CN115981290A - Power plant fault self-processing method, device, equipment and storage medium - Google Patents
Power plant fault self-processing method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a power plant fault self-processing method, a device, equipment and a storage medium. The method comprises the following steps: acquiring measuring point information of on-site equipment; determining fault information according to the measuring point information of the on-site equipment; determining the fault type and the fault grade according to the fault information; generating a target instruction according to the fault type and the fault grade; the technical scheme of the invention can be compatible with various power plant control systems, realize closed-loop self-processing on power plant faults, further improve fault detection efficiency, adjust the running state of the on-site equipment, and reduce adverse consequences such as equipment damage, unit shutdown and the like caused by faults.
Description
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a power plant fault self-processing method, a device, equipment and a storage medium.
Background
The traditional power plant control system is only suitable for a single type of control system and cannot be compatible with other types of power plant control systems; when the power plant fault is diagnosed, fault information obtained by the fault diagnosis logic only aims at a single measuring point or single equipment, systematic judgment is not provided, and result information of server diagnosis is extremely simple, so that closed-loop fault processing cannot be formed, and further fault deterioration is caused.
Disclosure of Invention
The embodiment of the invention provides a power plant fault self-processing method, a device, equipment and a storage medium, which can be compatible with various power plant control systems, realize closed-loop self-processing on power plant faults, further improve fault detection efficiency, adjust the running state of on-site equipment, and reduce adverse consequences such as equipment damage, unit shutdown and the like caused by faults.
According to an aspect of the invention, a power plant fault self-processing method is provided, which comprises the following steps:
acquiring measuring point information of on-site equipment;
determining fault information according to the measuring point information of the on-site equipment;
determining the fault type and the fault grade according to the fault information;
generating a target instruction according to the fault type and the fault grade;
and sending the target instruction to a power plant control system so that the power plant control system sends the target instruction to on-site equipment.
According to another aspect of the present invention, there is provided a power plant fault self-processing device, including:
the acquisition module is used for acquiring the measuring point information of the on-site equipment;
the first determining module is used for determining fault information according to the measuring point information of the on-site equipment;
the second determining module is used for determining the fault type and the fault grade according to the fault information;
the generating module is used for generating a target instruction according to the fault type and the fault grade;
and the sending module is used for sending the target instruction to the power plant control system so that the power plant control system sends the target instruction to the local equipment.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the plant fault self-processing method of any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the power plant fault self-processing method according to any one of the embodiments of the present invention when executed.
According to the embodiment of the invention, the measuring point information of the on-site equipment is obtained; determining fault information according to the measuring point information of the on-site equipment; determining the fault type and the fault grade according to the fault information; generating a target instruction according to the fault type and the fault grade; the target instruction is sent to a power plant control system, so that the power plant control system sends the target instruction to on-site equipment, the problem that the power plant control system cannot be compatible is solved, the problem that fault information obtained by fault diagnosis logic only aims at a single measuring point or single equipment and is not systematically judged is also solved, the problem that the fault is worsened due to the fact that the server diagnosis result information is very simple and cannot form closed-loop fault treatment is solved, various power plant control systems can be compatible, closed-loop self-treatment of power plant faults is achieved, the fault detection efficiency is improved, the running state of the on-site equipment is adjusted, and adverse consequences such as equipment damage and unit halt caused by faults are reduced.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of a method for self-processing a power plant fault according to a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a power plant fault self-processing according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating execution of a target instruction by an in-place device according to one embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a power plant fault self-processing device according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device in a third embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It is understood that, before the technical solutions disclosed in the embodiments of the present disclosure are used, the user should be informed of the type, the use range, the use scene, etc. of the personal information related to the present disclosure in a proper manner according to the relevant laws and regulations and obtain the authorization of the user.
Example one
Fig. 1 is a flowchart of a power plant fault self-processing method in a first embodiment of the present invention, where this embodiment is applicable to a power plant fault self-processing situation, and the method may be executed by a power plant fault self-processing device in an embodiment of the present invention, where the device may be implemented in a software and/or hardware manner, as shown in fig. 1, the method specifically includes the following steps:
and S110, acquiring the measuring point information of the local equipment.
