CN113012402B - Intelligent monitoring system and intelligent monitoring method for frequency converter - Google Patents
Intelligent monitoring system and intelligent monitoring method for frequency converter Download PDFInfo
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- CN113012402B CN113012402B CN202110196103.XA CN202110196103A CN113012402B CN 113012402 B CN113012402 B CN 113012402B CN 202110196103 A CN202110196103 A CN 202110196103A CN 113012402 B CN113012402 B CN 113012402B
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
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Abstract
The application relates to an intelligent monitoring system and an intelligent monitoring method for a frequency converter, which comprise the following steps: acquiring working parameters of each functional unit; acquiring warning parameters of each functional unit; and comparing the working parameters and the warning parameters of the same functional unit, and if the working parameters exceed the warning parameters, sending a warning signal, wherein the warning signal comprises the label corresponding to the functional unit with the working parameters exceeding the warning parameters. The electric energy can have different states in different functional unit in the converter, sets for corresponding warning parameter respectively to every functional unit to gather the actual working parameter of each functional unit and compare, can know directly perceivedly whether normal operating condition of each functional unit carries out more accurate control to the converter.
Description
Technical Field
The application relates to the field of frequency converter monitoring, in particular to an intelligent monitoring system and an intelligent monitoring method for a frequency converter.
Background
With the continuous improvement of the industrial automation degree, the frequency converter is widely applied.
The frequency converter mainly comprises a plurality of functional units such as a rectifying unit, a filtering unit, an inverting unit, a braking unit and a driving unit.
Most of frequency converters have multiple self-protection functions such as overvoltage, overcurrent and overheating, and any self-protection trigger can cause the frequency converter to stop working. However, when the self-protection is started, often, a part of functional units in the frequency converter are damaged due to instantaneous overvoltage, overcurrent or overheating, and time is needed for repairing, so that the frequency converter cannot work for a certain time, and production and life are affected.
Disclosure of Invention
In order to reduce the possibility of sudden failure of the frequency converter, the application provides an intelligent monitoring system and an intelligent monitoring method for the frequency converter.
In a first aspect, the present application provides an intelligent monitoring method for a frequency converter, which adopts the following technical scheme:
an intelligent monitoring method for a frequency converter comprises the following steps:
acquiring working parameters of each functional unit;
acquiring warning parameters of each functional unit;
and comparing the working parameters and the warning parameters of the same functional unit, and if the working parameters exceed the warning parameters, sending a warning signal, wherein the warning signal comprises the label corresponding to the functional unit with the working parameters exceeding the warning parameters.
By adopting the technical scheme, the electric energy can have different states in different functional units in the frequency converter, corresponding warning parameters are set for each functional unit respectively, actual working parameters of each functional unit are collected for comparison, whether the working state of each functional unit is normal or not can be visually known, and the frequency converter is monitored more accurately.
Optionally, the alert parameter is obtained in the following manner:
establishing a virtual model for simulating the working of the frequency converter based on parameters input manually;
acquiring power grid parameters for supplying power to a frequency converter;
and substituting the power grid parameters into the virtual model, calculating theoretical working parameters of each functional module, and taking the theoretical working parameters as warning parameters of the corresponding functional module.
By adopting the technical scheme, the same power grid parameters are used as input, theoretical working parameters are obtained in a virtual calculation mode, the theoretical working parameters are used as reference values for measuring the actual working parameters of the functional units, and whether the functional units have faults or not can be directly obtained by comparing warning parameters with the actual working parameters.
Optionally, the specific manner of adding the tag to the alarm signal is as follows:
sequencing the labels corresponding to the functional units with the working parameters exceeding the warning parameters, wherein the sequencing mode is according to the working sequence of each functional unit;
the tag with the most advanced storage order is selected to be added to the alarm signal.
By adopting the technical scheme, after the front functional unit breaks down, the subsequent functional units are easy to generate chain faults, and after the fault of the front functional unit is eliminated, the subsequent functional units can be recovered to be normal, so that the functional unit which breaks down firstly is preferentially eliminated.
Optionally, the warning parameters include a voltage parameter, a current parameter and a temperature parameter,
and when the power grid parameters change, judging the change trend of the power grid parameters, and when the power grid parameters are in a descending trend, delaying the temperature parameters in the warning parameters to change.
