CN115648943A - Method and system for diagnosing insulation fault, storage medium and electronic device - Google Patents
Method and system for diagnosing insulation fault, storage medium and electronic device Download PDFInfo
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Abstract
The application discloses a method and a system for diagnosing insulation faults, a storage medium and electronic equipment, relates to the technical field of hydrogen fuel cell vehicles, and mainly aims to solve the problems that due to the fact that the existing insulation fault processing mode is simple and is broken, time consumption of the process of waiting for service personnel to process is long, user experience is reduced, and time cost and labor cost for troubleshooting are increased. The method comprises the following steps: acquiring insulation resistance value data of a target object in real time; when the insulation resistance value data is monitored to be lower than a preset insulation resistance value threshold value and exceed a preset duration time threshold value, outputting alarm prompt information of too low insulation resistance value; and triggering an insulation fault diagnosis thread based on the alarm prompt information to perform insulation fault diagnosis on the target object, wherein the insulation fault diagnosis thread is generated according to a pre-established insulation fault identification matrix.
Description
Technical Field
The present disclosure relates to the field of hydrogen fuel cell vehicle technologies, and in particular, to a method and a system for diagnosing an insulation fault, a storage medium, and an electronic device.
Background
Based on the advantage of hydrogen fuel cell cleanliness and no pollution, hydrogen fuel cell vehicles using hydrogen fuel cells as power systems have begun to be popularized domestically and enter into the demonstration operation stage in recent years. However, since the stack is in direct contact with the coolant, the insulation performance of the new energy vehicle is greatly affected by the stack structural design, the material performance and the conductivity of the coolant, and from the aspect of the fault rate of the exemplary operation, the insulation fault is a fault which occurs frequently in the operation faults of the hydrogen fuel cell vehicle, especially an accidental fault, and therefore, the method is particularly important for efficient diagnosis of the insulation fault of the hydrogen fuel cell vehicle.
At present, most of hydrogen fuel cell vehicles are provided with an insulation monitor for monitoring the insulation resistance value of the hydrogen fuel cell vehicle in the whole life cycle, when the insulation resistance value is lower than the minimum alarm threshold value set by the whole vehicle, the vehicle reports an insulation fault through a meter, prompts a driver to stop the vehicle nearby, informs a service staff of handling the vehicle, and cuts off the high voltage of the whole vehicle after the vehicle stops.
However, the processing mode that the vehicle is stopped when the adopted insulation resistance is too low is simple and is broken, and the time consumption of the process of waiting for the processing of the service personnel is long, so that the user experience is reduced, and meanwhile, the time cost and the labor cost for troubleshooting are increased. Therefore, a method for diagnosing insulation faults is needed to solve the above problems.
Disclosure of Invention
In view of this, the present application provides a method and a system for diagnosing an insulation fault, a storage medium, and an electronic device, and mainly aims to solve the problems that the existing insulation fault processing method is simple and is hard to break, the time consumption of the process of waiting for the service personnel to process is long, the user experience is reduced, and the time cost and the labor cost for troubleshooting are increased.
According to an aspect of the present application, there is provided a method of diagnosing an insulation fault, including:
acquiring insulation resistance value data of a target object in real time;
when the insulation resistance value data is monitored to be lower than a preset insulation resistance value threshold value and exceed a preset duration threshold value, outputting alarm prompt information of too low insulation resistance value;
and triggering an insulation fault diagnosis thread based on the alarm prompt information so as to perform insulation fault diagnosis on the target object, wherein the insulation fault diagnosis thread is generated according to a pre-established insulation fault identification matrix.
Preferably, the triggering an insulation fault diagnosis thread specifically includes:
acquiring a plurality of insulation resistance value data of the target object within a preset monitoring time before the current moment;
judging whether the insulation resistance value data are all larger than the preset insulation resistance value threshold value;
if so, outputting prompt information of false insulation monitoring and removing alarm prompt information of too low insulation resistance.
Preferably, the triggering an insulation fault diagnosis thread further includes:
if not, acquiring insulation fault parameter data of the target object within the preset monitoring time length, and determining insulation fault parameter change data of the target object within the preset monitoring time length according to the insulation fault parameter data;
and determining and outputting insulation fault factors and insulation fault treatment measures matched with the target object according to the insulation fault parameter data and the insulation fault parameter change data based on the pre-established insulation fault identification matrix.