Fig. 2 is a schematic structural diagram of a power plant fault self-processing in an embodiment of the present invention, and as shown in fig. 2, the local device may obtain measurement point information in real time, where the measurement point information may include: at least one of the coal mill running state, the coal mill motor current, the coal feeder running state, the coal feeder motor current, the mill inlet air quantity, the mill outlet air speed, the mill outlet temperature and the mill bowl differential pressure. The on-site equipment sends real-time measuring point information to a power plant control system, an industrial communication interface can be established between the power plant control system and a fault grading self-processing system to support various communication protocols, such as OPC, MODBUS, TCP/IP and the like.
Specifically, the manner of acquiring the measurement point information of the on-site equipment may be as follows: the local equipment sends the measuring point information acquired in real time to a power plant control system, and the power plant control system sends the received measuring point information to a fault grading self-processing system, so that the fault grading self-processing system acquires the measuring point information of the local equipment.
And S120, determining fault information according to the measuring point information of the local equipment.
The fault information is specific fault condition information of the local equipment obtained through calculation and analysis according to the measuring point information of the local equipment.
Specifically, the method for determining the fault information according to the station information of the local equipment may be as follows: a fault model can be trained through historical measuring point information in advance, and the obtained measuring point information of the on-site equipment is input into the trained fault model to determine fault information; the measuring point data trend can be analyzed through the measuring point information of the local equipment obtained according to the continuous preset times, and the measuring point information of the local equipment is comprehensively judged according to the preset conditions and the measuring point data trend to determine the fault information.
Optionally, determining fault information according to the measuring point information of the on-site device includes:
and inputting the measuring point information of the on-site equipment into a target fault model to obtain fault information.
The target fault model can be obtained by iteratively training a neural network model through a target sample set, or can be obtained by iteratively training other models through the target sample set, which is not limited herein, wherein the target sample set can be a historically acquired measurement point information sample set and is used for training the target fault model.
It should be noted that there may be various situations according to the fault information obtained by obtaining the measurement point information of the on-site equipment, taking a coal mill as an example, after obtaining the measurement point information of the coal mill, the fault classification self-processing system may obtain faults such as a coal mill air door baffle blocking fault, a coal feeder coal breakage fault, a coal feeder belt slip fault, a coal mill coal blockage fault and the like through analysis, these faults often cannot be directly determined by the power plant control system, taking a coal mill coal blockage fault as an example, a target fault model may be established in the fault classification self-processing system, and the obtained measurement point information of the coal mill is input to the target fault model to obtain the fault information of the coal mill coal blockage.
And S130, determining the fault type and the fault grade according to the fault information.
The fault type can be determined by classifying historical fault information to determine a fault type table, and the fault type table is queried through the fault information to determine the fault type of the fault information; the failure level may be classified into three levels, for example, the failure level may be classified into three levels of warning, pre-adjustment, and accident handling.
Specifically, the method for determining the fault type and the fault level according to the fault information may be: the method comprises the steps that a fault type corresponding to fault information can be obtained by inquiring a fault information table or a fault database, wherein the fault information table comprises the fault information and the fault type corresponding to the fault information; the fault information can be used for acquiring information such as fault occurrence time length, fault severity information and fault deterioration state information, grading the fault and determining the fault grade.
Optionally, determining the fault level according to the fault information includes:
determining fault occurrence time length, fault severity information and fault deterioration state information according to the fault information;
and determining the fault grade according to the fault occurrence time length, the fault severity information and the fault deterioration state information.
