage and current in a time period t, acquiring working parameters corresponding to unstable change, simultaneously recording the working parameters as target parameters, acquiring historical data transmitted by a historical data storage unit, analyzing the target parameters corresponding to the same condition in the historical data, judging whether corresponding early warning analysis is needed, generating early warning signals when the same condition corresponding to the target parameters in the historical data needs early warning, otherwise, generating normal monitoring signals when the same condition corresponding to the target parameters in the historical data does not need early warning, and transmitting the generated early warning signals and the generated normal monitoring signals to a management result output unit.
The system monitors voltage and current data of the equipment in a time period t in real time through a sensor, when the system detects unstable changes of the voltage or the current, the system immediately marks and records working parameters of the unstable changes as target parameters, and the system extracts historical data matched with the current target parameters from a historical data storage unit. By analyzing the same or similar target parameters in the historical data, it can be determined whether the current target parameters are sufficient to trigger the pre-warning.
And the management result output unit is used for displaying the acquired early warning signal and the acquired normal monitoring signal to an operator.
Embodiment two: as the second embodiment of the present invention, the present invention is implemented on the basis of the first embodiment, and differs from the first embodiment in that.
The equipment abnormality management unit is used for acquiring the transmitted abnormal equipment and analyzing the abnormal equipment, and the specific analysis mode is as follows:
Acquiring and marking a region corresponding to the abnormal equipment as a region to be analyzed, acquiring all automatic electromechanical equipment in the region to be analyzed, classifying to obtain abnormal equipment a and normal equipment b, wherein a and b are positive integers, acquiring the total current power Gz corresponding to the region to be analyzed, and acquiring the current power corresponding to the abnormal equipment a as Ga;
Calculating average regulation power of the normal equipment b according to the current power Ga of the abnormal equipment, recording as Ga/b, judging the current power Gb of the normal equipment b, classifying the normal equipment b into an adjustable equipment b1 and an non-adjustable equipment b2 according to the possibility of power regulation, and not processing the equipment b2 classified as the non-adjustable equipment b 2;
Acquiring all the adjustable devices b1, calculating the adjusting power of the adjustable devices b1 according to the current power of the abnormal device a, recording as G1, judging the adjustable devices b1 according to the adjusting power G1, if the adjusting range corresponding to the adjustable devices b1 meets the adjusting power G1, normally adjusting the adjustable devices b1, otherwise, if the adjusting range corresponding to the adjustable devices b1 does not meet the adjusting power G1, adjusting the adjusting range corresponding to the adjustable devices b1, generating adjusting information, and transmitting the adjusting information to a management result output unit.
Specifically, under normal conditions, there is a tiny fluctuation change of power when different motors work, and the generated cause may be that the generated tiny change of voltage and current of the motors causes fluctuation of the power, meanwhile, the generated fluctuation change is analyzed and integrated according to historical use data to obtain a normal fluctuation change interval value, when the fluctuation change is in the interval value, the normal fluctuation is indicated, for example, the power fluctuation interval value is [1,2], the corresponding maximum fluctuation of the power is 2, but when the fluctuation change analysis of the current power is carried out, the fluctuation change value is 2.5, and therefore, the generated fluctuation change value is not in the fluctuation interval, namely, exceeds the normal value, in this case, the abnormal fluctuation is indicated, and conversely, if the fluctuation change value is in the fluctuation interval, the normal power is indicated.
The secondary monitoring management unit is used for acquiring all the regulating devices and monitoring and managing all the regulating devices, and the specific monitoring and management mode is as follows:
Recording all the regulated equipment as monitoring equipment, acquiring equipment temperatures corresponding to the current power of the monitoring equipment, acquiring the actual power corresponding to the monitoring equipment at different equipment temperatures, comparing the actual power with the current power, wherein the current power is represented as rated power regulated by the monitoring equipment, the actual power is represented as real-time current power corresponding to the monitoring equipment, comparing the actual power with the current power, judging whether the actual power is identical to the current power, generating an equipment temperature monitoring signal if the actual power is identical to the current power, and generating a power abnormality signal if the actual power is not identical to the current power;
The system will define the conditioned device as a monitoring device. These devices, after maintenance or adjustment, require special monitoring to confirm that their operating conditions are in line with expectations. For each monitoring device, the system can acquire the device temperature corresponding to the current power in real time, record the actual current power at different device temperatures, and compare the actual power in the system (i.e. the current power of the monitoring device in real time) with the current power (i.e. the rated power of the monitoring device after adjustment).
For example, assume that a motor is rated at 50 kw after maintenance. During normal operation, the system monitors that the real-time current power of the motor at different temperatures is always maintained at about 50 kilowatts and is matched with rated power. Thus, the system will generate a device temperature monitoring signal indicating that the motor is operating well. However, if the real-time current power of the motor is monitored to be below or above 50 kw, such as only 45 kw or up to 55 kw, the system will immediately generate a power anomaly signal indicating potential problems such as overheating or excessive loading of the motor.