Preferably, the determining, according to the insulation fault parameter data and the insulation fault parameter change data, an insulation fault factor and an insulation fault handling measure which are matched with the target object specifically includes:
if the insulation fault parameter data and the insulation fault parameter change data accord with a preset insulation fault parameter change rule, determining an insulation fault factor and an insulation fault treatment measure matched with the target object based on the pre-established insulation fault identification matrix, and outputting the insulation fault factor and the insulation fault treatment measure;
and if the insulation fault parameter data and the insulation fault parameter change data do not accord with a preset insulation fault parameter change rule, outputting information of insulation faults caused by structural or material factors.
Preferably, before determining the insulation fault factor and the insulation fault handling measure matched with the target object based on the pre-established insulation fault identification matrix, the method further includes:
acquiring the diagnosis information of the total solved historical insulation faults;
and establishing a mapping relation among an insulation fault parameter change rule, insulation fault factors and insulation fault treatment measures based on the historical insulation fault diagnosis information, and generating an insulation fault identification matrix.
Preferably, the insulation fault parameters include electrical control parameters, operating condition parameters, and water management parameters.
Preferably, the electric control parameters comprise fuel cell state parameters and fuel cell power parameters;
the working condition parameters comprise environmental humidity parameters;
the water management parameters include a fuel cell water temperature parameter and a fuel cell coolant conductivity parameter.
In accordance with another aspect of the present application, there is provided an insulation fault diagnosis system including:
the acquisition module is used for acquiring insulation resistance value data of a target object in real time;
the alarm module is used for outputting alarm prompt information of overlow insulation resistance value when the insulation resistance value data is monitored to be lower than a preset insulation resistance value threshold value and exceed a preset duration threshold value;
and the diagnosis module is used for triggering an insulation fault diagnosis thread based on the alarm prompt information so as to perform insulation fault diagnosis on the target object, wherein the insulation fault diagnosis thread is generated according to a pre-established insulation fault identification matrix.
Preferably, the diagnostic module specifically includes:
the acquisition unit is used for acquiring a plurality of insulation resistance value data of the target object within a preset monitoring time before the current moment;
the judging unit is used for judging whether the insulation resistance data are all larger than the preset insulation resistance threshold value;
and the removing unit is used for outputting the prompt information of the false insulation monitoring alarm and removing the alarm prompt information of the too low insulation resistance value if the insulation monitoring alarm is true.
Preferably, the diagnostic module further comprises:
the obtaining unit is further configured to, if not, obtain insulation fault parameter data of the target object within the preset monitoring duration, and determine insulation fault parameter change data of the target object within the preset monitoring duration according to the insulation fault parameter data;
and the output unit is used for determining an insulation fault factor and an insulation fault treatment measure matched with the target object according to the insulation fault parameter data and the insulation fault parameter change data based on the pre-established insulation fault identification matrix and outputting the insulation fault factor and the insulation fault treatment measure.
Preferably, the output unit is specifically configured to:
if the insulation fault parameter data and the insulation fault parameter change data accord with a preset insulation fault parameter change rule, determining an insulation fault factor and an insulation fault treatment measure matched with the target object based on the pre-established insulation fault identification matrix, and outputting the insulation fault factor and the insulation fault treatment measure;
and if the insulation fault parameter data and the insulation fault parameter change data do not accord with a preset insulation fault parameter change rule, outputting information of insulation faults caused by structural or material factors.
Preferably, before the output unit, the module further includes:
the acquisition unit is used for acquiring the historical insulation fault diagnosis information solved in full;
and the establishing unit is used for establishing a mapping relation among an insulation fault parameter change rule, an insulation fault factor and an insulation fault treatment measure based on the historical insulation fault diagnosis information and generating an insulation fault identification matrix.
Preferably, the insulation fault parameters include electrical control parameters, operating condition parameters, and water management parameters.
Preferably, the electric control parameters comprise fuel cell state parameters and fuel cell power parameters;
the working condition parameters comprise environmental humidity parameters;
the water management parameters include a fuel cell water temperature parameter and a fuel cell coolant conductivity parameter.
According to still another aspect of the present application, there is provided a storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the insulation fault diagnosis method as described above.
According to still another aspect of the present application, there is provided an electronic apparatus including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the insulation fault diagnosis method.
