CN116300821A - Voltage regulator fault diagnosis method and device and electronic equipment - Google Patents
Voltage regulator fault diagnosis method and device and electronic equipment Download PDFInfo
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Abstract
The application relates to the technical field of voltage regulators, in particular to a voltage regulator fault diagnosis method, a voltage regulator fault diagnosis device and electronic equipment, which are used for solving the problem of high misjudgment rate caused by subjective deduction difference and external environment interference. In the method, firstly, an operation parameter set of a target voltage regulator in a specified period is obtained, then, based on a fault diagnosis mechanism model, the operation parameters in the operation parameter set are subjected to motion state analysis to obtain the operation state of the target voltage regulator, and then, the fault diagnosis result of the target voltage regulator is obtained according to the operation state of the target voltage regulator. Based on the method, the accuracy of the fault diagnosis of the voltage regulator can be improved, manual regular inspection is reduced, labor cost is saved, and preventive maintenance effect is achieved by finding the diagnosis fault in advance.
Description
Technical Field
The present disclosure relates to the field of voltage regulators, and in particular, to a method and an apparatus for fault diagnosis of a voltage regulator, and an electronic device.
Background
The pressure regulator has the greatest function of keeping the stable pressure of the fuel gas when in use, thereby ensuring the safe and stable operation of the fuel gas appliance.
When the voltage regulator fails, the normal use of a large number of users can be affected, so that the voltage regulator needs to be checked regularly, and the normal practice is to manually check regularly, i.e. manually deduce whether the fault occurs or not by checking the up-down change of the water column. However, this method relies on the expertise of related technicians, and has a problem of high misjudgment rate due to subjective inference differences and external environment interference.
Disclosure of Invention
The application provides a voltage regulator fault diagnosis method, device and electronic equipment, which are used for improving the accuracy rate of voltage regulator fault diagnosis.
In a first aspect, the present application provides a method for voltage regulator fault diagnosis, the method comprising:
acquiring an operation parameter set of a target voltage regulator in a specified period;
based on a fault diagnosis mechanism model, performing motion state analysis on the operation parameters in the operation parameter set to obtain the operation state of the target voltage regulator;
and obtaining a fault diagnosis result of the target voltage regulator according to the running state of the target voltage regulator.
As a possible implementation manner, the operation parameter set includes at least: time, outlet pressure, set pressure and/or shut-off pressure, then
The fault diagnosis mechanism model is based on, the operation parameters in the operation parameter set are subjected to motion state analysis to obtain the operation state of the target voltage regulator, and the method comprises the following steps:
based on the fault diagnosis mechanism model, constructing a time sequence corresponding to the time and the outlet pressure according to a preset time period;
and analyzing and obtaining the running state of the target voltage regulator according to the time sequence, the set pressure and/or the closing pressure.
As a possible implementation manner, the analyzing to obtain the operation state of the target voltage regulator according to the time sequence, the set pressure and/or the closing pressure includes:
according to the time sequence and the set pressure, analyzing to obtain a first running state of the target voltage regulator; the first running state comprises a first abnormal state and a normal state;
and analyzing and obtaining a second running state of the target voltage regulator according to the time sequence and the closing pressure, wherein the second running state comprises a second abnormal state and a normal state.
As a possible embodiment, the fault diagnosis mechanism model includes at least a first diagnosis module, and the operation parameter set includes at least time, outlet pressure, and set pressure, then
The step of analyzing the motion state of the operation parameters in the operation parameter set based on the fault diagnosis mechanism model to obtain the operation state of the target voltage regulator comprises the following steps:
based on the first diagnosis module, constructing a time sequence corresponding to the time and the outlet pressure according to a preset time period;
according to the time sequence and the set pressure, calculating the amplitude of the target voltage regulator in each preset time period;
and obtaining the running state of the voltage regulator by analyzing whether the amplitude of each preset time period meets preset conditions.
As a possible implementation manner, the obtaining the operation state of the voltage regulator by analyzing whether the amplitude of each preset time period meets a preset condition includes:
judging whether n amplitudes are larger than a preset amplitude threshold value or not according to the amplitude of each preset time period;
if yes, judging that the target voltage regulator is in a first abnormal state; wherein n is an integer greater than 0;
if not, judging that the target voltage regulator is in a normal state.