And aiming at the generated equipment temperature monitoring signal, acquiring the early warning temperature corresponding to the monitoring equipment, simultaneously carrying out change monitoring on the current power corresponding to the early warning temperature, generating a temperature early warning signal if the current power is changed at the early warning temperature, continuously monitoring the current power if the current power is not changed at the early warning temperature, acquiring the temperature corresponding to the current power when the current power is changed, recording the temperature as the early warning temperature, simultaneously generating the temperature early warning signal, and then transmitting the temperature early warning signal to a management result output unit.
When the system generates a device temperature monitoring signal, the system can immediately acquire the pre-warning temperature corresponding to the monitoring device. The early warning temperature is preset and is used for indicating a potential dangerous temperature threshold value which can be reached by the equipment, the early warning temperature is mainly set according to the type of the motor, a normal working temperature range exists for different types of motors in working, namely a temperature interval consisting of the minimum value and the maximum value of the temperature, therefore, the threshold value is set by taking the maximum value of the working temperature range as a standard, when the different motor temperature thresholds are set, the maximum value of the working temperature range is set by taking the maximum value of the working temperature range as the standard, the system can continuously monitor the current power of the equipment at the early warning temperature, and if the current power of the equipment changes at the early warning temperature, the system can immediately generate a temperature early warning signal. This signal indicates that operation of the device at high temperatures may affect its performance and immediate action is required. Otherwise, if the current power is not changed at the early warning temperature, the system can continuously monitor the current power, and simultaneously record the corresponding temperature when the power is changed, record the temperature as a new early warning temperature and generate a temperature early warning signal.
It is assumed that the warning temperature of one motor is set to 80 ℃ during normal operation. During a certain monitoring, the system found that the temperature of the motor reached 80 ℃, but the power output remained stable. The system will continue to monitor but if the power output fluctuates at any temperature, the system will record that temperature as a new warning temperature and generate a temperature warning signal. For example, if the motor temperature rises to 82 ℃, the power output begins to fluctuate, the system will record 82 ℃ as a new pre-warning temperature and generate a temperature pre-warning signal, which is then transmitted to the management result output unit to take corresponding action.
And aiming at the generated power abnormal signal, acquiring the historical power which is the same as the temperature of the current equipment in the historical data, calculating the magnitude of the historical power and the current power, adjusting the monitoring equipment by taking the historical power as a standard if the current power is larger than the historical power, generating management information, generating a temperature early warning signal if the current power is smaller than the historical power, and transmitting the generated management information and the temperature early warning signal to a management result output unit.
And the management result output unit is used for displaying the acquired management information and the temperature early warning signal to an operator.
Embodiment III: as embodiment three of the present invention, the emphasis is placed on the implementation of the first and second embodiments in combination.
And all that is not described in detail in this specification is well known to those skilled in the art.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (9)
1. An intelligent management system for an automated electro-mechanical device, comprising:
The equipment state analysis unit is used for judging the working state of the automatic electromechanical equipment according to the equipment temperature, classifying the normal equipment and the abnormal equipment of the automatic electromechanical equipment, transmitting the normal equipment to the normal state monitoring unit and transmitting the abnormal equipment to the equipment abnormality management unit;
The normal state monitoring unit is used for analyzing according to the voltage and current change conditions of the normal equipment, simultaneously analyzing the normal equipment by combining the historical data, generating an early warning signal and a normal monitoring signal, and simultaneously transmitting the early warning signal and the normal monitoring signal to the management result output unit;
The equipment abnormality management unit is used for adjusting according to the current power of the abnormal equipment and the normal equipment, simultaneously adjusting the power of the normal equipment by combining the total current power of the corresponding area of the abnormal equipment and generating adjustment information, adjusting the normal equipment according to the adjustment information to obtain adjustment equipment, and simultaneously transmitting the monitoring equipment to the secondary monitoring management unit;
The secondary monitoring management unit is used for monitoring the acquired regulating equipment, comparing the current power corresponding to the temperature of the regulating equipment with the actual power to generate a temperature monitoring signal and a power abnormality signal, analyzing the current power of the regulating equipment according to the early warning temperature aiming at the temperature monitoring signal to generate a temperature early warning signal, adjusting the equipment temperature in the historical data aiming at the power abnormality signal and generating a temperature early warning signal and management information, and transmitting the temperature early warning signal and the management information to the management result output unit.