By means of the technical scheme, the technical scheme provided by the embodiment of the application at least has the following advantages:
the application provides a method and a system for diagnosing insulation faults, a storage medium and electronic equipment, wherein insulation resistance value data of a target object is acquired in real time; secondly, when the insulation resistance value data is monitored to be lower than a preset insulation resistance value threshold value and exceed a preset duration threshold value, outputting alarm prompt information of too low insulation resistance value; and finally, triggering an insulation fault diagnosis thread based on the alarm prompt information so as to perform insulation fault diagnosis on the target object, wherein the insulation fault diagnosis thread is generated according to a pre-established insulation fault identification matrix. Compared with the prior art, the method and the device have the advantages that the insulating tissue of the target object is monitored in real time, when the monitored value is lower than the preset insulating resistance value threshold value, the insulating fault diagnosis thread generated according to the insulating fault recognition matrix established in advance is triggered while the alarm information is output, so that the insulating fault diagnosis is carried out on the target object, the automatic diagnosis of the insulating fault is realized, the time consumed by a user for carrying out fault processing by workers is saved while the safety is ensured, the time cost and the labor cost consumed by troubleshooting are reduced, and the experience feeling of the user is improved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart illustrating a method for diagnosing an insulation fault according to an embodiment of the present application;
fig. 2 is a flowchart illustrating another insulation fault diagnosis method provided in an embodiment of the present application;
fig. 3 shows a flow chart of insulation fault diagnosis in an application scenario provided by an embodiment of the present application;
FIG. 4 shows a flow chart of identifying an insulation fault identification matrix in an application scenario according to an embodiment of the present application;
FIG. 5 is a block diagram illustrating a system for diagnosing insulation faults according to an embodiment of the present application;
fig. 6 shows a schematic structural diagram of a terminal provided in an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Embodiments of the application are applicable to computer systems/servers that are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known computing systems, environments, and/or configurations that may be suitable for use with the computer system/server include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, networked personal computers, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above, and the like.
The computer system/server may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
An embodiment of the present application provides a method for diagnosing an insulation fault, as shown in fig. 1, the method includes:
101. and acquiring insulation resistance value data of the target object in real time.
The target object may be a pure hydrogen fuel cell vehicle or a hybrid vehicle, such as a hydrogen fuel cell vehicle, a hydrogen fuel tramcar, a hybrid vehicle, a hybrid mine car, or the like, or may be other power systems, and the embodiments of the present application are not particularly limited. In this embodiment, the current execution end may be a control end of an electric power system, for example, a control center of a vehicle electric power system, and the insulation resistance value data of the target object is obtained in real time through the high-precision sensor, so as to monitor the insulation resistance value of the target object.
It should be noted that the current execution end may be configured at an instrument central control position of a vehicle driver seat so that a driver can know an actual condition of the vehicle in real time, and may also be configured at a service end so as to remotely monitor the vehicle through a communication connection with the vehicle, which is not specifically limited in the embodiment of the present application.
102. And when the monitored insulation resistance value data is lower than the preset insulation resistance value threshold value and exceeds the preset duration time threshold value, outputting alarm prompt information of too low insulation resistance value.
The preset insulation resistance value threshold value and the preset duration time threshold value can be configured according to design data of a target object, and can also be configured after statistics is carried out on historical accident records. In the embodiment of the application, when the current execution end detects the absolute of the target objectThe edge resistance value data R is lower than the preset insulation resistance value threshold value R lim If the duration time exceeds the preset duration time threshold, it is indicated that an abnormal phenomenon occurs at the current moment of the target object, which may be an abnormal condition of the power system or an abnormal condition of the monitoring device, and further detection is needed, and at this time, in order to ensure the safety of the user, an alarm prompt message about that the insulation resistance value is too low may be output.
It should be noted that the output mode of the information may be a mode of lighting a warning light on an instrument panel, or a mode of sending an alarm ring, or may send the alarm prompt information to the mobile device of the user remotely, which is not specifically limited in the embodiment of the present application.
103. And triggering an insulation fault diagnosis thread based on the alarm prompt information so as to perform insulation fault diagnosis on the target object.