As a possible embodiment, the fault diagnosis mechanism model at least comprises a second diagnosis module, and the operation parameter set at least comprises time, outlet pressure and closing pressure, then
The fault diagnosis mechanism model is based on, the operation parameters in the operation parameter set are subjected to motion state analysis to obtain the operation state of the target voltage regulator, and the method comprises the following steps:
based on the second diagnosis module, constructing a time sequence corresponding to the time and the outlet pressure according to a preset time period;
calculating the difference value of the outlet pressure minus the closing pressure corresponding to each preset time period according to the time sequence, and obtaining a difference value sequence corresponding to the time sequence;
if the difference value in the difference value sequence in the preset time period exists, judging that the target voltage regulator is in a second abnormal state according to the presenting increasing trend;
and if the difference value in the difference value sequence in the preset period does not exist, judging that the target voltage regulator is in a normal state according to the increasing trend.
As a possible implementation manner, after the fault diagnosis result of the target voltage regulator is obtained according to the operation state of the target voltage regulator, the method further includes:
and if the fault diagnosis result of the target voltage regulator is that the fault occurs, sending out an alarm message.
In a second aspect, the present application provides an apparatus for voltage regulator fault diagnosis, the apparatus comprising:
the acquisition module is used for acquiring an operation parameter set of the target voltage regulator in a specified period;
the analysis module is used for analyzing the motion state of the operation parameters in the operation parameter set based on the fault diagnosis mechanism model to obtain the operation state of the target voltage regulator;
and the obtaining module is used for obtaining a fault diagnosis result of the target voltage regulator according to the running state of the target voltage regulator.
As a possible implementation manner, the operation parameter set includes at least: time, outlet pressure, set pressure and/or shut-down pressure, the analysis module is specifically configured to:
based on the fault diagnosis mechanism model, constructing a time sequence corresponding to the time and the outlet pressure according to a preset time period;
and analyzing and obtaining the running state of the target voltage regulator according to the time sequence, the set pressure and/or the closing pressure.
As a possible implementation manner, the analysis module is configured to analyze and obtain the operation state of the target voltage regulator according to the time sequence, the set pressure and/or the closing pressure, and specifically is configured to:
according to the time sequence and the set pressure, analyzing to obtain a first running state of the target voltage regulator; the first running state comprises a first abnormal state and a normal state;
and analyzing and obtaining a second running state of the target voltage regulator according to the time sequence and the closing pressure, wherein the second running state comprises a second abnormal state and a normal state.
As a possible implementation manner, the fault diagnosis mechanism model at least includes a first diagnosis module, and the operation parameter set includes at least time, outlet pressure and set pressure, and the analysis module is specifically configured to:
based on the first diagnosis module, constructing a time sequence corresponding to the time and the outlet pressure according to a preset time period;
according to the time sequence and the set pressure, calculating the amplitude of the target voltage regulator in each preset time period;
and obtaining the running state of the voltage regulator by analyzing whether the amplitude of each preset time period meets preset conditions.
As a possible implementation manner, the analysis module is configured to obtain the operation state of the voltage regulator by analyzing whether the amplitude of each preset time period meets a preset condition, and is specifically configured to:
judging whether n amplitudes are larger than a preset amplitude threshold value or not according to the amplitude of each preset time period;
if yes, judging that the target voltage regulator is in a first abnormal state; wherein n is an integer greater than 0;
if not, judging that the target voltage regulator is in a normal state.
As a possible implementation manner, the fault diagnosis mechanism model at least includes a second diagnosis module, and the operation parameter set includes at least time, outlet pressure and closing pressure, and the analysis module is specifically configured to:
based on the second diagnosis module, constructing a time sequence corresponding to the time and the outlet pressure according to a preset time period;
calculating the difference value of the outlet pressure minus the closing pressure corresponding to each preset time period according to the time sequence, and obtaining a difference value sequence corresponding to the time sequence;
if the difference value in the difference value sequence in the preset time period exists, judging that the target voltage regulator is in a second abnormal state according to the presenting increasing trend;
and if the difference value in the difference value sequence in the preset period does not exist, judging that the target voltage regulator is in a normal state according to the increasing trend.
As a possible implementation manner, the obtaining module is further configured to:
and if the fault diagnosis result of the target voltage regulator is that the fault occurs, sending out an alarm message.
In a third aspect, the present application provides an electronic device, including:
a memory for storing a computer program;
and the processor is used for realizing the method steps of the voltage regulator fault diagnosis when executing the computer program stored in the memory.
In a fourth aspect, the present application provides a computer readable storage medium having a computer program stored therein, which when executed by a processor, performs the method steps of a voltage regulator fault diagnosis as described above.
