CN113408104B - Method and device for calculating real-time hydrogen leakage rate of generator - Google Patents

Method and device for calculating real-time hydrogen leakage rate of generator Download PDF

Info

Publication number
CN113408104B
CN113408104B CN202110563311.9A CN202110563311A CN113408104B CN 113408104 B CN113408104 B CN 113408104B CN 202110563311 A CN202110563311 A CN 202110563311A CN 113408104 B CN113408104 B CN 113408104B
Authority
CN
China
Prior art keywords
gas
time
sampling
pressure
period
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110563311.9A
Other languages
Chinese (zh)
Other versions
CN113408104A (en
Inventor
王公展
尚宪和
费志松
应黎明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CNNC Nuclear Power Operation Management Co Ltd
Qinshan Nuclear Power Co Ltd
Original Assignee
CNNC Nuclear Power Operation Management Co Ltd
Qinshan Nuclear Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by CNNC Nuclear Power Operation Management Co Ltd, Qinshan Nuclear Power Co Ltd filed Critical CNNC Nuclear Power Operation Management Co Ltd
Priority to CN202110563311.9A priority Critical patent/CN113408104B/en
Publication of CN113408104A publication Critical patent/CN113408104A/en
Application granted granted Critical
Publication of CN113408104B publication Critical patent/CN113408104B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/12Timing analysis or timing optimisation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E30/00Energy generation of nuclear origin

Abstract

The disclosure belongs to the technical field of nuclear power, and particularly relates to a method and a device for calculating a real-time leakage rate of hydrogen of a generator. The method can realize the real-time calculation of the gas leakage rate of a plurality of time intervals by respectively calculating the gas leakage rate of each sub-time interval in the preset time interval, and in addition, the method takes the actual pressure correction increased value of the cooling system brought by the hydrogen supplement into the calculation factor of the hydrogen real-time leakage rate of the generator, therefore, the error caused by the change of the gas pressure in the cooling system when the sub-period spans the hydrogenation period can be effectively reduced, therefore, the accuracy of the gas leakage rate at each sampling moment can be guaranteed, the calculation time interval of the real-time hydrogen leakage rate of the generator can be no longer limited between two times of hydrogenation, the historical trend change of the gas leakage rate of the cooling system can be reflected more sensitively and accurately, the gas leakage rate comparability at each sampling moment is strong, and monitoring personnel can find the abnormal rise of the hydrogen leakage rate in time.