The insulation fault diagnosis thread is generated according to a pre-established insulation fault identification matrix, can be configured according to design data of a target object, and can also be configured after statistics is carried out on historical accident records. In the embodiment of the application, when the alarm prompt information is output, it is described that the target object has an abnormal condition at the current moment, which may be an abnormal condition occurring in the power system, or an abnormal condition occurring in the monitoring device, and the insulation fault diagnosis thread needs to be triggered to perform insulation fault diagnosis on the target object, so as to further determine a specific abnormal problem.
Compared with the prior art, the method and the device have the advantages that the insulation organization of the target object is monitored in real time, when the monitored insulation organization is lower than the preset insulation resistance value threshold value, the insulation fault diagnosis thread generated according to the pre-established insulation fault recognition matrix is triggered while alarm information is output, so that the insulation fault of the target object is diagnosed, the automatic diagnosis of the insulation fault is realized, the time consumed by a user for carrying out fault processing by workers is saved while the safety is ensured, the time cost and the labor cost consumed by fault troubleshooting are reduced, and the experience feeling of the user is improved.
The embodiment of the present application provides another insulation fault diagnosis method, as shown in fig. 2, the method includes:
201. and acquiring a plurality of insulation resistance value data of the target object within a preset monitoring time before the current moment.
In the embodiment of the present application, except for the fact that the power system actually has an insulation fault, the reason that the insulation resistance is too low may be the case that monitoring abnormality occurs in the monitoring device, therefore, after the warning prompt information that the insulation resistance is too low is output, on the premise of ensuring safety, the reason that the warning prompt is caused is diagnosed again, at first, a plurality of insulation resistance data in the preset monitoring duration before the current time of the target object need to be obtained, the insulation resistance data at the full time recorded in the preset monitoring duration may be obtained, or a plurality of insulation resistance data periodically obtained at intervals in advance may be obtained, which is not specifically limited in the embodiment of the present application.
202. And judging whether the insulation resistance value data are all larger than a preset insulation resistance value threshold value.
In the embodiment of the application, whether a plurality of insulation resistance value data in a preset monitoring time period before the current moment are all larger than a preset insulation resistance value threshold value is judged, if all the insulation resistance value data are larger than the preset insulation resistance value threshold value, only the insulation resistance value data at the current moment are smaller than the preset insulation resistance value threshold value, an alarm prompt caused by abnormal monitoring of monitoring equipment can be proved, and the alarm prompt is not caused by insulation faults of an electric power system; on the contrary, it is said that the insulation fault of the power system actually occurs.
203. If so, outputting prompt information of misinformation of insulation monitoring, and removing alarm prompt information of too low insulation resistance.
In the embodiment of the application, after the alarm prompt caused by abnormal monitoring of the monitoring equipment is determined, the prompt information of false insulation monitoring can be output, and the alarm prompt information of too low insulation resistance value can be removed, so that a user can be prompted to continue using the target object.
204. If not, acquiring insulation fault parameter data of the target object within the preset monitoring time length, and determining insulation fault parameter change data of the target object within the preset monitoring time length according to the insulation fault parameter data.
In the embodiment of the application, if the target object is not the insulation fault, it is determined that the power system has the insulation fault, and at this time, the cause of the insulation fault can be diagnosed according to the insulation fault parameter data and the insulation fault parameter change data of the target object within the preset monitoring time period. The insulation fault parameter variation data is calculated according to an insulation fault parameter, for example, the insulation fault parameter is a vehicle speed, and the insulation fault parameter variation data may be a vehicle acceleration. Specifically, the insulation fault parameters include electrical control parameters, operating condition parameters, and water management parameters. Further, the electric control parameters comprise fuel cell state parameters and fuel cell power parameters; the operating condition parameters comprise ambient humidity parameters; the water management parameters include a fuel cell water temperature parameter and a fuel cell coolant conductivity parameter.
205. And based on the pre-established insulation fault identification matrix, determining insulation fault factors and insulation fault treatment measures matched with the target object according to the insulation fault parameter data and the insulation fault parameter change data, and outputting the insulation fault factors and the insulation fault treatment measures.