In the embodiment of the application, parameters in the operation parameter set of the target voltage regulator are input as a model of a diagnosis mechanism model, then motion state analysis is carried out on input data through the diagnosis mechanism model, the operation state of the target voltage regulator is obtained and is used as model output, and a fault diagnosis result of the target voltage regulator is obtained based on the model output. Therefore, the problem of high misjudgment rate caused by subjective deduction of differences and external environment interference of technicians can be solved, and the fact that the diagnosis mechanism model is used as a pre-training model is easy to know, the principle of the diagnosis mechanism model is to analyze the motion state, so that the motion state output by the diagnosis mechanism model is used for obtaining a fault diagnosis result, and the accuracy rate of the fault diagnosis of the voltage regulator can be effectively improved.
The inventor experiments find that the accuracy of the fault diagnosis result obtained through the scheme can reach more than 90% stably, so the scheme can effectively reduce manual periodic inspection, save labor cost, avoid high misjudgment rate caused by subjective inference difference and external environment interference, and simultaneously discover the diagnosis fault of the voltage regulator in advance based on the scheme, thereby achieving the effect of preventive maintenance.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
FIG. 1 is a schematic diagram of one possible implementation environment provided herein;
fig. 2 is a flowchart of a method for diagnosing a voltage regulator fault provided in the present application;
FIG. 3 is a schematic diagram of a first abnormal state provided in the present application;
FIG. 4 is a schematic diagram of a second abnormal state provided in the present application;
fig. 5 is a schematic diagram of a device for diagnosing faults of a voltage regulator provided by the present application;
fig. 6 is a schematic diagram of a structure of an electronic device provided in the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
In the embodiment of the application, the related processes of collecting, storing, using, processing, transmitting, providing, disclosing and the like of the personal information of the user accord with the regulations of related laws and regulations, and the public order colloquial is not violated.
It should be noted that the scheme can be applied to voltage regulator fault diagnosis and the like in various application scenes such as scientific research, experiments, detection, heating and heat preservation, soft start and the like. The scheme can be further applied to the task of reducing the fault diagnosis misjudgment rate of the voltage regulator.
The execution subject of the present solution may be a computing device. The fault diagnosis mechanism model is deployed on the related computing equipment, and the running state is obtained by running state analysis of the running parameters in the running parameter set, so that a fault diagnosis result is generated, and the problem of high fault diagnosis misjudgment rate of the voltage regulator is optimized. Of course, the main body to which the present embodiment is applied is merely exemplified herein, and is not particularly limited.
The following is a simple description of the design concept of the voltage regulator fault diagnosis method provided in the embodiment of the present application.
The pressure regulator is used as a device of a closed-loop control system, and has the biggest effect of keeping the stable pressure of the fuel gas when the gas appliance is used, thereby ensuring that the fuel gas appliance obtains stable fuel-air ratio.
In order to ensure normal use of the user, it is necessary to periodically detect whether the voltage regulator has failed.
For example, in the related art, a manual inspection is performed periodically, i.e., by checking the up-and-down change of the water column to manually infer whether a fault occurs. However, this method relies on the expertise of technicians, suffers from subjective inference differences and external environment interference, and has a problem of high misjudgment rate.
For another example, in the related art, installation of the solid state device is increased, and by installing the sensor and the remote transmission module, an alarm is sent to inform a technician to check on site through judgment of the outlet pressure threshold. However, this method saves labor cost, but cannot identify a surge fault of the voltage regulator, and has a problem of identifying a single surge fault scene.
For another example, in the related art, advanced instruments are introduced, and the voltage regulator fault is detected by performing a field preliminary inspection through a portable intelligent safety detection instrument in combination with a periodic inspection by a technician. However, the advanced instrument introduced in the mode is difficult to popularize due to high use cost, and meanwhile, the technical problems caused by manual inspection also exist due to the fact that manual inspection is combined.
It can be seen that in the related art, there is a problem that it is difficult to accurately diagnose the voltage regulator fault.
In order to improve the diagnosis accuracy of the voltage regulator faults, the application provides a voltage regulator fault diagnosis method. In the method, an operation parameter set of a target voltage regulator in a specified period is obtained, then, based on a fault diagnosis mechanism model, the operation parameters in the operation parameter set are subjected to motion state analysis to obtain the operation state of the target voltage regulator, and then, the fault diagnosis result of the target voltage regulator is obtained according to the operation state of the target voltage regulator.