By adopting the technical scheme, the temperature change cannot be as fast as the voltage and the current, so that when the power grid parameters are reduced, the temperature around the functional unit cannot be reduced to the warning parameters immediately, and a new reference needs to be executed after the new temperature parameters are delayed for a period of time.
Optionally, shutdown parameters are preset, the calculated warning parameters need to be compared with the shutdown parameters, and when the warning parameters are not less than the shutdown parameters, the frequency converter is turned off.
Through adopting above-mentioned technical scheme, when surging because operating parameter is because the trouble, cause the converter to damage extremely easily, for reducing the loss, set up the shutdown parameter, in time close the converter, prevent the expansion of equipment damage.
Optionally, comparing the working parameters exceeding the warning parameters with the shutdown parameters, and sending out a warning signal when the working parameters are lower than the shutdown parameters; and when the working parameters are not lower than the shutdown parameters, closing the frequency converter and sending a shutdown signal, wherein the shutdown signal comprises all labels corresponding to the functional units exceeding the shutdown parameters.
In a second aspect, the present application provides an intelligent monitoring system for a frequency converter, which adopts the following technical scheme:
an intelligent monitoring system of a frequency converter comprises a database, a processor and a plurality of detection modules, wherein the detection modules are respectively in one-to-one correspondence with functional units in the frequency converter, and the detection modules are used for acquiring working parameters of the corresponding functional units;
the database is used for providing warning parameters of all the functional units for the processor;
and the processor is used for receiving the working parameters transmitted by the detection module and comparing the working parameters with the warning parameters of the same functional unit, and if the working parameters exceed the warning parameters, the processor sends out warning signals which contain the labels of the functional units corresponding to the warning parameters.
Optionally, the database is provided with a model building module and an operation module,
the model establishing module is used for acquiring control parameters of each functional unit and establishing a virtual model for simulating the working of the frequency converter according to the control parameters;
and the operation module is used for acquiring the power grid parameters input into the frequency converter and calculating the warning parameters of each functional unit by combining the virtual model.
Optionally, a sorting unit is arranged in the processor,
the sequencing unit is used for sequentially storing all labels corresponding to the functional units with the working parameters exceeding the warning parameters according to the working sequence;
and the processor selects the tag with the most top storage sequence from the sorting unit and adds the tag to the alarm signal.
Optionally, a voltage variation module is arranged in the processor,
and the voltage change module is used for judging the change trend of the power grid voltage, when the power grid voltage is in a descending trend, the processor sends a delay signal to the database, and the database delays to calculate new temperature parameters.
In summary, the present application includes at least one of the following beneficial technical effects: by calculating the volume warning parameters of each functional unit and comparing the volume warning parameters with the detected actual working parameters, workers can conveniently and visually and quickly know the actual working conditions of the functional units, find problems as soon as possible and remove faults in advance.
Drawings
Fig. 1 is a rectification flowchart of an embodiment of the present application.
Fig. 2 is a detailed flowchart of step S2 according to the embodiment of the present application.
Fig. 3 is an overall circuit block diagram of an embodiment of the present application.
Fig. 4 is a circuit block diagram of a database according to an embodiment of the present application.
FIG. 5 is a block circuit diagram of a processor of an embodiment of the present application.
Description of the reference numerals: 1. a database; 2. a processor; 3. a detection module; 4. a collector; 5. a model building module; 6. an operation module; 7. a sorting unit; 8. and a voltage change module.
Detailed Description
The present application is described in further detail below with reference to figures 1-5.
The embodiment of the application discloses an intelligent monitoring method for a frequency converter, which is shown in a figure 1 and a figure 2 and comprises the following steps:
and step S1, acquiring working parameters of each functional unit, wherein the working parameters are values of voltage parameters, current parameters, temperature parameters and the like generated by the corresponding functional unit in actual work.