It should be noted that the longer the fault occurs, the more the higher the level of the fault is. The severity of the fault is mainly the offset of the parameter value under the observation normal state and the parameter value of the current fault, and the higher the offset is, the higher the severity is. The fault deterioration information is determined according to the trend of parameter deviation in the fault severity, the more serious the deviation trend is, the more serious the fault deterioration information is, and the fault deterioration information can also be determined by a preset fault deterioration range, and it is determined that the fault is deteriorated if the deviation trend exceeds the preset deterioration range, and it is determined that the fault is not deteriorated if the deviation trend does not exceed the preset deterioration range.
Specifically, the method for determining the fault occurrence duration, the fault severity information, and the fault deterioration state information according to the fault information may be: determining the time length information of the current fault from the normal working condition to the abnormal working condition according to the fault information, and determining the fault occurrence time length according to the time length information from the normal working condition to the abnormal working condition; determining a target parameter according to the fault information, and determining fault severity information according to a difference value between the target parameter and a preset parameter, wherein the target parameter can be a relevant parameter which can be determined according to the fault information and can be used for determining the fault severity, the preset parameter can be a numerical value of a relevant parameter which can be determined according to the preset fault severity, the fault severity information is determined according to the difference value between the target parameter and the preset parameter, and the larger the difference value is, the deeper the fault severity is; and, the fault deterioration state information may be determined by a variation trend of the difference value of the target parameter and the preset parameter.
Specifically, the method for determining the fault level according to the fault occurrence time, the fault severity information, and the fault deterioration state information may be: the method can query a fault level information table according to the acquired fault occurrence time, the fault severity information and the fault deterioration state information, and acquire fault levels corresponding to the fault occurrence time, the fault severity information and the fault deterioration state information, wherein the fault level information table comprises the following steps: the fault occurrence time, fault severity information, fault deterioration status information, and fault level.
Optionally, determining the fault level according to the fault occurrence duration, the fault severity information, and the fault deterioration state information includes:
if the fault occurrence time length is less than or equal to the time length threshold value, the fault degree information is less than or equal to the first deviation threshold value, and the fault deterioration state information is that the fault is not deteriorated, determining that the fault grade is a first grade;
if the fault occurrence time length is greater than the time length threshold value, the fault degree information is less than or equal to the first deviation threshold value, and the fault deterioration state information is that the fault is not deteriorated, determining that the fault grade is a second grade;
if the fault degree information is less than or equal to the first deviation threshold value and the fault deterioration state information is that the fault is deteriorated, determining that the fault level is a second level;
and if the fault degree information is greater than the first deviation threshold value, determining that the fault grade is a third grade.
Wherein the fault level may be divided into three levels, the first level may be the lowest level, e.g., the first level may be an alarm; the second level may be a medium level, e.g., the second level may be pre-adjusted; the third level may be the highest level, for example, the third level may be incident handling.
The duration threshold and the first deviation threshold can be preset according to historical data.
If the fault occurrence time length is longer than the time length threshold value, the fault occurrence time length is too long; if the fault degree information is larger than the first deviation threshold value, the fault occurrence severity degree is heavier. For example, if the current fault belongs to a coal blockage fault of a coal mill, the occurrence time of the current fault is short and is less than or equal to a time threshold, the fault degree information is less than or equal to a first deviation threshold, and the fault deterioration state information indicates that the fault is not deteriorated, determining that the fault level of the current fault is a first level; if the coal blockage fault of the coal mill is the same, the current fault occurrence time is longer and is larger than a time threshold, the fault degree information is smaller than or equal to a first deviation threshold, and the fault deterioration state information is that the fault is not deteriorated, the fault grade of the fault is determined to be a second grade; if the coal blockage fault of the coal mill is the same, but the fault degree information is smaller than or equal to the first deviation threshold value, and the fault deterioration state information is that the fault is deteriorated, determining that the fault grade of the current fault is a second grade; and if the coal blockage fault of the coal mill is the same, but the fault degree information is greater than the first deviation threshold value, determining that the fault grade of the current fault is a third grade.
And S140, generating a target instruction according to the fault type and the fault level.