In the embodiment of the application, parameters in the operation parameter set of the target voltage regulator are input as a model of a diagnosis mechanism model, then motion state analysis is carried out on input data through the diagnosis mechanism model, the operation state of the target voltage regulator is obtained and is used as model output, and a fault diagnosis result of the target voltage regulator is obtained based on the model output. Therefore, the problem of high misjudgment rate caused by subjective deduction of differences and external environment interference of technicians can be solved, and the fact that the diagnosis mechanism model is used as a pre-training model is easy to know, the principle of the diagnosis mechanism model is to analyze the motion state, so that the motion state output by the diagnosis mechanism model is used for obtaining a fault diagnosis result, and the accuracy rate of the fault diagnosis of the voltage regulator can be effectively improved.
The inventor experiments find that the accuracy of the fault diagnosis result obtained through the scheme can reach more than 90% stably, so the scheme can effectively reduce manual periodic inspection, save labor cost, avoid high misjudgment rate caused by subjective inference difference and external environment interference, and simultaneously discover the diagnosis fault of the voltage regulator in advance based on the scheme, thereby achieving the effect of preventive maintenance.
The voltage regulator fault diagnosis method provided by the embodiment of the application can be applied to an implementation environment shown in fig. 1, and the implementation environment at least comprises a sensing node, an operation node, a management node, a calculation node and a storage node.
The sensor node includes a sensor, for example, the sensor may include a photoelectric tube, a photomultiplier tube, a photoresistor, a phototransistor, a solar cell, an infrared sensor, an ultraviolet sensor, an optical fiber photoelectric sensor, a color sensor, and the like, and the sensor type is not specifically limited in this scheme. For example, in the embodiment of the present application, the sensor is configured to obtain an operation parameter set of the target voltage regulator within a specified period, where the operation parameter set may include: time, outlet pressure, set pressure, and/or shut-off pressure.
The operation node is used for interacting with a user so that the user can perform deployment, configuration and management of the voltage regulator fault diagnosis task.
The management node is configured to obtain the operation parameter set from the sensing node, for example, referring to fig. 1, the sensing node uploads the operation parameter set to the cloud end, and the management node obtains the operation parameter set from the cloud end. The management node is also used for managing the computing node and the storage node in combination with the voltage regulator fault diagnosis task. In the management process, the management node forwards the set of operating parameters to the computing node.
The computing node is used for completing the computing task involved in the fault diagnosis task of the voltage regulator according to the received operation parameter set, and realizing the computing acceleration. For example, in the embodiment of the present application, the computing node may be used for a computing task involved in the fault diagnosis mechanism model operation, and illustratively, a computing acceleration of the computing task for analyzing the motion state of the operating parameter in the operating parameter set is implemented.
The storage node is used for storing the operation parameter set acquired by the sensing node and the motion state and fault diagnosis result generated by the voltage regulator fault diagnosis task process according to the management of the management node so as to trace the source.
It should be noted that, the management node, the computing node, and the storage node are different devices, or any two or three of the management node, the computing node, and the storage node may be integrated in the same device. The sensing node, the operation node, and the storage node are not necessarily required, and the present solution is not particularly limited.
The following specifically describes a voltage regulator fault diagnosis method provided in the embodiment of the present application. Referring to fig. 2, the method includes steps 201-203, as follows.
Step 201: acquiring an operation parameter set of a target voltage regulator in a specified period;
the above-mentioned operation parameter set includes at least: time, outlet pressure, set pressure, and/or shut-off pressure.
The above specified period generally refers to a period in which troubleshooting is required for the target voltage regulator, and in some real-time monitoring scenarios, the specified period is an operation parameter set of a continuous time period, where the continuous time period is determined by the acquisition frequency of the sensor.
Step 202: based on a fault diagnosis mechanism model, performing motion state analysis on the operation parameters in the operation parameter set to obtain the operation state of the target voltage regulator;
in the embodiment of the application, a time sequence corresponding to time and outlet pressure can be constructed based on a fault diagnosis mechanism model according to a preset time period, and then the operation state of the target voltage regulator is obtained through analysis according to the time sequence, the set pressure and/or the closing pressure.
The fault diagnosis mechanism model may include: the first diagnosis module can be used for diagnosing surge faults of the target voltage regulator, and the second diagnosis module can be used for diagnosing valve port closing loose faults of the target voltage regulator.