The frequency converter is composed of a plurality of functional units such as a rectifying unit, a filtering unit, an inverting unit, a braking unit and a driving unit. The minimum constituent unit of the functional units is an electrical element, and the number and types of the electrical elements constituting different functional units are often different, and the voltage, the current and the temperature that different electrical elements can bear are different, which results in that the voltage, the current and the temperature that different functional units can bear are different. Therefore, the overall operation of the frequency converter cannot completely replace the operation of each functional unit in the frequency converter. If the frequency converter needs to be monitored more accurately, the working condition of each functional unit still needs to be monitored and analyzed.
Step S2, acquiring warning parameters of each functional unit, wherein the warning parameters comprise voltage parameters, current parameters and temperature parameters which can be theoretically borne by the corresponding functional unit.
The specific way of acquiring the warning parameters is as follows:
and step S21, establishing a virtual model based on manual operation, wherein the virtual model comprises functional units such as a virtualized rectifying unit, a filtering unit, an inversion unit, a brake unit and a drive unit, and the simulation work is carried out in the same way as the actual simulation work. For example, the virtual rectified dc output by the virtual rectifying unit is used as the input value of the virtual filtering unit.
Compared with an actual frequency converter, the virtual function unit in the virtual model has no loss, and the working performance of the virtual function unit is always kept consistent. However, the actual functional unit will be worn due to long-term operation, and once the wear is accumulated to a certain extent, the performance of the functional unit will be greatly reduced, thereby easily causing a failure. Therefore, the loss condition of the actual functional unit can be intuitively known only by giving the same input quantity to the actual frequency converter and the virtual model and comparing the working parameters of the actual functional unit and the virtual functional unit.
The same input is the grid parameter that supplies the actual frequency converter. However, because the power grid itself has certain fluctuation, if the power grid parameters are accessed into the virtual model all the time, the working parameters of the virtual functional units obtained by the virtual model will change all the time.
In order to reduce the calculated amount, in the working process of the frequency converter, the power grid parameters are periodically acquired to be used as the input amount of the virtual model.
And step S22, calculating the working parameters of each virtual function module and taking the working parameters as the warning parameters of the corresponding function module.
Because the grid parameters are acquired regularly, errors are easy to occur, for example, the grid just fluctuates to a higher value when the input quantity is acquired, so that the acquired warning parameters are higher, and before the grid parameters are acquired next time, the grid fluctuates to a lower value, the actual working parameters are lower, so that the difference between the working parameters and the warning parameters is large. In order to reduce error interference, manual acquisition input quantity can be set, when a worker observes that the deviation is large, the worker manually triggers the acquisition of the power grid parameters, and the worker uses new warning parameters to compare with the current working parameters.
Generally, when the power grid is stable and the frequency converter normally works, the working parameters are often lower than the warning parameters. When the difference between the working parameter and the warning parameter is large, the worker needs to maintain the corresponding functional unit and replace the electrical element with large loss.
When the frequency converter has a fault, for example, a short circuit occurs in a circuit, part of values in the working parameters exceed warning parameters, and in this case, a warning signal needs to be sent out to inform workers.
The alarm signal comprises a label corresponding to the functional unit with the working parameter exceeding the warning parameter. And only one label is added to one alarm signal. This is because when a functional unit fails, the subsequent functional units are often affected, so that the operating parameters of the subsequent functional units also exceed the warning parameters. Therefore, in order to reduce the interference on the fault removal of workers, only one label is added when the alarm signal is sent, and the label corresponds to the functional unit of which the most front working parameter exceeds the warning parameter.
Each functional unit has upper limit values capable of withstanding voltage, current and temperature, which are collectively defined as shutdown parameters of the functional unit, and are liable to cause damage to the functional unit once the operating parameters exceed the upper limit values. The shutdown parameter may be considered a constant value and the warning parameter is affected by the input.
And step S23, when the warning parameters are updated every time, the new warning parameters need to be compared with the shutdown parameters, if the warning parameters are not lower than the shutdown parameters, which indicates that the current input quantity is too large, the frequency converter is immediately closed, the power supply of the power grid is stopped, and the frequency converter is prevented from being continuously impacted by the power grid to cause large-scale damage.