Description

Method and device for calculating real-time hydrogen leakage rate of generator
Technical Field
The invention belongs to the technical field of power plants, and particularly relates to a method and a device for calculating a real-time leakage rate of hydrogen of a generator.
Background
The hydrogen or other gases in the cooling system of the large-scale hydrogen cooling generator set of the power plant have trace gas leakage under certain allowable conditions due to the complexity of the system, and the pressure of the system can continuously drop due to the leakage, and the normal operation of the system can be maintained only by supplementing gas when the pressure drops to a certain degree. In view of this, it is necessary to calculate and monitor the leak rate and sometimes find an abnormality in the leak rate. The standard leak rate calculation method in the related art is only suitable for calculating the discontinuous leak rate after each air supplement. The abnormal change of the leakage rate cannot be accurately reflected, and the monitoring personnel cannot find problems in time, so that the gas leakage rate of the cooling system needs to be accurately calculated in real time urgently.
Disclosure of Invention
In order to overcome the problems in the related art, a method and a device for calculating the real-time hydrogen leakage rate of the generator are provided.
According to an aspect of the embodiments of the present disclosure, there is provided a method for calculating a real-time hydrogen leakage rate of a generator, the method including:
determining a gas supplementing time period within a preset time period, wherein the gas supplementing time period is a time period for supplementing hydrogen to a cooling system of a hydrogen cooling generator set;
determining a pressure correction added value according to the gas pressure, the gas temperature and the atmospheric pressure collected before and after the gas supplementing time period, wherein the gas pressure is the pressure of the gas in the cooling system, the gas temperature is the temperature of the gas in the cooling system, and the atmospheric pressure is the atmospheric pressure of the environment where the cooling system is located;
aiming at each sampling moment in the preset time period, the following operations are carried out to obtain the gas leakage rate corresponding to each sampling moment:
taking the sampling time before the preset time length of the sampling time as a calculation starting time, and taking the time period between the calculation starting time and the sampling time as a sub-time period corresponding to the sampling time, wherein the preset time length is far longer than the time length of the air supply time period;
if the sub-time interval is not coincident with the gas supplementing time interval, determining the gas leakage rate corresponding to the sampling time according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the initial calculation time, and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling time;
and if the sub-period coincides with the gas supplementing period, taking a superposition result of the gas pressure acquired at the calculation starting moment and the pressure correction added value as an updated gas pressure, and determining the gas leakage rate corresponding to the sampling moment according to the updated gas pressure, the gas temperature and the atmospheric pressure acquired at the calculation starting moment, and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment.
In one possible implementation, the determining the gas supply period within the preset period includes:
in the preset time period, if the gas pressure acquired at a plurality of continuous sampling moments is sequentially and continuously increased, taking the earliest sampling moment in the plurality of continuous sampling moments as the starting moment of the gas supplementing time period;
and in the preset time period, if the gas pressure acquired at a sampling moment after the starting moment is lower than the gas pressure acquired at a sampling moment before the sampling moment, taking the sampling moment as the ending moment of the gas supplementing time period.
In a possible implementation manner, determining a pressure correction increase value according to the gas pressure, the gas temperature, and the atmospheric pressure collected before and after the gas supplementing time period includes:
and determining the pressure correction increase value according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment immediately before the air supplementing time period and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment immediately after the air supplementing time period.
In one possible implementation, the method further includes:
and in the preset time period, if the gas leakage rate corresponding to the sampling moment exceeds a preset threshold value, executing prompt operation, wherein the prompt operation is used for prompting the sealing operation of the cooling system.
According to another aspect of the embodiments of the present disclosure, there is provided an apparatus for calculating a real-time hydrogen leakage rate of a power generator, the apparatus including:
the first determination module is used for determining a gas supplementing time period within a preset time period, wherein the gas supplementing time period is a time period for supplementing hydrogen to a cooling system of a hydrogen cooling generator set;
the second determining module is used for determining a pressure correction increase value according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the moment before and after the gas supplementing time period, wherein the gas pressure is the pressure of the gas in the cooling system, the gas temperature is the temperature of the gas in the cooling system, and the atmospheric pressure is the atmospheric pressure of the environment where the cooling system is located;
a third determining module, configured to perform the following operations for each sampling time within the preset time period, to obtain a gas leakage rate corresponding to each sampling time:
taking the sampling time before the preset time length of the sampling time as a calculation starting time, and taking the time period between the calculation starting time and the sampling time as a sub-time period corresponding to the sampling time, wherein the preset time length is far longer than the time length of the air supply time period;
if the sub-time interval is not coincident with the gas supplementing time interval, determining the gas leakage rate corresponding to the sampling time according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the initial calculation time, and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling time;
if the sub-period coincides with the air supplementing period, the superposition result of the gas pressure acquired at the calculation starting moment and the pressure correction added value is used as the updated gas pressure, and the gas leakage rate corresponding to the sampling moment is determined according to the updated gas pressure, the gas temperature and the atmospheric pressure acquired at the calculation starting moment, and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment.
In one possible implementation manner, the first determining module includes:
the first determining submodule is used for taking the earliest sampling moment in a plurality of continuous sampling moments as the starting moment of the gas supplementing period if the gas pressure acquired at the continuous sampling moments is sequentially and continuously increased in the preset period;
and the second determining submodule is used for taking the sampling time as the ending time of the gas supplementing time interval if the gas pressure acquired at a certain sampling time after the starting time is lower than the gas pressure acquired at a sampling time before the sampling time in the preset time interval.
In one possible implementation manner, the second determining module includes:
and the third determining submodule is used for determining the pressure correction increase value according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment immediately before the air supplementing time period and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment immediately after the air supplementing time period.
In one possible implementation, the apparatus further includes:
and the prompting module is used for executing prompting operation if the gas leakage rate corresponding to the sampling moment exceeds a preset threshold value in the preset time period, wherein the prompting operation is used for prompting the sealing operation of the cooling system.
According to another aspect of the embodiments of the present disclosure, there is provided a device for calculating a real-time hydrogen leakage rate of a generator, the device including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method described above.
According to another aspect of embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described method.
The beneficial effect of this disclosure lies in: the method divides the preset time period containing the gas supplementing time period into a plurality of sub-time periods, and respectively calculates the gas leakage rate of each sub-time period, thereby realizing the real-time calculation of the gas leakage rate of the plurality of time periods across the time period for supplementing hydrogen, and in addition, the method considers the actual pressure correction added value of the cooling system brought by supplementing hydrogen into the calculation factor of the real-time leakage rate of the hydrogen of the generator, thereby effectively reducing the deviation of the supplementing hydrogen in the sub-time periods to the gas pressure change in the cooling system, therefore, the method not only can ensure the accuracy of the gas leakage rate of each sampling time, but also can ensure that the calculation time period of the real-time leakage rate of the hydrogen of the generator is not limited between two times of hydrogenation, can more sensitively and accurately reflect the historical trend change of the gas leakage rate of the cooling system, and has strong comparability of the gas rate of each sampling time, the monitoring personnel can find the abnormal rise of the hydrogen leakage amount in time, and the safe operation of the nuclear power station is maintained.
Drawings
Fig. 1 is a flow chart illustrating a method for calculating a real-time hydrogen leakage rate of a generator according to an exemplary embodiment.
Fig. 2 is a schematic diagram showing a calculation result of a method for calculating a hydrogen real-time leakage rate of a generator according to an application example.
Fig. 3 is a block diagram illustrating a generator hydrogen real-time leakage rate calculation device according to an exemplary embodiment.
Fig. 4 is a block diagram illustrating a generator hydrogen real-time leakage rate calculation device according to an exemplary embodiment.
Detailed Description
The invention is further described in detail below with reference to the drawings and specific embodiments.
Fig. 1 is a flow chart illustrating a method for calculating a real-time hydrogen leakage rate of a generator according to an exemplary embodiment. The method can be applied to a terminal device, the terminal device can be, for example, a personal computer, a server, etc., the pump disclosure does not limit the type of the terminal device, as shown in fig. 1, and the method includes:
step 100, determining an air supplementing time period within a preset time period, wherein the air supplementing time period is a time period for supplementing hydrogen to a cooling system of a hydrogen cooling generator set;
as an example of this embodiment, step 100 includes:
in the preset time period, if the gas pressure acquired at a plurality of continuous sampling moments is sequentially and continuously increased, taking the earliest sampling moment in the plurality of continuous sampling moments as the starting moment of the gas supplementing time period;
and in the preset time period, if the gas pressure acquired at a certain sampling moment after the starting moment is lower than the gas pressure acquired at a sampling moment before the sampling moment, taking the sampling moment as the ending moment of the gas supplementing time period.