The time sequence series can be constructed by taking the time in the operation parameter set and the corresponding outlet pressure as a group of data, setting a corresponding time range according to the time interval. For example, time T and outlet pressure P 2 As a group of data, the time sequence data P is constructed according to the time interval of less than or equal to 15 minutes and the time range of 0 point to 24 points 2 ’。
The set pressure and/or the closing pressure may be set as constant values, for example, the set pressure P 2s And closing pressure P b 。
The analysis process may include: according to the time sequence and the set pressure, analyzing to obtain a first running state of the target voltage regulator, wherein the first running state comprises a first abnormal state and a normal state; and secondly, according to the time sequence and the closing pressure, analyzing to obtain a second running state of the target voltage regulator, wherein the second running state comprises a second abnormal state and a normal state.
For the first case, firstly, a time sequence array formed by corresponding time and outlet pressure can be constructed according to a preset time period based on a first diagnosis module, then according to the time sequence array and the preset pressure, the amplitude of the target voltage regulator in each preset time period is calculated, the amplitude is the absolute value of the difference value between the outlet pressure and the preset pressure in the same time period, and then the running state of the voltage regulator is obtained by analyzing whether the amplitude of each preset time period meets the preset condition or not.
Further, for each amplitude of the preset time period, it is determined whether n (n is an integer greater than 0) amplitudes are greater than a preset amplitude threshold: if yes, judging that the target voltage regulator is in a first abnormal state; if not, the target voltage regulator is judged to be in a normal state.
For example, the inputs of the first diagnostic module include: time T, outlet pressure P 2 And a set pressure P 2s The output of which comprises: a first abnormal state (surge fault can be inferred) and a normal state. In this embodiment, based on the first diagnostic module, the outlet pressure P may be constructed according to the sequencing of the time T according to a preset time period 2 The time series P of (2) 2 ' for example, a sliding window sequential scan timing data P with a step size of slide window size of size is created 2 ' in the window, if the first abnormal state is diagnosed by the repeated occurrence of large amplitude expression in the unstable phase of the gas consumption, the other conditions can be judged to be normal.
As shown in FIG. 3, is the outlet pressure P 2 The line graph drawn at the specified period is defined in the order of time T, wherein the portion where the larger amplitude occurs is marked with a box, and it can be seen that, in the specified period, it is determined that there are 3 target voltage regulators whose amplitudes are greater than the preset amplitude threshold value in the first abnormal state.
For the second case, firstly, a time sequence series formed by corresponding time and outlet pressure can be constructed according to a preset time period based on the second diagnosis module, and then, according to the time sequence series and the closing pressure, the difference value of the outlet pressure minus the closing pressure corresponding to each preset time period is calculated to obtain a difference value sequence corresponding to the time sequence series: if the difference value in the difference value sequence in the preset period exists according to the presenting increasing trend, the target voltage regulator is judged to be in a second abnormal state; if the difference value in the difference value sequence in the preset period does not exist, the target voltage regulator is judged to be in a normal state according to the presenting increasing trend.
For example, the inputs of the second diagnostic module include: time T, outlet pressure P 2 And closing pressure P b The output of which comprises: a second abnormal state (which can infer that the valve port is not tightly closed) and a normal state. In this embodiment, based on the second diagnostic module, the outlet pressure P may be constructed according to the sequencing of the time T according to the preset time period 2 The time series P of (2) 2 ' e.g. create sliding window sequence scanning time ordinal with step size of slide window size of sizeAccording to P 2 ' in the window, if a low peak gas consumption outlet pressure P occurs 2 Exceeding the closing pressure P b And the continuous growth performance can be diagnosed as the second abnormal state, and the other conditions can be judged as normal.
As shown in FIG. 4, is the outlet pressure P 2 A line graph drawn at a preset period is defined in the order of time T, wherein the gas-use low peak period outlet pressure P 2 Exceeding the closing pressure P b And the continuously increasing part is marked by a straight line, it can be seen that if the increasing trend continues for a certain time in the preset period, the continuously increasing part is judged to be in the second abnormal state.
It should be noted that, the failure diagnosis mechanism model is a pre-training model, the training phase is the same as the application phase, and the difference is that the training process is supervised training, that is, the input data also needs to input the corresponding real running state as the label of the training data, and in the training prediction process, the failure diagnosis mechanism model is updated through the label until the test data set is output to the failure diagnosis mechanism model to reach the expected accuracy.