In the embodiment of the application, the mapping relation between the insulation fault parameter data and the insulation fault parameter change data and the target object matched insulation fault factor and insulation fault handling measure can be recorded in a mode of pre-establishing an insulation fault identification matrix, and when the insulation fault identification matrix is used for insulation fault diagnosis, the obtained insulation fault parameter data and the obtained insulation fault parameter change data are directly input into the insulation fault identification matrix, so that the matched insulation fault factor and the insulation fault handling measure can be obtained. Specifically, the embodiment step 205 specifically includes: if the insulation fault parameter data and the insulation fault parameter change data accord with a preset insulation fault parameter change rule, determining an insulation fault factor and an insulation fault treatment measure matched with a target object based on a pre-established insulation fault identification matrix, and outputting the insulation fault factor and the insulation fault treatment measure; and if the insulation fault parameter data and the insulation fault parameter change data do not accord with the preset insulation fault parameter change rule, outputting information of insulation faults caused by structure or material factors.
Illustratively, the case one, the insulation fault parameter data and the insulation fault parameter variation data are: the fuel cell state enters a starting state from a standby state, and the power output of the fuel cell is not 0; the insulation fault factors are: fuel cell Y capacitance effects; the insulation fault treatment measures are as follows: and (4) carrying out insulation resistance filtering treatment on the insulation monitor.
And the second condition, the insulation fault parameter data and the insulation fault parameter change data are as follows: the fuel cell is in an operating state, and the environment humidity is too high or suddenly changed; the insulation fault factors are: the damp of the electric components of the whole vehicle; the insulation fault treatment measures are as follows: and (5) checking the high-voltage electrical appliance elements and performing waterproof treatment.
And the third condition, the insulation fault parameter data and the insulation fault parameter change data are as follows: the fuel cell is in an operating state, and the temperature of the fuel cell is higher or the temperature change is larger; the insulation fault factors are: internal temperature abnormality of the fuel cell; the insulation fault treatment measures are as follows: the fuel cell temperature control logic program is optimized.
And fourthly, the insulation fault parameter data and the insulation fault parameter change data are as follows: the fuel cell is in an operating state, and the conductivity of the cooling liquid exceeds the standard or the conductivity changes greatly; the insulation fault factors are: abnormal conductivity of the cooling liquid; the insulation fault treatment measures are as follows: the deionization tank or the cooling liquid is replaced.
It should be noted that the above-mentioned various cases may occur singly or in combination, and are not specifically limited in the embodiments of the present application.
For further explanation and limitation, in the embodiment of the present application, before determining the insulation fault factor and the insulation fault handling measure matched with the target object based on the insulation fault identification matrix established in advance, the method in the embodiment further includes: acquiring the diagnosis information of the total solved historical insulation faults; and establishing a mapping relation among an insulation fault parameter change rule, insulation fault factors and insulation fault treatment measures based on historical insulation fault diagnosis information, and generating an insulation fault identification matrix.
It should be noted that the insulation fault identification matrix established by counting the total amount of solved historical insulation fault diagnosis information is a strong persuasive way, and the accuracy is greatly improved based on the diagnosis result of big data.
In a specific application scenario, an insulation fault diagnosis process, as shown in fig. 3, (1) after a vehicle is started, executing 310, that is, the VCU calculates insulation fault parameter change data dVI in real time, and stores the insulation fault parameter data VI, the insulation resistance value R, and the insulation fault parameter change data dVI in real time; (2) And executing a decision 31, when the insulation fault occurs at the time t, executing 311, namely, reading the insulation resistance value R (delta t), the insulation fault parameter data VI (delta t) and the insulation fault parameter change data dVI (delta t) in the time period from (t-delta t) to t by the VCU, and executing a decision 32. Otherwise, proceed to 310; (3) Executing a judgment 32, when all R (delta T) < Rlim, executing 321, namely inputting VI (T) and dVI (T) into the fault identification matrix I, comparing RI rules, and obtaining a mapping relation, otherwise executing 320 and 332, namely judging that the insulation resistance value is normal, outputting 'false alarm of an insulation monitor', and displaying on an instrument panel; (4) And (4) executing a judgment 33, when the rule identification is completed, the mapping relation exists, and 331 and 332 are executed, namely the corresponding fault reason CI and the corresponding processing measure MI are output and displayed on the instrument panel. Otherwise, there is no mapping relationship, and the execution 330, 332 outputs "structural or material factor cause" and displays on the dashboard.