The target instruction is a corresponding instruction determined according to the acquired fault type and fault level, for example, the target instruction may be an accident handling instruction or a pre-adjustment instruction, and taking a coal blockage fault of a coal pulverizer as an example, the accident handling instruction may include: starting a standby coal mill instruction and/or adjusting coal quantity instructions of each coal mill; the pre-adjustment instructions may include: at least one of a decrease coal amount command, an increase damper opening command, and a modify AGC offset command.
Specifically, the manner of generating the target instruction according to the fault type and the fault level may be: a target instruction information table may be preset in advance, the target instruction information table including: and inquiring a target instruction information table according to the acquired fault type and fault level, and acquiring the target instruction corresponding to the fault type and fault level. The method for generating the target instruction according to the fault type and the fault level can also be as follows: and training an instruction model according to the historical fault type, the historical fault grade and the historical target instruction, and inputting the acquired fault type and fault grade into the instruction model to obtain the corresponding target instruction.
And S150, sending the target instruction to the power plant control system so that the power plant control system sends the target instruction to the local equipment.
It should be noted that when the target instruction is sent to the power plant control system, since the point measurement information of the local device may trigger multiple fault information to generate multiple instructions, the priority may be preset in advance, and the target instruction is sent with priority. If control instructions such as protection instructions and interlocking instructions exist in a power plant control system, when other target instructions are added, all the instructions need to be sequenced according to preset priorities, for example, coal blockage faults of a coal mill, if the instructions are pre-adjustment instructions, such as instructions for increasing the opening degree of a hot air baffle, the priority of the instructions for increasing the opening degree of the hot air baffle is higher than an instruction automatically given by the control of the opening degree of the hot air baffle, but the priority of the instructions for increasing the opening degree of the hot air baffle is lower than a protection closing instruction of the hot air baffle.
Specifically, the manner of sending the target instruction to the power plant control system so that the power plant control system sends the target instruction to the on-site device may be: and the fault grading self-processing system sends the determined target instruction to the power plant control system according to the priority so that the power plant control system sends the target instruction to the on-site equipment, and the on-site equipment executes corresponding operation after receiving the target instruction to process the fault state so as to form power plant system fault closed-loop processing.
Optionally, the target instruction is sent to the power plant control system, so that the power plant control system sends the target instruction to an on-site device, including:
and sending the target instruction to a power plant control system so that the power plant control system sends the target instruction to on-site equipment when a first preset condition is met, wherein the first preset condition comprises the following steps: protection instructions aiming at on-site equipment do not exist in the power plant control system, and the target instructions are accident handling instructions.
It should be noted that protection instructions for the on-site equipment should be present in the plant control system itself.
Specifically, the method for sending the target instruction to the power plant control system so that the power plant control system sends the target instruction to the local equipment when a first preset condition is met may be: the fault classification self-processing system sends the target instruction to a power plant control system so that the power plant control system judges whether the system contains a protection instruction for the on-site equipment or not, if the protection instruction for the on-site equipment does not exist and the received target instruction is an accident processing instruction, the target instruction is sent to the on-site equipment, and the on-site equipment executes corresponding operation according to the received target instruction; if there are protection instructions for the on-site equipment, the power plant control system need not send the target instructions to the on-site equipment.
Optionally, the target instruction is sent to the power plant control system, so that the power plant control system sends the target instruction to an on-site device, including:
and sending the target instruction to a power plant control system so that the power plant control system sends the target instruction to on-site equipment when a second preset condition is met, wherein the second preset condition comprises: protection instructions and interlocking instructions aiming at on-site equipment do not exist in the power plant control system, and the target instructions are pre-adjustment instructions.
It should be noted that protection commands and interlock commands for the local equipment are present in the plant control system itself.
Specifically, the manner of sending the target instruction to the power plant control system so that the power plant control system sends the target instruction to the on-site device when a second preset condition is met may be: the fault classification self-processing system sends the target instruction to a power plant control system so that the power plant control system judges whether the system contains a protection instruction and an interlocking instruction aiming at the on-site equipment, if the protection instruction and the interlocking instruction aiming at the on-site equipment do not exist and the received target instruction is a pre-adjustment instruction, the target instruction is sent to the on-site equipment, and the on-site equipment executes corresponding operation according to the received target instruction; if protection instructions and interlocking instructions exist for the on-site equipment, the power plant control system does not need to send target instructions to the on-site equipment.