More preferably, the first diagnosis module and the second diagnosis module in the fault diagnosis mechanism model can be trained respectively, so that feature extraction of each diagnosis module is more targeted, and final prediction accuracy is further improved.
Step 203: and obtaining a fault diagnosis result of the target voltage regulator according to the running state of the target voltage regulator.
Specifically, if the target voltage regulator is in the first abnormal operation state, the fault diagnosis result is that a surge fault occurs; if the target voltage regulator is in the second abnormal operation state, the fault diagnosis result is that the valve port is not tightly closed; if the target voltage regulator is in a normal state, the fault diagnosis result is that no fault occurs.
Further, when the diagnosis result is that a fault occurs, alarm information is automatically generated to prompt a user or a professional. The alarm information can be an acoustic alarm in a scene provided with a sounder, can be a text alarm in a scene provided with a display, and can be transmitted to a designated terminal through a network in a scene provided with Bluetooth or other wireless communication equipment to play a role in warning in the forms of vibration, sound, text and the like.
Through the technical scheme of the embodiment of the application, at least the following beneficial effects can be achieved: the surge fault and the valve closing failure of the target pressure regulator can be automatically monitored, and the detection effective rate can be stabilized to be more than 90% through preliminary tests of the inventor; the manual periodic inspection link can be effectively reduced, the effect of saving labor cost is achieved, and the high misjudgment rate caused by subjective deduction difference and external environment interference is also effectively avoided; because whether the target pressure regulator has surge fault or valve closing fault can be found in advance, the effect of preventive maintenance can be achieved.
Based on the same inventive concept, the present application further provides a voltage regulator fault diagnosis device, for referring to fig. 5, the device includes:
the acquisition module 501 acquires an operation parameter set of the target voltage regulator in a specified period;
the analysis module 502 is used for analyzing the motion state of the operation parameters in the operation parameter set based on the fault diagnosis mechanism model to obtain the operation state of the target voltage regulator;
and an obtaining module 503, configured to obtain a fault diagnosis result of the target voltage regulator according to the operation state of the target voltage regulator.
As a possible implementation manner, the operation parameter set includes at least: time, outlet pressure, set pressure and/or shut-down pressure, the analysis module 502 is specifically configured to:
based on the fault diagnosis mechanism model, constructing a time sequence corresponding to the time and the outlet pressure according to a preset time period;
and analyzing and obtaining the running state of the target voltage regulator according to the time sequence, the set pressure and/or the closing pressure.
As a possible implementation manner, the analysis module 502 is configured to analyze and obtain the operation state of the target voltage regulator according to the time sequence, the set pressure and/or the closing pressure, specifically configured to:
according to the time sequence and the set pressure, analyzing to obtain a first running state of the target voltage regulator; the first running state comprises a first abnormal state and a normal state;
and analyzing and obtaining a second running state of the target voltage regulator according to the time sequence and the closing pressure, wherein the second running state comprises a second abnormal state and a normal state.
As a possible implementation manner, the fault diagnosis mechanism model includes at least a first diagnosis module, and the operation parameter set includes at least time, outlet pressure and set pressure, the analysis module 502 is specifically configured to:
based on the first diagnosis module, constructing a time sequence corresponding to the time and the outlet pressure according to a preset time period;
according to the time sequence and the set pressure, calculating the amplitude of the target voltage regulator in each preset time period;
and obtaining the running state of the voltage regulator by analyzing whether the amplitude of each preset time period meets preset conditions.
As a possible implementation manner, the analysis module 502 is configured to obtain the operation state of the voltage regulator by analyzing whether the amplitude of each preset time period meets a preset condition, specifically:
judging whether n amplitudes are larger than a preset amplitude threshold value or not according to the amplitude of each preset time period;
if yes, judging that the target voltage regulator is in a first abnormal state; wherein n is an integer greater than 0;
if not, judging that the target voltage regulator is in a normal state.
As a possible implementation manner, the fault diagnosis mechanism model includes at least a second diagnosis module, and the operation parameter set includes at least time, outlet pressure and closing pressure, and the analysis module 502 is specifically configured to:
based on the second diagnosis module, constructing a time sequence corresponding to the time and the outlet pressure according to a preset time period;
calculating the difference value of the outlet pressure minus the closing pressure corresponding to each preset time period according to the time sequence, and obtaining a difference value sequence corresponding to the time sequence;
if the difference value in the difference value sequence in the preset time period exists, judging that the target voltage regulator is in a second abnormal state according to the presenting increasing trend;
and if the difference value in the difference value sequence in the preset period does not exist, judging that the target voltage regulator is in a normal state according to the increasing trend.