An identification process of the insulation fault identification matrix is shown in fig. 4, wherein insulation fault parameter data VI = { EC, WC, WM }, insulation fault parameter variation data dVI = { dEC, dWC, dWM }, insulation resistance value R, insulation fault alarm threshold value Rlim, wherein EC is an electric control factor and includes a fuel cell state and a fuel cell power; WC is a working condition factor, including the environmental humidity; WM is a water management factor including fuel cell water temperature, fuel cell coolant conductivity. The insulation fault identification matrix I = { RI, CI, MI }, wherein RI is an insulation fault characterization data change rule, CI is an insulation fault factor, MI is an insulation fault handling measure, and the three are in a mapping relation, namely RI → CI → MI, VCU identifies insulation fault parameter data and insulation fault parameter change data of insulation faults, judges through the insulation fault identification matrix, outputs the insulation fault factor CI and the handling measure MI, and accordingly automatic diagnosis of insulation faults is achieved.
The application provides a method for diagnosing insulation faults, which comprises the steps of firstly, acquiring insulation resistance value data of a target object in real time; secondly, when the insulation resistance value data is monitored to be lower than a preset insulation resistance value threshold value and exceed a preset duration threshold value, outputting alarm prompt information of too low insulation resistance value; and finally, triggering an insulation fault diagnosis thread based on the alarm prompt information so as to perform insulation fault diagnosis on the target object, wherein the insulation fault diagnosis thread is generated according to a pre-established insulation fault identification matrix. Compared with the prior art, the method and the device have the advantages that the insulating tissue of the target object is monitored in real time, when the monitored value is lower than the preset insulating resistance value threshold value, the insulating fault diagnosis thread generated according to the insulating fault recognition matrix established in advance is triggered while the alarm information is output, so that the insulating fault diagnosis is carried out on the target object, the automatic diagnosis of the insulating fault is realized, the time consumed by a user for carrying out fault processing by workers is saved while the safety is ensured, the time cost and the labor cost consumed by troubleshooting are reduced, and the experience feeling of the user is improved.
Further, as an implementation of the method shown in fig. 1, an embodiment of the present application provides a system for diagnosing an insulation fault, as shown in fig. 5, where the system includes:
an acquisition module 41, an alarm module 42, and a diagnostic module 43.
The obtaining module 41 is configured to obtain insulation resistance value data of the target object in real time;
the warning module 42 is configured to output warning prompt information that the insulation resistance is too low when it is monitored that the insulation resistance data is lower than a preset insulation resistance threshold and exceeds a preset duration threshold;
and the diagnosis module 43 is configured to trigger an insulation fault diagnosis thread based on the alarm prompt information to perform insulation fault diagnosis on the target object, where the insulation fault diagnosis thread is generated according to a pre-established insulation fault identification matrix.
In a specific application scenario, the diagnosis module specifically includes:
the acquisition unit is used for acquiring a plurality of insulation resistance value data of the target object within a preset monitoring time before the current moment;
the judging unit is used for judging whether the insulation resistance data are all larger than the preset insulation resistance threshold value;
and the removing unit is used for outputting the prompt information of the false insulation monitoring and removing the alarm prompt information of the too low insulation resistance value if the insulation monitoring is false.
In a specific application scenario, the diagnostic module further includes:
the acquisition unit is further configured to, if not, acquire insulation fault parameter data of the target object within the preset monitoring duration, and determine insulation fault parameter change data of the target object within the preset monitoring duration according to the insulation fault parameter data;
and the output unit is used for determining and outputting insulation fault factors and insulation fault treatment measures matched with the target object according to the insulation fault parameter data and the insulation fault parameter change data based on the pre-established insulation fault identification matrix.
In a specific application scenario, the output unit is specifically configured to:
if the insulation fault parameter data and the insulation fault parameter change data accord with a preset insulation fault parameter change rule, determining an insulation fault factor and an insulation fault treatment measure matched with the target object based on the pre-established insulation fault identification matrix, and outputting the insulation fault factor and the insulation fault treatment measure;
and if the insulation fault parameter data and the insulation fault parameter change data do not accord with a preset insulation fault parameter change rule, outputting information of insulation faults caused by structural or material factors.
In a specific application scenario, before the output unit, the module further includes:
the acquisition unit is used for acquiring the historical insulation fault diagnosis information solved in full;
and the establishing unit is used for establishing a mapping relation among an insulation fault parameter change rule, an insulation fault factor and an insulation fault treatment measure based on the historical insulation fault diagnosis information and generating an insulation fault identification matrix.