Step 101, determining a pressure correction added value according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the moment before and after the gas supplementing time period, wherein the gas pressure is the pressure of the gas in the cooling system, the gas temperature is the temperature of the gas in the cooling system, and the atmospheric pressure is the atmospheric pressure of the environment where the cooling system is located;
as an example of this embodiment, step 101 includes:
and determining the pressure correction increase value according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment immediately before the air supplementing time period and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment immediately after the air supplementing time period.
For example, the pressure correction increment due to the air supply period can be determined according to equation one.
Figure BDA0003079905770000061
Wherein, the delta P is a pressure correction increasing value, P 1 The pressure of the gas (in KPa (G)) acquired at the sampling time immediately before the gas supply period 1 The gas temperature (in DEG C) collected at the sampling moment immediately before the gas supplementing time period is B 1 Atmospheric pressure (in KPa (A)) acquired at a sampling time immediately before the gas supply period 2 The pressure of the gas (in KPa (G)) acquired at the sampling time immediately after the gas supply time interval 2 Gas collected for a sampling time immediately after the gas replenishment periodTemperature (in degrees C.), B 2 And correcting the hydrogen pressure of each sampling point in the adjacent interval to the atmospheric pressure acquired at the sampling moment immediately after the gas supplementing time interval by using the increased value (the unit is KPa (A)).
102, aiming at each sampling moment in the preset time period, performing the following operations to obtain the gas leakage rate corresponding to each sampling moment: wherein step 102 may include:
step 1020, taking the sampling time before the preset duration of the sampling time as a calculation starting time, and taking a time period between the calculation starting time and the sampling time as a sub-time period corresponding to the sampling time, wherein the preset duration is far longer than the duration of the gas supplementing time period; for example, the preset time period may be 8 hours, and the air supplement period may have a time period of 0.25 hours.
Step 1021, if the sub-period is not coincident with the gas supplementing period, determining a gas leakage rate corresponding to the sampling time according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the calculation starting time, and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling time;
for example, if it is determined that the ending time of the sub-period is earlier than the starting time of the air supplement period, or the starting time of the sub-period is later than the ending time of the air supplement period, it may be determined that the sub-period and the air supplement period do not coincide with each other. In this case, the operation of supplying hydrogen does not affect the gas pressure in the sub-period, and the actually measured gas pressure value can be used for calculation. For example, the gas leakage rate at the sampling time can be calculated according to equation two:
Figure BDA0003079905770000071
where Δ V is the gas leakage (in m) per 24 hours corresponding to the sampling time in a given state 3 24h), the atmospheric pressure P0-101.3 KPa (A) in the given state, the absolute atmospheric temperature T0-293K in the given state, delta T is a preset time length, and V is the total inflation volume (in m) in the air inflation period 3 ) T0 is the absolute temperature, P, at a given atmospheric pressure 3 The gas pressure (in KPa (G)) acquired at the start of the sub-period 3 The gas temperature (in K), B, collected at the beginning of the sub-period 3 Atmospheric pressure (in KPa (A)) acquired at the start of the sub-period 4 The gas pressure (in KPa (G)) acquired at the end of the sub-period, T 4 The gas temperature (in K), B, collected for the end of the sub-period 4 The atmospheric pressure collected for the end time of the sub-period.
And 1022, if the sub-period coincides with the gas supplementing period, using a superposition result of the gas pressure acquired at the calculation starting time and the pressure correction increment value as an updated gas pressure, and determining a gas leakage rate corresponding to the sampling time according to the updated gas pressure, the gas temperature and the atmospheric pressure acquired at the calculation starting time, and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling time.
For example, if it is determined that the time included in the sub-period and the time included in the air supplement period have an intersection, it may be determined that the sub-period and the air supplement period coincide with each other. The gas leakage rate at this sampling time can be calculated according to equation three:
Figure BDA0003079905770000081
wherein, the same parameters in the formula three and the formula one and the formula two have the same meanings, and are not repeated herein.
Generally speaking, when a maintainer detects that the pressure of hydrogen in a cooling system is reduced to about 290kpa (g), the continuous gas supplementing operation is performed until the pressure of hydrogen in the cooling system is about 300kpa (g), gas supplementing is stopped, and when a sub-period coincides with the gas supplementing period, the difference between the gas pressure added by hydrogen supplementation and the gas pressure acquired at the beginning time of the sub-period is large in value, which can seriously reduce the accuracy of subsequent leakage rate calculation.
Therefore, the method and the device can flexibly adjust the use of the gas pressure change caused by gas supplementing in the calculation process according to the time sequence relation between the gas supplementing time period and the sub-time period, so that the gas leakage rate corresponding to each sampling time more conforms to the actual leakage condition.
In one possible implementation, the method further includes:
and in the preset time period, if the gas leakage rate corresponding to the sampling moment exceeds a preset threshold value, performing prompt operation, wherein the prompt operation is used for prompting the sealing operation of the cooling system.