In a specific example, fig. 3 is a flowchart of an on-site device executing a target instruction according to an embodiment of the present invention, and as shown in fig. 3, after the power plant control system receives the target instruction, the power plant control system determines whether a protection instruction for the on-site device is included in the power plant control system, if the protection instruction for the on-site device exists, the power plant control system stops sending the target instruction to the on-site device, and waits for the next time when the power plant control system receives the target instruction, it determines whether the protection instruction for the on-site device is included again, if the protection instruction for the on-site device does not exist, and the target instruction is an accident handling instruction, the power plant control system sends the target instruction to the on-site device, and the on-site device executes the accident handling instruction; if the protection instruction aiming at the on-site equipment does not exist and the target instruction is not an accident handling instruction, judging whether an interlocking instruction aiming at the on-site equipment exists in the power plant control system or not, if the interlocking instruction aiming at the on-site equipment exists, stopping sending the target instruction to the on-site equipment by the power plant control system, judging whether the protection instruction and the interlocking instruction aiming at the on-site equipment exist again when waiting for the next time when the power plant control system receives the target instruction, if the protection instruction and the interlocking instruction aiming at the on-site equipment do not exist, the target instruction is not the accident handling instruction, the target instruction is a pre-adjusting instruction, sending the target instruction to the on-site equipment by the power plant control system, and executing the pre-adjusting instruction by the on-site equipment.
Optionally, after sending the target instruction to the power plant control system, the method further includes:
acquiring measuring point information of on-site equipment;
obtaining an evaluation result corresponding to the measuring point information;
if the evaluation result corresponding to the measuring point information is a forward evaluation result, updating a first sample set according to the measuring point information;
and if the evaluation result corresponding to the measuring point information is a reverse evaluation result, sending the measuring point information to a target terminal.
It should be noted that after the target instruction is sent to the power plant control system, the power plant control system sends the target instruction to the local device, and after the local device completes execution of the target instruction, the fault classification self-processing system needs to further record the measurement point information of the local device, and evaluate the measurement point information of the local device.
The forward evaluation result is given if the fault state is eliminated or reduced after the local equipment executes the target instruction; and the reverse evaluation result is given if the fault state is not eliminated or alleviated after the local equipment executes the target instruction. The first sample set can be used for training the evaluation model, the measuring point information is input into the evaluation model, and the evaluation result corresponding to the measuring point information can be obtained. The target terminal can be a human being, a processing terminal and an operator.
Specifically, the measuring point information of the on-site device may be acquired by: after the local equipment executes the target instruction, the local equipment sends the real-time measuring point information to the power plant control system again, and the power plant control system sends the measuring point information to the fault grading self-processing system.
Specifically, the manner of obtaining the evaluation result corresponding to the measurement point information may be: the fault grading self-processing system judges whether the current fault state is eliminated or reduced according to the acquired measuring point information, an evaluation result is acquired according to the current fault state, and if the fault state is eliminated or reduced, the evaluation result corresponding to the measuring point information is a forward evaluation result; and if the fault state is not eliminated or reduced, the evaluation result corresponding to the measuring point information is a reverse evaluation result. The manner of obtaining the evaluation result corresponding to the measuring point information may also be: and inputting the measuring point information into the trained evaluation model, and outputting an evaluation result corresponding to the measuring point information.
Specifically, if the evaluation result corresponding to the measurement point information is a forward evaluation result, the manner of updating the first sample set according to the measurement point information may be as follows: if the evaluation result corresponding to the measuring point information is a forward evaluation result, the first sample set can be updated according to the measuring point information corresponding to the forward evaluation result, the first sample set is supplemented, the evaluation model training is continued, and then the evaluation model is updated.