As a possible implementation manner, the obtaining module 503 is further configured to:
and if the fault diagnosis result of the target voltage regulator is that the fault occurs, sending out an alarm message.
Based on the same inventive concept, the embodiment of the present application further provides an electronic device, where the electronic device may implement the function of the foregoing voltage regulator fault diagnosis apparatus, and referring to fig. 6, the electronic device includes:
at least one processor 601, and a memory 602 connected to the at least one processor 601, a specific connection medium between the processor 601 and the memory 602 is not limited in the embodiment of the present application, and in fig. 6, the processor 601 and the memory 602 are connected by a bus 600 as an example. Bus 600 is shown in bold lines in fig. 6, and the manner in which the other components are connected is illustrated schematically and not by way of limitation. The bus 600 may be divided into an address bus, a data bus, a control bus, etc., and is represented by only one thick line in fig. 6 for convenience of representation, but does not represent only one bus or one type of bus. Alternatively, the processor 601 may be referred to as a controller, and the names are not limited.
In the embodiment of the present application, the memory 602 stores instructions executable by the at least one processor 601, and the at least one processor 601 may perform the voltage regulator fault diagnosis method described above by executing the instructions stored in the memory 602. Processor 601 may implement the functions of the various modules in the apparatus/system shown in fig. 5.
The processor 601 is a control center of the device/system, and may use various interfaces and lines to connect various parts of the entire control device, and by executing or executing instructions stored in the memory 602 and invoking data stored in the memory 602, the device/system performs various functions and processes of the data, thereby performing overall monitoring of the device/system.
In one possible design, processor 601 may include one or more processing units, and processor 601 may integrate an application processor and a modem processor, wherein the application processor primarily processes operating systems, user interfaces, application programs, and the like, and the modem processor primarily processes wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 601. In some embodiments, processor 601 and memory 602 may be implemented on the same chip, or they may be implemented separately on separate chips in some embodiments.
The processor 601 may be a general purpose processor such as a Central Processing Unit (CPU), digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, which may implement or perform the methods, steps and logic blocks disclosed in embodiments of the present application. The general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the voltage regulator fault diagnosis method disclosed in connection with the embodiments of the present application may be directly embodied in a hardware processor for execution, or may be executed by a combination of hardware and software modules in the processor.
The memory 602 is a non-volatile computer readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs, and modules. The Memory 602 may include at least one type of storage medium, which may include, for example, flash Memory, hard disk, multimedia card, card Memory, random access Memory (Random Access Memory, RAM), static random access Memory (Static Random Access Memory, SRAM), programmable Read-Only Memory (Programmable Read Only Memory, PROM), read-Only Memory (ROM), charged erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory), magnetic Memory, magnetic disk, optical disk, and the like. Memory 602 is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory 602 in the present embodiment may also be a circuit or any other device/system capable of implementing a memory function for storing program instructions and/or data.
By programming the processor 601, the code corresponding to the voltage regulator fault diagnosis method described in the foregoing embodiment may be cured into the chip, so that the chip can execute the steps of the voltage regulator fault diagnosis method of the embodiment shown in fig. 2 during operation. How to design and program the processor 601 is a well-known technique for those skilled in the art, and will not be described in detail herein.
Based on the same inventive concept, the embodiments of the present application also provide a storage medium storing computer instructions that, when run on a computer, cause the computer to perform the voltage regulator fault diagnosis method discussed above.
In some possible embodiments, aspects of the voltage regulator fault diagnosis method provided herein may also be implemented in the form of a program product comprising program code for causing the control apparatus to perform the steps in the voltage regulator fault diagnosis method according to various exemplary embodiments of the present application as described herein above when the program product is run on a device.
It will be apparent to those skilled in the art that embodiments of the present application may be provided as a method, apparatus/system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (10)
1. A method of voltage regulator fault diagnosis, the method comprising:
acquiring an operation parameter set of a target voltage regulator in a specified period;
based on a fault diagnosis mechanism model, performing motion state analysis on the operation parameters in the operation parameter set to obtain the operation state of the target voltage regulator;
and obtaining a fault diagnosis result of the target voltage regulator according to the running state of the target voltage regulator.