Fig. 2 is a schematic diagram illustrating a calculation result of a method for calculating a hydrogen real-time leakage rate of a generator according to an application example. In the leak rate calculation employed in the related art, a fixed calculation span takes 8 hours. As can be seen from the gas leakage rate calculation result obtained by adopting the method disclosed by the invention, the data shows better continuity. Wherein, the system running the method of the present disclosure found a significant increase in leak rate at about 20:00 on 14 days 10 months. And in 10 months and 15 days, 12:00 or so, the maintenance personnel immediately adopt glue injection operation, and then the leakage rate is immediately reduced to a normal value. At this stage, however, the result calculated and reported using a manual method is difficult to determine the leak rate rise since the rise amplitude is not significant.
Fig. 3 is a block diagram illustrating a generator hydrogen real-time leakage rate calculation device according to an exemplary embodiment. As shown in fig. 3, the apparatus includes:
the first determining module 30 is configured to determine an air supply time period within a preset time period, where the air supply time period is a time period for supplying hydrogen to a cooling system of a hydrogen cooling generator set;
a second determining module 31, configured to determine a pressure correction increment value according to a gas pressure, a gas temperature, and an atmospheric pressure acquired at a time before and after the air supplement time period, where the gas pressure is a pressure of gas in the cooling system, the gas temperature is a temperature of gas in the cooling system, and the atmospheric pressure is an atmospheric pressure of an environment where the cooling system is located;
a third determining module 32, configured to perform the following operations for each sampling time in the preset time period, to obtain a gas leakage rate corresponding to each sampling time:
taking the sampling time before the preset time length of the sampling time as a calculation starting time, and taking the time period between the calculation starting time and the sampling time as a sub-time period corresponding to the sampling time, wherein the preset time length is far longer than the time length of the air supply time period;
if the sub-period is not coincident with the air supplementing period, determining the gas leakage rate corresponding to the sampling time according to the gas pressure, the gas temperature and the atmospheric pressure collected at the initial calculation time and the gas pressure, the gas temperature and the atmospheric pressure collected at the sampling time;
if the sub-period coincides with the air supplementing period, the superposition result of the gas pressure acquired at the calculation starting time and the pressure correction added value is used as the updated gas pressure, and the gas leakage rate corresponding to the sampling time is determined according to the updated gas pressure, the gas temperature and the atmospheric pressure acquired at the calculation starting time, and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling time.
In one possible implementation manner, the first determining module includes:
the first determining submodule is used for taking the earliest sampling moment in a plurality of continuous sampling moments as the starting moment of the gas supplementing period if the gas pressure intensity acquired at the continuous sampling moments is sequentially and continuously increased in the preset period;
and the second determining submodule is used for taking the sampling moment as the ending moment of the gas supplementing period if the gas pressure acquired at a sampling moment after the starting moment is lower than the gas pressure acquired at a sampling moment before the sampling moment in the preset period.
In one possible implementation manner, the second determining module includes:
and the third determining submodule is used for determining the pressure correction increase value according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment immediately before the air supplementing time period and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment immediately after the air supplementing time period.
In one possible implementation, the apparatus further includes:
and the prompting module is used for executing prompting operation if the gas leakage rate corresponding to the sampling moment exceeds a preset threshold value in the preset time period, wherein the prompting operation is used for prompting the sealing operation of the cooling system.
The description of the above apparatus has been detailed in the description of the above method, and is not repeated here.
Fig. 4 is a block diagram illustrating a generator hydrogen real-time leakage rate calculation device according to an exemplary embodiment. For example, the apparatus 1900 may be provided as a server. Referring to fig. 4, the device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by the processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the methods described above.
The device 1900 may also include a power component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to a network, and an input/output (I/O) interface 1958. The device 1900 may operate based on an operating system stored in memory 1932, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 1932, is also provided that includes computer program instructions executable by the processing component 1922 of the apparatus 1900 to perform the above-described methods.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer-readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: 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), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as punch cards or in-groove raised structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be interpreted as a transitory signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or an electrical signal transmitted through an electrical wire.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the disclosure are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (10)