Specifically, if the evaluation result corresponding to the measurement point information is a reverse evaluation result, the manner of sending the measurement point information to the target terminal may be: if the evaluation result corresponding to the measuring point information is a reverse evaluation result, the measuring point information is pushed to be sent to the target terminal, and the target terminal adjusts the fault processing program, for example, carries out shielding or correction.
According to the technical scheme of the embodiment, the measuring point information of the on-site equipment is obtained; determining fault information according to the measuring point information of the on-site equipment; determining the fault type and the fault grade according to the fault information; generating a target instruction according to the fault type and the fault grade; the target instruction is sent to a power plant control system, so that the power plant control system sends the target instruction to on-site equipment, the problem that the power plant control system cannot be compatible is solved, the problem that fault information obtained by fault diagnosis logic only aims at a single measuring point or single equipment and does not have systematic judgment is also solved, the problem that the fault deterioration is caused due to the fact that the result information of server diagnosis is very simple and cannot form closed-loop fault treatment is solved, various power plant control systems can be compatible, closed-loop self-treatment on power plant faults is achieved, the fault detection efficiency is improved, the running state of the on-site equipment is adjusted, and adverse consequences such as equipment damage and unit halt caused by faults are reduced.
Example two
Fig. 4 is a schematic structural diagram of a power plant fault self-processing device according to a second embodiment of the present invention. The embodiment can be applied to the self-processing of the power plant fault, the device can be implemented in a software and/or hardware manner, and the device can be integrated in any equipment providing the self-processing function of the power plant fault, as shown in fig. 4, the self-processing device of the power plant fault specifically includes: an obtaining module 210, a first determining module 220, a second determining module 230, a generating module 240, and a sending module 250.
The obtaining module 210 is configured to obtain measurement point information of the local device;
the first determining module 220 is used for determining fault information according to the measuring point information of the on-site equipment;
a second determining module 230, configured to determine a fault type and a fault level according to the fault information;
a generating module 240, configured to generate a target instruction according to the fault type and the fault level;
and a sending module 250, configured to send the target instruction to the power plant control system, so that the power plant control system sends the target instruction to an on-site device.
Optionally, the second determining module is specifically configured to:
determining fault occurrence time length, fault severity information and fault deterioration state information according to the fault information;
and determining the fault grade according to the fault occurrence time length, the fault severity information and the fault deterioration state information.
Optionally, the sending module is further configured to:
acquiring measuring point information of on-site equipment;
obtaining an evaluation result corresponding to the measuring point information;
if the evaluation result corresponding to the measuring point information is a forward evaluation result, updating a first sample set according to the measuring point information;
and if the evaluation result corresponding to the measuring point information is a reverse evaluation result, sending the measuring point information to a target terminal.
Optionally, the second determining module is specifically configured to:
if the fault occurrence time length is less than or equal to the time length threshold value, the fault degree information is less than or equal to the first deviation threshold value, and the fault deterioration state information is that the fault is not deteriorated, determining that the fault grade is a first grade;
if the fault occurrence time length is greater than the time length threshold value, the fault degree information is less than or equal to the first deviation threshold value, and the fault deterioration state information is that the fault is not deteriorated, determining that the fault grade is a second grade;
if the fault degree information is less than or equal to the first deviation threshold value and the fault deterioration state information is that the fault is deteriorated, determining that the fault level is a second level;
and if the fault degree information is greater than the first deviation threshold value, determining that the fault grade is a third grade.
Optionally, the sending module is specifically configured to:
sending the target instruction to a power plant control system so that the power plant control system sends the target instruction to an on-site device when a first preset condition is met, wherein the first preset condition comprises: protection instructions aiming at on-site equipment do not exist in the power plant control system, and the target instructions are accident handling instructions.
Optionally, the sending module is specifically configured to:
and sending the target instruction to a power plant control system so that the power plant control system sends the target instruction to on-site equipment when a second preset condition is met, wherein the second preset condition comprises: protection instructions and interlocking instructions aiming at on-site equipment do not exist in the power plant control system, and the target instructions are pre-adjustment instructions.
Optionally, the first determining module is specifically configured to:
and inputting the measuring point information of the on-site equipment into a target fault model to obtain fault information.
The product can execute the method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
Fig. 5 is a schematic structural diagram of an electronic device in a third embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM12, and the RAM13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
In some embodiments, the plant fault self-processing method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM12 and/or the communication unit 19. When the computer program is loaded into RAM13 and executed by processor 11, one or more steps of the plant fault self-treatment method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the plant fault self-processing method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the Internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A power plant fault self-processing method is characterized by comprising the following steps:
acquiring measuring point information of on-site equipment;
determining fault information according to the measuring point information of the on-site equipment;
determining the fault type and the fault grade according to the fault information;
generating a target instruction according to the fault type and the fault grade;
and sending the target instruction to a power plant control system so that the power plant control system sends the target instruction to on-site equipment.
2. The method of claim 1, wherein determining a fault level based on the fault information comprises:
determining fault occurrence time length, fault severity information and fault deterioration state information according to the fault information;
and determining the fault grade according to the fault occurrence time length, the fault severity information and the fault deterioration state information.
3. The method of claim 2, after sending the target command to a plant control system, further comprising:
acquiring measuring point information of on-site equipment;
obtaining an evaluation result corresponding to the measuring point information;
if the evaluation result corresponding to the measuring point information is a forward evaluation result, updating a first sample set according to the measuring point information;
and if the evaluation result corresponding to the measuring point information is a reverse evaluation result, sending the measuring point information to a target terminal.
4. The method of claim 2, wherein determining the fault level based on the fault occurrence time, the fault severity information, and the fault degradation status information comprises:
if the fault occurrence time length is less than or equal to the time length threshold value, the fault degree information is less than or equal to the first deviation threshold value, and the fault deterioration state information is that the fault is not deteriorated, determining that the fault grade is a first grade;
if the fault occurrence time length is greater than the time length threshold value, the fault degree information is less than or equal to the first deviation threshold value, and the fault deterioration state information is that the fault is not deteriorated, determining that the fault grade is a second grade;
if the fault degree information is less than or equal to the first deviation threshold value and the fault deterioration state information is that the fault is deteriorated, determining that the fault level is a second level;
and if the fault degree information is greater than the first deviation threshold value, determining that the fault grade is a third grade.
5. The method of claim 4, wherein sending the target command to a plant control system to cause the plant control system to send the target command to an on-site device comprises:
sending the target instruction to a power plant control system so that the power plant control system sends the target instruction to an on-site device when a first preset condition is met, wherein the first preset condition comprises: protection instructions aiming at on-site equipment do not exist in the power plant control system, and the target instructions are accident handling instructions.
6. The method of claim 4, wherein sending the target command to a plant control system to cause the plant control system to send the target command to an on-site device comprises:
and sending the target instruction to a power plant control system so that the power plant control system sends the target instruction to on-site equipment when a second preset condition is met, wherein the second preset condition comprises: protection instructions and interlocking instructions aiming at on-site equipment do not exist in the power plant control system, and the target instructions are pre-adjustment instructions.
7. The method of claim 1, wherein determining fault information from site information of the in-situ plant comprises:
and inputting the measuring point information of the on-site equipment into a target fault model to obtain fault information.
8. A power plant fault self-processing device, comprising:
the acquisition module is used for acquiring the measuring point information of the on-site equipment;
the first determining module is used for determining fault information according to the measuring point information of the on-site equipment;
the second determining module is used for determining the fault type and the fault grade according to the fault information;
the generating module is used for generating a target instruction according to the fault type and the fault grade;
and the sending module is used for sending the target instruction to a power plant control system so that the power plant control system sends the target instruction to on-site equipment.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the plant fault self-processing method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions for causing a processor to implement the power plant fault self-processing method of any one of claims 1-7 when executed.
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