2. The method of claim 1, wherein the set of operating parameters comprises at least: time, outlet pressure, set pressure and/or shut-off pressure, then
The fault diagnosis mechanism model is based on, the operation parameters in the operation parameter set are subjected to motion state analysis to obtain the operation state of the target voltage regulator, and the method comprises the following steps:
based on the fault diagnosis mechanism model, constructing a time sequence corresponding to the time and the outlet pressure according to a preset time period;
and analyzing and obtaining the running state of the target voltage regulator according to the time sequence, the set pressure and/or the closing pressure.
3. The method of claim 2, wherein analyzing the operating state of the target voltage regulator according to the time series, the set pressure, and/or the closing pressure comprises:
according to the time sequence and the set pressure, analyzing to obtain a first running state of the target voltage regulator; the first running state comprises a first abnormal state and a normal state;
and analyzing and obtaining a second running state of the target voltage regulator according to the time sequence and the closing pressure, wherein the second running state comprises a second abnormal state and a normal state.
4. A method according to any of claims 1-3, wherein the fault diagnosis mechanism model comprises at least a first diagnosis module and the set of operating parameters comprises at least time, outlet pressure and set pressure, then
The step of analyzing the motion state of the operation parameters in the operation parameter set based on the fault diagnosis mechanism model to obtain the operation state of the target voltage regulator comprises the following steps:
based on the first diagnosis module, constructing a time sequence corresponding to the time and the outlet pressure according to a preset time period;
according to the time sequence and the set pressure, calculating the amplitude of the target voltage regulator in each preset time period;
and obtaining the running state of the voltage regulator by analyzing whether the amplitude of each preset time period meets preset conditions.
5. The method of claim 4, wherein the obtaining the operating state of the voltage regulator by analyzing whether the amplitude of each preset time period satisfies a preset condition comprises:
judging whether n amplitudes are larger than a preset amplitude threshold value or not according to the amplitude of each preset time period;
if yes, judging that the target voltage regulator is in a first abnormal state; wherein n is an integer greater than 0;
if not, judging that the target voltage regulator is in a normal state.
6. The method of any of claims 1-3, wherein the fault diagnosis mechanism model includes at least a second diagnostic module, and the set of operating parameters includes at least time, outlet pressure, and shut-down pressure, then
The fault diagnosis mechanism model is based on, the operation parameters in the operation parameter set are subjected to motion state analysis to obtain the operation state of the target voltage regulator, and the method comprises the following steps:
based on the second diagnosis module, constructing a time sequence corresponding to the time and the outlet pressure according to a preset time period;
calculating the difference value of the outlet pressure minus the closing pressure corresponding to each preset time period according to the time sequence, and obtaining a difference value sequence corresponding to the time sequence;
if the difference value in the difference value sequence in the preset time period exists, judging that the target voltage regulator is in a second abnormal state according to the presenting increasing trend;
and if the difference value in the difference value sequence in the preset period does not exist, judging that the target voltage regulator is in a normal state according to the increasing trend.
7. The method of any one of claims 1-3, further comprising, after the obtaining a fault diagnosis result of the target voltage regulator according to an operation state of the target voltage regulator:
and if the fault diagnosis result of the target voltage regulator is that the fault occurs, sending out an alarm message.
8. An apparatus for voltage regulator fault diagnosis, the apparatus comprising:
the acquisition module is used for acquiring an operation parameter set of the target voltage regulator in a specified period;
the analysis module is used for analyzing the motion state of the operation parameters in the operation parameter set based on the fault diagnosis mechanism model to obtain the operation state of the target voltage regulator;
and the obtaining module is used for obtaining a fault diagnosis result of the target voltage regulator according to the running state of the target voltage regulator.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for carrying out the method steps of any one of claims 1-7 when executing a computer program stored on said memory.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored therein a computer program which, when executed by a processor, implements the method steps of any of claims 1-7.
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| CN202310313313.1A CN116300821A (en) | 2023-03-28 | 2023-03-28 | Voltage regulator fault diagnosis method and device and electronic equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117007898A (en) * | 2023-10-07 | 2023-11-07 | 深圳市好盈科技股份有限公司 | Method and device for testing aging state of target electronic speed regulator |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117007898A (en) * | 2023-10-07 | 2023-11-07 | 深圳市好盈科技股份有限公司 | Method and device for testing aging state of target electronic speed regulator |
| CN117007898B (en) * | 2023-10-07 | 2023-12-08 | 深圳市好盈科技股份有限公司 | Method and device for testing aging state of target electronic speed regulator |
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