1. A method for calculating a real-time hydrogen leakage rate of a generator is characterized by comprising the following steps:
determining an air supplementing time period within a preset time period, wherein the air supplementing time period is a time period for supplementing hydrogen to a cooling system of a hydrogen cooling generator set;
determining a pressure correction added value according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the moment before and after the gas supplementing time period, wherein the gas pressure is the pressure of the gas in the cooling system, the gas temperature is the temperature of the gas in the cooling system, and the atmospheric pressure is the atmospheric pressure of the environment where the cooling system is located;
aiming at each sampling moment in the preset time period, carrying out the following operations to obtain the gas leakage rate corresponding to each sampling moment:
taking the sampling time before the preset time length of the sampling time as a calculation starting time, and taking the time period between the calculation starting time and the sampling time as a sub-time period corresponding to the sampling time, wherein the preset time length is longer than the time length of the air supply time period;
if the sub-time interval is not coincident with the gas supplementing time interval, determining the gas leakage rate corresponding to the sampling time according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the initial calculation time, and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling time;
if the sub-period coincides with the gas supplementing period, taking a superposition result of the gas pressure acquired at the calculation starting time and the pressure correction added value as an updated gas pressure, and determining a gas leakage rate corresponding to the sampling time according to the updated gas pressure, the gas temperature and the atmospheric pressure acquired at the calculation starting time, and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling time;
determining a pressure correction added value according to the gas pressure, the gas temperature and the atmospheric pressure collected before and after the gas supplementing time period, wherein the pressure correction added value comprises the following steps: determining a pressure correction added value brought by the air replenishing time period according to the formula I;
Figure FDA0003682027350000011
wherein Δ P is a pressure correction increment value, P 1 A gas pressure, T, collected for a sampling moment immediately before the gas supplementation period 1 Gas temperature, B, collected for a sampling instant immediately before the gas supply period 1 Atmospheric pressure, P, acquired at a sampling instant immediately preceding the gas supplementation period 2 A gas pressure, T, collected at a sampling moment immediately after the gas replenishment period 2 Gas temperature, B, collected at a sampling instant immediately after the gas supply period 2 Is the atmospheric pressure collected at a sampling time immediately after the air replenishment period.
2. The method of claim 1, wherein determining the air supplement period within a preset period comprises:
in the preset time period, if the gas pressure acquired at a plurality of continuous sampling moments is sequentially and continuously increased, taking the earliest sampling moment in the plurality of continuous sampling moments as the starting moment of the gas supplementing time period;
and in the preset time period, if the gas pressure acquired at a certain sampling moment after the starting moment is lower than the gas pressure acquired at a sampling moment before the sampling moment, taking the sampling moment as the ending moment of the gas supplementing time period.
3. The method of claim 1, wherein determining a pressure correction increment value based on the gas pressure, gas temperature, and atmospheric pressure collected at times before and after the gas replenishment period comprises:
and determining the pressure correction added value according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment immediately before the air supplementing time period and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment immediately after the air supplementing time period.
4. The method of claim 1, further comprising:
and in the preset time period, if the gas leakage rate corresponding to the sampling moment exceeds a preset threshold value, performing prompt operation, wherein the prompt operation is used for prompting the sealing operation of the cooling system.
5. A device for calculating the real-time hydrogen leakage rate of a generator is characterized by comprising:
the first determining module is used for determining an air supplementing time period within a preset time period, wherein the air supplementing time period is a time period for supplementing hydrogen to a cooling system of a hydrogen cooling generator set;