In a specific application scenario, the insulation fault parameters include electrical control parameters, operating condition parameters, and water management parameters.
In a specific application scenario, the electric control parameters include a fuel cell state parameter and a fuel cell power parameter;
the working condition parameters comprise environmental humidity parameters;
the water management parameters include a fuel cell water temperature parameter and a fuel cell coolant conductivity parameter.
The application provides a system for diagnosing insulation faults, which comprises the steps of firstly, acquiring insulation resistance value data of a target object in real time; secondly, when the insulation resistance value data is monitored to be lower than a preset insulation resistance value threshold value and exceed a preset duration threshold value, outputting alarm prompt information of too low insulation resistance value; and finally, triggering an insulation fault diagnosis thread based on the alarm prompt information to perform insulation fault diagnosis on the target object, wherein the insulation fault diagnosis thread is generated according to a pre-established insulation fault identification matrix. Compared with the prior art, the method and the device have the advantages that the insulating tissue of the target object is monitored in real time, when the monitored value is lower than the preset insulating resistance value threshold value, the insulating fault diagnosis thread generated according to the insulating fault recognition matrix established in advance is triggered while the alarm information is output, so that the insulating fault diagnosis is carried out on the target object, the automatic diagnosis of the insulating fault is realized, the time consumed by a user for carrying out fault processing by workers is saved while the safety is ensured, the time cost and the labor cost consumed by troubleshooting are reduced, and the experience feeling of the user is improved.
According to an embodiment of the present application, there is provided a storage medium storing at least one executable instruction, where the computer executable instruction may execute the method for diagnosing an insulation fault in any of the method embodiments described above.
Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the implementation scenarios of the present application.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application, where the specific embodiment of the present application does not limit a specific implementation of a terminal.
As shown in fig. 6, the terminal may include: a processor (processor) 502, a Communications Interface 504, a memory 506, and a communication bus 508.
Wherein: the processor 502, communication interface 504, and memory 506 communicate with one another via a communication bus 508.
A communication interface 504 for communicating with network elements of other devices, such as clients or other servers.
The processor 502 is configured to execute the program 510, and may specifically execute the relevant steps in the above-described insulation fault diagnosis method embodiment.
In particular, program 510 may include program code that includes computer operating instructions.
The processor 502 may be a central processing unit CPU, or an Application Specific Integrated Circuit ASIC (Application Specific Integrated Circuit), or one or more Integrated circuits configured to implement embodiments of the present Application. The terminal comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
A memory 506 for storing a program 510. The memory 506 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 510 may specifically be used to cause the processor 502 to perform the following operations:
acquiring insulation resistance value data of a target object in real time;
when the insulation resistance value data is monitored to be lower than a preset insulation resistance value threshold value and exceed a preset duration time threshold value, outputting alarm prompt information of too low insulation resistance value;
and triggering an insulation fault diagnosis thread based on the alarm prompt information to perform insulation fault diagnosis on the target object, wherein the insulation fault diagnosis thread is generated according to a pre-established insulation fault identification matrix.
The storage medium may further include an operating system and a network communication module. The operating system is a program of hardware and software resources of the physical device that manages the diagnosis of the insulation fault described above, and supports the operation of the information processing program and other software and/or programs. The network communication module is used for realizing communication among components in the storage medium and communication with other hardware and software in the information processing entity device.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.
The method and system of the present application may be implemented in a number of ways. For example, the methods and systems of the present application may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present application are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present application may also be embodied as a program recorded in a recording medium, the program including machine-readable instructions for implementing a method according to the present application. Thus, the present application also covers a recording medium storing a program for executing the method according to the present application.
It will be apparent to those skilled in the art that the modules or steps of the present application described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A method of diagnosing an insulation fault, comprising:
acquiring insulation resistance value data of a target object in real time;
when the insulation resistance value data is monitored to be lower than a preset insulation resistance value threshold value and exceed a preset duration time threshold value, outputting alarm prompt information of too low insulation resistance value;
and triggering an insulation fault diagnosis thread based on the alarm prompt information to perform insulation fault diagnosis on the target object, wherein the insulation fault diagnosis thread is generated according to a pre-established insulation fault identification matrix.
2. The method according to claim 1, wherein the triggering of the insulation fault diagnosis thread specifically includes:
acquiring a plurality of insulation resistance value data of the target object within a preset monitoring time before the current moment;
judging whether the insulation resistance value data are all larger than the preset insulation resistance value threshold value;
if so, outputting prompt information of false insulation monitoring alarm, and removing alarm prompt information of too low insulation resistance.