Step S3, the working parameter is compared with the shutdown parameter after exceeding the warning parameter, when the working parameter is lower than the shutdown parameter, only the alarm signal needs to be sent out, but the frequency converter can still continue to work; and when the working parameter is not lower than the shutdown parameter, immediately closing the frequency converter and sending a shutdown signal, wherein the shutdown signal also comprises a label representing the functional unit of which the working parameter exceeds the shutdown parameter. Different from the alarm signal, the shutdown signal needs to contain all the tags corresponding to all the functional units exceeding the shutdown parameters, so that the working personnel can conveniently overhaul all the functional units which are possibly damaged greatly.
In addition, the temperature parameter among the operating parameters has a certain hysteresis with respect to the change of the input amount, with respect to the voltage parameter and the current parameter that can respond quickly to the change of the input amount. If the input quantity is increased, the warning parameters are increased, and the slow increase of the temperature parameters in the working parameters cannot cause influence. However, when the input quantity is reduced, the alarm parameter is also reduced, but the temperature parameter in the operating parameters is not reduced in time, the alarm parameter is likely to be exceeded, and thus a false alarm is generated. Therefore, for the characteristic of the temperature parameter, the change trend of the power grid parameter needs to be judged, and when the power grid parameter is in a descending trend, the temperature parameter in the warning parameter still adopts the previous temperature parameter, and is updated to be the new temperature parameter after a certain delay time. The length of the delay time is set by working personnel according to whether the field environment is favorable for heat dissipation.
The embodiment of the application also discloses an intelligent monitoring system of the frequency converter, which is shown in fig. 3 and comprises a database 1, a processor 2 and a plurality of detection modules 3, wherein the detection modules 3 are respectively in one-to-one correspondence with the functional units in the frequency converter, and the detection modules 3 are used for detecting the working parameters of corresponding sensors and transmitting the working parameters to the processor 2. Each detection module 3 comprises a voltage sensor, a current sensor and a temperature sensor, and the detection modules 3 collect signals detected by all the sensors together and serve as working parameters of corresponding functional units. In addition, a collector 4 specially used for collecting power grid parameters is further installed on a connecting port of the frequency converter and the power grid, the collector 4 is a voltage sensor, and the power grid voltage collected by the collector 4 is used as the input quantity of the power grid and is transmitted to the processor 2.
Collector 4 is not always in operation but is controlled by processor 2. The processor 2 sends an acquisition instruction to the collector 4 at regular intervals or based on manual operation, and the collector 4 is started after receiving the acquisition instruction to acquire the current power grid voltage as an input quantity. The collector 4 enters the closed state again after completing the transmission of the input quantity.
Referring to fig. 3 and 4, the database 1 includes a model building module 5 and an operation module 6. The model building module 5 shows a parameter table for the staff, the unit and the name of each kind of control parameter are recorded on the parameter table, and the staff needs to supplement the numerical value of the parameter. When the parameter table is completely supplemented, the model building module 5 builds a virtual model according to the control parameters. The virtual model is sequentially provided with virtual nodes which are the same as a plurality of functional units such as a rectifying unit, a filtering unit, an inverting unit, a braking unit and a driving unit according to the functions of the actual frequency converter.
The operation module 6 substitutes the power grid parameters input into the frequency converter, i.e. the input quantity provided by the collector 4, into the first virtual node to obtain the working parameters of the functional unit corresponding to the first virtual node, and then inputs the working parameters of the first virtual node into the second virtual node to obtain the working parameters of the functional unit corresponding to the second virtual node. And based on the steps, sequentially obtaining working parameters of the functional units corresponding to all the virtual nodes. The working parameters calculated by the virtual model are the warning parameters of the corresponding functional unit.
The processor 2 is responsible for transmitting the input quantity to the database 1 after the input quantity is collected by the collector 4 so that the database 1 can update the warning parameters. And the processor 2 is also used for receiving the working parameters transmitted by the detection module 3 and comparing the working parameters with the warning parameters of the same functional unit. If the operating parameter is lower than the warning parameter, the processor 2 does not act. If the working parameters exceed the warning parameters, the processor 2 compares the working parameters with the shutdown parameters. If the working parameter is lower than the shutdown parameter, the processor 2 sends out an alarm signal; if the operating parameter is higher than the shutdown parameter, the processor 2 closes the frequency converter and sends a shutdown signal.
Referring to fig. 5, a sorting unit 7 and a voltage variation module 8 are provided within the processor 2. The sorting unit 7 is used for sequentially storing labels corresponding to the functional units with the working parameters exceeding the warning parameters according to the working sequence. The processor 2 selects the tag with the top storage order from the sorting unit 7 to add to the alarm signal. The voltage change module 8 is used for judging the change trend of the power grid voltage, when the power grid voltage is in a descending trend, the processor 2 sends a delay signal to the database 1, and the database 1 delays to calculate new temperature parameters.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: equivalent changes in structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (6)
1. An intelligent monitoring method for a frequency converter is characterized by comprising the following steps:
acquiring working parameters of each functional unit;
acquiring warning parameters of each functional unit;
comparing the working parameters and the warning parameters of the same functional unit, and if the working parameters exceed the warning parameters, sending a warning signal, wherein the warning signal comprises a label corresponding to the functional unit of which the working parameters exceed the warning parameters;
the acquisition mode of the warning parameters is as follows:
establishing a virtual model for simulating the working of the frequency converter based on manually input parameters;
acquiring power grid parameters for supplying power to a frequency converter;
substituting the power grid parameters into the virtual model, calculating theoretical working parameters of each functional module and taking the theoretical working parameters as warning parameters of the corresponding functional module;
the warning parameters comprise a voltage parameter, a current parameter and a temperature parameter,
and when the power grid parameters change, judging the change trend of the power grid parameters, and when the power grid parameters are in a descending trend, delaying the temperature parameters in the warning parameters to change.
2. The intelligent monitoring method for the frequency converter according to claim 1, wherein the specific way of adding the tag to the alarm signal is as follows:
sequencing the labels corresponding to the functional units with the working parameters exceeding the warning parameters, wherein the sequencing mode is according to the working sequence of each functional unit;
the tag with the most advanced storage sequence is selected to be added to the alarm signal.
3. The intelligent monitoring method for the frequency converter according to claim 1, characterized in that: the shutdown parameters are preset, the calculated warning parameters need to be compared with the shutdown parameters, and when the warning parameters are not smaller than the shutdown parameters, the frequency converter is closed.
4. The intelligent monitoring method of the frequency converter according to claim 3, characterized in that: the working parameters exceeding the warning parameters are also compared with the shutdown parameters, and when the working parameters are lower than the shutdown parameters, an alarm signal is sent out; and when the working parameters are not lower than the shutdown parameters, closing the frequency converter and sending a shutdown signal, wherein the shutdown signal comprises all labels corresponding to the functional units exceeding the shutdown parameters.
5. The utility model provides a converter intelligent monitoring system which characterized in that: the frequency converter comprises a database (1), a processor (2) and a plurality of detection modules (3), wherein the detection modules (3) are respectively in one-to-one correspondence with functional units in the frequency converter, and the detection modules (3) are used for acquiring working parameters of the corresponding functional units;
the database (1) is used for providing warning parameters of all the functional units for the processor (2);
the processor (2) is used for receiving the working parameters transmitted by the detection module (3) and comparing the working parameters with the warning parameters of the same functional unit, if the working parameters exceed the warning parameters, the processor (2) sends out warning signals, and the warning signals contain the labels of the functional units corresponding to the warning parameters;
the database (1) is provided with a model building module (5) and an operation module (6),
the model establishing module (5) is used for acquiring control parameters of each functional unit and establishing a virtual model for simulating the working of the frequency converter according to the control parameters;
the operation module (6) is used for acquiring power grid parameters input into the frequency converter and calculating warning parameters of each functional unit by combining the virtual model;
a voltage change module (8) is arranged in the processor (2);
and the voltage change module (8) is used for judging the change trend of the power grid voltage, when the power grid voltage is in a descending trend, the processor (2) sends a delay signal to the database (1), and the database (1) delays to calculate new temperature parameters.
6. The intelligent monitoring system of frequency converters of claim 5, characterized in that: a sorting unit (7) is arranged in the processor (2),
the sequencing unit (7) is used for sequentially storing all labels corresponding to the functional units with the working parameters exceeding the warning parameters according to the working sequence;
and the processor (2) selects the tag with the most top storage sequence from the sorting unit (7) to be added to the alarm signal.
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