the second determining module is used for determining a pressure correction increase value according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the moment before and after the gas supplementing time period, wherein the gas pressure is the pressure of the gas in the cooling system, the gas temperature is the temperature of the gas in the cooling system, and the atmospheric pressure is the atmospheric pressure of the environment where the cooling system is located;
a third determining module, configured to perform the following operations for each sampling time in the preset time period, to obtain a gas leakage rate corresponding to each sampling time:
taking the sampling time before the preset duration of the sampling time as a calculation starting time, and taking the time period between the calculation starting time and the sampling time as a sub-time period corresponding to the sampling time, wherein the preset duration is longer than the duration of the gas supplementing time period;
if the sub-period does not coincide with the gas supplementing period, determining the gas leakage rate corresponding to the sampling time according to the gas pressure, the gas temperature and the atmospheric pressure collected at the calculation starting time, and the gas pressure, the gas temperature and the atmospheric pressure collected at the sampling time;
if the sub-period coincides with the gas supplementing period, taking a superposition result of the gas pressure acquired at the calculation starting time and the pressure correction added value as an updated gas pressure, and determining a gas leakage rate corresponding to the sampling time according to the updated gas pressure, the gas temperature and the atmospheric pressure acquired at the calculation starting time, and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling time;
determining a pressure correction added value according to the gas pressure, the gas temperature and the atmospheric pressure collected before and after the gas supplementing time period, wherein the pressure correction added value comprises the following steps: determining a pressure correction added value brought by the air replenishing time period according to the formula I;
Figure FDA0003682027350000031
wherein Δ P is a pressure correction increment value, P 1 A gas pressure, T, acquired at a sampling moment immediately before the gas supplementing time period 1 Gas temperature, B, collected for a sampling instant immediately before the gas supply period 1 Atmospheric pressure, P, acquired at a sampling instant immediately preceding the gas supplementation period 2 A gas pressure, T, collected at a sampling moment immediately after the gas replenishment period 2 Gas temperature, B, collected at a sampling instant immediately after the gas supply period 2 Is the atmospheric pressure collected at a sampling instant immediately after the air-replenishing period.
6. The apparatus of claim 5, wherein the first determining module comprises:
the first determining submodule is used for taking the earliest sampling moment in a plurality of continuous sampling moments as the starting moment of the gas supplementing period if the gas pressure acquired at the continuous sampling moments is sequentially and continuously increased in the preset period;
and the second determining submodule is used for taking the sampling time as the ending time of the gas supplementing time interval if the gas pressure acquired at a certain sampling time after the starting time is lower than the gas pressure acquired at a sampling time before the sampling time in the preset time interval.
7. The apparatus of claim 5, wherein the second determining module comprises:
and the third determining submodule is used for determining the pressure correction increase value according to the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment immediately before the air supplementing time period and the gas pressure, the gas temperature and the atmospheric pressure acquired at the sampling moment immediately after the air supplementing time period.
8. The apparatus of claim 5, further comprising:
and the prompting module is used for executing prompting operation if the gas leakage rate corresponding to the sampling moment exceeds a preset threshold value in the preset time period, wherein the prompting operation is used for prompting the sealing operation of the cooling system.
9. A device for calculating the real-time hydrogen leakage rate of a generator is characterized by comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to perform the method of any one of claims 1 to 4.
10. A non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1 to 4.
CN202110563311.9A 2021-05-24 2021-05-24 Method and device for calculating real-time hydrogen leakage rate of generator Active CN113408104B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110563311.9A CN113408104B (en) 2021-05-24 2021-05-24 Method and device for calculating real-time hydrogen leakage rate of generator