3. The method of claim 2, wherein the triggering an insulation fault diagnostic thread further comprises:
if not, acquiring insulation fault parameter data of the target object within the preset monitoring time length, and determining insulation fault parameter change data of the target object within the preset monitoring time length according to the insulation fault parameter data;
and determining an insulation fault factor and an insulation fault processing measure matched with the target object according to the insulation fault parameter data and the insulation fault parameter change data based on the pre-established insulation fault identification matrix, and outputting the insulation fault factor and the insulation fault processing measure.
4. The method according to claim 3, wherein the determining an insulation fault factor and an insulation fault handling measure matching the target object according to the insulation fault parameter data and the insulation fault parameter variation data specifically comprises:
if the insulation fault parameter data and the insulation fault parameter change data accord with a preset insulation fault parameter change rule, determining an insulation fault factor and an insulation fault treatment measure matched with the target object based on the pre-established insulation fault identification matrix, and outputting the insulation fault factor and the insulation fault treatment measure;
and if the insulation fault parameter data and the insulation fault parameter change data do not accord with a preset insulation fault parameter change rule, outputting information of insulation faults caused by structural or material factors.
5. The method of claim 4, wherein prior to determining the insulation fault factor and the insulation fault handling measure matching the target object based on the pre-established insulation fault identification matrix, the method further comprises:
acquiring the diagnosis information of the total solved historical insulation faults;
and establishing a mapping relation among an insulation fault parameter change rule, insulation fault factors and insulation fault treatment measures based on the historical insulation fault diagnosis information, and generating an insulation fault identification matrix.
6. The method according to any one of claims 1-5, wherein the insulation fault parameters include electrical control parameters, operating condition parameters, and water management parameters.
7. The method of claim 6, wherein the electrical control parameters include a fuel cell state parameter and a fuel cell power parameter;
the working condition parameters comprise environmental humidity parameters;
the water management parameters include a fuel cell water temperature parameter and a fuel cell coolant conductivity parameter.
8. An insulation fault diagnostic system, comprising:
the acquisition module is used for acquiring insulation resistance value data of a target object in real time;
the alarm module is used for outputting alarm prompt information that the insulation resistance value is too low when the insulation resistance value data is monitored to be lower than a preset insulation resistance value threshold value and exceeds a preset duration threshold value;
and the diagnosis module is used for triggering an insulation fault diagnosis thread based on the alarm prompt information so as to perform insulation fault diagnosis on the target object, wherein the insulation fault diagnosis thread is generated according to a pre-established insulation fault identification matrix.
9. A storage medium having at least one executable instruction stored therein, wherein the executable instruction causes a processor to perform operations corresponding to the insulation fault diagnosis method according to any one of claims 1 to 7.
10. An electronic device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction is used for causing the processor to execute the operation corresponding to the insulation fault diagnosis method according to any one of claims 1-7.
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| CN202211301803.1A CN115648943A (en) | 2022-10-24 | 2022-10-24 | Method and system for diagnosing insulation fault, storage medium and electronic device |
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| CN202211301803.1A CN115648943A (en) | 2022-10-24 | 2022-10-24 | Method and system for diagnosing insulation fault, storage medium and electronic device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115792386A (en) * | 2023-02-08 | 2023-03-14 | 广东采日能源科技有限公司 | Insulation detection method and system |
| CN117332740A (en) * | 2023-12-01 | 2024-01-02 | 武汉氢能与燃料电池产业技术研究院有限公司 | Fuel cell system insulation design method and device and electronic equipment |
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2022
- 2022-10-24 CN CN202211301803.1A patent/CN115648943A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115792386A (en) * | 2023-02-08 | 2023-03-14 | 广东采日能源科技有限公司 | Insulation detection method and system |
| CN117332740A (en) * | 2023-12-01 | 2024-01-02 | 武汉氢能与燃料电池产业技术研究院有限公司 | Fuel cell system insulation design method and device and electronic equipment |
| CN117332740B (en) * | 2023-12-01 | 2024-02-23 | 武汉氢能与燃料电池产业技术研究院有限公司 | Fuel cell system insulation design method and device and electronic equipment |
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