2. The intelligent management system for an automated electro-mechanical device according to claim 1, further comprising a device parameter acquisition unit, a history data storage unit, and a management result output unit;
The device parameter acquisition unit is used for transmitting the acquired power, voltage, current and device temperature of the automatic electromechanical device to the device state analysis unit;
the history data storage unit is used for transmitting the stored history data to the normal state monitoring unit and the equipment abnormality management unit;
and the management result output unit is used for displaying the acquired temperature early warning signals and management information to operators.
3. The intelligent management system for an automated electro-mechanical device according to claim 1, wherein the specific manner in which the device state analysis unit classifies the automated electro-mechanical device is:
and acquiring the equipment temperatures of all the automatic electromechanical equipment, analyzing the change of the equipment temperatures in the time period t, classifying the corresponding automatic electromechanical equipment as abnormal equipment when the equipment temperatures in the time period t are abrupt changes, and otherwise classifying the corresponding automatic electromechanical equipment as normal equipment when the equipment temperatures in the time period t are normal changes.
4. The intelligent management system for an automated electro-mechanical device according to claim 1, wherein the specific manner in which the normal state monitoring unit analyzes the normal device is:
Acquiring the change condition of normal equipment voltage and current in a time period t, acquiring working parameters corresponding to unstable changes, simultaneously recording the working parameters as target parameters, and analyzing the target parameters corresponding to the same condition in historical data;
judging whether the target parameters corresponding to the same conditions have early warning conditions or not, generating early warning signals when the same conditions corresponding to the target parameters in the historical data need early warning, and otherwise, generating normal monitoring signals when the same conditions corresponding to the target parameters in the historical data do not need early warning.
5. The intelligent management system for an automated electro-mechanical device according to claim 1, wherein the specific manner in which the device abnormality management unit analyzes the abnormal device is:
Acquiring and marking a region corresponding to the abnormal equipment as a region to be analyzed, classifying the automatic electromechanical equipment of the region to be analyzed to obtain abnormal equipment a and normal equipment b, acquiring the total current power Gz corresponding to the region to be analyzed, and acquiring the current power corresponding to the abnormal equipment a as Ga;
Then calculating average regulated power of the normal device b according to the current power Ga of the abnormal device, recording as Ga/b, judging the current power Gb of the normal device b at the same time, classifying the normal device b into a device b1 capable of being regulated and a device b2 incapable of being regulated according to whether power regulation is carried out, and not processing the device b2 classified as the device b2 incapable of being regulated.
6. The intelligent management system for an automated electro-mechanical device according to claim 5, wherein the specific way of analyzing the adjustable device is:
Acquiring all the adjustable devices b1, calculating the adjusting power of the adjustable devices b1 according to the current power of the abnormal device a, recording as G1, judging the adjustable devices b1 according to the adjusting power G1, if the adjusting range corresponding to the adjustable devices b1 meets the adjusting power G1, normally adjusting the adjustable devices b1, otherwise, if the adjusting range corresponding to the adjustable devices b1 does not meet the adjusting power G1, adjusting the adjusting range corresponding to the adjustable devices b1, and generating adjusting information.
7. The intelligent management system for an automated electro-mechanical device according to claim 1, wherein the specific manner in which the secondary monitoring management unit monitors and manages the adjusting device is as follows:
And recording all the regulated devices as monitoring devices, acquiring the device temperature corresponding to the current power of the monitoring devices, acquiring the actual power corresponding to the monitoring devices at different device temperatures, comparing the actual power with the current power, judging whether the actual power and the current power are identical, generating a device temperature monitoring signal if the actual power and the current power are identical, and otherwise, generating a power abnormality signal if the actual power and the current power are not identical.
8. The intelligent management system for an automated electro-mechanical device according to claim 1, wherein the specific manner in which the secondary monitoring management unit analyzes the generated device temperature monitoring signal is:
Acquiring the pre-warning temperature corresponding to the monitoring equipment, simultaneously carrying out change monitoring on the current power corresponding to the pre-warning temperature, generating a temperature pre-warning signal if the current power is changed at the pre-warning temperature, continuously monitoring the current power if the current power is not changed at the pre-warning temperature, acquiring the temperature corresponding to the current power when the current power is changed, recording the temperature as the pre-warning temperature, generating a temperature pre-warning signal, and then transmitting the temperature pre-warning signal to a management result output unit.
9. The intelligent management system for an automated electro-mechanical device according to claim 1, wherein the specific manner in which the secondary monitoring management unit analyzes the generated power anomaly signal is:
And acquiring the historical power which is the same as the temperature of the current equipment in the historical data, calculating the magnitude of the historical power and the current power, adjusting the monitoring equipment by taking the historical power as a standard if the current power is larger than the historical power, generating management information, and generating a temperature early warning signal if the current power is smaller than the historical power.
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| CN118519405B (en) | 2024-10-25 |
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