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110563311.9A CN113408104B (en) 2021-05-24 2021-05-24 Method and device for calculating real-time hydrogen leakage rate of generator

Publications (2)

Publication Number Publication Date
CN113408104A CN113408104A (en) 2021-09-17
CN113408104B true CN113408104B (en) 2022-08-19

Family

ID=77679283

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110563311.9A Active CN113408104B (en) 2021-05-24 2021-05-24 Method and device for calculating real-time hydrogen leakage rate of generator

Country Status (1)

Country Link
CN (1) CN113408104B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114783635A (en) * 2022-03-24 2022-07-22 中核核电运行管理有限公司 Method and device for calculating leakage rate of fuel channel of heavy water reactor nuclear power unit

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108443714A (en) * 2018-04-09 2018-08-24 山东省科学院激光研究所 Determine the method and device of pipe leakage
CN111504577A (en) * 2020-05-18 2020-08-07 中密控股股份有限公司 Nuclear main pump mechanical seal testing device with leakage phase state monitoring function and method thereof

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002333381A (en) * 2001-05-10 2002-11-22 Showa Engineering Co Ltd Detection method for leak of hydrogen gas
CA2457707A1 (en) * 2004-02-16 2005-08-16 Florian Tonca Hydrogen generator
US7550113B2 (en) * 2004-09-16 2009-06-23 Proton Energy Systems, Inc. System for maintaining hydrogen purity in electrical generators and method thereof
CN104820727A (en) * 2015-01-30 2015-08-05 广东电网有限责任公司电力科学研究院 Simulation method and device of power generator hydrogen cooling system
CN105913884B (en) * 2016-06-01 2018-04-20 上海发电设备成套设计研究院 A kind of nuclear power station electrical penetration gaseous state monitors system
CN110567657A (en) * 2019-08-16 2019-12-13 武汉格罗夫氢能汽车有限公司 Hydrogen leakage monitoring method for hydrogen energy locomotive

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108443714A (en) * 2018-04-09 2018-08-24 山东省科学院激光研究所 Determine the method and device of pipe leakage
CN111504577A (en) * 2020-05-18 2020-08-07 中密控股股份有限公司 Nuclear main pump mechanical seal testing device with leakage phase state monitoring function and method thereof

Also Published As

Publication number Publication date
CN113408104A (en) 2021-09-17

Similar Documents

Publication Publication Date Title
EP3355145A1 (en) Systems and methods for reliability monitoring
CN113464415B (en) Method, apparatus and computer storage medium for controlling air compressor of air compression station
CN113408104B (en) Method and device for calculating real-time hydrogen leakage rate of generator
US10401881B2 (en) Systems and methods for quantification of a gas turbine inlet filter blockage
CN113312804B (en) Temperature early warning method, device, equipment and storage medium of transformer
EP3392469A2 (en) Compressor water-wash advisory
US11257001B2 (en) Prediction model enhancement
CN110855590A (en) Frequency offset compensation method, system, electronic device and computer readable storage medium
CN113502870B (en) Excavator working condition judging method and device
US20130090889A1 (en) Dynamic regulation of temperature changes using telemetry data analysis
US20160314409A1 (en) Method and system for real time production optimization based on equipment life
CN108226838B (en) Method for realizing precision automatic correction of protection measurement and control device
CN116756597A (en) Wind turbine generator harmonic data real-time monitoring method based on artificial intelligence
US20230185646A1 (en) Method for early warning of failure, electronic device and non-transitory computer-readable storage medium
US8972072B2 (en) Optimizing power consumption in planned projects
US11194685B2 (en) Recording medium for verifying correlation between test signal and test result signal, verification apparatus and verification method
CN114382687B (en) Method, apparatus and medium for controlling air compressor in air compression station
CN112511162A (en) Analog acquisition dynamic compensation method and system
CN112214047B (en) Temperature regulation and control method and device for reaction kettle, computer equipment and storage medium
CN114862084A (en) Daily preventive maintenance work order management method and device during overhaul period of nuclear power plant
CN116795150A (en) System and method for controlling pressure of covering gas of generator stator cooling water tank
US20230314271A1 (en) System and method for detecting coolant leaks in a server system
CN114153798A (en) Method and apparatus for automatically updating emission source, electronic device, and computer-readable storage medium
CN115453991A (en) Energy consumption data model construction method and device, storage medium and processor
CN116504042A (en) Abnormal temperature alarm generation method, device, equipment and medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant